nohup: ignoring input
------------ Options -------------
batch_size: 64
checkpoints_dir: ./checkpoints
cond_drop_prob: 0.1
control: random
ctrl_loss: 0.5
dataset_name: t2m
dropout: 0.2
eval_every_e: 10
ff_size: 1024
force_mask: False
gamma: 0.1
gpu_id: 0
gumbel_sample: False
is_continue: False
is_train: True
latent_dim: 384
log_every: 50
lr: 0.0002
max_epoch: 1500
max_motion_length: 196
milestones: [50000]
n_heads: 6
n_layers: 20
name: test_control_full_V2
save_latest: 500
seed: 3407
share_weight: False
trans_name: t2m_nlayer8_nhead6_ld384_ff1024_cdp0.1_rvq6ns
unit_length: 4
vq_name: rvq_nq6_dc512_nc512_noshare_qdp0.2
warm_up_iter: 2000
xent: 0.5
-------------- End ----------------
Loading VQ Model /scratch/ts1v23/workspace/MMM/output/vq/2025-11-26-00-26-47_testV1_2_128_128_256b/net_last.pth

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Reading ./checkpoints/t2m/Comp_v6_KLD005/opt.txt
Loading dataset t2m ...

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/scratch/ts1v23/.conda/envs/tlcontrol/lib/python3.10/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
  warnings.warn(
Pointer Pointing at 0
Ground Truth Dataset Loading Completed!!!
Reading ./checkpoints/t2m/Comp_v6_KLD005/opt.txt
Loading Evaluation Model Wrapper (Epoch 28) Completed!!
latent_dim: 384, ff_size: 1024, nlayers: 20, nheads: 6, dropout: 0.2
Loading CLIP...
Loaded Transformer from /scratch/ts1v23/workspace/MaskControl/checkpoints/t2m/z2025-12-19-11-17-42_1219_My_t2m_transformer_NEW_VAE_64_real_20/model/net_best_fid.tar with missing keys: ['clip_model.positional_embedding', 'clip_model.text_projection', 'clip_model.logit_scale', 'clip_model.visual.class_embedding', 'clip_model.visual.positional_embedding', 'clip_model.visual.proj', 'clip_model.visual.conv1.weight', 'clip_model.visual.ln_pre.weight', 'clip_model.visual.ln_pre.bias', 'clip_model.visual.transformer.resblocks.0.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.0.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.0.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.0.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.0.ln_1.weight', 'clip_model.visual.transformer.resblocks.0.ln_1.bias', 'clip_model.visual.transformer.resblocks.0.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.0.mlp.c_fc.bias', 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Total parameters of ct2m_transformer net: 131.36M
Total Epochs: 1500, Total Iters: 574500
Iters Per Epoch, Training: 0383, Validation: 023

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:09,  5.07it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.68828067742288 avg: 38.68828067742288
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.773152962327 avg: 38.73071681987494
--> 	 Eva. Repeat 0 :, FID. 0.2352, Diversity Real. 9.4351, Diversity. 9.0907, R_precision_real. [0.52734375 0.70117188 0.79882812], R_precision. [0.4921875  0.66503906 0.76269531], matching_score_real. 2.9062, matching_score_pred. 3.2433, skate_ratio. 0.0434, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.3203 (traj_fail_50cm (Traj err)): 0.1123 (kps_fail_20cm): 0.1263 (kps_fail_50cm (Loc. err)): 0.0282 (kps_mean_err(m) (Avg. err)): 0.0951 
ep/it: 0-  49 niter:    50  1m 33s (- 17900m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.5958  loss_TTT: 0.0772  acc: 0.5759  lr: 0.0000 
ep/it: 0-  99 niter:   100  1m 48s (- 10341m 45s) completed:  0%) loss_emb: 0.0000  loss: 1.5477  loss_TTT: 0.0741  acc: 0.5800  lr: 0.0000 
ep/it: 0- 149 niter:   150  2m 2s (- 7827m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5601  loss_TTT: 0.0783  acc: 0.5755  lr: 0.0000 
ep/it: 0- 199 niter:   200  2m 16s (- 6533m 48s) completed:  0%) loss_emb: 0.0000  loss: 1.5309  loss_TTT: 0.0790  acc: 0.5794  lr: 0.0000 
ep/it: 0- 249 niter:   250  2m 30s (- 5773m 13s) completed:  0%) loss_emb: 0.0000  loss: 1.5308  loss_TTT: 0.0779  acc: 0.5800  lr: 0.0000 
ep/it: 0- 299 niter:   300  2m 44s (- 5260m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5353  loss_TTT: 0.0762  acc: 0.5786  lr: 0.0000 
ep/it: 0- 349 niter:   350  2m 58s (- 4891m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.5423  loss_TTT: 0.0759  acc: 0.5762  lr: 0.0000 
Validation loss:1.729, accuracy:0.552
Improved accuracy from 0.00 to 0.55 !!!
ep/it: 1-  16 niter:   400  3m 16s (- 4695m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5232  loss_TTT: 0.0741  acc: 0.5822  lr: 0.0000 
ep/it: 1-  66 niter:   450  3m 31s (- 4497m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5135  loss_TTT: 0.0745  acc: 0.5820  lr: 0.0000 
ep/it: 1- 116 niter:   500  3m 45s (- 4323m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.5365  loss_TTT: 0.0748  acc: 0.5791  lr: 0.0000 
ep/it: 1- 166 niter:   550  4m 1s (- 4195m 34s) completed:  0%) loss_emb: 0.0000  loss: 1.5246  loss_TTT: 0.0804  acc: 0.5805  lr: 0.0001 
ep/it: 1- 216 niter:   600  4m 15s (- 4077m 4s) completed:  0%) loss_emb: 0.0000  loss: 1.5342  loss_TTT: 0.0751  acc: 0.5776  lr: 0.0001 
ep/it: 1- 266 niter:   650  4m 29s (- 3964m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5343  loss_TTT: 0.0773  acc: 0.5781  lr: 0.0001 
ep/it: 1- 316 niter:   700  4m 44s (- 3884m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.5108  loss_TTT: 0.0739  acc: 0.5821  lr: 0.0001 
ep/it: 1- 366 niter:   750  4m 59s (- 3813m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.5456  loss_TTT: 0.0726  acc: 0.5765  lr: 0.0001 
Validation loss:1.723, accuracy:0.552
ep/it: 2-  33 niter:   800  5m 16s (- 3777m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5065  loss_TTT: 0.0720  acc: 0.5853  lr: 0.0001 
ep/it: 2-  83 niter:   850  5m 30s (- 3721m 48s) completed:  0%) loss_emb: 0.0000  loss: 1.5543  loss_TTT: 0.0771  acc: 0.5744  lr: 0.0001 
ep/it: 2- 133 niter:   900  5m 45s (- 3669m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5191  loss_TTT: 0.0769  acc: 0.5830  lr: 0.0001 
ep/it: 2- 183 niter:   950  5m 59s (- 3621m 4s) completed:  0%) loss_emb: 0.0000  loss: 1.5187  loss_TTT: 0.0742  acc: 0.5823  lr: 0.0001 
ep/it: 2- 233 niter:  1000  6m 14s (- 3575m 46s) completed:  0%) loss_emb: 0.0000  loss: 1.5329  loss_TTT: 0.0747  acc: 0.5790  lr: 0.0001 
ep/it: 2- 283 niter:  1050  6m 29s (- 3541m 42s) completed:  0%) loss_emb: 0.0000  loss: 1.5090  loss_TTT: 0.0728  acc: 0.5843  lr: 0.0001 
ep/it: 2- 333 niter:  1100  6m 43s (- 3508m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5314  loss_TTT: 0.0753  acc: 0.5785  lr: 0.0001 
Validation loss:1.795, accuracy:0.536
ep/it: 3-   0 niter:  1150  7m 0s (- 3493m 22s) completed:  0%) loss_emb: 0.0000  loss: 1.5236  loss_TTT: 0.0734  acc: 0.5805  lr: 0.0001 
ep/it: 3-  50 niter:  1200  7m 14s (- 3462m 47s) completed:  0%) loss_emb: 0.0000  loss: 1.5184  loss_TTT: 0.0725  acc: 0.5833  lr: 0.0001 
ep/it: 3- 100 niter:  1250  7m 30s (- 3440m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5326  loss_TTT: 0.0741  acc: 0.5805  lr: 0.0001 
ep/it: 3- 150 niter:  1300  7m 44s (- 3415m 45s) completed:  0%) loss_emb: 0.0000  loss: 1.5416  loss_TTT: 0.0733  acc: 0.5760  lr: 0.0001 
ep/it: 3- 200 niter:  1350  7m 59s (- 3393m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5649  loss_TTT: 0.0764  acc: 0.5720  lr: 0.0001 
ep/it: 3- 250 niter:  1400  8m 14s (- 3372m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.5385  loss_TTT: 0.0724  acc: 0.5772  lr: 0.0001 
ep/it: 3- 300 niter:  1450  8m 28s (- 3352m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.5339  loss_TTT: 0.0762  acc: 0.5788  lr: 0.0001 
ep/it: 3- 350 niter:  1500  8m 43s (- 3332m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.5570  loss_TTT: 0.0743  acc: 0.5729  lr: 0.0001 
Validation loss:1.729, accuracy:0.547
ep/it: 4-  17 niter:  1550  9m 0s (- 3331m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.5159  loss_TTT: 0.0707  acc: 0.5847  lr: 0.0002 
ep/it: 4-  67 niter:  1600  9m 14s (- 3311m 41s) completed:  0%) loss_emb: 0.0000  loss: 1.5144  loss_TTT: 0.0740  acc: 0.5845  lr: 0.0002 
ep/it: 4- 117 niter:  1650  9m 29s (- 3294m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5035  loss_TTT: 0.0762  acc: 0.5888  lr: 0.0002 
ep/it: 4- 167 niter:  1700  9m 44s (- 3281m 9s) completed:  0%) loss_emb: 0.0000  loss: 1.5642  loss_TTT: 0.0752  acc: 0.5717  lr: 0.0002 
ep/it: 4- 217 niter:  1750  9m 59s (- 3268m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5061  loss_TTT: 0.0699  acc: 0.5853  lr: 0.0002 
ep/it: 4- 267 niter:  1800  10m 14s (- 3256m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.5208  loss_TTT: 0.0741  acc: 0.5822  lr: 0.0002 
ep/it: 4- 317 niter:  1850  10m 28s (- 3244m 34s) completed:  0%) loss_emb: 0.0000  loss: 1.5790  loss_TTT: 0.0776  acc: 0.5694  lr: 0.0002 
ep/it: 4- 367 niter:  1900  10m 43s (- 3231m 21s) completed:  0%) loss_emb: 0.0000  loss: 1.5578  loss_TTT: 0.0764  acc: 0.5729  lr: 0.0002 
Validation loss:1.764, accuracy:0.542
ep/it: 5-  34 niter:  1950  11m 0s (- 3231m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.4897  loss_TTT: 0.0719  acc: 0.5903  lr: 0.0002 
ep/it: 5-  84 niter:  2000  11m 15s (- 3221m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.5164  loss_TTT: 0.0715  acc: 0.5836  lr: 0.0002 
ep/it: 5- 134 niter:  2050  11m 30s (- 3212m 41s) completed:  0%) loss_emb: 0.0000  loss: 1.5397  loss_TTT: 0.0723  acc: 0.5787  lr: 0.0002 
ep/it: 5- 184 niter:  2100  11m 44s (- 3200m 9s) completed:  0%) loss_emb: 0.0000  loss: 1.5207  loss_TTT: 0.0758  acc: 0.5828  lr: 0.0002 
ep/it: 5- 234 niter:  2150  11m 58s (- 3189m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5478  loss_TTT: 0.0711  acc: 0.5764  lr: 0.0002 
ep/it: 5- 284 niter:  2200  12m 13s (- 3179m 58s) completed:  0%) loss_emb: 0.0000  loss: 1.5397  loss_TTT: 0.0715  acc: 0.5787  lr: 0.0002 
ep/it: 5- 334 niter:  2250  12m 27s (- 3170m 30s) completed:  0%) loss_emb: 0.0000  loss: 1.5547  loss_TTT: 0.0739  acc: 0.5737  lr: 0.0002 
Validation loss:1.731, accuracy:0.552
ep/it: 6-   1 niter:  2300  12m 45s (- 3173m 36s) completed:  0%) loss_emb: 0.0000  loss: 1.5378  loss_TTT: 0.0755  acc: 0.5781  lr: 0.0002 
ep/it: 6-  51 niter:  2350  13m 0s (- 3166m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.5470  loss_TTT: 0.0757  acc: 0.5761  lr: 0.0002 
ep/it: 6- 101 niter:  2400  13m 14s (- 3158m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.5335  loss_TTT: 0.0746  acc: 0.5785  lr: 0.0002 
ep/it: 6- 151 niter:  2450  13m 29s (- 3150m 30s) completed:  0%) loss_emb: 0.0000  loss: 1.5439  loss_TTT: 0.0752  acc: 0.5765  lr: 0.0002 
ep/it: 6- 201 niter:  2500  13m 44s (- 3143m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.4967  loss_TTT: 0.0693  acc: 0.5870  lr: 0.0002 
ep/it: 6- 251 niter:  2550  13m 59s (- 3138m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5546  loss_TTT: 0.0731  acc: 0.5722  lr: 0.0002 
ep/it: 6- 301 niter:  2600  14m 14s (- 3132m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.5388  loss_TTT: 0.0745  acc: 0.5776  lr: 0.0002 
ep/it: 6- 351 niter:  2650  14m 29s (- 3125m 26s) completed:  0%) loss_emb: 0.0000  loss: 1.5571  loss_TTT: 0.0736  acc: 0.5720  lr: 0.0002 
Validation loss:1.719, accuracy:0.550
ep/it: 7-  18 niter:  2700  14m 45s (- 3125m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.5210  loss_TTT: 0.0732  acc: 0.5836  lr: 0.0002 
ep/it: 7-  68 niter:  2750  14m 59s (- 3117m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.5268  loss_TTT: 0.0745  acc: 0.5803  lr: 0.0002 
ep/it: 7- 118 niter:  2800  15m 13s (- 3109m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5199  loss_TTT: 0.0721  acc: 0.5819  lr: 0.0002 
ep/it: 7- 168 niter:  2850  15m 28s (- 3103m 48s) completed:  0%) loss_emb: 0.0000  loss: 1.5173  loss_TTT: 0.0696  acc: 0.5817  lr: 0.0002 
ep/it: 7- 218 niter:  2900  15m 42s (- 3097m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.5319  loss_TTT: 0.0734  acc: 0.5778  lr: 0.0002 
ep/it: 7- 268 niter:  2950  15m 57s (- 3091m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.5209  loss_TTT: 0.0757  acc: 0.5824  lr: 0.0002 
ep/it: 7- 318 niter:  3000  16m 11s (- 3084m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.4883  loss_TTT: 0.0686  acc: 0.5900  lr: 0.0002 
ep/it: 7- 368 niter:  3050  16m 25s (- 3078m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5481  loss_TTT: 0.0734  acc: 0.5727  lr: 0.0002 
Validation loss:1.754, accuracy:0.543
ep/it: 8-  35 niter:  3100  16m 42s (- 3080m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5042  loss_TTT: 0.0707  acc: 0.5852  lr: 0.0002 
ep/it: 8-  85 niter:  3150  16m 57s (- 3076m 26s) completed:  0%) loss_emb: 0.0000  loss: 1.5369  loss_TTT: 0.0733  acc: 0.5782  lr: 0.0002 
ep/it: 8- 135 niter:  3200  17m 12s (- 3073m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.5276  loss_TTT: 0.0725  acc: 0.5789  lr: 0.0002 
ep/it: 8- 185 niter:  3250  17m 27s (- 3069m 34s) completed:  0%) loss_emb: 0.0000  loss: 1.5333  loss_TTT: 0.0709  acc: 0.5778  lr: 0.0002 
ep/it: 8- 235 niter:  3300  17m 42s (- 3064m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.4997  loss_TTT: 0.0713  acc: 0.5868  lr: 0.0002 
ep/it: 8- 285 niter:  3350  17m 56s (- 3059m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5230  loss_TTT: 0.0718  acc: 0.5795  lr: 0.0002 
ep/it: 8- 335 niter:  3400  18m 11s (- 3055m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5172  loss_TTT: 0.0726  acc: 0.5813  lr: 0.0002 
Validation loss:1.760, accuracy:0.543
ep/it: 9-   2 niter:  3450  18m 28s (- 3058m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.4953  loss_TTT: 0.0665  acc: 0.5859  lr: 0.0002 
ep/it: 9-  52 niter:  3500  18m 42s (- 3053m 13s) completed:  0%) loss_emb: 0.0000  loss: 1.5344  loss_TTT: 0.0724  acc: 0.5771  lr: 0.0002 
ep/it: 9- 102 niter:  3550  18m 58s (- 3051m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5135  loss_TTT: 0.0728  acc: 0.5817  lr: 0.0002 
ep/it: 9- 152 niter:  3600  19m 13s (- 3047m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5228  loss_TTT: 0.0730  acc: 0.5812  lr: 0.0002 
ep/it: 9- 202 niter:  3650  19m 28s (- 3044m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.5351  loss_TTT: 0.0706  acc: 0.5774  lr: 0.0002 
ep/it: 9- 252 niter:  3700  19m 42s (- 3040m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.5216  loss_TTT: 0.0709  acc: 0.5797  lr: 0.0002 
ep/it: 9- 302 niter:  3750  19m 57s (- 3036m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5469  loss_TTT: 0.0753  acc: 0.5741  lr: 0.0002 
ep/it: 9- 352 niter:  3800  20m 11s (- 3032m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.4998  loss_TTT: 0.0720  acc: 0.5844  lr: 0.0002 
Validation loss:1.731, accuracy:0.548
ep/it:10-  19 niter:  3850  20m 28s (- 3035m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.5536  loss_TTT: 0.0728  acc: 0.5725  lr: 0.0002 
ep/it:10-  69 niter:  3900  20m 43s (- 3031m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5542  loss_TTT: 0.0734  acc: 0.5719  lr: 0.0002 
ep/it:10- 119 niter:  3950  20m 57s (- 3028m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5307  loss_TTT: 0.0688  acc: 0.5768  lr: 0.0002 
ep/it:10- 169 niter:  4000  21m 12s (- 3023m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5372  loss_TTT: 0.0718  acc: 0.5757  lr: 0.0002 
ep/it:10- 219 niter:  4050  21m 27s (- 3021m 19s) completed:  0%) loss_emb: 0.0000  loss: 1.4942  loss_TTT: 0.0706  acc: 0.5861  lr: 0.0002 
ep/it:10- 269 niter:  4100  21m 41s (- 3018m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.5049  loss_TTT: 0.0707  acc: 0.5844  lr: 0.0002 
ep/it:10- 319 niter:  4150  21m 56s (- 3014m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5175  loss_TTT: 0.0694  acc: 0.5808  lr: 0.0002 
ep/it:10- 369 niter:  4200  22m 10s (- 3011m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.5061  loss_TTT: 0.0702  acc: 0.5835  lr: 0.0002 
Validation loss:1.735, accuracy:0.545
ep/it:11-  36 niter:  4250  22m 27s (- 3013m 16s) completed:  0%) loss_emb: 0.0000  loss: 1.4874  loss_TTT: 0.0699  acc: 0.5894  lr: 0.0002 
ep/it:11-  86 niter:  4300  22m 41s (- 3009m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5101  loss_TTT: 0.0685  acc: 0.5826  lr: 0.0002 
ep/it:11- 136 niter:  4350  22m 56s (- 3006m 19s) completed:  0%) loss_emb: 0.0000  loss: 1.5246  loss_TTT: 0.0714  acc: 0.5772  lr: 0.0002 
ep/it:11- 186 niter:  4400  23m 11s (- 3004m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.5196  loss_TTT: 0.0730  acc: 0.5800  lr: 0.0002 
ep/it:11- 236 niter:  4450  23m 25s (- 3001m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.5187  loss_TTT: 0.0671  acc: 0.5806  lr: 0.0002 
ep/it:11- 286 niter:  4500  23m 40s (- 2998m 52s) completed:  0%) loss_emb: 0.0000  loss: 1.5307  loss_TTT: 0.0714  acc: 0.5772  lr: 0.0002 
ep/it:11- 336 niter:  4550  23m 55s (- 2997m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.5246  loss_TTT: 0.0719  acc: 0.5794  lr: 0.0002 
Validation loss:1.728, accuracy:0.549
ep/it:12-   3 niter:  4600  24m 12s (- 3000m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.4993  loss_TTT: 0.0660  acc: 0.5855  lr: 0.0002 
ep/it:12-  53 niter:  4650  24m 27s (- 2997m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.4913  loss_TTT: 0.0680  acc: 0.5878  lr: 0.0002 
ep/it:12- 103 niter:  4700  24m 42s (- 2995m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.5179  loss_TTT: 0.0677  acc: 0.5801  lr: 0.0002 
ep/it:12- 153 niter:  4750  24m 56s (- 2992m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5173  loss_TTT: 0.0705  acc: 0.5801  lr: 0.0002 
ep/it:12- 203 niter:  4800  25m 11s (- 2989m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.4899  loss_TTT: 0.0697  acc: 0.5885  lr: 0.0002 
ep/it:12- 253 niter:  4850  25m 25s (- 2987m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5014  loss_TTT: 0.0683  acc: 0.5844  lr: 0.0002 
ep/it:12- 303 niter:  4900  25m 40s (- 2984m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5180  loss_TTT: 0.0676  acc: 0.5805  lr: 0.0002 
ep/it:12- 353 niter:  4950  25m 54s (- 2981m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5134  loss_TTT: 0.0741  acc: 0.5807  lr: 0.0002 
Validation loss:1.719, accuracy:0.550
ep/it:13-  20 niter:  5000  26m 11s (- 2984m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.5254  loss_TTT: 0.0703  acc: 0.5764  lr: 0.0002 
ep/it:13-  70 niter:  5050  26m 26s (- 2982m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.5166  loss_TTT: 0.0707  acc: 0.5801  lr: 0.0002 
ep/it:13- 120 niter:  5100  26m 41s (- 2979m 19s) completed:  0%) loss_emb: 0.0000  loss: 1.4888  loss_TTT: 0.0723  acc: 0.5876  lr: 0.0002 
ep/it:13- 170 niter:  5150  26m 55s (- 2976m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.5078  loss_TTT: 0.0702  acc: 0.5834  lr: 0.0002 
ep/it:13- 220 niter:  5200  27m 9s (- 2974m 1s) completed:  0%) loss_emb: 0.0000  loss: 1.4901  loss_TTT: 0.0689  acc: 0.5853  lr: 0.0002 
ep/it:13- 270 niter:  5250  27m 23s (- 2970m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.4847  loss_TTT: 0.0667  acc: 0.5867  lr: 0.0002 
ep/it:13- 320 niter:  5300  27m 38s (- 2968m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.5287  loss_TTT: 0.0689  acc: 0.5767  lr: 0.0002 
ep/it:13- 370 niter:  5350  27m 52s (- 2965m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5122  loss_TTT: 0.0676  acc: 0.5809  lr: 0.0002 
Validation loss:1.728, accuracy:0.547
ep/it:14-  37 niter:  5400  28m 9s (- 2967m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.4955  loss_TTT: 0.0661  acc: 0.5849  lr: 0.0002 
ep/it:14-  87 niter:  5450  28m 24s (- 2965m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5034  loss_TTT: 0.0672  acc: 0.5835  lr: 0.0002 
ep/it:14- 137 niter:  5500  28m 38s (- 2963m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5413  loss_TTT: 0.0678  acc: 0.5719  lr: 0.0002 
ep/it:14- 187 niter:  5550  28m 54s (- 2962m 52s) completed:  0%) loss_emb: 0.0000  loss: 1.5147  loss_TTT: 0.0701  acc: 0.5821  lr: 0.0002 
ep/it:14- 237 niter:  5600  29m 8s (- 2960m 21s) completed:  0%) loss_emb: 0.0000  loss: 1.5052  loss_TTT: 0.0668  acc: 0.5827  lr: 0.0002 
ep/it:14- 287 niter:  5650  29m 23s (- 2959m 1s) completed:  0%) loss_emb: 0.0000  loss: 1.4986  loss_TTT: 0.0693  acc: 0.5858  lr: 0.0002 
ep/it:14- 337 niter:  5700  29m 38s (- 2957m 42s) completed:  0%) loss_emb: 0.0000  loss: 1.5233  loss_TTT: 0.0692  acc: 0.5784  lr: 0.0002 
Validation loss:1.691, accuracy:0.557
Improved accuracy from 0.55 to 0.56 !!!
ep/it:15-   4 niter:  5750  29m 55s (- 2960m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.5000  loss_TTT: 0.0659  acc: 0.5829  lr: 0.0002 
ep/it:15-  54 niter:  5800  30m 10s (- 2958m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.4804  loss_TTT: 0.0637  acc: 0.5873  lr: 0.0002 
ep/it:15- 104 niter:  5850  30m 24s (- 2956m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.5104  loss_TTT: 0.0657  acc: 0.5808  lr: 0.0002 
ep/it:15- 154 niter:  5900  30m 39s (- 2954m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4981  loss_TTT: 0.0659  acc: 0.5835  lr: 0.0002 
ep/it:15- 204 niter:  5950  30m 54s (- 2952m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.5036  loss_TTT: 0.0696  acc: 0.5848  lr: 0.0002 
ep/it:15- 254 niter:  6000  31m 9s (- 2951m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.4429  loss_TTT: 0.0668  acc: 0.5986  lr: 0.0002 
ep/it:15- 304 niter:  6050  31m 23s (- 2950m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.5162  loss_TTT: 0.0684  acc: 0.5795  lr: 0.0002 
ep/it:15- 354 niter:  6100  31m 38s (- 2947m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4931  loss_TTT: 0.0661  acc: 0.5855  lr: 0.0002 
Validation loss:1.733, accuracy:0.546
ep/it:16-  21 niter:  6150  31m 54s (- 2949m 27s) completed:  1%) loss_emb: 0.0000  loss: 1.5218  loss_TTT: 0.0682  acc: 0.5789  lr: 0.0002 
ep/it:16-  71 niter:  6200  32m 8s (- 2946m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.5105  loss_TTT: 0.0662  acc: 0.5816  lr: 0.0002 
ep/it:16- 121 niter:  6250  32m 23s (- 2944m 47s) completed:  1%) loss_emb: 0.0000  loss: 1.5059  loss_TTT: 0.0704  acc: 0.5818  lr: 0.0002 
ep/it:16- 171 niter:  6300  32m 37s (- 2942m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.5107  loss_TTT: 0.0673  acc: 0.5814  lr: 0.0002 
ep/it:16- 221 niter:  6350  32m 52s (- 2941m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.4855  loss_TTT: 0.0663  acc: 0.5866  lr: 0.0002 
ep/it:16- 271 niter:  6400  33m 6s (- 2938m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.5181  loss_TTT: 0.0709  acc: 0.5806  lr: 0.0002 
ep/it:16- 321 niter:  6450  33m 21s (- 2937m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.5042  loss_TTT: 0.0669  acc: 0.5825  lr: 0.0002 
ep/it:16- 371 niter:  6500  33m 36s (- 2936m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4936  loss_TTT: 0.0665  acc: 0.5855  lr: 0.0002 
Validation loss:1.684, accuracy:0.556
ep/it:17-  38 niter:  6550  33m 53s (- 2939m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4917  loss_TTT: 0.0646  acc: 0.5841  lr: 0.0002 
ep/it:17-  88 niter:  6600  34m 8s (- 2937m 30s) completed:  1%) loss_emb: 0.0000  loss: 1.5204  loss_TTT: 0.0677  acc: 0.5776  lr: 0.0002 
ep/it:17- 138 niter:  6650  34m 22s (- 2935m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.5028  loss_TTT: 0.0685  acc: 0.5818  lr: 0.0002 
ep/it:17- 188 niter:  6700  34m 37s (- 2934m 18s) completed:  1%) loss_emb: 0.0000  loss: 1.4622  loss_TTT: 0.0661  acc: 0.5930  lr: 0.0002 
ep/it:17- 238 niter:  6750  34m 52s (- 2933m 12s) completed:  1%) loss_emb: 0.0000  loss: 1.4939  loss_TTT: 0.0674  acc: 0.5840  lr: 0.0002 
ep/it:17- 288 niter:  6800  35m 7s (- 2932m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.5168  loss_TTT: 0.0650  acc: 0.5783  lr: 0.0002 
ep/it:17- 338 niter:  6850  35m 21s (- 2930m 5s) completed:  1%) loss_emb: 0.0000  loss: 1.5106  loss_TTT: 0.0646  acc: 0.5793  lr: 0.0002 
Validation loss:1.719, accuracy:0.550
ep/it:18-   5 niter:  6900  35m 38s (- 2931m 43s) completed:  1%) loss_emb: 0.0000  loss: 1.4879  loss_TTT: 0.0646  acc: 0.5860  lr: 0.0002 
ep/it:18-  55 niter:  6950  35m 52s (- 2929m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4876  loss_TTT: 0.0653  acc: 0.5857  lr: 0.0002 
ep/it:18- 105 niter:  7000  36m 6s (- 2927m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.5090  loss_TTT: 0.0656  acc: 0.5811  lr: 0.0002 
ep/it:18- 155 niter:  7050  36m 21s (- 2926m 55s) completed:  1%) loss_emb: 0.0000  loss: 1.4711  loss_TTT: 0.0668  acc: 0.5905  lr: 0.0002 
ep/it:18- 205 niter:  7100  36m 36s (- 2925m 16s) completed:  1%) loss_emb: 0.0000  loss: 1.4994  loss_TTT: 0.0686  acc: 0.5825  lr: 0.0002 
ep/it:18- 255 niter:  7150  36m 50s (- 2923m 35s) completed:  1%) loss_emb: 0.0000  loss: 1.5322  loss_TTT: 0.0669  acc: 0.5753  lr: 0.0002 
ep/it:18- 305 niter:  7200  37m 4s (- 2921m 29s) completed:  1%) loss_emb: 0.0000  loss: 1.5107  loss_TTT: 0.0658  acc: 0.5805  lr: 0.0002 
ep/it:18- 355 niter:  7250  37m 19s (- 2920m 12s) completed:  1%) loss_emb: 0.0000  loss: 1.4802  loss_TTT: 0.0637  acc: 0.5863  lr: 0.0002 
Validation loss:1.712, accuracy:0.549
ep/it:19-  22 niter:  7300  37m 36s (- 2922m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4749  loss_TTT: 0.0642  acc: 0.5893  lr: 0.0002 
ep/it:19-  72 niter:  7350  37m 51s (- 2920m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4770  loss_TTT: 0.0663  acc: 0.5877  lr: 0.0002 
ep/it:19- 122 niter:  7400  38m 5s (- 2919m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.5055  loss_TTT: 0.0678  acc: 0.5817  lr: 0.0002 
ep/it:19- 172 niter:  7450  38m 20s (- 2918m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.5028  loss_TTT: 0.0695  acc: 0.5816  lr: 0.0002 
ep/it:19- 222 niter:  7500  38m 35s (- 2917m 13s) completed:  1%) loss_emb: 0.0000  loss: 1.5147  loss_TTT: 0.0695  acc: 0.5790  lr: 0.0002 
ep/it:19- 272 niter:  7550  38m 50s (- 2916m 12s) completed:  1%) loss_emb: 0.0000  loss: 1.4553  loss_TTT: 0.0638  acc: 0.5940  lr: 0.0002 
ep/it:19- 322 niter:  7600  39m 4s (- 2914m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4869  loss_TTT: 0.0641  acc: 0.5854  lr: 0.0002 
ep/it:19- 372 niter:  7650  39m 18s (- 2913m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.4658  loss_TTT: 0.0644  acc: 0.5906  lr: 0.0002 
Validation loss:1.719, accuracy:0.547
ep/it:20-  39 niter:  7700  39m 36s (- 2915m 27s) completed:  1%) loss_emb: 0.0000  loss: 1.4714  loss_TTT: 0.0639  acc: 0.5887  lr: 0.0002 
ep/it:20-  89 niter:  7750  39m 51s (- 2914m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4648  loss_TTT: 0.0616  acc: 0.5924  lr: 0.0002 
ep/it:20- 139 niter:  7800  40m 5s (- 2913m 21s) completed:  1%) loss_emb: 0.0000  loss: 1.5052  loss_TTT: 0.0642  acc: 0.5798  lr: 0.0002 
ep/it:20- 189 niter:  7850  40m 20s (- 2912m 9s) completed:  1%) loss_emb: 0.0000  loss: 1.4807  loss_TTT: 0.0659  acc: 0.5877  lr: 0.0002 
ep/it:20- 239 niter:  7900  40m 35s (- 2911m 12s) completed:  1%) loss_emb: 0.0000  loss: 1.4951  loss_TTT: 0.0654  acc: 0.5828  lr: 0.0002 
ep/it:20- 289 niter:  7950  40m 49s (- 2909m 13s) completed:  1%) loss_emb: 0.0000  loss: 1.5056  loss_TTT: 0.0662  acc: 0.5805  lr: 0.0002 
ep/it:20- 339 niter:  8000  41m 3s (- 2907m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4994  loss_TTT: 0.0643  acc: 0.5822  lr: 0.0002 
Validation loss:1.650, accuracy:0.565
Improved accuracy from 0.56 to 0.56 !!!
ep/it:21-   6 niter:  8050  41m 21s (- 2910m 16s) completed:  1%) loss_emb: 0.0000  loss: 1.4736  loss_TTT: 0.0633  acc: 0.5894  lr: 0.0002 
ep/it:21-  56 niter:  8100  41m 36s (- 2909m 3s) completed:  1%) loss_emb: 0.0000  loss: 1.4741  loss_TTT: 0.0634  acc: 0.5877  lr: 0.0002 
ep/it:21- 106 niter:  8150  41m 50s (- 2907m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4957  loss_TTT: 0.0655  acc: 0.5830  lr: 0.0002 
ep/it:21- 156 niter:  8200  42m 5s (- 2907m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.5267  loss_TTT: 0.0661  acc: 0.5760  lr: 0.0002 
ep/it:21- 206 niter:  8250  42m 20s (- 2905m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4943  loss_TTT: 0.0668  acc: 0.5850  lr: 0.0002 
ep/it:21- 256 niter:  8300  42m 34s (- 2904m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.4875  loss_TTT: 0.0665  acc: 0.5861  lr: 0.0002 
ep/it:21- 306 niter:  8350  42m 48s (- 2902m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4827  loss_TTT: 0.0673  acc: 0.5873  lr: 0.0002 
ep/it:21- 356 niter:  8400  43m 3s (- 2901m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4972  loss_TTT: 0.0645  acc: 0.5847  lr: 0.0002 
Validation loss:1.694, accuracy:0.552
ep/it:22-  23 niter:  8450  43m 20s (- 2903m 34s) completed:  1%) loss_emb: 0.0000  loss: 1.4659  loss_TTT: 0.0652  acc: 0.5917  lr: 0.0002 
ep/it:22-  73 niter:  8500  43m 35s (- 2902m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4942  loss_TTT: 0.0654  acc: 0.5818  lr: 0.0002 
ep/it:22- 123 niter:  8550  43m 51s (- 2902m 40s) completed:  1%) loss_emb: 0.0000  loss: 1.5085  loss_TTT: 0.0646  acc: 0.5802  lr: 0.0002 
ep/it:22- 173 niter:  8600  44m 5s (- 2901m 20s) completed:  1%) loss_emb: 0.0000  loss: 1.4729  loss_TTT: 0.0651  acc: 0.5885  lr: 0.0002 
ep/it:22- 223 niter:  8650  44m 20s (- 2900m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.4898  loss_TTT: 0.0642  acc: 0.5851  lr: 0.0002 
ep/it:22- 273 niter:  8700  44m 35s (- 2899m 31s) completed:  1%) loss_emb: 0.0000  loss: 1.5245  loss_TTT: 0.0663  acc: 0.5757  lr: 0.0002 
ep/it:22- 323 niter:  8750  44m 49s (- 2897m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4931  loss_TTT: 0.0653  acc: 0.5840  lr: 0.0002 
ep/it:22- 373 niter:  8800  45m 3s (- 2896m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.5097  loss_TTT: 0.0650  acc: 0.5804  lr: 0.0002 
Validation loss:1.641, accuracy:0.568
Improved accuracy from 0.56 to 0.57 !!!
ep/it:23-  40 niter:  8850  45m 20s (- 2898m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.5063  loss_TTT: 0.0633  acc: 0.5798  lr: 0.0002 
ep/it:23-  90 niter:  8900  45m 35s (- 2897m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.4805  loss_TTT: 0.0625  acc: 0.5855  lr: 0.0002 
ep/it:23- 140 niter:  8950  45m 49s (- 2895m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4736  loss_TTT: 0.0621  acc: 0.5884  lr: 0.0002 
ep/it:23- 190 niter:  9000  46m 3s (- 2894m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.5431  loss_TTT: 0.0673  acc: 0.5711  lr: 0.0002 
ep/it:23- 240 niter:  9050  46m 18s (- 2893m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.5012  loss_TTT: 0.0638  acc: 0.5816  lr: 0.0002 
ep/it:23- 290 niter:  9100  46m 32s (- 2891m 55s) completed:  1%) loss_emb: 0.0000  loss: 1.4956  loss_TTT: 0.0652  acc: 0.5846  lr: 0.0002 
ep/it:23- 340 niter:  9150  46m 47s (- 2891m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.5214  loss_TTT: 0.0673  acc: 0.5777  lr: 0.0002 
Validation loss:1.726, accuracy:0.548
ep/it:24-   7 niter:  9200  47m 4s (- 2892m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.5007  loss_TTT: 0.0652  acc: 0.5821  lr: 0.0002 
ep/it:24-  57 niter:  9250  47m 18s (- 2891m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.5051  loss_TTT: 0.0653  acc: 0.5810  lr: 0.0002 
ep/it:24- 107 niter:  9300  47m 33s (- 2890m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.5087  loss_TTT: 0.0662  acc: 0.5804  lr: 0.0002 
ep/it:24- 157 niter:  9350  47m 48s (- 2889m 22s) completed:  1%) loss_emb: 0.0000  loss: 1.4653  loss_TTT: 0.0639  acc: 0.5893  lr: 0.0002 
ep/it:24- 207 niter:  9400  48m 2s (- 2888m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.5147  loss_TTT: 0.0636  acc: 0.5778  lr: 0.0002 
ep/it:24- 257 niter:  9450  48m 17s (- 2887m 18s) completed:  1%) loss_emb: 0.0000  loss: 1.4946  loss_TTT: 0.0655  acc: 0.5827  lr: 0.0002 
ep/it:24- 307 niter:  9500  48m 32s (- 2886m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.5166  loss_TTT: 0.0652  acc: 0.5776  lr: 0.0002 
ep/it:24- 357 niter:  9550  48m 47s (- 2885m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.4718  loss_TTT: 0.0657  acc: 0.5874  lr: 0.0002 
Validation loss:1.667, accuracy:0.557
ep/it:25-  24 niter:  9600  49m 4s (- 2887m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4872  loss_TTT: 0.0635  acc: 0.5844  lr: 0.0002 
ep/it:25-  74 niter:  9650  49m 18s (- 2886m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.4895  loss_TTT: 0.0648  acc: 0.5854  lr: 0.0002 
ep/it:25- 124 niter:  9700  49m 32s (- 2885m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.4750  loss_TTT: 0.0628  acc: 0.5884  lr: 0.0002 
ep/it:25- 174 niter:  9750  49m 47s (- 2883m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.5019  loss_TTT: 0.0639  acc: 0.5821  lr: 0.0002 
ep/it:25- 224 niter:  9800  50m 1s (- 2882m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4596  loss_TTT: 0.0641  acc: 0.5931  lr: 0.0002 
ep/it:25- 274 niter:  9850  50m 16s (- 2881m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.4963  loss_TTT: 0.0628  acc: 0.5827  lr: 0.0002 
ep/it:25- 324 niter:  9900  50m 30s (- 2880m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.4503  loss_TTT: 0.0619  acc: 0.5932  lr: 0.0002 
ep/it:25- 374 niter:  9950  50m 45s (- 2879m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.4975  loss_TTT: 0.0630  acc: 0.5825  lr: 0.0002 
Validation loss:1.673, accuracy:0.557
ep/it:26-  41 niter: 10000  51m 2s (- 2881m 3s) completed:  1%) loss_emb: 0.0000  loss: 1.5039  loss_TTT: 0.0666  acc: 0.5809  lr: 0.0002 
ep/it:26-  91 niter: 10050  51m 17s (- 2880m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.4902  loss_TTT: 0.0651  acc: 0.5851  lr: 0.0002 
ep/it:26- 141 niter: 10100  51m 32s (- 2879m 47s) completed:  1%) loss_emb: 0.0000  loss: 1.5032  loss_TTT: 0.0644  acc: 0.5814  lr: 0.0002 
ep/it:26- 191 niter: 10150  51m 46s (- 2878m 52s) completed:  1%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0633  acc: 0.5921  lr: 0.0002 
ep/it:26- 241 niter: 10200  52m 1s (- 2877m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4697  loss_TTT: 0.0635  acc: 0.5898  lr: 0.0002 
ep/it:26- 291 niter: 10250  52m 15s (- 2877m 1s) completed:  1%) loss_emb: 0.0000  loss: 1.4744  loss_TTT: 0.0661  acc: 0.5886  lr: 0.0002 
ep/it:26- 341 niter: 10300  52m 30s (- 2876m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.4671  loss_TTT: 0.0626  acc: 0.5898  lr: 0.0002 
Validation loss:1.689, accuracy:0.552
ep/it:27-   8 niter: 10350  52m 47s (- 2877m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4968  loss_TTT: 0.0632  acc: 0.5825  lr: 0.0002 
ep/it:27-  58 niter: 10400  53m 1s (- 2875m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.5099  loss_TTT: 0.0672  acc: 0.5777  lr: 0.0002 
ep/it:27- 108 niter: 10450  53m 15s (- 2875m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.4802  loss_TTT: 0.0656  acc: 0.5869  lr: 0.0002 
ep/it:27- 158 niter: 10500  53m 30s (- 2874m 13s) completed:  1%) loss_emb: 0.0000  loss: 1.4785  loss_TTT: 0.0625  acc: 0.5864  lr: 0.0002 
ep/it:27- 208 niter: 10550  53m 46s (- 2874m 9s) completed:  1%) loss_emb: 0.0000  loss: 1.4930  loss_TTT: 0.0617  acc: 0.5826  lr: 0.0002 
ep/it:27- 258 niter: 10600  54m 1s (- 2873m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.5020  loss_TTT: 0.0629  acc: 0.5817  lr: 0.0002 
ep/it:27- 308 niter: 10650  54m 15s (- 2872m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4884  loss_TTT: 0.0660  acc: 0.5840  lr: 0.0002 
ep/it:27- 358 niter: 10700  54m 29s (- 2871m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4682  loss_TTT: 0.0637  acc: 0.5890  lr: 0.0002 
Validation loss:1.690, accuracy:0.556
ep/it:28-  25 niter: 10750  54m 47s (- 2873m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4965  loss_TTT: 0.0617  acc: 0.5825  lr: 0.0002 
ep/it:28-  75 niter: 10800  55m 2s (- 2872m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4963  loss_TTT: 0.0638  acc: 0.5808  lr: 0.0002 
ep/it:28- 125 niter: 10850  55m 16s (- 2871m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4826  loss_TTT: 0.0623  acc: 0.5849  lr: 0.0002 
ep/it:28- 175 niter: 10900  55m 31s (- 2870m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4712  loss_TTT: 0.0667  acc: 0.5900  lr: 0.0002 
ep/it:28- 225 niter: 10950  55m 46s (- 2870m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4811  loss_TTT: 0.0647  acc: 0.5856  lr: 0.0002 
ep/it:28- 275 niter: 11000  56m 0s (- 2868m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4818  loss_TTT: 0.0627  acc: 0.5875  lr: 0.0002 
ep/it:28- 325 niter: 11050  56m 15s (- 2868m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0637  acc: 0.5912  lr: 0.0002 
ep/it:28- 375 niter: 11100  56m 30s (- 2867m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.5008  loss_TTT: 0.0618  acc: 0.5822  lr: 0.0002 
Validation loss:1.717, accuracy:0.546
ep/it:29-  42 niter: 11150  56m 47s (- 2869m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.4998  loss_TTT: 0.0655  acc: 0.5806  lr: 0.0002 
ep/it:29-  92 niter: 11200  57m 2s (- 2868m 44s) completed:  1%) loss_emb: 0.0000  loss: 1.4571  loss_TTT: 0.0615  acc: 0.5902  lr: 0.0002 
ep/it:29- 142 niter: 11250  57m 16s (- 2867m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4718  loss_TTT: 0.0626  acc: 0.5894  lr: 0.0002 
ep/it:29- 192 niter: 11300  57m 31s (- 2866m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4987  loss_TTT: 0.0636  acc: 0.5825  lr: 0.0002 
ep/it:29- 242 niter: 11350  57m 45s (- 2865m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4603  loss_TTT: 0.0623  acc: 0.5930  lr: 0.0002 
ep/it:29- 292 niter: 11400  57m 59s (- 2864m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.5074  loss_TTT: 0.0668  acc: 0.5798  lr: 0.0002 
ep/it:29- 342 niter: 11450  58m 13s (- 2863m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4823  loss_TTT: 0.0647  acc: 0.5847  lr: 0.0002 
Validation loss:1.684, accuracy:0.554
ep/it:30-   9 niter: 11500  58m 30s (- 2864m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.4754  loss_TTT: 0.0641  acc: 0.5886  lr: 0.0002 
ep/it:30-  59 niter: 11550  58m 44s (- 2863m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.5094  loss_TTT: 0.0636  acc: 0.5788  lr: 0.0002 
ep/it:30- 109 niter: 11600  58m 59s (- 2862m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.4805  loss_TTT: 0.0644  acc: 0.5857  lr: 0.0002 
ep/it:30- 159 niter: 11650  59m 13s (- 2861m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.4858  loss_TTT: 0.0638  acc: 0.5849  lr: 0.0002 
ep/it:30- 209 niter: 11700  59m 28s (- 2860m 56s) completed:  2%) loss_emb: 0.0000  loss: 1.4774  loss_TTT: 0.0629  acc: 0.5880  lr: 0.0002 
ep/it:30- 259 niter: 11750  59m 43s (- 2860m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4859  loss_TTT: 0.0663  acc: 0.5859  lr: 0.0002 
ep/it:30- 309 niter: 11800  59m 57s (- 2859m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.5105  loss_TTT: 0.0635  acc: 0.5780  lr: 0.0002 
ep/it:30- 359 niter: 11850  60m 12s (- 2858m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4893  loss_TTT: 0.0632  acc: 0.5817  lr: 0.0002 
Validation loss:1.716, accuracy:0.545
ep/it:31-  26 niter: 11900  60m 29s (- 2860m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.5192  loss_TTT: 0.0628  acc: 0.5757  lr: 0.0002 
ep/it:31-  76 niter: 11950  60m 44s (- 2859m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4684  loss_TTT: 0.0638  acc: 0.5902  lr: 0.0002 
ep/it:31- 126 niter: 12000  60m 58s (- 2858m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.5061  loss_TTT: 0.0647  acc: 0.5790  lr: 0.0002 
ep/it:31- 176 niter: 12050  61m 13s (- 2857m 59s) completed:  2%) loss_emb: 0.0000  loss: 1.4645  loss_TTT: 0.0603  acc: 0.5896  lr: 0.0002 
ep/it:31- 226 niter: 12100  61m 28s (- 2857m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4820  loss_TTT: 0.0645  acc: 0.5865  lr: 0.0002 
ep/it:31- 276 niter: 12150  61m 43s (- 2856m 36s) completed:  2%) loss_emb: 0.0000  loss: 1.5025  loss_TTT: 0.0641  acc: 0.5810  lr: 0.0002 
ep/it:31- 326 niter: 12200  61m 57s (- 2856m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4668  loss_TTT: 0.0627  acc: 0.5901  lr: 0.0002 
ep/it:31- 376 niter: 12250  62m 12s (- 2855m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4593  loss_TTT: 0.0613  acc: 0.5913  lr: 0.0002 
Validation loss:1.733, accuracy:0.543
ep/it:32-  43 niter: 12300  62m 29s (- 2856m 28s) completed:  2%) loss_emb: 0.0000  loss: 1.4443  loss_TTT: 0.0615  acc: 0.5944  lr: 0.0002 
ep/it:32-  93 niter: 12350  62m 44s (- 2855m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4630  loss_TTT: 0.0623  acc: 0.5901  lr: 0.0002 
ep/it:32- 143 niter: 12400  62m 58s (- 2854m 28s) completed:  2%) loss_emb: 0.0000  loss: 1.4952  loss_TTT: 0.0635  acc: 0.5823  lr: 0.0002 
ep/it:32- 193 niter: 12450  63m 12s (- 2853m 31s) completed:  2%) loss_emb: 0.0000  loss: 1.4708  loss_TTT: 0.0665  acc: 0.5889  lr: 0.0002 
ep/it:32- 243 niter: 12500  63m 27s (- 2852m 50s) completed:  2%) loss_emb: 0.0000  loss: 1.5252  loss_TTT: 0.0640  acc: 0.5746  lr: 0.0002 
ep/it:32- 293 niter: 12550  63m 42s (- 2852m 44s) completed:  2%) loss_emb: 0.0000  loss: 1.5045  loss_TTT: 0.0629  acc: 0.5805  lr: 0.0002 
ep/it:32- 343 niter: 12600  63m 57s (- 2851m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4780  loss_TTT: 0.0608  acc: 0.5857  lr: 0.0002 
Validation loss:1.669, accuracy:0.559
ep/it:33-  10 niter: 12650  64m 14s (- 2853m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4995  loss_TTT: 0.0647  acc: 0.5811  lr: 0.0002 
ep/it:33-  60 niter: 12700  64m 29s (- 2852m 53s) completed:  2%) loss_emb: 0.0000  loss: 1.4752  loss_TTT: 0.0649  acc: 0.5877  lr: 0.0002 
ep/it:33- 110 niter: 12750  64m 44s (- 2852m 8s) completed:  2%) loss_emb: 0.0000  loss: 1.4685  loss_TTT: 0.0607  acc: 0.5891  lr: 0.0002 
ep/it:33- 160 niter: 12800  64m 58s (- 2851m 31s) completed:  2%) loss_emb: 0.0000  loss: 1.4766  loss_TTT: 0.0604  acc: 0.5858  lr: 0.0002 
ep/it:33- 210 niter: 12850  65m 13s (- 2850m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4633  loss_TTT: 0.0615  acc: 0.5901  lr: 0.0002 
ep/it:33- 260 niter: 12900  65m 27s (- 2849m 31s) completed:  2%) loss_emb: 0.0000  loss: 1.4773  loss_TTT: 0.0639  acc: 0.5858  lr: 0.0002 
ep/it:33- 310 niter: 12950  65m 41s (- 2848m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0633  acc: 0.5927  lr: 0.0002 
ep/it:33- 360 niter: 13000  65m 56s (- 2847m 53s) completed:  2%) loss_emb: 0.0000  loss: 1.4962  loss_TTT: 0.0634  acc: 0.5830  lr: 0.0002 
Validation loss:1.693, accuracy:0.553
ep/it:34-  27 niter: 13050  66m 13s (- 2849m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4720  loss_TTT: 0.0627  acc: 0.5881  lr: 0.0002 
ep/it:34-  77 niter: 13100  66m 28s (- 2848m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.5027  loss_TTT: 0.0619  acc: 0.5798  lr: 0.0002 
ep/it:34- 127 niter: 13150  66m 43s (- 2848m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4839  loss_TTT: 0.0615  acc: 0.5847  lr: 0.0002 
ep/it:34- 177 niter: 13200  66m 57s (- 2847m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4844  loss_TTT: 0.0629  acc: 0.5843  lr: 0.0002 
ep/it:34- 227 niter: 13250  67m 12s (- 2846m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.4895  loss_TTT: 0.0632  acc: 0.5829  lr: 0.0002 
ep/it:34- 277 niter: 13300  67m 26s (- 2845m 58s) completed:  2%) loss_emb: 0.0000  loss: 1.4883  loss_TTT: 0.0626  acc: 0.5838  lr: 0.0002 
ep/it:34- 327 niter: 13350  67m 41s (- 2845m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.4878  loss_TTT: 0.0636  acc: 0.5829  lr: 0.0002 
ep/it:34- 377 niter: 13400  67m 55s (- 2844m 24s) completed:  2%) loss_emb: 0.0000  loss: 1.4926  loss_TTT: 0.0632  acc: 0.5825  lr: 0.0002 
Validation loss:1.677, accuracy:0.555
ep/it:35-  44 niter: 13450  68m 12s (- 2845m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4790  loss_TTT: 0.0631  acc: 0.5871  lr: 0.0002 
ep/it:35-  94 niter: 13500  68m 27s (- 2844m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4695  loss_TTT: 0.0640  acc: 0.5874  lr: 0.0002 
ep/it:35- 144 niter: 13550  68m 41s (- 2844m 0s) completed:  2%) loss_emb: 0.0000  loss: 1.4475  loss_TTT: 0.0614  acc: 0.5931  lr: 0.0002 
ep/it:35- 194 niter: 13600  68m 56s (- 2843m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.5055  loss_TTT: 0.0621  acc: 0.5793  lr: 0.0002 
ep/it:35- 244 niter: 13650  69m 10s (- 2842m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4537  loss_TTT: 0.0643  acc: 0.5918  lr: 0.0002 
ep/it:35- 294 niter: 13700  69m 24s (- 2841m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.4565  loss_TTT: 0.0638  acc: 0.5921  lr: 0.0002 
ep/it:35- 344 niter: 13750  69m 39s (- 2840m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4894  loss_TTT: 0.0622  acc: 0.5831  lr: 0.0002 
Validation loss:1.659, accuracy:0.560
ep/it:36-  11 niter: 13800  69m 56s (- 2842m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4853  loss_TTT: 0.0629  acc: 0.5854  lr: 0.0002 
ep/it:36-  61 niter: 13850  70m 11s (- 2841m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4599  loss_TTT: 0.0634  acc: 0.5904  lr: 0.0002 
ep/it:36- 111 niter: 13900  70m 26s (- 2840m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4626  loss_TTT: 0.0621  acc: 0.5886  lr: 0.0002 
ep/it:36- 161 niter: 13950  70m 40s (- 2840m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4758  loss_TTT: 0.0623  acc: 0.5864  lr: 0.0002 
ep/it:36- 211 niter: 14000  70m 54s (- 2839m 8s) completed:  2%) loss_emb: 0.0000  loss: 1.4730  loss_TTT: 0.0641  acc: 0.5882  lr: 0.0002 
ep/it:36- 261 niter: 14050  71m 9s (- 2838m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4728  loss_TTT: 0.0637  acc: 0.5884  lr: 0.0002 
ep/it:36- 311 niter: 14100  71m 24s (- 2837m 53s) completed:  2%) loss_emb: 0.0000  loss: 1.4770  loss_TTT: 0.0626  acc: 0.5857  lr: 0.0002 
ep/it:36- 361 niter: 14150  71m 38s (- 2837m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4831  loss_TTT: 0.0619  acc: 0.5841  lr: 0.0002 
Validation loss:1.684, accuracy:0.555
ep/it:37-  28 niter: 14200  71m 55s (- 2838m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4997  loss_TTT: 0.0614  acc: 0.5800  lr: 0.0002 
ep/it:37-  78 niter: 14250  72m 10s (- 2837m 47s) completed:  2%) loss_emb: 0.0000  loss: 1.4890  loss_TTT: 0.0613  acc: 0.5836  lr: 0.0002 
ep/it:37- 128 niter: 14300  72m 25s (- 2837m 10s) completed:  2%) loss_emb: 0.0000  loss: 1.4588  loss_TTT: 0.0638  acc: 0.5907  lr: 0.0002 
ep/it:37- 178 niter: 14350  72m 39s (- 2836m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4959  loss_TTT: 0.0620  acc: 0.5811  lr: 0.0002 
ep/it:37- 228 niter: 14400  72m 54s (- 2836m 1s) completed:  2%) loss_emb: 0.0000  loss: 1.4669  loss_TTT: 0.0607  acc: 0.5873  lr: 0.0002 
ep/it:37- 278 niter: 14450  73m 9s (- 2835m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4599  loss_TTT: 0.0604  acc: 0.5897  lr: 0.0002 
ep/it:37- 328 niter: 14500  73m 23s (- 2834m 24s) completed:  2%) loss_emb: 0.0000  loss: 1.4434  loss_TTT: 0.0602  acc: 0.5959  lr: 0.0002 
ep/it:37- 378 niter: 14550  73m 38s (- 2833m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4575  loss_TTT: 0.0611  acc: 0.5908  lr: 0.0002 
Validation loss:1.706, accuracy:0.548
ep/it:38-  45 niter: 14600  73m 55s (- 2834m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4690  loss_TTT: 0.0615  acc: 0.5884  lr: 0.0002 
ep/it:38-  95 niter: 14650  74m 9s (- 2834m 8s) completed:  2%) loss_emb: 0.0000  loss: 1.4666  loss_TTT: 0.0661  acc: 0.5905  lr: 0.0002 
ep/it:38- 145 niter: 14700  74m 24s (- 2833m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4948  loss_TTT: 0.0627  acc: 0.5822  lr: 0.0002 
ep/it:38- 195 niter: 14750  74m 39s (- 2833m 5s) completed:  2%) loss_emb: 0.0000  loss: 1.4617  loss_TTT: 0.0600  acc: 0.5895  lr: 0.0002 
ep/it:38- 245 niter: 14800  74m 53s (- 2832m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.5072  loss_TTT: 0.0631  acc: 0.5781  lr: 0.0002 
ep/it:38- 295 niter: 14850  75m 8s (- 2832m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.5069  loss_TTT: 0.0671  acc: 0.5797  lr: 0.0002 
ep/it:38- 345 niter: 14900  75m 23s (- 2831m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4819  loss_TTT: 0.0631  acc: 0.5855  lr: 0.0002 
Validation loss:1.704, accuracy:0.548
ep/it:39-  12 niter: 14950  75m 40s (- 2832m 38s) completed:  2%) loss_emb: 0.0000  loss: 1.4645  loss_TTT: 0.0609  acc: 0.5888  lr: 0.0002 
ep/it:39-  62 niter: 15000  75m 55s (- 2831m 51s) completed:  2%) loss_emb: 0.0000  loss: 1.4956  loss_TTT: 0.0632  acc: 0.5807  lr: 0.0002 
ep/it:39- 112 niter: 15050  76m 9s (- 2831m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0638  acc: 0.5933  lr: 0.0002 
ep/it:39- 162 niter: 15100  76m 23s (- 2830m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.4759  loss_TTT: 0.0633  acc: 0.5859  lr: 0.0002 
ep/it:39- 212 niter: 15150  76m 37s (- 2829m 20s) completed:  2%) loss_emb: 0.0000  loss: 1.4645  loss_TTT: 0.0632  acc: 0.5904  lr: 0.0002 
ep/it:39- 262 niter: 15200  76m 52s (- 2828m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4921  loss_TTT: 0.0627  acc: 0.5804  lr: 0.0002 
ep/it:39- 312 niter: 15250  77m 6s (- 2827m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0586  acc: 0.5928  lr: 0.0002 
ep/it:39- 362 niter: 15300  77m 20s (- 2826m 38s) completed:  2%) loss_emb: 0.0000  loss: 1.4817  loss_TTT: 0.0635  acc: 0.5854  lr: 0.0002 
Validation loss:1.694, accuracy:0.550
ep/it:40-  29 niter: 15350  77m 37s (- 2827m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4539  loss_TTT: 0.0616  acc: 0.5910  lr: 0.0002 
ep/it:40-  79 niter: 15400  77m 51s (- 2826m 55s) completed:  2%) loss_emb: 0.0000  loss: 1.4626  loss_TTT: 0.0651  acc: 0.5886  lr: 0.0002 
ep/it:40- 129 niter: 15450  78m 6s (- 2826m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.5130  loss_TTT: 0.0648  acc: 0.5756  lr: 0.0002 
ep/it:40- 179 niter: 15500  78m 21s (- 2825m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.4614  loss_TTT: 0.0567  acc: 0.5891  lr: 0.0002 
ep/it:40- 229 niter: 15550  78m 36s (- 2825m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4708  loss_TTT: 0.0623  acc: 0.5870  lr: 0.0002 
ep/it:40- 279 niter: 15600  78m 50s (- 2824m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.5028  loss_TTT: 0.0630  acc: 0.5797  lr: 0.0002 
ep/it:40- 329 niter: 15650  79m 5s (- 2824m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4787  loss_TTT: 0.0623  acc: 0.5858  lr: 0.0002 
ep/it:40- 379 niter: 15700  79m 20s (- 2823m 55s) completed:  2%) loss_emb: 0.0000  loss: 1.4831  loss_TTT: 0.0624  acc: 0.5840  lr: 0.0002 
Validation loss:1.648, accuracy:0.562
ep/it:41-  46 niter: 15750  79m 38s (- 2825m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4888  loss_TTT: 0.0609  acc: 0.5838  lr: 0.0002 
ep/it:41-  96 niter: 15800  79m 53s (- 2824m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4846  loss_TTT: 0.0611  acc: 0.5854  lr: 0.0002 
ep/it:41- 146 niter: 15850  80m 8s (- 2824m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4749  loss_TTT: 0.0608  acc: 0.5876  lr: 0.0002 
ep/it:41- 196 niter: 15900  80m 22s (- 2823m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4425  loss_TTT: 0.0601  acc: 0.5939  lr: 0.0002 
ep/it:41- 246 niter: 15950  80m 37s (- 2823m 20s) completed:  2%) loss_emb: 0.0000  loss: 1.5028  loss_TTT: 0.0604  acc: 0.5793  lr: 0.0002 
ep/it:41- 296 niter: 16000  80m 52s (- 2822m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4991  loss_TTT: 0.0613  acc: 0.5787  lr: 0.0002 
ep/it:41- 346 niter: 16050  81m 7s (- 2822m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4842  loss_TTT: 0.0623  acc: 0.5839  lr: 0.0002 
Validation loss:1.661, accuracy:0.556
ep/it:42-  13 niter: 16100  81m 24s (- 2823m 38s) completed:  2%) loss_emb: 0.0000  loss: 1.4904  loss_TTT: 0.0623  acc: 0.5818  lr: 0.0002 
ep/it:42-  63 niter: 16150  81m 39s (- 2823m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.4819  loss_TTT: 0.0602  acc: 0.5827  lr: 0.0002 
ep/it:42- 113 niter: 16200  81m 54s (- 2822m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.4748  loss_TTT: 0.0618  acc: 0.5866  lr: 0.0002 
ep/it:42- 163 niter: 16250  82m 9s (- 2822m 21s) completed:  2%) loss_emb: 0.0000  loss: 1.4853  loss_TTT: 0.0610  acc: 0.5823  lr: 0.0002 
ep/it:42- 213 niter: 16300  82m 24s (- 2821m 51s) completed:  2%) loss_emb: 0.0000  loss: 1.4842  loss_TTT: 0.0616  acc: 0.5836  lr: 0.0002 
ep/it:42- 263 niter: 16350  82m 38s (- 2821m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4651  loss_TTT: 0.0627  acc: 0.5882  lr: 0.0002 
ep/it:42- 313 niter: 16400  82m 52s (- 2820m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4517  loss_TTT: 0.0620  acc: 0.5926  lr: 0.0002 
ep/it:42- 363 niter: 16450  83m 7s (- 2819m 47s) completed:  2%) loss_emb: 0.0000  loss: 1.4813  loss_TTT: 0.0623  acc: 0.5845  lr: 0.0002 
Validation loss:1.674, accuracy:0.554
ep/it:43-  30 niter: 16500  83m 24s (- 2820m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4710  loss_TTT: 0.0636  acc: 0.5871  lr: 0.0002 
ep/it:43-  80 niter: 16550  83m 39s (- 2820m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4956  loss_TTT: 0.0631  acc: 0.5798  lr: 0.0002 
ep/it:43- 130 niter: 16600  83m 54s (- 2819m 46s) completed:  2%) loss_emb: 0.0000  loss: 1.4766  loss_TTT: 0.0626  acc: 0.5851  lr: 0.0002 
ep/it:43- 180 niter: 16650  84m 9s (- 2819m 31s) completed:  2%) loss_emb: 0.0000  loss: 1.4910  loss_TTT: 0.0613  acc: 0.5813  lr: 0.0002 
ep/it:43- 230 niter: 16700  84m 23s (- 2818m 53s) completed:  2%) loss_emb: 0.0000  loss: 1.4720  loss_TTT: 0.0644  acc: 0.5868  lr: 0.0002 
ep/it:43- 280 niter: 16750  84m 37s (- 2818m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4827  loss_TTT: 0.0626  acc: 0.5834  lr: 0.0002 
ep/it:43- 330 niter: 16800  84m 52s (- 2817m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.4958  loss_TTT: 0.0642  acc: 0.5803  lr: 0.0002 
ep/it:43- 380 niter: 16850  85m 6s (- 2816m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.4608  loss_TTT: 0.0588  acc: 0.5906  lr: 0.0002 
Validation loss:1.710, accuracy:0.546
ep/it:44-  47 niter: 16900  85m 23s (- 2817m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4686  loss_TTT: 0.0605  acc: 0.5873  lr: 0.0002 
ep/it:44-  97 niter: 16950  85m 37s (- 2816m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.4512  loss_TTT: 0.0604  acc: 0.5913  lr: 0.0002 
ep/it:44- 147 niter: 17000  85m 52s (- 2816m 0s) completed:  2%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0644  acc: 0.5936  lr: 0.0002 
ep/it:44- 197 niter: 17050  86m 6s (- 2815m 23s) completed:  2%) loss_emb: 0.0000  loss: 1.4582  loss_TTT: 0.0606  acc: 0.5899  lr: 0.0002 
ep/it:44- 247 niter: 17100  86m 20s (- 2814m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4644  loss_TTT: 0.0636  acc: 0.5897  lr: 0.0002 
ep/it:44- 297 niter: 17150  86m 35s (- 2814m 7s) completed:  2%) loss_emb: 0.0000  loss: 1.4531  loss_TTT: 0.0611  acc: 0.5914  lr: 0.0002 
ep/it:44- 347 niter: 17200  86m 50s (- 2813m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4803  loss_TTT: 0.0614  acc: 0.5845  lr: 0.0002 
Validation loss:1.655, accuracy:0.559
ep/it:45-  14 niter: 17250  87m 7s (- 2814m 40s) completed:  3%) loss_emb: 0.0000  loss: 1.4574  loss_TTT: 0.0616  acc: 0.5901  lr: 0.0002 
ep/it:45-  64 niter: 17300  87m 22s (- 2814m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4807  loss_TTT: 0.0602  acc: 0.5840  lr: 0.0002 
ep/it:45- 114 niter: 17350  87m 37s (- 2813m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4822  loss_TTT: 0.0640  acc: 0.5845  lr: 0.0002 
ep/it:45- 164 niter: 17400  87m 52s (- 2813m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4724  loss_TTT: 0.0612  acc: 0.5854  lr: 0.0002 
ep/it:45- 214 niter: 17450  88m 7s (- 2812m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4385  loss_TTT: 0.0599  acc: 0.5954  lr: 0.0002 
ep/it:45- 264 niter: 17500  88m 21s (- 2812m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.4798  loss_TTT: 0.0609  acc: 0.5847  lr: 0.0002 
ep/it:45- 314 niter: 17550  88m 36s (- 2812m 4s) completed:  3%) loss_emb: 0.0000  loss: 1.4709  loss_TTT: 0.0610  acc: 0.5867  lr: 0.0002 
ep/it:45- 364 niter: 17600  88m 50s (- 2811m 21s) completed:  3%) loss_emb: 0.0000  loss: 1.4718  loss_TTT: 0.0602  acc: 0.5868  lr: 0.0002 
Validation loss:1.698, accuracy:0.549
ep/it:46-  31 niter: 17650  89m 7s (- 2811m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4545  loss_TTT: 0.0624  acc: 0.5909  lr: 0.0002 
ep/it:46-  81 niter: 17700  89m 22s (- 2811m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.4838  loss_TTT: 0.0643  acc: 0.5850  lr: 0.0002 
ep/it:46- 131 niter: 17750  89m 36s (- 2810m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.4699  loss_TTT: 0.0597  acc: 0.5867  lr: 0.0002 
ep/it:46- 181 niter: 17800  89m 51s (- 2810m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.4939  loss_TTT: 0.0620  acc: 0.5812  lr: 0.0002 
ep/it:46- 231 niter: 17850  90m 6s (- 2809m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.4427  loss_TTT: 0.0617  acc: 0.5933  lr: 0.0002 
ep/it:46- 281 niter: 17900  90m 21s (- 2809m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.4775  loss_TTT: 0.0627  acc: 0.5846  lr: 0.0002 
ep/it:46- 331 niter: 17950  90m 35s (- 2808m 55s) completed:  3%) loss_emb: 0.0000  loss: 1.4735  loss_TTT: 0.0608  acc: 0.5857  lr: 0.0002 
ep/it:46- 381 niter: 18000  90m 50s (- 2808m 27s) completed:  3%) loss_emb: 0.0000  loss: 1.4799  loss_TTT: 0.0602  acc: 0.5842  lr: 0.0002 
Validation loss:1.704, accuracy:0.545
ep/it:47-  48 niter: 18050  91m 7s (- 2809m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.4648  loss_TTT: 0.0593  acc: 0.5871  lr: 0.0002 
ep/it:47-  98 niter: 18100  91m 21s (- 2808m 35s) completed:  3%) loss_emb: 0.0000  loss: 1.4835  loss_TTT: 0.0666  acc: 0.5847  lr: 0.0002 
ep/it:47- 148 niter: 18150  91m 35s (- 2807m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.4673  loss_TTT: 0.0659  acc: 0.5890  lr: 0.0002 
ep/it:47- 198 niter: 18200  91m 50s (- 2807m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.4664  loss_TTT: 0.0612  acc: 0.5869  lr: 0.0002 
ep/it:47- 248 niter: 18250  92m 5s (- 2807m 4s) completed:  3%) loss_emb: 0.0000  loss: 1.4712  loss_TTT: 0.0615  acc: 0.5858  lr: 0.0002 
ep/it:47- 298 niter: 18300  92m 20s (- 2806m 34s) completed:  3%) loss_emb: 0.0000  loss: 1.4637  loss_TTT: 0.0606  acc: 0.5896  lr: 0.0002 
ep/it:47- 348 niter: 18350  92m 35s (- 2806m 3s) completed:  3%) loss_emb: 0.0000  loss: 1.4805  loss_TTT: 0.0661  acc: 0.5853  lr: 0.0002 
Validation loss:1.701, accuracy:0.547
ep/it:48-  15 niter: 18400  92m 51s (- 2806m 40s) completed:  3%) loss_emb: 0.0000  loss: 1.4634  loss_TTT: 0.0615  acc: 0.5874  lr: 0.0002 
ep/it:48-  65 niter: 18450  93m 6s (- 2805m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4661  loss_TTT: 0.0608  acc: 0.5867  lr: 0.0002 
ep/it:48- 115 niter: 18500  93m 20s (- 2805m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4760  loss_TTT: 0.0610  acc: 0.5851  lr: 0.0002 
ep/it:48- 165 niter: 18550  93m 35s (- 2804m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.4620  loss_TTT: 0.0595  acc: 0.5896  lr: 0.0002 
ep/it:48- 215 niter: 18600  93m 49s (- 2804m 11s) completed:  3%) loss_emb: 0.0000  loss: 1.4784  loss_TTT: 0.0619  acc: 0.5852  lr: 0.0002 
ep/it:48- 265 niter: 18650  94m 3s (- 2803m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.4980  loss_TTT: 0.0621  acc: 0.5799  lr: 0.0002 
ep/it:48- 315 niter: 18700  94m 18s (- 2802m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.4392  loss_TTT: 0.0607  acc: 0.5954  lr: 0.0002 
ep/it:48- 365 niter: 18750  94m 33s (- 2802m 29s) completed:  3%) loss_emb: 0.0000  loss: 1.4678  loss_TTT: 0.0613  acc: 0.5877  lr: 0.0002 
Validation loss:1.662, accuracy:0.558
ep/it:49-  32 niter: 18800  94m 50s (- 2803m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.4792  loss_TTT: 0.0627  acc: 0.5854  lr: 0.0002 
ep/it:49-  82 niter: 18850  95m 5s (- 2802m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4876  loss_TTT: 0.0640  acc: 0.5843  lr: 0.0002 
ep/it:49- 132 niter: 18900  95m 19s (- 2802m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.4662  loss_TTT: 0.0586  acc: 0.5883  lr: 0.0002 
ep/it:49- 182 niter: 18950  95m 33s (- 2801m 39s) completed:  3%) loss_emb: 0.0000  loss: 1.4567  loss_TTT: 0.0572  acc: 0.5910  lr: 0.0002 
ep/it:49- 232 niter: 19000  95m 48s (- 2801m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.4690  loss_TTT: 0.0616  acc: 0.5869  lr: 0.0002 
ep/it:49- 282 niter: 19050  96m 3s (- 2800m 41s) completed:  3%) loss_emb: 0.0000  loss: 1.4935  loss_TTT: 0.0609  acc: 0.5797  lr: 0.0002 
ep/it:49- 332 niter: 19100  96m 17s (- 2799m 55s) completed:  3%) loss_emb: 0.0000  loss: 1.4887  loss_TTT: 0.0611  acc: 0.5823  lr: 0.0002 
ep/it:49- 382 niter: 19150  96m 31s (- 2799m 6s) completed:  3%) loss_emb: 0.0000  loss: 1.4604  loss_TTT: 0.0601  acc: 0.5887  lr: 0.0002 
Validation loss:1.653, accuracy:0.559
ep/it:50-  49 niter: 19200  96m 48s (- 2799m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.5047  loss_TTT: 0.0605  acc: 0.5778  lr: 0.0002 
ep/it:50-  99 niter: 19250  97m 2s (- 2799m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.4592  loss_TTT: 0.0606  acc: 0.5903  lr: 0.0002 
ep/it:50- 149 niter: 19300  97m 17s (- 2798m 33s) completed:  3%) loss_emb: 0.0000  loss: 1.4608  loss_TTT: 0.0603  acc: 0.5893  lr: 0.0002 
ep/it:50- 199 niter: 19350  97m 31s (- 2798m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.4930  loss_TTT: 0.0626  acc: 0.5818  lr: 0.0002 
ep/it:50- 249 niter: 19400  97m 45s (- 2797m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.4662  loss_TTT: 0.0637  acc: 0.5884  lr: 0.0002 
ep/it:50- 299 niter: 19450  97m 59s (- 2796m 36s) completed:  3%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0598  acc: 0.5910  lr: 0.0002 
ep/it:50- 349 niter: 19500  98m 14s (- 2796m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0602  acc: 0.5955  lr: 0.0002 
Validation loss:1.635, accuracy:0.563
ep/it:51-  16 niter: 19550  98m 31s (- 2796m 36s) completed:  3%) loss_emb: 0.0000  loss: 1.4889  loss_TTT: 0.0610  acc: 0.5806  lr: 0.0002 
ep/it:51-  66 niter: 19600  98m 46s (- 2796m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0602  acc: 0.5939  lr: 0.0002 
ep/it:51- 116 niter: 19650  99m 0s (- 2795m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4706  loss_TTT: 0.0608  acc: 0.5863  lr: 0.0002 
ep/it:51- 166 niter: 19700  99m 15s (- 2795m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.4895  loss_TTT: 0.0637  acc: 0.5815  lr: 0.0002 
ep/it:51- 216 niter: 19750  99m 29s (- 2794m 39s) completed:  3%) loss_emb: 0.0000  loss: 1.4709  loss_TTT: 0.0601  acc: 0.5867  lr: 0.0002 
ep/it:51- 266 niter: 19800  99m 43s (- 2793m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4780  loss_TTT: 0.0621  acc: 0.5836  lr: 0.0002 
ep/it:51- 316 niter: 19850  99m 58s (- 2793m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.4672  loss_TTT: 0.0587  acc: 0.5878  lr: 0.0002 
ep/it:51- 366 niter: 19900  100m 13s (- 2793m 3s) completed:  3%) loss_emb: 0.0000  loss: 1.4551  loss_TTT: 0.0617  acc: 0.5900  lr: 0.0002 
Validation loss:1.677, accuracy:0.552
ep/it:52-  33 niter: 19950  100m 30s (- 2793m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4688  loss_TTT: 0.0598  acc: 0.5858  lr: 0.0002 
ep/it:52-  83 niter: 20000  100m 44s (- 2793m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.5164  loss_TTT: 0.0607  acc: 0.5739  lr: 0.0002 
ep/it:52- 133 niter: 20050  100m 59s (- 2792m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4482  loss_TTT: 0.0598  acc: 0.5918  lr: 0.0002 
ep/it:52- 183 niter: 20100  101m 14s (- 2792m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.4834  loss_TTT: 0.0620  acc: 0.5831  lr: 0.0002 
ep/it:52- 233 niter: 20150  101m 28s (- 2791m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.4756  loss_TTT: 0.0604  acc: 0.5856  lr: 0.0002 
ep/it:52- 283 niter: 20200  101m 43s (- 2791m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.4623  loss_TTT: 0.0596  acc: 0.5873  lr: 0.0002 
ep/it:52- 333 niter: 20250  101m 58s (- 2791m 2s) completed:  3%) loss_emb: 0.0000  loss: 1.4736  loss_TTT: 0.0620  acc: 0.5855  lr: 0.0002 
Validation loss:1.657, accuracy:0.559
ep/it:53-   0 niter: 20300  102m 15s (- 2791m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.5008  loss_TTT: 0.0624  acc: 0.5808  lr: 0.0002 
ep/it:53-  50 niter: 20350  102m 30s (- 2791m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.4575  loss_TTT: 0.0593  acc: 0.5890  lr: 0.0002 
ep/it:53- 100 niter: 20400  102m 45s (- 2791m 2s) completed:  3%) loss_emb: 0.0000  loss: 1.4711  loss_TTT: 0.0618  acc: 0.5860  lr: 0.0002 
ep/it:53- 150 niter: 20450  103m 0s (- 2790m 39s) completed:  3%) loss_emb: 0.0000  loss: 1.4582  loss_TTT: 0.0595  acc: 0.5892  lr: 0.0002 
ep/it:53- 200 niter: 20500  103m 14s (- 2790m 1s) completed:  3%) loss_emb: 0.0000  loss: 1.4811  loss_TTT: 0.0619  acc: 0.5835  lr: 0.0002 
ep/it:53- 250 niter: 20550  103m 29s (- 2789m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.4642  loss_TTT: 0.0586  acc: 0.5879  lr: 0.0002 
ep/it:53- 300 niter: 20600  103m 44s (- 2789m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.4729  loss_TTT: 0.0627  acc: 0.5850  lr: 0.0002 
ep/it:53- 350 niter: 20650  103m 58s (- 2788m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4678  loss_TTT: 0.0611  acc: 0.5881  lr: 0.0002 
Validation loss:1.724, accuracy:0.543
ep/it:54-  17 niter: 20700  104m 15s (- 2789m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.4616  loss_TTT: 0.0620  acc: 0.5886  lr: 0.0002 
ep/it:54-  67 niter: 20750  104m 29s (- 2788m 35s) completed:  3%) loss_emb: 0.0000  loss: 1.4901  loss_TTT: 0.0633  acc: 0.5809  lr: 0.0002 
ep/it:54- 117 niter: 20800  104m 44s (- 2788m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.4896  loss_TTT: 0.0599  acc: 0.5819  lr: 0.0002 
ep/it:54- 167 niter: 20850  104m 58s (- 2787m 40s) completed:  3%) loss_emb: 0.0000  loss: 1.4854  loss_TTT: 0.0607  acc: 0.5804  lr: 0.0002 
ep/it:54- 217 niter: 20900  105m 13s (- 2787m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.4440  loss_TTT: 0.0606  acc: 0.5930  lr: 0.0002 
ep/it:54- 267 niter: 20950  105m 28s (- 2786m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4461  loss_TTT: 0.0605  acc: 0.5937  lr: 0.0002 
ep/it:54- 317 niter: 21000  105m 43s (- 2786m 29s) completed:  3%) loss_emb: 0.0000  loss: 1.4774  loss_TTT: 0.0619  acc: 0.5844  lr: 0.0002 
ep/it:54- 367 niter: 21050  105m 58s (- 2786m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.4675  loss_TTT: 0.0582  acc: 0.5874  lr: 0.0002 
Validation loss:1.719, accuracy:0.544
ep/it:55-  34 niter: 21100  106m 16s (- 2787m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.5124  loss_TTT: 0.0675  acc: 0.5779  lr: 0.0002 
ep/it:55-  84 niter: 21150  106m 30s (- 2786m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.4500  loss_TTT: 0.0611  acc: 0.5921  lr: 0.0002 
ep/it:55- 134 niter: 21200  106m 45s (- 2786m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.4653  loss_TTT: 0.0585  acc: 0.5871  lr: 0.0002 
ep/it:55- 184 niter: 21250  106m 59s (- 2785m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4745  loss_TTT: 0.0629  acc: 0.5852  lr: 0.0002 
ep/it:55- 234 niter: 21300  107m 14s (- 2785m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.4668  loss_TTT: 0.0606  acc: 0.5858  lr: 0.0002 
ep/it:55- 284 niter: 21350  107m 28s (- 2784m 35s) completed:  3%) loss_emb: 0.0000  loss: 1.4483  loss_TTT: 0.0591  acc: 0.5919  lr: 0.0002 
ep/it:55- 334 niter: 21400  107m 43s (- 2784m 5s) completed:  3%) loss_emb: 0.0000  loss: 1.4819  loss_TTT: 0.0616  acc: 0.5841  lr: 0.0002 
Validation loss:1.669, accuracy:0.555
ep/it:56-   1 niter: 21450  108m 0s (- 2784m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.4915  loss_TTT: 0.0620  acc: 0.5804  lr: 0.0002 
ep/it:56-  51 niter: 21500  108m 14s (- 2783m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4577  loss_TTT: 0.0624  acc: 0.5906  lr: 0.0002 
ep/it:56- 101 niter: 21550  108m 29s (- 2783m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.4700  loss_TTT: 0.0623  acc: 0.5865  lr: 0.0002 
ep/it:56- 151 niter: 21600  108m 44s (- 2783m 33s) completed:  3%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0583  acc: 0.5959  lr: 0.0002 
ep/it:56- 201 niter: 21650  108m 59s (- 2783m 11s) completed:  3%) loss_emb: 0.0000  loss: 1.4742  loss_TTT: 0.0606  acc: 0.5858  lr: 0.0002 
ep/it:56- 251 niter: 21700  109m 14s (- 2782m 44s) completed:  3%) loss_emb: 0.0000  loss: 1.4443  loss_TTT: 0.0629  acc: 0.5942  lr: 0.0002 
ep/it:56- 301 niter: 21750  109m 28s (- 2782m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.4923  loss_TTT: 0.0609  acc: 0.5815  lr: 0.0002 
ep/it:56- 351 niter: 21800  109m 43s (- 2781m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.4622  loss_TTT: 0.0580  acc: 0.5878  lr: 0.0002 
Validation loss:1.658, accuracy:0.558
ep/it:57-  18 niter: 21850  110m 1s (- 2782m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0612  acc: 0.5916  lr: 0.0002 
ep/it:57-  68 niter: 21900  110m 16s (- 2782m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4552  loss_TTT: 0.0618  acc: 0.5903  lr: 0.0002 
ep/it:57- 118 niter: 21950  110m 30s (- 2781m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.4462  loss_TTT: 0.0599  acc: 0.5927  lr: 0.0002 
ep/it:57- 168 niter: 22000  110m 45s (- 2781m 39s) completed:  3%) loss_emb: 0.0000  loss: 1.4437  loss_TTT: 0.0610  acc: 0.5937  lr: 0.0002 
ep/it:57- 218 niter: 22050  111m 0s (- 2781m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.4611  loss_TTT: 0.0618  acc: 0.5897  lr: 0.0002 
ep/it:57- 268 niter: 22100  111m 14s (- 2780m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.4738  loss_TTT: 0.0622  acc: 0.5856  lr: 0.0002 
ep/it:57- 318 niter: 22150  111m 29s (- 2780m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0590  acc: 0.5946  lr: 0.0002 
ep/it:57- 368 niter: 22200  111m 44s (- 2780m 2s) completed:  3%) loss_emb: 0.0000  loss: 1.4841  loss_TTT: 0.0608  acc: 0.5831  lr: 0.0002 
Validation loss:1.697, accuracy:0.549
ep/it:58-  35 niter: 22250  112m 2s (- 2780m 50s) completed:  3%) loss_emb: 0.0000  loss: 1.4724  loss_TTT: 0.0625  acc: 0.5867  lr: 0.0002 
ep/it:58-  85 niter: 22300  112m 17s (- 2780m 28s) completed:  3%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0594  acc: 0.5882  lr: 0.0002 
ep/it:58- 135 niter: 22350  112m 32s (- 2780m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.4569  loss_TTT: 0.0633  acc: 0.5876  lr: 0.0002 
ep/it:58- 185 niter: 22400  112m 46s (- 2779m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4636  loss_TTT: 0.0612  acc: 0.5890  lr: 0.0002 
ep/it:58- 235 niter: 22450  113m 1s (- 2779m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.4623  loss_TTT: 0.0593  acc: 0.5882  lr: 0.0002 
ep/it:58- 285 niter: 22500  113m 15s (- 2778m 45s) completed:  3%) loss_emb: 0.0000  loss: 1.4706  loss_TTT: 0.0605  acc: 0.5853  lr: 0.0002 
ep/it:58- 335 niter: 22550  113m 30s (- 2778m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4663  loss_TTT: 0.0614  acc: 0.5884  lr: 0.0002 
Validation loss:1.696, accuracy:0.549
ep/it:59-   2 niter: 22600  113m 47s (- 2778m 44s) completed:  3%) loss_emb: 0.0000  loss: 1.4923  loss_TTT: 0.0603  acc: 0.5801  lr: 0.0002 
ep/it:59-  52 niter: 22650  114m 2s (- 2778m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4639  loss_TTT: 0.0594  acc: 0.5868  lr: 0.0002 
ep/it:59- 102 niter: 22700  114m 16s (- 2777m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4620  loss_TTT: 0.0598  acc: 0.5871  lr: 0.0002 
ep/it:59- 152 niter: 22750  114m 31s (- 2777m 27s) completed:  3%) loss_emb: 0.0000  loss: 1.4896  loss_TTT: 0.0605  acc: 0.5822  lr: 0.0002 
ep/it:59- 202 niter: 22800  114m 45s (- 2776m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.4545  loss_TTT: 0.0584  acc: 0.5899  lr: 0.0002 
ep/it:59- 252 niter: 22850  115m 0s (- 2776m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4477  loss_TTT: 0.0616  acc: 0.5907  lr: 0.0002 
ep/it:59- 302 niter: 22900  115m 14s (- 2775m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4619  loss_TTT: 0.0586  acc: 0.5871  lr: 0.0002 
ep/it:59- 352 niter: 22950  115m 29s (- 2775m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.4398  loss_TTT: 0.0611  acc: 0.5938  lr: 0.0002 
Validation loss:1.720, accuracy:0.544
ep/it:60-  19 niter: 23000  115m 46s (- 2775m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0639  acc: 0.5892  lr: 0.0002 
ep/it:60-  69 niter: 23050  116m 0s (- 2775m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.4737  loss_TTT: 0.0614  acc: 0.5845  lr: 0.0002 
ep/it:60- 119 niter: 23100  116m 14s (- 2774m 52s) completed:  4%) loss_emb: 0.0000  loss: 1.4564  loss_TTT: 0.0599  acc: 0.5891  lr: 0.0002 
ep/it:60- 169 niter: 23150  116m 29s (- 2774m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4738  loss_TTT: 0.0608  acc: 0.5852  lr: 0.0002 
ep/it:60- 219 niter: 23200  116m 44s (- 2774m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.4858  loss_TTT: 0.0601  acc: 0.5801  lr: 0.0002 
ep/it:60- 269 niter: 23250  116m 59s (- 2773m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4562  loss_TTT: 0.0607  acc: 0.5901  lr: 0.0002 
ep/it:60- 319 niter: 23300  117m 13s (- 2773m 12s) completed:  4%) loss_emb: 0.0000  loss: 1.4368  loss_TTT: 0.0599  acc: 0.5945  lr: 0.0002 
ep/it:60- 369 niter: 23350  117m 28s (- 2772m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.4373  loss_TTT: 0.0614  acc: 0.5943  lr: 0.0002 
Validation loss:1.658, accuracy:0.557
ep/it:61-  36 niter: 23400  117m 46s (- 2773m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.4864  loss_TTT: 0.0615  acc: 0.5818  lr: 0.0002 
ep/it:61-  86 niter: 23450  118m 0s (- 2773m 13s) completed:  4%) loss_emb: 0.0000  loss: 1.4532  loss_TTT: 0.0578  acc: 0.5904  lr: 0.0002 
ep/it:61- 136 niter: 23500  118m 15s (- 2772m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.4600  loss_TTT: 0.0577  acc: 0.5893  lr: 0.0002 
ep/it:61- 186 niter: 23550  118m 31s (- 2772m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4773  loss_TTT: 0.0603  acc: 0.5840  lr: 0.0002 
ep/it:61- 236 niter: 23600  118m 46s (- 2772m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.4693  loss_TTT: 0.0613  acc: 0.5858  lr: 0.0002 
ep/it:61- 286 niter: 23650  119m 1s (- 2772m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.4672  loss_TTT: 0.0594  acc: 0.5855  lr: 0.0002 
ep/it:61- 336 niter: 23700  119m 15s (- 2771m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4387  loss_TTT: 0.0591  acc: 0.5931  lr: 0.0002 
Validation loss:1.638, accuracy:0.562
ep/it:62-   3 niter: 23750  119m 32s (- 2772m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4796  loss_TTT: 0.0615  acc: 0.5837  lr: 0.0002 
ep/it:62-  53 niter: 23800  119m 46s (- 2771m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4785  loss_TTT: 0.0588  acc: 0.5836  lr: 0.0002 
ep/it:62- 103 niter: 23850  120m 0s (- 2770m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.4528  loss_TTT: 0.0598  acc: 0.5899  lr: 0.0002 
ep/it:62- 153 niter: 23900  120m 15s (- 2770m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.4953  loss_TTT: 0.0613  acc: 0.5786  lr: 0.0002 
ep/it:62- 203 niter: 23950  120m 30s (- 2770m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4674  loss_TTT: 0.0600  acc: 0.5868  lr: 0.0002 
ep/it:62- 253 niter: 24000  120m 44s (- 2769m 31s) completed:  4%) loss_emb: 0.0000  loss: 1.4722  loss_TTT: 0.0593  acc: 0.5854  lr: 0.0002 
ep/it:62- 303 niter: 24050  120m 59s (- 2769m 18s) completed:  4%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0608  acc: 0.5895  lr: 0.0002 
ep/it:62- 353 niter: 24100  121m 14s (- 2768m 53s) completed:  4%) loss_emb: 0.0000  loss: 1.4509  loss_TTT: 0.0602  acc: 0.5899  lr: 0.0002 
Validation loss:1.676, accuracy:0.556
ep/it:63-  20 niter: 24150  121m 31s (- 2769m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.4639  loss_TTT: 0.0634  acc: 0.5871  lr: 0.0002 
ep/it:63-  70 niter: 24200  121m 45s (- 2768m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.4656  loss_TTT: 0.0592  acc: 0.5874  lr: 0.0002 
ep/it:63- 120 niter: 24250  121m 59s (- 2768m 14s) completed:  4%) loss_emb: 0.0000  loss: 1.4358  loss_TTT: 0.0585  acc: 0.5939  lr: 0.0002 
ep/it:63- 170 niter: 24300  122m 14s (- 2767m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4870  loss_TTT: 0.0597  acc: 0.5829  lr: 0.0002 
ep/it:63- 220 niter: 24350  122m 28s (- 2767m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.4872  loss_TTT: 0.0577  acc: 0.5809  lr: 0.0002 
ep/it:63- 270 niter: 24400  122m 42s (- 2766m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.4437  loss_TTT: 0.0584  acc: 0.5926  lr: 0.0002 
ep/it:63- 320 niter: 24450  122m 57s (- 2766m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.4774  loss_TTT: 0.0602  acc: 0.5843  lr: 0.0002 
ep/it:63- 370 niter: 24500  123m 11s (- 2765m 33s) completed:  4%) loss_emb: 0.0000  loss: 1.4687  loss_TTT: 0.0616  acc: 0.5853  lr: 0.0002 
Validation loss:1.655, accuracy:0.560
ep/it:64-  37 niter: 24550  123m 29s (- 2766m 18s) completed:  4%) loss_emb: 0.0000  loss: 1.4523  loss_TTT: 0.0610  acc: 0.5913  lr: 0.0002 
ep/it:64-  87 niter: 24600  123m 43s (- 2765m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0610  acc: 0.5930  lr: 0.0002 
ep/it:64- 137 niter: 24650  123m 58s (- 2765m 20s) completed:  4%) loss_emb: 0.0000  loss: 1.4427  loss_TTT: 0.0594  acc: 0.5947  lr: 0.0002 
ep/it:64- 187 niter: 24700  124m 12s (- 2764m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.4576  loss_TTT: 0.0606  acc: 0.5906  lr: 0.0002 
ep/it:64- 237 niter: 24750  124m 26s (- 2764m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.4741  loss_TTT: 0.0589  acc: 0.5847  lr: 0.0002 
ep/it:64- 287 niter: 24800  124m 41s (- 2763m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.4844  loss_TTT: 0.0619  acc: 0.5834  lr: 0.0002 
ep/it:64- 337 niter: 24850  124m 54s (- 2762m 59s) completed:  4%) loss_emb: 0.0000  loss: 1.4490  loss_TTT: 0.0609  acc: 0.5904  lr: 0.0002 
Validation loss:1.657, accuracy:0.557
ep/it:65-   4 niter: 24900  125m 12s (- 2763m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.4774  loss_TTT: 0.0616  acc: 0.5843  lr: 0.0002 
ep/it:65-  54 niter: 24950  125m 26s (- 2763m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.4636  loss_TTT: 0.0599  acc: 0.5874  lr: 0.0002 
ep/it:65- 104 niter: 25000  125m 41s (- 2762m 43s) completed:  4%) loss_emb: 0.0000  loss: 1.4407  loss_TTT: 0.0621  acc: 0.5943  lr: 0.0002 
ep/it:65- 154 niter: 25050  125m 56s (- 2762m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0557  acc: 0.5961  lr: 0.0002 
ep/it:65- 204 niter: 25100  126m 10s (- 2761m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.4552  loss_TTT: 0.0615  acc: 0.5909  lr: 0.0002 
ep/it:65- 254 niter: 25150  126m 25s (- 2761m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.4654  loss_TTT: 0.0601  acc: 0.5870  lr: 0.0002 
ep/it:65- 304 niter: 25200  126m 39s (- 2760m 59s) completed:  4%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0594  acc: 0.5886  lr: 0.0002 
ep/it:65- 354 niter: 25250  126m 54s (- 2760m 28s) completed:  4%) loss_emb: 0.0000  loss: 1.4451  loss_TTT: 0.0598  acc: 0.5916  lr: 0.0002 
Validation loss:1.633, accuracy:0.564
ep/it:66-  21 niter: 25300  127m 11s (- 2761m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.4652  loss_TTT: 0.0609  acc: 0.5873  lr: 0.0002 
ep/it:66-  71 niter: 25350  127m 26s (- 2760m 43s) completed:  4%) loss_emb: 0.0000  loss: 1.4520  loss_TTT: 0.0591  acc: 0.5909  lr: 0.0002 
ep/it:66- 121 niter: 25400  127m 40s (- 2760m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.4732  loss_TTT: 0.0599  acc: 0.5847  lr: 0.0002 
ep/it:66- 171 niter: 25450  127m 55s (- 2759m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.4513  loss_TTT: 0.0596  acc: 0.5897  lr: 0.0002 
ep/it:66- 221 niter: 25500  128m 9s (- 2759m 19s) completed:  4%) loss_emb: 0.0000  loss: 1.4846  loss_TTT: 0.0594  acc: 0.5820  lr: 0.0002 
ep/it:66- 271 niter: 25550  128m 24s (- 2759m 2s) completed:  4%) loss_emb: 0.0000  loss: 1.4596  loss_TTT: 0.0590  acc: 0.5869  lr: 0.0002 
ep/it:66- 321 niter: 25600  128m 39s (- 2758m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.4396  loss_TTT: 0.0563  acc: 0.5938  lr: 0.0002 
ep/it:66- 371 niter: 25650  128m 53s (- 2757m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.4338  loss_TTT: 0.0565  acc: 0.5936  lr: 0.0002 
Validation loss:1.646, accuracy:0.558
ep/it:67-  38 niter: 25700  129m 10s (- 2758m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4477  loss_TTT: 0.0615  acc: 0.5920  lr: 0.0002 
ep/it:67-  88 niter: 25750  129m 25s (- 2758m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.4631  loss_TTT: 0.0607  acc: 0.5874  lr: 0.0002 
ep/it:67- 138 niter: 25800  129m 39s (- 2757m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.4557  loss_TTT: 0.0626  acc: 0.5908  lr: 0.0002 
ep/it:67- 188 niter: 25850  129m 54s (- 2757m 18s) completed:  4%) loss_emb: 0.0000  loss: 1.4815  loss_TTT: 0.0610  acc: 0.5836  lr: 0.0002 
ep/it:67- 238 niter: 25900  130m 9s (- 2756m 49s) completed:  4%) loss_emb: 0.0000  loss: 1.4819  loss_TTT: 0.0597  acc: 0.5831  lr: 0.0002 
ep/it:67- 288 niter: 25950  130m 23s (- 2756m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.4671  loss_TTT: 0.0598  acc: 0.5868  lr: 0.0002 
ep/it:67- 338 niter: 26000  130m 38s (- 2755m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4492  loss_TTT: 0.0586  acc: 0.5895  lr: 0.0002 
Validation loss:1.691, accuracy:0.547
ep/it:68-   5 niter: 26050  130m 55s (- 2756m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4827  loss_TTT: 0.0595  acc: 0.5820  lr: 0.0002 
ep/it:68-  55 niter: 26100  131m 10s (- 2756m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4434  loss_TTT: 0.0571  acc: 0.5915  lr: 0.0002 
ep/it:68- 105 niter: 26150  131m 25s (- 2755m 44s) completed:  4%) loss_emb: 0.0000  loss: 1.4674  loss_TTT: 0.0589  acc: 0.5846  lr: 0.0002 
ep/it:68- 155 niter: 26200  131m 39s (- 2755m 25s) completed:  4%) loss_emb: 0.0000  loss: 1.4811  loss_TTT: 0.0618  acc: 0.5830  lr: 0.0002 
ep/it:68- 205 niter: 26250  131m 54s (- 2754m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4650  loss_TTT: 0.0602  acc: 0.5876  lr: 0.0002 
ep/it:68- 255 niter: 26300  132m 9s (- 2754m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4705  loss_TTT: 0.0621  acc: 0.5851  lr: 0.0002 
ep/it:68- 305 niter: 26350  132m 23s (- 2754m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.4315  loss_TTT: 0.0578  acc: 0.5957  lr: 0.0002 
ep/it:68- 355 niter: 26400  132m 37s (- 2753m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.4586  loss_TTT: 0.0588  acc: 0.5880  lr: 0.0002 
Validation loss:1.684, accuracy:0.551
ep/it:69-  22 niter: 26450  132m 54s (- 2754m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.4604  loss_TTT: 0.0577  acc: 0.5868  lr: 0.0002 
ep/it:69-  72 niter: 26500  133m 9s (- 2753m 30s) completed:  4%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0596  acc: 0.5915  lr: 0.0002 
ep/it:69- 122 niter: 26550  133m 23s (- 2752m 59s) completed:  4%) loss_emb: 0.0000  loss: 1.4525  loss_TTT: 0.0575  acc: 0.5892  lr: 0.0002 
ep/it:69- 172 niter: 26600  133m 37s (- 2752m 29s) completed:  4%) loss_emb: 0.0000  loss: 1.4704  loss_TTT: 0.0580  acc: 0.5847  lr: 0.0002 
ep/it:69- 222 niter: 26650  133m 52s (- 2752m 5s) completed:  4%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0608  acc: 0.5870  lr: 0.0002 
ep/it:69- 272 niter: 26700  134m 6s (- 2751m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.4696  loss_TTT: 0.0607  acc: 0.5853  lr: 0.0002 
ep/it:69- 322 niter: 26750  134m 21s (- 2751m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.4803  loss_TTT: 0.0638  acc: 0.5824  lr: 0.0002 
ep/it:69- 372 niter: 26800  134m 35s (- 2750m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.4472  loss_TTT: 0.0592  acc: 0.5904  lr: 0.0002 
Validation loss:1.676, accuracy:0.552
ep/it:70-  39 niter: 26850  134m 53s (- 2751m 19s) completed:  4%) loss_emb: 0.0000  loss: 1.4616  loss_TTT: 0.0611  acc: 0.5883  lr: 0.0002 
ep/it:70-  89 niter: 26900  135m 8s (- 2750m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4390  loss_TTT: 0.0563  acc: 0.5945  lr: 0.0002 
ep/it:70- 139 niter: 26950  135m 22s (- 2750m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4658  loss_TTT: 0.0598  acc: 0.5861  lr: 0.0002 
ep/it:70- 189 niter: 27000  135m 37s (- 2750m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0567  acc: 0.5971  lr: 0.0002 
ep/it:70- 239 niter: 27050  135m 53s (- 2750m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4770  loss_TTT: 0.0588  acc: 0.5836  lr: 0.0002 
ep/it:70- 289 niter: 27100  136m 7s (- 2749m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.4484  loss_TTT: 0.0590  acc: 0.5918  lr: 0.0002 
ep/it:70- 339 niter: 27150  136m 22s (- 2749m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.4392  loss_TTT: 0.0615  acc: 0.5935  lr: 0.0002 
Validation loss:1.667, accuracy:0.552
ep/it:71-   6 niter: 27200  136m 39s (- 2749m 47s) completed:  4%) loss_emb: 0.0000  loss: 1.4685  loss_TTT: 0.0576  acc: 0.5852  lr: 0.0002 
ep/it:71-  56 niter: 27250  136m 54s (- 2749m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4769  loss_TTT: 0.0575  acc: 0.5833  lr: 0.0002 
ep/it:71- 106 niter: 27300  137m 9s (- 2749m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.4706  loss_TTT: 0.0602  acc: 0.5858  lr: 0.0002 
ep/it:71- 156 niter: 27350  137m 23s (- 2748m 43s) completed:  4%) loss_emb: 0.0000  loss: 1.4312  loss_TTT: 0.0611  acc: 0.5963  lr: 0.0002 
ep/it:71- 206 niter: 27400  137m 38s (- 2748m 25s) completed:  4%) loss_emb: 0.0000  loss: 1.4550  loss_TTT: 0.0619  acc: 0.5889  lr: 0.0002 
ep/it:71- 256 niter: 27450  137m 53s (- 2748m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4358  loss_TTT: 0.0570  acc: 0.5933  lr: 0.0002 
ep/it:71- 306 niter: 27500  138m 8s (- 2747m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4717  loss_TTT: 0.0613  acc: 0.5860  lr: 0.0002 
ep/it:71- 356 niter: 27550  138m 23s (- 2747m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4538  loss_TTT: 0.0597  acc: 0.5903  lr: 0.0002 
Validation loss:1.666, accuracy:0.556
ep/it:72-  23 niter: 27600  138m 40s (- 2747m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.4779  loss_TTT: 0.0617  acc: 0.5841  lr: 0.0002 
ep/it:72-  73 niter: 27650  138m 54s (- 2747m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.4505  loss_TTT: 0.0614  acc: 0.5904  lr: 0.0002 
ep/it:72- 123 niter: 27700  139m 8s (- 2746m 48s) completed:  4%) loss_emb: 0.0000  loss: 1.4620  loss_TTT: 0.0609  acc: 0.5871  lr: 0.0002 
ep/it:72- 173 niter: 27750  139m 23s (- 2746m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0592  acc: 0.5895  lr: 0.0002 
ep/it:72- 223 niter: 27800  139m 37s (- 2745m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4477  loss_TTT: 0.0598  acc: 0.5909  lr: 0.0002 
ep/it:72- 273 niter: 27850  139m 51s (- 2745m 7s) completed:  4%) loss_emb: 0.0000  loss: 1.4478  loss_TTT: 0.0566  acc: 0.5901  lr: 0.0002 
ep/it:72- 323 niter: 27900  140m 5s (- 2744m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.5047  loss_TTT: 0.0618  acc: 0.5762  lr: 0.0002 
ep/it:72- 373 niter: 27950  140m 19s (- 2743m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4534  loss_TTT: 0.0613  acc: 0.5909  lr: 0.0002 
Validation loss:1.658, accuracy:0.556
ep/it:73-  40 niter: 28000  140m 36s (- 2744m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.4673  loss_TTT: 0.0583  acc: 0.5862  lr: 0.0002 
ep/it:73-  90 niter: 28050  140m 51s (- 2744m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.4490  loss_TTT: 0.0593  acc: 0.5890  lr: 0.0002 
ep/it:73- 140 niter: 28100  141m 5s (- 2743m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.4585  loss_TTT: 0.0588  acc: 0.5877  lr: 0.0002 
ep/it:73- 190 niter: 28150  141m 20s (- 2743m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0589  acc: 0.5913  lr: 0.0002 
ep/it:73- 240 niter: 28200  141m 35s (- 2742m 50s) completed:  4%) loss_emb: 0.0000  loss: 1.4800  loss_TTT: 0.0585  acc: 0.5812  lr: 0.0002 
ep/it:73- 290 niter: 28250  141m 49s (- 2742m 29s) completed:  4%) loss_emb: 0.0000  loss: 1.4784  loss_TTT: 0.0595  acc: 0.5826  lr: 0.0002 
ep/it:73- 340 niter: 28300  142m 4s (- 2742m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.4511  loss_TTT: 0.0609  acc: 0.5902  lr: 0.0002 
Validation loss:1.655, accuracy:0.556
ep/it:74-   7 niter: 28350  142m 22s (- 2742m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4614  loss_TTT: 0.0612  acc: 0.5867  lr: 0.0002 
ep/it:74-  57 niter: 28400  142m 37s (- 2742m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.4497  loss_TTT: 0.0579  acc: 0.5900  lr: 0.0002 
ep/it:74- 107 niter: 28450  142m 51s (- 2741m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.4675  loss_TTT: 0.0578  acc: 0.5857  lr: 0.0002 
ep/it:74- 157 niter: 28500  143m 5s (- 2741m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0576  acc: 0.5958  lr: 0.0002 
ep/it:74- 207 niter: 28550  143m 20s (- 2741m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0599  acc: 0.5935  lr: 0.0002 
ep/it:74- 257 niter: 28600  143m 34s (- 2740m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4651  loss_TTT: 0.0612  acc: 0.5852  lr: 0.0002 
ep/it:74- 307 niter: 28650  143m 49s (- 2740m 19s) completed:  4%) loss_emb: 0.0000  loss: 1.4708  loss_TTT: 0.0585  acc: 0.5852  lr: 0.0002 
ep/it:74- 357 niter: 28700  144m 4s (- 2740m 0s) completed:  4%) loss_emb: 0.0000  loss: 1.4667  loss_TTT: 0.0619  acc: 0.5871  lr: 0.0002 
Validation loss:1.666, accuracy:0.555
ep/it:75-  24 niter: 28750  144m 21s (- 2740m 23s) completed:  5%) loss_emb: 0.0000  loss: 1.4516  loss_TTT: 0.0627  acc: 0.5899  lr: 0.0002 
ep/it:75-  74 niter: 28800  144m 36s (- 2740m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.4853  loss_TTT: 0.0614  acc: 0.5812  lr: 0.0002 
ep/it:75- 124 niter: 28850  144m 51s (- 2739m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.4655  loss_TTT: 0.0595  acc: 0.5875  lr: 0.0002 
ep/it:75- 174 niter: 28900  145m 5s (- 2739m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.4678  loss_TTT: 0.0593  acc: 0.5864  lr: 0.0002 
ep/it:75- 224 niter: 28950  145m 19s (- 2738m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.4886  loss_TTT: 0.0592  acc: 0.5796  lr: 0.0002 
ep/it:75- 274 niter: 29000  145m 34s (- 2738m 13s) completed:  5%) loss_emb: 0.0000  loss: 1.4559  loss_TTT: 0.0576  acc: 0.5884  lr: 0.0002 
ep/it:75- 324 niter: 29050  145m 48s (- 2737m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.4664  loss_TTT: 0.0588  acc: 0.5874  lr: 0.0002 
ep/it:75- 374 niter: 29100  146m 3s (- 2737m 26s) completed:  5%) loss_emb: 0.0000  loss: 1.4592  loss_TTT: 0.0585  acc: 0.5888  lr: 0.0002 
Validation loss:1.674, accuracy:0.552
ep/it:76-  41 niter: 29150  146m 20s (- 2737m 50s) completed:  5%) loss_emb: 0.0000  loss: 1.4383  loss_TTT: 0.0575  acc: 0.5947  lr: 0.0002 
ep/it:76-  91 niter: 29200  146m 34s (- 2737m 23s) completed:  5%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0564  acc: 0.5970  lr: 0.0002 
ep/it:76- 141 niter: 29250  146m 48s (- 2736m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.4476  loss_TTT: 0.0610  acc: 0.5918  lr: 0.0002 
ep/it:76- 191 niter: 29300  147m 3s (- 2736m 15s) completed:  5%) loss_emb: 0.0000  loss: 1.4680  loss_TTT: 0.0590  acc: 0.5874  lr: 0.0002 
ep/it:76- 241 niter: 29350  147m 17s (- 2735m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.4683  loss_TTT: 0.0625  acc: 0.5866  lr: 0.0002 
ep/it:76- 291 niter: 29400  147m 31s (- 2735m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.4497  loss_TTT: 0.0582  acc: 0.5891  lr: 0.0002 
ep/it:76- 341 niter: 29450  147m 45s (- 2734m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0559  acc: 0.5921  lr: 0.0002 
Validation loss:1.678, accuracy:0.551
ep/it:77-   8 niter: 29500  148m 2s (- 2734m 54s) completed:  5%) loss_emb: 0.0000  loss: 1.4483  loss_TTT: 0.0593  acc: 0.5908  lr: 0.0002 
ep/it:77-  58 niter: 29550  148m 16s (- 2734m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.4690  loss_TTT: 0.0586  acc: 0.5859  lr: 0.0002 
ep/it:77- 108 niter: 29600  148m 30s (- 2733m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.4395  loss_TTT: 0.0639  acc: 0.5937  lr: 0.0002 
ep/it:77- 158 niter: 29650  148m 45s (- 2733m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.4664  loss_TTT: 0.0618  acc: 0.5873  lr: 0.0002 
ep/it:77- 208 niter: 29700  148m 59s (- 2732m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0581  acc: 0.5959  lr: 0.0002 
ep/it:77- 258 niter: 29750  149m 13s (- 2732m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.4494  loss_TTT: 0.0584  acc: 0.5879  lr: 0.0002 
ep/it:77- 308 niter: 29800  149m 27s (- 2731m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.4447  loss_TTT: 0.0575  acc: 0.5905  lr: 0.0002 
ep/it:77- 358 niter: 29850  149m 41s (- 2731m 19s) completed:  5%) loss_emb: 0.0000  loss: 1.4586  loss_TTT: 0.0606  acc: 0.5893  lr: 0.0002 
Validation loss:1.687, accuracy:0.550
ep/it:78-  25 niter: 29900  149m 58s (- 2731m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.4700  loss_TTT: 0.0598  acc: 0.5869  lr: 0.0002 
ep/it:78-  75 niter: 29950  150m 12s (- 2731m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.4548  loss_TTT: 0.0591  acc: 0.5888  lr: 0.0002 
ep/it:78- 125 niter: 30000  150m 27s (- 2730m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.4578  loss_TTT: 0.0592  acc: 0.5887  lr: 0.0002 
ep/it:78- 175 niter: 30050  150m 41s (- 2730m 19s) completed:  5%) loss_emb: 0.0000  loss: 1.4849  loss_TTT: 0.0596  acc: 0.5797  lr: 0.0002 
ep/it:78- 225 niter: 30100  150m 55s (- 2729m 48s) completed:  5%) loss_emb: 0.0000  loss: 1.4462  loss_TTT: 0.0589  acc: 0.5901  lr: 0.0002 
ep/it:78- 275 niter: 30150  151m 10s (- 2729m 18s) completed:  5%) loss_emb: 0.0000  loss: 1.4425  loss_TTT: 0.0578  acc: 0.5927  lr: 0.0002 
ep/it:78- 325 niter: 30200  151m 23s (- 2728m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0565  acc: 0.5923  lr: 0.0002 
ep/it:78- 375 niter: 30250  151m 38s (- 2728m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.4691  loss_TTT: 0.0584  acc: 0.5837  lr: 0.0002 
Validation loss:1.649, accuracy:0.558
ep/it:79-  42 niter: 30300  151m 54s (- 2728m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.4603  loss_TTT: 0.0582  acc: 0.5880  lr: 0.0002 
ep/it:79-  92 niter: 30350  152m 9s (- 2727m 56s) completed:  5%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0584  acc: 0.5997  lr: 0.0002 
ep/it:79- 142 niter: 30400  152m 23s (- 2727m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4527  loss_TTT: 0.0592  acc: 0.5896  lr: 0.0002 
ep/it:79- 192 niter: 30450  152m 38s (- 2727m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.4698  loss_TTT: 0.0577  acc: 0.5853  lr: 0.0002 
ep/it:79- 242 niter: 30500  152m 52s (- 2726m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4486  loss_TTT: 0.0578  acc: 0.5914  lr: 0.0002 
ep/it:79- 292 niter: 30550  153m 7s (- 2726m 24s) completed:  5%) loss_emb: 0.0000  loss: 1.4708  loss_TTT: 0.0563  acc: 0.5843  lr: 0.0002 
ep/it:79- 342 niter: 30600  153m 21s (- 2725m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.4429  loss_TTT: 0.0571  acc: 0.5905  lr: 0.0002 
Validation loss:1.667, accuracy:0.552
ep/it:80-   9 niter: 30650  153m 38s (- 2726m 14s) completed:  5%) loss_emb: 0.0000  loss: 1.4613  loss_TTT: 0.0612  acc: 0.5877  lr: 0.0002 
ep/it:80-  59 niter: 30700  153m 53s (- 2725m 59s) completed:  5%) loss_emb: 0.0000  loss: 1.4486  loss_TTT: 0.0566  acc: 0.5907  lr: 0.0002 
ep/it:80- 109 niter: 30750  154m 8s (- 2725m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.4346  loss_TTT: 0.0575  acc: 0.5932  lr: 0.0002 
ep/it:80- 159 niter: 30800  154m 22s (- 2725m 14s) completed:  5%) loss_emb: 0.0000  loss: 1.4456  loss_TTT: 0.0596  acc: 0.5924  lr: 0.0002 
ep/it:80- 209 niter: 30850  154m 37s (- 2724m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.4793  loss_TTT: 0.0623  acc: 0.5834  lr: 0.0002 
ep/it:80- 259 niter: 30900  154m 51s (- 2724m 18s) completed:  5%) loss_emb: 0.0000  loss: 1.4646  loss_TTT: 0.0578  acc: 0.5875  lr: 0.0002 
ep/it:80- 309 niter: 30950  155m 5s (- 2723m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.4574  loss_TTT: 0.0597  acc: 0.5883  lr: 0.0002 
ep/it:80- 359 niter: 31000  155m 20s (- 2723m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.4652  loss_TTT: 0.0598  acc: 0.5857  lr: 0.0002 
Validation loss:1.685, accuracy:0.549
ep/it:81-  26 niter: 31050  155m 38s (- 2724m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0587  acc: 0.5970  lr: 0.0002 
ep/it:81-  76 niter: 31100  155m 53s (- 2723m 44s) completed:  5%) loss_emb: 0.0000  loss: 1.4333  loss_TTT: 0.0586  acc: 0.5951  lr: 0.0002 
ep/it:81- 126 niter: 31150  156m 7s (- 2723m 23s) completed:  5%) loss_emb: 0.0000  loss: 1.4719  loss_TTT: 0.0577  acc: 0.5845  lr: 0.0002 
ep/it:81- 176 niter: 31200  156m 22s (- 2723m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0601  acc: 0.5950  lr: 0.0002 
ep/it:81- 226 niter: 31250  156m 36s (- 2722m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.4700  loss_TTT: 0.0594  acc: 0.5854  lr: 0.0002 
ep/it:81- 276 niter: 31300  156m 50s (- 2722m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.4419  loss_TTT: 0.0581  acc: 0.5929  lr: 0.0002 
ep/it:81- 326 niter: 31350  157m 4s (- 2721m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.4575  loss_TTT: 0.0568  acc: 0.5885  lr: 0.0002 
ep/it:81- 376 niter: 31400  157m 19s (- 2721m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0583  acc: 0.5871  lr: 0.0002 
Validation loss:1.641, accuracy:0.559
ep/it:82-  43 niter: 31450  157m 36s (- 2721m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.4447  loss_TTT: 0.0595  acc: 0.5908  lr: 0.0002 
ep/it:82-  93 niter: 31500  157m 51s (- 2721m 2s) completed:  5%) loss_emb: 0.0000  loss: 1.4376  loss_TTT: 0.0576  acc: 0.5927  lr: 0.0002 
ep/it:82- 143 niter: 31550  158m 5s (- 2720m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4482  loss_TTT: 0.0576  acc: 0.5900  lr: 0.0002 
ep/it:82- 193 niter: 31600  158m 20s (- 2720m 25s) completed:  5%) loss_emb: 0.0000  loss: 1.4479  loss_TTT: 0.0584  acc: 0.5901  lr: 0.0002 
ep/it:82- 243 niter: 31650  158m 35s (- 2720m 12s) completed:  5%) loss_emb: 0.0000  loss: 1.4348  loss_TTT: 0.0591  acc: 0.5946  lr: 0.0002 
ep/it:82- 293 niter: 31700  158m 50s (- 2719m 48s) completed:  5%) loss_emb: 0.0000  loss: 1.4826  loss_TTT: 0.0592  acc: 0.5818  lr: 0.0002 
ep/it:82- 343 niter: 31750  159m 4s (- 2719m 25s) completed:  5%) loss_emb: 0.0000  loss: 1.4695  loss_TTT: 0.0588  acc: 0.5851  lr: 0.0002 
Validation loss:1.679, accuracy:0.552
ep/it:83-  10 niter: 31800  159m 21s (- 2719m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0599  acc: 0.5924  lr: 0.0002 
ep/it:83-  60 niter: 31850  159m 35s (- 2719m 12s) completed:  5%) loss_emb: 0.0000  loss: 1.4551  loss_TTT: 0.0587  acc: 0.5893  lr: 0.0002 
ep/it:83- 110 niter: 31900  159m 49s (- 2718m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.4729  loss_TTT: 0.0605  acc: 0.5831  lr: 0.0002 
ep/it:83- 160 niter: 31950  160m 4s (- 2718m 12s) completed:  5%) loss_emb: 0.0000  loss: 1.4851  loss_TTT: 0.0589  acc: 0.5808  lr: 0.0002 
ep/it:83- 210 niter: 32000  160m 18s (- 2717m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0579  acc: 0.5948  lr: 0.0002 
ep/it:83- 260 niter: 32050  160m 32s (- 2717m 19s) completed:  5%) loss_emb: 0.0000  loss: 1.4721  loss_TTT: 0.0578  acc: 0.5832  lr: 0.0002 
ep/it:83- 310 niter: 32100  160m 46s (- 2716m 46s) completed:  5%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0594  acc: 0.5943  lr: 0.0002 
ep/it:83- 360 niter: 32150  161m 1s (- 2716m 19s) completed:  5%) loss_emb: 0.0000  loss: 1.4442  loss_TTT: 0.0598  acc: 0.5924  lr: 0.0002 
Validation loss:1.658, accuracy:0.559
ep/it:84-  27 niter: 32200  161m 18s (- 2716m 40s) completed:  5%) loss_emb: 0.0000  loss: 1.4780  loss_TTT: 0.0610  acc: 0.5850  lr: 0.0002 
ep/it:84-  77 niter: 32250  161m 33s (- 2716m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0581  acc: 0.5954  lr: 0.0002 
ep/it:84- 127 niter: 32300  161m 48s (- 2716m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.4287  loss_TTT: 0.0574  acc: 0.5954  lr: 0.0002 
ep/it:84- 177 niter: 32350  162m 2s (- 2715m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4749  loss_TTT: 0.0584  acc: 0.5838  lr: 0.0002 
ep/it:84- 227 niter: 32400  162m 16s (- 2715m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4318  loss_TTT: 0.0562  acc: 0.5939  lr: 0.0002 
ep/it:84- 277 niter: 32450  162m 31s (- 2714m 44s) completed:  5%) loss_emb: 0.0000  loss: 1.4600  loss_TTT: 0.0585  acc: 0.5873  lr: 0.0002 
ep/it:84- 327 niter: 32500  162m 46s (- 2714m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.4408  loss_TTT: 0.0586  acc: 0.5914  lr: 0.0002 
ep/it:84- 377 niter: 32550  163m 0s (- 2714m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.4536  loss_TTT: 0.0585  acc: 0.5893  lr: 0.0002 
Validation loss:1.671, accuracy:0.554
ep/it:85-  44 niter: 32600  163m 18s (- 2714m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.4635  loss_TTT: 0.0600  acc: 0.5878  lr: 0.0002 
ep/it:85-  94 niter: 32650  163m 32s (- 2714m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0570  acc: 0.5895  lr: 0.0002 
ep/it:85- 144 niter: 32700  163m 47s (- 2713m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0606  acc: 0.5911  lr: 0.0002 
ep/it:85- 194 niter: 32750  164m 1s (- 2713m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0577  acc: 0.5864  lr: 0.0002 
ep/it:85- 244 niter: 32800  164m 16s (- 2712m 56s) completed:  5%) loss_emb: 0.0000  loss: 1.4668  loss_TTT: 0.0585  acc: 0.5868  lr: 0.0002 
ep/it:85- 294 niter: 32850  164m 30s (- 2712m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.4558  loss_TTT: 0.0576  acc: 0.5885  lr: 0.0002 
ep/it:85- 344 niter: 32900  164m 45s (- 2712m 13s) completed:  5%) loss_emb: 0.0000  loss: 1.4531  loss_TTT: 0.0579  acc: 0.5876  lr: 0.0002 
Validation loss:1.629, accuracy:0.562
ep/it:86-  11 niter: 32950  165m 2s (- 2712m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0563  acc: 0.5934  lr: 0.0002 
ep/it:86-  61 niter: 33000  165m 17s (- 2712m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.4650  loss_TTT: 0.0598  acc: 0.5862  lr: 0.0002 
ep/it:86- 111 niter: 33050  165m 32s (- 2712m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0608  acc: 0.5976  lr: 0.0002 
ep/it:86- 161 niter: 33100  165m 47s (- 2711m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.4603  loss_TTT: 0.0582  acc: 0.5874  lr: 0.0002 
ep/it:86- 211 niter: 33150  166m 1s (- 2711m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.4326  loss_TTT: 0.0586  acc: 0.5948  lr: 0.0002 
ep/it:86- 261 niter: 33200  166m 16s (- 2710m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.4421  loss_TTT: 0.0589  acc: 0.5920  lr: 0.0002 
ep/it:86- 311 niter: 33250  166m 30s (- 2710m 31s) completed:  5%) loss_emb: 0.0000  loss: 1.4530  loss_TTT: 0.0577  acc: 0.5881  lr: 0.0002 
ep/it:86- 361 niter: 33300  166m 45s (- 2710m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.4513  loss_TTT: 0.0555  acc: 0.5889  lr: 0.0002 
Validation loss:1.684, accuracy:0.548
ep/it:87-  28 niter: 33350  167m 2s (- 2710m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0593  acc: 0.5920  lr: 0.0002 
ep/it:87-  78 niter: 33400  167m 17s (- 2710m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0578  acc: 0.5969  lr: 0.0002 
ep/it:87- 128 niter: 33450  167m 31s (- 2709m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.4599  loss_TTT: 0.0574  acc: 0.5882  lr: 0.0002 
ep/it:87- 178 niter: 33500  167m 45s (- 2709m 17s) completed:  5%) loss_emb: 0.0000  loss: 1.4498  loss_TTT: 0.0550  acc: 0.5897  lr: 0.0002 
ep/it:87- 228 niter: 33550  168m 0s (- 2709m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0606  acc: 0.5907  lr: 0.0002 
ep/it:87- 278 niter: 33600  168m 15s (- 2708m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.4480  loss_TTT: 0.0577  acc: 0.5907  lr: 0.0002 
ep/it:87- 328 niter: 33650  168m 30s (- 2708m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.4587  loss_TTT: 0.0573  acc: 0.5867  lr: 0.0002 
ep/it:87- 378 niter: 33700  168m 44s (- 2707m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0584  acc: 0.5955  lr: 0.0002 
Validation loss:1.706, accuracy:0.544
ep/it:88-  45 niter: 33750  169m 1s (- 2708m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.4626  loss_TTT: 0.0587  acc: 0.5859  lr: 0.0002 
ep/it:88-  95 niter: 33800  169m 15s (- 2707m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0584  acc: 0.5974  lr: 0.0002 
ep/it:88- 145 niter: 33850  169m 30s (- 2707m 15s) completed:  5%) loss_emb: 0.0000  loss: 1.4669  loss_TTT: 0.0588  acc: 0.5846  lr: 0.0002 
ep/it:88- 195 niter: 33900  169m 44s (- 2706m 50s) completed:  5%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0557  acc: 0.5929  lr: 0.0002 
ep/it:88- 245 niter: 33950  169m 59s (- 2706m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.4866  loss_TTT: 0.0591  acc: 0.5807  lr: 0.0002 
ep/it:88- 295 niter: 34000  170m 13s (- 2706m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.4441  loss_TTT: 0.0580  acc: 0.5929  lr: 0.0002 
ep/it:88- 345 niter: 34050  170m 28s (- 2705m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4633  loss_TTT: 0.0603  acc: 0.5862  lr: 0.0002 
Validation loss:1.689, accuracy:0.549
ep/it:89-  12 niter: 34100  170m 45s (- 2706m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0589  acc: 0.5905  lr: 0.0002 
ep/it:89-  62 niter: 34150  170m 59s (- 2705m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.4542  loss_TTT: 0.0590  acc: 0.5896  lr: 0.0002 
ep/it:89- 112 niter: 34200  171m 13s (- 2705m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0569  acc: 0.6016  lr: 0.0002 
ep/it:89- 162 niter: 34250  171m 28s (- 2704m 54s) completed:  5%) loss_emb: 0.0000  loss: 1.4377  loss_TTT: 0.0589  acc: 0.5936  lr: 0.0002 
ep/it:89- 212 niter: 34300  171m 43s (- 2704m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0550  acc: 0.5975  lr: 0.0002 
ep/it:89- 262 niter: 34350  171m 58s (- 2704m 17s) completed:  5%) loss_emb: 0.0000  loss: 1.4677  loss_TTT: 0.0565  acc: 0.5864  lr: 0.0002 
ep/it:89- 312 niter: 34400  172m 13s (- 2704m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.4718  loss_TTT: 0.0603  acc: 0.5849  lr: 0.0002 
ep/it:89- 362 niter: 34450  172m 28s (- 2703m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0571  acc: 0.5890  lr: 0.0002 
Validation loss:1.619, accuracy:0.564
ep/it:90-  29 niter: 34500  172m 45s (- 2704m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.4614  loss_TTT: 0.0558  acc: 0.5873  lr: 0.0002 
ep/it:90-  79 niter: 34550  173m 0s (- 2703m 46s) completed:  6%) loss_emb: 0.0000  loss: 1.4401  loss_TTT: 0.0584  acc: 0.5922  lr: 0.0002 
ep/it:90- 129 niter: 34600  173m 14s (- 2703m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.4489  loss_TTT: 0.0612  acc: 0.5908  lr: 0.0002 
ep/it:90- 179 niter: 34650  173m 29s (- 2702m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4944  loss_TTT: 0.0596  acc: 0.5797  lr: 0.0002 
ep/it:90- 229 niter: 34700  173m 44s (- 2702m 38s) completed:  6%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0583  acc: 0.5899  lr: 0.0002 
ep/it:90- 279 niter: 34750  173m 58s (- 2702m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.4427  loss_TTT: 0.0572  acc: 0.5911  lr: 0.0002 
ep/it:90- 329 niter: 34800  174m 13s (- 2701m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0571  acc: 0.5961  lr: 0.0002 
ep/it:90- 379 niter: 34850  174m 28s (- 2701m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.4385  loss_TTT: 0.0590  acc: 0.5919  lr: 0.0002 
Validation loss:1.617, accuracy:0.565
ep/it:91-  46 niter: 34900  174m 46s (- 2702m 7s) completed:  6%) loss_emb: 0.0000  loss: 1.4447  loss_TTT: 0.0582  acc: 0.5901  lr: 0.0002 
ep/it:91-  96 niter: 34950  175m 0s (- 2701m 44s) completed:  6%) loss_emb: 0.0000  loss: 1.4332  loss_TTT: 0.0610  acc: 0.5953  lr: 0.0002 
ep/it:91- 146 niter: 35000  175m 15s (- 2701m 25s) completed:  6%) loss_emb: 0.0000  loss: 1.4975  loss_TTT: 0.0594  acc: 0.5784  lr: 0.0002 
ep/it:91- 196 niter: 35050  175m 30s (- 2701m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0560  acc: 0.5943  lr: 0.0002 
ep/it:91- 246 niter: 35100  175m 44s (- 2700m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4485  loss_TTT: 0.0592  acc: 0.5894  lr: 0.0002 
ep/it:91- 296 niter: 35150  175m 59s (- 2700m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.4459  loss_TTT: 0.0556  acc: 0.5904  lr: 0.0002 
ep/it:91- 346 niter: 35200  176m 13s (- 2700m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.4362  loss_TTT: 0.0585  acc: 0.5931  lr: 0.0002 
Validation loss:1.591, accuracy:0.574
Improved accuracy from 0.57 to 0.57 !!!
ep/it:92-  13 niter: 35250  176m 31s (- 2700m 30s) completed:  6%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0560  acc: 0.5908  lr: 0.0002 
ep/it:92-  63 niter: 35300  176m 45s (- 2700m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0598  acc: 0.5950  lr: 0.0002 
ep/it:92- 113 niter: 35350  177m 0s (- 2699m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.4491  loss_TTT: 0.0582  acc: 0.5892  lr: 0.0002 
ep/it:92- 163 niter: 35400  177m 15s (- 2699m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.4482  loss_TTT: 0.0559  acc: 0.5904  lr: 0.0002 
ep/it:92- 213 niter: 35450  177m 29s (- 2698m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4612  loss_TTT: 0.0611  acc: 0.5864  lr: 0.0002 
ep/it:92- 263 niter: 35500  177m 44s (- 2698m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4520  loss_TTT: 0.0598  acc: 0.5894  lr: 0.0002 
ep/it:92- 313 niter: 35550  177m 59s (- 2698m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.4543  loss_TTT: 0.0575  acc: 0.5874  lr: 0.0002 
ep/it:92- 363 niter: 35600  178m 13s (- 2697m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0557  acc: 0.5920  lr: 0.0002 
Validation loss:1.630, accuracy:0.563
ep/it:93-  30 niter: 35650  178m 31s (- 2698m 16s) completed:  6%) loss_emb: 0.0000  loss: 1.4732  loss_TTT: 0.0586  acc: 0.5832  lr: 0.0002 
ep/it:93-  80 niter: 35700  178m 45s (- 2697m 57s) completed:  6%) loss_emb: 0.0000  loss: 1.4639  loss_TTT: 0.0578  acc: 0.5854  lr: 0.0002 
ep/it:93- 130 niter: 35750  179m 0s (- 2697m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.4281  loss_TTT: 0.0549  acc: 0.5944  lr: 0.0002 
ep/it:93- 180 niter: 35800  179m 14s (- 2697m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0583  acc: 0.5900  lr: 0.0002 
ep/it:93- 230 niter: 35850  179m 29s (- 2696m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4332  loss_TTT: 0.0561  acc: 0.5935  lr: 0.0002 
ep/it:93- 280 niter: 35900  179m 43s (- 2696m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.4632  loss_TTT: 0.0585  acc: 0.5872  lr: 0.0002 
ep/it:93- 330 niter: 35950  179m 57s (- 2695m 59s) completed:  6%) loss_emb: 0.0000  loss: 1.4637  loss_TTT: 0.0572  acc: 0.5865  lr: 0.0002 
ep/it:93- 380 niter: 36000  180m 12s (- 2695m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.4600  loss_TTT: 0.0594  acc: 0.5864  lr: 0.0002 
Validation loss:1.662, accuracy:0.555
ep/it:94-  47 niter: 36050  180m 29s (- 2695m 54s) completed:  6%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0561  acc: 0.5944  lr: 0.0002 
ep/it:94-  97 niter: 36100  180m 44s (- 2695m 29s) completed:  6%) loss_emb: 0.0000  loss: 1.4391  loss_TTT: 0.0577  acc: 0.5925  lr: 0.0002 
ep/it:94- 147 niter: 36150  180m 58s (- 2695m 3s) completed:  6%) loss_emb: 0.0000  loss: 1.4587  loss_TTT: 0.0570  acc: 0.5875  lr: 0.0002 
ep/it:94- 197 niter: 36200  181m 12s (- 2694m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.4554  loss_TTT: 0.0588  acc: 0.5880  lr: 0.0002 
ep/it:94- 247 niter: 36250  181m 27s (- 2694m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.4475  loss_TTT: 0.0594  acc: 0.5901  lr: 0.0002 
ep/it:94- 297 niter: 36300  181m 41s (- 2693m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4497  loss_TTT: 0.0605  acc: 0.5886  lr: 0.0002 
ep/it:94- 347 niter: 36350  181m 56s (- 2693m 32s) completed:  6%) loss_emb: 0.0000  loss: 1.4334  loss_TTT: 0.0609  acc: 0.5942  lr: 0.0002 
Validation loss:1.656, accuracy:0.554
ep/it:95-  14 niter: 36400  182m 14s (- 2693m 57s) completed:  6%) loss_emb: 0.0000  loss: 1.4643  loss_TTT: 0.0561  acc: 0.5858  lr: 0.0002 
ep/it:95-  64 niter: 36450  182m 28s (- 2693m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.4488  loss_TTT: 0.0613  acc: 0.5894  lr: 0.0002 
ep/it:95- 114 niter: 36500  182m 43s (- 2693m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.4456  loss_TTT: 0.0601  acc: 0.5909  lr: 0.0002 
ep/it:95- 164 niter: 36550  182m 58s (- 2693m 3s) completed:  6%) loss_emb: 0.0000  loss: 1.4588  loss_TTT: 0.0588  acc: 0.5866  lr: 0.0002 
ep/it:95- 214 niter: 36600  183m 13s (- 2692m 44s) completed:  6%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0579  acc: 0.5929  lr: 0.0002 
ep/it:95- 264 niter: 36650  183m 27s (- 2692m 24s) completed:  6%) loss_emb: 0.0000  loss: 1.4556  loss_TTT: 0.0585  acc: 0.5886  lr: 0.0002 
ep/it:95- 314 niter: 36700  183m 42s (- 2692m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.4650  loss_TTT: 0.0597  acc: 0.5848  lr: 0.0002 
ep/it:95- 364 niter: 36750  183m 57s (- 2691m 42s) completed:  6%) loss_emb: 0.0000  loss: 1.4528  loss_TTT: 0.0584  acc: 0.5898  lr: 0.0002 
Validation loss:1.695, accuracy:0.546
ep/it:96-  31 niter: 36800  184m 14s (- 2692m 7s) completed:  6%) loss_emb: 0.0000  loss: 1.4557  loss_TTT: 0.0587  acc: 0.5874  lr: 0.0002 
ep/it:96-  81 niter: 36850  184m 29s (- 2691m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.4582  loss_TTT: 0.0580  acc: 0.5866  lr: 0.0002 
ep/it:96- 131 niter: 36900  184m 43s (- 2691m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.4548  loss_TTT: 0.0567  acc: 0.5881  lr: 0.0002 
ep/it:96- 181 niter: 36950  184m 58s (- 2691m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0552  acc: 0.5978  lr: 0.0002 
ep/it:96- 231 niter: 37000  185m 12s (- 2690m 37s) completed:  6%) loss_emb: 0.0000  loss: 1.4682  loss_TTT: 0.0593  acc: 0.5843  lr: 0.0002 
ep/it:96- 281 niter: 37050  185m 28s (- 2690m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.4517  loss_TTT: 0.0587  acc: 0.5886  lr: 0.0002 
ep/it:96- 331 niter: 37100  185m 43s (- 2690m 9s) completed:  6%) loss_emb: 0.0000  loss: 1.4462  loss_TTT: 0.0595  acc: 0.5913  lr: 0.0002 
ep/it:96- 381 niter: 37150  185m 57s (- 2689m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4498  loss_TTT: 0.0550  acc: 0.5897  lr: 0.0002 
Validation loss:1.639, accuracy:0.560
ep/it:97-  48 niter: 37200  186m 14s (- 2690m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0591  acc: 0.5959  lr: 0.0002 
ep/it:97-  98 niter: 37250  186m 29s (- 2689m 38s) completed:  6%) loss_emb: 0.0000  loss: 1.4822  loss_TTT: 0.0575  acc: 0.5813  lr: 0.0002 
ep/it:97- 148 niter: 37300  186m 43s (- 2689m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.4658  loss_TTT: 0.0572  acc: 0.5850  lr: 0.0002 
ep/it:97- 198 niter: 37350  186m 58s (- 2688m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4310  loss_TTT: 0.0585  acc: 0.5946  lr: 0.0002 
ep/it:97- 248 niter: 37400  187m 12s (- 2688m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4703  loss_TTT: 0.0571  acc: 0.5832  lr: 0.0002 
ep/it:97- 298 niter: 37450  187m 27s (- 2688m 9s) completed:  6%) loss_emb: 0.0000  loss: 1.4744  loss_TTT: 0.0580  acc: 0.5831  lr: 0.0002 
ep/it:97- 348 niter: 37500  187m 41s (- 2687m 50s) completed:  6%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0565  acc: 0.5947  lr: 0.0002 
Validation loss:1.633, accuracy:0.560
ep/it:98-  15 niter: 37550  187m 59s (- 2688m 11s) completed:  6%) loss_emb: 0.0000  loss: 1.4711  loss_TTT: 0.0592  acc: 0.5848  lr: 0.0002 
ep/it:98-  65 niter: 37600  188m 14s (- 2687m 50s) completed:  6%) loss_emb: 0.0000  loss: 1.4712  loss_TTT: 0.0604  acc: 0.5839  lr: 0.0002 
ep/it:98- 115 niter: 37650  188m 28s (- 2687m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.4706  loss_TTT: 0.0594  acc: 0.5840  lr: 0.0002 
ep/it:98- 165 niter: 37700  188m 43s (- 2687m 12s) completed:  6%) loss_emb: 0.0000  loss: 1.4525  loss_TTT: 0.0552  acc: 0.5875  lr: 0.0002 
ep/it:98- 215 niter: 37750  188m 58s (- 2686m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.4593  loss_TTT: 0.0583  acc: 0.5879  lr: 0.0002 
ep/it:98- 265 niter: 37800  189m 12s (- 2686m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.4431  loss_TTT: 0.0591  acc: 0.5910  lr: 0.0002 
ep/it:98- 315 niter: 37850  189m 27s (- 2686m 12s) completed:  6%) loss_emb: 0.0000  loss: 1.4630  loss_TTT: 0.0594  acc: 0.5856  lr: 0.0002 
ep/it:98- 365 niter: 37900  189m 41s (- 2685m 47s) completed:  6%) loss_emb: 0.0000  loss: 1.4556  loss_TTT: 0.0586  acc: 0.5879  lr: 0.0002 
Validation loss:1.652, accuracy:0.556
ep/it:99-  32 niter: 37950  189m 58s (- 2686m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.4876  loss_TTT: 0.0597  acc: 0.5790  lr: 0.0002 
ep/it:99-  82 niter: 38000  190m 13s (- 2685m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4563  loss_TTT: 0.0582  acc: 0.5868  lr: 0.0002 
ep/it:99- 132 niter: 38050  190m 27s (- 2685m 13s) completed:  6%) loss_emb: 0.0000  loss: 1.4332  loss_TTT: 0.0548  acc: 0.5935  lr: 0.0002 
ep/it:99- 182 niter: 38100  190m 41s (- 2684m 44s) completed:  6%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0589  acc: 0.5943  lr: 0.0002 
ep/it:99- 232 niter: 38150  190m 55s (- 2684m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.4361  loss_TTT: 0.0575  acc: 0.5918  lr: 0.0002 
ep/it:99- 282 niter: 38200  191m 10s (- 2683m 52s) completed:  6%) loss_emb: 0.0000  loss: 1.4612  loss_TTT: 0.0575  acc: 0.5866  lr: 0.0002 
ep/it:99- 332 niter: 38250  191m 24s (- 2683m 25s) completed:  6%) loss_emb: 0.0000  loss: 1.4558  loss_TTT: 0.0572  acc: 0.5861  lr: 0.0002 
ep/it:99- 382 niter: 38300  191m 38s (- 2682m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.4715  loss_TTT: 0.0583  acc: 0.5840  lr: 0.0002 
Validation loss:1.636, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.69it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.59004689287394 avg: 38.59004689287394
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.4441737504676 avg: 38.51711032167077
--> 	 Eva. Repeat 0 :, FID. 0.1299, Diversity Real. 9.6619, Diversity. 9.3967, R_precision_real. [0.54199219 0.70703125 0.80371094], R_precision. [0.54394531 0.71582031 0.81152344], matching_score_real. 2.9025, matching_score_pred. 2.9140, skate_ratio. 0.0521, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.1113 (traj_fail_50cm (Traj err)): 0.0186 (kps_fail_20cm): 0.0249 (kps_fail_50cm (Loc. err)): 0.0025 (kps_mean_err(m) (Avg. err)): 0.0369 
ep/it:100-  49 niter: 38350  193m 14s (- 2701m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0565  acc: 0.5934  lr: 0.0002 
ep/it:100-  99 niter: 38400  193m 29s (- 2701m 12s) completed:  6%) loss_emb: 0.0000  loss: 1.4537  loss_TTT: 0.0584  acc: 0.5876  lr: 0.0002 
ep/it:100- 149 niter: 38450  193m 43s (- 2700m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.4542  loss_TTT: 0.0575  acc: 0.5888  lr: 0.0002 
ep/it:100- 199 niter: 38500  193m 57s (- 2700m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.4646  loss_TTT: 0.0577  acc: 0.5837  lr: 0.0002 
ep/it:100- 249 niter: 38550  194m 12s (- 2699m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4647  loss_TTT: 0.0562  acc: 0.5845  lr: 0.0002 
ep/it:100- 299 niter: 38600  194m 26s (- 2699m 31s) completed:  6%) loss_emb: 0.0000  loss: 1.4430  loss_TTT: 0.0580  acc: 0.5910  lr: 0.0002 
ep/it:100- 349 niter: 38650  194m 41s (- 2699m 12s) completed:  6%) loss_emb: 0.0000  loss: 1.4523  loss_TTT: 0.0583  acc: 0.5884  lr: 0.0002 
Validation loss:1.649, accuracy:0.556
ep/it:101-  16 niter: 38700  194m 58s (- 2699m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.4430  loss_TTT: 0.0562  acc: 0.5897  lr: 0.0002 
ep/it:101-  66 niter: 38750  195m 12s (- 2698m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0565  acc: 0.5979  lr: 0.0002 
ep/it:101- 116 niter: 38800  195m 26s (- 2698m 26s) completed:  6%) loss_emb: 0.0000  loss: 1.4450  loss_TTT: 0.0571  acc: 0.5902  lr: 0.0002 
ep/it:101- 166 niter: 38850  195m 40s (- 2697m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4777  loss_TTT: 0.0559  acc: 0.5819  lr: 0.0002 
ep/it:101- 216 niter: 38900  195m 54s (- 2697m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0550  acc: 0.6004  lr: 0.0002 
ep/it:101- 266 niter: 38950  196m 9s (- 2697m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.4465  loss_TTT: 0.0580  acc: 0.5908  lr: 0.0002 
ep/it:101- 316 niter: 39000  196m 23s (- 2696m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0556  acc: 0.5949  lr: 0.0002 
ep/it:101- 366 niter: 39050  196m 37s (- 2696m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.4647  loss_TTT: 0.0594  acc: 0.5851  lr: 0.0002 
Validation loss:1.632, accuracy:0.563
ep/it:102-  33 niter: 39100  196m 54s (- 2696m 16s) completed:  6%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0575  acc: 0.5957  lr: 0.0002 
ep/it:102-  83 niter: 39150  197m 8s (- 2695m 50s) completed:  6%) loss_emb: 0.0000  loss: 1.4856  loss_TTT: 0.0621  acc: 0.5800  lr: 0.0002 
ep/it:102- 133 niter: 39200  197m 23s (- 2695m 24s) completed:  6%) loss_emb: 0.0000  loss: 1.4388  loss_TTT: 0.0576  acc: 0.5936  lr: 0.0002 
ep/it:102- 183 niter: 39250  197m 37s (- 2694m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4598  loss_TTT: 0.0576  acc: 0.5848  lr: 0.0002 
ep/it:102- 233 niter: 39300  197m 52s (- 2694m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.4604  loss_TTT: 0.0585  acc: 0.5875  lr: 0.0002 
ep/it:102- 283 niter: 39350  198m 6s (- 2694m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.4653  loss_TTT: 0.0576  acc: 0.5849  lr: 0.0002 
ep/it:102- 333 niter: 39400  198m 20s (- 2693m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.4751  loss_TTT: 0.0595  acc: 0.5829  lr: 0.0002 
Validation loss:1.616, accuracy:0.563
ep/it:103-   0 niter: 39450  198m 37s (- 2693m 59s) completed:  6%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0598  acc: 0.5945  lr: 0.0002 
ep/it:103-  50 niter: 39500  198m 52s (- 2693m 32s) completed:  6%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0574  acc: 0.5993  lr: 0.0002 
ep/it:103- 100 niter: 39550  199m 6s (- 2693m 13s) completed:  6%) loss_emb: 0.0000  loss: 1.4336  loss_TTT: 0.0571  acc: 0.5925  lr: 0.0002 
ep/it:103- 150 niter: 39600  199m 21s (- 2692m 50s) completed:  6%) loss_emb: 0.0000  loss: 1.4704  loss_TTT: 0.0588  acc: 0.5837  lr: 0.0002 
ep/it:103- 200 niter: 39650  199m 36s (- 2692m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0569  acc: 0.5913  lr: 0.0002 
ep/it:103- 250 niter: 39700  199m 50s (- 2692m 5s) completed:  6%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0602  acc: 0.5949  lr: 0.0002 
ep/it:103- 300 niter: 39750  200m 4s (- 2691m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0583  acc: 0.5974  lr: 0.0002 
ep/it:103- 350 niter: 39800  200m 19s (- 2691m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.4455  loss_TTT: 0.0564  acc: 0.5908  lr: 0.0002 
Validation loss:1.625, accuracy:0.563
ep/it:104-  17 niter: 39850  200m 36s (- 2691m 25s) completed:  6%) loss_emb: 0.0000  loss: 1.4548  loss_TTT: 0.0572  acc: 0.5882  lr: 0.0002 
ep/it:104-  67 niter: 39900  200m 50s (- 2690m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4680  loss_TTT: 0.0580  acc: 0.5840  lr: 0.0002 
ep/it:104- 117 niter: 39950  201m 4s (- 2690m 30s) completed:  6%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0539  acc: 0.5946  lr: 0.0002 
ep/it:104- 167 niter: 40000  201m 18s (- 2689m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0584  acc: 0.5906  lr: 0.0002 
ep/it:104- 217 niter: 40050  201m 32s (- 2689m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4752  loss_TTT: 0.0585  acc: 0.5831  lr: 0.0002 
ep/it:104- 267 niter: 40100  201m 47s (- 2689m 10s) completed:  6%) loss_emb: 0.0000  loss: 1.4578  loss_TTT: 0.0579  acc: 0.5867  lr: 0.0002 
ep/it:104- 317 niter: 40150  202m 1s (- 2688m 47s) completed:  6%) loss_emb: 0.0000  loss: 1.4672  loss_TTT: 0.0596  acc: 0.5856  lr: 0.0002 
ep/it:104- 367 niter: 40200  202m 16s (- 2688m 25s) completed:  6%) loss_emb: 0.0000  loss: 1.4560  loss_TTT: 0.0570  acc: 0.5882  lr: 0.0002 
Validation loss:1.678, accuracy:0.550
ep/it:105-  34 niter: 40250  202m 33s (- 2688m 36s) completed:  7%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0569  acc: 0.5910  lr: 0.0002 
ep/it:105-  84 niter: 40300  202m 48s (- 2688m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.4426  loss_TTT: 0.0581  acc: 0.5909  lr: 0.0002 
ep/it:105- 134 niter: 40350  203m 2s (- 2687m 53s) completed:  7%) loss_emb: 0.0000  loss: 1.4380  loss_TTT: 0.0574  acc: 0.5909  lr: 0.0002 
ep/it:105- 184 niter: 40400  203m 16s (- 2687m 22s) completed:  7%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0576  acc: 0.5888  lr: 0.0002 
ep/it:105- 234 niter: 40450  203m 30s (- 2686m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.4531  loss_TTT: 0.0582  acc: 0.5870  lr: 0.0002 
ep/it:105- 284 niter: 40500  203m 45s (- 2686m 41s) completed:  7%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0582  acc: 0.5988  lr: 0.0002 
ep/it:105- 334 niter: 40550  204m 0s (- 2686m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.4655  loss_TTT: 0.0586  acc: 0.5848  lr: 0.0002 
Validation loss:1.650, accuracy:0.555
ep/it:106-   1 niter: 40600  204m 17s (- 2686m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.4719  loss_TTT: 0.0587  acc: 0.5846  lr: 0.0002 
ep/it:106-  51 niter: 40650  204m 32s (- 2686m 9s) completed:  7%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0550  acc: 0.5927  lr: 0.0002 
ep/it:106- 101 niter: 40700  204m 46s (- 2685m 46s) completed:  7%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0569  acc: 0.5910  lr: 0.0002 
ep/it:106- 151 niter: 40750  205m 0s (- 2685m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0561  acc: 0.5939  lr: 0.0002 
ep/it:106- 201 niter: 40800  205m 15s (- 2684m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0576  acc: 0.5930  lr: 0.0002 
ep/it:106- 251 niter: 40850  205m 29s (- 2684m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.4749  loss_TTT: 0.0580  acc: 0.5822  lr: 0.0002 
ep/it:106- 301 niter: 40900  205m 43s (- 2684m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.4517  loss_TTT: 0.0593  acc: 0.5888  lr: 0.0002 
ep/it:106- 351 niter: 40950  205m 57s (- 2683m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.4445  loss_TTT: 0.0587  acc: 0.5914  lr: 0.0002 
Validation loss:1.610, accuracy:0.566
ep/it:107-  18 niter: 41000  206m 15s (- 2683m 47s) completed:  7%) loss_emb: 0.0000  loss: 1.4821  loss_TTT: 0.0588  acc: 0.5820  lr: 0.0002 
ep/it:107-  68 niter: 41050  206m 30s (- 2683m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.4478  loss_TTT: 0.0550  acc: 0.5878  lr: 0.0002 
ep/it:107- 118 niter: 41100  206m 44s (- 2683m 6s) completed:  7%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0584  acc: 0.5896  lr: 0.0002 
ep/it:107- 168 niter: 41150  206m 59s (- 2682m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4679  loss_TTT: 0.0578  acc: 0.5846  lr: 0.0002 
ep/it:107- 218 niter: 41200  207m 13s (- 2682m 22s) completed:  7%) loss_emb: 0.0000  loss: 1.4379  loss_TTT: 0.0570  acc: 0.5918  lr: 0.0002 
ep/it:107- 268 niter: 41250  207m 27s (- 2681m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.4399  loss_TTT: 0.0587  acc: 0.5925  lr: 0.0002 
ep/it:107- 318 niter: 41300  207m 42s (- 2681m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.4660  loss_TTT: 0.0630  acc: 0.5865  lr: 0.0002 
ep/it:107- 368 niter: 41350  207m 56s (- 2681m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.4425  loss_TTT: 0.0617  acc: 0.5904  lr: 0.0002 
Validation loss:1.640, accuracy:0.557
ep/it:108-  35 niter: 41400  208m 13s (- 2681m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0571  acc: 0.5880  lr: 0.0002 
ep/it:108-  85 niter: 41450  208m 27s (- 2680m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0588  acc: 0.5942  lr: 0.0002 
ep/it:108- 135 niter: 41500  208m 42s (- 2680m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.4524  loss_TTT: 0.0612  acc: 0.5891  lr: 0.0002 
ep/it:108- 185 niter: 41550  208m 56s (- 2680m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0565  acc: 0.5888  lr: 0.0002 
ep/it:108- 235 niter: 41600  209m 11s (- 2679m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0538  acc: 0.5982  lr: 0.0002 
ep/it:108- 285 niter: 41650  209m 25s (- 2679m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.4535  loss_TTT: 0.0562  acc: 0.5879  lr: 0.0002 
ep/it:108- 335 niter: 41700  209m 40s (- 2678m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0561  acc: 0.5934  lr: 0.0002 
Validation loss:1.654, accuracy:0.556
ep/it:109-   2 niter: 41750  209m 58s (- 2679m 17s) completed:  7%) loss_emb: 0.0000  loss: 1.4640  loss_TTT: 0.0553  acc: 0.5844  lr: 0.0002 
ep/it:109-  52 niter: 41800  210m 12s (- 2678m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0575  acc: 0.5934  lr: 0.0002 
ep/it:109- 102 niter: 41850  210m 26s (- 2678m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.4469  loss_TTT: 0.0578  acc: 0.5914  lr: 0.0002 
ep/it:109- 152 niter: 41900  210m 40s (- 2678m 0s) completed:  7%) loss_emb: 0.0000  loss: 1.4686  loss_TTT: 0.0582  acc: 0.5834  lr: 0.0002 
ep/it:109- 202 niter: 41950  210m 55s (- 2677m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4395  loss_TTT: 0.0587  acc: 0.5919  lr: 0.0002 
ep/it:109- 252 niter: 42000  211m 9s (- 2677m 14s) completed:  7%) loss_emb: 0.0000  loss: 1.4562  loss_TTT: 0.0581  acc: 0.5881  lr: 0.0002 
ep/it:109- 302 niter: 42050  211m 24s (- 2676m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.4638  loss_TTT: 0.0608  acc: 0.5851  lr: 0.0002 
ep/it:109- 352 niter: 42100  211m 38s (- 2676m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0547  acc: 0.5895  lr: 0.0002 
Validation loss:1.584, accuracy:0.574
Improved accuracy from 0.57 to 0.57 !!!

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.13it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.595314727164805 avg: 38.595314727164805
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.621006798930466 avg: 38.608160763047636
--> 	 Eva. Repeat 0 :, FID. 0.0875, Diversity Real. 9.6185, Diversity. 9.5098, R_precision_real. [0.52832031 0.7109375  0.79785156], R_precision. [0.51464844 0.70019531 0.79980469], matching_score_real. 2.8543, matching_score_pred. 2.9485, skate_ratio. 0.0537, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0967 (traj_fail_50cm (Traj err)): 0.0146 (kps_fail_20cm): 0.0224 (kps_fail_50cm (Loc. err)): 0.0018 (kps_mean_err(m) (Avg. err)): 0.0366 
ep/it:110-  19 niter: 42150  213m 15s (- 2693m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0571  acc: 0.5983  lr: 0.0002 
ep/it:110-  69 niter: 42200  213m 29s (- 2692m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0559  acc: 0.5964  lr: 0.0002 
ep/it:110- 119 niter: 42250  213m 44s (- 2692m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4649  loss_TTT: 0.0579  acc: 0.5851  lr: 0.0002 
ep/it:110- 169 niter: 42300  213m 59s (- 2692m 17s) completed:  7%) loss_emb: 0.0000  loss: 1.4653  loss_TTT: 0.0566  acc: 0.5857  lr: 0.0002 
ep/it:110- 219 niter: 42350  214m 13s (- 2691m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0565  acc: 0.5955  lr: 0.0002 
ep/it:110- 269 niter: 42400  214m 28s (- 2691m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.4530  loss_TTT: 0.0596  acc: 0.5897  lr: 0.0002 
ep/it:110- 319 niter: 42450  214m 42s (- 2691m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0570  acc: 0.5928  lr: 0.0002 
ep/it:110- 369 niter: 42500  214m 56s (- 2690m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.4416  loss_TTT: 0.0559  acc: 0.5911  lr: 0.0002 
Validation loss:1.664, accuracy:0.554
ep/it:111-  36 niter: 42550  215m 13s (- 2690m 41s) completed:  7%) loss_emb: 0.0000  loss: 1.4657  loss_TTT: 0.0597  acc: 0.5842  lr: 0.0002 
ep/it:111-  86 niter: 42600  215m 27s (- 2690m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.4348  loss_TTT: 0.0548  acc: 0.5920  lr: 0.0002 
ep/it:111- 136 niter: 42650  215m 41s (- 2689m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4768  loss_TTT: 0.0578  acc: 0.5811  lr: 0.0002 
ep/it:111- 186 niter: 42700  215m 55s (- 2689m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.4589  loss_TTT: 0.0575  acc: 0.5869  lr: 0.0002 
ep/it:111- 236 niter: 42750  216m 9s (- 2688m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4401  loss_TTT: 0.0570  acc: 0.5918  lr: 0.0002 
ep/it:111- 286 niter: 42800  216m 23s (- 2688m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.4398  loss_TTT: 0.0570  acc: 0.5919  lr: 0.0002 
ep/it:111- 336 niter: 42850  216m 37s (- 2687m 45s) completed:  7%) loss_emb: 0.0000  loss: 1.4465  loss_TTT: 0.0590  acc: 0.5904  lr: 0.0002 
Validation loss:1.692, accuracy:0.546
ep/it:112-   3 niter: 42900  216m 54s (- 2687m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.4497  loss_TTT: 0.0567  acc: 0.5901  lr: 0.0002 
ep/it:112-  53 niter: 42950  217m 8s (- 2687m 23s) completed:  7%) loss_emb: 0.0000  loss: 1.4339  loss_TTT: 0.0572  acc: 0.5923  lr: 0.0002 
ep/it:112- 103 niter: 43000  217m 22s (- 2686m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0538  acc: 0.5966  lr: 0.0002 
ep/it:112- 153 niter: 43050  217m 37s (- 2686m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0559  acc: 0.5950  lr: 0.0002 
ep/it:112- 203 niter: 43100  217m 51s (- 2686m 0s) completed:  7%) loss_emb: 0.0000  loss: 1.4542  loss_TTT: 0.0572  acc: 0.5884  lr: 0.0002 
ep/it:112- 253 niter: 43150  218m 5s (- 2685m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.4556  loss_TTT: 0.0570  acc: 0.5875  lr: 0.0002 
ep/it:112- 303 niter: 43200  218m 19s (- 2685m 2s) completed:  7%) loss_emb: 0.0000  loss: 1.4560  loss_TTT: 0.0568  acc: 0.5869  lr: 0.0002 
ep/it:112- 353 niter: 43250  218m 33s (- 2684m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0567  acc: 0.5881  lr: 0.0002 
Validation loss:1.612, accuracy:0.566
ep/it:113-  20 niter: 43300  218m 49s (- 2684m 35s) completed:  7%) loss_emb: 0.0000  loss: 1.4273  loss_TTT: 0.0561  acc: 0.5947  lr: 0.0002 
ep/it:113-  70 niter: 43350  219m 3s (- 2684m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.4617  loss_TTT: 0.0574  acc: 0.5861  lr: 0.0002 
ep/it:113- 120 niter: 43400  219m 17s (- 2683m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4428  loss_TTT: 0.0572  acc: 0.5901  lr: 0.0002 
ep/it:113- 170 niter: 43450  219m 32s (- 2683m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4480  loss_TTT: 0.0589  acc: 0.5895  lr: 0.0002 
ep/it:113- 220 niter: 43500  219m 46s (- 2682m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.4676  loss_TTT: 0.0552  acc: 0.5830  lr: 0.0002 
ep/it:113- 270 niter: 43550  220m 1s (- 2682m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.4547  loss_TTT: 0.0572  acc: 0.5867  lr: 0.0002 
ep/it:113- 320 niter: 43600  220m 15s (- 2681m 56s) completed:  7%) loss_emb: 0.0000  loss: 1.4375  loss_TTT: 0.0573  acc: 0.5925  lr: 0.0002 
ep/it:113- 370 niter: 43650  220m 28s (- 2681m 23s) completed:  7%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0573  acc: 0.6025  lr: 0.0002 
Validation loss:1.594, accuracy:0.570
ep/it:114-  37 niter: 43700  220m 45s (- 2681m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.4558  loss_TTT: 0.0591  acc: 0.5859  lr: 0.0002 
ep/it:114-  87 niter: 43750  221m 0s (- 2681m 6s) completed:  7%) loss_emb: 0.0000  loss: 1.4441  loss_TTT: 0.0579  acc: 0.5891  lr: 0.0002 
ep/it:114- 137 niter: 43800  221m 14s (- 2680m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0595  acc: 0.5961  lr: 0.0002 
ep/it:114- 187 niter: 43850  221m 29s (- 2680m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.4705  loss_TTT: 0.0601  acc: 0.5836  lr: 0.0002 
ep/it:114- 237 niter: 43900  221m 44s (- 2680m 2s) completed:  7%) loss_emb: 0.0000  loss: 1.4522  loss_TTT: 0.0558  acc: 0.5879  lr: 0.0002 
ep/it:114- 287 niter: 43950  221m 58s (- 2679m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.4518  loss_TTT: 0.0567  acc: 0.5878  lr: 0.0002 
ep/it:114- 337 niter: 44000  222m 12s (- 2679m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4523  loss_TTT: 0.0595  acc: 0.5882  lr: 0.0002 
Validation loss:1.587, accuracy:0.572
ep/it:115-   4 niter: 44050  222m 30s (- 2679m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0586  acc: 0.5864  lr: 0.0002 
ep/it:115-  54 niter: 44100  222m 45s (- 2679m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0587  acc: 0.5981  lr: 0.0002 
ep/it:115- 104 niter: 44150  223m 0s (- 2678m 47s) completed:  7%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0538  acc: 0.5986  lr: 0.0002 
ep/it:115- 154 niter: 44200  223m 14s (- 2678m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.4555  loss_TTT: 0.0578  acc: 0.5885  lr: 0.0002 
ep/it:115- 204 niter: 44250  223m 29s (- 2678m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.4476  loss_TTT: 0.0567  acc: 0.5877  lr: 0.0002 
ep/it:115- 254 niter: 44300  223m 44s (- 2677m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.4512  loss_TTT: 0.0588  acc: 0.5884  lr: 0.0002 
ep/it:115- 304 niter: 44350  223m 58s (- 2677m 18s) completed:  7%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0554  acc: 0.5931  lr: 0.0002 
ep/it:115- 354 niter: 44400  224m 12s (- 2676m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0581  acc: 0.5951  lr: 0.0002 
Validation loss:1.665, accuracy:0.554
ep/it:116-  21 niter: 44450  224m 29s (- 2677m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.4744  loss_TTT: 0.0587  acc: 0.5834  lr: 0.0002 
ep/it:116-  71 niter: 44500  224m 44s (- 2676m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0557  acc: 0.5939  lr: 0.0002 
ep/it:116- 121 niter: 44550  224m 58s (- 2676m 17s) completed:  7%) loss_emb: 0.0000  loss: 1.4405  loss_TTT: 0.0555  acc: 0.5907  lr: 0.0002 
ep/it:116- 171 niter: 44600  225m 13s (- 2675m 56s) completed:  7%) loss_emb: 0.0000  loss: 1.4442  loss_TTT: 0.0600  acc: 0.5915  lr: 0.0002 
ep/it:116- 221 niter: 44650  225m 28s (- 2675m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4465  loss_TTT: 0.0592  acc: 0.5921  lr: 0.0002 
ep/it:116- 271 niter: 44700  225m 42s (- 2675m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.4581  loss_TTT: 0.0613  acc: 0.5886  lr: 0.0002 
ep/it:116- 321 niter: 44750  225m 57s (- 2674m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.4492  loss_TTT: 0.0575  acc: 0.5895  lr: 0.0002 
ep/it:116- 371 niter: 44800  226m 11s (- 2674m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0568  acc: 0.5910  lr: 0.0002 
Validation loss:1.638, accuracy:0.559
ep/it:117-  38 niter: 44850  226m 28s (- 2674m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0563  acc: 0.5933  lr: 0.0002 
ep/it:117-  88 niter: 44900  226m 42s (- 2674m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.4540  loss_TTT: 0.0553  acc: 0.5887  lr: 0.0002 
ep/it:117- 138 niter: 44950  226m 57s (- 2673m 41s) completed:  7%) loss_emb: 0.0000  loss: 1.4666  loss_TTT: 0.0577  acc: 0.5824  lr: 0.0002 
ep/it:117- 188 niter: 45000  227m 11s (- 2673m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0574  acc: 0.5943  lr: 0.0002 
ep/it:117- 238 niter: 45050  227m 25s (- 2672m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.4637  loss_TTT: 0.0577  acc: 0.5860  lr: 0.0002 
ep/it:117- 288 niter: 45100  227m 40s (- 2672m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.4741  loss_TTT: 0.0558  acc: 0.5829  lr: 0.0002 
ep/it:117- 338 niter: 45150  227m 55s (- 2672m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0549  acc: 0.5905  lr: 0.0002 
Validation loss:1.627, accuracy:0.562
ep/it:118-   5 niter: 45200  228m 13s (- 2672m 32s) completed:  7%) loss_emb: 0.0000  loss: 1.4669  loss_TTT: 0.0582  acc: 0.5842  lr: 0.0002 
ep/it:118-  55 niter: 45250  228m 27s (- 2672m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.4423  loss_TTT: 0.0555  acc: 0.5889  lr: 0.0002 
ep/it:118- 105 niter: 45300  228m 42s (- 2671m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0573  acc: 0.5864  lr: 0.0002 
ep/it:118- 155 niter: 45350  228m 57s (- 2671m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.4390  loss_TTT: 0.0601  acc: 0.5928  lr: 0.0002 
ep/it:118- 205 niter: 45400  229m 11s (- 2670m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.4414  loss_TTT: 0.0579  acc: 0.5895  lr: 0.0002 
ep/it:118- 255 niter: 45450  229m 25s (- 2670m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.4561  loss_TTT: 0.0592  acc: 0.5875  lr: 0.0002 
ep/it:118- 305 niter: 45500  229m 39s (- 2670m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0567  acc: 0.5895  lr: 0.0002 
ep/it:118- 355 niter: 45550  229m 53s (- 2669m 38s) completed:  7%) loss_emb: 0.0000  loss: 1.4523  loss_TTT: 0.0559  acc: 0.5886  lr: 0.0002 
Validation loss:1.619, accuracy:0.566
ep/it:119-  22 niter: 45600  230m 10s (- 2669m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4463  loss_TTT: 0.0603  acc: 0.5891  lr: 0.0002 
ep/it:119-  72 niter: 45650  230m 25s (- 2669m 23s) completed:  7%) loss_emb: 0.0000  loss: 1.4596  loss_TTT: 0.0567  acc: 0.5869  lr: 0.0002 
ep/it:119- 122 niter: 45700  230m 39s (- 2668m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.4408  loss_TTT: 0.0593  acc: 0.5921  lr: 0.0002 
ep/it:119- 172 niter: 45750  230m 53s (- 2668m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.4473  loss_TTT: 0.0577  acc: 0.5888  lr: 0.0002 
ep/it:119- 222 niter: 45800  231m 7s (- 2667m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.4605  loss_TTT: 0.0588  acc: 0.5864  lr: 0.0002 
ep/it:119- 272 niter: 45850  231m 20s (- 2667m 24s) completed:  7%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0563  acc: 0.5881  lr: 0.0002 
ep/it:119- 322 niter: 45900  231m 35s (- 2667m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.4697  loss_TTT: 0.0588  acc: 0.5837  lr: 0.0002 
ep/it:119- 372 niter: 45950  231m 50s (- 2666m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0565  acc: 0.5933  lr: 0.0002 
Validation loss:1.653, accuracy:0.554

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.68it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.441104925237596 avg: 38.441104925237596
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.93401797302067 avg: 38.687561449129134
--> 	 Eva. Repeat 0 :, FID. 0.1231, Diversity Real. 9.5780, Diversity. 9.6848, R_precision_real. [0.51660156 0.71972656 0.80859375], R_precision. [0.48828125 0.66503906 0.76855469], matching_score_real. 2.9029, matching_score_pred. 3.1307, skate_ratio. 0.0512, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.1113 (traj_fail_50cm (Traj err)): 0.0156 (kps_fail_20cm): 0.0213 (kps_fail_50cm (Loc. err)): 0.0039 (kps_mean_err(m) (Avg. err)): 0.0359 
ep/it:120-  39 niter: 46000  233m 26s (- 2682m 2s) completed:  8%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0563  acc: 0.5946  lr: 0.0002 
ep/it:120-  89 niter: 46050  233m 41s (- 2681m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0576  acc: 0.5933  lr: 0.0002 
ep/it:120- 139 niter: 46100  233m 56s (- 2681m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.4362  loss_TTT: 0.0565  acc: 0.5917  lr: 0.0002 
ep/it:120- 189 niter: 46150  234m 10s (- 2680m 58s) completed:  8%) loss_emb: 0.0000  loss: 1.4494  loss_TTT: 0.0559  acc: 0.5911  lr: 0.0002 
ep/it:120- 239 niter: 46200  234m 25s (- 2680m 39s) completed:  8%) loss_emb: 0.0000  loss: 1.4490  loss_TTT: 0.0572  acc: 0.5891  lr: 0.0002 
ep/it:120- 289 niter: 46250  234m 40s (- 2680m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.4435  loss_TTT: 0.0567  acc: 0.5911  lr: 0.0002 
ep/it:120- 339 niter: 46300  234m 54s (- 2679m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.4465  loss_TTT: 0.0584  acc: 0.5890  lr: 0.0002 
Validation loss:1.690, accuracy:0.546
ep/it:121-   6 niter: 46350  235m 11s (- 2679m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0576  acc: 0.5970  lr: 0.0002 
ep/it:121-  56 niter: 46400  235m 25s (- 2679m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0566  acc: 0.5961  lr: 0.0002 
ep/it:121- 106 niter: 46450  235m 40s (- 2679m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.4765  loss_TTT: 0.0578  acc: 0.5821  lr: 0.0002 
ep/it:121- 156 niter: 46500  235m 54s (- 2678m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0576  acc: 0.5960  lr: 0.0002 
ep/it:121- 206 niter: 46550  236m 9s (- 2678m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.4388  loss_TTT: 0.0549  acc: 0.5920  lr: 0.0002 
ep/it:121- 256 niter: 46600  236m 24s (- 2678m 1s) completed:  8%) loss_emb: 0.0000  loss: 1.4581  loss_TTT: 0.0577  acc: 0.5881  lr: 0.0002 
ep/it:121- 306 niter: 46650  236m 38s (- 2677m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.4593  loss_TTT: 0.0603  acc: 0.5870  lr: 0.0002 
ep/it:121- 356 niter: 46700  236m 52s (- 2677m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4368  loss_TTT: 0.0607  acc: 0.5907  lr: 0.0002 
Validation loss:1.640, accuracy:0.560
ep/it:122-  23 niter: 46750  237m 9s (- 2677m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0543  acc: 0.5921  lr: 0.0002 
ep/it:122-  73 niter: 46800  237m 24s (- 2676m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.4444  loss_TTT: 0.0567  acc: 0.5905  lr: 0.0002 
ep/it:122- 123 niter: 46850  237m 38s (- 2676m 28s) completed:  8%) loss_emb: 0.0000  loss: 1.4549  loss_TTT: 0.0555  acc: 0.5874  lr: 0.0002 
ep/it:122- 173 niter: 46900  237m 53s (- 2676m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0569  acc: 0.5934  lr: 0.0002 
ep/it:122- 223 niter: 46950  238m 7s (- 2675m 39s) completed:  8%) loss_emb: 0.0000  loss: 1.4677  loss_TTT: 0.0584  acc: 0.5841  lr: 0.0002 
ep/it:122- 273 niter: 47000  238m 21s (- 2675m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4475  loss_TTT: 0.0612  acc: 0.5894  lr: 0.0002 
ep/it:122- 323 niter: 47050  238m 36s (- 2674m 56s) completed:  8%) loss_emb: 0.0000  loss: 1.4765  loss_TTT: 0.0579  acc: 0.5825  lr: 0.0002 
ep/it:122- 373 niter: 47100  238m 50s (- 2674m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0589  acc: 0.5985  lr: 0.0002 
Validation loss:1.687, accuracy:0.547
ep/it:123-  40 niter: 47150  239m 8s (- 2674m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.4377  loss_TTT: 0.0571  acc: 0.5917  lr: 0.0002 
ep/it:123-  90 niter: 47200  239m 22s (- 2674m 13s) completed:  8%) loss_emb: 0.0000  loss: 1.4408  loss_TTT: 0.0568  acc: 0.5908  lr: 0.0002 
ep/it:123- 140 niter: 47250  239m 36s (- 2673m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.4595  loss_TTT: 0.0567  acc: 0.5883  lr: 0.0002 
ep/it:123- 190 niter: 47300  239m 51s (- 2673m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0585  acc: 0.5888  lr: 0.0002 
ep/it:123- 240 niter: 47350  240m 5s (- 2673m 2s) completed:  8%) loss_emb: 0.0000  loss: 1.4486  loss_TTT: 0.0577  acc: 0.5885  lr: 0.0002 
ep/it:123- 290 niter: 47400  240m 21s (- 2672m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.4731  loss_TTT: 0.0584  acc: 0.5832  lr: 0.0002 
ep/it:123- 340 niter: 47450  240m 35s (- 2672m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0549  acc: 0.5980  lr: 0.0002 
Validation loss:1.636, accuracy:0.560
ep/it:124-   7 niter: 47500  240m 53s (- 2672m 33s) completed:  8%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0548  acc: 0.5898  lr: 0.0002 
ep/it:124-  57 niter: 47550  241m 8s (- 2672m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.4701  loss_TTT: 0.0554  acc: 0.5838  lr: 0.0002 
ep/it:124- 107 niter: 47600  241m 22s (- 2671m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.4608  loss_TTT: 0.0588  acc: 0.5871  lr: 0.0002 
ep/it:124- 157 niter: 47650  241m 37s (- 2671m 28s) completed:  8%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0559  acc: 0.5912  lr: 0.0002 
ep/it:124- 207 niter: 47700  241m 51s (- 2671m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.4518  loss_TTT: 0.0561  acc: 0.5886  lr: 0.0002 
ep/it:124- 257 niter: 47750  242m 6s (- 2670m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0580  acc: 0.5917  lr: 0.0002 
ep/it:124- 307 niter: 47800  242m 20s (- 2670m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0575  acc: 0.6001  lr: 0.0002 
ep/it:124- 357 niter: 47850  242m 35s (- 2669m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0584  acc: 0.5929  lr: 0.0002 
Validation loss:1.628, accuracy:0.561
ep/it:125-  24 niter: 47900  242m 51s (- 2669m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0561  acc: 0.5984  lr: 0.0002 
ep/it:125-  74 niter: 47950  243m 6s (- 2669m 38s) completed:  8%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0573  acc: 0.5908  lr: 0.0002 
ep/it:125- 124 niter: 48000  243m 21s (- 2669m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.4488  loss_TTT: 0.0576  acc: 0.5884  lr: 0.0002 
ep/it:125- 174 niter: 48050  243m 35s (- 2668m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.4386  loss_TTT: 0.0570  acc: 0.5913  lr: 0.0002 
ep/it:125- 224 niter: 48100  243m 50s (- 2668m 33s) completed:  8%) loss_emb: 0.0000  loss: 1.4693  loss_TTT: 0.0549  acc: 0.5830  lr: 0.0002 
ep/it:125- 274 niter: 48150  244m 5s (- 2668m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0564  acc: 0.5892  lr: 0.0002 
ep/it:125- 324 niter: 48200  244m 19s (- 2667m 47s) completed:  8%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0571  acc: 0.5915  lr: 0.0002 
ep/it:125- 374 niter: 48250  244m 33s (- 2667m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.4471  loss_TTT: 0.0545  acc: 0.5906  lr: 0.0002 
Validation loss:1.626, accuracy:0.561
ep/it:126-  41 niter: 48300  244m 50s (- 2667m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.4752  loss_TTT: 0.0581  acc: 0.5819  lr: 0.0002 
ep/it:126-  91 niter: 48350  245m 4s (- 2666m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0558  acc: 0.5937  lr: 0.0002 
ep/it:126- 141 niter: 48400  245m 19s (- 2666m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0576  acc: 0.5928  lr: 0.0002 
ep/it:126- 191 niter: 48450  245m 33s (- 2666m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.4547  loss_TTT: 0.0571  acc: 0.5864  lr: 0.0002 
ep/it:126- 241 niter: 48500  245m 48s (- 2665m 51s) completed:  8%) loss_emb: 0.0000  loss: 1.4529  loss_TTT: 0.0575  acc: 0.5876  lr: 0.0002 
ep/it:126- 291 niter: 48550  246m 3s (- 2665m 32s) completed:  8%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0574  acc: 0.5883  lr: 0.0002 
ep/it:126- 341 niter: 48600  246m 17s (- 2665m 8s) completed:  8%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0555  acc: 0.5991  lr: 0.0002 
Validation loss:1.609, accuracy:0.566
ep/it:127-   8 niter: 48650  246m 34s (- 2665m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4596  loss_TTT: 0.0572  acc: 0.5856  lr: 0.0002 
ep/it:127-  58 niter: 48700  246m 48s (- 2664m 47s) completed:  8%) loss_emb: 0.0000  loss: 1.4632  loss_TTT: 0.0569  acc: 0.5845  lr: 0.0002 
ep/it:127- 108 niter: 48750  247m 3s (- 2664m 26s) completed:  8%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0595  acc: 0.5858  lr: 0.0002 
ep/it:127- 158 niter: 48800  247m 17s (- 2664m 2s) completed:  8%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0582  acc: 0.5961  lr: 0.0002 
ep/it:127- 208 niter: 48850  247m 32s (- 2663m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.4528  loss_TTT: 0.0584  acc: 0.5875  lr: 0.0002 
ep/it:127- 258 niter: 48900  247m 46s (- 2663m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4443  loss_TTT: 0.0569  acc: 0.5905  lr: 0.0002 
ep/it:127- 308 niter: 48950  248m 0s (- 2662m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.4742  loss_TTT: 0.0565  acc: 0.5822  lr: 0.0002 
ep/it:127- 358 niter: 49000  248m 14s (- 2662m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.4527  loss_TTT: 0.0556  acc: 0.5882  lr: 0.0002 
Validation loss:1.674, accuracy:0.550
ep/it:128-  25 niter: 49050  248m 31s (- 2662m 21s) completed:  8%) loss_emb: 0.0000  loss: 1.4473  loss_TTT: 0.0580  acc: 0.5892  lr: 0.0002 
ep/it:128-  75 niter: 49100  248m 46s (- 2661m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.4486  loss_TTT: 0.0554  acc: 0.5884  lr: 0.0002 
ep/it:128- 125 niter: 49150  249m 0s (- 2661m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0577  acc: 0.5961  lr: 0.0002 
ep/it:128- 175 niter: 49200  249m 14s (- 2661m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.4545  loss_TTT: 0.0537  acc: 0.5873  lr: 0.0002 
ep/it:128- 225 niter: 49250  249m 28s (- 2660m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.4523  loss_TTT: 0.0589  acc: 0.5885  lr: 0.0002 
ep/it:128- 275 niter: 49300  249m 43s (- 2660m 20s) completed:  8%) loss_emb: 0.0000  loss: 1.4711  loss_TTT: 0.0596  acc: 0.5832  lr: 0.0002 
ep/it:128- 325 niter: 49350  249m 58s (- 2659m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.4401  loss_TTT: 0.0565  acc: 0.5919  lr: 0.0002 
ep/it:128- 375 niter: 49400  250m 12s (- 2659m 34s) completed:  8%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0589  acc: 0.5956  lr: 0.0002 
Validation loss:1.634, accuracy:0.559
ep/it:129-  42 niter: 49450  250m 29s (- 2659m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.4379  loss_TTT: 0.0581  acc: 0.5923  lr: 0.0002 
ep/it:129-  92 niter: 49500  250m 43s (- 2659m 10s) completed:  8%) loss_emb: 0.0000  loss: 1.4338  loss_TTT: 0.0569  acc: 0.5914  lr: 0.0002 
ep/it:129- 142 niter: 49550  250m 57s (- 2658m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0605  acc: 0.5915  lr: 0.0002 
ep/it:129- 192 niter: 49600  251m 12s (- 2658m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.4416  loss_TTT: 0.0564  acc: 0.5900  lr: 0.0002 
ep/it:129- 242 niter: 49650  251m 26s (- 2658m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0580  acc: 0.5933  lr: 0.0002 
ep/it:129- 292 niter: 49700  251m 41s (- 2657m 40s) completed:  8%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0567  acc: 0.5953  lr: 0.0002 
ep/it:129- 342 niter: 49750  251m 56s (- 2657m 20s) completed:  8%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0572  acc: 0.5857  lr: 0.0002 
Validation loss:1.663, accuracy:0.554

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.08it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:19<00:37,  2.50s/it]
100%|██████████| 47/47 [01:19<00:00,  1.69s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.95056061819196 avg: 38.95056061819196
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.52968718763441 avg: 39.24012390291318
--> 	 Eva. Repeat 0 :, FID. 0.1545, Diversity Real. 9.0890, Diversity. 9.6311, R_precision_real. [0.52734375 0.70507812 0.80664062], R_precision. [0.53710938 0.69824219 0.78710938], matching_score_real. 2.9291, matching_score_pred. 2.9397, skate_ratio. 0.0549, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.1006 (traj_fail_50cm (Traj err)): 0.0166 (kps_fail_20cm): 0.0194 (kps_fail_50cm (Loc. err)): 0.0020 (kps_mean_err(m) (Avg. err)): 0.0331 
ep/it:130-   9 niter: 49800  253m 33s (- 2671m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0550  acc: 0.5941  lr: 0.0002 
ep/it:130-  59 niter: 49850  253m 48s (- 2671m 8s) completed:  8%) loss_emb: 0.0000  loss: 1.4649  loss_TTT: 0.0568  acc: 0.5841  lr: 0.0002 
ep/it:130- 109 niter: 49900  254m 2s (- 2670m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0562  acc: 0.5968  lr: 0.0002 
ep/it:130- 159 niter: 49950  254m 16s (- 2670m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.4516  loss_TTT: 0.0565  acc: 0.5895  lr: 0.0002 
ep/it:130- 209 niter: 50000  254m 30s (- 2669m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0553  acc: 0.6009  lr: 0.0002 
ep/it:130- 259 niter: 50050  254m 45s (- 2669m 29s) completed:  8%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0566  acc: 0.5977  lr: 0.0000 
ep/it:130- 309 niter: 50100  254m 59s (- 2669m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.4510  loss_TTT: 0.0559  acc: 0.5863  lr: 0.0000 
ep/it:130- 359 niter: 50150  255m 13s (- 2668m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0580  acc: 0.5950  lr: 0.0000 
Validation loss:1.607, accuracy:0.568
ep/it:131-  26 niter: 50200  255m 31s (- 2668m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0534  acc: 0.5988  lr: 0.0000 
ep/it:131-  76 niter: 50250  255m 45s (- 2668m 21s) completed:  8%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0543  acc: 0.5971  lr: 0.0000 
ep/it:131- 126 niter: 50300  255m 59s (- 2667m 53s) completed:  8%) loss_emb: 0.0000  loss: 1.4465  loss_TTT: 0.0570  acc: 0.5871  lr: 0.0000 
ep/it:131- 176 niter: 50350  256m 13s (- 2667m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0550  acc: 0.5964  lr: 0.0000 
ep/it:131- 226 niter: 50400  256m 27s (- 2666m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.4391  loss_TTT: 0.0576  acc: 0.5910  lr: 0.0000 
ep/it:131- 276 niter: 50450  256m 41s (- 2666m 21s) completed:  8%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0571  acc: 0.5930  lr: 0.0000 
ep/it:131- 326 niter: 50500  256m 55s (- 2665m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.4712  loss_TTT: 0.0560  acc: 0.5825  lr: 0.0000 
ep/it:131- 376 niter: 50550  257m 9s (- 2665m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0554  acc: 0.6011  lr: 0.0000 
Validation loss:1.644, accuracy:0.556
ep/it:132-  43 niter: 50600  257m 26s (- 2665m 29s) completed:  8%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0547  acc: 0.5987  lr: 0.0000 
ep/it:132-  93 niter: 50650  257m 40s (- 2665m 3s) completed:  8%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0572  acc: 0.5950  lr: 0.0000 
ep/it:132- 143 niter: 50700  257m 55s (- 2664m 39s) completed:  8%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0545  acc: 0.5933  lr: 0.0000 
ep/it:132- 193 niter: 50750  258m 9s (- 2664m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0554  acc: 0.5915  lr: 0.0000 
ep/it:132- 243 niter: 50800  258m 24s (- 2663m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0572  acc: 0.5938  lr: 0.0000 
ep/it:132- 293 niter: 50850  258m 39s (- 2663m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.4391  loss_TTT: 0.0537  acc: 0.5882  lr: 0.0000 
ep/it:132- 343 niter: 50900  258m 54s (- 2663m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0544  acc: 0.5907  lr: 0.0000 
Validation loss:1.616, accuracy:0.562
ep/it:133-  10 niter: 50950  259m 11s (- 2663m 20s) completed:  8%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0561  acc: 0.5878  lr: 0.0000 
ep/it:133-  60 niter: 51000  259m 26s (- 2663m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.4392  loss_TTT: 0.0539  acc: 0.5899  lr: 0.0000 
ep/it:133- 110 niter: 51050  259m 40s (- 2662m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0542  acc: 0.5966  lr: 0.0000 
ep/it:133- 160 niter: 51100  259m 55s (- 2662m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.4335  loss_TTT: 0.0560  acc: 0.5919  lr: 0.0000 
ep/it:133- 210 niter: 51150  260m 10s (- 2662m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.4379  loss_TTT: 0.0555  acc: 0.5914  lr: 0.0000 
ep/it:133- 260 niter: 51200  260m 25s (- 2661m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0559  acc: 0.5905  lr: 0.0000 
ep/it:133- 310 niter: 51250  260m 39s (- 2661m 19s) completed:  8%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0538  acc: 0.5955  lr: 0.0000 
ep/it:133- 360 niter: 51300  260m 54s (- 2660m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0554  acc: 0.5972  lr: 0.0000 
Validation loss:1.604, accuracy:0.565
ep/it:134-  27 niter: 51350  261m 11s (- 2660m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0546  acc: 0.5942  lr: 0.0000 
ep/it:134-  77 niter: 51400  261m 25s (- 2660m 32s) completed:  8%) loss_emb: 0.0000  loss: 1.4515  loss_TTT: 0.0524  acc: 0.5867  lr: 0.0000 
ep/it:134- 127 niter: 51450  261m 39s (- 2660m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0527  acc: 0.5926  lr: 0.0000 
ep/it:134- 177 niter: 51500  261m 53s (- 2659m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.4654  loss_TTT: 0.0544  acc: 0.5833  lr: 0.0000 
ep/it:134- 227 niter: 51550  262m 7s (- 2659m 12s) completed:  8%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0566  acc: 0.5965  lr: 0.0000 
ep/it:134- 277 niter: 51600  262m 22s (- 2658m 47s) completed:  8%) loss_emb: 0.0000  loss: 1.4366  loss_TTT: 0.0564  acc: 0.5895  lr: 0.0000 
ep/it:134- 327 niter: 51650  262m 36s (- 2658m 21s) completed:  8%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0545  acc: 0.5974  lr: 0.0000 
ep/it:134- 377 niter: 51700  262m 50s (- 2657m 53s) completed:  8%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0545  acc: 0.5958  lr: 0.0000 
Validation loss:1.592, accuracy:0.571
ep/it:135-  44 niter: 51750  263m 7s (- 2657m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0543  acc: 0.6007  lr: 0.0000 
ep/it:135-  94 niter: 51800  263m 22s (- 2657m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0539  acc: 0.5935  lr: 0.0000 
ep/it:135- 144 niter: 51850  263m 36s (- 2657m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0546  acc: 0.5892  lr: 0.0000 
ep/it:135- 194 niter: 51900  263m 51s (- 2656m 49s) completed:  9%) loss_emb: 0.0000  loss: 1.4506  loss_TTT: 0.0560  acc: 0.5867  lr: 0.0000 
ep/it:135- 244 niter: 51950  264m 5s (- 2656m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0534  acc: 0.5935  lr: 0.0000 
ep/it:135- 294 niter: 52000  264m 19s (- 2655m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0545  acc: 0.5921  lr: 0.0000 
ep/it:135- 344 niter: 52050  264m 34s (- 2655m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0563  acc: 0.5873  lr: 0.0000 
Validation loss:1.590, accuracy:0.569
ep/it:136-  11 niter: 52100  264m 51s (- 2655m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0552  acc: 0.5953  lr: 0.0000 
ep/it:136-  61 niter: 52150  265m 5s (- 2655m 16s) completed:  9%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0538  acc: 0.5977  lr: 0.0000 
ep/it:136- 111 niter: 52200  265m 20s (- 2654m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.4291  loss_TTT: 0.0556  acc: 0.5920  lr: 0.0000 
ep/it:136- 161 niter: 52250  265m 34s (- 2654m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4194  loss_TTT: 0.0534  acc: 0.5951  lr: 0.0000 
ep/it:136- 211 niter: 52300  265m 49s (- 2654m 6s) completed:  9%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0568  acc: 0.5913  lr: 0.0000 
ep/it:136- 261 niter: 52350  266m 3s (- 2653m 44s) completed:  9%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0565  acc: 0.5935  lr: 0.0000 
ep/it:136- 311 niter: 52400  266m 18s (- 2653m 22s) completed:  9%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0560  acc: 0.5941  lr: 0.0000 
ep/it:136- 361 niter: 52450  266m 32s (- 2652m 55s) completed:  9%) loss_emb: 0.0000  loss: 1.4427  loss_TTT: 0.0556  acc: 0.5883  lr: 0.0000 
Validation loss:1.572, accuracy:0.573
ep/it:137-  28 niter: 52500  266m 48s (- 2652m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.4251  loss_TTT: 0.0561  acc: 0.5943  lr: 0.0000 
ep/it:137-  78 niter: 52550  267m 3s (- 2652m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0544  acc: 0.5965  lr: 0.0000 
ep/it:137- 128 niter: 52600  267m 18s (- 2652m 13s) completed:  9%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0536  acc: 0.5932  lr: 0.0000 
ep/it:137- 178 niter: 52650  267m 32s (- 2651m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.4419  loss_TTT: 0.0531  acc: 0.5897  lr: 0.0000 
ep/it:137- 228 niter: 52700  267m 47s (- 2651m 28s) completed:  9%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0552  acc: 0.5977  lr: 0.0000 
ep/it:137- 278 niter: 52750  268m 2s (- 2651m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0550  acc: 0.5973  lr: 0.0000 
ep/it:137- 328 niter: 52800  268m 16s (- 2650m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0553  acc: 0.5946  lr: 0.0000 
ep/it:137- 378 niter: 52850  268m 30s (- 2650m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0545  acc: 0.5950  lr: 0.0000 
Validation loss:1.597, accuracy:0.567
ep/it:138-  45 niter: 52900  268m 47s (- 2650m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0537  acc: 0.5956  lr: 0.0000 
ep/it:138-  95 niter: 52950  269m 1s (- 2649m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0540  acc: 0.5951  lr: 0.0000 
ep/it:138- 145 niter: 53000  269m 15s (- 2649m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0529  acc: 0.5941  lr: 0.0000 
ep/it:138- 195 niter: 53050  269m 29s (- 2648m 59s) completed:  9%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0532  acc: 0.5933  lr: 0.0000 
ep/it:138- 245 niter: 53100  269m 43s (- 2648m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.4287  loss_TTT: 0.0555  acc: 0.5919  lr: 0.0000 
ep/it:138- 295 niter: 53150  269m 58s (- 2648m 6s) completed:  9%) loss_emb: 0.0000  loss: 1.4900  loss_TTT: 0.0557  acc: 0.5756  lr: 0.0000 
ep/it:138- 345 niter: 53200  270m 12s (- 2647m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.4336  loss_TTT: 0.0546  acc: 0.5898  lr: 0.0000 
Validation loss:1.639, accuracy:0.558
ep/it:139-  12 niter: 53250  270m 30s (- 2647m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0559  acc: 0.5928  lr: 0.0000 
ep/it:139-  62 niter: 53300  270m 45s (- 2647m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.4292  loss_TTT: 0.0550  acc: 0.5914  lr: 0.0000 
ep/it:139- 112 niter: 53350  270m 59s (- 2647m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0532  acc: 0.5950  lr: 0.0000 
ep/it:139- 162 niter: 53400  271m 13s (- 2646m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0523  acc: 0.5930  lr: 0.0000 
ep/it:139- 212 niter: 53450  271m 28s (- 2646m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.4291  loss_TTT: 0.0533  acc: 0.5910  lr: 0.0000 
ep/it:139- 262 niter: 53500  271m 42s (- 2645m 59s) completed:  9%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0544  acc: 0.5927  lr: 0.0000 
ep/it:139- 312 niter: 53550  271m 57s (- 2645m 41s) completed:  9%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0552  acc: 0.5919  lr: 0.0000 
ep/it:139- 362 niter: 53600  272m 11s (- 2645m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0549  acc: 0.5900  lr: 0.0000 
Validation loss:1.617, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.74it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.40413407422602 avg: 38.40413407422602
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.43402415513992 avg: 38.41907911468297
--> 	 Eva. Repeat 0 :, FID. 0.1058, Diversity Real. 9.4886, Diversity. 9.8332, R_precision_real. [0.48535156 0.68261719 0.78027344], R_precision. [0.46679688 0.67675781 0.78808594], matching_score_real. 2.9740, matching_score_pred. 3.0459, skate_ratio. 0.0534, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0840 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0187 (kps_fail_50cm (Loc. err)): 0.0022 (kps_mean_err(m) (Avg. err)): 0.0338 
ep/it:140-  29 niter: 53650  273m 46s (- 2657m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0543  acc: 0.5951  lr: 0.0000 
ep/it:140-  79 niter: 53700  274m 1s (- 2657m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.4351  loss_TTT: 0.0551  acc: 0.5911  lr: 0.0000 
ep/it:140- 129 niter: 53750  274m 15s (- 2657m 5s) completed:  9%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0533  acc: 0.5954  lr: 0.0000 
ep/it:140- 179 niter: 53800  274m 29s (- 2656m 38s) completed:  9%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0555  acc: 0.5925  lr: 0.0000 
ep/it:140- 229 niter: 53850  274m 43s (- 2656m 11s) completed:  9%) loss_emb: 0.0000  loss: 1.4333  loss_TTT: 0.0561  acc: 0.5918  lr: 0.0000 
ep/it:140- 279 niter: 53900  274m 57s (- 2655m 45s) completed:  9%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0558  acc: 0.5948  lr: 0.0000 
ep/it:140- 329 niter: 53950  275m 12s (- 2655m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.4302  loss_TTT: 0.0529  acc: 0.5914  lr: 0.0000 
ep/it:140- 379 niter: 54000  275m 25s (- 2654m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0548  acc: 0.5913  lr: 0.0000 
Validation loss:1.591, accuracy:0.570
ep/it:141-  46 niter: 54050  275m 43s (- 2654m 53s) completed:  9%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0522  acc: 0.5935  lr: 0.0000 
ep/it:141-  96 niter: 54100  275m 57s (- 2654m 33s) completed:  9%) loss_emb: 0.0000  loss: 1.4415  loss_TTT: 0.0553  acc: 0.5896  lr: 0.0000 
ep/it:141- 146 niter: 54150  276m 11s (- 2654m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.4326  loss_TTT: 0.0571  acc: 0.5915  lr: 0.0000 
ep/it:141- 196 niter: 54200  276m 26s (- 2653m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0527  acc: 0.5963  lr: 0.0000 
ep/it:141- 246 niter: 54250  276m 40s (- 2653m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.4475  loss_TTT: 0.0555  acc: 0.5876  lr: 0.0000 
ep/it:141- 296 niter: 54300  276m 54s (- 2652m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0531  acc: 0.5931  lr: 0.0000 
ep/it:141- 346 niter: 54350  277m 8s (- 2652m 22s) completed:  9%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0540  acc: 0.6018  lr: 0.0000 
Validation loss:1.652, accuracy:0.551
ep/it:142-  13 niter: 54400  277m 25s (- 2652m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4749  loss_TTT: 0.0541  acc: 0.5796  lr: 0.0000 
ep/it:142-  63 niter: 54450  277m 40s (- 2652m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.4277  loss_TTT: 0.0564  acc: 0.5918  lr: 0.0000 
ep/it:142- 113 niter: 54500  277m 55s (- 2651m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0542  acc: 0.5978  lr: 0.0000 
ep/it:142- 163 niter: 54550  278m 9s (- 2651m 22s) completed:  9%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0541  acc: 0.5976  lr: 0.0000 
ep/it:142- 213 niter: 54600  278m 24s (- 2651m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.4414  loss_TTT: 0.0550  acc: 0.5891  lr: 0.0000 
ep/it:142- 263 niter: 54650  278m 39s (- 2650m 38s) completed:  9%) loss_emb: 0.0000  loss: 1.4207  loss_TTT: 0.0552  acc: 0.5946  lr: 0.0000 
ep/it:142- 313 niter: 54700  278m 53s (- 2650m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.4401  loss_TTT: 0.0564  acc: 0.5893  lr: 0.0000 
ep/it:142- 363 niter: 54750  279m 7s (- 2649m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0517  acc: 0.5933  lr: 0.0000 
Validation loss:1.597, accuracy:0.570
ep/it:143-  30 niter: 54800  279m 23s (- 2649m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0534  acc: 0.5980  lr: 0.0000 
ep/it:143-  80 niter: 54850  279m 37s (- 2649m 12s) completed:  9%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0541  acc: 0.5931  lr: 0.0000 
ep/it:143- 130 niter: 54900  279m 51s (- 2648m 45s) completed:  9%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0516  acc: 0.5989  lr: 0.0000 
ep/it:143- 180 niter: 54950  280m 5s (- 2648m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0550  acc: 0.5939  lr: 0.0000 
ep/it:143- 230 niter: 55000  280m 19s (- 2647m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0540  acc: 0.5906  lr: 0.0000 
ep/it:143- 280 niter: 55050  280m 33s (- 2647m 23s) completed:  9%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0553  acc: 0.5926  lr: 0.0000 
ep/it:143- 330 niter: 55100  280m 47s (- 2646m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0538  acc: 0.6000  lr: 0.0000 
ep/it:143- 380 niter: 55150  281m 1s (- 2646m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0542  acc: 0.5906  lr: 0.0000 
Validation loss:1.590, accuracy:0.568
ep/it:144-  47 niter: 55200  281m 19s (- 2646m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0540  acc: 0.5967  lr: 0.0000 
ep/it:144-  97 niter: 55250  281m 33s (- 2646m 11s) completed:  9%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0538  acc: 0.5905  lr: 0.0000 
ep/it:144- 147 niter: 55300  281m 48s (- 2645m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0542  acc: 0.5961  lr: 0.0000 
ep/it:144- 197 niter: 55350  282m 2s (- 2645m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4302  loss_TTT: 0.0544  acc: 0.5912  lr: 0.0000 
ep/it:144- 247 niter: 55400  282m 17s (- 2645m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0569  acc: 0.5903  lr: 0.0000 
ep/it:144- 297 niter: 55450  282m 31s (- 2644m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0547  acc: 0.5918  lr: 0.0000 
ep/it:144- 347 niter: 55500  282m 45s (- 2644m 12s) completed:  9%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0556  acc: 0.5941  lr: 0.0000 
Validation loss:1.639, accuracy:0.559
ep/it:145-  14 niter: 55550  283m 3s (- 2644m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0551  acc: 0.5908  lr: 0.0000 
ep/it:145-  64 niter: 55600  283m 17s (- 2643m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0537  acc: 0.5936  lr: 0.0000 
ep/it:145- 114 niter: 55650  283m 31s (- 2643m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4513  loss_TTT: 0.0561  acc: 0.5868  lr: 0.0000 
ep/it:145- 164 niter: 55700  283m 46s (- 2643m 3s) completed:  9%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0535  acc: 0.5926  lr: 0.0000 
ep/it:145- 214 niter: 55750  284m 0s (- 2642m 37s) completed:  9%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0525  acc: 0.5968  lr: 0.0000 
ep/it:145- 264 niter: 55800  284m 14s (- 2642m 16s) completed:  9%) loss_emb: 0.0000  loss: 1.4455  loss_TTT: 0.0551  acc: 0.5881  lr: 0.0000 
ep/it:145- 314 niter: 55850  284m 29s (- 2641m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0535  acc: 0.5976  lr: 0.0000 
ep/it:145- 364 niter: 55900  284m 43s (- 2641m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0524  acc: 0.5912  lr: 0.0000 
Validation loss:1.659, accuracy:0.553
ep/it:146-  31 niter: 55950  285m 1s (- 2641m 35s) completed:  9%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0532  acc: 0.5970  lr: 0.0000 
ep/it:146-  81 niter: 56000  285m 15s (- 2641m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0524  acc: 0.5951  lr: 0.0000 
ep/it:146- 131 niter: 56050  285m 30s (- 2640m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0545  acc: 0.5968  lr: 0.0000 
ep/it:146- 181 niter: 56100  285m 44s (- 2640m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0532  acc: 0.5938  lr: 0.0000 
ep/it:146- 231 niter: 56150  285m 59s (- 2640m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0548  acc: 0.5972  lr: 0.0000 
ep/it:146- 281 niter: 56200  286m 14s (- 2639m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0543  acc: 0.5966  lr: 0.0000 
ep/it:146- 331 niter: 56250  286m 28s (- 2639m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0525  acc: 0.5964  lr: 0.0000 
ep/it:146- 381 niter: 56300  286m 43s (- 2639m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.4496  loss_TTT: 0.0552  acc: 0.5871  lr: 0.0000 
Validation loss:1.575, accuracy:0.570
ep/it:147-  48 niter: 56350  286m 59s (- 2639m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0544  acc: 0.5874  lr: 0.0000 
ep/it:147-  98 niter: 56400  287m 13s (- 2638m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0535  acc: 0.6003  lr: 0.0000 
ep/it:147- 148 niter: 56450  287m 28s (- 2638m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0563  acc: 0.5961  lr: 0.0000 
ep/it:147- 198 niter: 56500  287m 42s (- 2637m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0555  acc: 0.5938  lr: 0.0000 
ep/it:147- 248 niter: 56550  287m 56s (- 2637m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0546  acc: 0.5931  lr: 0.0000 
ep/it:147- 298 niter: 56600  288m 10s (- 2636m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0548  acc: 0.5953  lr: 0.0000 
ep/it:147- 348 niter: 56650  288m 24s (- 2636m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0519  acc: 0.5991  lr: 0.0000 
Validation loss:1.616, accuracy:0.558
ep/it:148-  15 niter: 56700  288m 41s (- 2636m 23s) completed:  9%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0510  acc: 0.5940  lr: 0.0000 
ep/it:148-  65 niter: 56750  288m 55s (- 2635m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0540  acc: 0.5929  lr: 0.0000 
ep/it:148- 115 niter: 56800  289m 9s (- 2635m 28s) completed:  9%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0553  acc: 0.5935  lr: 0.0000 
ep/it:148- 165 niter: 56850  289m 23s (- 2635m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0533  acc: 0.5977  lr: 0.0000 
ep/it:148- 215 niter: 56900  289m 37s (- 2634m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0529  acc: 0.5876  lr: 0.0000 
ep/it:148- 265 niter: 56950  289m 51s (- 2634m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.4516  loss_TTT: 0.0567  acc: 0.5863  lr: 0.0000 
ep/it:148- 315 niter: 57000  290m 5s (- 2633m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.4500  loss_TTT: 0.0550  acc: 0.5866  lr: 0.0000 
ep/it:148- 365 niter: 57050  290m 20s (- 2633m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0549  acc: 0.5989  lr: 0.0000 
Validation loss:1.636, accuracy:0.557
ep/it:149-  32 niter: 57100  290m 37s (- 2633m 23s) completed:  9%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0532  acc: 0.5946  lr: 0.0000 
ep/it:149-  82 niter: 57150  290m 51s (- 2633m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0535  acc: 0.5905  lr: 0.0000 
ep/it:149- 132 niter: 57200  291m 5s (- 2632m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0530  acc: 0.5962  lr: 0.0000 
ep/it:149- 182 niter: 57250  291m 20s (- 2632m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0521  acc: 0.5925  lr: 0.0000 
ep/it:149- 232 niter: 57300  291m 34s (- 2631m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.4367  loss_TTT: 0.0573  acc: 0.5893  lr: 0.0000 
ep/it:149- 282 niter: 57350  291m 48s (- 2631m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4318  loss_TTT: 0.0547  acc: 0.5923  lr: 0.0000 
ep/it:149- 332 niter: 57400  292m 3s (- 2631m 5s) completed:  9%) loss_emb: 0.0000  loss: 1.4478  loss_TTT: 0.0566  acc: 0.5866  lr: 0.0000 
ep/it:149- 382 niter: 57450  292m 18s (- 2630m 42s) completed: 10%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0531  acc: 0.5956  lr: 0.0000 
Validation loss:1.680, accuracy:0.548

  0%|          | 0/47 [00:00<?, ?it/s]
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 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.43587984610349 avg: 38.43587984610349
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.67136390320957 avg: 38.55362187465653
--> 	 Eva. Repeat 0 :, FID. 0.1085, Diversity Real. 9.5153, Diversity. 9.7410, R_precision_real. [0.51367188 0.70410156 0.81542969], R_precision. [0.55761719 0.71484375 0.80566406], matching_score_real. 2.9064, matching_score_pred. 2.8285, skate_ratio. 0.0462, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0723 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0151 (kps_fail_50cm (Loc. err)): 0.0030 (kps_mean_err(m) (Avg. err)): 0.0319 
ep/it:150-  49 niter: 57500  293m 55s (- 2642m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0550  acc: 0.5912  lr: 0.0000 
ep/it:150-  99 niter: 57550  294m 10s (- 2642m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0547  acc: 0.5919  lr: 0.0000 
ep/it:150- 149 niter: 57600  294m 24s (- 2642m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0553  acc: 0.5896  lr: 0.0000 
ep/it:150- 199 niter: 57650  294m 38s (- 2641m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0544  acc: 0.5901  lr: 0.0000 
ep/it:150- 249 niter: 57700  294m 52s (- 2641m 9s) completed: 10%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0508  acc: 0.6059  lr: 0.0000 
ep/it:150- 299 niter: 57750  295m 7s (- 2640m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0527  acc: 0.5905  lr: 0.0000 
ep/it:150- 349 niter: 57800  295m 21s (- 2640m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0530  acc: 0.5937  lr: 0.0000 
Validation loss:1.618, accuracy:0.561
ep/it:151-  16 niter: 57850  295m 38s (- 2640m 17s) completed: 10%) loss_emb: 0.0000  loss: 1.4451  loss_TTT: 0.0544  acc: 0.5859  lr: 0.0000 
ep/it:151-  66 niter: 57900  295m 52s (- 2639m 51s) completed: 10%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0545  acc: 0.5899  lr: 0.0000 
ep/it:151- 116 niter: 57950  296m 6s (- 2639m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0518  acc: 0.5964  lr: 0.0000 
ep/it:151- 166 niter: 58000  296m 20s (- 2638m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0548  acc: 0.5978  lr: 0.0000 
ep/it:151- 216 niter: 58050  296m 34s (- 2638m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.4556  loss_TTT: 0.0564  acc: 0.5846  lr: 0.0000 
ep/it:151- 266 niter: 58100  296m 48s (- 2638m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0526  acc: 0.5980  lr: 0.0000 
ep/it:151- 316 niter: 58150  297m 2s (- 2637m 34s) completed: 10%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0547  acc: 0.5919  lr: 0.0000 
ep/it:151- 366 niter: 58200  297m 16s (- 2637m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0561  acc: 0.5954  lr: 0.0000 
Validation loss:1.585, accuracy:0.569
ep/it:152-  33 niter: 58250  297m 32s (- 2637m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0537  acc: 0.5959  lr: 0.0000 
ep/it:152-  83 niter: 58300  297m 46s (- 2636m 37s) completed: 10%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0545  acc: 0.5942  lr: 0.0000 
ep/it:152- 133 niter: 58350  298m 0s (- 2636m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0539  acc: 0.6000  lr: 0.0000 
ep/it:152- 183 niter: 58400  298m 14s (- 2635m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0547  acc: 0.5934  lr: 0.0000 
ep/it:152- 233 niter: 58450  298m 28s (- 2635m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0536  acc: 0.5970  lr: 0.0000 
ep/it:152- 283 niter: 58500  298m 42s (- 2634m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0538  acc: 0.5913  lr: 0.0000 
ep/it:152- 333 niter: 58550  298m 56s (- 2634m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.4505  loss_TTT: 0.0535  acc: 0.5863  lr: 0.0000 
Validation loss:1.600, accuracy:0.566
ep/it:153-   0 niter: 58600  299m 13s (- 2634m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0538  acc: 0.5900  lr: 0.0000 
ep/it:153-  50 niter: 58650  299m 27s (- 2633m 49s) completed: 10%) loss_emb: 0.0000  loss: 1.4582  loss_TTT: 0.0542  acc: 0.5846  lr: 0.0000 
ep/it:153- 100 niter: 58700  299m 41s (- 2633m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0541  acc: 0.5954  lr: 0.0000 
ep/it:153- 150 niter: 58750  299m 55s (- 2632m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.4442  loss_TTT: 0.0531  acc: 0.5883  lr: 0.0000 
ep/it:153- 200 niter: 58800  300m 9s (- 2632m 26s) completed: 10%) loss_emb: 0.0000  loss: 1.4305  loss_TTT: 0.0552  acc: 0.5914  lr: 0.0000 
ep/it:153- 250 niter: 58850  300m 23s (- 2631m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0530  acc: 0.5977  lr: 0.0000 
ep/it:153- 300 niter: 58900  300m 36s (- 2631m 32s) completed: 10%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0554  acc: 0.5953  lr: 0.0000 
ep/it:153- 350 niter: 58950  300m 50s (- 2631m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0535  acc: 0.6011  lr: 0.0000 
Validation loss:1.661, accuracy:0.551
ep/it:154-  17 niter: 59000  301m 7s (- 2631m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.4283  loss_TTT: 0.0548  acc: 0.5933  lr: 0.0000 
ep/it:154-  67 niter: 59050  301m 21s (- 2630m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0541  acc: 0.5950  lr: 0.0000 
ep/it:154- 117 niter: 59100  301m 36s (- 2630m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.4429  loss_TTT: 0.0575  acc: 0.5880  lr: 0.0000 
ep/it:154- 167 niter: 59150  301m 50s (- 2629m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0544  acc: 0.5962  lr: 0.0000 
ep/it:154- 217 niter: 59200  302m 4s (- 2629m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0526  acc: 0.5947  lr: 0.0000 
ep/it:154- 267 niter: 59250  302m 18s (- 2628m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0569  acc: 0.5944  lr: 0.0000 
ep/it:154- 317 niter: 59300  302m 32s (- 2628m 30s) completed: 10%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0540  acc: 0.5954  lr: 0.0000 
ep/it:154- 367 niter: 59350  302m 47s (- 2628m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0524  acc: 0.5959  lr: 0.0000 
Validation loss:1.592, accuracy:0.568
ep/it:155-  34 niter: 59400  303m 3s (- 2628m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0521  acc: 0.5956  lr: 0.0000 
ep/it:155-  84 niter: 59450  303m 17s (- 2627m 37s) completed: 10%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0519  acc: 0.5979  lr: 0.0000 
ep/it:155- 134 niter: 59500  303m 32s (- 2627m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0554  acc: 0.5952  lr: 0.0000 
ep/it:155- 184 niter: 59550  303m 46s (- 2626m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0518  acc: 0.5901  lr: 0.0000 
ep/it:155- 234 niter: 59600  304m 0s (- 2626m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.4284  loss_TTT: 0.0538  acc: 0.5926  lr: 0.0000 
ep/it:155- 284 niter: 59650  304m 14s (- 2625m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0556  acc: 0.5940  lr: 0.0000 
ep/it:155- 334 niter: 59700  304m 28s (- 2625m 32s) completed: 10%) loss_emb: 0.0000  loss: 1.4468  loss_TTT: 0.0562  acc: 0.5872  lr: 0.0000 
Validation loss:1.637, accuracy:0.558
ep/it:156-   1 niter: 59750  304m 45s (- 2625m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.4377  loss_TTT: 0.0557  acc: 0.5890  lr: 0.0000 
ep/it:156-  51 niter: 59800  304m 59s (- 2625m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0524  acc: 0.5962  lr: 0.0000 
ep/it:156- 101 niter: 59850  305m 13s (- 2624m 35s) completed: 10%) loss_emb: 0.0000  loss: 1.4368  loss_TTT: 0.0551  acc: 0.5898  lr: 0.0000 
ep/it:156- 151 niter: 59900  305m 27s (- 2624m 13s) completed: 10%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0525  acc: 0.5950  lr: 0.0000 
ep/it:156- 201 niter: 59950  305m 42s (- 2623m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0554  acc: 0.5934  lr: 0.0000 
ep/it:156- 251 niter: 60000  305m 56s (- 2623m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0554  acc: 0.5981  lr: 0.0000 
ep/it:156- 301 niter: 60050  306m 11s (- 2623m 9s) completed: 10%) loss_emb: 0.0000  loss: 1.4399  loss_TTT: 0.0545  acc: 0.5882  lr: 0.0000 
ep/it:156- 351 niter: 60100  306m 25s (- 2622m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.4504  loss_TTT: 0.0541  acc: 0.5878  lr: 0.0000 
Validation loss:1.604, accuracy:0.565
ep/it:157-  18 niter: 60150  306m 42s (- 2622m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.4156  loss_TTT: 0.0539  acc: 0.5944  lr: 0.0000 
ep/it:157-  68 niter: 60200  306m 57s (- 2622m 27s) completed: 10%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0550  acc: 0.5934  lr: 0.0000 
ep/it:157- 118 niter: 60250  307m 11s (- 2622m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.4687  loss_TTT: 0.0540  acc: 0.5803  lr: 0.0000 
ep/it:157- 168 niter: 60300  307m 26s (- 2621m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0520  acc: 0.5988  lr: 0.0000 
ep/it:157- 218 niter: 60350  307m 41s (- 2621m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0548  acc: 0.5946  lr: 0.0000 
ep/it:157- 268 niter: 60400  307m 55s (- 2620m 54s) completed: 10%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0546  acc: 0.5952  lr: 0.0000 
ep/it:157- 318 niter: 60450  308m 9s (- 2620m 29s) completed: 10%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0543  acc: 0.5960  lr: 0.0000 
ep/it:157- 368 niter: 60500  308m 23s (- 2620m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0557  acc: 0.5946  lr: 0.0000 
Validation loss:1.650, accuracy:0.555
ep/it:158-  35 niter: 60550  308m 41s (- 2620m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4429  loss_TTT: 0.0550  acc: 0.5889  lr: 0.0000 
ep/it:158-  85 niter: 60600  308m 55s (- 2619m 41s) completed: 10%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0539  acc: 0.5933  lr: 0.0000 
ep/it:158- 135 niter: 60650  309m 9s (- 2619m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0552  acc: 0.5944  lr: 0.0000 
ep/it:158- 185 niter: 60700  309m 23s (- 2618m 54s) completed: 10%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0545  acc: 0.6000  lr: 0.0000 
ep/it:158- 235 niter: 60750  309m 38s (- 2618m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0550  acc: 0.5912  lr: 0.0000 
ep/it:158- 285 niter: 60800  309m 53s (- 2618m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0548  acc: 0.5963  lr: 0.0000 
ep/it:158- 335 niter: 60850  310m 7s (- 2617m 53s) completed: 10%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0518  acc: 0.5934  lr: 0.0000 
Validation loss:1.611, accuracy:0.563
ep/it:159-   2 niter: 60900  310m 24s (- 2617m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0531  acc: 0.5927  lr: 0.0000 
ep/it:159-  52 niter: 60950  310m 39s (- 2617m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0545  acc: 0.5917  lr: 0.0000 
ep/it:159- 102 niter: 61000  310m 53s (- 2617m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0532  acc: 0.5935  lr: 0.0000 
ep/it:159- 152 niter: 61050  311m 8s (- 2616m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.4548  loss_TTT: 0.0543  acc: 0.5853  lr: 0.0000 
ep/it:159- 202 niter: 61100  311m 22s (- 2616m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0546  acc: 0.5983  lr: 0.0000 
ep/it:159- 252 niter: 61150  311m 37s (- 2616m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0545  acc: 0.5951  lr: 0.0000 
ep/it:159- 302 niter: 61200  311m 51s (- 2615m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0527  acc: 0.5916  lr: 0.0000 
ep/it:159- 352 niter: 61250  312m 6s (- 2615m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.4351  loss_TTT: 0.0542  acc: 0.5899  lr: 0.0000 
Validation loss:1.656, accuracy:0.553

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100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.68249374162406 avg: 38.68249374162406
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.411449590697885 avg: 38.54697166616097
--> 	 Eva. Repeat 0 :, FID. 0.0782, Diversity Real. 9.3493, Diversity. 9.3065, R_precision_real. [0.52636719 0.70410156 0.80078125], R_precision. [0.51757812 0.70117188 0.79003906], matching_score_real. 2.8601, matching_score_pred. 2.9241, skate_ratio. 0.0454, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0684 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0124 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0303 
ep/it:160-  19 niter: 61300  313m 41s (- 2626m 15s) completed: 10%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0516  acc: 0.5921  lr: 0.0000 
ep/it:160-  69 niter: 61350  313m 55s (- 2625m 48s) completed: 10%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0553  acc: 0.5922  lr: 0.0000 
ep/it:160- 119 niter: 61400  314m 10s (- 2625m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0526  acc: 0.5917  lr: 0.0000 
ep/it:160- 169 niter: 61450  314m 24s (- 2624m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.4347  loss_TTT: 0.0551  acc: 0.5913  lr: 0.0000 
ep/it:160- 219 niter: 61500  314m 38s (- 2624m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0542  acc: 0.5947  lr: 0.0000 
ep/it:160- 269 niter: 61550  314m 52s (- 2624m 9s) completed: 10%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0549  acc: 0.5905  lr: 0.0000 
ep/it:160- 319 niter: 61600  315m 7s (- 2623m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0511  acc: 0.5950  lr: 0.0000 
ep/it:160- 369 niter: 61650  315m 21s (- 2623m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.4374  loss_TTT: 0.0527  acc: 0.5897  lr: 0.0000 
Validation loss:1.648, accuracy:0.552
ep/it:161-  36 niter: 61700  315m 38s (- 2623m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0522  acc: 0.5944  lr: 0.0000 
ep/it:161-  86 niter: 61750  315m 53s (- 2623m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0535  acc: 0.5967  lr: 0.0000 
ep/it:161- 136 niter: 61800  316m 8s (- 2622m 42s) completed: 10%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0522  acc: 0.6028  lr: 0.0000 
ep/it:161- 186 niter: 61850  316m 22s (- 2622m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4472  loss_TTT: 0.0555  acc: 0.5862  lr: 0.0000 
ep/it:161- 236 niter: 61900  316m 36s (- 2621m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0557  acc: 0.5928  lr: 0.0000 
ep/it:161- 286 niter: 61950  316m 51s (- 2621m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0530  acc: 0.5929  lr: 0.0000 
ep/it:161- 336 niter: 62000  317m 5s (- 2621m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0527  acc: 0.6008  lr: 0.0000 
Validation loss:1.625, accuracy:0.558
ep/it:162-   3 niter: 62050  317m 22s (- 2621m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4496  loss_TTT: 0.0549  acc: 0.5860  lr: 0.0000 
ep/it:162-  53 niter: 62100  317m 37s (- 2620m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0515  acc: 0.5924  lr: 0.0000 
ep/it:162- 103 niter: 62150  317m 51s (- 2620m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0527  acc: 0.5922  lr: 0.0000 
ep/it:162- 153 niter: 62200  318m 6s (- 2620m 0s) completed: 10%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0531  acc: 0.5993  lr: 0.0000 
ep/it:162- 203 niter: 62250  318m 20s (- 2619m 34s) completed: 10%) loss_emb: 0.0000  loss: 1.4281  loss_TTT: 0.0548  acc: 0.5898  lr: 0.0000 
ep/it:162- 253 niter: 62300  318m 35s (- 2619m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.4223  loss_TTT: 0.0537  acc: 0.5939  lr: 0.0000 
ep/it:162- 303 niter: 62350  318m 49s (- 2618m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.4317  loss_TTT: 0.0539  acc: 0.5908  lr: 0.0000 
ep/it:162- 353 niter: 62400  319m 4s (- 2618m 29s) completed: 10%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0522  acc: 0.5958  lr: 0.0000 
Validation loss:1.570, accuracy:0.573
ep/it:163-  20 niter: 62450  319m 21s (- 2618m 29s) completed: 10%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0537  acc: 0.5928  lr: 0.0000 
ep/it:163-  70 niter: 62500  319m 35s (- 2618m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0540  acc: 0.5970  lr: 0.0000 
ep/it:163- 120 niter: 62550  319m 50s (- 2617m 47s) completed: 10%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0533  acc: 0.5982  lr: 0.0000 
ep/it:163- 170 niter: 62600  320m 4s (- 2617m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0539  acc: 0.5925  lr: 0.0000 
ep/it:163- 220 niter: 62650  320m 19s (- 2617m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0539  acc: 0.5968  lr: 0.0000 
ep/it:163- 270 niter: 62700  320m 34s (- 2616m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.4305  loss_TTT: 0.0553  acc: 0.5906  lr: 0.0000 
ep/it:163- 320 niter: 62750  320m 48s (- 2616m 22s) completed: 10%) loss_emb: 0.0000  loss: 1.4367  loss_TTT: 0.0532  acc: 0.5894  lr: 0.0000 
ep/it:163- 370 niter: 62800  321m 3s (- 2615m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0561  acc: 0.5945  lr: 0.0000 
Validation loss:1.667, accuracy:0.550
ep/it:164-  37 niter: 62850  321m 20s (- 2615m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0532  acc: 0.5999  lr: 0.0000 
ep/it:164-  87 niter: 62900  321m 33s (- 2615m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0529  acc: 0.5976  lr: 0.0000 
ep/it:164- 137 niter: 62950  321m 48s (- 2615m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0544  acc: 0.5930  lr: 0.0000 
ep/it:164- 187 niter: 63000  322m 2s (- 2614m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0520  acc: 0.5927  lr: 0.0000 
ep/it:164- 237 niter: 63050  322m 16s (- 2614m 15s) completed: 10%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0569  acc: 0.5817  lr: 0.0000 
ep/it:164- 287 niter: 63100  322m 30s (- 2613m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.4361  loss_TTT: 0.0552  acc: 0.5894  lr: 0.0000 
ep/it:164- 337 niter: 63150  322m 44s (- 2613m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0532  acc: 0.5978  lr: 0.0000 
Validation loss:1.656, accuracy:0.553
ep/it:165-   4 niter: 63200  323m 1s (- 2613m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0532  acc: 0.5991  lr: 0.0000 
ep/it:165-  54 niter: 63250  323m 15s (- 2612m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0540  acc: 0.5971  lr: 0.0000 
ep/it:165- 104 niter: 63300  323m 29s (- 2612m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0567  acc: 0.5939  lr: 0.0000 
ep/it:165- 154 niter: 63350  323m 44s (- 2612m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0551  acc: 0.5936  lr: 0.0000 
ep/it:165- 204 niter: 63400  323m 58s (- 2611m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0528  acc: 0.5959  lr: 0.0000 
ep/it:165- 254 niter: 63450  324m 13s (- 2611m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0531  acc: 0.5995  lr: 0.0000 
ep/it:165- 304 niter: 63500  324m 28s (- 2611m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0535  acc: 0.5919  lr: 0.0000 
ep/it:165- 354 niter: 63550  324m 42s (- 2610m 43s) completed: 11%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0543  acc: 0.5885  lr: 0.0000 
Validation loss:1.634, accuracy:0.557
ep/it:166-  21 niter: 63600  324m 59s (- 2610m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0550  acc: 0.5984  lr: 0.0000 
ep/it:166-  71 niter: 63650  325m 13s (- 2610m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0544  acc: 0.5947  lr: 0.0000 
ep/it:166- 121 niter: 63700  325m 27s (- 2609m 44s) completed: 11%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0514  acc: 0.5986  lr: 0.0000 
ep/it:166- 171 niter: 63750  325m 41s (- 2609m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0555  acc: 0.5937  lr: 0.0000 
ep/it:166- 221 niter: 63800  325m 55s (- 2608m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4227  loss_TTT: 0.0522  acc: 0.5939  lr: 0.0000 
ep/it:166- 271 niter: 63850  326m 9s (- 2608m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0545  acc: 0.5939  lr: 0.0000 
ep/it:166- 321 niter: 63900  326m 23s (- 2608m 0s) completed: 11%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0520  acc: 0.6010  lr: 0.0000 
ep/it:166- 371 niter: 63950  326m 37s (- 2607m 34s) completed: 11%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0530  acc: 0.5926  lr: 0.0000 
Validation loss:1.654, accuracy:0.552
ep/it:167-  38 niter: 64000  326m 53s (- 2607m 32s) completed: 11%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0548  acc: 0.5991  lr: 0.0000 
ep/it:167-  88 niter: 64050  327m 8s (- 2607m 13s) completed: 11%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0529  acc: 0.6035  lr: 0.0000 
ep/it:167- 138 niter: 64100  327m 23s (- 2606m 53s) completed: 11%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0536  acc: 0.5936  lr: 0.0000 
ep/it:167- 188 niter: 64150  327m 37s (- 2606m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0529  acc: 0.5947  lr: 0.0000 
ep/it:167- 238 niter: 64200  327m 51s (- 2606m 4s) completed: 11%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0520  acc: 0.5976  lr: 0.0000 
ep/it:167- 288 niter: 64250  328m 6s (- 2605m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0520  acc: 0.5898  lr: 0.0000 
ep/it:167- 338 niter: 64300  328m 20s (- 2605m 15s) completed: 11%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0526  acc: 0.5911  lr: 0.0000 
Validation loss:1.609, accuracy:0.564
ep/it:168-   5 niter: 64350  328m 36s (- 2605m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0547  acc: 0.5918  lr: 0.0000 
ep/it:168-  55 niter: 64400  328m 51s (- 2604m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0536  acc: 0.5922  lr: 0.0000 
ep/it:168- 105 niter: 64450  329m 5s (- 2604m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0526  acc: 0.5934  lr: 0.0000 
ep/it:168- 155 niter: 64500  329m 20s (- 2604m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0551  acc: 0.5886  lr: 0.0000 
ep/it:168- 205 niter: 64550  329m 35s (- 2603m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0520  acc: 0.5930  lr: 0.0000 
ep/it:168- 255 niter: 64600  329m 49s (- 2603m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0525  acc: 0.5984  lr: 0.0000 
ep/it:168- 305 niter: 64650  330m 3s (- 2602m 59s) completed: 11%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0559  acc: 0.5952  lr: 0.0000 
ep/it:168- 355 niter: 64700  330m 18s (- 2602m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0555  acc: 0.5896  lr: 0.0000 
Validation loss:1.637, accuracy:0.554
ep/it:169-  22 niter: 64750  330m 35s (- 2602m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0524  acc: 0.6011  lr: 0.0000 
ep/it:169-  72 niter: 64800  330m 49s (- 2602m 14s) completed: 11%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0541  acc: 0.5972  lr: 0.0000 
ep/it:169- 122 niter: 64850  331m 4s (- 2601m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0533  acc: 0.5907  lr: 0.0000 
ep/it:169- 172 niter: 64900  331m 19s (- 2601m 32s) completed: 11%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0529  acc: 0.5982  lr: 0.0000 
ep/it:169- 222 niter: 64950  331m 33s (- 2601m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0527  acc: 0.5971  lr: 0.0000 
ep/it:169- 272 niter: 65000  331m 47s (- 2600m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0555  acc: 0.5892  lr: 0.0000 
ep/it:169- 322 niter: 65050  332m 2s (- 2600m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0548  acc: 0.5944  lr: 0.0000 
ep/it:169- 372 niter: 65100  332m 16s (- 2600m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0516  acc: 0.5981  lr: 0.0000 
Validation loss:1.612, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.62it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.714517631568015 avg: 38.714517631568015
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.847766457125545 avg: 38.78114204434678
--> 	 Eva. Repeat 0 :, FID. 0.0975, Diversity Real. 9.2443, Diversity. 9.6359, R_precision_real. [0.51269531 0.69628906 0.79003906], R_precision. [0.515625   0.70703125 0.79296875], matching_score_real. 2.9403, matching_score_pred. 2.9447, skate_ratio. 0.0518, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0801 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0147 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0308 
ep/it:170-  39 niter: 65150  333m 53s (- 2610m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.4364  loss_TTT: 0.0539  acc: 0.5896  lr: 0.0000 
ep/it:170-  89 niter: 65200  334m 8s (- 2610m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0535  acc: 0.5981  lr: 0.0000 
ep/it:170- 139 niter: 65250  334m 22s (- 2609m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.4336  loss_TTT: 0.0544  acc: 0.5914  lr: 0.0000 
ep/it:170- 189 niter: 65300  334m 36s (- 2609m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0530  acc: 0.5902  lr: 0.0000 
ep/it:170- 239 niter: 65350  334m 50s (- 2608m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0532  acc: 0.5939  lr: 0.0000 
ep/it:170- 289 niter: 65400  335m 4s (- 2608m 24s) completed: 11%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0540  acc: 0.5945  lr: 0.0000 
ep/it:170- 339 niter: 65450  335m 19s (- 2608m 0s) completed: 11%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0536  acc: 0.5891  lr: 0.0000 
Validation loss:1.585, accuracy:0.569
ep/it:171-   6 niter: 65500  335m 35s (- 2607m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0534  acc: 0.5911  lr: 0.0000 
ep/it:171-  56 niter: 65550  335m 50s (- 2607m 34s) completed: 11%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0543  acc: 0.5953  lr: 0.0000 
ep/it:171- 106 niter: 65600  336m 5s (- 2607m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0534  acc: 0.5930  lr: 0.0000 
ep/it:171- 156 niter: 65650  336m 19s (- 2606m 49s) completed: 11%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0548  acc: 0.5915  lr: 0.0000 
ep/it:171- 206 niter: 65700  336m 33s (- 2606m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0529  acc: 0.5933  lr: 0.0000 
ep/it:171- 256 niter: 65750  336m 48s (- 2606m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0540  acc: 0.5926  lr: 0.0000 
ep/it:171- 306 niter: 65800  337m 3s (- 2605m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0514  acc: 0.5924  lr: 0.0000 
ep/it:171- 356 niter: 65850  337m 18s (- 2605m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0541  acc: 0.5984  lr: 0.0000 
Validation loss:1.622, accuracy:0.560
ep/it:172-  23 niter: 65900  337m 34s (- 2605m 20s) completed: 11%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0538  acc: 0.5970  lr: 0.0000 
ep/it:172-  73 niter: 65950  337m 49s (- 2604m 58s) completed: 11%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0531  acc: 0.5953  lr: 0.0000 
ep/it:172- 123 niter: 66000  338m 3s (- 2604m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0531  acc: 0.5939  lr: 0.0000 
ep/it:172- 173 niter: 66050  338m 18s (- 2604m 13s) completed: 11%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0519  acc: 0.5930  lr: 0.0000 
ep/it:172- 223 niter: 66100  338m 32s (- 2603m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.4555  loss_TTT: 0.0544  acc: 0.5846  lr: 0.0000 
ep/it:172- 273 niter: 66150  338m 47s (- 2603m 30s) completed: 11%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0530  acc: 0.5924  lr: 0.0000 
ep/it:172- 323 niter: 66200  339m 1s (- 2603m 4s) completed: 11%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0528  acc: 0.5946  lr: 0.0000 
ep/it:172- 373 niter: 66250  339m 15s (- 2602m 39s) completed: 11%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0529  acc: 0.5972  lr: 0.0000 
Validation loss:1.606, accuracy:0.565
ep/it:173-  40 niter: 66300  339m 32s (- 2602m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0522  acc: 0.5986  lr: 0.0000 
ep/it:173-  90 niter: 66350  339m 46s (- 2602m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0555  acc: 0.5916  lr: 0.0000 
ep/it:173- 140 niter: 66400  340m 0s (- 2601m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0517  acc: 0.6016  lr: 0.0000 
ep/it:173- 190 niter: 66450  340m 14s (- 2601m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.4465  loss_TTT: 0.0538  acc: 0.5857  lr: 0.0000 
ep/it:173- 240 niter: 66500  340m 29s (- 2601m 1s) completed: 11%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0541  acc: 0.5990  lr: 0.0000 
ep/it:173- 290 niter: 66550  340m 43s (- 2600m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0526  acc: 0.5918  lr: 0.0000 
ep/it:173- 340 niter: 66600  340m 58s (- 2600m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4347  loss_TTT: 0.0534  acc: 0.5916  lr: 0.0000 
Validation loss:1.589, accuracy:0.570
ep/it:174-   7 niter: 66650  341m 15s (- 2600m 15s) completed: 11%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0534  acc: 0.5928  lr: 0.0000 
ep/it:174-  57 niter: 66700  341m 30s (- 2599m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0532  acc: 0.5904  lr: 0.0000 
ep/it:174- 107 niter: 66750  341m 45s (- 2599m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0536  acc: 0.5925  lr: 0.0000 
ep/it:174- 157 niter: 66800  341m 59s (- 2599m 13s) completed: 11%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0525  acc: 0.5999  lr: 0.0000 
ep/it:174- 207 niter: 66850  342m 13s (- 2598m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0519  acc: 0.5926  lr: 0.0000 
ep/it:174- 257 niter: 66900  342m 28s (- 2598m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4327  loss_TTT: 0.0529  acc: 0.5897  lr: 0.0000 
ep/it:174- 307 niter: 66950  342m 42s (- 2598m 1s) completed: 11%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0505  acc: 0.5965  lr: 0.0000 
ep/it:174- 357 niter: 67000  342m 55s (- 2597m 34s) completed: 11%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0557  acc: 0.5901  lr: 0.0000 
Validation loss:1.633, accuracy:0.556
ep/it:175-  24 niter: 67050  343m 13s (- 2597m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0530  acc: 0.6036  lr: 0.0000 
ep/it:175-  74 niter: 67100  343m 28s (- 2597m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4346  loss_TTT: 0.0522  acc: 0.5879  lr: 0.0000 
ep/it:175- 124 niter: 67150  343m 42s (- 2596m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0546  acc: 0.5917  lr: 0.0000 
ep/it:175- 174 niter: 67200  343m 57s (- 2596m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0548  acc: 0.5947  lr: 0.0000 
ep/it:175- 224 niter: 67250  344m 12s (- 2596m 14s) completed: 11%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0536  acc: 0.5951  lr: 0.0000 
ep/it:175- 274 niter: 67300  344m 26s (- 2595m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0542  acc: 0.5910  lr: 0.0000 
ep/it:175- 324 niter: 67350  344m 41s (- 2595m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0530  acc: 0.5981  lr: 0.0000 
ep/it:175- 374 niter: 67400  344m 56s (- 2595m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0516  acc: 0.6020  lr: 0.0000 
Validation loss:1.573, accuracy:0.573
ep/it:176-  41 niter: 67450  345m 14s (- 2595m 17s) completed: 11%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0529  acc: 0.6011  lr: 0.0000 
ep/it:176-  91 niter: 67500  345m 28s (- 2594m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.4465  loss_TTT: 0.0531  acc: 0.5860  lr: 0.0000 
ep/it:176- 141 niter: 67550  345m 43s (- 2594m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0526  acc: 0.5901  lr: 0.0000 
ep/it:176- 191 niter: 67600  345m 58s (- 2594m 17s) completed: 11%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0530  acc: 0.5988  lr: 0.0000 
ep/it:176- 241 niter: 67650  346m 12s (- 2593m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0553  acc: 0.5952  lr: 0.0000 
ep/it:176- 291 niter: 67700  346m 27s (- 2593m 30s) completed: 11%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0538  acc: 0.5921  lr: 0.0000 
ep/it:176- 341 niter: 67750  346m 41s (- 2593m 7s) completed: 11%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0531  acc: 0.5903  lr: 0.0000 
Validation loss:1.635, accuracy:0.559
ep/it:177-   8 niter: 67800  346m 58s (- 2593m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0533  acc: 0.5906  lr: 0.0000 
ep/it:177-  58 niter: 67850  347m 13s (- 2592m 49s) completed: 11%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0547  acc: 0.5937  lr: 0.0000 
ep/it:177- 108 niter: 67900  347m 28s (- 2592m 29s) completed: 11%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0542  acc: 0.5968  lr: 0.0000 
ep/it:177- 158 niter: 67950  347m 42s (- 2592m 7s) completed: 11%) loss_emb: 0.0000  loss: 1.4395  loss_TTT: 0.0548  acc: 0.5884  lr: 0.0000 
ep/it:177- 208 niter: 68000  347m 57s (- 2591m 47s) completed: 11%) loss_emb: 0.0000  loss: 1.4348  loss_TTT: 0.0541  acc: 0.5908  lr: 0.0000 
ep/it:177- 258 niter: 68050  348m 12s (- 2591m 29s) completed: 11%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0519  acc: 0.5946  lr: 0.0000 
ep/it:177- 308 niter: 68100  348m 26s (- 2591m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0529  acc: 0.5936  lr: 0.0000 
ep/it:177- 358 niter: 68150  348m 41s (- 2590m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0536  acc: 0.5944  lr: 0.0000 
Validation loss:1.625, accuracy:0.558
ep/it:178-  25 niter: 68200  348m 58s (- 2590m 43s) completed: 11%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0537  acc: 0.5926  lr: 0.0000 
ep/it:178-  75 niter: 68250  349m 12s (- 2590m 17s) completed: 11%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0532  acc: 0.5921  lr: 0.0000 
ep/it:178- 125 niter: 68300  349m 26s (- 2589m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0531  acc: 0.5902  lr: 0.0000 
ep/it:178- 175 niter: 68350  349m 41s (- 2589m 32s) completed: 11%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0519  acc: 0.5886  lr: 0.0000 
ep/it:178- 225 niter: 68400  349m 55s (- 2589m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0539  acc: 0.5893  lr: 0.0000 
ep/it:178- 275 niter: 68450  350m 10s (- 2588m 47s) completed: 11%) loss_emb: 0.0000  loss: 1.4350  loss_TTT: 0.0553  acc: 0.5900  lr: 0.0000 
ep/it:178- 325 niter: 68500  350m 24s (- 2588m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0541  acc: 0.5977  lr: 0.0000 
ep/it:178- 375 niter: 68550  350m 39s (- 2588m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.4247  loss_TTT: 0.0530  acc: 0.5928  lr: 0.0000 
Validation loss:1.602, accuracy:0.563
ep/it:179-  42 niter: 68600  350m 57s (- 2588m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0520  acc: 0.5939  lr: 0.0000 
ep/it:179-  92 niter: 68650  351m 12s (- 2587m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0526  acc: 0.5946  lr: 0.0000 
ep/it:179- 142 niter: 68700  351m 26s (- 2587m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0530  acc: 0.5992  lr: 0.0000 
ep/it:179- 192 niter: 68750  351m 40s (- 2587m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.4413  loss_TTT: 0.0552  acc: 0.5877  lr: 0.0000 
ep/it:179- 242 niter: 68800  351m 54s (- 2586m 38s) completed: 11%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0558  acc: 0.5992  lr: 0.0000 
ep/it:179- 292 niter: 68850  352m 9s (- 2586m 17s) completed: 11%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0520  acc: 0.5916  lr: 0.0000 
ep/it:179- 342 niter: 68900  352m 23s (- 2585m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0518  acc: 0.5998  lr: 0.0000 
Validation loss:1.614, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.63it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.5510154273361 avg: 38.5510154273361
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.69984474405646 avg: 38.62543008569628
--> 	 Eva. Repeat 0 :, FID. 0.1065, Diversity Real. 9.4663, Diversity. 9.2062, R_precision_real. [0.52929688 0.71191406 0.79785156], R_precision. [0.53027344 0.71289062 0.80078125], matching_score_real. 2.8295, matching_score_pred. 2.8813, skate_ratio. 0.0434, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0771 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0137 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0317 
ep/it:180-   9 niter: 68950  353m 59s (- 2595m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0530  acc: 0.5958  lr: 0.0000 
ep/it:180-  59 niter: 69000  354m 13s (- 2595m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0501  acc: 0.6044  lr: 0.0000 
ep/it:180- 109 niter: 69050  354m 28s (- 2594m 46s) completed: 12%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0543  acc: 0.5939  lr: 0.0000 
ep/it:180- 159 niter: 69100  354m 43s (- 2594m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0525  acc: 0.5901  lr: 0.0000 
ep/it:180- 209 niter: 69150  354m 57s (- 2594m 3s) completed: 12%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0540  acc: 0.5965  lr: 0.0000 
ep/it:180- 259 niter: 69200  355m 11s (- 2593m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.4338  loss_TTT: 0.0524  acc: 0.5889  lr: 0.0000 
ep/it:180- 309 niter: 69250  355m 26s (- 2593m 16s) completed: 12%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0550  acc: 0.5981  lr: 0.0000 
ep/it:180- 359 niter: 69300  355m 41s (- 2592m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.4435  loss_TTT: 0.0553  acc: 0.5871  lr: 0.0000 
Validation loss:1.686, accuracy:0.545
ep/it:181-  26 niter: 69350  355m 57s (- 2592m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.4190  loss_TTT: 0.0548  acc: 0.5940  lr: 0.0000 
ep/it:181-  76 niter: 69400  356m 12s (- 2592m 29s) completed: 12%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0542  acc: 0.5921  lr: 0.0000 
ep/it:181- 126 niter: 69450  356m 27s (- 2592m 12s) completed: 12%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0520  acc: 0.5943  lr: 0.0000 
ep/it:181- 176 niter: 69500  356m 41s (- 2591m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0553  acc: 0.5968  lr: 0.0000 
ep/it:181- 226 niter: 69550  356m 56s (- 2591m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0513  acc: 0.5993  lr: 0.0000 
ep/it:181- 276 niter: 69600  357m 10s (- 2591m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0536  acc: 0.5892  lr: 0.0000 
ep/it:181- 326 niter: 69650  357m 24s (- 2590m 36s) completed: 12%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0512  acc: 0.6005  lr: 0.0000 
ep/it:181- 376 niter: 69700  357m 38s (- 2590m 15s) completed: 12%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0556  acc: 0.5917  lr: 0.0000 
Validation loss:1.662, accuracy:0.551
ep/it:182-  43 niter: 69750  357m 55s (- 2590m 12s) completed: 12%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0529  acc: 0.5935  lr: 0.0000 
ep/it:182-  93 niter: 69800  358m 10s (- 2589m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0537  acc: 0.5965  lr: 0.0000 
ep/it:182- 143 niter: 69850  358m 25s (- 2589m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0506  acc: 0.5937  lr: 0.0000 
ep/it:182- 193 niter: 69900  358m 40s (- 2589m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0535  acc: 0.5980  lr: 0.0000 
ep/it:182- 243 niter: 69950  358m 54s (- 2588m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0516  acc: 0.5967  lr: 0.0000 
ep/it:182- 293 niter: 70000  359m 8s (- 2588m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0540  acc: 0.5988  lr: 0.0000 
ep/it:182- 343 niter: 70050  359m 22s (- 2588m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0531  acc: 0.5962  lr: 0.0000 
Validation loss:1.617, accuracy:0.560
ep/it:183-  10 niter: 70100  359m 39s (- 2587m 54s) completed: 12%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0551  acc: 0.5951  lr: 0.0000 
ep/it:183-  60 niter: 70150  359m 53s (- 2587m 27s) completed: 12%) loss_emb: 0.0000  loss: 1.4281  loss_TTT: 0.0546  acc: 0.5928  lr: 0.0000 
ep/it:183- 110 niter: 70200  360m 7s (- 2587m 1s) completed: 12%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0516  acc: 0.5995  lr: 0.0000 
ep/it:183- 160 niter: 70250  360m 21s (- 2586m 36s) completed: 12%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0530  acc: 0.5935  lr: 0.0000 
ep/it:183- 210 niter: 70300  360m 35s (- 2586m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.4441  loss_TTT: 0.0512  acc: 0.5875  lr: 0.0000 
ep/it:183- 260 niter: 70350  360m 49s (- 2585m 46s) completed: 12%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0537  acc: 0.5999  lr: 0.0000 
ep/it:183- 310 niter: 70400  361m 3s (- 2585m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0515  acc: 0.5996  lr: 0.0000 
ep/it:183- 360 niter: 70450  361m 17s (- 2584m 53s) completed: 12%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0532  acc: 0.5918  lr: 0.0000 
Validation loss:1.639, accuracy:0.556
ep/it:184-  27 niter: 70500  361m 33s (- 2584m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0534  acc: 0.5933  lr: 0.0000 
ep/it:184-  77 niter: 70550  361m 48s (- 2584m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0533  acc: 0.6005  lr: 0.0000 
ep/it:184- 127 niter: 70600  362m 1s (- 2583m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0534  acc: 0.5989  lr: 0.0000 
ep/it:184- 177 niter: 70650  362m 16s (- 2583m 33s) completed: 12%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0544  acc: 0.5924  lr: 0.0000 
ep/it:184- 227 niter: 70700  362m 29s (- 2583m 7s) completed: 12%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0526  acc: 0.5999  lr: 0.0000 
ep/it:184- 277 niter: 70750  362m 43s (- 2582m 41s) completed: 12%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0509  acc: 0.5920  lr: 0.0000 
ep/it:184- 327 niter: 70800  362m 57s (- 2582m 16s) completed: 12%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0532  acc: 0.5858  lr: 0.0000 
ep/it:184- 377 niter: 70850  363m 12s (- 2581m 54s) completed: 12%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0560  acc: 0.5963  lr: 0.0000 
Validation loss:1.628, accuracy:0.559
ep/it:185-  44 niter: 70900  363m 29s (- 2581m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0544  acc: 0.5897  lr: 0.0000 
ep/it:185-  94 niter: 70950  363m 43s (- 2581m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0537  acc: 0.5906  lr: 0.0000 
ep/it:185- 144 niter: 71000  363m 57s (- 2580m 59s) completed: 12%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0514  acc: 0.5929  lr: 0.0000 
ep/it:185- 194 niter: 71050  364m 11s (- 2580m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.4441  loss_TTT: 0.0550  acc: 0.5870  lr: 0.0000 
ep/it:185- 244 niter: 71100  364m 25s (- 2580m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0518  acc: 0.5952  lr: 0.0000 
ep/it:185- 294 niter: 71150  364m 39s (- 2579m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0514  acc: 0.5952  lr: 0.0000 
ep/it:185- 344 niter: 71200  364m 53s (- 2579m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0512  acc: 0.5958  lr: 0.0000 
Validation loss:1.585, accuracy:0.570
ep/it:186-  11 niter: 71250  365m 11s (- 2579m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0560  acc: 0.5915  lr: 0.0000 
ep/it:186-  61 niter: 71300  365m 26s (- 2579m 3s) completed: 12%) loss_emb: 0.0000  loss: 1.4403  loss_TTT: 0.0529  acc: 0.5878  lr: 0.0000 
ep/it:186- 111 niter: 71350  365m 40s (- 2578m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0541  acc: 0.5948  lr: 0.0000 
ep/it:186- 161 niter: 71400  365m 55s (- 2578m 19s) completed: 12%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0541  acc: 0.5962  lr: 0.0000 
ep/it:186- 211 niter: 71450  366m 9s (- 2577m 56s) completed: 12%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0524  acc: 0.5957  lr: 0.0000 
ep/it:186- 261 niter: 71500  366m 23s (- 2577m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0526  acc: 0.5979  lr: 0.0000 
ep/it:186- 311 niter: 71550  366m 38s (- 2577m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0529  acc: 0.6024  lr: 0.0000 
ep/it:186- 361 niter: 71600  366m 52s (- 2576m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0544  acc: 0.5951  lr: 0.0000 
Validation loss:1.614, accuracy:0.564
ep/it:187-  28 niter: 71650  367m 9s (- 2576m 49s) completed: 12%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0516  acc: 0.5955  lr: 0.0000 
ep/it:187-  78 niter: 71700  367m 24s (- 2576m 27s) completed: 12%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0548  acc: 0.5934  lr: 0.0000 
ep/it:187- 128 niter: 71750  367m 38s (- 2576m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0542  acc: 0.5936  lr: 0.0000 
ep/it:187- 178 niter: 71800  367m 52s (- 2575m 41s) completed: 12%) loss_emb: 0.0000  loss: 1.4373  loss_TTT: 0.0528  acc: 0.5881  lr: 0.0000 
ep/it:187- 228 niter: 71850  368m 7s (- 2575m 19s) completed: 12%) loss_emb: 0.0000  loss: 1.4305  loss_TTT: 0.0519  acc: 0.5906  lr: 0.0000 
ep/it:187- 278 niter: 71900  368m 21s (- 2574m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0503  acc: 0.5935  lr: 0.0000 
ep/it:187- 328 niter: 71950  368m 35s (- 2574m 27s) completed: 12%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0544  acc: 0.5971  lr: 0.0000 
ep/it:187- 378 niter: 72000  368m 49s (- 2574m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0520  acc: 0.5930  lr: 0.0000 
Validation loss:1.615, accuracy:0.561
ep/it:188-  45 niter: 72050  369m 6s (- 2574m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0537  acc: 0.5908  lr: 0.0000 
ep/it:188-  95 niter: 72100  369m 20s (- 2573m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0536  acc: 0.5973  lr: 0.0000 
ep/it:188- 145 niter: 72150  369m 35s (- 2573m 15s) completed: 12%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0536  acc: 0.5991  lr: 0.0000 
ep/it:188- 195 niter: 72200  369m 49s (- 2572m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0515  acc: 0.6004  lr: 0.0000 
ep/it:188- 245 niter: 72250  370m 3s (- 2572m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0531  acc: 0.5915  lr: 0.0000 
ep/it:188- 295 niter: 72300  370m 18s (- 2572m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0536  acc: 0.5984  lr: 0.0000 
ep/it:188- 345 niter: 72350  370m 32s (- 2571m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0540  acc: 0.5970  lr: 0.0000 
Validation loss:1.619, accuracy:0.559
ep/it:189-  12 niter: 72400  370m 49s (- 2571m 43s) completed: 12%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0525  acc: 0.6011  lr: 0.0000 
ep/it:189-  62 niter: 72450  371m 3s (- 2571m 20s) completed: 12%) loss_emb: 0.0000  loss: 1.4315  loss_TTT: 0.0529  acc: 0.5901  lr: 0.0000 
ep/it:189- 112 niter: 72500  371m 18s (- 2571m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.4333  loss_TTT: 0.0547  acc: 0.5906  lr: 0.0000 
ep/it:189- 162 niter: 72550  371m 33s (- 2570m 43s) completed: 12%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0525  acc: 0.5923  lr: 0.0000 
ep/it:189- 212 niter: 72600  371m 48s (- 2570m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0524  acc: 0.5964  lr: 0.0000 
ep/it:189- 262 niter: 72650  372m 2s (- 2570m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0514  acc: 0.5933  lr: 0.0000 
ep/it:189- 312 niter: 72700  372m 16s (- 2569m 34s) completed: 12%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0533  acc: 0.5946  lr: 0.0000 
ep/it:189- 362 niter: 72750  372m 30s (- 2569m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0532  acc: 0.5895  lr: 0.0000 
Validation loss:1.610, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.68it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.68449033237994 avg: 38.68449033237994
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.50647683814168 avg: 38.59548358526081
--> 	 Eva. Repeat 0 :, FID. 0.1303, Diversity Real. 9.2924, Diversity. 9.6335, R_precision_real. [0.49707031 0.71289062 0.79296875], R_precision. [0.50488281 0.69921875 0.79199219], matching_score_real. 2.9536, matching_score_pred. 2.9838, skate_ratio. 0.0493, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0625 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0157 (kps_fail_50cm (Loc. err)): 0.0018 (kps_mean_err(m) (Avg. err)): 0.0311 
ep/it:190-  29 niter: 72800  374m 6s (- 2578m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0521  acc: 0.5951  lr: 0.0000 
ep/it:190-  79 niter: 72850  374m 20s (- 2577m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4558  loss_TTT: 0.0561  acc: 0.5858  lr: 0.0000 
ep/it:190- 129 niter: 72900  374m 34s (- 2577m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0539  acc: 0.5936  lr: 0.0000 
ep/it:190- 179 niter: 72950  374m 48s (- 2576m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0508  acc: 0.5977  lr: 0.0000 
ep/it:190- 229 niter: 73000  375m 3s (- 2576m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.4332  loss_TTT: 0.0516  acc: 0.5914  lr: 0.0000 
ep/it:190- 279 niter: 73050  375m 17s (- 2576m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0544  acc: 0.5967  lr: 0.0000 
ep/it:190- 329 niter: 73100  375m 32s (- 2575m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.4563  loss_TTT: 0.0538  acc: 0.5849  lr: 0.0000 
ep/it:190- 379 niter: 73150  375m 46s (- 2575m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.4493  loss_TTT: 0.0555  acc: 0.5876  lr: 0.0000 
Validation loss:1.590, accuracy:0.566
ep/it:191-  46 niter: 73200  376m 3s (- 2575m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0534  acc: 0.5911  lr: 0.0000 
ep/it:191-  96 niter: 73250  376m 18s (- 2575m 1s) completed: 12%) loss_emb: 0.0000  loss: 1.4339  loss_TTT: 0.0529  acc: 0.5900  lr: 0.0000 
ep/it:191- 146 niter: 73300  376m 32s (- 2574m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0525  acc: 0.5919  lr: 0.0000 
ep/it:191- 196 niter: 73350  376m 47s (- 2574m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.4370  loss_TTT: 0.0515  acc: 0.5888  lr: 0.0000 
ep/it:191- 246 niter: 73400  377m 1s (- 2573m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0534  acc: 0.5982  lr: 0.0000 
ep/it:191- 296 niter: 73450  377m 16s (- 2573m 35s) completed: 12%) loss_emb: 0.0000  loss: 1.4277  loss_TTT: 0.0529  acc: 0.5912  lr: 0.0000 
ep/it:191- 346 niter: 73500  377m 30s (- 2573m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0538  acc: 0.5971  lr: 0.0000 
Validation loss:1.633, accuracy:0.558
ep/it:192-  13 niter: 73550  377m 47s (- 2573m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0524  acc: 0.5954  lr: 0.0000 
ep/it:192-  63 niter: 73600  378m 1s (- 2572m 43s) completed: 12%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0526  acc: 0.5900  lr: 0.0000 
ep/it:192- 113 niter: 73650  378m 16s (- 2572m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0520  acc: 0.5972  lr: 0.0000 
ep/it:192- 163 niter: 73700  378m 30s (- 2572m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0529  acc: 0.6037  lr: 0.0000 
ep/it:192- 213 niter: 73750  378m 45s (- 2571m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0544  acc: 0.5928  lr: 0.0000 
ep/it:192- 263 niter: 73800  378m 59s (- 2571m 15s) completed: 12%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0521  acc: 0.5976  lr: 0.0000 
ep/it:192- 313 niter: 73850  379m 13s (- 2570m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0515  acc: 0.5966  lr: 0.0000 
ep/it:192- 363 niter: 73900  379m 27s (- 2570m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0557  acc: 0.5925  lr: 0.0000 
Validation loss:1.613, accuracy:0.564
ep/it:193-  30 niter: 73950  379m 44s (- 2570m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0550  acc: 0.5972  lr: 0.0000 
ep/it:193-  80 niter: 74000  379m 59s (- 2570m 4s) completed: 12%) loss_emb: 0.0000  loss: 1.4556  loss_TTT: 0.0564  acc: 0.5853  lr: 0.0000 
ep/it:193- 130 niter: 74050  380m 13s (- 2569m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0534  acc: 0.5903  lr: 0.0000 
ep/it:193- 180 niter: 74100  380m 27s (- 2569m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.4450  loss_TTT: 0.0512  acc: 0.5861  lr: 0.0000 
ep/it:193- 230 niter: 74150  380m 42s (- 2568m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.4401  loss_TTT: 0.0546  acc: 0.5891  lr: 0.0000 
ep/it:193- 280 niter: 74200  380m 56s (- 2568m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0530  acc: 0.5952  lr: 0.0000 
ep/it:193- 330 niter: 74250  381m 10s (- 2568m 8s) completed: 12%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0538  acc: 0.5912  lr: 0.0000 
ep/it:193- 380 niter: 74300  381m 24s (- 2567m 45s) completed: 12%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0521  acc: 0.5916  lr: 0.0000 
Validation loss:1.669, accuracy:0.547
ep/it:194-  47 niter: 74350  381m 41s (- 2567m 40s) completed: 12%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0545  acc: 0.5953  lr: 0.0000 
ep/it:194-  97 niter: 74400  381m 55s (- 2567m 15s) completed: 12%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0530  acc: 0.5962  lr: 0.0000 
ep/it:194- 147 niter: 74450  382m 10s (- 2566m 54s) completed: 12%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0531  acc: 0.6021  lr: 0.0000 
ep/it:194- 197 niter: 74500  382m 25s (- 2566m 35s) completed: 12%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0513  acc: 0.5935  lr: 0.0000 
ep/it:194- 247 niter: 74550  382m 39s (- 2566m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.4245  loss_TTT: 0.0516  acc: 0.5924  lr: 0.0000 
ep/it:194- 297 niter: 74600  382m 53s (- 2565m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0532  acc: 0.5880  lr: 0.0000 
ep/it:194- 347 niter: 74650  383m 7s (- 2565m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0548  acc: 0.5950  lr: 0.0000 
Validation loss:1.621, accuracy:0.560
ep/it:195-  14 niter: 74700  383m 25s (- 2565m 21s) completed: 13%) loss_emb: 0.0000  loss: 1.4399  loss_TTT: 0.0541  acc: 0.5881  lr: 0.0000 
ep/it:195-  64 niter: 74750  383m 38s (- 2564m 55s) completed: 13%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0549  acc: 0.5978  lr: 0.0000 
ep/it:195- 114 niter: 74800  383m 53s (- 2564m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0540  acc: 0.5928  lr: 0.0000 
ep/it:195- 164 niter: 74850  384m 7s (- 2564m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0540  acc: 0.5969  lr: 0.0000 
ep/it:195- 214 niter: 74900  384m 21s (- 2563m 48s) completed: 13%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0543  acc: 0.5900  lr: 0.0000 
ep/it:195- 264 niter: 74950  384m 36s (- 2563m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0544  acc: 0.5955  lr: 0.0000 
ep/it:195- 314 niter: 75000  384m 51s (- 2563m 6s) completed: 13%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0560  acc: 0.5942  lr: 0.0000 
ep/it:195- 364 niter: 75050  385m 5s (- 2562m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0516  acc: 0.5962  lr: 0.0000 
Validation loss:1.615, accuracy:0.561
ep/it:196-  31 niter: 75100  385m 22s (- 2562m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0527  acc: 0.5881  lr: 0.0000 
ep/it:196-  81 niter: 75150  385m 37s (- 2562m 22s) completed: 13%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0536  acc: 0.5996  lr: 0.0000 
ep/it:196- 131 niter: 75200  385m 51s (- 2561m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0528  acc: 0.5957  lr: 0.0000 
ep/it:196- 181 niter: 75250  386m 6s (- 2561m 40s) completed: 13%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0526  acc: 0.5955  lr: 0.0000 
ep/it:196- 231 niter: 75300  386m 21s (- 2561m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0539  acc: 0.5889  lr: 0.0000 
ep/it:196- 281 niter: 75350  386m 35s (- 2560m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0554  acc: 0.5949  lr: 0.0000 
ep/it:196- 331 niter: 75400  386m 49s (- 2560m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0542  acc: 0.5975  lr: 0.0000 
ep/it:196- 381 niter: 75450  387m 3s (- 2560m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0540  acc: 0.5926  lr: 0.0000 
Validation loss:1.612, accuracy:0.564
ep/it:197-  48 niter: 75500  387m 21s (- 2560m 6s) completed: 13%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0543  acc: 0.5866  lr: 0.0000 
ep/it:197-  98 niter: 75550  387m 36s (- 2559m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0546  acc: 0.5942  lr: 0.0000 
ep/it:197- 148 niter: 75600  387m 51s (- 2559m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0526  acc: 0.5940  lr: 0.0000 
ep/it:197- 198 niter: 75650  388m 6s (- 2559m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0519  acc: 0.5994  lr: 0.0000 
ep/it:197- 248 niter: 75700  388m 20s (- 2558m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.4448  loss_TTT: 0.0534  acc: 0.5886  lr: 0.0000 
ep/it:197- 298 niter: 75750  388m 35s (- 2558m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0537  acc: 0.5982  lr: 0.0000 
ep/it:197- 348 niter: 75800  388m 49s (- 2558m 8s) completed: 13%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0529  acc: 0.6004  lr: 0.0000 
Validation loss:1.610, accuracy:0.566
ep/it:198-  15 niter: 75850  389m 6s (- 2558m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0525  acc: 0.5905  lr: 0.0000 
ep/it:198-  65 niter: 75900  389m 21s (- 2557m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0537  acc: 0.5935  lr: 0.0000 
ep/it:198- 115 niter: 75950  389m 35s (- 2557m 23s) completed: 13%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0541  acc: 0.6012  lr: 0.0000 
ep/it:198- 165 niter: 76000  389m 50s (- 2557m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.4431  loss_TTT: 0.0535  acc: 0.5885  lr: 0.0000 
ep/it:198- 215 niter: 76050  390m 5s (- 2556m 44s) completed: 13%) loss_emb: 0.0000  loss: 1.4190  loss_TTT: 0.0549  acc: 0.5936  lr: 0.0000 
ep/it:198- 265 niter: 76100  390m 19s (- 2556m 23s) completed: 13%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0515  acc: 0.5974  lr: 0.0000 
ep/it:198- 315 niter: 76150  390m 34s (- 2556m 4s) completed: 13%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0532  acc: 0.5928  lr: 0.0000 
ep/it:198- 365 niter: 76200  390m 49s (- 2555m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0512  acc: 0.5933  lr: 0.0000 
Validation loss:1.642, accuracy:0.555
ep/it:199-  32 niter: 76250  391m 7s (- 2555m 43s) completed: 13%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0510  acc: 0.6064  lr: 0.0000 
ep/it:199-  82 niter: 76300  391m 21s (- 2555m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0529  acc: 0.5993  lr: 0.0000 
ep/it:199- 132 niter: 76350  391m 35s (- 2555m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0529  acc: 0.5983  lr: 0.0000 
ep/it:199- 182 niter: 76400  391m 50s (- 2554m 39s) completed: 13%) loss_emb: 0.0000  loss: 1.4349  loss_TTT: 0.0542  acc: 0.5891  lr: 0.0000 
ep/it:199- 232 niter: 76450  392m 4s (- 2554m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0540  acc: 0.5947  lr: 0.0000 
ep/it:199- 282 niter: 76500  392m 19s (- 2553m 56s) completed: 13%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0520  acc: 0.5954  lr: 0.0000 
ep/it:199- 332 niter: 76550  392m 34s (- 2553m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.4251  loss_TTT: 0.0565  acc: 0.5927  lr: 0.0000 
ep/it:199- 382 niter: 76600  392m 48s (- 2553m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.4373  loss_TTT: 0.0503  acc: 0.5885  lr: 0.0000 
Validation loss:1.617, accuracy:0.559

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.63it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.43122512102127 avg: 38.43122512102127
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.76353008579463 avg: 38.59737760340795
--> 	 Eva. Repeat 0 :, FID. 0.0863, Diversity Real. 9.5072, Diversity. 9.6716, R_precision_real. [0.50878906 0.71777344 0.80566406], R_precision. [0.49902344 0.68652344 0.79296875], matching_score_real. 2.9149, matching_score_pred. 2.9934, skate_ratio. 0.0508, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0110 (kps_fail_50cm (Loc. err)): 0.0002 (kps_mean_err(m) (Avg. err)): 0.0288 
ep/it:200-  49 niter: 76650  394m 25s (- 2561m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0532  acc: 0.5875  lr: 0.0000 
ep/it:200-  99 niter: 76700  394m 39s (- 2561m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0524  acc: 0.5943  lr: 0.0000 
ep/it:200- 149 niter: 76750  394m 54s (- 2561m 5s) completed: 13%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0514  acc: 0.5948  lr: 0.0000 
ep/it:200- 199 niter: 76800  395m 8s (- 2560m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0558  acc: 0.5946  lr: 0.0000 
ep/it:200- 249 niter: 76850  395m 22s (- 2560m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0538  acc: 0.5904  lr: 0.0000 
ep/it:200- 299 niter: 76900  395m 37s (- 2559m 58s) completed: 13%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0529  acc: 0.5951  lr: 0.0000 
ep/it:200- 349 niter: 76950  395m 51s (- 2559m 35s) completed: 13%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0537  acc: 0.5973  lr: 0.0000 
Validation loss:1.624, accuracy:0.560
ep/it:201-  16 niter: 77000  396m 8s (- 2559m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0539  acc: 0.5939  lr: 0.0000 
ep/it:201-  66 niter: 77050  396m 23s (- 2559m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.4365  loss_TTT: 0.0520  acc: 0.5904  lr: 0.0000 
ep/it:201- 116 niter: 77100  396m 36s (- 2558m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0514  acc: 0.5903  lr: 0.0000 
ep/it:201- 166 niter: 77150  396m 50s (- 2558m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0518  acc: 0.5948  lr: 0.0000 
ep/it:201- 216 niter: 77200  397m 5s (- 2557m 55s) completed: 13%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0537  acc: 0.5976  lr: 0.0000 
ep/it:201- 266 niter: 77250  397m 19s (- 2557m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0509  acc: 0.6003  lr: 0.0000 
ep/it:201- 316 niter: 77300  397m 33s (- 2557m 6s) completed: 13%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0530  acc: 0.5910  lr: 0.0000 
ep/it:201- 366 niter: 77350  397m 47s (- 2556m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0518  acc: 0.5979  lr: 0.0000 
Validation loss:1.633, accuracy:0.560
ep/it:202-  33 niter: 77400  398m 4s (- 2556m 39s) completed: 13%) loss_emb: 0.0000  loss: 1.4227  loss_TTT: 0.0538  acc: 0.5940  lr: 0.0000 
ep/it:202-  83 niter: 77450  398m 19s (- 2556m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0516  acc: 0.5926  lr: 0.0000 
ep/it:202- 133 niter: 77500  398m 33s (- 2555m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0506  acc: 0.5981  lr: 0.0000 
ep/it:202- 183 niter: 77550  398m 48s (- 2555m 34s) completed: 13%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0521  acc: 0.5891  lr: 0.0000 
ep/it:202- 233 niter: 77600  399m 2s (- 2555m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0523  acc: 0.5978  lr: 0.0000 
ep/it:202- 283 niter: 77650  399m 17s (- 2554m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0539  acc: 0.5923  lr: 0.0000 
ep/it:202- 333 niter: 77700  399m 31s (- 2554m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4284  loss_TTT: 0.0519  acc: 0.5905  lr: 0.0000 
Validation loss:1.628, accuracy:0.558
ep/it:203-   0 niter: 77750  399m 49s (- 2554m 28s) completed: 13%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0544  acc: 0.5960  lr: 0.0000 
ep/it:203-  50 niter: 77800  400m 4s (- 2554m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.4342  loss_TTT: 0.0527  acc: 0.5898  lr: 0.0000 
ep/it:203- 100 niter: 77850  400m 18s (- 2553m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.4291  loss_TTT: 0.0529  acc: 0.5904  lr: 0.0000 
ep/it:203- 150 niter: 77900  400m 31s (- 2553m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0528  acc: 0.5972  lr: 0.0000 
ep/it:203- 200 niter: 77950  400m 45s (- 2552m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0532  acc: 0.5939  lr: 0.0000 
ep/it:203- 250 niter: 78000  401m 0s (- 2552m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0537  acc: 0.5928  lr: 0.0000 
ep/it:203- 300 niter: 78050  401m 13s (- 2552m 6s) completed: 13%) loss_emb: 0.0000  loss: 1.4339  loss_TTT: 0.0543  acc: 0.5906  lr: 0.0000 
ep/it:203- 350 niter: 78100  401m 27s (- 2551m 41s) completed: 13%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0524  acc: 0.5926  lr: 0.0000 
Validation loss:1.545, accuracy:0.579
Improved accuracy from 0.57 to 0.58 !!!
ep/it:204-  17 niter: 78150  401m 45s (- 2551m 37s) completed: 13%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0536  acc: 0.5962  lr: 0.0000 
ep/it:204-  67 niter: 78200  401m 59s (- 2551m 13s) completed: 13%) loss_emb: 0.0000  loss: 1.4129  loss_TTT: 0.0530  acc: 0.5955  lr: 0.0000 
ep/it:204- 117 niter: 78250  402m 13s (- 2550m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0532  acc: 0.5908  lr: 0.0000 
ep/it:204- 167 niter: 78300  402m 27s (- 2550m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0529  acc: 0.5981  lr: 0.0000 
ep/it:204- 217 niter: 78350  402m 41s (- 2550m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0546  acc: 0.5895  lr: 0.0000 
ep/it:204- 267 niter: 78400  402m 55s (- 2549m 40s) completed: 13%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0528  acc: 0.5940  lr: 0.0000 
ep/it:204- 317 niter: 78450  403m 10s (- 2549m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0543  acc: 0.5959  lr: 0.0000 
ep/it:204- 367 niter: 78500  403m 24s (- 2548m 55s) completed: 13%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0515  acc: 0.5905  lr: 0.0000 
Validation loss:1.607, accuracy:0.564
ep/it:205-  34 niter: 78550  403m 41s (- 2548m 51s) completed: 13%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0542  acc: 0.5971  lr: 0.0000 
ep/it:205-  84 niter: 78600  403m 56s (- 2548m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.4331  loss_TTT: 0.0521  acc: 0.5902  lr: 0.0000 
ep/it:205- 134 niter: 78650  404m 10s (- 2548m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0522  acc: 0.5945  lr: 0.0000 
ep/it:205- 184 niter: 78700  404m 24s (- 2547m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0530  acc: 0.5926  lr: 0.0000 
ep/it:205- 234 niter: 78750  404m 38s (- 2547m 18s) completed: 13%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0534  acc: 0.5967  lr: 0.0000 
ep/it:205- 284 niter: 78800  404m 52s (- 2546m 55s) completed: 13%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0527  acc: 0.5927  lr: 0.0000 
ep/it:205- 334 niter: 78850  405m 6s (- 2546m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0563  acc: 0.5919  lr: 0.0000 
Validation loss:1.611, accuracy:0.563
ep/it:206-   1 niter: 78900  405m 23s (- 2546m 22s) completed: 13%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0522  acc: 0.5959  lr: 0.0000 
ep/it:206-  51 niter: 78950  405m 37s (- 2546m 3s) completed: 13%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0529  acc: 0.5943  lr: 0.0000 
ep/it:206- 101 niter: 79000  405m 52s (- 2545m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0546  acc: 0.5922  lr: 0.0000 
ep/it:206- 151 niter: 79050  406m 7s (- 2545m 23s) completed: 13%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0545  acc: 0.5957  lr: 0.0000 
ep/it:206- 201 niter: 79100  406m 21s (- 2545m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0528  acc: 0.5962  lr: 0.0000 
ep/it:206- 251 niter: 79150  406m 35s (- 2544m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0512  acc: 0.5977  lr: 0.0000 
ep/it:206- 301 niter: 79200  406m 50s (- 2544m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0517  acc: 0.5935  lr: 0.0000 
ep/it:206- 351 niter: 79250  407m 5s (- 2543m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0526  acc: 0.5978  lr: 0.0000 
Validation loss:1.605, accuracy:0.565
ep/it:207-  18 niter: 79300  407m 22s (- 2543m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.4342  loss_TTT: 0.0544  acc: 0.5887  lr: 0.0000 
ep/it:207-  68 niter: 79350  407m 36s (- 2543m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0520  acc: 0.5959  lr: 0.0000 
ep/it:207- 118 niter: 79400  407m 50s (- 2543m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0533  acc: 0.6003  lr: 0.0000 
ep/it:207- 168 niter: 79450  408m 5s (- 2542m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0519  acc: 0.5926  lr: 0.0000 
ep/it:207- 218 niter: 79500  408m 19s (- 2542m 24s) completed: 13%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0539  acc: 0.5909  lr: 0.0000 
ep/it:207- 268 niter: 79550  408m 34s (- 2542m 3s) completed: 13%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0546  acc: 0.6010  lr: 0.0000 
ep/it:207- 318 niter: 79600  408m 48s (- 2541m 40s) completed: 13%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0523  acc: 0.5941  lr: 0.0000 
ep/it:207- 368 niter: 79650  409m 2s (- 2541m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0524  acc: 0.5943  lr: 0.0000 
Validation loss:1.630, accuracy:0.558
ep/it:208-  35 niter: 79700  409m 19s (- 2541m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0534  acc: 0.6049  lr: 0.0000 
ep/it:208-  85 niter: 79750  409m 33s (- 2540m 48s) completed: 13%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0537  acc: 0.5932  lr: 0.0000 
ep/it:208- 135 niter: 79800  409m 47s (- 2540m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0524  acc: 0.6056  lr: 0.0000 
ep/it:208- 185 niter: 79850  410m 2s (- 2540m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0509  acc: 0.5974  lr: 0.0000 
ep/it:208- 235 niter: 79900  410m 17s (- 2539m 46s) completed: 13%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0527  acc: 0.5957  lr: 0.0000 
ep/it:208- 285 niter: 79950  410m 31s (- 2539m 24s) completed: 13%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0530  acc: 0.5958  lr: 0.0000 
ep/it:208- 335 niter: 80000  410m 46s (- 2539m 3s) completed: 13%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0523  acc: 0.5915  lr: 0.0000 
Validation loss:1.635, accuracy:0.556
ep/it:209-   2 niter: 80050  411m 3s (- 2539m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0529  acc: 0.5945  lr: 0.0000 
ep/it:209-  52 niter: 80100  411m 17s (- 2538m 39s) completed: 13%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0526  acc: 0.5896  lr: 0.0000 
ep/it:209- 102 niter: 80150  411m 32s (- 2538m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0518  acc: 0.5945  lr: 0.0000 
ep/it:209- 152 niter: 80200  411m 47s (- 2538m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0527  acc: 0.5955  lr: 0.0000 
ep/it:209- 202 niter: 80250  412m 1s (- 2537m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0527  acc: 0.6042  lr: 0.0000 
ep/it:209- 252 niter: 80300  412m 16s (- 2537m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0539  acc: 0.5982  lr: 0.0000 
ep/it:209- 302 niter: 80350  412m 31s (- 2536m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0516  acc: 0.5987  lr: 0.0000 
ep/it:209- 352 niter: 80400  412m 45s (- 2536m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0516  acc: 0.5954  lr: 0.0000 
Validation loss:1.608, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.95it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.49s/it]
100%|██████████| 47/47 [01:19<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.44427234493196 avg: 38.44427234493196
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.63185069616884 avg: 39.0380615205504
--> 	 Eva. Repeat 0 :, FID. 0.1161, Diversity Real. 9.4818, Diversity. 9.5178, R_precision_real. [0.5        0.69824219 0.78515625], R_precision. [0.49023438 0.68945312 0.78808594], matching_score_real. 2.9369, matching_score_pred. 2.9820, skate_ratio. 0.0473, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0723 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0113 (kps_fail_50cm (Loc. err)): 0.0003 (kps_mean_err(m) (Avg. err)): 0.0294 
ep/it:210-  19 niter: 80450  414m 22s (- 2544m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0569  acc: 0.5941  lr: 0.0000 
ep/it:210-  69 niter: 80500  414m 36s (- 2544m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.4633  loss_TTT: 0.0516  acc: 0.5822  lr: 0.0000 
ep/it:210- 119 niter: 80550  414m 51s (- 2544m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0550  acc: 0.5959  lr: 0.0000 
ep/it:210- 169 niter: 80600  415m 6s (- 2543m 43s) completed: 14%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0530  acc: 0.5988  lr: 0.0000 
ep/it:210- 219 niter: 80650  415m 21s (- 2543m 25s) completed: 14%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0516  acc: 0.5940  lr: 0.0000 
ep/it:210- 269 niter: 80700  415m 36s (- 2543m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0514  acc: 0.5910  lr: 0.0000 
ep/it:210- 319 niter: 80750  415m 51s (- 2542m 44s) completed: 14%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0526  acc: 0.5969  lr: 0.0000 
ep/it:210- 369 niter: 80800  416m 5s (- 2542m 25s) completed: 14%) loss_emb: 0.0000  loss: 1.4383  loss_TTT: 0.0573  acc: 0.5906  lr: 0.0000 
Validation loss:1.589, accuracy:0.569
ep/it:211-  36 niter: 80850  416m 23s (- 2542m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0523  acc: 0.6018  lr: 0.0000 
ep/it:211-  86 niter: 80900  416m 37s (- 2541m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0519  acc: 0.5919  lr: 0.0000 
ep/it:211- 136 niter: 80950  416m 51s (- 2541m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0533  acc: 0.5933  lr: 0.0000 
ep/it:211- 186 niter: 81000  417m 5s (- 2541m 13s) completed: 14%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0516  acc: 0.5943  lr: 0.0000 
ep/it:211- 236 niter: 81050  417m 20s (- 2540m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0507  acc: 0.5920  lr: 0.0000 
ep/it:211- 286 niter: 81100  417m 34s (- 2540m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0527  acc: 0.5957  lr: 0.0000 
ep/it:211- 336 niter: 81150  417m 49s (- 2540m 7s) completed: 14%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0541  acc: 0.5913  lr: 0.0000 
Validation loss:1.631, accuracy:0.556
ep/it:212-   3 niter: 81200  418m 5s (- 2539m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0536  acc: 0.5873  lr: 0.0000 
ep/it:212-  53 niter: 81250  418m 20s (- 2539m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0546  acc: 0.5919  lr: 0.0000 
ep/it:212- 103 niter: 81300  418m 35s (- 2539m 21s) completed: 14%) loss_emb: 0.0000  loss: 1.4351  loss_TTT: 0.0539  acc: 0.5907  lr: 0.0000 
ep/it:212- 153 niter: 81350  418m 49s (- 2538m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.4247  loss_TTT: 0.0515  acc: 0.5913  lr: 0.0000 
ep/it:212- 203 niter: 81400  419m 4s (- 2538m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0528  acc: 0.5939  lr: 0.0000 
ep/it:212- 253 niter: 81450  419m 18s (- 2538m 13s) completed: 14%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0539  acc: 0.5935  lr: 0.0000 
ep/it:212- 303 niter: 81500  419m 32s (- 2537m 48s) completed: 14%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0504  acc: 0.5962  lr: 0.0000 
ep/it:212- 353 niter: 81550  419m 46s (- 2537m 26s) completed: 14%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0539  acc: 0.5963  lr: 0.0000 
Validation loss:1.615, accuracy:0.561
ep/it:213-  20 niter: 81600  420m 3s (- 2537m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0526  acc: 0.5930  lr: 0.0000 
ep/it:213-  70 niter: 81650  420m 17s (- 2536m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0533  acc: 0.5927  lr: 0.0000 
ep/it:213- 120 niter: 81700  420m 32s (- 2536m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0548  acc: 0.5948  lr: 0.0000 
ep/it:213- 170 niter: 81750  420m 46s (- 2536m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0529  acc: 0.5999  lr: 0.0000 
ep/it:213- 220 niter: 81800  421m 0s (- 2535m 52s) completed: 14%) loss_emb: 0.0000  loss: 1.4374  loss_TTT: 0.0511  acc: 0.5877  lr: 0.0000 
ep/it:213- 270 niter: 81850  421m 15s (- 2535m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0516  acc: 0.5982  lr: 0.0000 
ep/it:213- 320 niter: 81900  421m 29s (- 2535m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0529  acc: 0.5909  lr: 0.0000 
ep/it:213- 370 niter: 81950  421m 44s (- 2534m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0518  acc: 0.5932  lr: 0.0000 
Validation loss:1.637, accuracy:0.556
ep/it:214-  37 niter: 82000  422m 0s (- 2534m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0513  acc: 0.5953  lr: 0.0000 
ep/it:214-  87 niter: 82050  422m 15s (- 2534m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0517  acc: 0.5823  lr: 0.0000 
ep/it:214- 137 niter: 82100  422m 29s (- 2533m 55s) completed: 14%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0520  acc: 0.5981  lr: 0.0000 
ep/it:214- 187 niter: 82150  422m 43s (- 2533m 32s) completed: 14%) loss_emb: 0.0000  loss: 1.4350  loss_TTT: 0.0547  acc: 0.5890  lr: 0.0000 
ep/it:214- 237 niter: 82200  422m 58s (- 2533m 10s) completed: 14%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0537  acc: 0.5982  lr: 0.0000 
ep/it:214- 287 niter: 82250  423m 12s (- 2532m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0544  acc: 0.6000  lr: 0.0000 
ep/it:214- 337 niter: 82300  423m 27s (- 2532m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0531  acc: 0.5912  lr: 0.0000 
Validation loss:1.651, accuracy:0.553
ep/it:215-   4 niter: 82350  423m 44s (- 2532m 26s) completed: 14%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0522  acc: 0.5994  lr: 0.0000 
ep/it:215-  54 niter: 82400  423m 59s (- 2532m 4s) completed: 14%) loss_emb: 0.0000  loss: 1.4283  loss_TTT: 0.0539  acc: 0.5918  lr: 0.0000 
ep/it:215- 104 niter: 82450  424m 13s (- 2531m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0534  acc: 0.5912  lr: 0.0000 
ep/it:215- 154 niter: 82500  424m 27s (- 2531m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0525  acc: 0.5974  lr: 0.0000 
ep/it:215- 204 niter: 82550  424m 41s (- 2530m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0521  acc: 0.5926  lr: 0.0000 
ep/it:215- 254 niter: 82600  424m 55s (- 2530m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0532  acc: 0.5966  lr: 0.0000 
ep/it:215- 304 niter: 82650  425m 10s (- 2530m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0532  acc: 0.5998  lr: 0.0000 
ep/it:215- 354 niter: 82700  425m 25s (- 2529m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0539  acc: 0.5927  lr: 0.0000 
Validation loss:1.582, accuracy:0.572
ep/it:216-  21 niter: 82750  425m 42s (- 2529m 48s) completed: 14%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0541  acc: 0.5959  lr: 0.0000 
ep/it:216-  71 niter: 82800  425m 56s (- 2529m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0538  acc: 0.5954  lr: 0.0000 
ep/it:216- 121 niter: 82850  426m 10s (- 2529m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0533  acc: 0.6003  lr: 0.0000 
ep/it:216- 171 niter: 82900  426m 25s (- 2528m 42s) completed: 14%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0520  acc: 0.5866  lr: 0.0000 
ep/it:216- 221 niter: 82950  426m 39s (- 2528m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0533  acc: 0.5937  lr: 0.0000 
ep/it:216- 271 niter: 83000  426m 54s (- 2527m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4493  loss_TTT: 0.0538  acc: 0.5862  lr: 0.0000 
ep/it:216- 321 niter: 83050  427m 9s (- 2527m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0529  acc: 0.5912  lr: 0.0000 
ep/it:216- 371 niter: 83100  427m 23s (- 2527m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.4223  loss_TTT: 0.0546  acc: 0.5919  lr: 0.0000 
Validation loss:1.604, accuracy:0.564
ep/it:217-  38 niter: 83150  427m 40s (- 2527m 12s) completed: 14%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0543  acc: 0.5893  lr: 0.0000 
ep/it:217-  88 niter: 83200  427m 55s (- 2526m 52s) completed: 14%) loss_emb: 0.0000  loss: 1.4413  loss_TTT: 0.0519  acc: 0.5876  lr: 0.0000 
ep/it:217- 138 niter: 83250  428m 9s (- 2526m 28s) completed: 14%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0524  acc: 0.5959  lr: 0.0000 
ep/it:217- 188 niter: 83300  428m 23s (- 2526m 5s) completed: 14%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0521  acc: 0.5910  lr: 0.0000 
ep/it:217- 238 niter: 83350  428m 37s (- 2525m 43s) completed: 14%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0529  acc: 0.5965  lr: 0.0000 
ep/it:217- 288 niter: 83400  428m 51s (- 2525m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0530  acc: 0.5946  lr: 0.0000 
ep/it:217- 338 niter: 83450  429m 5s (- 2524m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0523  acc: 0.5943  lr: 0.0000 
Validation loss:1.628, accuracy:0.558
ep/it:218-   5 niter: 83500  429m 22s (- 2524m 49s) completed: 14%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0506  acc: 0.5924  lr: 0.0000 
ep/it:218-  55 niter: 83550  429m 37s (- 2524m 31s) completed: 14%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0534  acc: 0.5933  lr: 0.0000 
ep/it:218- 105 niter: 83600  429m 51s (- 2524m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0515  acc: 0.5990  lr: 0.0000 
ep/it:218- 155 niter: 83650  430m 6s (- 2523m 49s) completed: 14%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0534  acc: 0.6009  lr: 0.0000 
ep/it:218- 205 niter: 83700  430m 20s (- 2523m 26s) completed: 14%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0539  acc: 0.5914  lr: 0.0000 
ep/it:218- 255 niter: 83750  430m 34s (- 2523m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.4456  loss_TTT: 0.0532  acc: 0.5868  lr: 0.0000 
ep/it:218- 305 niter: 83800  430m 48s (- 2522m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.4384  loss_TTT: 0.0553  acc: 0.5880  lr: 0.0000 
ep/it:218- 355 niter: 83850  431m 2s (- 2522m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0526  acc: 0.5940  lr: 0.0000 
Validation loss:1.633, accuracy:0.557
ep/it:219-  22 niter: 83900  431m 19s (- 2522m 6s) completed: 14%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0537  acc: 0.5949  lr: 0.0000 
ep/it:219-  72 niter: 83950  431m 33s (- 2521m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0525  acc: 0.5970  lr: 0.0000 
ep/it:219- 122 niter: 84000  431m 47s (- 2521m 23s) completed: 14%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0517  acc: 0.5929  lr: 0.0000 
ep/it:219- 172 niter: 84050  432m 1s (- 2521m 0s) completed: 14%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0507  acc: 0.5920  lr: 0.0000 
ep/it:219- 222 niter: 84100  432m 16s (- 2520m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.4350  loss_TTT: 0.0535  acc: 0.5894  lr: 0.0000 
ep/it:219- 272 niter: 84150  432m 31s (- 2520m 21s) completed: 14%) loss_emb: 0.0000  loss: 1.4156  loss_TTT: 0.0544  acc: 0.5955  lr: 0.0000 
ep/it:219- 322 niter: 84200  432m 45s (- 2520m 0s) completed: 14%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0537  acc: 0.5980  lr: 0.0000 
ep/it:219- 372 niter: 84250  433m 0s (- 2519m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0528  acc: 0.5939  lr: 0.0000 
Validation loss:1.626, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.00it/s]
 34%|███▍      | 16/47 [00:40<01:19,  2.56s/it]
 68%|██████▊   | 32/47 [01:20<00:37,  2.52s/it]
100%|██████████| 47/47 [01:20<00:00,  1.71s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.69525822997093 avg: 39.69525822997093
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.73134127352387 avg: 39.7132997517474
--> 	 Eva. Repeat 0 :, FID. 0.1116, Diversity Real. 9.2772, Diversity. 9.1412, R_precision_real. [0.53125    0.70996094 0.81054688], R_precision. [0.52539062 0.70996094 0.80664062], matching_score_real. 2.8760, matching_score_pred. 2.9299, skate_ratio. 0.0482, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0635 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0144 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0301 
ep/it:220-  39 niter: 84300  434m 38s (- 2527m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0525  acc: 0.5922  lr: 0.0000 
ep/it:220-  89 niter: 84350  434m 52s (- 2527m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0511  acc: 0.6001  lr: 0.0000 
ep/it:220- 139 niter: 84400  435m 7s (- 2526m 43s) completed: 14%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0544  acc: 0.5939  lr: 0.0000 
ep/it:220- 189 niter: 84450  435m 22s (- 2526m 21s) completed: 14%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0533  acc: 0.5988  lr: 0.0000 
ep/it:220- 239 niter: 84500  435m 36s (- 2525m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0523  acc: 0.6017  lr: 0.0000 
ep/it:220- 289 niter: 84550  435m 50s (- 2525m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0520  acc: 0.5965  lr: 0.0000 
ep/it:220- 339 niter: 84600  436m 5s (- 2525m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0515  acc: 0.6019  lr: 0.0000 
Validation loss:1.601, accuracy:0.565
ep/it:221-   6 niter: 84650  436m 21s (- 2525m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.4327  loss_TTT: 0.0544  acc: 0.5894  lr: 0.0000 
ep/it:221-  56 niter: 84700  436m 36s (- 2524m 49s) completed: 14%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0536  acc: 0.5944  lr: 0.0000 
ep/it:221- 106 niter: 84750  436m 50s (- 2524m 25s) completed: 14%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0506  acc: 0.5926  lr: 0.0000 
ep/it:221- 156 niter: 84800  437m 4s (- 2524m 1s) completed: 14%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0515  acc: 0.6063  lr: 0.0000 
ep/it:221- 206 niter: 84850  437m 18s (- 2523m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0545  acc: 0.5932  lr: 0.0000 
ep/it:221- 256 niter: 84900  437m 33s (- 2523m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0533  acc: 0.5998  lr: 0.0000 
ep/it:221- 306 niter: 84950  437m 48s (- 2522m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0519  acc: 0.5935  lr: 0.0000 
ep/it:221- 356 niter: 85000  438m 2s (- 2522m 34s) completed: 14%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0521  acc: 0.5926  lr: 0.0000 
Validation loss:1.587, accuracy:0.568
ep/it:222-  23 niter: 85050  438m 19s (- 2522m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0520  acc: 0.5965  lr: 0.0000 
ep/it:222-  73 niter: 85100  438m 34s (- 2522m 8s) completed: 14%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0515  acc: 0.6011  lr: 0.0000 
ep/it:222- 123 niter: 85150  438m 48s (- 2521m 47s) completed: 14%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0523  acc: 0.6039  lr: 0.0000 
ep/it:222- 173 niter: 85200  439m 3s (- 2521m 26s) completed: 14%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0542  acc: 0.5967  lr: 0.0000 
ep/it:222- 223 niter: 85250  439m 17s (- 2521m 5s) completed: 14%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0543  acc: 0.5927  lr: 0.0000 
ep/it:222- 273 niter: 85300  439m 32s (- 2520m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.4661  loss_TTT: 0.0519  acc: 0.5804  lr: 0.0000 
ep/it:222- 323 niter: 85350  439m 46s (- 2520m 25s) completed: 14%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0545  acc: 0.5930  lr: 0.0000 
ep/it:222- 373 niter: 85400  440m 0s (- 2520m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0522  acc: 0.5985  lr: 0.0000 
Validation loss:1.604, accuracy:0.563
ep/it:223-  40 niter: 85450  440m 17s (- 2519m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0518  acc: 0.5955  lr: 0.0000 
ep/it:223-  90 niter: 85500  440m 32s (- 2519m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0538  acc: 0.5902  lr: 0.0000 
ep/it:223- 140 niter: 85550  440m 47s (- 2519m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0513  acc: 0.5969  lr: 0.0000 
ep/it:223- 190 niter: 85600  441m 1s (- 2518m 55s) completed: 14%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0541  acc: 0.5976  lr: 0.0000 
ep/it:223- 240 niter: 85650  441m 16s (- 2518m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0539  acc: 0.5969  lr: 0.0000 
ep/it:223- 290 niter: 85700  441m 30s (- 2518m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0505  acc: 0.5955  lr: 0.0000 
ep/it:223- 340 niter: 85750  441m 45s (- 2517m 52s) completed: 14%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0525  acc: 0.5948  lr: 0.0000 
Validation loss:1.655, accuracy:0.553
ep/it:224-   7 niter: 85800  442m 2s (- 2517m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0530  acc: 0.5989  lr: 0.0000 
ep/it:224-  57 niter: 85850  442m 16s (- 2517m 25s) completed: 14%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0532  acc: 0.5933  lr: 0.0000 
ep/it:224- 107 niter: 85900  442m 31s (- 2517m 4s) completed: 14%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0529  acc: 0.5899  lr: 0.0000 
ep/it:224- 157 niter: 85950  442m 45s (- 2516m 41s) completed: 14%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0556  acc: 0.5940  lr: 0.0000 
ep/it:224- 207 niter: 86000  442m 59s (- 2516m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0541  acc: 0.5957  lr: 0.0000 
ep/it:224- 257 niter: 86050  443m 14s (- 2516m 1s) completed: 14%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0511  acc: 0.5949  lr: 0.0000 
ep/it:224- 307 niter: 86100  443m 29s (- 2515m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0529  acc: 0.5931  lr: 0.0000 
ep/it:224- 357 niter: 86150  443m 43s (- 2515m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0536  acc: 0.5922  lr: 0.0000 
Validation loss:1.587, accuracy:0.567
ep/it:225-  24 niter: 86200  444m 0s (- 2515m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0532  acc: 0.5924  lr: 0.0000 
ep/it:225-  74 niter: 86250  444m 15s (- 2514m 51s) completed: 15%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0498  acc: 0.5940  lr: 0.0000 
ep/it:225- 124 niter: 86300  444m 29s (- 2514m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0518  acc: 0.5885  lr: 0.0000 
ep/it:225- 174 niter: 86350  444m 44s (- 2514m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0531  acc: 0.5887  lr: 0.0000 
ep/it:225- 224 niter: 86400  444m 58s (- 2513m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0529  acc: 0.6035  lr: 0.0000 
ep/it:225- 274 niter: 86450  445m 13s (- 2513m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0513  acc: 0.6104  lr: 0.0000 
ep/it:225- 324 niter: 86500  445m 27s (- 2513m 6s) completed: 15%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0534  acc: 0.5980  lr: 0.0000 
ep/it:225- 374 niter: 86550  445m 42s (- 2512m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0557  acc: 0.5957  lr: 0.0000 
Validation loss:1.577, accuracy:0.569
ep/it:226-  41 niter: 86600  445m 59s (- 2512m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.4515  loss_TTT: 0.0548  acc: 0.5861  lr: 0.0000 
ep/it:226-  91 niter: 86650  446m 14s (- 2512m 21s) completed: 15%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0521  acc: 0.6010  lr: 0.0000 
ep/it:226- 141 niter: 86700  446m 28s (- 2512m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0545  acc: 0.5934  lr: 0.0000 
ep/it:226- 191 niter: 86750  446m 42s (- 2511m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0525  acc: 0.5952  lr: 0.0000 
ep/it:226- 241 niter: 86800  446m 57s (- 2511m 17s) completed: 15%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0524  acc: 0.5947  lr: 0.0000 
ep/it:226- 291 niter: 86850  447m 11s (- 2510m 56s) completed: 15%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0523  acc: 0.5930  lr: 0.0000 
ep/it:226- 341 niter: 86900  447m 25s (- 2510m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0547  acc: 0.5933  lr: 0.0000 
Validation loss:1.593, accuracy:0.570
ep/it:227-   8 niter: 86950  447m 42s (- 2510m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0520  acc: 0.5960  lr: 0.0000 
ep/it:227-  58 niter: 87000  447m 56s (- 2509m 59s) completed: 15%) loss_emb: 0.0000  loss: 1.4362  loss_TTT: 0.0537  acc: 0.5882  lr: 0.0000 
ep/it:227- 108 niter: 87050  448m 11s (- 2509m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0529  acc: 0.5912  lr: 0.0000 
ep/it:227- 158 niter: 87100  448m 25s (- 2509m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0527  acc: 0.5941  lr: 0.0000 
ep/it:227- 208 niter: 87150  448m 40s (- 2509m 1s) completed: 15%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0543  acc: 0.5937  lr: 0.0000 
ep/it:227- 258 niter: 87200  448m 54s (- 2508m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0529  acc: 0.5998  lr: 0.0000 
ep/it:227- 308 niter: 87250  449m 9s (- 2508m 20s) completed: 15%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0511  acc: 0.5929  lr: 0.0000 
ep/it:227- 358 niter: 87300  449m 24s (- 2507m 59s) completed: 15%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0523  acc: 0.6019  lr: 0.0000 
Validation loss:1.588, accuracy:0.569
ep/it:228-  25 niter: 87350  449m 40s (- 2507m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.4350  loss_TTT: 0.0525  acc: 0.5897  lr: 0.0000 
ep/it:228-  75 niter: 87400  449m 55s (- 2507m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0503  acc: 0.5937  lr: 0.0000 
ep/it:228- 125 niter: 87450  450m 10s (- 2507m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0511  acc: 0.5995  lr: 0.0000 
ep/it:228- 175 niter: 87500  450m 24s (- 2506m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.4266  loss_TTT: 0.0538  acc: 0.5917  lr: 0.0000 
ep/it:228- 225 niter: 87550  450m 39s (- 2506m 31s) completed: 15%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0527  acc: 0.6032  lr: 0.0000 
ep/it:228- 275 niter: 87600  450m 54s (- 2506m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0528  acc: 0.5914  lr: 0.0000 
ep/it:228- 325 niter: 87650  451m 8s (- 2505m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0521  acc: 0.5976  lr: 0.0000 
ep/it:228- 375 niter: 87700  451m 22s (- 2505m 27s) completed: 15%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0535  acc: 0.6010  lr: 0.0000 
Validation loss:1.614, accuracy:0.562
ep/it:229-  42 niter: 87750  451m 39s (- 2505m 18s) completed: 15%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0535  acc: 0.5965  lr: 0.0000 
ep/it:229-  92 niter: 87800  451m 53s (- 2504m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0515  acc: 0.5961  lr: 0.0000 
ep/it:229- 142 niter: 87850  452m 7s (- 2504m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0557  acc: 0.5936  lr: 0.0000 
ep/it:229- 192 niter: 87900  452m 22s (- 2504m 15s) completed: 15%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0524  acc: 0.5994  lr: 0.0000 
ep/it:229- 242 niter: 87950  452m 36s (- 2503m 52s) completed: 15%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0545  acc: 0.5961  lr: 0.0000 
ep/it:229- 292 niter: 88000  452m 50s (- 2503m 31s) completed: 15%) loss_emb: 0.0000  loss: 1.4336  loss_TTT: 0.0511  acc: 0.5876  lr: 0.0000 
ep/it:229- 342 niter: 88050  453m 5s (- 2503m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0528  acc: 0.5880  lr: 0.0000 
Validation loss:1.632, accuracy:0.557

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.86it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.90544236265123 avg: 38.90544236265123
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.64001454692334 avg: 38.772728454787284
--> 	 Eva. Repeat 0 :, FID. 0.1153, Diversity Real. 9.5198, Diversity. 9.6198, R_precision_real. [0.50097656 0.69726562 0.79980469], R_precision. [0.50488281 0.70703125 0.79980469], matching_score_real. 2.9322, matching_score_pred. 2.9936, skate_ratio. 0.0497, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0645 (traj_fail_50cm (Traj err)): 0.0117 (kps_fail_20cm): 0.0111 (kps_fail_50cm (Loc. err)): 0.0013 (kps_mean_err(m) (Avg. err)): 0.0294 
ep/it:230-   9 niter: 88100  454m 41s (- 2510m 20s) completed: 15%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0542  acc: 0.5928  lr: 0.0000 
ep/it:230-  59 niter: 88150  454m 55s (- 2510m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0513  acc: 0.5915  lr: 0.0000 
ep/it:230- 109 niter: 88200  455m 10s (- 2509m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0513  acc: 0.5970  lr: 0.0000 
ep/it:230- 159 niter: 88250  455m 25s (- 2509m 20s) completed: 15%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0514  acc: 0.5937  lr: 0.0000 
ep/it:230- 209 niter: 88300  455m 39s (- 2508m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0535  acc: 0.5957  lr: 0.0000 
ep/it:230- 259 niter: 88350  455m 53s (- 2508m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.4420  loss_TTT: 0.0529  acc: 0.5883  lr: 0.0000 
ep/it:230- 309 niter: 88400  456m 7s (- 2508m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0548  acc: 0.5927  lr: 0.0000 
ep/it:230- 359 niter: 88450  456m 22s (- 2507m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0519  acc: 0.5958  lr: 0.0000 
Validation loss:1.583, accuracy:0.568
ep/it:231-  26 niter: 88500  456m 39s (- 2507m 43s) completed: 15%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0530  acc: 0.5945  lr: 0.0000 
ep/it:231-  76 niter: 88550  456m 53s (- 2507m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0531  acc: 0.5922  lr: 0.0000 
ep/it:231- 126 niter: 88600  457m 8s (- 2507m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0520  acc: 0.5934  lr: 0.0000 
ep/it:231- 176 niter: 88650  457m 22s (- 2506m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0516  acc: 0.6056  lr: 0.0000 
ep/it:231- 226 niter: 88700  457m 36s (- 2506m 15s) completed: 15%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0516  acc: 0.6048  lr: 0.0000 
ep/it:231- 276 niter: 88750  457m 50s (- 2505m 54s) completed: 15%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0512  acc: 0.5975  lr: 0.0000 
ep/it:231- 326 niter: 88800  458m 5s (- 2505m 33s) completed: 15%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0516  acc: 0.5954  lr: 0.0000 
ep/it:231- 376 niter: 88850  458m 19s (- 2505m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0545  acc: 0.5939  lr: 0.0000 
Validation loss:1.619, accuracy:0.560
ep/it:232-  43 niter: 88900  458m 36s (- 2505m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0532  acc: 0.5993  lr: 0.0000 
ep/it:232-  93 niter: 88950  458m 51s (- 2504m 43s) completed: 15%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0532  acc: 0.5918  lr: 0.0000 
ep/it:232- 143 niter: 89000  459m 5s (- 2504m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0546  acc: 0.5940  lr: 0.0000 
ep/it:232- 193 niter: 89050  459m 20s (- 2504m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0538  acc: 0.5936  lr: 0.0000 
ep/it:232- 243 niter: 89100  459m 34s (- 2503m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.4444  loss_TTT: 0.0531  acc: 0.5869  lr: 0.0000 
ep/it:232- 293 niter: 89150  459m 48s (- 2503m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0520  acc: 0.5930  lr: 0.0000 
ep/it:232- 343 niter: 89200  460m 3s (- 2503m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0524  acc: 0.5976  lr: 0.0000 
Validation loss:1.593, accuracy:0.568
ep/it:233-  10 niter: 89250  460m 21s (- 2502m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0504  acc: 0.6001  lr: 0.0000 
ep/it:233-  60 niter: 89300  460m 35s (- 2502m 34s) completed: 15%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0545  acc: 0.5901  lr: 0.0000 
ep/it:233- 110 niter: 89350  460m 49s (- 2502m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0514  acc: 0.5957  lr: 0.0000 
ep/it:233- 160 niter: 89400  461m 4s (- 2501m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0540  acc: 0.6020  lr: 0.0000 
ep/it:233- 210 niter: 89450  461m 18s (- 2501m 31s) completed: 15%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0522  acc: 0.5920  lr: 0.0000 
ep/it:233- 260 niter: 89500  461m 33s (- 2501m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0521  acc: 0.5889  lr: 0.0000 
ep/it:233- 310 niter: 89550  461m 47s (- 2500m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0528  acc: 0.5957  lr: 0.0000 
ep/it:233- 360 niter: 89600  462m 2s (- 2500m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0533  acc: 0.5990  lr: 0.0000 
Validation loss:1.626, accuracy:0.559
ep/it:234-  27 niter: 89650  462m 18s (- 2500m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0522  acc: 0.5874  lr: 0.0000 
ep/it:234-  77 niter: 89700  462m 33s (- 2499m 59s) completed: 15%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0536  acc: 0.5937  lr: 0.0000 
ep/it:234- 127 niter: 89750  462m 47s (- 2499m 37s) completed: 15%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0536  acc: 0.5943  lr: 0.0000 
ep/it:234- 177 niter: 89800  463m 2s (- 2499m 16s) completed: 15%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0503  acc: 0.5993  lr: 0.0000 
ep/it:234- 227 niter: 89850  463m 16s (- 2498m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0544  acc: 0.5935  lr: 0.0000 
ep/it:234- 277 niter: 89900  463m 30s (- 2498m 31s) completed: 15%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0523  acc: 0.5873  lr: 0.0000 
ep/it:234- 327 niter: 89950  463m 44s (- 2498m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0517  acc: 0.5906  lr: 0.0000 
ep/it:234- 377 niter: 90000  463m 58s (- 2497m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.4346  loss_TTT: 0.0532  acc: 0.5888  lr: 0.0000 
Validation loss:1.633, accuracy:0.557
ep/it:235-  44 niter: 90050  464m 16s (- 2497m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0524  acc: 0.5941  lr: 0.0000 
ep/it:235-  94 niter: 90100  464m 30s (- 2497m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0533  acc: 0.5921  lr: 0.0000 
ep/it:235- 144 niter: 90150  464m 45s (- 2496m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0517  acc: 0.5970  lr: 0.0000 
ep/it:235- 194 niter: 90200  464m 59s (- 2496m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.4259  loss_TTT: 0.0520  acc: 0.5916  lr: 0.0000 
ep/it:235- 244 niter: 90250  465m 13s (- 2496m 15s) completed: 15%) loss_emb: 0.0000  loss: 1.4296  loss_TTT: 0.0528  acc: 0.5905  lr: 0.0000 
ep/it:235- 294 niter: 90300  465m 27s (- 2495m 53s) completed: 15%) loss_emb: 0.0000  loss: 1.4379  loss_TTT: 0.0519  acc: 0.5891  lr: 0.0000 
ep/it:235- 344 niter: 90350  465m 42s (- 2495m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0521  acc: 0.5975  lr: 0.0000 
Validation loss:1.628, accuracy:0.556
ep/it:236-  11 niter: 90400  465m 58s (- 2495m 20s) completed: 15%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0532  acc: 0.5942  lr: 0.0000 
ep/it:236-  61 niter: 90450  466m 13s (- 2495m 1s) completed: 15%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0535  acc: 0.5972  lr: 0.0000 
ep/it:236- 111 niter: 90500  466m 27s (- 2494m 37s) completed: 15%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0520  acc: 0.5961  lr: 0.0000 
ep/it:236- 161 niter: 90550  466m 41s (- 2494m 17s) completed: 15%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0540  acc: 0.5920  lr: 0.0000 
ep/it:236- 211 niter: 90600  466m 56s (- 2493m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0506  acc: 0.5985  lr: 0.0000 
ep/it:236- 261 niter: 90650  467m 10s (- 2493m 34s) completed: 15%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0526  acc: 0.5916  lr: 0.0000 
ep/it:236- 311 niter: 90700  467m 24s (- 2493m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0539  acc: 0.5915  lr: 0.0000 
ep/it:236- 361 niter: 90750  467m 39s (- 2492m 52s) completed: 15%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0509  acc: 0.5987  lr: 0.0000 
Validation loss:1.594, accuracy:0.567
ep/it:237-  28 niter: 90800  467m 56s (- 2492m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0532  acc: 0.5897  lr: 0.0000 
ep/it:237-  78 niter: 90850  468m 11s (- 2492m 25s) completed: 15%) loss_emb: 0.0000  loss: 1.4194  loss_TTT: 0.0528  acc: 0.5936  lr: 0.0000 
ep/it:237- 128 niter: 90900  468m 25s (- 2492m 6s) completed: 15%) loss_emb: 0.0000  loss: 1.4360  loss_TTT: 0.0514  acc: 0.5879  lr: 0.0000 
ep/it:237- 178 niter: 90950  468m 40s (- 2491m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0526  acc: 0.5993  lr: 0.0000 
ep/it:237- 228 niter: 91000  468m 54s (- 2491m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0519  acc: 0.6055  lr: 0.0000 
ep/it:237- 278 niter: 91050  469m 9s (- 2491m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0532  acc: 0.5967  lr: 0.0000 
ep/it:237- 328 niter: 91100  469m 24s (- 2490m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0529  acc: 0.5950  lr: 0.0000 
ep/it:237- 378 niter: 91150  469m 38s (- 2490m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0529  acc: 0.6002  lr: 0.0000 
Validation loss:1.632, accuracy:0.558
ep/it:238-  45 niter: 91200  469m 56s (- 2490m 20s) completed: 15%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0547  acc: 0.5900  lr: 0.0000 
ep/it:238-  95 niter: 91250  470m 10s (- 2490m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0548  acc: 0.5918  lr: 0.0000 
ep/it:238- 145 niter: 91300  470m 24s (- 2489m 36s) completed: 15%) loss_emb: 0.0000  loss: 1.4273  loss_TTT: 0.0533  acc: 0.5911  lr: 0.0000 
ep/it:238- 195 niter: 91350  470m 39s (- 2489m 17s) completed: 15%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0523  acc: 0.5962  lr: 0.0000 
ep/it:238- 245 niter: 91400  470m 53s (- 2488m 56s) completed: 15%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0538  acc: 0.5952  lr: 0.0000 
ep/it:238- 295 niter: 91450  471m 7s (- 2488m 33s) completed: 15%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0506  acc: 0.5944  lr: 0.0000 
ep/it:238- 345 niter: 91500  471m 21s (- 2488m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0495  acc: 0.5949  lr: 0.0000 
Validation loss:1.549, accuracy:0.577
ep/it:239-  12 niter: 91550  471m 39s (- 2488m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.4251  loss_TTT: 0.0521  acc: 0.5914  lr: 0.0000 
ep/it:239-  62 niter: 91600  471m 53s (- 2487m 44s) completed: 15%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0540  acc: 0.5882  lr: 0.0000 
ep/it:239- 112 niter: 91650  472m 7s (- 2487m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.4421  loss_TTT: 0.0496  acc: 0.5863  lr: 0.0000 
ep/it:239- 162 niter: 91700  472m 22s (- 2487m 2s) completed: 15%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0525  acc: 0.5911  lr: 0.0000 
ep/it:239- 212 niter: 91750  472m 36s (- 2486m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0524  acc: 0.5931  lr: 0.0000 
ep/it:239- 262 niter: 91800  472m 51s (- 2486m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0520  acc: 0.5855  lr: 0.0000 
ep/it:239- 312 niter: 91850  473m 5s (- 2485m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0524  acc: 0.5940  lr: 0.0000 
ep/it:239- 362 niter: 91900  473m 19s (- 2485m 36s) completed: 15%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0514  acc: 0.6034  lr: 0.0000 
Validation loss:1.591, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.77it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.28476090263575 avg: 38.28476090263575
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.589289863593876 avg: 38.437025383114815
--> 	 Eva. Repeat 0 :, FID. 0.0931, Diversity Real. 9.5302, Diversity. 9.5627, R_precision_real. [0.50585938 0.6796875  0.77246094], R_precision. [0.52148438 0.70800781 0.80761719], matching_score_real. 2.9317, matching_score_pred. 2.8608, skate_ratio. 0.0481, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0752 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0156 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0306 
ep/it:240-  29 niter: 91950  474m 54s (- 2492m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0524  acc: 0.5952  lr: 0.0000 
ep/it:240-  79 niter: 92000  475m 8s (- 2491m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0520  acc: 0.5921  lr: 0.0000 
ep/it:240- 129 niter: 92050  475m 23s (- 2491m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0525  acc: 0.5950  lr: 0.0000 
ep/it:240- 179 niter: 92100  475m 37s (- 2491m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0518  acc: 0.5958  lr: 0.0000 
ep/it:240- 229 niter: 92150  475m 51s (- 2490m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0533  acc: 0.6003  lr: 0.0000 
ep/it:240- 279 niter: 92200  476m 5s (- 2490m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0498  acc: 0.5971  lr: 0.0000 
ep/it:240- 329 niter: 92250  476m 20s (- 2490m 6s) completed: 16%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0516  acc: 0.5958  lr: 0.0000 
ep/it:240- 379 niter: 92300  476m 34s (- 2489m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0511  acc: 0.5937  lr: 0.0000 
Validation loss:1.568, accuracy:0.572
ep/it:241-  46 niter: 92350  476m 51s (- 2489m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0517  acc: 0.5979  lr: 0.0000 
ep/it:241-  96 niter: 92400  477m 5s (- 2489m 15s) completed: 16%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0546  acc: 0.5996  lr: 0.0000 
ep/it:241- 146 niter: 92450  477m 20s (- 2488m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0524  acc: 0.5939  lr: 0.0000 
ep/it:241- 196 niter: 92500  477m 35s (- 2488m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0525  acc: 0.5927  lr: 0.0000 
ep/it:241- 246 niter: 92550  477m 50s (- 2488m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0537  acc: 0.5896  lr: 0.0000 
ep/it:241- 296 niter: 92600  478m 4s (- 2487m 57s) completed: 16%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0532  acc: 0.5925  lr: 0.0000 
ep/it:241- 346 niter: 92650  478m 18s (- 2487m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0516  acc: 0.5947  lr: 0.0000 
Validation loss:1.594, accuracy:0.567
ep/it:242-  13 niter: 92700  478m 35s (- 2487m 26s) completed: 16%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0520  acc: 0.6007  lr: 0.0000 
ep/it:242-  63 niter: 92750  478m 49s (- 2487m 5s) completed: 16%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0514  acc: 0.5974  lr: 0.0000 
ep/it:242- 113 niter: 92800  479m 4s (- 2486m 46s) completed: 16%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0504  acc: 0.5977  lr: 0.0000 
ep/it:242- 163 niter: 92850  479m 19s (- 2486m 27s) completed: 16%) loss_emb: 0.0000  loss: 1.4327  loss_TTT: 0.0540  acc: 0.5905  lr: 0.0000 
ep/it:242- 213 niter: 92900  479m 34s (- 2486m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0539  acc: 0.5917  lr: 0.0000 
ep/it:242- 263 niter: 92950  479m 48s (- 2485m 47s) completed: 16%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0509  acc: 0.5958  lr: 0.0000 
ep/it:242- 313 niter: 93000  480m 3s (- 2485m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0516  acc: 0.5992  lr: 0.0000 
ep/it:242- 363 niter: 93050  480m 18s (- 2485m 8s) completed: 16%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0526  acc: 0.5967  lr: 0.0000 
Validation loss:1.629, accuracy:0.558
ep/it:243-  30 niter: 93100  480m 35s (- 2485m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0510  acc: 0.5998  lr: 0.0000 
ep/it:243-  80 niter: 93150  480m 50s (- 2484m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0531  acc: 0.5969  lr: 0.0000 
ep/it:243- 130 niter: 93200  481m 4s (- 2484m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0520  acc: 0.5907  lr: 0.0000 
ep/it:243- 180 niter: 93250  481m 19s (- 2484m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0543  acc: 0.5905  lr: 0.0000 
ep/it:243- 230 niter: 93300  481m 34s (- 2483m 44s) completed: 16%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0519  acc: 0.5962  lr: 0.0000 
ep/it:243- 280 niter: 93350  481m 48s (- 2483m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0499  acc: 0.5977  lr: 0.0000 
ep/it:243- 330 niter: 93400  482m 2s (- 2482m 59s) completed: 16%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0531  acc: 0.6014  lr: 0.0000 
ep/it:243- 380 niter: 93450  482m 17s (- 2482m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.4304  loss_TTT: 0.0551  acc: 0.5903  lr: 0.0000 
Validation loss:1.550, accuracy:0.576
ep/it:244-  47 niter: 93500  482m 34s (- 2482m 31s) completed: 16%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0533  acc: 0.5938  lr: 0.0000 
ep/it:244-  97 niter: 93550  482m 48s (- 2482m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0542  acc: 0.5956  lr: 0.0000 
ep/it:244- 147 niter: 93600  483m 3s (- 2481m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0528  acc: 0.5945  lr: 0.0000 
ep/it:244- 197 niter: 93650  483m 17s (- 2481m 30s) completed: 16%) loss_emb: 0.0000  loss: 1.4425  loss_TTT: 0.0524  acc: 0.5860  lr: 0.0000 
ep/it:244- 247 niter: 93700  483m 31s (- 2481m 8s) completed: 16%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0538  acc: 0.5946  lr: 0.0000 
ep/it:244- 297 niter: 93750  483m 46s (- 2480m 47s) completed: 16%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0517  acc: 0.6020  lr: 0.0000 
ep/it:244- 347 niter: 93800  484m 1s (- 2480m 27s) completed: 16%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0552  acc: 0.5945  lr: 0.0000 
Validation loss:1.586, accuracy:0.568
ep/it:245-  14 niter: 93850  484m 18s (- 2480m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0535  acc: 0.5996  lr: 0.0000 
ep/it:245-  64 niter: 93900  484m 32s (- 2480m 0s) completed: 16%) loss_emb: 0.0000  loss: 1.4494  loss_TTT: 0.0519  acc: 0.5858  lr: 0.0000 
ep/it:245- 114 niter: 93950  484m 47s (- 2479m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0531  acc: 0.5910  lr: 0.0000 
ep/it:245- 164 niter: 94000  485m 1s (- 2479m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0500  acc: 0.5976  lr: 0.0000 
ep/it:245- 214 niter: 94050  485m 15s (- 2478m 56s) completed: 16%) loss_emb: 0.0000  loss: 1.4452  loss_TTT: 0.0499  acc: 0.5863  lr: 0.0000 
ep/it:245- 264 niter: 94100  485m 29s (- 2478m 34s) completed: 16%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0545  acc: 0.5958  lr: 0.0000 
ep/it:245- 314 niter: 94150  485m 44s (- 2478m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0536  acc: 0.5976  lr: 0.0000 
ep/it:245- 364 niter: 94200  485m 59s (- 2477m 54s) completed: 16%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0538  acc: 0.5946  lr: 0.0000 
Validation loss:1.643, accuracy:0.554
ep/it:246-  31 niter: 94250  486m 16s (- 2477m 49s) completed: 16%) loss_emb: 0.0000  loss: 1.4542  loss_TTT: 0.0519  acc: 0.5836  lr: 0.0000 
ep/it:246-  81 niter: 94300  486m 31s (- 2477m 31s) completed: 16%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0531  acc: 0.5909  lr: 0.0000 
ep/it:246- 131 niter: 94350  486m 46s (- 2477m 12s) completed: 16%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0518  acc: 0.5997  lr: 0.0000 
ep/it:246- 181 niter: 94400  487m 1s (- 2476m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0505  acc: 0.5939  lr: 0.0000 
ep/it:246- 231 niter: 94450  487m 15s (- 2476m 30s) completed: 16%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0532  acc: 0.5996  lr: 0.0000 
ep/it:246- 281 niter: 94500  487m 29s (- 2476m 9s) completed: 16%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0518  acc: 0.5991  lr: 0.0000 
ep/it:246- 331 niter: 94550  487m 44s (- 2475m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0524  acc: 0.5941  lr: 0.0000 
ep/it:246- 381 niter: 94600  487m 59s (- 2475m 31s) completed: 16%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0516  acc: 0.5944  lr: 0.0000 
Validation loss:1.614, accuracy:0.561
ep/it:247-  48 niter: 94650  488m 16s (- 2475m 24s) completed: 16%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0510  acc: 0.6009  lr: 0.0000 
ep/it:247-  98 niter: 94700  488m 30s (- 2475m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0540  acc: 0.5906  lr: 0.0000 
ep/it:247- 148 niter: 94750  488m 44s (- 2474m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0530  acc: 0.6040  lr: 0.0000 
ep/it:247- 198 niter: 94800  488m 58s (- 2474m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0535  acc: 0.5960  lr: 0.0000 
ep/it:247- 248 niter: 94850  489m 12s (- 2473m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0503  acc: 0.5936  lr: 0.0000 
ep/it:247- 298 niter: 94900  489m 27s (- 2473m 34s) completed: 16%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0533  acc: 0.5981  lr: 0.0000 
ep/it:247- 348 niter: 94950  489m 41s (- 2473m 12s) completed: 16%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0510  acc: 0.5962  lr: 0.0000 
Validation loss:1.612, accuracy:0.563
ep/it:248-  15 niter: 95000  489m 58s (- 2473m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0518  acc: 0.5968  lr: 0.0000 
ep/it:248-  65 niter: 95050  490m 14s (- 2472m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0502  acc: 0.5926  lr: 0.0000 
ep/it:248- 115 niter: 95100  490m 28s (- 2472m 30s) completed: 16%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0528  acc: 0.5927  lr: 0.0000 
ep/it:248- 165 niter: 95150  490m 43s (- 2472m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0526  acc: 0.5928  lr: 0.0000 
ep/it:248- 215 niter: 95200  490m 57s (- 2471m 51s) completed: 16%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0541  acc: 0.5916  lr: 0.0000 
ep/it:248- 265 niter: 95250  491m 12s (- 2471m 30s) completed: 16%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0529  acc: 0.5953  lr: 0.0000 
ep/it:248- 315 niter: 95300  491m 27s (- 2471m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0524  acc: 0.5991  lr: 0.0000 
ep/it:248- 365 niter: 95350  491m 41s (- 2470m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0513  acc: 0.5932  lr: 0.0000 
Validation loss:1.614, accuracy:0.562
ep/it:249-  32 niter: 95400  491m 58s (- 2470m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0534  acc: 0.5933  lr: 0.0000 
ep/it:249-  82 niter: 95450  492m 12s (- 2470m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0502  acc: 0.5979  lr: 0.0000 
ep/it:249- 132 niter: 95500  492m 27s (- 2470m 0s) completed: 16%) loss_emb: 0.0000  loss: 1.4419  loss_TTT: 0.0549  acc: 0.5882  lr: 0.0000 
ep/it:249- 182 niter: 95550  492m 41s (- 2469m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0518  acc: 0.5943  lr: 0.0000 
ep/it:249- 232 niter: 95600  492m 55s (- 2469m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0521  acc: 0.5891  lr: 0.0000 
ep/it:249- 282 niter: 95650  493m 10s (- 2468m 59s) completed: 16%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0529  acc: 0.5974  lr: 0.0000 
ep/it:249- 332 niter: 95700  493m 25s (- 2468m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0516  acc: 0.5945  lr: 0.0000 
ep/it:249- 382 niter: 95750  493m 39s (- 2468m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0538  acc: 0.5945  lr: 0.0000 
Validation loss:1.618, accuracy:0.561

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.68it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.43s/it]
100%|██████████| 47/47 [01:17<00:00,  1.65s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.3882544208318 avg: 38.3882544208318
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.20740124769509 avg: 38.297827834263444
--> 	 Eva. Repeat 0 :, FID. 0.1112, Diversity Real. 9.5369, Diversity. 9.6684, R_precision_real. [0.51367188 0.70214844 0.80761719], R_precision. [0.52832031 0.70898438 0.7890625 ], matching_score_real. 2.8944, matching_score_pred. 2.9403, skate_ratio. 0.0502, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0781 (traj_fail_50cm (Traj err)): 0.0156 (kps_fail_20cm): 0.0161 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0313 
ep/it:250-  49 niter: 95800  495m 14s (- 2474m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0523  acc: 0.5929  lr: 0.0000 
ep/it:250-  99 niter: 95850  495m 28s (- 2474m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0552  acc: 0.6069  lr: 0.0000 
ep/it:250- 149 niter: 95900  495m 43s (- 2473m 57s) completed: 16%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0508  acc: 0.5978  lr: 0.0000 
ep/it:250- 199 niter: 95950  495m 57s (- 2473m 37s) completed: 16%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0528  acc: 0.5913  lr: 0.0000 
ep/it:250- 249 niter: 96000  496m 12s (- 2473m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0522  acc: 0.5916  lr: 0.0000 
ep/it:250- 299 niter: 96050  496m 26s (- 2472m 56s) completed: 16%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0506  acc: 0.5920  lr: 0.0000 
ep/it:250- 349 niter: 96100  496m 41s (- 2472m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.4394  loss_TTT: 0.0524  acc: 0.5878  lr: 0.0000 
Validation loss:1.583, accuracy:0.568
ep/it:251-  16 niter: 96150  496m 58s (- 2472m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0498  acc: 0.6006  lr: 0.0000 
ep/it:251-  66 niter: 96200  497m 12s (- 2472m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0528  acc: 0.6017  lr: 0.0000 
ep/it:251- 116 niter: 96250  497m 27s (- 2471m 47s) completed: 16%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0510  acc: 0.5989  lr: 0.0000 
ep/it:251- 166 niter: 96300  497m 41s (- 2471m 25s) completed: 16%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0535  acc: 0.5931  lr: 0.0000 
ep/it:251- 216 niter: 96350  497m 55s (- 2471m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0528  acc: 0.5892  lr: 0.0000 
ep/it:251- 266 niter: 96400  498m 10s (- 2470m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0542  acc: 0.5896  lr: 0.0000 
ep/it:251- 316 niter: 96450  498m 24s (- 2470m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0532  acc: 0.5948  lr: 0.0000 
ep/it:251- 366 niter: 96500  498m 39s (- 2470m 0s) completed: 16%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0522  acc: 0.5966  lr: 0.0000 
Validation loss:1.631, accuracy:0.558
ep/it:252-  33 niter: 96550  498m 56s (- 2469m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0518  acc: 0.5932  lr: 0.0000 
ep/it:252-  83 niter: 96600  499m 10s (- 2469m 30s) completed: 16%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0533  acc: 0.5937  lr: 0.0000 
ep/it:252- 133 niter: 96650  499m 24s (- 2469m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0517  acc: 0.5951  lr: 0.0000 
ep/it:252- 183 niter: 96700  499m 38s (- 2468m 47s) completed: 16%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0520  acc: 0.5899  lr: 0.0000 
ep/it:252- 233 niter: 96750  499m 53s (- 2468m 27s) completed: 16%) loss_emb: 0.0000  loss: 1.4304  loss_TTT: 0.0512  acc: 0.5898  lr: 0.0000 
ep/it:252- 283 niter: 96800  500m 7s (- 2468m 5s) completed: 16%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0539  acc: 0.5932  lr: 0.0000 
ep/it:252- 333 niter: 96850  500m 22s (- 2467m 44s) completed: 16%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0514  acc: 0.5938  lr: 0.0000 
Validation loss:1.617, accuracy:0.561
ep/it:253-   0 niter: 96900  500m 39s (- 2467m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0501  acc: 0.6003  lr: 0.0000 
ep/it:253-  50 niter: 96950  500m 53s (- 2467m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0519  acc: 0.5909  lr: 0.0000 
ep/it:253- 100 niter: 97000  501m 7s (- 2466m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0527  acc: 0.5959  lr: 0.0000 
ep/it:253- 150 niter: 97050  501m 22s (- 2466m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.4346  loss_TTT: 0.0535  acc: 0.5895  lr: 0.0000 
ep/it:253- 200 niter: 97100  501m 37s (- 2466m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0533  acc: 0.5958  lr: 0.0000 
ep/it:253- 250 niter: 97150  501m 51s (- 2465m 56s) completed: 16%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0498  acc: 0.5969  lr: 0.0000 
ep/it:253- 300 niter: 97200  502m 6s (- 2465m 33s) completed: 16%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0518  acc: 0.5923  lr: 0.0000 
ep/it:253- 350 niter: 97250  502m 20s (- 2465m 13s) completed: 16%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0521  acc: 0.5955  lr: 0.0000 
Validation loss:1.627, accuracy:0.559
ep/it:254-  17 niter: 97300  502m 37s (- 2465m 6s) completed: 16%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0518  acc: 0.5897  lr: 0.0000 
ep/it:254-  67 niter: 97350  502m 52s (- 2464m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0539  acc: 0.5925  lr: 0.0000 
ep/it:254- 117 niter: 97400  503m 6s (- 2464m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0536  acc: 0.5986  lr: 0.0000 
ep/it:254- 167 niter: 97450  503m 20s (- 2464m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0520  acc: 0.5954  lr: 0.0000 
ep/it:254- 217 niter: 97500  503m 34s (- 2463m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0528  acc: 0.5985  lr: 0.0000 
ep/it:254- 267 niter: 97550  503m 49s (- 2463m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0514  acc: 0.5948  lr: 0.0000 
ep/it:254- 317 niter: 97600  504m 3s (- 2462m 59s) completed: 16%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0524  acc: 0.5933  lr: 0.0000 
ep/it:254- 367 niter: 97650  504m 18s (- 2462m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0518  acc: 0.5954  lr: 0.0000 
Validation loss:1.595, accuracy:0.565
ep/it:255-  34 niter: 97700  504m 35s (- 2462m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0516  acc: 0.5991  lr: 0.0000 
ep/it:255-  84 niter: 97750  504m 49s (- 2462m 9s) completed: 17%) loss_emb: 0.0000  loss: 1.4312  loss_TTT: 0.0549  acc: 0.5902  lr: 0.0000 
ep/it:255- 134 niter: 97800  505m 3s (- 2461m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0527  acc: 0.5953  lr: 0.0000 
ep/it:255- 184 niter: 97850  505m 18s (- 2461m 26s) completed: 17%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0521  acc: 0.5888  lr: 0.0000 
ep/it:255- 234 niter: 97900  505m 32s (- 2461m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0533  acc: 0.6002  lr: 0.0000 
ep/it:255- 284 niter: 97950  505m 47s (- 2460m 47s) completed: 17%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0528  acc: 0.6028  lr: 0.0000 
ep/it:255- 334 niter: 98000  506m 2s (- 2460m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.4375  loss_TTT: 0.0515  acc: 0.5889  lr: 0.0000 
Validation loss:1.647, accuracy:0.551
ep/it:256-   1 niter: 98050  506m 19s (- 2460m 21s) completed: 17%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0508  acc: 0.5979  lr: 0.0000 
ep/it:256-  51 niter: 98100  506m 33s (- 2459m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0505  acc: 0.5919  lr: 0.0000 
ep/it:256- 101 niter: 98150  506m 48s (- 2459m 39s) completed: 17%) loss_emb: 0.0000  loss: 1.4251  loss_TTT: 0.0526  acc: 0.5921  lr: 0.0000 
ep/it:256- 151 niter: 98200  507m 2s (- 2459m 18s) completed: 17%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0521  acc: 0.5926  lr: 0.0000 
ep/it:256- 201 niter: 98250  507m 16s (- 2458m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0524  acc: 0.5906  lr: 0.0000 
ep/it:256- 251 niter: 98300  507m 31s (- 2458m 35s) completed: 17%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0543  acc: 0.5940  lr: 0.0000 
ep/it:256- 301 niter: 98350  507m 45s (- 2458m 16s) completed: 17%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0514  acc: 0.5950  lr: 0.0000 
ep/it:256- 351 niter: 98400  507m 59s (- 2457m 54s) completed: 17%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0535  acc: 0.5969  lr: 0.0000 
Validation loss:1.622, accuracy:0.560
ep/it:257-  18 niter: 98450  508m 16s (- 2457m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0531  acc: 0.5979  lr: 0.0000 
ep/it:257-  68 niter: 98500  508m 31s (- 2457m 26s) completed: 17%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0533  acc: 0.5966  lr: 0.0000 
ep/it:257- 118 niter: 98550  508m 46s (- 2457m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.4367  loss_TTT: 0.0515  acc: 0.5894  lr: 0.0000 
ep/it:257- 168 niter: 98600  509m 0s (- 2456m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0510  acc: 0.5982  lr: 0.0000 
ep/it:257- 218 niter: 98650  509m 14s (- 2456m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0540  acc: 0.5910  lr: 0.0000 
ep/it:257- 268 niter: 98700  509m 29s (- 2456m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0528  acc: 0.5963  lr: 0.0000 
ep/it:257- 318 niter: 98750  509m 42s (- 2455m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0527  acc: 0.6015  lr: 0.0000 
ep/it:257- 368 niter: 98800  509m 57s (- 2455m 18s) completed: 17%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0507  acc: 0.5978  lr: 0.0000 
Validation loss:1.631, accuracy:0.559
ep/it:258-  35 niter: 98850  510m 14s (- 2455m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0534  acc: 0.5994  lr: 0.0000 
ep/it:258-  85 niter: 98900  510m 28s (- 2454m 47s) completed: 17%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0535  acc: 0.5907  lr: 0.0000 
ep/it:258- 135 niter: 98950  510m 42s (- 2454m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0501  acc: 0.5890  lr: 0.0000 
ep/it:258- 185 niter: 99000  510m 57s (- 2454m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0533  acc: 0.5925  lr: 0.0000 
ep/it:258- 235 niter: 99050  511m 12s (- 2453m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0520  acc: 0.6003  lr: 0.0000 
ep/it:258- 285 niter: 99100  511m 26s (- 2453m 27s) completed: 17%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0496  acc: 0.5939  lr: 0.0000 
ep/it:258- 335 niter: 99150  511m 40s (- 2453m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0557  acc: 0.5917  lr: 0.0000 
Validation loss:1.587, accuracy:0.569
ep/it:259-   2 niter: 99200  511m 56s (- 2452m 54s) completed: 17%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0514  acc: 0.5982  lr: 0.0000 
ep/it:259-  52 niter: 99250  512m 11s (- 2452m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.4319  loss_TTT: 0.0520  acc: 0.5903  lr: 0.0000 
ep/it:259- 102 niter: 99300  512m 25s (- 2452m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0513  acc: 0.5979  lr: 0.0000 
ep/it:259- 152 niter: 99350  512m 39s (- 2451m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0515  acc: 0.5968  lr: 0.0000 
ep/it:259- 202 niter: 99400  512m 54s (- 2451m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0519  acc: 0.5928  lr: 0.0000 
ep/it:259- 252 niter: 99450  513m 8s (- 2451m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0495  acc: 0.5998  lr: 0.0000 
ep/it:259- 302 niter: 99500  513m 23s (- 2450m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0511  acc: 0.6034  lr: 0.0000 
ep/it:259- 352 niter: 99550  513m 37s (- 2450m 30s) completed: 17%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0528  acc: 0.5968  lr: 0.0000 
Validation loss:1.625, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
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 34%|███▍      | 16/47 [00:40<01:20,  2.59s/it]
 68%|██████▊   | 32/47 [01:20<00:37,  2.52s/it]
100%|██████████| 47/47 [01:20<00:00,  1.71s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  40.091821532696486 avg: 40.091821532696486
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.29683155566454 avg: 39.69432654418051
--> 	 Eva. Repeat 0 :, FID. 0.0908, Diversity Real. 9.6392, Diversity. 9.5994, R_precision_real. [0.51757812 0.70898438 0.8125    ], R_precision. [0.51757812 0.72070312 0.81542969], matching_score_real. 2.8761, matching_score_pred. 2.8665, skate_ratio. 0.0428, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0713 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0125 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0299 
ep/it:260-  19 niter: 99600  515m 15s (- 2456m 47s) completed: 17%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0514  acc: 0.6005  lr: 0.0000 
ep/it:260-  69 niter: 99650  515m 29s (- 2456m 26s) completed: 17%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0528  acc: 0.6004  lr: 0.0000 
ep/it:260- 119 niter: 99700  515m 44s (- 2456m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0523  acc: 0.5950  lr: 0.0000 
ep/it:260- 169 niter: 99750  515m 59s (- 2455m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0517  acc: 0.5947  lr: 0.0000 
ep/it:260- 219 niter: 99800  516m 13s (- 2455m 24s) completed: 17%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0525  acc: 0.5896  lr: 0.0000 
ep/it:260- 269 niter: 99850  516m 27s (- 2455m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0499  acc: 0.5958  lr: 0.0000 
ep/it:260- 319 niter: 99900  516m 42s (- 2454m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0518  acc: 0.5933  lr: 0.0000 
ep/it:260- 369 niter: 99950  516m 56s (- 2454m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0513  acc: 0.5964  lr: 0.0000 
Validation loss:1.611, accuracy:0.561
ep/it:261-  36 niter:100000  517m 14s (- 2454m 16s) completed: 17%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0524  acc: 0.5990  lr: 0.0000 
ep/it:261-  86 niter:100050  517m 28s (- 2453m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0529  acc: 0.5942  lr: 0.0000 
ep/it:261- 136 niter:100100  517m 42s (- 2453m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0537  acc: 0.5951  lr: 0.0000 
ep/it:261- 186 niter:100150  517m 56s (- 2453m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0509  acc: 0.5932  lr: 0.0000 
ep/it:261- 236 niter:100200  518m 10s (- 2452m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0536  acc: 0.5937  lr: 0.0000 
ep/it:261- 286 niter:100250  518m 25s (- 2452m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0505  acc: 0.6007  lr: 0.0000 
ep/it:261- 336 niter:100300  518m 39s (- 2452m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0536  acc: 0.6009  lr: 0.0000 
Validation loss:1.633, accuracy:0.556
ep/it:262-   3 niter:100350  518m 56s (- 2451m 57s) completed: 17%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0515  acc: 0.5945  lr: 0.0000 
ep/it:262-  53 niter:100400  519m 10s (- 2451m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0514  acc: 0.5981  lr: 0.0000 
ep/it:262- 103 niter:100450  519m 25s (- 2451m 18s) completed: 17%) loss_emb: 0.0000  loss: 1.4283  loss_TTT: 0.0529  acc: 0.5906  lr: 0.0000 
ep/it:262- 153 niter:100500  519m 40s (- 2451m 0s) completed: 17%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0522  acc: 0.5962  lr: 0.0000 
ep/it:262- 203 niter:100550  519m 55s (- 2450m 41s) completed: 17%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0520  acc: 0.5964  lr: 0.0000 
ep/it:262- 253 niter:100600  520m 9s (- 2450m 19s) completed: 17%) loss_emb: 0.0000  loss: 1.4319  loss_TTT: 0.0539  acc: 0.5908  lr: 0.0000 
ep/it:262- 303 niter:100650  520m 24s (- 2450m 0s) completed: 17%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0519  acc: 0.5929  lr: 0.0000 
ep/it:262- 353 niter:100700  520m 38s (- 2449m 39s) completed: 17%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0509  acc: 0.5958  lr: 0.0000 
Validation loss:1.636, accuracy:0.557
ep/it:263-  20 niter:100750  520m 55s (- 2449m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0546  acc: 0.5949  lr: 0.0000 
ep/it:263-  70 niter:100800  521m 10s (- 2449m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0525  acc: 0.5992  lr: 0.0000 
ep/it:263- 120 niter:100850  521m 24s (- 2448m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0548  acc: 0.5927  lr: 0.0000 
ep/it:263- 170 niter:100900  521m 38s (- 2448m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0515  acc: 0.5963  lr: 0.0000 
ep/it:263- 220 niter:100950  521m 53s (- 2448m 8s) completed: 17%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0511  acc: 0.5932  lr: 0.0000 
ep/it:263- 270 niter:101000  522m 8s (- 2447m 51s) completed: 17%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0518  acc: 0.5945  lr: 0.0000 
ep/it:263- 320 niter:101050  522m 23s (- 2447m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0507  acc: 0.6007  lr: 0.0000 
ep/it:263- 370 niter:101100  522m 38s (- 2447m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0532  acc: 0.5914  lr: 0.0000 
Validation loss:1.597, accuracy:0.564
ep/it:264-  37 niter:101150  522m 55s (- 2447m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0525  acc: 0.5981  lr: 0.0000 
ep/it:264-  87 niter:101200  523m 10s (- 2446m 47s) completed: 17%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0519  acc: 0.5990  lr: 0.0000 
ep/it:264- 137 niter:101250  523m 24s (- 2446m 27s) completed: 17%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0515  acc: 0.6009  lr: 0.0000 
ep/it:264- 187 niter:101300  523m 39s (- 2446m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0502  acc: 0.6077  lr: 0.0000 
ep/it:264- 237 niter:101350  523m 53s (- 2445m 47s) completed: 17%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0521  acc: 0.5897  lr: 0.0000 
ep/it:264- 287 niter:101400  524m 8s (- 2445m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0525  acc: 0.5967  lr: 0.0000 
ep/it:264- 337 niter:101450  524m 22s (- 2445m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.4388  loss_TTT: 0.0544  acc: 0.5877  lr: 0.0000 
Validation loss:1.608, accuracy:0.565
ep/it:265-   4 niter:101500  524m 39s (- 2444m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0510  acc: 0.5891  lr: 0.0000 
ep/it:265-  54 niter:101550  524m 54s (- 2444m 37s) completed: 17%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0520  acc: 0.5905  lr: 0.0000 
ep/it:265- 104 niter:101600  525m 8s (- 2444m 17s) completed: 17%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0528  acc: 0.6012  lr: 0.0000 
ep/it:265- 154 niter:101650  525m 23s (- 2443m 59s) completed: 17%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0505  acc: 0.5893  lr: 0.0000 
ep/it:265- 204 niter:101700  525m 37s (- 2443m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0519  acc: 0.5917  lr: 0.0000 
ep/it:265- 254 niter:101750  525m 51s (- 2443m 16s) completed: 17%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0524  acc: 0.5992  lr: 0.0000 
ep/it:265- 304 niter:101800  526m 6s (- 2442m 55s) completed: 17%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0497  acc: 0.5999  lr: 0.0000 
ep/it:265- 354 niter:101850  526m 20s (- 2442m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.4318  loss_TTT: 0.0536  acc: 0.5907  lr: 0.0000 
Validation loss:1.636, accuracy:0.555
ep/it:266-  21 niter:101900  526m 37s (- 2442m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.4679  loss_TTT: 0.0533  acc: 0.5806  lr: 0.0000 
ep/it:266-  71 niter:101950  526m 51s (- 2442m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0532  acc: 0.5922  lr: 0.0000 
ep/it:266- 121 niter:102000  527m 6s (- 2441m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0519  acc: 0.5988  lr: 0.0000 
ep/it:266- 171 niter:102050  527m 20s (- 2441m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0529  acc: 0.5889  lr: 0.0000 
ep/it:266- 221 niter:102100  527m 35s (- 2441m 4s) completed: 17%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0509  acc: 0.6046  lr: 0.0000 
ep/it:266- 271 niter:102150  527m 50s (- 2440m 45s) completed: 17%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0485  acc: 0.6008  lr: 0.0000 
ep/it:266- 321 niter:102200  528m 4s (- 2440m 22s) completed: 17%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0512  acc: 0.5952  lr: 0.0000 
ep/it:266- 371 niter:102250  528m 18s (- 2440m 0s) completed: 17%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0507  acc: 0.5959  lr: 0.0000 
Validation loss:1.637, accuracy:0.556
ep/it:267-  38 niter:102300  528m 35s (- 2439m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0544  acc: 0.5922  lr: 0.0000 
ep/it:267-  88 niter:102350  528m 49s (- 2439m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0509  acc: 0.5976  lr: 0.0000 
ep/it:267- 138 niter:102400  529m 4s (- 2439m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0510  acc: 0.5994  lr: 0.0000 
ep/it:267- 188 niter:102450  529m 19s (- 2438m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.4430  loss_TTT: 0.0539  acc: 0.5866  lr: 0.0000 
ep/it:267- 238 niter:102500  529m 33s (- 2438m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0516  acc: 0.6044  lr: 0.0000 
ep/it:267- 288 niter:102550  529m 48s (- 2438m 14s) completed: 17%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0510  acc: 0.5905  lr: 0.0000 
ep/it:267- 338 niter:102600  530m 2s (- 2437m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0526  acc: 0.6042  lr: 0.0000 
Validation loss:1.571, accuracy:0.571
ep/it:268-   5 niter:102650  530m 19s (- 2437m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0506  acc: 0.5906  lr: 0.0000 
ep/it:268-  55 niter:102700  530m 34s (- 2437m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0526  acc: 0.5920  lr: 0.0000 
ep/it:268- 105 niter:102750  530m 49s (- 2437m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0518  acc: 0.5938  lr: 0.0000 
ep/it:268- 155 niter:102800  531m 3s (- 2436m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0519  acc: 0.5966  lr: 0.0000 
ep/it:268- 205 niter:102850  531m 17s (- 2436m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0512  acc: 0.5908  lr: 0.0000 
ep/it:268- 255 niter:102900  531m 32s (- 2436m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0526  acc: 0.5921  lr: 0.0000 
ep/it:268- 305 niter:102950  531m 46s (- 2435m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0526  acc: 0.5910  lr: 0.0000 
ep/it:268- 355 niter:103000  532m 1s (- 2435m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0514  acc: 0.5996  lr: 0.0000 
Validation loss:1.631, accuracy:0.557
ep/it:269-  22 niter:103050  532m 19s (- 2435m 19s) completed: 17%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0517  acc: 0.5959  lr: 0.0000 
ep/it:269-  72 niter:103100  532m 33s (- 2435m 1s) completed: 17%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0517  acc: 0.5947  lr: 0.0000 
ep/it:269- 122 niter:103150  532m 48s (- 2434m 41s) completed: 17%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0516  acc: 0.5968  lr: 0.0000 
ep/it:269- 172 niter:103200  533m 3s (- 2434m 22s) completed: 17%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0502  acc: 0.6002  lr: 0.0000 
ep/it:269- 222 niter:103250  533m 17s (- 2434m 1s) completed: 17%) loss_emb: 0.0000  loss: 1.4283  loss_TTT: 0.0520  acc: 0.5907  lr: 0.0000 
ep/it:269- 272 niter:103300  533m 31s (- 2433m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0510  acc: 0.5967  lr: 0.0000 
ep/it:269- 322 niter:103350  533m 45s (- 2433m 17s) completed: 17%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0551  acc: 0.5968  lr: 0.0000 
ep/it:269- 372 niter:103400  533m 59s (- 2432m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0505  acc: 0.5965  lr: 0.0000 
Validation loss:1.618, accuracy:0.562

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 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.65s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.257240855135024 avg: 38.257240855135024
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.58782798051834 avg: 38.42253441782668
--> 	 Eva. Repeat 0 :, FID. 0.1024, Diversity Real. 9.4692, Diversity. 9.6978, R_precision_real. [0.51953125 0.70703125 0.79882812], R_precision. [0.51660156 0.71484375 0.80175781], matching_score_real. 2.9480, matching_score_pred. 2.9715, skate_ratio. 0.0495, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0596 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0144 (kps_fail_50cm (Loc. err)): 0.0021 (kps_mean_err(m) (Avg. err)): 0.0303 
ep/it:270-  39 niter:103450  535m 35s (- 2438m 44s) completed: 18%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0494  acc: 0.5984  lr: 0.0000 
ep/it:270-  89 niter:103500  535m 49s (- 2438m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0523  acc: 0.5980  lr: 0.0000 
ep/it:270- 139 niter:103550  536m 5s (- 2438m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0547  acc: 0.5888  lr: 0.0000 
ep/it:270- 189 niter:103600  536m 19s (- 2437m 47s) completed: 18%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0518  acc: 0.5974  lr: 0.0000 
ep/it:270- 239 niter:103650  536m 34s (- 2437m 28s) completed: 18%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0508  acc: 0.5941  lr: 0.0000 
ep/it:270- 289 niter:103700  536m 49s (- 2437m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0509  acc: 0.5941  lr: 0.0000 
ep/it:270- 339 niter:103750  537m 3s (- 2436m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0536  acc: 0.5954  lr: 0.0000 
Validation loss:1.620, accuracy:0.559
ep/it:271-   6 niter:103800  537m 20s (- 2436m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0521  acc: 0.5937  lr: 0.0000 
ep/it:271-  56 niter:103850  537m 35s (- 2436m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0514  acc: 0.5903  lr: 0.0000 
ep/it:271- 106 niter:103900  537m 49s (- 2436m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0523  acc: 0.6020  lr: 0.0000 
ep/it:271- 156 niter:103950  538m 4s (- 2435m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0524  acc: 0.5925  lr: 0.0000 
ep/it:271- 206 niter:104000  538m 18s (- 2435m 21s) completed: 18%) loss_emb: 0.0000  loss: 1.4251  loss_TTT: 0.0509  acc: 0.5921  lr: 0.0000 
ep/it:271- 256 niter:104050  538m 33s (- 2435m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0530  acc: 0.5940  lr: 0.0000 
ep/it:271- 306 niter:104100  538m 47s (- 2434m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0509  acc: 0.6046  lr: 0.0000 
ep/it:271- 356 niter:104150  539m 2s (- 2434m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0510  acc: 0.6014  lr: 0.0000 
Validation loss:1.591, accuracy:0.567
ep/it:272-  23 niter:104200  539m 19s (- 2434m 12s) completed: 18%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0500  acc: 0.5958  lr: 0.0000 
ep/it:272-  73 niter:104250  539m 33s (- 2433m 50s) completed: 18%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0518  acc: 0.5927  lr: 0.0000 
ep/it:272- 123 niter:104300  539m 47s (- 2433m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0521  acc: 0.5915  lr: 0.0000 
ep/it:272- 173 niter:104350  540m 2s (- 2433m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0520  acc: 0.5883  lr: 0.0000 
ep/it:272- 223 niter:104400  540m 16s (- 2432m 49s) completed: 18%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0544  acc: 0.5911  lr: 0.0000 
ep/it:272- 273 niter:104450  540m 31s (- 2432m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0531  acc: 0.5924  lr: 0.0000 
ep/it:272- 323 niter:104500  540m 46s (- 2432m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0533  acc: 0.6000  lr: 0.0000 
ep/it:272- 373 niter:104550  541m 1s (- 2431m 53s) completed: 18%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0531  acc: 0.5884  lr: 0.0000 
Validation loss:1.588, accuracy:0.569
ep/it:273-  40 niter:104600  541m 18s (- 2431m 43s) completed: 18%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0509  acc: 0.6002  lr: 0.0000 
ep/it:273-  90 niter:104650  541m 33s (- 2431m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0536  acc: 0.5966  lr: 0.0000 
ep/it:273- 140 niter:104700  541m 47s (- 2431m 3s) completed: 18%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0505  acc: 0.5882  lr: 0.0000 
ep/it:273- 190 niter:104750  542m 1s (- 2430m 43s) completed: 18%) loss_emb: 0.0000  loss: 1.4273  loss_TTT: 0.0514  acc: 0.5904  lr: 0.0000 
ep/it:273- 240 niter:104800  542m 16s (- 2430m 24s) completed: 18%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0509  acc: 0.5971  lr: 0.0000 
ep/it:273- 290 niter:104850  542m 31s (- 2430m 4s) completed: 18%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0539  acc: 0.5909  lr: 0.0000 
ep/it:273- 340 niter:104900  542m 45s (- 2429m 44s) completed: 18%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0554  acc: 0.5957  lr: 0.0000 
Validation loss:1.609, accuracy:0.563
ep/it:274-   7 niter:104950  543m 2s (- 2429m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.4328  loss_TTT: 0.0511  acc: 0.5892  lr: 0.0000 
ep/it:274-  57 niter:105000  543m 17s (- 2429m 15s) completed: 18%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0534  acc: 0.5910  lr: 0.0000 
ep/it:274- 107 niter:105050  543m 31s (- 2428m 57s) completed: 18%) loss_emb: 0.0000  loss: 1.4263  loss_TTT: 0.0535  acc: 0.5901  lr: 0.0000 
ep/it:274- 157 niter:105100  543m 46s (- 2428m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0524  acc: 0.5949  lr: 0.0000 
ep/it:274- 207 niter:105150  544m 0s (- 2428m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0514  acc: 0.5956  lr: 0.0000 
ep/it:274- 257 niter:105200  544m 14s (- 2427m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0521  acc: 0.5909  lr: 0.0000 
ep/it:274- 307 niter:105250  544m 28s (- 2427m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0500  acc: 0.5961  lr: 0.0000 
ep/it:274- 357 niter:105300  544m 42s (- 2427m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0522  acc: 0.5950  lr: 0.0000 
Validation loss:1.620, accuracy:0.560
ep/it:275-  24 niter:105350  544m 59s (- 2427m 0s) completed: 18%) loss_emb: 0.0000  loss: 1.4435  loss_TTT: 0.0533  acc: 0.5870  lr: 0.0000 
ep/it:275-  74 niter:105400  545m 14s (- 2426m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0540  acc: 0.5969  lr: 0.0000 
ep/it:275- 124 niter:105450  545m 28s (- 2426m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.4190  loss_TTT: 0.0511  acc: 0.5938  lr: 0.0000 
ep/it:275- 174 niter:105500  545m 43s (- 2426m 0s) completed: 18%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0515  acc: 0.6031  lr: 0.0000 
ep/it:275- 224 niter:105550  545m 58s (- 2425m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0513  acc: 0.5953  lr: 0.0000 
ep/it:275- 274 niter:105600  546m 12s (- 2425m 19s) completed: 18%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0530  acc: 0.5849  lr: 0.0000 
ep/it:275- 324 niter:105650  546m 26s (- 2424m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0522  acc: 0.5998  lr: 0.0000 
ep/it:275- 374 niter:105700  546m 40s (- 2424m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0515  acc: 0.5986  lr: 0.0000 
Validation loss:1.606, accuracy:0.561
ep/it:276-  41 niter:105750  546m 57s (- 2424m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.4292  loss_TTT: 0.0534  acc: 0.5897  lr: 0.0000 
ep/it:276-  91 niter:105800  547m 11s (- 2424m 4s) completed: 18%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0528  acc: 0.5941  lr: 0.0000 
ep/it:276- 141 niter:105850  547m 25s (- 2423m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0504  acc: 0.5968  lr: 0.0000 
ep/it:276- 191 niter:105900  547m 39s (- 2423m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0522  acc: 0.5935  lr: 0.0000 
ep/it:276- 241 niter:105950  547m 53s (- 2422m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0537  acc: 0.5970  lr: 0.0000 
ep/it:276- 291 niter:106000  548m 7s (- 2422m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0522  acc: 0.5920  lr: 0.0000 
ep/it:276- 341 niter:106050  548m 22s (- 2422m 17s) completed: 18%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0525  acc: 0.5926  lr: 0.0000 
Validation loss:1.628, accuracy:0.557
ep/it:277-   8 niter:106100  548m 38s (- 2422m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0497  acc: 0.5980  lr: 0.0000 
ep/it:277-  58 niter:106150  548m 52s (- 2421m 42s) completed: 18%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0502  acc: 0.5983  lr: 0.0000 
ep/it:277- 108 niter:106200  549m 6s (- 2421m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0521  acc: 0.6013  lr: 0.0000 
ep/it:277- 158 niter:106250  549m 21s (- 2421m 1s) completed: 18%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0521  acc: 0.5912  lr: 0.0000 
ep/it:277- 208 niter:106300  549m 35s (- 2420m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0497  acc: 0.5972  lr: 0.0000 
ep/it:277- 258 niter:106350  549m 49s (- 2420m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0526  acc: 0.5968  lr: 0.0000 
ep/it:277- 308 niter:106400  550m 4s (- 2419m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0519  acc: 0.6114  lr: 0.0000 
ep/it:277- 358 niter:106450  550m 18s (- 2419m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0500  acc: 0.5941  lr: 0.0000 
Validation loss:1.625, accuracy:0.558
ep/it:278-  25 niter:106500  550m 35s (- 2419m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0508  acc: 0.5957  lr: 0.0000 
ep/it:278-  75 niter:106550  550m 50s (- 2419m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0527  acc: 0.5949  lr: 0.0000 
ep/it:278- 125 niter:106600  551m 4s (- 2418m 49s) completed: 18%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0525  acc: 0.5971  lr: 0.0000 
ep/it:278- 175 niter:106650  551m 19s (- 2418m 30s) completed: 18%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0486  acc: 0.5941  lr: 0.0000 
ep/it:278- 225 niter:106700  551m 34s (- 2418m 12s) completed: 18%) loss_emb: 0.0000  loss: 1.4287  loss_TTT: 0.0526  acc: 0.5920  lr: 0.0000 
ep/it:278- 275 niter:106750  551m 48s (- 2417m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0512  acc: 0.5930  lr: 0.0000 
ep/it:278- 325 niter:106800  552m 2s (- 2417m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0519  acc: 0.5937  lr: 0.0000 
ep/it:278- 375 niter:106850  552m 17s (- 2417m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0539  acc: 0.5913  lr: 0.0000 
Validation loss:1.655, accuracy:0.551
ep/it:279-  42 niter:106900  552m 34s (- 2417m 3s) completed: 18%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0519  acc: 0.5959  lr: 0.0000 
ep/it:279-  92 niter:106950  552m 48s (- 2416m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0520  acc: 0.5927  lr: 0.0000 
ep/it:279- 142 niter:107000  553m 2s (- 2416m 21s) completed: 18%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0518  acc: 0.5940  lr: 0.0000 
ep/it:279- 192 niter:107050  553m 17s (- 2416m 1s) completed: 18%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0506  acc: 0.5979  lr: 0.0000 
ep/it:279- 242 niter:107100  553m 31s (- 2415m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0513  acc: 0.5932  lr: 0.0000 
ep/it:279- 292 niter:107150  553m 46s (- 2415m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0531  acc: 0.5923  lr: 0.0000 
ep/it:279- 342 niter:107200  554m 0s (- 2415m 0s) completed: 18%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0500  acc: 0.5975  lr: 0.0000 
Validation loss:1.604, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:13,  3.32it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.65s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.59285150188953 avg: 38.59285150188953
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.23972229193896 avg: 38.416286896914244
--> 	 Eva. Repeat 0 :, FID. 0.0922, Diversity Real. 9.6021, Diversity. 9.5508, R_precision_real. [0.51855469 0.71484375 0.80273438], R_precision. [0.5        0.6796875  0.78710938], matching_score_real. 2.8966, matching_score_pred. 2.9425, skate_ratio. 0.0503, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0752 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0153 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0303 
ep/it:280-   9 niter:107250  555m 35s (- 2420m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.4360  loss_TTT: 0.0533  acc: 0.5881  lr: 0.0000 
ep/it:280-  59 niter:107300  555m 49s (- 2420m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0502  acc: 0.5919  lr: 0.0000 
ep/it:280- 109 niter:107350  556m 4s (- 2419m 49s) completed: 18%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0512  acc: 0.6003  lr: 0.0000 
ep/it:280- 159 niter:107400  556m 18s (- 2419m 28s) completed: 18%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0514  acc: 0.6036  lr: 0.0000 
ep/it:280- 209 niter:107450  556m 32s (- 2419m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0514  acc: 0.6021  lr: 0.0000 
ep/it:280- 259 niter:107500  556m 47s (- 2418m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0504  acc: 0.5921  lr: 0.0000 
ep/it:280- 309 niter:107550  557m 2s (- 2418m 28s) completed: 18%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0512  acc: 0.5923  lr: 0.0000 
ep/it:280- 359 niter:107600  557m 16s (- 2418m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0505  acc: 0.5933  lr: 0.0000 
Validation loss:1.640, accuracy:0.555
ep/it:281-  26 niter:107650  557m 33s (- 2417m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0519  acc: 0.5918  lr: 0.0000 
ep/it:281-  76 niter:107700  557m 48s (- 2417m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0508  acc: 0.5958  lr: 0.0000 
ep/it:281- 126 niter:107750  558m 2s (- 2417m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0542  acc: 0.5934  lr: 0.0000 
ep/it:281- 176 niter:107800  558m 16s (- 2416m 57s) completed: 18%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0514  acc: 0.5999  lr: 0.0000 
ep/it:281- 226 niter:107850  558m 30s (- 2416m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0507  acc: 0.5913  lr: 0.0000 
ep/it:281- 276 niter:107900  558m 45s (- 2416m 16s) completed: 18%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0529  acc: 0.5966  lr: 0.0000 
ep/it:281- 326 niter:107950  558m 59s (- 2415m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0531  acc: 0.5976  lr: 0.0000 
ep/it:281- 376 niter:108000  559m 13s (- 2415m 34s) completed: 18%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0498  acc: 0.5989  lr: 0.0000 
Validation loss:1.621, accuracy:0.558
ep/it:282-  43 niter:108050  559m 31s (- 2415m 28s) completed: 18%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0492  acc: 0.5947  lr: 0.0000 
ep/it:282-  93 niter:108100  559m 46s (- 2415m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0523  acc: 0.5928  lr: 0.0000 
ep/it:282- 143 niter:108150  560m 0s (- 2414m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0504  acc: 0.6001  lr: 0.0000 
ep/it:282- 193 niter:108200  560m 14s (- 2414m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0505  acc: 0.5944  lr: 0.0000 
ep/it:282- 243 niter:108250  560m 29s (- 2414m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0500  acc: 0.5946  lr: 0.0000 
ep/it:282- 293 niter:108300  560m 44s (- 2413m 49s) completed: 18%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0511  acc: 0.5960  lr: 0.0000 
ep/it:282- 343 niter:108350  560m 58s (- 2413m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0536  acc: 0.6013  lr: 0.0000 
Validation loss:1.560, accuracy:0.574
ep/it:283-  10 niter:108400  561m 15s (- 2413m 19s) completed: 18%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0527  acc: 0.5953  lr: 0.0000 
ep/it:283-  60 niter:108450  561m 30s (- 2413m 1s) completed: 18%) loss_emb: 0.0000  loss: 1.4339  loss_TTT: 0.0540  acc: 0.5900  lr: 0.0000 
ep/it:283- 110 niter:108500  561m 44s (- 2412m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0507  acc: 0.5926  lr: 0.0000 
ep/it:283- 160 niter:108550  561m 59s (- 2412m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0527  acc: 0.6031  lr: 0.0000 
ep/it:283- 210 niter:108600  562m 14s (- 2412m 1s) completed: 18%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0503  acc: 0.5976  lr: 0.0000 
ep/it:283- 260 niter:108650  562m 28s (- 2411m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0525  acc: 0.5968  lr: 0.0000 
ep/it:283- 310 niter:108700  562m 42s (- 2411m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0526  acc: 0.5964  lr: 0.0000 
ep/it:283- 360 niter:108750  562m 56s (- 2410m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0510  acc: 0.5922  lr: 0.0000 
Validation loss:1.568, accuracy:0.570
ep/it:284-  27 niter:108800  563m 13s (- 2410m 47s) completed: 18%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0510  acc: 0.5941  lr: 0.0000 
ep/it:284-  77 niter:108850  563m 28s (- 2410m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0526  acc: 0.5902  lr: 0.0000 
ep/it:284- 127 niter:108900  563m 42s (- 2410m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0515  acc: 0.5947  lr: 0.0000 
ep/it:284- 177 niter:108950  563m 56s (- 2409m 46s) completed: 18%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0511  acc: 0.6006  lr: 0.0000 
ep/it:284- 227 niter:109000  564m 10s (- 2409m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0541  acc: 0.5945  lr: 0.0000 
ep/it:284- 277 niter:109050  564m 25s (- 2409m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.4360  loss_TTT: 0.0531  acc: 0.5882  lr: 0.0000 
ep/it:284- 327 niter:109100  564m 40s (- 2408m 46s) completed: 18%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0530  acc: 0.5912  lr: 0.0000 
ep/it:284- 377 niter:109150  564m 54s (- 2408m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0524  acc: 0.6009  lr: 0.0000 
Validation loss:1.640, accuracy:0.556
ep/it:285-  44 niter:109200  565m 11s (- 2408m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.4281  loss_TTT: 0.0533  acc: 0.5913  lr: 0.0000 
ep/it:285-  94 niter:109250  565m 25s (- 2407m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0509  acc: 0.5993  lr: 0.0000 
ep/it:285- 144 niter:109300  565m 39s (- 2407m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0515  acc: 0.6020  lr: 0.0000 
ep/it:285- 194 niter:109350  565m 53s (- 2407m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0515  acc: 0.6013  lr: 0.0000 
ep/it:285- 244 niter:109400  566m 8s (- 2406m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0523  acc: 0.5998  lr: 0.0000 
ep/it:285- 294 niter:109450  566m 22s (- 2406m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0520  acc: 0.6006  lr: 0.0000 
ep/it:285- 344 niter:109500  566m 37s (- 2406m 12s) completed: 19%) loss_emb: 0.0000  loss: 1.4296  loss_TTT: 0.0526  acc: 0.5906  lr: 0.0000 
Validation loss:1.630, accuracy:0.558
ep/it:286-  11 niter:109550  566m 54s (- 2406m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0502  acc: 0.6032  lr: 0.0000 
ep/it:286-  61 niter:109600  567m 8s (- 2405m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0512  acc: 0.5939  lr: 0.0000 
ep/it:286- 111 niter:109650  567m 23s (- 2405m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0530  acc: 0.5929  lr: 0.0000 
ep/it:286- 161 niter:109700  567m 37s (- 2405m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0520  acc: 0.5921  lr: 0.0000 
ep/it:286- 211 niter:109750  567m 52s (- 2404m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0514  acc: 0.5999  lr: 0.0000 
ep/it:286- 261 niter:109800  568m 6s (- 2404m 22s) completed: 19%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0537  acc: 0.5940  lr: 0.0000 
ep/it:286- 311 niter:109850  568m 21s (- 2404m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0510  acc: 0.5920  lr: 0.0000 
ep/it:286- 361 niter:109900  568m 35s (- 2403m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0501  acc: 0.5963  lr: 0.0000 
Validation loss:1.606, accuracy:0.564
ep/it:287-  28 niter:109950  568m 52s (- 2403m 35s) completed: 19%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0522  acc: 0.5994  lr: 0.0000 
ep/it:287-  78 niter:110000  569m 7s (- 2403m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0513  acc: 0.6042  lr: 0.0000 
ep/it:287- 128 niter:110050  569m 22s (- 2402m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0520  acc: 0.5940  lr: 0.0000 
ep/it:287- 178 niter:110100  569m 37s (- 2402m 40s) completed: 19%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0515  acc: 0.5993  lr: 0.0000 
ep/it:287- 228 niter:110150  569m 52s (- 2402m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0514  acc: 0.5954  lr: 0.0000 
ep/it:287- 278 niter:110200  570m 7s (- 2402m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0521  acc: 0.5961  lr: 0.0000 
ep/it:287- 328 niter:110250  570m 21s (- 2401m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0545  acc: 0.5909  lr: 0.0000 
ep/it:287- 378 niter:110300  570m 35s (- 2401m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0512  acc: 0.5969  lr: 0.0000 
Validation loss:1.646, accuracy:0.552
ep/it:288-  45 niter:110350  570m 52s (- 2401m 12s) completed: 19%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0526  acc: 0.5991  lr: 0.0000 
ep/it:288-  95 niter:110400  571m 6s (- 2400m 51s) completed: 19%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0534  acc: 0.5945  lr: 0.0000 
ep/it:288- 145 niter:110450  571m 21s (- 2400m 32s) completed: 19%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0496  acc: 0.5944  lr: 0.0000 
ep/it:288- 195 niter:110500  571m 36s (- 2400m 12s) completed: 19%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0526  acc: 0.5933  lr: 0.0000 
ep/it:288- 245 niter:110550  571m 51s (- 2399m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0528  acc: 0.5911  lr: 0.0000 
ep/it:288- 295 niter:110600  572m 5s (- 2399m 36s) completed: 19%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0523  acc: 0.5995  lr: 0.0000 
ep/it:288- 345 niter:110650  572m 21s (- 2399m 19s) completed: 19%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0522  acc: 0.5936  lr: 0.0000 
Validation loss:1.606, accuracy:0.563
ep/it:289-  12 niter:110700  572m 37s (- 2399m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0525  acc: 0.5952  lr: 0.0000 
ep/it:289-  62 niter:110750  572m 52s (- 2398m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0523  acc: 0.5986  lr: 0.0000 
ep/it:289- 112 niter:110800  573m 6s (- 2398m 30s) completed: 19%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0494  acc: 0.6031  lr: 0.0000 
ep/it:289- 162 niter:110850  573m 21s (- 2398m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0524  acc: 0.5944  lr: 0.0000 
ep/it:289- 212 niter:110900  573m 35s (- 2397m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0526  acc: 0.5857  lr: 0.0000 
ep/it:289- 262 niter:110950  573m 50s (- 2397m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0512  acc: 0.5978  lr: 0.0000 
ep/it:289- 312 niter:111000  574m 4s (- 2397m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0534  acc: 0.5952  lr: 0.0000 
ep/it:289- 362 niter:111050  574m 19s (- 2396m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0516  acc: 0.6044  lr: 0.0000 
Validation loss:1.615, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.13it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.60042720101774 avg: 38.60042720101774
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.407482489943504 avg: 38.50395484548062
--> 	 Eva. Repeat 0 :, FID. 0.0869, Diversity Real. 9.3737, Diversity. 9.5425, R_precision_real. [0.54394531 0.72949219 0.8125    ], R_precision. [0.54199219 0.73242188 0.828125  ], matching_score_real. 2.8572, matching_score_pred. 2.8975, skate_ratio. 0.0495, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0723 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0098 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0283 
ep/it:290-  29 niter:111100  575m 54s (- 2402m 7s) completed: 19%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0502  acc: 0.5981  lr: 0.0000 
ep/it:290-  79 niter:111150  576m 9s (- 2401m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0542  acc: 0.5965  lr: 0.0000 
ep/it:290- 129 niter:111200  576m 23s (- 2401m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0515  acc: 0.5986  lr: 0.0000 
ep/it:290- 179 niter:111250  576m 38s (- 2401m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0528  acc: 0.5981  lr: 0.0000 
ep/it:290- 229 niter:111300  576m 52s (- 2400m 47s) completed: 19%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0517  acc: 0.5909  lr: 0.0000 
ep/it:290- 279 niter:111350  577m 6s (- 2400m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0530  acc: 0.5929  lr: 0.0000 
ep/it:290- 329 niter:111400  577m 21s (- 2400m 7s) completed: 19%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0495  acc: 0.5969  lr: 0.0000 
ep/it:290- 379 niter:111450  577m 35s (- 2399m 47s) completed: 19%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0524  acc: 0.5871  lr: 0.0000 
Validation loss:1.614, accuracy:0.560
ep/it:291-  46 niter:111500  577m 52s (- 2399m 38s) completed: 19%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0526  acc: 0.5971  lr: 0.0000 
ep/it:291-  96 niter:111550  578m 7s (- 2399m 20s) completed: 19%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0517  acc: 0.5963  lr: 0.0000 
ep/it:291- 146 niter:111600  578m 22s (- 2399m 0s) completed: 19%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0503  acc: 0.5995  lr: 0.0000 
ep/it:291- 196 niter:111650  578m 36s (- 2398m 39s) completed: 19%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0507  acc: 0.5922  lr: 0.0000 
ep/it:291- 246 niter:111700  578m 51s (- 2398m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0508  acc: 0.6014  lr: 0.0000 
ep/it:291- 296 niter:111750  579m 5s (- 2397m 58s) completed: 19%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0503  acc: 0.5940  lr: 0.0000 
ep/it:291- 346 niter:111800  579m 19s (- 2397m 37s) completed: 19%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0519  acc: 0.6016  lr: 0.0000 
Validation loss:1.602, accuracy:0.561
ep/it:292-  13 niter:111850  579m 36s (- 2397m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0507  acc: 0.5948  lr: 0.0000 
ep/it:292-  63 niter:111900  579m 50s (- 2397m 5s) completed: 19%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0528  acc: 0.5923  lr: 0.0000 
ep/it:292- 113 niter:111950  580m 4s (- 2396m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0514  acc: 0.6029  lr: 0.0000 
ep/it:292- 163 niter:112000  580m 18s (- 2396m 22s) completed: 19%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0529  acc: 0.5881  lr: 0.0000 
ep/it:292- 213 niter:112050  580m 33s (- 2396m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.4284  loss_TTT: 0.0531  acc: 0.5898  lr: 0.0000 
ep/it:292- 263 niter:112100  580m 47s (- 2395m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0523  acc: 0.5903  lr: 0.0000 
ep/it:292- 313 niter:112150  581m 1s (- 2395m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.4336  loss_TTT: 0.0530  acc: 0.5882  lr: 0.0000 
ep/it:292- 363 niter:112200  581m 16s (- 2395m 2s) completed: 19%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0518  acc: 0.5953  lr: 0.0000 
Validation loss:1.596, accuracy:0.565
ep/it:293-  30 niter:112250  581m 33s (- 2394m 52s) completed: 19%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0517  acc: 0.5959  lr: 0.0000 
ep/it:293-  80 niter:112300  581m 47s (- 2394m 32s) completed: 19%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0505  acc: 0.5906  lr: 0.0000 
ep/it:293- 130 niter:112350  582m 2s (- 2394m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0520  acc: 0.5950  lr: 0.0000 
ep/it:293- 180 niter:112400  582m 16s (- 2393m 52s) completed: 19%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0535  acc: 0.5988  lr: 0.0000 
ep/it:293- 230 niter:112450  582m 30s (- 2393m 30s) completed: 19%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0526  acc: 0.5992  lr: 0.0000 
ep/it:293- 280 niter:112500  582m 45s (- 2393m 9s) completed: 19%) loss_emb: 0.0000  loss: 1.4318  loss_TTT: 0.0515  acc: 0.5906  lr: 0.0000 
ep/it:293- 330 niter:112550  582m 59s (- 2392m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0514  acc: 0.5966  lr: 0.0000 
ep/it:293- 380 niter:112600  583m 13s (- 2392m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0513  acc: 0.6017  lr: 0.0000 
Validation loss:1.626, accuracy:0.559
ep/it:294-  47 niter:112650  583m 29s (- 2392m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0514  acc: 0.5983  lr: 0.0000 
ep/it:294-  97 niter:112700  583m 44s (- 2391m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0509  acc: 0.6031  lr: 0.0000 
ep/it:294- 147 niter:112750  583m 58s (- 2391m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.4542  loss_TTT: 0.0534  acc: 0.5846  lr: 0.0000 
ep/it:294- 197 niter:112800  584m 12s (- 2391m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0512  acc: 0.5887  lr: 0.0000 
ep/it:294- 247 niter:112850  584m 26s (- 2390m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0514  acc: 0.5993  lr: 0.0000 
ep/it:294- 297 niter:112900  584m 40s (- 2390m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0501  acc: 0.5976  lr: 0.0000 
ep/it:294- 347 niter:112950  584m 55s (- 2390m 9s) completed: 19%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0508  acc: 0.6082  lr: 0.0000 
Validation loss:1.568, accuracy:0.574
ep/it:295-  14 niter:113000  585m 11s (- 2389m 58s) completed: 19%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0510  acc: 0.5978  lr: 0.0000 
ep/it:295-  64 niter:113050  585m 26s (- 2389m 40s) completed: 19%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0535  acc: 0.5939  lr: 0.0000 
ep/it:295- 114 niter:113100  585m 40s (- 2389m 20s) completed: 19%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0532  acc: 0.5969  lr: 0.0000 
ep/it:295- 164 niter:113150  585m 55s (- 2388m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0513  acc: 0.5930  lr: 0.0000 
ep/it:295- 214 niter:113200  586m 9s (- 2388m 38s) completed: 19%) loss_emb: 0.0000  loss: 1.4370  loss_TTT: 0.0517  acc: 0.5884  lr: 0.0000 
ep/it:295- 264 niter:113250  586m 23s (- 2388m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0541  acc: 0.5937  lr: 0.0000 
ep/it:295- 314 niter:113300  586m 38s (- 2387m 57s) completed: 19%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0500  acc: 0.5981  lr: 0.0000 
ep/it:295- 364 niter:113350  586m 52s (- 2387m 37s) completed: 19%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0507  acc: 0.6038  lr: 0.0000 
Validation loss:1.570, accuracy:0.571
ep/it:296-  31 niter:113400  587m 9s (- 2387m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0531  acc: 0.5934  lr: 0.0000 
ep/it:296-  81 niter:113450  587m 23s (- 2387m 5s) completed: 19%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0520  acc: 0.5979  lr: 0.0000 
ep/it:296- 131 niter:113500  587m 37s (- 2386m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0520  acc: 0.5886  lr: 0.0000 
ep/it:296- 181 niter:113550  587m 51s (- 2386m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0534  acc: 0.5934  lr: 0.0000 
ep/it:296- 231 niter:113600  588m 5s (- 2386m 2s) completed: 19%) loss_emb: 0.0000  loss: 1.4460  loss_TTT: 0.0504  acc: 0.5859  lr: 0.0000 
ep/it:296- 281 niter:113650  588m 19s (- 2385m 40s) completed: 19%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0524  acc: 0.5999  lr: 0.0000 
ep/it:296- 331 niter:113700  588m 33s (- 2385m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0540  acc: 0.5945  lr: 0.0000 
ep/it:296- 381 niter:113750  588m 48s (- 2384m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0522  acc: 0.5911  lr: 0.0000 
Validation loss:1.636, accuracy:0.555
ep/it:297-  48 niter:113800  589m 5s (- 2384m 51s) completed: 19%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0515  acc: 0.6008  lr: 0.0000 
ep/it:297-  98 niter:113850  589m 20s (- 2384m 30s) completed: 19%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0521  acc: 0.6005  lr: 0.0000 
ep/it:297- 148 niter:113900  589m 34s (- 2384m 9s) completed: 19%) loss_emb: 0.0000  loss: 1.4284  loss_TTT: 0.0524  acc: 0.5894  lr: 0.0000 
ep/it:297- 198 niter:113950  589m 48s (- 2383m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0513  acc: 0.5970  lr: 0.0000 
ep/it:297- 248 niter:114000  590m 2s (- 2383m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0511  acc: 0.5978  lr: 0.0000 
ep/it:297- 298 niter:114050  590m 16s (- 2383m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0535  acc: 0.5913  lr: 0.0000 
ep/it:297- 348 niter:114100  590m 31s (- 2382m 46s) completed: 19%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0501  acc: 0.5911  lr: 0.0000 
Validation loss:1.620, accuracy:0.559
ep/it:298-  15 niter:114150  590m 47s (- 2382m 36s) completed: 19%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0516  acc: 0.5899  lr: 0.0000 
ep/it:298-  65 niter:114200  591m 1s (- 2382m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0522  acc: 0.5893  lr: 0.0000 
ep/it:298- 115 niter:114250  591m 15s (- 2381m 52s) completed: 19%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0510  acc: 0.5951  lr: 0.0000 
ep/it:298- 165 niter:114300  591m 30s (- 2381m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0498  acc: 0.5920  lr: 0.0000 
ep/it:298- 215 niter:114350  591m 44s (- 2381m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0516  acc: 0.5957  lr: 0.0000 
ep/it:298- 265 niter:114400  591m 58s (- 2380m 52s) completed: 19%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0517  acc: 0.5961  lr: 0.0000 
ep/it:298- 315 niter:114450  592m 13s (- 2380m 34s) completed: 19%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0523  acc: 0.5982  lr: 0.0000 
ep/it:298- 365 niter:114500  592m 27s (- 2380m 12s) completed: 19%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0538  acc: 0.5945  lr: 0.0000 
Validation loss:1.631, accuracy:0.555
ep/it:299-  32 niter:114550  592m 45s (- 2380m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0526  acc: 0.5906  lr: 0.0000 
ep/it:299-  82 niter:114600  593m 0s (- 2379m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0515  acc: 0.5866  lr: 0.0000 
ep/it:299- 132 niter:114650  593m 14s (- 2379m 25s) completed: 19%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0513  acc: 0.5971  lr: 0.0000 
ep/it:299- 182 niter:114700  593m 29s (- 2379m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0509  acc: 0.5948  lr: 0.0000 
ep/it:299- 232 niter:114750  593m 43s (- 2378m 47s) completed: 19%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0520  acc: 0.5973  lr: 0.0000 
ep/it:299- 282 niter:114800  593m 57s (- 2378m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0524  acc: 0.5991  lr: 0.0000 
ep/it:299- 332 niter:114850  594m 12s (- 2378m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0522  acc: 0.5902  lr: 0.0000 
ep/it:299- 382 niter:114900  594m 27s (- 2377m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0509  acc: 0.6024  lr: 0.0000 
Validation loss:1.590, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.98it/s]
 34%|███▍      | 16/47 [00:41<01:21,  2.61s/it]
 68%|██████▊   | 32/47 [01:20<00:38,  2.54s/it]
100%|██████████| 47/47 [01:21<00:00,  1.72s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  40.440601949580014 avg: 40.440601949580014
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.37389953061938 avg: 39.9072507400997
--> 	 Eva. Repeat 0 :, FID. 0.1132, Diversity Real. 9.6916, Diversity. 9.3678, R_precision_real. [0.52929688 0.70703125 0.8046875 ], R_precision. [0.53613281 0.72949219 0.8125    ], matching_score_real. 2.8902, matching_score_pred. 2.8722, skate_ratio. 0.0503, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0713 (traj_fail_50cm (Traj err)): 0.0127 (kps_fail_20cm): 0.0115 (kps_fail_50cm (Loc. err)): 0.0021 (kps_mean_err(m) (Avg. err)): 0.0298 
ep/it:300-  49 niter:114950  596m 5s (- 2383m 4s) completed: 20%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0514  acc: 0.5957  lr: 0.0000 
ep/it:300-  99 niter:115000  596m 19s (- 2382m 43s) completed: 20%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0543  acc: 0.5886  lr: 0.0000 
ep/it:300- 149 niter:115050  596m 34s (- 2382m 23s) completed: 20%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0516  acc: 0.6059  lr: 0.0000 
ep/it:300- 199 niter:115100  596m 48s (- 2382m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0512  acc: 0.6007  lr: 0.0000 
ep/it:300- 249 niter:115150  597m 2s (- 2381m 42s) completed: 20%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0518  acc: 0.5988  lr: 0.0000 
ep/it:300- 299 niter:115200  597m 17s (- 2381m 23s) completed: 20%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0526  acc: 0.5942  lr: 0.0000 
ep/it:300- 349 niter:115250  597m 31s (- 2381m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0523  acc: 0.6038  lr: 0.0000 
Validation loss:1.573, accuracy:0.572
ep/it:301-  16 niter:115300  597m 49s (- 2380m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0508  acc: 0.5987  lr: 0.0000 
ep/it:301-  66 niter:115350  598m 3s (- 2380m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0518  acc: 0.5926  lr: 0.0000 
ep/it:301- 116 niter:115400  598m 18s (- 2380m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0532  acc: 0.5968  lr: 0.0000 
ep/it:301- 166 niter:115450  598m 32s (- 2379m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0528  acc: 0.5956  lr: 0.0000 
ep/it:301- 216 niter:115500  598m 47s (- 2379m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0525  acc: 0.5926  lr: 0.0000 
ep/it:301- 266 niter:115550  599m 1s (- 2379m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0505  acc: 0.6003  lr: 0.0000 
ep/it:301- 316 niter:115600  599m 15s (- 2378m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0505  acc: 0.5931  lr: 0.0000 
ep/it:301- 366 niter:115650  599m 30s (- 2378m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0522  acc: 0.5973  lr: 0.0000 
Validation loss:1.567, accuracy:0.573
ep/it:302-  33 niter:115700  599m 47s (- 2378m 24s) completed: 20%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0536  acc: 0.6009  lr: 0.0000 
ep/it:302-  83 niter:115750  600m 1s (- 2378m 2s) completed: 20%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0518  acc: 0.5981  lr: 0.0000 
ep/it:302- 133 niter:115800  600m 15s (- 2377m 44s) completed: 20%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0531  acc: 0.5941  lr: 0.0000 
ep/it:302- 183 niter:115850  600m 30s (- 2377m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0507  acc: 0.5933  lr: 0.0000 
ep/it:302- 233 niter:115900  600m 44s (- 2377m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0520  acc: 0.5981  lr: 0.0000 
ep/it:302- 283 niter:115950  600m 58s (- 2376m 43s) completed: 20%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0509  acc: 0.5981  lr: 0.0000 
ep/it:302- 333 niter:116000  601m 13s (- 2376m 22s) completed: 20%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0509  acc: 0.5985  lr: 0.0000 
Validation loss:1.619, accuracy:0.560
ep/it:303-   0 niter:116050  601m 30s (- 2376m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0536  acc: 0.5971  lr: 0.0000 
ep/it:303-  50 niter:116100  601m 44s (- 2375m 52s) completed: 20%) loss_emb: 0.0000  loss: 1.4319  loss_TTT: 0.0518  acc: 0.5898  lr: 0.0000 
ep/it:303- 100 niter:116150  601m 59s (- 2375m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0511  acc: 0.6004  lr: 0.0000 
ep/it:303- 150 niter:116200  602m 13s (- 2375m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0505  acc: 0.5963  lr: 0.0000 
ep/it:303- 200 niter:116250  602m 27s (- 2374m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0516  acc: 0.5984  lr: 0.0000 
ep/it:303- 250 niter:116300  602m 42s (- 2374m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0517  acc: 0.5983  lr: 0.0000 
ep/it:303- 300 niter:116350  602m 57s (- 2374m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0520  acc: 0.5974  lr: 0.0000 
ep/it:303- 350 niter:116400  603m 10s (- 2373m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0502  acc: 0.5997  lr: 0.0000 
Validation loss:1.632, accuracy:0.556
ep/it:304-  17 niter:116450  603m 27s (- 2373m 41s) completed: 20%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0519  acc: 0.5964  lr: 0.0000 
ep/it:304-  67 niter:116500  603m 42s (- 2373m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0509  acc: 0.5947  lr: 0.0000 
ep/it:304- 117 niter:116550  603m 56s (- 2373m 1s) completed: 20%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0525  acc: 0.5960  lr: 0.0000 
ep/it:304- 167 niter:116600  604m 11s (- 2372m 44s) completed: 20%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0523  acc: 0.5922  lr: 0.0000 
ep/it:304- 217 niter:116650  604m 26s (- 2372m 24s) completed: 20%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0520  acc: 0.5929  lr: 0.0000 
ep/it:304- 267 niter:116700  604m 40s (- 2372m 4s) completed: 20%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0518  acc: 0.5994  lr: 0.0000 
ep/it:304- 317 niter:116750  604m 54s (- 2371m 43s) completed: 20%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0523  acc: 0.5949  lr: 0.0000 
ep/it:304- 367 niter:116800  605m 9s (- 2371m 23s) completed: 20%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0516  acc: 0.5965  lr: 0.0000 
Validation loss:1.617, accuracy:0.561
ep/it:305-  34 niter:116850  605m 25s (- 2371m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0516  acc: 0.5951  lr: 0.0000 
ep/it:305-  84 niter:116900  605m 40s (- 2370m 52s) completed: 20%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0517  acc: 0.5904  lr: 0.0000 
ep/it:305- 134 niter:116950  605m 54s (- 2370m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0513  acc: 0.5994  lr: 0.0000 
ep/it:305- 184 niter:117000  606m 9s (- 2370m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0522  acc: 0.5951  lr: 0.0000 
ep/it:305- 234 niter:117050  606m 24s (- 2369m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0493  acc: 0.5935  lr: 0.0000 
ep/it:305- 284 niter:117100  606m 38s (- 2369m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0501  acc: 0.5895  lr: 0.0000 
ep/it:305- 334 niter:117150  606m 52s (- 2369m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0513  acc: 0.5902  lr: 0.0000 
Validation loss:1.586, accuracy:0.567
ep/it:306-   1 niter:117200  607m 9s (- 2369m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0517  acc: 0.5930  lr: 0.0000 
ep/it:306-  51 niter:117250  607m 24s (- 2368m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0512  acc: 0.6007  lr: 0.0000 
ep/it:306- 101 niter:117300  607m 39s (- 2368m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0502  acc: 0.5954  lr: 0.0000 
ep/it:306- 151 niter:117350  607m 53s (- 2368m 7s) completed: 20%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0546  acc: 0.5958  lr: 0.0000 
ep/it:306- 201 niter:117400  608m 8s (- 2367m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0504  acc: 0.5965  lr: 0.0000 
ep/it:306- 251 niter:117450  608m 22s (- 2367m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0496  acc: 0.5891  lr: 0.0000 
ep/it:306- 301 niter:117500  608m 36s (- 2367m 7s) completed: 20%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0507  acc: 0.5945  lr: 0.0000 
ep/it:306- 351 niter:117550  608m 51s (- 2366m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0521  acc: 0.5932  lr: 0.0000 
Validation loss:1.599, accuracy:0.568
ep/it:307-  18 niter:117600  609m 8s (- 2366m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0513  acc: 0.5937  lr: 0.0000 
ep/it:307-  68 niter:117650  609m 22s (- 2366m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0520  acc: 0.5885  lr: 0.0000 
ep/it:307- 118 niter:117700  609m 36s (- 2365m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0510  acc: 0.5958  lr: 0.0000 
ep/it:307- 168 niter:117750  609m 50s (- 2365m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0525  acc: 0.5926  lr: 0.0000 
ep/it:307- 218 niter:117800  610m 4s (- 2365m 10s) completed: 20%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0515  acc: 0.5901  lr: 0.0000 
ep/it:307- 268 niter:117850  610m 18s (- 2364m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0518  acc: 0.5966  lr: 0.0000 
ep/it:307- 318 niter:117900  610m 32s (- 2364m 27s) completed: 20%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0512  acc: 0.5950  lr: 0.0000 
ep/it:307- 368 niter:117950  610m 45s (- 2364m 5s) completed: 20%) loss_emb: 0.0000  loss: 1.4423  loss_TTT: 0.0525  acc: 0.5861  lr: 0.0000 
Validation loss:1.604, accuracy:0.564
ep/it:308-  35 niter:118000  611m 2s (- 2363m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0516  acc: 0.5982  lr: 0.0000 
ep/it:308-  85 niter:118050  611m 16s (- 2363m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0530  acc: 0.5994  lr: 0.0000 
ep/it:308- 135 niter:118100  611m 30s (- 2363m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0535  acc: 0.5927  lr: 0.0000 
ep/it:308- 185 niter:118150  611m 44s (- 2362m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0512  acc: 0.5983  lr: 0.0000 
ep/it:308- 235 niter:118200  611m 59s (- 2362m 30s) completed: 20%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0512  acc: 0.5959  lr: 0.0000 
ep/it:308- 285 niter:118250  612m 13s (- 2362m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0506  acc: 0.5947  lr: 0.0000 
ep/it:308- 335 niter:118300  612m 27s (- 2361m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0532  acc: 0.5939  lr: 0.0000 
Validation loss:1.577, accuracy:0.570
ep/it:309-   2 niter:118350  612m 44s (- 2361m 37s) completed: 20%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0518  acc: 0.5994  lr: 0.0000 
ep/it:309-  52 niter:118400  612m 58s (- 2361m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0517  acc: 0.5946  lr: 0.0000 
ep/it:309- 102 niter:118450  613m 11s (- 2360m 53s) completed: 20%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0499  acc: 0.6059  lr: 0.0000 
ep/it:309- 152 niter:118500  613m 25s (- 2360m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0511  acc: 0.5991  lr: 0.0000 
ep/it:309- 202 niter:118550  613m 40s (- 2360m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0520  acc: 0.5944  lr: 0.0000 
ep/it:309- 252 niter:118600  613m 53s (- 2359m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.4380  loss_TTT: 0.0529  acc: 0.5880  lr: 0.0000 
ep/it:309- 302 niter:118650  614m 7s (- 2359m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0520  acc: 0.5969  lr: 0.0000 
ep/it:309- 352 niter:118700  614m 21s (- 2359m 6s) completed: 20%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0512  acc: 0.5931  lr: 0.0000 
Validation loss:1.623, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.21it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.487723420374095 avg: 38.487723420374095
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.45359892770648 avg: 38.47066117404029
--> 	 Eva. Repeat 0 :, FID. 0.1025, Diversity Real. 9.3729, Diversity. 10.0850, R_precision_real. [0.52050781 0.71777344 0.81152344], R_precision. [0.52246094 0.70507812 0.80371094], matching_score_real. 2.9093, matching_score_pred. 2.9241, skate_ratio. 0.0474, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0615 (traj_fail_50cm (Traj err)): 0.0010 (kps_fail_20cm): 0.0098 (kps_fail_50cm (Loc. err)): 0.0001 (kps_mean_err(m) (Avg. err)): 0.0269 
ep/it:310-  19 niter:118750  615m 56s (- 2363m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0522  acc: 0.5943  lr: 0.0000 
ep/it:310-  69 niter:118800  616m 10s (- 2363m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0518  acc: 0.5905  lr: 0.0000 
ep/it:310- 119 niter:118850  616m 24s (- 2363m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0500  acc: 0.6001  lr: 0.0000 
ep/it:310- 169 niter:118900  616m 38s (- 2362m 52s) completed: 20%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0511  acc: 0.5995  lr: 0.0000 
ep/it:310- 219 niter:118950  616m 53s (- 2362m 31s) completed: 20%) loss_emb: 0.0000  loss: 1.4431  loss_TTT: 0.0539  acc: 0.5877  lr: 0.0000 
ep/it:310- 269 niter:119000  617m 7s (- 2362m 10s) completed: 20%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0498  acc: 0.6001  lr: 0.0000 
ep/it:310- 319 niter:119050  617m 21s (- 2361m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0513  acc: 0.5982  lr: 0.0000 
ep/it:310- 369 niter:119100  617m 35s (- 2361m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0503  acc: 0.5942  lr: 0.0000 
Validation loss:1.618, accuracy:0.560
ep/it:311-  36 niter:119150  617m 52s (- 2361m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0497  acc: 0.6008  lr: 0.0000 
ep/it:311-  86 niter:119200  618m 5s (- 2360m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0513  acc: 0.5977  lr: 0.0000 
ep/it:311- 136 niter:119250  618m 19s (- 2360m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0535  acc: 0.5966  lr: 0.0000 
ep/it:311- 186 niter:119300  618m 34s (- 2360m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0506  acc: 0.5921  lr: 0.0000 
ep/it:311- 236 niter:119350  618m 48s (- 2359m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0516  acc: 0.5931  lr: 0.0000 
ep/it:311- 286 niter:119400  619m 2s (- 2359m 29s) completed: 20%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0542  acc: 0.5954  lr: 0.0000 
ep/it:311- 336 niter:119450  619m 17s (- 2359m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0520  acc: 0.6017  lr: 0.0000 
Validation loss:1.618, accuracy:0.559
ep/it:312-   3 niter:119500  619m 33s (- 2358m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.4207  loss_TTT: 0.0512  acc: 0.5916  lr: 0.0000 
ep/it:312-  53 niter:119550  619m 47s (- 2358m 39s) completed: 20%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0509  acc: 0.5922  lr: 0.0000 
ep/it:312- 103 niter:119600  620m 1s (- 2358m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0528  acc: 0.5980  lr: 0.0000 
ep/it:312- 153 niter:119650  620m 15s (- 2357m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0536  acc: 0.5931  lr: 0.0000 
ep/it:312- 203 niter:119700  620m 29s (- 2357m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0544  acc: 0.5931  lr: 0.0000 
ep/it:312- 253 niter:119750  620m 43s (- 2357m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0513  acc: 0.5973  lr: 0.0000 
ep/it:312- 303 niter:119800  620m 57s (- 2356m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0507  acc: 0.5934  lr: 0.0000 
ep/it:312- 353 niter:119850  621m 11s (- 2356m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0523  acc: 0.5954  lr: 0.0000 
Validation loss:1.599, accuracy:0.565
ep/it:313-  20 niter:119900  621m 28s (- 2356m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0498  acc: 0.5986  lr: 0.0000 
ep/it:313-  70 niter:119950  621m 43s (- 2356m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0522  acc: 0.5974  lr: 0.0000 
ep/it:313- 120 niter:120000  621m 57s (- 2355m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0524  acc: 0.5895  lr: 0.0000 
ep/it:313- 170 niter:120050  622m 11s (- 2355m 19s) completed: 20%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0505  acc: 0.5884  lr: 0.0000 
ep/it:313- 220 niter:120100  622m 26s (- 2355m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0525  acc: 0.6031  lr: 0.0000 
ep/it:313- 270 niter:120150  622m 40s (- 2354m 39s) completed: 20%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0495  acc: 0.5956  lr: 0.0000 
ep/it:313- 320 niter:120200  622m 54s (- 2354m 18s) completed: 20%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0515  acc: 0.5957  lr: 0.0000 
ep/it:313- 370 niter:120250  623m 8s (- 2353m 57s) completed: 20%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0518  acc: 0.5927  lr: 0.0000 
Validation loss:1.572, accuracy:0.571
ep/it:314-  37 niter:120300  623m 25s (- 2353m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0527  acc: 0.6028  lr: 0.0000 
ep/it:314-  87 niter:120350  623m 39s (- 2353m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0528  acc: 0.5900  lr: 0.0000 
ep/it:314- 137 niter:120400  623m 54s (- 2353m 8s) completed: 20%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0511  acc: 0.5939  lr: 0.0000 
ep/it:314- 187 niter:120450  624m 9s (- 2352m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0510  acc: 0.5963  lr: 0.0000 
ep/it:314- 237 niter:120500  624m 23s (- 2352m 30s) completed: 20%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0501  acc: 0.5933  lr: 0.0000 
ep/it:314- 287 niter:120550  624m 38s (- 2352m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0498  acc: 0.5952  lr: 0.0000 
ep/it:314- 337 niter:120600  624m 53s (- 2351m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0518  acc: 0.5951  lr: 0.0000 
Validation loss:1.594, accuracy:0.566
ep/it:315-   4 niter:120650  625m 10s (- 2351m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0491  acc: 0.6045  lr: 0.0000 
ep/it:315-  54 niter:120700  625m 24s (- 2351m 21s) completed: 21%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0521  acc: 0.5900  lr: 0.0000 
ep/it:315- 104 niter:120750  625m 38s (- 2351m 0s) completed: 21%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0504  acc: 0.5955  lr: 0.0000 
ep/it:315- 154 niter:120800  625m 52s (- 2350m 39s) completed: 21%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0521  acc: 0.6007  lr: 0.0000 
ep/it:315- 204 niter:120850  626m 6s (- 2350m 17s) completed: 21%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0538  acc: 0.6030  lr: 0.0000 
ep/it:315- 254 niter:120900  626m 21s (- 2349m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0527  acc: 0.5998  lr: 0.0000 
ep/it:315- 304 niter:120950  626m 35s (- 2349m 38s) completed: 21%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0510  acc: 0.5954  lr: 0.0000 
ep/it:315- 354 niter:121000  626m 49s (- 2349m 19s) completed: 21%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0506  acc: 0.5934  lr: 0.0000 
Validation loss:1.612, accuracy:0.562
ep/it:316-  21 niter:121050  627m 6s (- 2349m 8s) completed: 21%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0506  acc: 0.5975  lr: 0.0000 
ep/it:316-  71 niter:121100  627m 20s (- 2348m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0520  acc: 0.5920  lr: 0.0000 
ep/it:316- 121 niter:121150  627m 35s (- 2348m 28s) completed: 21%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0515  acc: 0.5946  lr: 0.0000 
ep/it:316- 171 niter:121200  627m 49s (- 2348m 8s) completed: 21%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0520  acc: 0.5929  lr: 0.0000 
ep/it:316- 221 niter:121250  628m 4s (- 2347m 49s) completed: 21%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0511  acc: 0.5971  lr: 0.0000 
ep/it:316- 271 niter:121300  628m 18s (- 2347m 28s) completed: 21%) loss_emb: 0.0000  loss: 1.4334  loss_TTT: 0.0529  acc: 0.5895  lr: 0.0000 
ep/it:316- 321 niter:121350  628m 32s (- 2347m 7s) completed: 21%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0525  acc: 0.5992  lr: 0.0000 
ep/it:316- 371 niter:121400  628m 46s (- 2346m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0530  acc: 0.6034  lr: 0.0000 
Validation loss:1.626, accuracy:0.559
ep/it:317-  38 niter:121450  629m 3s (- 2346m 35s) completed: 21%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0530  acc: 0.5925  lr: 0.0000 
ep/it:317-  88 niter:121500  629m 17s (- 2346m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0519  acc: 0.5942  lr: 0.0000 
ep/it:317- 138 niter:121550  629m 32s (- 2345m 57s) completed: 21%) loss_emb: 0.0000  loss: 1.4156  loss_TTT: 0.0512  acc: 0.5925  lr: 0.0000 
ep/it:317- 188 niter:121600  629m 46s (- 2345m 36s) completed: 21%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0501  acc: 0.5904  lr: 0.0000 
ep/it:317- 238 niter:121650  630m 1s (- 2345m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0506  acc: 0.6032  lr: 0.0000 
ep/it:317- 288 niter:121700  630m 15s (- 2344m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.4129  loss_TTT: 0.0545  acc: 0.5956  lr: 0.0000 
ep/it:317- 338 niter:121750  630m 30s (- 2344m 38s) completed: 21%) loss_emb: 0.0000  loss: 1.4448  loss_TTT: 0.0524  acc: 0.5852  lr: 0.0000 
Validation loss:1.613, accuracy:0.561
ep/it:318-   5 niter:121800  630m 47s (- 2344m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0515  acc: 0.5954  lr: 0.0000 
ep/it:318-  55 niter:121850  631m 1s (- 2344m 9s) completed: 21%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0522  acc: 0.5989  lr: 0.0000 
ep/it:318- 105 niter:121900  631m 15s (- 2343m 49s) completed: 21%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0524  acc: 0.5948  lr: 0.0000 
ep/it:318- 155 niter:121950  631m 31s (- 2343m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0505  acc: 0.6051  lr: 0.0000 
ep/it:318- 205 niter:122000  631m 45s (- 2343m 12s) completed: 21%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0524  acc: 0.5934  lr: 0.0000 
ep/it:318- 255 niter:122050  632m 0s (- 2342m 53s) completed: 21%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0522  acc: 0.5905  lr: 0.0000 
ep/it:318- 305 niter:122100  632m 14s (- 2342m 33s) completed: 21%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0506  acc: 0.5943  lr: 0.0000 
ep/it:318- 355 niter:122150  632m 28s (- 2342m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0510  acc: 0.5990  lr: 0.0000 
Validation loss:1.588, accuracy:0.568
ep/it:319-  22 niter:122200  632m 46s (- 2342m 4s) completed: 21%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0489  acc: 0.5963  lr: 0.0000 
ep/it:319-  72 niter:122250  633m 0s (- 2341m 45s) completed: 21%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0517  acc: 0.5919  lr: 0.0000 
ep/it:319- 122 niter:122300  633m 15s (- 2341m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0534  acc: 0.5968  lr: 0.0000 
ep/it:319- 172 niter:122350  633m 29s (- 2341m 5s) completed: 21%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0539  acc: 0.5910  lr: 0.0000 
ep/it:319- 222 niter:122400  633m 44s (- 2340m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0514  acc: 0.5981  lr: 0.0000 
ep/it:319- 272 niter:122450  633m 59s (- 2340m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0505  acc: 0.5937  lr: 0.0000 
ep/it:319- 322 niter:122500  634m 13s (- 2340m 9s) completed: 21%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0506  acc: 0.5905  lr: 0.0000 
ep/it:319- 372 niter:122550  634m 27s (- 2339m 49s) completed: 21%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0525  acc: 0.6068  lr: 0.0000 
Validation loss:1.611, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.73it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.65s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.45766106899828 avg: 38.45766106899828
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.351174376904964 avg: 38.40441772295162
--> 	 Eva. Repeat 0 :, FID. 0.0932, Diversity Real. 9.4166, Diversity. 9.5487, R_precision_real. [0.51367188 0.70410156 0.80371094], R_precision. [0.50488281 0.68261719 0.78515625], matching_score_real. 2.9137, matching_score_pred. 2.9823, skate_ratio. 0.0472, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0684 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0102 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0280 
ep/it:320-  39 niter:122600  636m 2s (- 2344m 27s) completed: 21%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0526  acc: 0.6020  lr: 0.0000 
ep/it:320-  89 niter:122650  636m 17s (- 2344m 8s) completed: 21%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0508  acc: 0.5983  lr: 0.0000 
ep/it:320- 139 niter:122700  636m 32s (- 2343m 49s) completed: 21%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0515  acc: 0.5956  lr: 0.0000 
ep/it:320- 189 niter:122750  636m 46s (- 2343m 30s) completed: 21%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0520  acc: 0.5970  lr: 0.0000 
ep/it:320- 239 niter:122800  637m 1s (- 2343m 11s) completed: 21%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0512  acc: 0.5919  lr: 0.0000 
ep/it:320- 289 niter:122850  637m 15s (- 2342m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0530  acc: 0.5970  lr: 0.0000 
ep/it:320- 339 niter:122900  637m 30s (- 2342m 32s) completed: 21%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0516  acc: 0.6028  lr: 0.0000 
Validation loss:1.658, accuracy:0.548
ep/it:321-   6 niter:122950  637m 47s (- 2342m 23s) completed: 21%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0514  acc: 0.5956  lr: 0.0000 
ep/it:321-  56 niter:123000  638m 2s (- 2342m 4s) completed: 21%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0510  acc: 0.5951  lr: 0.0000 
ep/it:321- 106 niter:123050  638m 16s (- 2341m 45s) completed: 21%) loss_emb: 0.0000  loss: 1.4443  loss_TTT: 0.0535  acc: 0.5870  lr: 0.0000 
ep/it:321- 156 niter:123100  638m 31s (- 2341m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0526  acc: 0.5907  lr: 0.0000 
ep/it:321- 206 niter:123150  638m 46s (- 2341m 7s) completed: 21%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0508  acc: 0.5961  lr: 0.0000 
ep/it:321- 256 niter:123200  639m 0s (- 2340m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0504  acc: 0.5959  lr: 0.0000 
ep/it:321- 306 niter:123250  639m 15s (- 2340m 27s) completed: 21%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0514  acc: 0.5953  lr: 0.0000 
ep/it:321- 356 niter:123300  639m 29s (- 2340m 6s) completed: 21%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0497  acc: 0.5925  lr: 0.0000 
Validation loss:1.610, accuracy:0.561
ep/it:322-  23 niter:123350  639m 46s (- 2339m 56s) completed: 21%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0532  acc: 0.5909  lr: 0.0000 
ep/it:322-  73 niter:123400  640m 0s (- 2339m 35s) completed: 21%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0518  acc: 0.5925  lr: 0.0000 
ep/it:322- 123 niter:123450  640m 14s (- 2339m 15s) completed: 21%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0521  acc: 0.6017  lr: 0.0000 
ep/it:322- 173 niter:123500  640m 29s (- 2338m 56s) completed: 21%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0510  acc: 0.5999  lr: 0.0000 
ep/it:322- 223 niter:123550  640m 43s (- 2338m 37s) completed: 21%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0513  acc: 0.5916  lr: 0.0000 
ep/it:322- 273 niter:123600  640m 57s (- 2338m 15s) completed: 21%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0520  acc: 0.5994  lr: 0.0000 
ep/it:322- 323 niter:123650  641m 11s (- 2337m 54s) completed: 21%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0529  acc: 0.5986  lr: 0.0000 
ep/it:322- 373 niter:123700  641m 25s (- 2337m 33s) completed: 21%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0508  acc: 0.5960  lr: 0.0000 
Validation loss:1.574, accuracy:0.570
ep/it:323-  40 niter:123750  641m 42s (- 2337m 23s) completed: 21%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0518  acc: 0.5912  lr: 0.0000 
ep/it:323-  90 niter:123800  641m 57s (- 2337m 3s) completed: 21%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0533  acc: 0.5993  lr: 0.0000 
ep/it:323- 140 niter:123850  642m 11s (- 2336m 44s) completed: 21%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0534  acc: 0.5970  lr: 0.0000 
ep/it:323- 190 niter:123900  642m 26s (- 2336m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0515  acc: 0.5925  lr: 0.0000 
ep/it:323- 240 niter:123950  642m 41s (- 2336m 6s) completed: 21%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0497  acc: 0.6010  lr: 0.0000 
ep/it:323- 290 niter:124000  642m 55s (- 2335m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.4318  loss_TTT: 0.0518  acc: 0.5900  lr: 0.0000 
ep/it:323- 340 niter:124050  643m 10s (- 2335m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0505  acc: 0.5995  lr: 0.0000 
Validation loss:1.623, accuracy:0.559
ep/it:324-   7 niter:124100  643m 27s (- 2335m 18s) completed: 21%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0493  acc: 0.5959  lr: 0.0000 
ep/it:324-  57 niter:124150  643m 41s (- 2334m 56s) completed: 21%) loss_emb: 0.0000  loss: 1.4073  loss_TTT: 0.0520  acc: 0.5960  lr: 0.0000 
ep/it:324- 107 niter:124200  643m 55s (- 2334m 35s) completed: 21%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0507  acc: 0.5965  lr: 0.0000 
ep/it:324- 157 niter:124250  644m 9s (- 2334m 14s) completed: 21%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0516  acc: 0.5959  lr: 0.0000 
ep/it:324- 207 niter:124300  644m 23s (- 2333m 55s) completed: 21%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0524  acc: 0.5976  lr: 0.0000 
ep/it:324- 257 niter:124350  644m 38s (- 2333m 36s) completed: 21%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0519  acc: 0.5863  lr: 0.0000 
ep/it:324- 307 niter:124400  644m 52s (- 2333m 17s) completed: 21%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0501  acc: 0.5927  lr: 0.0000 
ep/it:324- 357 niter:124450  645m 7s (- 2332m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0507  acc: 0.5995  lr: 0.0000 
Validation loss:1.578, accuracy:0.569
ep/it:325-  24 niter:124500  645m 24s (- 2332m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0528  acc: 0.5953  lr: 0.0000 
ep/it:325-  74 niter:124550  645m 39s (- 2332m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0513  acc: 0.5985  lr: 0.0000 
ep/it:325- 124 niter:124600  645m 53s (- 2332m 9s) completed: 21%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0509  acc: 0.5976  lr: 0.0000 
ep/it:325- 174 niter:124650  646m 7s (- 2331m 49s) completed: 21%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0497  acc: 0.6026  lr: 0.0000 
ep/it:325- 224 niter:124700  646m 22s (- 2331m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0516  acc: 0.5972  lr: 0.0000 
ep/it:325- 274 niter:124750  646m 36s (- 2331m 11s) completed: 21%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0515  acc: 0.5944  lr: 0.0000 
ep/it:325- 324 niter:124800  646m 51s (- 2330m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0497  acc: 0.6010  lr: 0.0000 
ep/it:325- 374 niter:124850  647m 5s (- 2330m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0504  acc: 0.5997  lr: 0.0000 
Validation loss:1.584, accuracy:0.569
ep/it:326-  41 niter:124900  647m 23s (- 2330m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0514  acc: 0.5940  lr: 0.0000 
ep/it:326-  91 niter:124950  647m 37s (- 2330m 3s) completed: 21%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0509  acc: 0.5933  lr: 0.0000 
ep/it:326- 141 niter:125000  647m 51s (- 2329m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0500  acc: 0.5908  lr: 0.0000 
ep/it:326- 191 niter:125050  648m 6s (- 2329m 24s) completed: 21%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0523  acc: 0.5988  lr: 0.0000 
ep/it:326- 241 niter:125100  648m 20s (- 2329m 4s) completed: 21%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0510  acc: 0.5969  lr: 0.0000 
ep/it:326- 291 niter:125150  648m 35s (- 2328m 44s) completed: 21%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0512  acc: 0.5986  lr: 0.0000 
ep/it:326- 341 niter:125200  648m 49s (- 2328m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0522  acc: 0.5893  lr: 0.0000 
Validation loss:1.561, accuracy:0.572
ep/it:327-   8 niter:125250  649m 6s (- 2328m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0498  acc: 0.5992  lr: 0.0000 
ep/it:327-  58 niter:125300  649m 21s (- 2327m 57s) completed: 21%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0535  acc: 0.5976  lr: 0.0000 
ep/it:327- 108 niter:125350  649m 35s (- 2327m 36s) completed: 21%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0517  acc: 0.6015  lr: 0.0000 
ep/it:327- 158 niter:125400  649m 50s (- 2327m 18s) completed: 21%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0535  acc: 0.5877  lr: 0.0000 
ep/it:327- 208 niter:125450  650m 5s (- 2326m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0529  acc: 0.5949  lr: 0.0000 
ep/it:327- 258 niter:125500  650m 19s (- 2326m 39s) completed: 21%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0529  acc: 0.5920  lr: 0.0000 
ep/it:327- 308 niter:125550  650m 34s (- 2326m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0518  acc: 0.5958  lr: 0.0000 
ep/it:327- 358 niter:125600  650m 49s (- 2326m 3s) completed: 21%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0508  acc: 0.6046  lr: 0.0000 
Validation loss:1.636, accuracy:0.556
ep/it:328-  25 niter:125650  651m 6s (- 2325m 54s) completed: 21%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0514  acc: 0.5896  lr: 0.0000 
ep/it:328-  75 niter:125700  651m 20s (- 2325m 34s) completed: 21%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0515  acc: 0.5929  lr: 0.0000 
ep/it:328- 125 niter:125750  651m 34s (- 2325m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0495  acc: 0.5954  lr: 0.0000 
ep/it:328- 175 niter:125800  651m 49s (- 2324m 55s) completed: 21%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0518  acc: 0.5974  lr: 0.0000 
ep/it:328- 225 niter:125850  652m 3s (- 2324m 35s) completed: 21%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0486  acc: 0.5885  lr: 0.0000 
ep/it:328- 275 niter:125900  652m 18s (- 2324m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0512  acc: 0.5920  lr: 0.0000 
ep/it:328- 325 niter:125950  652m 33s (- 2323m 57s) completed: 21%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0521  acc: 0.5948  lr: 0.0000 
ep/it:328- 375 niter:126000  652m 47s (- 2323m 38s) completed: 21%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0513  acc: 0.5991  lr: 0.0000 
Validation loss:1.608, accuracy:0.561
ep/it:329-  42 niter:126050  653m 4s (- 2323m 28s) completed: 21%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0516  acc: 0.5960  lr: 0.0000 
ep/it:329-  92 niter:126100  653m 19s (- 2323m 10s) completed: 21%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0511  acc: 0.6034  lr: 0.0000 
ep/it:329- 142 niter:126150  653m 34s (- 2322m 50s) completed: 21%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0527  acc: 0.6013  lr: 0.0000 
ep/it:329- 192 niter:126200  653m 48s (- 2322m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0499  acc: 0.5902  lr: 0.0000 
ep/it:329- 242 niter:126250  654m 3s (- 2322m 12s) completed: 21%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0520  acc: 0.5967  lr: 0.0000 
ep/it:329- 292 niter:126300  654m 17s (- 2321m 52s) completed: 21%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0499  acc: 0.6006  lr: 0.0000 
ep/it:329- 342 niter:126350  654m 31s (- 2321m 33s) completed: 21%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0535  acc: 0.5980  lr: 0.0000 
Validation loss:1.547, accuracy:0.577

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.96it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.56499357987195 avg: 38.56499357987195
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.620430569164455 avg: 38.592712074518204
--> 	 Eva. Repeat 0 :, FID. 0.0898, Diversity Real. 9.5673, Diversity. 9.6715, R_precision_real. [0.5078125  0.71582031 0.81152344], R_precision. [0.5        0.70410156 0.80761719], matching_score_real. 2.8633, matching_score_pred. 2.9182, skate_ratio. 0.0480, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0713 (traj_fail_50cm (Traj err)): 0.0127 (kps_fail_20cm): 0.0125 (kps_fail_50cm (Loc. err)): 0.0024 (kps_mean_err(m) (Avg. err)): 0.0301 
ep/it:330-   9 niter:126400  656m 8s (- 2326m 3s) completed: 22%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0493  acc: 0.5985  lr: 0.0000 
ep/it:330-  59 niter:126450  656m 22s (- 2325m 43s) completed: 22%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0496  acc: 0.5981  lr: 0.0000 
ep/it:330- 109 niter:126500  656m 36s (- 2325m 24s) completed: 22%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0515  acc: 0.5947  lr: 0.0000 
ep/it:330- 159 niter:126550  656m 51s (- 2325m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0519  acc: 0.6034  lr: 0.0000 
ep/it:330- 209 niter:126600  657m 6s (- 2324m 46s) completed: 22%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0489  acc: 0.6004  lr: 0.0000 
ep/it:330- 259 niter:126650  657m 20s (- 2324m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0498  acc: 0.6012  lr: 0.0000 
ep/it:330- 309 niter:126700  657m 35s (- 2324m 7s) completed: 22%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0512  acc: 0.5941  lr: 0.0000 
ep/it:330- 359 niter:126750  657m 49s (- 2323m 48s) completed: 22%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0519  acc: 0.5927  lr: 0.0000 
Validation loss:1.590, accuracy:0.568
ep/it:331-  26 niter:126800  658m 6s (- 2323m 37s) completed: 22%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0506  acc: 0.6031  lr: 0.0000 
ep/it:331-  76 niter:126850  658m 21s (- 2323m 19s) completed: 22%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0499  acc: 0.6008  lr: 0.0000 
ep/it:331- 126 niter:126900  658m 35s (- 2323m 0s) completed: 22%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0507  acc: 0.6018  lr: 0.0000 
ep/it:331- 176 niter:126950  658m 50s (- 2322m 40s) completed: 22%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0520  acc: 0.5936  lr: 0.0000 
ep/it:331- 226 niter:127000  659m 4s (- 2322m 21s) completed: 22%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0524  acc: 0.5950  lr: 0.0000 
ep/it:331- 276 niter:127050  659m 19s (- 2322m 3s) completed: 22%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0491  acc: 0.5988  lr: 0.0000 
ep/it:331- 326 niter:127100  659m 34s (- 2321m 43s) completed: 22%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0506  acc: 0.6043  lr: 0.0000 
ep/it:331- 376 niter:127150  659m 48s (- 2321m 23s) completed: 22%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0527  acc: 0.5908  lr: 0.0000 
Validation loss:1.588, accuracy:0.567
ep/it:332-  43 niter:127200  660m 5s (- 2321m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0506  acc: 0.6018  lr: 0.0000 
ep/it:332-  93 niter:127250  660m 20s (- 2320m 54s) completed: 22%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0517  acc: 0.5993  lr: 0.0000 
ep/it:332- 143 niter:127300  660m 34s (- 2320m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0510  acc: 0.6004  lr: 0.0000 
ep/it:332- 193 niter:127350  660m 49s (- 2320m 17s) completed: 22%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0526  acc: 0.5946  lr: 0.0000 
ep/it:332- 243 niter:127400  661m 4s (- 2319m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0512  acc: 0.5937  lr: 0.0000 
ep/it:332- 293 niter:127450  661m 19s (- 2319m 41s) completed: 22%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0529  acc: 0.5905  lr: 0.0000 
ep/it:332- 343 niter:127500  661m 33s (- 2319m 21s) completed: 22%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0511  acc: 0.5931  lr: 0.0000 
Validation loss:1.574, accuracy:0.570
ep/it:333-  10 niter:127550  661m 50s (- 2319m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0513  acc: 0.5950  lr: 0.0000 
ep/it:333-  60 niter:127600  662m 5s (- 2318m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0536  acc: 0.5932  lr: 0.0000 
ep/it:333- 110 niter:127650  662m 19s (- 2318m 31s) completed: 22%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0524  acc: 0.5922  lr: 0.0000 
ep/it:333- 160 niter:127700  662m 33s (- 2318m 10s) completed: 22%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0530  acc: 0.5902  lr: 0.0000 
ep/it:333- 210 niter:127750  662m 47s (- 2317m 50s) completed: 22%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0521  acc: 0.5945  lr: 0.0000 
ep/it:333- 260 niter:127800  663m 1s (- 2317m 29s) completed: 22%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0503  acc: 0.5936  lr: 0.0000 
ep/it:333- 310 niter:127850  663m 15s (- 2317m 8s) completed: 22%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0513  acc: 0.5937  lr: 0.0000 
ep/it:333- 360 niter:127900  663m 30s (- 2316m 49s) completed: 22%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0497  acc: 0.5921  lr: 0.0000 
Validation loss:1.619, accuracy:0.561
ep/it:334-  27 niter:127950  663m 47s (- 2316m 39s) completed: 22%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0524  acc: 0.5966  lr: 0.0000 
ep/it:334-  77 niter:128000  664m 1s (- 2316m 19s) completed: 22%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0508  acc: 0.5937  lr: 0.0000 
ep/it:334- 127 niter:128050  664m 16s (- 2315m 59s) completed: 22%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0542  acc: 0.5925  lr: 0.0000 
ep/it:334- 177 niter:128100  664m 30s (- 2315m 39s) completed: 22%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0510  acc: 0.5986  lr: 0.0000 
ep/it:334- 227 niter:128150  664m 44s (- 2315m 18s) completed: 22%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0512  acc: 0.5952  lr: 0.0000 
ep/it:334- 277 niter:128200  664m 58s (- 2314m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0530  acc: 0.5939  lr: 0.0000 
ep/it:334- 327 niter:128250  665m 12s (- 2314m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0492  acc: 0.6014  lr: 0.0000 
ep/it:334- 377 niter:128300  665m 26s (- 2314m 15s) completed: 22%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0511  acc: 0.5946  lr: 0.0000 
Validation loss:1.603, accuracy:0.564
ep/it:335-  44 niter:128350  665m 42s (- 2314m 2s) completed: 22%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0513  acc: 0.5906  lr: 0.0000 
ep/it:335-  94 niter:128400  665m 57s (- 2313m 44s) completed: 22%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0521  acc: 0.5964  lr: 0.0000 
ep/it:335- 144 niter:128450  666m 12s (- 2313m 27s) completed: 22%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0497  acc: 0.5937  lr: 0.0000 
ep/it:335- 194 niter:128500  666m 27s (- 2313m 8s) completed: 22%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0515  acc: 0.5944  lr: 0.0000 
ep/it:335- 244 niter:128550  666m 42s (- 2312m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0507  acc: 0.5966  lr: 0.0000 
ep/it:335- 294 niter:128600  666m 56s (- 2312m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0514  acc: 0.5963  lr: 0.0000 
ep/it:335- 344 niter:128650  667m 11s (- 2312m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0518  acc: 0.5999  lr: 0.0000 
Validation loss:1.607, accuracy:0.562
ep/it:336-  11 niter:128700  667m 28s (- 2312m 2s) completed: 22%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0495  acc: 0.5965  lr: 0.0000 
ep/it:336-  61 niter:128750  667m 42s (- 2311m 41s) completed: 22%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0509  acc: 0.5991  lr: 0.0000 
ep/it:336- 111 niter:128800  667m 56s (- 2311m 20s) completed: 22%) loss_emb: 0.0000  loss: 1.4387  loss_TTT: 0.0525  acc: 0.5881  lr: 0.0000 
ep/it:336- 161 niter:128850  668m 10s (- 2311m 0s) completed: 22%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0495  acc: 0.6015  lr: 0.0000 
ep/it:336- 211 niter:128900  668m 25s (- 2310m 41s) completed: 22%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0498  acc: 0.6012  lr: 0.0000 
ep/it:336- 261 niter:128950  668m 39s (- 2310m 20s) completed: 22%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0511  acc: 0.6026  lr: 0.0000 
ep/it:336- 311 niter:129000  668m 53s (- 2310m 0s) completed: 22%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0523  acc: 0.5938  lr: 0.0000 
ep/it:336- 361 niter:129050  669m 8s (- 2309m 43s) completed: 22%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0485  acc: 0.5992  lr: 0.0000 
Validation loss:1.628, accuracy:0.558
ep/it:337-  28 niter:129100  669m 26s (- 2309m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0512  acc: 0.5937  lr: 0.0000 
ep/it:337-  78 niter:129150  669m 40s (- 2309m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0523  acc: 0.5956  lr: 0.0000 
ep/it:337- 128 niter:129200  669m 54s (- 2308m 53s) completed: 22%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0508  acc: 0.6029  lr: 0.0000 
ep/it:337- 178 niter:129250  670m 8s (- 2308m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0500  acc: 0.5971  lr: 0.0000 
ep/it:337- 228 niter:129300  670m 23s (- 2308m 15s) completed: 22%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0507  acc: 0.6019  lr: 0.0000 
ep/it:337- 278 niter:129350  670m 37s (- 2307m 55s) completed: 22%) loss_emb: 0.0000  loss: 1.4391  loss_TTT: 0.0524  acc: 0.5872  lr: 0.0000 
ep/it:337- 328 niter:129400  670m 51s (- 2307m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.4251  loss_TTT: 0.0529  acc: 0.5908  lr: 0.0000 
ep/it:337- 378 niter:129450  671m 6s (- 2307m 15s) completed: 22%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0514  acc: 0.5984  lr: 0.0000 
Validation loss:1.590, accuracy:0.568
ep/it:338-  45 niter:129500  671m 22s (- 2307m 3s) completed: 22%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0535  acc: 0.5941  lr: 0.0000 
ep/it:338-  95 niter:129550  671m 37s (- 2306m 43s) completed: 22%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0499  acc: 0.5965  lr: 0.0000 
ep/it:338- 145 niter:129600  671m 51s (- 2306m 24s) completed: 22%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0503  acc: 0.5894  lr: 0.0000 
ep/it:338- 195 niter:129650  672m 5s (- 2306m 3s) completed: 22%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0510  acc: 0.5956  lr: 0.0000 
ep/it:338- 245 niter:129700  672m 19s (- 2305m 43s) completed: 22%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0490  acc: 0.5880  lr: 0.0000 
ep/it:338- 295 niter:129750  672m 33s (- 2305m 21s) completed: 22%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0496  acc: 0.5952  lr: 0.0000 
ep/it:338- 345 niter:129800  672m 47s (- 2305m 1s) completed: 22%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0527  acc: 0.5937  lr: 0.0000 
Validation loss:1.648, accuracy:0.552
ep/it:339-  12 niter:129850  673m 4s (- 2304m 50s) completed: 22%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0525  acc: 0.5946  lr: 0.0000 
ep/it:339-  62 niter:129900  673m 18s (- 2304m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0521  acc: 0.5967  lr: 0.0000 
ep/it:339- 112 niter:129950  673m 33s (- 2304m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0499  acc: 0.5932  lr: 0.0000 
ep/it:339- 162 niter:130000  673m 47s (- 2303m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0507  acc: 0.5953  lr: 0.0000 
ep/it:339- 212 niter:130050  674m 2s (- 2303m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0491  acc: 0.5907  lr: 0.0000 
ep/it:339- 262 niter:130100  674m 16s (- 2303m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0487  acc: 0.6037  lr: 0.0000 
ep/it:339- 312 niter:130150  674m 30s (- 2302m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0531  acc: 0.5958  lr: 0.0000 
ep/it:339- 362 niter:130200  674m 44s (- 2302m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0514  acc: 0.5977  lr: 0.0000 
Validation loss:1.550, accuracy:0.576

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.81it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.26787307485938 avg: 38.26787307485938
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.93141338694841 avg: 38.599643230903894
--> 	 Eva. Repeat 0 :, FID. 0.1039, Diversity Real. 9.8097, Diversity. 9.8201, R_precision_real. [0.50488281 0.69628906 0.77734375], R_precision. [0.53125    0.70898438 0.8046875 ], matching_score_real. 2.9642, matching_score_pred. 2.9773, skate_ratio. 0.0488, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0811 (traj_fail_50cm (Traj err)): 0.0137 (kps_fail_20cm): 0.0154 (kps_fail_50cm (Loc. err)): 0.0018 (kps_mean_err(m) (Avg. err)): 0.0304 
ep/it:340-  29 niter:130250  676m 19s (- 2306m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0512  acc: 0.6044  lr: 0.0000 
ep/it:340-  79 niter:130300  676m 34s (- 2306m 28s) completed: 22%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0514  acc: 0.6003  lr: 0.0000 
ep/it:340- 129 niter:130350  676m 48s (- 2306m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0512  acc: 0.5915  lr: 0.0000 
ep/it:340- 179 niter:130400  677m 2s (- 2305m 46s) completed: 22%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0515  acc: 0.5978  lr: 0.0000 
ep/it:340- 229 niter:130450  677m 16s (- 2305m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0510  acc: 0.6006  lr: 0.0000 
ep/it:340- 279 niter:130500  677m 30s (- 2305m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.4291  loss_TTT: 0.0528  acc: 0.5896  lr: 0.0000 
ep/it:340- 329 niter:130550  677m 45s (- 2304m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0488  acc: 0.5957  lr: 0.0000 
ep/it:340- 379 niter:130600  677m 59s (- 2304m 27s) completed: 22%) loss_emb: 0.0000  loss: 1.4190  loss_TTT: 0.0526  acc: 0.5922  lr: 0.0000 
Validation loss:1.606, accuracy:0.564
ep/it:341-  46 niter:130650  678m 17s (- 2304m 18s) completed: 22%) loss_emb: 0.0000  loss: 1.4333  loss_TTT: 0.0523  acc: 0.5876  lr: 0.0000 
ep/it:341-  96 niter:130700  678m 31s (- 2303m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0525  acc: 0.5972  lr: 0.0000 
ep/it:341- 146 niter:130750  678m 46s (- 2303m 40s) completed: 22%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0510  acc: 0.5985  lr: 0.0000 
ep/it:341- 196 niter:130800  679m 0s (- 2303m 21s) completed: 22%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0488  acc: 0.5992  lr: 0.0000 
ep/it:341- 246 niter:130850  679m 15s (- 2303m 2s) completed: 22%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0532  acc: 0.5964  lr: 0.0000 
ep/it:341- 296 niter:130900  679m 30s (- 2302m 45s) completed: 22%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0496  acc: 0.5918  lr: 0.0000 
ep/it:341- 346 niter:130950  679m 45s (- 2302m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0512  acc: 0.5982  lr: 0.0000 
Validation loss:1.605, accuracy:0.561
ep/it:342-  13 niter:131000  680m 1s (- 2302m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0514  acc: 0.5990  lr: 0.0000 
ep/it:342-  63 niter:131050  680m 16s (- 2301m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0521  acc: 0.6004  lr: 0.0000 
ep/it:342- 113 niter:131100  680m 30s (- 2301m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0516  acc: 0.5974  lr: 0.0000 
ep/it:342- 163 niter:131150  680m 44s (- 2301m 15s) completed: 22%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0495  acc: 0.6020  lr: 0.0000 
ep/it:342- 213 niter:131200  680m 59s (- 2300m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0506  acc: 0.5967  lr: 0.0000 
ep/it:342- 263 niter:131250  681m 13s (- 2300m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0487  acc: 0.5970  lr: 0.0000 
ep/it:342- 313 niter:131300  681m 28s (- 2300m 16s) completed: 22%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0505  acc: 0.5918  lr: 0.0000 
ep/it:342- 363 niter:131350  681m 42s (- 2299m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0507  acc: 0.5917  lr: 0.0000 
Validation loss:1.560, accuracy:0.573
ep/it:343-  30 niter:131400  681m 59s (- 2299m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0496  acc: 0.5964  lr: 0.0000 
ep/it:343-  80 niter:131450  682m 14s (- 2299m 29s) completed: 22%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0489  acc: 0.5954  lr: 0.0000 
ep/it:343- 130 niter:131500  682m 28s (- 2299m 9s) completed: 22%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0507  acc: 0.5928  lr: 0.0000 
ep/it:343- 180 niter:131550  682m 43s (- 2298m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0536  acc: 0.5937  lr: 0.0000 
ep/it:343- 230 niter:131600  682m 58s (- 2298m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0521  acc: 0.5953  lr: 0.0000 
ep/it:343- 280 niter:131650  683m 13s (- 2298m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0502  acc: 0.6004  lr: 0.0000 
ep/it:343- 330 niter:131700  683m 27s (- 2297m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0518  acc: 0.5993  lr: 0.0000 
ep/it:343- 380 niter:131750  683m 42s (- 2297m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0519  acc: 0.5924  lr: 0.0000 
Validation loss:1.615, accuracy:0.560
ep/it:344-  47 niter:131800  683m 59s (- 2297m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0509  acc: 0.5969  lr: 0.0000 
ep/it:344-  97 niter:131850  684m 14s (- 2297m 7s) completed: 22%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0509  acc: 0.5988  lr: 0.0000 
ep/it:344- 147 niter:131900  684m 28s (- 2296m 48s) completed: 22%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0519  acc: 0.5936  lr: 0.0000 
ep/it:344- 197 niter:131950  684m 42s (- 2296m 27s) completed: 22%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0510  acc: 0.6031  lr: 0.0000 
ep/it:344- 247 niter:132000  684m 56s (- 2296m 8s) completed: 22%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0531  acc: 0.5951  lr: 0.0000 
ep/it:344- 297 niter:132050  685m 11s (- 2295m 50s) completed: 22%) loss_emb: 0.0000  loss: 1.4342  loss_TTT: 0.0511  acc: 0.5886  lr: 0.0000 
ep/it:344- 347 niter:132100  685m 26s (- 2295m 31s) completed: 22%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0495  acc: 0.5994  lr: 0.0000 
Validation loss:1.631, accuracy:0.557
ep/it:345-  14 niter:132150  685m 44s (- 2295m 22s) completed: 23%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0520  acc: 0.5905  lr: 0.0000 
ep/it:345-  64 niter:132200  685m 59s (- 2295m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0487  acc: 0.5932  lr: 0.0000 
ep/it:345- 114 niter:132250  686m 13s (- 2294m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0518  acc: 0.6032  lr: 0.0000 
ep/it:345- 164 niter:132300  686m 28s (- 2294m 27s) completed: 23%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0478  acc: 0.6014  lr: 0.0000 
ep/it:345- 214 niter:132350  686m 43s (- 2294m 10s) completed: 23%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0513  acc: 0.5979  lr: 0.0000 
ep/it:345- 264 niter:132400  686m 57s (- 2293m 51s) completed: 23%) loss_emb: 0.0000  loss: 1.4421  loss_TTT: 0.0551  acc: 0.5867  lr: 0.0000 
ep/it:345- 314 niter:132450  687m 12s (- 2293m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0498  acc: 0.5912  lr: 0.0000 
ep/it:345- 364 niter:132500  687m 26s (- 2293m 13s) completed: 23%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0519  acc: 0.5939  lr: 0.0000 
Validation loss:1.605, accuracy:0.563
ep/it:346-  31 niter:132550  687m 44s (- 2293m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0516  acc: 0.5948  lr: 0.0000 
ep/it:346-  81 niter:132600  687m 59s (- 2292m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0514  acc: 0.5998  lr: 0.0000 
ep/it:346- 131 niter:132650  688m 13s (- 2292m 26s) completed: 23%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0510  acc: 0.5940  lr: 0.0000 
ep/it:346- 181 niter:132700  688m 27s (- 2292m 6s) completed: 23%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0501  acc: 0.5968  lr: 0.0000 
ep/it:346- 231 niter:132750  688m 41s (- 2291m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0512  acc: 0.5948  lr: 0.0000 
ep/it:346- 281 niter:132800  688m 56s (- 2291m 26s) completed: 23%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0512  acc: 0.5963  lr: 0.0000 
ep/it:346- 331 niter:132850  689m 10s (- 2291m 6s) completed: 23%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0522  acc: 0.5941  lr: 0.0000 
ep/it:346- 381 niter:132900  689m 24s (- 2290m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0502  acc: 0.5959  lr: 0.0000 
Validation loss:1.616, accuracy:0.559
ep/it:347-  48 niter:132950  689m 41s (- 2290m 34s) completed: 23%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0521  acc: 0.5958  lr: 0.0000 
ep/it:347-  98 niter:133000  689m 55s (- 2290m 15s) completed: 23%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0515  acc: 0.5953  lr: 0.0000 
ep/it:347- 148 niter:133050  690m 10s (- 2289m 56s) completed: 23%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0512  acc: 0.5986  lr: 0.0000 
ep/it:347- 198 niter:133100  690m 24s (- 2289m 37s) completed: 23%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0529  acc: 0.5951  lr: 0.0000 
ep/it:347- 248 niter:133150  690m 39s (- 2289m 17s) completed: 23%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0510  acc: 0.5969  lr: 0.0000 
ep/it:347- 298 niter:133200  690m 53s (- 2288m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0508  acc: 0.5974  lr: 0.0000 
ep/it:347- 348 niter:133250  691m 8s (- 2288m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0505  acc: 0.6053  lr: 0.0000 
Validation loss:1.625, accuracy:0.558
ep/it:348-  15 niter:133300  691m 26s (- 2288m 33s) completed: 23%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0490  acc: 0.5973  lr: 0.0000 
ep/it:348-  65 niter:133350  691m 41s (- 2288m 15s) completed: 23%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0511  acc: 0.5967  lr: 0.0000 
ep/it:348- 115 niter:133400  691m 56s (- 2287m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0512  acc: 0.5927  lr: 0.0000 
ep/it:348- 165 niter:133450  692m 11s (- 2287m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0501  acc: 0.5903  lr: 0.0000 
ep/it:348- 215 niter:133500  692m 26s (- 2287m 22s) completed: 23%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0531  acc: 0.5926  lr: 0.0000 
ep/it:348- 265 niter:133550  692m 41s (- 2287m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0485  acc: 0.5962  lr: 0.0000 
ep/it:348- 315 niter:133600  692m 55s (- 2286m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0527  acc: 0.5973  lr: 0.0000 
ep/it:348- 365 niter:133650  693m 10s (- 2286m 27s) completed: 23%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0507  acc: 0.6012  lr: 0.0000 
Validation loss:1.626, accuracy:0.559
ep/it:349-  32 niter:133700  693m 27s (- 2286m 16s) completed: 23%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0514  acc: 0.5946  lr: 0.0000 
ep/it:349-  82 niter:133750  693m 41s (- 2285m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0502  acc: 0.5979  lr: 0.0000 
ep/it:349- 132 niter:133800  693m 56s (- 2285m 38s) completed: 23%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0512  acc: 0.5942  lr: 0.0000 
ep/it:349- 182 niter:133850  694m 10s (- 2285m 17s) completed: 23%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0522  acc: 0.5937  lr: 0.0000 
ep/it:349- 232 niter:133900  694m 24s (- 2284m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0501  acc: 0.5966  lr: 0.0000 
ep/it:349- 282 niter:133950  694m 38s (- 2284m 38s) completed: 23%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0499  acc: 0.5969  lr: 0.0000 
ep/it:349- 332 niter:134000  694m 53s (- 2284m 19s) completed: 23%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0527  acc: 0.5896  lr: 0.0000 
ep/it:349- 382 niter:134050  695m 8s (- 2284m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0511  acc: 0.5934  lr: 0.0000 
Validation loss:1.555, accuracy:0.574

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.57it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.692091387696564 avg: 38.692091387696564
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.73488199245185 avg: 38.713486690074205
--> 	 Eva. Repeat 0 :, FID. 0.0914, Diversity Real. 9.4479, Diversity. 9.4113, R_precision_real. [0.50683594 0.71777344 0.81738281], R_precision. [0.52050781 0.7265625  0.81054688], matching_score_real. 2.8872, matching_score_pred. 2.9580, skate_ratio. 0.0511, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0801 (traj_fail_50cm (Traj err)): 0.0176 (kps_fail_20cm): 0.0174 (kps_fail_50cm (Loc. err)): 0.0036 (kps_mean_err(m) (Avg. err)): 0.0312 
ep/it:350-  49 niter:134100  696m 44s (- 2288m 9s) completed: 23%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0517  acc: 0.5964  lr: 0.0000 
ep/it:350-  99 niter:134150  696m 58s (- 2287m 49s) completed: 23%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0519  acc: 0.5969  lr: 0.0000 
ep/it:350- 149 niter:134200  697m 12s (- 2287m 30s) completed: 23%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0505  acc: 0.5907  lr: 0.0000 
ep/it:350- 199 niter:134250  697m 27s (- 2287m 12s) completed: 23%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0531  acc: 0.5884  lr: 0.0000 
ep/it:350- 249 niter:134300  697m 41s (- 2286m 52s) completed: 23%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0507  acc: 0.6021  lr: 0.0000 
ep/it:350- 299 niter:134350  697m 55s (- 2286m 31s) completed: 23%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0486  acc: 0.5994  lr: 0.0000 
ep/it:350- 349 niter:134400  698m 10s (- 2286m 12s) completed: 23%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0502  acc: 0.5959  lr: 0.0000 
Validation loss:1.610, accuracy:0.561
ep/it:351-  16 niter:134450  698m 27s (- 2286m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0497  acc: 0.6004  lr: 0.0000 
ep/it:351-  66 niter:134500  698m 41s (- 2285m 40s) completed: 23%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0528  acc: 0.5989  lr: 0.0000 
ep/it:351- 116 niter:134550  698m 56s (- 2285m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.4259  loss_TTT: 0.0519  acc: 0.5895  lr: 0.0000 
ep/it:351- 166 niter:134600  699m 10s (- 2285m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0544  acc: 0.5991  lr: 0.0000 
ep/it:351- 216 niter:134650  699m 25s (- 2284m 44s) completed: 23%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0531  acc: 0.5996  lr: 0.0000 
ep/it:351- 266 niter:134700  699m 39s (- 2284m 24s) completed: 23%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0497  acc: 0.5986  lr: 0.0000 
ep/it:351- 316 niter:134750  699m 54s (- 2284m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0491  acc: 0.6031  lr: 0.0000 
ep/it:351- 366 niter:134800  700m 8s (- 2283m 47s) completed: 23%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0495  acc: 0.5954  lr: 0.0000 
Validation loss:1.633, accuracy:0.556
ep/it:352-  33 niter:134850  700m 25s (- 2283m 36s) completed: 23%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0532  acc: 0.5995  lr: 0.0000 
ep/it:352-  83 niter:134900  700m 39s (- 2283m 15s) completed: 23%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0493  acc: 0.5913  lr: 0.0000 
ep/it:352- 133 niter:134950  700m 54s (- 2282m 55s) completed: 23%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0526  acc: 0.5985  lr: 0.0000 
ep/it:352- 183 niter:135000  701m 8s (- 2282m 35s) completed: 23%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0505  acc: 0.5929  lr: 0.0000 
ep/it:352- 233 niter:135050  701m 23s (- 2282m 18s) completed: 23%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0517  acc: 0.5955  lr: 0.0000 
ep/it:352- 283 niter:135100  701m 37s (- 2281m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0503  acc: 0.5995  lr: 0.0000 
ep/it:352- 333 niter:135150  701m 52s (- 2281m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0508  acc: 0.6011  lr: 0.0000 
Validation loss:1.582, accuracy:0.568
ep/it:353-   0 niter:135200  702m 8s (- 2281m 27s) completed: 23%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0507  acc: 0.5934  lr: 0.0000 
ep/it:353-  50 niter:135250  702m 23s (- 2281m 7s) completed: 23%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0512  acc: 0.5988  lr: 0.0000 
ep/it:353- 100 niter:135300  702m 37s (- 2280m 47s) completed: 23%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0515  acc: 0.5953  lr: 0.0000 
ep/it:353- 150 niter:135350  702m 52s (- 2280m 30s) completed: 23%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0504  acc: 0.5951  lr: 0.0000 
ep/it:353- 200 niter:135400  703m 6s (- 2280m 10s) completed: 23%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0525  acc: 0.6010  lr: 0.0000 
ep/it:353- 250 niter:135450  703m 21s (- 2279m 52s) completed: 23%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0502  acc: 0.5940  lr: 0.0000 
ep/it:353- 300 niter:135500  703m 35s (- 2279m 33s) completed: 23%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0511  acc: 0.5944  lr: 0.0000 
ep/it:353- 350 niter:135550  703m 50s (- 2279m 14s) completed: 23%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0501  acc: 0.6040  lr: 0.0000 
Validation loss:1.576, accuracy:0.570
ep/it:354-  17 niter:135600  704m 7s (- 2279m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0519  acc: 0.5997  lr: 0.0000 
ep/it:354-  67 niter:135650  704m 22s (- 2278m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0537  acc: 0.5958  lr: 0.0000 
ep/it:354- 117 niter:135700  704m 36s (- 2278m 25s) completed: 23%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0499  acc: 0.5979  lr: 0.0000 
ep/it:354- 167 niter:135750  704m 51s (- 2278m 8s) completed: 23%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0523  acc: 0.5974  lr: 0.0000 
ep/it:354- 217 niter:135800  705m 6s (- 2277m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0504  acc: 0.5932  lr: 0.0000 
ep/it:354- 267 niter:135850  705m 20s (- 2277m 29s) completed: 23%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0519  acc: 0.5945  lr: 0.0000 
ep/it:354- 317 niter:135900  705m 35s (- 2277m 11s) completed: 23%) loss_emb: 0.0000  loss: 1.4391  loss_TTT: 0.0516  acc: 0.5870  lr: 0.0000 
ep/it:354- 367 niter:135950  705m 49s (- 2276m 51s) completed: 23%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0524  acc: 0.5904  lr: 0.0000 
Validation loss:1.606, accuracy:0.564
ep/it:355-  34 niter:136000  706m 6s (- 2276m 40s) completed: 23%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0506  acc: 0.5966  lr: 0.0000 
ep/it:355-  84 niter:136050  706m 20s (- 2276m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0522  acc: 0.5933  lr: 0.0000 
ep/it:355- 134 niter:136100  706m 35s (- 2276m 1s) completed: 23%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0504  acc: 0.5985  lr: 0.0000 
ep/it:355- 184 niter:136150  706m 49s (- 2275m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0518  acc: 0.5968  lr: 0.0000 
ep/it:355- 234 niter:136200  707m 3s (- 2275m 22s) completed: 23%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0494  acc: 0.6018  lr: 0.0000 
ep/it:355- 284 niter:136250  707m 18s (- 2275m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0525  acc: 0.5872  lr: 0.0000 
ep/it:355- 334 niter:136300  707m 32s (- 2274m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0516  acc: 0.5991  lr: 0.0000 
Validation loss:1.589, accuracy:0.568
ep/it:356-   1 niter:136350  707m 50s (- 2274m 34s) completed: 23%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0494  acc: 0.5961  lr: 0.0000 
ep/it:356-  51 niter:136400  708m 4s (- 2274m 15s) completed: 23%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0513  acc: 0.5987  lr: 0.0000 
ep/it:356- 101 niter:136450  708m 19s (- 2273m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0512  acc: 0.5936  lr: 0.0000 
ep/it:356- 151 niter:136500  708m 33s (- 2273m 37s) completed: 23%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0518  acc: 0.5993  lr: 0.0000 
ep/it:356- 201 niter:136550  708m 48s (- 2273m 19s) completed: 23%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0501  acc: 0.5927  lr: 0.0000 
ep/it:356- 251 niter:136600  709m 3s (- 2273m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.4564  loss_TTT: 0.0524  acc: 0.5831  lr: 0.0000 
ep/it:356- 301 niter:136650  709m 17s (- 2272m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0524  acc: 0.5964  lr: 0.0000 
ep/it:356- 351 niter:136700  709m 32s (- 2272m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.4315  loss_TTT: 0.0505  acc: 0.5904  lr: 0.0000 
Validation loss:1.639, accuracy:0.553
ep/it:357-  18 niter:136750  709m 50s (- 2272m 14s) completed: 23%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0500  acc: 0.5985  lr: 0.0000 
ep/it:357-  68 niter:136800  710m 3s (- 2271m 54s) completed: 23%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0507  acc: 0.6004  lr: 0.0000 
ep/it:357- 118 niter:136850  710m 18s (- 2271m 33s) completed: 23%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0507  acc: 0.5916  lr: 0.0000 
ep/it:357- 168 niter:136900  710m 32s (- 2271m 13s) completed: 23%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0507  acc: 0.5944  lr: 0.0000 
ep/it:357- 218 niter:136950  710m 46s (- 2270m 52s) completed: 23%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0535  acc: 0.5956  lr: 0.0000 
ep/it:357- 268 niter:137000  711m 0s (- 2270m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.4339  loss_TTT: 0.0514  acc: 0.5895  lr: 0.0000 
ep/it:357- 318 niter:137050  711m 14s (- 2270m 12s) completed: 23%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0516  acc: 0.6016  lr: 0.0000 
ep/it:357- 368 niter:137100  711m 28s (- 2269m 52s) completed: 23%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0496  acc: 0.5986  lr: 0.0000 
Validation loss:1.580, accuracy:0.569
ep/it:358-  35 niter:137150  711m 45s (- 2269m 40s) completed: 23%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0511  acc: 0.5881  lr: 0.0000 
ep/it:358-  85 niter:137200  711m 59s (- 2269m 20s) completed: 23%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0514  acc: 0.5962  lr: 0.0000 
ep/it:358- 135 niter:137250  712m 14s (- 2269m 2s) completed: 23%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0504  acc: 0.5914  lr: 0.0000 
ep/it:358- 185 niter:137300  712m 28s (- 2268m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0506  acc: 0.5940  lr: 0.0000 
ep/it:358- 235 niter:137350  712m 43s (- 2268m 24s) completed: 23%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0501  acc: 0.5963  lr: 0.0000 
ep/it:358- 285 niter:137400  712m 57s (- 2268m 4s) completed: 23%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0520  acc: 0.5943  lr: 0.0000 
ep/it:358- 335 niter:137450  713m 11s (- 2267m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0481  acc: 0.5993  lr: 0.0000 
Validation loss:1.617, accuracy:0.559
ep/it:359-   2 niter:137500  713m 28s (- 2267m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0519  acc: 0.5938  lr: 0.0000 
ep/it:359-  52 niter:137550  713m 42s (- 2267m 13s) completed: 23%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0519  acc: 0.5909  lr: 0.0000 
ep/it:359- 102 niter:137600  713m 56s (- 2266m 52s) completed: 23%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0515  acc: 0.5953  lr: 0.0000 
ep/it:359- 152 niter:137650  714m 10s (- 2266m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0509  acc: 0.5947  lr: 0.0000 
ep/it:359- 202 niter:137700  714m 24s (- 2266m 11s) completed: 23%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0513  acc: 0.5932  lr: 0.0000 
ep/it:359- 252 niter:137750  714m 38s (- 2265m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0496  acc: 0.6000  lr: 0.0000 
ep/it:359- 302 niter:137800  714m 52s (- 2265m 30s) completed: 23%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0523  acc: 0.5978  lr: 0.0000 
ep/it:359- 352 niter:137850  715m 6s (- 2265m 9s) completed: 23%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0519  acc: 0.5989  lr: 0.0000 
Validation loss:1.634, accuracy:0.556

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.79it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.639975999481976 avg: 38.639975999481976
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.434715416282415 avg: 38.537345707882196
--> 	 Eva. Repeat 0 :, FID. 0.1203, Diversity Real. 9.5337, Diversity. 9.7416, R_precision_real. [0.52539062 0.69921875 0.796875  ], R_precision. [0.49804688 0.6796875  0.79199219], matching_score_real. 2.9839, matching_score_pred. 2.9703, skate_ratio. 0.0488, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0645 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0128 (kps_fail_50cm (Loc. err)): 0.0007 (kps_mean_err(m) (Avg. err)): 0.0293 
ep/it:360-  19 niter:137900  716m 42s (- 2269m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0493  acc: 0.6062  lr: 0.0000 
ep/it:360-  69 niter:137950  716m 56s (- 2268m 48s) completed: 24%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0489  acc: 0.5977  lr: 0.0000 
ep/it:360- 119 niter:138000  717m 10s (- 2268m 28s) completed: 24%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0511  acc: 0.5948  lr: 0.0000 
ep/it:360- 169 niter:138050  717m 25s (- 2268m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0506  acc: 0.5978  lr: 0.0000 
ep/it:360- 219 niter:138100  717m 40s (- 2267m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0504  acc: 0.6032  lr: 0.0000 
ep/it:360- 269 niter:138150  717m 54s (- 2267m 32s) completed: 24%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0525  acc: 0.5999  lr: 0.0000 
ep/it:360- 319 niter:138200  718m 9s (- 2267m 14s) completed: 24%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0496  acc: 0.5973  lr: 0.0000 
ep/it:360- 369 niter:138250  718m 23s (- 2266m 54s) completed: 24%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0511  acc: 0.6004  lr: 0.0000 
Validation loss:1.609, accuracy:0.562
ep/it:361-  36 niter:138300  718m 40s (- 2266m 41s) completed: 24%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0517  acc: 0.5966  lr: 0.0000 
ep/it:361-  86 niter:138350  718m 54s (- 2266m 22s) completed: 24%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0504  acc: 0.6021  lr: 0.0000 
ep/it:361- 136 niter:138400  719m 8s (- 2266m 2s) completed: 24%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0526  acc: 0.5950  lr: 0.0000 
ep/it:361- 186 niter:138450  719m 22s (- 2265m 42s) completed: 24%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0508  acc: 0.5966  lr: 0.0000 
ep/it:361- 236 niter:138500  719m 37s (- 2265m 22s) completed: 24%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0493  acc: 0.6028  lr: 0.0000 
ep/it:361- 286 niter:138550  719m 51s (- 2265m 2s) completed: 24%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0503  acc: 0.5903  lr: 0.0000 
ep/it:361- 336 niter:138600  720m 5s (- 2264m 42s) completed: 24%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0516  acc: 0.5939  lr: 0.0000 
Validation loss:1.553, accuracy:0.575
ep/it:362-   3 niter:138650  720m 22s (- 2264m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0493  acc: 0.5929  lr: 0.0000 
ep/it:362-  53 niter:138700  720m 37s (- 2264m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0482  acc: 0.5998  lr: 0.0000 
ep/it:362- 103 niter:138750  720m 51s (- 2263m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0516  acc: 0.5925  lr: 0.0000 
ep/it:362- 153 niter:138800  721m 6s (- 2263m 34s) completed: 24%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0496  acc: 0.5942  lr: 0.0000 
ep/it:362- 203 niter:138850  721m 20s (- 2263m 16s) completed: 24%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0500  acc: 0.5894  lr: 0.0000 
ep/it:362- 253 niter:138900  721m 35s (- 2262m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0511  acc: 0.5913  lr: 0.0000 
ep/it:362- 303 niter:138950  721m 49s (- 2262m 37s) completed: 24%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0521  acc: 0.5914  lr: 0.0000 
ep/it:362- 353 niter:139000  722m 4s (- 2262m 18s) completed: 24%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0509  acc: 0.5998  lr: 0.0000 
Validation loss:1.596, accuracy:0.565
ep/it:363-  20 niter:139050  722m 20s (- 2262m 6s) completed: 24%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0526  acc: 0.6012  lr: 0.0000 
ep/it:363-  70 niter:139100  722m 35s (- 2261m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0514  acc: 0.5965  lr: 0.0000 
ep/it:363- 120 niter:139150  722m 49s (- 2261m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0487  acc: 0.5923  lr: 0.0000 
ep/it:363- 170 niter:139200  723m 3s (- 2261m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0523  acc: 0.6021  lr: 0.0000 
ep/it:363- 220 niter:139250  723m 17s (- 2260m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.4317  loss_TTT: 0.0487  acc: 0.5892  lr: 0.0000 
ep/it:363- 270 niter:139300  723m 32s (- 2260m 28s) completed: 24%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0534  acc: 0.5915  lr: 0.0000 
ep/it:363- 320 niter:139350  723m 46s (- 2260m 9s) completed: 24%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0521  acc: 0.5935  lr: 0.0000 
ep/it:363- 370 niter:139400  724m 1s (- 2259m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0514  acc: 0.5955  lr: 0.0000 
Validation loss:1.564, accuracy:0.571
ep/it:364-  37 niter:139450  724m 18s (- 2259m 39s) completed: 24%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0521  acc: 0.6000  lr: 0.0000 
ep/it:364-  87 niter:139500  724m 32s (- 2259m 18s) completed: 24%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0505  acc: 0.6015  lr: 0.0000 
ep/it:364- 137 niter:139550  724m 46s (- 2258m 59s) completed: 24%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0504  acc: 0.5974  lr: 0.0000 
ep/it:364- 187 niter:139600  725m 0s (- 2258m 38s) completed: 24%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0507  acc: 0.5973  lr: 0.0000 
ep/it:364- 237 niter:139650  725m 14s (- 2258m 18s) completed: 24%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0523  acc: 0.5999  lr: 0.0000 
ep/it:364- 287 niter:139700  725m 28s (- 2257m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0513  acc: 0.5966  lr: 0.0000 
ep/it:364- 337 niter:139750  725m 42s (- 2257m 37s) completed: 24%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0511  acc: 0.5990  lr: 0.0000 
Validation loss:1.587, accuracy:0.566
ep/it:365-   4 niter:139800  725m 59s (- 2257m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0493  acc: 0.6032  lr: 0.0000 
ep/it:365-  54 niter:139850  726m 13s (- 2257m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0515  acc: 0.5980  lr: 0.0000 
ep/it:365- 104 niter:139900  726m 27s (- 2256m 44s) completed: 24%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0509  acc: 0.5939  lr: 0.0000 
ep/it:365- 154 niter:139950  726m 41s (- 2256m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0514  acc: 0.5955  lr: 0.0000 
ep/it:365- 204 niter:140000  726m 55s (- 2256m 5s) completed: 24%) loss_emb: 0.0000  loss: 1.4302  loss_TTT: 0.0513  acc: 0.5886  lr: 0.0000 
ep/it:365- 254 niter:140050  727m 10s (- 2255m 46s) completed: 24%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0503  acc: 0.5989  lr: 0.0000 
ep/it:365- 304 niter:140100  727m 24s (- 2255m 26s) completed: 24%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0512  acc: 0.6007  lr: 0.0000 
ep/it:365- 354 niter:140150  727m 38s (- 2255m 5s) completed: 24%) loss_emb: 0.0000  loss: 1.4352  loss_TTT: 0.0511  acc: 0.5885  lr: 0.0000 
Validation loss:1.623, accuracy:0.558
ep/it:366-  21 niter:140200  727m 55s (- 2254m 55s) completed: 24%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0510  acc: 0.5932  lr: 0.0000 
ep/it:366-  71 niter:140250  728m 9s (- 2254m 34s) completed: 24%) loss_emb: 0.0000  loss: 1.4266  loss_TTT: 0.0504  acc: 0.5900  lr: 0.0000 
ep/it:366- 121 niter:140300  728m 23s (- 2254m 14s) completed: 24%) loss_emb: 0.0000  loss: 1.4414  loss_TTT: 0.0508  acc: 0.5857  lr: 0.0000 
ep/it:366- 171 niter:140350  728m 38s (- 2253m 55s) completed: 24%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0515  acc: 0.5979  lr: 0.0000 
ep/it:366- 221 niter:140400  728m 52s (- 2253m 35s) completed: 24%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0500  acc: 0.5963  lr: 0.0000 
ep/it:366- 271 niter:140450  729m 6s (- 2253m 16s) completed: 24%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0520  acc: 0.5962  lr: 0.0000 
ep/it:366- 321 niter:140500  729m 21s (- 2252m 58s) completed: 24%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0526  acc: 0.5929  lr: 0.0000 
ep/it:366- 371 niter:140550  729m 36s (- 2252m 40s) completed: 24%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0492  acc: 0.5892  lr: 0.0000 
Validation loss:1.610, accuracy:0.561
ep/it:367-  38 niter:140600  729m 53s (- 2252m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0516  acc: 0.5925  lr: 0.0000 
ep/it:367-  88 niter:140650  730m 8s (- 2252m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0528  acc: 0.5972  lr: 0.0000 
ep/it:367- 138 niter:140700  730m 22s (- 2251m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.4409  loss_TTT: 0.0510  acc: 0.5869  lr: 0.0000 
ep/it:367- 188 niter:140750  730m 37s (- 2251m 33s) completed: 24%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0491  acc: 0.5997  lr: 0.0000 
ep/it:367- 238 niter:140800  730m 51s (- 2251m 14s) completed: 24%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0512  acc: 0.5941  lr: 0.0000 
ep/it:367- 288 niter:140850  731m 6s (- 2250m 54s) completed: 24%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0504  acc: 0.5997  lr: 0.0000 
ep/it:367- 338 niter:140900  731m 20s (- 2250m 36s) completed: 24%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0512  acc: 0.6059  lr: 0.0000 
Validation loss:1.588, accuracy:0.565
ep/it:368-   5 niter:140950  731m 37s (- 2250m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0497  acc: 0.5949  lr: 0.0000 
ep/it:368-  55 niter:141000  731m 52s (- 2250m 6s) completed: 24%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0507  acc: 0.5979  lr: 0.0000 
ep/it:368- 105 niter:141050  732m 6s (- 2249m 48s) completed: 24%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0497  acc: 0.5925  lr: 0.0000 
ep/it:368- 155 niter:141100  732m 20s (- 2249m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0510  acc: 0.6019  lr: 0.0000 
ep/it:368- 205 niter:141150  732m 35s (- 2249m 8s) completed: 24%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0508  acc: 0.5974  lr: 0.0000 
ep/it:368- 255 niter:141200  732m 49s (- 2248m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0509  acc: 0.6015  lr: 0.0000 
ep/it:368- 305 niter:141250  733m 4s (- 2248m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0507  acc: 0.5951  lr: 0.0000 
ep/it:368- 355 niter:141300  733m 18s (- 2248m 11s) completed: 24%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0501  acc: 0.5998  lr: 0.0000 
Validation loss:1.576, accuracy:0.569
ep/it:369-  22 niter:141350  733m 35s (- 2247m 59s) completed: 24%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0528  acc: 0.5940  lr: 0.0000 
ep/it:369-  72 niter:141400  733m 49s (- 2247m 38s) completed: 24%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0514  acc: 0.5978  lr: 0.0000 
ep/it:369- 122 niter:141450  734m 3s (- 2247m 18s) completed: 24%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0514  acc: 0.5930  lr: 0.0000 
ep/it:369- 172 niter:141500  734m 17s (- 2246m 58s) completed: 24%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0514  acc: 0.6027  lr: 0.0000 
ep/it:369- 222 niter:141550  734m 31s (- 2246m 39s) completed: 24%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0494  acc: 0.5999  lr: 0.0000 
ep/it:369- 272 niter:141600  734m 45s (- 2246m 18s) completed: 24%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0516  acc: 0.5906  lr: 0.0000 
ep/it:369- 322 niter:141650  734m 59s (- 2245m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0505  acc: 0.5938  lr: 0.0000 
ep/it:369- 372 niter:141700  735m 13s (- 2245m 37s) completed: 24%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0527  acc: 0.5938  lr: 0.0000 
Validation loss:1.584, accuracy:0.569

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ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.44000901281834 avg: 38.44000901281834
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.61941764969379 avg: 38.52971333125606
--> 	 Eva. Repeat 0 :, FID. 0.0694, Diversity Real. 9.5624, Diversity. 9.5640, R_precision_real. [0.50976562 0.70703125 0.8046875 ], R_precision. [0.546875   0.71582031 0.79199219], matching_score_real. 2.8943, matching_score_pred. 2.9246, skate_ratio. 0.0460, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0674 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0152 (kps_fail_50cm (Loc. err)): 0.0011 (kps_mean_err(m) (Avg. err)): 0.0299 
ep/it:370-  39 niter:141750  736m 48s (- 2249m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0524  acc: 0.5986  lr: 0.0000 
ep/it:370-  89 niter:141800  737m 2s (- 2249m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0503  acc: 0.5914  lr: 0.0000 
ep/it:370- 139 niter:141850  737m 16s (- 2248m 44s) completed: 24%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0490  acc: 0.6010  lr: 0.0000 
ep/it:370- 189 niter:141900  737m 30s (- 2248m 23s) completed: 24%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0503  acc: 0.5978  lr: 0.0000 
ep/it:370- 239 niter:141950  737m 44s (- 2248m 3s) completed: 24%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0521  acc: 0.5915  lr: 0.0000 
ep/it:370- 289 niter:142000  737m 58s (- 2247m 43s) completed: 24%) loss_emb: 0.0000  loss: 1.4312  loss_TTT: 0.0515  acc: 0.5888  lr: 0.0000 
ep/it:370- 339 niter:142050  738m 13s (- 2247m 24s) completed: 24%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0520  acc: 0.5965  lr: 0.0000 
Validation loss:1.554, accuracy:0.575
ep/it:371-   6 niter:142100  738m 30s (- 2247m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0536  acc: 0.5925  lr: 0.0000 
ep/it:371-  56 niter:142150  738m 44s (- 2246m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0519  acc: 0.5972  lr: 0.0000 
ep/it:371- 106 niter:142200  738m 58s (- 2246m 32s) completed: 24%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0511  acc: 0.5914  lr: 0.0000 
ep/it:371- 156 niter:142250  739m 12s (- 2246m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0522  acc: 0.6019  lr: 0.0000 
ep/it:371- 206 niter:142300  739m 26s (- 2245m 53s) completed: 24%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0494  acc: 0.5988  lr: 0.0000 
ep/it:371- 256 niter:142350  739m 41s (- 2245m 34s) completed: 24%) loss_emb: 0.0000  loss: 1.4512  loss_TTT: 0.0510  acc: 0.5848  lr: 0.0000 
ep/it:371- 306 niter:142400  739m 55s (- 2245m 15s) completed: 24%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0488  acc: 0.5968  lr: 0.0000 
ep/it:371- 356 niter:142450  740m 10s (- 2244m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0497  acc: 0.5983  lr: 0.0000 
Validation loss:1.645, accuracy:0.552
ep/it:372-  23 niter:142500  740m 27s (- 2244m 44s) completed: 24%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0520  acc: 0.5981  lr: 0.0000 
ep/it:372-  73 niter:142550  740m 41s (- 2244m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0509  acc: 0.5902  lr: 0.0000 
ep/it:372- 123 niter:142600  740m 55s (- 2244m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0519  acc: 0.5935  lr: 0.0000 
ep/it:372- 173 niter:142650  741m 9s (- 2243m 43s) completed: 24%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0490  acc: 0.5962  lr: 0.0000 
ep/it:372- 223 niter:142700  741m 23s (- 2243m 23s) completed: 24%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0511  acc: 0.6032  lr: 0.0000 
ep/it:372- 273 niter:142750  741m 37s (- 2243m 2s) completed: 24%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0511  acc: 0.5982  lr: 0.0000 
ep/it:372- 323 niter:142800  741m 51s (- 2242m 42s) completed: 24%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0485  acc: 0.5929  lr: 0.0000 
ep/it:372- 373 niter:142850  742m 5s (- 2242m 21s) completed: 24%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0503  acc: 0.5968  lr: 0.0000 
Validation loss:1.626, accuracy:0.554
ep/it:373-  40 niter:142900  742m 21s (- 2242m 8s) completed: 24%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0520  acc: 0.5916  lr: 0.0000 
ep/it:373-  90 niter:142950  742m 35s (- 2241m 48s) completed: 24%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0522  acc: 0.5997  lr: 0.0000 
ep/it:373- 140 niter:143000  742m 49s (- 2241m 28s) completed: 24%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0512  acc: 0.5930  lr: 0.0000 
ep/it:373- 190 niter:143050  743m 4s (- 2241m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0490  acc: 0.5956  lr: 0.0000 
ep/it:373- 240 niter:143100  743m 19s (- 2240m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0515  acc: 0.5992  lr: 0.0000 
ep/it:373- 290 niter:143150  743m 33s (- 2240m 32s) completed: 24%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0508  acc: 0.5957  lr: 0.0000 
ep/it:373- 340 niter:143200  743m 48s (- 2240m 14s) completed: 24%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0498  acc: 0.5961  lr: 0.0000 
Validation loss:1.596, accuracy:0.566
ep/it:374-   7 niter:143250  744m 5s (- 2240m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0494  acc: 0.5944  lr: 0.0000 
ep/it:374-  57 niter:143300  744m 19s (- 2239m 43s) completed: 24%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0518  acc: 0.5920  lr: 0.0000 
ep/it:374- 107 niter:143350  744m 33s (- 2239m 23s) completed: 24%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0512  acc: 0.5963  lr: 0.0000 
ep/it:374- 157 niter:143400  744m 47s (- 2239m 3s) completed: 24%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0507  acc: 0.5908  lr: 0.0000 
ep/it:374- 207 niter:143450  745m 1s (- 2238m 42s) completed: 24%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0518  acc: 0.5955  lr: 0.0000 
ep/it:374- 257 niter:143500  745m 15s (- 2238m 22s) completed: 24%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0503  acc: 0.5926  lr: 0.0000 
ep/it:374- 307 niter:143550  745m 29s (- 2238m 2s) completed: 24%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0511  acc: 0.5927  lr: 0.0000 
ep/it:374- 357 niter:143600  745m 43s (- 2237m 41s) completed: 24%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0515  acc: 0.5927  lr: 0.0000 
Validation loss:1.562, accuracy:0.572
ep/it:375-  24 niter:143650  745m 59s (- 2237m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0510  acc: 0.5959  lr: 0.0000 
ep/it:375-  74 niter:143700  746m 13s (- 2237m 8s) completed: 25%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0503  acc: 0.5895  lr: 0.0000 
ep/it:375- 124 niter:143750  746m 27s (- 2236m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.4346  loss_TTT: 0.0541  acc: 0.5883  lr: 0.0000 
ep/it:375- 174 niter:143800  746m 41s (- 2236m 26s) completed: 25%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0506  acc: 0.5937  lr: 0.0000 
ep/it:375- 224 niter:143850  746m 55s (- 2236m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0500  acc: 0.5937  lr: 0.0000 
ep/it:375- 274 niter:143900  747m 10s (- 2235m 48s) completed: 25%) loss_emb: 0.0000  loss: 1.4458  loss_TTT: 0.0521  acc: 0.5856  lr: 0.0000 
ep/it:375- 324 niter:143950  747m 24s (- 2235m 29s) completed: 25%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0507  acc: 0.5974  lr: 0.0000 
ep/it:375- 374 niter:144000  747m 38s (- 2235m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0508  acc: 0.5989  lr: 0.0000 
Validation loss:1.552, accuracy:0.577
ep/it:376-  41 niter:144050  747m 55s (- 2234m 57s) completed: 25%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0512  acc: 0.5951  lr: 0.0000 
ep/it:376-  91 niter:144100  748m 9s (- 2234m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0492  acc: 0.5944  lr: 0.0000 
ep/it:376- 141 niter:144150  748m 23s (- 2234m 16s) completed: 25%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0495  acc: 0.5897  lr: 0.0000 
ep/it:376- 191 niter:144200  748m 37s (- 2233m 56s) completed: 25%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0507  acc: 0.6020  lr: 0.0000 
ep/it:376- 241 niter:144250  748m 51s (- 2233m 35s) completed: 25%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0477  acc: 0.6009  lr: 0.0000 
ep/it:376- 291 niter:144300  749m 5s (- 2233m 14s) completed: 25%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0525  acc: 0.5947  lr: 0.0000 
ep/it:376- 341 niter:144350  749m 19s (- 2232m 54s) completed: 25%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0504  acc: 0.6001  lr: 0.0000 
Validation loss:1.538, accuracy:0.580
Improved accuracy from 0.58 to 0.58 !!!
ep/it:377-   8 niter:144400  749m 35s (- 2232m 42s) completed: 25%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0517  acc: 0.5963  lr: 0.0000 
ep/it:377-  58 niter:144450  749m 50s (- 2232m 22s) completed: 25%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0516  acc: 0.5955  lr: 0.0000 
ep/it:377- 108 niter:144500  750m 4s (- 2232m 4s) completed: 25%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0512  acc: 0.5986  lr: 0.0000 
ep/it:377- 158 niter:144550  750m 19s (- 2231m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.4461  loss_TTT: 0.0517  acc: 0.5849  lr: 0.0000 
ep/it:377- 208 niter:144600  750m 33s (- 2231m 24s) completed: 25%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0498  acc: 0.5988  lr: 0.0000 
ep/it:377- 258 niter:144650  750m 47s (- 2231m 5s) completed: 25%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0497  acc: 0.5950  lr: 0.0000 
ep/it:377- 308 niter:144700  751m 1s (- 2230m 46s) completed: 25%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0508  acc: 0.5977  lr: 0.0000 
ep/it:377- 358 niter:144750  751m 15s (- 2230m 26s) completed: 25%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0501  acc: 0.5944  lr: 0.0000 
Validation loss:1.630, accuracy:0.554
ep/it:378-  25 niter:144800  751m 32s (- 2230m 14s) completed: 25%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0516  acc: 0.5994  lr: 0.0000 
ep/it:378-  75 niter:144850  751m 47s (- 2229m 55s) completed: 25%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0512  acc: 0.5989  lr: 0.0000 
ep/it:378- 125 niter:144900  752m 0s (- 2229m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0518  acc: 0.5904  lr: 0.0000 
ep/it:378- 175 niter:144950  752m 14s (- 2229m 13s) completed: 25%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0514  acc: 0.5944  lr: 0.0000 
ep/it:378- 225 niter:145000  752m 28s (- 2228m 53s) completed: 25%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0493  acc: 0.5975  lr: 0.0000 
ep/it:378- 275 niter:145050  752m 42s (- 2228m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0509  acc: 0.5963  lr: 0.0000 
ep/it:378- 325 niter:145100  752m 56s (- 2228m 13s) completed: 25%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0507  acc: 0.5938  lr: 0.0000 
ep/it:378- 375 niter:145150  753m 11s (- 2227m 55s) completed: 25%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0495  acc: 0.5924  lr: 0.0000 
Validation loss:1.639, accuracy:0.555
ep/it:379-  42 niter:145200  753m 27s (- 2227m 42s) completed: 25%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0530  acc: 0.5994  lr: 0.0000 
ep/it:379-  92 niter:145250  753m 41s (- 2227m 22s) completed: 25%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0515  acc: 0.5983  lr: 0.0000 
ep/it:379- 142 niter:145300  753m 56s (- 2227m 2s) completed: 25%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0498  acc: 0.5914  lr: 0.0000 
ep/it:379- 192 niter:145350  754m 9s (- 2226m 41s) completed: 25%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0532  acc: 0.5989  lr: 0.0000 
ep/it:379- 242 niter:145400  754m 23s (- 2226m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0500  acc: 0.6026  lr: 0.0000 
ep/it:379- 292 niter:145450  754m 37s (- 2226m 0s) completed: 25%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0513  acc: 0.6002  lr: 0.0000 
ep/it:379- 342 niter:145500  754m 51s (- 2225m 40s) completed: 25%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0516  acc: 0.5934  lr: 0.0000 
Validation loss:1.607, accuracy:0.562

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 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.650445842184126 avg: 38.650445842184126
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.44713887665421 avg: 38.54879235941917
--> 	 Eva. Repeat 0 :, FID. 0.1080, Diversity Real. 9.4772, Diversity. 9.3159, R_precision_real. [0.50878906 0.703125   0.79882812], R_precision. [0.51855469 0.70800781 0.80371094], matching_score_real. 2.9749, matching_score_pred. 2.9814, skate_ratio. 0.0470, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0674 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0086 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0285 
ep/it:380-   9 niter:145550  756m 27s (- 2229m 20s) completed: 25%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0526  acc: 0.5944  lr: 0.0000 
ep/it:380-  59 niter:145600  756m 41s (- 2229m 0s) completed: 25%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0506  acc: 0.5937  lr: 0.0000 
ep/it:380- 109 niter:145650  756m 55s (- 2228m 39s) completed: 25%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0523  acc: 0.5897  lr: 0.0000 
ep/it:380- 159 niter:145700  757m 9s (- 2228m 19s) completed: 25%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0499  acc: 0.5962  lr: 0.0000 
ep/it:380- 209 niter:145750  757m 23s (- 2227m 59s) completed: 25%) loss_emb: 0.0000  loss: 1.4471  loss_TTT: 0.0505  acc: 0.5849  lr: 0.0000 
ep/it:380- 259 niter:145800  757m 37s (- 2227m 39s) completed: 25%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0512  acc: 0.5970  lr: 0.0000 
ep/it:380- 309 niter:145850  757m 51s (- 2227m 19s) completed: 25%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0509  acc: 0.6014  lr: 0.0000 
ep/it:380- 359 niter:145900  758m 5s (- 2227m 0s) completed: 25%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0506  acc: 0.5876  lr: 0.0000 
Validation loss:1.609, accuracy:0.560
ep/it:381-  26 niter:145950  758m 22s (- 2226m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0501  acc: 0.5972  lr: 0.0000 
ep/it:381-  76 niter:146000  758m 36s (- 2226m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0490  acc: 0.6003  lr: 0.0000 
ep/it:381- 126 niter:146050  758m 51s (- 2226m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0524  acc: 0.5878  lr: 0.0000 
ep/it:381- 176 niter:146100  759m 5s (- 2225m 51s) completed: 25%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0504  acc: 0.6006  lr: 0.0000 
ep/it:381- 226 niter:146150  759m 20s (- 2225m 31s) completed: 25%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0485  acc: 0.6002  lr: 0.0000 
ep/it:381- 276 niter:146200  759m 34s (- 2225m 12s) completed: 25%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0513  acc: 0.5983  lr: 0.0000 
ep/it:381- 326 niter:146250  759m 49s (- 2224m 54s) completed: 25%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0501  acc: 0.5958  lr: 0.0000 
ep/it:381- 376 niter:146300  760m 2s (- 2224m 33s) completed: 25%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0520  acc: 0.5981  lr: 0.0000 
Validation loss:1.651, accuracy:0.550
ep/it:382-  43 niter:146350  760m 19s (- 2224m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0527  acc: 0.6004  lr: 0.0000 
ep/it:382-  93 niter:146400  760m 33s (- 2224m 1s) completed: 25%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0507  acc: 0.5977  lr: 0.0000 
ep/it:382- 143 niter:146450  760m 47s (- 2223m 40s) completed: 25%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0519  acc: 0.5935  lr: 0.0000 
ep/it:382- 193 niter:146500  761m 1s (- 2223m 20s) completed: 25%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0500  acc: 0.5890  lr: 0.0000 
ep/it:382- 243 niter:146550  761m 15s (- 2223m 1s) completed: 25%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0526  acc: 0.5979  lr: 0.0000 
ep/it:382- 293 niter:146600  761m 29s (- 2222m 40s) completed: 25%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0518  acc: 0.5978  lr: 0.0000 
ep/it:382- 343 niter:146650  761m 43s (- 2222m 20s) completed: 25%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0498  acc: 0.5974  lr: 0.0000 
Validation loss:1.594, accuracy:0.568
ep/it:383-  10 niter:146700  762m 0s (- 2222m 7s) completed: 25%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0527  acc: 0.5945  lr: 0.0000 
ep/it:383-  60 niter:146750  762m 14s (- 2221m 46s) completed: 25%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0505  acc: 0.5956  lr: 0.0000 
ep/it:383- 110 niter:146800  762m 28s (- 2221m 26s) completed: 25%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0500  acc: 0.5948  lr: 0.0000 
ep/it:383- 160 niter:146850  762m 42s (- 2221m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0521  acc: 0.5990  lr: 0.0000 
ep/it:383- 210 niter:146900  762m 56s (- 2220m 46s) completed: 25%) loss_emb: 0.0000  loss: 1.4288  loss_TTT: 0.0508  acc: 0.5904  lr: 0.0000 
ep/it:383- 260 niter:146950  763m 10s (- 2220m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0510  acc: 0.5940  lr: 0.0000 
ep/it:383- 310 niter:147000  763m 23s (- 2220m 5s) completed: 25%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0512  acc: 0.5962  lr: 0.0000 
ep/it:383- 360 niter:147050  763m 38s (- 2219m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0509  acc: 0.5941  lr: 0.0000 
Validation loss:1.585, accuracy:0.568
ep/it:384-  27 niter:147100  763m 55s (- 2219m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0505  acc: 0.5907  lr: 0.0000 
ep/it:384-  77 niter:147150  764m 9s (- 2219m 14s) completed: 25%) loss_emb: 0.0000  loss: 1.4129  loss_TTT: 0.0495  acc: 0.5933  lr: 0.0000 
ep/it:384- 127 niter:147200  764m 23s (- 2218m 54s) completed: 25%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0490  acc: 0.6031  lr: 0.0000 
ep/it:384- 177 niter:147250  764m 37s (- 2218m 33s) completed: 25%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0495  acc: 0.6015  lr: 0.0000 
ep/it:384- 227 niter:147300  764m 51s (- 2218m 13s) completed: 25%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0514  acc: 0.5995  lr: 0.0000 
ep/it:384- 277 niter:147350  765m 5s (- 2217m 53s) completed: 25%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0507  acc: 0.5963  lr: 0.0000 
ep/it:384- 327 niter:147400  765m 18s (- 2217m 32s) completed: 25%) loss_emb: 0.0000  loss: 1.4401  loss_TTT: 0.0529  acc: 0.5875  lr: 0.0000 
ep/it:384- 377 niter:147450  765m 32s (- 2217m 11s) completed: 25%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0513  acc: 0.6031  lr: 0.0000 
Validation loss:1.607, accuracy:0.560
ep/it:385-  44 niter:147500  765m 49s (- 2217m 1s) completed: 25%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0521  acc: 0.5940  lr: 0.0000 
ep/it:385-  94 niter:147550  766m 4s (- 2216m 41s) completed: 25%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0496  acc: 0.5949  lr: 0.0000 
ep/it:385- 144 niter:147600  766m 18s (- 2216m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0496  acc: 0.5977  lr: 0.0000 
ep/it:385- 194 niter:147650  766m 32s (- 2216m 2s) completed: 25%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0504  acc: 0.5917  lr: 0.0000 
ep/it:385- 244 niter:147700  766m 46s (- 2215m 42s) completed: 25%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0521  acc: 0.5987  lr: 0.0000 
ep/it:385- 294 niter:147750  767m 0s (- 2215m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0493  acc: 0.5959  lr: 0.0000 
ep/it:385- 344 niter:147800  767m 14s (- 2215m 1s) completed: 25%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0522  acc: 0.5962  lr: 0.0000 
Validation loss:1.579, accuracy:0.570
ep/it:386-  11 niter:147850  767m 30s (- 2214m 48s) completed: 25%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0479  acc: 0.6017  lr: 0.0000 
ep/it:386-  61 niter:147900  767m 45s (- 2214m 29s) completed: 25%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0517  acc: 0.5956  lr: 0.0000 
ep/it:386- 111 niter:147950  767m 59s (- 2214m 11s) completed: 25%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0488  acc: 0.5954  lr: 0.0000 
ep/it:386- 161 niter:148000  768m 13s (- 2213m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0513  acc: 0.6004  lr: 0.0000 
ep/it:386- 211 niter:148050  768m 27s (- 2213m 31s) completed: 25%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0505  acc: 0.6021  lr: 0.0000 
ep/it:386- 261 niter:148100  768m 41s (- 2213m 10s) completed: 25%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0505  acc: 0.6000  lr: 0.0000 
ep/it:386- 311 niter:148150  768m 55s (- 2212m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0508  acc: 0.5995  lr: 0.0000 
ep/it:386- 361 niter:148200  769m 9s (- 2212m 29s) completed: 25%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0520  acc: 0.6029  lr: 0.0000 
Validation loss:1.589, accuracy:0.566
ep/it:387-  28 niter:148250  769m 25s (- 2212m 16s) completed: 25%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0512  acc: 0.5994  lr: 0.0000 
ep/it:387-  78 niter:148300  769m 39s (- 2211m 56s) completed: 25%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0506  acc: 0.5947  lr: 0.0000 
ep/it:387- 128 niter:148350  769m 53s (- 2211m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0506  acc: 0.5969  lr: 0.0000 
ep/it:387- 178 niter:148400  770m 7s (- 2211m 16s) completed: 25%) loss_emb: 0.0000  loss: 1.4379  loss_TTT: 0.0524  acc: 0.5885  lr: 0.0000 
ep/it:387- 228 niter:148450  770m 22s (- 2210m 56s) completed: 25%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0498  acc: 0.5991  lr: 0.0000 
ep/it:387- 278 niter:148500  770m 36s (- 2210m 37s) completed: 25%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0489  acc: 0.5936  lr: 0.0000 
ep/it:387- 328 niter:148550  770m 51s (- 2210m 20s) completed: 25%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0494  acc: 0.6011  lr: 0.0000 
ep/it:387- 378 niter:148600  771m 5s (- 2210m 1s) completed: 25%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0500  acc: 0.6063  lr: 0.0000 
Validation loss:1.570, accuracy:0.572
ep/it:388-  45 niter:148650  771m 22s (- 2209m 48s) completed: 25%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0510  acc: 0.5978  lr: 0.0000 
ep/it:388-  95 niter:148700  771m 36s (- 2209m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0505  acc: 0.5977  lr: 0.0000 
ep/it:388- 145 niter:148750  771m 50s (- 2209m 8s) completed: 25%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0503  acc: 0.6030  lr: 0.0000 
ep/it:388- 195 niter:148800  772m 3s (- 2208m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0512  acc: 0.5944  lr: 0.0000 
ep/it:388- 245 niter:148850  772m 17s (- 2208m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0491  acc: 0.6017  lr: 0.0000 
ep/it:388- 295 niter:148900  772m 31s (- 2208m 7s) completed: 25%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0516  acc: 0.5961  lr: 0.0000 
ep/it:388- 345 niter:148950  772m 45s (- 2207m 46s) completed: 25%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0508  acc: 0.5987  lr: 0.0000 
Validation loss:1.582, accuracy:0.568
ep/it:389-  12 niter:149000  773m 2s (- 2207m 33s) completed: 25%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0519  acc: 0.5892  lr: 0.0000 
ep/it:389-  62 niter:149050  773m 16s (- 2207m 15s) completed: 25%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0517  acc: 0.5931  lr: 0.0000 
ep/it:389- 112 niter:149100  773m 30s (- 2206m 55s) completed: 25%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0511  acc: 0.5935  lr: 0.0000 
ep/it:389- 162 niter:149150  773m 45s (- 2206m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0522  acc: 0.5987  lr: 0.0000 
ep/it:389- 212 niter:149200  773m 59s (- 2206m 17s) completed: 25%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0500  acc: 0.5949  lr: 0.0000 
ep/it:389- 262 niter:149250  774m 13s (- 2205m 57s) completed: 25%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0509  acc: 0.5989  lr: 0.0000 
ep/it:389- 312 niter:149300  774m 27s (- 2205m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.4194  loss_TTT: 0.0517  acc: 0.5925  lr: 0.0000 
ep/it:389- 362 niter:149350  774m 41s (- 2205m 16s) completed: 25%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0488  acc: 0.5956  lr: 0.0000 
Validation loss:1.641, accuracy:0.555

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.71it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.627315872348845 avg: 38.627315872348845
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.49064878560603 avg: 38.558982328977436
--> 	 Eva. Repeat 0 :, FID. 0.0680, Diversity Real. 9.3421, Diversity. 9.0034, R_precision_real. [0.51269531 0.70117188 0.80078125], R_precision. [0.5        0.69921875 0.796875  ], matching_score_real. 2.9747, matching_score_pred. 2.9823, skate_ratio. 0.0483, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0096 (kps_fail_50cm (Loc. err)): 0.0015 (kps_mean_err(m) (Avg. err)): 0.0282 
ep/it:390-  29 niter:149400  776m 16s (- 2208m 48s) completed: 26%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0510  acc: 0.5972  lr: 0.0000 
ep/it:390-  79 niter:149450  776m 30s (- 2208m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0498  acc: 0.5954  lr: 0.0000 
ep/it:390- 129 niter:149500  776m 44s (- 2208m 8s) completed: 26%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0505  acc: 0.5991  lr: 0.0000 
ep/it:390- 179 niter:149550  776m 59s (- 2207m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0498  acc: 0.5992  lr: 0.0000 
ep/it:390- 229 niter:149600  777m 13s (- 2207m 29s) completed: 26%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0485  acc: 0.5912  lr: 0.0000 
ep/it:390- 279 niter:149650  777m 27s (- 2207m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0528  acc: 0.5940  lr: 0.0000 
ep/it:390- 329 niter:149700  777m 41s (- 2206m 51s) completed: 26%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0507  acc: 0.6002  lr: 0.0000 
ep/it:390- 379 niter:149750  777m 55s (- 2206m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0493  acc: 0.5974  lr: 0.0000 
Validation loss:1.625, accuracy:0.556
ep/it:391-  46 niter:149800  778m 12s (- 2206m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0499  acc: 0.5991  lr: 0.0000 
ep/it:391-  96 niter:149850  778m 26s (- 2205m 58s) completed: 26%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0523  acc: 0.5931  lr: 0.0000 
ep/it:391- 146 niter:149900  778m 40s (- 2205m 39s) completed: 26%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0501  acc: 0.6021  lr: 0.0000 
ep/it:391- 196 niter:149950  778m 55s (- 2205m 19s) completed: 26%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0523  acc: 0.5924  lr: 0.0000 
ep/it:391- 246 niter:150000  779m 9s (- 2205m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0511  acc: 0.5947  lr: 0.0000 
ep/it:391- 296 niter:150050  779m 24s (- 2204m 42s) completed: 26%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0511  acc: 0.5957  lr: 0.0000 
ep/it:391- 346 niter:150100  779m 38s (- 2204m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0501  acc: 0.5977  lr: 0.0000 
Validation loss:1.574, accuracy:0.570
ep/it:392-  13 niter:150150  779m 55s (- 2204m 13s) completed: 26%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0505  acc: 0.5935  lr: 0.0000 
ep/it:392-  63 niter:150200  780m 10s (- 2203m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0514  acc: 0.5902  lr: 0.0000 
ep/it:392- 113 niter:150250  780m 24s (- 2203m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0485  acc: 0.5979  lr: 0.0000 
ep/it:392- 163 niter:150300  780m 39s (- 2203m 17s) completed: 26%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0506  acc: 0.6021  lr: 0.0000 
ep/it:392- 213 niter:150350  780m 53s (- 2202m 58s) completed: 26%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0495  acc: 0.6006  lr: 0.0000 
ep/it:392- 263 niter:150400  781m 8s (- 2202m 40s) completed: 26%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0516  acc: 0.5911  lr: 0.0000 
ep/it:392- 313 niter:150450  781m 23s (- 2202m 22s) completed: 26%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0508  acc: 0.5982  lr: 0.0000 
ep/it:392- 363 niter:150500  781m 38s (- 2202m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0511  acc: 0.5991  lr: 0.0000 
Validation loss:1.600, accuracy:0.564
ep/it:393-  30 niter:150550  781m 54s (- 2201m 52s) completed: 26%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0511  acc: 0.5922  lr: 0.0000 
ep/it:393-  80 niter:150600  782m 9s (- 2201m 33s) completed: 26%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0488  acc: 0.6042  lr: 0.0000 
ep/it:393- 130 niter:150650  782m 23s (- 2201m 13s) completed: 26%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0499  acc: 0.5964  lr: 0.0000 
ep/it:393- 180 niter:150700  782m 37s (- 2200m 52s) completed: 26%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0522  acc: 0.5966  lr: 0.0000 
ep/it:393- 230 niter:150750  782m 51s (- 2200m 32s) completed: 26%) loss_emb: 0.0000  loss: 1.4508  loss_TTT: 0.0511  acc: 0.5851  lr: 0.0000 
ep/it:393- 280 niter:150800  783m 5s (- 2200m 14s) completed: 26%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0507  acc: 0.6017  lr: 0.0000 
ep/it:393- 330 niter:150850  783m 19s (- 2199m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0506  acc: 0.5946  lr: 0.0000 
ep/it:393- 380 niter:150900  783m 34s (- 2199m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0534  acc: 0.5927  lr: 0.0000 
Validation loss:1.573, accuracy:0.572
ep/it:394-  47 niter:150950  783m 50s (- 2199m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0506  acc: 0.5977  lr: 0.0000 
ep/it:394-  97 niter:151000  784m 5s (- 2199m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0509  acc: 0.5983  lr: 0.0000 
ep/it:394- 147 niter:151050  784m 20s (- 2198m 47s) completed: 26%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0497  acc: 0.5945  lr: 0.0000 
ep/it:394- 197 niter:151100  784m 34s (- 2198m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0490  acc: 0.5965  lr: 0.0000 
ep/it:394- 247 niter:151150  784m 48s (- 2198m 7s) completed: 26%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0496  acc: 0.5953  lr: 0.0000 
ep/it:394- 297 niter:151200  785m 2s (- 2197m 47s) completed: 26%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0516  acc: 0.6006  lr: 0.0000 
ep/it:394- 347 niter:151250  785m 16s (- 2197m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0523  acc: 0.6014  lr: 0.0000 
Validation loss:1.615, accuracy:0.561
ep/it:395-  14 niter:151300  785m 33s (- 2197m 16s) completed: 26%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0537  acc: 0.5980  lr: 0.0000 
ep/it:395-  64 niter:151350  785m 47s (- 2196m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0490  acc: 0.6022  lr: 0.0000 
ep/it:395- 114 niter:151400  786m 1s (- 2196m 37s) completed: 26%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0524  acc: 0.5965  lr: 0.0000 
ep/it:395- 164 niter:151450  786m 16s (- 2196m 19s) completed: 26%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0518  acc: 0.5950  lr: 0.0000 
ep/it:395- 214 niter:151500  786m 30s (- 2196m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0509  acc: 0.5979  lr: 0.0000 
ep/it:395- 264 niter:151550  786m 45s (- 2195m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.4318  loss_TTT: 0.0504  acc: 0.5883  lr: 0.0000 
ep/it:395- 314 niter:151600  787m 0s (- 2195m 24s) completed: 26%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0500  acc: 0.5976  lr: 0.0000 
ep/it:395- 364 niter:151650  787m 14s (- 2195m 6s) completed: 26%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0498  acc: 0.5907  lr: 0.0000 
Validation loss:1.597, accuracy:0.564
ep/it:396-  31 niter:151700  787m 32s (- 2194m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0505  acc: 0.5912  lr: 0.0000 
ep/it:396-  81 niter:151750  787m 47s (- 2194m 38s) completed: 26%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0518  acc: 0.5954  lr: 0.0000 
ep/it:396- 131 niter:151800  788m 1s (- 2194m 19s) completed: 26%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0496  acc: 0.5948  lr: 0.0000 
ep/it:396- 181 niter:151850  788m 16s (- 2194m 1s) completed: 26%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0528  acc: 0.5993  lr: 0.0000 
ep/it:396- 231 niter:151900  788m 30s (- 2193m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0499  acc: 0.6009  lr: 0.0000 
ep/it:396- 281 niter:151950  788m 44s (- 2193m 22s) completed: 26%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0508  acc: 0.5993  lr: 0.0000 
ep/it:396- 331 niter:152000  788m 59s (- 2193m 3s) completed: 26%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0494  acc: 0.5997  lr: 0.0000 
ep/it:396- 381 niter:152050  789m 13s (- 2192m 45s) completed: 26%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0498  acc: 0.5952  lr: 0.0000 
Validation loss:1.622, accuracy:0.559
ep/it:397-  48 niter:152100  789m 30s (- 2192m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0518  acc: 0.5932  lr: 0.0000 
ep/it:397-  98 niter:152150  789m 45s (- 2192m 15s) completed: 26%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0497  acc: 0.5908  lr: 0.0000 
ep/it:397- 148 niter:152200  789m 59s (- 2191m 57s) completed: 26%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0511  acc: 0.5925  lr: 0.0000 
ep/it:397- 198 niter:152250  790m 14s (- 2191m 39s) completed: 26%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0505  acc: 0.5929  lr: 0.0000 
ep/it:397- 248 niter:152300  790m 28s (- 2191m 20s) completed: 26%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0494  acc: 0.6045  lr: 0.0000 
ep/it:397- 298 niter:152350  790m 43s (- 2191m 1s) completed: 26%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0509  acc: 0.5878  lr: 0.0000 
ep/it:397- 348 niter:152400  790m 58s (- 2190m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0516  acc: 0.5966  lr: 0.0000 
Validation loss:1.630, accuracy:0.556
ep/it:398-  15 niter:152450  791m 14s (- 2190m 31s) completed: 26%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0508  acc: 0.5974  lr: 0.0000 
ep/it:398-  65 niter:152500  791m 29s (- 2190m 13s) completed: 26%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0491  acc: 0.5988  lr: 0.0000 
ep/it:398- 115 niter:152550  791m 44s (- 2189m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0518  acc: 0.5951  lr: 0.0000 
ep/it:398- 165 niter:152600  791m 58s (- 2189m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0505  acc: 0.5941  lr: 0.0000 
ep/it:398- 215 niter:152650  792m 13s (- 2189m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0496  acc: 0.5980  lr: 0.0000 
ep/it:398- 265 niter:152700  792m 27s (- 2189m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0498  acc: 0.5963  lr: 0.0000 
ep/it:398- 315 niter:152750  792m 42s (- 2188m 42s) completed: 26%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0501  acc: 0.5938  lr: 0.0000 
ep/it:398- 365 niter:152800  792m 56s (- 2188m 22s) completed: 26%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0505  acc: 0.5994  lr: 0.0000 
Validation loss:1.587, accuracy:0.569
ep/it:399-  32 niter:152850  793m 14s (- 2188m 12s) completed: 26%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0510  acc: 0.5946  lr: 0.0000 
ep/it:399-  82 niter:152900  793m 28s (- 2187m 52s) completed: 26%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0496  acc: 0.5993  lr: 0.0000 
ep/it:399- 132 niter:152950  793m 42s (- 2187m 32s) completed: 26%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0501  acc: 0.5904  lr: 0.0000 
ep/it:399- 182 niter:153000  793m 56s (- 2187m 14s) completed: 26%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0509  acc: 0.6030  lr: 0.0000 
ep/it:399- 232 niter:153050  794m 11s (- 2186m 56s) completed: 26%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0497  acc: 0.5904  lr: 0.0000 
ep/it:399- 282 niter:153100  794m 25s (- 2186m 37s) completed: 26%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0511  acc: 0.5963  lr: 0.0000 
ep/it:399- 332 niter:153150  794m 40s (- 2186m 19s) completed: 26%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0511  acc: 0.5959  lr: 0.0000 
ep/it:399- 382 niter:153200  794m 54s (- 2186m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0510  acc: 0.5955  lr: 0.0000 
Validation loss:1.557, accuracy:0.574

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.26it/s]
 34%|███▍      | 16/47 [00:40<01:19,  2.58s/it]
 68%|██████▊   | 32/47 [01:20<00:38,  2.55s/it]
100%|██████████| 47/47 [01:21<00:00,  1.73s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.99351289216429 avg: 39.99351289216429
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.88285472802818 avg: 39.938183810096234
--> 	 Eva. Repeat 0 :, FID. 0.1151, Diversity Real. 9.6546, Diversity. 9.4504, R_precision_real. [0.51269531 0.70507812 0.79492188], R_precision. [0.52246094 0.72070312 0.82617188], matching_score_real. 2.9509, matching_score_pred. 2.9341, skate_ratio. 0.0525, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0625 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0127 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0293 
ep/it:400-  49 niter:153250  796m 33s (- 2189m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0508  acc: 0.5942  lr: 0.0000 
ep/it:400-  99 niter:153300  796m 48s (- 2189m 16s) completed: 26%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0520  acc: 0.5965  lr: 0.0000 
ep/it:400- 149 niter:153350  797m 3s (- 2188m 57s) completed: 26%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0502  acc: 0.6095  lr: 0.0000 
ep/it:400- 199 niter:153400  797m 17s (- 2188m 40s) completed: 26%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0516  acc: 0.5985  lr: 0.0000 
ep/it:400- 249 niter:153450  797m 32s (- 2188m 21s) completed: 26%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0505  acc: 0.5920  lr: 0.0000 
ep/it:400- 299 niter:153500  797m 46s (- 2188m 1s) completed: 26%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0516  acc: 0.5911  lr: 0.0000 
ep/it:400- 349 niter:153550  798m 0s (- 2187m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0520  acc: 0.5982  lr: 0.0000 
Validation loss:1.587, accuracy:0.569
ep/it:401-  16 niter:153600  798m 18s (- 2187m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.4408  loss_TTT: 0.0509  acc: 0.5867  lr: 0.0000 
ep/it:401-  66 niter:153650  798m 33s (- 2187m 15s) completed: 26%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0488  acc: 0.5996  lr: 0.0000 
ep/it:401- 116 niter:153700  798m 47s (- 2186m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0510  acc: 0.5891  lr: 0.0000 
ep/it:401- 166 niter:153750  799m 1s (- 2186m 36s) completed: 26%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0528  acc: 0.5981  lr: 0.0000 
ep/it:401- 216 niter:153800  799m 16s (- 2186m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0501  acc: 0.5975  lr: 0.0000 
ep/it:401- 266 niter:153850  799m 30s (- 2185m 59s) completed: 26%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0504  acc: 0.5915  lr: 0.0000 
ep/it:401- 316 niter:153900  799m 44s (- 2185m 39s) completed: 26%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0512  acc: 0.5931  lr: 0.0000 
ep/it:401- 366 niter:153950  799m 59s (- 2185m 21s) completed: 26%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0517  acc: 0.5906  lr: 0.0000 
Validation loss:1.589, accuracy:0.566
ep/it:402-  33 niter:154000  800m 16s (- 2185m 9s) completed: 26%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0511  acc: 0.5955  lr: 0.0000 
ep/it:402-  83 niter:154050  800m 30s (- 2184m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0492  acc: 0.5997  lr: 0.0000 
ep/it:402- 133 niter:154100  800m 44s (- 2184m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0499  acc: 0.5972  lr: 0.0000 
ep/it:402- 183 niter:154150  800m 58s (- 2184m 11s) completed: 26%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0487  acc: 0.5980  lr: 0.0000 
ep/it:402- 233 niter:154200  801m 12s (- 2183m 51s) completed: 26%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0495  acc: 0.5975  lr: 0.0000 
ep/it:402- 283 niter:154250  801m 26s (- 2183m 31s) completed: 26%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0520  acc: 0.5896  lr: 0.0000 
ep/it:402- 333 niter:154300  801m 41s (- 2183m 12s) completed: 26%) loss_emb: 0.0000  loss: 1.4129  loss_TTT: 0.0520  acc: 0.5958  lr: 0.0000 
Validation loss:1.577, accuracy:0.571
ep/it:403-   0 niter:154350  801m 57s (- 2182m 58s) completed: 26%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0530  acc: 0.5981  lr: 0.0000 
ep/it:403-  50 niter:154400  802m 11s (- 2182m 39s) completed: 26%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0509  acc: 0.5970  lr: 0.0000 
ep/it:403- 100 niter:154450  802m 26s (- 2182m 20s) completed: 26%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0514  acc: 0.5961  lr: 0.0000 
ep/it:403- 150 niter:154500  802m 40s (- 2182m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0502  acc: 0.5988  lr: 0.0000 
ep/it:403- 200 niter:154550  802m 54s (- 2181m 42s) completed: 26%) loss_emb: 0.0000  loss: 1.4245  loss_TTT: 0.0500  acc: 0.5910  lr: 0.0000 
ep/it:403- 250 niter:154600  803m 9s (- 2181m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0511  acc: 0.5966  lr: 0.0000 
ep/it:403- 300 niter:154650  803m 23s (- 2181m 3s) completed: 26%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0525  acc: 0.5966  lr: 0.0000 
ep/it:403- 350 niter:154700  803m 38s (- 2180m 46s) completed: 26%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0506  acc: 0.5986  lr: 0.0000 
Validation loss:1.573, accuracy:0.572
ep/it:404-  17 niter:154750  803m 55s (- 2180m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0522  acc: 0.5980  lr: 0.0000 
ep/it:404-  67 niter:154800  804m 10s (- 2180m 17s) completed: 26%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0487  acc: 0.5960  lr: 0.0000 
ep/it:404- 117 niter:154850  804m 24s (- 2179m 59s) completed: 26%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0515  acc: 0.5927  lr: 0.0000 
ep/it:404- 167 niter:154900  804m 39s (- 2179m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0509  acc: 0.5974  lr: 0.0000 
ep/it:404- 217 niter:154950  804m 54s (- 2179m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0543  acc: 0.5926  lr: 0.0000 
ep/it:404- 267 niter:155000  805m 8s (- 2179m 3s) completed: 26%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0515  acc: 0.5972  lr: 0.0000 
ep/it:404- 317 niter:155050  805m 23s (- 2178m 47s) completed: 26%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0516  acc: 0.6054  lr: 0.0000 
ep/it:404- 367 niter:155100  805m 38s (- 2178m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0527  acc: 0.5940  lr: 0.0000 
Validation loss:1.606, accuracy:0.564
ep/it:405-  34 niter:155150  805m 55s (- 2178m 18s) completed: 27%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0503  acc: 0.6041  lr: 0.0000 
ep/it:405-  84 niter:155200  806m 9s (- 2177m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0516  acc: 0.5956  lr: 0.0000 
ep/it:405- 134 niter:155250  806m 23s (- 2177m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0504  acc: 0.5951  lr: 0.0000 
ep/it:405- 184 niter:155300  806m 37s (- 2177m 19s) completed: 27%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0513  acc: 0.5988  lr: 0.0000 
ep/it:405- 234 niter:155350  806m 52s (- 2177m 1s) completed: 27%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0510  acc: 0.5941  lr: 0.0000 
ep/it:405- 284 niter:155400  807m 6s (- 2176m 41s) completed: 27%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0504  acc: 0.5951  lr: 0.0000 
ep/it:405- 334 niter:155450  807m 20s (- 2176m 22s) completed: 27%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0514  acc: 0.5917  lr: 0.0000 
Validation loss:1.587, accuracy:0.567
ep/it:406-   1 niter:155500  807m 37s (- 2176m 11s) completed: 27%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0489  acc: 0.5949  lr: 0.0000 
ep/it:406-  51 niter:155550  807m 52s (- 2175m 52s) completed: 27%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0511  acc: 0.5937  lr: 0.0000 
ep/it:406- 101 niter:155600  808m 6s (- 2175m 33s) completed: 27%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0516  acc: 0.5951  lr: 0.0000 
ep/it:406- 151 niter:155650  808m 20s (- 2175m 14s) completed: 27%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0523  acc: 0.5894  lr: 0.0000 
ep/it:406- 201 niter:155700  808m 35s (- 2174m 56s) completed: 27%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0495  acc: 0.5979  lr: 0.0000 
ep/it:406- 251 niter:155750  808m 50s (- 2174m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0518  acc: 0.5908  lr: 0.0000 
ep/it:406- 301 niter:155800  809m 4s (- 2174m 20s) completed: 27%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0502  acc: 0.5945  lr: 0.0000 
ep/it:406- 351 niter:155850  809m 18s (- 2174m 0s) completed: 27%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0492  acc: 0.6023  lr: 0.0000 
Validation loss:1.597, accuracy:0.565
ep/it:407-  18 niter:155900  809m 36s (- 2173m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0508  acc: 0.5947  lr: 0.0000 
ep/it:407-  68 niter:155950  809m 50s (- 2173m 31s) completed: 27%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0492  acc: 0.5956  lr: 0.0000 
ep/it:407- 118 niter:156000  810m 5s (- 2173m 14s) completed: 27%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0508  acc: 0.5894  lr: 0.0000 
ep/it:407- 168 niter:156050  810m 20s (- 2172m 57s) completed: 27%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0509  acc: 0.5983  lr: 0.0000 
ep/it:407- 218 niter:156100  810m 34s (- 2172m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0514  acc: 0.5955  lr: 0.0000 
ep/it:407- 268 niter:156150  810m 49s (- 2172m 18s) completed: 27%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0508  acc: 0.5940  lr: 0.0000 
ep/it:407- 318 niter:156200  811m 3s (- 2172m 0s) completed: 27%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0499  acc: 0.5997  lr: 0.0000 
ep/it:407- 368 niter:156250  811m 17s (- 2171m 40s) completed: 27%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0511  acc: 0.5940  lr: 0.0000 
Validation loss:1.615, accuracy:0.561
ep/it:408-  35 niter:156300  811m 34s (- 2171m 28s) completed: 27%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0526  acc: 0.5981  lr: 0.0000 
ep/it:408-  85 niter:156350  811m 49s (- 2171m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0497  acc: 0.6040  lr: 0.0000 
ep/it:408- 135 niter:156400  812m 3s (- 2170m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0509  acc: 0.5973  lr: 0.0000 
ep/it:408- 185 niter:156450  812m 18s (- 2170m 32s) completed: 27%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0492  acc: 0.5941  lr: 0.0000 
ep/it:408- 235 niter:156500  812m 32s (- 2170m 15s) completed: 27%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0528  acc: 0.5932  lr: 0.0000 
ep/it:408- 285 niter:156550  812m 47s (- 2169m 57s) completed: 27%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0511  acc: 0.5940  lr: 0.0000 
ep/it:408- 335 niter:156600  813m 1s (- 2169m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0509  acc: 0.5947  lr: 0.0000 
Validation loss:1.576, accuracy:0.571
ep/it:409-   2 niter:156650  813m 18s (- 2169m 26s) completed: 27%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0513  acc: 0.6003  lr: 0.0000 
ep/it:409-  52 niter:156700  813m 33s (- 2169m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0509  acc: 0.6039  lr: 0.0000 
ep/it:409- 102 niter:156750  813m 47s (- 2168m 49s) completed: 27%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0516  acc: 0.5991  lr: 0.0000 
ep/it:409- 152 niter:156800  814m 2s (- 2168m 30s) completed: 27%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0505  acc: 0.5905  lr: 0.0000 
ep/it:409- 202 niter:156850  814m 17s (- 2168m 13s) completed: 27%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0493  acc: 0.5958  lr: 0.0000 
ep/it:409- 252 niter:156900  814m 31s (- 2167m 54s) completed: 27%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0511  acc: 0.5960  lr: 0.0000 
ep/it:409- 302 niter:156950  814m 45s (- 2167m 35s) completed: 27%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0515  acc: 0.5960  lr: 0.0000 
ep/it:409- 352 niter:157000  815m 0s (- 2167m 17s) completed: 27%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0516  acc: 0.5896  lr: 0.0000 
Validation loss:1.579, accuracy:0.569

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.78it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.82802644837648 avg: 38.82802644837648
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.45842543616891 avg: 38.64322594227269
--> 	 Eva. Repeat 0 :, FID. 0.0798, Diversity Real. 9.5651, Diversity. 9.9863, R_precision_real. [0.50683594 0.7109375  0.79882812], R_precision. [0.51464844 0.71386719 0.80175781], matching_score_real. 2.9829, matching_score_pred. 3.0005, skate_ratio. 0.0503, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0732 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0150 (kps_fail_50cm (Loc. err)): 0.0011 (kps_mean_err(m) (Avg. err)): 0.0296 
ep/it:410-  19 niter:157050  816m 36s (- 2170m 35s) completed: 27%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0513  acc: 0.5889  lr: 0.0000 
ep/it:410-  69 niter:157100  816m 50s (- 2170m 16s) completed: 27%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0516  acc: 0.5975  lr: 0.0000 
ep/it:410- 119 niter:157150  817m 4s (- 2169m 56s) completed: 27%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0527  acc: 0.5985  lr: 0.0000 
ep/it:410- 169 niter:157200  817m 18s (- 2169m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0507  acc: 0.5936  lr: 0.0000 
ep/it:410- 219 niter:157250  817m 32s (- 2169m 18s) completed: 27%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0511  acc: 0.5979  lr: 0.0000 
ep/it:410- 269 niter:157300  817m 47s (- 2168m 59s) completed: 27%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0508  acc: 0.5994  lr: 0.0000 
ep/it:410- 319 niter:157350  818m 1s (- 2168m 40s) completed: 27%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0500  acc: 0.5986  lr: 0.0000 
ep/it:410- 369 niter:157400  818m 16s (- 2168m 21s) completed: 27%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0508  acc: 0.6005  lr: 0.0000 
Validation loss:1.543, accuracy:0.579
ep/it:411-  36 niter:157450  818m 33s (- 2168m 10s) completed: 27%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0508  acc: 0.5996  lr: 0.0000 
ep/it:411-  86 niter:157500  818m 47s (- 2167m 51s) completed: 27%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0497  acc: 0.5912  lr: 0.0000 
ep/it:411- 136 niter:157550  819m 2s (- 2167m 34s) completed: 27%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0515  acc: 0.5984  lr: 0.0000 
ep/it:411- 186 niter:157600  819m 17s (- 2167m 17s) completed: 27%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0513  acc: 0.5963  lr: 0.0000 
ep/it:411- 236 niter:157650  819m 32s (- 2166m 59s) completed: 27%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0501  acc: 0.6008  lr: 0.0000 
ep/it:411- 286 niter:157700  819m 47s (- 2166m 40s) completed: 27%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0503  acc: 0.5971  lr: 0.0000 
ep/it:411- 336 niter:157750  820m 1s (- 2166m 22s) completed: 27%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0492  acc: 0.6023  lr: 0.0000 
Validation loss:1.621, accuracy:0.558
ep/it:412-   3 niter:157800  820m 18s (- 2166m 10s) completed: 27%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0507  acc: 0.5945  lr: 0.0000 
ep/it:412-  53 niter:157850  820m 32s (- 2165m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0492  acc: 0.5979  lr: 0.0000 
ep/it:412- 103 niter:157900  820m 47s (- 2165m 33s) completed: 27%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0529  acc: 0.5918  lr: 0.0000 
ep/it:412- 153 niter:157950  821m 2s (- 2165m 15s) completed: 27%) loss_emb: 0.0000  loss: 1.4247  loss_TTT: 0.0533  acc: 0.5914  lr: 0.0000 
ep/it:412- 203 niter:158000  821m 16s (- 2164m 56s) completed: 27%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0527  acc: 0.5969  lr: 0.0000 
ep/it:412- 253 niter:158050  821m 30s (- 2164m 38s) completed: 27%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0508  acc: 0.5944  lr: 0.0000 
ep/it:412- 303 niter:158100  821m 45s (- 2164m 18s) completed: 27%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0525  acc: 0.5934  lr: 0.0000 
ep/it:412- 353 niter:158150  821m 58s (- 2163m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0496  acc: 0.5959  lr: 0.0000 
Validation loss:1.600, accuracy:0.563
ep/it:413-  20 niter:158200  822m 16s (- 2163m 48s) completed: 27%) loss_emb: 0.0000  loss: 1.4129  loss_TTT: 0.0527  acc: 0.5953  lr: 0.0000 
ep/it:413-  70 niter:158250  822m 31s (- 2163m 29s) completed: 27%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0521  acc: 0.5975  lr: 0.0000 
ep/it:413- 120 niter:158300  822m 45s (- 2163m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0500  acc: 0.5927  lr: 0.0000 
ep/it:413- 170 niter:158350  822m 59s (- 2162m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0535  acc: 0.5929  lr: 0.0000 
ep/it:413- 220 niter:158400  823m 13s (- 2162m 32s) completed: 27%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0527  acc: 0.5999  lr: 0.0000 
ep/it:413- 270 niter:158450  823m 28s (- 2162m 13s) completed: 27%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0498  acc: 0.5995  lr: 0.0000 
ep/it:413- 320 niter:158500  823m 42s (- 2161m 54s) completed: 27%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0498  acc: 0.5943  lr: 0.0000 
ep/it:413- 370 niter:158550  823m 57s (- 2161m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.4557  loss_TTT: 0.0516  acc: 0.5839  lr: 0.0000 
Validation loss:1.608, accuracy:0.562
ep/it:414-  37 niter:158600  824m 14s (- 2161m 25s) completed: 27%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0509  acc: 0.5926  lr: 0.0000 
ep/it:414-  87 niter:158650  824m 29s (- 2161m 7s) completed: 27%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0521  acc: 0.5987  lr: 0.0000 
ep/it:414- 137 niter:158700  824m 43s (- 2160m 48s) completed: 27%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0515  acc: 0.5968  lr: 0.0000 
ep/it:414- 187 niter:158750  824m 57s (- 2160m 28s) completed: 27%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0515  acc: 0.5920  lr: 0.0000 
ep/it:414- 237 niter:158800  825m 11s (- 2160m 8s) completed: 27%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0510  acc: 0.5960  lr: 0.0000 
ep/it:414- 287 niter:158850  825m 25s (- 2159m 49s) completed: 27%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0511  acc: 0.6034  lr: 0.0000 
ep/it:414- 337 niter:158900  825m 39s (- 2159m 30s) completed: 27%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0513  acc: 0.5967  lr: 0.0000 
Validation loss:1.612, accuracy:0.562
ep/it:415-   4 niter:158950  825m 56s (- 2159m 17s) completed: 27%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0495  acc: 0.6022  lr: 0.0000 
ep/it:415-  54 niter:159000  826m 10s (- 2158m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.4444  loss_TTT: 0.0514  acc: 0.5874  lr: 0.0000 
ep/it:415- 104 niter:159050  826m 24s (- 2158m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0527  acc: 0.5933  lr: 0.0000 
ep/it:415- 154 niter:159100  826m 38s (- 2158m 19s) completed: 27%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0527  acc: 0.5946  lr: 0.0000 
ep/it:415- 204 niter:159150  826m 53s (- 2158m 0s) completed: 27%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0544  acc: 0.6006  lr: 0.0000 
ep/it:415- 254 niter:159200  827m 7s (- 2157m 41s) completed: 27%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0507  acc: 0.5983  lr: 0.0000 
ep/it:415- 304 niter:159250  827m 21s (- 2157m 21s) completed: 27%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0509  acc: 0.5970  lr: 0.0000 
ep/it:415- 354 niter:159300  827m 35s (- 2157m 2s) completed: 27%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0519  acc: 0.5852  lr: 0.0000 
Validation loss:1.674, accuracy:0.545
ep/it:416-  21 niter:159350  827m 52s (- 2156m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0535  acc: 0.5898  lr: 0.0000 
ep/it:416-  71 niter:159400  828m 7s (- 2156m 32s) completed: 27%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0509  acc: 0.5879  lr: 0.0000 
ep/it:416- 121 niter:159450  828m 21s (- 2156m 14s) completed: 27%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0503  acc: 0.5962  lr: 0.0000 
ep/it:416- 171 niter:159500  828m 36s (- 2155m 56s) completed: 27%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0509  acc: 0.6025  lr: 0.0000 
ep/it:416- 221 niter:159550  828m 51s (- 2155m 38s) completed: 27%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0508  acc: 0.5915  lr: 0.0000 
ep/it:416- 271 niter:159600  829m 5s (- 2155m 20s) completed: 27%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0528  acc: 0.5928  lr: 0.0000 
ep/it:416- 321 niter:159650  829m 20s (- 2155m 1s) completed: 27%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0541  acc: 0.5987  lr: 0.0000 
ep/it:416- 371 niter:159700  829m 35s (- 2154m 44s) completed: 27%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0530  acc: 0.5941  lr: 0.0000 
Validation loss:1.619, accuracy:0.560
ep/it:417-  38 niter:159750  829m 51s (- 2154m 31s) completed: 27%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0507  acc: 0.5970  lr: 0.0000 
ep/it:417-  88 niter:159800  830m 5s (- 2154m 12s) completed: 27%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0487  acc: 0.5987  lr: 0.0000 
ep/it:417- 138 niter:159850  830m 20s (- 2153m 53s) completed: 27%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0512  acc: 0.5919  lr: 0.0000 
ep/it:417- 188 niter:159900  830m 34s (- 2153m 33s) completed: 27%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0517  acc: 0.5914  lr: 0.0000 
ep/it:417- 238 niter:159950  830m 48s (- 2153m 14s) completed: 27%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0520  acc: 0.5940  lr: 0.0000 
ep/it:417- 288 niter:160000  831m 2s (- 2152m 56s) completed: 27%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0558  acc: 0.5932  lr: 0.0000 
ep/it:417- 338 niter:160050  831m 17s (- 2152m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0545  acc: 0.5950  lr: 0.0000 
Validation loss:1.662, accuracy:0.550
ep/it:418-   5 niter:160100  831m 34s (- 2152m 26s) completed: 27%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0524  acc: 0.5900  lr: 0.0000 
ep/it:418-  55 niter:160150  831m 48s (- 2152m 7s) completed: 27%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0517  acc: 0.5877  lr: 0.0000 
ep/it:418- 105 niter:160200  832m 3s (- 2151m 48s) completed: 27%) loss_emb: 0.0000  loss: 1.4388  loss_TTT: 0.0513  acc: 0.5881  lr: 0.0000 
ep/it:418- 155 niter:160250  832m 17s (- 2151m 28s) completed: 27%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0528  acc: 0.5970  lr: 0.0000 
ep/it:418- 205 niter:160300  832m 31s (- 2151m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0514  acc: 0.5945  lr: 0.0000 
ep/it:418- 255 niter:160350  832m 45s (- 2150m 51s) completed: 27%) loss_emb: 0.0000  loss: 1.4467  loss_TTT: 0.0514  acc: 0.5863  lr: 0.0000 
ep/it:418- 305 niter:160400  833m 0s (- 2150m 33s) completed: 27%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0516  acc: 0.5956  lr: 0.0000 
ep/it:418- 355 niter:160450  833m 15s (- 2150m 15s) completed: 27%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0522  acc: 0.5963  lr: 0.0000 
Validation loss:1.643, accuracy:0.553
ep/it:419-  22 niter:160500  833m 32s (- 2150m 3s) completed: 27%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0538  acc: 0.5935  lr: 0.0000 
ep/it:419-  72 niter:160550  833m 46s (- 2149m 44s) completed: 27%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0535  acc: 0.5975  lr: 0.0000 
ep/it:419- 122 niter:160600  834m 1s (- 2149m 27s) completed: 27%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0518  acc: 0.6035  lr: 0.0000 
ep/it:419- 172 niter:160650  834m 15s (- 2149m 8s) completed: 27%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0531  acc: 0.6004  lr: 0.0000 
ep/it:419- 222 niter:160700  834m 29s (- 2148m 49s) completed: 27%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0515  acc: 0.5902  lr: 0.0000 
ep/it:419- 272 niter:160750  834m 44s (- 2148m 31s) completed: 27%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0516  acc: 0.6000  lr: 0.0000 
ep/it:419- 322 niter:160800  834m 58s (- 2148m 11s) completed: 27%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0524  acc: 0.5897  lr: 0.0000 
ep/it:419- 372 niter:160850  835m 12s (- 2147m 52s) completed: 27%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0507  acc: 0.5948  lr: 0.0000 
Validation loss:1.600, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.95it/s]
 34%|███▍      | 16/47 [00:40<01:19,  2.57s/it]
 68%|██████▊   | 32/47 [01:20<00:37,  2.51s/it]
100%|██████████| 47/47 [01:20<00:00,  1.71s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.95128358062357 avg: 39.95128358062357
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.31013304088265 avg: 39.63070831075311
--> 	 Eva. Repeat 0 :, FID. 0.0888, Diversity Real. 9.2943, Diversity. 9.1315, R_precision_real. [0.50390625 0.69140625 0.77148438], R_precision. [0.50488281 0.69726562 0.78515625], matching_score_real. 2.9895, matching_score_pred. 2.9596, skate_ratio. 0.0481, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0801 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0163 (kps_fail_50cm (Loc. err)): 0.0015 (kps_mean_err(m) (Avg. err)): 0.0301 
ep/it:420-  39 niter:160900  836m 50s (- 2151m 8s) completed: 28%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0522  acc: 0.5897  lr: 0.0000 
ep/it:420-  89 niter:160950  837m 4s (- 2150m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0505  acc: 0.6009  lr: 0.0000 
ep/it:420- 139 niter:161000  837m 18s (- 2150m 29s) completed: 28%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0508  acc: 0.5955  lr: 0.0000 
ep/it:420- 189 niter:161050  837m 33s (- 2150m 12s) completed: 28%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0500  acc: 0.5991  lr: 0.0000 
ep/it:420- 239 niter:161100  837m 48s (- 2149m 54s) completed: 28%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0511  acc: 0.5922  lr: 0.0000 
ep/it:420- 289 niter:161150  838m 2s (- 2149m 35s) completed: 28%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0512  acc: 0.5894  lr: 0.0000 
ep/it:420- 339 niter:161200  838m 17s (- 2149m 16s) completed: 28%) loss_emb: 0.0000  loss: 1.4247  loss_TTT: 0.0511  acc: 0.5914  lr: 0.0000 
Validation loss:1.652, accuracy:0.551
ep/it:421-   6 niter:161250  838m 33s (- 2149m 4s) completed: 28%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0503  acc: 0.5896  lr: 0.0000 
ep/it:421-  56 niter:161300  838m 47s (- 2148m 44s) completed: 28%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0531  acc: 0.6034  lr: 0.0000 
ep/it:421- 106 niter:161350  839m 2s (- 2148m 26s) completed: 28%) loss_emb: 0.0000  loss: 1.4223  loss_TTT: 0.0531  acc: 0.5929  lr: 0.0000 
ep/it:421- 156 niter:161400  839m 17s (- 2148m 8s) completed: 28%) loss_emb: 0.0000  loss: 1.4385  loss_TTT: 0.0513  acc: 0.5889  lr: 0.0000 
ep/it:421- 206 niter:161450  839m 31s (- 2147m 48s) completed: 28%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0538  acc: 0.5938  lr: 0.0000 
ep/it:421- 256 niter:161500  839m 45s (- 2147m 30s) completed: 28%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0512  acc: 0.5979  lr: 0.0000 
ep/it:421- 306 niter:161550  840m 1s (- 2147m 13s) completed: 28%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0517  acc: 0.5964  lr: 0.0000 
ep/it:421- 356 niter:161600  840m 15s (- 2146m 55s) completed: 28%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0513  acc: 0.5963  lr: 0.0000 
Validation loss:1.639, accuracy:0.554
ep/it:422-  23 niter:161650  840m 32s (- 2146m 43s) completed: 28%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0512  acc: 0.5967  lr: 0.0000 
ep/it:422-  73 niter:161700  840m 47s (- 2146m 27s) completed: 28%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0516  acc: 0.6030  lr: 0.0000 
ep/it:422- 123 niter:161750  841m 2s (- 2146m 10s) completed: 28%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0526  acc: 0.5953  lr: 0.0000 
ep/it:422- 173 niter:161800  841m 17s (- 2145m 52s) completed: 28%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0511  acc: 0.5924  lr: 0.0000 
ep/it:422- 223 niter:161850  841m 32s (- 2145m 35s) completed: 28%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0514  acc: 0.5968  lr: 0.0000 
ep/it:422- 273 niter:161900  841m 46s (- 2145m 15s) completed: 28%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0521  acc: 0.5959  lr: 0.0000 
ep/it:422- 323 niter:161950  842m 1s (- 2144m 56s) completed: 28%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0508  acc: 0.5928  lr: 0.0000 
ep/it:422- 373 niter:162000  842m 15s (- 2144m 39s) completed: 28%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0503  acc: 0.5986  lr: 0.0000 
Validation loss:1.510, accuracy:0.588
Improved accuracy from 0.58 to 0.59 !!!
ep/it:423-  40 niter:162050  842m 33s (- 2144m 29s) completed: 28%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0515  acc: 0.5939  lr: 0.0000 
ep/it:423-  90 niter:162100  842m 48s (- 2144m 11s) completed: 28%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0513  acc: 0.5998  lr: 0.0000 
ep/it:423- 140 niter:162150  843m 3s (- 2143m 54s) completed: 28%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0544  acc: 0.5932  lr: 0.0000 
ep/it:423- 190 niter:162200  843m 17s (- 2143m 36s) completed: 28%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0527  acc: 0.5931  lr: 0.0000 
ep/it:423- 240 niter:162250  843m 31s (- 2143m 16s) completed: 28%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0527  acc: 0.5912  lr: 0.0000 
ep/it:423- 290 niter:162300  843m 46s (- 2142m 59s) completed: 28%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0505  acc: 0.5965  lr: 0.0000 
ep/it:423- 340 niter:162350  844m 0s (- 2142m 39s) completed: 28%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0514  acc: 0.5983  lr: 0.0000 
Validation loss:1.569, accuracy:0.572
ep/it:424-   7 niter:162400  844m 17s (- 2142m 26s) completed: 28%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0518  acc: 0.5943  lr: 0.0000 
ep/it:424-  57 niter:162450  844m 32s (- 2142m 9s) completed: 28%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0515  acc: 0.6026  lr: 0.0000 
ep/it:424- 107 niter:162500  844m 46s (- 2141m 51s) completed: 28%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0531  acc: 0.6011  lr: 0.0000 
ep/it:424- 157 niter:162550  845m 2s (- 2141m 34s) completed: 28%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0526  acc: 0.5954  lr: 0.0000 
ep/it:424- 207 niter:162600  845m 16s (- 2141m 15s) completed: 28%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0520  acc: 0.5966  lr: 0.0000 
ep/it:424- 257 niter:162650  845m 31s (- 2140m 58s) completed: 28%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0510  acc: 0.5959  lr: 0.0000 
ep/it:424- 307 niter:162700  845m 45s (- 2140m 40s) completed: 28%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0502  acc: 0.5937  lr: 0.0000 
ep/it:424- 357 niter:162750  846m 0s (- 2140m 21s) completed: 28%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0507  acc: 0.5899  lr: 0.0000 
Validation loss:1.630, accuracy:0.557
ep/it:425-  24 niter:162800  846m 17s (- 2140m 10s) completed: 28%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0513  acc: 0.5927  lr: 0.0000 
ep/it:425-  74 niter:162850  846m 32s (- 2139m 52s) completed: 28%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0504  acc: 0.5921  lr: 0.0000 
ep/it:425- 124 niter:162900  846m 46s (- 2139m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.4319  loss_TTT: 0.0535  acc: 0.5895  lr: 0.0000 
ep/it:425- 174 niter:162950  847m 1s (- 2139m 16s) completed: 28%) loss_emb: 0.0000  loss: 1.4406  loss_TTT: 0.0503  acc: 0.5865  lr: 0.0000 
ep/it:425- 224 niter:163000  847m 16s (- 2138m 58s) completed: 28%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0511  acc: 0.5938  lr: 0.0000 
ep/it:425- 274 niter:163050  847m 31s (- 2138m 41s) completed: 28%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0520  acc: 0.5943  lr: 0.0000 
ep/it:425- 324 niter:163100  847m 46s (- 2138m 24s) completed: 28%) loss_emb: 0.0000  loss: 1.4392  loss_TTT: 0.0533  acc: 0.5890  lr: 0.0000 
ep/it:425- 374 niter:163150  848m 1s (- 2138m 7s) completed: 28%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0514  acc: 0.6001  lr: 0.0000 
Validation loss:1.643, accuracy:0.554
ep/it:426-  41 niter:163200  848m 17s (- 2137m 54s) completed: 28%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0495  acc: 0.5973  lr: 0.0000 
ep/it:426-  91 niter:163250  848m 32s (- 2137m 35s) completed: 28%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0524  acc: 0.6062  lr: 0.0000 
ep/it:426- 141 niter:163300  848m 47s (- 2137m 17s) completed: 28%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0522  acc: 0.5928  lr: 0.0000 
ep/it:426- 191 niter:163350  849m 1s (- 2136m 58s) completed: 28%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0528  acc: 0.5961  lr: 0.0000 
ep/it:426- 241 niter:163400  849m 15s (- 2136m 40s) completed: 28%) loss_emb: 0.0000  loss: 1.4464  loss_TTT: 0.0508  acc: 0.5861  lr: 0.0000 
ep/it:426- 291 niter:163450  849m 30s (- 2136m 22s) completed: 28%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0537  acc: 0.5952  lr: 0.0000 
ep/it:426- 341 niter:163500  849m 44s (- 2136m 3s) completed: 28%) loss_emb: 0.0000  loss: 1.4277  loss_TTT: 0.0535  acc: 0.5914  lr: 0.0000 
Validation loss:1.622, accuracy:0.558
ep/it:427-   8 niter:163550  850m 2s (- 2135m 53s) completed: 28%) loss_emb: 0.0000  loss: 1.4434  loss_TTT: 0.0540  acc: 0.5874  lr: 0.0000 
ep/it:427-  58 niter:163600  850m 16s (- 2135m 34s) completed: 28%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0509  acc: 0.5912  lr: 0.0000 
ep/it:427- 108 niter:163650  850m 30s (- 2135m 15s) completed: 28%) loss_emb: 0.0000  loss: 1.4362  loss_TTT: 0.0532  acc: 0.5884  lr: 0.0000 
ep/it:427- 158 niter:163700  850m 45s (- 2134m 56s) completed: 28%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0521  acc: 0.5956  lr: 0.0000 
ep/it:427- 208 niter:163750  850m 59s (- 2134m 37s) completed: 28%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0526  acc: 0.6012  lr: 0.0000 
ep/it:427- 258 niter:163800  851m 14s (- 2134m 19s) completed: 28%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0541  acc: 0.5935  lr: 0.0000 
ep/it:427- 308 niter:163850  851m 28s (- 2134m 0s) completed: 28%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0523  acc: 0.5986  lr: 0.0000 
ep/it:427- 358 niter:163900  851m 42s (- 2133m 41s) completed: 28%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0524  acc: 0.5944  lr: 0.0000 
Validation loss:1.613, accuracy:0.563
ep/it:428-  25 niter:163950  851m 59s (- 2133m 30s) completed: 28%) loss_emb: 0.0000  loss: 1.4429  loss_TTT: 0.0522  acc: 0.5877  lr: 0.0000 
ep/it:428-  75 niter:164000  852m 13s (- 2133m 10s) completed: 28%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0520  acc: 0.5976  lr: 0.0000 
ep/it:428- 125 niter:164050  852m 28s (- 2132m 52s) completed: 28%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0534  acc: 0.5959  lr: 0.0000 
ep/it:428- 175 niter:164100  852m 42s (- 2132m 32s) completed: 28%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0507  acc: 0.6004  lr: 0.0000 
ep/it:428- 225 niter:164150  852m 56s (- 2132m 14s) completed: 28%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0518  acc: 0.5897  lr: 0.0000 
ep/it:428- 275 niter:164200  853m 11s (- 2131m 55s) completed: 28%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0520  acc: 0.5914  lr: 0.0000 
ep/it:428- 325 niter:164250  853m 25s (- 2131m 37s) completed: 28%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0535  acc: 0.5906  lr: 0.0000 
ep/it:428- 375 niter:164300  853m 39s (- 2131m 17s) completed: 28%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0514  acc: 0.5954  lr: 0.0000 
Validation loss:1.594, accuracy:0.567
ep/it:429-  42 niter:164350  853m 56s (- 2131m 4s) completed: 28%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0519  acc: 0.5991  lr: 0.0000 
ep/it:429-  92 niter:164400  854m 10s (- 2130m 45s) completed: 28%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0556  acc: 0.5875  lr: 0.0000 
ep/it:429- 142 niter:164450  854m 24s (- 2130m 26s) completed: 28%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0521  acc: 0.5941  lr: 0.0000 
ep/it:429- 192 niter:164500  854m 38s (- 2130m 6s) completed: 28%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0535  acc: 0.5902  lr: 0.0000 
ep/it:429- 242 niter:164550  854m 52s (- 2129m 48s) completed: 28%) loss_emb: 0.0000  loss: 1.4421  loss_TTT: 0.0524  acc: 0.5884  lr: 0.0000 
ep/it:429- 292 niter:164600  855m 7s (- 2129m 28s) completed: 28%) loss_emb: 0.0000  loss: 1.4305  loss_TTT: 0.0537  acc: 0.5910  lr: 0.0000 
ep/it:429- 342 niter:164650  855m 21s (- 2129m 9s) completed: 28%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0526  acc: 0.5927  lr: 0.0000 
Validation loss:1.613, accuracy:0.561

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.75it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.61302990093827 avg: 38.61302990093827
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.12890438269824 avg: 38.870967141818255
--> 	 Eva. Repeat 0 :, FID. 0.0983, Diversity Real. 9.4524, Diversity. 9.4372, R_precision_real. [0.5390625  0.71679688 0.8046875 ], R_precision. [0.51757812 0.71386719 0.79589844], matching_score_real. 2.9042, matching_score_pred. 2.9492, skate_ratio. 0.0513, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0840 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0159 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0306 
ep/it:430-   9 niter:164700  856m 57s (- 2132m 14s) completed: 28%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0544  acc: 0.5893  lr: 0.0000 
ep/it:430-  59 niter:164750  857m 11s (- 2131m 55s) completed: 28%) loss_emb: 0.0000  loss: 1.4469  loss_TTT: 0.0506  acc: 0.5862  lr: 0.0000 
ep/it:430- 109 niter:164800  857m 25s (- 2131m 35s) completed: 28%) loss_emb: 0.0000  loss: 1.4395  loss_TTT: 0.0553  acc: 0.5890  lr: 0.0000 
ep/it:430- 159 niter:164850  857m 39s (- 2131m 17s) completed: 28%) loss_emb: 0.0000  loss: 1.4327  loss_TTT: 0.0521  acc: 0.5886  lr: 0.0000 
ep/it:430- 209 niter:164900  857m 54s (- 2130m 58s) completed: 28%) loss_emb: 0.0000  loss: 1.4368  loss_TTT: 0.0535  acc: 0.5904  lr: 0.0000 
ep/it:430- 259 niter:164950  858m 8s (- 2130m 38s) completed: 28%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0551  acc: 0.5920  lr: 0.0000 
ep/it:430- 309 niter:165000  858m 22s (- 2130m 18s) completed: 28%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0544  acc: 0.5960  lr: 0.0000 
ep/it:430- 359 niter:165050  858m 36s (- 2130m 0s) completed: 28%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0552  acc: 0.5920  lr: 0.0000 
Validation loss:1.623, accuracy:0.560
ep/it:431-  26 niter:165100  858m 53s (- 2129m 47s) completed: 28%) loss_emb: 0.0000  loss: 1.4331  loss_TTT: 0.0565  acc: 0.5903  lr: 0.0000 
ep/it:431-  76 niter:165150  859m 7s (- 2129m 29s) completed: 28%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0535  acc: 0.5947  lr: 0.0000 
ep/it:431- 126 niter:165200  859m 22s (- 2129m 10s) completed: 28%) loss_emb: 0.0000  loss: 1.4315  loss_TTT: 0.0549  acc: 0.5905  lr: 0.0000 
ep/it:431- 176 niter:165250  859m 36s (- 2128m 51s) completed: 28%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0510  acc: 0.6022  lr: 0.0000 
ep/it:431- 226 niter:165300  859m 51s (- 2128m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0512  acc: 0.5972  lr: 0.0000 
ep/it:431- 276 niter:165350  860m 5s (- 2128m 15s) completed: 28%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0508  acc: 0.6009  lr: 0.0000 
ep/it:431- 326 niter:165400  860m 19s (- 2127m 56s) completed: 28%) loss_emb: 0.0000  loss: 1.4414  loss_TTT: 0.0535  acc: 0.5880  lr: 0.0000 
ep/it:431- 376 niter:165450  860m 34s (- 2127m 39s) completed: 28%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0512  acc: 0.5943  lr: 0.0000 
Validation loss:1.658, accuracy:0.551
ep/it:432-  43 niter:165500  860m 51s (- 2127m 27s) completed: 28%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0498  acc: 0.5939  lr: 0.0000 
ep/it:432-  93 niter:165550  861m 6s (- 2127m 8s) completed: 28%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0524  acc: 0.5967  lr: 0.0000 
ep/it:432- 143 niter:165600  861m 20s (- 2126m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0524  acc: 0.5950  lr: 0.0000 
ep/it:432- 193 niter:165650  861m 35s (- 2126m 31s) completed: 28%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0501  acc: 0.6032  lr: 0.0000 
ep/it:432- 243 niter:165700  861m 49s (- 2126m 13s) completed: 28%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0527  acc: 0.5962  lr: 0.0000 
ep/it:432- 293 niter:165750  862m 3s (- 2125m 53s) completed: 28%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0517  acc: 0.5901  lr: 0.0000 
ep/it:432- 343 niter:165800  862m 17s (- 2125m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0535  acc: 0.5899  lr: 0.0000 
Validation loss:1.602, accuracy:0.564
ep/it:433-  10 niter:165850  862m 34s (- 2125m 21s) completed: 28%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0499  acc: 0.5990  lr: 0.0000 
ep/it:433-  60 niter:165900  862m 48s (- 2125m 3s) completed: 28%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0532  acc: 0.5940  lr: 0.0000 
ep/it:433- 110 niter:165950  863m 3s (- 2124m 44s) completed: 28%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0520  acc: 0.5983  lr: 0.0000 
ep/it:433- 160 niter:166000  863m 18s (- 2124m 26s) completed: 28%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0528  acc: 0.5937  lr: 0.0000 
ep/it:433- 210 niter:166050  863m 33s (- 2124m 10s) completed: 28%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0537  acc: 0.5911  lr: 0.0000 
ep/it:433- 260 niter:166100  863m 47s (- 2123m 52s) completed: 28%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0489  acc: 0.5988  lr: 0.0000 
ep/it:433- 310 niter:166150  864m 2s (- 2123m 34s) completed: 28%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0512  acc: 0.5976  lr: 0.0000 
ep/it:433- 360 niter:166200  864m 16s (- 2123m 15s) completed: 28%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0520  acc: 0.6022  lr: 0.0000 
Validation loss:1.620, accuracy:0.559
ep/it:434-  27 niter:166250  864m 33s (- 2123m 3s) completed: 28%) loss_emb: 0.0000  loss: 1.4403  loss_TTT: 0.0520  acc: 0.5879  lr: 0.0000 
ep/it:434-  77 niter:166300  864m 48s (- 2122m 44s) completed: 28%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0515  acc: 0.5930  lr: 0.0000 
ep/it:434- 127 niter:166350  865m 2s (- 2122m 26s) completed: 28%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0528  acc: 0.5942  lr: 0.0000 
ep/it:434- 177 niter:166400  865m 16s (- 2122m 7s) completed: 28%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0494  acc: 0.5916  lr: 0.0000 
ep/it:434- 227 niter:166450  865m 31s (- 2121m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0499  acc: 0.6001  lr: 0.0000 
ep/it:434- 277 niter:166500  865m 46s (- 2121m 31s) completed: 28%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0533  acc: 0.5996  lr: 0.0000 
ep/it:434- 327 niter:166550  866m 1s (- 2121m 14s) completed: 28%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0528  acc: 0.5986  lr: 0.0000 
ep/it:434- 377 niter:166600  866m 15s (- 2120m 56s) completed: 28%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0498  acc: 0.5991  lr: 0.0000 
Validation loss:1.592, accuracy:0.565
ep/it:435-  44 niter:166650  866m 32s (- 2120m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0513  acc: 0.5947  lr: 0.0000 
ep/it:435-  94 niter:166700  866m 47s (- 2120m 25s) completed: 29%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0522  acc: 0.5923  lr: 0.0000 
ep/it:435- 144 niter:166750  867m 1s (- 2120m 7s) completed: 29%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0523  acc: 0.5912  lr: 0.0000 
ep/it:435- 194 niter:166800  867m 16s (- 2119m 50s) completed: 29%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0511  acc: 0.5974  lr: 0.0000 
ep/it:435- 244 niter:166850  867m 30s (- 2119m 31s) completed: 29%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0524  acc: 0.5964  lr: 0.0000 
ep/it:435- 294 niter:166900  867m 45s (- 2119m 13s) completed: 29%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0520  acc: 0.5914  lr: 0.0000 
ep/it:435- 344 niter:166950  868m 0s (- 2118m 56s) completed: 29%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0496  acc: 0.6019  lr: 0.0000 
Validation loss:1.629, accuracy:0.554
ep/it:436-  11 niter:167000  868m 17s (- 2118m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0517  acc: 0.6010  lr: 0.0000 
ep/it:436-  61 niter:167050  868m 32s (- 2118m 26s) completed: 29%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0504  acc: 0.6016  lr: 0.0000 
ep/it:436- 111 niter:167100  868m 47s (- 2118m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0518  acc: 0.5938  lr: 0.0000 
ep/it:436- 161 niter:167150  869m 1s (- 2117m 50s) completed: 29%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0518  acc: 0.5974  lr: 0.0000 
ep/it:436- 211 niter:167200  869m 15s (- 2117m 32s) completed: 29%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0524  acc: 0.5963  lr: 0.0000 
ep/it:436- 261 niter:167250  869m 30s (- 2117m 14s) completed: 29%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0516  acc: 0.5936  lr: 0.0000 
ep/it:436- 311 niter:167300  869m 45s (- 2116m 56s) completed: 29%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0522  acc: 0.5910  lr: 0.0000 
ep/it:436- 361 niter:167350  869m 59s (- 2116m 37s) completed: 29%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0516  acc: 0.5918  lr: 0.0000 
Validation loss:1.586, accuracy:0.567
ep/it:437-  28 niter:167400  870m 16s (- 2116m 26s) completed: 29%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0510  acc: 0.5993  lr: 0.0000 
ep/it:437-  78 niter:167450  870m 31s (- 2116m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0523  acc: 0.5942  lr: 0.0000 
ep/it:437- 128 niter:167500  870m 45s (- 2115m 49s) completed: 29%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0514  acc: 0.5953  lr: 0.0000 
ep/it:437- 178 niter:167550  871m 0s (- 2115m 32s) completed: 29%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0519  acc: 0.5905  lr: 0.0000 
ep/it:437- 228 niter:167600  871m 15s (- 2115m 14s) completed: 29%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0511  acc: 0.5991  lr: 0.0000 
ep/it:437- 278 niter:167650  871m 29s (- 2114m 55s) completed: 29%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0512  acc: 0.5911  lr: 0.0000 
ep/it:437- 328 niter:167700  871m 44s (- 2114m 37s) completed: 29%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0506  acc: 0.5948  lr: 0.0000 
ep/it:437- 378 niter:167750  871m 58s (- 2114m 18s) completed: 29%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0493  acc: 0.5965  lr: 0.0000 
Validation loss:1.625, accuracy:0.558
ep/it:438-  45 niter:167800  872m 15s (- 2114m 6s) completed: 29%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0493  acc: 0.5951  lr: 0.0000 
ep/it:438-  95 niter:167850  872m 29s (- 2113m 47s) completed: 29%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0502  acc: 0.5968  lr: 0.0000 
ep/it:438- 145 niter:167900  872m 44s (- 2113m 30s) completed: 29%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0508  acc: 0.5997  lr: 0.0000 
ep/it:438- 195 niter:167950  872m 59s (- 2113m 12s) completed: 29%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0536  acc: 0.5908  lr: 0.0000 
ep/it:438- 245 niter:168000  873m 13s (- 2112m 52s) completed: 29%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0506  acc: 0.5975  lr: 0.0000 
ep/it:438- 295 niter:168050  873m 27s (- 2112m 34s) completed: 29%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0502  acc: 0.5964  lr: 0.0000 
ep/it:438- 345 niter:168100  873m 42s (- 2112m 16s) completed: 29%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0513  acc: 0.5990  lr: 0.0000 
Validation loss:1.584, accuracy:0.568
ep/it:439-  12 niter:168150  873m 59s (- 2112m 3s) completed: 29%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0514  acc: 0.6030  lr: 0.0000 
ep/it:439-  62 niter:168200  874m 13s (- 2111m 45s) completed: 29%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0510  acc: 0.5937  lr: 0.0000 
ep/it:439- 112 niter:168250  874m 28s (- 2111m 27s) completed: 29%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0503  acc: 0.5992  lr: 0.0000 
ep/it:439- 162 niter:168300  874m 42s (- 2111m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0513  acc: 0.5967  lr: 0.0000 
ep/it:439- 212 niter:168350  874m 56s (- 2110m 49s) completed: 29%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0519  acc: 0.5995  lr: 0.0000 
ep/it:439- 262 niter:168400  875m 10s (- 2110m 30s) completed: 29%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0531  acc: 0.5951  lr: 0.0000 
ep/it:439- 312 niter:168450  875m 24s (- 2110m 11s) completed: 29%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0503  acc: 0.6043  lr: 0.0000 
ep/it:439- 362 niter:168500  875m 39s (- 2109m 53s) completed: 29%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0501  acc: 0.5936  lr: 0.0000 
Validation loss:1.584, accuracy:0.568

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.81it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.60127291176468 avg: 38.60127291176468
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.54466298036277 avg: 38.57296794606373
--> 	 Eva. Repeat 0 :, FID. 0.1267, Diversity Real. 9.4868, Diversity. 9.7388, R_precision_real. [0.49902344 0.68652344 0.79101562], R_precision. [0.51464844 0.7109375  0.79492188], matching_score_real. 2.9392, matching_score_pred. 2.9600, skate_ratio. 0.0493, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0771 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0139 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0299 
ep/it:440-  29 niter:168550  877m 15s (- 2112m 52s) completed: 29%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0494  acc: 0.5922  lr: 0.0000 
ep/it:440-  79 niter:168600  877m 30s (- 2112m 34s) completed: 29%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0510  acc: 0.5894  lr: 0.0000 
ep/it:440- 129 niter:168650  877m 45s (- 2112m 16s) completed: 29%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0523  acc: 0.6012  lr: 0.0000 
ep/it:440- 179 niter:168700  877m 59s (- 2111m 58s) completed: 29%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0512  acc: 0.5943  lr: 0.0000 
ep/it:440- 229 niter:168750  878m 14s (- 2111m 40s) completed: 29%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0509  acc: 0.5886  lr: 0.0000 
ep/it:440- 279 niter:168800  878m 28s (- 2111m 22s) completed: 29%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0501  acc: 0.5992  lr: 0.0000 
ep/it:440- 329 niter:168850  878m 43s (- 2111m 4s) completed: 29%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0513  acc: 0.5937  lr: 0.0000 
ep/it:440- 379 niter:168900  878m 57s (- 2110m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0509  acc: 0.5955  lr: 0.0000 
Validation loss:1.596, accuracy:0.564
ep/it:441-  46 niter:168950  879m 14s (- 2110m 32s) completed: 29%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0510  acc: 0.5994  lr: 0.0000 
ep/it:441-  96 niter:169000  879m 29s (- 2110m 14s) completed: 29%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0514  acc: 0.5938  lr: 0.0000 
ep/it:441- 146 niter:169050  879m 43s (- 2109m 56s) completed: 29%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0508  acc: 0.5911  lr: 0.0000 
ep/it:441- 196 niter:169100  879m 58s (- 2109m 38s) completed: 29%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0523  acc: 0.5949  lr: 0.0000 
ep/it:441- 246 niter:169150  880m 13s (- 2109m 21s) completed: 29%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0529  acc: 0.5901  lr: 0.0000 
ep/it:441- 296 niter:169200  880m 27s (- 2109m 3s) completed: 29%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0522  acc: 0.5934  lr: 0.0000 
ep/it:441- 346 niter:169250  880m 42s (- 2108m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0522  acc: 0.5907  lr: 0.0000 
Validation loss:1.642, accuracy:0.555
ep/it:442-  13 niter:169300  880m 59s (- 2108m 34s) completed: 29%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0532  acc: 0.6001  lr: 0.0000 
ep/it:442-  63 niter:169350  881m 14s (- 2108m 15s) completed: 29%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0490  acc: 0.6062  lr: 0.0000 
ep/it:442- 113 niter:169400  881m 28s (- 2107m 55s) completed: 29%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0526  acc: 0.5922  lr: 0.0000 
ep/it:442- 163 niter:169450  881m 42s (- 2107m 36s) completed: 29%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0494  acc: 0.5987  lr: 0.0000 
ep/it:442- 213 niter:169500  881m 56s (- 2107m 18s) completed: 29%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0515  acc: 0.6046  lr: 0.0000 
ep/it:442- 263 niter:169550  882m 10s (- 2106m 59s) completed: 29%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0527  acc: 0.5950  lr: 0.0000 
ep/it:442- 313 niter:169600  882m 24s (- 2106m 39s) completed: 29%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0539  acc: 0.5935  lr: 0.0000 
ep/it:442- 363 niter:169650  882m 39s (- 2106m 20s) completed: 29%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0494  acc: 0.6002  lr: 0.0000 
Validation loss:1.614, accuracy:0.560
ep/it:443-  30 niter:169700  882m 55s (- 2106m 7s) completed: 29%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0514  acc: 0.5898  lr: 0.0000 
ep/it:443-  80 niter:169750  883m 9s (- 2105m 48s) completed: 29%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0498  acc: 0.5888  lr: 0.0000 
ep/it:443- 130 niter:169800  883m 24s (- 2105m 29s) completed: 29%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0511  acc: 0.5925  lr: 0.0000 
ep/it:443- 180 niter:169850  883m 38s (- 2105m 10s) completed: 29%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0530  acc: 0.6053  lr: 0.0000 
ep/it:443- 230 niter:169900  883m 52s (- 2104m 51s) completed: 29%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0510  acc: 0.5951  lr: 0.0000 
ep/it:443- 280 niter:169950  884m 7s (- 2104m 33s) completed: 29%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0532  acc: 0.5896  lr: 0.0000 
ep/it:443- 330 niter:170000  884m 21s (- 2104m 15s) completed: 29%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0516  acc: 0.5947  lr: 0.0000 
ep/it:443- 380 niter:170050  884m 36s (- 2103m 57s) completed: 29%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0516  acc: 0.5953  lr: 0.0000 
Validation loss:1.594, accuracy:0.566
ep/it:444-  47 niter:170100  884m 53s (- 2103m 45s) completed: 29%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0523  acc: 0.5932  lr: 0.0000 
ep/it:444-  97 niter:170150  885m 7s (- 2103m 26s) completed: 29%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0498  acc: 0.5983  lr: 0.0000 
ep/it:444- 147 niter:170200  885m 21s (- 2103m 7s) completed: 29%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0523  acc: 0.5953  lr: 0.0000 
ep/it:444- 197 niter:170250  885m 35s (- 2102m 47s) completed: 29%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0494  acc: 0.5985  lr: 0.0000 
ep/it:444- 247 niter:170300  885m 50s (- 2102m 29s) completed: 29%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0531  acc: 0.5955  lr: 0.0000 
ep/it:444- 297 niter:170350  886m 4s (- 2102m 10s) completed: 29%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0509  acc: 0.5948  lr: 0.0000 
ep/it:444- 347 niter:170400  886m 18s (- 2101m 51s) completed: 29%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0530  acc: 0.5987  lr: 0.0000 
Validation loss:1.618, accuracy:0.559
ep/it:445-  14 niter:170450  886m 35s (- 2101m 38s) completed: 29%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0530  acc: 0.5945  lr: 0.0000 
ep/it:445-  64 niter:170500  886m 49s (- 2101m 19s) completed: 29%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0539  acc: 0.5947  lr: 0.0000 
ep/it:445- 114 niter:170550  887m 3s (- 2101m 1s) completed: 29%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0508  acc: 0.6002  lr: 0.0000 
ep/it:445- 164 niter:170600  887m 18s (- 2100m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0525  acc: 0.5932  lr: 0.0000 
ep/it:445- 214 niter:170650  887m 32s (- 2100m 24s) completed: 29%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0506  acc: 0.5967  lr: 0.0000 
ep/it:445- 264 niter:170700  887m 47s (- 2100m 7s) completed: 29%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0510  acc: 0.6018  lr: 0.0000 
ep/it:445- 314 niter:170750  888m 1s (- 2099m 48s) completed: 29%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0497  acc: 0.5950  lr: 0.0000 
ep/it:445- 364 niter:170800  888m 16s (- 2099m 29s) completed: 29%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0518  acc: 0.5947  lr: 0.0000 
Validation loss:1.613, accuracy:0.562
ep/it:446-  31 niter:170850  888m 33s (- 2099m 18s) completed: 29%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0511  acc: 0.5854  lr: 0.0000 
ep/it:446-  81 niter:170900  888m 48s (- 2099m 0s) completed: 29%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0503  acc: 0.6000  lr: 0.0000 
ep/it:446- 131 niter:170950  889m 2s (- 2098m 41s) completed: 29%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0520  acc: 0.6006  lr: 0.0000 
ep/it:446- 181 niter:171000  889m 17s (- 2098m 24s) completed: 29%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0508  acc: 0.5978  lr: 0.0000 
ep/it:446- 231 niter:171050  889m 31s (- 2098m 6s) completed: 29%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0512  acc: 0.5892  lr: 0.0000 
ep/it:446- 281 niter:171100  889m 46s (- 2097m 48s) completed: 29%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0518  acc: 0.5964  lr: 0.0000 
ep/it:446- 331 niter:171150  890m 1s (- 2097m 30s) completed: 29%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0502  acc: 0.6047  lr: 0.0000 
ep/it:446- 381 niter:171200  890m 15s (- 2097m 11s) completed: 29%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0508  acc: 0.5975  lr: 0.0000 
Validation loss:1.622, accuracy:0.560
ep/it:447-  48 niter:171250  890m 32s (- 2096m 59s) completed: 29%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0511  acc: 0.6082  lr: 0.0000 
ep/it:447-  98 niter:171300  890m 46s (- 2096m 41s) completed: 29%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0506  acc: 0.5980  lr: 0.0000 
ep/it:447- 148 niter:171350  891m 1s (- 2096m 23s) completed: 29%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0502  acc: 0.5892  lr: 0.0000 
ep/it:447- 198 niter:171400  891m 15s (- 2096m 4s) completed: 29%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0496  acc: 0.5926  lr: 0.0000 
ep/it:447- 248 niter:171450  891m 29s (- 2095m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0503  acc: 0.5930  lr: 0.0000 
ep/it:447- 298 niter:171500  891m 43s (- 2095m 25s) completed: 29%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0514  acc: 0.5961  lr: 0.0000 
ep/it:447- 348 niter:171550  891m 58s (- 2095m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0520  acc: 0.6034  lr: 0.0000 
Validation loss:1.621, accuracy:0.559
ep/it:448-  15 niter:171600  892m 15s (- 2094m 55s) completed: 29%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0512  acc: 0.5963  lr: 0.0000 
ep/it:448-  65 niter:171650  892m 29s (- 2094m 36s) completed: 29%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0503  acc: 0.6008  lr: 0.0000 
ep/it:448- 115 niter:171700  892m 43s (- 2094m 17s) completed: 29%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0503  acc: 0.5986  lr: 0.0000 
ep/it:448- 165 niter:171750  892m 57s (- 2093m 58s) completed: 29%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0518  acc: 0.5921  lr: 0.0000 
ep/it:448- 215 niter:171800  893m 11s (- 2093m 39s) completed: 29%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0524  acc: 0.5936  lr: 0.0000 
ep/it:448- 265 niter:171850  893m 25s (- 2093m 20s) completed: 29%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0496  acc: 0.6024  lr: 0.0000 
ep/it:448- 315 niter:171900  893m 40s (- 2093m 1s) completed: 29%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0497  acc: 0.5950  lr: 0.0000 
ep/it:448- 365 niter:171950  893m 54s (- 2092m 43s) completed: 29%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0510  acc: 0.6002  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:449-  32 niter:172000  894m 11s (- 2092m 31s) completed: 29%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0495  acc: 0.5971  lr: 0.0000 
ep/it:449-  82 niter:172050  894m 26s (- 2092m 13s) completed: 29%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0494  acc: 0.5953  lr: 0.0000 
ep/it:449- 132 niter:172100  894m 40s (- 2091m 55s) completed: 29%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0511  acc: 0.5988  lr: 0.0000 
ep/it:449- 182 niter:172150  894m 55s (- 2091m 38s) completed: 29%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0519  acc: 0.5925  lr: 0.0000 
ep/it:449- 232 niter:172200  895m 10s (- 2091m 19s) completed: 29%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0506  acc: 0.5935  lr: 0.0000 
ep/it:449- 282 niter:172250  895m 24s (- 2091m 1s) completed: 29%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0514  acc: 0.5968  lr: 0.0000 
ep/it:449- 332 niter:172300  895m 39s (- 2090m 43s) completed: 29%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0508  acc: 0.5988  lr: 0.0000 
ep/it:449- 382 niter:172350  895m 53s (- 2090m 24s) completed: 30%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0499  acc: 0.5989  lr: 0.0000 
Validation loss:1.659, accuracy:0.549

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.62it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.47525966260582 avg: 38.47525966260582
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.70914244372398 avg: 38.5922010531649
--> 	 Eva. Repeat 0 :, FID. 0.0903, Diversity Real. 9.3077, Diversity. 9.4347, R_precision_real. [0.51953125 0.6953125  0.78125   ], R_precision. [0.50292969 0.67773438 0.78027344], matching_score_real. 2.9695, matching_score_pred. 3.0036, skate_ratio. 0.0471, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0596 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0126 (kps_fail_50cm (Loc. err)): 0.0008 (kps_mean_err(m) (Avg. err)): 0.0293 
ep/it:450-  49 niter:172400  897m 29s (- 2093m 15s) completed: 30%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0525  acc: 0.5935  lr: 0.0000 
ep/it:450-  99 niter:172450  897m 43s (- 2092m 56s) completed: 30%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0507  acc: 0.6004  lr: 0.0000 
ep/it:450- 149 niter:172500  897m 57s (- 2092m 38s) completed: 30%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0513  acc: 0.5974  lr: 0.0000 
ep/it:450- 199 niter:172550  898m 12s (- 2092m 20s) completed: 30%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0484  acc: 0.5978  lr: 0.0000 
ep/it:450- 249 niter:172600  898m 26s (- 2092m 1s) completed: 30%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0511  acc: 0.5981  lr: 0.0000 
ep/it:450- 299 niter:172650  898m 40s (- 2091m 42s) completed: 30%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0508  acc: 0.6024  lr: 0.0000 
ep/it:450- 349 niter:172700  898m 55s (- 2091m 24s) completed: 30%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0515  acc: 0.5952  lr: 0.0000 
Validation loss:1.594, accuracy:0.566
ep/it:451-  16 niter:172750  899m 12s (- 2091m 11s) completed: 30%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0501  acc: 0.5919  lr: 0.0000 
ep/it:451-  66 niter:172800  899m 26s (- 2090m 53s) completed: 30%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0507  acc: 0.5947  lr: 0.0000 
ep/it:451- 116 niter:172850  899m 40s (- 2090m 33s) completed: 30%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0523  acc: 0.5981  lr: 0.0000 
ep/it:451- 166 niter:172900  899m 54s (- 2090m 14s) completed: 30%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0505  acc: 0.5903  lr: 0.0000 
ep/it:451- 216 niter:172950  900m 8s (- 2089m 56s) completed: 30%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0507  acc: 0.5917  lr: 0.0000 
ep/it:451- 266 niter:173000  900m 23s (- 2089m 37s) completed: 30%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0496  acc: 0.5963  lr: 0.0000 
ep/it:451- 316 niter:173050  900m 37s (- 2089m 19s) completed: 30%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0495  acc: 0.5970  lr: 0.0000 
ep/it:451- 366 niter:173100  900m 51s (- 2089m 0s) completed: 30%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0496  acc: 0.6040  lr: 0.0000 
Validation loss:1.589, accuracy:0.569
ep/it:452-  33 niter:173150  901m 8s (- 2088m 47s) completed: 30%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0521  acc: 0.5930  lr: 0.0000 
ep/it:452-  83 niter:173200  901m 23s (- 2088m 29s) completed: 30%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0486  acc: 0.5989  lr: 0.0000 
ep/it:452- 133 niter:173250  901m 37s (- 2088m 11s) completed: 30%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0501  acc: 0.5977  lr: 0.0000 
ep/it:452- 183 niter:173300  901m 52s (- 2087m 52s) completed: 30%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0510  acc: 0.5970  lr: 0.0000 
ep/it:452- 233 niter:173350  902m 6s (- 2087m 33s) completed: 30%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0522  acc: 0.5944  lr: 0.0000 
ep/it:452- 283 niter:173400  902m 20s (- 2087m 14s) completed: 30%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0510  acc: 0.5962  lr: 0.0000 
ep/it:452- 333 niter:173450  902m 34s (- 2086m 55s) completed: 30%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0517  acc: 0.5950  lr: 0.0000 
Validation loss:1.616, accuracy:0.559
ep/it:453-   0 niter:173500  902m 52s (- 2086m 44s) completed: 30%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0499  acc: 0.5936  lr: 0.0000 
ep/it:453-  50 niter:173550  903m 7s (- 2086m 27s) completed: 30%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0518  acc: 0.5972  lr: 0.0000 
ep/it:453- 100 niter:173600  903m 21s (- 2086m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0494  acc: 0.6005  lr: 0.0000 
ep/it:453- 150 niter:173650  903m 36s (- 2085m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0518  acc: 0.5952  lr: 0.0000 
ep/it:453- 200 niter:173700  903m 50s (- 2085m 32s) completed: 30%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0494  acc: 0.5928  lr: 0.0000 
ep/it:453- 250 niter:173750  904m 4s (- 2085m 14s) completed: 30%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0515  acc: 0.5940  lr: 0.0000 
ep/it:453- 300 niter:173800  904m 19s (- 2084m 56s) completed: 30%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0518  acc: 0.6001  lr: 0.0000 
ep/it:453- 350 niter:173850  904m 34s (- 2084m 39s) completed: 30%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0502  acc: 0.5970  lr: 0.0000 
Validation loss:1.570, accuracy:0.569
ep/it:454-  17 niter:173900  904m 51s (- 2084m 28s) completed: 30%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0509  acc: 0.6002  lr: 0.0000 
ep/it:454-  67 niter:173950  905m 6s (- 2084m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0488  acc: 0.5986  lr: 0.0000 
ep/it:454- 117 niter:174000  905m 20s (- 2083m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0513  acc: 0.5963  lr: 0.0000 
ep/it:454- 167 niter:174050  905m 35s (- 2083m 34s) completed: 30%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0501  acc: 0.5999  lr: 0.0000 
ep/it:454- 217 niter:174100  905m 50s (- 2083m 16s) completed: 30%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0495  acc: 0.6031  lr: 0.0000 
ep/it:454- 267 niter:174150  906m 4s (- 2082m 57s) completed: 30%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0503  acc: 0.5975  lr: 0.0000 
ep/it:454- 317 niter:174200  906m 19s (- 2082m 39s) completed: 30%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0510  acc: 0.5865  lr: 0.0000 
ep/it:454- 367 niter:174250  906m 33s (- 2082m 21s) completed: 30%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0481  acc: 0.6000  lr: 0.0000 
Validation loss:1.606, accuracy:0.561
ep/it:455-  34 niter:174300  906m 50s (- 2082m 7s) completed: 30%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0482  acc: 0.6044  lr: 0.0000 
ep/it:455-  84 niter:174350  907m 4s (- 2081m 48s) completed: 30%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0504  acc: 0.6029  lr: 0.0000 
ep/it:455- 134 niter:174400  907m 18s (- 2081m 29s) completed: 30%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0512  acc: 0.5964  lr: 0.0000 
ep/it:455- 184 niter:174450  907m 32s (- 2081m 10s) completed: 30%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0494  acc: 0.5948  lr: 0.0000 
ep/it:455- 234 niter:174500  907m 46s (- 2080m 52s) completed: 30%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0490  acc: 0.5926  lr: 0.0000 
ep/it:455- 284 niter:174550  908m 1s (- 2080m 34s) completed: 30%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0514  acc: 0.5890  lr: 0.0000 
ep/it:455- 334 niter:174600  908m 15s (- 2080m 15s) completed: 30%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0500  acc: 0.6024  lr: 0.0000 
Validation loss:1.555, accuracy:0.576
ep/it:456-   1 niter:174650  908m 32s (- 2080m 3s) completed: 30%) loss_emb: 0.0000  loss: 1.4352  loss_TTT: 0.0507  acc: 0.5890  lr: 0.0000 
ep/it:456-  51 niter:174700  908m 47s (- 2079m 45s) completed: 30%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0495  acc: 0.5975  lr: 0.0000 
ep/it:456- 101 niter:174750  909m 1s (- 2079m 27s) completed: 30%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0513  acc: 0.5935  lr: 0.0000 
ep/it:456- 151 niter:174800  909m 16s (- 2079m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0504  acc: 0.5919  lr: 0.0000 
ep/it:456- 201 niter:174850  909m 30s (- 2078m 50s) completed: 30%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0514  acc: 0.6027  lr: 0.0000 
ep/it:456- 251 niter:174900  909m 44s (- 2078m 31s) completed: 30%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0494  acc: 0.5979  lr: 0.0000 
ep/it:456- 301 niter:174950  909m 59s (- 2078m 13s) completed: 30%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0498  acc: 0.5985  lr: 0.0000 
ep/it:456- 351 niter:175000  910m 13s (- 2077m 54s) completed: 30%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0499  acc: 0.5980  lr: 0.0000 
Validation loss:1.603, accuracy:0.564
ep/it:457-  18 niter:175050  910m 30s (- 2077m 42s) completed: 30%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0507  acc: 0.6004  lr: 0.0000 
ep/it:457-  68 niter:175100  910m 45s (- 2077m 24s) completed: 30%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0509  acc: 0.5947  lr: 0.0000 
ep/it:457- 118 niter:175150  910m 59s (- 2077m 5s) completed: 30%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0511  acc: 0.5962  lr: 0.0000 
ep/it:457- 168 niter:175200  911m 13s (- 2076m 47s) completed: 30%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0504  acc: 0.5992  lr: 0.0000 
ep/it:457- 218 niter:175250  911m 27s (- 2076m 27s) completed: 30%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0500  acc: 0.5979  lr: 0.0000 
ep/it:457- 268 niter:175300  911m 42s (- 2076m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0498  acc: 0.6005  lr: 0.0000 
ep/it:457- 318 niter:175350  911m 56s (- 2075m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0504  acc: 0.5982  lr: 0.0000 
ep/it:457- 368 niter:175400  912m 10s (- 2075m 31s) completed: 30%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0509  acc: 0.5961  lr: 0.0000 
Validation loss:1.648, accuracy:0.550
ep/it:458-  35 niter:175450  912m 27s (- 2075m 20s) completed: 30%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0502  acc: 0.6020  lr: 0.0000 
ep/it:458-  85 niter:175500  912m 42s (- 2075m 2s) completed: 30%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0498  acc: 0.6016  lr: 0.0000 
ep/it:458- 135 niter:175550  912m 56s (- 2074m 44s) completed: 30%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0523  acc: 0.5928  lr: 0.0000 
ep/it:458- 185 niter:175600  913m 11s (- 2074m 26s) completed: 30%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0489  acc: 0.6001  lr: 0.0000 
ep/it:458- 235 niter:175650  913m 26s (- 2074m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0529  acc: 0.5974  lr: 0.0000 
ep/it:458- 285 niter:175700  913m 40s (- 2073m 50s) completed: 30%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0495  acc: 0.6019  lr: 0.0000 
ep/it:458- 335 niter:175750  913m 54s (- 2073m 32s) completed: 30%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0520  acc: 0.6041  lr: 0.0000 
Validation loss:1.629, accuracy:0.557
ep/it:459-   2 niter:175800  914m 11s (- 2073m 19s) completed: 30%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0502  acc: 0.5970  lr: 0.0000 
ep/it:459-  52 niter:175850  914m 26s (- 2073m 1s) completed: 30%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0499  acc: 0.5956  lr: 0.0000 
ep/it:459- 102 niter:175900  914m 41s (- 2072m 43s) completed: 30%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0499  acc: 0.6007  lr: 0.0000 
ep/it:459- 152 niter:175950  914m 55s (- 2072m 25s) completed: 30%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0501  acc: 0.5969  lr: 0.0000 
ep/it:459- 202 niter:176000  915m 10s (- 2072m 8s) completed: 30%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0496  acc: 0.5889  lr: 0.0000 
ep/it:459- 252 niter:176050  915m 25s (- 2071m 50s) completed: 30%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0511  acc: 0.5902  lr: 0.0000 
ep/it:459- 302 niter:176100  915m 39s (- 2071m 33s) completed: 30%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0478  acc: 0.5973  lr: 0.0000 
ep/it:459- 352 niter:176150  915m 53s (- 2071m 13s) completed: 30%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0512  acc: 0.5981  lr: 0.0000 
Validation loss:1.548, accuracy:0.574

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.60it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.39753907453269 avg: 38.39753907453269
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.61973825469613 avg: 38.50863866461441
--> 	 Eva. Repeat 0 :, FID. 0.1031, Diversity Real. 9.2897, Diversity. 9.4669, R_precision_real. [0.49609375 0.67773438 0.7734375 ], R_precision. [0.52050781 0.71289062 0.79101562], matching_score_real. 2.9844, matching_score_pred. 2.9547, skate_ratio. 0.0502, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0742 (traj_fail_50cm (Traj err)): 0.0117 (kps_fail_20cm): 0.0141 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0291 
ep/it:460-  19 niter:176200  917m 29s (- 2073m 58s) completed: 30%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0512  acc: 0.5938  lr: 0.0000 
ep/it:460-  69 niter:176250  917m 43s (- 2073m 40s) completed: 30%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0487  acc: 0.6019  lr: 0.0000 
ep/it:460- 119 niter:176300  917m 57s (- 2073m 21s) completed: 30%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0517  acc: 0.5942  lr: 0.0000 
ep/it:460- 169 niter:176350  918m 12s (- 2073m 3s) completed: 30%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0530  acc: 0.5914  lr: 0.0000 
ep/it:460- 219 niter:176400  918m 26s (- 2072m 45s) completed: 30%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0506  acc: 0.5966  lr: 0.0000 
ep/it:460- 269 niter:176450  918m 41s (- 2072m 27s) completed: 30%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0482  acc: 0.5978  lr: 0.0000 
ep/it:460- 319 niter:176500  918m 56s (- 2072m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0520  acc: 0.5954  lr: 0.0000 
ep/it:460- 369 niter:176550  919m 11s (- 2071m 52s) completed: 30%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0486  acc: 0.5941  lr: 0.0000 
Validation loss:1.630, accuracy:0.558
ep/it:461-  36 niter:176600  919m 28s (- 2071m 40s) completed: 30%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0516  acc: 0.5999  lr: 0.0000 
ep/it:461-  86 niter:176650  919m 42s (- 2071m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0519  acc: 0.5929  lr: 0.0000 
ep/it:461- 136 niter:176700  919m 57s (- 2071m 4s) completed: 30%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0528  acc: 0.5956  lr: 0.0000 
ep/it:461- 186 niter:176750  920m 11s (- 2070m 46s) completed: 30%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0507  acc: 0.5928  lr: 0.0000 
ep/it:461- 236 niter:176800  920m 26s (- 2070m 27s) completed: 30%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0504  acc: 0.5996  lr: 0.0000 
ep/it:461- 286 niter:176850  920m 41s (- 2070m 10s) completed: 30%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0486  acc: 0.5972  lr: 0.0000 
ep/it:461- 336 niter:176900  920m 55s (- 2069m 52s) completed: 30%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0488  acc: 0.5966  lr: 0.0000 
Validation loss:1.557, accuracy:0.574
ep/it:462-   3 niter:176950  921m 12s (- 2069m 40s) completed: 30%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0502  acc: 0.6036  lr: 0.0000 
ep/it:462-  53 niter:177000  921m 27s (- 2069m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0497  acc: 0.5997  lr: 0.0000 
ep/it:462- 103 niter:177050  921m 42s (- 2069m 5s) completed: 30%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0505  acc: 0.5924  lr: 0.0000 
ep/it:462- 153 niter:177100  921m 57s (- 2068m 48s) completed: 30%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0494  acc: 0.5990  lr: 0.0000 
ep/it:462- 203 niter:177150  922m 12s (- 2068m 30s) completed: 30%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0519  acc: 0.5924  lr: 0.0000 
ep/it:462- 253 niter:177200  922m 26s (- 2068m 13s) completed: 30%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0513  acc: 0.5955  lr: 0.0000 
ep/it:462- 303 niter:177250  922m 41s (- 2067m 54s) completed: 30%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0517  acc: 0.5998  lr: 0.0000 
ep/it:462- 353 niter:177300  922m 56s (- 2067m 37s) completed: 30%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0501  acc: 0.5947  lr: 0.0000 
Validation loss:1.638, accuracy:0.554
ep/it:463-  20 niter:177350  923m 13s (- 2067m 26s) completed: 30%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0515  acc: 0.5975  lr: 0.0000 
ep/it:463-  70 niter:177400  923m 28s (- 2067m 8s) completed: 30%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0497  acc: 0.5930  lr: 0.0000 
ep/it:463- 120 niter:177450  923m 42s (- 2066m 49s) completed: 30%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0524  acc: 0.5943  lr: 0.0000 
ep/it:463- 170 niter:177500  923m 56s (- 2066m 31s) completed: 30%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0500  acc: 0.5989  lr: 0.0000 
ep/it:463- 220 niter:177550  924m 12s (- 2066m 14s) completed: 30%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0491  acc: 0.5945  lr: 0.0000 
ep/it:463- 270 niter:177600  924m 26s (- 2065m 55s) completed: 30%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0503  acc: 0.6000  lr: 0.0000 
ep/it:463- 320 niter:177650  924m 40s (- 2065m 37s) completed: 30%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0506  acc: 0.5952  lr: 0.0000 
ep/it:463- 370 niter:177700  924m 55s (- 2065m 20s) completed: 30%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0491  acc: 0.5984  lr: 0.0000 
Validation loss:1.575, accuracy:0.570
ep/it:464-  37 niter:177750  925m 12s (- 2065m 7s) completed: 30%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0515  acc: 0.5993  lr: 0.0000 
ep/it:464-  87 niter:177800  925m 26s (- 2064m 49s) completed: 30%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0486  acc: 0.5958  lr: 0.0000 
ep/it:464- 137 niter:177850  925m 41s (- 2064m 32s) completed: 30%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0505  acc: 0.6007  lr: 0.0000 
ep/it:464- 187 niter:177900  925m 55s (- 2064m 13s) completed: 30%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0511  acc: 0.5984  lr: 0.0000 
ep/it:464- 237 niter:177950  926m 10s (- 2063m 55s) completed: 30%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0515  acc: 0.5979  lr: 0.0000 
ep/it:464- 287 niter:178000  926m 24s (- 2063m 36s) completed: 30%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0501  acc: 0.6000  lr: 0.0000 
ep/it:464- 337 niter:178050  926m 39s (- 2063m 18s) completed: 30%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0496  acc: 0.5985  lr: 0.0000 
Validation loss:1.635, accuracy:0.556
ep/it:465-   4 niter:178100  926m 55s (- 2063m 5s) completed: 31%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0518  acc: 0.6008  lr: 0.0000 
ep/it:465-  54 niter:178150  927m 10s (- 2062m 48s) completed: 31%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0497  acc: 0.5978  lr: 0.0000 
ep/it:465- 104 niter:178200  927m 25s (- 2062m 29s) completed: 31%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0503  acc: 0.6019  lr: 0.0000 
ep/it:465- 154 niter:178250  927m 39s (- 2062m 11s) completed: 31%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0493  acc: 0.5964  lr: 0.0000 
ep/it:465- 204 niter:178300  927m 54s (- 2061m 53s) completed: 31%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0509  acc: 0.6040  lr: 0.0000 
ep/it:465- 254 niter:178350  928m 8s (- 2061m 35s) completed: 31%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0499  acc: 0.5951  lr: 0.0000 
ep/it:465- 304 niter:178400  928m 23s (- 2061m 17s) completed: 31%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0506  acc: 0.5982  lr: 0.0000 
ep/it:465- 354 niter:178450  928m 37s (- 2060m 59s) completed: 31%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0489  acc: 0.5992  lr: 0.0000 
Validation loss:1.592, accuracy:0.566
ep/it:466-  21 niter:178500  928m 54s (- 2060m 47s) completed: 31%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0493  acc: 0.5969  lr: 0.0000 
ep/it:466-  71 niter:178550  929m 9s (- 2060m 29s) completed: 31%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0503  acc: 0.5920  lr: 0.0000 
ep/it:466- 121 niter:178600  929m 24s (- 2060m 12s) completed: 31%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0501  acc: 0.5936  lr: 0.0000 
ep/it:466- 171 niter:178650  929m 39s (- 2059m 54s) completed: 31%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0499  acc: 0.5960  lr: 0.0000 
ep/it:466- 221 niter:178700  929m 53s (- 2059m 35s) completed: 31%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0511  acc: 0.5950  lr: 0.0000 
ep/it:466- 271 niter:178750  930m 7s (- 2059m 17s) completed: 31%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0490  acc: 0.5938  lr: 0.0000 
ep/it:466- 321 niter:178800  930m 22s (- 2059m 0s) completed: 31%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0501  acc: 0.5961  lr: 0.0000 
ep/it:466- 371 niter:178850  930m 37s (- 2058m 42s) completed: 31%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0498  acc: 0.6027  lr: 0.0000 
Validation loss:1.616, accuracy:0.561
ep/it:467-  38 niter:178900  930m 54s (- 2058m 30s) completed: 31%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0491  acc: 0.6059  lr: 0.0000 
ep/it:467-  88 niter:178950  931m 9s (- 2058m 13s) completed: 31%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0511  acc: 0.5977  lr: 0.0000 
ep/it:467- 138 niter:179000  931m 24s (- 2057m 55s) completed: 31%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0494  acc: 0.5957  lr: 0.0000 
ep/it:467- 188 niter:179050  931m 39s (- 2057m 38s) completed: 31%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0522  acc: 0.5974  lr: 0.0000 
ep/it:467- 238 niter:179100  931m 53s (- 2057m 20s) completed: 31%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0489  acc: 0.5937  lr: 0.0000 
ep/it:467- 288 niter:179150  932m 7s (- 2057m 2s) completed: 31%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0491  acc: 0.6002  lr: 0.0000 
ep/it:467- 338 niter:179200  932m 21s (- 2056m 43s) completed: 31%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0518  acc: 0.5970  lr: 0.0000 
Validation loss:1.615, accuracy:0.558
ep/it:468-   5 niter:179250  932m 38s (- 2056m 30s) completed: 31%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0498  acc: 0.6009  lr: 0.0000 
ep/it:468-  55 niter:179300  932m 53s (- 2056m 12s) completed: 31%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0515  acc: 0.5912  lr: 0.0000 
ep/it:468- 105 niter:179350  933m 7s (- 2055m 54s) completed: 31%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0491  acc: 0.6027  lr: 0.0000 
ep/it:468- 155 niter:179400  933m 22s (- 2055m 36s) completed: 31%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0507  acc: 0.5944  lr: 0.0000 
ep/it:468- 205 niter:179450  933m 36s (- 2055m 18s) completed: 31%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0509  acc: 0.5955  lr: 0.0000 
ep/it:468- 255 niter:179500  933m 50s (- 2054m 58s) completed: 31%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0497  acc: 0.5936  lr: 0.0000 
ep/it:468- 305 niter:179550  934m 5s (- 2054m 41s) completed: 31%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0501  acc: 0.5946  lr: 0.0000 
ep/it:468- 355 niter:179600  934m 20s (- 2054m 23s) completed: 31%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0494  acc: 0.6029  lr: 0.0000 
Validation loss:1.591, accuracy:0.565
ep/it:469-  22 niter:179650  934m 37s (- 2054m 11s) completed: 31%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0499  acc: 0.6018  lr: 0.0000 
ep/it:469-  72 niter:179700  934m 52s (- 2053m 54s) completed: 31%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0497  acc: 0.5963  lr: 0.0000 
ep/it:469- 122 niter:179750  935m 7s (- 2053m 37s) completed: 31%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0497  acc: 0.6018  lr: 0.0000 
ep/it:469- 172 niter:179800  935m 21s (- 2053m 19s) completed: 31%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0513  acc: 0.5941  lr: 0.0000 
ep/it:469- 222 niter:179850  935m 36s (- 2053m 1s) completed: 31%) loss_emb: 0.0000  loss: 1.4453  loss_TTT: 0.0503  acc: 0.5852  lr: 0.0000 
ep/it:469- 272 niter:179900  935m 50s (- 2052m 43s) completed: 31%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0496  acc: 0.6001  lr: 0.0000 
ep/it:469- 322 niter:179950  936m 5s (- 2052m 25s) completed: 31%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0496  acc: 0.5912  lr: 0.0000 
ep/it:469- 372 niter:180000  936m 19s (- 2052m 7s) completed: 31%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0498  acc: 0.5941  lr: 0.0000 
Validation loss:1.588, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:13,  3.40it/s]
 34%|███▍      | 16/47 [00:40<01:19,  2.55s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.70452423393726 avg: 39.70452423393726
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.36835712753236 avg: 39.03644068073481
--> 	 Eva. Repeat 0 :, FID. 0.1098, Diversity Real. 9.5069, Diversity. 9.5552, R_precision_real. [0.51171875 0.69628906 0.80566406], R_precision. [0.52441406 0.71191406 0.80371094], matching_score_real. 2.9503, matching_score_pred. 2.9450, skate_ratio. 0.0514, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0674 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0129 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0301 
ep/it:470-  39 niter:180050  937m 56s (- 2054m 49s) completed: 31%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0507  acc: 0.5992  lr: 0.0000 
ep/it:470-  89 niter:180100  938m 10s (- 2054m 30s) completed: 31%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0500  acc: 0.5938  lr: 0.0000 
ep/it:470- 139 niter:180150  938m 24s (- 2054m 12s) completed: 31%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0495  acc: 0.5971  lr: 0.0000 
ep/it:470- 189 niter:180200  938m 39s (- 2053m 53s) completed: 31%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0502  acc: 0.5946  lr: 0.0000 
ep/it:470- 239 niter:180250  938m 53s (- 2053m 35s) completed: 31%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0516  acc: 0.5945  lr: 0.0000 
ep/it:470- 289 niter:180300  939m 7s (- 2053m 16s) completed: 31%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0497  acc: 0.6021  lr: 0.0000 
ep/it:470- 339 niter:180350  939m 22s (- 2052m 58s) completed: 31%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0510  acc: 0.5966  lr: 0.0000 
Validation loss:1.584, accuracy:0.567
ep/it:471-   6 niter:180400  939m 39s (- 2052m 45s) completed: 31%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0527  acc: 0.5926  lr: 0.0000 
ep/it:471-  56 niter:180450  939m 53s (- 2052m 26s) completed: 31%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0485  acc: 0.5964  lr: 0.0000 
ep/it:471- 106 niter:180500  940m 7s (- 2052m 7s) completed: 31%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0515  acc: 0.5938  lr: 0.0000 
ep/it:471- 156 niter:180550  940m 22s (- 2051m 50s) completed: 31%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0493  acc: 0.5983  lr: 0.0000 
ep/it:471- 206 niter:180600  940m 36s (- 2051m 31s) completed: 31%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0508  acc: 0.5951  lr: 0.0000 
ep/it:471- 256 niter:180650  940m 50s (- 2051m 13s) completed: 31%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0492  acc: 0.6037  lr: 0.0000 
ep/it:471- 306 niter:180700  941m 5s (- 2050m 54s) completed: 31%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0503  acc: 0.6064  lr: 0.0000 
ep/it:471- 356 niter:180750  941m 19s (- 2050m 35s) completed: 31%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0524  acc: 0.5918  lr: 0.0000 
Validation loss:1.566, accuracy:0.572
ep/it:472-  23 niter:180800  941m 36s (- 2050m 23s) completed: 31%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0492  acc: 0.5876  lr: 0.0000 
ep/it:472-  73 niter:180850  941m 50s (- 2050m 5s) completed: 31%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0493  acc: 0.6020  lr: 0.0000 
ep/it:472- 123 niter:180900  942m 4s (- 2049m 46s) completed: 31%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0498  acc: 0.5976  lr: 0.0000 
ep/it:472- 173 niter:180950  942m 19s (- 2049m 27s) completed: 31%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0500  acc: 0.5931  lr: 0.0000 
ep/it:472- 223 niter:181000  942m 33s (- 2049m 9s) completed: 31%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0489  acc: 0.5923  lr: 0.0000 
ep/it:472- 273 niter:181050  942m 48s (- 2048m 51s) completed: 31%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0533  acc: 0.5911  lr: 0.0000 
ep/it:472- 323 niter:181100  943m 2s (- 2048m 32s) completed: 31%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0499  acc: 0.5966  lr: 0.0000 
ep/it:472- 373 niter:181150  943m 16s (- 2048m 14s) completed: 31%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0494  acc: 0.6029  lr: 0.0000 
Validation loss:1.592, accuracy:0.565
ep/it:473-  40 niter:181200  943m 33s (- 2048m 2s) completed: 31%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0513  acc: 0.5933  lr: 0.0000 
ep/it:473-  90 niter:181250  943m 47s (- 2047m 43s) completed: 31%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0504  acc: 0.5963  lr: 0.0000 
ep/it:473- 140 niter:181300  944m 2s (- 2047m 25s) completed: 31%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0524  acc: 0.5918  lr: 0.0000 
ep/it:473- 190 niter:181350  944m 17s (- 2047m 7s) completed: 31%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0506  acc: 0.5991  lr: 0.0000 
ep/it:473- 240 niter:181400  944m 31s (- 2046m 49s) completed: 31%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0502  acc: 0.5999  lr: 0.0000 
ep/it:473- 290 niter:181450  944m 46s (- 2046m 31s) completed: 31%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0492  acc: 0.5902  lr: 0.0000 
ep/it:473- 340 niter:181500  945m 0s (- 2046m 12s) completed: 31%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0519  acc: 0.5966  lr: 0.0000 
Validation loss:1.597, accuracy:0.562
ep/it:474-   7 niter:181550  945m 17s (- 2046m 0s) completed: 31%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0481  acc: 0.5986  lr: 0.0000 
ep/it:474-  57 niter:181600  945m 31s (- 2045m 41s) completed: 31%) loss_emb: 0.0000  loss: 1.4442  loss_TTT: 0.0521  acc: 0.5852  lr: 0.0000 
ep/it:474- 107 niter:181650  945m 46s (- 2045m 23s) completed: 31%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0524  acc: 0.5940  lr: 0.0000 
ep/it:474- 157 niter:181700  946m 0s (- 2045m 5s) completed: 31%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0496  acc: 0.5956  lr: 0.0000 
ep/it:474- 207 niter:181750  946m 14s (- 2044m 46s) completed: 31%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0493  acc: 0.5957  lr: 0.0000 
ep/it:474- 257 niter:181800  946m 29s (- 2044m 28s) completed: 31%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0505  acc: 0.5896  lr: 0.0000 
ep/it:474- 307 niter:181850  946m 42s (- 2044m 8s) completed: 31%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0496  acc: 0.5978  lr: 0.0000 
ep/it:474- 357 niter:181900  946m 57s (- 2043m 50s) completed: 31%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0497  acc: 0.5927  lr: 0.0000 
Validation loss:1.593, accuracy:0.565
ep/it:475-  24 niter:181950  947m 14s (- 2043m 37s) completed: 31%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0496  acc: 0.5968  lr: 0.0000 
ep/it:475-  74 niter:182000  947m 28s (- 2043m 18s) completed: 31%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0511  acc: 0.5952  lr: 0.0000 
ep/it:475- 124 niter:182050  947m 42s (- 2043m 0s) completed: 31%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0515  acc: 0.6001  lr: 0.0000 
ep/it:475- 174 niter:182100  947m 56s (- 2042m 41s) completed: 31%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0499  acc: 0.5974  lr: 0.0000 
ep/it:475- 224 niter:182150  948m 11s (- 2042m 23s) completed: 31%) loss_emb: 0.0000  loss: 1.4326  loss_TTT: 0.0509  acc: 0.5881  lr: 0.0000 
ep/it:475- 274 niter:182200  948m 25s (- 2042m 4s) completed: 31%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0516  acc: 0.5956  lr: 0.0000 
ep/it:475- 324 niter:182250  948m 39s (- 2041m 45s) completed: 31%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0491  acc: 0.6016  lr: 0.0000 
ep/it:475- 374 niter:182300  948m 53s (- 2041m 27s) completed: 31%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0499  acc: 0.5946  lr: 0.0000 
Validation loss:1.598, accuracy:0.564
ep/it:476-  41 niter:182350  949m 10s (- 2041m 15s) completed: 31%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0515  acc: 0.6056  lr: 0.0000 
ep/it:476-  91 niter:182400  949m 25s (- 2040m 56s) completed: 31%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0486  acc: 0.5965  lr: 0.0000 
ep/it:476- 141 niter:182450  949m 39s (- 2040m 38s) completed: 31%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0517  acc: 0.6052  lr: 0.0000 
ep/it:476- 191 niter:182500  949m 53s (- 2040m 19s) completed: 31%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0486  acc: 0.5936  lr: 0.0000 
ep/it:476- 241 niter:182550  950m 8s (- 2040m 2s) completed: 31%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0501  acc: 0.5984  lr: 0.0000 
ep/it:476- 291 niter:182600  950m 23s (- 2039m 44s) completed: 31%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0488  acc: 0.5933  lr: 0.0000 
ep/it:476- 341 niter:182650  950m 37s (- 2039m 25s) completed: 31%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0495  acc: 0.5965  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:477-   8 niter:182700  950m 54s (- 2039m 12s) completed: 31%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0494  acc: 0.5945  lr: 0.0000 
ep/it:477-  58 niter:182750  951m 8s (- 2038m 54s) completed: 31%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0498  acc: 0.5959  lr: 0.0000 
ep/it:477- 108 niter:182800  951m 22s (- 2038m 35s) completed: 31%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0512  acc: 0.5900  lr: 0.0000 
ep/it:477- 158 niter:182850  951m 37s (- 2038m 18s) completed: 31%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0505  acc: 0.5946  lr: 0.0000 
ep/it:477- 208 niter:182900  951m 51s (- 2037m 59s) completed: 31%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0502  acc: 0.5945  lr: 0.0000 
ep/it:477- 258 niter:182950  952m 5s (- 2037m 40s) completed: 31%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0505  acc: 0.5945  lr: 0.0000 
ep/it:477- 308 niter:183000  952m 19s (- 2037m 21s) completed: 31%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0491  acc: 0.5956  lr: 0.0000 
ep/it:477- 358 niter:183050  952m 34s (- 2037m 3s) completed: 31%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0505  acc: 0.5942  lr: 0.0000 
Validation loss:1.598, accuracy:0.564
ep/it:478-  25 niter:183100  952m 51s (- 2036m 50s) completed: 31%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0499  acc: 0.5981  lr: 0.0000 
ep/it:478-  75 niter:183150  953m 5s (- 2036m 32s) completed: 31%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0508  acc: 0.5954  lr: 0.0000 
ep/it:478- 125 niter:183200  953m 19s (- 2036m 13s) completed: 31%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0490  acc: 0.5989  lr: 0.0000 
ep/it:478- 175 niter:183250  953m 33s (- 2035m 55s) completed: 31%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0524  acc: 0.5993  lr: 0.0000 
ep/it:478- 225 niter:183300  953m 48s (- 2035m 37s) completed: 31%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0509  acc: 0.5958  lr: 0.0000 
ep/it:478- 275 niter:183350  954m 3s (- 2035m 19s) completed: 31%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0475  acc: 0.6047  lr: 0.0000 
ep/it:478- 325 niter:183400  954m 17s (- 2035m 2s) completed: 31%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0524  acc: 0.5925  lr: 0.0000 
ep/it:478- 375 niter:183450  954m 32s (- 2034m 44s) completed: 31%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0491  acc: 0.5951  lr: 0.0000 
Validation loss:1.566, accuracy:0.572
ep/it:479-  42 niter:183500  954m 49s (- 2034m 32s) completed: 31%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0518  acc: 0.5941  lr: 0.0000 
ep/it:479-  92 niter:183550  955m 4s (- 2034m 15s) completed: 31%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0512  acc: 0.6016  lr: 0.0000 
ep/it:479- 142 niter:183600  955m 19s (- 2033m 57s) completed: 31%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0503  acc: 0.5938  lr: 0.0000 
ep/it:479- 192 niter:183650  955m 33s (- 2033m 39s) completed: 31%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0509  acc: 0.5934  lr: 0.0000 
ep/it:479- 242 niter:183700  955m 48s (- 2033m 21s) completed: 31%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0506  acc: 0.5982  lr: 0.0000 
ep/it:479- 292 niter:183750  956m 2s (- 2033m 3s) completed: 31%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0496  acc: 0.5993  lr: 0.0000 
ep/it:479- 342 niter:183800  956m 17s (- 2032m 45s) completed: 31%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0493  acc: 0.6020  lr: 0.0000 
Validation loss:1.603, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.00it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.45760880317539 avg: 38.45760880317539
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.678014802746475 avg: 38.56781180296093
--> 	 Eva. Repeat 0 :, FID. 0.0599, Diversity Real. 9.9026, Diversity. 9.7577, R_precision_real. [0.51074219 0.70214844 0.81054688], R_precision. [0.51171875 0.71386719 0.82324219], matching_score_real. 2.8458, matching_score_pred. 2.8602, skate_ratio. 0.0509, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0605 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0114 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0280 
ep/it:480-   9 niter:183850  957m 52s (- 2035m 19s) completed: 32%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0504  acc: 0.5959  lr: 0.0000 
ep/it:480-  59 niter:183900  958m 6s (- 2035m 0s) completed: 32%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0496  acc: 0.5993  lr: 0.0000 
ep/it:480- 109 niter:183950  958m 21s (- 2034m 43s) completed: 32%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0506  acc: 0.6020  lr: 0.0000 
ep/it:480- 159 niter:184000  958m 36s (- 2034m 25s) completed: 32%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0518  acc: 0.5909  lr: 0.0000 
ep/it:480- 209 niter:184050  958m 50s (- 2034m 7s) completed: 32%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0491  acc: 0.5983  lr: 0.0000 
ep/it:480- 259 niter:184100  959m 4s (- 2033m 48s) completed: 32%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0502  acc: 0.6043  lr: 0.0000 
ep/it:480- 309 niter:184150  959m 19s (- 2033m 30s) completed: 32%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0499  acc: 0.6000  lr: 0.0000 
ep/it:480- 359 niter:184200  959m 33s (- 2033m 11s) completed: 32%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0484  acc: 0.5932  lr: 0.0000 
Validation loss:1.610, accuracy:0.562
ep/it:481-  26 niter:184250  959m 49s (- 2032m 58s) completed: 32%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0505  acc: 0.5949  lr: 0.0000 
ep/it:481-  76 niter:184300  960m 4s (- 2032m 39s) completed: 32%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0498  acc: 0.5941  lr: 0.0000 
ep/it:481- 126 niter:184350  960m 19s (- 2032m 22s) completed: 32%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0514  acc: 0.5980  lr: 0.0000 
ep/it:481- 176 niter:184400  960m 33s (- 2032m 3s) completed: 32%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0496  acc: 0.5905  lr: 0.0000 
ep/it:481- 226 niter:184450  960m 47s (- 2031m 45s) completed: 32%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0499  acc: 0.5966  lr: 0.0000 
ep/it:481- 276 niter:184500  961m 1s (- 2031m 26s) completed: 32%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0500  acc: 0.6019  lr: 0.0000 
ep/it:481- 326 niter:184550  961m 16s (- 2031m 8s) completed: 32%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0530  acc: 0.5981  lr: 0.0000 
ep/it:481- 376 niter:184600  961m 30s (- 2030m 49s) completed: 32%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0501  acc: 0.5943  lr: 0.0000 
Validation loss:1.546, accuracy:0.578
ep/it:482-  43 niter:184650  961m 47s (- 2030m 37s) completed: 32%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0478  acc: 0.5879  lr: 0.0000 
ep/it:482-  93 niter:184700  962m 2s (- 2030m 19s) completed: 32%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0496  acc: 0.5934  lr: 0.0000 
ep/it:482- 143 niter:184750  962m 16s (- 2030m 1s) completed: 32%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0527  acc: 0.6034  lr: 0.0000 
ep/it:482- 193 niter:184800  962m 31s (- 2029m 43s) completed: 32%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0515  acc: 0.5979  lr: 0.0000 
ep/it:482- 243 niter:184850  962m 45s (- 2029m 24s) completed: 32%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0507  acc: 0.5973  lr: 0.0000 
ep/it:482- 293 niter:184900  962m 59s (- 2029m 6s) completed: 32%) loss_emb: 0.0000  loss: 1.4073  loss_TTT: 0.0486  acc: 0.5939  lr: 0.0000 
ep/it:482- 343 niter:184950  963m 13s (- 2028m 47s) completed: 32%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0505  acc: 0.5892  lr: 0.0000 
Validation loss:1.599, accuracy:0.564
ep/it:483-  10 niter:185000  963m 30s (- 2028m 33s) completed: 32%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0475  acc: 0.5986  lr: 0.0000 
ep/it:483-  60 niter:185050  963m 44s (- 2028m 15s) completed: 32%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0503  acc: 0.5980  lr: 0.0000 
ep/it:483- 110 niter:185100  963m 58s (- 2027m 57s) completed: 32%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0486  acc: 0.5970  lr: 0.0000 
ep/it:483- 160 niter:185150  964m 12s (- 2027m 38s) completed: 32%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0503  acc: 0.5949  lr: 0.0000 
ep/it:483- 210 niter:185200  964m 27s (- 2027m 19s) completed: 32%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0504  acc: 0.6024  lr: 0.0000 
ep/it:483- 260 niter:185250  964m 41s (- 2027m 0s) completed: 32%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0500  acc: 0.5984  lr: 0.0000 
ep/it:483- 310 niter:185300  964m 55s (- 2026m 41s) completed: 32%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0493  acc: 0.5926  lr: 0.0000 
ep/it:483- 360 niter:185350  965m 9s (- 2026m 23s) completed: 32%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0507  acc: 0.6036  lr: 0.0000 
Validation loss:1.575, accuracy:0.569
ep/it:484-  27 niter:185400  965m 26s (- 2026m 9s) completed: 32%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0481  acc: 0.5995  lr: 0.0000 
ep/it:484-  77 niter:185450  965m 40s (- 2025m 51s) completed: 32%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0494  acc: 0.5979  lr: 0.0000 
ep/it:484- 127 niter:185500  965m 54s (- 2025m 32s) completed: 32%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0508  acc: 0.5989  lr: 0.0000 
ep/it:484- 177 niter:185550  966m 9s (- 2025m 15s) completed: 32%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0518  acc: 0.5895  lr: 0.0000 
ep/it:484- 227 niter:185600  966m 24s (- 2024m 58s) completed: 32%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0501  acc: 0.6046  lr: 0.0000 
ep/it:484- 277 niter:185650  966m 38s (- 2024m 39s) completed: 32%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0506  acc: 0.5993  lr: 0.0000 
ep/it:484- 327 niter:185700  966m 53s (- 2024m 22s) completed: 32%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0503  acc: 0.6046  lr: 0.0000 
ep/it:484- 377 niter:185750  967m 8s (- 2024m 5s) completed: 32%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0497  acc: 0.5960  lr: 0.0000 
Validation loss:1.622, accuracy:0.557
ep/it:485-  44 niter:185800  967m 26s (- 2023m 54s) completed: 32%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0497  acc: 0.5940  lr: 0.0000 
ep/it:485-  94 niter:185850  967m 40s (- 2023m 36s) completed: 32%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0494  acc: 0.5960  lr: 0.0000 
ep/it:485- 144 niter:185900  967m 54s (- 2023m 18s) completed: 32%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0486  acc: 0.5958  lr: 0.0000 
ep/it:485- 194 niter:185950  968m 8s (- 2022m 59s) completed: 32%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0512  acc: 0.5959  lr: 0.0000 
ep/it:485- 244 niter:186000  968m 23s (- 2022m 40s) completed: 32%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0520  acc: 0.6005  lr: 0.0000 
ep/it:485- 294 niter:186050  968m 37s (- 2022m 23s) completed: 32%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0506  acc: 0.5923  lr: 0.0000 
ep/it:485- 344 niter:186100  968m 52s (- 2022m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0519  acc: 0.5943  lr: 0.0000 
Validation loss:1.575, accuracy:0.568
ep/it:486-  11 niter:186150  969m 9s (- 2021m 51s) completed: 32%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0505  acc: 0.5976  lr: 0.0000 
ep/it:486-  61 niter:186200  969m 23s (- 2021m 33s) completed: 32%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0490  acc: 0.6011  lr: 0.0000 
ep/it:486- 111 niter:186250  969m 37s (- 2021m 14s) completed: 32%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0492  acc: 0.5963  lr: 0.0000 
ep/it:486- 161 niter:186300  969m 51s (- 2020m 55s) completed: 32%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0520  acc: 0.5938  lr: 0.0000 
ep/it:486- 211 niter:186350  970m 6s (- 2020m 37s) completed: 32%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0492  acc: 0.5956  lr: 0.0000 
ep/it:486- 261 niter:186400  970m 20s (- 2020m 20s) completed: 32%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0511  acc: 0.5900  lr: 0.0000 
ep/it:486- 311 niter:186450  970m 34s (- 2020m 1s) completed: 32%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0508  acc: 0.5993  lr: 0.0000 
ep/it:486- 361 niter:186500  970m 49s (- 2019m 43s) completed: 32%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0524  acc: 0.6011  lr: 0.0000 
Validation loss:1.603, accuracy:0.563
ep/it:487-  28 niter:186550  971m 6s (- 2019m 30s) completed: 32%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0507  acc: 0.5961  lr: 0.0000 
ep/it:487-  78 niter:186600  971m 20s (- 2019m 11s) completed: 32%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0516  acc: 0.5909  lr: 0.0000 
ep/it:487- 128 niter:186650  971m 34s (- 2018m 52s) completed: 32%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0484  acc: 0.6025  lr: 0.0000 
ep/it:487- 178 niter:186700  971m 48s (- 2018m 33s) completed: 32%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0521  acc: 0.5944  lr: 0.0000 
ep/it:487- 228 niter:186750  972m 1s (- 2018m 14s) completed: 32%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0486  acc: 0.5948  lr: 0.0000 
ep/it:487- 278 niter:186800  972m 16s (- 2017m 55s) completed: 32%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0505  acc: 0.6017  lr: 0.0000 
ep/it:487- 328 niter:186850  972m 29s (- 2017m 36s) completed: 32%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0502  acc: 0.6006  lr: 0.0000 
ep/it:487- 378 niter:186900  972m 43s (- 2017m 17s) completed: 32%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0495  acc: 0.5950  lr: 0.0000 
Validation loss:1.599, accuracy:0.563
ep/it:488-  45 niter:186950  973m 0s (- 2017m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0503  acc: 0.5893  lr: 0.0000 
ep/it:488-  95 niter:187000  973m 14s (- 2016m 45s) completed: 32%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0492  acc: 0.5968  lr: 0.0000 
ep/it:488- 145 niter:187050  973m 29s (- 2016m 27s) completed: 32%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0483  acc: 0.5996  lr: 0.0000 
ep/it:488- 195 niter:187100  973m 43s (- 2016m 9s) completed: 32%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0494  acc: 0.5985  lr: 0.0000 
ep/it:488- 245 niter:187150  973m 58s (- 2015m 52s) completed: 32%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0504  acc: 0.5977  lr: 0.0000 
ep/it:488- 295 niter:187200  974m 13s (- 2015m 34s) completed: 32%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0480  acc: 0.6018  lr: 0.0000 
ep/it:488- 345 niter:187250  974m 27s (- 2015m 16s) completed: 32%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0511  acc: 0.5952  lr: 0.0000 
Validation loss:1.591, accuracy:0.563
ep/it:489-  12 niter:187300  974m 44s (- 2015m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0531  acc: 0.5940  lr: 0.0000 
ep/it:489-  62 niter:187350  974m 59s (- 2014m 45s) completed: 32%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0507  acc: 0.5971  lr: 0.0000 
ep/it:489- 112 niter:187400  975m 13s (- 2014m 26s) completed: 32%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0501  acc: 0.5963  lr: 0.0000 
ep/it:489- 162 niter:187450  975m 27s (- 2014m 8s) completed: 32%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0512  acc: 0.5999  lr: 0.0000 
ep/it:489- 212 niter:187500  975m 41s (- 2013m 49s) completed: 32%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0503  acc: 0.5928  lr: 0.0000 
ep/it:489- 262 niter:187550  975m 55s (- 2013m 30s) completed: 32%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0518  acc: 0.5984  lr: 0.0000 
ep/it:489- 312 niter:187600  976m 9s (- 2013m 12s) completed: 32%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0518  acc: 0.5951  lr: 0.0000 
ep/it:489- 362 niter:187650  976m 23s (- 2012m 53s) completed: 32%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0487  acc: 0.5986  lr: 0.0000 
Validation loss:1.589, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.71it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.5782004725188 avg: 38.5782004725188
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.424138761125505 avg: 38.50116961682215
--> 	 Eva. Repeat 0 :, FID. 0.0766, Diversity Real. 10.0068, Diversity. 9.7286, R_precision_real. [0.51464844 0.70410156 0.80273438], R_precision. [0.50683594 0.70507812 0.80175781], matching_score_real. 2.8694, matching_score_pred. 2.8666, skate_ratio. 0.0498, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0703 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0096 (kps_fail_50cm (Loc. err)): 0.0007 (kps_mean_err(m) (Avg. err)): 0.0276 
ep/it:490-  29 niter:187700  977m 59s (- 2015m 22s) completed: 32%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0502  acc: 0.5986  lr: 0.0000 
ep/it:490-  79 niter:187750  978m 13s (- 2015m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0519  acc: 0.5906  lr: 0.0000 
ep/it:490- 129 niter:187800  978m 28s (- 2014m 46s) completed: 32%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0497  acc: 0.6049  lr: 0.0000 
ep/it:490- 179 niter:187850  978m 42s (- 2014m 28s) completed: 32%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0515  acc: 0.6015  lr: 0.0000 
ep/it:490- 229 niter:187900  978m 57s (- 2014m 10s) completed: 32%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0495  acc: 0.5973  lr: 0.0000 
ep/it:490- 279 niter:187950  979m 11s (- 2013m 52s) completed: 32%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0505  acc: 0.5961  lr: 0.0000 
ep/it:490- 329 niter:188000  979m 25s (- 2013m 34s) completed: 32%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0496  acc: 0.5969  lr: 0.0000 
ep/it:490- 379 niter:188050  979m 40s (- 2013m 16s) completed: 32%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0496  acc: 0.6037  lr: 0.0000 
Validation loss:1.613, accuracy:0.559
ep/it:491-  46 niter:188100  979m 57s (- 2013m 3s) completed: 32%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0499  acc: 0.5964  lr: 0.0000 
ep/it:491-  96 niter:188150  980m 11s (- 2012m 44s) completed: 32%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0485  acc: 0.5994  lr: 0.0000 
ep/it:491- 146 niter:188200  980m 25s (- 2012m 25s) completed: 32%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0499  acc: 0.5996  lr: 0.0000 
ep/it:491- 196 niter:188250  980m 39s (- 2012m 7s) completed: 32%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0520  acc: 0.5917  lr: 0.0000 
ep/it:491- 246 niter:188300  980m 53s (- 2011m 48s) completed: 32%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0509  acc: 0.6063  lr: 0.0000 
ep/it:491- 296 niter:188350  981m 7s (- 2011m 29s) completed: 32%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0534  acc: 0.6026  lr: 0.0000 
ep/it:491- 346 niter:188400  981m 22s (- 2011m 11s) completed: 32%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0506  acc: 0.5974  lr: 0.0000 
Validation loss:1.586, accuracy:0.568
ep/it:492-  13 niter:188450  981m 39s (- 2010m 58s) completed: 32%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0503  acc: 0.6022  lr: 0.0000 
ep/it:492-  63 niter:188500  981m 53s (- 2010m 40s) completed: 32%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0513  acc: 0.5952  lr: 0.0000 
ep/it:492- 113 niter:188550  982m 8s (- 2010m 22s) completed: 32%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0500  acc: 0.5989  lr: 0.0000 
ep/it:492- 163 niter:188600  982m 23s (- 2010m 5s) completed: 32%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0497  acc: 0.6000  lr: 0.0000 
ep/it:492- 213 niter:188650  982m 37s (- 2009m 47s) completed: 32%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0491  acc: 0.5913  lr: 0.0000 
ep/it:492- 263 niter:188700  982m 52s (- 2009m 29s) completed: 32%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0499  acc: 0.5974  lr: 0.0000 
ep/it:492- 313 niter:188750  983m 6s (- 2009m 10s) completed: 32%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0511  acc: 0.5959  lr: 0.0000 
ep/it:492- 363 niter:188800  983m 20s (- 2008m 51s) completed: 32%) loss_emb: 0.0000  loss: 1.4415  loss_TTT: 0.0496  acc: 0.5867  lr: 0.0000 
Validation loss:1.561, accuracy:0.573
ep/it:493-  30 niter:188850  983m 36s (- 2008m 37s) completed: 32%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0490  acc: 0.5975  lr: 0.0000 
ep/it:493-  80 niter:188900  983m 51s (- 2008m 19s) completed: 32%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0494  acc: 0.5978  lr: 0.0000 
ep/it:493- 130 niter:188950  984m 5s (- 2008m 0s) completed: 32%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0512  acc: 0.5889  lr: 0.0000 
ep/it:493- 180 niter:189000  984m 19s (- 2007m 43s) completed: 32%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0493  acc: 0.5986  lr: 0.0000 
ep/it:493- 230 niter:189050  984m 34s (- 2007m 25s) completed: 32%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0507  acc: 0.5984  lr: 0.0000 
ep/it:493- 280 niter:189100  984m 48s (- 2007m 7s) completed: 32%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0500  acc: 0.5941  lr: 0.0000 
ep/it:493- 330 niter:189150  985m 3s (- 2006m 49s) completed: 32%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0480  acc: 0.6033  lr: 0.0000 
ep/it:493- 380 niter:189200  985m 17s (- 2006m 30s) completed: 32%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0492  acc: 0.5917  lr: 0.0000 
Validation loss:1.628, accuracy:0.557
ep/it:494-  47 niter:189250  985m 34s (- 2006m 18s) completed: 32%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0481  acc: 0.6043  lr: 0.0000 
ep/it:494-  97 niter:189300  985m 48s (- 2006m 0s) completed: 32%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0492  acc: 0.5967  lr: 0.0000 
ep/it:494- 147 niter:189350  986m 3s (- 2005m 42s) completed: 32%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0496  acc: 0.5963  lr: 0.0000 
ep/it:494- 197 niter:189400  986m 17s (- 2005m 24s) completed: 32%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0500  acc: 0.6001  lr: 0.0000 
ep/it:494- 247 niter:189450  986m 32s (- 2005m 5s) completed: 32%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0500  acc: 0.5884  lr: 0.0000 
ep/it:494- 297 niter:189500  986m 46s (- 2004m 47s) completed: 32%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0510  acc: 0.5992  lr: 0.0000 
ep/it:494- 347 niter:189550  987m 1s (- 2004m 29s) completed: 32%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0503  acc: 0.5978  lr: 0.0000 
Validation loss:1.612, accuracy:0.559
ep/it:495-  14 niter:189600  987m 18s (- 2004m 17s) completed: 33%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0499  acc: 0.6056  lr: 0.0000 
ep/it:495-  64 niter:189650  987m 32s (- 2003m 59s) completed: 33%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0521  acc: 0.5932  lr: 0.0000 
ep/it:495- 114 niter:189700  987m 46s (- 2003m 40s) completed: 33%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0497  acc: 0.5995  lr: 0.0000 
ep/it:495- 164 niter:189750  988m 0s (- 2003m 21s) completed: 33%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0480  acc: 0.6020  lr: 0.0000 
ep/it:495- 214 niter:189800  988m 14s (- 2003m 2s) completed: 33%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0497  acc: 0.6071  lr: 0.0000 
ep/it:495- 264 niter:189850  988m 28s (- 2002m 43s) completed: 33%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0509  acc: 0.5897  lr: 0.0000 
ep/it:495- 314 niter:189900  988m 42s (- 2002m 24s) completed: 33%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0486  acc: 0.6002  lr: 0.0000 
ep/it:495- 364 niter:189950  988m 56s (- 2002m 5s) completed: 33%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0478  acc: 0.5951  lr: 0.0000 
Validation loss:1.599, accuracy:0.563
ep/it:496-  31 niter:190000  989m 13s (- 2001m 52s) completed: 33%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0495  acc: 0.5962  lr: 0.0000 
ep/it:496-  81 niter:190050  989m 28s (- 2001m 35s) completed: 33%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0493  acc: 0.6034  lr: 0.0000 
ep/it:496- 131 niter:190100  989m 42s (- 2001m 17s) completed: 33%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0488  acc: 0.5980  lr: 0.0000 
ep/it:496- 181 niter:190150  989m 57s (- 2000m 59s) completed: 33%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0516  acc: 0.6025  lr: 0.0000 
ep/it:496- 231 niter:190200  990m 12s (- 2000m 42s) completed: 33%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0510  acc: 0.5984  lr: 0.0000 
ep/it:496- 281 niter:190250  990m 26s (- 2000m 23s) completed: 33%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0492  acc: 0.5974  lr: 0.0000 
ep/it:496- 331 niter:190300  990m 40s (- 2000m 6s) completed: 33%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0524  acc: 0.6017  lr: 0.0000 
ep/it:496- 381 niter:190350  990m 55s (- 1999m 47s) completed: 33%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0521  acc: 0.5925  lr: 0.0000 
Validation loss:1.555, accuracy:0.575
ep/it:497-  48 niter:190400  991m 11s (- 1999m 34s) completed: 33%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0510  acc: 0.5973  lr: 0.0000 
ep/it:497-  98 niter:190450  991m 25s (- 1999m 15s) completed: 33%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0481  acc: 0.6024  lr: 0.0000 
ep/it:497- 148 niter:190500  991m 39s (- 1998m 56s) completed: 33%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0504  acc: 0.5995  lr: 0.0000 
ep/it:497- 198 niter:190550  991m 53s (- 1998m 37s) completed: 33%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0500  acc: 0.5980  lr: 0.0000 
ep/it:497- 248 niter:190600  992m 8s (- 1998m 19s) completed: 33%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0509  acc: 0.5974  lr: 0.0000 
ep/it:497- 298 niter:190650  992m 22s (- 1998m 0s) completed: 33%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0500  acc: 0.5876  lr: 0.0000 
ep/it:497- 348 niter:190700  992m 36s (- 1997m 41s) completed: 33%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0492  acc: 0.5984  lr: 0.0000 
Validation loss:1.595, accuracy:0.562
ep/it:498-  15 niter:190750  992m 52s (- 1997m 28s) completed: 33%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0526  acc: 0.5960  lr: 0.0000 
ep/it:498-  65 niter:190800  993m 7s (- 1997m 11s) completed: 33%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0496  acc: 0.6026  lr: 0.0000 
ep/it:498- 115 niter:190850  993m 22s (- 1996m 53s) completed: 33%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0510  acc: 0.5987  lr: 0.0000 
ep/it:498- 165 niter:190900  993m 36s (- 1996m 35s) completed: 33%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0492  acc: 0.6021  lr: 0.0000 
ep/it:498- 215 niter:190950  993m 51s (- 1996m 18s) completed: 33%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0494  acc: 0.5941  lr: 0.0000 
ep/it:498- 265 niter:191000  994m 6s (- 1996m 0s) completed: 33%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0497  acc: 0.6048  lr: 0.0000 
ep/it:498- 315 niter:191050  994m 20s (- 1995m 42s) completed: 33%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0495  acc: 0.5965  lr: 0.0000 
ep/it:498- 365 niter:191100  994m 35s (- 1995m 24s) completed: 33%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0503  acc: 0.5980  lr: 0.0000 
Validation loss:1.581, accuracy:0.568
ep/it:499-  32 niter:191150  994m 51s (- 1995m 11s) completed: 33%) loss_emb: 0.0000  loss: 1.4403  loss_TTT: 0.0524  acc: 0.5860  lr: 0.0000 
ep/it:499-  82 niter:191200  995m 5s (- 1994m 52s) completed: 33%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0492  acc: 0.5974  lr: 0.0000 
ep/it:499- 132 niter:191250  995m 19s (- 1994m 33s) completed: 33%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0484  acc: 0.5969  lr: 0.0000 
ep/it:499- 182 niter:191300  995m 34s (- 1994m 15s) completed: 33%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0513  acc: 0.5980  lr: 0.0000 
ep/it:499- 232 niter:191350  995m 48s (- 1993m 56s) completed: 33%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0488  acc: 0.5970  lr: 0.0000 
ep/it:499- 282 niter:191400  996m 2s (- 1993m 37s) completed: 33%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0487  acc: 0.6001  lr: 0.0000 
ep/it:499- 332 niter:191450  996m 16s (- 1993m 19s) completed: 33%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0489  acc: 0.5980  lr: 0.0000 
ep/it:499- 382 niter:191500  996m 29s (- 1992m 59s) completed: 33%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0494  acc: 0.5963  lr: 0.0000 
Validation loss:1.602, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.67it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.63805140275508 avg: 38.63805140275508
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.37721282988787 avg: 38.507632116321474
--> 	 Eva. Repeat 0 :, FID. 0.0800, Diversity Real. 9.7316, Diversity. 9.6618, R_precision_real. [0.53515625 0.70996094 0.80273438], R_precision. [0.54199219 0.70410156 0.80078125], matching_score_real. 2.8809, matching_score_pred. 2.9334, skate_ratio. 0.0465, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0635 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0129 (kps_fail_50cm (Loc. err)): 0.0015 (kps_mean_err(m) (Avg. err)): 0.0298 
ep/it:500-  49 niter:191550  998m 5s (- 1995m 24s) completed: 33%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0498  acc: 0.6036  lr: 0.0000 
ep/it:500-  99 niter:191600  998m 19s (- 1995m 5s) completed: 33%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0490  acc: 0.6028  lr: 0.0000 
ep/it:500- 149 niter:191650  998m 33s (- 1994m 46s) completed: 33%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0501  acc: 0.6028  lr: 0.0000 
ep/it:500- 199 niter:191700  998m 47s (- 1994m 27s) completed: 33%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0512  acc: 0.5987  lr: 0.0000 
ep/it:500- 249 niter:191750  999m 1s (- 1994m 9s) completed: 33%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0494  acc: 0.5904  lr: 0.0000 
ep/it:500- 299 niter:191800  999m 16s (- 1993m 50s) completed: 33%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0511  acc: 0.5968  lr: 0.0000 
ep/it:500- 349 niter:191850  999m 30s (- 1993m 33s) completed: 33%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0500  acc: 0.5945  lr: 0.0000 
Validation loss:1.561, accuracy:0.574
ep/it:501-  16 niter:191900  999m 47s (- 1993m 19s) completed: 33%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0509  acc: 0.6105  lr: 0.0000 
ep/it:501-  66 niter:191950  1000m 1s (- 1993m 1s) completed: 33%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0508  acc: 0.5957  lr: 0.0000 
ep/it:501- 116 niter:192000  1000m 15s (- 1992m 42s) completed: 33%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0514  acc: 0.5951  lr: 0.0000 
ep/it:501- 166 niter:192050  1000m 30s (- 1992m 24s) completed: 33%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0488  acc: 0.5885  lr: 0.0000 
ep/it:501- 216 niter:192100  1000m 44s (- 1992m 6s) completed: 33%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0488  acc: 0.6042  lr: 0.0000 
ep/it:501- 266 niter:192150  1000m 58s (- 1991m 47s) completed: 33%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0497  acc: 0.6009  lr: 0.0000 
ep/it:501- 316 niter:192200  1001m 13s (- 1991m 29s) completed: 33%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0502  acc: 0.5929  lr: 0.0000 
ep/it:501- 366 niter:192250  1001m 27s (- 1991m 11s) completed: 33%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0502  acc: 0.6025  lr: 0.0000 
Validation loss:1.558, accuracy:0.573
ep/it:502-  33 niter:192300  1001m 44s (- 1990m 58s) completed: 33%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0505  acc: 0.5985  lr: 0.0000 
ep/it:502-  83 niter:192350  1001m 58s (- 1990m 40s) completed: 33%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0500  acc: 0.5942  lr: 0.0000 
ep/it:502- 133 niter:192400  1002m 12s (- 1990m 21s) completed: 33%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0496  acc: 0.5951  lr: 0.0000 
ep/it:502- 183 niter:192450  1002m 27s (- 1990m 3s) completed: 33%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0494  acc: 0.5999  lr: 0.0000 
ep/it:502- 233 niter:192500  1002m 41s (- 1989m 45s) completed: 33%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0495  acc: 0.6068  lr: 0.0000 
ep/it:502- 283 niter:192550  1002m 56s (- 1989m 28s) completed: 33%) loss_emb: 0.0000  loss: 1.4351  loss_TTT: 0.0481  acc: 0.5875  lr: 0.0000 
ep/it:502- 333 niter:192600  1003m 10s (- 1989m 10s) completed: 33%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0496  acc: 0.5928  lr: 0.0000 
Validation loss:1.612, accuracy:0.561
ep/it:503-   0 niter:192650  1003m 28s (- 1988m 58s) completed: 33%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0502  acc: 0.5883  lr: 0.0000 
ep/it:503-  50 niter:192700  1003m 42s (- 1988m 39s) completed: 33%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0491  acc: 0.6027  lr: 0.0000 
ep/it:503- 100 niter:192750  1003m 56s (- 1988m 20s) completed: 33%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0490  acc: 0.5923  lr: 0.0000 
ep/it:503- 150 niter:192800  1004m 10s (- 1988m 2s) completed: 33%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0481  acc: 0.5937  lr: 0.0000 
ep/it:503- 200 niter:192850  1004m 24s (- 1987m 43s) completed: 33%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0523  acc: 0.5946  lr: 0.0000 
ep/it:503- 250 niter:192900  1004m 38s (- 1987m 25s) completed: 33%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0509  acc: 0.6000  lr: 0.0000 
ep/it:503- 300 niter:192950  1004m 53s (- 1987m 7s) completed: 33%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0511  acc: 0.5918  lr: 0.0000 
ep/it:503- 350 niter:193000  1005m 7s (- 1986m 49s) completed: 33%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0495  acc: 0.5994  lr: 0.0000 
Validation loss:1.588, accuracy:0.567
ep/it:504-  17 niter:193050  1005m 25s (- 1986m 36s) completed: 33%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0490  acc: 0.5994  lr: 0.0000 
ep/it:504-  67 niter:193100  1005m 39s (- 1986m 18s) completed: 33%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0511  acc: 0.5954  lr: 0.0000 
ep/it:504- 117 niter:193150  1005m 53s (- 1986m 0s) completed: 33%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0487  acc: 0.5950  lr: 0.0000 
ep/it:504- 167 niter:193200  1006m 8s (- 1985m 42s) completed: 33%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0506  acc: 0.5975  lr: 0.0000 
ep/it:504- 217 niter:193250  1006m 22s (- 1985m 24s) completed: 33%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0496  acc: 0.5993  lr: 0.0000 
ep/it:504- 267 niter:193300  1006m 37s (- 1985m 6s) completed: 33%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0501  acc: 0.6006  lr: 0.0000 
ep/it:504- 317 niter:193350  1006m 51s (- 1984m 49s) completed: 33%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0495  acc: 0.6008  lr: 0.0000 
ep/it:504- 367 niter:193400  1007m 6s (- 1984m 31s) completed: 33%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0504  acc: 0.5990  lr: 0.0000 
Validation loss:1.554, accuracy:0.575
ep/it:505-  34 niter:193450  1007m 23s (- 1984m 19s) completed: 33%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0514  acc: 0.5993  lr: 0.0000 
ep/it:505-  84 niter:193500  1007m 37s (- 1984m 1s) completed: 33%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0501  acc: 0.6033  lr: 0.0000 
ep/it:505- 134 niter:193550  1007m 52s (- 1983m 43s) completed: 33%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0493  acc: 0.5994  lr: 0.0000 
ep/it:505- 184 niter:193600  1008m 7s (- 1983m 26s) completed: 33%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0469  acc: 0.5991  lr: 0.0000 
ep/it:505- 234 niter:193650  1008m 22s (- 1983m 8s) completed: 33%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0499  acc: 0.5918  lr: 0.0000 
ep/it:505- 284 niter:193700  1008m 36s (- 1982m 50s) completed: 33%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0490  acc: 0.5999  lr: 0.0000 
ep/it:505- 334 niter:193750  1008m 51s (- 1982m 33s) completed: 33%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0510  acc: 0.5981  lr: 0.0000 
Validation loss:1.547, accuracy:0.576
ep/it:506-   1 niter:193800  1009m 8s (- 1982m 22s) completed: 33%) loss_emb: 0.0000  loss: 1.4259  loss_TTT: 0.0513  acc: 0.5909  lr: 0.0000 
ep/it:506-  51 niter:193850  1009m 23s (- 1982m 4s) completed: 33%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0484  acc: 0.5992  lr: 0.0000 
ep/it:506- 101 niter:193900  1009m 38s (- 1981m 46s) completed: 33%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0511  acc: 0.5964  lr: 0.0000 
ep/it:506- 151 niter:193950  1009m 52s (- 1981m 28s) completed: 33%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0507  acc: 0.5910  lr: 0.0000 
ep/it:506- 201 niter:194000  1010m 7s (- 1981m 10s) completed: 33%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0492  acc: 0.6001  lr: 0.0000 
ep/it:506- 251 niter:194050  1010m 22s (- 1980m 54s) completed: 33%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0498  acc: 0.5950  lr: 0.0000 
ep/it:506- 301 niter:194100  1010m 36s (- 1980m 37s) completed: 33%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0481  acc: 0.6041  lr: 0.0000 
ep/it:506- 351 niter:194150  1010m 51s (- 1980m 18s) completed: 33%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0491  acc: 0.5898  lr: 0.0000 
Validation loss:1.604, accuracy:0.564
ep/it:507-  18 niter:194200  1011m 8s (- 1980m 6s) completed: 33%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0514  acc: 0.5903  lr: 0.0000 
ep/it:507-  68 niter:194250  1011m 23s (- 1979m 49s) completed: 33%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0503  acc: 0.5988  lr: 0.0000 
ep/it:507- 118 niter:194300  1011m 37s (- 1979m 31s) completed: 33%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0498  acc: 0.5984  lr: 0.0000 
ep/it:507- 168 niter:194350  1011m 51s (- 1979m 12s) completed: 33%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0485  acc: 0.5995  lr: 0.0000 
ep/it:507- 218 niter:194400  1012m 6s (- 1978m 55s) completed: 33%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0490  acc: 0.6048  lr: 0.0000 
ep/it:507- 268 niter:194450  1012m 21s (- 1978m 37s) completed: 33%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0496  acc: 0.5990  lr: 0.0000 
ep/it:507- 318 niter:194500  1012m 35s (- 1978m 19s) completed: 33%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0490  acc: 0.6023  lr: 0.0000 
ep/it:507- 368 niter:194550  1012m 50s (- 1978m 2s) completed: 33%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0504  acc: 0.5951  lr: 0.0000 
Validation loss:1.590, accuracy:0.564
ep/it:508-  35 niter:194600  1013m 7s (- 1977m 49s) completed: 33%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0492  acc: 0.5948  lr: 0.0000 
ep/it:508-  85 niter:194650  1013m 21s (- 1977m 31s) completed: 33%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0503  acc: 0.5993  lr: 0.0000 
ep/it:508- 135 niter:194700  1013m 36s (- 1977m 13s) completed: 33%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0509  acc: 0.5956  lr: 0.0000 
ep/it:508- 185 niter:194750  1013m 51s (- 1976m 56s) completed: 33%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0514  acc: 0.6005  lr: 0.0000 
ep/it:508- 235 niter:194800  1014m 5s (- 1976m 39s) completed: 33%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0508  acc: 0.6019  lr: 0.0000 
ep/it:508- 285 niter:194850  1014m 20s (- 1976m 21s) completed: 33%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0491  acc: 0.6013  lr: 0.0000 
ep/it:508- 335 niter:194900  1014m 34s (- 1976m 2s) completed: 33%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0501  acc: 0.5933  lr: 0.0000 
Validation loss:1.599, accuracy:0.561
ep/it:509-   2 niter:194950  1014m 51s (- 1975m 50s) completed: 33%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0490  acc: 0.6040  lr: 0.0000 
ep/it:509-  52 niter:195000  1015m 5s (- 1975m 32s) completed: 33%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0480  acc: 0.5976  lr: 0.0000 
ep/it:509- 102 niter:195050  1015m 21s (- 1975m 15s) completed: 33%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0512  acc: 0.5965  lr: 0.0000 
ep/it:509- 152 niter:195100  1015m 35s (- 1974m 58s) completed: 33%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0496  acc: 0.5991  lr: 0.0000 
ep/it:509- 202 niter:195150  1015m 50s (- 1974m 40s) completed: 33%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0518  acc: 0.5997  lr: 0.0000 
ep/it:509- 252 niter:195200  1016m 4s (- 1974m 22s) completed: 33%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0484  acc: 0.5939  lr: 0.0000 
ep/it:509- 302 niter:195250  1016m 19s (- 1974m 5s) completed: 33%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0520  acc: 0.6009  lr: 0.0000 
ep/it:509- 352 niter:195300  1016m 33s (- 1973m 46s) completed: 33%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0495  acc: 0.5933  lr: 0.0000 
Validation loss:1.630, accuracy:0.554

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.67it/s]
 34%|███▍      | 16/47 [00:40<01:19,  2.57s/it]
 68%|██████▊   | 32/47 [01:20<00:38,  2.54s/it]
100%|██████████| 47/47 [01:21<00:00,  1.72s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.766498727723956 avg: 39.766498727723956
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  40.058132271282375 avg: 39.912315499503165
--> 	 Eva. Repeat 0 :, FID. 0.0881, Diversity Real. 9.2557, Diversity. 9.4436, R_precision_real. [0.51757812 0.70800781 0.80761719], R_precision. [0.51074219 0.70019531 0.79492188], matching_score_real. 2.8504, matching_score_pred. 2.9385, skate_ratio. 0.0501, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0596 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0126 (kps_fail_50cm (Loc. err)): 0.0008 (kps_mean_err(m) (Avg. err)): 0.0293 
ep/it:510-  19 niter:195350  1018m 12s (- 1976m 12s) completed: 34%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0496  acc: 0.5964  lr: 0.0000 
ep/it:510-  69 niter:195400  1018m 26s (- 1975m 54s) completed: 34%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0498  acc: 0.6010  lr: 0.0000 
ep/it:510- 119 niter:195450  1018m 41s (- 1975m 36s) completed: 34%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0499  acc: 0.5971  lr: 0.0000 
ep/it:510- 169 niter:195500  1018m 55s (- 1975m 17s) completed: 34%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0485  acc: 0.6005  lr: 0.0000 
ep/it:510- 219 niter:195550  1019m 9s (- 1975m 0s) completed: 34%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0502  acc: 0.5886  lr: 0.0000 
ep/it:510- 269 niter:195600  1019m 23s (- 1974m 41s) completed: 34%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0489  acc: 0.5974  lr: 0.0000 
ep/it:510- 319 niter:195650  1019m 38s (- 1974m 23s) completed: 34%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0498  acc: 0.5967  lr: 0.0000 
ep/it:510- 369 niter:195700  1019m 52s (- 1974m 5s) completed: 34%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0495  acc: 0.6002  lr: 0.0000 
Validation loss:1.580, accuracy:0.565
ep/it:511-  36 niter:195750  1020m 9s (- 1973m 51s) completed: 34%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0494  acc: 0.5985  lr: 0.0000 
ep/it:511-  86 niter:195800  1020m 23s (- 1973m 33s) completed: 34%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0492  acc: 0.6012  lr: 0.0000 
ep/it:511- 136 niter:195850  1020m 38s (- 1973m 16s) completed: 34%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0505  acc: 0.6026  lr: 0.0000 
ep/it:511- 186 niter:195900  1020m 52s (- 1972m 57s) completed: 34%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0493  acc: 0.5996  lr: 0.0000 
ep/it:511- 236 niter:195950  1021m 7s (- 1972m 39s) completed: 34%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0485  acc: 0.5910  lr: 0.0000 
ep/it:511- 286 niter:196000  1021m 21s (- 1972m 22s) completed: 34%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0513  acc: 0.5955  lr: 0.0000 
ep/it:511- 336 niter:196050  1021m 36s (- 1972m 5s) completed: 34%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0482  acc: 0.5999  lr: 0.0000 
Validation loss:1.529, accuracy:0.580
ep/it:512-   3 niter:196100  1021m 53s (- 1971m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0484  acc: 0.5944  lr: 0.0000 
ep/it:512-  53 niter:196150  1022m 8s (- 1971m 35s) completed: 34%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0481  acc: 0.5960  lr: 0.0000 
ep/it:512- 103 niter:196200  1022m 22s (- 1971m 17s) completed: 34%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0491  acc: 0.5899  lr: 0.0000 
ep/it:512- 153 niter:196250  1022m 37s (- 1970m 59s) completed: 34%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0513  acc: 0.5949  lr: 0.0000 
ep/it:512- 203 niter:196300  1022m 51s (- 1970m 41s) completed: 34%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0490  acc: 0.5959  lr: 0.0000 
ep/it:512- 253 niter:196350  1023m 6s (- 1970m 24s) completed: 34%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0516  acc: 0.5999  lr: 0.0000 
ep/it:512- 303 niter:196400  1023m 21s (- 1970m 7s) completed: 34%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0507  acc: 0.5957  lr: 0.0000 
ep/it:512- 353 niter:196450  1023m 36s (- 1969m 49s) completed: 34%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0479  acc: 0.5944  lr: 0.0000 
Validation loss:1.610, accuracy:0.560
ep/it:513-  20 niter:196500  1023m 53s (- 1969m 37s) completed: 34%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0502  acc: 0.5979  lr: 0.0000 
ep/it:513-  70 niter:196550  1024m 7s (- 1969m 19s) completed: 34%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0501  acc: 0.6000  lr: 0.0000 
ep/it:513- 120 niter:196600  1024m 22s (- 1969m 1s) completed: 34%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0505  acc: 0.5904  lr: 0.0000 
ep/it:513- 170 niter:196650  1024m 37s (- 1968m 44s) completed: 34%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0486  acc: 0.5948  lr: 0.0000 
ep/it:513- 220 niter:196700  1024m 51s (- 1968m 25s) completed: 34%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0509  acc: 0.5974  lr: 0.0000 
ep/it:513- 270 niter:196750  1025m 6s (- 1968m 8s) completed: 34%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0491  acc: 0.5931  lr: 0.0000 
ep/it:513- 320 niter:196800  1025m 20s (- 1967m 51s) completed: 34%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0509  acc: 0.5946  lr: 0.0000 
ep/it:513- 370 niter:196850  1025m 35s (- 1967m 33s) completed: 34%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0495  acc: 0.5970  lr: 0.0000 
Validation loss:1.594, accuracy:0.566
ep/it:514-  37 niter:196900  1025m 52s (- 1967m 20s) completed: 34%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0488  acc: 0.5976  lr: 0.0000 
ep/it:514-  87 niter:196950  1026m 6s (- 1967m 2s) completed: 34%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0486  acc: 0.5991  lr: 0.0000 
ep/it:514- 137 niter:197000  1026m 21s (- 1966m 44s) completed: 34%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0510  acc: 0.5882  lr: 0.0000 
ep/it:514- 187 niter:197050  1026m 36s (- 1966m 27s) completed: 34%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0485  acc: 0.5900  lr: 0.0000 
ep/it:514- 237 niter:197100  1026m 50s (- 1966m 10s) completed: 34%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0502  acc: 0.5898  lr: 0.0000 
ep/it:514- 287 niter:197150  1027m 5s (- 1965m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0505  acc: 0.5948  lr: 0.0000 
ep/it:514- 337 niter:197200  1027m 19s (- 1965m 34s) completed: 34%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0512  acc: 0.5980  lr: 0.0000 
Validation loss:1.581, accuracy:0.569
ep/it:515-   4 niter:197250  1027m 37s (- 1965m 22s) completed: 34%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0498  acc: 0.6007  lr: 0.0000 
ep/it:515-  54 niter:197300  1027m 52s (- 1965m 5s) completed: 34%) loss_emb: 0.0000  loss: 1.3493  loss_TTT: 0.0478  acc: 0.6104  lr: 0.0000 
ep/it:515- 104 niter:197350  1028m 6s (- 1964m 47s) completed: 34%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0494  acc: 0.6023  lr: 0.0000 
ep/it:515- 154 niter:197400  1028m 20s (- 1964m 29s) completed: 34%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0487  acc: 0.5965  lr: 0.0000 
ep/it:515- 204 niter:197450  1028m 35s (- 1964m 11s) completed: 34%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0520  acc: 0.5900  lr: 0.0000 
ep/it:515- 254 niter:197500  1028m 49s (- 1963m 53s) completed: 34%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0482  acc: 0.6009  lr: 0.0000 
ep/it:515- 304 niter:197550  1029m 5s (- 1963m 37s) completed: 34%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0492  acc: 0.6040  lr: 0.0000 
ep/it:515- 354 niter:197600  1029m 19s (- 1963m 19s) completed: 34%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0509  acc: 0.5943  lr: 0.0000 
Validation loss:1.605, accuracy:0.561
ep/it:516-  21 niter:197650  1029m 36s (- 1963m 7s) completed: 34%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0504  acc: 0.5965  lr: 0.0000 
ep/it:516-  71 niter:197700  1029m 51s (- 1962m 48s) completed: 34%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0494  acc: 0.6065  lr: 0.0000 
ep/it:516- 121 niter:197750  1030m 5s (- 1962m 31s) completed: 34%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0491  acc: 0.6055  lr: 0.0000 
ep/it:516- 171 niter:197800  1030m 19s (- 1962m 12s) completed: 34%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0505  acc: 0.6036  lr: 0.0000 
ep/it:516- 221 niter:197850  1030m 33s (- 1961m 54s) completed: 34%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0505  acc: 0.5980  lr: 0.0000 
ep/it:516- 271 niter:197900  1030m 47s (- 1961m 35s) completed: 34%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0521  acc: 0.6072  lr: 0.0000 
ep/it:516- 321 niter:197950  1031m 1s (- 1961m 16s) completed: 34%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0476  acc: 0.5951  lr: 0.0000 
ep/it:516- 371 niter:198000  1031m 16s (- 1960m 58s) completed: 34%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0500  acc: 0.6035  lr: 0.0000 
Validation loss:1.566, accuracy:0.570
ep/it:517-  38 niter:198050  1031m 33s (- 1960m 46s) completed: 34%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0508  acc: 0.5997  lr: 0.0000 
ep/it:517-  88 niter:198100  1031m 47s (- 1960m 28s) completed: 34%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0494  acc: 0.5928  lr: 0.0000 
ep/it:517- 138 niter:198150  1032m 2s (- 1960m 10s) completed: 34%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0504  acc: 0.5927  lr: 0.0000 
ep/it:517- 188 niter:198200  1032m 17s (- 1959m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0493  acc: 0.5958  lr: 0.0000 
ep/it:517- 238 niter:198250  1032m 31s (- 1959m 35s) completed: 34%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0510  acc: 0.5973  lr: 0.0000 
ep/it:517- 288 niter:198300  1032m 45s (- 1959m 16s) completed: 34%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0498  acc: 0.5959  lr: 0.0000 
ep/it:517- 338 niter:198350  1032m 59s (- 1958m 58s) completed: 34%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0490  acc: 0.6004  lr: 0.0000 
Validation loss:1.576, accuracy:0.569
ep/it:518-   5 niter:198400  1033m 16s (- 1958m 45s) completed: 34%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0498  acc: 0.5960  lr: 0.0000 
ep/it:518-  55 niter:198450  1033m 31s (- 1958m 27s) completed: 34%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0508  acc: 0.5949  lr: 0.0000 
ep/it:518- 105 niter:198500  1033m 45s (- 1958m 9s) completed: 34%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0495  acc: 0.5955  lr: 0.0000 
ep/it:518- 155 niter:198550  1034m 0s (- 1957m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0485  acc: 0.6013  lr: 0.0000 
ep/it:518- 205 niter:198600  1034m 15s (- 1957m 34s) completed: 34%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0501  acc: 0.5967  lr: 0.0000 
ep/it:518- 255 niter:198650  1034m 29s (- 1957m 16s) completed: 34%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0501  acc: 0.6050  lr: 0.0000 
ep/it:518- 305 niter:198700  1034m 44s (- 1956m 59s) completed: 34%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0523  acc: 0.5933  lr: 0.0000 
ep/it:518- 355 niter:198750  1034m 58s (- 1956m 41s) completed: 34%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0504  acc: 0.6012  lr: 0.0000 
Validation loss:1.580, accuracy:0.567
ep/it:519-  22 niter:198800  1035m 15s (- 1956m 28s) completed: 34%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0499  acc: 0.5942  lr: 0.0000 
ep/it:519-  72 niter:198850  1035m 30s (- 1956m 11s) completed: 34%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0498  acc: 0.5973  lr: 0.0000 
ep/it:519- 122 niter:198900  1035m 44s (- 1955m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.4301  loss_TTT: 0.0495  acc: 0.5892  lr: 0.0000 
ep/it:519- 172 niter:198950  1035m 58s (- 1955m 34s) completed: 34%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0515  acc: 0.5989  lr: 0.0000 
ep/it:519- 222 niter:199000  1036m 13s (- 1955m 17s) completed: 34%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0493  acc: 0.6044  lr: 0.0000 
ep/it:519- 272 niter:199050  1036m 28s (- 1955m 0s) completed: 34%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0521  acc: 0.5953  lr: 0.0000 
ep/it:519- 322 niter:199100  1036m 43s (- 1954m 42s) completed: 34%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0491  acc: 0.5982  lr: 0.0000 
ep/it:519- 372 niter:199150  1036m 57s (- 1954m 25s) completed: 34%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0492  acc: 0.5934  lr: 0.0000 
Validation loss:1.620, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.02it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.53s/it]
 68%|██████▊   | 32/47 [01:19<00:37,  2.48s/it]
100%|██████████| 47/47 [01:19<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.28445422369987 avg: 39.28445422369987
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.9641168769449 avg: 39.124285550322384
--> 	 Eva. Repeat 0 :, FID. 0.0809, Diversity Real. 9.6822, Diversity. 9.7755, R_precision_real. [0.53417969 0.70996094 0.80371094], R_precision. [0.51074219 0.703125   0.79296875], matching_score_real. 2.9069, matching_score_pred. 2.9278, skate_ratio. 0.0500, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0674 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0126 (kps_fail_50cm (Loc. err)): 0.0008 (kps_mean_err(m) (Avg. err)): 0.0295 
ep/it:520-  39 niter:199200  1038m 34s (- 1956m 42s) completed: 34%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0488  acc: 0.6018  lr: 0.0000 
ep/it:520-  89 niter:199250  1038m 48s (- 1956m 24s) completed: 34%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0504  acc: 0.5970  lr: 0.0000 
ep/it:520- 139 niter:199300  1039m 3s (- 1956m 6s) completed: 34%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0508  acc: 0.5997  lr: 0.0000 
ep/it:520- 189 niter:199350  1039m 17s (- 1955m 48s) completed: 34%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0488  acc: 0.5905  lr: 0.0000 
ep/it:520- 239 niter:199400  1039m 31s (- 1955m 30s) completed: 34%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0492  acc: 0.5956  lr: 0.0000 
ep/it:520- 289 niter:199450  1039m 46s (- 1955m 12s) completed: 34%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0478  acc: 0.6027  lr: 0.0000 
ep/it:520- 339 niter:199500  1040m 1s (- 1954m 55s) completed: 34%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0492  acc: 0.5974  lr: 0.0000 
Validation loss:1.612, accuracy:0.559
ep/it:521-   6 niter:199550  1040m 18s (- 1954m 43s) completed: 34%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0500  acc: 0.5928  lr: 0.0000 
ep/it:521-  56 niter:199600  1040m 33s (- 1954m 25s) completed: 34%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0504  acc: 0.5924  lr: 0.0000 
ep/it:521- 106 niter:199650  1040m 47s (- 1954m 8s) completed: 34%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0499  acc: 0.5934  lr: 0.0000 
ep/it:521- 156 niter:199700  1041m 2s (- 1953m 50s) completed: 34%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0502  acc: 0.5975  lr: 0.0000 
ep/it:521- 206 niter:199750  1041m 17s (- 1953m 33s) completed: 34%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0487  acc: 0.5947  lr: 0.0000 
ep/it:521- 256 niter:199800  1041m 31s (- 1953m 15s) completed: 34%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0496  acc: 0.5918  lr: 0.0000 
ep/it:521- 306 niter:199850  1041m 45s (- 1952m 56s) completed: 34%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0490  acc: 0.6014  lr: 0.0000 
ep/it:521- 356 niter:199900  1041m 59s (- 1952m 38s) completed: 34%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0510  acc: 0.5968  lr: 0.0000 
Validation loss:1.597, accuracy:0.565
ep/it:522-  23 niter:199950  1042m 16s (- 1952m 25s) completed: 34%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0506  acc: 0.5925  lr: 0.0000 
ep/it:522-  73 niter:200000  1042m 31s (- 1952m 7s) completed: 34%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0486  acc: 0.5974  lr: 0.0000 
ep/it:522- 123 niter:200050  1042m 46s (- 1951m 50s) completed: 34%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0486  acc: 0.5928  lr: 0.0000 
ep/it:522- 173 niter:200100  1043m 0s (- 1951m 32s) completed: 34%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0492  acc: 0.5984  lr: 0.0000 
ep/it:522- 223 niter:200150  1043m 15s (- 1951m 14s) completed: 34%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0476  acc: 0.5988  lr: 0.0000 
ep/it:522- 273 niter:200200  1043m 29s (- 1950m 57s) completed: 34%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0492  acc: 0.5972  lr: 0.0000 
ep/it:522- 323 niter:200250  1043m 44s (- 1950m 39s) completed: 34%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0502  acc: 0.5961  lr: 0.0000 
ep/it:522- 373 niter:200300  1043m 59s (- 1950m 22s) completed: 34%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0511  acc: 0.5974  lr: 0.0000 
Validation loss:1.540, accuracy:0.578
ep/it:523-  40 niter:200350  1044m 15s (- 1950m 8s) completed: 34%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0495  acc: 0.6002  lr: 0.0000 
ep/it:523-  90 niter:200400  1044m 30s (- 1949m 50s) completed: 34%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0490  acc: 0.5992  lr: 0.0000 
ep/it:523- 140 niter:200450  1044m 44s (- 1949m 32s) completed: 34%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0493  acc: 0.5947  lr: 0.0000 
ep/it:523- 190 niter:200500  1044m 58s (- 1949m 14s) completed: 34%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0492  acc: 0.6031  lr: 0.0000 
ep/it:523- 240 niter:200550  1045m 13s (- 1948m 56s) completed: 34%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0504  acc: 0.6022  lr: 0.0000 
ep/it:523- 290 niter:200600  1045m 27s (- 1948m 38s) completed: 34%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0506  acc: 0.5985  lr: 0.0000 
ep/it:523- 340 niter:200650  1045m 41s (- 1948m 19s) completed: 34%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0492  acc: 0.6021  lr: 0.0000 
Validation loss:1.617, accuracy:0.561
ep/it:524-   7 niter:200700  1045m 58s (- 1948m 5s) completed: 34%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0504  acc: 0.5958  lr: 0.0000 
ep/it:524-  57 niter:200750  1046m 12s (- 1947m 47s) completed: 34%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0491  acc: 0.5998  lr: 0.0000 
ep/it:524- 107 niter:200800  1046m 26s (- 1947m 29s) completed: 34%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0504  acc: 0.5960  lr: 0.0000 
ep/it:524- 157 niter:200850  1046m 40s (- 1947m 11s) completed: 34%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0496  acc: 0.5986  lr: 0.0000 
ep/it:524- 207 niter:200900  1046m 54s (- 1946m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0495  acc: 0.5948  lr: 0.0000 
ep/it:524- 257 niter:200950  1047m 8s (- 1946m 33s) completed: 34%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0497  acc: 0.5950  lr: 0.0000 
ep/it:524- 307 niter:201000  1047m 23s (- 1946m 15s) completed: 34%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0501  acc: 0.5956  lr: 0.0000 
ep/it:524- 357 niter:201050  1047m 37s (- 1945m 58s) completed: 34%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0495  acc: 0.5982  lr: 0.0000 
Validation loss:1.568, accuracy:0.570
ep/it:525-  24 niter:201100  1047m 54s (- 1945m 44s) completed: 35%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0518  acc: 0.6027  lr: 0.0000 
ep/it:525-  74 niter:201150  1048m 8s (- 1945m 26s) completed: 35%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0508  acc: 0.5905  lr: 0.0000 
ep/it:525- 124 niter:201200  1048m 23s (- 1945m 8s) completed: 35%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0481  acc: 0.6003  lr: 0.0000 
ep/it:525- 174 niter:201250  1048m 37s (- 1944m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0503  acc: 0.5947  lr: 0.0000 
ep/it:525- 224 niter:201300  1048m 51s (- 1944m 31s) completed: 35%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0494  acc: 0.5955  lr: 0.0000 
ep/it:525- 274 niter:201350  1049m 5s (- 1944m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0512  acc: 0.5947  lr: 0.0000 
ep/it:525- 324 niter:201400  1049m 19s (- 1943m 55s) completed: 35%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0483  acc: 0.5954  lr: 0.0000 
ep/it:525- 374 niter:201450  1049m 33s (- 1943m 35s) completed: 35%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0489  acc: 0.5966  lr: 0.0000 
Validation loss:1.565, accuracy:0.572
ep/it:526-  41 niter:201500  1049m 50s (- 1943m 23s) completed: 35%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0499  acc: 0.5974  lr: 0.0000 
ep/it:526-  91 niter:201550  1050m 5s (- 1943m 6s) completed: 35%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0494  acc: 0.6018  lr: 0.0000 
ep/it:526- 141 niter:201600  1050m 20s (- 1942m 48s) completed: 35%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0509  acc: 0.5892  lr: 0.0000 
ep/it:526- 191 niter:201650  1050m 34s (- 1942m 29s) completed: 35%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0492  acc: 0.5917  lr: 0.0000 
ep/it:526- 241 niter:201700  1050m 48s (- 1942m 12s) completed: 35%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0483  acc: 0.5913  lr: 0.0000 
ep/it:526- 291 niter:201750  1051m 3s (- 1941m 54s) completed: 35%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0509  acc: 0.5903  lr: 0.0000 
ep/it:526- 341 niter:201800  1051m 17s (- 1941m 36s) completed: 35%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0501  acc: 0.5931  lr: 0.0000 
Validation loss:1.602, accuracy:0.561
ep/it:527-   8 niter:201850  1051m 34s (- 1941m 23s) completed: 35%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0496  acc: 0.5996  lr: 0.0000 
ep/it:527-  58 niter:201900  1051m 48s (- 1941m 5s) completed: 35%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0505  acc: 0.5946  lr: 0.0000 
ep/it:527- 108 niter:201950  1052m 2s (- 1940m 46s) completed: 35%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0486  acc: 0.5977  lr: 0.0000 
ep/it:527- 158 niter:202000  1052m 17s (- 1940m 28s) completed: 35%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0517  acc: 0.5985  lr: 0.0000 
ep/it:527- 208 niter:202050  1052m 32s (- 1940m 11s) completed: 35%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0503  acc: 0.5953  lr: 0.0000 
ep/it:527- 258 niter:202100  1052m 46s (- 1939m 53s) completed: 35%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0497  acc: 0.5982  lr: 0.0000 
ep/it:527- 308 niter:202150  1053m 0s (- 1939m 35s) completed: 35%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0487  acc: 0.5951  lr: 0.0000 
ep/it:527- 358 niter:202200  1053m 15s (- 1939m 18s) completed: 35%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0505  acc: 0.5917  lr: 0.0000 
Validation loss:1.594, accuracy:0.566
ep/it:528-  25 niter:202250  1053m 32s (- 1939m 4s) completed: 35%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0484  acc: 0.5929  lr: 0.0000 
ep/it:528-  75 niter:202300  1053m 46s (- 1938m 46s) completed: 35%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0491  acc: 0.5943  lr: 0.0000 
ep/it:528- 125 niter:202350  1054m 0s (- 1938m 27s) completed: 35%) loss_emb: 0.0000  loss: 1.3493  loss_TTT: 0.0485  acc: 0.6099  lr: 0.0000 
ep/it:528- 175 niter:202400  1054m 14s (- 1938m 8s) completed: 35%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0505  acc: 0.5946  lr: 0.0000 
ep/it:528- 225 niter:202450  1054m 28s (- 1937m 51s) completed: 35%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0506  acc: 0.5924  lr: 0.0000 
ep/it:528- 275 niter:202500  1054m 42s (- 1937m 32s) completed: 35%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0486  acc: 0.5968  lr: 0.0000 
ep/it:528- 325 niter:202550  1054m 56s (- 1937m 14s) completed: 35%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0495  acc: 0.6016  lr: 0.0000 
ep/it:528- 375 niter:202600  1055m 11s (- 1936m 56s) completed: 35%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0494  acc: 0.6018  lr: 0.0000 
Validation loss:1.597, accuracy:0.564
ep/it:529-  42 niter:202650  1055m 28s (- 1936m 43s) completed: 35%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0516  acc: 0.5998  lr: 0.0000 
ep/it:529-  92 niter:202700  1055m 42s (- 1936m 24s) completed: 35%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0496  acc: 0.6023  lr: 0.0000 
ep/it:529- 142 niter:202750  1055m 56s (- 1936m 5s) completed: 35%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0492  acc: 0.5959  lr: 0.0000 
ep/it:529- 192 niter:202800  1056m 10s (- 1935m 47s) completed: 35%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0486  acc: 0.5969  lr: 0.0000 
ep/it:529- 242 niter:202850  1056m 24s (- 1935m 29s) completed: 35%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0495  acc: 0.5980  lr: 0.0000 
ep/it:529- 292 niter:202900  1056m 38s (- 1935m 11s) completed: 35%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0497  acc: 0.6004  lr: 0.0000 
ep/it:529- 342 niter:202950  1056m 53s (- 1934m 53s) completed: 35%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0499  acc: 0.5923  lr: 0.0000 
Validation loss:1.590, accuracy:0.563

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.76it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.80663426220417 avg: 38.80663426220417
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.851852633059025 avg: 38.8292434476316
--> 	 Eva. Repeat 0 :, FID. 0.1402, Diversity Real. 9.3939, Diversity. 9.8195, R_precision_real. [0.50097656 0.69628906 0.79589844], R_precision. [0.5078125  0.69824219 0.79882812], matching_score_real. 2.9403, matching_score_pred. 2.9858, skate_ratio. 0.0495, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0635 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0137 (kps_fail_50cm (Loc. err)): 0.0008 (kps_mean_err(m) (Avg. err)): 0.0289 
ep/it:530-   9 niter:203000  1058m 29s (- 1937m 5s) completed: 35%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0489  acc: 0.5946  lr: 0.0000 
ep/it:530-  59 niter:203050  1058m 44s (- 1936m 48s) completed: 35%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0465  acc: 0.5934  lr: 0.0000 
ep/it:530- 109 niter:203100  1058m 59s (- 1936m 31s) completed: 35%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0493  acc: 0.5960  lr: 0.0000 
ep/it:530- 159 niter:203150  1059m 13s (- 1936m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0487  acc: 0.5911  lr: 0.0000 
ep/it:530- 209 niter:203200  1059m 27s (- 1935m 54s) completed: 35%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0506  acc: 0.5922  lr: 0.0000 
ep/it:530- 259 niter:203250  1059m 41s (- 1935m 36s) completed: 35%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0499  acc: 0.6020  lr: 0.0000 
ep/it:530- 309 niter:203300  1059m 55s (- 1935m 17s) completed: 35%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0517  acc: 0.6001  lr: 0.0000 
ep/it:530- 359 niter:203350  1060m 9s (- 1934m 59s) completed: 35%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0500  acc: 0.5999  lr: 0.0000 
Validation loss:1.578, accuracy:0.569
ep/it:531-  26 niter:203400  1060m 26s (- 1934m 45s) completed: 35%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0510  acc: 0.5895  lr: 0.0000 
ep/it:531-  76 niter:203450  1060m 40s (- 1934m 27s) completed: 35%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0499  acc: 0.5927  lr: 0.0000 
ep/it:531- 126 niter:203500  1060m 54s (- 1934m 8s) completed: 35%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0507  acc: 0.5896  lr: 0.0000 
ep/it:531- 176 niter:203550  1061m 9s (- 1933m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0495  acc: 0.6007  lr: 0.0000 
ep/it:531- 226 niter:203600  1061m 23s (- 1933m 32s) completed: 35%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0480  acc: 0.5943  lr: 0.0000 
ep/it:531- 276 niter:203650  1061m 37s (- 1933m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0507  acc: 0.6004  lr: 0.0000 
ep/it:531- 326 niter:203700  1061m 51s (- 1932m 56s) completed: 35%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0495  acc: 0.6046  lr: 0.0000 
ep/it:531- 376 niter:203750  1062m 6s (- 1932m 38s) completed: 35%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0518  acc: 0.5985  lr: 0.0000 
Validation loss:1.532, accuracy:0.579
ep/it:532-  43 niter:203800  1062m 23s (- 1932m 25s) completed: 35%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0493  acc: 0.6026  lr: 0.0000 
ep/it:532-  93 niter:203850  1062m 38s (- 1932m 8s) completed: 35%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0494  acc: 0.5953  lr: 0.0000 
ep/it:532- 143 niter:203900  1062m 52s (- 1931m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0497  acc: 0.6054  lr: 0.0000 
ep/it:532- 193 niter:203950  1063m 6s (- 1931m 32s) completed: 35%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0512  acc: 0.5931  lr: 0.0000 
ep/it:532- 243 niter:204000  1063m 20s (- 1931m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0511  acc: 0.5946  lr: 0.0000 
ep/it:532- 293 niter:204050  1063m 35s (- 1930m 55s) completed: 35%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0499  acc: 0.5947  lr: 0.0000 
ep/it:532- 343 niter:204100  1063m 49s (- 1930m 37s) completed: 35%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0479  acc: 0.5950  lr: 0.0000 
Validation loss:1.575, accuracy:0.567
ep/it:533-  10 niter:204150  1064m 6s (- 1930m 23s) completed: 35%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0481  acc: 0.5946  lr: 0.0000 
ep/it:533-  60 niter:204200  1064m 20s (- 1930m 6s) completed: 35%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0489  acc: 0.5918  lr: 0.0000 
ep/it:533- 110 niter:204250  1064m 35s (- 1929m 48s) completed: 35%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0493  acc: 0.6022  lr: 0.0000 
ep/it:533- 160 niter:204300  1064m 49s (- 1929m 30s) completed: 35%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0481  acc: 0.5988  lr: 0.0000 
ep/it:533- 210 niter:204350  1065m 4s (- 1929m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0492  acc: 0.6040  lr: 0.0000 
ep/it:533- 260 niter:204400  1065m 18s (- 1928m 55s) completed: 35%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0491  acc: 0.5980  lr: 0.0000 
ep/it:533- 310 niter:204450  1065m 32s (- 1928m 37s) completed: 35%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0503  acc: 0.6029  lr: 0.0000 
ep/it:533- 360 niter:204500  1065m 47s (- 1928m 18s) completed: 35%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0481  acc: 0.5923  lr: 0.0000 
Validation loss:1.575, accuracy:0.570
ep/it:534-  27 niter:204550  1066m 4s (- 1928m 6s) completed: 35%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0503  acc: 0.6006  lr: 0.0000 
ep/it:534-  77 niter:204600  1066m 18s (- 1927m 47s) completed: 35%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0485  acc: 0.5959  lr: 0.0000 
ep/it:534- 127 niter:204650  1066m 32s (- 1927m 29s) completed: 35%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0482  acc: 0.5976  lr: 0.0000 
ep/it:534- 177 niter:204700  1066m 47s (- 1927m 11s) completed: 35%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0515  acc: 0.5945  lr: 0.0000 
ep/it:534- 227 niter:204750  1067m 1s (- 1926m 53s) completed: 35%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0499  acc: 0.6022  lr: 0.0000 
ep/it:534- 277 niter:204800  1067m 15s (- 1926m 35s) completed: 35%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0492  acc: 0.5995  lr: 0.0000 
ep/it:534- 327 niter:204850  1067m 30s (- 1926m 18s) completed: 35%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0496  acc: 0.5995  lr: 0.0000 
ep/it:534- 377 niter:204900  1067m 44s (- 1925m 59s) completed: 35%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0488  acc: 0.5983  lr: 0.0000 
Validation loss:1.618, accuracy:0.559
ep/it:535-  44 niter:204950  1068m 2s (- 1925m 47s) completed: 35%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0490  acc: 0.5898  lr: 0.0000 
ep/it:535-  94 niter:205000  1068m 16s (- 1925m 30s) completed: 35%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0481  acc: 0.6027  lr: 0.0000 
ep/it:535- 144 niter:205050  1068m 30s (- 1925m 12s) completed: 35%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0496  acc: 0.5933  lr: 0.0000 
ep/it:535- 194 niter:205100  1068m 44s (- 1924m 53s) completed: 35%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0481  acc: 0.5997  lr: 0.0000 
ep/it:535- 244 niter:205150  1068m 58s (- 1924m 34s) completed: 35%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0507  acc: 0.5971  lr: 0.0000 
ep/it:535- 294 niter:205200  1069m 13s (- 1924m 17s) completed: 35%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0491  acc: 0.5955  lr: 0.0000 
ep/it:535- 344 niter:205250  1069m 27s (- 1923m 59s) completed: 35%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0499  acc: 0.5937  lr: 0.0000 
Validation loss:1.609, accuracy:0.562
ep/it:536-  11 niter:205300  1069m 44s (- 1923m 46s) completed: 35%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0504  acc: 0.5978  lr: 0.0000 
ep/it:536-  61 niter:205350  1069m 59s (- 1923m 28s) completed: 35%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0498  acc: 0.5981  lr: 0.0000 
ep/it:536- 111 niter:205400  1070m 13s (- 1923m 9s) completed: 35%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0491  acc: 0.5992  lr: 0.0000 
ep/it:536- 161 niter:205450  1070m 27s (- 1922m 51s) completed: 35%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0487  acc: 0.5966  lr: 0.0000 
ep/it:536- 211 niter:205500  1070m 42s (- 1922m 34s) completed: 35%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0490  acc: 0.5967  lr: 0.0000 
ep/it:536- 261 niter:205550  1070m 56s (- 1922m 17s) completed: 35%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0493  acc: 0.5951  lr: 0.0000 
ep/it:536- 311 niter:205600  1071m 11s (- 1921m 59s) completed: 35%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0499  acc: 0.5975  lr: 0.0000 
ep/it:536- 361 niter:205650  1071m 25s (- 1921m 41s) completed: 35%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0520  acc: 0.5982  lr: 0.0000 
Validation loss:1.543, accuracy:0.578
ep/it:537-  28 niter:205700  1071m 42s (- 1921m 27s) completed: 35%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0492  acc: 0.5957  lr: 0.0000 
ep/it:537-  78 niter:205750  1071m 56s (- 1921m 9s) completed: 35%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0504  acc: 0.5998  lr: 0.0000 
ep/it:537- 128 niter:205800  1072m 10s (- 1920m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0513  acc: 0.6012  lr: 0.0000 
ep/it:537- 178 niter:205850  1072m 24s (- 1920m 31s) completed: 35%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0498  acc: 0.6037  lr: 0.0000 
ep/it:537- 228 niter:205900  1072m 38s (- 1920m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0487  acc: 0.5957  lr: 0.0000 
ep/it:537- 278 niter:205950  1072m 52s (- 1919m 54s) completed: 35%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0494  acc: 0.5944  lr: 0.0000 
ep/it:537- 328 niter:206000  1073m 6s (- 1919m 36s) completed: 35%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0497  acc: 0.5946  lr: 0.0000 
ep/it:537- 378 niter:206050  1073m 20s (- 1919m 18s) completed: 35%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0486  acc: 0.5946  lr: 0.0000 
Validation loss:1.599, accuracy:0.563
ep/it:538-  45 niter:206100  1073m 37s (- 1919m 4s) completed: 35%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0510  acc: 0.5975  lr: 0.0000 
ep/it:538-  95 niter:206150  1073m 51s (- 1918m 45s) completed: 35%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0492  acc: 0.5995  lr: 0.0000 
ep/it:538- 145 niter:206200  1074m 4s (- 1918m 26s) completed: 35%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0487  acc: 0.5998  lr: 0.0000 
ep/it:538- 195 niter:206250  1074m 18s (- 1918m 8s) completed: 35%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0502  acc: 0.5968  lr: 0.0000 
ep/it:538- 245 niter:206300  1074m 33s (- 1917m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0492  acc: 0.5970  lr: 0.0000 
ep/it:538- 295 niter:206350  1074m 47s (- 1917m 31s) completed: 35%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0490  acc: 0.5971  lr: 0.0000 
ep/it:538- 345 niter:206400  1075m 1s (- 1917m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0480  acc: 0.5929  lr: 0.0000 
Validation loss:1.568, accuracy:0.569
ep/it:539-  12 niter:206450  1075m 17s (- 1916m 59s) completed: 35%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0496  acc: 0.5925  lr: 0.0000 
ep/it:539-  62 niter:206500  1075m 31s (- 1916m 41s) completed: 35%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0502  acc: 0.6000  lr: 0.0000 
ep/it:539- 112 niter:206550  1075m 46s (- 1916m 23s) completed: 35%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0489  acc: 0.5980  lr: 0.0000 
ep/it:539- 162 niter:206600  1076m 0s (- 1916m 5s) completed: 35%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0494  acc: 0.5929  lr: 0.0000 
ep/it:539- 212 niter:206650  1076m 14s (- 1915m 47s) completed: 35%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0493  acc: 0.5966  lr: 0.0000 
ep/it:539- 262 niter:206700  1076m 29s (- 1915m 29s) completed: 35%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0501  acc: 0.5903  lr: 0.0000 
ep/it:539- 312 niter:206750  1076m 43s (- 1915m 11s) completed: 35%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0497  acc: 0.5981  lr: 0.0000 
ep/it:539- 362 niter:206800  1076m 57s (- 1914m 53s) completed: 35%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0493  acc: 0.6001  lr: 0.0000 
Validation loss:1.585, accuracy:0.569

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.79it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.4844704028219 avg: 38.4844704028219
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.75586845446378 avg: 38.62016942864284
--> 	 Eva. Repeat 0 :, FID. 0.1014, Diversity Real. 9.6084, Diversity. 9.5791, R_precision_real. [0.51660156 0.70507812 0.79882812], R_precision. [0.53222656 0.70703125 0.80761719], matching_score_real. 2.9430, matching_score_pred. 2.8875, skate_ratio. 0.0489, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0654 (traj_fail_50cm (Traj err)): 0.0127 (kps_fail_20cm): 0.0123 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0284 
ep/it:540-  29 niter:206850  1078m 33s (- 1916m 59s) completed: 36%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0508  acc: 0.5942  lr: 0.0000 
ep/it:540-  79 niter:206900  1078m 47s (- 1916m 40s) completed: 36%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0491  acc: 0.5970  lr: 0.0000 
ep/it:540- 129 niter:206950  1079m 1s (- 1916m 23s) completed: 36%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0507  acc: 0.5964  lr: 0.0000 
ep/it:540- 179 niter:207000  1079m 15s (- 1916m 5s) completed: 36%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0490  acc: 0.6003  lr: 0.0000 
ep/it:540- 229 niter:207050  1079m 30s (- 1915m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0494  acc: 0.5995  lr: 0.0000 
ep/it:540- 279 niter:207100  1079m 44s (- 1915m 29s) completed: 36%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0513  acc: 0.5961  lr: 0.0000 
ep/it:540- 329 niter:207150  1079m 58s (- 1915m 10s) completed: 36%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0488  acc: 0.5954  lr: 0.0000 
ep/it:540- 379 niter:207200  1080m 12s (- 1914m 52s) completed: 36%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0487  acc: 0.5967  lr: 0.0000 
Validation loss:1.558, accuracy:0.574
ep/it:541-  46 niter:207250  1080m 30s (- 1914m 40s) completed: 36%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0493  acc: 0.5934  lr: 0.0000 
ep/it:541-  96 niter:207300  1080m 44s (- 1914m 22s) completed: 36%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0493  acc: 0.5963  lr: 0.0000 
ep/it:541- 146 niter:207350  1080m 59s (- 1914m 4s) completed: 36%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0495  acc: 0.5929  lr: 0.0000 
ep/it:541- 196 niter:207400  1081m 13s (- 1913m 46s) completed: 36%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0485  acc: 0.6017  lr: 0.0000 
ep/it:541- 246 niter:207450  1081m 27s (- 1913m 28s) completed: 36%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0494  acc: 0.5935  lr: 0.0000 
ep/it:541- 296 niter:207500  1081m 42s (- 1913m 10s) completed: 36%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0492  acc: 0.5979  lr: 0.0000 
ep/it:541- 346 niter:207550  1081m 57s (- 1912m 53s) completed: 36%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0478  acc: 0.6064  lr: 0.0000 
Validation loss:1.576, accuracy:0.569
ep/it:542-  13 niter:207600  1082m 14s (- 1912m 40s) completed: 36%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0488  acc: 0.5929  lr: 0.0000 
ep/it:542-  63 niter:207650  1082m 28s (- 1912m 23s) completed: 36%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0492  acc: 0.5982  lr: 0.0000 
ep/it:542- 113 niter:207700  1082m 43s (- 1912m 6s) completed: 36%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0482  acc: 0.5975  lr: 0.0000 
ep/it:542- 163 niter:207750  1082m 58s (- 1911m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0496  acc: 0.5961  lr: 0.0000 
ep/it:542- 213 niter:207800  1083m 12s (- 1911m 31s) completed: 36%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0482  acc: 0.5930  lr: 0.0000 
ep/it:542- 263 niter:207850  1083m 27s (- 1911m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0506  acc: 0.6010  lr: 0.0000 
ep/it:542- 313 niter:207900  1083m 41s (- 1910m 55s) completed: 36%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0500  acc: 0.5933  lr: 0.0000 
ep/it:542- 363 niter:207950  1083m 56s (- 1910m 37s) completed: 36%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0494  acc: 0.6011  lr: 0.0000 
Validation loss:1.590, accuracy:0.565
ep/it:543-  30 niter:208000  1084m 13s (- 1910m 24s) completed: 36%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0495  acc: 0.5989  lr: 0.0000 
ep/it:543-  80 niter:208050  1084m 27s (- 1910m 6s) completed: 36%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0487  acc: 0.6030  lr: 0.0000 
ep/it:543- 130 niter:208100  1084m 41s (- 1909m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0483  acc: 0.6007  lr: 0.0000 
ep/it:543- 180 niter:208150  1084m 56s (- 1909m 31s) completed: 36%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0508  acc: 0.5960  lr: 0.0000 
ep/it:543- 230 niter:208200  1085m 11s (- 1909m 14s) completed: 36%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0500  acc: 0.5952  lr: 0.0000 
ep/it:543- 280 niter:208250  1085m 25s (- 1908m 56s) completed: 36%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0509  acc: 0.5918  lr: 0.0000 
ep/it:543- 330 niter:208300  1085m 39s (- 1908m 38s) completed: 36%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0501  acc: 0.6029  lr: 0.0000 
ep/it:543- 380 niter:208350  1085m 53s (- 1908m 19s) completed: 36%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0486  acc: 0.6023  lr: 0.0000 
Validation loss:1.579, accuracy:0.569
ep/it:544-  47 niter:208400  1086m 10s (- 1908m 6s) completed: 36%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0495  acc: 0.6001  lr: 0.0000 
ep/it:544-  97 niter:208450  1086m 24s (- 1907m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0483  acc: 0.5946  lr: 0.0000 
ep/it:544- 147 niter:208500  1086m 38s (- 1907m 29s) completed: 36%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0487  acc: 0.5888  lr: 0.0000 
ep/it:544- 197 niter:208550  1086m 53s (- 1907m 12s) completed: 36%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0509  acc: 0.5966  lr: 0.0000 
ep/it:544- 247 niter:208600  1087m 7s (- 1906m 53s) completed: 36%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0486  acc: 0.6013  lr: 0.0000 
ep/it:544- 297 niter:208650  1087m 21s (- 1906m 35s) completed: 36%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0505  acc: 0.5925  lr: 0.0000 
ep/it:544- 347 niter:208700  1087m 35s (- 1906m 16s) completed: 36%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0480  acc: 0.5925  lr: 0.0000 
Validation loss:1.587, accuracy:0.566
ep/it:545-  14 niter:208750  1087m 51s (- 1906m 2s) completed: 36%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0491  acc: 0.5994  lr: 0.0000 
ep/it:545-  64 niter:208800  1088m 6s (- 1905m 44s) completed: 36%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0503  acc: 0.5926  lr: 0.0000 
ep/it:545- 114 niter:208850  1088m 20s (- 1905m 26s) completed: 36%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0502  acc: 0.6011  lr: 0.0000 
ep/it:545- 164 niter:208900  1088m 35s (- 1905m 9s) completed: 36%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0486  acc: 0.6034  lr: 0.0000 
ep/it:545- 214 niter:208950  1088m 49s (- 1904m 51s) completed: 36%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0482  acc: 0.5985  lr: 0.0000 
ep/it:545- 264 niter:209000  1089m 4s (- 1904m 34s) completed: 36%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0505  acc: 0.5993  lr: 0.0000 
ep/it:545- 314 niter:209050  1089m 19s (- 1904m 18s) completed: 36%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0478  acc: 0.5945  lr: 0.0000 
ep/it:545- 364 niter:209100  1089m 34s (- 1904m 0s) completed: 36%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0489  acc: 0.5975  lr: 0.0000 
Validation loss:1.626, accuracy:0.556
ep/it:546-  31 niter:209150  1089m 51s (- 1903m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0508  acc: 0.5899  lr: 0.0000 
ep/it:546-  81 niter:209200  1090m 6s (- 1903m 30s) completed: 36%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0492  acc: 0.6019  lr: 0.0000 
ep/it:546- 131 niter:209250  1090m 20s (- 1903m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0507  acc: 0.5942  lr: 0.0000 
ep/it:546- 181 niter:209300  1090m 35s (- 1902m 55s) completed: 36%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0491  acc: 0.5945  lr: 0.0000 
ep/it:546- 231 niter:209350  1090m 48s (- 1902m 36s) completed: 36%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0493  acc: 0.5998  lr: 0.0000 
ep/it:546- 281 niter:209400  1091m 3s (- 1902m 18s) completed: 36%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0489  acc: 0.5950  lr: 0.0000 
ep/it:546- 331 niter:209450  1091m 18s (- 1902m 1s) completed: 36%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0474  acc: 0.5981  lr: 0.0000 
ep/it:546- 381 niter:209500  1091m 32s (- 1901m 43s) completed: 36%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0490  acc: 0.5998  lr: 0.0000 
Validation loss:1.581, accuracy:0.570
ep/it:547-  48 niter:209550  1091m 50s (- 1901m 31s) completed: 36%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0497  acc: 0.6013  lr: 0.0000 
ep/it:547-  98 niter:209600  1092m 4s (- 1901m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0503  acc: 0.5994  lr: 0.0000 
ep/it:547- 148 niter:209650  1092m 18s (- 1900m 55s) completed: 36%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0511  acc: 0.5971  lr: 0.0000 
ep/it:547- 198 niter:209700  1092m 32s (- 1900m 37s) completed: 36%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0489  acc: 0.5936  lr: 0.0000 
ep/it:547- 248 niter:209750  1092m 47s (- 1900m 20s) completed: 36%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0513  acc: 0.5924  lr: 0.0000 
ep/it:547- 298 niter:209800  1093m 1s (- 1900m 1s) completed: 36%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0490  acc: 0.5901  lr: 0.0000 
ep/it:547- 348 niter:209850  1093m 15s (- 1899m 43s) completed: 36%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0497  acc: 0.6008  lr: 0.0000 
Validation loss:1.593, accuracy:0.564
ep/it:548-  15 niter:209900  1093m 32s (- 1899m 30s) completed: 36%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0479  acc: 0.6046  lr: 0.0000 
ep/it:548-  65 niter:209950  1093m 46s (- 1899m 11s) completed: 36%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0481  acc: 0.6016  lr: 0.0000 
ep/it:548- 115 niter:210000  1094m 0s (- 1898m 52s) completed: 36%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0504  acc: 0.5930  lr: 0.0000 
ep/it:548- 165 niter:210050  1094m 14s (- 1898m 35s) completed: 36%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0489  acc: 0.5994  lr: 0.0000 
ep/it:548- 215 niter:210100  1094m 28s (- 1898m 17s) completed: 36%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0500  acc: 0.5998  lr: 0.0000 
ep/it:548- 265 niter:210150  1094m 43s (- 1897m 58s) completed: 36%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0494  acc: 0.5969  lr: 0.0000 
ep/it:548- 315 niter:210200  1094m 57s (- 1897m 40s) completed: 36%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0487  acc: 0.6018  lr: 0.0000 
ep/it:548- 365 niter:210250  1095m 11s (- 1897m 22s) completed: 36%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0490  acc: 0.5999  lr: 0.0000 
Validation loss:1.561, accuracy:0.572
ep/it:549-  32 niter:210300  1095m 27s (- 1897m 7s) completed: 36%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0501  acc: 0.5967  lr: 0.0000 
ep/it:549-  82 niter:210350  1095m 41s (- 1896m 49s) completed: 36%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0497  acc: 0.5922  lr: 0.0000 
ep/it:549- 132 niter:210400  1095m 56s (- 1896m 31s) completed: 36%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0494  acc: 0.5996  lr: 0.0000 
ep/it:549- 182 niter:210450  1096m 10s (- 1896m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0492  acc: 0.5926  lr: 0.0000 
ep/it:549- 232 niter:210500  1096m 24s (- 1895m 55s) completed: 36%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0478  acc: 0.5967  lr: 0.0000 
ep/it:549- 282 niter:210550  1096m 39s (- 1895m 38s) completed: 36%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0487  acc: 0.5939  lr: 0.0000 
ep/it:549- 332 niter:210600  1096m 52s (- 1895m 19s) completed: 36%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0505  acc: 0.6011  lr: 0.0000 
ep/it:549- 382 niter:210650  1097m 6s (- 1895m 0s) completed: 36%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0489  acc: 0.5999  lr: 0.0000 
Validation loss:1.572, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.80it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.84523828420788 avg: 38.84523828420788
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.49026743322611 avg: 38.667752858716995
--> 	 Eva. Repeat 0 :, FID. 0.1200, Diversity Real. 9.2214, Diversity. 9.3775, R_precision_real. [0.49511719 0.68261719 0.796875  ], R_precision. [0.51757812 0.71484375 0.80859375], matching_score_real. 2.9791, matching_score_pred. 2.9319, skate_ratio. 0.0480, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0518 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0085 (kps_fail_50cm (Loc. err)): 0.0003 (kps_mean_err(m) (Avg. err)): 0.0273 
ep/it:550-  49 niter:210700  1098m 42s (- 1897m 4s) completed: 36%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0502  acc: 0.5974  lr: 0.0000 
ep/it:550-  99 niter:210750  1098m 57s (- 1896m 46s) completed: 36%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0493  acc: 0.5928  lr: 0.0000 
ep/it:550- 149 niter:210800  1099m 11s (- 1896m 28s) completed: 36%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0489  acc: 0.6012  lr: 0.0000 
ep/it:550- 199 niter:210850  1099m 26s (- 1896m 11s) completed: 36%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0482  acc: 0.6016  lr: 0.0000 
ep/it:550- 249 niter:210900  1099m 40s (- 1895m 52s) completed: 36%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0495  acc: 0.6017  lr: 0.0000 
ep/it:550- 299 niter:210950  1099m 54s (- 1895m 34s) completed: 36%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0477  acc: 0.5985  lr: 0.0000 
ep/it:550- 349 niter:211000  1100m 8s (- 1895m 16s) completed: 36%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0500  acc: 0.5992  lr: 0.0000 
Validation loss:1.600, accuracy:0.563
ep/it:551-  16 niter:211050  1100m 26s (- 1895m 3s) completed: 36%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0491  acc: 0.5978  lr: 0.0000 
ep/it:551-  66 niter:211100  1100m 39s (- 1894m 44s) completed: 36%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0517  acc: 0.5957  lr: 0.0000 
ep/it:551- 116 niter:211150  1100m 54s (- 1894m 26s) completed: 36%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0485  acc: 0.5965  lr: 0.0000 
ep/it:551- 166 niter:211200  1101m 8s (- 1894m 8s) completed: 36%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0495  acc: 0.6044  lr: 0.0000 
ep/it:551- 216 niter:211250  1101m 22s (- 1893m 50s) completed: 36%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0468  acc: 0.6010  lr: 0.0000 
ep/it:551- 266 niter:211300  1101m 37s (- 1893m 33s) completed: 36%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0489  acc: 0.5939  lr: 0.0000 
ep/it:551- 316 niter:211350  1101m 51s (- 1893m 15s) completed: 36%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0484  acc: 0.5981  lr: 0.0000 
ep/it:551- 366 niter:211400  1102m 5s (- 1892m 56s) completed: 36%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0489  acc: 0.5909  lr: 0.0000 
Validation loss:1.587, accuracy:0.566
ep/it:552-  33 niter:211450  1102m 22s (- 1892m 42s) completed: 36%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0509  acc: 0.5906  lr: 0.0000 
ep/it:552-  83 niter:211500  1102m 36s (- 1892m 25s) completed: 36%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0496  acc: 0.5970  lr: 0.0000 
ep/it:552- 133 niter:211550  1102m 50s (- 1892m 7s) completed: 36%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0502  acc: 0.5987  lr: 0.0000 
ep/it:552- 183 niter:211600  1103m 5s (- 1891m 50s) completed: 36%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0489  acc: 0.5911  lr: 0.0000 
ep/it:552- 233 niter:211650  1103m 19s (- 1891m 32s) completed: 36%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0484  acc: 0.6016  lr: 0.0000 
ep/it:552- 283 niter:211700  1103m 33s (- 1891m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0493  acc: 0.6016  lr: 0.0000 
ep/it:552- 333 niter:211750  1103m 48s (- 1890m 56s) completed: 36%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0494  acc: 0.5992  lr: 0.0000 
Validation loss:1.588, accuracy:0.566
ep/it:553-   0 niter:211800  1104m 5s (- 1890m 43s) completed: 36%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0486  acc: 0.5901  lr: 0.0000 
ep/it:553-  50 niter:211850  1104m 19s (- 1890m 25s) completed: 36%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0514  acc: 0.5971  lr: 0.0000 
ep/it:553- 100 niter:211900  1104m 33s (- 1890m 6s) completed: 36%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0496  acc: 0.5982  lr: 0.0000 
ep/it:553- 150 niter:211950  1104m 48s (- 1889m 49s) completed: 36%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0478  acc: 0.5941  lr: 0.0000 
ep/it:553- 200 niter:212000  1105m 2s (- 1889m 31s) completed: 36%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0514  acc: 0.5988  lr: 0.0000 
ep/it:553- 250 niter:212050  1105m 17s (- 1889m 14s) completed: 36%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0494  acc: 0.5948  lr: 0.0000 
ep/it:553- 300 niter:212100  1105m 32s (- 1888m 57s) completed: 36%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0501  acc: 0.5979  lr: 0.0000 
ep/it:553- 350 niter:212150  1105m 46s (- 1888m 38s) completed: 36%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0495  acc: 0.5958  lr: 0.0000 
Validation loss:1.556, accuracy:0.574
ep/it:554-  17 niter:212200  1106m 3s (- 1888m 25s) completed: 36%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0486  acc: 0.6004  lr: 0.0000 
ep/it:554-  67 niter:212250  1106m 18s (- 1888m 8s) completed: 36%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0479  acc: 0.5969  lr: 0.0000 
ep/it:554- 117 niter:212300  1106m 32s (- 1887m 51s) completed: 36%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0488  acc: 0.5972  lr: 0.0000 
ep/it:554- 167 niter:212350  1106m 46s (- 1887m 32s) completed: 36%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0497  acc: 0.5927  lr: 0.0000 
ep/it:554- 217 niter:212400  1107m 0s (- 1887m 14s) completed: 36%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0501  acc: 0.5995  lr: 0.0000 
ep/it:554- 267 niter:212450  1107m 15s (- 1886m 56s) completed: 36%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0499  acc: 0.5962  lr: 0.0000 
ep/it:554- 317 niter:212500  1107m 28s (- 1886m 37s) completed: 36%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0495  acc: 0.5979  lr: 0.0000 
ep/it:554- 367 niter:212550  1107m 43s (- 1886m 20s) completed: 36%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0499  acc: 0.5962  lr: 0.0000 
Validation loss:1.605, accuracy:0.561
ep/it:555-  34 niter:212600  1108m 1s (- 1886m 8s) completed: 37%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0484  acc: 0.6042  lr: 0.0000 
ep/it:555-  84 niter:212650  1108m 15s (- 1885m 50s) completed: 37%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0482  acc: 0.6003  lr: 0.0000 
ep/it:555- 134 niter:212700  1108m 30s (- 1885m 32s) completed: 37%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0526  acc: 0.5972  lr: 0.0000 
ep/it:555- 184 niter:212750  1108m 45s (- 1885m 16s) completed: 37%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0491  acc: 0.5927  lr: 0.0000 
ep/it:555- 234 niter:212800  1108m 59s (- 1884m 59s) completed: 37%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0493  acc: 0.6004  lr: 0.0000 
ep/it:555- 284 niter:212850  1109m 14s (- 1884m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0484  acc: 0.5992  lr: 0.0000 
ep/it:555- 334 niter:212900  1109m 28s (- 1884m 23s) completed: 37%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0488  acc: 0.5934  lr: 0.0000 
Validation loss:1.571, accuracy:0.571
ep/it:556-   1 niter:212950  1109m 46s (- 1884m 10s) completed: 37%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0503  acc: 0.5950  lr: 0.0000 
ep/it:556-  51 niter:213000  1110m 0s (- 1883m 52s) completed: 37%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0500  acc: 0.5909  lr: 0.0000 
ep/it:556- 101 niter:213050  1110m 14s (- 1883m 34s) completed: 37%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0478  acc: 0.5910  lr: 0.0000 
ep/it:556- 151 niter:213100  1110m 28s (- 1883m 16s) completed: 37%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0505  acc: 0.5898  lr: 0.0000 
ep/it:556- 201 niter:213150  1110m 42s (- 1882m 57s) completed: 37%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0505  acc: 0.5928  lr: 0.0000 
ep/it:556- 251 niter:213200  1110m 56s (- 1882m 39s) completed: 37%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0506  acc: 0.5911  lr: 0.0000 
ep/it:556- 301 niter:213250  1111m 10s (- 1882m 21s) completed: 37%) loss_emb: 0.0000  loss: 1.3521  loss_TTT: 0.0482  acc: 0.6082  lr: 0.0000 
ep/it:556- 351 niter:213300  1111m 24s (- 1882m 3s) completed: 37%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0467  acc: 0.5965  lr: 0.0000 
Validation loss:1.651, accuracy:0.550
ep/it:557-  18 niter:213350  1111m 41s (- 1881m 49s) completed: 37%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0495  acc: 0.5988  lr: 0.0000 
ep/it:557-  68 niter:213400  1111m 55s (- 1881m 31s) completed: 37%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0490  acc: 0.5989  lr: 0.0000 
ep/it:557- 118 niter:213450  1112m 9s (- 1881m 13s) completed: 37%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0497  acc: 0.5949  lr: 0.0000 
ep/it:557- 168 niter:213500  1112m 24s (- 1880m 56s) completed: 37%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0503  acc: 0.5937  lr: 0.0000 
ep/it:557- 218 niter:213550  1112m 39s (- 1880m 39s) completed: 37%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0487  acc: 0.6041  lr: 0.0000 
ep/it:557- 268 niter:213600  1112m 53s (- 1880m 21s) completed: 37%) loss_emb: 0.0000  loss: 1.4342  loss_TTT: 0.0503  acc: 0.5849  lr: 0.0000 
ep/it:557- 318 niter:213650  1113m 8s (- 1880m 4s) completed: 37%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0496  acc: 0.5990  lr: 0.0000 
ep/it:557- 368 niter:213700  1113m 22s (- 1879m 46s) completed: 37%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0499  acc: 0.5985  lr: 0.0000 
Validation loss:1.618, accuracy:0.559
ep/it:558-  35 niter:213750  1113m 40s (- 1879m 33s) completed: 37%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0498  acc: 0.6012  lr: 0.0000 
ep/it:558-  85 niter:213800  1113m 54s (- 1879m 16s) completed: 37%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0482  acc: 0.5945  lr: 0.0000 
ep/it:558- 135 niter:213850  1114m 9s (- 1878m 59s) completed: 37%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0489  acc: 0.5987  lr: 0.0000 
ep/it:558- 185 niter:213900  1114m 23s (- 1878m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0484  acc: 0.6013  lr: 0.0000 
ep/it:558- 235 niter:213950  1114m 38s (- 1878m 23s) completed: 37%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0511  acc: 0.5955  lr: 0.0000 
ep/it:558- 285 niter:214000  1114m 52s (- 1878m 6s) completed: 37%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0480  acc: 0.6028  lr: 0.0000 
ep/it:558- 335 niter:214050  1115m 7s (- 1877m 49s) completed: 37%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0508  acc: 0.5913  lr: 0.0000 
Validation loss:1.579, accuracy:0.569
ep/it:559-   2 niter:214100  1115m 24s (- 1877m 35s) completed: 37%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0476  acc: 0.6031  lr: 0.0000 
ep/it:559-  52 niter:214150  1115m 38s (- 1877m 17s) completed: 37%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0511  acc: 0.5991  lr: 0.0000 
ep/it:559- 102 niter:214200  1115m 52s (- 1876m 59s) completed: 37%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0477  acc: 0.6009  lr: 0.0000 
ep/it:559- 152 niter:214250  1116m 7s (- 1876m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0478  acc: 0.5941  lr: 0.0000 
ep/it:559- 202 niter:214300  1116m 21s (- 1876m 24s) completed: 37%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0475  acc: 0.6011  lr: 0.0000 
ep/it:559- 252 niter:214350  1116m 36s (- 1876m 7s) completed: 37%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0494  acc: 0.6011  lr: 0.0000 
ep/it:559- 302 niter:214400  1116m 50s (- 1875m 49s) completed: 37%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0492  acc: 0.6009  lr: 0.0000 
ep/it:559- 352 niter:214450  1117m 5s (- 1875m 31s) completed: 37%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0480  acc: 0.5986  lr: 0.0000 
Validation loss:1.610, accuracy:0.559

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.57it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.4176066769287 avg: 38.4176066769287
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.62004442606121 avg: 38.518825551494956
--> 	 Eva. Repeat 0 :, FID. 0.1444, Diversity Real. 9.5334, Diversity. 9.8918, R_precision_real. [0.52734375 0.72460938 0.81054688], R_precision. [0.5234375  0.7109375  0.80566406], matching_score_real. 2.8470, matching_score_pred. 2.9221, skate_ratio. 0.0538, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0119 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0266 
ep/it:560-  19 niter:214500  1118m 41s (- 1877m 31s) completed: 37%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0508  acc: 0.6023  lr: 0.0000 
ep/it:560-  69 niter:214550  1118m 56s (- 1877m 14s) completed: 37%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0482  acc: 0.5950  lr: 0.0000 
ep/it:560- 119 niter:214600  1119m 10s (- 1876m 56s) completed: 37%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0511  acc: 0.5949  lr: 0.0000 
ep/it:560- 169 niter:214650  1119m 25s (- 1876m 39s) completed: 37%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0494  acc: 0.5975  lr: 0.0000 
ep/it:560- 219 niter:214700  1119m 39s (- 1876m 20s) completed: 37%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0479  acc: 0.6003  lr: 0.0000 
ep/it:560- 269 niter:214750  1119m 53s (- 1876m 2s) completed: 37%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0505  acc: 0.6021  lr: 0.0000 
ep/it:560- 319 niter:214800  1120m 7s (- 1875m 44s) completed: 37%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0501  acc: 0.5980  lr: 0.0000 
ep/it:560- 369 niter:214850  1120m 21s (- 1875m 26s) completed: 37%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0483  acc: 0.5996  lr: 0.0000 
Validation loss:1.603, accuracy:0.561
ep/it:561-  36 niter:214900  1120m 38s (- 1875m 12s) completed: 37%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0503  acc: 0.6024  lr: 0.0000 
ep/it:561-  86 niter:214950  1120m 52s (- 1874m 54s) completed: 37%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0481  acc: 0.5937  lr: 0.0000 
ep/it:561- 136 niter:215000  1121m 6s (- 1874m 36s) completed: 37%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0468  acc: 0.6037  lr: 0.0000 
ep/it:561- 186 niter:215050  1121m 21s (- 1874m 18s) completed: 37%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0506  acc: 0.5979  lr: 0.0000 
ep/it:561- 236 niter:215100  1121m 35s (- 1874m 0s) completed: 37%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0485  acc: 0.6002  lr: 0.0000 
ep/it:561- 286 niter:215150  1121m 50s (- 1873m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0495  acc: 0.5927  lr: 0.0000 
ep/it:561- 336 niter:215200  1122m 4s (- 1873m 25s) completed: 37%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0520  acc: 0.5916  lr: 0.0000 
Validation loss:1.578, accuracy:0.568
ep/it:562-   3 niter:215250  1122m 21s (- 1873m 12s) completed: 37%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0488  acc: 0.5939  lr: 0.0000 
ep/it:562-  53 niter:215300  1122m 35s (- 1872m 54s) completed: 37%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0489  acc: 0.6024  lr: 0.0000 
ep/it:562- 103 niter:215350  1122m 49s (- 1872m 36s) completed: 37%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0486  acc: 0.5958  lr: 0.0000 
ep/it:562- 153 niter:215400  1123m 4s (- 1872m 18s) completed: 37%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0485  acc: 0.5985  lr: 0.0000 
ep/it:562- 203 niter:215450  1123m 18s (- 1872m 0s) completed: 37%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0509  acc: 0.5977  lr: 0.0000 
ep/it:562- 253 niter:215500  1123m 32s (- 1871m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0506  acc: 0.5953  lr: 0.0000 
ep/it:562- 303 niter:215550  1123m 46s (- 1871m 24s) completed: 37%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0490  acc: 0.6010  lr: 0.0000 
ep/it:562- 353 niter:215600  1124m 0s (- 1871m 5s) completed: 37%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0478  acc: 0.5997  lr: 0.0000 
Validation loss:1.643, accuracy:0.554
ep/it:563-  20 niter:215650  1124m 17s (- 1870m 51s) completed: 37%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0497  acc: 0.5925  lr: 0.0000 
ep/it:563-  70 niter:215700  1124m 31s (- 1870m 33s) completed: 37%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0490  acc: 0.5969  lr: 0.0000 
ep/it:563- 120 niter:215750  1124m 45s (- 1870m 15s) completed: 37%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0480  acc: 0.5904  lr: 0.0000 
ep/it:563- 170 niter:215800  1124m 59s (- 1869m 56s) completed: 37%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0486  acc: 0.5928  lr: 0.0000 
ep/it:563- 220 niter:215850  1125m 14s (- 1869m 39s) completed: 37%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0484  acc: 0.6006  lr: 0.0000 
ep/it:563- 270 niter:215900  1125m 28s (- 1869m 22s) completed: 37%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0487  acc: 0.5981  lr: 0.0000 
ep/it:563- 320 niter:215950  1125m 42s (- 1869m 4s) completed: 37%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0506  acc: 0.6048  lr: 0.0000 
ep/it:563- 370 niter:216000  1125m 57s (- 1868m 47s) completed: 37%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0491  acc: 0.5925  lr: 0.0000 
Validation loss:1.607, accuracy:0.562
ep/it:564-  37 niter:216050  1126m 15s (- 1868m 34s) completed: 37%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0499  acc: 0.5987  lr: 0.0000 
ep/it:564-  87 niter:216100  1126m 29s (- 1868m 15s) completed: 37%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0479  acc: 0.5945  lr: 0.0000 
ep/it:564- 137 niter:216150  1126m 42s (- 1867m 57s) completed: 37%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0485  acc: 0.5967  lr: 0.0000 
ep/it:564- 187 niter:216200  1126m 56s (- 1867m 38s) completed: 37%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0504  acc: 0.5942  lr: 0.0000 
ep/it:564- 237 niter:216250  1127m 10s (- 1867m 20s) completed: 37%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0504  acc: 0.5944  lr: 0.0000 
ep/it:564- 287 niter:216300  1127m 24s (- 1867m 1s) completed: 37%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0487  acc: 0.5971  lr: 0.0000 
ep/it:564- 337 niter:216350  1127m 38s (- 1866m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0485  acc: 0.5952  lr: 0.0000 
Validation loss:1.579, accuracy:0.568
ep/it:565-   4 niter:216400  1127m 55s (- 1866m 29s) completed: 37%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0492  acc: 0.5932  lr: 0.0000 
ep/it:565-  54 niter:216450  1128m 9s (- 1866m 11s) completed: 37%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0496  acc: 0.5959  lr: 0.0000 
ep/it:565- 104 niter:216500  1128m 23s (- 1865m 53s) completed: 37%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0475  acc: 0.6047  lr: 0.0000 
ep/it:565- 154 niter:216550  1128m 38s (- 1865m 35s) completed: 37%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0487  acc: 0.5966  lr: 0.0000 
ep/it:565- 204 niter:216600  1128m 52s (- 1865m 18s) completed: 37%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0504  acc: 0.5987  lr: 0.0000 
ep/it:565- 254 niter:216650  1129m 7s (- 1865m 1s) completed: 37%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0472  acc: 0.5961  lr: 0.0000 
ep/it:565- 304 niter:216700  1129m 21s (- 1864m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0506  acc: 0.5955  lr: 0.0000 
ep/it:565- 354 niter:216750  1129m 36s (- 1864m 25s) completed: 37%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0492  acc: 0.5939  lr: 0.0000 
Validation loss:1.560, accuracy:0.573
ep/it:566-  21 niter:216800  1129m 53s (- 1864m 12s) completed: 37%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0498  acc: 0.5942  lr: 0.0000 
ep/it:566-  71 niter:216850  1130m 7s (- 1863m 55s) completed: 37%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0502  acc: 0.6008  lr: 0.0000 
ep/it:566- 121 niter:216900  1130m 22s (- 1863m 37s) completed: 37%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0494  acc: 0.5991  lr: 0.0000 
ep/it:566- 171 niter:216950  1130m 36s (- 1863m 20s) completed: 37%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0489  acc: 0.5947  lr: 0.0000 
ep/it:566- 221 niter:217000  1130m 51s (- 1863m 2s) completed: 37%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0494  acc: 0.5968  lr: 0.0000 
ep/it:566- 271 niter:217050  1131m 6s (- 1862m 46s) completed: 37%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0478  acc: 0.5951  lr: 0.0000 
ep/it:566- 321 niter:217100  1131m 21s (- 1862m 29s) completed: 37%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0497  acc: 0.5994  lr: 0.0000 
ep/it:566- 371 niter:217150  1131m 35s (- 1862m 12s) completed: 37%) loss_emb: 0.0000  loss: 1.4288  loss_TTT: 0.0497  acc: 0.5872  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:567-  38 niter:217200  1131m 52s (- 1861m 58s) completed: 37%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0484  acc: 0.6000  lr: 0.0000 
ep/it:567-  88 niter:217250  1132m 6s (- 1861m 39s) completed: 37%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0489  acc: 0.5955  lr: 0.0000 
ep/it:567- 138 niter:217300  1132m 20s (- 1861m 21s) completed: 37%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0486  acc: 0.5928  lr: 0.0000 
ep/it:567- 188 niter:217350  1132m 35s (- 1861m 3s) completed: 37%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0480  acc: 0.5932  lr: 0.0000 
ep/it:567- 238 niter:217400  1132m 48s (- 1860m 45s) completed: 37%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0498  acc: 0.5960  lr: 0.0000 
ep/it:567- 288 niter:217450  1133m 3s (- 1860m 27s) completed: 37%) loss_emb: 0.0000  loss: 1.4361  loss_TTT: 0.0499  acc: 0.5855  lr: 0.0000 
ep/it:567- 338 niter:217500  1133m 17s (- 1860m 10s) completed: 37%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0489  acc: 0.5968  lr: 0.0000 
Validation loss:1.603, accuracy:0.562
ep/it:568-   5 niter:217550  1133m 35s (- 1859m 57s) completed: 37%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0506  acc: 0.5974  lr: 0.0000 
ep/it:568-  55 niter:217600  1133m 49s (- 1859m 39s) completed: 37%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0485  acc: 0.6014  lr: 0.0000 
ep/it:568- 105 niter:217650  1134m 4s (- 1859m 22s) completed: 37%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0490  acc: 0.6006  lr: 0.0000 
ep/it:568- 155 niter:217700  1134m 18s (- 1859m 4s) completed: 37%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0507  acc: 0.5963  lr: 0.0000 
ep/it:568- 205 niter:217750  1134m 32s (- 1858m 46s) completed: 37%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0480  acc: 0.5946  lr: 0.0000 
ep/it:568- 255 niter:217800  1134m 46s (- 1858m 27s) completed: 37%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0506  acc: 0.6024  lr: 0.0000 
ep/it:568- 305 niter:217850  1135m 0s (- 1858m 9s) completed: 37%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0477  acc: 0.6031  lr: 0.0000 
ep/it:568- 355 niter:217900  1135m 14s (- 1857m 52s) completed: 37%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0494  acc: 0.5972  lr: 0.0000 
Validation loss:1.590, accuracy:0.564
ep/it:569-  22 niter:217950  1135m 31s (- 1857m 38s) completed: 37%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0486  acc: 0.5959  lr: 0.0000 
ep/it:569-  72 niter:218000  1135m 46s (- 1857m 20s) completed: 37%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0475  acc: 0.5953  lr: 0.0000 
ep/it:569- 122 niter:218050  1136m 0s (- 1857m 3s) completed: 37%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0487  acc: 0.5990  lr: 0.0000 
ep/it:569- 172 niter:218100  1136m 15s (- 1856m 46s) completed: 37%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0483  acc: 0.5924  lr: 0.0000 
ep/it:569- 222 niter:218150  1136m 29s (- 1856m 28s) completed: 37%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0484  acc: 0.5926  lr: 0.0000 
ep/it:569- 272 niter:218200  1136m 44s (- 1856m 11s) completed: 37%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0495  acc: 0.5983  lr: 0.0000 
ep/it:569- 322 niter:218250  1136m 59s (- 1855m 54s) completed: 37%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0493  acc: 0.5951  lr: 0.0000 
ep/it:569- 372 niter:218300  1137m 13s (- 1855m 37s) completed: 37%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0505  acc: 0.6012  lr: 0.0000 
Validation loss:1.620, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.72it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.733902850188315 avg: 38.733902850188315
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.60568101145327 avg: 38.66979193082079
--> 	 Eva. Repeat 0 :, FID. 0.0819, Diversity Real. 9.6965, Diversity. 9.3391, R_precision_real. [0.52246094 0.71777344 0.8203125 ], R_precision. [0.55273438 0.74902344 0.83398438], matching_score_real. 2.8926, matching_score_pred. 2.8606, skate_ratio. 0.0508, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0100 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0278 
ep/it:570-  39 niter:218350  1138m 49s (- 1857m 32s) completed: 38%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0497  acc: 0.5988  lr: 0.0000 
ep/it:570-  89 niter:218400  1139m 3s (- 1857m 13s) completed: 38%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0499  acc: 0.5996  lr: 0.0000 
ep/it:570- 139 niter:218450  1139m 17s (- 1856m 56s) completed: 38%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0500  acc: 0.5991  lr: 0.0000 
ep/it:570- 189 niter:218500  1139m 31s (- 1856m 37s) completed: 38%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0481  acc: 0.6000  lr: 0.0000 
ep/it:570- 239 niter:218550  1139m 46s (- 1856m 20s) completed: 38%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0480  acc: 0.5939  lr: 0.0000 
ep/it:570- 289 niter:218600  1140m 0s (- 1856m 2s) completed: 38%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0483  acc: 0.5971  lr: 0.0000 
ep/it:570- 339 niter:218650  1140m 15s (- 1855m 44s) completed: 38%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0477  acc: 0.5973  lr: 0.0000 
Validation loss:1.571, accuracy:0.569
ep/it:571-   6 niter:218700  1140m 32s (- 1855m 31s) completed: 38%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0512  acc: 0.5966  lr: 0.0000 
ep/it:571-  56 niter:218750  1140m 46s (- 1855m 13s) completed: 38%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0476  acc: 0.5977  lr: 0.0000 
ep/it:571- 106 niter:218800  1141m 0s (- 1854m 54s) completed: 38%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0492  acc: 0.6002  lr: 0.0000 
ep/it:571- 156 niter:218850  1141m 14s (- 1854m 36s) completed: 38%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0503  acc: 0.5933  lr: 0.0000 
ep/it:571- 206 niter:218900  1141m 28s (- 1854m 18s) completed: 38%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0478  acc: 0.5950  lr: 0.0000 
ep/it:571- 256 niter:218950  1141m 42s (- 1854m 0s) completed: 38%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0495  acc: 0.5930  lr: 0.0000 
ep/it:571- 306 niter:219000  1141m 57s (- 1853m 43s) completed: 38%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0490  acc: 0.6026  lr: 0.0000 
ep/it:571- 356 niter:219050  1142m 12s (- 1853m 27s) completed: 38%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0499  acc: 0.5985  lr: 0.0000 
Validation loss:1.597, accuracy:0.562
ep/it:572-  23 niter:219100  1142m 29s (- 1853m 13s) completed: 38%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0488  acc: 0.5950  lr: 0.0000 
ep/it:572-  73 niter:219150  1142m 43s (- 1852m 55s) completed: 38%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0498  acc: 0.5949  lr: 0.0000 
ep/it:572- 123 niter:219200  1142m 57s (- 1852m 37s) completed: 38%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0485  acc: 0.6017  lr: 0.0000 
ep/it:572- 173 niter:219250  1143m 11s (- 1852m 19s) completed: 38%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0480  acc: 0.5990  lr: 0.0000 
ep/it:572- 223 niter:219300  1143m 26s (- 1852m 1s) completed: 38%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0489  acc: 0.6013  lr: 0.0000 
ep/it:572- 273 niter:219350  1143m 40s (- 1851m 43s) completed: 38%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0480  acc: 0.5985  lr: 0.0000 
ep/it:572- 323 niter:219400  1143m 54s (- 1851m 25s) completed: 38%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0489  acc: 0.5997  lr: 0.0000 
ep/it:572- 373 niter:219450  1144m 8s (- 1851m 7s) completed: 38%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0479  acc: 0.5992  lr: 0.0000 
Validation loss:1.573, accuracy:0.570
ep/it:573-  40 niter:219500  1144m 25s (- 1850m 53s) completed: 38%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0506  acc: 0.6029  lr: 0.0000 
ep/it:573-  90 niter:219550  1144m 39s (- 1850m 35s) completed: 38%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0478  acc: 0.6020  lr: 0.0000 
ep/it:573- 140 niter:219600  1144m 53s (- 1850m 17s) completed: 38%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0489  acc: 0.5982  lr: 0.0000 
ep/it:573- 190 niter:219650  1145m 7s (- 1849m 59s) completed: 38%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0500  acc: 0.6063  lr: 0.0000 
ep/it:573- 240 niter:219700  1145m 22s (- 1849m 41s) completed: 38%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0493  acc: 0.5987  lr: 0.0000 
ep/it:573- 290 niter:219750  1145m 36s (- 1849m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0490  acc: 0.6011  lr: 0.0000 
ep/it:573- 340 niter:219800  1145m 50s (- 1849m 5s) completed: 38%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0502  acc: 0.5918  lr: 0.0000 
Validation loss:1.610, accuracy:0.561
ep/it:574-   7 niter:219850  1146m 7s (- 1848m 51s) completed: 38%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0498  acc: 0.5941  lr: 0.0000 
ep/it:574-  57 niter:219900  1146m 22s (- 1848m 34s) completed: 38%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0499  acc: 0.5956  lr: 0.0000 
ep/it:574- 107 niter:219950  1146m 36s (- 1848m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0487  acc: 0.6020  lr: 0.0000 
ep/it:574- 157 niter:220000  1146m 50s (- 1847m 59s) completed: 38%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0490  acc: 0.5983  lr: 0.0000 
ep/it:574- 207 niter:220050  1147m 5s (- 1847m 42s) completed: 38%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0489  acc: 0.5946  lr: 0.0000 
ep/it:574- 257 niter:220100  1147m 19s (- 1847m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0475  acc: 0.5947  lr: 0.0000 
ep/it:574- 307 niter:220150  1147m 33s (- 1847m 5s) completed: 38%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0473  acc: 0.5971  lr: 0.0000 
ep/it:574- 357 niter:220200  1147m 47s (- 1846m 47s) completed: 38%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0501  acc: 0.5968  lr: 0.0000 
Validation loss:1.555, accuracy:0.574
ep/it:575-  24 niter:220250  1148m 4s (- 1846m 33s) completed: 38%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0493  acc: 0.5964  lr: 0.0000 
ep/it:575-  74 niter:220300  1148m 18s (- 1846m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0486  acc: 0.6011  lr: 0.0000 
ep/it:575- 124 niter:220350  1148m 33s (- 1845m 58s) completed: 38%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0493  acc: 0.6023  lr: 0.0000 
ep/it:575- 174 niter:220400  1148m 47s (- 1845m 40s) completed: 38%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0495  acc: 0.5990  lr: 0.0000 
ep/it:575- 224 niter:220450  1149m 1s (- 1845m 22s) completed: 38%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0476  acc: 0.5943  lr: 0.0000 
ep/it:575- 274 niter:220500  1149m 16s (- 1845m 5s) completed: 38%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0488  acc: 0.5948  lr: 0.0000 
ep/it:575- 324 niter:220550  1149m 31s (- 1844m 48s) completed: 38%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0489  acc: 0.6006  lr: 0.0000 
ep/it:575- 374 niter:220600  1149m 45s (- 1844m 31s) completed: 38%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0481  acc: 0.6016  lr: 0.0000 
Validation loss:1.627, accuracy:0.555
ep/it:576-  41 niter:220650  1150m 2s (- 1844m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0495  acc: 0.6080  lr: 0.0000 
ep/it:576-  91 niter:220700  1150m 16s (- 1843m 58s) completed: 38%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0484  acc: 0.6032  lr: 0.0000 
ep/it:576- 141 niter:220750  1150m 30s (- 1843m 41s) completed: 38%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0493  acc: 0.6008  lr: 0.0000 
ep/it:576- 191 niter:220800  1150m 44s (- 1843m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0493  acc: 0.6028  lr: 0.0000 
ep/it:576- 241 niter:220850  1150m 58s (- 1843m 4s) completed: 38%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0490  acc: 0.5952  lr: 0.0000 
ep/it:576- 291 niter:220900  1151m 12s (- 1842m 46s) completed: 38%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0471  acc: 0.6032  lr: 0.0000 
ep/it:576- 341 niter:220950  1151m 26s (- 1842m 27s) completed: 38%) loss_emb: 0.0000  loss: 1.4245  loss_TTT: 0.0508  acc: 0.5900  lr: 0.0000 
Validation loss:1.613, accuracy:0.560
ep/it:577-   8 niter:221000  1151m 43s (- 1842m 13s) completed: 38%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0519  acc: 0.6011  lr: 0.0000 
ep/it:577-  58 niter:221050  1151m 57s (- 1841m 56s) completed: 38%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0477  acc: 0.5981  lr: 0.0000 
ep/it:577- 108 niter:221100  1152m 11s (- 1841m 38s) completed: 38%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0482  acc: 0.5976  lr: 0.0000 
ep/it:577- 158 niter:221150  1152m 25s (- 1841m 20s) completed: 38%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0504  acc: 0.5990  lr: 0.0000 
ep/it:577- 208 niter:221200  1152m 40s (- 1841m 2s) completed: 38%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0491  acc: 0.6027  lr: 0.0000 
ep/it:577- 258 niter:221250  1152m 55s (- 1840m 45s) completed: 38%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0516  acc: 0.5876  lr: 0.0000 
ep/it:577- 308 niter:221300  1153m 9s (- 1840m 27s) completed: 38%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0489  acc: 0.5961  lr: 0.0000 
ep/it:577- 358 niter:221350  1153m 23s (- 1840m 9s) completed: 38%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0474  acc: 0.5990  lr: 0.0000 
Validation loss:1.604, accuracy:0.560
ep/it:578-  25 niter:221400  1153m 40s (- 1839m 55s) completed: 38%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0492  acc: 0.5900  lr: 0.0000 
ep/it:578-  75 niter:221450  1153m 54s (- 1839m 38s) completed: 38%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0490  acc: 0.5998  lr: 0.0000 
ep/it:578- 125 niter:221500  1154m 9s (- 1839m 21s) completed: 38%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0495  acc: 0.5979  lr: 0.0000 
ep/it:578- 175 niter:221550  1154m 24s (- 1839m 4s) completed: 38%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0517  acc: 0.5960  lr: 0.0000 
ep/it:578- 225 niter:221600  1154m 38s (- 1838m 46s) completed: 38%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0485  acc: 0.5997  lr: 0.0000 
ep/it:578- 275 niter:221650  1154m 53s (- 1838m 29s) completed: 38%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0497  acc: 0.6005  lr: 0.0000 
ep/it:578- 325 niter:221700  1155m 7s (- 1838m 12s) completed: 38%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0487  acc: 0.5922  lr: 0.0000 
ep/it:578- 375 niter:221750  1155m 22s (- 1837m 55s) completed: 38%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0485  acc: 0.5946  lr: 0.0000 
Validation loss:1.581, accuracy:0.569
ep/it:579-  42 niter:221800  1155m 39s (- 1837m 41s) completed: 38%) loss_emb: 0.0000  loss: 1.4156  loss_TTT: 0.0507  acc: 0.5928  lr: 0.0000 
ep/it:579-  92 niter:221850  1155m 53s (- 1837m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0467  acc: 0.6042  lr: 0.0000 
ep/it:579- 142 niter:221900  1156m 7s (- 1837m 5s) completed: 38%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0466  acc: 0.6019  lr: 0.0000 
ep/it:579- 192 niter:221950  1156m 21s (- 1836m 47s) completed: 38%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0491  acc: 0.5984  lr: 0.0000 
ep/it:579- 242 niter:222000  1156m 36s (- 1836m 29s) completed: 38%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0499  acc: 0.5941  lr: 0.0000 
ep/it:579- 292 niter:222050  1156m 50s (- 1836m 12s) completed: 38%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0495  acc: 0.5900  lr: 0.0000 
ep/it:579- 342 niter:222100  1157m 4s (- 1835m 54s) completed: 38%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0499  acc: 0.5899  lr: 0.0000 
Validation loss:1.553, accuracy:0.573

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.63it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.74590368755162 avg: 38.74590368755162
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.45874587725848 avg: 38.60232478240505
--> 	 Eva. Repeat 0 :, FID. 0.0993, Diversity Real. 9.6819, Diversity. 9.7412, R_precision_real. [0.515625   0.71484375 0.81347656], R_precision. [0.51367188 0.71777344 0.82714844], matching_score_real. 2.8823, matching_score_pred. 2.9233, skate_ratio. 0.0458, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0518 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0076 (kps_fail_50cm (Loc. err)): 0.0013 (kps_mean_err(m) (Avg. err)): 0.0268 
ep/it:580-   9 niter:222150  1158m 40s (- 1837m 45s) completed: 38%) loss_emb: 0.0000  loss: 1.3468  loss_TTT: 0.0493  acc: 0.6111  lr: 0.0000 
ep/it:580-  59 niter:222200  1158m 55s (- 1837m 28s) completed: 38%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0497  acc: 0.6000  lr: 0.0000 
ep/it:580- 109 niter:222250  1159m 9s (- 1837m 10s) completed: 38%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0479  acc: 0.5991  lr: 0.0000 
ep/it:580- 159 niter:222300  1159m 23s (- 1836m 53s) completed: 38%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0485  acc: 0.6000  lr: 0.0000 
ep/it:580- 209 niter:222350  1159m 38s (- 1836m 35s) completed: 38%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0484  acc: 0.5990  lr: 0.0000 
ep/it:580- 259 niter:222400  1159m 53s (- 1836m 18s) completed: 38%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0486  acc: 0.5976  lr: 0.0000 
ep/it:580- 309 niter:222450  1160m 7s (- 1836m 0s) completed: 38%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0480  acc: 0.6043  lr: 0.0000 
ep/it:580- 359 niter:222500  1160m 21s (- 1835m 42s) completed: 38%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0469  acc: 0.5975  lr: 0.0000 
Validation loss:1.617, accuracy:0.558
ep/it:581-  26 niter:222550  1160m 38s (- 1835m 29s) completed: 38%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0493  acc: 0.5954  lr: 0.0000 
ep/it:581-  76 niter:222600  1160m 52s (- 1835m 11s) completed: 38%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0481  acc: 0.5998  lr: 0.0000 
ep/it:581- 126 niter:222650  1161m 6s (- 1834m 53s) completed: 38%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0505  acc: 0.5999  lr: 0.0000 
ep/it:581- 176 niter:222700  1161m 20s (- 1834m 35s) completed: 38%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0487  acc: 0.5985  lr: 0.0000 
ep/it:581- 226 niter:222750  1161m 34s (- 1834m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0492  acc: 0.6032  lr: 0.0000 
ep/it:581- 276 niter:222800  1161m 48s (- 1833m 58s) completed: 38%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0500  acc: 0.5914  lr: 0.0000 
ep/it:581- 326 niter:222850  1162m 2s (- 1833m 40s) completed: 38%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0490  acc: 0.5882  lr: 0.0000 
ep/it:581- 376 niter:222900  1162m 16s (- 1833m 21s) completed: 38%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0470  acc: 0.5947  lr: 0.0000 
Validation loss:1.587, accuracy:0.564
ep/it:582-  43 niter:222950  1162m 33s (- 1833m 8s) completed: 38%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0478  acc: 0.5881  lr: 0.0000 
ep/it:582-  93 niter:223000  1162m 48s (- 1832m 51s) completed: 38%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0475  acc: 0.6009  lr: 0.0000 
ep/it:582- 143 niter:223050  1163m 3s (- 1832m 34s) completed: 38%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0507  acc: 0.5973  lr: 0.0000 
ep/it:582- 193 niter:223100  1163m 17s (- 1832m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0492  acc: 0.5944  lr: 0.0000 
ep/it:582- 243 niter:223150  1163m 31s (- 1831m 59s) completed: 38%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0485  acc: 0.5999  lr: 0.0000 
ep/it:582- 293 niter:223200  1163m 45s (- 1831m 40s) completed: 38%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0482  acc: 0.5974  lr: 0.0000 
ep/it:582- 343 niter:223250  1163m 59s (- 1831m 22s) completed: 38%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0490  acc: 0.6038  lr: 0.0000 
Validation loss:1.569, accuracy:0.572
ep/it:583-  10 niter:223300  1164m 16s (- 1831m 8s) completed: 38%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0492  acc: 0.5970  lr: 0.0000 
ep/it:583-  60 niter:223350  1164m 30s (- 1830m 50s) completed: 38%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0469  acc: 0.5986  lr: 0.0000 
ep/it:583- 110 niter:223400  1164m 44s (- 1830m 32s) completed: 38%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0501  acc: 0.5897  lr: 0.0000 
ep/it:583- 160 niter:223450  1164m 58s (- 1830m 14s) completed: 38%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0483  acc: 0.6040  lr: 0.0000 
ep/it:583- 210 niter:223500  1165m 13s (- 1829m 57s) completed: 38%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0500  acc: 0.6013  lr: 0.0000 
ep/it:583- 260 niter:223550  1165m 28s (- 1829m 40s) completed: 38%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0498  acc: 0.5966  lr: 0.0000 
ep/it:583- 310 niter:223600  1165m 42s (- 1829m 22s) completed: 38%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0501  acc: 0.5946  lr: 0.0000 
ep/it:583- 360 niter:223650  1165m 56s (- 1829m 4s) completed: 38%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0482  acc: 0.5991  lr: 0.0000 
Validation loss:1.564, accuracy:0.571
ep/it:584-  27 niter:223700  1166m 13s (- 1828m 50s) completed: 38%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0487  acc: 0.5910  lr: 0.0000 
ep/it:584-  77 niter:223750  1166m 28s (- 1828m 33s) completed: 38%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0499  acc: 0.6059  lr: 0.0000 
ep/it:584- 127 niter:223800  1166m 42s (- 1828m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0484  acc: 0.5986  lr: 0.0000 
ep/it:584- 177 niter:223850  1166m 57s (- 1827m 58s) completed: 38%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0497  acc: 0.5952  lr: 0.0000 
ep/it:584- 227 niter:223900  1167m 11s (- 1827m 41s) completed: 38%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0486  acc: 0.6032  lr: 0.0000 
ep/it:584- 277 niter:223950  1167m 26s (- 1827m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0470  acc: 0.5952  lr: 0.0000 
ep/it:584- 327 niter:224000  1167m 41s (- 1827m 7s) completed: 38%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0486  acc: 0.5937  lr: 0.0000 
ep/it:584- 377 niter:224050  1167m 56s (- 1826m 50s) completed: 38%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0481  acc: 0.5945  lr: 0.0000 
Validation loss:1.563, accuracy:0.572
ep/it:585-  44 niter:224100  1168m 13s (- 1826m 37s) completed: 39%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0496  acc: 0.5974  lr: 0.0000 
ep/it:585-  94 niter:224150  1168m 27s (- 1826m 19s) completed: 39%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0483  acc: 0.6000  lr: 0.0000 
ep/it:585- 144 niter:224200  1168m 41s (- 1826m 1s) completed: 39%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0493  acc: 0.5953  lr: 0.0000 
ep/it:585- 194 niter:224250  1168m 55s (- 1825m 43s) completed: 39%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0480  acc: 0.5941  lr: 0.0000 
ep/it:585- 244 niter:224300  1169m 9s (- 1825m 25s) completed: 39%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0477  acc: 0.6023  lr: 0.0000 
ep/it:585- 294 niter:224350  1169m 23s (- 1825m 6s) completed: 39%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0488  acc: 0.5960  lr: 0.0000 
ep/it:585- 344 niter:224400  1169m 37s (- 1824m 48s) completed: 39%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0480  acc: 0.6036  lr: 0.0000 
Validation loss:1.637, accuracy:0.553
ep/it:586-  11 niter:224450  1169m 54s (- 1824m 34s) completed: 39%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0479  acc: 0.5960  lr: 0.0000 
ep/it:586-  61 niter:224500  1170m 8s (- 1824m 16s) completed: 39%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0487  acc: 0.5986  lr: 0.0000 
ep/it:586- 111 niter:224550  1170m 22s (- 1823m 59s) completed: 39%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0492  acc: 0.5993  lr: 0.0000 
ep/it:586- 161 niter:224600  1170m 37s (- 1823m 41s) completed: 39%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0501  acc: 0.5971  lr: 0.0000 
ep/it:586- 211 niter:224650  1170m 51s (- 1823m 23s) completed: 39%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0491  acc: 0.5960  lr: 0.0000 
ep/it:586- 261 niter:224700  1171m 5s (- 1823m 5s) completed: 39%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0483  acc: 0.5998  lr: 0.0000 
ep/it:586- 311 niter:224750  1171m 20s (- 1822m 48s) completed: 39%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0462  acc: 0.5980  lr: 0.0000 
ep/it:586- 361 niter:224800  1171m 34s (- 1822m 30s) completed: 39%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0473  acc: 0.6005  lr: 0.0000 
Validation loss:1.603, accuracy:0.562
ep/it:587-  28 niter:224850  1171m 50s (- 1822m 16s) completed: 39%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0484  acc: 0.5986  lr: 0.0000 
ep/it:587-  78 niter:224900  1172m 4s (- 1821m 57s) completed: 39%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0491  acc: 0.5918  lr: 0.0000 
ep/it:587- 128 niter:224950  1172m 19s (- 1821m 39s) completed: 39%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0515  acc: 0.5945  lr: 0.0000 
ep/it:587- 178 niter:225000  1172m 32s (- 1821m 21s) completed: 39%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0487  acc: 0.5976  lr: 0.0000 
ep/it:587- 228 niter:225050  1172m 47s (- 1821m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0482  acc: 0.6026  lr: 0.0000 
ep/it:587- 278 niter:225100  1173m 1s (- 1820m 46s) completed: 39%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0471  acc: 0.6018  lr: 0.0000 
ep/it:587- 328 niter:225150  1173m 15s (- 1820m 28s) completed: 39%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0481  acc: 0.5992  lr: 0.0000 
ep/it:587- 378 niter:225200  1173m 30s (- 1820m 10s) completed: 39%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0507  acc: 0.5908  lr: 0.0000 
Validation loss:1.594, accuracy:0.563
ep/it:588-  45 niter:225250  1173m 47s (- 1819m 57s) completed: 39%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0497  acc: 0.5996  lr: 0.0000 
ep/it:588-  95 niter:225300  1174m 1s (- 1819m 39s) completed: 39%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0510  acc: 0.6064  lr: 0.0000 
ep/it:588- 145 niter:225350  1174m 15s (- 1819m 22s) completed: 39%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0483  acc: 0.5960  lr: 0.0000 
ep/it:588- 195 niter:225400  1174m 30s (- 1819m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0477  acc: 0.5981  lr: 0.0000 
ep/it:588- 245 niter:225450  1174m 44s (- 1818m 46s) completed: 39%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0475  acc: 0.5870  lr: 0.0000 
ep/it:588- 295 niter:225500  1174m 58s (- 1818m 28s) completed: 39%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0488  acc: 0.5947  lr: 0.0000 
ep/it:588- 345 niter:225550  1175m 12s (- 1818m 10s) completed: 39%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0485  acc: 0.5993  lr: 0.0000 
Validation loss:1.567, accuracy:0.571
ep/it:589-  12 niter:225600  1175m 29s (- 1817m 56s) completed: 39%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0471  acc: 0.5996  lr: 0.0000 
ep/it:589-  62 niter:225650  1175m 43s (- 1817m 38s) completed: 39%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0486  acc: 0.5947  lr: 0.0000 
ep/it:589- 112 niter:225700  1175m 57s (- 1817m 20s) completed: 39%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0478  acc: 0.5959  lr: 0.0000 
ep/it:589- 162 niter:225750  1176m 11s (- 1817m 3s) completed: 39%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0495  acc: 0.5975  lr: 0.0000 
ep/it:589- 212 niter:225800  1176m 26s (- 1816m 45s) completed: 39%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0492  acc: 0.6066  lr: 0.0000 
ep/it:589- 262 niter:225850  1176m 40s (- 1816m 27s) completed: 39%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0499  acc: 0.6016  lr: 0.0000 
ep/it:589- 312 niter:225900  1176m 55s (- 1816m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0494  acc: 0.6016  lr: 0.0000 
ep/it:589- 362 niter:225950  1177m 9s (- 1815m 52s) completed: 39%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0492  acc: 0.5952  lr: 0.0000 
Validation loss:1.619, accuracy:0.556

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.94it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.46170589141548 avg: 38.46170589141548
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.80506900139153 avg: 38.6333874464035
--> 	 Eva. Repeat 0 :, FID. 0.0799, Diversity Real. 9.4146, Diversity. 9.4161, R_precision_real. [0.50976562 0.70703125 0.79980469], R_precision. [0.51367188 0.69335938 0.79394531], matching_score_real. 2.9083, matching_score_pred. 2.9721, skate_ratio. 0.0546, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0605 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0116 (kps_fail_50cm (Loc. err)): 0.0023 (kps_mean_err(m) (Avg. err)): 0.0287 
ep/it:590-  29 niter:226000  1178m 45s (- 1817m 40s) completed: 39%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0477  acc: 0.5961  lr: 0.0000 
ep/it:590-  79 niter:226050  1179m 0s (- 1817m 24s) completed: 39%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0481  acc: 0.5908  lr: 0.0000 
ep/it:590- 129 niter:226100  1179m 14s (- 1817m 6s) completed: 39%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0492  acc: 0.6078  lr: 0.0000 
ep/it:590- 179 niter:226150  1179m 29s (- 1816m 50s) completed: 39%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0492  acc: 0.5980  lr: 0.0000 
ep/it:590- 229 niter:226200  1179m 44s (- 1816m 32s) completed: 39%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0463  acc: 0.6004  lr: 0.0000 
ep/it:590- 279 niter:226250  1179m 58s (- 1816m 15s) completed: 39%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0499  acc: 0.5929  lr: 0.0000 
ep/it:590- 329 niter:226300  1180m 13s (- 1815m 58s) completed: 39%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0478  acc: 0.5951  lr: 0.0000 
ep/it:590- 379 niter:226350  1180m 27s (- 1815m 39s) completed: 39%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0482  acc: 0.6039  lr: 0.0000 
Validation loss:1.610, accuracy:0.559
ep/it:591-  46 niter:226400  1180m 44s (- 1815m 26s) completed: 39%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0477  acc: 0.6012  lr: 0.0000 
ep/it:591-  96 niter:226450  1180m 59s (- 1815m 9s) completed: 39%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0470  acc: 0.5963  lr: 0.0000 
ep/it:591- 146 niter:226500  1181m 13s (- 1814m 52s) completed: 39%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0485  acc: 0.5999  lr: 0.0000 
ep/it:591- 196 niter:226550  1181m 28s (- 1814m 34s) completed: 39%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0504  acc: 0.6039  lr: 0.0000 
ep/it:591- 246 niter:226600  1181m 42s (- 1814m 17s) completed: 39%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0494  acc: 0.6010  lr: 0.0000 
ep/it:591- 296 niter:226650  1181m 57s (- 1814m 0s) completed: 39%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0502  acc: 0.6010  lr: 0.0000 
ep/it:591- 346 niter:226700  1182m 11s (- 1813m 42s) completed: 39%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0487  acc: 0.5939  lr: 0.0000 
Validation loss:1.578, accuracy:0.568
ep/it:592-  13 niter:226750  1182m 28s (- 1813m 29s) completed: 39%) loss_emb: 0.0000  loss: 1.3465  loss_TTT: 0.0492  acc: 0.6105  lr: 0.0000 
ep/it:592-  63 niter:226800  1182m 43s (- 1813m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0477  acc: 0.5914  lr: 0.0000 
ep/it:592- 113 niter:226850  1182m 57s (- 1812m 53s) completed: 39%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0499  acc: 0.5991  lr: 0.0000 
ep/it:592- 163 niter:226900  1183m 11s (- 1812m 35s) completed: 39%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0505  acc: 0.6068  lr: 0.0000 
ep/it:592- 213 niter:226950  1183m 26s (- 1812m 18s) completed: 39%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0484  acc: 0.6018  lr: 0.0000 
ep/it:592- 263 niter:227000  1183m 40s (- 1812m 0s) completed: 39%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0493  acc: 0.6040  lr: 0.0000 
ep/it:592- 313 niter:227050  1183m 54s (- 1811m 43s) completed: 39%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0477  acc: 0.5932  lr: 0.0000 
ep/it:592- 363 niter:227100  1184m 9s (- 1811m 25s) completed: 39%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0517  acc: 0.6000  lr: 0.0000 
Validation loss:1.609, accuracy:0.561
ep/it:593-  30 niter:227150  1184m 26s (- 1811m 12s) completed: 39%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0514  acc: 0.5932  lr: 0.0000 
ep/it:593-  80 niter:227200  1184m 40s (- 1810m 53s) completed: 39%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0490  acc: 0.5962  lr: 0.0000 
ep/it:593- 130 niter:227250  1184m 54s (- 1810m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0490  acc: 0.5980  lr: 0.0000 
ep/it:593- 180 niter:227300  1185m 9s (- 1810m 19s) completed: 39%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0500  acc: 0.5968  lr: 0.0000 
ep/it:593- 230 niter:227350  1185m 23s (- 1810m 1s) completed: 39%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0474  acc: 0.6049  lr: 0.0000 
ep/it:593- 280 niter:227400  1185m 37s (- 1809m 43s) completed: 39%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0491  acc: 0.5924  lr: 0.0000 
ep/it:593- 330 niter:227450  1185m 52s (- 1809m 25s) completed: 39%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0493  acc: 0.6006  lr: 0.0000 
ep/it:593- 380 niter:227500  1186m 5s (- 1809m 7s) completed: 39%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0490  acc: 0.5969  lr: 0.0000 
Validation loss:1.604, accuracy:0.562
ep/it:594-  47 niter:227550  1186m 22s (- 1808m 53s) completed: 39%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0484  acc: 0.6005  lr: 0.0000 
ep/it:594-  97 niter:227600  1186m 37s (- 1808m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0501  acc: 0.6002  lr: 0.0000 
ep/it:594- 147 niter:227650  1186m 52s (- 1808m 19s) completed: 39%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0503  acc: 0.5956  lr: 0.0000 
ep/it:594- 197 niter:227700  1187m 6s (- 1808m 2s) completed: 39%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0469  acc: 0.6031  lr: 0.0000 
ep/it:594- 247 niter:227750  1187m 20s (- 1807m 44s) completed: 39%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0476  acc: 0.5979  lr: 0.0000 
ep/it:594- 297 niter:227800  1187m 35s (- 1807m 26s) completed: 39%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0514  acc: 0.5990  lr: 0.0000 
ep/it:594- 347 niter:227850  1187m 48s (- 1807m 8s) completed: 39%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0500  acc: 0.5879  lr: 0.0000 
Validation loss:1.604, accuracy:0.562
ep/it:595-  14 niter:227900  1188m 5s (- 1806m 54s) completed: 39%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0482  acc: 0.5928  lr: 0.0000 
ep/it:595-  64 niter:227950  1188m 20s (- 1806m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0478  acc: 0.5873  lr: 0.0000 
ep/it:595- 114 niter:228000  1188m 34s (- 1806m 19s) completed: 39%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0483  acc: 0.5972  lr: 0.0000 
ep/it:595- 164 niter:228050  1188m 49s (- 1806m 3s) completed: 39%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0493  acc: 0.5951  lr: 0.0000 
ep/it:595- 214 niter:228100  1189m 4s (- 1805m 46s) completed: 39%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0483  acc: 0.5979  lr: 0.0000 
ep/it:595- 264 niter:228150  1189m 18s (- 1805m 28s) completed: 39%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0509  acc: 0.6003  lr: 0.0000 
ep/it:595- 314 niter:228200  1189m 33s (- 1805m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0472  acc: 0.6024  lr: 0.0000 
ep/it:595- 364 niter:228250  1189m 47s (- 1804m 53s) completed: 39%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0495  acc: 0.5983  lr: 0.0000 
Validation loss:1.591, accuracy:0.565
ep/it:596-  31 niter:228300  1190m 5s (- 1804m 40s) completed: 39%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0484  acc: 0.5993  lr: 0.0000 
ep/it:596-  81 niter:228350  1190m 18s (- 1804m 22s) completed: 39%) loss_emb: 0.0000  loss: 1.4351  loss_TTT: 0.0523  acc: 0.5855  lr: 0.0000 
ep/it:596- 131 niter:228400  1190m 33s (- 1804m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0482  acc: 0.5953  lr: 0.0000 
ep/it:596- 181 niter:228450  1190m 47s (- 1803m 47s) completed: 39%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0476  acc: 0.5988  lr: 0.0000 
ep/it:596- 231 niter:228500  1191m 1s (- 1803m 29s) completed: 39%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0492  acc: 0.5966  lr: 0.0000 
ep/it:596- 281 niter:228550  1191m 16s (- 1803m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0487  acc: 0.5933  lr: 0.0000 
ep/it:596- 331 niter:228600  1191m 30s (- 1802m 54s) completed: 39%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0487  acc: 0.6032  lr: 0.0000 
ep/it:596- 381 niter:228650  1191m 44s (- 1802m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0492  acc: 0.6002  lr: 0.0000 
Validation loss:1.560, accuracy:0.572
ep/it:597-  48 niter:228700  1192m 1s (- 1802m 22s) completed: 39%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0480  acc: 0.5945  lr: 0.0000 
ep/it:597-  98 niter:228750  1192m 15s (- 1802m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0501  acc: 0.5989  lr: 0.0000 
ep/it:597- 148 niter:228800  1192m 29s (- 1801m 46s) completed: 39%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0499  acc: 0.6009  lr: 0.0000 
ep/it:597- 198 niter:228850  1192m 43s (- 1801m 28s) completed: 39%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0470  acc: 0.5991  lr: 0.0000 
ep/it:597- 248 niter:228900  1192m 58s (- 1801m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0500  acc: 0.5916  lr: 0.0000 
ep/it:597- 298 niter:228950  1193m 12s (- 1800m 52s) completed: 39%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0464  acc: 0.6073  lr: 0.0000 
ep/it:597- 348 niter:229000  1193m 26s (- 1800m 34s) completed: 39%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0477  acc: 0.5986  lr: 0.0000 
Validation loss:1.587, accuracy:0.565
ep/it:598-  15 niter:229050  1193m 43s (- 1800m 21s) completed: 39%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0503  acc: 0.5932  lr: 0.0000 
ep/it:598-  65 niter:229100  1193m 58s (- 1800m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0483  acc: 0.5948  lr: 0.0000 
ep/it:598- 115 niter:229150  1194m 11s (- 1799m 45s) completed: 39%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0492  acc: 0.5980  lr: 0.0000 
ep/it:598- 165 niter:229200  1194m 26s (- 1799m 28s) completed: 39%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0491  acc: 0.5998  lr: 0.0000 
ep/it:598- 215 niter:229250  1194m 40s (- 1799m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0478  acc: 0.5975  lr: 0.0000 
ep/it:598- 265 niter:229300  1194m 55s (- 1798m 53s) completed: 39%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0502  acc: 0.5963  lr: 0.0000 
ep/it:598- 315 niter:229350  1195m 9s (- 1798m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0468  acc: 0.5996  lr: 0.0000 
ep/it:598- 365 niter:229400  1195m 24s (- 1798m 19s) completed: 39%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0509  acc: 0.5962  lr: 0.0000 
Validation loss:1.626, accuracy:0.555
ep/it:599-  32 niter:229450  1195m 41s (- 1798m 5s) completed: 39%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0488  acc: 0.5966  lr: 0.0000 
ep/it:599-  82 niter:229500  1195m 55s (- 1797m 47s) completed: 39%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0485  acc: 0.6025  lr: 0.0000 
ep/it:599- 132 niter:229550  1196m 9s (- 1797m 30s) completed: 39%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0476  acc: 0.5929  lr: 0.0000 
ep/it:599- 182 niter:229600  1196m 23s (- 1797m 12s) completed: 39%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0497  acc: 0.5967  lr: 0.0000 
ep/it:599- 232 niter:229650  1196m 38s (- 1796m 54s) completed: 39%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0492  acc: 0.5952  lr: 0.0000 
ep/it:599- 282 niter:229700  1196m 52s (- 1796m 37s) completed: 39%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0488  acc: 0.5978  lr: 0.0000 
ep/it:599- 332 niter:229750  1197m 7s (- 1796m 20s) completed: 39%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0475  acc: 0.5970  lr: 0.0000 
ep/it:599- 382 niter:229800  1197m 21s (- 1796m 2s) completed: 40%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0505  acc: 0.5957  lr: 0.0000 
Validation loss:1.609, accuracy:0.561

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.71it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.56738638877869 avg: 38.56738638877869
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.70631809718907 avg: 38.63685224298388
--> 	 Eva. Repeat 0 :, FID. 0.1049, Diversity Real. 9.3689, Diversity. 9.7631, R_precision_real. [0.53222656 0.70996094 0.80273438], R_precision. [0.50195312 0.70410156 0.79101562], matching_score_real. 2.9062, matching_score_pred. 3.0324, skate_ratio. 0.0492, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0488 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0099 (kps_fail_50cm (Loc. err)): 0.0011 (kps_mean_err(m) (Avg. err)): 0.0278 
ep/it:600-  49 niter:229850  1198m 57s (- 1797m 46s) completed: 40%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0483  acc: 0.5951  lr: 0.0000 
ep/it:600-  99 niter:229900  1199m 11s (- 1797m 29s) completed: 40%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0489  acc: 0.6001  lr: 0.0000 
ep/it:600- 149 niter:229950  1199m 26s (- 1797m 11s) completed: 40%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0503  acc: 0.5977  lr: 0.0000 
ep/it:600- 199 niter:230000  1199m 40s (- 1796m 53s) completed: 40%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0496  acc: 0.5975  lr: 0.0000 
ep/it:600- 249 niter:230050  1199m 54s (- 1796m 36s) completed: 40%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0482  acc: 0.5982  lr: 0.0000 
ep/it:600- 299 niter:230100  1200m 8s (- 1796m 18s) completed: 40%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0472  acc: 0.6029  lr: 0.0000 
ep/it:600- 349 niter:230150  1200m 22s (- 1796m 0s) completed: 40%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0504  acc: 0.5975  lr: 0.0000 
Validation loss:1.570, accuracy:0.570
ep/it:601-  16 niter:230200  1200m 39s (- 1795m 46s) completed: 40%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0471  acc: 0.5991  lr: 0.0000 
ep/it:601-  66 niter:230250  1200m 54s (- 1795m 29s) completed: 40%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0486  acc: 0.6027  lr: 0.0000 
ep/it:601- 116 niter:230300  1201m 8s (- 1795m 11s) completed: 40%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0485  acc: 0.5998  lr: 0.0000 
ep/it:601- 166 niter:230350  1201m 22s (- 1794m 53s) completed: 40%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0490  acc: 0.5957  lr: 0.0000 
ep/it:601- 216 niter:230400  1201m 36s (- 1794m 35s) completed: 40%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0506  acc: 0.5990  lr: 0.0000 
ep/it:601- 266 niter:230450  1201m 50s (- 1794m 17s) completed: 40%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0494  acc: 0.5987  lr: 0.0000 
ep/it:601- 316 niter:230500  1202m 4s (- 1793m 59s) completed: 40%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0497  acc: 0.5931  lr: 0.0000 
ep/it:601- 366 niter:230550  1202m 18s (- 1793m 41s) completed: 40%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0484  acc: 0.5936  lr: 0.0000 
Validation loss:1.545, accuracy:0.576
ep/it:602-  33 niter:230600  1202m 35s (- 1793m 27s) completed: 40%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0492  acc: 0.5997  lr: 0.0000 
ep/it:602-  83 niter:230650  1202m 50s (- 1793m 10s) completed: 40%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0489  acc: 0.5989  lr: 0.0000 
ep/it:602- 133 niter:230700  1203m 4s (- 1792m 53s) completed: 40%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0502  acc: 0.5935  lr: 0.0000 
ep/it:602- 183 niter:230750  1203m 19s (- 1792m 36s) completed: 40%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0473  acc: 0.5987  lr: 0.0000 
ep/it:602- 233 niter:230800  1203m 34s (- 1792m 19s) completed: 40%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0482  acc: 0.5977  lr: 0.0000 
ep/it:602- 283 niter:230850  1203m 48s (- 1792m 2s) completed: 40%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0474  acc: 0.6025  lr: 0.0000 
ep/it:602- 333 niter:230900  1204m 3s (- 1791m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0479  acc: 0.6024  lr: 0.0000 
Validation loss:1.572, accuracy:0.571
ep/it:603-   0 niter:230950  1204m 19s (- 1791m 30s) completed: 40%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0493  acc: 0.5971  lr: 0.0000 
ep/it:603-  50 niter:231000  1204m 33s (- 1791m 12s) completed: 40%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0489  acc: 0.5891  lr: 0.0000 
ep/it:603- 100 niter:231050  1204m 48s (- 1790m 55s) completed: 40%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0483  acc: 0.5974  lr: 0.0000 
ep/it:603- 150 niter:231100  1205m 3s (- 1790m 38s) completed: 40%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0482  acc: 0.5957  lr: 0.0000 
ep/it:603- 200 niter:231150  1205m 17s (- 1790m 20s) completed: 40%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0481  acc: 0.5987  lr: 0.0000 
ep/it:603- 250 niter:231200  1205m 32s (- 1790m 3s) completed: 40%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0504  acc: 0.6041  lr: 0.0000 
ep/it:603- 300 niter:231250  1205m 46s (- 1789m 46s) completed: 40%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0467  acc: 0.5994  lr: 0.0000 
ep/it:603- 350 niter:231300  1206m 1s (- 1789m 28s) completed: 40%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0475  acc: 0.5946  lr: 0.0000 
Validation loss:1.536, accuracy:0.579
ep/it:604-  17 niter:231350  1206m 18s (- 1789m 15s) completed: 40%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0508  acc: 0.5922  lr: 0.0000 
ep/it:604-  67 niter:231400  1206m 32s (- 1788m 57s) completed: 40%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0481  acc: 0.6060  lr: 0.0000 
ep/it:604- 117 niter:231450  1206m 46s (- 1788m 39s) completed: 40%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0490  acc: 0.6018  lr: 0.0000 
ep/it:604- 167 niter:231500  1207m 1s (- 1788m 22s) completed: 40%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0483  acc: 0.5960  lr: 0.0000 
ep/it:604- 217 niter:231550  1207m 15s (- 1788m 5s) completed: 40%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0488  acc: 0.5979  lr: 0.0000 
ep/it:604- 267 niter:231600  1207m 29s (- 1787m 47s) completed: 40%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0488  acc: 0.5988  lr: 0.0000 
ep/it:604- 317 niter:231650  1207m 43s (- 1787m 29s) completed: 40%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0491  acc: 0.5978  lr: 0.0000 
ep/it:604- 367 niter:231700  1207m 58s (- 1787m 11s) completed: 40%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0489  acc: 0.5953  lr: 0.0000 
Validation loss:1.590, accuracy:0.564
ep/it:605-  34 niter:231750  1208m 15s (- 1786m 58s) completed: 40%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0491  acc: 0.5949  lr: 0.0000 
ep/it:605-  84 niter:231800  1208m 29s (- 1786m 40s) completed: 40%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0481  acc: 0.5952  lr: 0.0000 
ep/it:605- 134 niter:231850  1208m 44s (- 1786m 23s) completed: 40%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0496  acc: 0.5949  lr: 0.0000 
ep/it:605- 184 niter:231900  1208m 58s (- 1786m 6s) completed: 40%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0476  acc: 0.5966  lr: 0.0000 
ep/it:605- 234 niter:231950  1209m 13s (- 1785m 48s) completed: 40%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0496  acc: 0.6063  lr: 0.0000 
ep/it:605- 284 niter:232000  1209m 27s (- 1785m 31s) completed: 40%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0496  acc: 0.6002  lr: 0.0000 
ep/it:605- 334 niter:232050  1209m 42s (- 1785m 14s) completed: 40%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0464  acc: 0.6028  lr: 0.0000 
Validation loss:1.613, accuracy:0.560
ep/it:606-   1 niter:232100  1209m 59s (- 1785m 0s) completed: 40%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0496  acc: 0.5997  lr: 0.0000 
ep/it:606-  51 niter:232150  1210m 13s (- 1784m 42s) completed: 40%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0499  acc: 0.5953  lr: 0.0000 
ep/it:606- 101 niter:232200  1210m 27s (- 1784m 24s) completed: 40%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0501  acc: 0.6014  lr: 0.0000 
ep/it:606- 151 niter:232250  1210m 42s (- 1784m 7s) completed: 40%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0488  acc: 0.6064  lr: 0.0000 
ep/it:606- 201 niter:232300  1210m 56s (- 1783m 49s) completed: 40%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0470  acc: 0.5977  lr: 0.0000 
ep/it:606- 251 niter:232350  1211m 10s (- 1783m 32s) completed: 40%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0474  acc: 0.6055  lr: 0.0000 
ep/it:606- 301 niter:232400  1211m 25s (- 1783m 14s) completed: 40%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0483  acc: 0.5900  lr: 0.0000 
ep/it:606- 351 niter:232450  1211m 39s (- 1782m 57s) completed: 40%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0484  acc: 0.5941  lr: 0.0000 
Validation loss:1.547, accuracy:0.576
ep/it:607-  18 niter:232500  1211m 56s (- 1782m 43s) completed: 40%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0475  acc: 0.5978  lr: 0.0000 
ep/it:607-  68 niter:232550  1212m 11s (- 1782m 27s) completed: 40%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0479  acc: 0.5959  lr: 0.0000 
ep/it:607- 118 niter:232600  1212m 25s (- 1782m 9s) completed: 40%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0497  acc: 0.6001  lr: 0.0000 
ep/it:607- 168 niter:232650  1212m 40s (- 1781m 52s) completed: 40%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0478  acc: 0.5999  lr: 0.0000 
ep/it:607- 218 niter:232700  1212m 54s (- 1781m 34s) completed: 40%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0489  acc: 0.6022  lr: 0.0000 
ep/it:607- 268 niter:232750  1213m 8s (- 1781m 16s) completed: 40%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0508  acc: 0.5987  lr: 0.0000 
ep/it:607- 318 niter:232800  1213m 22s (- 1780m 58s) completed: 40%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0474  acc: 0.5932  lr: 0.0000 
ep/it:607- 368 niter:232850  1213m 37s (- 1780m 41s) completed: 40%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0491  acc: 0.6006  lr: 0.0000 
Validation loss:1.597, accuracy:0.564
ep/it:608-  35 niter:232900  1213m 53s (- 1780m 27s) completed: 40%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0480  acc: 0.5954  lr: 0.0000 
ep/it:608-  85 niter:232950  1214m 8s (- 1780m 9s) completed: 40%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0491  acc: 0.5951  lr: 0.0000 
ep/it:608- 135 niter:233000  1214m 23s (- 1779m 53s) completed: 40%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0493  acc: 0.5964  lr: 0.0000 
ep/it:608- 185 niter:233050  1214m 38s (- 1779m 36s) completed: 40%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0491  acc: 0.5985  lr: 0.0000 
ep/it:608- 235 niter:233100  1214m 52s (- 1779m 18s) completed: 40%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0495  acc: 0.6005  lr: 0.0000 
ep/it:608- 285 niter:233150  1215m 6s (- 1779m 1s) completed: 40%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0480  acc: 0.5979  lr: 0.0000 
ep/it:608- 335 niter:233200  1215m 21s (- 1778m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0472  acc: 0.6041  lr: 0.0000 
Validation loss:1.567, accuracy:0.569
ep/it:609-   2 niter:233250  1215m 37s (- 1778m 29s) completed: 40%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0494  acc: 0.5951  lr: 0.0000 
ep/it:609-  52 niter:233300  1215m 52s (- 1778m 12s) completed: 40%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0487  acc: 0.5971  lr: 0.0000 
ep/it:609- 102 niter:233350  1216m 6s (- 1777m 54s) completed: 40%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0484  acc: 0.6014  lr: 0.0000 
ep/it:609- 152 niter:233400  1216m 20s (- 1777m 36s) completed: 40%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0487  acc: 0.5977  lr: 0.0000 
ep/it:609- 202 niter:233450  1216m 35s (- 1777m 19s) completed: 40%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0490  acc: 0.5944  lr: 0.0000 
ep/it:609- 252 niter:233500  1216m 49s (- 1777m 2s) completed: 40%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0470  acc: 0.6052  lr: 0.0000 
ep/it:609- 302 niter:233550  1217m 3s (- 1776m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.4273  loss_TTT: 0.0497  acc: 0.5884  lr: 0.0000 
ep/it:609- 352 niter:233600  1217m 18s (- 1776m 27s) completed: 40%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0492  acc: 0.5975  lr: 0.0000 
Validation loss:1.587, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.58it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.777905511669815 avg: 38.777905511669815
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.871318474411964 avg: 38.82461199304089
--> 	 Eva. Repeat 0 :, FID. 0.1012, Diversity Real. 9.3878, Diversity. 9.6474, R_precision_real. [0.50488281 0.70214844 0.79296875], R_precision. [0.53808594 0.71875    0.80957031], matching_score_real. 2.9723, matching_score_pred. 2.9120, skate_ratio. 0.0469, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0107 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0277 
ep/it:610-  19 niter:233650  1218m 54s (- 1778m 9s) completed: 40%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0482  acc: 0.6001  lr: 0.0000 
ep/it:610-  69 niter:233700  1219m 9s (- 1777m 51s) completed: 40%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0484  acc: 0.6016  lr: 0.0000 
ep/it:610- 119 niter:233750  1219m 23s (- 1777m 35s) completed: 40%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0493  acc: 0.5933  lr: 0.0000 
ep/it:610- 169 niter:233800  1219m 38s (- 1777m 17s) completed: 40%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0487  acc: 0.5958  lr: 0.0000 
ep/it:610- 219 niter:233850  1219m 53s (- 1777m 0s) completed: 40%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0501  acc: 0.5976  lr: 0.0000 
ep/it:610- 269 niter:233900  1220m 7s (- 1776m 43s) completed: 40%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0493  acc: 0.6012  lr: 0.0000 
ep/it:610- 319 niter:233950  1220m 22s (- 1776m 26s) completed: 40%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0479  acc: 0.6011  lr: 0.0000 
ep/it:610- 369 niter:234000  1220m 36s (- 1776m 8s) completed: 40%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0493  acc: 0.5935  lr: 0.0000 
Validation loss:1.557, accuracy:0.573
ep/it:611-  36 niter:234050  1220m 53s (- 1775m 55s) completed: 40%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0485  acc: 0.5912  lr: 0.0000 
ep/it:611-  86 niter:234100  1221m 7s (- 1775m 37s) completed: 40%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0479  acc: 0.5984  lr: 0.0000 
ep/it:611- 136 niter:234150  1221m 22s (- 1775m 19s) completed: 40%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0486  acc: 0.5985  lr: 0.0000 
ep/it:611- 186 niter:234200  1221m 36s (- 1775m 1s) completed: 40%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0478  acc: 0.6051  lr: 0.0000 
ep/it:611- 236 niter:234250  1221m 50s (- 1774m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0491  acc: 0.5988  lr: 0.0000 
ep/it:611- 286 niter:234300  1222m 4s (- 1774m 26s) completed: 40%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0494  acc: 0.5984  lr: 0.0000 
ep/it:611- 336 niter:234350  1222m 19s (- 1774m 9s) completed: 40%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0485  acc: 0.6004  lr: 0.0000 
Validation loss:1.600, accuracy:0.560
ep/it:612-   3 niter:234400  1222m 36s (- 1773m 56s) completed: 40%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0479  acc: 0.6033  lr: 0.0000 
ep/it:612-  53 niter:234450  1222m 51s (- 1773m 39s) completed: 40%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0476  acc: 0.6025  lr: 0.0000 
ep/it:612- 103 niter:234500  1223m 5s (- 1773m 21s) completed: 40%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0484  acc: 0.6003  lr: 0.0000 
ep/it:612- 153 niter:234550  1223m 20s (- 1773m 5s) completed: 40%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0473  acc: 0.6005  lr: 0.0000 
ep/it:612- 203 niter:234600  1223m 36s (- 1772m 48s) completed: 40%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0491  acc: 0.5924  lr: 0.0000 
ep/it:612- 253 niter:234650  1223m 50s (- 1772m 30s) completed: 40%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0495  acc: 0.5998  lr: 0.0000 
ep/it:612- 303 niter:234700  1224m 4s (- 1772m 13s) completed: 40%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0485  acc: 0.5962  lr: 0.0000 
ep/it:612- 353 niter:234750  1224m 18s (- 1771m 55s) completed: 40%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0484  acc: 0.5985  lr: 0.0000 
Validation loss:1.634, accuracy:0.554
ep/it:613-  20 niter:234800  1224m 36s (- 1771m 42s) completed: 40%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0505  acc: 0.5959  lr: 0.0000 
ep/it:613-  70 niter:234850  1224m 50s (- 1771m 24s) completed: 40%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0491  acc: 0.5977  lr: 0.0000 
ep/it:613- 120 niter:234900  1225m 4s (- 1771m 6s) completed: 40%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0476  acc: 0.5978  lr: 0.0000 
ep/it:613- 170 niter:234950  1225m 19s (- 1770m 49s) completed: 40%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0492  acc: 0.6001  lr: 0.0000 
ep/it:613- 220 niter:235000  1225m 33s (- 1770m 32s) completed: 40%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0484  acc: 0.5958  lr: 0.0000 
ep/it:613- 270 niter:235050  1225m 48s (- 1770m 15s) completed: 40%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0485  acc: 0.5996  lr: 0.0000 
ep/it:613- 320 niter:235100  1226m 2s (- 1769m 58s) completed: 40%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0485  acc: 0.6014  lr: 0.0000 
ep/it:613- 370 niter:235150  1226m 17s (- 1769m 40s) completed: 40%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0508  acc: 0.6012  lr: 0.0000 
Validation loss:1.554, accuracy:0.573
ep/it:614-  37 niter:235200  1226m 34s (- 1769m 27s) completed: 40%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0493  acc: 0.5956  lr: 0.0000 
ep/it:614-  87 niter:235250  1226m 48s (- 1769m 9s) completed: 40%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0506  acc: 0.5927  lr: 0.0000 
ep/it:614- 137 niter:235300  1227m 2s (- 1768m 51s) completed: 40%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0474  acc: 0.5998  lr: 0.0000 
ep/it:614- 187 niter:235350  1227m 16s (- 1768m 33s) completed: 40%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0479  acc: 0.5990  lr: 0.0000 
ep/it:614- 237 niter:235400  1227m 30s (- 1768m 16s) completed: 40%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0487  acc: 0.5918  lr: 0.0000 
ep/it:614- 287 niter:235450  1227m 44s (- 1767m 58s) completed: 40%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0511  acc: 0.5922  lr: 0.0000 
ep/it:614- 337 niter:235500  1227m 58s (- 1767m 40s) completed: 40%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0479  acc: 0.5996  lr: 0.0000 
Validation loss:1.570, accuracy:0.569
ep/it:615-   4 niter:235550  1228m 16s (- 1767m 26s) completed: 41%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0488  acc: 0.5918  lr: 0.0000 
ep/it:615-  54 niter:235600  1228m 30s (- 1767m 8s) completed: 41%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0474  acc: 0.6013  lr: 0.0000 
ep/it:615- 104 niter:235650  1228m 44s (- 1766m 51s) completed: 41%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0498  acc: 0.5984  lr: 0.0000 
ep/it:615- 154 niter:235700  1228m 59s (- 1766m 34s) completed: 41%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0484  acc: 0.5959  lr: 0.0000 
ep/it:615- 204 niter:235750  1229m 14s (- 1766m 17s) completed: 41%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0496  acc: 0.5982  lr: 0.0000 
ep/it:615- 254 niter:235800  1229m 28s (- 1766m 0s) completed: 41%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0491  acc: 0.5941  lr: 0.0000 
ep/it:615- 304 niter:235850  1229m 43s (- 1765m 43s) completed: 41%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0493  acc: 0.6017  lr: 0.0000 
ep/it:615- 354 niter:235900  1229m 58s (- 1765m 26s) completed: 41%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0497  acc: 0.5943  lr: 0.0000 
Validation loss:1.586, accuracy:0.564
ep/it:616-  21 niter:235950  1230m 14s (- 1765m 12s) completed: 41%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0466  acc: 0.5956  lr: 0.0000 
ep/it:616-  71 niter:236000  1230m 28s (- 1764m 54s) completed: 41%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0493  acc: 0.5979  lr: 0.0000 
ep/it:616- 121 niter:236050  1230m 43s (- 1764m 37s) completed: 41%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0495  acc: 0.5948  lr: 0.0000 
ep/it:616- 171 niter:236100  1230m 57s (- 1764m 19s) completed: 41%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0507  acc: 0.5994  lr: 0.0000 
ep/it:616- 221 niter:236150  1231m 12s (- 1764m 2s) completed: 41%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0481  acc: 0.5946  lr: 0.0000 
ep/it:616- 271 niter:236200  1231m 26s (- 1763m 45s) completed: 41%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0475  acc: 0.5961  lr: 0.0000 
ep/it:616- 321 niter:236250  1231m 41s (- 1763m 27s) completed: 41%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0481  acc: 0.6025  lr: 0.0000 
ep/it:616- 371 niter:236300  1231m 55s (- 1763m 10s) completed: 41%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0492  acc: 0.5966  lr: 0.0000 
Validation loss:1.579, accuracy:0.566
ep/it:617-  38 niter:236350  1232m 13s (- 1762m 57s) completed: 41%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0489  acc: 0.5943  lr: 0.0000 
ep/it:617-  88 niter:236400  1232m 27s (- 1762m 40s) completed: 41%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0476  acc: 0.5943  lr: 0.0000 
ep/it:617- 138 niter:236450  1232m 42s (- 1762m 23s) completed: 41%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0479  acc: 0.6013  lr: 0.0000 
ep/it:617- 188 niter:236500  1232m 57s (- 1762m 6s) completed: 41%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0493  acc: 0.5945  lr: 0.0000 
ep/it:617- 238 niter:236550  1233m 12s (- 1761m 49s) completed: 41%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0485  acc: 0.5920  lr: 0.0000 
ep/it:617- 288 niter:236600  1233m 26s (- 1761m 32s) completed: 41%) loss_emb: 0.0000  loss: 1.4263  loss_TTT: 0.0489  acc: 0.5883  lr: 0.0000 
ep/it:617- 338 niter:236650  1233m 40s (- 1761m 14s) completed: 41%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0475  acc: 0.5974  lr: 0.0000 
Validation loss:1.546, accuracy:0.579
ep/it:618-   5 niter:236700  1233m 57s (- 1761m 1s) completed: 41%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0500  acc: 0.5985  lr: 0.0000 
ep/it:618-  55 niter:236750  1234m 12s (- 1760m 43s) completed: 41%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0497  acc: 0.5928  lr: 0.0000 
ep/it:618- 105 niter:236800  1234m 26s (- 1760m 26s) completed: 41%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0492  acc: 0.5974  lr: 0.0000 
ep/it:618- 155 niter:236850  1234m 41s (- 1760m 9s) completed: 41%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0467  acc: 0.6001  lr: 0.0000 
ep/it:618- 205 niter:236900  1234m 55s (- 1759m 52s) completed: 41%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0480  acc: 0.6021  lr: 0.0000 
ep/it:618- 255 niter:236950  1235m 10s (- 1759m 35s) completed: 41%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0509  acc: 0.5950  lr: 0.0000 
ep/it:618- 305 niter:237000  1235m 25s (- 1759m 18s) completed: 41%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0504  acc: 0.5969  lr: 0.0000 
ep/it:618- 355 niter:237050  1235m 39s (- 1759m 1s) completed: 41%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0490  acc: 0.6012  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:619-  22 niter:237100  1235m 56s (- 1758m 47s) completed: 41%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0490  acc: 0.5965  lr: 0.0000 
ep/it:619-  72 niter:237150  1236m 11s (- 1758m 29s) completed: 41%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0480  acc: 0.5959  lr: 0.0000 
ep/it:619- 122 niter:237200  1236m 25s (- 1758m 11s) completed: 41%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0491  acc: 0.6012  lr: 0.0000 
ep/it:619- 172 niter:237250  1236m 39s (- 1757m 54s) completed: 41%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0475  acc: 0.5997  lr: 0.0000 
ep/it:619- 222 niter:237300  1236m 53s (- 1757m 37s) completed: 41%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0481  acc: 0.5878  lr: 0.0000 
ep/it:619- 272 niter:237350  1237m 8s (- 1757m 19s) completed: 41%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0497  acc: 0.5982  lr: 0.0000 
ep/it:619- 322 niter:237400  1237m 22s (- 1757m 2s) completed: 41%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0499  acc: 0.5920  lr: 0.0000 
ep/it:619- 372 niter:237450  1237m 36s (- 1756m 44s) completed: 41%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0478  acc: 0.6047  lr: 0.0000 
Validation loss:1.594, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.69it/s]
 34%|███▍      | 16/47 [00:40<01:19,  2.55s/it]
 68%|██████▊   | 32/47 [01:19<00:37,  2.49s/it]
100%|██████████| 47/47 [01:19<00:00,  1.69s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.53832283988595 avg: 39.53832283988595
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.92294111009687 avg: 39.23063197499141
--> 	 Eva. Repeat 0 :, FID. 0.0846, Diversity Real. 9.6917, Diversity. 9.3868, R_precision_real. [0.50292969 0.70507812 0.80761719], R_precision. [0.50976562 0.69335938 0.8046875 ], matching_score_real. 2.8952, matching_score_pred. 2.9228, skate_ratio. 0.0459, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0596 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0109 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0280 
ep/it:620-  39 niter:237500  1239m 13s (- 1758m 23s) completed: 41%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0485  acc: 0.5975  lr: 0.0000 
ep/it:620-  89 niter:237550  1239m 28s (- 1758m 7s) completed: 41%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0470  acc: 0.6063  lr: 0.0000 
ep/it:620- 139 niter:237600  1239m 42s (- 1757m 49s) completed: 41%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0508  acc: 0.6006  lr: 0.0000 
ep/it:620- 189 niter:237650  1239m 57s (- 1757m 31s) completed: 41%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0474  acc: 0.5978  lr: 0.0000 
ep/it:620- 239 niter:237700  1240m 11s (- 1757m 14s) completed: 41%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0473  acc: 0.5915  lr: 0.0000 
ep/it:620- 289 niter:237750  1240m 26s (- 1756m 57s) completed: 41%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0499  acc: 0.6038  lr: 0.0000 
ep/it:620- 339 niter:237800  1240m 40s (- 1756m 40s) completed: 41%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0488  acc: 0.6026  lr: 0.0000 
Validation loss:1.608, accuracy:0.560
ep/it:621-   6 niter:237850  1240m 57s (- 1756m 26s) completed: 41%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0489  acc: 0.5995  lr: 0.0000 
ep/it:621-  56 niter:237900  1241m 12s (- 1756m 9s) completed: 41%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0493  acc: 0.6024  lr: 0.0000 
ep/it:621- 106 niter:237950  1241m 27s (- 1755m 52s) completed: 41%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0474  acc: 0.5944  lr: 0.0000 
ep/it:621- 156 niter:238000  1241m 41s (- 1755m 35s) completed: 41%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0472  acc: 0.6028  lr: 0.0000 
ep/it:621- 206 niter:238050  1241m 56s (- 1755m 18s) completed: 41%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0503  acc: 0.5944  lr: 0.0000 
ep/it:621- 256 niter:238100  1242m 10s (- 1755m 1s) completed: 41%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0470  acc: 0.6014  lr: 0.0000 
ep/it:621- 306 niter:238150  1242m 25s (- 1754m 43s) completed: 41%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0492  acc: 0.6015  lr: 0.0000 
ep/it:621- 356 niter:238200  1242m 40s (- 1754m 26s) completed: 41%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0488  acc: 0.5956  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:622-  23 niter:238250  1242m 56s (- 1754m 12s) completed: 41%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0488  acc: 0.5909  lr: 0.0000 
ep/it:622-  73 niter:238300  1243m 11s (- 1753m 55s) completed: 41%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0470  acc: 0.6010  lr: 0.0000 
ep/it:622- 123 niter:238350  1243m 25s (- 1753m 37s) completed: 41%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0482  acc: 0.5872  lr: 0.0000 
ep/it:622- 173 niter:238400  1243m 39s (- 1753m 19s) completed: 41%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0482  acc: 0.5980  lr: 0.0000 
ep/it:622- 223 niter:238450  1243m 53s (- 1753m 1s) completed: 41%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0483  acc: 0.5941  lr: 0.0000 
ep/it:622- 273 niter:238500  1244m 7s (- 1752m 44s) completed: 41%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0497  acc: 0.6009  lr: 0.0000 
ep/it:622- 323 niter:238550  1244m 22s (- 1752m 27s) completed: 41%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0493  acc: 0.5959  lr: 0.0000 
ep/it:622- 373 niter:238600  1244m 36s (- 1752m 9s) completed: 41%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0485  acc: 0.5972  lr: 0.0000 
Validation loss:1.622, accuracy:0.557
ep/it:623-  40 niter:238650  1244m 53s (- 1751m 55s) completed: 41%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0490  acc: 0.6025  lr: 0.0000 
ep/it:623-  90 niter:238700  1245m 7s (- 1751m 37s) completed: 41%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0503  acc: 0.5988  lr: 0.0000 
ep/it:623- 140 niter:238750  1245m 21s (- 1751m 19s) completed: 41%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0480  acc: 0.5991  lr: 0.0000 
ep/it:623- 190 niter:238800  1245m 35s (- 1751m 2s) completed: 41%) loss_emb: 0.0000  loss: 1.4392  loss_TTT: 0.0493  acc: 0.5862  lr: 0.0000 
ep/it:623- 240 niter:238850  1245m 50s (- 1750m 45s) completed: 41%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0478  acc: 0.5911  lr: 0.0000 
ep/it:623- 290 niter:238900  1246m 4s (- 1750m 27s) completed: 41%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0477  acc: 0.5993  lr: 0.0000 
ep/it:623- 340 niter:238950  1246m 18s (- 1750m 9s) completed: 41%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0470  acc: 0.6037  lr: 0.0000 
Validation loss:1.598, accuracy:0.564
ep/it:624-   7 niter:239000  1246m 35s (- 1749m 55s) completed: 41%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0489  acc: 0.5994  lr: 0.0000 
ep/it:624-  57 niter:239050  1246m 50s (- 1749m 39s) completed: 41%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0496  acc: 0.6024  lr: 0.0000 
ep/it:624- 107 niter:239100  1247m 5s (- 1749m 21s) completed: 41%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0495  acc: 0.5947  lr: 0.0000 
ep/it:624- 157 niter:239150  1247m 19s (- 1749m 4s) completed: 41%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0472  acc: 0.6002  lr: 0.0000 
ep/it:624- 207 niter:239200  1247m 34s (- 1748m 47s) completed: 41%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0480  acc: 0.6009  lr: 0.0000 
ep/it:624- 257 niter:239250  1247m 48s (- 1748m 29s) completed: 41%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0485  acc: 0.5963  lr: 0.0000 
ep/it:624- 307 niter:239300  1248m 2s (- 1748m 12s) completed: 41%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0476  acc: 0.5942  lr: 0.0000 
ep/it:624- 357 niter:239350  1248m 17s (- 1747m 55s) completed: 41%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0490  acc: 0.5947  lr: 0.0000 
Validation loss:1.595, accuracy:0.563
ep/it:625-  24 niter:239400  1248m 33s (- 1747m 40s) completed: 41%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0490  acc: 0.6048  lr: 0.0000 
ep/it:625-  74 niter:239450  1248m 48s (- 1747m 23s) completed: 41%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0478  acc: 0.5968  lr: 0.0000 
ep/it:625- 124 niter:239500  1249m 2s (- 1747m 5s) completed: 41%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0470  acc: 0.5913  lr: 0.0000 
ep/it:625- 174 niter:239550  1249m 17s (- 1746m 49s) completed: 41%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0490  acc: 0.6026  lr: 0.0000 
ep/it:625- 224 niter:239600  1249m 32s (- 1746m 31s) completed: 41%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0496  acc: 0.5970  lr: 0.0000 
ep/it:625- 274 niter:239650  1249m 46s (- 1746m 14s) completed: 41%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0482  acc: 0.5982  lr: 0.0000 
ep/it:625- 324 niter:239700  1250m 0s (- 1745m 56s) completed: 41%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0475  acc: 0.5974  lr: 0.0000 
ep/it:625- 374 niter:239750  1250m 14s (- 1745m 39s) completed: 41%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0488  acc: 0.6002  lr: 0.0000 
Validation loss:1.596, accuracy:0.563
ep/it:626-  41 niter:239800  1250m 31s (- 1745m 25s) completed: 41%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0479  acc: 0.5959  lr: 0.0000 
ep/it:626-  91 niter:239850  1250m 45s (- 1745m 7s) completed: 41%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0482  acc: 0.5932  lr: 0.0000 
ep/it:626- 141 niter:239900  1250m 59s (- 1744m 49s) completed: 41%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0477  acc: 0.5939  lr: 0.0000 
ep/it:626- 191 niter:239950  1251m 14s (- 1744m 32s) completed: 41%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0491  acc: 0.5986  lr: 0.0000 
ep/it:626- 241 niter:240000  1251m 28s (- 1744m 15s) completed: 41%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0479  acc: 0.6014  lr: 0.0000 
ep/it:626- 291 niter:240050  1251m 43s (- 1743m 57s) completed: 41%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0470  acc: 0.5934  lr: 0.0000 
ep/it:626- 341 niter:240100  1251m 57s (- 1743m 40s) completed: 41%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0494  acc: 0.5983  lr: 0.0000 
Validation loss:1.589, accuracy:0.565
ep/it:627-   8 niter:240150  1252m 14s (- 1743m 26s) completed: 41%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0486  acc: 0.6029  lr: 0.0000 
ep/it:627-  58 niter:240200  1252m 28s (- 1743m 8s) completed: 41%) loss_emb: 0.0000  loss: 1.3507  loss_TTT: 0.0488  acc: 0.6092  lr: 0.0000 
ep/it:627- 108 niter:240250  1252m 42s (- 1742m 50s) completed: 41%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0476  acc: 0.5975  lr: 0.0000 
ep/it:627- 158 niter:240300  1252m 56s (- 1742m 32s) completed: 41%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0483  acc: 0.6008  lr: 0.0000 
ep/it:627- 208 niter:240350  1253m 10s (- 1742m 14s) completed: 41%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0492  acc: 0.5953  lr: 0.0000 
ep/it:627- 258 niter:240400  1253m 24s (- 1741m 56s) completed: 41%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0470  acc: 0.5994  lr: 0.0000 
ep/it:627- 308 niter:240450  1253m 38s (- 1741m 38s) completed: 41%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0496  acc: 0.6043  lr: 0.0000 
ep/it:627- 358 niter:240500  1253m 52s (- 1741m 20s) completed: 41%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0486  acc: 0.6045  lr: 0.0000 
Validation loss:1.586, accuracy:0.566
ep/it:628-  25 niter:240550  1254m 9s (- 1741m 7s) completed: 41%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0483  acc: 0.5951  lr: 0.0000 
ep/it:628-  75 niter:240600  1254m 23s (- 1740m 49s) completed: 41%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0480  acc: 0.6031  lr: 0.0000 
ep/it:628- 125 niter:240650  1254m 38s (- 1740m 32s) completed: 41%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0499  acc: 0.5936  lr: 0.0000 
ep/it:628- 175 niter:240700  1254m 51s (- 1740m 14s) completed: 41%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0489  acc: 0.5964  lr: 0.0000 
ep/it:628- 225 niter:240750  1255m 6s (- 1739m 56s) completed: 41%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0498  acc: 0.5996  lr: 0.0000 
ep/it:628- 275 niter:240800  1255m 21s (- 1739m 39s) completed: 41%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0488  acc: 0.5980  lr: 0.0000 
ep/it:628- 325 niter:240850  1255m 35s (- 1739m 22s) completed: 41%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0487  acc: 0.5926  lr: 0.0000 
ep/it:628- 375 niter:240900  1255m 49s (- 1739m 4s) completed: 41%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0501  acc: 0.6011  lr: 0.0000 
Validation loss:1.579, accuracy:0.568
ep/it:629-  42 niter:240950  1256m 6s (- 1738m 51s) completed: 41%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0466  acc: 0.6003  lr: 0.0000 
ep/it:629-  92 niter:241000  1256m 21s (- 1738m 33s) completed: 41%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0510  acc: 0.5973  lr: 0.0000 
ep/it:629- 142 niter:241050  1256m 35s (- 1738m 16s) completed: 41%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0478  acc: 0.6055  lr: 0.0000 
ep/it:629- 192 niter:241100  1256m 50s (- 1737m 59s) completed: 41%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0491  acc: 0.5915  lr: 0.0000 
ep/it:629- 242 niter:241150  1257m 4s (- 1737m 41s) completed: 41%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0490  acc: 0.5980  lr: 0.0000 
ep/it:629- 292 niter:241200  1257m 19s (- 1737m 24s) completed: 41%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0495  acc: 0.5924  lr: 0.0000 
ep/it:629- 342 niter:241250  1257m 33s (- 1737m 7s) completed: 41%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0473  acc: 0.5981  lr: 0.0000 
Validation loss:1.595, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.74it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.54s/it]
 68%|██████▊   | 32/47 [01:19<00:37,  2.48s/it]
100%|██████████| 47/47 [01:19<00:00,  1.69s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.27634746115655 avg: 39.27634746115655
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.9541654670611 avg: 39.115256464108825
--> 	 Eva. Repeat 0 :, FID. 0.0750, Diversity Real. 9.1108, Diversity. 9.4324, R_precision_real. [0.52539062 0.72558594 0.81542969], R_precision. [0.53222656 0.71777344 0.80761719], matching_score_real. 2.8826, matching_score_pred. 2.8867, skate_ratio. 0.0495, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0508 (traj_fail_50cm (Traj err)): 0.0029 (kps_fail_20cm): 0.0060 (kps_fail_50cm (Loc. err)): 0.0000 (kps_mean_err(m) (Avg. err)): 0.0258 
ep/it:630-   9 niter:241300  1259m 10s (- 1738m 44s) completed: 42%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0487  acc: 0.5987  lr: 0.0000 
ep/it:630-  59 niter:241350  1259m 24s (- 1738m 26s) completed: 42%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0486  acc: 0.5952  lr: 0.0000 
ep/it:630- 109 niter:241400  1259m 38s (- 1738m 8s) completed: 42%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0480  acc: 0.5971  lr: 0.0000 
ep/it:630- 159 niter:241450  1259m 53s (- 1737m 51s) completed: 42%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0502  acc: 0.5964  lr: 0.0000 
ep/it:630- 209 niter:241500  1260m 8s (- 1737m 34s) completed: 42%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0486  acc: 0.6075  lr: 0.0000 
ep/it:630- 259 niter:241550  1260m 23s (- 1737m 17s) completed: 42%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0479  acc: 0.5991  lr: 0.0000 
ep/it:630- 309 niter:241600  1260m 36s (- 1736m 59s) completed: 42%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0497  acc: 0.6037  lr: 0.0000 
ep/it:630- 359 niter:241650  1260m 51s (- 1736m 42s) completed: 42%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0476  acc: 0.6007  lr: 0.0000 
Validation loss:1.559, accuracy:0.572
ep/it:631-  26 niter:241700  1261m 8s (- 1736m 29s) completed: 42%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0494  acc: 0.5940  lr: 0.0000 
ep/it:631-  76 niter:241750  1261m 23s (- 1736m 12s) completed: 42%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0477  acc: 0.6025  lr: 0.0000 
ep/it:631- 126 niter:241800  1261m 38s (- 1735m 55s) completed: 42%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0494  acc: 0.5952  lr: 0.0000 
ep/it:631- 176 niter:241850  1261m 52s (- 1735m 38s) completed: 42%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0471  acc: 0.6003  lr: 0.0000 
ep/it:631- 226 niter:241900  1262m 7s (- 1735m 21s) completed: 42%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0501  acc: 0.6020  lr: 0.0000 
ep/it:631- 276 niter:241950  1262m 21s (- 1735m 3s) completed: 42%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0484  acc: 0.6007  lr: 0.0000 
ep/it:631- 326 niter:242000  1262m 36s (- 1734m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0497  acc: 0.6008  lr: 0.0000 
ep/it:631- 376 niter:242050  1262m 51s (- 1734m 29s) completed: 42%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0489  acc: 0.6048  lr: 0.0000 
Validation loss:1.553, accuracy:0.575
ep/it:632-  43 niter:242100  1263m 8s (- 1734m 16s) completed: 42%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0479  acc: 0.6083  lr: 0.0000 
ep/it:632-  93 niter:242150  1263m 22s (- 1733m 59s) completed: 42%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0464  acc: 0.5972  lr: 0.0000 
ep/it:632- 143 niter:242200  1263m 37s (- 1733m 42s) completed: 42%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0493  acc: 0.5996  lr: 0.0000 
ep/it:632- 193 niter:242250  1263m 51s (- 1733m 24s) completed: 42%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0475  acc: 0.5988  lr: 0.0000 
ep/it:632- 243 niter:242300  1264m 6s (- 1733m 7s) completed: 42%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0472  acc: 0.5997  lr: 0.0000 
ep/it:632- 293 niter:242350  1264m 21s (- 1732m 50s) completed: 42%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0476  acc: 0.5978  lr: 0.0000 
ep/it:632- 343 niter:242400  1264m 35s (- 1732m 33s) completed: 42%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0478  acc: 0.6067  lr: 0.0000 
Validation loss:1.621, accuracy:0.558
ep/it:633-  10 niter:242450  1264m 52s (- 1732m 19s) completed: 42%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0504  acc: 0.6013  lr: 0.0000 
ep/it:633-  60 niter:242500  1265m 7s (- 1732m 2s) completed: 42%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0478  acc: 0.5943  lr: 0.0000 
ep/it:633- 110 niter:242550  1265m 22s (- 1731m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0500  acc: 0.6030  lr: 0.0000 
ep/it:633- 160 niter:242600  1265m 36s (- 1731m 28s) completed: 42%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0477  acc: 0.6006  lr: 0.0000 
ep/it:633- 210 niter:242650  1265m 51s (- 1731m 11s) completed: 42%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0481  acc: 0.5997  lr: 0.0000 
ep/it:633- 260 niter:242700  1266m 5s (- 1730m 54s) completed: 42%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0488  acc: 0.5993  lr: 0.0000 
ep/it:633- 310 niter:242750  1266m 20s (- 1730m 36s) completed: 42%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0480  acc: 0.6007  lr: 0.0000 
ep/it:633- 360 niter:242800  1266m 34s (- 1730m 19s) completed: 42%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0471  acc: 0.6000  lr: 0.0000 
Validation loss:1.589, accuracy:0.567
ep/it:634-  27 niter:242850  1266m 52s (- 1730m 6s) completed: 42%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0488  acc: 0.5937  lr: 0.0000 
ep/it:634-  77 niter:242900  1267m 6s (- 1729m 49s) completed: 42%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0473  acc: 0.6001  lr: 0.0000 
ep/it:634- 127 niter:242950  1267m 20s (- 1729m 31s) completed: 42%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0495  acc: 0.6047  lr: 0.0000 
ep/it:634- 177 niter:243000  1267m 35s (- 1729m 14s) completed: 42%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0481  acc: 0.5948  lr: 0.0000 
ep/it:634- 227 niter:243050  1267m 50s (- 1728m 57s) completed: 42%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0479  acc: 0.5943  lr: 0.0000 
ep/it:634- 277 niter:243100  1268m 4s (- 1728m 40s) completed: 42%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0478  acc: 0.5933  lr: 0.0000 
ep/it:634- 327 niter:243150  1268m 19s (- 1728m 24s) completed: 42%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0491  acc: 0.5976  lr: 0.0000 
ep/it:634- 377 niter:243200  1268m 33s (- 1728m 6s) completed: 42%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0488  acc: 0.5984  lr: 0.0000 
Validation loss:1.581, accuracy:0.566
ep/it:635-  44 niter:243250  1268m 51s (- 1727m 53s) completed: 42%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0491  acc: 0.5938  lr: 0.0000 
ep/it:635-  94 niter:243300  1269m 6s (- 1727m 36s) completed: 42%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0485  acc: 0.5985  lr: 0.0000 
ep/it:635- 144 niter:243350  1269m 20s (- 1727m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0475  acc: 0.6010  lr: 0.0000 
ep/it:635- 194 niter:243400  1269m 35s (- 1727m 2s) completed: 42%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0476  acc: 0.5995  lr: 0.0000 
ep/it:635- 244 niter:243450  1269m 49s (- 1726m 44s) completed: 42%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0484  acc: 0.5977  lr: 0.0000 
ep/it:635- 294 niter:243500  1270m 3s (- 1726m 27s) completed: 42%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0505  acc: 0.5998  lr: 0.0000 
ep/it:635- 344 niter:243550  1270m 18s (- 1726m 10s) completed: 42%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0479  acc: 0.6065  lr: 0.0000 
Validation loss:1.607, accuracy:0.559
ep/it:636-  11 niter:243600  1270m 36s (- 1725m 57s) completed: 42%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0501  acc: 0.5973  lr: 0.0000 
ep/it:636-  61 niter:243650  1270m 50s (- 1725m 39s) completed: 42%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0482  acc: 0.5988  lr: 0.0000 
ep/it:636- 111 niter:243700  1271m 4s (- 1725m 21s) completed: 42%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0473  acc: 0.5995  lr: 0.0000 
ep/it:636- 161 niter:243750  1271m 18s (- 1725m 4s) completed: 42%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0499  acc: 0.6016  lr: 0.0000 
ep/it:636- 211 niter:243800  1271m 33s (- 1724m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0480  acc: 0.6018  lr: 0.0000 
ep/it:636- 261 niter:243850  1271m 47s (- 1724m 29s) completed: 42%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0483  acc: 0.5974  lr: 0.0000 
ep/it:636- 311 niter:243900  1272m 1s (- 1724m 11s) completed: 42%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0486  acc: 0.5905  lr: 0.0000 
ep/it:636- 361 niter:243950  1272m 15s (- 1723m 54s) completed: 42%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0504  acc: 0.5907  lr: 0.0000 
Validation loss:1.552, accuracy:0.575
ep/it:637-  28 niter:244000  1272m 32s (- 1723m 40s) completed: 42%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0470  acc: 0.6004  lr: 0.0000 
ep/it:637-  78 niter:244050  1272m 47s (- 1723m 24s) completed: 42%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0513  acc: 0.5937  lr: 0.0000 
ep/it:637- 128 niter:244100  1273m 2s (- 1723m 6s) completed: 42%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0470  acc: 0.5966  lr: 0.0000 
ep/it:637- 178 niter:244150  1273m 16s (- 1722m 49s) completed: 42%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0486  acc: 0.6027  lr: 0.0000 
ep/it:637- 228 niter:244200  1273m 31s (- 1722m 32s) completed: 42%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0476  acc: 0.6033  lr: 0.0000 
ep/it:637- 278 niter:244250  1273m 45s (- 1722m 15s) completed: 42%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0498  acc: 0.5975  lr: 0.0000 
ep/it:637- 328 niter:244300  1274m 0s (- 1721m 57s) completed: 42%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0482  acc: 0.5942  lr: 0.0000 
ep/it:637- 378 niter:244350  1274m 14s (- 1721m 40s) completed: 42%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0476  acc: 0.5996  lr: 0.0000 
Validation loss:1.611, accuracy:0.561
ep/it:638-  45 niter:244400  1274m 31s (- 1721m 26s) completed: 42%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0489  acc: 0.5917  lr: 0.0000 
ep/it:638-  95 niter:244450  1274m 45s (- 1721m 8s) completed: 42%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0479  acc: 0.5963  lr: 0.0000 
ep/it:638- 145 niter:244500  1275m 0s (- 1720m 51s) completed: 42%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0495  acc: 0.5955  lr: 0.0000 
ep/it:638- 195 niter:244550  1275m 14s (- 1720m 34s) completed: 42%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0479  acc: 0.5931  lr: 0.0000 
ep/it:638- 245 niter:244600  1275m 29s (- 1720m 17s) completed: 42%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0476  acc: 0.6018  lr: 0.0000 
ep/it:638- 295 niter:244650  1275m 43s (- 1719m 59s) completed: 42%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0473  acc: 0.5968  lr: 0.0000 
ep/it:638- 345 niter:244700  1275m 57s (- 1719m 42s) completed: 42%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0469  acc: 0.5951  lr: 0.0000 
Validation loss:1.642, accuracy:0.551
ep/it:639-  12 niter:244750  1276m 14s (- 1719m 28s) completed: 42%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0475  acc: 0.6047  lr: 0.0000 
ep/it:639-  62 niter:244800  1276m 29s (- 1719m 11s) completed: 42%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0485  acc: 0.6008  lr: 0.0000 
ep/it:639- 112 niter:244850  1276m 43s (- 1718m 53s) completed: 42%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0485  acc: 0.5961  lr: 0.0000 
ep/it:639- 162 niter:244900  1276m 58s (- 1718m 36s) completed: 42%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0485  acc: 0.5997  lr: 0.0000 
ep/it:639- 212 niter:244950  1277m 12s (- 1718m 19s) completed: 42%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0494  acc: 0.6005  lr: 0.0000 
ep/it:639- 262 niter:245000  1277m 27s (- 1718m 2s) completed: 42%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0490  acc: 0.6012  lr: 0.0000 
ep/it:639- 312 niter:245050  1277m 42s (- 1717m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0494  acc: 0.6053  lr: 0.0000 
ep/it:639- 362 niter:245100  1277m 56s (- 1717m 28s) completed: 42%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0464  acc: 0.6045  lr: 0.0000 
Validation loss:1.560, accuracy:0.572

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.79it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.15891057159752 avg: 39.15891057159752
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.69471449311823 avg: 38.92681253235787
--> 	 Eva. Repeat 0 :, FID. 0.0832, Diversity Real. 9.7721, Diversity. 9.6177, R_precision_real. [0.52636719 0.72753906 0.81933594], R_precision. [0.53710938 0.73046875 0.81738281], matching_score_real. 2.8639, matching_score_pred. 2.8826, skate_ratio. 0.0498, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0684 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0133 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0292 
ep/it:640-  29 niter:245150  1279m 33s (- 1719m 1s) completed: 42%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0471  acc: 0.5953  lr: 0.0000 
ep/it:640-  79 niter:245200  1279m 47s (- 1718m 44s) completed: 42%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0469  acc: 0.6036  lr: 0.0000 
ep/it:640- 129 niter:245250  1280m 2s (- 1718m 27s) completed: 42%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0472  acc: 0.5982  lr: 0.0000 
ep/it:640- 179 niter:245300  1280m 16s (- 1718m 10s) completed: 42%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0498  acc: 0.5888  lr: 0.0000 
ep/it:640- 229 niter:245350  1280m 31s (- 1717m 53s) completed: 42%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0466  acc: 0.5976  lr: 0.0000 
ep/it:640- 279 niter:245400  1280m 45s (- 1717m 35s) completed: 42%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0490  acc: 0.5999  lr: 0.0000 
ep/it:640- 329 niter:245450  1280m 59s (- 1717m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0477  acc: 0.6040  lr: 0.0000 
ep/it:640- 379 niter:245500  1281m 14s (- 1717m 1s) completed: 42%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0490  acc: 0.5956  lr: 0.0000 
Validation loss:1.543, accuracy:0.579
ep/it:641-  46 niter:245550  1281m 32s (- 1716m 48s) completed: 42%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0494  acc: 0.6006  lr: 0.0000 
ep/it:641-  96 niter:245600  1281m 46s (- 1716m 31s) completed: 42%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0476  acc: 0.6077  lr: 0.0000 
ep/it:641- 146 niter:245650  1282m 1s (- 1716m 13s) completed: 42%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0485  acc: 0.6025  lr: 0.0000 
ep/it:641- 196 niter:245700  1282m 15s (- 1715m 56s) completed: 42%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0477  acc: 0.5976  lr: 0.0000 
ep/it:641- 246 niter:245750  1282m 29s (- 1715m 39s) completed: 42%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0475  acc: 0.5972  lr: 0.0000 
ep/it:641- 296 niter:245800  1282m 44s (- 1715m 22s) completed: 42%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0482  acc: 0.5994  lr: 0.0000 
ep/it:641- 346 niter:245850  1282m 59s (- 1715m 5s) completed: 42%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0474  acc: 0.6002  lr: 0.0000 
Validation loss:1.593, accuracy:0.563
ep/it:642-  13 niter:245900  1283m 17s (- 1714m 52s) completed: 42%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0480  acc: 0.6002  lr: 0.0000 
ep/it:642-  63 niter:245950  1283m 31s (- 1714m 35s) completed: 42%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0511  acc: 0.5993  lr: 0.0000 
ep/it:642- 113 niter:246000  1283m 46s (- 1714m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0500  acc: 0.5983  lr: 0.0000 
ep/it:642- 163 niter:246050  1284m 0s (- 1714m 1s) completed: 42%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0474  acc: 0.6039  lr: 0.0000 
ep/it:642- 213 niter:246100  1284m 15s (- 1713m 43s) completed: 42%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0496  acc: 0.5943  lr: 0.0000 
ep/it:642- 263 niter:246150  1284m 29s (- 1713m 26s) completed: 42%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0483  acc: 0.6002  lr: 0.0000 
ep/it:642- 313 niter:246200  1284m 43s (- 1713m 7s) completed: 42%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0488  acc: 0.6050  lr: 0.0000 
ep/it:642- 363 niter:246250  1284m 57s (- 1712m 50s) completed: 42%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0467  acc: 0.5984  lr: 0.0000 
Validation loss:1.586, accuracy:0.566
ep/it:643-  30 niter:246300  1285m 14s (- 1712m 37s) completed: 42%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0477  acc: 0.5962  lr: 0.0000 
ep/it:643-  80 niter:246350  1285m 29s (- 1712m 20s) completed: 42%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0479  acc: 0.5974  lr: 0.0000 
ep/it:643- 130 niter:246400  1285m 44s (- 1712m 3s) completed: 42%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0501  acc: 0.5975  lr: 0.0000 
ep/it:643- 180 niter:246450  1285m 58s (- 1711m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0469  acc: 0.6002  lr: 0.0000 
ep/it:643- 230 niter:246500  1286m 12s (- 1711m 28s) completed: 42%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0473  acc: 0.6012  lr: 0.0000 
ep/it:643- 280 niter:246550  1286m 27s (- 1711m 12s) completed: 42%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0477  acc: 0.6050  lr: 0.0000 
ep/it:643- 330 niter:246600  1286m 42s (- 1710m 55s) completed: 42%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0490  acc: 0.5987  lr: 0.0000 
ep/it:643- 380 niter:246650  1286m 57s (- 1710m 37s) completed: 42%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0474  acc: 0.5993  lr: 0.0000 
Validation loss:1.578, accuracy:0.568
ep/it:644-  47 niter:246700  1287m 14s (- 1710m 24s) completed: 42%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0501  acc: 0.5957  lr: 0.0000 
ep/it:644-  97 niter:246750  1287m 29s (- 1710m 8s) completed: 42%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0502  acc: 0.5933  lr: 0.0000 
ep/it:644- 147 niter:246800  1287m 44s (- 1709m 51s) completed: 42%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0472  acc: 0.6037  lr: 0.0000 
ep/it:644- 197 niter:246850  1287m 58s (- 1709m 33s) completed: 42%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0471  acc: 0.5954  lr: 0.0000 
ep/it:644- 247 niter:246900  1288m 13s (- 1709m 16s) completed: 42%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0504  acc: 0.5971  lr: 0.0000 
ep/it:644- 297 niter:246950  1288m 27s (- 1708m 59s) completed: 42%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0491  acc: 0.6004  lr: 0.0000 
ep/it:644- 347 niter:247000  1288m 42s (- 1708m 42s) completed: 42%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0471  acc: 0.6017  lr: 0.0000 
Validation loss:1.582, accuracy:0.565
ep/it:645-  14 niter:247050  1288m 59s (- 1708m 28s) completed: 43%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0478  acc: 0.6078  lr: 0.0000 
ep/it:645-  64 niter:247100  1289m 14s (- 1708m 11s) completed: 43%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0471  acc: 0.6011  lr: 0.0000 
ep/it:645- 114 niter:247150  1289m 28s (- 1707m 53s) completed: 43%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0477  acc: 0.5987  lr: 0.0000 
ep/it:645- 164 niter:247200  1289m 43s (- 1707m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0490  acc: 0.5966  lr: 0.0000 
ep/it:645- 214 niter:247250  1289m 57s (- 1707m 20s) completed: 43%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0490  acc: 0.5987  lr: 0.0000 
ep/it:645- 264 niter:247300  1290m 12s (- 1707m 3s) completed: 43%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0486  acc: 0.5976  lr: 0.0000 
ep/it:645- 314 niter:247350  1290m 26s (- 1706m 46s) completed: 43%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0470  acc: 0.5980  lr: 0.0000 
ep/it:645- 364 niter:247400  1290m 40s (- 1706m 28s) completed: 43%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0484  acc: 0.5979  lr: 0.0000 
Validation loss:1.591, accuracy:0.565
ep/it:646-  31 niter:247450  1290m 57s (- 1706m 14s) completed: 43%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0478  acc: 0.5922  lr: 0.0000 
ep/it:646-  81 niter:247500  1291m 12s (- 1705m 57s) completed: 43%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0494  acc: 0.5963  lr: 0.0000 
ep/it:646- 131 niter:247550  1291m 27s (- 1705m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0484  acc: 0.5975  lr: 0.0000 
ep/it:646- 181 niter:247600  1291m 41s (- 1705m 22s) completed: 43%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0483  acc: 0.5927  lr: 0.0000 
ep/it:646- 231 niter:247650  1291m 55s (- 1705m 5s) completed: 43%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0492  acc: 0.5951  lr: 0.0000 
ep/it:646- 281 niter:247700  1292m 10s (- 1704m 48s) completed: 43%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0479  acc: 0.5957  lr: 0.0000 
ep/it:646- 331 niter:247750  1292m 24s (- 1704m 31s) completed: 43%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0495  acc: 0.6002  lr: 0.0000 
ep/it:646- 381 niter:247800  1292m 39s (- 1704m 13s) completed: 43%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0492  acc: 0.6009  lr: 0.0000 
Validation loss:1.597, accuracy:0.564
ep/it:647-  48 niter:247850  1292m 56s (- 1704m 0s) completed: 43%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0476  acc: 0.6032  lr: 0.0000 
ep/it:647-  98 niter:247900  1293m 11s (- 1703m 43s) completed: 43%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0475  acc: 0.5961  lr: 0.0000 
ep/it:647- 148 niter:247950  1293m 25s (- 1703m 26s) completed: 43%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0490  acc: 0.6011  lr: 0.0000 
ep/it:647- 198 niter:248000  1293m 40s (- 1703m 9s) completed: 43%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0474  acc: 0.5940  lr: 0.0000 
ep/it:647- 248 niter:248050  1293m 54s (- 1702m 52s) completed: 43%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0479  acc: 0.6003  lr: 0.0000 
ep/it:647- 298 niter:248100  1294m 9s (- 1702m 35s) completed: 43%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0481  acc: 0.6068  lr: 0.0000 
ep/it:647- 348 niter:248150  1294m 24s (- 1702m 18s) completed: 43%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0478  acc: 0.5955  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:648-  15 niter:248200  1294m 41s (- 1702m 5s) completed: 43%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0493  acc: 0.5957  lr: 0.0000 
ep/it:648-  65 niter:248250  1294m 56s (- 1701m 48s) completed: 43%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0493  acc: 0.6053  lr: 0.0000 
ep/it:648- 115 niter:248300  1295m 10s (- 1701m 31s) completed: 43%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0490  acc: 0.5977  lr: 0.0000 
ep/it:648- 165 niter:248350  1295m 25s (- 1701m 14s) completed: 43%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0467  acc: 0.6036  lr: 0.0000 
ep/it:648- 215 niter:248400  1295m 40s (- 1700m 57s) completed: 43%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0494  acc: 0.5939  lr: 0.0000 
ep/it:648- 265 niter:248450  1295m 54s (- 1700m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0506  acc: 0.5924  lr: 0.0000 
ep/it:648- 315 niter:248500  1296m 9s (- 1700m 23s) completed: 43%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0483  acc: 0.5966  lr: 0.0000 
ep/it:648- 365 niter:248550  1296m 23s (- 1700m 6s) completed: 43%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0485  acc: 0.5910  lr: 0.0000 
Validation loss:1.609, accuracy:0.561
ep/it:649-  32 niter:248600  1296m 41s (- 1699m 53s) completed: 43%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0483  acc: 0.5940  lr: 0.0000 
ep/it:649-  82 niter:248650  1296m 56s (- 1699m 36s) completed: 43%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0464  acc: 0.5999  lr: 0.0000 
ep/it:649- 132 niter:248700  1297m 10s (- 1699m 18s) completed: 43%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0503  acc: 0.5934  lr: 0.0000 
ep/it:649- 182 niter:248750  1297m 24s (- 1699m 1s) completed: 43%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0476  acc: 0.5937  lr: 0.0000 
ep/it:649- 232 niter:248800  1297m 39s (- 1698m 44s) completed: 43%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0470  acc: 0.6029  lr: 0.0000 
ep/it:649- 282 niter:248850  1297m 53s (- 1698m 27s) completed: 43%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0472  acc: 0.5978  lr: 0.0000 
ep/it:649- 332 niter:248900  1298m 8s (- 1698m 10s) completed: 43%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0500  acc: 0.5986  lr: 0.0000 
ep/it:649- 382 niter:248950  1298m 22s (- 1697m 52s) completed: 43%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0495  acc: 0.5956  lr: 0.0000 
Validation loss:1.629, accuracy:0.556

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.79it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.47437352500856 avg: 38.47437352500856
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.684385859407485 avg: 38.57937969220802
--> 	 Eva. Repeat 0 :, FID. 0.1325, Diversity Real. 9.4984, Diversity. 9.7324, R_precision_real. [0.49511719 0.68652344 0.796875  ], R_precision. [0.50195312 0.69921875 0.8046875 ], matching_score_real. 2.9141, matching_score_pred. 2.9363, skate_ratio. 0.0505, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0449 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0084 (kps_fail_50cm (Loc. err)): 0.0011 (kps_mean_err(m) (Avg. err)): 0.0271 
ep/it:650-  49 niter:249000  1299m 58s (- 1699m 21s) completed: 43%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0481  acc: 0.5989  lr: 0.0000 
ep/it:650-  99 niter:249050  1300m 12s (- 1699m 4s) completed: 43%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0473  acc: 0.5970  lr: 0.0000 
ep/it:650- 149 niter:249100  1300m 27s (- 1698m 47s) completed: 43%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0477  acc: 0.6068  lr: 0.0000 
ep/it:650- 199 niter:249150  1300m 42s (- 1698m 30s) completed: 43%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0464  acc: 0.5932  lr: 0.0000 
ep/it:650- 249 niter:249200  1300m 56s (- 1698m 13s) completed: 43%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0480  acc: 0.6043  lr: 0.0000 
ep/it:650- 299 niter:249250  1301m 11s (- 1697m 56s) completed: 43%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0481  acc: 0.5988  lr: 0.0000 
ep/it:650- 349 niter:249300  1301m 25s (- 1697m 39s) completed: 43%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0482  acc: 0.5896  lr: 0.0000 
Validation loss:1.625, accuracy:0.555
ep/it:651-  16 niter:249350  1301m 42s (- 1697m 25s) completed: 43%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0506  acc: 0.6031  lr: 0.0000 
ep/it:651-  66 niter:249400  1301m 57s (- 1697m 8s) completed: 43%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0483  acc: 0.5921  lr: 0.0000 
ep/it:651- 116 niter:249450  1302m 12s (- 1696m 51s) completed: 43%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0485  acc: 0.5943  lr: 0.0000 
ep/it:651- 166 niter:249500  1302m 26s (- 1696m 33s) completed: 43%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0487  acc: 0.6030  lr: 0.0000 
ep/it:651- 216 niter:249550  1302m 41s (- 1696m 16s) completed: 43%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0478  acc: 0.6067  lr: 0.0000 
ep/it:651- 266 niter:249600  1302m 55s (- 1696m 0s) completed: 43%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0484  acc: 0.5882  lr: 0.0000 
ep/it:651- 316 niter:249650  1303m 9s (- 1695m 42s) completed: 43%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0500  acc: 0.6012  lr: 0.0000 
ep/it:651- 366 niter:249700  1303m 24s (- 1695m 25s) completed: 43%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0470  acc: 0.6024  lr: 0.0000 
Validation loss:1.618, accuracy:0.558
ep/it:652-  33 niter:249750  1303m 41s (- 1695m 11s) completed: 43%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0481  acc: 0.6023  lr: 0.0000 
ep/it:652-  83 niter:249800  1303m 55s (- 1694m 54s) completed: 43%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0486  acc: 0.5969  lr: 0.0000 
ep/it:652- 133 niter:249850  1304m 10s (- 1694m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0477  acc: 0.6030  lr: 0.0000 
ep/it:652- 183 niter:249900  1304m 25s (- 1694m 20s) completed: 43%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0490  acc: 0.5982  lr: 0.0000 
ep/it:652- 233 niter:249950  1304m 39s (- 1694m 2s) completed: 43%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0480  acc: 0.5941  lr: 0.0000 
ep/it:652- 283 niter:250000  1304m 53s (- 1693m 45s) completed: 43%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0479  acc: 0.5978  lr: 0.0000 
ep/it:652- 333 niter:250050  1305m 8s (- 1693m 28s) completed: 43%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0458  acc: 0.5982  lr: 0.0000 
Validation loss:1.609, accuracy:0.559
ep/it:653-   0 niter:250100  1305m 25s (- 1693m 15s) completed: 43%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0473  acc: 0.5946  lr: 0.0000 
ep/it:653-  50 niter:250150  1305m 40s (- 1692m 57s) completed: 43%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0468  acc: 0.6047  lr: 0.0000 
ep/it:653- 100 niter:250200  1305m 55s (- 1692m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0496  acc: 0.5957  lr: 0.0000 
ep/it:653- 150 niter:250250  1306m 9s (- 1692m 23s) completed: 43%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0471  acc: 0.6001  lr: 0.0000 
ep/it:653- 200 niter:250300  1306m 23s (- 1692m 5s) completed: 43%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0463  acc: 0.5974  lr: 0.0000 
ep/it:653- 250 niter:250350  1306m 37s (- 1691m 48s) completed: 43%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0497  acc: 0.6023  lr: 0.0000 
ep/it:653- 300 niter:250400  1306m 51s (- 1691m 30s) completed: 43%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0483  acc: 0.5960  lr: 0.0000 
ep/it:653- 350 niter:250450  1307m 6s (- 1691m 13s) completed: 43%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0475  acc: 0.6040  lr: 0.0000 
Validation loss:1.530, accuracy:0.580
ep/it:654-  17 niter:250500  1307m 23s (- 1691m 0s) completed: 43%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0493  acc: 0.5945  lr: 0.0000 
ep/it:654-  67 niter:250550  1307m 38s (- 1690m 43s) completed: 43%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0476  acc: 0.5962  lr: 0.0000 
ep/it:654- 117 niter:250600  1307m 52s (- 1690m 26s) completed: 43%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0476  acc: 0.5964  lr: 0.0000 
ep/it:654- 167 niter:250650  1308m 7s (- 1690m 8s) completed: 43%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0488  acc: 0.5967  lr: 0.0000 
ep/it:654- 217 niter:250700  1308m 22s (- 1689m 52s) completed: 43%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0480  acc: 0.5997  lr: 0.0000 
ep/it:654- 267 niter:250750  1308m 36s (- 1689m 34s) completed: 43%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0473  acc: 0.5988  lr: 0.0000 
ep/it:654- 317 niter:250800  1308m 51s (- 1689m 17s) completed: 43%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0478  acc: 0.6079  lr: 0.0000 
ep/it:654- 367 niter:250850  1309m 5s (- 1689m 0s) completed: 43%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0481  acc: 0.5988  lr: 0.0000 
Validation loss:1.648, accuracy:0.551
ep/it:655-  34 niter:250900  1309m 23s (- 1688m 47s) completed: 43%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0479  acc: 0.5967  lr: 0.0000 
ep/it:655-  84 niter:250950  1309m 37s (- 1688m 29s) completed: 43%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0487  acc: 0.5971  lr: 0.0000 
ep/it:655- 134 niter:251000  1309m 51s (- 1688m 12s) completed: 43%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0478  acc: 0.5990  lr: 0.0000 
ep/it:655- 184 niter:251050  1310m 5s (- 1687m 54s) completed: 43%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0476  acc: 0.5944  lr: 0.0000 
ep/it:655- 234 niter:251100  1310m 19s (- 1687m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0472  acc: 0.6012  lr: 0.0000 
ep/it:655- 284 niter:251150  1310m 34s (- 1687m 19s) completed: 43%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0488  acc: 0.5955  lr: 0.0000 
ep/it:655- 334 niter:251200  1310m 48s (- 1687m 2s) completed: 43%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0494  acc: 0.5953  lr: 0.0000 
Validation loss:1.578, accuracy:0.567
ep/it:656-   1 niter:251250  1311m 5s (- 1686m 48s) completed: 43%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0479  acc: 0.6016  lr: 0.0000 
ep/it:656-  51 niter:251300  1311m 19s (- 1686m 31s) completed: 43%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0491  acc: 0.5997  lr: 0.0000 
ep/it:656- 101 niter:251350  1311m 34s (- 1686m 14s) completed: 43%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0481  acc: 0.5997  lr: 0.0000 
ep/it:656- 151 niter:251400  1311m 48s (- 1685m 56s) completed: 43%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0476  acc: 0.5960  lr: 0.0000 
ep/it:656- 201 niter:251450  1312m 3s (- 1685m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0481  acc: 0.5952  lr: 0.0000 
ep/it:656- 251 niter:251500  1312m 18s (- 1685m 23s) completed: 43%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0487  acc: 0.6004  lr: 0.0000 
ep/it:656- 301 niter:251550  1312m 32s (- 1685m 5s) completed: 43%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0480  acc: 0.6004  lr: 0.0000 
ep/it:656- 351 niter:251600  1312m 46s (- 1684m 48s) completed: 43%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0476  acc: 0.6010  lr: 0.0000 
Validation loss:1.612, accuracy:0.558
ep/it:657-  18 niter:251650  1313m 3s (- 1684m 34s) completed: 43%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0489  acc: 0.5955  lr: 0.0000 
ep/it:657-  68 niter:251700  1313m 17s (- 1684m 16s) completed: 43%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0462  acc: 0.5959  lr: 0.0000 
ep/it:657- 118 niter:251750  1313m 32s (- 1683m 59s) completed: 43%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0479  acc: 0.6023  lr: 0.0000 
ep/it:657- 168 niter:251800  1313m 46s (- 1683m 42s) completed: 43%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0480  acc: 0.5984  lr: 0.0000 
ep/it:657- 218 niter:251850  1314m 1s (- 1683m 25s) completed: 43%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0500  acc: 0.5984  lr: 0.0000 
ep/it:657- 268 niter:251900  1314m 15s (- 1683m 8s) completed: 43%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0475  acc: 0.5892  lr: 0.0000 
ep/it:657- 318 niter:251950  1314m 30s (- 1682m 51s) completed: 43%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0465  acc: 0.5945  lr: 0.0000 
ep/it:657- 368 niter:252000  1314m 45s (- 1682m 34s) completed: 43%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0496  acc: 0.6044  lr: 0.0000 
Validation loss:1.555, accuracy:0.574
ep/it:658-  35 niter:252050  1315m 2s (- 1682m 20s) completed: 43%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0486  acc: 0.6038  lr: 0.0000 
ep/it:658-  85 niter:252100  1315m 16s (- 1682m 2s) completed: 43%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0491  acc: 0.6021  lr: 0.0000 
ep/it:658- 135 niter:252150  1315m 31s (- 1681m 46s) completed: 43%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0474  acc: 0.6013  lr: 0.0000 
ep/it:658- 185 niter:252200  1315m 45s (- 1681m 28s) completed: 43%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0476  acc: 0.5943  lr: 0.0000 
ep/it:658- 235 niter:252250  1316m 0s (- 1681m 11s) completed: 43%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0482  acc: 0.5981  lr: 0.0000 
ep/it:658- 285 niter:252300  1316m 14s (- 1680m 54s) completed: 43%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0484  acc: 0.6001  lr: 0.0000 
ep/it:658- 335 niter:252350  1316m 29s (- 1680m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0483  acc: 0.5966  lr: 0.0000 
Validation loss:1.554, accuracy:0.574
ep/it:659-   2 niter:252400  1316m 46s (- 1680m 24s) completed: 43%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0478  acc: 0.6022  lr: 0.0000 
ep/it:659-  52 niter:252450  1317m 0s (- 1680m 6s) completed: 43%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0483  acc: 0.5964  lr: 0.0000 
ep/it:659- 102 niter:252500  1317m 14s (- 1679m 49s) completed: 43%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0503  acc: 0.5953  lr: 0.0000 
ep/it:659- 152 niter:252550  1317m 29s (- 1679m 32s) completed: 43%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0474  acc: 0.6019  lr: 0.0000 
ep/it:659- 202 niter:252600  1317m 44s (- 1679m 15s) completed: 43%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0482  acc: 0.6008  lr: 0.0000 
ep/it:659- 252 niter:252650  1317m 59s (- 1678m 58s) completed: 43%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0466  acc: 0.5995  lr: 0.0000 
ep/it:659- 302 niter:252700  1318m 13s (- 1678m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0489  acc: 0.5968  lr: 0.0000 
ep/it:659- 352 niter:252750  1318m 27s (- 1678m 23s) completed: 43%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0496  acc: 0.5985  lr: 0.0000 
Validation loss:1.560, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.56it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.854803022928536 avg: 38.854803022928536
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.65864800103009 avg: 38.75672551197931
--> 	 Eva. Repeat 0 :, FID. 0.0948, Diversity Real. 9.4182, Diversity. 9.6020, R_precision_real. [0.52148438 0.70898438 0.80566406], R_precision. [0.52050781 0.68847656 0.79101562], matching_score_real. 2.8923, matching_score_pred. 2.9486, skate_ratio. 0.0474, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0020 (kps_fail_20cm): 0.0095 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0263 
ep/it:660-  19 niter:252800  1320m 3s (- 1679m 50s) completed: 44%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0501  acc: 0.5938  lr: 0.0000 
ep/it:660-  69 niter:252850  1320m 17s (- 1679m 32s) completed: 44%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0489  acc: 0.5969  lr: 0.0000 
ep/it:660- 119 niter:252900  1320m 31s (- 1679m 15s) completed: 44%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0482  acc: 0.6006  lr: 0.0000 
ep/it:660- 169 niter:252950  1320m 46s (- 1678m 57s) completed: 44%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0483  acc: 0.5962  lr: 0.0000 
ep/it:660- 219 niter:253000  1321m 0s (- 1678m 40s) completed: 44%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0492  acc: 0.5894  lr: 0.0000 
ep/it:660- 269 niter:253050  1321m 15s (- 1678m 23s) completed: 44%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0466  acc: 0.6048  lr: 0.0000 
ep/it:660- 319 niter:253100  1321m 30s (- 1678m 6s) completed: 44%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0491  acc: 0.6041  lr: 0.0000 
ep/it:660- 369 niter:253150  1321m 44s (- 1677m 49s) completed: 44%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0487  acc: 0.5944  lr: 0.0000 
Validation loss:1.559, accuracy:0.572
ep/it:661-  36 niter:253200  1322m 1s (- 1677m 35s) completed: 44%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0497  acc: 0.5992  lr: 0.0000 
ep/it:661-  86 niter:253250  1322m 15s (- 1677m 18s) completed: 44%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0476  acc: 0.6022  lr: 0.0000 
ep/it:661- 136 niter:253300  1322m 30s (- 1677m 0s) completed: 44%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0485  acc: 0.6055  lr: 0.0000 
ep/it:661- 186 niter:253350  1322m 44s (- 1676m 43s) completed: 44%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0475  acc: 0.5959  lr: 0.0000 
ep/it:661- 236 niter:253400  1322m 58s (- 1676m 26s) completed: 44%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0465  acc: 0.5942  lr: 0.0000 
ep/it:661- 286 niter:253450  1323m 13s (- 1676m 8s) completed: 44%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0474  acc: 0.5924  lr: 0.0000 
ep/it:661- 336 niter:253500  1323m 27s (- 1675m 51s) completed: 44%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0480  acc: 0.6010  lr: 0.0000 
Validation loss:1.566, accuracy:0.570
ep/it:662-   3 niter:253550  1323m 45s (- 1675m 38s) completed: 44%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0477  acc: 0.6002  lr: 0.0000 
ep/it:662-  53 niter:253600  1323m 59s (- 1675m 20s) completed: 44%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0490  acc: 0.5966  lr: 0.0000 
ep/it:662- 103 niter:253650  1324m 13s (- 1675m 3s) completed: 44%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0488  acc: 0.5933  lr: 0.0000 
ep/it:662- 153 niter:253700  1324m 28s (- 1674m 46s) completed: 44%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0489  acc: 0.5990  lr: 0.0000 
ep/it:662- 203 niter:253750  1324m 43s (- 1674m 29s) completed: 44%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0476  acc: 0.6009  lr: 0.0000 
ep/it:662- 253 niter:253800  1324m 57s (- 1674m 12s) completed: 44%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0471  acc: 0.6072  lr: 0.0000 
ep/it:662- 303 niter:253850  1325m 11s (- 1673m 54s) completed: 44%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0484  acc: 0.5972  lr: 0.0000 
ep/it:662- 353 niter:253900  1325m 25s (- 1673m 36s) completed: 44%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0483  acc: 0.5970  lr: 0.0000 
Validation loss:1.612, accuracy:0.559
ep/it:663-  20 niter:253950  1325m 42s (- 1673m 22s) completed: 44%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0474  acc: 0.5992  lr: 0.0000 
ep/it:663-  70 niter:254000  1325m 56s (- 1673m 5s) completed: 44%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0460  acc: 0.6003  lr: 0.0000 
ep/it:663- 120 niter:254050  1326m 11s (- 1672m 49s) completed: 44%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0485  acc: 0.5980  lr: 0.0000 
ep/it:663- 170 niter:254100  1326m 26s (- 1672m 32s) completed: 44%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0492  acc: 0.5973  lr: 0.0000 
ep/it:663- 220 niter:254150  1326m 41s (- 1672m 15s) completed: 44%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0485  acc: 0.5953  lr: 0.0000 
ep/it:663- 270 niter:254200  1326m 56s (- 1671m 58s) completed: 44%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0476  acc: 0.5994  lr: 0.0000 
ep/it:663- 320 niter:254250  1327m 10s (- 1671m 40s) completed: 44%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0489  acc: 0.5975  lr: 0.0000 
ep/it:663- 370 niter:254300  1327m 24s (- 1671m 24s) completed: 44%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0460  acc: 0.5982  lr: 0.0000 
Validation loss:1.590, accuracy:0.565
ep/it:664-  37 niter:254350  1327m 42s (- 1671m 10s) completed: 44%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0506  acc: 0.5965  lr: 0.0000 
ep/it:664-  87 niter:254400  1327m 56s (- 1670m 52s) completed: 44%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0463  acc: 0.6008  lr: 0.0000 
ep/it:664- 137 niter:254450  1328m 10s (- 1670m 35s) completed: 44%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0481  acc: 0.6005  lr: 0.0000 
ep/it:664- 187 niter:254500  1328m 24s (- 1670m 17s) completed: 44%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0491  acc: 0.5983  lr: 0.0000 
ep/it:664- 237 niter:254550  1328m 38s (- 1670m 0s) completed: 44%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0509  acc: 0.6052  lr: 0.0000 
ep/it:664- 287 niter:254600  1328m 53s (- 1669m 44s) completed: 44%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0487  acc: 0.6019  lr: 0.0000 
ep/it:664- 337 niter:254650  1329m 8s (- 1669m 27s) completed: 44%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0469  acc: 0.5932  lr: 0.0000 
Validation loss:1.559, accuracy:0.573
ep/it:665-   4 niter:254700  1329m 26s (- 1669m 13s) completed: 44%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0481  acc: 0.6038  lr: 0.0000 
ep/it:665-  54 niter:254750  1329m 40s (- 1668m 56s) completed: 44%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0476  acc: 0.6031  lr: 0.0000 
ep/it:665- 104 niter:254800  1329m 55s (- 1668m 39s) completed: 44%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0486  acc: 0.6003  lr: 0.0000 
ep/it:665- 154 niter:254850  1330m 10s (- 1668m 23s) completed: 44%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0486  acc: 0.6009  lr: 0.0000 
ep/it:665- 204 niter:254900  1330m 24s (- 1668m 5s) completed: 44%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0489  acc: 0.5982  lr: 0.0000 
ep/it:665- 254 niter:254950  1330m 39s (- 1667m 49s) completed: 44%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0482  acc: 0.5994  lr: 0.0000 
ep/it:665- 304 niter:255000  1330m 53s (- 1667m 31s) completed: 44%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0464  acc: 0.5939  lr: 0.0000 
ep/it:665- 354 niter:255050  1331m 7s (- 1667m 13s) completed: 44%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0487  acc: 0.5954  lr: 0.0000 
Validation loss:1.577, accuracy:0.568
ep/it:666-  21 niter:255100  1331m 24s (- 1666m 59s) completed: 44%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0466  acc: 0.6060  lr: 0.0000 
ep/it:666-  71 niter:255150  1331m 39s (- 1666m 43s) completed: 44%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0471  acc: 0.5974  lr: 0.0000 
ep/it:666- 121 niter:255200  1331m 53s (- 1666m 25s) completed: 44%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0492  acc: 0.5932  lr: 0.0000 
ep/it:666- 171 niter:255250  1332m 8s (- 1666m 8s) completed: 44%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0469  acc: 0.5936  lr: 0.0000 
ep/it:666- 221 niter:255300  1332m 22s (- 1665m 52s) completed: 44%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0474  acc: 0.5976  lr: 0.0000 
ep/it:666- 271 niter:255350  1332m 37s (- 1665m 34s) completed: 44%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0491  acc: 0.5920  lr: 0.0000 
ep/it:666- 321 niter:255400  1332m 51s (- 1665m 17s) completed: 44%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0488  acc: 0.6011  lr: 0.0000 
ep/it:666- 371 niter:255450  1333m 6s (- 1665m 0s) completed: 44%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0457  acc: 0.6014  lr: 0.0000 
Validation loss:1.547, accuracy:0.577
ep/it:667-  38 niter:255500  1333m 23s (- 1664m 46s) completed: 44%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0491  acc: 0.5956  lr: 0.0000 
ep/it:667-  88 niter:255550  1333m 38s (- 1664m 30s) completed: 44%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0497  acc: 0.6012  lr: 0.0000 
ep/it:667- 138 niter:255600  1333m 53s (- 1664m 13s) completed: 44%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0477  acc: 0.5990  lr: 0.0000 
ep/it:667- 188 niter:255650  1334m 8s (- 1663m 57s) completed: 44%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0486  acc: 0.6024  lr: 0.0000 
ep/it:667- 238 niter:255700  1334m 22s (- 1663m 39s) completed: 44%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0462  acc: 0.5949  lr: 0.0000 
ep/it:667- 288 niter:255750  1334m 37s (- 1663m 22s) completed: 44%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0466  acc: 0.5966  lr: 0.0000 
ep/it:667- 338 niter:255800  1334m 52s (- 1663m 6s) completed: 44%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0479  acc: 0.6015  lr: 0.0000 
Validation loss:1.559, accuracy:0.574
ep/it:668-   5 niter:255850  1335m 8s (- 1662m 52s) completed: 44%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0487  acc: 0.5903  lr: 0.0000 
ep/it:668-  55 niter:255900  1335m 23s (- 1662m 34s) completed: 44%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0483  acc: 0.5982  lr: 0.0000 
ep/it:668- 105 niter:255950  1335m 37s (- 1662m 17s) completed: 44%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0471  acc: 0.6013  lr: 0.0000 
ep/it:668- 155 niter:256000  1335m 51s (- 1661m 59s) completed: 44%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0475  acc: 0.5984  lr: 0.0000 
ep/it:668- 205 niter:256050  1336m 5s (- 1661m 42s) completed: 44%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0487  acc: 0.6007  lr: 0.0000 
ep/it:668- 255 niter:256100  1336m 19s (- 1661m 24s) completed: 44%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0477  acc: 0.5957  lr: 0.0000 
ep/it:668- 305 niter:256150  1336m 34s (- 1661m 7s) completed: 44%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0482  acc: 0.5972  lr: 0.0000 
ep/it:668- 355 niter:256200  1336m 48s (- 1660m 49s) completed: 44%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0467  acc: 0.6033  lr: 0.0000 
Validation loss:1.559, accuracy:0.573
ep/it:669-  22 niter:256250  1337m 5s (- 1660m 35s) completed: 44%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0478  acc: 0.6005  lr: 0.0000 
ep/it:669-  72 niter:256300  1337m 19s (- 1660m 18s) completed: 44%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0479  acc: 0.5994  lr: 0.0000 
ep/it:669- 122 niter:256350  1337m 33s (- 1660m 0s) completed: 44%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0473  acc: 0.6005  lr: 0.0000 
ep/it:669- 172 niter:256400  1337m 47s (- 1659m 43s) completed: 44%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0487  acc: 0.5963  lr: 0.0000 
ep/it:669- 222 niter:256450  1338m 1s (- 1659m 25s) completed: 44%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0475  acc: 0.6008  lr: 0.0000 
ep/it:669- 272 niter:256500  1338m 15s (- 1659m 7s) completed: 44%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0474  acc: 0.5911  lr: 0.0000 
ep/it:669- 322 niter:256550  1338m 30s (- 1658m 51s) completed: 44%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0479  acc: 0.5956  lr: 0.0000 
ep/it:669- 372 niter:256600  1338m 45s (- 1658m 34s) completed: 44%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0465  acc: 0.5976  lr: 0.0000 
Validation loss:1.562, accuracy:0.570

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.75it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.97333257924765 avg: 38.97333257924765
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.85910793673247 avg: 38.91622025799006
--> 	 Eva. Repeat 0 :, FID. 0.0683, Diversity Real. 9.3307, Diversity. 9.5331, R_precision_real. [0.515625   0.72265625 0.81152344], R_precision. [0.50683594 0.71289062 0.8125    ], matching_score_real. 2.8410, matching_score_pred. 2.8704, skate_ratio. 0.0462, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0094 (kps_fail_50cm (Loc. err)): 0.0009 (kps_mean_err(m) (Avg. err)): 0.0261 
ep/it:670-  39 niter:256650  1340m 21s (- 1659m 58s) completed: 44%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0479  acc: 0.5889  lr: 0.0000 
ep/it:670-  89 niter:256700  1340m 36s (- 1659m 41s) completed: 44%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0470  acc: 0.5954  lr: 0.0000 
ep/it:670- 139 niter:256750  1340m 50s (- 1659m 24s) completed: 44%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0482  acc: 0.5961  lr: 0.0000 
ep/it:670- 189 niter:256800  1341m 4s (- 1659m 6s) completed: 44%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0485  acc: 0.6009  lr: 0.0000 
ep/it:670- 239 niter:256850  1341m 19s (- 1658m 49s) completed: 44%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0497  acc: 0.5933  lr: 0.0000 
ep/it:670- 289 niter:256900  1341m 33s (- 1658m 32s) completed: 44%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0481  acc: 0.6036  lr: 0.0000 
ep/it:670- 339 niter:256950  1341m 47s (- 1658m 14s) completed: 44%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0495  acc: 0.5969  lr: 0.0000 
Validation loss:1.617, accuracy:0.558
ep/it:671-   6 niter:257000  1342m 4s (- 1658m 1s) completed: 44%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0495  acc: 0.6011  lr: 0.0000 
ep/it:671-  56 niter:257050  1342m 19s (- 1657m 44s) completed: 44%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0479  acc: 0.5881  lr: 0.0000 
ep/it:671- 106 niter:257100  1342m 34s (- 1657m 27s) completed: 44%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0490  acc: 0.5954  lr: 0.0000 
ep/it:671- 156 niter:257150  1342m 49s (- 1657m 10s) completed: 44%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0469  acc: 0.6012  lr: 0.0000 
ep/it:671- 206 niter:257200  1343m 4s (- 1656m 54s) completed: 44%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0496  acc: 0.6033  lr: 0.0000 
ep/it:671- 256 niter:257250  1343m 18s (- 1656m 37s) completed: 44%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0463  acc: 0.5941  lr: 0.0000 
ep/it:671- 306 niter:257300  1343m 33s (- 1656m 20s) completed: 44%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0464  acc: 0.6037  lr: 0.0000 
ep/it:671- 356 niter:257350  1343m 47s (- 1656m 3s) completed: 44%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0473  acc: 0.5975  lr: 0.0000 
Validation loss:1.557, accuracy:0.573
ep/it:672-  23 niter:257400  1344m 4s (- 1655m 48s) completed: 44%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0481  acc: 0.5987  lr: 0.0000 
ep/it:672-  73 niter:257450  1344m 19s (- 1655m 31s) completed: 44%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0484  acc: 0.5988  lr: 0.0000 
ep/it:672- 123 niter:257500  1344m 33s (- 1655m 14s) completed: 44%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0485  acc: 0.6107  lr: 0.0000 
ep/it:672- 173 niter:257550  1344m 48s (- 1654m 58s) completed: 44%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0470  acc: 0.5996  lr: 0.0000 
ep/it:672- 223 niter:257600  1345m 2s (- 1654m 40s) completed: 44%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0485  acc: 0.5991  lr: 0.0000 
ep/it:672- 273 niter:257650  1345m 17s (- 1654m 23s) completed: 44%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0469  acc: 0.6004  lr: 0.0000 
ep/it:672- 323 niter:257700  1345m 31s (- 1654m 6s) completed: 44%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0482  acc: 0.5984  lr: 0.0000 
ep/it:672- 373 niter:257750  1345m 45s (- 1653m 48s) completed: 44%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0486  acc: 0.6004  lr: 0.0000 
Validation loss:1.581, accuracy:0.566
ep/it:673-  40 niter:257800  1346m 2s (- 1653m 34s) completed: 44%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0490  acc: 0.6029  lr: 0.0000 
ep/it:673-  90 niter:257850  1346m 17s (- 1653m 17s) completed: 44%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0485  acc: 0.6043  lr: 0.0000 
ep/it:673- 140 niter:257900  1346m 31s (- 1653m 0s) completed: 44%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0499  acc: 0.5933  lr: 0.0000 
ep/it:673- 190 niter:257950  1346m 46s (- 1652m 43s) completed: 44%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0467  acc: 0.5915  lr: 0.0000 
ep/it:673- 240 niter:258000  1347m 0s (- 1652m 26s) completed: 44%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0474  acc: 0.6077  lr: 0.0000 
ep/it:673- 290 niter:258050  1347m 15s (- 1652m 9s) completed: 44%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0503  acc: 0.6008  lr: 0.0000 
ep/it:673- 340 niter:258100  1347m 29s (- 1651m 52s) completed: 44%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0459  acc: 0.5907  lr: 0.0000 
Validation loss:1.621, accuracy:0.555
ep/it:674-   7 niter:258150  1347m 47s (- 1651m 38s) completed: 44%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0474  acc: 0.5992  lr: 0.0000 
ep/it:674-  57 niter:258200  1348m 1s (- 1651m 21s) completed: 44%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0475  acc: 0.5963  lr: 0.0000 
ep/it:674- 107 niter:258250  1348m 15s (- 1651m 4s) completed: 44%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0465  acc: 0.5927  lr: 0.0000 
ep/it:674- 157 niter:258300  1348m 31s (- 1650m 47s) completed: 44%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0472  acc: 0.6025  lr: 0.0000 
ep/it:674- 207 niter:258350  1348m 45s (- 1650m 30s) completed: 44%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0487  acc: 0.5959  lr: 0.0000 
ep/it:674- 257 niter:258400  1348m 59s (- 1650m 12s) completed: 44%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0484  acc: 0.5954  lr: 0.0000 
ep/it:674- 307 niter:258450  1349m 13s (- 1649m 55s) completed: 44%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0504  acc: 0.5997  lr: 0.0000 
ep/it:674- 357 niter:258500  1349m 27s (- 1649m 37s) completed: 44%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0478  acc: 0.5994  lr: 0.0000 
Validation loss:1.605, accuracy:0.562
ep/it:675-  24 niter:258550  1349m 44s (- 1649m 23s) completed: 45%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0495  acc: 0.6033  lr: 0.0000 
ep/it:675-  74 niter:258600  1349m 59s (- 1649m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0479  acc: 0.6008  lr: 0.0000 
ep/it:675- 124 niter:258650  1350m 13s (- 1648m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0478  acc: 0.5964  lr: 0.0000 
ep/it:675- 174 niter:258700  1350m 27s (- 1648m 31s) completed: 45%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0482  acc: 0.5985  lr: 0.0000 
ep/it:675- 224 niter:258750  1350m 41s (- 1648m 14s) completed: 45%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0472  acc: 0.6011  lr: 0.0000 
ep/it:675- 274 niter:258800  1350m 55s (- 1647m 57s) completed: 45%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0490  acc: 0.5957  lr: 0.0000 
ep/it:675- 324 niter:258850  1351m 10s (- 1647m 39s) completed: 45%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0487  acc: 0.5923  lr: 0.0000 
ep/it:675- 374 niter:258900  1351m 24s (- 1647m 22s) completed: 45%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0474  acc: 0.6021  lr: 0.0000 
Validation loss:1.602, accuracy:0.561
ep/it:676-  41 niter:258950  1351m 41s (- 1647m 8s) completed: 45%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0476  acc: 0.5985  lr: 0.0000 
ep/it:676-  91 niter:259000  1351m 55s (- 1646m 50s) completed: 45%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0477  acc: 0.6002  lr: 0.0000 
ep/it:676- 141 niter:259050  1352m 10s (- 1646m 34s) completed: 45%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0475  acc: 0.6016  lr: 0.0000 
ep/it:676- 191 niter:259100  1352m 25s (- 1646m 17s) completed: 45%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0487  acc: 0.6023  lr: 0.0000 
ep/it:676- 241 niter:259150  1352m 39s (- 1645m 59s) completed: 45%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0486  acc: 0.5983  lr: 0.0000 
ep/it:676- 291 niter:259200  1352m 53s (- 1645m 42s) completed: 45%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0491  acc: 0.5914  lr: 0.0000 
ep/it:676- 341 niter:259250  1353m 8s (- 1645m 25s) completed: 45%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0473  acc: 0.5983  lr: 0.0000 
Validation loss:1.603, accuracy:0.561
ep/it:677-   8 niter:259300  1353m 25s (- 1645m 12s) completed: 45%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0486  acc: 0.5973  lr: 0.0000 
ep/it:677-  58 niter:259350  1353m 39s (- 1644m 54s) completed: 45%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0468  acc: 0.5963  lr: 0.0000 
ep/it:677- 108 niter:259400  1353m 54s (- 1644m 37s) completed: 45%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0490  acc: 0.5941  lr: 0.0000 
ep/it:677- 158 niter:259450  1354m 9s (- 1644m 20s) completed: 45%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0498  acc: 0.5992  lr: 0.0000 
ep/it:677- 208 niter:259500  1354m 23s (- 1644m 3s) completed: 45%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0482  acc: 0.5994  lr: 0.0000 
ep/it:677- 258 niter:259550  1354m 38s (- 1643m 46s) completed: 45%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0469  acc: 0.5967  lr: 0.0000 
ep/it:677- 308 niter:259600  1354m 52s (- 1643m 29s) completed: 45%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0476  acc: 0.5930  lr: 0.0000 
ep/it:677- 358 niter:259650  1355m 6s (- 1643m 11s) completed: 45%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0473  acc: 0.5991  lr: 0.0000 
Validation loss:1.591, accuracy:0.565
ep/it:678-  25 niter:259700  1355m 23s (- 1642m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0463  acc: 0.6041  lr: 0.0000 
ep/it:678-  75 niter:259750  1355m 38s (- 1642m 40s) completed: 45%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0472  acc: 0.6010  lr: 0.0000 
ep/it:678- 125 niter:259800  1355m 52s (- 1642m 23s) completed: 45%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0485  acc: 0.5972  lr: 0.0000 
ep/it:678- 175 niter:259850  1356m 6s (- 1642m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0480  acc: 0.5940  lr: 0.0000 
ep/it:678- 225 niter:259900  1356m 21s (- 1641m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0479  acc: 0.5949  lr: 0.0000 
ep/it:678- 275 niter:259950  1356m 35s (- 1641m 31s) completed: 45%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0482  acc: 0.5995  lr: 0.0000 
ep/it:678- 325 niter:260000  1356m 49s (- 1641m 14s) completed: 45%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0477  acc: 0.5995  lr: 0.0000 
ep/it:678- 375 niter:260050  1357m 4s (- 1640m 57s) completed: 45%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0476  acc: 0.6015  lr: 0.0000 
Validation loss:1.561, accuracy:0.572
ep/it:679-  42 niter:260100  1357m 21s (- 1640m 43s) completed: 45%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0493  acc: 0.6040  lr: 0.0000 
ep/it:679-  92 niter:260150  1357m 35s (- 1640m 26s) completed: 45%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0483  acc: 0.5937  lr: 0.0000 
ep/it:679- 142 niter:260200  1357m 50s (- 1640m 9s) completed: 45%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0502  acc: 0.5955  lr: 0.0000 
ep/it:679- 192 niter:260250  1358m 5s (- 1639m 52s) completed: 45%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0470  acc: 0.5995  lr: 0.0000 
ep/it:679- 242 niter:260300  1358m 19s (- 1639m 34s) completed: 45%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0503  acc: 0.5956  lr: 0.0000 
ep/it:679- 292 niter:260350  1358m 33s (- 1639m 17s) completed: 45%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0472  acc: 0.5933  lr: 0.0000 
ep/it:679- 342 niter:260400  1358m 48s (- 1639m 0s) completed: 45%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0476  acc: 0.5957  lr: 0.0000 
Validation loss:1.584, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.86it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.73702993057668 avg: 38.73702993057668
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.5443193083629 avg: 38.64067461946979
--> 	 Eva. Repeat 0 :, FID. 0.1019, Diversity Real. 9.3878, Diversity. 9.5795, R_precision_real. [0.54101562 0.72167969 0.8046875 ], R_precision. [0.53125    0.71191406 0.80664062], matching_score_real. 2.8229, matching_score_pred. 2.8842, skate_ratio. 0.0530, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0130 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0273 
ep/it:680-   9 niter:260450  1360m 23s (- 1640m 21s) completed: 45%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0477  acc: 0.5954  lr: 0.0000 
ep/it:680-  59 niter:260500  1360m 38s (- 1640m 4s) completed: 45%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0471  acc: 0.5992  lr: 0.0000 
ep/it:680- 109 niter:260550  1360m 53s (- 1639m 48s) completed: 45%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0480  acc: 0.5912  lr: 0.0000 
ep/it:680- 159 niter:260600  1361m 7s (- 1639m 31s) completed: 45%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0500  acc: 0.5957  lr: 0.0000 
ep/it:680- 209 niter:260650  1361m 22s (- 1639m 14s) completed: 45%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0476  acc: 0.6059  lr: 0.0000 
ep/it:680- 259 niter:260700  1361m 36s (- 1638m 56s) completed: 45%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0475  acc: 0.5982  lr: 0.0000 
ep/it:680- 309 niter:260750  1361m 50s (- 1638m 39s) completed: 45%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0487  acc: 0.5945  lr: 0.0000 
ep/it:680- 359 niter:260800  1362m 4s (- 1638m 21s) completed: 45%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0477  acc: 0.5979  lr: 0.0000 
Validation loss:1.571, accuracy:0.569
ep/it:681-  26 niter:260850  1362m 22s (- 1638m 8s) completed: 45%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0472  acc: 0.5989  lr: 0.0000 
ep/it:681-  76 niter:260900  1362m 36s (- 1637m 51s) completed: 45%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0470  acc: 0.6017  lr: 0.0000 
ep/it:681- 126 niter:260950  1362m 51s (- 1637m 33s) completed: 45%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0461  acc: 0.6025  lr: 0.0000 
ep/it:681- 176 niter:261000  1363m 5s (- 1637m 17s) completed: 45%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0481  acc: 0.5986  lr: 0.0000 
ep/it:681- 226 niter:261050  1363m 20s (- 1637m 0s) completed: 45%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0506  acc: 0.5997  lr: 0.0000 
ep/it:681- 276 niter:261100  1363m 34s (- 1636m 42s) completed: 45%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0490  acc: 0.5977  lr: 0.0000 
ep/it:681- 326 niter:261150  1363m 49s (- 1636m 25s) completed: 45%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0477  acc: 0.6010  lr: 0.0000 
ep/it:681- 376 niter:261200  1364m 3s (- 1636m 8s) completed: 45%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0490  acc: 0.5916  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:682-  43 niter:261250  1364m 20s (- 1635m 54s) completed: 45%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0481  acc: 0.6056  lr: 0.0000 
ep/it:682-  93 niter:261300  1364m 35s (- 1635m 37s) completed: 45%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0491  acc: 0.5967  lr: 0.0000 
ep/it:682- 143 niter:261350  1364m 50s (- 1635m 21s) completed: 45%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0473  acc: 0.6000  lr: 0.0000 
ep/it:682- 193 niter:261400  1365m 4s (- 1635m 3s) completed: 45%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0467  acc: 0.6060  lr: 0.0000 
ep/it:682- 243 niter:261450  1365m 19s (- 1634m 46s) completed: 45%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0500  acc: 0.5984  lr: 0.0000 
ep/it:682- 293 niter:261500  1365m 33s (- 1634m 29s) completed: 45%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0484  acc: 0.5965  lr: 0.0000 
ep/it:682- 343 niter:261550  1365m 47s (- 1634m 12s) completed: 45%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0474  acc: 0.5968  lr: 0.0000 
Validation loss:1.557, accuracy:0.573
ep/it:683-  10 niter:261600  1366m 4s (- 1633m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0485  acc: 0.6021  lr: 0.0000 
ep/it:683-  60 niter:261650  1366m 19s (- 1633m 41s) completed: 45%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0478  acc: 0.6044  lr: 0.0000 
ep/it:683- 110 niter:261700  1366m 33s (- 1633m 24s) completed: 45%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0481  acc: 0.5951  lr: 0.0000 
ep/it:683- 160 niter:261750  1366m 48s (- 1633m 7s) completed: 45%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0479  acc: 0.5960  lr: 0.0000 
ep/it:683- 210 niter:261800  1367m 3s (- 1632m 50s) completed: 45%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0470  acc: 0.5997  lr: 0.0000 
ep/it:683- 260 niter:261850  1367m 17s (- 1632m 33s) completed: 45%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0502  acc: 0.6009  lr: 0.0000 
ep/it:683- 310 niter:261900  1367m 31s (- 1632m 15s) completed: 45%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0486  acc: 0.5927  lr: 0.0000 
ep/it:683- 360 niter:261950  1367m 46s (- 1631m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0466  acc: 0.6014  lr: 0.0000 
Validation loss:1.608, accuracy:0.560
ep/it:684-  27 niter:262000  1368m 3s (- 1631m 45s) completed: 45%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0479  acc: 0.5934  lr: 0.0000 
ep/it:684-  77 niter:262050  1368m 18s (- 1631m 28s) completed: 45%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0477  acc: 0.5999  lr: 0.0000 
ep/it:684- 127 niter:262100  1368m 33s (- 1631m 11s) completed: 45%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0495  acc: 0.6017  lr: 0.0000 
ep/it:684- 177 niter:262150  1368m 47s (- 1630m 54s) completed: 45%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0476  acc: 0.5947  lr: 0.0000 
ep/it:684- 227 niter:262200  1369m 1s (- 1630m 36s) completed: 45%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0481  acc: 0.5931  lr: 0.0000 
ep/it:684- 277 niter:262250  1369m 16s (- 1630m 19s) completed: 45%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0476  acc: 0.5963  lr: 0.0000 
ep/it:684- 327 niter:262300  1369m 30s (- 1630m 3s) completed: 45%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0460  acc: 0.6004  lr: 0.0000 
ep/it:684- 377 niter:262350  1369m 45s (- 1629m 45s) completed: 45%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0486  acc: 0.5953  lr: 0.0000 
Validation loss:1.596, accuracy:0.564
ep/it:685-  44 niter:262400  1370m 2s (- 1629m 32s) completed: 45%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0487  acc: 0.5976  lr: 0.0000 
ep/it:685-  94 niter:262450  1370m 16s (- 1629m 14s) completed: 45%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0487  acc: 0.5997  lr: 0.0000 
ep/it:685- 144 niter:262500  1370m 31s (- 1628m 57s) completed: 45%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0458  acc: 0.5995  lr: 0.0000 
ep/it:685- 194 niter:262550  1370m 45s (- 1628m 40s) completed: 45%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0478  acc: 0.6029  lr: 0.0000 
ep/it:685- 244 niter:262600  1371m 0s (- 1628m 23s) completed: 45%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0473  acc: 0.5940  lr: 0.0000 
ep/it:685- 294 niter:262650  1371m 14s (- 1628m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0464  acc: 0.5957  lr: 0.0000 
ep/it:685- 344 niter:262700  1371m 29s (- 1627m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0480  acc: 0.5941  lr: 0.0000 
Validation loss:1.589, accuracy:0.565
ep/it:686-  11 niter:262750  1371m 47s (- 1627m 36s) completed: 45%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0475  acc: 0.6064  lr: 0.0000 
ep/it:686-  61 niter:262800  1372m 2s (- 1627m 19s) completed: 45%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0478  acc: 0.5961  lr: 0.0000 
ep/it:686- 111 niter:262850  1372m 16s (- 1627m 3s) completed: 45%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0482  acc: 0.6037  lr: 0.0000 
ep/it:686- 161 niter:262900  1372m 31s (- 1626m 45s) completed: 45%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0483  acc: 0.5964  lr: 0.0000 
ep/it:686- 211 niter:262950  1372m 45s (- 1626m 29s) completed: 45%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0478  acc: 0.6084  lr: 0.0000 
ep/it:686- 261 niter:263000  1373m 0s (- 1626m 12s) completed: 45%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0470  acc: 0.5984  lr: 0.0000 
ep/it:686- 311 niter:263050  1373m 15s (- 1625m 55s) completed: 45%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0490  acc: 0.6022  lr: 0.0000 
ep/it:686- 361 niter:263100  1373m 29s (- 1625m 38s) completed: 45%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0483  acc: 0.5961  lr: 0.0000 
Validation loss:1.584, accuracy:0.566
ep/it:687-  28 niter:263150  1373m 46s (- 1625m 24s) completed: 45%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0484  acc: 0.5928  lr: 0.0000 
ep/it:687-  78 niter:263200  1374m 0s (- 1625m 7s) completed: 45%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0491  acc: 0.5932  lr: 0.0000 
ep/it:687- 128 niter:263250  1374m 15s (- 1624m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0464  acc: 0.6035  lr: 0.0000 
ep/it:687- 178 niter:263300  1374m 29s (- 1624m 32s) completed: 45%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0469  acc: 0.5966  lr: 0.0000 
ep/it:687- 228 niter:263350  1374m 44s (- 1624m 15s) completed: 45%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0482  acc: 0.5900  lr: 0.0000 
ep/it:687- 278 niter:263400  1374m 58s (- 1623m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0460  acc: 0.5991  lr: 0.0000 
ep/it:687- 328 niter:263450  1375m 12s (- 1623m 41s) completed: 45%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0467  acc: 0.6054  lr: 0.0000 
ep/it:687- 378 niter:263500  1375m 27s (- 1623m 24s) completed: 45%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0475  acc: 0.5968  lr: 0.0000 
Validation loss:1.604, accuracy:0.561
ep/it:688-  45 niter:263550  1375m 45s (- 1623m 11s) completed: 45%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0491  acc: 0.6026  lr: 0.0000 
ep/it:688-  95 niter:263600  1376m 0s (- 1622m 54s) completed: 45%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0480  acc: 0.6012  lr: 0.0000 
ep/it:688- 145 niter:263650  1376m 14s (- 1622m 37s) completed: 45%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0483  acc: 0.6024  lr: 0.0000 
ep/it:688- 195 niter:263700  1376m 28s (- 1622m 20s) completed: 45%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0477  acc: 0.5925  lr: 0.0000 
ep/it:688- 245 niter:263750  1376m 43s (- 1622m 3s) completed: 45%) loss_emb: 0.0000  loss: 1.3620  loss_TTT: 0.0468  acc: 0.6051  lr: 0.0000 
ep/it:688- 295 niter:263800  1376m 57s (- 1621m 45s) completed: 45%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0473  acc: 0.6016  lr: 0.0000 
ep/it:688- 345 niter:263850  1377m 12s (- 1621m 28s) completed: 45%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0464  acc: 0.6013  lr: 0.0000 
Validation loss:1.627, accuracy:0.554
ep/it:689-  12 niter:263900  1377m 29s (- 1621m 15s) completed: 45%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0467  acc: 0.6010  lr: 0.0000 
ep/it:689-  62 niter:263950  1377m 43s (- 1620m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0478  acc: 0.5983  lr: 0.0000 
ep/it:689- 112 niter:264000  1377m 58s (- 1620m 40s) completed: 45%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0498  acc: 0.5985  lr: 0.0000 
ep/it:689- 162 niter:264050  1378m 13s (- 1620m 24s) completed: 45%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0482  acc: 0.6033  lr: 0.0000 
ep/it:689- 212 niter:264100  1378m 27s (- 1620m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0465  acc: 0.6074  lr: 0.0000 
ep/it:689- 262 niter:264150  1378m 41s (- 1619m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0484  acc: 0.5975  lr: 0.0000 
ep/it:689- 312 niter:264200  1378m 55s (- 1619m 32s) completed: 45%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0469  acc: 0.5923  lr: 0.0000 
ep/it:689- 362 niter:264250  1379m 10s (- 1619m 15s) completed: 45%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0470  acc: 0.6030  lr: 0.0000 
Validation loss:1.597, accuracy:0.563

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.60it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.53s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:19<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.18307083379477 avg: 39.18307083379477
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.80216910596937 avg: 38.99261996988207
--> 	 Eva. Repeat 0 :, FID. 0.0957, Diversity Real. 9.4385, Diversity. 9.4167, R_precision_real. [0.53320312 0.71679688 0.80371094], R_precision. [0.5234375  0.70800781 0.796875  ], matching_score_real. 2.8381, matching_score_pred. 2.9899, skate_ratio. 0.0514, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0104 (kps_fail_50cm (Loc. err)): 0.0028 (kps_mean_err(m) (Avg. err)): 0.0268 
ep/it:690-  29 niter:264300  1380m 46s (- 1620m 34s) completed: 46%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0452  acc: 0.6062  lr: 0.0000 
ep/it:690-  79 niter:264350  1381m 1s (- 1620m 17s) completed: 46%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0473  acc: 0.6047  lr: 0.0000 
ep/it:690- 129 niter:264400  1381m 16s (- 1620m 0s) completed: 46%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0492  acc: 0.5928  lr: 0.0000 
ep/it:690- 179 niter:264450  1381m 30s (- 1619m 43s) completed: 46%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0463  acc: 0.5957  lr: 0.0000 
ep/it:690- 229 niter:264500  1381m 44s (- 1619m 26s) completed: 46%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0472  acc: 0.5978  lr: 0.0000 
ep/it:690- 279 niter:264550  1381m 59s (- 1619m 9s) completed: 46%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0486  acc: 0.5979  lr: 0.0000 
ep/it:690- 329 niter:264600  1382m 13s (- 1618m 51s) completed: 46%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0478  acc: 0.6009  lr: 0.0000 
ep/it:690- 379 niter:264650  1382m 27s (- 1618m 34s) completed: 46%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0477  acc: 0.6031  lr: 0.0000 
Validation loss:1.591, accuracy:0.563
ep/it:691-  46 niter:264700  1382m 45s (- 1618m 21s) completed: 46%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0476  acc: 0.5951  lr: 0.0000 
ep/it:691-  96 niter:264750  1382m 59s (- 1618m 3s) completed: 46%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0471  acc: 0.6060  lr: 0.0000 
ep/it:691- 146 niter:264800  1383m 14s (- 1617m 47s) completed: 46%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0478  acc: 0.5945  lr: 0.0000 
ep/it:691- 196 niter:264850  1383m 28s (- 1617m 29s) completed: 46%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0498  acc: 0.5979  lr: 0.0000 
ep/it:691- 246 niter:264900  1383m 42s (- 1617m 12s) completed: 46%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0474  acc: 0.6003  lr: 0.0000 
ep/it:691- 296 niter:264950  1383m 56s (- 1616m 54s) completed: 46%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0466  acc: 0.6032  lr: 0.0000 
ep/it:691- 346 niter:265000  1384m 11s (- 1616m 37s) completed: 46%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0475  acc: 0.6006  lr: 0.0000 
Validation loss:1.580, accuracy:0.569
ep/it:692-  13 niter:265050  1384m 28s (- 1616m 23s) completed: 46%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0483  acc: 0.6007  lr: 0.0000 
ep/it:692-  63 niter:265100  1384m 43s (- 1616m 7s) completed: 46%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0482  acc: 0.5975  lr: 0.0000 
ep/it:692- 113 niter:265150  1384m 58s (- 1615m 50s) completed: 46%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0485  acc: 0.5940  lr: 0.0000 
ep/it:692- 163 niter:265200  1385m 12s (- 1615m 33s) completed: 46%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0459  acc: 0.6036  lr: 0.0000 
ep/it:692- 213 niter:265250  1385m 26s (- 1615m 15s) completed: 46%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0471  acc: 0.5946  lr: 0.0000 
ep/it:692- 263 niter:265300  1385m 42s (- 1614m 59s) completed: 46%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0480  acc: 0.5973  lr: 0.0000 
ep/it:692- 313 niter:265350  1385m 56s (- 1614m 42s) completed: 46%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0488  acc: 0.6013  lr: 0.0000 
ep/it:692- 363 niter:265400  1386m 10s (- 1614m 25s) completed: 46%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0469  acc: 0.5968  lr: 0.0000 
Validation loss:1.590, accuracy:0.563
ep/it:693-  30 niter:265450  1386m 28s (- 1614m 11s) completed: 46%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0473  acc: 0.5970  lr: 0.0000 
ep/it:693-  80 niter:265500  1386m 42s (- 1613m 54s) completed: 46%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0472  acc: 0.6034  lr: 0.0000 
ep/it:693- 130 niter:265550  1386m 57s (- 1613m 38s) completed: 46%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0494  acc: 0.5992  lr: 0.0000 
ep/it:693- 180 niter:265600  1387m 12s (- 1613m 21s) completed: 46%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0471  acc: 0.6039  lr: 0.0000 
ep/it:693- 230 niter:265650  1387m 27s (- 1613m 5s) completed: 46%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0479  acc: 0.6067  lr: 0.0000 
ep/it:693- 280 niter:265700  1387m 41s (- 1612m 47s) completed: 46%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0480  acc: 0.5974  lr: 0.0000 
ep/it:693- 330 niter:265750  1387m 56s (- 1612m 30s) completed: 46%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0473  acc: 0.5995  lr: 0.0000 
ep/it:693- 380 niter:265800  1388m 10s (- 1612m 13s) completed: 46%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0484  acc: 0.5982  lr: 0.0000 
Validation loss:1.616, accuracy:0.558
ep/it:694-  47 niter:265850  1388m 28s (- 1612m 0s) completed: 46%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0465  acc: 0.6017  lr: 0.0000 
ep/it:694-  97 niter:265900  1388m 43s (- 1611m 43s) completed: 46%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0497  acc: 0.5976  lr: 0.0000 
ep/it:694- 147 niter:265950  1388m 57s (- 1611m 26s) completed: 46%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0467  acc: 0.6020  lr: 0.0000 
ep/it:694- 197 niter:266000  1389m 12s (- 1611m 9s) completed: 46%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0483  acc: 0.5969  lr: 0.0000 
ep/it:694- 247 niter:266050  1389m 27s (- 1610m 53s) completed: 46%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0473  acc: 0.5932  lr: 0.0000 
ep/it:694- 297 niter:266100  1389m 41s (- 1610m 36s) completed: 46%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0477  acc: 0.5986  lr: 0.0000 
ep/it:694- 347 niter:266150  1389m 56s (- 1610m 19s) completed: 46%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0492  acc: 0.5942  lr: 0.0000 
Validation loss:1.521, accuracy:0.583
ep/it:695-  14 niter:266200  1390m 13s (- 1610m 5s) completed: 46%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0477  acc: 0.6058  lr: 0.0000 
ep/it:695-  64 niter:266250  1390m 28s (- 1609m 48s) completed: 46%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0481  acc: 0.5971  lr: 0.0000 
ep/it:695- 114 niter:266300  1390m 42s (- 1609m 31s) completed: 46%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0468  acc: 0.6011  lr: 0.0000 
ep/it:695- 164 niter:266350  1390m 57s (- 1609m 15s) completed: 46%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0478  acc: 0.5963  lr: 0.0000 
ep/it:695- 214 niter:266400  1391m 12s (- 1608m 58s) completed: 46%) loss_emb: 0.0000  loss: 1.3520  loss_TTT: 0.0482  acc: 0.6083  lr: 0.0000 
ep/it:695- 264 niter:266450  1391m 26s (- 1608m 40s) completed: 46%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0481  acc: 0.6007  lr: 0.0000 
ep/it:695- 314 niter:266500  1391m 41s (- 1608m 24s) completed: 46%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0475  acc: 0.5929  lr: 0.0000 
ep/it:695- 364 niter:266550  1391m 56s (- 1608m 7s) completed: 46%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0490  acc: 0.5964  lr: 0.0000 
Validation loss:1.533, accuracy:0.579
ep/it:696-  31 niter:266600  1392m 13s (- 1607m 54s) completed: 46%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0494  acc: 0.5944  lr: 0.0000 
ep/it:696-  81 niter:266650  1392m 28s (- 1607m 37s) completed: 46%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0468  acc: 0.6060  lr: 0.0000 
ep/it:696- 131 niter:266700  1392m 42s (- 1607m 20s) completed: 46%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0454  acc: 0.5975  lr: 0.0000 
ep/it:696- 181 niter:266750  1392m 57s (- 1607m 3s) completed: 46%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0465  acc: 0.5924  lr: 0.0000 
ep/it:696- 231 niter:266800  1393m 11s (- 1606m 46s) completed: 46%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0467  acc: 0.5996  lr: 0.0000 
ep/it:696- 281 niter:266850  1393m 26s (- 1606m 29s) completed: 46%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0502  acc: 0.6105  lr: 0.0000 
ep/it:696- 331 niter:266900  1393m 40s (- 1606m 11s) completed: 46%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0482  acc: 0.6028  lr: 0.0000 
ep/it:696- 381 niter:266950  1393m 55s (- 1605m 55s) completed: 46%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0477  acc: 0.5930  lr: 0.0000 
Validation loss:1.637, accuracy:0.554
ep/it:697-  48 niter:267000  1394m 12s (- 1605m 41s) completed: 46%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0501  acc: 0.5956  lr: 0.0000 
ep/it:697-  98 niter:267050  1394m 27s (- 1605m 25s) completed: 46%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0486  acc: 0.5953  lr: 0.0000 
ep/it:697- 148 niter:267100  1394m 42s (- 1605m 8s) completed: 46%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0471  acc: 0.6003  lr: 0.0000 
ep/it:697- 198 niter:267150  1394m 56s (- 1604m 50s) completed: 46%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0500  acc: 0.5984  lr: 0.0000 
ep/it:697- 248 niter:267200  1395m 10s (- 1604m 33s) completed: 46%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0480  acc: 0.5943  lr: 0.0000 
ep/it:697- 298 niter:267250  1395m 24s (- 1604m 15s) completed: 46%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0480  acc: 0.5960  lr: 0.0000 
ep/it:697- 348 niter:267300  1395m 39s (- 1603m 58s) completed: 46%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0465  acc: 0.5971  lr: 0.0000 
Validation loss:1.596, accuracy:0.564
ep/it:698-  15 niter:267350  1395m 56s (- 1603m 44s) completed: 46%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0470  acc: 0.5945  lr: 0.0000 
ep/it:698-  65 niter:267400  1396m 10s (- 1603m 27s) completed: 46%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0510  acc: 0.5947  lr: 0.0000 
ep/it:698- 115 niter:267450  1396m 24s (- 1603m 10s) completed: 46%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0478  acc: 0.5896  lr: 0.0000 
ep/it:698- 165 niter:267500  1396m 38s (- 1602m 53s) completed: 46%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0467  acc: 0.5984  lr: 0.0000 
ep/it:698- 215 niter:267550  1396m 54s (- 1602m 36s) completed: 46%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0465  acc: 0.6002  lr: 0.0000 
ep/it:698- 265 niter:267600  1397m 8s (- 1602m 19s) completed: 46%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0468  acc: 0.5976  lr: 0.0000 
ep/it:698- 315 niter:267650  1397m 23s (- 1602m 2s) completed: 46%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0471  acc: 0.6040  lr: 0.0000 
ep/it:698- 365 niter:267700  1397m 37s (- 1601m 45s) completed: 46%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0492  acc: 0.6025  lr: 0.0000 
Validation loss:1.593, accuracy:0.565
ep/it:699-  32 niter:267750  1397m 54s (- 1601m 31s) completed: 46%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0472  acc: 0.5992  lr: 0.0000 
ep/it:699-  82 niter:267800  1398m 8s (- 1601m 14s) completed: 46%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0471  acc: 0.6025  lr: 0.0000 
ep/it:699- 132 niter:267850  1398m 23s (- 1600m 57s) completed: 46%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0468  acc: 0.5885  lr: 0.0000 
ep/it:699- 182 niter:267900  1398m 38s (- 1600m 40s) completed: 46%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0459  acc: 0.5975  lr: 0.0000 
ep/it:699- 232 niter:267950  1398m 52s (- 1600m 24s) completed: 46%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0476  acc: 0.5941  lr: 0.0000 
ep/it:699- 282 niter:268000  1399m 7s (- 1600m 7s) completed: 46%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0495  acc: 0.6064  lr: 0.0000 
ep/it:699- 332 niter:268050  1399m 22s (- 1599m 50s) completed: 46%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0481  acc: 0.5938  lr: 0.0000 
ep/it:699- 382 niter:268100  1399m 35s (- 1599m 32s) completed: 46%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0488  acc: 0.6069  lr: 0.0000 
Validation loss:1.632, accuracy:0.554

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.55it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.85659383889288 avg: 38.85659383889288
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.620390891097486 avg: 38.73849236499518
--> 	 Eva. Repeat 0 :, FID. 0.0688, Diversity Real. 9.6702, Diversity. 9.3267, R_precision_real. [0.51367188 0.69726562 0.80566406], R_precision. [0.52832031 0.70898438 0.79492188], matching_score_real. 2.8381, matching_score_pred. 2.8946, skate_ratio. 0.0492, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0029 (kps_fail_20cm): 0.0083 (kps_fail_50cm (Loc. err)): 0.0002 (kps_mean_err(m) (Avg. err)): 0.0266 
ep/it:700-  49 niter:268150  1401m 12s (- 1600m 48s) completed: 46%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0479  acc: 0.6017  lr: 0.0000 
ep/it:700-  99 niter:268200  1401m 26s (- 1600m 31s) completed: 46%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0478  acc: 0.5950  lr: 0.0000 
ep/it:700- 149 niter:268250  1401m 40s (- 1600m 14s) completed: 46%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0476  acc: 0.6006  lr: 0.0000 
ep/it:700- 199 niter:268300  1401m 54s (- 1599m 56s) completed: 46%) loss_emb: 0.0000  loss: 1.3821  loss_TTT: 0.0491  acc: 0.5994  lr: 0.0000 
ep/it:700- 249 niter:268350  1402m 9s (- 1599m 39s) completed: 46%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0486  acc: 0.6029  lr: 0.0000 
ep/it:700- 299 niter:268400  1402m 23s (- 1599m 22s) completed: 46%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0487  acc: 0.5995  lr: 0.0000 
ep/it:700- 349 niter:268450  1402m 37s (- 1599m 5s) completed: 46%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0486  acc: 0.5967  lr: 0.0000 
Validation loss:1.552, accuracy:0.574
ep/it:701-  16 niter:268500  1402m 55s (- 1598m 51s) completed: 46%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0483  acc: 0.5933  lr: 0.0000 
ep/it:701-  66 niter:268550  1403m 10s (- 1598m 34s) completed: 46%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0477  acc: 0.5961  lr: 0.0000 
ep/it:701- 116 niter:268600  1403m 24s (- 1598m 17s) completed: 46%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0485  acc: 0.5924  lr: 0.0000 
ep/it:701- 166 niter:268650  1403m 38s (- 1598m 0s) completed: 46%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0469  acc: 0.5963  lr: 0.0000 
ep/it:701- 216 niter:268700  1403m 52s (- 1597m 43s) completed: 46%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0479  acc: 0.6070  lr: 0.0000 
ep/it:701- 266 niter:268750  1404m 6s (- 1597m 25s) completed: 46%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0472  acc: 0.5978  lr: 0.0000 
ep/it:701- 316 niter:268800  1404m 21s (- 1597m 8s) completed: 46%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0473  acc: 0.5946  lr: 0.0000 
ep/it:701- 366 niter:268850  1404m 34s (- 1596m 50s) completed: 46%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0489  acc: 0.5970  lr: 0.0000 
Validation loss:1.608, accuracy:0.560
ep/it:702-  33 niter:268900  1404m 51s (- 1596m 35s) completed: 46%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0468  acc: 0.5997  lr: 0.0000 
ep/it:702-  83 niter:268950  1405m 6s (- 1596m 18s) completed: 46%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0482  acc: 0.5978  lr: 0.0000 
ep/it:702- 133 niter:269000  1405m 20s (- 1596m 1s) completed: 46%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0494  acc: 0.5941  lr: 0.0000 
ep/it:702- 183 niter:269050  1405m 34s (- 1595m 44s) completed: 46%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0469  acc: 0.5995  lr: 0.0000 
ep/it:702- 233 niter:269100  1405m 49s (- 1595m 27s) completed: 46%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0482  acc: 0.6031  lr: 0.0000 
ep/it:702- 283 niter:269150  1406m 3s (- 1595m 10s) completed: 46%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0475  acc: 0.5937  lr: 0.0000 
ep/it:702- 333 niter:269200  1406m 18s (- 1594m 53s) completed: 46%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0463  acc: 0.5980  lr: 0.0000 
Validation loss:1.551, accuracy:0.576
ep/it:703-   0 niter:269250  1406m 36s (- 1594m 40s) completed: 46%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0473  acc: 0.5982  lr: 0.0000 
ep/it:703-  50 niter:269300  1406m 50s (- 1594m 23s) completed: 46%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0493  acc: 0.5957  lr: 0.0000 
ep/it:703- 100 niter:269350  1407m 4s (- 1594m 5s) completed: 46%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0479  acc: 0.5944  lr: 0.0000 
ep/it:703- 150 niter:269400  1407m 19s (- 1593m 48s) completed: 46%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0490  acc: 0.5940  lr: 0.0000 
ep/it:703- 200 niter:269450  1407m 33s (- 1593m 31s) completed: 46%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0494  acc: 0.5946  lr: 0.0000 
ep/it:703- 250 niter:269500  1407m 48s (- 1593m 14s) completed: 46%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0490  acc: 0.6013  lr: 0.0000 
ep/it:703- 300 niter:269550  1408m 3s (- 1592m 58s) completed: 46%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0468  acc: 0.5998  lr: 0.0000 
ep/it:703- 350 niter:269600  1408m 17s (- 1592m 41s) completed: 46%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0468  acc: 0.5908  lr: 0.0000 
Validation loss:1.571, accuracy:0.569
ep/it:704-  17 niter:269650  1408m 34s (- 1592m 26s) completed: 46%) loss_emb: 0.0000  loss: 1.3595  loss_TTT: 0.0466  acc: 0.6047  lr: 0.0000 
ep/it:704-  67 niter:269700  1408m 48s (- 1592m 9s) completed: 46%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0482  acc: 0.5989  lr: 0.0000 
ep/it:704- 117 niter:269750  1409m 3s (- 1591m 53s) completed: 46%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0472  acc: 0.6029  lr: 0.0000 
ep/it:704- 167 niter:269800  1409m 18s (- 1591m 36s) completed: 46%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0467  acc: 0.5993  lr: 0.0000 
ep/it:704- 217 niter:269850  1409m 32s (- 1591m 19s) completed: 46%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0470  acc: 0.5981  lr: 0.0000 
ep/it:704- 267 niter:269900  1409m 47s (- 1591m 2s) completed: 46%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0498  acc: 0.5960  lr: 0.0000 
ep/it:704- 317 niter:269950  1410m 1s (- 1590m 44s) completed: 46%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0464  acc: 0.5936  lr: 0.0000 
ep/it:704- 367 niter:270000  1410m 15s (- 1590m 27s) completed: 46%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0470  acc: 0.5996  lr: 0.0000 
Validation loss:1.612, accuracy:0.559
ep/it:705-  34 niter:270050  1410m 33s (- 1590m 13s) completed: 47%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0468  acc: 0.6030  lr: 0.0000 
ep/it:705-  84 niter:270100  1410m 47s (- 1589m 57s) completed: 47%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0488  acc: 0.6012  lr: 0.0000 
ep/it:705- 134 niter:270150  1411m 2s (- 1589m 40s) completed: 47%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0476  acc: 0.6036  lr: 0.0000 
ep/it:705- 184 niter:270200  1411m 16s (- 1589m 22s) completed: 47%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0476  acc: 0.5942  lr: 0.0000 
ep/it:705- 234 niter:270250  1411m 31s (- 1589m 5s) completed: 47%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0471  acc: 0.5981  lr: 0.0000 
ep/it:705- 284 niter:270300  1411m 45s (- 1588m 49s) completed: 47%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0484  acc: 0.6057  lr: 0.0000 
ep/it:705- 334 niter:270350  1412m 0s (- 1588m 32s) completed: 47%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0468  acc: 0.5951  lr: 0.0000 
Validation loss:1.550, accuracy:0.574
ep/it:706-   1 niter:270400  1412m 17s (- 1588m 18s) completed: 47%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0485  acc: 0.5972  lr: 0.0000 
ep/it:706-  51 niter:270450  1412m 32s (- 1588m 1s) completed: 47%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0477  acc: 0.5965  lr: 0.0000 
ep/it:706- 101 niter:270500  1412m 46s (- 1587m 44s) completed: 47%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0491  acc: 0.5906  lr: 0.0000 
ep/it:706- 151 niter:270550  1413m 1s (- 1587m 27s) completed: 47%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0463  acc: 0.6043  lr: 0.0000 
ep/it:706- 201 niter:270600  1413m 15s (- 1587m 10s) completed: 47%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0490  acc: 0.5976  lr: 0.0000 
ep/it:706- 251 niter:270650  1413m 29s (- 1586m 53s) completed: 47%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0461  acc: 0.5972  lr: 0.0000 
ep/it:706- 301 niter:270700  1413m 44s (- 1586m 36s) completed: 47%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0483  acc: 0.6007  lr: 0.0000 
ep/it:706- 351 niter:270750  1413m 59s (- 1586m 19s) completed: 47%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0500  acc: 0.5958  lr: 0.0000 
Validation loss:1.550, accuracy:0.575
ep/it:707-  18 niter:270800  1414m 16s (- 1586m 6s) completed: 47%) loss_emb: 0.0000  loss: 1.3710  loss_TTT: 0.0483  acc: 0.6032  lr: 0.0000 
ep/it:707-  68 niter:270850  1414m 31s (- 1585m 49s) completed: 47%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0481  acc: 0.5980  lr: 0.0000 
ep/it:707- 118 niter:270900  1414m 45s (- 1585m 32s) completed: 47%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0475  acc: 0.5978  lr: 0.0000 
ep/it:707- 168 niter:270950  1415m 0s (- 1585m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0479  acc: 0.5961  lr: 0.0000 
ep/it:707- 218 niter:271000  1415m 14s (- 1584m 58s) completed: 47%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0478  acc: 0.5987  lr: 0.0000 
ep/it:707- 268 niter:271050  1415m 29s (- 1584m 41s) completed: 47%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0475  acc: 0.6015  lr: 0.0000 
ep/it:707- 318 niter:271100  1415m 43s (- 1584m 24s) completed: 47%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0471  acc: 0.5977  lr: 0.0000 
ep/it:707- 368 niter:271150  1415m 58s (- 1584m 7s) completed: 47%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0481  acc: 0.6007  lr: 0.0000 
Validation loss:1.624, accuracy:0.556
ep/it:708-  35 niter:271200  1416m 15s (- 1583m 53s) completed: 47%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0480  acc: 0.5971  lr: 0.0000 
ep/it:708-  85 niter:271250  1416m 29s (- 1583m 36s) completed: 47%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0472  acc: 0.5968  lr: 0.0000 
ep/it:708- 135 niter:271300  1416m 44s (- 1583m 19s) completed: 47%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0484  acc: 0.5989  lr: 0.0000 
ep/it:708- 185 niter:271350  1416m 59s (- 1583m 2s) completed: 47%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0486  acc: 0.6003  lr: 0.0000 
ep/it:708- 235 niter:271400  1417m 13s (- 1582m 45s) completed: 47%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0477  acc: 0.5982  lr: 0.0000 
ep/it:708- 285 niter:271450  1417m 28s (- 1582m 29s) completed: 47%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0470  acc: 0.6005  lr: 0.0000 
ep/it:708- 335 niter:271500  1417m 43s (- 1582m 12s) completed: 47%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0480  acc: 0.5989  lr: 0.0000 
Validation loss:1.573, accuracy:0.568
ep/it:709-   2 niter:271550  1418m 0s (- 1581m 58s) completed: 47%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0470  acc: 0.5946  lr: 0.0000 
ep/it:709-  52 niter:271600  1418m 14s (- 1581m 41s) completed: 47%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0473  acc: 0.6009  lr: 0.0000 
ep/it:709- 102 niter:271650  1418m 29s (- 1581m 24s) completed: 47%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0472  acc: 0.6017  lr: 0.0000 
ep/it:709- 152 niter:271700  1418m 43s (- 1581m 7s) completed: 47%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0468  acc: 0.6054  lr: 0.0000 
ep/it:709- 202 niter:271750  1418m 58s (- 1580m 50s) completed: 47%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0491  acc: 0.6030  lr: 0.0000 
ep/it:709- 252 niter:271800  1419m 12s (- 1580m 33s) completed: 47%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0459  acc: 0.6071  lr: 0.0000 
ep/it:709- 302 niter:271850  1419m 27s (- 1580m 16s) completed: 47%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0492  acc: 0.5895  lr: 0.0000 
ep/it:709- 352 niter:271900  1419m 41s (- 1579m 59s) completed: 47%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0485  acc: 0.5975  lr: 0.0000 
Validation loss:1.597, accuracy:0.562

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.45it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.65344997216016 avg: 38.65344997216016
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.63973998744041 avg: 38.646594979800284
--> 	 Eva. Repeat 0 :, FID. 0.0840, Diversity Real. 9.4639, Diversity. 9.6962, R_precision_real. [0.50292969 0.68847656 0.79296875], R_precision. [0.49609375 0.68554688 0.78515625], matching_score_real. 2.9192, matching_score_pred. 2.9796, skate_ratio. 0.0492, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0645 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0111 (kps_fail_50cm (Loc. err)): 0.0013 (kps_mean_err(m) (Avg. err)): 0.0268 
ep/it:710-  19 niter:271950  1421m 17s (- 1581m 13s) completed: 47%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0484  acc: 0.6048  lr: 0.0000 
ep/it:710-  69 niter:272000  1421m 31s (- 1580m 55s) completed: 47%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0472  acc: 0.6013  lr: 0.0000 
ep/it:710- 119 niter:272050  1421m 46s (- 1580m 39s) completed: 47%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0469  acc: 0.5947  lr: 0.0000 
ep/it:710- 169 niter:272100  1422m 1s (- 1580m 22s) completed: 47%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0483  acc: 0.5994  lr: 0.0000 
ep/it:710- 219 niter:272150  1422m 15s (- 1580m 5s) completed: 47%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0481  acc: 0.6001  lr: 0.0000 
ep/it:710- 269 niter:272200  1422m 30s (- 1579m 48s) completed: 47%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0481  acc: 0.5960  lr: 0.0000 
ep/it:710- 319 niter:272250  1422m 45s (- 1579m 31s) completed: 47%) loss_emb: 0.0000  loss: 1.3477  loss_TTT: 0.0461  acc: 0.6093  lr: 0.0000 
ep/it:710- 369 niter:272300  1422m 59s (- 1579m 14s) completed: 47%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0471  acc: 0.5962  lr: 0.0000 
Validation loss:1.604, accuracy:0.563
ep/it:711-  36 niter:272350  1423m 16s (- 1579m 0s) completed: 47%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0486  acc: 0.5992  lr: 0.0000 
ep/it:711-  86 niter:272400  1423m 30s (- 1578m 42s) completed: 47%) loss_emb: 0.0000  loss: 1.3470  loss_TTT: 0.0460  acc: 0.6093  lr: 0.0000 
ep/it:711- 136 niter:272450  1423m 44s (- 1578m 25s) completed: 47%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0472  acc: 0.5989  lr: 0.0000 
ep/it:711- 186 niter:272500  1423m 58s (- 1578m 8s) completed: 47%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0476  acc: 0.5936  lr: 0.0000 
ep/it:711- 236 niter:272550  1424m 14s (- 1577m 52s) completed: 47%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0481  acc: 0.6002  lr: 0.0000 
ep/it:711- 286 niter:272600  1424m 28s (- 1577m 35s) completed: 47%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0473  acc: 0.6002  lr: 0.0000 
ep/it:711- 336 niter:272650  1424m 42s (- 1577m 17s) completed: 47%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0476  acc: 0.5954  lr: 0.0000 
Validation loss:1.603, accuracy:0.561
ep/it:712-   3 niter:272700  1424m 59s (- 1577m 3s) completed: 47%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0467  acc: 0.5966  lr: 0.0000 
ep/it:712-  53 niter:272750  1425m 13s (- 1576m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0477  acc: 0.6006  lr: 0.0000 
ep/it:712- 103 niter:272800  1425m 27s (- 1576m 28s) completed: 47%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0482  acc: 0.6049  lr: 0.0000 
ep/it:712- 153 niter:272850  1425m 42s (- 1576m 11s) completed: 47%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0478  acc: 0.6082  lr: 0.0000 
ep/it:712- 203 niter:272900  1425m 56s (- 1575m 54s) completed: 47%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0463  acc: 0.6016  lr: 0.0000 
ep/it:712- 253 niter:272950  1426m 10s (- 1575m 36s) completed: 47%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0489  acc: 0.5996  lr: 0.0000 
ep/it:712- 303 niter:273000  1426m 25s (- 1575m 19s) completed: 47%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0477  acc: 0.5991  lr: 0.0000 
ep/it:712- 353 niter:273050  1426m 39s (- 1575m 2s) completed: 47%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0462  acc: 0.5962  lr: 0.0000 
Validation loss:1.571, accuracy:0.568
ep/it:713-  20 niter:273100  1426m 56s (- 1574m 48s) completed: 47%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0489  acc: 0.5938  lr: 0.0000 
ep/it:713-  70 niter:273150  1427m 10s (- 1574m 30s) completed: 47%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0463  acc: 0.5944  lr: 0.0000 
ep/it:713- 120 niter:273200  1427m 24s (- 1574m 13s) completed: 47%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0475  acc: 0.6021  lr: 0.0000 
ep/it:713- 170 niter:273250  1427m 38s (- 1573m 56s) completed: 47%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0474  acc: 0.5976  lr: 0.0000 
ep/it:713- 220 niter:273300  1427m 53s (- 1573m 39s) completed: 47%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0467  acc: 0.6028  lr: 0.0000 
ep/it:713- 270 niter:273350  1428m 7s (- 1573m 21s) completed: 47%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0461  acc: 0.5973  lr: 0.0000 
ep/it:713- 320 niter:273400  1428m 21s (- 1573m 4s) completed: 47%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0481  acc: 0.6000  lr: 0.0000 
ep/it:713- 370 niter:273450  1428m 35s (- 1572m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0472  acc: 0.5993  lr: 0.0000 
Validation loss:1.611, accuracy:0.559
ep/it:714-  37 niter:273500  1428m 51s (- 1572m 32s) completed: 47%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0478  acc: 0.6020  lr: 0.0000 
ep/it:714-  87 niter:273550  1429m 6s (- 1572m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0467  acc: 0.6048  lr: 0.0000 
ep/it:714- 137 niter:273600  1429m 21s (- 1571m 58s) completed: 47%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0489  acc: 0.6013  lr: 0.0000 
ep/it:714- 187 niter:273650  1429m 35s (- 1571m 41s) completed: 47%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0493  acc: 0.6000  lr: 0.0000 
ep/it:714- 237 niter:273700  1429m 49s (- 1571m 24s) completed: 47%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0477  acc: 0.5944  lr: 0.0000 
ep/it:714- 287 niter:273750  1430m 3s (- 1571m 6s) completed: 47%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0467  acc: 0.6015  lr: 0.0000 
ep/it:714- 337 niter:273800  1430m 18s (- 1570m 49s) completed: 47%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0473  acc: 0.6035  lr: 0.0000 
Validation loss:1.507, accuracy:0.586
ep/it:715-   4 niter:273850  1430m 35s (- 1570m 35s) completed: 47%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0480  acc: 0.5943  lr: 0.0000 
ep/it:715-  54 niter:273900  1430m 49s (- 1570m 18s) completed: 47%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0475  acc: 0.6065  lr: 0.0000 
ep/it:715- 104 niter:273950  1431m 3s (- 1570m 0s) completed: 47%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0474  acc: 0.5986  lr: 0.0000 
ep/it:715- 154 niter:274000  1431m 17s (- 1569m 43s) completed: 47%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0452  acc: 0.6113  lr: 0.0000 
ep/it:715- 204 niter:274050  1431m 32s (- 1569m 26s) completed: 47%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0479  acc: 0.5958  lr: 0.0000 
ep/it:715- 254 niter:274100  1431m 46s (- 1569m 9s) completed: 47%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0464  acc: 0.6005  lr: 0.0000 
ep/it:715- 304 niter:274150  1432m 0s (- 1568m 51s) completed: 47%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0475  acc: 0.6018  lr: 0.0000 
ep/it:715- 354 niter:274200  1432m 14s (- 1568m 33s) completed: 47%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0475  acc: 0.5968  lr: 0.0000 
Validation loss:1.650, accuracy:0.549
ep/it:716-  21 niter:274250  1432m 31s (- 1568m 20s) completed: 47%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0488  acc: 0.5923  lr: 0.0000 
ep/it:716-  71 niter:274300  1432m 46s (- 1568m 3s) completed: 47%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0471  acc: 0.5997  lr: 0.0000 
ep/it:716- 121 niter:274350  1433m 0s (- 1567m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0480  acc: 0.6033  lr: 0.0000 
ep/it:716- 171 niter:274400  1433m 15s (- 1567m 29s) completed: 47%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0451  acc: 0.5935  lr: 0.0000 
ep/it:716- 221 niter:274450  1433m 29s (- 1567m 12s) completed: 47%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0476  acc: 0.5995  lr: 0.0000 
ep/it:716- 271 niter:274500  1433m 44s (- 1566m 55s) completed: 47%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0465  acc: 0.5975  lr: 0.0000 
ep/it:716- 321 niter:274550  1433m 59s (- 1566m 39s) completed: 47%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0478  acc: 0.5970  lr: 0.0000 
ep/it:716- 371 niter:274600  1434m 14s (- 1566m 22s) completed: 47%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0472  acc: 0.6046  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:717-  38 niter:274650  1434m 31s (- 1566m 8s) completed: 47%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0479  acc: 0.5968  lr: 0.0000 
ep/it:717-  88 niter:274700  1434m 45s (- 1565m 50s) completed: 47%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0479  acc: 0.5888  lr: 0.0000 
ep/it:717- 138 niter:274750  1434m 59s (- 1565m 33s) completed: 47%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0490  acc: 0.5930  lr: 0.0000 
ep/it:717- 188 niter:274800  1435m 13s (- 1565m 16s) completed: 47%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0496  acc: 0.5968  lr: 0.0000 
ep/it:717- 238 niter:274850  1435m 28s (- 1564m 59s) completed: 47%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0472  acc: 0.5971  lr: 0.0000 
ep/it:717- 288 niter:274900  1435m 42s (- 1564m 42s) completed: 47%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0451  acc: 0.6022  lr: 0.0000 
ep/it:717- 338 niter:274950  1435m 56s (- 1564m 25s) completed: 47%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0483  acc: 0.5969  lr: 0.0000 
Validation loss:1.558, accuracy:0.572
ep/it:718-   5 niter:275000  1436m 13s (- 1564m 10s) completed: 47%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0490  acc: 0.6087  lr: 0.0000 
ep/it:718-  55 niter:275050  1436m 28s (- 1563m 53s) completed: 47%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0449  acc: 0.6027  lr: 0.0000 
ep/it:718- 105 niter:275100  1436m 42s (- 1563m 36s) completed: 47%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0497  acc: 0.5941  lr: 0.0000 
ep/it:718- 155 niter:275150  1436m 56s (- 1563m 19s) completed: 47%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0471  acc: 0.5958  lr: 0.0000 
ep/it:718- 205 niter:275200  1437m 10s (- 1563m 1s) completed: 47%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0477  acc: 0.6045  lr: 0.0000 
ep/it:718- 255 niter:275250  1437m 24s (- 1562m 44s) completed: 47%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0477  acc: 0.6007  lr: 0.0000 
ep/it:718- 305 niter:275300  1437m 38s (- 1562m 26s) completed: 47%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0480  acc: 0.6063  lr: 0.0000 
ep/it:718- 355 niter:275350  1437m 52s (- 1562m 9s) completed: 47%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0469  acc: 0.6001  lr: 0.0000 
Validation loss:1.600, accuracy:0.561
ep/it:719-  22 niter:275400  1438m 9s (- 1561m 54s) completed: 47%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0474  acc: 0.5983  lr: 0.0000 
ep/it:719-  72 niter:275450  1438m 23s (- 1561m 37s) completed: 47%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0459  acc: 0.6055  lr: 0.0000 
ep/it:719- 122 niter:275500  1438m 37s (- 1561m 20s) completed: 47%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0482  acc: 0.6031  lr: 0.0000 
ep/it:719- 172 niter:275550  1438m 51s (- 1561m 3s) completed: 47%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0469  acc: 0.5978  lr: 0.0000 
ep/it:719- 222 niter:275600  1439m 6s (- 1560m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0480  acc: 0.5963  lr: 0.0000 
ep/it:719- 272 niter:275650  1439m 20s (- 1560m 29s) completed: 47%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0477  acc: 0.6073  lr: 0.0000 
ep/it:719- 322 niter:275700  1439m 34s (- 1560m 11s) completed: 47%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0467  acc: 0.5974  lr: 0.0000 
ep/it:719- 372 niter:275750  1439m 49s (- 1559m 54s) completed: 47%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0480  acc: 0.6029  lr: 0.0000 
Validation loss:1.565, accuracy:0.570

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.71it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.78137462120503 avg: 38.78137462120503
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.65545670688152 avg: 38.71841566404328
--> 	 Eva. Repeat 0 :, FID. 0.0695, Diversity Real. 9.3512, Diversity. 9.4409, R_precision_real. [0.50195312 0.6875     0.79394531], R_precision. [0.49316406 0.69238281 0.78027344], matching_score_real. 2.9428, matching_score_pred. 3.0139, skate_ratio. 0.0462, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0113 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0272 
ep/it:720-  39 niter:275800  1441m 24s (- 1561m 5s) completed: 48%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0476  acc: 0.5959  lr: 0.0000 
ep/it:720-  89 niter:275850  1441m 39s (- 1560m 48s) completed: 48%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0463  acc: 0.6003  lr: 0.0000 
ep/it:720- 139 niter:275900  1441m 53s (- 1560m 31s) completed: 48%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0480  acc: 0.6072  lr: 0.0000 
ep/it:720- 189 niter:275950  1442m 7s (- 1560m 13s) completed: 48%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0470  acc: 0.6006  lr: 0.0000 
ep/it:720- 239 niter:276000  1442m 22s (- 1559m 57s) completed: 48%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0479  acc: 0.5989  lr: 0.0000 
ep/it:720- 289 niter:276050  1442m 37s (- 1559m 40s) completed: 48%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0467  acc: 0.6005  lr: 0.0000 
ep/it:720- 339 niter:276100  1442m 51s (- 1559m 23s) completed: 48%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0469  acc: 0.5914  lr: 0.0000 
Validation loss:1.612, accuracy:0.559
ep/it:721-   6 niter:276150  1443m 9s (- 1559m 10s) completed: 48%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0470  acc: 0.5890  lr: 0.0000 
ep/it:721-  56 niter:276200  1443m 24s (- 1558m 53s) completed: 48%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0473  acc: 0.5956  lr: 0.0000 
ep/it:721- 106 niter:276250  1443m 38s (- 1558m 36s) completed: 48%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0481  acc: 0.5997  lr: 0.0000 
ep/it:721- 156 niter:276300  1443m 53s (- 1558m 20s) completed: 48%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0480  acc: 0.6021  lr: 0.0000 
ep/it:721- 206 niter:276350  1444m 8s (- 1558m 3s) completed: 48%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0484  acc: 0.5916  lr: 0.0000 
ep/it:721- 256 niter:276400  1444m 22s (- 1557m 45s) completed: 48%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0463  acc: 0.6013  lr: 0.0000 
ep/it:721- 306 niter:276450  1444m 36s (- 1557m 28s) completed: 48%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0501  acc: 0.5936  lr: 0.0000 
ep/it:721- 356 niter:276500  1444m 51s (- 1557m 12s) completed: 48%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0485  acc: 0.5950  lr: 0.0000 
Validation loss:1.557, accuracy:0.574
ep/it:722-  23 niter:276550  1445m 8s (- 1556m 58s) completed: 48%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0479  acc: 0.5907  lr: 0.0000 
ep/it:722-  73 niter:276600  1445m 23s (- 1556m 41s) completed: 48%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0454  acc: 0.5972  lr: 0.0000 
ep/it:722- 123 niter:276650  1445m 38s (- 1556m 25s) completed: 48%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0457  acc: 0.6005  lr: 0.0000 
ep/it:722- 173 niter:276700  1445m 52s (- 1556m 7s) completed: 48%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0475  acc: 0.5940  lr: 0.0000 
ep/it:722- 223 niter:276750  1446m 6s (- 1555m 50s) completed: 48%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0465  acc: 0.6001  lr: 0.0000 
ep/it:722- 273 niter:276800  1446m 21s (- 1555m 34s) completed: 48%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0474  acc: 0.6000  lr: 0.0000 
ep/it:722- 323 niter:276850  1446m 35s (- 1555m 17s) completed: 48%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0485  acc: 0.6013  lr: 0.0000 
ep/it:722- 373 niter:276900  1446m 50s (- 1555m 0s) completed: 48%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0483  acc: 0.5992  lr: 0.0000 
Validation loss:1.591, accuracy:0.564
ep/it:723-  40 niter:276950  1447m 8s (- 1554m 46s) completed: 48%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0463  acc: 0.6016  lr: 0.0000 
ep/it:723-  90 niter:277000  1447m 22s (- 1554m 29s) completed: 48%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0467  acc: 0.5997  lr: 0.0000 
ep/it:723- 140 niter:277050  1447m 37s (- 1554m 13s) completed: 48%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0483  acc: 0.5982  lr: 0.0000 
ep/it:723- 190 niter:277100  1447m 52s (- 1553m 56s) completed: 48%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0474  acc: 0.6064  lr: 0.0000 
ep/it:723- 240 niter:277150  1448m 6s (- 1553m 39s) completed: 48%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0482  acc: 0.5974  lr: 0.0000 
ep/it:723- 290 niter:277200  1448m 20s (- 1553m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0478  acc: 0.5962  lr: 0.0000 
ep/it:723- 340 niter:277250  1448m 35s (- 1553m 5s) completed: 48%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0467  acc: 0.6043  lr: 0.0000 
Validation loss:1.615, accuracy:0.558
ep/it:724-   7 niter:277300  1448m 52s (- 1552m 51s) completed: 48%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0502  acc: 0.5995  lr: 0.0000 
ep/it:724-  57 niter:277350  1449m 6s (- 1552m 33s) completed: 48%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0487  acc: 0.5906  lr: 0.0000 
ep/it:724- 107 niter:277400  1449m 20s (- 1552m 16s) completed: 48%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0477  acc: 0.5930  lr: 0.0000 
ep/it:724- 157 niter:277450  1449m 35s (- 1551m 59s) completed: 48%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0467  acc: 0.6048  lr: 0.0000 
ep/it:724- 207 niter:277500  1449m 49s (- 1551m 42s) completed: 48%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0482  acc: 0.6043  lr: 0.0000 
ep/it:724- 257 niter:277550  1450m 4s (- 1551m 26s) completed: 48%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0478  acc: 0.6055  lr: 0.0000 
ep/it:724- 307 niter:277600  1450m 19s (- 1551m 9s) completed: 48%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0474  acc: 0.6001  lr: 0.0000 
ep/it:724- 357 niter:277650  1450m 33s (- 1550m 52s) completed: 48%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0473  acc: 0.6078  lr: 0.0000 
Validation loss:1.564, accuracy:0.572
ep/it:725-  24 niter:277700  1450m 50s (- 1550m 38s) completed: 48%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0468  acc: 0.6027  lr: 0.0000 
ep/it:725-  74 niter:277750  1451m 5s (- 1550m 21s) completed: 48%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0483  acc: 0.6022  lr: 0.0000 
ep/it:725- 124 niter:277800  1451m 19s (- 1550m 3s) completed: 48%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0484  acc: 0.5923  lr: 0.0000 
ep/it:725- 174 niter:277850  1451m 34s (- 1549m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0489  acc: 0.6014  lr: 0.0000 
ep/it:725- 224 niter:277900  1451m 49s (- 1549m 30s) completed: 48%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0482  acc: 0.5956  lr: 0.0000 
ep/it:725- 274 niter:277950  1452m 3s (- 1549m 13s) completed: 48%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0468  acc: 0.6074  lr: 0.0000 
ep/it:725- 324 niter:278000  1452m 18s (- 1548m 56s) completed: 48%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0472  acc: 0.6006  lr: 0.0000 
ep/it:725- 374 niter:278050  1452m 33s (- 1548m 40s) completed: 48%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0484  acc: 0.5947  lr: 0.0000 
Validation loss:1.609, accuracy:0.560
ep/it:726-  41 niter:278100  1452m 49s (- 1548m 26s) completed: 48%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0465  acc: 0.5920  lr: 0.0000 
ep/it:726-  91 niter:278150  1453m 4s (- 1548m 8s) completed: 48%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0490  acc: 0.5933  lr: 0.0000 
ep/it:726- 141 niter:278200  1453m 18s (- 1547m 52s) completed: 48%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0463  acc: 0.5995  lr: 0.0000 
ep/it:726- 191 niter:278250  1453m 33s (- 1547m 35s) completed: 48%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0487  acc: 0.5941  lr: 0.0000 
ep/it:726- 241 niter:278300  1453m 47s (- 1547m 18s) completed: 48%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0482  acc: 0.5987  lr: 0.0000 
ep/it:726- 291 niter:278350  1454m 2s (- 1547m 1s) completed: 48%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0478  acc: 0.5939  lr: 0.0000 
ep/it:726- 341 niter:278400  1454m 16s (- 1546m 44s) completed: 48%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0476  acc: 0.5941  lr: 0.0000 
Validation loss:1.587, accuracy:0.567
ep/it:727-   8 niter:278450  1454m 33s (- 1546m 29s) completed: 48%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0456  acc: 0.6072  lr: 0.0000 
ep/it:727-  58 niter:278500  1454m 47s (- 1546m 12s) completed: 48%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0483  acc: 0.5942  lr: 0.0000 
ep/it:727- 108 niter:278550  1455m 2s (- 1545m 55s) completed: 48%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0458  acc: 0.5908  lr: 0.0000 
ep/it:727- 158 niter:278600  1455m 16s (- 1545m 38s) completed: 48%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0475  acc: 0.6044  lr: 0.0000 
ep/it:727- 208 niter:278650  1455m 30s (- 1545m 21s) completed: 48%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0492  acc: 0.5939  lr: 0.0000 
ep/it:727- 258 niter:278700  1455m 45s (- 1545m 4s) completed: 48%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0488  acc: 0.6011  lr: 0.0000 
ep/it:727- 308 niter:278750  1455m 59s (- 1544m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0474  acc: 0.5972  lr: 0.0000 
ep/it:727- 358 niter:278800  1456m 14s (- 1544m 30s) completed: 48%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0490  acc: 0.5935  lr: 0.0000 
Validation loss:1.586, accuracy:0.565
ep/it:728-  25 niter:278850  1456m 31s (- 1544m 17s) completed: 48%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0479  acc: 0.5970  lr: 0.0000 
ep/it:728-  75 niter:278900  1456m 46s (- 1544m 0s) completed: 48%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0475  acc: 0.5948  lr: 0.0000 
ep/it:728- 125 niter:278950  1457m 0s (- 1543m 42s) completed: 48%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0483  acc: 0.5914  lr: 0.0000 
ep/it:728- 175 niter:279000  1457m 15s (- 1543m 25s) completed: 48%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0459  acc: 0.5970  lr: 0.0000 
ep/it:728- 225 niter:279050  1457m 30s (- 1543m 9s) completed: 48%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0473  acc: 0.5953  lr: 0.0000 
ep/it:728- 275 niter:279100  1457m 44s (- 1542m 52s) completed: 48%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0473  acc: 0.5999  lr: 0.0000 
ep/it:728- 325 niter:279150  1457m 59s (- 1542m 35s) completed: 48%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0484  acc: 0.5995  lr: 0.0000 
ep/it:728- 375 niter:279200  1458m 13s (- 1542m 18s) completed: 48%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0475  acc: 0.5966  lr: 0.0000 
Validation loss:1.587, accuracy:0.563
ep/it:729-  42 niter:279250  1458m 30s (- 1542m 4s) completed: 48%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0485  acc: 0.5986  lr: 0.0000 
ep/it:729-  92 niter:279300  1458m 45s (- 1541m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0477  acc: 0.5980  lr: 0.0000 
ep/it:729- 142 niter:279350  1458m 59s (- 1541m 31s) completed: 48%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0492  acc: 0.5912  lr: 0.0000 
ep/it:729- 192 niter:279400  1459m 13s (- 1541m 13s) completed: 48%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0475  acc: 0.5983  lr: 0.0000 
ep/it:729- 242 niter:279450  1459m 28s (- 1540m 56s) completed: 48%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0471  acc: 0.6005  lr: 0.0000 
ep/it:729- 292 niter:279500  1459m 42s (- 1540m 39s) completed: 48%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0458  acc: 0.6025  lr: 0.0000 
ep/it:729- 342 niter:279550  1459m 57s (- 1540m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0469  acc: 0.5951  lr: 0.0000 
Validation loss:1.562, accuracy:0.572

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.75it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.493813692592084 avg: 38.493813692592084
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.81968608126044 avg: 38.656749886926264
--> 	 Eva. Repeat 0 :, FID. 0.0693, Diversity Real. 9.1355, Diversity. 9.7834, R_precision_real. [0.52832031 0.70117188 0.79003906], R_precision. [0.50195312 0.71484375 0.79882812], matching_score_real. 2.9035, matching_score_pred. 2.9351, skate_ratio. 0.0501, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0605 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0103 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0285 
ep/it:730-   9 niter:279600  1461m 33s (- 1541m 32s) completed: 48%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0466  acc: 0.6021  lr: 0.0000 
ep/it:730-  59 niter:279650  1461m 48s (- 1541m 15s) completed: 48%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0488  acc: 0.6050  lr: 0.0000 
ep/it:730- 109 niter:279700  1462m 2s (- 1540m 58s) completed: 48%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0482  acc: 0.5900  lr: 0.0000 
ep/it:730- 159 niter:279750  1462m 17s (- 1540m 41s) completed: 48%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0472  acc: 0.5948  lr: 0.0000 
ep/it:730- 209 niter:279800  1462m 31s (- 1540m 24s) completed: 48%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0458  acc: 0.5997  lr: 0.0000 
ep/it:730- 259 niter:279850  1462m 46s (- 1540m 7s) completed: 48%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0474  acc: 0.5981  lr: 0.0000 
ep/it:730- 309 niter:279900  1463m 0s (- 1539m 50s) completed: 48%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0482  acc: 0.5966  lr: 0.0000 
ep/it:730- 359 niter:279950  1463m 15s (- 1539m 34s) completed: 48%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0476  acc: 0.5965  lr: 0.0000 
Validation loss:1.601, accuracy:0.562
ep/it:731-  26 niter:280000  1463m 32s (- 1539m 19s) completed: 48%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0470  acc: 0.6092  lr: 0.0000 
ep/it:731-  76 niter:280050  1463m 47s (- 1539m 3s) completed: 48%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0456  acc: 0.6046  lr: 0.0000 
ep/it:731- 126 niter:280100  1464m 2s (- 1538m 46s) completed: 48%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0481  acc: 0.6016  lr: 0.0000 
ep/it:731- 176 niter:280150  1464m 16s (- 1538m 30s) completed: 48%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0483  acc: 0.6036  lr: 0.0000 
ep/it:731- 226 niter:280200  1464m 31s (- 1538m 12s) completed: 48%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0477  acc: 0.6012  lr: 0.0000 
ep/it:731- 276 niter:280250  1464m 45s (- 1537m 55s) completed: 48%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0484  acc: 0.6024  lr: 0.0000 
ep/it:731- 326 niter:280300  1465m 0s (- 1537m 38s) completed: 48%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0468  acc: 0.6069  lr: 0.0000 
ep/it:731- 376 niter:280350  1465m 14s (- 1537m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0467  acc: 0.6006  lr: 0.0000 
Validation loss:1.545, accuracy:0.577
ep/it:732-  43 niter:280400  1465m 31s (- 1537m 7s) completed: 48%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0475  acc: 0.5898  lr: 0.0000 
ep/it:732-  93 niter:280450  1465m 45s (- 1536m 50s) completed: 48%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0482  acc: 0.5949  lr: 0.0000 
ep/it:732- 143 niter:280500  1465m 59s (- 1536m 33s) completed: 48%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0478  acc: 0.5976  lr: 0.0000 
ep/it:732- 193 niter:280550  1466m 14s (- 1536m 16s) completed: 48%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0456  acc: 0.5982  lr: 0.0000 
ep/it:732- 243 niter:280600  1466m 28s (- 1535m 58s) completed: 48%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0464  acc: 0.5919  lr: 0.0000 
ep/it:732- 293 niter:280650  1466m 42s (- 1535m 41s) completed: 48%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0486  acc: 0.5990  lr: 0.0000 
ep/it:732- 343 niter:280700  1466m 56s (- 1535m 23s) completed: 48%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0472  acc: 0.6026  lr: 0.0000 
Validation loss:1.573, accuracy:0.569
ep/it:733-  10 niter:280750  1467m 13s (- 1535m 9s) completed: 48%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0474  acc: 0.5973  lr: 0.0000 
ep/it:733-  60 niter:280800  1467m 27s (- 1534m 52s) completed: 48%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0473  acc: 0.6034  lr: 0.0000 
ep/it:733- 110 niter:280850  1467m 42s (- 1534m 35s) completed: 48%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0455  acc: 0.6028  lr: 0.0000 
ep/it:733- 160 niter:280900  1467m 56s (- 1534m 18s) completed: 48%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0481  acc: 0.5985  lr: 0.0000 
ep/it:733- 210 niter:280950  1468m 10s (- 1534m 1s) completed: 48%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0468  acc: 0.6065  lr: 0.0000 
ep/it:733- 260 niter:281000  1468m 24s (- 1533m 43s) completed: 48%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0473  acc: 0.6054  lr: 0.0000 
ep/it:733- 310 niter:281050  1468m 39s (- 1533m 27s) completed: 48%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0472  acc: 0.5971  lr: 0.0000 
ep/it:733- 360 niter:281100  1468m 54s (- 1533m 10s) completed: 48%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0480  acc: 0.5970  lr: 0.0000 
Validation loss:1.574, accuracy:0.568
ep/it:734-  27 niter:281150  1469m 11s (- 1532m 56s) completed: 48%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0479  acc: 0.5982  lr: 0.0000 
ep/it:734-  77 niter:281200  1469m 25s (- 1532m 39s) completed: 48%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0485  acc: 0.6011  lr: 0.0000 
ep/it:734- 127 niter:281250  1469m 39s (- 1532m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0469  acc: 0.5992  lr: 0.0000 
ep/it:734- 177 niter:281300  1469m 53s (- 1532m 4s) completed: 48%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0466  acc: 0.6011  lr: 0.0000 
ep/it:734- 227 niter:281350  1470m 8s (- 1531m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0474  acc: 0.6029  lr: 0.0000 
ep/it:734- 277 niter:281400  1470m 22s (- 1531m 31s) completed: 48%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0470  acc: 0.6035  lr: 0.0000 
ep/it:734- 327 niter:281450  1470m 36s (- 1531m 13s) completed: 48%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0483  acc: 0.5964  lr: 0.0000 
ep/it:734- 377 niter:281500  1470m 51s (- 1530m 56s) completed: 48%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0466  acc: 0.6034  lr: 0.0000 
Validation loss:1.539, accuracy:0.576
ep/it:735-  44 niter:281550  1471m 9s (- 1530m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0481  acc: 0.6036  lr: 0.0000 
ep/it:735-  94 niter:281600  1471m 23s (- 1530m 26s) completed: 49%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0480  acc: 0.5977  lr: 0.0000 
ep/it:735- 144 niter:281650  1471m 38s (- 1530m 9s) completed: 49%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0464  acc: 0.6044  lr: 0.0000 
ep/it:735- 194 niter:281700  1471m 52s (- 1529m 52s) completed: 49%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0489  acc: 0.5974  lr: 0.0000 
ep/it:735- 244 niter:281750  1472m 6s (- 1529m 34s) completed: 49%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0466  acc: 0.5958  lr: 0.0000 
ep/it:735- 294 niter:281800  1472m 20s (- 1529m 17s) completed: 49%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0480  acc: 0.5996  lr: 0.0000 
ep/it:735- 344 niter:281850  1472m 34s (- 1529m 0s) completed: 49%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0473  acc: 0.6003  lr: 0.0000 
Validation loss:1.574, accuracy:0.569
ep/it:736-  11 niter:281900  1472m 51s (- 1528m 45s) completed: 49%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0490  acc: 0.5983  lr: 0.0000 
ep/it:736-  61 niter:281950  1473m 5s (- 1528m 28s) completed: 49%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0495  acc: 0.6009  lr: 0.0000 
ep/it:736- 111 niter:282000  1473m 19s (- 1528m 11s) completed: 49%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0472  acc: 0.5938  lr: 0.0000 
ep/it:736- 161 niter:282050  1473m 34s (- 1527m 54s) completed: 49%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0480  acc: 0.6039  lr: 0.0000 
ep/it:736- 211 niter:282100  1473m 48s (- 1527m 37s) completed: 49%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0483  acc: 0.6040  lr: 0.0000 
ep/it:736- 261 niter:282150  1474m 2s (- 1527m 20s) completed: 49%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0481  acc: 0.5966  lr: 0.0000 
ep/it:736- 311 niter:282200  1474m 17s (- 1527m 3s) completed: 49%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0487  acc: 0.6071  lr: 0.0000 
ep/it:736- 361 niter:282250  1474m 31s (- 1526m 45s) completed: 49%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0479  acc: 0.5977  lr: 0.0000 
Validation loss:1.593, accuracy:0.564
ep/it:737-  28 niter:282300  1474m 48s (- 1526m 31s) completed: 49%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0487  acc: 0.5986  lr: 0.0000 
ep/it:737-  78 niter:282350  1475m 3s (- 1526m 15s) completed: 49%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0478  acc: 0.5965  lr: 0.0000 
ep/it:737- 128 niter:282400  1475m 17s (- 1525m 57s) completed: 49%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0480  acc: 0.5999  lr: 0.0000 
ep/it:737- 178 niter:282450  1475m 31s (- 1525m 40s) completed: 49%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0476  acc: 0.5915  lr: 0.0000 
ep/it:737- 228 niter:282500  1475m 45s (- 1525m 23s) completed: 49%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0494  acc: 0.5971  lr: 0.0000 
ep/it:737- 278 niter:282550  1476m 1s (- 1525m 7s) completed: 49%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0489  acc: 0.5977  lr: 0.0000 
ep/it:737- 328 niter:282600  1476m 15s (- 1524m 50s) completed: 49%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0473  acc: 0.6051  lr: 0.0000 
ep/it:737- 378 niter:282650  1476m 29s (- 1524m 33s) completed: 49%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0467  acc: 0.5979  lr: 0.0000 
Validation loss:1.594, accuracy:0.567
ep/it:738-  45 niter:282700  1476m 46s (- 1524m 18s) completed: 49%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0468  acc: 0.6001  lr: 0.0000 
ep/it:738-  95 niter:282750  1477m 0s (- 1524m 1s) completed: 49%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0472  acc: 0.5980  lr: 0.0000 
ep/it:738- 145 niter:282800  1477m 14s (- 1523m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.3690  loss_TTT: 0.0481  acc: 0.6034  lr: 0.0000 
ep/it:738- 195 niter:282850  1477m 28s (- 1523m 26s) completed: 49%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0467  acc: 0.6014  lr: 0.0000 
ep/it:738- 245 niter:282900  1477m 42s (- 1523m 9s) completed: 49%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0473  acc: 0.5938  lr: 0.0000 
ep/it:738- 295 niter:282950  1477m 56s (- 1522m 52s) completed: 49%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0470  acc: 0.6021  lr: 0.0000 
ep/it:738- 345 niter:283000  1478m 11s (- 1522m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0477  acc: 0.6011  lr: 0.0000 
Validation loss:1.573, accuracy:0.569
ep/it:739-  12 niter:283050  1478m 28s (- 1522m 20s) completed: 49%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0478  acc: 0.6048  lr: 0.0000 
ep/it:739-  62 niter:283100  1478m 42s (- 1522m 3s) completed: 49%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0485  acc: 0.5978  lr: 0.0000 
ep/it:739- 112 niter:283150  1478m 56s (- 1521m 46s) completed: 49%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0461  acc: 0.5952  lr: 0.0000 
ep/it:739- 162 niter:283200  1479m 10s (- 1521m 29s) completed: 49%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0479  acc: 0.5961  lr: 0.0000 
ep/it:739- 212 niter:283250  1479m 25s (- 1521m 12s) completed: 49%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0463  acc: 0.5986  lr: 0.0000 
ep/it:739- 262 niter:283300  1479m 39s (- 1520m 54s) completed: 49%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0479  acc: 0.5928  lr: 0.0000 
ep/it:739- 312 niter:283350  1479m 52s (- 1520m 37s) completed: 49%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0484  acc: 0.6025  lr: 0.0000 
ep/it:739- 362 niter:283400  1480m 7s (- 1520m 19s) completed: 49%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0474  acc: 0.6058  lr: 0.0000 
Validation loss:1.610, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.78it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.90870202798396 avg: 38.90870202798396
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.492895077914 avg: 38.70079855294898
--> 	 Eva. Repeat 0 :, FID. 0.0830, Diversity Real. 9.5588, Diversity. 9.4744, R_precision_real. [0.51074219 0.71875    0.80371094], R_precision. [0.50878906 0.703125   0.79785156], matching_score_real. 2.8914, matching_score_pred. 2.9563, skate_ratio. 0.0458, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0508 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0096 (kps_fail_50cm (Loc. err)): 0.0008 (kps_mean_err(m) (Avg. err)): 0.0263 
ep/it:740-  29 niter:283450  1481m 42s (- 1521m 26s) completed: 49%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0468  acc: 0.5937  lr: 0.0000 
ep/it:740-  79 niter:283500  1481m 56s (- 1521m 9s) completed: 49%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0477  acc: 0.6025  lr: 0.0000 
ep/it:740- 129 niter:283550  1482m 11s (- 1520m 52s) completed: 49%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0470  acc: 0.6019  lr: 0.0000 
ep/it:740- 179 niter:283600  1482m 26s (- 1520m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0479  acc: 0.6006  lr: 0.0000 
ep/it:740- 229 niter:283650  1482m 40s (- 1520m 18s) completed: 49%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0475  acc: 0.5997  lr: 0.0000 
ep/it:740- 279 niter:283700  1482m 54s (- 1520m 1s) completed: 49%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0487  acc: 0.5944  lr: 0.0000 
ep/it:740- 329 niter:283750  1483m 8s (- 1519m 44s) completed: 49%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0466  acc: 0.6045  lr: 0.0000 
ep/it:740- 379 niter:283800  1483m 22s (- 1519m 26s) completed: 49%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0486  acc: 0.5956  lr: 0.0000 
Validation loss:1.550, accuracy:0.577
ep/it:741-  46 niter:283850  1483m 40s (- 1519m 12s) completed: 49%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0465  acc: 0.6013  lr: 0.0000 
ep/it:741-  96 niter:283900  1483m 54s (- 1518m 56s) completed: 49%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0471  acc: 0.6006  lr: 0.0000 
ep/it:741- 146 niter:283950  1484m 9s (- 1518m 38s) completed: 49%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0484  acc: 0.5950  lr: 0.0000 
ep/it:741- 196 niter:284000  1484m 23s (- 1518m 21s) completed: 49%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0487  acc: 0.6001  lr: 0.0000 
ep/it:741- 246 niter:284050  1484m 38s (- 1518m 5s) completed: 49%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0468  acc: 0.6046  lr: 0.0000 
ep/it:741- 296 niter:284100  1484m 52s (- 1517m 48s) completed: 49%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0475  acc: 0.6000  lr: 0.0000 
ep/it:741- 346 niter:284150  1485m 7s (- 1517m 31s) completed: 49%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0472  acc: 0.6001  lr: 0.0000 
Validation loss:1.557, accuracy:0.571
ep/it:742-  13 niter:284200  1485m 24s (- 1517m 17s) completed: 49%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0461  acc: 0.6039  lr: 0.0000 
ep/it:742-  63 niter:284250  1485m 38s (- 1517m 0s) completed: 49%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0478  acc: 0.5998  lr: 0.0000 
ep/it:742- 113 niter:284300  1485m 52s (- 1516m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0448  acc: 0.5977  lr: 0.0000 
ep/it:742- 163 niter:284350  1486m 7s (- 1516m 25s) completed: 49%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0471  acc: 0.5991  lr: 0.0000 
ep/it:742- 213 niter:284400  1486m 21s (- 1516m 8s) completed: 49%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0464  acc: 0.5999  lr: 0.0000 
ep/it:742- 263 niter:284450  1486m 35s (- 1515m 51s) completed: 49%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0477  acc: 0.6030  lr: 0.0000 
ep/it:742- 313 niter:284500  1486m 50s (- 1515m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0474  acc: 0.6000  lr: 0.0000 
ep/it:742- 363 niter:284550  1487m 5s (- 1515m 18s) completed: 49%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0479  acc: 0.6020  lr: 0.0000 
Validation loss:1.606, accuracy:0.559
ep/it:743-  30 niter:284600  1487m 21s (- 1515m 3s) completed: 49%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0473  acc: 0.5982  lr: 0.0000 
ep/it:743-  80 niter:284650  1487m 36s (- 1514m 46s) completed: 49%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0471  acc: 0.6047  lr: 0.0000 
ep/it:743- 130 niter:284700  1487m 51s (- 1514m 30s) completed: 49%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0478  acc: 0.5969  lr: 0.0000 
ep/it:743- 180 niter:284750  1488m 5s (- 1514m 13s) completed: 49%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0462  acc: 0.5980  lr: 0.0000 
ep/it:743- 230 niter:284800  1488m 20s (- 1513m 56s) completed: 49%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0469  acc: 0.5995  lr: 0.0000 
ep/it:743- 280 niter:284850  1488m 34s (- 1513m 40s) completed: 49%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0468  acc: 0.5963  lr: 0.0000 
ep/it:743- 330 niter:284900  1488m 49s (- 1513m 22s) completed: 49%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0481  acc: 0.5989  lr: 0.0000 
ep/it:743- 380 niter:284950  1489m 3s (- 1513m 5s) completed: 49%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0493  acc: 0.6016  lr: 0.0000 
Validation loss:1.596, accuracy:0.562
ep/it:744-  47 niter:285000  1489m 20s (- 1512m 51s) completed: 49%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0482  acc: 0.5992  lr: 0.0000 
ep/it:744-  97 niter:285050  1489m 35s (- 1512m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0474  acc: 0.5948  lr: 0.0000 
ep/it:744- 147 niter:285100  1489m 50s (- 1512m 18s) completed: 49%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0459  acc: 0.6023  lr: 0.0000 
ep/it:744- 197 niter:285150  1490m 5s (- 1512m 2s) completed: 49%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0473  acc: 0.5991  lr: 0.0000 
ep/it:744- 247 niter:285200  1490m 20s (- 1511m 45s) completed: 49%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0458  acc: 0.5950  lr: 0.0000 
ep/it:744- 297 niter:285250  1490m 34s (- 1511m 28s) completed: 49%) loss_emb: 0.0000  loss: 1.4073  loss_TTT: 0.0490  acc: 0.5938  lr: 0.0000 
ep/it:744- 347 niter:285300  1490m 48s (- 1511m 11s) completed: 49%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0455  acc: 0.5973  lr: 0.0000 
Validation loss:1.641, accuracy:0.553
ep/it:745-  14 niter:285350  1491m 6s (- 1510m 57s) completed: 49%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0495  acc: 0.5995  lr: 0.0000 
ep/it:745-  64 niter:285400  1491m 21s (- 1510m 41s) completed: 49%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0467  acc: 0.6022  lr: 0.0000 
ep/it:745- 114 niter:285450  1491m 35s (- 1510m 24s) completed: 49%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0494  acc: 0.5979  lr: 0.0000 
ep/it:745- 164 niter:285500  1491m 49s (- 1510m 7s) completed: 49%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0454  acc: 0.5972  lr: 0.0000 
ep/it:745- 214 niter:285550  1492m 4s (- 1509m 50s) completed: 49%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0475  acc: 0.5997  lr: 0.0000 
ep/it:745- 264 niter:285600  1492m 18s (- 1509m 33s) completed: 49%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0468  acc: 0.6005  lr: 0.0000 
ep/it:745- 314 niter:285650  1492m 33s (- 1509m 16s) completed: 49%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0459  acc: 0.5989  lr: 0.0000 
ep/it:745- 364 niter:285700  1492m 47s (- 1508m 59s) completed: 49%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0488  acc: 0.5951  lr: 0.0000 
Validation loss:1.595, accuracy:0.562
ep/it:746-  31 niter:285750  1493m 4s (- 1508m 44s) completed: 49%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0471  acc: 0.6065  lr: 0.0000 
ep/it:746-  81 niter:285800  1493m 18s (- 1508m 27s) completed: 49%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0486  acc: 0.5988  lr: 0.0000 
ep/it:746- 131 niter:285850  1493m 33s (- 1508m 11s) completed: 49%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0472  acc: 0.5862  lr: 0.0000 
ep/it:746- 181 niter:285900  1493m 47s (- 1507m 54s) completed: 49%) loss_emb: 0.0000  loss: 1.3821  loss_TTT: 0.0462  acc: 0.5997  lr: 0.0000 
ep/it:746- 231 niter:285950  1494m 1s (- 1507m 36s) completed: 49%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0468  acc: 0.6061  lr: 0.0000 
ep/it:746- 281 niter:286000  1494m 16s (- 1507m 19s) completed: 49%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0475  acc: 0.6005  lr: 0.0000 
ep/it:746- 331 niter:286050  1494m 30s (- 1507m 2s) completed: 49%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0478  acc: 0.6049  lr: 0.0000 
ep/it:746- 381 niter:286100  1494m 44s (- 1506m 45s) completed: 49%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0462  acc: 0.5957  lr: 0.0000 
Validation loss:1.598, accuracy:0.561
ep/it:747-  48 niter:286150  1495m 2s (- 1506m 31s) completed: 49%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0479  acc: 0.6086  lr: 0.0000 
ep/it:747-  98 niter:286200  1495m 16s (- 1506m 14s) completed: 49%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0463  acc: 0.5968  lr: 0.0000 
ep/it:747- 148 niter:286250  1495m 31s (- 1505m 58s) completed: 49%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0471  acc: 0.5978  lr: 0.0000 
ep/it:747- 198 niter:286300  1495m 45s (- 1505m 40s) completed: 49%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0478  acc: 0.5905  lr: 0.0000 
ep/it:747- 248 niter:286350  1495m 59s (- 1505m 23s) completed: 49%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0471  acc: 0.5957  lr: 0.0000 
ep/it:747- 298 niter:286400  1496m 14s (- 1505m 7s) completed: 49%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0481  acc: 0.6034  lr: 0.0000 
ep/it:747- 348 niter:286450  1496m 28s (- 1504m 50s) completed: 49%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0475  acc: 0.6013  lr: 0.0000 
Validation loss:1.615, accuracy:0.558
ep/it:748-  15 niter:286500  1496m 45s (- 1504m 36s) completed: 49%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0467  acc: 0.5995  lr: 0.0000 
ep/it:748-  65 niter:286550  1497m 0s (- 1504m 19s) completed: 49%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0467  acc: 0.6040  lr: 0.0000 
ep/it:748- 115 niter:286600  1497m 15s (- 1504m 2s) completed: 49%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0452  acc: 0.6010  lr: 0.0000 
ep/it:748- 165 niter:286650  1497m 29s (- 1503m 45s) completed: 49%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0465  acc: 0.6009  lr: 0.0000 
ep/it:748- 215 niter:286700  1497m 43s (- 1503m 28s) completed: 49%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0472  acc: 0.6036  lr: 0.0000 
ep/it:748- 265 niter:286750  1497m 58s (- 1503m 11s) completed: 49%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0476  acc: 0.6015  lr: 0.0000 
ep/it:748- 315 niter:286800  1498m 13s (- 1502m 55s) completed: 49%) loss_emb: 0.0000  loss: 1.4137  loss_TTT: 0.0467  acc: 0.5914  lr: 0.0000 
ep/it:748- 365 niter:286850  1498m 27s (- 1502m 38s) completed: 49%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0476  acc: 0.5995  lr: 0.0000 
Validation loss:1.586, accuracy:0.565
ep/it:749-  32 niter:286900  1498m 44s (- 1502m 24s) completed: 49%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0492  acc: 0.6037  lr: 0.0000 
ep/it:749-  82 niter:286950  1498m 59s (- 1502m 7s) completed: 49%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0484  acc: 0.5989  lr: 0.0000 
ep/it:749- 132 niter:287000  1499m 13s (- 1501m 50s) completed: 49%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0475  acc: 0.5970  lr: 0.0000 
ep/it:749- 182 niter:287050  1499m 28s (- 1501m 34s) completed: 49%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0484  acc: 0.6021  lr: 0.0000 
ep/it:749- 232 niter:287100  1499m 43s (- 1501m 17s) completed: 49%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0473  acc: 0.5958  lr: 0.0000 
ep/it:749- 282 niter:287150  1499m 57s (- 1501m 0s) completed: 49%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0464  acc: 0.6018  lr: 0.0000 
ep/it:749- 332 niter:287200  1500m 12s (- 1500m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0462  acc: 0.6015  lr: 0.0000 
ep/it:749- 382 niter:287250  1500m 26s (- 1500m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0474  acc: 0.6058  lr: 0.0000 
Validation loss:1.576, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.55it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.50798280723393 avg: 38.50798280723393
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.67396329063922 avg: 38.590973048936576
--> 	 Eva. Repeat 0 :, FID. 0.1120, Diversity Real. 9.6426, Diversity. 9.5552, R_precision_real. [0.52441406 0.6953125  0.80078125], R_precision. [0.48632812 0.6953125  0.79882812], matching_score_real. 2.9127, matching_score_pred. 2.9884, skate_ratio. 0.0472, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0615 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0126 (kps_fail_50cm (Loc. err)): 0.0026 (kps_mean_err(m) (Avg. err)): 0.0286 
ep/it:750-  49 niter:287300  1502m 2s (- 1501m 31s) completed: 50%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0485  acc: 0.5970  lr: 0.0000 
ep/it:750-  99 niter:287350  1502m 17s (- 1501m 14s) completed: 50%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0477  acc: 0.5972  lr: 0.0000 
ep/it:750- 149 niter:287400  1502m 31s (- 1500m 57s) completed: 50%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0458  acc: 0.5961  lr: 0.0000 
ep/it:750- 199 niter:287450  1502m 46s (- 1500m 40s) completed: 50%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0471  acc: 0.5999  lr: 0.0000 
ep/it:750- 249 niter:287500  1503m 0s (- 1500m 23s) completed: 50%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0461  acc: 0.5997  lr: 0.0000 
ep/it:750- 299 niter:287550  1503m 15s (- 1500m 6s) completed: 50%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0479  acc: 0.5993  lr: 0.0000 
ep/it:750- 349 niter:287600  1503m 29s (- 1499m 50s) completed: 50%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0472  acc: 0.5993  lr: 0.0000 
Validation loss:1.613, accuracy:0.560
ep/it:751-  16 niter:287650  1503m 46s (- 1499m 36s) completed: 50%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0485  acc: 0.6005  lr: 0.0000 
ep/it:751-  66 niter:287700  1504m 1s (- 1499m 18s) completed: 50%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0492  acc: 0.5988  lr: 0.0000 
ep/it:751- 116 niter:287750  1504m 15s (- 1499m 1s) completed: 50%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0467  acc: 0.5951  lr: 0.0000 
ep/it:751- 166 niter:287800  1504m 29s (- 1498m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0455  acc: 0.6032  lr: 0.0000 
ep/it:751- 216 niter:287850  1504m 43s (- 1498m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0470  acc: 0.6006  lr: 0.0000 
ep/it:751- 266 niter:287900  1504m 57s (- 1498m 9s) completed: 50%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0481  acc: 0.6062  lr: 0.0000 
ep/it:751- 316 niter:287950  1505m 11s (- 1497m 52s) completed: 50%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0493  acc: 0.5962  lr: 0.0000 
ep/it:751- 366 niter:288000  1505m 25s (- 1497m 35s) completed: 50%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0462  acc: 0.5979  lr: 0.0000 
Validation loss:1.609, accuracy:0.560
ep/it:752-  33 niter:288050  1505m 42s (- 1497m 20s) completed: 50%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0473  acc: 0.5991  lr: 0.0000 
ep/it:752-  83 niter:288100  1505m 57s (- 1497m 4s) completed: 50%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0479  acc: 0.5974  lr: 0.0000 
ep/it:752- 133 niter:288150  1506m 11s (- 1496m 47s) completed: 50%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0474  acc: 0.6053  lr: 0.0000 
ep/it:752- 183 niter:288200  1506m 26s (- 1496m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0460  acc: 0.6031  lr: 0.0000 
ep/it:752- 233 niter:288250  1506m 40s (- 1496m 13s) completed: 50%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0472  acc: 0.6054  lr: 0.0000 
ep/it:752- 283 niter:288300  1506m 54s (- 1495m 56s) completed: 50%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0485  acc: 0.5951  lr: 0.0000 
ep/it:752- 333 niter:288350  1507m 9s (- 1495m 39s) completed: 50%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0461  acc: 0.5979  lr: 0.0000 
Validation loss:1.560, accuracy:0.573
ep/it:753-   0 niter:288400  1507m 26s (- 1495m 25s) completed: 50%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0484  acc: 0.6014  lr: 0.0000 
ep/it:753-  50 niter:288450  1507m 40s (- 1495m 8s) completed: 50%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0469  acc: 0.6018  lr: 0.0000 
ep/it:753- 100 niter:288500  1507m 55s (- 1494m 51s) completed: 50%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0477  acc: 0.5943  lr: 0.0000 
ep/it:753- 150 niter:288550  1508m 10s (- 1494m 35s) completed: 50%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0467  acc: 0.5992  lr: 0.0000 
ep/it:753- 200 niter:288600  1508m 24s (- 1494m 18s) completed: 50%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0490  acc: 0.5943  lr: 0.0000 
ep/it:753- 250 niter:288650  1508m 39s (- 1494m 1s) completed: 50%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0457  acc: 0.6067  lr: 0.0000 
ep/it:753- 300 niter:288700  1508m 52s (- 1493m 43s) completed: 50%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0467  acc: 0.6029  lr: 0.0000 
ep/it:753- 350 niter:288750  1509m 7s (- 1493m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0465  acc: 0.5973  lr: 0.0000 
Validation loss:1.568, accuracy:0.570
ep/it:754-  17 niter:288800  1509m 25s (- 1493m 13s) completed: 50%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0482  acc: 0.5969  lr: 0.0000 
ep/it:754-  67 niter:288850  1509m 39s (- 1492m 56s) completed: 50%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0468  acc: 0.5988  lr: 0.0000 
ep/it:754- 117 niter:288900  1509m 53s (- 1492m 39s) completed: 50%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0485  acc: 0.5978  lr: 0.0000 
ep/it:754- 167 niter:288950  1510m 8s (- 1492m 22s) completed: 50%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0480  acc: 0.5993  lr: 0.0000 
ep/it:754- 217 niter:289000  1510m 23s (- 1492m 5s) completed: 50%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0470  acc: 0.6036  lr: 0.0000 
ep/it:754- 267 niter:289050  1510m 38s (- 1491m 49s) completed: 50%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0481  acc: 0.5955  lr: 0.0000 
ep/it:754- 317 niter:289100  1510m 53s (- 1491m 32s) completed: 50%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0460  acc: 0.5989  lr: 0.0000 
ep/it:754- 367 niter:289150  1511m 7s (- 1491m 16s) completed: 50%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0465  acc: 0.5974  lr: 0.0000 
Validation loss:1.591, accuracy:0.563
ep/it:755-  34 niter:289200  1511m 24s (- 1491m 1s) completed: 50%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0482  acc: 0.6002  lr: 0.0000 
ep/it:755-  84 niter:289250  1511m 38s (- 1490m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0473  acc: 0.5967  lr: 0.0000 
ep/it:755- 134 niter:289300  1511m 52s (- 1490m 27s) completed: 50%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0456  acc: 0.6018  lr: 0.0000 
ep/it:755- 184 niter:289350  1512m 6s (- 1490m 9s) completed: 50%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0476  acc: 0.6010  lr: 0.0000 
ep/it:755- 234 niter:289400  1512m 21s (- 1489m 52s) completed: 50%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0466  acc: 0.5972  lr: 0.0000 
ep/it:755- 284 niter:289450  1512m 35s (- 1489m 36s) completed: 50%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0465  acc: 0.5992  lr: 0.0000 
ep/it:755- 334 niter:289500  1512m 49s (- 1489m 18s) completed: 50%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0491  acc: 0.6016  lr: 0.0000 
Validation loss:1.563, accuracy:0.572
ep/it:756-   1 niter:289550  1513m 6s (- 1489m 4s) completed: 50%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0467  acc: 0.6028  lr: 0.0000 
ep/it:756-  51 niter:289600  1513m 21s (- 1488m 47s) completed: 50%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0463  acc: 0.5949  lr: 0.0000 
ep/it:756- 101 niter:289650  1513m 34s (- 1488m 29s) completed: 50%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0489  acc: 0.5999  lr: 0.0000 
ep/it:756- 151 niter:289700  1513m 49s (- 1488m 12s) completed: 50%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0459  acc: 0.6023  lr: 0.0000 
ep/it:756- 201 niter:289750  1514m 3s (- 1487m 55s) completed: 50%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0450  acc: 0.6033  lr: 0.0000 
ep/it:756- 251 niter:289800  1514m 17s (- 1487m 38s) completed: 50%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0480  acc: 0.5954  lr: 0.0000 
ep/it:756- 301 niter:289850  1514m 31s (- 1487m 20s) completed: 50%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0491  acc: 0.6003  lr: 0.0000 
ep/it:756- 351 niter:289900  1514m 45s (- 1487m 3s) completed: 50%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0457  acc: 0.6045  lr: 0.0000 
Validation loss:1.624, accuracy:0.556
ep/it:757-  18 niter:289950  1515m 2s (- 1486m 49s) completed: 50%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0472  acc: 0.6049  lr: 0.0000 
ep/it:757-  68 niter:290000  1515m 16s (- 1486m 32s) completed: 50%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0472  acc: 0.5955  lr: 0.0000 
ep/it:757- 118 niter:290050  1515m 31s (- 1486m 16s) completed: 50%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0480  acc: 0.5921  lr: 0.0000 
ep/it:757- 168 niter:290100  1515m 46s (- 1485m 59s) completed: 50%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0475  acc: 0.5959  lr: 0.0000 
ep/it:757- 218 niter:290150  1516m 0s (- 1485m 42s) completed: 50%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0472  acc: 0.5970  lr: 0.0000 
ep/it:757- 268 niter:290200  1516m 15s (- 1485m 25s) completed: 50%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0481  acc: 0.5981  lr: 0.0000 
ep/it:757- 318 niter:290250  1516m 30s (- 1485m 9s) completed: 50%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0485  acc: 0.5945  lr: 0.0000 
ep/it:757- 368 niter:290300  1516m 44s (- 1484m 51s) completed: 50%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0465  acc: 0.5998  lr: 0.0000 
Validation loss:1.609, accuracy:0.559
ep/it:758-  35 niter:290350  1517m 1s (- 1484m 38s) completed: 50%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0479  acc: 0.6006  lr: 0.0000 
ep/it:758-  85 niter:290400  1517m 16s (- 1484m 21s) completed: 50%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0468  acc: 0.6039  lr: 0.0000 
ep/it:758- 135 niter:290450  1517m 30s (- 1484m 4s) completed: 50%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0488  acc: 0.5888  lr: 0.0000 
ep/it:758- 185 niter:290500  1517m 45s (- 1483m 48s) completed: 50%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0472  acc: 0.5987  lr: 0.0000 
ep/it:758- 235 niter:290550  1518m 0s (- 1483m 31s) completed: 50%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0475  acc: 0.5994  lr: 0.0000 
ep/it:758- 285 niter:290600  1518m 15s (- 1483m 14s) completed: 50%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0463  acc: 0.6008  lr: 0.0000 
ep/it:758- 335 niter:290650  1518m 29s (- 1482m 58s) completed: 50%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0472  acc: 0.6026  lr: 0.0000 
Validation loss:1.594, accuracy:0.562
ep/it:759-   2 niter:290700  1518m 46s (- 1482m 43s) completed: 50%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0472  acc: 0.6024  lr: 0.0000 
ep/it:759-  52 niter:290750  1519m 0s (- 1482m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0488  acc: 0.6001  lr: 0.0000 
ep/it:759- 102 niter:290800  1519m 15s (- 1482m 9s) completed: 50%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0490  acc: 0.5979  lr: 0.0000 
ep/it:759- 152 niter:290850  1519m 29s (- 1481m 53s) completed: 50%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0472  acc: 0.5977  lr: 0.0000 
ep/it:759- 202 niter:290900  1519m 44s (- 1481m 36s) completed: 50%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0468  acc: 0.6020  lr: 0.0000 
ep/it:759- 252 niter:290950  1519m 58s (- 1481m 19s) completed: 50%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0475  acc: 0.5923  lr: 0.0000 
ep/it:759- 302 niter:291000  1520m 13s (- 1481m 2s) completed: 50%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0459  acc: 0.6014  lr: 0.0000 
ep/it:759- 352 niter:291050  1520m 28s (- 1480m 45s) completed: 50%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0462  acc: 0.6020  lr: 0.0000 
Validation loss:1.548, accuracy:0.577

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.56it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.562564498744905 avg: 38.562564498744905
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.74036106746644 avg: 38.65146278310567
--> 	 Eva. Repeat 0 :, FID. 0.0825, Diversity Real. 9.4211, Diversity. 9.5484, R_precision_real. [0.51171875 0.69433594 0.79199219], R_precision. [0.50976562 0.69335938 0.79101562], matching_score_real. 2.9066, matching_score_pred. 2.9484, skate_ratio. 0.0490, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0488 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0068 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0265 
ep/it:760-  19 niter:291100  1522m 3s (- 1481m 48s) completed: 50%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0496  acc: 0.6004  lr: 0.0000 
ep/it:760-  69 niter:291150  1522m 18s (- 1481m 31s) completed: 50%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0475  acc: 0.5933  lr: 0.0000 
ep/it:760- 119 niter:291200  1522m 32s (- 1481m 14s) completed: 50%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0480  acc: 0.5971  lr: 0.0000 
ep/it:760- 169 niter:291250  1522m 46s (- 1480m 57s) completed: 50%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0461  acc: 0.6074  lr: 0.0000 
ep/it:760- 219 niter:291300  1523m 1s (- 1480m 40s) completed: 50%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0470  acc: 0.6025  lr: 0.0000 
ep/it:760- 269 niter:291350  1523m 15s (- 1480m 23s) completed: 50%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0472  acc: 0.5991  lr: 0.0000 
ep/it:760- 319 niter:291400  1523m 30s (- 1480m 6s) completed: 50%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0491  acc: 0.5960  lr: 0.0000 
ep/it:760- 369 niter:291450  1523m 44s (- 1479m 49s) completed: 50%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0483  acc: 0.6006  lr: 0.0000 
Validation loss:1.591, accuracy:0.565
ep/it:761-  36 niter:291500  1524m 2s (- 1479m 35s) completed: 50%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0470  acc: 0.5954  lr: 0.0000 
ep/it:761-  86 niter:291550  1524m 16s (- 1479m 19s) completed: 50%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0478  acc: 0.5994  lr: 0.0000 
ep/it:761- 136 niter:291600  1524m 31s (- 1479m 2s) completed: 50%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0477  acc: 0.5983  lr: 0.0000 
ep/it:761- 186 niter:291650  1524m 46s (- 1478m 45s) completed: 50%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0472  acc: 0.6045  lr: 0.0000 
ep/it:761- 236 niter:291700  1525m 0s (- 1478m 28s) completed: 50%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0470  acc: 0.5951  lr: 0.0000 
ep/it:761- 286 niter:291750  1525m 15s (- 1478m 12s) completed: 50%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0469  acc: 0.6000  lr: 0.0000 
ep/it:761- 336 niter:291800  1525m 29s (- 1477m 55s) completed: 50%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0464  acc: 0.6006  lr: 0.0000 
Validation loss:1.591, accuracy:0.564
ep/it:762-   3 niter:291850  1525m 47s (- 1477m 41s) completed: 50%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0483  acc: 0.5941  lr: 0.0000 
ep/it:762-  53 niter:291900  1526m 1s (- 1477m 24s) completed: 50%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0473  acc: 0.6016  lr: 0.0000 
ep/it:762- 103 niter:291950  1526m 16s (- 1477m 7s) completed: 50%) loss_emb: 0.0000  loss: 1.3357  loss_TTT: 0.0461  acc: 0.6119  lr: 0.0000 
ep/it:762- 153 niter:292000  1526m 29s (- 1476m 49s) completed: 50%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0466  acc: 0.6025  lr: 0.0000 
ep/it:762- 203 niter:292050  1526m 44s (- 1476m 33s) completed: 50%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0455  acc: 0.6045  lr: 0.0000 
ep/it:762- 253 niter:292100  1526m 58s (- 1476m 16s) completed: 50%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0488  acc: 0.5936  lr: 0.0000 
ep/it:762- 303 niter:292150  1527m 12s (- 1475m 58s) completed: 50%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0473  acc: 0.5918  lr: 0.0000 
ep/it:762- 353 niter:292200  1527m 27s (- 1475m 42s) completed: 50%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0471  acc: 0.6002  lr: 0.0000 
Validation loss:1.583, accuracy:0.566
ep/it:763-  20 niter:292250  1527m 44s (- 1475m 27s) completed: 50%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0480  acc: 0.5978  lr: 0.0000 
ep/it:763-  70 niter:292300  1527m 58s (- 1475m 11s) completed: 50%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0485  acc: 0.5987  lr: 0.0000 
ep/it:763- 120 niter:292350  1528m 13s (- 1474m 54s) completed: 50%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0479  acc: 0.5966  lr: 0.0000 
ep/it:763- 170 niter:292400  1528m 28s (- 1474m 37s) completed: 50%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0466  acc: 0.5965  lr: 0.0000 
ep/it:763- 220 niter:292450  1528m 42s (- 1474m 20s) completed: 50%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0458  acc: 0.5996  lr: 0.0000 
ep/it:763- 270 niter:292500  1528m 56s (- 1474m 3s) completed: 50%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0467  acc: 0.6021  lr: 0.0000 
ep/it:763- 320 niter:292550  1529m 11s (- 1473m 47s) completed: 50%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0465  acc: 0.5939  lr: 0.0000 
ep/it:763- 370 niter:292600  1529m 26s (- 1473m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0479  acc: 0.5986  lr: 0.0000 
Validation loss:1.582, accuracy:0.567
ep/it:764-  37 niter:292650  1529m 43s (- 1473m 16s) completed: 50%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0484  acc: 0.5897  lr: 0.0000 
ep/it:764-  87 niter:292700  1529m 57s (- 1472m 59s) completed: 50%) loss_emb: 0.0000  loss: 1.3821  loss_TTT: 0.0484  acc: 0.5992  lr: 0.0000 
ep/it:764- 137 niter:292750  1530m 12s (- 1472m 42s) completed: 50%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0483  acc: 0.5890  lr: 0.0000 
ep/it:764- 187 niter:292800  1530m 27s (- 1472m 25s) completed: 50%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0487  acc: 0.6008  lr: 0.0000 
ep/it:764- 237 niter:292850  1530m 42s (- 1472m 9s) completed: 50%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0472  acc: 0.6007  lr: 0.0000 
ep/it:764- 287 niter:292900  1530m 56s (- 1471m 52s) completed: 50%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0469  acc: 0.5951  lr: 0.0000 
ep/it:764- 337 niter:292950  1531m 11s (- 1471m 36s) completed: 50%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0458  acc: 0.6050  lr: 0.0000 
Validation loss:1.531, accuracy:0.580
ep/it:765-   4 niter:293000  1531m 28s (- 1471m 21s) completed: 51%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0460  acc: 0.5965  lr: 0.0000 
ep/it:765-  54 niter:293050  1531m 43s (- 1471m 5s) completed: 51%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0465  acc: 0.6034  lr: 0.0000 
ep/it:765- 104 niter:293100  1531m 58s (- 1470m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0455  acc: 0.6035  lr: 0.0000 
ep/it:765- 154 niter:293150  1532m 12s (- 1470m 32s) completed: 51%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0472  acc: 0.5955  lr: 0.0000 
ep/it:765- 204 niter:293200  1532m 27s (- 1470m 15s) completed: 51%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0480  acc: 0.5995  lr: 0.0000 
ep/it:765- 254 niter:293250  1532m 41s (- 1469m 58s) completed: 51%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0465  acc: 0.6047  lr: 0.0000 
ep/it:765- 304 niter:293300  1532m 56s (- 1469m 42s) completed: 51%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0460  acc: 0.5981  lr: 0.0000 
ep/it:765- 354 niter:293350  1533m 11s (- 1469m 25s) completed: 51%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0466  acc: 0.6024  lr: 0.0000 
Validation loss:1.573, accuracy:0.570
ep/it:766-  21 niter:293400  1533m 27s (- 1469m 10s) completed: 51%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0465  acc: 0.5971  lr: 0.0000 
ep/it:766-  71 niter:293450  1533m 41s (- 1468m 53s) completed: 51%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0466  acc: 0.5951  lr: 0.0000 
ep/it:766- 121 niter:293500  1533m 56s (- 1468m 36s) completed: 51%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0470  acc: 0.5984  lr: 0.0000 
ep/it:766- 171 niter:293550  1534m 10s (- 1468m 19s) completed: 51%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0483  acc: 0.5959  lr: 0.0000 
ep/it:766- 221 niter:293600  1534m 25s (- 1468m 2s) completed: 51%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0479  acc: 0.6049  lr: 0.0000 
ep/it:766- 271 niter:293650  1534m 39s (- 1467m 46s) completed: 51%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0478  acc: 0.5970  lr: 0.0000 
ep/it:766- 321 niter:293700  1534m 54s (- 1467m 29s) completed: 51%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0471  acc: 0.6006  lr: 0.0000 
ep/it:766- 371 niter:293750  1535m 7s (- 1467m 11s) completed: 51%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0470  acc: 0.5879  lr: 0.0000 
Validation loss:1.594, accuracy:0.562
ep/it:767-  38 niter:293800  1535m 25s (- 1466m 57s) completed: 51%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0461  acc: 0.6006  lr: 0.0000 
ep/it:767-  88 niter:293850  1535m 39s (- 1466m 40s) completed: 51%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0466  acc: 0.5948  lr: 0.0000 
ep/it:767- 138 niter:293900  1535m 54s (- 1466m 23s) completed: 51%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0485  acc: 0.5929  lr: 0.0000 
ep/it:767- 188 niter:293950  1536m 8s (- 1466m 6s) completed: 51%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0467  acc: 0.6022  lr: 0.0000 
ep/it:767- 238 niter:294000  1536m 23s (- 1465m 50s) completed: 51%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0470  acc: 0.6015  lr: 0.0000 
ep/it:767- 288 niter:294050  1536m 38s (- 1465m 33s) completed: 51%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0467  acc: 0.5964  lr: 0.0000 
ep/it:767- 338 niter:294100  1536m 52s (- 1465m 16s) completed: 51%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0452  acc: 0.6002  lr: 0.0000 
Validation loss:1.563, accuracy:0.571
ep/it:768-   5 niter:294150  1537m 9s (- 1465m 2s) completed: 51%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0490  acc: 0.5920  lr: 0.0000 
ep/it:768-  55 niter:294200  1537m 24s (- 1464m 45s) completed: 51%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0478  acc: 0.6026  lr: 0.0000 
ep/it:768- 105 niter:294250  1537m 38s (- 1464m 28s) completed: 51%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0478  acc: 0.6047  lr: 0.0000 
ep/it:768- 155 niter:294300  1537m 53s (- 1464m 12s) completed: 51%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0463  acc: 0.6020  lr: 0.0000 
ep/it:768- 205 niter:294350  1538m 8s (- 1463m 55s) completed: 51%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0453  acc: 0.6008  lr: 0.0000 
ep/it:768- 255 niter:294400  1538m 21s (- 1463m 38s) completed: 51%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0465  acc: 0.6000  lr: 0.0000 
ep/it:768- 305 niter:294450  1538m 36s (- 1463m 21s) completed: 51%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0465  acc: 0.6049  lr: 0.0000 
ep/it:768- 355 niter:294500  1538m 50s (- 1463m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0464  acc: 0.5950  lr: 0.0000 
Validation loss:1.598, accuracy:0.562
ep/it:769-  22 niter:294550  1539m 7s (- 1462m 50s) completed: 51%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0459  acc: 0.6060  lr: 0.0000 
ep/it:769-  72 niter:294600  1539m 21s (- 1462m 33s) completed: 51%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0475  acc: 0.6059  lr: 0.0000 
ep/it:769- 122 niter:294650  1539m 36s (- 1462m 16s) completed: 51%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0450  acc: 0.5983  lr: 0.0000 
ep/it:769- 172 niter:294700  1539m 50s (- 1461m 59s) completed: 51%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0472  acc: 0.5916  lr: 0.0000 
ep/it:769- 222 niter:294750  1540m 4s (- 1461m 42s) completed: 51%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0467  acc: 0.6008  lr: 0.0000 
ep/it:769- 272 niter:294800  1540m 19s (- 1461m 25s) completed: 51%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0474  acc: 0.5982  lr: 0.0000 
ep/it:769- 322 niter:294850  1540m 33s (- 1461m 8s) completed: 51%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0469  acc: 0.5967  lr: 0.0000 
ep/it:769- 372 niter:294900  1540m 47s (- 1460m 51s) completed: 51%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0479  acc: 0.5989  lr: 0.0000 
Validation loss:1.562, accuracy:0.570

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.95it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.83121044188738 avg: 38.83121044188738
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.96429027430713 avg: 38.897750358097255
--> 	 Eva. Repeat 0 :, FID. 0.0977, Diversity Real. 9.3626, Diversity. 9.7089, R_precision_real. [0.51269531 0.69921875 0.79394531], R_precision. [0.50976562 0.703125   0.79394531], matching_score_real. 2.9758, matching_score_pred. 2.9999, skate_ratio. 0.0479, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0105 (kps_fail_50cm (Loc. err)): 0.0015 (kps_mean_err(m) (Avg. err)): 0.0273 
ep/it:770-  39 niter:294950  1542m 23s (- 1461m 51s) completed: 51%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0467  acc: 0.5974  lr: 0.0000 
ep/it:770-  89 niter:295000  1542m 37s (- 1461m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0466  acc: 0.5975  lr: 0.0000 
ep/it:770- 139 niter:295050  1542m 52s (- 1461m 18s) completed: 51%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0459  acc: 0.5980  lr: 0.0000 
ep/it:770- 189 niter:295100  1543m 7s (- 1461m 1s) completed: 51%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0475  acc: 0.6039  lr: 0.0000 
ep/it:770- 239 niter:295150  1543m 21s (- 1460m 44s) completed: 51%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0477  acc: 0.6021  lr: 0.0000 
ep/it:770- 289 niter:295200  1543m 34s (- 1460m 26s) completed: 51%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0474  acc: 0.5942  lr: 0.0000 
ep/it:770- 339 niter:295250  1543m 49s (- 1460m 9s) completed: 51%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0473  acc: 0.5984  lr: 0.0000 
Validation loss:1.576, accuracy:0.568
ep/it:771-   6 niter:295300  1544m 6s (- 1459m 54s) completed: 51%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0456  acc: 0.6024  lr: 0.0000 
ep/it:771-  56 niter:295350  1544m 20s (- 1459m 37s) completed: 51%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0488  acc: 0.6031  lr: 0.0000 
ep/it:771- 106 niter:295400  1544m 35s (- 1459m 21s) completed: 51%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0479  acc: 0.5919  lr: 0.0000 
ep/it:771- 156 niter:295450  1544m 49s (- 1459m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0477  acc: 0.5967  lr: 0.0000 
ep/it:771- 206 niter:295500  1545m 3s (- 1458m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0478  acc: 0.5989  lr: 0.0000 
ep/it:771- 256 niter:295550  1545m 18s (- 1458m 30s) completed: 51%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0468  acc: 0.6006  lr: 0.0000 
ep/it:771- 306 niter:295600  1545m 32s (- 1458m 13s) completed: 51%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0462  acc: 0.6033  lr: 0.0000 
ep/it:771- 356 niter:295650  1545m 46s (- 1457m 56s) completed: 51%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0452  acc: 0.6002  lr: 0.0000 
Validation loss:1.592, accuracy:0.562
ep/it:772-  23 niter:295700  1546m 3s (- 1457m 41s) completed: 51%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0487  acc: 0.6035  lr: 0.0000 
ep/it:772-  73 niter:295750  1546m 17s (- 1457m 24s) completed: 51%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0465  acc: 0.6003  lr: 0.0000 
ep/it:772- 123 niter:295800  1546m 31s (- 1457m 7s) completed: 51%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0482  acc: 0.6006  lr: 0.0000 
ep/it:772- 173 niter:295850  1546m 46s (- 1456m 51s) completed: 51%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0453  acc: 0.6059  lr: 0.0000 
ep/it:772- 223 niter:295900  1547m 0s (- 1456m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0475  acc: 0.5964  lr: 0.0000 
ep/it:772- 273 niter:295950  1547m 14s (- 1456m 16s) completed: 51%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0455  acc: 0.6006  lr: 0.0000 
ep/it:772- 323 niter:296000  1547m 28s (- 1455m 59s) completed: 51%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0474  acc: 0.6054  lr: 0.0000 
ep/it:772- 373 niter:296050  1547m 43s (- 1455m 42s) completed: 51%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0445  acc: 0.6036  lr: 0.0000 
Validation loss:1.598, accuracy:0.563
ep/it:773-  40 niter:296100  1548m 1s (- 1455m 29s) completed: 51%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0481  acc: 0.6025  lr: 0.0000 
ep/it:773-  90 niter:296150  1548m 15s (- 1455m 12s) completed: 51%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0474  acc: 0.5952  lr: 0.0000 
ep/it:773- 140 niter:296200  1548m 29s (- 1454m 54s) completed: 51%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0485  acc: 0.6039  lr: 0.0000 
ep/it:773- 190 niter:296250  1548m 43s (- 1454m 37s) completed: 51%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0452  acc: 0.5972  lr: 0.0000 
ep/it:773- 240 niter:296300  1548m 58s (- 1454m 20s) completed: 51%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0469  acc: 0.5935  lr: 0.0000 
ep/it:773- 290 niter:296350  1549m 12s (- 1454m 3s) completed: 51%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0465  acc: 0.5955  lr: 0.0000 
ep/it:773- 340 niter:296400  1549m 27s (- 1453m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0472  acc: 0.5997  lr: 0.0000 
Validation loss:1.626, accuracy:0.555
ep/it:774-   7 niter:296450  1549m 43s (- 1453m 32s) completed: 51%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0480  acc: 0.5980  lr: 0.0000 
ep/it:774-  57 niter:296500  1549m 57s (- 1453m 15s) completed: 51%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0464  acc: 0.5946  lr: 0.0000 
ep/it:774- 107 niter:296550  1550m 12s (- 1452m 58s) completed: 51%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0455  acc: 0.5990  lr: 0.0000 
ep/it:774- 157 niter:296600  1550m 26s (- 1452m 41s) completed: 51%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0475  acc: 0.5984  lr: 0.0000 
ep/it:774- 207 niter:296650  1550m 41s (- 1452m 24s) completed: 51%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0463  acc: 0.6021  lr: 0.0000 
ep/it:774- 257 niter:296700  1550m 55s (- 1452m 8s) completed: 51%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0456  acc: 0.6018  lr: 0.0000 
ep/it:774- 307 niter:296750  1551m 9s (- 1451m 50s) completed: 51%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0482  acc: 0.5982  lr: 0.0000 
ep/it:774- 357 niter:296800  1551m 24s (- 1451m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0460  acc: 0.5998  lr: 0.0000 
Validation loss:1.630, accuracy:0.554
ep/it:775-  24 niter:296850  1551m 41s (- 1451m 19s) completed: 51%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0475  acc: 0.6042  lr: 0.0000 
ep/it:775-  74 niter:296900  1551m 56s (- 1451m 3s) completed: 51%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0473  acc: 0.5951  lr: 0.0000 
ep/it:775- 124 niter:296950  1552m 10s (- 1450m 46s) completed: 51%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0467  acc: 0.5982  lr: 0.0000 
ep/it:775- 174 niter:297000  1552m 25s (- 1450m 29s) completed: 51%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0470  acc: 0.5981  lr: 0.0000 
ep/it:775- 224 niter:297050  1552m 40s (- 1450m 13s) completed: 51%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0469  acc: 0.6026  lr: 0.0000 
ep/it:775- 274 niter:297100  1552m 54s (- 1449m 56s) completed: 51%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0464  acc: 0.6064  lr: 0.0000 
ep/it:775- 324 niter:297150  1553m 8s (- 1449m 38s) completed: 51%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0490  acc: 0.5927  lr: 0.0000 
ep/it:775- 374 niter:297200  1553m 22s (- 1449m 21s) completed: 51%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0455  acc: 0.5988  lr: 0.0000 
Validation loss:1.607, accuracy:0.560
ep/it:776-  41 niter:297250  1553m 38s (- 1449m 6s) completed: 51%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0485  acc: 0.5973  lr: 0.0000 
ep/it:776-  91 niter:297300  1553m 52s (- 1448m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0447  acc: 0.6000  lr: 0.0000 
ep/it:776- 141 niter:297350  1554m 6s (- 1448m 32s) completed: 51%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0467  acc: 0.5993  lr: 0.0000 
ep/it:776- 191 niter:297400  1554m 21s (- 1448m 15s) completed: 51%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0502  acc: 0.6011  lr: 0.0000 
ep/it:776- 241 niter:297450  1554m 35s (- 1447m 58s) completed: 51%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0456  acc: 0.6037  lr: 0.0000 
ep/it:776- 291 niter:297500  1554m 50s (- 1447m 42s) completed: 51%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0475  acc: 0.6017  lr: 0.0000 
ep/it:776- 341 niter:297550  1555m 5s (- 1447m 25s) completed: 51%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0480  acc: 0.5964  lr: 0.0000 
Validation loss:1.581, accuracy:0.568
ep/it:777-   8 niter:297600  1555m 22s (- 1447m 11s) completed: 51%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0472  acc: 0.5954  lr: 0.0000 
ep/it:777-  58 niter:297650  1555m 37s (- 1446m 54s) completed: 51%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0461  acc: 0.5975  lr: 0.0000 
ep/it:777- 108 niter:297700  1555m 51s (- 1446m 37s) completed: 51%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0466  acc: 0.5988  lr: 0.0000 
ep/it:777- 158 niter:297750  1556m 6s (- 1446m 21s) completed: 51%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0463  acc: 0.6069  lr: 0.0000 
ep/it:777- 208 niter:297800  1556m 20s (- 1446m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0465  acc: 0.5970  lr: 0.0000 
ep/it:777- 258 niter:297850  1556m 35s (- 1445m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0483  acc: 0.5955  lr: 0.0000 
ep/it:777- 308 niter:297900  1556m 50s (- 1445m 31s) completed: 51%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0482  acc: 0.6004  lr: 0.0000 
ep/it:777- 358 niter:297950  1557m 4s (- 1445m 14s) completed: 51%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0462  acc: 0.5987  lr: 0.0000 
Validation loss:1.549, accuracy:0.573
ep/it:778-  25 niter:298000  1557m 21s (- 1445m 0s) completed: 51%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0463  acc: 0.6004  lr: 0.0000 
ep/it:778-  75 niter:298050  1557m 36s (- 1444m 43s) completed: 51%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0469  acc: 0.6007  lr: 0.0000 
ep/it:778- 125 niter:298100  1557m 50s (- 1444m 26s) completed: 51%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0483  acc: 0.5992  lr: 0.0000 
ep/it:778- 175 niter:298150  1558m 4s (- 1444m 9s) completed: 51%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0475  acc: 0.5973  lr: 0.0000 
ep/it:778- 225 niter:298200  1558m 18s (- 1443m 52s) completed: 51%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0462  acc: 0.5935  lr: 0.0000 
ep/it:778- 275 niter:298250  1558m 33s (- 1443m 35s) completed: 51%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0485  acc: 0.5936  lr: 0.0000 
ep/it:778- 325 niter:298300  1558m 48s (- 1443m 18s) completed: 51%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0481  acc: 0.5981  lr: 0.0000 
ep/it:778- 375 niter:298350  1559m 2s (- 1443m 2s) completed: 51%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0468  acc: 0.6006  lr: 0.0000 
Validation loss:1.541, accuracy:0.575
ep/it:779-  42 niter:298400  1559m 19s (- 1442m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0472  acc: 0.6021  lr: 0.0000 
ep/it:779-  92 niter:298450  1559m 34s (- 1442m 31s) completed: 51%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0464  acc: 0.6011  lr: 0.0000 
ep/it:779- 142 niter:298500  1559m 48s (- 1442m 14s) completed: 51%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0459  acc: 0.6046  lr: 0.0000 
ep/it:779- 192 niter:298550  1560m 3s (- 1441m 57s) completed: 51%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0468  acc: 0.5950  lr: 0.0000 
ep/it:779- 242 niter:298600  1560m 17s (- 1441m 40s) completed: 51%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0480  acc: 0.5967  lr: 0.0000 
ep/it:779- 292 niter:298650  1560m 31s (- 1441m 23s) completed: 51%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0460  acc: 0.6031  lr: 0.0000 
ep/it:779- 342 niter:298700  1560m 45s (- 1441m 6s) completed: 51%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0458  acc: 0.6022  lr: 0.0000 
Validation loss:1.552, accuracy:0.573

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.58it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.04242214933038 avg: 39.04242214933038
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.80079259444028 avg: 38.92160737188533
--> 	 Eva. Repeat 0 :, FID. 0.0788, Diversity Real. 9.1084, Diversity. 9.3659, R_precision_real. [0.50976562 0.70507812 0.7890625 ], R_precision. [0.49902344 0.6875     0.77148438], matching_score_real. 2.9717, matching_score_pred. 3.0859, skate_ratio. 0.0491, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0459 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0099 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0269 
ep/it:780-   9 niter:298750  1562m 22s (- 1442m 5s) completed: 52%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0471  acc: 0.5946  lr: 0.0000 
ep/it:780-  59 niter:298800  1562m 36s (- 1441m 48s) completed: 52%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0469  acc: 0.6002  lr: 0.0000 
ep/it:780- 109 niter:298850  1562m 51s (- 1441m 31s) completed: 52%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0468  acc: 0.5886  lr: 0.0000 
ep/it:780- 159 niter:298900  1563m 6s (- 1441m 15s) completed: 52%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0464  acc: 0.6031  lr: 0.0000 
ep/it:780- 209 niter:298950  1563m 20s (- 1440m 58s) completed: 52%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0462  acc: 0.5923  lr: 0.0000 
ep/it:780- 259 niter:299000  1563m 35s (- 1440m 41s) completed: 52%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0475  acc: 0.5940  lr: 0.0000 
ep/it:780- 309 niter:299050  1563m 49s (- 1440m 25s) completed: 52%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0481  acc: 0.6010  lr: 0.0000 
ep/it:780- 359 niter:299100  1564m 4s (- 1440m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0468  acc: 0.6015  lr: 0.0000 
Validation loss:1.618, accuracy:0.557
ep/it:781-  26 niter:299150  1564m 21s (- 1439m 53s) completed: 52%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0475  acc: 0.5942  lr: 0.0000 
ep/it:781-  76 niter:299200  1564m 36s (- 1439m 37s) completed: 52%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0466  acc: 0.6039  lr: 0.0000 
ep/it:781- 126 niter:299250  1564m 50s (- 1439m 20s) completed: 52%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0489  acc: 0.5956  lr: 0.0000 
ep/it:781- 176 niter:299300  1565m 4s (- 1439m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0470  acc: 0.5924  lr: 0.0000 
ep/it:781- 226 niter:299350  1565m 19s (- 1438m 46s) completed: 52%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0468  acc: 0.6028  lr: 0.0000 
ep/it:781- 276 niter:299400  1565m 33s (- 1438m 29s) completed: 52%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0486  acc: 0.6007  lr: 0.0000 
ep/it:781- 326 niter:299450  1565m 47s (- 1438m 12s) completed: 52%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0481  acc: 0.6008  lr: 0.0000 
ep/it:781- 376 niter:299500  1566m 2s (- 1437m 55s) completed: 52%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0466  acc: 0.6039  lr: 0.0000 
Validation loss:1.557, accuracy:0.574
ep/it:782-  43 niter:299550  1566m 19s (- 1437m 41s) completed: 52%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0474  acc: 0.5992  lr: 0.0000 
ep/it:782-  93 niter:299600  1566m 34s (- 1437m 25s) completed: 52%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0479  acc: 0.6026  lr: 0.0000 
ep/it:782- 143 niter:299650  1566m 49s (- 1437m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0461  acc: 0.5985  lr: 0.0000 
ep/it:782- 193 niter:299700  1567m 4s (- 1436m 52s) completed: 52%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0454  acc: 0.5993  lr: 0.0000 
ep/it:782- 243 niter:299750  1567m 18s (- 1436m 35s) completed: 52%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0467  acc: 0.6003  lr: 0.0000 
ep/it:782- 293 niter:299800  1567m 33s (- 1436m 18s) completed: 52%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0477  acc: 0.6007  lr: 0.0000 
ep/it:782- 343 niter:299850  1567m 47s (- 1436m 1s) completed: 52%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0474  acc: 0.5969  lr: 0.0000 
Validation loss:1.645, accuracy:0.550
ep/it:783-  10 niter:299900  1568m 4s (- 1435m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0460  acc: 0.6011  lr: 0.0000 
ep/it:783-  60 niter:299950  1568m 18s (- 1435m 30s) completed: 52%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0473  acc: 0.6020  lr: 0.0000 
ep/it:783- 110 niter:300000  1568m 33s (- 1435m 14s) completed: 52%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0469  acc: 0.5963  lr: 0.0000 
ep/it:783- 160 niter:300050  1568m 48s (- 1434m 57s) completed: 52%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0470  acc: 0.5950  lr: 0.0000 
ep/it:783- 210 niter:300100  1569m 2s (- 1434m 40s) completed: 52%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0464  acc: 0.5957  lr: 0.0000 
ep/it:783- 260 niter:300150  1569m 18s (- 1434m 24s) completed: 52%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0477  acc: 0.6045  lr: 0.0000 
ep/it:783- 310 niter:300200  1569m 32s (- 1434m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0483  acc: 0.6040  lr: 0.0000 
ep/it:783- 360 niter:300250  1569m 46s (- 1433m 50s) completed: 52%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0455  acc: 0.5997  lr: 0.0000 
Validation loss:1.523, accuracy:0.581
ep/it:784-  27 niter:300300  1570m 3s (- 1433m 36s) completed: 52%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0447  acc: 0.5998  lr: 0.0000 
ep/it:784-  77 niter:300350  1570m 17s (- 1433m 19s) completed: 52%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0467  acc: 0.6029  lr: 0.0000 
ep/it:784- 127 niter:300400  1570m 31s (- 1433m 1s) completed: 52%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0478  acc: 0.6011  lr: 0.0000 
ep/it:784- 177 niter:300450  1570m 46s (- 1432m 44s) completed: 52%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0478  acc: 0.6018  lr: 0.0000 
ep/it:784- 227 niter:300500  1571m 0s (- 1432m 28s) completed: 52%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0465  acc: 0.5981  lr: 0.0000 
ep/it:784- 277 niter:300550  1571m 15s (- 1432m 11s) completed: 52%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0474  acc: 0.5953  lr: 0.0000 
ep/it:784- 327 niter:300600  1571m 30s (- 1431m 54s) completed: 52%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0442  acc: 0.6037  lr: 0.0000 
ep/it:784- 377 niter:300650  1571m 44s (- 1431m 38s) completed: 52%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0465  acc: 0.5971  lr: 0.0000 
Validation loss:1.587, accuracy:0.564
ep/it:785-  44 niter:300700  1572m 1s (- 1431m 23s) completed: 52%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0471  acc: 0.6007  lr: 0.0000 
ep/it:785-  94 niter:300750  1572m 15s (- 1431m 6s) completed: 52%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0469  acc: 0.6064  lr: 0.0000 
ep/it:785- 144 niter:300800  1572m 30s (- 1430m 50s) completed: 52%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0461  acc: 0.6051  lr: 0.0000 
ep/it:785- 194 niter:300850  1572m 45s (- 1430m 33s) completed: 52%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0471  acc: 0.6035  lr: 0.0000 
ep/it:785- 244 niter:300900  1572m 59s (- 1430m 16s) completed: 52%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0457  acc: 0.6038  lr: 0.0000 
ep/it:785- 294 niter:300950  1573m 14s (- 1430m 0s) completed: 52%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0459  acc: 0.5993  lr: 0.0000 
ep/it:785- 344 niter:301000  1573m 28s (- 1429m 43s) completed: 52%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0473  acc: 0.5988  lr: 0.0000 
Validation loss:1.608, accuracy:0.560
ep/it:786-  11 niter:301050  1573m 46s (- 1429m 29s) completed: 52%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0465  acc: 0.6054  lr: 0.0000 
ep/it:786-  61 niter:301100  1574m 0s (- 1429m 12s) completed: 52%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0481  acc: 0.5969  lr: 0.0000 
ep/it:786- 111 niter:301150  1574m 15s (- 1428m 55s) completed: 52%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0481  acc: 0.6014  lr: 0.0000 
ep/it:786- 161 niter:301200  1574m 29s (- 1428m 38s) completed: 52%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0473  acc: 0.6062  lr: 0.0000 
ep/it:786- 211 niter:301250  1574m 43s (- 1428m 21s) completed: 52%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0471  acc: 0.5959  lr: 0.0000 
ep/it:786- 261 niter:301300  1574m 58s (- 1428m 5s) completed: 52%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0458  acc: 0.5939  lr: 0.0000 
ep/it:786- 311 niter:301350  1575m 12s (- 1427m 48s) completed: 52%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0484  acc: 0.5931  lr: 0.0000 
ep/it:786- 361 niter:301400  1575m 27s (- 1427m 31s) completed: 52%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0479  acc: 0.5939  lr: 0.0000 
Validation loss:1.549, accuracy:0.575
ep/it:787-  28 niter:301450  1575m 44s (- 1427m 17s) completed: 52%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0481  acc: 0.6043  lr: 0.0000 
ep/it:787-  78 niter:301500  1575m 58s (- 1427m 0s) completed: 52%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0485  acc: 0.5967  lr: 0.0000 
ep/it:787- 128 niter:301550  1576m 13s (- 1426m 43s) completed: 52%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0459  acc: 0.6043  lr: 0.0000 
ep/it:787- 178 niter:301600  1576m 27s (- 1426m 26s) completed: 52%) loss_emb: 0.0000  loss: 1.3573  loss_TTT: 0.0452  acc: 0.6061  lr: 0.0000 
ep/it:787- 228 niter:301650  1576m 42s (- 1426m 10s) completed: 52%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0486  acc: 0.5865  lr: 0.0000 
ep/it:787- 278 niter:301700  1576m 57s (- 1425m 53s) completed: 52%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0483  acc: 0.6003  lr: 0.0000 
ep/it:787- 328 niter:301750  1577m 11s (- 1425m 36s) completed: 52%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0473  acc: 0.6026  lr: 0.0000 
ep/it:787- 378 niter:301800  1577m 25s (- 1425m 19s) completed: 52%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0463  acc: 0.5931  lr: 0.0000 
Validation loss:1.596, accuracy:0.563
ep/it:788-  45 niter:301850  1577m 41s (- 1425m 4s) completed: 52%) loss_emb: 0.0000  loss: 1.3710  loss_TTT: 0.0468  acc: 0.6017  lr: 0.0000 
ep/it:788-  95 niter:301900  1577m 55s (- 1424m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0469  acc: 0.5993  lr: 0.0000 
ep/it:788- 145 niter:301950  1578m 9s (- 1424m 30s) completed: 52%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0475  acc: 0.5967  lr: 0.0000 
ep/it:788- 195 niter:302000  1578m 23s (- 1424m 12s) completed: 52%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0471  acc: 0.6019  lr: 0.0000 
ep/it:788- 245 niter:302050  1578m 38s (- 1423m 56s) completed: 52%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0472  acc: 0.5950  lr: 0.0000 
ep/it:788- 295 niter:302100  1578m 52s (- 1423m 39s) completed: 52%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0465  acc: 0.6016  lr: 0.0000 
ep/it:788- 345 niter:302150  1579m 6s (- 1423m 22s) completed: 52%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0488  acc: 0.5975  lr: 0.0000 
Validation loss:1.609, accuracy:0.562
ep/it:789-  12 niter:302200  1579m 23s (- 1423m 7s) completed: 52%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0481  acc: 0.5946  lr: 0.0000 
ep/it:789-  62 niter:302250  1579m 38s (- 1422m 51s) completed: 52%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0475  acc: 0.6059  lr: 0.0000 
ep/it:789- 112 niter:302300  1579m 52s (- 1422m 34s) completed: 52%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0466  acc: 0.5982  lr: 0.0000 
ep/it:789- 162 niter:302350  1580m 7s (- 1422m 17s) completed: 52%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0466  acc: 0.5995  lr: 0.0000 
ep/it:789- 212 niter:302400  1580m 21s (- 1422m 0s) completed: 52%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0478  acc: 0.5971  lr: 0.0000 
ep/it:789- 262 niter:302450  1580m 35s (- 1421m 43s) completed: 52%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0481  acc: 0.6014  lr: 0.0000 
ep/it:789- 312 niter:302500  1580m 50s (- 1421m 26s) completed: 52%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0451  acc: 0.5989  lr: 0.0000 
ep/it:789- 362 niter:302550  1581m 5s (- 1421m 10s) completed: 52%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0481  acc: 0.5981  lr: 0.0000 
Validation loss:1.574, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.77it/s]
 34%|███▍      | 16/47 [00:40<01:19,  2.57s/it]
 68%|██████▊   | 32/47 [01:19<00:37,  2.48s/it]
100%|██████████| 47/47 [01:19<00:00,  1.69s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.80622686073184 avg: 39.80622686073184
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.654396288096905 avg: 39.23031157441437
--> 	 Eva. Repeat 0 :, FID. 0.0916, Diversity Real. 9.7341, Diversity. 9.5660, R_precision_real. [0.51855469 0.69726562 0.78613281], R_precision. [0.51171875 0.703125   0.80371094], matching_score_real. 2.9427, matching_score_pred. 2.9480, skate_ratio. 0.0534, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0102 (kps_fail_50cm (Loc. err)): 0.0011 (kps_mean_err(m) (Avg. err)): 0.0275 
ep/it:790-  29 niter:302600  1582m 41s (- 1422m 7s) completed: 52%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0480  acc: 0.5994  lr: 0.0000 
ep/it:790-  79 niter:302650  1582m 55s (- 1421m 50s) completed: 52%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0470  acc: 0.6083  lr: 0.0000 
ep/it:790- 129 niter:302700  1583m 10s (- 1421m 33s) completed: 52%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0464  acc: 0.5971  lr: 0.0000 
ep/it:790- 179 niter:302750  1583m 24s (- 1421m 16s) completed: 52%) loss_emb: 0.0000  loss: 1.3534  loss_TTT: 0.0464  acc: 0.6073  lr: 0.0000 
ep/it:790- 229 niter:302800  1583m 38s (- 1420m 59s) completed: 52%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0464  acc: 0.5993  lr: 0.0000 
ep/it:790- 279 niter:302850  1583m 52s (- 1420m 42s) completed: 52%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0467  acc: 0.5985  lr: 0.0000 
ep/it:790- 329 niter:302900  1584m 6s (- 1420m 25s) completed: 52%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0477  acc: 0.6045  lr: 0.0000 
ep/it:790- 379 niter:302950  1584m 21s (- 1420m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0469  acc: 0.6053  lr: 0.0000 
Validation loss:1.559, accuracy:0.571
ep/it:791-  46 niter:303000  1584m 38s (- 1419m 53s) completed: 52%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0458  acc: 0.5967  lr: 0.0000 
ep/it:791-  96 niter:303050  1584m 53s (- 1419m 37s) completed: 52%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0461  acc: 0.5915  lr: 0.0000 
ep/it:791- 146 niter:303100  1585m 7s (- 1419m 20s) completed: 52%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0474  acc: 0.6013  lr: 0.0000 
ep/it:791- 196 niter:303150  1585m 22s (- 1419m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0464  acc: 0.5944  lr: 0.0000 
ep/it:791- 246 niter:303200  1585m 36s (- 1418m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0467  acc: 0.5917  lr: 0.0000 
ep/it:791- 296 niter:303250  1585m 51s (- 1418m 30s) completed: 52%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0456  acc: 0.5971  lr: 0.0000 
ep/it:791- 346 niter:303300  1586m 5s (- 1418m 13s) completed: 52%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0491  acc: 0.5997  lr: 0.0000 
Validation loss:1.562, accuracy:0.570
ep/it:792-  13 niter:303350  1586m 22s (- 1417m 59s) completed: 52%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0456  acc: 0.5975  lr: 0.0000 
ep/it:792-  63 niter:303400  1586m 37s (- 1417m 42s) completed: 52%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0484  acc: 0.5977  lr: 0.0000 
ep/it:792- 113 niter:303450  1586m 52s (- 1417m 26s) completed: 52%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0446  acc: 0.6026  lr: 0.0000 
ep/it:792- 163 niter:303500  1587m 6s (- 1417m 9s) completed: 52%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0473  acc: 0.5957  lr: 0.0000 
ep/it:792- 213 niter:303550  1587m 21s (- 1416m 53s) completed: 52%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0464  acc: 0.6029  lr: 0.0000 
ep/it:792- 263 niter:303600  1587m 36s (- 1416m 36s) completed: 52%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0484  acc: 0.5922  lr: 0.0000 
ep/it:792- 313 niter:303650  1587m 51s (- 1416m 20s) completed: 52%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0449  acc: 0.6049  lr: 0.0000 
ep/it:792- 363 niter:303700  1588m 5s (- 1416m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0466  acc: 0.6008  lr: 0.0000 
Validation loss:1.621, accuracy:0.557
ep/it:793-  30 niter:303750  1588m 22s (- 1415m 48s) completed: 52%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0465  acc: 0.6035  lr: 0.0000 
ep/it:793-  80 niter:303800  1588m 37s (- 1415m 32s) completed: 52%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0477  acc: 0.5929  lr: 0.0000 
ep/it:793- 130 niter:303850  1588m 51s (- 1415m 14s) completed: 52%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0469  acc: 0.5945  lr: 0.0000 
ep/it:793- 180 niter:303900  1589m 5s (- 1414m 58s) completed: 52%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0454  acc: 0.6046  lr: 0.0000 
ep/it:793- 230 niter:303950  1589m 20s (- 1414m 41s) completed: 52%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0490  acc: 0.5944  lr: 0.0000 
ep/it:793- 280 niter:304000  1589m 34s (- 1414m 24s) completed: 52%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0463  acc: 0.6021  lr: 0.0000 
ep/it:793- 330 niter:304050  1589m 49s (- 1414m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0500  acc: 0.5994  lr: 0.0000 
ep/it:793- 380 niter:304100  1590m 4s (- 1413m 51s) completed: 52%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0459  acc: 0.6005  lr: 0.0000 
Validation loss:1.505, accuracy:0.585
ep/it:794-  47 niter:304150  1590m 21s (- 1413m 37s) completed: 52%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0492  acc: 0.6038  lr: 0.0000 
ep/it:794-  97 niter:304200  1590m 36s (- 1413m 20s) completed: 52%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0489  acc: 0.5932  lr: 0.0000 
ep/it:794- 147 niter:304250  1590m 50s (- 1413m 4s) completed: 52%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0464  acc: 0.6068  lr: 0.0000 
ep/it:794- 197 niter:304300  1591m 4s (- 1412m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0469  acc: 0.5979  lr: 0.0000 
ep/it:794- 247 niter:304350  1591m 19s (- 1412m 30s) completed: 52%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0445  acc: 0.6015  lr: 0.0000 
ep/it:794- 297 niter:304400  1591m 33s (- 1412m 13s) completed: 52%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0477  acc: 0.5967  lr: 0.0000 
ep/it:794- 347 niter:304450  1591m 48s (- 1411m 56s) completed: 52%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0470  acc: 0.5946  lr: 0.0000 
Validation loss:1.572, accuracy:0.570
ep/it:795-  14 niter:304500  1592m 5s (- 1411m 42s) completed: 53%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0469  acc: 0.5978  lr: 0.0000 
ep/it:795-  64 niter:304550  1592m 20s (- 1411m 25s) completed: 53%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0470  acc: 0.5977  lr: 0.0000 
ep/it:795- 114 niter:304600  1592m 34s (- 1411m 8s) completed: 53%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0462  acc: 0.5999  lr: 0.0000 
ep/it:795- 164 niter:304650  1592m 48s (- 1410m 52s) completed: 53%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0467  acc: 0.6015  lr: 0.0000 
ep/it:795- 214 niter:304700  1593m 3s (- 1410m 35s) completed: 53%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0489  acc: 0.6058  lr: 0.0000 
ep/it:795- 264 niter:304750  1593m 18s (- 1410m 18s) completed: 53%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0463  acc: 0.5989  lr: 0.0000 
ep/it:795- 314 niter:304800  1593m 32s (- 1410m 1s) completed: 53%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0473  acc: 0.5931  lr: 0.0000 
ep/it:795- 364 niter:304850  1593m 46s (- 1409m 45s) completed: 53%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0473  acc: 0.6037  lr: 0.0000 
Validation loss:1.596, accuracy:0.560
ep/it:796-  31 niter:304900  1594m 4s (- 1409m 31s) completed: 53%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0475  acc: 0.6101  lr: 0.0000 
ep/it:796-  81 niter:304950  1594m 18s (- 1409m 14s) completed: 53%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0485  acc: 0.6025  lr: 0.0000 
ep/it:796- 131 niter:305000  1594m 32s (- 1408m 57s) completed: 53%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0465  acc: 0.5988  lr: 0.0000 
ep/it:796- 181 niter:305050  1594m 47s (- 1408m 40s) completed: 53%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0476  acc: 0.5978  lr: 0.0000 
ep/it:796- 231 niter:305100  1595m 1s (- 1408m 23s) completed: 53%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0458  acc: 0.6044  lr: 0.0000 
ep/it:796- 281 niter:305150  1595m 16s (- 1408m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0468  acc: 0.5975  lr: 0.0000 
ep/it:796- 331 niter:305200  1595m 30s (- 1407m 50s) completed: 53%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0476  acc: 0.5975  lr: 0.0000 
ep/it:796- 381 niter:305250  1595m 44s (- 1407m 32s) completed: 53%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0471  acc: 0.5984  lr: 0.0000 
Validation loss:1.553, accuracy:0.574
ep/it:797-  48 niter:305300  1596m 1s (- 1407m 18s) completed: 53%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0458  acc: 0.6035  lr: 0.0000 
ep/it:797-  98 niter:305350  1596m 16s (- 1407m 1s) completed: 53%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0477  acc: 0.5963  lr: 0.0000 
ep/it:797- 148 niter:305400  1596m 30s (- 1406m 44s) completed: 53%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0459  acc: 0.6013  lr: 0.0000 
ep/it:797- 198 niter:305450  1596m 44s (- 1406m 28s) completed: 53%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0464  acc: 0.5958  lr: 0.0000 
ep/it:797- 248 niter:305500  1596m 59s (- 1406m 11s) completed: 53%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0467  acc: 0.5958  lr: 0.0000 
ep/it:797- 298 niter:305550  1597m 13s (- 1405m 54s) completed: 53%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0482  acc: 0.5995  lr: 0.0000 
ep/it:797- 348 niter:305600  1597m 28s (- 1405m 37s) completed: 53%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0470  acc: 0.5998  lr: 0.0000 
Validation loss:1.611, accuracy:0.560
ep/it:798-  15 niter:305650  1597m 45s (- 1405m 23s) completed: 53%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0474  acc: 0.6033  lr: 0.0000 
ep/it:798-  65 niter:305700  1597m 59s (- 1405m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0475  acc: 0.5947  lr: 0.0000 
ep/it:798- 115 niter:305750  1598m 13s (- 1404m 49s) completed: 53%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0459  acc: 0.6029  lr: 0.0000 
ep/it:798- 165 niter:305800  1598m 28s (- 1404m 32s) completed: 53%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0474  acc: 0.5988  lr: 0.0000 
ep/it:798- 215 niter:305850  1598m 42s (- 1404m 15s) completed: 53%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0466  acc: 0.5927  lr: 0.0000 
ep/it:798- 265 niter:305900  1598m 56s (- 1403m 58s) completed: 53%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0475  acc: 0.6028  lr: 0.0000 
ep/it:798- 315 niter:305950  1599m 10s (- 1403m 41s) completed: 53%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0462  acc: 0.5998  lr: 0.0000 
ep/it:798- 365 niter:306000  1599m 24s (- 1403m 24s) completed: 53%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0481  acc: 0.6014  lr: 0.0000 
Validation loss:1.580, accuracy:0.566
ep/it:799-  32 niter:306050  1599m 41s (- 1403m 9s) completed: 53%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0472  acc: 0.5978  lr: 0.0000 
ep/it:799-  82 niter:306100  1599m 56s (- 1402m 52s) completed: 53%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0470  acc: 0.5964  lr: 0.0000 
ep/it:799- 132 niter:306150  1600m 10s (- 1402m 36s) completed: 53%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0455  acc: 0.6007  lr: 0.0000 
ep/it:799- 182 niter:306200  1600m 24s (- 1402m 19s) completed: 53%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0466  acc: 0.6018  lr: 0.0000 
ep/it:799- 232 niter:306250  1600m 38s (- 1402m 2s) completed: 53%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0505  acc: 0.6014  lr: 0.0000 
ep/it:799- 282 niter:306300  1600m 53s (- 1401m 45s) completed: 53%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0469  acc: 0.5995  lr: 0.0000 
ep/it:799- 332 niter:306350  1601m 7s (- 1401m 28s) completed: 53%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0475  acc: 0.6060  lr: 0.0000 
ep/it:799- 382 niter:306400  1601m 22s (- 1401m 11s) completed: 53%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0474  acc: 0.6007  lr: 0.0000 
Validation loss:1.611, accuracy:0.559

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.66it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.93167218007147 avg: 38.93167218007147
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.46411061938852 avg: 38.69789139973
--> 	 Eva. Repeat 0 :, FID. 0.0779, Diversity Real. 9.4481, Diversity. 9.1796, R_precision_real. [0.52734375 0.71289062 0.80273438], R_precision. [0.51074219 0.70214844 0.79394531], matching_score_real. 2.8109, matching_score_pred. 2.8858, skate_ratio. 0.0503, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0605 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0140 (kps_fail_50cm (Loc. err)): 0.0024 (kps_mean_err(m) (Avg. err)): 0.0296 
ep/it:800-  49 niter:306450  1602m 58s (- 1402m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0483  acc: 0.5952  lr: 0.0000 
ep/it:800-  99 niter:306500  1603m 12s (- 1401m 49s) completed: 53%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0469  acc: 0.6013  lr: 0.0000 
ep/it:800- 149 niter:306550  1603m 26s (- 1401m 32s) completed: 53%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0468  acc: 0.6007  lr: 0.0000 
ep/it:800- 199 niter:306600  1603m 41s (- 1401m 16s) completed: 53%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0462  acc: 0.5972  lr: 0.0000 
ep/it:800- 249 niter:306650  1603m 55s (- 1400m 59s) completed: 53%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0469  acc: 0.5946  lr: 0.0000 
ep/it:800- 299 niter:306700  1604m 10s (- 1400m 42s) completed: 53%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0467  acc: 0.6025  lr: 0.0000 
ep/it:800- 349 niter:306750  1604m 24s (- 1400m 25s) completed: 53%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0455  acc: 0.6019  lr: 0.0000 
Validation loss:1.582, accuracy:0.565
ep/it:801-  16 niter:306800  1604m 41s (- 1400m 10s) completed: 53%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0463  acc: 0.5962  lr: 0.0000 
ep/it:801-  66 niter:306850  1604m 55s (- 1399m 53s) completed: 53%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0455  acc: 0.6014  lr: 0.0000 
ep/it:801- 116 niter:306900  1605m 9s (- 1399m 36s) completed: 53%) loss_emb: 0.0000  loss: 1.3710  loss_TTT: 0.0468  acc: 0.6029  lr: 0.0000 
ep/it:801- 166 niter:306950  1605m 23s (- 1399m 19s) completed: 53%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0459  acc: 0.5950  lr: 0.0000 
ep/it:801- 216 niter:307000  1605m 37s (- 1399m 2s) completed: 53%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0485  acc: 0.6028  lr: 0.0000 
ep/it:801- 266 niter:307050  1605m 52s (- 1398m 45s) completed: 53%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0478  acc: 0.5978  lr: 0.0000 
ep/it:801- 316 niter:307100  1606m 6s (- 1398m 29s) completed: 53%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0473  acc: 0.6027  lr: 0.0000 
ep/it:801- 366 niter:307150  1606m 20s (- 1398m 11s) completed: 53%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0485  acc: 0.6001  lr: 0.0000 
Validation loss:1.604, accuracy:0.559
ep/it:802-  33 niter:307200  1606m 37s (- 1397m 57s) completed: 53%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0475  acc: 0.5964  lr: 0.0000 
ep/it:802-  83 niter:307250  1606m 52s (- 1397m 40s) completed: 53%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0467  acc: 0.5994  lr: 0.0000 
ep/it:802- 133 niter:307300  1607m 6s (- 1397m 23s) completed: 53%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0472  acc: 0.6026  lr: 0.0000 
ep/it:802- 183 niter:307350  1607m 20s (- 1397m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0481  acc: 0.5956  lr: 0.0000 
ep/it:802- 233 niter:307400  1607m 34s (- 1396m 49s) completed: 53%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0472  acc: 0.6039  lr: 0.0000 
ep/it:802- 283 niter:307450  1607m 48s (- 1396m 32s) completed: 53%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0470  acc: 0.6014  lr: 0.0000 
ep/it:802- 333 niter:307500  1608m 2s (- 1396m 15s) completed: 53%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0470  acc: 0.5980  lr: 0.0000 
Validation loss:1.581, accuracy:0.569
ep/it:803-   0 niter:307550  1608m 19s (- 1396m 0s) completed: 53%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0461  acc: 0.6014  lr: 0.0000 
ep/it:803-  50 niter:307600  1608m 33s (- 1395m 43s) completed: 53%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0457  acc: 0.6014  lr: 0.0000 
ep/it:803- 100 niter:307650  1608m 47s (- 1395m 26s) completed: 53%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0479  acc: 0.5963  lr: 0.0000 
ep/it:803- 150 niter:307700  1609m 1s (- 1395m 9s) completed: 53%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0479  acc: 0.6015  lr: 0.0000 
ep/it:803- 200 niter:307750  1609m 15s (- 1394m 52s) completed: 53%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0464  acc: 0.6069  lr: 0.0000 
ep/it:803- 250 niter:307800  1609m 29s (- 1394m 34s) completed: 53%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0459  acc: 0.5998  lr: 0.0000 
ep/it:803- 300 niter:307850  1609m 44s (- 1394m 18s) completed: 53%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0454  acc: 0.6038  lr: 0.0000 
ep/it:803- 350 niter:307900  1609m 58s (- 1394m 1s) completed: 53%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0491  acc: 0.5980  lr: 0.0000 
Validation loss:1.582, accuracy:0.567
ep/it:804-  17 niter:307950  1610m 14s (- 1393m 46s) completed: 53%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0473  acc: 0.5952  lr: 0.0000 
ep/it:804-  67 niter:308000  1610m 29s (- 1393m 29s) completed: 53%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0460  acc: 0.5946  lr: 0.0000 
ep/it:804- 117 niter:308050  1610m 43s (- 1393m 12s) completed: 53%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0471  acc: 0.6041  lr: 0.0000 
ep/it:804- 167 niter:308100  1610m 57s (- 1392m 55s) completed: 53%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0475  acc: 0.5992  lr: 0.0000 
ep/it:804- 217 niter:308150  1611m 11s (- 1392m 37s) completed: 53%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0459  acc: 0.5910  lr: 0.0000 
ep/it:804- 267 niter:308200  1611m 25s (- 1392m 20s) completed: 53%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0479  acc: 0.5952  lr: 0.0000 
ep/it:804- 317 niter:308250  1611m 39s (- 1392m 3s) completed: 53%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0455  acc: 0.6026  lr: 0.0000 
ep/it:804- 367 niter:308300  1611m 53s (- 1391m 46s) completed: 53%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0468  acc: 0.6004  lr: 0.0000 
Validation loss:1.601, accuracy:0.563
ep/it:805-  34 niter:308350  1612m 10s (- 1391m 32s) completed: 53%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0478  acc: 0.5986  lr: 0.0000 
ep/it:805-  84 niter:308400  1612m 24s (- 1391m 15s) completed: 53%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0472  acc: 0.6029  lr: 0.0000 
ep/it:805- 134 niter:308450  1612m 39s (- 1390m 58s) completed: 53%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0440  acc: 0.5995  lr: 0.0000 
ep/it:805- 184 niter:308500  1612m 53s (- 1390m 41s) completed: 53%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0475  acc: 0.5960  lr: 0.0000 
ep/it:805- 234 niter:308550  1613m 8s (- 1390m 25s) completed: 53%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0475  acc: 0.5981  lr: 0.0000 
ep/it:805- 284 niter:308600  1613m 22s (- 1390m 8s) completed: 53%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0468  acc: 0.6025  lr: 0.0000 
ep/it:805- 334 niter:308650  1613m 37s (- 1389m 51s) completed: 53%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0469  acc: 0.6006  lr: 0.0000 
Validation loss:1.600, accuracy:0.562
ep/it:806-   1 niter:308700  1613m 53s (- 1389m 36s) completed: 53%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0468  acc: 0.6054  lr: 0.0000 
ep/it:806-  51 niter:308750  1614m 8s (- 1389m 19s) completed: 53%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0443  acc: 0.6034  lr: 0.0000 
ep/it:806- 101 niter:308800  1614m 22s (- 1389m 3s) completed: 53%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0477  acc: 0.5943  lr: 0.0000 
ep/it:806- 151 niter:308850  1614m 37s (- 1388m 46s) completed: 53%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0483  acc: 0.6036  lr: 0.0000 
ep/it:806- 201 niter:308900  1614m 51s (- 1388m 29s) completed: 53%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0445  acc: 0.6008  lr: 0.0000 
ep/it:806- 251 niter:308950  1615m 5s (- 1388m 13s) completed: 53%) loss_emb: 0.0000  loss: 1.4073  loss_TTT: 0.0493  acc: 0.5939  lr: 0.0000 
ep/it:806- 301 niter:309000  1615m 20s (- 1387m 55s) completed: 53%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0470  acc: 0.6014  lr: 0.0000 
ep/it:806- 351 niter:309050  1615m 34s (- 1387m 39s) completed: 53%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0458  acc: 0.6012  lr: 0.0000 
Validation loss:1.542, accuracy:0.576
ep/it:807-  18 niter:309100  1615m 51s (- 1387m 24s) completed: 53%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0476  acc: 0.5972  lr: 0.0000 
ep/it:807-  68 niter:309150  1616m 6s (- 1387m 8s) completed: 53%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0477  acc: 0.5971  lr: 0.0000 
ep/it:807- 118 niter:309200  1616m 20s (- 1386m 50s) completed: 53%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0465  acc: 0.6041  lr: 0.0000 
ep/it:807- 168 niter:309250  1616m 34s (- 1386m 34s) completed: 53%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0454  acc: 0.6002  lr: 0.0000 
ep/it:807- 218 niter:309300  1616m 49s (- 1386m 17s) completed: 53%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0458  acc: 0.6029  lr: 0.0000 
ep/it:807- 268 niter:309350  1617m 3s (- 1386m 0s) completed: 53%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0462  acc: 0.6007  lr: 0.0000 
ep/it:807- 318 niter:309400  1617m 17s (- 1385m 43s) completed: 53%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0471  acc: 0.5965  lr: 0.0000 
ep/it:807- 368 niter:309450  1617m 32s (- 1385m 27s) completed: 53%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0471  acc: 0.6009  lr: 0.0000 
Validation loss:1.570, accuracy:0.568
ep/it:808-  35 niter:309500  1617m 49s (- 1385m 13s) completed: 53%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0465  acc: 0.5974  lr: 0.0000 
ep/it:808-  85 niter:309550  1618m 4s (- 1384m 56s) completed: 53%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0467  acc: 0.5914  lr: 0.0000 
ep/it:808- 135 niter:309600  1618m 18s (- 1384m 39s) completed: 53%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0463  acc: 0.6017  lr: 0.0000 
ep/it:808- 185 niter:309650  1618m 33s (- 1384m 23s) completed: 53%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0472  acc: 0.5991  lr: 0.0000 
ep/it:808- 235 niter:309700  1618m 47s (- 1384m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0465  acc: 0.6014  lr: 0.0000 
ep/it:808- 285 niter:309750  1619m 2s (- 1383m 49s) completed: 53%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0476  acc: 0.6004  lr: 0.0000 
ep/it:808- 335 niter:309800  1619m 17s (- 1383m 33s) completed: 53%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0470  acc: 0.5979  lr: 0.0000 
Validation loss:1.565, accuracy:0.570
ep/it:809-   2 niter:309850  1619m 33s (- 1383m 18s) completed: 53%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0474  acc: 0.6070  lr: 0.0000 
ep/it:809-  52 niter:309900  1619m 48s (- 1383m 2s) completed: 53%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0480  acc: 0.5975  lr: 0.0000 
ep/it:809- 102 niter:309950  1620m 3s (- 1382m 45s) completed: 53%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0462  acc: 0.6011  lr: 0.0000 
ep/it:809- 152 niter:310000  1620m 18s (- 1382m 28s) completed: 53%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0455  acc: 0.6049  lr: 0.0000 
ep/it:809- 202 niter:310050  1620m 33s (- 1382m 12s) completed: 53%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0471  acc: 0.5943  lr: 0.0000 
ep/it:809- 252 niter:310100  1620m 47s (- 1381m 56s) completed: 53%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0455  acc: 0.5988  lr: 0.0000 
ep/it:809- 302 niter:310150  1621m 1s (- 1381m 39s) completed: 53%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0471  acc: 0.5951  lr: 0.0000 
ep/it:809- 352 niter:310200  1621m 16s (- 1381m 22s) completed: 53%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0460  acc: 0.6028  lr: 0.0000 
Validation loss:1.553, accuracy:0.574

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.75it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.441541112959385 avg: 38.441541112959385
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.71541978325695 avg: 38.57848044810817
--> 	 Eva. Repeat 0 :, FID. 0.0907, Diversity Real. 9.5462, Diversity. 9.8052, R_precision_real. [0.51660156 0.72167969 0.80957031], R_precision. [0.53320312 0.70898438 0.81054688], matching_score_real. 2.8781, matching_score_pred. 2.9215, skate_ratio. 0.0490, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0116 (kps_fail_50cm (Loc. err)): 0.0025 (kps_mean_err(m) (Avg. err)): 0.0289 
ep/it:810-  19 niter:310250  1622m 51s (- 1382m 14s) completed: 54%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0478  acc: 0.5942  lr: 0.0000 
ep/it:810-  69 niter:310300  1623m 6s (- 1381m 57s) completed: 54%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0460  acc: 0.5967  lr: 0.0000 
ep/it:810- 119 niter:310350  1623m 20s (- 1381m 41s) completed: 54%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0457  acc: 0.6010  lr: 0.0000 
ep/it:810- 169 niter:310400  1623m 35s (- 1381m 24s) completed: 54%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0476  acc: 0.6053  lr: 0.0000 
ep/it:810- 219 niter:310450  1623m 49s (- 1381m 7s) completed: 54%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0458  acc: 0.6002  lr: 0.0000 
ep/it:810- 269 niter:310500  1624m 4s (- 1380m 51s) completed: 54%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0453  acc: 0.5989  lr: 0.0000 
ep/it:810- 319 niter:310550  1624m 19s (- 1380m 35s) completed: 54%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0478  acc: 0.6031  lr: 0.0000 
ep/it:810- 369 niter:310600  1624m 34s (- 1380m 18s) completed: 54%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0466  acc: 0.6025  lr: 0.0000 
Validation loss:1.601, accuracy:0.562
ep/it:811-  36 niter:310650  1624m 51s (- 1380m 4s) completed: 54%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0469  acc: 0.5953  lr: 0.0000 
ep/it:811-  86 niter:310700  1625m 5s (- 1379m 47s) completed: 54%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0463  acc: 0.6014  lr: 0.0000 
ep/it:811- 136 niter:310750  1625m 20s (- 1379m 30s) completed: 54%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0467  acc: 0.6015  lr: 0.0000 
ep/it:811- 186 niter:310800  1625m 34s (- 1379m 13s) completed: 54%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0468  acc: 0.5977  lr: 0.0000 
ep/it:811- 236 niter:310850  1625m 49s (- 1378m 56s) completed: 54%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0468  acc: 0.5970  lr: 0.0000 
ep/it:811- 286 niter:310900  1626m 4s (- 1378m 40s) completed: 54%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0476  acc: 0.5982  lr: 0.0000 
ep/it:811- 336 niter:310950  1626m 18s (- 1378m 24s) completed: 54%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0463  acc: 0.6011  lr: 0.0000 
Validation loss:1.585, accuracy:0.565
ep/it:812-   3 niter:311000  1626m 35s (- 1378m 9s) completed: 54%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0458  acc: 0.6013  lr: 0.0000 
ep/it:812-  53 niter:311050  1626m 50s (- 1377m 53s) completed: 54%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0469  acc: 0.5950  lr: 0.0000 
ep/it:812- 103 niter:311100  1627m 4s (- 1377m 35s) completed: 54%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0477  acc: 0.6030  lr: 0.0000 
ep/it:812- 153 niter:311150  1627m 18s (- 1377m 18s) completed: 54%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0462  acc: 0.6012  lr: 0.0000 
ep/it:812- 203 niter:311200  1627m 32s (- 1377m 1s) completed: 54%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0460  acc: 0.5972  lr: 0.0000 
ep/it:812- 253 niter:311250  1627m 47s (- 1376m 45s) completed: 54%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0470  acc: 0.5980  lr: 0.0000 
ep/it:812- 303 niter:311300  1628m 1s (- 1376m 28s) completed: 54%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0464  acc: 0.5960  lr: 0.0000 
ep/it:812- 353 niter:311350  1628m 16s (- 1376m 11s) completed: 54%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0469  acc: 0.6032  lr: 0.0000 
Validation loss:1.635, accuracy:0.553
ep/it:813-  20 niter:311400  1628m 33s (- 1375m 57s) completed: 54%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0463  acc: 0.6023  lr: 0.0000 
ep/it:813-  70 niter:311450  1628m 47s (- 1375m 40s) completed: 54%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0468  acc: 0.5966  lr: 0.0000 
ep/it:813- 120 niter:311500  1629m 2s (- 1375m 23s) completed: 54%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0475  acc: 0.5947  lr: 0.0000 
ep/it:813- 170 niter:311550  1629m 17s (- 1375m 7s) completed: 54%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0478  acc: 0.5958  lr: 0.0000 
ep/it:813- 220 niter:311600  1629m 31s (- 1374m 50s) completed: 54%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0486  acc: 0.5969  lr: 0.0000 
ep/it:813- 270 niter:311650  1629m 45s (- 1374m 33s) completed: 54%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0471  acc: 0.6017  lr: 0.0000 
ep/it:813- 320 niter:311700  1630m 0s (- 1374m 17s) completed: 54%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0458  acc: 0.5986  lr: 0.0000 
ep/it:813- 370 niter:311750  1630m 14s (- 1374m 0s) completed: 54%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0482  acc: 0.6008  lr: 0.0000 
Validation loss:1.587, accuracy:0.565
ep/it:814-  37 niter:311800  1630m 31s (- 1373m 45s) completed: 54%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0469  acc: 0.5986  lr: 0.0000 
ep/it:814-  87 niter:311850  1630m 45s (- 1373m 28s) completed: 54%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0462  acc: 0.5991  lr: 0.0000 
ep/it:814- 137 niter:311900  1630m 59s (- 1373m 11s) completed: 54%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0466  acc: 0.5919  lr: 0.0000 
ep/it:814- 187 niter:311950  1631m 14s (- 1372m 55s) completed: 54%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0471  acc: 0.6008  lr: 0.0000 
ep/it:814- 237 niter:312000  1631m 28s (- 1372m 38s) completed: 54%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0470  acc: 0.5944  lr: 0.0000 
ep/it:814- 287 niter:312050  1631m 43s (- 1372m 22s) completed: 54%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0456  acc: 0.5953  lr: 0.0000 
ep/it:814- 337 niter:312100  1631m 57s (- 1372m 5s) completed: 54%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0473  acc: 0.6011  lr: 0.0000 
Validation loss:1.586, accuracy:0.563
ep/it:815-   4 niter:312150  1632m 14s (- 1371m 50s) completed: 54%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0465  acc: 0.5962  lr: 0.0000 
ep/it:815-  54 niter:312200  1632m 29s (- 1371m 33s) completed: 54%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0470  acc: 0.5963  lr: 0.0000 
ep/it:815- 104 niter:312250  1632m 43s (- 1371m 16s) completed: 54%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0487  acc: 0.6008  lr: 0.0000 
ep/it:815- 154 niter:312300  1632m 58s (- 1371m 0s) completed: 54%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0453  acc: 0.5927  lr: 0.0000 
ep/it:815- 204 niter:312350  1633m 12s (- 1370m 43s) completed: 54%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0473  acc: 0.5990  lr: 0.0000 
ep/it:815- 254 niter:312400  1633m 26s (- 1370m 26s) completed: 54%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0467  acc: 0.6006  lr: 0.0000 
ep/it:815- 304 niter:312450  1633m 41s (- 1370m 10s) completed: 54%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0464  acc: 0.5993  lr: 0.0000 
ep/it:815- 354 niter:312500  1633m 55s (- 1369m 53s) completed: 54%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0468  acc: 0.5990  lr: 0.0000 
Validation loss:1.572, accuracy:0.569
ep/it:816-  21 niter:312550  1634m 13s (- 1369m 38s) completed: 54%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0479  acc: 0.5990  lr: 0.0000 
ep/it:816-  71 niter:312600  1634m 27s (- 1369m 22s) completed: 54%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0483  acc: 0.5914  lr: 0.0000 
ep/it:816- 121 niter:312650  1634m 41s (- 1369m 5s) completed: 54%) loss_emb: 0.0000  loss: 1.3516  loss_TTT: 0.0467  acc: 0.6091  lr: 0.0000 
ep/it:816- 171 niter:312700  1634m 55s (- 1368m 47s) completed: 54%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0464  acc: 0.6057  lr: 0.0000 
ep/it:816- 221 niter:312750  1635m 9s (- 1368m 30s) completed: 54%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0458  acc: 0.6052  lr: 0.0000 
ep/it:816- 271 niter:312800  1635m 23s (- 1368m 13s) completed: 54%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0456  acc: 0.6061  lr: 0.0000 
ep/it:816- 321 niter:312850  1635m 37s (- 1367m 56s) completed: 54%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0466  acc: 0.5997  lr: 0.0000 
ep/it:816- 371 niter:312900  1635m 51s (- 1367m 39s) completed: 54%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0465  acc: 0.6012  lr: 0.0000 
Validation loss:1.552, accuracy:0.574
ep/it:817-  38 niter:312950  1636m 8s (- 1367m 24s) completed: 54%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0479  acc: 0.5981  lr: 0.0000 
ep/it:817-  88 niter:313000  1636m 22s (- 1367m 7s) completed: 54%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0455  acc: 0.5995  lr: 0.0000 
ep/it:817- 138 niter:313050  1636m 37s (- 1366m 51s) completed: 54%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0466  acc: 0.5916  lr: 0.0000 
ep/it:817- 188 niter:313100  1636m 51s (- 1366m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0473  acc: 0.5919  lr: 0.0000 
ep/it:817- 238 niter:313150  1637m 5s (- 1366m 17s) completed: 54%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0463  acc: 0.5988  lr: 0.0000 
ep/it:817- 288 niter:313200  1637m 20s (- 1366m 0s) completed: 54%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0467  acc: 0.5996  lr: 0.0000 
ep/it:817- 338 niter:313250  1637m 34s (- 1365m 44s) completed: 54%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0460  acc: 0.5947  lr: 0.0000 
Validation loss:1.611, accuracy:0.560
ep/it:818-   5 niter:313300  1637m 51s (- 1365m 29s) completed: 54%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0465  acc: 0.6002  lr: 0.0000 
ep/it:818-  55 niter:313350  1638m 5s (- 1365m 12s) completed: 54%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0460  acc: 0.5952  lr: 0.0000 
ep/it:818- 105 niter:313400  1638m 19s (- 1364m 55s) completed: 54%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0481  acc: 0.5990  lr: 0.0000 
ep/it:818- 155 niter:313450  1638m 33s (- 1364m 38s) completed: 54%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0468  acc: 0.6041  lr: 0.0000 
ep/it:818- 205 niter:313500  1638m 47s (- 1364m 21s) completed: 54%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0484  acc: 0.6011  lr: 0.0000 
ep/it:818- 255 niter:313550  1639m 2s (- 1364m 4s) completed: 54%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0470  acc: 0.5974  lr: 0.0000 
ep/it:818- 305 niter:313600  1639m 16s (- 1363m 47s) completed: 54%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0459  acc: 0.5974  lr: 0.0000 
ep/it:818- 355 niter:313650  1639m 30s (- 1363m 30s) completed: 54%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0464  acc: 0.5919  lr: 0.0000 
Validation loss:1.591, accuracy:0.563
ep/it:819-  22 niter:313700  1639m 47s (- 1363m 16s) completed: 54%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0458  acc: 0.5984  lr: 0.0000 
ep/it:819-  72 niter:313750  1640m 1s (- 1362m 59s) completed: 54%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0467  acc: 0.6032  lr: 0.0000 
ep/it:819- 122 niter:313800  1640m 15s (- 1362m 41s) completed: 54%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0469  acc: 0.5941  lr: 0.0000 
ep/it:819- 172 niter:313850  1640m 29s (- 1362m 25s) completed: 54%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0471  acc: 0.5989  lr: 0.0000 
ep/it:819- 222 niter:313900  1640m 43s (- 1362m 7s) completed: 54%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0464  acc: 0.5941  lr: 0.0000 
ep/it:819- 272 niter:313950  1640m 57s (- 1361m 50s) completed: 54%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0482  acc: 0.5953  lr: 0.0000 
ep/it:819- 322 niter:314000  1641m 11s (- 1361m 33s) completed: 54%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0481  acc: 0.5888  lr: 0.0000 
ep/it:819- 372 niter:314050  1641m 26s (- 1361m 17s) completed: 54%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0468  acc: 0.5938  lr: 0.0000 
Validation loss:1.621, accuracy:0.556

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.60it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.448922294192016 avg: 38.448922294192016
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.65053355041891 avg: 38.549727922305465
--> 	 Eva. Repeat 0 :, FID. 0.0908, Diversity Real. 9.3364, Diversity. 9.8546, R_precision_real. [0.52246094 0.70996094 0.79199219], R_precision. [0.51757812 0.70703125 0.78710938], matching_score_real. 2.9048, matching_score_pred. 2.9288, skate_ratio. 0.0488, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0635 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0097 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0277 
ep/it:820-  39 niter:314100  1643m 2s (- 1362m 7s) completed: 54%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0479  acc: 0.5996  lr: 0.0000 
ep/it:820-  89 niter:314150  1643m 16s (- 1361m 51s) completed: 54%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0477  acc: 0.6025  lr: 0.0000 
ep/it:820- 139 niter:314200  1643m 30s (- 1361m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0476  acc: 0.5981  lr: 0.0000 
ep/it:820- 189 niter:314250  1643m 45s (- 1361m 17s) completed: 54%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0458  acc: 0.6002  lr: 0.0000 
ep/it:820- 239 niter:314300  1644m 0s (- 1361m 1s) completed: 54%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0467  acc: 0.5986  lr: 0.0000 
ep/it:820- 289 niter:314350  1644m 14s (- 1360m 44s) completed: 54%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0474  acc: 0.5997  lr: 0.0000 
ep/it:820- 339 niter:314400  1644m 28s (- 1360m 27s) completed: 54%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0468  acc: 0.6018  lr: 0.0000 
Validation loss:1.590, accuracy:0.564
ep/it:821-   6 niter:314450  1644m 45s (- 1360m 13s) completed: 54%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0461  acc: 0.6043  lr: 0.0000 
ep/it:821-  56 niter:314500  1645m 0s (- 1359m 56s) completed: 54%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0467  acc: 0.5931  lr: 0.0000 
ep/it:821- 106 niter:314550  1645m 14s (- 1359m 39s) completed: 54%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0458  acc: 0.5964  lr: 0.0000 
ep/it:821- 156 niter:314600  1645m 28s (- 1359m 22s) completed: 54%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0452  acc: 0.5981  lr: 0.0000 
ep/it:821- 206 niter:314650  1645m 43s (- 1359m 6s) completed: 54%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0482  acc: 0.6054  lr: 0.0000 
ep/it:821- 256 niter:314700  1645m 57s (- 1358m 49s) completed: 54%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0488  acc: 0.5970  lr: 0.0000 
ep/it:821- 306 niter:314750  1646m 11s (- 1358m 32s) completed: 54%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0491  acc: 0.6010  lr: 0.0000 
ep/it:821- 356 niter:314800  1646m 25s (- 1358m 15s) completed: 54%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0464  acc: 0.6031  lr: 0.0000 
Validation loss:1.533, accuracy:0.577
ep/it:822-  23 niter:314850  1646m 43s (- 1358m 0s) completed: 54%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0471  acc: 0.6022  lr: 0.0000 
ep/it:822-  73 niter:314900  1646m 57s (- 1357m 43s) completed: 54%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0471  acc: 0.5994  lr: 0.0000 
ep/it:822- 123 niter:314950  1647m 11s (- 1357m 27s) completed: 54%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0468  acc: 0.5979  lr: 0.0000 
ep/it:822- 173 niter:315000  1647m 25s (- 1357m 9s) completed: 54%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0478  acc: 0.5999  lr: 0.0000 
ep/it:822- 223 niter:315050  1647m 39s (- 1356m 53s) completed: 54%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0465  acc: 0.6001  lr: 0.0000 
ep/it:822- 273 niter:315100  1647m 53s (- 1356m 36s) completed: 54%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0497  acc: 0.5985  lr: 0.0000 
ep/it:822- 323 niter:315150  1648m 8s (- 1356m 19s) completed: 54%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0472  acc: 0.5997  lr: 0.0000 
ep/it:822- 373 niter:315200  1648m 22s (- 1356m 2s) completed: 54%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0452  acc: 0.5917  lr: 0.0000 
Validation loss:1.561, accuracy:0.571
ep/it:823-  40 niter:315250  1648m 39s (- 1355m 48s) completed: 54%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0453  acc: 0.5960  lr: 0.0000 
ep/it:823-  90 niter:315300  1648m 54s (- 1355m 31s) completed: 54%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0471  acc: 0.5974  lr: 0.0000 
ep/it:823- 140 niter:315350  1649m 8s (- 1355m 14s) completed: 54%) loss_emb: 0.0000  loss: 1.3533  loss_TTT: 0.0454  acc: 0.6073  lr: 0.0000 
ep/it:823- 190 niter:315400  1649m 22s (- 1354m 57s) completed: 54%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0465  acc: 0.5945  lr: 0.0000 
ep/it:823- 240 niter:315450  1649m 37s (- 1354m 40s) completed: 54%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0463  acc: 0.5997  lr: 0.0000 
ep/it:823- 290 niter:315500  1649m 51s (- 1354m 23s) completed: 54%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0470  acc: 0.5981  lr: 0.0000 
ep/it:823- 340 niter:315550  1650m 6s (- 1354m 7s) completed: 54%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0471  acc: 0.6020  lr: 0.0000 
Validation loss:1.576, accuracy:0.568
ep/it:824-   7 niter:315600  1650m 23s (- 1353m 52s) completed: 54%) loss_emb: 0.0000  loss: 1.3478  loss_TTT: 0.0453  acc: 0.6070  lr: 0.0000 
ep/it:824-  57 niter:315650  1650m 38s (- 1353m 36s) completed: 54%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0470  acc: 0.5995  lr: 0.0000 
ep/it:824- 107 niter:315700  1650m 52s (- 1353m 19s) completed: 54%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0466  acc: 0.5998  lr: 0.0000 
ep/it:824- 157 niter:315750  1651m 6s (- 1353m 2s) completed: 54%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0484  acc: 0.5945  lr: 0.0000 
ep/it:824- 207 niter:315800  1651m 21s (- 1352m 46s) completed: 54%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0471  acc: 0.5983  lr: 0.0000 
ep/it:824- 257 niter:315850  1651m 35s (- 1352m 29s) completed: 54%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0465  acc: 0.6060  lr: 0.0000 
ep/it:824- 307 niter:315900  1651m 50s (- 1352m 13s) completed: 54%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0462  acc: 0.5887  lr: 0.0000 
ep/it:824- 357 niter:315950  1652m 5s (- 1351m 56s) completed: 54%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0456  acc: 0.6016  lr: 0.0000 
Validation loss:1.553, accuracy:0.573
ep/it:825-  24 niter:316000  1652m 22s (- 1351m 42s) completed: 55%) loss_emb: 0.0000  loss: 1.3434  loss_TTT: 0.0446  acc: 0.6088  lr: 0.0000 
ep/it:825-  74 niter:316050  1652m 37s (- 1351m 25s) completed: 55%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0471  acc: 0.5958  lr: 0.0000 
ep/it:825- 124 niter:316100  1652m 51s (- 1351m 9s) completed: 55%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0463  acc: 0.6002  lr: 0.0000 
ep/it:825- 174 niter:316150  1653m 5s (- 1350m 52s) completed: 55%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0462  acc: 0.5941  lr: 0.0000 
ep/it:825- 224 niter:316200  1653m 20s (- 1350m 35s) completed: 55%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0460  acc: 0.5988  lr: 0.0000 
ep/it:825- 274 niter:316250  1653m 34s (- 1350m 18s) completed: 55%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0462  acc: 0.6000  lr: 0.0000 
ep/it:825- 324 niter:316300  1653m 48s (- 1350m 1s) completed: 55%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0476  acc: 0.5930  lr: 0.0000 
ep/it:825- 374 niter:316350  1654m 3s (- 1349m 44s) completed: 55%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0474  acc: 0.6023  lr: 0.0000 
Validation loss:1.614, accuracy:0.558
ep/it:826-  41 niter:316400  1654m 19s (- 1349m 30s) completed: 55%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0458  acc: 0.6002  lr: 0.0000 
ep/it:826-  91 niter:316450  1654m 33s (- 1349m 12s) completed: 55%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0469  acc: 0.5961  lr: 0.0000 
ep/it:826- 141 niter:316500  1654m 47s (- 1348m 56s) completed: 55%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0471  acc: 0.6030  lr: 0.0000 
ep/it:826- 191 niter:316550  1655m 2s (- 1348m 39s) completed: 55%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0472  acc: 0.5975  lr: 0.0000 
ep/it:826- 241 niter:316600  1655m 17s (- 1348m 23s) completed: 55%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0473  acc: 0.5925  lr: 0.0000 
ep/it:826- 291 niter:316650  1655m 32s (- 1348m 6s) completed: 55%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0473  acc: 0.5960  lr: 0.0000 
ep/it:826- 341 niter:316700  1655m 46s (- 1347m 50s) completed: 55%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0460  acc: 0.6020  lr: 0.0000 
Validation loss:1.549, accuracy:0.573
ep/it:827-   8 niter:316750  1656m 3s (- 1347m 35s) completed: 55%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0468  acc: 0.6017  lr: 0.0000 
ep/it:827-  58 niter:316800  1656m 18s (- 1347m 18s) completed: 55%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0472  acc: 0.6032  lr: 0.0000 
ep/it:827- 108 niter:316850  1656m 32s (- 1347m 2s) completed: 55%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0465  acc: 0.6001  lr: 0.0000 
ep/it:827- 158 niter:316900  1656m 47s (- 1346m 45s) completed: 55%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0472  acc: 0.5943  lr: 0.0000 
ep/it:827- 208 niter:316950  1657m 1s (- 1346m 28s) completed: 55%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0464  acc: 0.5938  lr: 0.0000 
ep/it:827- 258 niter:317000  1657m 15s (- 1346m 12s) completed: 55%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0458  acc: 0.6009  lr: 0.0000 
ep/it:827- 308 niter:317050  1657m 30s (- 1345m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0466  acc: 0.6008  lr: 0.0000 
ep/it:827- 358 niter:317100  1657m 45s (- 1345m 38s) completed: 55%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0469  acc: 0.5919  lr: 0.0000 
Validation loss:1.607, accuracy:0.560
ep/it:828-  25 niter:317150  1658m 2s (- 1345m 24s) completed: 55%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0468  acc: 0.5911  lr: 0.0000 
ep/it:828-  75 niter:317200  1658m 16s (- 1345m 7s) completed: 55%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0468  acc: 0.6048  lr: 0.0000 
ep/it:828- 125 niter:317250  1658m 30s (- 1344m 50s) completed: 55%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0466  acc: 0.5953  lr: 0.0000 
ep/it:828- 175 niter:317300  1658m 44s (- 1344m 33s) completed: 55%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0457  acc: 0.6029  lr: 0.0000 
ep/it:828- 225 niter:317350  1658m 58s (- 1344m 16s) completed: 55%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0489  acc: 0.5958  lr: 0.0000 
ep/it:828- 275 niter:317400  1659m 12s (- 1343m 59s) completed: 55%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0477  acc: 0.5979  lr: 0.0000 
ep/it:828- 325 niter:317450  1659m 26s (- 1343m 42s) completed: 55%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0450  acc: 0.5910  lr: 0.0000 
ep/it:828- 375 niter:317500  1659m 41s (- 1343m 26s) completed: 55%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0450  acc: 0.5989  lr: 0.0000 
Validation loss:1.577, accuracy:0.566
ep/it:829-  42 niter:317550  1659m 58s (- 1343m 11s) completed: 55%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0466  acc: 0.5938  lr: 0.0000 
ep/it:829-  92 niter:317600  1660m 12s (- 1342m 54s) completed: 55%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0470  acc: 0.6033  lr: 0.0000 
ep/it:829- 142 niter:317650  1660m 27s (- 1342m 38s) completed: 55%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0495  acc: 0.6025  lr: 0.0000 
ep/it:829- 192 niter:317700  1660m 41s (- 1342m 21s) completed: 55%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0466  acc: 0.6047  lr: 0.0000 
ep/it:829- 242 niter:317750  1660m 55s (- 1342m 4s) completed: 55%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0460  acc: 0.6005  lr: 0.0000 
ep/it:829- 292 niter:317800  1661m 10s (- 1341m 47s) completed: 55%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0465  acc: 0.6006  lr: 0.0000 
ep/it:829- 342 niter:317850  1661m 24s (- 1341m 30s) completed: 55%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0469  acc: 0.5977  lr: 0.0000 
Validation loss:1.562, accuracy:0.572

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.67it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.12127747386694 avg: 39.12127747386694
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.41596178896725 avg: 38.768619631417096
--> 	 Eva. Repeat 0 :, FID. 0.0866, Diversity Real. 9.2699, Diversity. 9.7247, R_precision_real. [0.47851562 0.6796875  0.78027344], R_precision. [0.50976562 0.68847656 0.78710938], matching_score_real. 2.9978, matching_score_pred. 2.9871, skate_ratio. 0.0485, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0439 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0107 (kps_fail_50cm (Loc. err)): 0.0007 (kps_mean_err(m) (Avg. err)): 0.0270 
ep/it:830-   9 niter:317900  1663m 0s (- 1342m 19s) completed: 55%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0450  acc: 0.6028  lr: 0.0000 
ep/it:830-  59 niter:317950  1663m 14s (- 1342m 3s) completed: 55%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0455  acc: 0.6065  lr: 0.0000 
ep/it:830- 109 niter:318000  1663m 29s (- 1341m 46s) completed: 55%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0466  acc: 0.6038  lr: 0.0000 
ep/it:830- 159 niter:318050  1663m 44s (- 1341m 30s) completed: 55%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0458  acc: 0.6025  lr: 0.0000 
ep/it:830- 209 niter:318100  1663m 58s (- 1341m 13s) completed: 55%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0472  acc: 0.5952  lr: 0.0000 
ep/it:830- 259 niter:318150  1664m 13s (- 1340m 57s) completed: 55%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0457  acc: 0.5998  lr: 0.0000 
ep/it:830- 309 niter:318200  1664m 27s (- 1340m 39s) completed: 55%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0460  acc: 0.5970  lr: 0.0000 
ep/it:830- 359 niter:318250  1664m 41s (- 1340m 23s) completed: 55%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0472  acc: 0.6022  lr: 0.0000 
Validation loss:1.551, accuracy:0.575
ep/it:831-  26 niter:318300  1664m 58s (- 1340m 8s) completed: 55%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0466  acc: 0.6010  lr: 0.0000 
ep/it:831-  76 niter:318350  1665m 12s (- 1339m 51s) completed: 55%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0463  acc: 0.6036  lr: 0.0000 
ep/it:831- 126 niter:318400  1665m 27s (- 1339m 34s) completed: 55%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0458  acc: 0.6035  lr: 0.0000 
ep/it:831- 176 niter:318450  1665m 41s (- 1339m 17s) completed: 55%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0473  acc: 0.5982  lr: 0.0000 
ep/it:831- 226 niter:318500  1665m 55s (- 1339m 0s) completed: 55%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0466  acc: 0.5963  lr: 0.0000 
ep/it:831- 276 niter:318550  1666m 9s (- 1338m 44s) completed: 55%) loss_emb: 0.0000  loss: 1.3567  loss_TTT: 0.0468  acc: 0.6063  lr: 0.0000 
ep/it:831- 326 niter:318600  1666m 23s (- 1338m 27s) completed: 55%) loss_emb: 0.0000  loss: 1.3567  loss_TTT: 0.0473  acc: 0.6064  lr: 0.0000 
ep/it:831- 376 niter:318650  1666m 37s (- 1338m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0486  acc: 0.5989  lr: 0.0000 
Validation loss:1.594, accuracy:0.563
ep/it:832-  43 niter:318700  1666m 55s (- 1337m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0446  acc: 0.6014  lr: 0.0000 
ep/it:832-  93 niter:318750  1667m 9s (- 1337m 38s) completed: 55%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0468  acc: 0.5987  lr: 0.0000 
ep/it:832- 143 niter:318800  1667m 23s (- 1337m 22s) completed: 55%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0478  acc: 0.5976  lr: 0.0000 
ep/it:832- 193 niter:318850  1667m 38s (- 1337m 5s) completed: 55%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0465  acc: 0.6032  lr: 0.0000 
ep/it:832- 243 niter:318900  1667m 52s (- 1336m 48s) completed: 55%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0454  acc: 0.5936  lr: 0.0000 
ep/it:832- 293 niter:318950  1668m 7s (- 1336m 32s) completed: 55%) loss_emb: 0.0000  loss: 1.3490  loss_TTT: 0.0457  acc: 0.6081  lr: 0.0000 
ep/it:832- 343 niter:319000  1668m 21s (- 1336m 15s) completed: 55%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0463  acc: 0.5978  lr: 0.0000 
Validation loss:1.593, accuracy:0.562
ep/it:833-  10 niter:319050  1668m 39s (- 1336m 1s) completed: 55%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0450  acc: 0.6049  lr: 0.0000 
ep/it:833-  60 niter:319100  1668m 53s (- 1335m 44s) completed: 55%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0460  acc: 0.5958  lr: 0.0000 
ep/it:833- 110 niter:319150  1669m 7s (- 1335m 27s) completed: 55%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0465  acc: 0.5887  lr: 0.0000 
ep/it:833- 160 niter:319200  1669m 22s (- 1335m 11s) completed: 55%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0471  acc: 0.5903  lr: 0.0000 
ep/it:833- 210 niter:319250  1669m 36s (- 1334m 54s) completed: 55%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0466  acc: 0.6029  lr: 0.0000 
ep/it:833- 260 niter:319300  1669m 50s (- 1334m 37s) completed: 55%) loss_emb: 0.0000  loss: 1.3355  loss_TTT: 0.0460  acc: 0.6120  lr: 0.0000 
ep/it:833- 310 niter:319350  1670m 4s (- 1334m 20s) completed: 55%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0472  acc: 0.5926  lr: 0.0000 
ep/it:833- 360 niter:319400  1670m 18s (- 1334m 3s) completed: 55%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0456  acc: 0.6004  lr: 0.0000 
Validation loss:1.587, accuracy:0.564
ep/it:834-  27 niter:319450  1670m 35s (- 1333m 48s) completed: 55%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0473  acc: 0.5947  lr: 0.0000 
ep/it:834-  77 niter:319500  1670m 49s (- 1333m 31s) completed: 55%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0470  acc: 0.6039  lr: 0.0000 
ep/it:834- 127 niter:319550  1671m 3s (- 1333m 14s) completed: 55%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0468  acc: 0.6040  lr: 0.0000 
ep/it:834- 177 niter:319600  1671m 17s (- 1332m 57s) completed: 55%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0463  acc: 0.6004  lr: 0.0000 
ep/it:834- 227 niter:319650  1671m 31s (- 1332m 40s) completed: 55%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0453  acc: 0.5978  lr: 0.0000 
ep/it:834- 277 niter:319700  1671m 46s (- 1332m 23s) completed: 55%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0472  acc: 0.5918  lr: 0.0000 
ep/it:834- 327 niter:319750  1672m 0s (- 1332m 7s) completed: 55%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0474  acc: 0.6014  lr: 0.0000 
ep/it:834- 377 niter:319800  1672m 14s (- 1331m 49s) completed: 55%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0453  acc: 0.5998  lr: 0.0000 
Validation loss:1.573, accuracy:0.568
ep/it:835-  44 niter:319850  1672m 31s (- 1331m 34s) completed: 55%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0468  acc: 0.5979  lr: 0.0000 
ep/it:835-  94 niter:319900  1672m 45s (- 1331m 18s) completed: 55%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0471  acc: 0.6020  lr: 0.0000 
ep/it:835- 144 niter:319950  1672m 59s (- 1331m 1s) completed: 55%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0457  acc: 0.5991  lr: 0.0000 
ep/it:835- 194 niter:320000  1673m 14s (- 1330m 44s) completed: 55%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0481  acc: 0.5965  lr: 0.0000 
ep/it:835- 244 niter:320050  1673m 29s (- 1330m 28s) completed: 55%) loss_emb: 0.0000  loss: 1.4245  loss_TTT: 0.0481  acc: 0.5888  lr: 0.0000 
ep/it:835- 294 niter:320100  1673m 43s (- 1330m 11s) completed: 55%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0473  acc: 0.5983  lr: 0.0000 
ep/it:835- 344 niter:320150  1673m 58s (- 1329m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0474  acc: 0.6044  lr: 0.0000 
Validation loss:1.575, accuracy:0.567
ep/it:836-  11 niter:320200  1674m 16s (- 1329m 41s) completed: 55%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0467  acc: 0.5923  lr: 0.0000 
ep/it:836-  61 niter:320250  1674m 30s (- 1329m 24s) completed: 55%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0467  acc: 0.6006  lr: 0.0000 
ep/it:836- 111 niter:320300  1674m 44s (- 1329m 7s) completed: 55%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0483  acc: 0.5989  lr: 0.0000 
ep/it:836- 161 niter:320350  1674m 59s (- 1328m 51s) completed: 55%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0488  acc: 0.6068  lr: 0.0000 
ep/it:836- 211 niter:320400  1675m 13s (- 1328m 34s) completed: 55%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0468  acc: 0.6019  lr: 0.0000 
ep/it:836- 261 niter:320450  1675m 28s (- 1328m 18s) completed: 55%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0452  acc: 0.5994  lr: 0.0000 
ep/it:836- 311 niter:320500  1675m 42s (- 1328m 1s) completed: 55%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0460  acc: 0.6088  lr: 0.0000 
ep/it:836- 361 niter:320550  1675m 58s (- 1327m 45s) completed: 55%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0466  acc: 0.6048  lr: 0.0000 
Validation loss:1.577, accuracy:0.568
ep/it:837-  28 niter:320600  1676m 14s (- 1327m 30s) completed: 55%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0458  acc: 0.6020  lr: 0.0000 
ep/it:837-  78 niter:320650  1676m 29s (- 1327m 13s) completed: 55%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0478  acc: 0.5997  lr: 0.0000 
ep/it:837- 128 niter:320700  1676m 43s (- 1326m 57s) completed: 55%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0462  acc: 0.5993  lr: 0.0000 
ep/it:837- 178 niter:320750  1676m 57s (- 1326m 40s) completed: 55%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0469  acc: 0.5990  lr: 0.0000 
ep/it:837- 228 niter:320800  1677m 12s (- 1326m 23s) completed: 55%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0481  acc: 0.5950  lr: 0.0000 
ep/it:837- 278 niter:320850  1677m 26s (- 1326m 6s) completed: 55%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0451  acc: 0.5949  lr: 0.0000 
ep/it:837- 328 niter:320900  1677m 39s (- 1325m 49s) completed: 55%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0470  acc: 0.6017  lr: 0.0000 
ep/it:837- 378 niter:320950  1677m 53s (- 1325m 32s) completed: 55%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0455  acc: 0.5965  lr: 0.0000 
Validation loss:1.577, accuracy:0.567
ep/it:838-  45 niter:321000  1678m 10s (- 1325m 17s) completed: 55%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0468  acc: 0.5997  lr: 0.0000 
ep/it:838-  95 niter:321050  1678m 24s (- 1325m 0s) completed: 55%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0458  acc: 0.6025  lr: 0.0000 
ep/it:838- 145 niter:321100  1678m 39s (- 1324m 43s) completed: 55%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0469  acc: 0.6014  lr: 0.0000 
ep/it:838- 195 niter:321150  1678m 53s (- 1324m 27s) completed: 55%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0464  acc: 0.6003  lr: 0.0000 
ep/it:838- 245 niter:321200  1679m 8s (- 1324m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0464  acc: 0.5969  lr: 0.0000 
ep/it:838- 295 niter:321250  1679m 22s (- 1323m 53s) completed: 55%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0457  acc: 0.5952  lr: 0.0000 
ep/it:838- 345 niter:321300  1679m 36s (- 1323m 36s) completed: 55%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0467  acc: 0.5991  lr: 0.0000 
Validation loss:1.521, accuracy:0.582
ep/it:839-  12 niter:321350  1679m 53s (- 1323m 21s) completed: 55%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0462  acc: 0.5969  lr: 0.0000 
ep/it:839-  62 niter:321400  1680m 7s (- 1323m 4s) completed: 55%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0473  acc: 0.5962  lr: 0.0000 
ep/it:839- 112 niter:321450  1680m 21s (- 1322m 48s) completed: 55%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0457  acc: 0.6019  lr: 0.0000 
ep/it:839- 162 niter:321500  1680m 36s (- 1322m 31s) completed: 55%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0472  acc: 0.6010  lr: 0.0000 
ep/it:839- 212 niter:321550  1680m 51s (- 1322m 15s) completed: 55%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0449  acc: 0.6083  lr: 0.0000 
ep/it:839- 262 niter:321600  1681m 5s (- 1321m 58s) completed: 55%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0452  acc: 0.5946  lr: 0.0000 
ep/it:839- 312 niter:321650  1681m 19s (- 1321m 41s) completed: 55%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0470  acc: 0.5975  lr: 0.0000 
ep/it:839- 362 niter:321700  1681m 34s (- 1321m 25s) completed: 55%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0480  acc: 0.6017  lr: 0.0000 
Validation loss:1.589, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.65it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.83004259876907 avg: 38.83004259876907
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.48131495062262 avg: 38.65567877469584
--> 	 Eva. Repeat 0 :, FID. 0.0975, Diversity Real. 9.5164, Diversity. 9.3579, R_precision_real. [0.51074219 0.70800781 0.81152344], R_precision. [0.51074219 0.71191406 0.80664062], matching_score_real. 2.9260, matching_score_pred. 3.0095, skate_ratio. 0.0532, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0566 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0094 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0267 
ep/it:840-  29 niter:321750  1683m 10s (- 1322m 12s) completed: 56%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0465  acc: 0.5935  lr: 0.0000 
ep/it:840-  79 niter:321800  1683m 24s (- 1321m 55s) completed: 56%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0456  acc: 0.5979  lr: 0.0000 
ep/it:840- 129 niter:321850  1683m 38s (- 1321m 38s) completed: 56%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0452  acc: 0.6003  lr: 0.0000 
ep/it:840- 179 niter:321900  1683m 52s (- 1321m 21s) completed: 56%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0476  acc: 0.5946  lr: 0.0000 
ep/it:840- 229 niter:321950  1684m 6s (- 1321m 5s) completed: 56%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0478  acc: 0.5981  lr: 0.0000 
ep/it:840- 279 niter:322000  1684m 20s (- 1320m 48s) completed: 56%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0462  acc: 0.6042  lr: 0.0000 
ep/it:840- 329 niter:322050  1684m 35s (- 1320m 31s) completed: 56%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0470  acc: 0.5985  lr: 0.0000 
ep/it:840- 379 niter:322100  1684m 49s (- 1320m 14s) completed: 56%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0469  acc: 0.6025  lr: 0.0000 
Validation loss:1.598, accuracy:0.560
ep/it:841-  46 niter:322150  1685m 7s (- 1320m 0s) completed: 56%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0469  acc: 0.5933  lr: 0.0000 
ep/it:841-  96 niter:322200  1685m 21s (- 1319m 43s) completed: 56%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0460  acc: 0.5927  lr: 0.0000 
ep/it:841- 146 niter:322250  1685m 36s (- 1319m 27s) completed: 56%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0469  acc: 0.6059  lr: 0.0000 
ep/it:841- 196 niter:322300  1685m 50s (- 1319m 10s) completed: 56%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0447  acc: 0.5969  lr: 0.0000 
ep/it:841- 246 niter:322350  1686m 5s (- 1318m 53s) completed: 56%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0462  acc: 0.6016  lr: 0.0000 
ep/it:841- 296 niter:322400  1686m 20s (- 1318m 37s) completed: 56%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0464  acc: 0.5990  lr: 0.0000 
ep/it:841- 346 niter:322450  1686m 34s (- 1318m 20s) completed: 56%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0460  acc: 0.6025  lr: 0.0000 
Validation loss:1.599, accuracy:0.560
ep/it:842-  13 niter:322500  1686m 50s (- 1318m 5s) completed: 56%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0469  acc: 0.5970  lr: 0.0000 
ep/it:842-  63 niter:322550  1687m 5s (- 1317m 49s) completed: 56%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0463  acc: 0.5980  lr: 0.0000 
ep/it:842- 113 niter:322600  1687m 20s (- 1317m 32s) completed: 56%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0479  acc: 0.5985  lr: 0.0000 
ep/it:842- 163 niter:322650  1687m 34s (- 1317m 15s) completed: 56%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0465  acc: 0.5973  lr: 0.0000 
ep/it:842- 213 niter:322700  1687m 48s (- 1316m 58s) completed: 56%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0460  acc: 0.6002  lr: 0.0000 
ep/it:842- 263 niter:322750  1688m 2s (- 1316m 42s) completed: 56%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0467  acc: 0.5990  lr: 0.0000 
ep/it:842- 313 niter:322800  1688m 17s (- 1316m 25s) completed: 56%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0465  acc: 0.5933  lr: 0.0000 
ep/it:842- 363 niter:322850  1688m 31s (- 1316m 8s) completed: 56%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0453  acc: 0.6052  lr: 0.0000 
Validation loss:1.572, accuracy:0.568
ep/it:843-  30 niter:322900  1688m 48s (- 1315m 54s) completed: 56%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0462  acc: 0.5989  lr: 0.0000 
ep/it:843-  80 niter:322950  1689m 2s (- 1315m 37s) completed: 56%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0485  acc: 0.5986  lr: 0.0000 
ep/it:843- 130 niter:323000  1689m 17s (- 1315m 20s) completed: 56%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0472  acc: 0.6012  lr: 0.0000 
ep/it:843- 180 niter:323050  1689m 32s (- 1315m 4s) completed: 56%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0464  acc: 0.6036  lr: 0.0000 
ep/it:843- 230 niter:323100  1689m 47s (- 1314m 48s) completed: 56%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0469  acc: 0.6014  lr: 0.0000 
ep/it:843- 280 niter:323150  1690m 1s (- 1314m 31s) completed: 56%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0457  acc: 0.5982  lr: 0.0000 
ep/it:843- 330 niter:323200  1690m 15s (- 1314m 14s) completed: 56%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0466  acc: 0.6062  lr: 0.0000 
ep/it:843- 380 niter:323250  1690m 29s (- 1313m 57s) completed: 56%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0458  acc: 0.6069  lr: 0.0000 
Validation loss:1.558, accuracy:0.572
ep/it:844-  47 niter:323300  1690m 46s (- 1313m 42s) completed: 56%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0448  acc: 0.5982  lr: 0.0000 
ep/it:844-  97 niter:323350  1691m 1s (- 1313m 26s) completed: 56%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0468  acc: 0.6013  lr: 0.0000 
ep/it:844- 147 niter:323400  1691m 16s (- 1313m 9s) completed: 56%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0469  acc: 0.6017  lr: 0.0000 
ep/it:844- 197 niter:323450  1691m 30s (- 1312m 53s) completed: 56%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0478  acc: 0.5938  lr: 0.0000 
ep/it:844- 247 niter:323500  1691m 45s (- 1312m 37s) completed: 56%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0457  acc: 0.5981  lr: 0.0000 
ep/it:844- 297 niter:323550  1692m 0s (- 1312m 20s) completed: 56%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0463  acc: 0.5979  lr: 0.0000 
ep/it:844- 347 niter:323600  1692m 14s (- 1312m 3s) completed: 56%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0475  acc: 0.6049  lr: 0.0000 
Validation loss:1.640, accuracy:0.553
ep/it:845-  14 niter:323650  1692m 32s (- 1311m 49s) completed: 56%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0471  acc: 0.6040  lr: 0.0000 
ep/it:845-  64 niter:323700  1692m 46s (- 1311m 32s) completed: 56%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0482  acc: 0.6012  lr: 0.0000 
ep/it:845- 114 niter:323750  1693m 0s (- 1311m 15s) completed: 56%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0480  acc: 0.6022  lr: 0.0000 
ep/it:845- 164 niter:323800  1693m 14s (- 1310m 58s) completed: 56%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0476  acc: 0.5946  lr: 0.0000 
ep/it:845- 214 niter:323850  1693m 28s (- 1310m 41s) completed: 56%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0466  acc: 0.6038  lr: 0.0000 
ep/it:845- 264 niter:323900  1693m 42s (- 1310m 24s) completed: 56%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0452  acc: 0.5959  lr: 0.0000 
ep/it:845- 314 niter:323950  1693m 56s (- 1310m 7s) completed: 56%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0475  acc: 0.5990  lr: 0.0000 
ep/it:845- 364 niter:324000  1694m 10s (- 1309m 51s) completed: 56%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0464  acc: 0.5955  lr: 0.0000 
Validation loss:1.608, accuracy:0.558
ep/it:846-  31 niter:324050  1694m 27s (- 1309m 36s) completed: 56%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0468  acc: 0.5984  lr: 0.0000 
ep/it:846-  81 niter:324100  1694m 41s (- 1309m 19s) completed: 56%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0456  acc: 0.6072  lr: 0.0000 
ep/it:846- 131 niter:324150  1694m 56s (- 1309m 2s) completed: 56%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0463  acc: 0.5959  lr: 0.0000 
ep/it:846- 181 niter:324200  1695m 9s (- 1308m 45s) completed: 56%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0451  acc: 0.5967  lr: 0.0000 
ep/it:846- 231 niter:324250  1695m 24s (- 1308m 28s) completed: 56%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0470  acc: 0.6007  lr: 0.0000 
ep/it:846- 281 niter:324300  1695m 39s (- 1308m 12s) completed: 56%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0455  acc: 0.6030  lr: 0.0000 
ep/it:846- 331 niter:324350  1695m 53s (- 1307m 55s) completed: 56%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0472  acc: 0.6003  lr: 0.0000 
ep/it:846- 381 niter:324400  1696m 8s (- 1307m 39s) completed: 56%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0475  acc: 0.6001  lr: 0.0000 
Validation loss:1.557, accuracy:0.573
ep/it:847-  48 niter:324450  1696m 25s (- 1307m 25s) completed: 56%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0459  acc: 0.5991  lr: 0.0000 
ep/it:847-  98 niter:324500  1696m 39s (- 1307m 8s) completed: 56%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0476  acc: 0.5939  lr: 0.0000 
ep/it:847- 148 niter:324550  1696m 54s (- 1306m 51s) completed: 56%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0474  acc: 0.6016  lr: 0.0000 
ep/it:847- 198 niter:324600  1697m 9s (- 1306m 35s) completed: 56%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0449  acc: 0.6052  lr: 0.0000 
ep/it:847- 248 niter:324650  1697m 23s (- 1306m 18s) completed: 56%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0478  acc: 0.5970  lr: 0.0000 
ep/it:847- 298 niter:324700  1697m 38s (- 1306m 2s) completed: 56%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0449  acc: 0.5995  lr: 0.0000 
ep/it:847- 348 niter:324750  1697m 52s (- 1305m 45s) completed: 56%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0465  acc: 0.5939  lr: 0.0000 
Validation loss:1.615, accuracy:0.557
ep/it:848-  15 niter:324800  1698m 9s (- 1305m 30s) completed: 56%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0467  acc: 0.5986  lr: 0.0000 
ep/it:848-  65 niter:324850  1698m 24s (- 1305m 14s) completed: 56%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0460  acc: 0.6016  lr: 0.0000 
ep/it:848- 115 niter:324900  1698m 38s (- 1304m 57s) completed: 56%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0455  acc: 0.5978  lr: 0.0000 
ep/it:848- 165 niter:324950  1698m 52s (- 1304m 40s) completed: 56%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0468  acc: 0.6030  lr: 0.0000 
ep/it:848- 215 niter:325000  1699m 7s (- 1304m 24s) completed: 56%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0474  acc: 0.5992  lr: 0.0000 
ep/it:848- 265 niter:325050  1699m 21s (- 1304m 7s) completed: 56%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0485  acc: 0.6053  lr: 0.0000 
ep/it:848- 315 niter:325100  1699m 36s (- 1303m 50s) completed: 56%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0447  acc: 0.5999  lr: 0.0000 
ep/it:848- 365 niter:325150  1699m 50s (- 1303m 34s) completed: 56%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0450  acc: 0.5977  lr: 0.0000 
Validation loss:1.612, accuracy:0.557
ep/it:849-  32 niter:325200  1700m 8s (- 1303m 19s) completed: 56%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0435  acc: 0.6050  lr: 0.0000 
ep/it:849-  82 niter:325250  1700m 22s (- 1303m 3s) completed: 56%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0468  acc: 0.6039  lr: 0.0000 
ep/it:849- 132 niter:325300  1700m 37s (- 1302m 46s) completed: 56%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0455  acc: 0.6020  lr: 0.0000 
ep/it:849- 182 niter:325350  1700m 51s (- 1302m 30s) completed: 56%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0460  acc: 0.6051  lr: 0.0000 
ep/it:849- 232 niter:325400  1701m 6s (- 1302m 13s) completed: 56%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0436  acc: 0.6019  lr: 0.0000 
ep/it:849- 282 niter:325450  1701m 20s (- 1301m 57s) completed: 56%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0487  acc: 0.6012  lr: 0.0000 
ep/it:849- 332 niter:325500  1701m 35s (- 1301m 40s) completed: 56%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0464  acc: 0.6089  lr: 0.0000 
ep/it:849- 382 niter:325550  1701m 49s (- 1301m 23s) completed: 56%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0465  acc: 0.6075  lr: 0.0000 
Validation loss:1.612, accuracy:0.559

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.54it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.5503636719659 avg: 38.5503636719659
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.635602064430714 avg: 38.592982868198305
--> 	 Eva. Repeat 0 :, FID. 0.0850, Diversity Real. 9.5913, Diversity. 9.5604, R_precision_real. [0.50195312 0.69824219 0.79101562], R_precision. [0.49023438 0.70996094 0.81347656], matching_score_real. 2.8931, matching_score_pred. 2.9743, skate_ratio. 0.0500, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0518 (traj_fail_50cm (Traj err)): 0.0029 (kps_fail_20cm): 0.0089 (kps_fail_50cm (Loc. err)): 0.0001 (kps_mean_err(m) (Avg. err)): 0.0261 
ep/it:850-  49 niter:325600  1703m 25s (- 1302m 9s) completed: 56%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0446  acc: 0.6020  lr: 0.0000 
ep/it:850-  99 niter:325650  1703m 39s (- 1301m 52s) completed: 56%) loss_emb: 0.0000  loss: 1.3710  loss_TTT: 0.0469  acc: 0.6032  lr: 0.0000 
ep/it:850- 149 niter:325700  1703m 54s (- 1301m 35s) completed: 56%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0472  acc: 0.5933  lr: 0.0000 
ep/it:850- 199 niter:325750  1704m 8s (- 1301m 19s) completed: 56%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0455  acc: 0.6010  lr: 0.0000 
ep/it:850- 249 niter:325800  1704m 22s (- 1301m 2s) completed: 56%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0479  acc: 0.5982  lr: 0.0000 
ep/it:850- 299 niter:325850  1704m 36s (- 1300m 45s) completed: 56%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0455  acc: 0.6018  lr: 0.0000 
ep/it:850- 349 niter:325900  1704m 51s (- 1300m 28s) completed: 56%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0470  acc: 0.6004  lr: 0.0000 
Validation loss:1.530, accuracy:0.580
ep/it:851-  16 niter:325950  1705m 7s (- 1300m 13s) completed: 56%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0471  acc: 0.5886  lr: 0.0000 
ep/it:851-  66 niter:326000  1705m 22s (- 1299m 57s) completed: 56%) loss_emb: 0.0000  loss: 1.3578  loss_TTT: 0.0452  acc: 0.6045  lr: 0.0000 
ep/it:851- 116 niter:326050  1705m 37s (- 1299m 40s) completed: 56%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0446  acc: 0.6058  lr: 0.0000 
ep/it:851- 166 niter:326100  1705m 51s (- 1299m 24s) completed: 56%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0453  acc: 0.6019  lr: 0.0000 
ep/it:851- 216 niter:326150  1706m 6s (- 1299m 7s) completed: 56%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0468  acc: 0.5933  lr: 0.0000 
ep/it:851- 266 niter:326200  1706m 20s (- 1298m 51s) completed: 56%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0470  acc: 0.5911  lr: 0.0000 
ep/it:851- 316 niter:326250  1706m 35s (- 1298m 34s) completed: 56%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0478  acc: 0.5974  lr: 0.0000 
ep/it:851- 366 niter:326300  1706m 49s (- 1298m 18s) completed: 56%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0479  acc: 0.6005  lr: 0.0000 
Validation loss:1.580, accuracy:0.566
ep/it:852-  33 niter:326350  1707m 7s (- 1298m 3s) completed: 56%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0449  acc: 0.6054  lr: 0.0000 
ep/it:852-  83 niter:326400  1707m 21s (- 1297m 46s) completed: 56%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0470  acc: 0.5998  lr: 0.0000 
ep/it:852- 133 niter:326450  1707m 36s (- 1297m 30s) completed: 56%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0470  acc: 0.5973  lr: 0.0000 
ep/it:852- 183 niter:326500  1707m 50s (- 1297m 13s) completed: 56%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0452  acc: 0.6077  lr: 0.0000 
ep/it:852- 233 niter:326550  1708m 5s (- 1296m 57s) completed: 56%) loss_emb: 0.0000  loss: 1.3474  loss_TTT: 0.0449  acc: 0.6092  lr: 0.0000 
ep/it:852- 283 niter:326600  1708m 20s (- 1296m 41s) completed: 56%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0472  acc: 0.5959  lr: 0.0000 
ep/it:852- 333 niter:326650  1708m 35s (- 1296m 24s) completed: 56%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0467  acc: 0.6000  lr: 0.0000 
Validation loss:1.603, accuracy:0.561
ep/it:853-   0 niter:326700  1708m 52s (- 1296m 10s) completed: 56%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0463  acc: 0.6025  lr: 0.0000 
ep/it:853-  50 niter:326750  1709m 6s (- 1295m 53s) completed: 56%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0461  acc: 0.6004  lr: 0.0000 
ep/it:853- 100 niter:326800  1709m 20s (- 1295m 36s) completed: 56%) loss_emb: 0.0000  loss: 1.3511  loss_TTT: 0.0471  acc: 0.6076  lr: 0.0000 
ep/it:853- 150 niter:326850  1709m 34s (- 1295m 19s) completed: 56%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0464  acc: 0.6001  lr: 0.0000 
ep/it:853- 200 niter:326900  1709m 48s (- 1295m 2s) completed: 56%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0463  acc: 0.5978  lr: 0.0000 
ep/it:853- 250 niter:326950  1710m 2s (- 1294m 45s) completed: 56%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0461  acc: 0.6018  lr: 0.0000 
ep/it:853- 300 niter:327000  1710m 16s (- 1294m 28s) completed: 56%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0460  acc: 0.5990  lr: 0.0000 
ep/it:853- 350 niter:327050  1710m 31s (- 1294m 12s) completed: 56%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0475  acc: 0.6082  lr: 0.0000 
Validation loss:1.575, accuracy:0.567
ep/it:854-  17 niter:327100  1710m 48s (- 1293m 57s) completed: 56%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0450  acc: 0.6027  lr: 0.0000 
ep/it:854-  67 niter:327150  1711m 2s (- 1293m 40s) completed: 56%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0449  acc: 0.6016  lr: 0.0000 
ep/it:854- 117 niter:327200  1711m 16s (- 1293m 23s) completed: 56%) loss_emb: 0.0000  loss: 1.3388  loss_TTT: 0.0458  acc: 0.6111  lr: 0.0000 
ep/it:854- 167 niter:327250  1711m 30s (- 1293m 6s) completed: 56%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0470  acc: 0.5960  lr: 0.0000 
ep/it:854- 217 niter:327300  1711m 45s (- 1292m 50s) completed: 56%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0460  acc: 0.6013  lr: 0.0000 
ep/it:854- 267 niter:327350  1711m 59s (- 1292m 33s) completed: 56%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0460  acc: 0.6004  lr: 0.0000 
ep/it:854- 317 niter:327400  1712m 13s (- 1292m 16s) completed: 56%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0469  acc: 0.5928  lr: 0.0000 
ep/it:854- 367 niter:327450  1712m 27s (- 1291m 59s) completed: 56%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0452  acc: 0.6004  lr: 0.0000 
Validation loss:1.595, accuracy:0.562
ep/it:855-  34 niter:327500  1712m 44s (- 1291m 44s) completed: 57%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0467  acc: 0.5981  lr: 0.0000 
ep/it:855-  84 niter:327550  1712m 58s (- 1291m 27s) completed: 57%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0460  acc: 0.5995  lr: 0.0000 
ep/it:855- 134 niter:327600  1713m 12s (- 1291m 11s) completed: 57%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0470  acc: 0.5983  lr: 0.0000 
ep/it:855- 184 niter:327650  1713m 27s (- 1290m 54s) completed: 57%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0461  acc: 0.5989  lr: 0.0000 
ep/it:855- 234 niter:327700  1713m 40s (- 1290m 37s) completed: 57%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0449  acc: 0.6041  lr: 0.0000 
ep/it:855- 284 niter:327750  1713m 55s (- 1290m 20s) completed: 57%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0463  acc: 0.5983  lr: 0.0000 
ep/it:855- 334 niter:327800  1714m 10s (- 1290m 4s) completed: 57%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0470  acc: 0.5989  lr: 0.0000 
Validation loss:1.556, accuracy:0.573
ep/it:856-   1 niter:327850  1714m 27s (- 1289m 49s) completed: 57%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0461  acc: 0.6041  lr: 0.0000 
ep/it:856-  51 niter:327900  1714m 41s (- 1289m 33s) completed: 57%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0475  acc: 0.6012  lr: 0.0000 
ep/it:856- 101 niter:327950  1714m 56s (- 1289m 16s) completed: 57%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0459  acc: 0.6032  lr: 0.0000 
ep/it:856- 151 niter:328000  1715m 10s (- 1288m 59s) completed: 57%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0459  acc: 0.5985  lr: 0.0000 
ep/it:856- 201 niter:328050  1715m 25s (- 1288m 43s) completed: 57%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0464  acc: 0.6045  lr: 0.0000 
ep/it:856- 251 niter:328100  1715m 39s (- 1288m 26s) completed: 57%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0462  acc: 0.5900  lr: 0.0000 
ep/it:856- 301 niter:328150  1715m 53s (- 1288m 9s) completed: 57%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0462  acc: 0.6056  lr: 0.0000 
ep/it:856- 351 niter:328200  1716m 8s (- 1287m 53s) completed: 57%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0451  acc: 0.6054  lr: 0.0000 
Validation loss:1.574, accuracy:0.569
ep/it:857-  18 niter:328250  1716m 25s (- 1287m 38s) completed: 57%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0463  acc: 0.5978  lr: 0.0000 
ep/it:857-  68 niter:328300  1716m 39s (- 1287m 21s) completed: 57%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0471  acc: 0.5996  lr: 0.0000 
ep/it:857- 118 niter:328350  1716m 54s (- 1287m 5s) completed: 57%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0470  acc: 0.5992  lr: 0.0000 
ep/it:857- 168 niter:328400  1717m 8s (- 1286m 48s) completed: 57%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0457  acc: 0.6005  lr: 0.0000 
ep/it:857- 218 niter:328450  1717m 22s (- 1286m 31s) completed: 57%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0456  acc: 0.5957  lr: 0.0000 
ep/it:857- 268 niter:328500  1717m 36s (- 1286m 14s) completed: 57%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0465  acc: 0.6047  lr: 0.0000 
ep/it:857- 318 niter:328550  1717m 50s (- 1285m 58s) completed: 57%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0475  acc: 0.6057  lr: 0.0000 
ep/it:857- 368 niter:328600  1718m 4s (- 1285m 41s) completed: 57%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0458  acc: 0.6004  lr: 0.0000 
Validation loss:1.521, accuracy:0.581
ep/it:858-  35 niter:328650  1718m 21s (- 1285m 26s) completed: 57%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0467  acc: 0.5984  lr: 0.0000 
ep/it:858-  85 niter:328700  1718m 35s (- 1285m 9s) completed: 57%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0474  acc: 0.5971  lr: 0.0000 
ep/it:858- 135 niter:328750  1718m 50s (- 1284m 52s) completed: 57%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0468  acc: 0.6039  lr: 0.0000 
ep/it:858- 185 niter:328800  1719m 3s (- 1284m 35s) completed: 57%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0468  acc: 0.5984  lr: 0.0000 
ep/it:858- 235 niter:328850  1719m 18s (- 1284m 18s) completed: 57%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0453  acc: 0.5982  lr: 0.0000 
ep/it:858- 285 niter:328900  1719m 32s (- 1284m 1s) completed: 57%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0473  acc: 0.6009  lr: 0.0000 
ep/it:858- 335 niter:328950  1719m 46s (- 1283m 44s) completed: 57%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0454  acc: 0.6044  lr: 0.0000 
Validation loss:1.591, accuracy:0.564
ep/it:859-   2 niter:329000  1720m 2s (- 1283m 29s) completed: 57%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0449  acc: 0.5990  lr: 0.0000 
ep/it:859-  52 niter:329050  1720m 17s (- 1283m 13s) completed: 57%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0465  acc: 0.6002  lr: 0.0000 
ep/it:859- 102 niter:329100  1720m 31s (- 1282m 56s) completed: 57%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0478  acc: 0.6011  lr: 0.0000 
ep/it:859- 152 niter:329150  1720m 45s (- 1282m 39s) completed: 57%) loss_emb: 0.0000  loss: 1.3511  loss_TTT: 0.0467  acc: 0.6074  lr: 0.0000 
ep/it:859- 202 niter:329200  1720m 59s (- 1282m 22s) completed: 57%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0461  acc: 0.6055  lr: 0.0000 
ep/it:859- 252 niter:329250  1721m 13s (- 1282m 5s) completed: 57%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0440  acc: 0.5999  lr: 0.0000 
ep/it:859- 302 niter:329300  1721m 27s (- 1281m 48s) completed: 57%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0462  acc: 0.5993  lr: 0.0000 
ep/it:859- 352 niter:329350  1721m 41s (- 1281m 31s) completed: 57%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0444  acc: 0.5974  lr: 0.0000 
Validation loss:1.597, accuracy:0.562

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100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.7369334558025 avg: 38.7369334558025
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.48458060901612 avg: 38.61075703240931
--> 	 Eva. Repeat 0 :, FID. 0.0965, Diversity Real. 9.1661, Diversity. 9.3198, R_precision_real. [0.52148438 0.71679688 0.8046875 ], R_precision. [0.51855469 0.70507812 0.79199219], matching_score_real. 2.9106, matching_score_pred. 2.9225, skate_ratio. 0.0505, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0132 (kps_fail_50cm (Loc. err)): 0.0018 (kps_mean_err(m) (Avg. err)): 0.0282 
ep/it:860-  19 niter:329400  1723m 16s (- 1282m 15s) completed: 57%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0457  acc: 0.5984  lr: 0.0000 
ep/it:860-  69 niter:329450  1723m 30s (- 1281m 58s) completed: 57%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0473  acc: 0.6034  lr: 0.0000 
ep/it:860- 119 niter:329500  1723m 44s (- 1281m 41s) completed: 57%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0471  acc: 0.5974  lr: 0.0000 
ep/it:860- 169 niter:329550  1723m 58s (- 1281m 24s) completed: 57%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0461  acc: 0.6028  lr: 0.0000 
ep/it:860- 219 niter:329600  1724m 13s (- 1281m 7s) completed: 57%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0477  acc: 0.6000  lr: 0.0000 
ep/it:860- 269 niter:329650  1724m 27s (- 1280m 51s) completed: 57%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0475  acc: 0.5972  lr: 0.0000 
ep/it:860- 319 niter:329700  1724m 41s (- 1280m 34s) completed: 57%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0464  acc: 0.5957  lr: 0.0000 
ep/it:860- 369 niter:329750  1724m 56s (- 1280m 17s) completed: 57%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0457  acc: 0.5977  lr: 0.0000 
Validation loss:1.561, accuracy:0.572
ep/it:861-  36 niter:329800  1725m 13s (- 1280m 3s) completed: 57%) loss_emb: 0.0000  loss: 1.3449  loss_TTT: 0.0461  acc: 0.6090  lr: 0.0000 
ep/it:861-  86 niter:329850  1725m 27s (- 1279m 46s) completed: 57%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0467  acc: 0.5931  lr: 0.0000 
ep/it:861- 136 niter:329900  1725m 41s (- 1279m 29s) completed: 57%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0479  acc: 0.5925  lr: 0.0000 
ep/it:861- 186 niter:329950  1725m 55s (- 1279m 12s) completed: 57%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0463  acc: 0.6044  lr: 0.0000 
ep/it:861- 236 niter:330000  1726m 9s (- 1278m 55s) completed: 57%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0463  acc: 0.6013  lr: 0.0000 
ep/it:861- 286 niter:330050  1726m 24s (- 1278m 39s) completed: 57%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0456  acc: 0.5894  lr: 0.0000 
ep/it:861- 336 niter:330100  1726m 38s (- 1278m 22s) completed: 57%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0461  acc: 0.5979  lr: 0.0000 
Validation loss:1.582, accuracy:0.566
ep/it:862-   3 niter:330150  1726m 56s (- 1278m 8s) completed: 57%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0470  acc: 0.6013  lr: 0.0000 
ep/it:862-  53 niter:330200  1727m 10s (- 1277m 51s) completed: 57%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0471  acc: 0.6024  lr: 0.0000 
ep/it:862- 103 niter:330250  1727m 24s (- 1277m 34s) completed: 57%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0455  acc: 0.5991  lr: 0.0000 
ep/it:862- 153 niter:330300  1727m 38s (- 1277m 17s) completed: 57%) loss_emb: 0.0000  loss: 1.3433  loss_TTT: 0.0451  acc: 0.6103  lr: 0.0000 
ep/it:862- 203 niter:330350  1727m 53s (- 1277m 1s) completed: 57%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0458  acc: 0.6046  lr: 0.0000 
ep/it:862- 253 niter:330400  1728m 8s (- 1276m 45s) completed: 57%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0481  acc: 0.5966  lr: 0.0000 
ep/it:862- 303 niter:330450  1728m 22s (- 1276m 28s) completed: 57%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0471  acc: 0.5885  lr: 0.0000 
ep/it:862- 353 niter:330500  1728m 37s (- 1276m 11s) completed: 57%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0462  acc: 0.5968  lr: 0.0000 
Validation loss:1.589, accuracy:0.563
ep/it:863-  20 niter:330550  1728m 54s (- 1275m 57s) completed: 57%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0461  acc: 0.6038  lr: 0.0000 
ep/it:863-  70 niter:330600  1729m 9s (- 1275m 41s) completed: 57%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0474  acc: 0.5957  lr: 0.0000 
ep/it:863- 120 niter:330650  1729m 23s (- 1275m 24s) completed: 57%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0462  acc: 0.5973  lr: 0.0000 
ep/it:863- 170 niter:330700  1729m 38s (- 1275m 7s) completed: 57%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0467  acc: 0.5976  lr: 0.0000 
ep/it:863- 220 niter:330750  1729m 52s (- 1274m 51s) completed: 57%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0463  acc: 0.5987  lr: 0.0000 
ep/it:863- 270 niter:330800  1730m 7s (- 1274m 34s) completed: 57%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0466  acc: 0.6048  lr: 0.0000 
ep/it:863- 320 niter:330850  1730m 22s (- 1274m 18s) completed: 57%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0460  acc: 0.5978  lr: 0.0000 
ep/it:863- 370 niter:330900  1730m 36s (- 1274m 1s) completed: 57%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0464  acc: 0.5994  lr: 0.0000 
Validation loss:1.602, accuracy:0.561
ep/it:864-  37 niter:330950  1730m 53s (- 1273m 47s) completed: 57%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0461  acc: 0.6023  lr: 0.0000 
ep/it:864-  87 niter:331000  1731m 8s (- 1273m 30s) completed: 57%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0449  acc: 0.5983  lr: 0.0000 
ep/it:864- 137 niter:331050  1731m 23s (- 1273m 14s) completed: 57%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0471  acc: 0.5943  lr: 0.0000 
ep/it:864- 187 niter:331100  1731m 38s (- 1272m 58s) completed: 57%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0459  acc: 0.6050  lr: 0.0000 
ep/it:864- 237 niter:331150  1731m 52s (- 1272m 41s) completed: 57%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0451  acc: 0.5992  lr: 0.0000 
ep/it:864- 287 niter:331200  1732m 7s (- 1272m 24s) completed: 57%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0472  acc: 0.6058  lr: 0.0000 
ep/it:864- 337 niter:331250  1732m 22s (- 1272m 8s) completed: 57%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0466  acc: 0.6000  lr: 0.0000 
Validation loss:1.564, accuracy:0.570
ep/it:865-   4 niter:331300  1732m 39s (- 1271m 54s) completed: 57%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0463  acc: 0.5980  lr: 0.0000 
ep/it:865-  54 niter:331350  1732m 54s (- 1271m 37s) completed: 57%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0465  acc: 0.5919  lr: 0.0000 
ep/it:865- 104 niter:331400  1733m 8s (- 1271m 21s) completed: 57%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0472  acc: 0.6047  lr: 0.0000 
ep/it:865- 154 niter:331450  1733m 22s (- 1271m 4s) completed: 57%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0461  acc: 0.5970  lr: 0.0000 
ep/it:865- 204 niter:331500  1733m 37s (- 1270m 48s) completed: 57%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0468  acc: 0.5908  lr: 0.0000 
ep/it:865- 254 niter:331550  1733m 52s (- 1270m 32s) completed: 57%) loss_emb: 0.0000  loss: 1.3520  loss_TTT: 0.0467  acc: 0.6072  lr: 0.0000 
ep/it:865- 304 niter:331600  1734m 7s (- 1270m 15s) completed: 57%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0464  acc: 0.6026  lr: 0.0000 
ep/it:865- 354 niter:331650  1734m 21s (- 1269m 59s) completed: 57%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0465  acc: 0.6004  lr: 0.0000 
Validation loss:1.558, accuracy:0.571
ep/it:866-  21 niter:331700  1734m 39s (- 1269m 44s) completed: 57%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0486  acc: 0.5941  lr: 0.0000 
ep/it:866-  71 niter:331750  1734m 53s (- 1269m 28s) completed: 57%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0474  acc: 0.5998  lr: 0.0000 
ep/it:866- 121 niter:331800  1735m 8s (- 1269m 11s) completed: 57%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0463  acc: 0.5942  lr: 0.0000 
ep/it:866- 171 niter:331850  1735m 22s (- 1268m 55s) completed: 57%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0465  acc: 0.6018  lr: 0.0000 
ep/it:866- 221 niter:331900  1735m 37s (- 1268m 38s) completed: 57%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0452  acc: 0.5971  lr: 0.0000 
ep/it:866- 271 niter:331950  1735m 51s (- 1268m 21s) completed: 57%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0480  acc: 0.6000  lr: 0.0000 
ep/it:866- 321 niter:332000  1736m 7s (- 1268m 5s) completed: 57%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0454  acc: 0.5945  lr: 0.0000 
ep/it:866- 371 niter:332050  1736m 22s (- 1267m 49s) completed: 57%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0458  acc: 0.6052  lr: 0.0000 
Validation loss:1.520, accuracy:0.582
ep/it:867-  38 niter:332100  1736m 38s (- 1267m 34s) completed: 57%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0460  acc: 0.6063  lr: 0.0000 
ep/it:867-  88 niter:332150  1736m 53s (- 1267m 18s) completed: 57%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0467  acc: 0.5983  lr: 0.0000 
ep/it:867- 138 niter:332200  1737m 8s (- 1267m 2s) completed: 57%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0468  acc: 0.5986  lr: 0.0000 
ep/it:867- 188 niter:332250  1737m 22s (- 1266m 45s) completed: 57%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0454  acc: 0.6067  lr: 0.0000 
ep/it:867- 238 niter:332300  1737m 37s (- 1266m 29s) completed: 57%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0458  acc: 0.6032  lr: 0.0000 
ep/it:867- 288 niter:332350  1737m 52s (- 1266m 12s) completed: 57%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0473  acc: 0.6038  lr: 0.0000 
ep/it:867- 338 niter:332400  1738m 6s (- 1265m 55s) completed: 57%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0470  acc: 0.6001  lr: 0.0000 
Validation loss:1.590, accuracy:0.563
ep/it:868-   5 niter:332450  1738m 23s (- 1265m 41s) completed: 57%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0468  acc: 0.5962  lr: 0.0000 
ep/it:868-  55 niter:332500  1738m 37s (- 1265m 24s) completed: 57%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0467  acc: 0.5950  lr: 0.0000 
ep/it:868- 105 niter:332550  1738m 52s (- 1265m 7s) completed: 57%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0459  acc: 0.6020  lr: 0.0000 
ep/it:868- 155 niter:332600  1739m 6s (- 1264m 51s) completed: 57%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0446  acc: 0.6009  lr: 0.0000 
ep/it:868- 205 niter:332650  1739m 21s (- 1264m 34s) completed: 57%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0469  acc: 0.5975  lr: 0.0000 
ep/it:868- 255 niter:332700  1739m 35s (- 1264m 18s) completed: 57%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0453  acc: 0.6029  lr: 0.0000 
ep/it:868- 305 niter:332750  1739m 50s (- 1264m 1s) completed: 57%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0458  acc: 0.6040  lr: 0.0000 
ep/it:868- 355 niter:332800  1740m 4s (- 1263m 45s) completed: 57%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0454  acc: 0.5955  lr: 0.0000 
Validation loss:1.573, accuracy:0.566
ep/it:869-  22 niter:332850  1740m 22s (- 1263m 30s) completed: 57%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0474  acc: 0.6021  lr: 0.0000 
ep/it:869-  72 niter:332900  1740m 36s (- 1263m 13s) completed: 57%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0466  acc: 0.5883  lr: 0.0000 
ep/it:869- 122 niter:332950  1740m 51s (- 1262m 57s) completed: 57%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0473  acc: 0.6021  lr: 0.0000 
ep/it:869- 172 niter:333000  1741m 6s (- 1262m 41s) completed: 57%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0458  acc: 0.5961  lr: 0.0000 
ep/it:869- 222 niter:333050  1741m 20s (- 1262m 25s) completed: 57%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0476  acc: 0.5954  lr: 0.0000 
ep/it:869- 272 niter:333100  1741m 35s (- 1262m 8s) completed: 57%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0462  acc: 0.6013  lr: 0.0000 
ep/it:869- 322 niter:333150  1741m 50s (- 1261m 52s) completed: 57%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0469  acc: 0.6063  lr: 0.0000 
ep/it:869- 372 niter:333200  1742m 5s (- 1261m 36s) completed: 57%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0470  acc: 0.6021  lr: 0.0000 
Validation loss:1.604, accuracy:0.560

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 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.04114289954305 avg: 39.04114289954305
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.448067892342806 avg: 38.744605395942926
--> 	 Eva. Repeat 0 :, FID. 0.0718, Diversity Real. 9.7590, Diversity. 9.5465, R_precision_real. [0.52929688 0.70507812 0.80078125], R_precision. [0.51855469 0.72363281 0.81738281], matching_score_real. 2.9153, matching_score_pred. 2.9078, skate_ratio. 0.0490, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0615 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0106 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0272 
ep/it:870-  39 niter:333250  1743m 41s (- 1262m 18s) completed: 58%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0466  acc: 0.5973  lr: 0.0000 
ep/it:870-  89 niter:333300  1743m 55s (- 1262m 2s) completed: 58%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0465  acc: 0.5980  lr: 0.0000 
ep/it:870- 139 niter:333350  1744m 10s (- 1261m 45s) completed: 58%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0487  acc: 0.5981  lr: 0.0000 
ep/it:870- 189 niter:333400  1744m 24s (- 1261m 28s) completed: 58%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0467  acc: 0.5986  lr: 0.0000 
ep/it:870- 239 niter:333450  1744m 39s (- 1261m 12s) completed: 58%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0459  acc: 0.6034  lr: 0.0000 
ep/it:870- 289 niter:333500  1744m 53s (- 1260m 55s) completed: 58%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0450  acc: 0.5994  lr: 0.0000 
ep/it:870- 339 niter:333550  1745m 8s (- 1260m 39s) completed: 58%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0470  acc: 0.5992  lr: 0.0000 
Validation loss:1.621, accuracy:0.557
ep/it:871-   6 niter:333600  1745m 26s (- 1260m 25s) completed: 58%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0445  acc: 0.6056  lr: 0.0000 
ep/it:871-  56 niter:333650  1745m 40s (- 1260m 8s) completed: 58%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0450  acc: 0.6069  lr: 0.0000 
ep/it:871- 106 niter:333700  1745m 54s (- 1259m 51s) completed: 58%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0451  acc: 0.6031  lr: 0.0000 
ep/it:871- 156 niter:333750  1746m 9s (- 1259m 35s) completed: 58%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0451  acc: 0.5958  lr: 0.0000 
ep/it:871- 206 niter:333800  1746m 23s (- 1259m 18s) completed: 58%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0460  acc: 0.6009  lr: 0.0000 
ep/it:871- 256 niter:333850  1746m 37s (- 1259m 1s) completed: 58%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0454  acc: 0.6062  lr: 0.0000 
ep/it:871- 306 niter:333900  1746m 52s (- 1258m 45s) completed: 58%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0450  acc: 0.5984  lr: 0.0000 
ep/it:871- 356 niter:333950  1747m 6s (- 1258m 28s) completed: 58%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0467  acc: 0.5939  lr: 0.0000 
Validation loss:1.569, accuracy:0.568
ep/it:872-  23 niter:334000  1747m 23s (- 1258m 13s) completed: 58%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0464  acc: 0.6025  lr: 0.0000 
ep/it:872-  73 niter:334050  1747m 38s (- 1257m 57s) completed: 58%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0460  acc: 0.5986  lr: 0.0000 
ep/it:872- 123 niter:334100  1747m 53s (- 1257m 41s) completed: 58%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0438  acc: 0.6001  lr: 0.0000 
ep/it:872- 173 niter:334150  1748m 7s (- 1257m 24s) completed: 58%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0462  acc: 0.5999  lr: 0.0000 
ep/it:872- 223 niter:334200  1748m 21s (- 1257m 7s) completed: 58%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0469  acc: 0.5997  lr: 0.0000 
ep/it:872- 273 niter:334250  1748m 36s (- 1256m 51s) completed: 58%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0448  acc: 0.5962  lr: 0.0000 
ep/it:872- 323 niter:334300  1748m 50s (- 1256m 34s) completed: 58%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0474  acc: 0.5956  lr: 0.0000 
ep/it:872- 373 niter:334350  1749m 5s (- 1256m 17s) completed: 58%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0466  acc: 0.5958  lr: 0.0000 
Validation loss:1.549, accuracy:0.575
ep/it:873-  40 niter:334400  1749m 22s (- 1256m 3s) completed: 58%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0459  acc: 0.6050  lr: 0.0000 
ep/it:873-  90 niter:334450  1749m 36s (- 1255m 46s) completed: 58%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0460  acc: 0.5905  lr: 0.0000 
ep/it:873- 140 niter:334500  1749m 52s (- 1255m 30s) completed: 58%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0464  acc: 0.6013  lr: 0.0000 
ep/it:873- 190 niter:334550  1750m 7s (- 1255m 14s) completed: 58%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0460  acc: 0.5969  lr: 0.0000 
ep/it:873- 240 niter:334600  1750m 21s (- 1254m 57s) completed: 58%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0459  acc: 0.6001  lr: 0.0000 
ep/it:873- 290 niter:334650  1750m 35s (- 1254m 41s) completed: 58%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0458  acc: 0.6019  lr: 0.0000 
ep/it:873- 340 niter:334700  1750m 50s (- 1254m 24s) completed: 58%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0470  acc: 0.6026  lr: 0.0000 
Validation loss:1.594, accuracy:0.561
ep/it:874-   7 niter:334750  1751m 7s (- 1254m 9s) completed: 58%) loss_emb: 0.0000  loss: 1.3515  loss_TTT: 0.0479  acc: 0.6068  lr: 0.0000 
ep/it:874-  57 niter:334800  1751m 22s (- 1253m 53s) completed: 58%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0474  acc: 0.6008  lr: 0.0000 
ep/it:874- 107 niter:334850  1751m 37s (- 1253m 37s) completed: 58%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0467  acc: 0.6028  lr: 0.0000 
ep/it:874- 157 niter:334900  1751m 51s (- 1253m 20s) completed: 58%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0460  acc: 0.5976  lr: 0.0000 
ep/it:874- 207 niter:334950  1752m 5s (- 1253m 4s) completed: 58%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0444  acc: 0.5981  lr: 0.0000 
ep/it:874- 257 niter:335000  1752m 20s (- 1252m 47s) completed: 58%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0462  acc: 0.5989  lr: 0.0000 
ep/it:874- 307 niter:335050  1752m 35s (- 1252m 31s) completed: 58%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0463  acc: 0.6053  lr: 0.0000 
ep/it:874- 357 niter:335100  1752m 50s (- 1252m 14s) completed: 58%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0473  acc: 0.5975  lr: 0.0000 
Validation loss:1.560, accuracy:0.571
ep/it:875-  24 niter:335150  1753m 7s (- 1252m 0s) completed: 58%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0451  acc: 0.6001  lr: 0.0000 
ep/it:875-  74 niter:335200  1753m 22s (- 1251m 44s) completed: 58%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0469  acc: 0.5944  lr: 0.0000 
ep/it:875- 124 niter:335250  1753m 36s (- 1251m 27s) completed: 58%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0465  acc: 0.5917  lr: 0.0000 
ep/it:875- 174 niter:335300  1753m 51s (- 1251m 11s) completed: 58%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0455  acc: 0.6009  lr: 0.0000 
ep/it:875- 224 niter:335350  1754m 5s (- 1250m 54s) completed: 58%) loss_emb: 0.0000  loss: 1.3443  loss_TTT: 0.0447  acc: 0.6108  lr: 0.0000 
ep/it:875- 274 niter:335400  1754m 19s (- 1250m 37s) completed: 58%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0480  acc: 0.6083  lr: 0.0000 
ep/it:875- 324 niter:335450  1754m 34s (- 1250m 21s) completed: 58%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0477  acc: 0.6041  lr: 0.0000 
ep/it:875- 374 niter:335500  1754m 49s (- 1250m 5s) completed: 58%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0452  acc: 0.5998  lr: 0.0000 
Validation loss:1.543, accuracy:0.576
ep/it:876-  41 niter:335550  1755m 6s (- 1249m 50s) completed: 58%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0458  acc: 0.5975  lr: 0.0000 
ep/it:876-  91 niter:335600  1755m 21s (- 1249m 33s) completed: 58%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0461  acc: 0.5977  lr: 0.0000 
ep/it:876- 141 niter:335650  1755m 35s (- 1249m 17s) completed: 58%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0466  acc: 0.5991  lr: 0.0000 
ep/it:876- 191 niter:335700  1755m 49s (- 1249m 0s) completed: 58%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0455  acc: 0.6062  lr: 0.0000 
ep/it:876- 241 niter:335750  1756m 3s (- 1248m 43s) completed: 58%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0453  acc: 0.5911  lr: 0.0000 
ep/it:876- 291 niter:335800  1756m 18s (- 1248m 27s) completed: 58%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0479  acc: 0.6051  lr: 0.0000 
ep/it:876- 341 niter:335850  1756m 33s (- 1248m 10s) completed: 58%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0476  acc: 0.6009  lr: 0.0000 
Validation loss:1.555, accuracy:0.573
ep/it:877-   8 niter:335900  1756m 50s (- 1247m 56s) completed: 58%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0456  acc: 0.6070  lr: 0.0000 
ep/it:877-  58 niter:335950  1757m 5s (- 1247m 40s) completed: 58%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0462  acc: 0.6014  lr: 0.0000 
ep/it:877- 108 niter:336000  1757m 19s (- 1247m 23s) completed: 58%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0455  acc: 0.6023  lr: 0.0000 
ep/it:877- 158 niter:336050  1757m 34s (- 1247m 6s) completed: 58%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0449  acc: 0.6015  lr: 0.0000 
ep/it:877- 208 niter:336100  1757m 48s (- 1246m 50s) completed: 58%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0463  acc: 0.5974  lr: 0.0000 
ep/it:877- 258 niter:336150  1758m 3s (- 1246m 34s) completed: 58%) loss_emb: 0.0000  loss: 1.3514  loss_TTT: 0.0479  acc: 0.6083  lr: 0.0000 
ep/it:877- 308 niter:336200  1758m 17s (- 1246m 17s) completed: 58%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0459  acc: 0.6048  lr: 0.0000 
ep/it:877- 358 niter:336250  1758m 32s (- 1246m 0s) completed: 58%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0453  acc: 0.6024  lr: 0.0000 
Validation loss:1.569, accuracy:0.569
ep/it:878-  25 niter:336300  1758m 49s (- 1245m 46s) completed: 58%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0474  acc: 0.6007  lr: 0.0000 
ep/it:878-  75 niter:336350  1759m 3s (- 1245m 29s) completed: 58%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0466  acc: 0.6007  lr: 0.0000 
ep/it:878- 125 niter:336400  1759m 17s (- 1245m 12s) completed: 58%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0470  acc: 0.5993  lr: 0.0000 
ep/it:878- 175 niter:336450  1759m 31s (- 1244m 55s) completed: 58%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0458  acc: 0.6018  lr: 0.0000 
ep/it:878- 225 niter:336500  1759m 46s (- 1244m 38s) completed: 58%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0469  acc: 0.5984  lr: 0.0000 
ep/it:878- 275 niter:336550  1760m 1s (- 1244m 22s) completed: 58%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0444  acc: 0.6094  lr: 0.0000 
ep/it:878- 325 niter:336600  1760m 15s (- 1244m 6s) completed: 58%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0472  acc: 0.6063  lr: 0.0000 
ep/it:878- 375 niter:336650  1760m 30s (- 1243m 49s) completed: 58%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0451  acc: 0.5982  lr: 0.0000 
Validation loss:1.554, accuracy:0.573
ep/it:879-  42 niter:336700  1760m 46s (- 1243m 34s) completed: 58%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0450  acc: 0.6026  lr: 0.0000 
ep/it:879-  92 niter:336750  1761m 1s (- 1243m 18s) completed: 58%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0457  acc: 0.6021  lr: 0.0000 
ep/it:879- 142 niter:336800  1761m 15s (- 1243m 1s) completed: 58%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0453  acc: 0.6048  lr: 0.0000 
ep/it:879- 192 niter:336850  1761m 30s (- 1242m 45s) completed: 58%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0477  acc: 0.6000  lr: 0.0000 
ep/it:879- 242 niter:336900  1761m 44s (- 1242m 28s) completed: 58%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0467  acc: 0.6008  lr: 0.0000 
ep/it:879- 292 niter:336950  1761m 58s (- 1242m 11s) completed: 58%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0462  acc: 0.6019  lr: 0.0000 
ep/it:879- 342 niter:337000  1762m 13s (- 1241m 55s) completed: 58%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0457  acc: 0.5969  lr: 0.0000 
Validation loss:1.546, accuracy:0.575

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.84it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.90352500230074 avg: 38.90352500230074
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.790209878236055 avg: 38.8468674402684
--> 	 Eva. Repeat 0 :, FID. 0.0775, Diversity Real. 9.4387, Diversity. 9.5873, R_precision_real. [0.5078125  0.69628906 0.78808594], R_precision. [0.50292969 0.69433594 0.78710938], matching_score_real. 2.9422, matching_score_pred. 2.9820, skate_ratio. 0.0514, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0518 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0085 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0279 
ep/it:880-   9 niter:337050  1763m 49s (- 1242m 36s) completed: 58%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0462  acc: 0.6005  lr: 0.0000 
ep/it:880-  59 niter:337100  1764m 3s (- 1242m 19s) completed: 58%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0468  acc: 0.6003  lr: 0.0000 
ep/it:880- 109 niter:337150  1764m 17s (- 1242m 2s) completed: 58%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0466  acc: 0.6008  lr: 0.0000 
ep/it:880- 159 niter:337200  1764m 32s (- 1241m 46s) completed: 58%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0460  acc: 0.6000  lr: 0.0000 
ep/it:880- 209 niter:337250  1764m 46s (- 1241m 29s) completed: 58%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0457  acc: 0.5944  lr: 0.0000 
ep/it:880- 259 niter:337300  1765m 0s (- 1241m 12s) completed: 58%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0452  acc: 0.6036  lr: 0.0000 
ep/it:880- 309 niter:337350  1765m 14s (- 1240m 55s) completed: 58%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0444  acc: 0.6024  lr: 0.0000 
ep/it:880- 359 niter:337400  1765m 28s (- 1240m 39s) completed: 58%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0457  acc: 0.6097  lr: 0.0000 
Validation loss:1.574, accuracy:0.567
ep/it:881-  26 niter:337450  1765m 46s (- 1240m 24s) completed: 58%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0479  acc: 0.5930  lr: 0.0000 
ep/it:881-  76 niter:337500  1766m 0s (- 1240m 7s) completed: 58%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0447  acc: 0.5953  lr: 0.0000 
ep/it:881- 126 niter:337550  1766m 15s (- 1239m 51s) completed: 58%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0462  acc: 0.5975  lr: 0.0000 
ep/it:881- 176 niter:337600  1766m 29s (- 1239m 34s) completed: 58%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0444  acc: 0.6016  lr: 0.0000 
ep/it:881- 226 niter:337650  1766m 44s (- 1239m 18s) completed: 58%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0465  acc: 0.6032  lr: 0.0000 
ep/it:881- 276 niter:337700  1766m 58s (- 1239m 1s) completed: 58%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0470  acc: 0.6028  lr: 0.0000 
ep/it:881- 326 niter:337750  1767m 11s (- 1238m 44s) completed: 58%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0458  acc: 0.5983  lr: 0.0000 
ep/it:881- 376 niter:337800  1767m 26s (- 1238m 27s) completed: 58%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0456  acc: 0.5923  lr: 0.0000 
Validation loss:1.585, accuracy:0.564
ep/it:882-  43 niter:337850  1767m 43s (- 1238m 13s) completed: 58%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0467  acc: 0.5967  lr: 0.0000 
ep/it:882-  93 niter:337900  1767m 57s (- 1237m 56s) completed: 58%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0475  acc: 0.5977  lr: 0.0000 
ep/it:882- 143 niter:337950  1768m 11s (- 1237m 39s) completed: 58%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0449  acc: 0.5987  lr: 0.0000 
ep/it:882- 193 niter:338000  1768m 26s (- 1237m 22s) completed: 58%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0464  acc: 0.6027  lr: 0.0000 
ep/it:882- 243 niter:338050  1768m 41s (- 1237m 6s) completed: 58%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0461  acc: 0.6003  lr: 0.0000 
ep/it:882- 293 niter:338100  1768m 55s (- 1236m 50s) completed: 58%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0472  acc: 0.5986  lr: 0.0000 
ep/it:882- 343 niter:338150  1769m 9s (- 1236m 33s) completed: 58%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0455  acc: 0.6031  lr: 0.0000 
Validation loss:1.581, accuracy:0.565
ep/it:883-  10 niter:338200  1769m 26s (- 1236m 18s) completed: 58%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0467  acc: 0.6048  lr: 0.0000 
ep/it:883-  60 niter:338250  1769m 40s (- 1236m 1s) completed: 58%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0445  acc: 0.6005  lr: 0.0000 
ep/it:883- 110 niter:338300  1769m 54s (- 1235m 44s) completed: 58%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0452  acc: 0.5996  lr: 0.0000 
ep/it:883- 160 niter:338350  1770m 9s (- 1235m 28s) completed: 58%) loss_emb: 0.0000  loss: 1.3620  loss_TTT: 0.0485  acc: 0.6048  lr: 0.0000 
ep/it:883- 210 niter:338400  1770m 23s (- 1235m 11s) completed: 58%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0452  acc: 0.6024  lr: 0.0000 
ep/it:883- 260 niter:338450  1770m 37s (- 1234m 54s) completed: 58%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0469  acc: 0.5959  lr: 0.0000 
ep/it:883- 310 niter:338500  1770m 52s (- 1234m 38s) completed: 58%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0458  acc: 0.6006  lr: 0.0000 
ep/it:883- 360 niter:338550  1771m 6s (- 1234m 21s) completed: 58%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0470  acc: 0.6018  lr: 0.0000 
Validation loss:1.563, accuracy:0.570
ep/it:884-  27 niter:338600  1771m 22s (- 1234m 6s) completed: 58%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0473  acc: 0.5930  lr: 0.0000 
ep/it:884-  77 niter:338650  1771m 36s (- 1233m 49s) completed: 58%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0489  acc: 0.6006  lr: 0.0000 
ep/it:884- 127 niter:338700  1771m 50s (- 1233m 32s) completed: 58%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0460  acc: 0.6012  lr: 0.0000 
ep/it:884- 177 niter:338750  1772m 4s (- 1233m 15s) completed: 58%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0460  acc: 0.6030  lr: 0.0000 
ep/it:884- 227 niter:338800  1772m 19s (- 1232m 59s) completed: 58%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0455  acc: 0.6040  lr: 0.0000 
ep/it:884- 277 niter:338850  1772m 33s (- 1232m 42s) completed: 58%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0463  acc: 0.6027  lr: 0.0000 
ep/it:884- 327 niter:338900  1772m 48s (- 1232m 26s) completed: 58%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0454  acc: 0.5923  lr: 0.0000 
ep/it:884- 377 niter:338950  1773m 2s (- 1232m 9s) completed: 58%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0468  acc: 0.5951  lr: 0.0000 
Validation loss:1.558, accuracy:0.572
ep/it:885-  44 niter:339000  1773m 19s (- 1231m 54s) completed: 59%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0473  acc: 0.6019  lr: 0.0000 
ep/it:885-  94 niter:339050  1773m 33s (- 1231m 38s) completed: 59%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0462  acc: 0.5970  lr: 0.0000 
ep/it:885- 144 niter:339100  1773m 48s (- 1231m 21s) completed: 59%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0470  acc: 0.5968  lr: 0.0000 
ep/it:885- 194 niter:339150  1774m 3s (- 1231m 5s) completed: 59%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0455  acc: 0.6004  lr: 0.0000 
ep/it:885- 244 niter:339200  1774m 17s (- 1230m 48s) completed: 59%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0457  acc: 0.5992  lr: 0.0000 
ep/it:885- 294 niter:339250  1774m 32s (- 1230m 32s) completed: 59%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0469  acc: 0.5962  lr: 0.0000 
ep/it:885- 344 niter:339300  1774m 46s (- 1230m 15s) completed: 59%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0468  acc: 0.5983  lr: 0.0000 
Validation loss:1.560, accuracy:0.571
ep/it:886-  11 niter:339350  1775m 3s (- 1230m 1s) completed: 59%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0452  acc: 0.5957  lr: 0.0000 
ep/it:886-  61 niter:339400  1775m 18s (- 1229m 44s) completed: 59%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0466  acc: 0.5943  lr: 0.0000 
ep/it:886- 111 niter:339450  1775m 33s (- 1229m 28s) completed: 59%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0467  acc: 0.5980  lr: 0.0000 
ep/it:886- 161 niter:339500  1775m 47s (- 1229m 11s) completed: 59%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0456  acc: 0.6053  lr: 0.0000 
ep/it:886- 211 niter:339550  1776m 2s (- 1228m 55s) completed: 59%) loss_emb: 0.0000  loss: 1.3429  loss_TTT: 0.0460  acc: 0.6087  lr: 0.0000 
ep/it:886- 261 niter:339600  1776m 17s (- 1228m 38s) completed: 59%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0453  acc: 0.5978  lr: 0.0000 
ep/it:886- 311 niter:339650  1776m 31s (- 1228m 22s) completed: 59%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0453  acc: 0.5936  lr: 0.0000 
ep/it:886- 361 niter:339700  1776m 45s (- 1228m 5s) completed: 59%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0482  acc: 0.5927  lr: 0.0000 
Validation loss:1.613, accuracy:0.559
ep/it:887-  28 niter:339750  1777m 2s (- 1227m 50s) completed: 59%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0461  acc: 0.6016  lr: 0.0000 
ep/it:887-  78 niter:339800  1777m 16s (- 1227m 34s) completed: 59%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0467  acc: 0.5974  lr: 0.0000 
ep/it:887- 128 niter:339850  1777m 31s (- 1227m 17s) completed: 59%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0462  acc: 0.6054  lr: 0.0000 
ep/it:887- 178 niter:339900  1777m 45s (- 1227m 1s) completed: 59%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0466  acc: 0.5955  lr: 0.0000 
ep/it:887- 228 niter:339950  1777m 59s (- 1226m 44s) completed: 59%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0502  acc: 0.6013  lr: 0.0000 
ep/it:887- 278 niter:340000  1778m 14s (- 1226m 27s) completed: 59%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0482  acc: 0.6029  lr: 0.0000 
ep/it:887- 328 niter:340050  1778m 29s (- 1226m 11s) completed: 59%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0469  acc: 0.5997  lr: 0.0000 
ep/it:887- 378 niter:340100  1778m 44s (- 1225m 55s) completed: 59%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0469  acc: 0.5994  lr: 0.0000 
Validation loss:1.580, accuracy:0.567
ep/it:888-  45 niter:340150  1779m 1s (- 1225m 40s) completed: 59%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0460  acc: 0.6076  lr: 0.0000 
ep/it:888-  95 niter:340200  1779m 15s (- 1225m 24s) completed: 59%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0469  acc: 0.6009  lr: 0.0000 
ep/it:888- 145 niter:340250  1779m 30s (- 1225m 7s) completed: 59%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0471  acc: 0.5971  lr: 0.0000 
ep/it:888- 195 niter:340300  1779m 44s (- 1224m 50s) completed: 59%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0482  acc: 0.5890  lr: 0.0000 
ep/it:888- 245 niter:340350  1779m 58s (- 1224m 34s) completed: 59%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0475  acc: 0.6000  lr: 0.0000 
ep/it:888- 295 niter:340400  1780m 13s (- 1224m 17s) completed: 59%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0475  acc: 0.6010  lr: 0.0000 
ep/it:888- 345 niter:340450  1780m 27s (- 1224m 0s) completed: 59%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0472  acc: 0.6070  lr: 0.0000 
Validation loss:1.597, accuracy:0.561
ep/it:889-  12 niter:340500  1780m 44s (- 1223m 45s) completed: 59%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0458  acc: 0.5982  lr: 0.0000 
ep/it:889-  62 niter:340550  1780m 59s (- 1223m 29s) completed: 59%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0468  acc: 0.5970  lr: 0.0000 
ep/it:889- 112 niter:340600  1781m 13s (- 1223m 13s) completed: 59%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0472  acc: 0.5894  lr: 0.0000 
ep/it:889- 162 niter:340650  1781m 27s (- 1222m 56s) completed: 59%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0473  acc: 0.5966  lr: 0.0000 
ep/it:889- 212 niter:340700  1781m 42s (- 1222m 39s) completed: 59%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0471  acc: 0.6034  lr: 0.0000 
ep/it:889- 262 niter:340750  1781m 56s (- 1222m 23s) completed: 59%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0489  acc: 0.5939  lr: 0.0000 
ep/it:889- 312 niter:340800  1782m 10s (- 1222m 6s) completed: 59%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0503  acc: 0.5910  lr: 0.0000 
ep/it:889- 362 niter:340850  1782m 25s (- 1221m 50s) completed: 59%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0534  acc: 0.5958  lr: 0.0000 
Validation loss:1.622, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.73it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.698926457203925 avg: 38.698926457203925
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.39612422790378 avg: 38.547525342553854
--> 	 Eva. Repeat 0 :, FID. 0.0820, Diversity Real. 9.4928, Diversity. 9.3735, R_precision_real. [0.53125    0.7109375  0.81152344], R_precision. [0.53027344 0.71582031 0.80664062], matching_score_real. 2.8582, matching_score_pred. 2.9148, skate_ratio. 0.0505, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0801 (traj_fail_50cm (Traj err)): 0.0127 (kps_fail_20cm): 0.0173 (kps_fail_50cm (Loc. err)): 0.0028 (kps_mean_err(m) (Avg. err)): 0.0329 
ep/it:890-  29 niter:340900  1784m 0s (- 1222m 29s) completed: 59%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0553  acc: 0.5937  lr: 0.0000 
ep/it:890-  79 niter:340950  1784m 14s (- 1222m 12s) completed: 59%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0524  acc: 0.5895  lr: 0.0000 
ep/it:890- 129 niter:341000  1784m 29s (- 1221m 55s) completed: 59%) loss_emb: 0.0000  loss: 1.4373  loss_TTT: 0.0521  acc: 0.5885  lr: 0.0000 
ep/it:890- 179 niter:341050  1784m 43s (- 1221m 39s) completed: 59%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0513  acc: 0.5978  lr: 0.0000 
ep/it:890- 229 niter:341100  1784m 58s (- 1221m 22s) completed: 59%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0492  acc: 0.6053  lr: 0.0000 
ep/it:890- 279 niter:341150  1785m 12s (- 1221m 6s) completed: 59%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0505  acc: 0.5954  lr: 0.0000 
ep/it:890- 329 niter:341200  1785m 27s (- 1220m 50s) completed: 59%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0514  acc: 0.5975  lr: 0.0000 
ep/it:890- 379 niter:341250  1785m 41s (- 1220m 33s) completed: 59%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0543  acc: 0.5914  lr: 0.0000 
Validation loss:1.581, accuracy:0.571
ep/it:891-  46 niter:341300  1785m 58s (- 1220m 18s) completed: 59%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0500  acc: 0.6001  lr: 0.0000 
ep/it:891-  96 niter:341350  1786m 13s (- 1220m 2s) completed: 59%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0520  acc: 0.5984  lr: 0.0000 
ep/it:891- 146 niter:341400  1786m 27s (- 1219m 45s) completed: 59%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0520  acc: 0.5945  lr: 0.0000 
ep/it:891- 196 niter:341450  1786m 42s (- 1219m 28s) completed: 59%) loss_emb: 0.0000  loss: 1.4442  loss_TTT: 0.0518  acc: 0.5852  lr: 0.0000 
ep/it:891- 246 niter:341500  1786m 56s (- 1219m 12s) completed: 59%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0507  acc: 0.6012  lr: 0.0000 
ep/it:891- 296 niter:341550  1787m 11s (- 1218m 55s) completed: 59%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0515  acc: 0.5999  lr: 0.0000 
ep/it:891- 346 niter:341600  1787m 25s (- 1218m 39s) completed: 59%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0522  acc: 0.5993  lr: 0.0000 
Validation loss:1.623, accuracy:0.558
ep/it:892-  13 niter:341650  1787m 42s (- 1218m 24s) completed: 59%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0542  acc: 0.5961  lr: 0.0000 
ep/it:892-  63 niter:341700  1787m 57s (- 1218m 7s) completed: 59%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0509  acc: 0.5919  lr: 0.0000 
ep/it:892- 113 niter:341750  1788m 11s (- 1217m 51s) completed: 59%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0492  acc: 0.5978  lr: 0.0000 
ep/it:892- 163 niter:341800  1788m 26s (- 1217m 34s) completed: 59%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0501  acc: 0.5968  lr: 0.0000 
ep/it:892- 213 niter:341850  1788m 40s (- 1217m 18s) completed: 59%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0519  acc: 0.6006  lr: 0.0000 
ep/it:892- 263 niter:341900  1788m 55s (- 1217m 1s) completed: 59%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0512  acc: 0.5971  lr: 0.0000 
ep/it:892- 313 niter:341950  1789m 10s (- 1216m 45s) completed: 59%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0499  acc: 0.6019  lr: 0.0000 
ep/it:892- 363 niter:342000  1789m 24s (- 1216m 29s) completed: 59%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0494  acc: 0.6010  lr: 0.0000 
Validation loss:1.578, accuracy:0.568
ep/it:893-  30 niter:342050  1789m 41s (- 1216m 14s) completed: 59%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0505  acc: 0.5945  lr: 0.0000 
ep/it:893-  80 niter:342100  1789m 56s (- 1215m 57s) completed: 59%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0521  acc: 0.5965  lr: 0.0000 
ep/it:893- 130 niter:342150  1790m 10s (- 1215m 41s) completed: 59%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0518  acc: 0.5959  lr: 0.0000 
ep/it:893- 180 niter:342200  1790m 24s (- 1215m 24s) completed: 59%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0480  acc: 0.6075  lr: 0.0000 
ep/it:893- 230 niter:342250  1790m 38s (- 1215m 7s) completed: 59%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0490  acc: 0.5981  lr: 0.0000 
ep/it:893- 280 niter:342300  1790m 53s (- 1214m 50s) completed: 59%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0498  acc: 0.5951  lr: 0.0000 
ep/it:893- 330 niter:342350  1791m 7s (- 1214m 34s) completed: 59%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0492  acc: 0.6041  lr: 0.0000 
ep/it:893- 380 niter:342400  1791m 21s (- 1214m 17s) completed: 59%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0518  acc: 0.5990  lr: 0.0000 
Validation loss:1.607, accuracy:0.564
ep/it:894-  47 niter:342450  1791m 38s (- 1214m 2s) completed: 59%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0505  acc: 0.5971  lr: 0.0000 
ep/it:894-  97 niter:342500  1791m 52s (- 1213m 45s) completed: 59%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0524  acc: 0.6042  lr: 0.0000 
ep/it:894- 147 niter:342550  1792m 6s (- 1213m 29s) completed: 59%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0504  acc: 0.5941  lr: 0.0000 
ep/it:894- 197 niter:342600  1792m 21s (- 1213m 13s) completed: 59%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0504  acc: 0.6002  lr: 0.0000 
ep/it:894- 247 niter:342650  1792m 36s (- 1212m 56s) completed: 59%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0480  acc: 0.5984  lr: 0.0000 
ep/it:894- 297 niter:342700  1792m 50s (- 1212m 40s) completed: 59%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0498  acc: 0.5963  lr: 0.0000 
ep/it:894- 347 niter:342750  1793m 4s (- 1212m 23s) completed: 59%) loss_emb: 0.0000  loss: 1.4317  loss_TTT: 0.0523  acc: 0.5868  lr: 0.0000 
Validation loss:1.574, accuracy:0.568
ep/it:895-  14 niter:342800  1793m 22s (- 1212m 8s) completed: 59%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0487  acc: 0.5963  lr: 0.0000 
ep/it:895-  64 niter:342850  1793m 35s (- 1211m 51s) completed: 59%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0512  acc: 0.6023  lr: 0.0000 
ep/it:895- 114 niter:342900  1793m 50s (- 1211m 35s) completed: 59%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0489  acc: 0.5969  lr: 0.0000 
ep/it:895- 164 niter:342950  1794m 4s (- 1211m 18s) completed: 59%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0481  acc: 0.6005  lr: 0.0000 
ep/it:895- 214 niter:343000  1794m 18s (- 1211m 1s) completed: 59%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0503  acc: 0.5990  lr: 0.0000 
ep/it:895- 264 niter:343050  1794m 33s (- 1210m 45s) completed: 59%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0503  acc: 0.5944  lr: 0.0000 
ep/it:895- 314 niter:343100  1794m 47s (- 1210m 28s) completed: 59%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0483  acc: 0.6015  lr: 0.0000 
ep/it:895- 364 niter:343150  1795m 1s (- 1210m 12s) completed: 59%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0484  acc: 0.6024  lr: 0.0000 
Validation loss:1.561, accuracy:0.574
ep/it:896-  31 niter:343200  1795m 19s (- 1209m 57s) completed: 59%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0517  acc: 0.5952  lr: 0.0000 
ep/it:896-  81 niter:343250  1795m 33s (- 1209m 41s) completed: 59%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0491  acc: 0.5970  lr: 0.0000 
ep/it:896- 131 niter:343300  1795m 48s (- 1209m 24s) completed: 59%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0494  acc: 0.5911  lr: 0.0000 
ep/it:896- 181 niter:343350  1796m 2s (- 1209m 7s) completed: 59%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0516  acc: 0.5982  lr: 0.0000 
ep/it:896- 231 niter:343400  1796m 17s (- 1208m 51s) completed: 59%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0486  acc: 0.5992  lr: 0.0000 
ep/it:896- 281 niter:343450  1796m 31s (- 1208m 34s) completed: 59%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0477  acc: 0.6035  lr: 0.0000 
ep/it:896- 331 niter:343500  1796m 46s (- 1208m 18s) completed: 59%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0489  acc: 0.6027  lr: 0.0000 
ep/it:896- 381 niter:343550  1797m 0s (- 1208m 2s) completed: 59%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0503  acc: 0.5945  lr: 0.0000 
Validation loss:1.570, accuracy:0.571
ep/it:897-  48 niter:343600  1797m 18s (- 1207m 47s) completed: 59%) loss_emb: 0.0000  loss: 1.3414  loss_TTT: 0.0462  acc: 0.6104  lr: 0.0000 
ep/it:897-  98 niter:343650  1797m 32s (- 1207m 30s) completed: 59%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0501  acc: 0.5923  lr: 0.0000 
ep/it:897- 148 niter:343700  1797m 46s (- 1207m 14s) completed: 59%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0478  acc: 0.5976  lr: 0.0000 
ep/it:897- 198 niter:343750  1798m 1s (- 1206m 57s) completed: 59%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0496  acc: 0.6013  lr: 0.0000 
ep/it:897- 248 niter:343800  1798m 15s (- 1206m 40s) completed: 59%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0491  acc: 0.6015  lr: 0.0000 
ep/it:897- 298 niter:343850  1798m 29s (- 1206m 24s) completed: 59%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0485  acc: 0.6053  lr: 0.0000 
ep/it:897- 348 niter:343900  1798m 43s (- 1206m 7s) completed: 59%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0508  acc: 0.5944  lr: 0.0000 
Validation loss:1.594, accuracy:0.565
ep/it:898-  15 niter:343950  1799m 0s (- 1205m 52s) completed: 59%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0479  acc: 0.6003  lr: 0.0000 
ep/it:898-  65 niter:344000  1799m 14s (- 1205m 35s) completed: 59%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0483  acc: 0.6031  lr: 0.0000 
ep/it:898- 115 niter:344050  1799m 29s (- 1205m 19s) completed: 59%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0490  acc: 0.5971  lr: 0.0000 
ep/it:898- 165 niter:344100  1799m 43s (- 1205m 2s) completed: 59%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0474  acc: 0.6066  lr: 0.0000 
ep/it:898- 215 niter:344150  1799m 57s (- 1204m 46s) completed: 59%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0485  acc: 0.6015  lr: 0.0000 
ep/it:898- 265 niter:344200  1800m 12s (- 1204m 29s) completed: 59%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0498  acc: 0.5917  lr: 0.0000 
ep/it:898- 315 niter:344250  1800m 26s (- 1204m 12s) completed: 59%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0494  acc: 0.5956  lr: 0.0000 
ep/it:898- 365 niter:344300  1800m 40s (- 1203m 56s) completed: 59%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0504  acc: 0.5975  lr: 0.0000 
Validation loss:1.614, accuracy:0.560
ep/it:899-  32 niter:344350  1800m 57s (- 1203m 41s) completed: 59%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0492  acc: 0.6006  lr: 0.0000 
ep/it:899-  82 niter:344400  1801m 11s (- 1203m 24s) completed: 59%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0495  acc: 0.5986  lr: 0.0000 
ep/it:899- 132 niter:344450  1801m 26s (- 1203m 8s) completed: 59%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0513  acc: 0.6017  lr: 0.0000 
ep/it:899- 182 niter:344500  1801m 40s (- 1202m 51s) completed: 59%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0501  acc: 0.5995  lr: 0.0000 
ep/it:899- 232 niter:344550  1801m 55s (- 1202m 35s) completed: 59%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0493  acc: 0.5991  lr: 0.0000 
ep/it:899- 282 niter:344600  1802m 9s (- 1202m 18s) completed: 59%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0495  acc: 0.5947  lr: 0.0000 
ep/it:899- 332 niter:344650  1802m 23s (- 1202m 1s) completed: 59%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0484  acc: 0.6011  lr: 0.0000 
ep/it:899- 382 niter:344700  1802m 37s (- 1201m 44s) completed: 60%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0480  acc: 0.6009  lr: 0.0000 
Validation loss:1.583, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.61it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.76523815281689 avg: 38.76523815281689
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.50071592442691 avg: 38.6329770386219
--> 	 Eva. Repeat 0 :, FID. 0.0640, Diversity Real. 9.3686, Diversity. 9.7126, R_precision_real. [0.49414062 0.6953125  0.79199219], R_precision. [0.49414062 0.70117188 0.79589844], matching_score_real. 2.9318, matching_score_pred. 2.9403, skate_ratio. 0.0523, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0664 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0125 (kps_fail_50cm (Loc. err)): 0.0002 (kps_mean_err(m) (Avg. err)): 0.0282 
ep/it:900-  49 niter:344750  1804m 13s (- 1202m 22s) completed: 60%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0495  acc: 0.5987  lr: 0.0000 
ep/it:900-  99 niter:344800  1804m 27s (- 1202m 6s) completed: 60%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0489  acc: 0.5975  lr: 0.0000 
ep/it:900- 149 niter:344850  1804m 42s (- 1201m 49s) completed: 60%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0482  acc: 0.6003  lr: 0.0000 
ep/it:900- 199 niter:344900  1804m 56s (- 1201m 32s) completed: 60%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0479  acc: 0.5989  lr: 0.0000 
ep/it:900- 249 niter:344950  1805m 11s (- 1201m 16s) completed: 60%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0473  acc: 0.5991  lr: 0.0000 
ep/it:900- 299 niter:345000  1805m 25s (- 1201m 0s) completed: 60%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0475  acc: 0.5923  lr: 0.0000 
ep/it:900- 349 niter:345050  1805m 40s (- 1200m 43s) completed: 60%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0479  acc: 0.6023  lr: 0.0000 
Validation loss:1.577, accuracy:0.567
ep/it:901-  16 niter:345100  1805m 57s (- 1200m 28s) completed: 60%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0478  acc: 0.6034  lr: 0.0000 
ep/it:901-  66 niter:345150  1806m 12s (- 1200m 12s) completed: 60%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0473  acc: 0.5929  lr: 0.0000 
ep/it:901- 116 niter:345200  1806m 26s (- 1199m 56s) completed: 60%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0472  acc: 0.5979  lr: 0.0000 
ep/it:901- 166 niter:345250  1806m 41s (- 1199m 39s) completed: 60%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0455  acc: 0.5962  lr: 0.0000 
ep/it:901- 216 niter:345300  1806m 55s (- 1199m 23s) completed: 60%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0479  acc: 0.6018  lr: 0.0000 
ep/it:901- 266 niter:345350  1807m 10s (- 1199m 6s) completed: 60%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0467  acc: 0.5981  lr: 0.0000 
ep/it:901- 316 niter:345400  1807m 24s (- 1198m 49s) completed: 60%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0462  acc: 0.6019  lr: 0.0000 
ep/it:901- 366 niter:345450  1807m 39s (- 1198m 33s) completed: 60%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0482  acc: 0.5928  lr: 0.0000 
Validation loss:1.618, accuracy:0.555
ep/it:902-  33 niter:345500  1807m 55s (- 1198m 18s) completed: 60%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0471  acc: 0.6037  lr: 0.0000 
ep/it:902-  83 niter:345550  1808m 10s (- 1198m 2s) completed: 60%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0472  acc: 0.5944  lr: 0.0000 
ep/it:902- 133 niter:345600  1808m 24s (- 1197m 45s) completed: 60%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0462  acc: 0.6047  lr: 0.0000 
ep/it:902- 183 niter:345650  1808m 38s (- 1197m 28s) completed: 60%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0454  acc: 0.6043  lr: 0.0000 
ep/it:902- 233 niter:345700  1808m 53s (- 1197m 12s) completed: 60%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0456  acc: 0.5965  lr: 0.0000 
ep/it:902- 283 niter:345750  1809m 7s (- 1196m 55s) completed: 60%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0450  acc: 0.5974  lr: 0.0000 
ep/it:902- 333 niter:345800  1809m 22s (- 1196m 39s) completed: 60%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0473  acc: 0.5964  lr: 0.0000 
Validation loss:1.614, accuracy:0.557
ep/it:903-   0 niter:345850  1809m 38s (- 1196m 24s) completed: 60%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0466  acc: 0.6030  lr: 0.0000 
ep/it:903-  50 niter:345900  1809m 53s (- 1196m 7s) completed: 60%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0461  acc: 0.6051  lr: 0.0000 
ep/it:903- 100 niter:345950  1810m 8s (- 1195m 51s) completed: 60%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0466  acc: 0.5982  lr: 0.0000 
ep/it:903- 150 niter:346000  1810m 22s (- 1195m 34s) completed: 60%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0468  acc: 0.5984  lr: 0.0000 
ep/it:903- 200 niter:346050  1810m 37s (- 1195m 18s) completed: 60%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0466  acc: 0.5971  lr: 0.0000 
ep/it:903- 250 niter:346100  1810m 51s (- 1195m 1s) completed: 60%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0448  acc: 0.6036  lr: 0.0000 
ep/it:903- 300 niter:346150  1811m 5s (- 1194m 44s) completed: 60%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0447  acc: 0.6043  lr: 0.0000 
ep/it:903- 350 niter:346200  1811m 19s (- 1194m 28s) completed: 60%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0463  acc: 0.6028  lr: 0.0000 
Validation loss:1.605, accuracy:0.559
ep/it:904-  17 niter:346250  1811m 36s (- 1194m 13s) completed: 60%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0467  acc: 0.6086  lr: 0.0000 
ep/it:904-  67 niter:346300  1811m 49s (- 1193m 56s) completed: 60%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0462  acc: 0.5944  lr: 0.0000 
ep/it:904- 117 niter:346350  1812m 3s (- 1193m 39s) completed: 60%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0460  acc: 0.6076  lr: 0.0000 
ep/it:904- 167 niter:346400  1812m 18s (- 1193m 22s) completed: 60%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0460  acc: 0.6022  lr: 0.0000 
ep/it:904- 217 niter:346450  1812m 31s (- 1193m 5s) completed: 60%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0483  acc: 0.6000  lr: 0.0000 
ep/it:904- 267 niter:346500  1812m 46s (- 1192m 49s) completed: 60%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0446  acc: 0.6039  lr: 0.0000 
ep/it:904- 317 niter:346550  1813m 0s (- 1192m 32s) completed: 60%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0463  acc: 0.6072  lr: 0.0000 
ep/it:904- 367 niter:346600  1813m 15s (- 1192m 16s) completed: 60%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0469  acc: 0.5924  lr: 0.0000 
Validation loss:1.567, accuracy:0.568
ep/it:905-  34 niter:346650  1813m 31s (- 1192m 0s) completed: 60%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0478  acc: 0.5998  lr: 0.0000 
ep/it:905-  84 niter:346700  1813m 45s (- 1191m 44s) completed: 60%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0446  acc: 0.6072  lr: 0.0000 
ep/it:905- 134 niter:346750  1814m 0s (- 1191m 27s) completed: 60%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0457  acc: 0.6026  lr: 0.0000 
ep/it:905- 184 niter:346800  1814m 13s (- 1191m 10s) completed: 60%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0458  acc: 0.5992  lr: 0.0000 
ep/it:905- 234 niter:346850  1814m 27s (- 1190m 53s) completed: 60%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0461  acc: 0.5978  lr: 0.0000 
ep/it:905- 284 niter:346900  1814m 42s (- 1190m 37s) completed: 60%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0465  acc: 0.5965  lr: 0.0000 
ep/it:905- 334 niter:346950  1814m 55s (- 1190m 20s) completed: 60%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0452  acc: 0.5920  lr: 0.0000 
Validation loss:1.584, accuracy:0.566
ep/it:906-   1 niter:347000  1815m 12s (- 1190m 5s) completed: 60%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0463  acc: 0.5957  lr: 0.0000 
ep/it:906-  51 niter:347050  1815m 26s (- 1189m 48s) completed: 60%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0443  acc: 0.6062  lr: 0.0000 
ep/it:906- 101 niter:347100  1815m 41s (- 1189m 31s) completed: 60%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0462  acc: 0.6033  lr: 0.0000 
ep/it:906- 151 niter:347150  1815m 55s (- 1189m 15s) completed: 60%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0468  acc: 0.5965  lr: 0.0000 
ep/it:906- 201 niter:347200  1816m 9s (- 1188m 58s) completed: 60%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0465  acc: 0.6022  lr: 0.0000 
ep/it:906- 251 niter:347250  1816m 24s (- 1188m 42s) completed: 60%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0459  acc: 0.5975  lr: 0.0000 
ep/it:906- 301 niter:347300  1816m 38s (- 1188m 25s) completed: 60%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0475  acc: 0.5978  lr: 0.0000 
ep/it:906- 351 niter:347350  1816m 52s (- 1188m 8s) completed: 60%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0466  acc: 0.6013  lr: 0.0000 
Validation loss:1.609, accuracy:0.559
ep/it:907-  18 niter:347400  1817m 8s (- 1187m 53s) completed: 60%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0472  acc: 0.6012  lr: 0.0000 
ep/it:907-  68 niter:347450  1817m 23s (- 1187m 36s) completed: 60%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0469  acc: 0.5978  lr: 0.0000 
ep/it:907- 118 niter:347500  1817m 37s (- 1187m 20s) completed: 60%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0467  acc: 0.5931  lr: 0.0000 
ep/it:907- 168 niter:347550  1817m 52s (- 1187m 4s) completed: 60%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0462  acc: 0.6013  lr: 0.0000 
ep/it:907- 218 niter:347600  1818m 5s (- 1186m 47s) completed: 60%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0467  acc: 0.6068  lr: 0.0000 
ep/it:907- 268 niter:347650  1818m 20s (- 1186m 30s) completed: 60%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0467  acc: 0.5951  lr: 0.0000 
ep/it:907- 318 niter:347700  1818m 33s (- 1186m 13s) completed: 60%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0454  acc: 0.5968  lr: 0.0000 
ep/it:907- 368 niter:347750  1818m 47s (- 1185m 56s) completed: 60%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0464  acc: 0.6025  lr: 0.0000 
Validation loss:1.629, accuracy:0.554
ep/it:908-  35 niter:347800  1819m 4s (- 1185m 41s) completed: 60%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0464  acc: 0.5986  lr: 0.0000 
ep/it:908-  85 niter:347850  1819m 18s (- 1185m 24s) completed: 60%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0449  acc: 0.5969  lr: 0.0000 
ep/it:908- 135 niter:347900  1819m 32s (- 1185m 8s) completed: 60%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0471  acc: 0.6003  lr: 0.0000 
ep/it:908- 185 niter:347950  1819m 47s (- 1184m 51s) completed: 60%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0452  acc: 0.6001  lr: 0.0000 
ep/it:908- 235 niter:348000  1820m 1s (- 1184m 35s) completed: 60%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0468  acc: 0.6015  lr: 0.0000 
ep/it:908- 285 niter:348050  1820m 16s (- 1184m 18s) completed: 60%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0450  acc: 0.6063  lr: 0.0000 
ep/it:908- 335 niter:348100  1820m 30s (- 1184m 2s) completed: 60%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0458  acc: 0.6007  lr: 0.0000 
Validation loss:1.563, accuracy:0.568
ep/it:909-   2 niter:348150  1820m 47s (- 1183m 47s) completed: 60%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0466  acc: 0.5939  lr: 0.0000 
ep/it:909-  52 niter:348200  1821m 2s (- 1183m 31s) completed: 60%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0453  acc: 0.5992  lr: 0.0000 
ep/it:909- 102 niter:348250  1821m 16s (- 1183m 14s) completed: 60%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0453  acc: 0.6082  lr: 0.0000 
ep/it:909- 152 niter:348300  1821m 30s (- 1182m 57s) completed: 60%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0476  acc: 0.6007  lr: 0.0000 
ep/it:909- 202 niter:348350  1821m 44s (- 1182m 41s) completed: 60%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0460  acc: 0.6019  lr: 0.0000 
ep/it:909- 252 niter:348400  1821m 58s (- 1182m 24s) completed: 60%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0455  acc: 0.5949  lr: 0.0000 
ep/it:909- 302 niter:348450  1822m 13s (- 1182m 7s) completed: 60%) loss_emb: 0.0000  loss: 1.3821  loss_TTT: 0.0460  acc: 0.5981  lr: 0.0000 
ep/it:909- 352 niter:348500  1822m 27s (- 1181m 50s) completed: 60%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0461  acc: 0.6015  lr: 0.0000 
Validation loss:1.573, accuracy:0.569

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.83it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.56448021065444 avg: 38.56448021065444
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.70176415890455 avg: 38.633122184779495
--> 	 Eva. Repeat 0 :, FID. 0.1040, Diversity Real. 9.6462, Diversity. 9.5120, R_precision_real. [0.51464844 0.71386719 0.80859375], R_precision. [0.52929688 0.72167969 0.8125    ], matching_score_real. 2.8670, matching_score_pred. 2.8773, skate_ratio. 0.0476, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0566 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0102 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0272 
ep/it:910-  19 niter:348550  1824m 3s (- 1182m 27s) completed: 60%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0464  acc: 0.6007  lr: 0.0000 
ep/it:910-  69 niter:348600  1824m 18s (- 1182m 11s) completed: 60%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0468  acc: 0.5900  lr: 0.0000 
ep/it:910- 119 niter:348650  1824m 32s (- 1181m 54s) completed: 60%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0461  acc: 0.5999  lr: 0.0000 
ep/it:910- 169 niter:348700  1824m 46s (- 1181m 38s) completed: 60%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0452  acc: 0.5976  lr: 0.0000 
ep/it:910- 219 niter:348750  1825m 1s (- 1181m 21s) completed: 60%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0449  acc: 0.6029  lr: 0.0000 
ep/it:910- 269 niter:348800  1825m 15s (- 1181m 4s) completed: 60%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0459  acc: 0.6027  lr: 0.0000 
ep/it:910- 319 niter:348850  1825m 29s (- 1180m 47s) completed: 60%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0457  acc: 0.5965  lr: 0.0000 
ep/it:910- 369 niter:348900  1825m 44s (- 1180m 31s) completed: 60%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0474  acc: 0.6024  lr: 0.0000 
Validation loss:1.622, accuracy:0.556
ep/it:911-  36 niter:348950  1826m 1s (- 1180m 16s) completed: 60%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0470  acc: 0.6046  lr: 0.0000 
ep/it:911-  86 niter:349000  1826m 15s (- 1180m 0s) completed: 60%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0441  acc: 0.6070  lr: 0.0000 
ep/it:911- 136 niter:349050  1826m 30s (- 1179m 44s) completed: 60%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0460  acc: 0.6006  lr: 0.0000 
ep/it:911- 186 niter:349100  1826m 44s (- 1179m 27s) completed: 60%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0464  acc: 0.5939  lr: 0.0000 
ep/it:911- 236 niter:349150  1826m 58s (- 1179m 10s) completed: 60%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0464  acc: 0.5954  lr: 0.0000 
ep/it:911- 286 niter:349200  1827m 12s (- 1178m 53s) completed: 60%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0464  acc: 0.6021  lr: 0.0000 
ep/it:911- 336 niter:349250  1827m 27s (- 1178m 37s) completed: 60%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0466  acc: 0.6007  lr: 0.0000 
Validation loss:1.565, accuracy:0.570
ep/it:912-   3 niter:349300  1827m 44s (- 1178m 22s) completed: 60%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0452  acc: 0.6038  lr: 0.0000 
ep/it:912-  53 niter:349350  1827m 59s (- 1178m 6s) completed: 60%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0465  acc: 0.6049  lr: 0.0000 
ep/it:912- 103 niter:349400  1828m 13s (- 1177m 49s) completed: 60%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0462  acc: 0.5945  lr: 0.0000 
ep/it:912- 153 niter:349450  1828m 27s (- 1177m 32s) completed: 60%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0457  acc: 0.6042  lr: 0.0000 
ep/it:912- 203 niter:349500  1828m 41s (- 1177m 16s) completed: 60%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0464  acc: 0.6021  lr: 0.0000 
ep/it:912- 253 niter:349550  1828m 56s (- 1177m 0s) completed: 60%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0440  acc: 0.6073  lr: 0.0000 
ep/it:912- 303 niter:349600  1829m 10s (- 1176m 43s) completed: 60%) loss_emb: 0.0000  loss: 1.3710  loss_TTT: 0.0447  acc: 0.6031  lr: 0.0000 
ep/it:912- 353 niter:349650  1829m 25s (- 1176m 26s) completed: 60%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0447  acc: 0.5957  lr: 0.0000 
Validation loss:1.571, accuracy:0.569
ep/it:913-  20 niter:349700  1829m 41s (- 1176m 11s) completed: 60%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0467  acc: 0.5955  lr: 0.0000 
ep/it:913-  70 niter:349750  1829m 56s (- 1175m 55s) completed: 60%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0472  acc: 0.6012  lr: 0.0000 
ep/it:913- 120 niter:349800  1830m 10s (- 1175m 38s) completed: 60%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0462  acc: 0.5977  lr: 0.0000 
ep/it:913- 170 niter:349850  1830m 25s (- 1175m 22s) completed: 60%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0477  acc: 0.5943  lr: 0.0000 
ep/it:913- 220 niter:349900  1830m 40s (- 1175m 6s) completed: 60%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0458  acc: 0.6020  lr: 0.0000 
ep/it:913- 270 niter:349950  1830m 54s (- 1174m 49s) completed: 60%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0460  acc: 0.6062  lr: 0.0000 
ep/it:913- 320 niter:350000  1831m 9s (- 1174m 33s) completed: 60%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0451  acc: 0.5946  lr: 0.0000 
ep/it:913- 370 niter:350050  1831m 24s (- 1174m 17s) completed: 60%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0458  acc: 0.6087  lr: 0.0000 
Validation loss:1.545, accuracy:0.577
ep/it:914-  37 niter:350100  1831m 41s (- 1174m 2s) completed: 60%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0463  acc: 0.5981  lr: 0.0000 
ep/it:914-  87 niter:350150  1831m 56s (- 1173m 46s) completed: 60%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0461  acc: 0.6029  lr: 0.0000 
ep/it:914- 137 niter:350200  1832m 10s (- 1173m 29s) completed: 60%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0454  acc: 0.5998  lr: 0.0000 
ep/it:914- 187 niter:350250  1832m 25s (- 1173m 13s) completed: 60%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0466  acc: 0.5979  lr: 0.0000 
ep/it:914- 237 niter:350300  1832m 40s (- 1172m 56s) completed: 60%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0440  acc: 0.5943  lr: 0.0000 
ep/it:914- 287 niter:350350  1832m 55s (- 1172m 40s) completed: 60%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0457  acc: 0.5988  lr: 0.0000 
ep/it:914- 337 niter:350400  1833m 9s (- 1172m 24s) completed: 60%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0469  acc: 0.5983  lr: 0.0000 
Validation loss:1.597, accuracy:0.562
ep/it:915-   4 niter:350450  1833m 26s (- 1172m 9s) completed: 61%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0460  acc: 0.6048  lr: 0.0000 
ep/it:915-  54 niter:350500  1833m 40s (- 1171m 52s) completed: 61%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0467  acc: 0.5997  lr: 0.0000 
ep/it:915- 104 niter:350550  1833m 55s (- 1171m 36s) completed: 61%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0454  acc: 0.5966  lr: 0.0000 
ep/it:915- 154 niter:350600  1834m 10s (- 1171m 20s) completed: 61%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0460  acc: 0.6002  lr: 0.0000 
ep/it:915- 204 niter:350650  1834m 25s (- 1171m 4s) completed: 61%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0458  acc: 0.5918  lr: 0.0000 
ep/it:915- 254 niter:350700  1834m 40s (- 1170m 47s) completed: 61%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0451  acc: 0.6004  lr: 0.0000 
ep/it:915- 304 niter:350750  1834m 54s (- 1170m 31s) completed: 61%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0450  acc: 0.6057  lr: 0.0000 
ep/it:915- 354 niter:350800  1835m 9s (- 1170m 15s) completed: 61%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0468  acc: 0.5966  lr: 0.0000 
Validation loss:1.600, accuracy:0.561
ep/it:916-  21 niter:350850  1835m 26s (- 1170m 0s) completed: 61%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0473  acc: 0.5909  lr: 0.0000 
ep/it:916-  71 niter:350900  1835m 40s (- 1169m 43s) completed: 61%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0461  acc: 0.5982  lr: 0.0000 
ep/it:916- 121 niter:350950  1835m 54s (- 1169m 26s) completed: 61%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0468  acc: 0.6039  lr: 0.0000 
ep/it:916- 171 niter:351000  1836m 8s (- 1169m 10s) completed: 61%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0466  acc: 0.6010  lr: 0.0000 
ep/it:916- 221 niter:351050  1836m 22s (- 1168m 53s) completed: 61%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0445  acc: 0.6052  lr: 0.0000 
ep/it:916- 271 niter:351100  1836m 36s (- 1168m 36s) completed: 61%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0471  acc: 0.5960  lr: 0.0000 
ep/it:916- 321 niter:351150  1836m 51s (- 1168m 20s) completed: 61%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0474  acc: 0.5960  lr: 0.0000 
ep/it:916- 371 niter:351200  1837m 5s (- 1168m 3s) completed: 61%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0455  acc: 0.5960  lr: 0.0000 
Validation loss:1.575, accuracy:0.565
ep/it:917-  38 niter:351250  1837m 22s (- 1167m 48s) completed: 61%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0461  acc: 0.5988  lr: 0.0000 
ep/it:917-  88 niter:351300  1837m 36s (- 1167m 31s) completed: 61%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0460  acc: 0.6024  lr: 0.0000 
ep/it:917- 138 niter:351350  1837m 50s (- 1167m 15s) completed: 61%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0453  acc: 0.6068  lr: 0.0000 
ep/it:917- 188 niter:351400  1838m 5s (- 1166m 58s) completed: 61%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0469  acc: 0.5952  lr: 0.0000 
ep/it:917- 238 niter:351450  1838m 19s (- 1166m 42s) completed: 61%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0459  acc: 0.6041  lr: 0.0000 
ep/it:917- 288 niter:351500  1838m 33s (- 1166m 25s) completed: 61%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0496  acc: 0.5977  lr: 0.0000 
ep/it:917- 338 niter:351550  1838m 48s (- 1166m 9s) completed: 61%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0447  acc: 0.6065  lr: 0.0000 
Validation loss:1.567, accuracy:0.569
ep/it:918-   5 niter:351600  1839m 5s (- 1165m 54s) completed: 61%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0477  acc: 0.5976  lr: 0.0000 
ep/it:918-  55 niter:351650  1839m 20s (- 1165m 38s) completed: 61%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0452  acc: 0.5985  lr: 0.0000 
ep/it:918- 105 niter:351700  1839m 34s (- 1165m 21s) completed: 61%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0462  acc: 0.5996  lr: 0.0000 
ep/it:918- 155 niter:351750  1839m 49s (- 1165m 5s) completed: 61%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0450  acc: 0.5918  lr: 0.0000 
ep/it:918- 205 niter:351800  1840m 3s (- 1164m 48s) completed: 61%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0477  acc: 0.6001  lr: 0.0000 
ep/it:918- 255 niter:351850  1840m 17s (- 1164m 32s) completed: 61%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0467  acc: 0.6006  lr: 0.0000 
ep/it:918- 305 niter:351900  1840m 32s (- 1164m 15s) completed: 61%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0459  acc: 0.5987  lr: 0.0000 
ep/it:918- 355 niter:351950  1840m 46s (- 1163m 59s) completed: 61%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0453  acc: 0.5976  lr: 0.0000 
Validation loss:1.590, accuracy:0.564
ep/it:919-  22 niter:352000  1841m 3s (- 1163m 44s) completed: 61%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0455  acc: 0.6007  lr: 0.0000 
ep/it:919-  72 niter:352050  1841m 18s (- 1163m 27s) completed: 61%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0445  acc: 0.5974  lr: 0.0000 
ep/it:919- 122 niter:352100  1841m 32s (- 1163m 11s) completed: 61%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0471  acc: 0.5986  lr: 0.0000 
ep/it:919- 172 niter:352150  1841m 47s (- 1162m 55s) completed: 61%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0483  acc: 0.5895  lr: 0.0000 
ep/it:919- 222 niter:352200  1842m 1s (- 1162m 38s) completed: 61%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0451  acc: 0.5928  lr: 0.0000 
ep/it:919- 272 niter:352250  1842m 16s (- 1162m 22s) completed: 61%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0438  acc: 0.6043  lr: 0.0000 
ep/it:919- 322 niter:352300  1842m 30s (- 1162m 5s) completed: 61%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0464  acc: 0.5948  lr: 0.0000 
ep/it:919- 372 niter:352350  1842m 45s (- 1161m 49s) completed: 61%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0461  acc: 0.5971  lr: 0.0000 
Validation loss:1.590, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.68it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.89113061595708 avg: 38.89113061595708
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.48802111297846 avg: 38.68957586446777
--> 	 Eva. Repeat 0 :, FID. 0.0931, Diversity Real. 9.3958, Diversity. 9.5759, R_precision_real. [0.50878906 0.70117188 0.79492188], R_precision. [0.5234375  0.71582031 0.8203125 ], matching_score_real. 2.9144, matching_score_pred. 2.8515, skate_ratio. 0.0490, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0527 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0067 (kps_fail_50cm (Loc. err)): 0.0001 (kps_mean_err(m) (Avg. err)): 0.0259 
ep/it:920-  39 niter:352400  1844m 21s (- 1162m 24s) completed: 61%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0464  acc: 0.5968  lr: 0.0000 
ep/it:920-  89 niter:352450  1844m 35s (- 1162m 7s) completed: 61%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0472  acc: 0.5881  lr: 0.0000 
ep/it:920- 139 niter:352500  1844m 50s (- 1161m 51s) completed: 61%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0437  acc: 0.5950  lr: 0.0000 
ep/it:920- 189 niter:352550  1845m 4s (- 1161m 34s) completed: 61%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0477  acc: 0.5924  lr: 0.0000 
ep/it:920- 239 niter:352600  1845m 18s (- 1161m 18s) completed: 61%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0454  acc: 0.6030  lr: 0.0000 
ep/it:920- 289 niter:352650  1845m 32s (- 1161m 1s) completed: 61%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0471  acc: 0.5981  lr: 0.0000 
ep/it:920- 339 niter:352700  1845m 46s (- 1160m 44s) completed: 61%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0464  acc: 0.5984  lr: 0.0000 
Validation loss:1.585, accuracy:0.563
ep/it:921-   6 niter:352750  1846m 3s (- 1160m 29s) completed: 61%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0449  acc: 0.5998  lr: 0.0000 
ep/it:921-  56 niter:352800  1846m 17s (- 1160m 12s) completed: 61%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0473  acc: 0.5969  lr: 0.0000 
ep/it:921- 106 niter:352850  1846m 32s (- 1159m 56s) completed: 61%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0463  acc: 0.6003  lr: 0.0000 
ep/it:921- 156 niter:352900  1846m 47s (- 1159m 40s) completed: 61%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0473  acc: 0.5937  lr: 0.0000 
ep/it:921- 206 niter:352950  1847m 1s (- 1159m 23s) completed: 61%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0448  acc: 0.6020  lr: 0.0000 
ep/it:921- 256 niter:353000  1847m 15s (- 1159m 7s) completed: 61%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0471  acc: 0.6008  lr: 0.0000 
ep/it:921- 306 niter:353050  1847m 30s (- 1158m 50s) completed: 61%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0451  acc: 0.6009  lr: 0.0000 
ep/it:921- 356 niter:353100  1847m 44s (- 1158m 34s) completed: 61%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0452  acc: 0.5973  lr: 0.0000 
Validation loss:1.590, accuracy:0.562
ep/it:922-  23 niter:353150  1848m 1s (- 1158m 19s) completed: 61%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0457  acc: 0.6027  lr: 0.0000 
ep/it:922-  73 niter:353200  1848m 15s (- 1158m 2s) completed: 61%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0452  acc: 0.5979  lr: 0.0000 
ep/it:922- 123 niter:353250  1848m 29s (- 1157m 45s) completed: 61%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0464  acc: 0.5993  lr: 0.0000 
ep/it:922- 173 niter:353300  1848m 43s (- 1157m 29s) completed: 61%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0467  acc: 0.5974  lr: 0.0000 
ep/it:922- 223 niter:353350  1848m 58s (- 1157m 12s) completed: 61%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0450  acc: 0.5987  lr: 0.0000 
ep/it:922- 273 niter:353400  1849m 12s (- 1156m 56s) completed: 61%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0437  acc: 0.6000  lr: 0.0000 
ep/it:922- 323 niter:353450  1849m 27s (- 1156m 39s) completed: 61%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0439  acc: 0.6023  lr: 0.0000 
ep/it:922- 373 niter:353500  1849m 41s (- 1156m 22s) completed: 61%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0475  acc: 0.5902  lr: 0.0000 
Validation loss:1.611, accuracy:0.558
ep/it:923-  40 niter:353550  1849m 58s (- 1156m 8s) completed: 61%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0456  acc: 0.5966  lr: 0.0000 
ep/it:923-  90 niter:353600  1850m 12s (- 1155m 51s) completed: 61%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0439  acc: 0.6014  lr: 0.0000 
ep/it:923- 140 niter:353650  1850m 27s (- 1155m 35s) completed: 61%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0467  acc: 0.5933  lr: 0.0000 
ep/it:923- 190 niter:353700  1850m 42s (- 1155m 18s) completed: 61%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0460  acc: 0.6033  lr: 0.0000 
ep/it:923- 240 niter:353750  1850m 56s (- 1155m 2s) completed: 61%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0469  acc: 0.5996  lr: 0.0000 
ep/it:923- 290 niter:353800  1851m 10s (- 1154m 45s) completed: 61%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0457  acc: 0.5965  lr: 0.0000 
ep/it:923- 340 niter:353850  1851m 25s (- 1154m 29s) completed: 61%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0454  acc: 0.6011  lr: 0.0000 
Validation loss:1.577, accuracy:0.566
ep/it:924-   7 niter:353900  1851m 42s (- 1154m 14s) completed: 61%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0452  acc: 0.6042  lr: 0.0000 
ep/it:924-  57 niter:353950  1851m 56s (- 1153m 58s) completed: 61%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0450  acc: 0.5928  lr: 0.0000 
ep/it:924- 107 niter:354000  1852m 11s (- 1153m 42s) completed: 61%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0452  acc: 0.6001  lr: 0.0000 
ep/it:924- 157 niter:354050  1852m 26s (- 1153m 25s) completed: 61%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0475  acc: 0.5937  lr: 0.0000 
ep/it:924- 207 niter:354100  1852m 41s (- 1153m 9s) completed: 61%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0458  acc: 0.6010  lr: 0.0000 
ep/it:924- 257 niter:354150  1852m 55s (- 1152m 52s) completed: 61%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0459  acc: 0.5996  lr: 0.0000 
ep/it:924- 307 niter:354200  1853m 10s (- 1152m 36s) completed: 61%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0450  acc: 0.6019  lr: 0.0000 
ep/it:924- 357 niter:354250  1853m 24s (- 1152m 19s) completed: 61%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0466  acc: 0.5998  lr: 0.0000 
Validation loss:1.588, accuracy:0.564
ep/it:925-  24 niter:354300  1853m 42s (- 1152m 5s) completed: 61%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0450  acc: 0.6059  lr: 0.0000 
ep/it:925-  74 niter:354350  1853m 56s (- 1151m 48s) completed: 61%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0458  acc: 0.6030  lr: 0.0000 
ep/it:925- 124 niter:354400  1854m 10s (- 1151m 32s) completed: 61%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0455  acc: 0.5949  lr: 0.0000 
ep/it:925- 174 niter:354450  1854m 25s (- 1151m 16s) completed: 61%) loss_emb: 0.0000  loss: 1.3533  loss_TTT: 0.0460  acc: 0.6074  lr: 0.0000 
ep/it:925- 224 niter:354500  1854m 40s (- 1150m 59s) completed: 61%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0465  acc: 0.6068  lr: 0.0000 
ep/it:925- 274 niter:354550  1854m 55s (- 1150m 43s) completed: 61%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0458  acc: 0.6044  lr: 0.0000 
ep/it:925- 324 niter:354600  1855m 10s (- 1150m 27s) completed: 61%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0460  acc: 0.6054  lr: 0.0000 
ep/it:925- 374 niter:354650  1855m 24s (- 1150m 10s) completed: 61%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0456  acc: 0.5974  lr: 0.0000 
Validation loss:1.578, accuracy:0.566
ep/it:926-  41 niter:354700  1855m 41s (- 1149m 56s) completed: 61%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0455  acc: 0.6023  lr: 0.0000 
ep/it:926-  91 niter:354750  1855m 56s (- 1149m 39s) completed: 61%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0447  acc: 0.6047  lr: 0.0000 
ep/it:926- 141 niter:354800  1856m 10s (- 1149m 23s) completed: 61%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0448  acc: 0.5917  lr: 0.0000 
ep/it:926- 191 niter:354850  1856m 25s (- 1149m 6s) completed: 61%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0476  acc: 0.6011  lr: 0.0000 
ep/it:926- 241 niter:354900  1856m 39s (- 1148m 50s) completed: 61%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0454  acc: 0.6026  lr: 0.0000 
ep/it:926- 291 niter:354950  1856m 54s (- 1148m 34s) completed: 61%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0465  acc: 0.5988  lr: 0.0000 
ep/it:926- 341 niter:355000  1857m 9s (- 1148m 17s) completed: 61%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0467  acc: 0.5987  lr: 0.0000 
Validation loss:1.577, accuracy:0.566
ep/it:927-   8 niter:355050  1857m 26s (- 1148m 3s) completed: 61%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0465  acc: 0.6021  lr: 0.0000 
ep/it:927-  58 niter:355100  1857m 40s (- 1147m 46s) completed: 61%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0470  acc: 0.5926  lr: 0.0000 
ep/it:927- 108 niter:355150  1857m 55s (- 1147m 30s) completed: 61%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0450  acc: 0.6007  lr: 0.0000 
ep/it:927- 158 niter:355200  1858m 10s (- 1147m 14s) completed: 61%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0462  acc: 0.6018  lr: 0.0000 
ep/it:927- 208 niter:355250  1858m 25s (- 1146m 57s) completed: 61%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0462  acc: 0.5999  lr: 0.0000 
ep/it:927- 258 niter:355300  1858m 39s (- 1146m 41s) completed: 61%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0469  acc: 0.6003  lr: 0.0000 
ep/it:927- 308 niter:355350  1858m 54s (- 1146m 24s) completed: 61%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0461  acc: 0.5976  lr: 0.0000 
ep/it:927- 358 niter:355400  1859m 8s (- 1146m 8s) completed: 61%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0465  acc: 0.5931  lr: 0.0000 
Validation loss:1.606, accuracy:0.562
ep/it:928-  25 niter:355450  1859m 25s (- 1145m 53s) completed: 61%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0477  acc: 0.5949  lr: 0.0000 
ep/it:928-  75 niter:355500  1859m 39s (- 1145m 36s) completed: 61%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0441  acc: 0.6024  lr: 0.0000 
ep/it:928- 125 niter:355550  1859m 54s (- 1145m 20s) completed: 61%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0465  acc: 0.6039  lr: 0.0000 
ep/it:928- 175 niter:355600  1860m 8s (- 1145m 4s) completed: 61%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0474  acc: 0.5995  lr: 0.0000 
ep/it:928- 225 niter:355650  1860m 23s (- 1144m 47s) completed: 61%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0449  acc: 0.5905  lr: 0.0000 
ep/it:928- 275 niter:355700  1860m 37s (- 1144m 31s) completed: 61%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0453  acc: 0.6004  lr: 0.0000 
ep/it:928- 325 niter:355750  1860m 52s (- 1144m 15s) completed: 61%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0470  acc: 0.5997  lr: 0.0000 
ep/it:928- 375 niter:355800  1861m 7s (- 1143m 58s) completed: 61%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0464  acc: 0.5922  lr: 0.0000 
Validation loss:1.578, accuracy:0.567
ep/it:929-  42 niter:355850  1861m 24s (- 1143m 43s) completed: 61%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0467  acc: 0.6021  lr: 0.0000 
ep/it:929-  92 niter:355900  1861m 38s (- 1143m 27s) completed: 61%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0440  acc: 0.6025  lr: 0.0000 
ep/it:929- 142 niter:355950  1861m 52s (- 1143m 10s) completed: 61%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0458  acc: 0.6034  lr: 0.0000 
ep/it:929- 192 niter:356000  1862m 6s (- 1142m 53s) completed: 61%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0464  acc: 0.6015  lr: 0.0000 
ep/it:929- 242 niter:356050  1862m 20s (- 1142m 37s) completed: 61%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0469  acc: 0.5969  lr: 0.0000 
ep/it:929- 292 niter:356100  1862m 34s (- 1142m 20s) completed: 61%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0465  acc: 0.5948  lr: 0.0000 
ep/it:929- 342 niter:356150  1862m 49s (- 1142m 3s) completed: 61%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0450  acc: 0.6052  lr: 0.0000 
Validation loss:1.511, accuracy:0.586

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.75it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:19<00:37,  2.50s/it]
100%|██████████| 47/47 [01:19<00:00,  1.69s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.04531561676413 avg: 39.04531561676413
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.24980904813856 avg: 39.14756233245134
--> 	 Eva. Repeat 0 :, FID. 0.1121, Diversity Real. 9.7114, Diversity. 9.3364, R_precision_real. [0.52441406 0.69335938 0.79003906], R_precision. [0.5234375  0.71386719 0.80078125], matching_score_real. 2.9322, matching_score_pred. 2.9112, skate_ratio. 0.0496, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0119 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0270 
ep/it:930-   9 niter:356200  1864m 25s (- 1142m 37s) completed: 62%) loss_emb: 0.0000  loss: 1.4227  loss_TTT: 0.0466  acc: 0.5891  lr: 0.0000 
ep/it:930-  59 niter:356250  1864m 39s (- 1142m 21s) completed: 62%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0469  acc: 0.6046  lr: 0.0000 
ep/it:930- 109 niter:356300  1864m 54s (- 1142m 4s) completed: 62%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0456  acc: 0.6000  lr: 0.0000 
ep/it:930- 159 niter:356350  1865m 9s (- 1141m 48s) completed: 62%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0447  acc: 0.6008  lr: 0.0000 
ep/it:930- 209 niter:356400  1865m 23s (- 1141m 31s) completed: 62%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0456  acc: 0.5989  lr: 0.0000 
ep/it:930- 259 niter:356450  1865m 38s (- 1141m 15s) completed: 62%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0482  acc: 0.5971  lr: 0.0000 
ep/it:930- 309 niter:356500  1865m 52s (- 1140m 58s) completed: 62%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0460  acc: 0.6007  lr: 0.0000 
ep/it:930- 359 niter:356550  1866m 7s (- 1140m 42s) completed: 62%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0479  acc: 0.5951  lr: 0.0000 
Validation loss:1.576, accuracy:0.569
ep/it:931-  26 niter:356600  1866m 23s (- 1140m 27s) completed: 62%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0457  acc: 0.5964  lr: 0.0000 
ep/it:931-  76 niter:356650  1866m 37s (- 1140m 10s) completed: 62%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0464  acc: 0.5919  lr: 0.0000 
ep/it:931- 126 niter:356700  1866m 52s (- 1139m 54s) completed: 62%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0461  acc: 0.6068  lr: 0.0000 
ep/it:931- 176 niter:356750  1867m 6s (- 1139m 37s) completed: 62%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0472  acc: 0.5990  lr: 0.0000 
ep/it:931- 226 niter:356800  1867m 20s (- 1139m 21s) completed: 62%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0447  acc: 0.6021  lr: 0.0000 
ep/it:931- 276 niter:356850  1867m 35s (- 1139m 4s) completed: 62%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0468  acc: 0.5957  lr: 0.0000 
ep/it:931- 326 niter:356900  1867m 49s (- 1138m 48s) completed: 62%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0458  acc: 0.6017  lr: 0.0000 
ep/it:931- 376 niter:356950  1868m 3s (- 1138m 31s) completed: 62%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0456  acc: 0.5980  lr: 0.0000 
Validation loss:1.563, accuracy:0.569
ep/it:932-  43 niter:357000  1868m 21s (- 1138m 17s) completed: 62%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0458  acc: 0.5975  lr: 0.0000 
ep/it:932-  93 niter:357050  1868m 36s (- 1138m 0s) completed: 62%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0456  acc: 0.6061  lr: 0.0000 
ep/it:932- 143 niter:357100  1868m 50s (- 1137m 44s) completed: 62%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0469  acc: 0.6014  lr: 0.0000 
ep/it:932- 193 niter:357150  1869m 5s (- 1137m 27s) completed: 62%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0445  acc: 0.6021  lr: 0.0000 
ep/it:932- 243 niter:357200  1869m 19s (- 1137m 11s) completed: 62%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0459  acc: 0.5946  lr: 0.0000 
ep/it:932- 293 niter:357250  1869m 34s (- 1136m 55s) completed: 62%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0480  acc: 0.5973  lr: 0.0000 
ep/it:932- 343 niter:357300  1869m 48s (- 1136m 38s) completed: 62%) loss_emb: 0.0000  loss: 1.3475  loss_TTT: 0.0467  acc: 0.6075  lr: 0.0000 
Validation loss:1.623, accuracy:0.556
ep/it:933-  10 niter:357350  1870m 5s (- 1136m 23s) completed: 62%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0451  acc: 0.6059  lr: 0.0000 
ep/it:933-  60 niter:357400  1870m 19s (- 1136m 7s) completed: 62%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0452  acc: 0.5903  lr: 0.0000 
ep/it:933- 110 niter:357450  1870m 34s (- 1135m 50s) completed: 62%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0475  acc: 0.5938  lr: 0.0000 
ep/it:933- 160 niter:357500  1870m 49s (- 1135m 34s) completed: 62%) loss_emb: 0.0000  loss: 1.3406  loss_TTT: 0.0457  acc: 0.6106  lr: 0.0000 
ep/it:933- 210 niter:357550  1871m 3s (- 1135m 17s) completed: 62%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0447  acc: 0.5994  lr: 0.0000 
ep/it:933- 260 niter:357600  1871m 18s (- 1135m 1s) completed: 62%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0465  acc: 0.5987  lr: 0.0000 
ep/it:933- 310 niter:357650  1871m 32s (- 1134m 45s) completed: 62%) loss_emb: 0.0000  loss: 1.3434  loss_TTT: 0.0449  acc: 0.6078  lr: 0.0000 
ep/it:933- 360 niter:357700  1871m 46s (- 1134m 28s) completed: 62%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0448  acc: 0.6041  lr: 0.0000 
Validation loss:1.615, accuracy:0.558
ep/it:934-  27 niter:357750  1872m 4s (- 1134m 13s) completed: 62%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0466  acc: 0.6000  lr: 0.0000 
ep/it:934-  77 niter:357800  1872m 18s (- 1133m 57s) completed: 62%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0452  acc: 0.6045  lr: 0.0000 
ep/it:934- 127 niter:357850  1872m 33s (- 1133m 41s) completed: 62%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0460  acc: 0.5970  lr: 0.0000 
ep/it:934- 177 niter:357900  1872m 48s (- 1133m 24s) completed: 62%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0452  acc: 0.6022  lr: 0.0000 
ep/it:934- 227 niter:357950  1873m 2s (- 1133m 8s) completed: 62%) loss_emb: 0.0000  loss: 1.3491  loss_TTT: 0.0458  acc: 0.6070  lr: 0.0000 
ep/it:934- 277 niter:358000  1873m 17s (- 1132m 52s) completed: 62%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0456  acc: 0.5986  lr: 0.0000 
ep/it:934- 327 niter:358050  1873m 32s (- 1132m 35s) completed: 62%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0427  acc: 0.6027  lr: 0.0000 
ep/it:934- 377 niter:358100  1873m 46s (- 1132m 19s) completed: 62%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0479  acc: 0.6013  lr: 0.0000 
Validation loss:1.585, accuracy:0.564
ep/it:935-  44 niter:358150  1874m 2s (- 1132m 4s) completed: 62%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0467  acc: 0.5964  lr: 0.0000 
ep/it:935-  94 niter:358200  1874m 17s (- 1131m 47s) completed: 62%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0461  acc: 0.5999  lr: 0.0000 
ep/it:935- 144 niter:358250  1874m 32s (- 1131m 31s) completed: 62%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0473  acc: 0.5945  lr: 0.0000 
ep/it:935- 194 niter:358300  1874m 46s (- 1131m 14s) completed: 62%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0470  acc: 0.6050  lr: 0.0000 
ep/it:935- 244 niter:358350  1875m 1s (- 1130m 58s) completed: 62%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0452  acc: 0.5964  lr: 0.0000 
ep/it:935- 294 niter:358400  1875m 16s (- 1130m 42s) completed: 62%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0474  acc: 0.6008  lr: 0.0000 
ep/it:935- 344 niter:358450  1875m 30s (- 1130m 25s) completed: 62%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0469  acc: 0.5993  lr: 0.0000 
Validation loss:1.579, accuracy:0.566
ep/it:936-  11 niter:358500  1875m 47s (- 1130m 10s) completed: 62%) loss_emb: 0.0000  loss: 1.3506  loss_TTT: 0.0480  acc: 0.6069  lr: 0.0000 
ep/it:936-  61 niter:358550  1876m 1s (- 1129m 54s) completed: 62%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0465  acc: 0.6058  lr: 0.0000 
ep/it:936- 111 niter:358600  1876m 15s (- 1129m 37s) completed: 62%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0468  acc: 0.6009  lr: 0.0000 
ep/it:936- 161 niter:358650  1876m 30s (- 1129m 21s) completed: 62%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0447  acc: 0.5972  lr: 0.0000 
ep/it:936- 211 niter:358700  1876m 44s (- 1129m 4s) completed: 62%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0457  acc: 0.6034  lr: 0.0000 
ep/it:936- 261 niter:358750  1876m 58s (- 1128m 48s) completed: 62%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0465  acc: 0.5987  lr: 0.0000 
ep/it:936- 311 niter:358800  1877m 12s (- 1128m 31s) completed: 62%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0486  acc: 0.5941  lr: 0.0000 
ep/it:936- 361 niter:358850  1877m 27s (- 1128m 15s) completed: 62%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0451  acc: 0.6020  lr: 0.0000 
Validation loss:1.594, accuracy:0.565
ep/it:937-  28 niter:358900  1877m 43s (- 1127m 59s) completed: 62%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0483  acc: 0.6019  lr: 0.0000 
ep/it:937-  78 niter:358950  1877m 57s (- 1127m 43s) completed: 62%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0484  acc: 0.6065  lr: 0.0000 
ep/it:937- 128 niter:359000  1878m 11s (- 1127m 26s) completed: 62%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0459  acc: 0.6051  lr: 0.0000 
ep/it:937- 178 niter:359050  1878m 26s (- 1127m 10s) completed: 62%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0467  acc: 0.6032  lr: 0.0000 
ep/it:937- 228 niter:359100  1878m 40s (- 1126m 53s) completed: 62%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0467  acc: 0.5930  lr: 0.0000 
ep/it:937- 278 niter:359150  1878m 54s (- 1126m 36s) completed: 62%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0451  acc: 0.6056  lr: 0.0000 
ep/it:937- 328 niter:359200  1879m 8s (- 1126m 20s) completed: 62%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0466  acc: 0.6021  lr: 0.0000 
ep/it:937- 378 niter:359250  1879m 23s (- 1126m 3s) completed: 62%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0465  acc: 0.5932  lr: 0.0000 
Validation loss:1.539, accuracy:0.577
ep/it:938-  45 niter:359300  1879m 39s (- 1125m 48s) completed: 62%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0460  acc: 0.5940  lr: 0.0000 
ep/it:938-  95 niter:359350  1879m 54s (- 1125m 32s) completed: 62%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0467  acc: 0.6043  lr: 0.0000 
ep/it:938- 145 niter:359400  1880m 8s (- 1125m 15s) completed: 62%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0468  acc: 0.6003  lr: 0.0000 
ep/it:938- 195 niter:359450  1880m 22s (- 1124m 58s) completed: 62%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0470  acc: 0.5982  lr: 0.0000 
ep/it:938- 245 niter:359500  1880m 36s (- 1124m 42s) completed: 62%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0455  acc: 0.6056  lr: 0.0000 
ep/it:938- 295 niter:359550  1880m 51s (- 1124m 25s) completed: 62%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0474  acc: 0.5982  lr: 0.0000 
ep/it:938- 345 niter:359600  1881m 5s (- 1124m 9s) completed: 62%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0452  acc: 0.6008  lr: 0.0000 
Validation loss:1.599, accuracy:0.561
ep/it:939-  12 niter:359650  1881m 22s (- 1123m 54s) completed: 62%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0460  acc: 0.6036  lr: 0.0000 
ep/it:939-  62 niter:359700  1881m 36s (- 1123m 38s) completed: 62%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0451  acc: 0.5989  lr: 0.0000 
ep/it:939- 112 niter:359750  1881m 51s (- 1123m 21s) completed: 62%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0453  acc: 0.5998  lr: 0.0000 
ep/it:939- 162 niter:359800  1882m 5s (- 1123m 4s) completed: 62%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0463  acc: 0.6002  lr: 0.0000 
ep/it:939- 212 niter:359850  1882m 20s (- 1122m 48s) completed: 62%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0466  acc: 0.5975  lr: 0.0000 
ep/it:939- 262 niter:359900  1882m 34s (- 1122m 32s) completed: 62%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0467  acc: 0.6053  lr: 0.0000 
ep/it:939- 312 niter:359950  1882m 49s (- 1122m 15s) completed: 62%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0463  acc: 0.6002  lr: 0.0000 
ep/it:939- 362 niter:360000  1883m 4s (- 1121m 59s) completed: 62%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0473  acc: 0.5992  lr: 0.0000 
Validation loss:1.582, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.77it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.579968532547355 avg: 38.579968532547355
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.84054659307003 avg: 38.71025756280869
--> 	 Eva. Repeat 0 :, FID. 0.1115, Diversity Real. 9.6775, Diversity. 9.3268, R_precision_real. [0.50976562 0.70898438 0.79785156], R_precision. [0.51953125 0.70019531 0.80175781], matching_score_real. 2.9221, matching_score_pred. 2.8860, skate_ratio. 0.0494, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0400 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0071 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0260 
ep/it:940-  29 niter:360050  1884m 40s (- 1122m 31s) completed: 62%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0461  acc: 0.6031  lr: 0.0000 
ep/it:940-  79 niter:360100  1884m 54s (- 1122m 15s) completed: 62%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0468  acc: 0.6022  lr: 0.0000 
ep/it:940- 129 niter:360150  1885m 8s (- 1121m 58s) completed: 62%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0461  acc: 0.5940  lr: 0.0000 
ep/it:940- 179 niter:360200  1885m 23s (- 1121m 42s) completed: 62%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0459  acc: 0.5970  lr: 0.0000 
ep/it:940- 229 niter:360250  1885m 37s (- 1121m 25s) completed: 62%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0467  acc: 0.6014  lr: 0.0000 
ep/it:940- 279 niter:360300  1885m 52s (- 1121m 9s) completed: 62%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0460  acc: 0.5973  lr: 0.0000 
ep/it:940- 329 niter:360350  1886m 6s (- 1120m 52s) completed: 62%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0454  acc: 0.6021  lr: 0.0000 
ep/it:940- 379 niter:360400  1886m 20s (- 1120m 36s) completed: 62%) loss_emb: 0.0000  loss: 1.3618  loss_TTT: 0.0460  acc: 0.6036  lr: 0.0000 
Validation loss:1.578, accuracy:0.565
ep/it:941-  46 niter:360450  1886m 38s (- 1120m 22s) completed: 62%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0459  acc: 0.6042  lr: 0.0000 
ep/it:941-  96 niter:360500  1886m 53s (- 1120m 5s) completed: 62%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0462  acc: 0.6012  lr: 0.0000 
ep/it:941- 146 niter:360550  1887m 8s (- 1119m 49s) completed: 62%) loss_emb: 0.0000  loss: 1.3558  loss_TTT: 0.0463  acc: 0.6056  lr: 0.0000 
ep/it:941- 196 niter:360600  1887m 22s (- 1119m 33s) completed: 62%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0465  acc: 0.5972  lr: 0.0000 
ep/it:941- 246 niter:360650  1887m 36s (- 1119m 16s) completed: 62%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0477  acc: 0.5973  lr: 0.0000 
ep/it:941- 296 niter:360700  1887m 52s (- 1119m 0s) completed: 62%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0451  acc: 0.6075  lr: 0.0000 
ep/it:941- 346 niter:360750  1888m 6s (- 1118m 44s) completed: 62%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0457  acc: 0.5956  lr: 0.0000 
Validation loss:1.560, accuracy:0.571
ep/it:942-  13 niter:360800  1888m 23s (- 1118m 29s) completed: 62%) loss_emb: 0.0000  loss: 1.3490  loss_TTT: 0.0459  acc: 0.6077  lr: 0.0000 
ep/it:942-  63 niter:360850  1888m 37s (- 1118m 12s) completed: 62%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0465  acc: 0.6005  lr: 0.0000 
ep/it:942- 113 niter:360900  1888m 52s (- 1117m 56s) completed: 62%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0452  acc: 0.6011  lr: 0.0000 
ep/it:942- 163 niter:360950  1889m 7s (- 1117m 40s) completed: 62%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0462  acc: 0.5988  lr: 0.0000 
ep/it:942- 213 niter:361000  1889m 21s (- 1117m 23s) completed: 62%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0447  acc: 0.6031  lr: 0.0000 
ep/it:942- 263 niter:361050  1889m 36s (- 1117m 7s) completed: 62%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0444  acc: 0.5972  lr: 0.0000 
ep/it:942- 313 niter:361100  1889m 51s (- 1116m 51s) completed: 62%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0478  acc: 0.5943  lr: 0.0000 
ep/it:942- 363 niter:361150  1890m 5s (- 1116m 34s) completed: 62%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0439  acc: 0.6003  lr: 0.0000 
Validation loss:1.613, accuracy:0.558
ep/it:943-  30 niter:361200  1890m 23s (- 1116m 20s) completed: 62%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0461  acc: 0.6012  lr: 0.0000 
ep/it:943-  80 niter:361250  1890m 38s (- 1116m 3s) completed: 62%) loss_emb: 0.0000  loss: 1.3495  loss_TTT: 0.0459  acc: 0.6084  lr: 0.0000 
ep/it:943- 130 niter:361300  1890m 52s (- 1115m 47s) completed: 62%) loss_emb: 0.0000  loss: 1.3525  loss_TTT: 0.0459  acc: 0.6072  lr: 0.0000 
ep/it:943- 180 niter:361350  1891m 6s (- 1115m 30s) completed: 62%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0444  acc: 0.6048  lr: 0.0000 
ep/it:943- 230 niter:361400  1891m 21s (- 1115m 14s) completed: 62%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0464  acc: 0.6028  lr: 0.0000 
ep/it:943- 280 niter:361450  1891m 35s (- 1114m 57s) completed: 62%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0473  acc: 0.6010  lr: 0.0000 
ep/it:943- 330 niter:361500  1891m 49s (- 1114m 41s) completed: 62%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0455  acc: 0.6016  lr: 0.0000 
ep/it:943- 380 niter:361550  1892m 4s (- 1114m 25s) completed: 62%) loss_emb: 0.0000  loss: 1.3477  loss_TTT: 0.0451  acc: 0.6088  lr: 0.0000 
Validation loss:1.583, accuracy:0.565
ep/it:944-  47 niter:361600  1892m 21s (- 1114m 10s) completed: 62%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0452  acc: 0.5972  lr: 0.0000 
ep/it:944-  97 niter:361650  1892m 35s (- 1113m 53s) completed: 62%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0443  acc: 0.6004  lr: 0.0000 
ep/it:944- 147 niter:361700  1892m 50s (- 1113m 37s) completed: 62%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0448  acc: 0.6016  lr: 0.0000 
ep/it:944- 197 niter:361750  1893m 4s (- 1113m 20s) completed: 62%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0458  acc: 0.6006  lr: 0.0000 
ep/it:944- 247 niter:361800  1893m 17s (- 1113m 3s) completed: 62%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0457  acc: 0.5957  lr: 0.0000 
ep/it:944- 297 niter:361850  1893m 32s (- 1112m 46s) completed: 62%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0460  acc: 0.6015  lr: 0.0000 
ep/it:944- 347 niter:361900  1893m 46s (- 1112m 30s) completed: 62%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0463  acc: 0.6044  lr: 0.0000 
Validation loss:1.549, accuracy:0.573
ep/it:945-  14 niter:361950  1894m 2s (- 1112m 14s) completed: 63%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0452  acc: 0.6043  lr: 0.0000 
ep/it:945-  64 niter:362000  1894m 16s (- 1111m 58s) completed: 63%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0450  acc: 0.6041  lr: 0.0000 
ep/it:945- 114 niter:362050  1894m 31s (- 1111m 42s) completed: 63%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0469  acc: 0.5988  lr: 0.0000 
ep/it:945- 164 niter:362100  1894m 45s (- 1111m 25s) completed: 63%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0465  acc: 0.6011  lr: 0.0000 
ep/it:945- 214 niter:362150  1894m 59s (- 1111m 8s) completed: 63%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0469  acc: 0.5920  lr: 0.0000 
ep/it:945- 264 niter:362200  1895m 13s (- 1110m 52s) completed: 63%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0464  acc: 0.6004  lr: 0.0000 
ep/it:945- 314 niter:362250  1895m 27s (- 1110m 35s) completed: 63%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0459  acc: 0.5958  lr: 0.0000 
ep/it:945- 364 niter:362300  1895m 42s (- 1110m 19s) completed: 63%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0459  acc: 0.6002  lr: 0.0000 
Validation loss:1.605, accuracy:0.560
ep/it:946-  31 niter:362350  1895m 59s (- 1110m 4s) completed: 63%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0457  acc: 0.5991  lr: 0.0000 
ep/it:946-  81 niter:362400  1896m 14s (- 1109m 48s) completed: 63%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0443  acc: 0.6030  lr: 0.0000 
ep/it:946- 131 niter:362450  1896m 28s (- 1109m 31s) completed: 63%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0453  acc: 0.6058  lr: 0.0000 
ep/it:946- 181 niter:362500  1896m 42s (- 1109m 14s) completed: 63%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0474  acc: 0.5992  lr: 0.0000 
ep/it:946- 231 niter:362550  1896m 56s (- 1108m 58s) completed: 63%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0469  acc: 0.6052  lr: 0.0000 
ep/it:946- 281 niter:362600  1897m 10s (- 1108m 41s) completed: 63%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0462  acc: 0.5948  lr: 0.0000 
ep/it:946- 331 niter:362650  1897m 25s (- 1108m 25s) completed: 63%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0466  acc: 0.5951  lr: 0.0000 
ep/it:946- 381 niter:362700  1897m 39s (- 1108m 8s) completed: 63%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0457  acc: 0.5967  lr: 0.0000 
Validation loss:1.578, accuracy:0.566
ep/it:947-  48 niter:362750  1897m 55s (- 1107m 53s) completed: 63%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0463  acc: 0.5986  lr: 0.0000 
ep/it:947-  98 niter:362800  1898m 10s (- 1107m 36s) completed: 63%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0447  acc: 0.6022  lr: 0.0000 
ep/it:947- 148 niter:362850  1898m 24s (- 1107m 20s) completed: 63%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0471  acc: 0.5990  lr: 0.0000 
ep/it:947- 198 niter:362900  1898m 39s (- 1107m 3s) completed: 63%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0461  acc: 0.5972  lr: 0.0000 
ep/it:947- 248 niter:362950  1898m 53s (- 1106m 47s) completed: 63%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0459  acc: 0.5957  lr: 0.0000 
ep/it:947- 298 niter:363000  1899m 7s (- 1106m 31s) completed: 63%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0459  acc: 0.5972  lr: 0.0000 
ep/it:947- 348 niter:363050  1899m 22s (- 1106m 14s) completed: 63%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0455  acc: 0.6064  lr: 0.0000 
Validation loss:1.574, accuracy:0.567
ep/it:948-  15 niter:363100  1899m 39s (- 1105m 59s) completed: 63%) loss_emb: 0.0000  loss: 1.3470  loss_TTT: 0.0463  acc: 0.6094  lr: 0.0000 
ep/it:948-  65 niter:363150  1899m 53s (- 1105m 43s) completed: 63%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0450  acc: 0.5976  lr: 0.0000 
ep/it:948- 115 niter:363200  1900m 7s (- 1105m 26s) completed: 63%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0454  acc: 0.5952  lr: 0.0000 
ep/it:948- 165 niter:363250  1900m 22s (- 1105m 10s) completed: 63%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0445  acc: 0.5991  lr: 0.0000 
ep/it:948- 215 niter:363300  1900m 36s (- 1104m 53s) completed: 63%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0463  acc: 0.5981  lr: 0.0000 
ep/it:948- 265 niter:363350  1900m 51s (- 1104m 37s) completed: 63%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0466  acc: 0.5954  lr: 0.0000 
ep/it:948- 315 niter:363400  1901m 5s (- 1104m 21s) completed: 63%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0466  acc: 0.5971  lr: 0.0000 
ep/it:948- 365 niter:363450  1901m 20s (- 1104m 5s) completed: 63%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0456  acc: 0.5971  lr: 0.0000 
Validation loss:1.608, accuracy:0.558
ep/it:949-  32 niter:363500  1901m 38s (- 1103m 50s) completed: 63%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0468  acc: 0.6040  lr: 0.0000 
ep/it:949-  82 niter:363550  1901m 53s (- 1103m 34s) completed: 63%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0466  acc: 0.6037  lr: 0.0000 
ep/it:949- 132 niter:363600  1902m 8s (- 1103m 18s) completed: 63%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0433  acc: 0.6025  lr: 0.0000 
ep/it:949- 182 niter:363650  1902m 22s (- 1103m 1s) completed: 63%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0454  acc: 0.5962  lr: 0.0000 
ep/it:949- 232 niter:363700  1902m 37s (- 1102m 45s) completed: 63%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0456  acc: 0.5973  lr: 0.0000 
ep/it:949- 282 niter:363750  1902m 52s (- 1102m 29s) completed: 63%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0470  acc: 0.6003  lr: 0.0000 
ep/it:949- 332 niter:363800  1903m 7s (- 1102m 13s) completed: 63%) loss_emb: 0.0000  loss: 1.3417  loss_TTT: 0.0455  acc: 0.6108  lr: 0.0000 
ep/it:949- 382 niter:363850  1903m 21s (- 1101m 56s) completed: 63%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0467  acc: 0.6054  lr: 0.0000 
Validation loss:1.593, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.93it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.73451913706958 avg: 38.73451913706958
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.5008352342993 avg: 38.61767718568444
--> 	 Eva. Repeat 0 :, FID. 0.0719, Diversity Real. 9.2383, Diversity. 10.1443, R_precision_real. [0.51269531 0.69433594 0.79199219], R_precision. [0.52148438 0.69726562 0.79101562], matching_score_real. 2.9308, matching_score_pred. 2.9220, skate_ratio. 0.0477, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0107 (kps_fail_50cm (Loc. err)): 0.0013 (kps_mean_err(m) (Avg. err)): 0.0260 
ep/it:950-  49 niter:363900  1904m 57s (- 1102m 27s) completed: 63%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0460  acc: 0.6060  lr: 0.0000 
ep/it:950-  99 niter:363950  1905m 11s (- 1102m 10s) completed: 63%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0463  acc: 0.5984  lr: 0.0000 
ep/it:950- 149 niter:364000  1905m 26s (- 1101m 54s) completed: 63%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0449  acc: 0.6049  lr: 0.0000 
ep/it:950- 199 niter:364050  1905m 41s (- 1101m 38s) completed: 63%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0445  acc: 0.5984  lr: 0.0000 
ep/it:950- 249 niter:364100  1905m 55s (- 1101m 21s) completed: 63%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0464  acc: 0.5988  lr: 0.0000 
ep/it:950- 299 niter:364150  1906m 9s (- 1101m 5s) completed: 63%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0461  acc: 0.6014  lr: 0.0000 
ep/it:950- 349 niter:364200  1906m 23s (- 1100m 48s) completed: 63%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0454  acc: 0.5982  lr: 0.0000 
Validation loss:1.568, accuracy:0.572
ep/it:951-  16 niter:364250  1906m 40s (- 1100m 33s) completed: 63%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0446  acc: 0.6028  lr: 0.0000 
ep/it:951-  66 niter:364300  1906m 55s (- 1100m 17s) completed: 63%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0459  acc: 0.6010  lr: 0.0000 
ep/it:951- 116 niter:364350  1907m 9s (- 1100m 0s) completed: 63%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0471  acc: 0.6031  lr: 0.0000 
ep/it:951- 166 niter:364400  1907m 24s (- 1099m 44s) completed: 63%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0453  acc: 0.6064  lr: 0.0000 
ep/it:951- 216 niter:364450  1907m 38s (- 1099m 27s) completed: 63%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0468  acc: 0.5918  lr: 0.0000 
ep/it:951- 266 niter:364500  1907m 52s (- 1099m 11s) completed: 63%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0449  acc: 0.6031  lr: 0.0000 
ep/it:951- 316 niter:364550  1908m 6s (- 1098m 54s) completed: 63%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0466  acc: 0.6002  lr: 0.0000 
ep/it:951- 366 niter:364600  1908m 21s (- 1098m 38s) completed: 63%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0455  acc: 0.6031  lr: 0.0000 
Validation loss:1.621, accuracy:0.557
ep/it:952-  33 niter:364650  1908m 38s (- 1098m 23s) completed: 63%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0453  acc: 0.6069  lr: 0.0000 
ep/it:952-  83 niter:364700  1908m 53s (- 1098m 7s) completed: 63%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0445  acc: 0.5948  lr: 0.0000 
ep/it:952- 133 niter:364750  1909m 7s (- 1097m 50s) completed: 63%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0452  acc: 0.6049  lr: 0.0000 
ep/it:952- 183 niter:364800  1909m 21s (- 1097m 34s) completed: 63%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0461  acc: 0.6015  lr: 0.0000 
ep/it:952- 233 niter:364850  1909m 36s (- 1097m 17s) completed: 63%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0446  acc: 0.6010  lr: 0.0000 
ep/it:952- 283 niter:364900  1909m 51s (- 1097m 1s) completed: 63%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0455  acc: 0.6032  lr: 0.0000 
ep/it:952- 333 niter:364950  1910m 5s (- 1096m 44s) completed: 63%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0453  acc: 0.5984  lr: 0.0000 
Validation loss:1.605, accuracy:0.561
ep/it:953-   0 niter:365000  1910m 22s (- 1096m 30s) completed: 63%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0449  acc: 0.6045  lr: 0.0000 
ep/it:953-  50 niter:365050  1910m 37s (- 1096m 14s) completed: 63%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0467  acc: 0.5990  lr: 0.0000 
ep/it:953- 100 niter:365100  1910m 52s (- 1095m 57s) completed: 63%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0462  acc: 0.5990  lr: 0.0000 
ep/it:953- 150 niter:365150  1911m 5s (- 1095m 40s) completed: 63%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0450  acc: 0.6022  lr: 0.0000 
ep/it:953- 200 niter:365200  1911m 20s (- 1095m 24s) completed: 63%) loss_emb: 0.0000  loss: 1.3521  loss_TTT: 0.0451  acc: 0.6064  lr: 0.0000 
ep/it:953- 250 niter:365250  1911m 35s (- 1095m 8s) completed: 63%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0463  acc: 0.6017  lr: 0.0000 
ep/it:953- 300 niter:365300  1911m 49s (- 1094m 51s) completed: 63%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0476  acc: 0.6059  lr: 0.0000 
ep/it:953- 350 niter:365350  1912m 3s (- 1094m 35s) completed: 63%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0458  acc: 0.6068  lr: 0.0000 
Validation loss:1.588, accuracy:0.565
ep/it:954-  17 niter:365400  1912m 20s (- 1094m 20s) completed: 63%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0454  acc: 0.5988  lr: 0.0000 
ep/it:954-  67 niter:365450  1912m 34s (- 1094m 3s) completed: 63%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0456  acc: 0.5982  lr: 0.0000 
ep/it:954- 117 niter:365500  1912m 48s (- 1093m 46s) completed: 63%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0462  acc: 0.5957  lr: 0.0000 
ep/it:954- 167 niter:365550  1913m 2s (- 1093m 30s) completed: 63%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0453  acc: 0.6014  lr: 0.0000 
ep/it:954- 217 niter:365600  1913m 16s (- 1093m 13s) completed: 63%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0453  acc: 0.6028  lr: 0.0000 
ep/it:954- 267 niter:365650  1913m 30s (- 1092m 57s) completed: 63%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0464  acc: 0.5949  lr: 0.0000 
ep/it:954- 317 niter:365700  1913m 45s (- 1092m 40s) completed: 63%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0460  acc: 0.6015  lr: 0.0000 
ep/it:954- 367 niter:365750  1913m 59s (- 1092m 23s) completed: 63%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0459  acc: 0.5993  lr: 0.0000 
Validation loss:1.576, accuracy:0.570
ep/it:955-  34 niter:365800  1914m 15s (- 1092m 8s) completed: 63%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0468  acc: 0.5982  lr: 0.0000 
ep/it:955-  84 niter:365850  1914m 30s (- 1091m 52s) completed: 63%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0457  acc: 0.6007  lr: 0.0000 
ep/it:955- 134 niter:365900  1914m 44s (- 1091m 35s) completed: 63%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0463  acc: 0.6039  lr: 0.0000 
ep/it:955- 184 niter:365950  1914m 57s (- 1091m 18s) completed: 63%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0456  acc: 0.5953  lr: 0.0000 
ep/it:955- 234 niter:366000  1915m 12s (- 1091m 2s) completed: 63%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0449  acc: 0.6056  lr: 0.0000 
ep/it:955- 284 niter:366050  1915m 27s (- 1090m 46s) completed: 63%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0467  acc: 0.6008  lr: 0.0000 
ep/it:955- 334 niter:366100  1915m 41s (- 1090m 29s) completed: 63%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0452  acc: 0.6016  lr: 0.0000 
Validation loss:1.547, accuracy:0.575
ep/it:956-   1 niter:366150  1915m 58s (- 1090m 14s) completed: 63%) loss_emb: 0.0000  loss: 1.3538  loss_TTT: 0.0453  acc: 0.6062  lr: 0.0000 
ep/it:956-  51 niter:366200  1916m 13s (- 1089m 58s) completed: 63%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0458  acc: 0.6030  lr: 0.0000 
ep/it:956- 101 niter:366250  1916m 27s (- 1089m 41s) completed: 63%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0457  acc: 0.6036  lr: 0.0000 
ep/it:956- 151 niter:366300  1916m 41s (- 1089m 25s) completed: 63%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0443  acc: 0.5960  lr: 0.0000 
ep/it:956- 201 niter:366350  1916m 56s (- 1089m 9s) completed: 63%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0468  acc: 0.5991  lr: 0.0000 
ep/it:956- 251 niter:366400  1917m 10s (- 1088m 52s) completed: 63%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0449  acc: 0.5994  lr: 0.0000 
ep/it:956- 301 niter:366450  1917m 25s (- 1088m 36s) completed: 63%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0456  acc: 0.5989  lr: 0.0000 
ep/it:956- 351 niter:366500  1917m 39s (- 1088m 19s) completed: 63%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0455  acc: 0.6052  lr: 0.0000 
Validation loss:1.596, accuracy:0.563
ep/it:957-  18 niter:366550  1917m 57s (- 1088m 5s) completed: 63%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0470  acc: 0.6005  lr: 0.0000 
ep/it:957-  68 niter:366600  1918m 11s (- 1087m 48s) completed: 63%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0460  acc: 0.6041  lr: 0.0000 
ep/it:957- 118 niter:366650  1918m 25s (- 1087m 32s) completed: 63%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0469  acc: 0.5959  lr: 0.0000 
ep/it:957- 168 niter:366700  1918m 39s (- 1087m 15s) completed: 63%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0447  acc: 0.5958  lr: 0.0000 
ep/it:957- 218 niter:366750  1918m 54s (- 1086m 59s) completed: 63%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0461  acc: 0.5927  lr: 0.0000 
ep/it:957- 268 niter:366800  1919m 8s (- 1086m 42s) completed: 63%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0452  acc: 0.5989  lr: 0.0000 
ep/it:957- 318 niter:366850  1919m 22s (- 1086m 25s) completed: 63%) loss_emb: 0.0000  loss: 1.3366  loss_TTT: 0.0459  acc: 0.6118  lr: 0.0000 
ep/it:957- 368 niter:366900  1919m 37s (- 1086m 9s) completed: 63%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0448  acc: 0.6048  lr: 0.0000 
Validation loss:1.523, accuracy:0.581
ep/it:958-  35 niter:366950  1919m 54s (- 1085m 54s) completed: 63%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0456  acc: 0.6022  lr: 0.0000 
ep/it:958-  85 niter:367000  1920m 9s (- 1085m 38s) completed: 63%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0466  acc: 0.5977  lr: 0.0000 
ep/it:958- 135 niter:367050  1920m 24s (- 1085m 22s) completed: 63%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0462  acc: 0.5945  lr: 0.0000 
ep/it:958- 185 niter:367100  1920m 38s (- 1085m 6s) completed: 63%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0442  acc: 0.5991  lr: 0.0000 
ep/it:958- 235 niter:367150  1920m 53s (- 1084m 49s) completed: 63%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0450  acc: 0.6024  lr: 0.0000 
ep/it:958- 285 niter:367200  1921m 7s (- 1084m 33s) completed: 63%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0464  acc: 0.5969  lr: 0.0000 
ep/it:958- 335 niter:367250  1921m 22s (- 1084m 17s) completed: 63%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0446  acc: 0.6009  lr: 0.0000 
Validation loss:1.536, accuracy:0.577
ep/it:959-   2 niter:367300  1921m 39s (- 1084m 2s) completed: 63%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0467  acc: 0.5962  lr: 0.0000 
ep/it:959-  52 niter:367350  1921m 54s (- 1083m 46s) completed: 63%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0476  acc: 0.6023  lr: 0.0000 
ep/it:959- 102 niter:367400  1922m 9s (- 1083m 29s) completed: 63%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0454  acc: 0.6042  lr: 0.0000 
ep/it:959- 152 niter:367450  1922m 23s (- 1083m 13s) completed: 63%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0464  acc: 0.5954  lr: 0.0000 
ep/it:959- 202 niter:367500  1922m 38s (- 1082m 57s) completed: 63%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0459  acc: 0.5996  lr: 0.0000 
ep/it:959- 252 niter:367550  1922m 53s (- 1082m 41s) completed: 63%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0444  acc: 0.6092  lr: 0.0000 
ep/it:959- 302 niter:367600  1923m 7s (- 1082m 24s) completed: 63%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0465  acc: 0.6012  lr: 0.0000 
ep/it:959- 352 niter:367650  1923m 22s (- 1082m 8s) completed: 63%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0444  acc: 0.5989  lr: 0.0000 
Validation loss:1.609, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.73it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.77585010044277 avg: 38.77585010044277
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.53779880143702 avg: 38.656824450939894
--> 	 Eva. Repeat 0 :, FID. 0.0825, Diversity Real. 9.6062, Diversity. 9.7075, R_precision_real. [0.51953125 0.71777344 0.80761719], R_precision. [0.51855469 0.70507812 0.80664062], matching_score_real. 2.8994, matching_score_pred. 2.9306, skate_ratio. 0.0504, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0547 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0084 (kps_fail_50cm (Loc. err)): 0.0003 (kps_mean_err(m) (Avg. err)): 0.0263 
ep/it:960-  19 niter:367700  1924m 58s (- 1082m 37s) completed: 64%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0457  acc: 0.6028  lr: 0.0000 
ep/it:960-  69 niter:367750  1925m 12s (- 1082m 21s) completed: 64%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0462  acc: 0.6004  lr: 0.0000 
ep/it:960- 119 niter:367800  1925m 27s (- 1082m 5s) completed: 64%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0458  acc: 0.5978  lr: 0.0000 
ep/it:960- 169 niter:367850  1925m 41s (- 1081m 48s) completed: 64%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0449  acc: 0.5981  lr: 0.0000 
ep/it:960- 219 niter:367900  1925m 56s (- 1081m 32s) completed: 64%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0460  acc: 0.5988  lr: 0.0000 
ep/it:960- 269 niter:367950  1926m 11s (- 1081m 16s) completed: 64%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0441  acc: 0.5983  lr: 0.0000 
ep/it:960- 319 niter:368000  1926m 25s (- 1080m 59s) completed: 64%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0467  acc: 0.5944  lr: 0.0000 
ep/it:960- 369 niter:368050  1926m 40s (- 1080m 43s) completed: 64%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0463  acc: 0.6016  lr: 0.0000 
Validation loss:1.573, accuracy:0.567
ep/it:961-  36 niter:368100  1926m 56s (- 1080m 28s) completed: 64%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0461  acc: 0.5942  lr: 0.0000 
ep/it:961-  86 niter:368150  1927m 10s (- 1080m 11s) completed: 64%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0460  acc: 0.6025  lr: 0.0000 
ep/it:961- 136 niter:368200  1927m 25s (- 1079m 55s) completed: 64%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0459  acc: 0.6015  lr: 0.0000 
ep/it:961- 186 niter:368250  1927m 39s (- 1079m 38s) completed: 64%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0450  acc: 0.5989  lr: 0.0000 
ep/it:961- 236 niter:368300  1927m 54s (- 1079m 22s) completed: 64%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0446  acc: 0.6038  lr: 0.0000 
ep/it:961- 286 niter:368350  1928m 8s (- 1079m 6s) completed: 64%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0490  acc: 0.6041  lr: 0.0000 
ep/it:961- 336 niter:368400  1928m 22s (- 1078m 49s) completed: 64%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0472  acc: 0.6002  lr: 0.0000 
Validation loss:1.613, accuracy:0.557
ep/it:962-   3 niter:368450  1928m 39s (- 1078m 34s) completed: 64%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0451  acc: 0.5944  lr: 0.0000 
ep/it:962-  53 niter:368500  1928m 53s (- 1078m 17s) completed: 64%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0474  acc: 0.6009  lr: 0.0000 
ep/it:962- 103 niter:368550  1929m 8s (- 1078m 1s) completed: 64%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0444  acc: 0.6031  lr: 0.0000 
ep/it:962- 153 niter:368600  1929m 22s (- 1077m 45s) completed: 64%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0455  acc: 0.5953  lr: 0.0000 
ep/it:962- 203 niter:368650  1929m 36s (- 1077m 28s) completed: 64%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0465  acc: 0.5898  lr: 0.0000 
ep/it:962- 253 niter:368700  1929m 51s (- 1077m 11s) completed: 64%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0448  acc: 0.5977  lr: 0.0000 
ep/it:962- 303 niter:368750  1930m 5s (- 1076m 55s) completed: 64%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0455  acc: 0.6002  lr: 0.0000 
ep/it:962- 353 niter:368800  1930m 19s (- 1076m 38s) completed: 64%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0445  acc: 0.5979  lr: 0.0000 
Validation loss:1.576, accuracy:0.566
ep/it:963-  20 niter:368850  1930m 36s (- 1076m 24s) completed: 64%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0464  acc: 0.5984  lr: 0.0000 
ep/it:963-  70 niter:368900  1930m 51s (- 1076m 7s) completed: 64%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0449  acc: 0.6030  lr: 0.0000 
ep/it:963- 120 niter:368950  1931m 6s (- 1075m 51s) completed: 64%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0453  acc: 0.5977  lr: 0.0000 
ep/it:963- 170 niter:369000  1931m 20s (- 1075m 35s) completed: 64%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0452  acc: 0.5978  lr: 0.0000 
ep/it:963- 220 niter:369050  1931m 35s (- 1075m 18s) completed: 64%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0462  acc: 0.6043  lr: 0.0000 
ep/it:963- 270 niter:369100  1931m 49s (- 1075m 2s) completed: 64%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0458  acc: 0.5972  lr: 0.0000 
ep/it:963- 320 niter:369150  1932m 4s (- 1074m 46s) completed: 64%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0454  acc: 0.5975  lr: 0.0000 
ep/it:963- 370 niter:369200  1932m 19s (- 1074m 29s) completed: 64%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0450  acc: 0.5972  lr: 0.0000 
Validation loss:1.572, accuracy:0.568
ep/it:964-  37 niter:369250  1932m 35s (- 1074m 14s) completed: 64%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0477  acc: 0.6049  lr: 0.0000 
ep/it:964-  87 niter:369300  1932m 50s (- 1073m 58s) completed: 64%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0440  acc: 0.6015  lr: 0.0000 
ep/it:964- 137 niter:369350  1933m 5s (- 1073m 42s) completed: 64%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0460  acc: 0.6049  lr: 0.0000 
ep/it:964- 187 niter:369400  1933m 19s (- 1073m 25s) completed: 64%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0451  acc: 0.6005  lr: 0.0000 
ep/it:964- 237 niter:369450  1933m 34s (- 1073m 9s) completed: 64%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0462  acc: 0.6028  lr: 0.0000 
ep/it:964- 287 niter:369500  1933m 49s (- 1072m 53s) completed: 64%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0461  acc: 0.6048  lr: 0.0000 
ep/it:964- 337 niter:369550  1934m 3s (- 1072m 37s) completed: 64%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0463  acc: 0.5958  lr: 0.0000 
Validation loss:1.570, accuracy:0.569
ep/it:965-   4 niter:369600  1934m 20s (- 1072m 22s) completed: 64%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0451  acc: 0.5982  lr: 0.0000 
ep/it:965-  54 niter:369650  1934m 35s (- 1072m 5s) completed: 64%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0472  acc: 0.5972  lr: 0.0000 
ep/it:965- 104 niter:369700  1934m 50s (- 1071m 49s) completed: 64%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0439  acc: 0.5998  lr: 0.0000 
ep/it:965- 154 niter:369750  1935m 4s (- 1071m 33s) completed: 64%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0468  acc: 0.6054  lr: 0.0000 
ep/it:965- 204 niter:369800  1935m 18s (- 1071m 16s) completed: 64%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0472  acc: 0.6048  lr: 0.0000 
ep/it:965- 254 niter:369850  1935m 32s (- 1071m 0s) completed: 64%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0454  acc: 0.6030  lr: 0.0000 
ep/it:965- 304 niter:369900  1935m 46s (- 1070m 43s) completed: 64%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0454  acc: 0.6067  lr: 0.0000 
ep/it:965- 354 niter:369950  1936m 1s (- 1070m 27s) completed: 64%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0464  acc: 0.5949  lr: 0.0000 
Validation loss:1.550, accuracy:0.572
ep/it:966-  21 niter:370000  1936m 18s (- 1070m 12s) completed: 64%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0467  acc: 0.5990  lr: 0.0000 
ep/it:966-  71 niter:370050  1936m 33s (- 1069m 55s) completed: 64%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0470  acc: 0.6053  lr: 0.0000 
ep/it:966- 121 niter:370100  1936m 47s (- 1069m 39s) completed: 64%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0462  acc: 0.6036  lr: 0.0000 
ep/it:966- 171 niter:370150  1937m 1s (- 1069m 22s) completed: 64%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0466  acc: 0.6039  lr: 0.0000 
ep/it:966- 221 niter:370200  1937m 15s (- 1069m 6s) completed: 64%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0451  acc: 0.5988  lr: 0.0000 
ep/it:966- 271 niter:370250  1937m 29s (- 1068m 49s) completed: 64%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0458  acc: 0.6005  lr: 0.0000 
ep/it:966- 321 niter:370300  1937m 43s (- 1068m 32s) completed: 64%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0436  acc: 0.6073  lr: 0.0000 
ep/it:966- 371 niter:370350  1937m 57s (- 1068m 16s) completed: 64%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0478  acc: 0.5986  lr: 0.0000 
Validation loss:1.572, accuracy:0.567
ep/it:967-  38 niter:370400  1938m 14s (- 1068m 1s) completed: 64%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0460  acc: 0.6046  lr: 0.0000 
ep/it:967-  88 niter:370450  1938m 28s (- 1067m 44s) completed: 64%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0474  acc: 0.6015  lr: 0.0000 
ep/it:967- 138 niter:370500  1938m 42s (- 1067m 28s) completed: 64%) loss_emb: 0.0000  loss: 1.3419  loss_TTT: 0.0459  acc: 0.6094  lr: 0.0000 
ep/it:967- 188 niter:370550  1938m 56s (- 1067m 11s) completed: 64%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0462  acc: 0.5949  lr: 0.0000 
ep/it:967- 238 niter:370600  1939m 11s (- 1066m 55s) completed: 64%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0476  acc: 0.6017  lr: 0.0000 
ep/it:967- 288 niter:370650  1939m 25s (- 1066m 38s) completed: 64%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0460  acc: 0.6050  lr: 0.0000 
ep/it:967- 338 niter:370700  1939m 40s (- 1066m 22s) completed: 64%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0441  acc: 0.6093  lr: 0.0000 
Validation loss:1.554, accuracy:0.572
ep/it:968-   5 niter:370750  1939m 57s (- 1066m 7s) completed: 64%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0452  acc: 0.6063  lr: 0.0000 
ep/it:968-  55 niter:370800  1940m 11s (- 1065m 51s) completed: 64%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0464  acc: 0.5964  lr: 0.0000 
ep/it:968- 105 niter:370850  1940m 26s (- 1065m 34s) completed: 64%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0464  acc: 0.6015  lr: 0.0000 
ep/it:968- 155 niter:370900  1940m 40s (- 1065m 18s) completed: 64%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0456  acc: 0.6011  lr: 0.0000 
ep/it:968- 205 niter:370950  1940m 55s (- 1065m 1s) completed: 64%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0467  acc: 0.5985  lr: 0.0000 
ep/it:968- 255 niter:371000  1941m 9s (- 1064m 45s) completed: 64%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0449  acc: 0.5972  lr: 0.0000 
ep/it:968- 305 niter:371050  1941m 24s (- 1064m 29s) completed: 64%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0458  acc: 0.5994  lr: 0.0000 
ep/it:968- 355 niter:371100  1941m 38s (- 1064m 13s) completed: 64%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0459  acc: 0.6058  lr: 0.0000 
Validation loss:1.578, accuracy:0.567
ep/it:969-  22 niter:371150  1941m 55s (- 1063m 58s) completed: 64%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0456  acc: 0.6028  lr: 0.0000 
ep/it:969-  72 niter:371200  1942m 9s (- 1063m 41s) completed: 64%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0446  acc: 0.6008  lr: 0.0000 
ep/it:969- 122 niter:371250  1942m 24s (- 1063m 25s) completed: 64%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0470  acc: 0.5994  lr: 0.0000 
ep/it:969- 172 niter:371300  1942m 38s (- 1063m 8s) completed: 64%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0448  acc: 0.6021  lr: 0.0000 
ep/it:969- 222 niter:371350  1942m 52s (- 1062m 52s) completed: 64%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0467  acc: 0.6014  lr: 0.0000 
ep/it:969- 272 niter:371400  1943m 7s (- 1062m 35s) completed: 64%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0465  acc: 0.5981  lr: 0.0000 
ep/it:969- 322 niter:371450  1943m 21s (- 1062m 19s) completed: 64%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0447  acc: 0.6021  lr: 0.0000 
ep/it:969- 372 niter:371500  1943m 35s (- 1062m 2s) completed: 64%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0455  acc: 0.5994  lr: 0.0000 
Validation loss:1.564, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.63it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.73982118628919 avg: 38.73982118628919
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.57847871258855 avg: 38.65914994943887
--> 	 Eva. Repeat 0 :, FID. 0.0801, Diversity Real. 9.7887, Diversity. 9.2229, R_precision_real. [0.52441406 0.70605469 0.78808594], R_precision. [0.50976562 0.6796875  0.78320312], matching_score_real. 2.9086, matching_score_pred. 3.0181, skate_ratio. 0.0502, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0439 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0080 (kps_fail_50cm (Loc. err)): 0.0008 (kps_mean_err(m) (Avg. err)): 0.0268 
ep/it:970-  39 niter:371550  1945m 12s (- 1062m 31s) completed: 64%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0462  acc: 0.5958  lr: 0.0000 
ep/it:970-  89 niter:371600  1945m 27s (- 1062m 15s) completed: 64%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0448  acc: 0.5994  lr: 0.0000 
ep/it:970- 139 niter:371650  1945m 41s (- 1061m 58s) completed: 64%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0458  acc: 0.6031  lr: 0.0000 
ep/it:970- 189 niter:371700  1945m 56s (- 1061m 42s) completed: 64%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0458  acc: 0.6074  lr: 0.0000 
ep/it:970- 239 niter:371750  1946m 10s (- 1061m 26s) completed: 64%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0450  acc: 0.6007  lr: 0.0000 
ep/it:970- 289 niter:371800  1946m 24s (- 1061m 9s) completed: 64%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0455  acc: 0.5983  lr: 0.0000 
ep/it:970- 339 niter:371850  1946m 39s (- 1060m 52s) completed: 64%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0448  acc: 0.6028  lr: 0.0000 
Validation loss:1.578, accuracy:0.565
ep/it:971-   6 niter:371900  1946m 56s (- 1060m 38s) completed: 64%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0440  acc: 0.6033  lr: 0.0000 
ep/it:971-  56 niter:371950  1947m 10s (- 1060m 21s) completed: 64%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0471  acc: 0.5928  lr: 0.0000 
ep/it:971- 106 niter:372000  1947m 25s (- 1060m 5s) completed: 64%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0476  acc: 0.6002  lr: 0.0000 
ep/it:971- 156 niter:372050  1947m 40s (- 1059m 49s) completed: 64%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0448  acc: 0.6067  lr: 0.0000 
ep/it:971- 206 niter:372100  1947m 54s (- 1059m 32s) completed: 64%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0451  acc: 0.6055  lr: 0.0000 
ep/it:971- 256 niter:372150  1948m 9s (- 1059m 16s) completed: 64%) loss_emb: 0.0000  loss: 1.3369  loss_TTT: 0.0463  acc: 0.6108  lr: 0.0000 
ep/it:971- 306 niter:372200  1948m 23s (- 1059m 0s) completed: 64%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0456  acc: 0.5986  lr: 0.0000 
ep/it:971- 356 niter:372250  1948m 37s (- 1058m 43s) completed: 64%) loss_emb: 0.0000  loss: 1.3574  loss_TTT: 0.0440  acc: 0.6046  lr: 0.0000 
Validation loss:1.579, accuracy:0.565
ep/it:972-  23 niter:372300  1948m 54s (- 1058m 28s) completed: 64%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0455  acc: 0.5977  lr: 0.0000 
ep/it:972-  73 niter:372350  1949m 9s (- 1058m 12s) completed: 64%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0446  acc: 0.6029  lr: 0.0000 
ep/it:972- 123 niter:372400  1949m 23s (- 1057m 55s) completed: 64%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0448  acc: 0.5995  lr: 0.0000 
ep/it:972- 173 niter:372450  1949m 37s (- 1057m 39s) completed: 64%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0464  acc: 0.5965  lr: 0.0000 
ep/it:972- 223 niter:372500  1949m 52s (- 1057m 22s) completed: 64%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0469  acc: 0.5985  lr: 0.0000 
ep/it:972- 273 niter:372550  1950m 7s (- 1057m 6s) completed: 64%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0476  acc: 0.6000  lr: 0.0000 
ep/it:972- 323 niter:372600  1950m 21s (- 1056m 50s) completed: 64%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0456  acc: 0.6032  lr: 0.0000 
ep/it:972- 373 niter:372650  1950m 35s (- 1056m 33s) completed: 64%) loss_emb: 0.0000  loss: 1.3431  loss_TTT: 0.0464  acc: 0.6087  lr: 0.0000 
Validation loss:1.616, accuracy:0.558
ep/it:973-  40 niter:372700  1950m 53s (- 1056m 18s) completed: 64%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0458  acc: 0.6007  lr: 0.0000 
ep/it:973-  90 niter:372750  1951m 7s (- 1056m 2s) completed: 64%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0457  acc: 0.5959  lr: 0.0000 
ep/it:973- 140 niter:372800  1951m 21s (- 1055m 45s) completed: 64%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0472  acc: 0.6010  lr: 0.0000 
ep/it:973- 190 niter:372850  1951m 36s (- 1055m 29s) completed: 64%) loss_emb: 0.0000  loss: 1.3491  loss_TTT: 0.0456  acc: 0.6070  lr: 0.0000 
ep/it:973- 240 niter:372900  1951m 50s (- 1055m 12s) completed: 64%) loss_emb: 0.0000  loss: 1.3421  loss_TTT: 0.0483  acc: 0.6108  lr: 0.0000 
ep/it:973- 290 niter:372950  1952m 4s (- 1054m 56s) completed: 64%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0502  acc: 0.5931  lr: 0.0000 
ep/it:973- 340 niter:373000  1952m 18s (- 1054m 40s) completed: 64%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0472  acc: 0.5960  lr: 0.0000 
Validation loss:1.627, accuracy:0.558
ep/it:974-   7 niter:373050  1952m 36s (- 1054m 25s) completed: 64%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0495  acc: 0.6026  lr: 0.0000 
ep/it:974-  57 niter:373100  1952m 50s (- 1054m 8s) completed: 64%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0491  acc: 0.6052  lr: 0.0000 
ep/it:974- 107 niter:373150  1953m 5s (- 1053m 52s) completed: 64%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0484  acc: 0.5969  lr: 0.0000 
ep/it:974- 157 niter:373200  1953m 19s (- 1053m 36s) completed: 64%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0470  acc: 0.6028  lr: 0.0000 
ep/it:974- 207 niter:373250  1953m 33s (- 1053m 19s) completed: 64%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0515  acc: 0.5945  lr: 0.0000 
ep/it:974- 257 niter:373300  1953m 48s (- 1053m 3s) completed: 64%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0483  acc: 0.5960  lr: 0.0000 
ep/it:974- 307 niter:373350  1954m 2s (- 1052m 47s) completed: 64%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0471  acc: 0.6019  lr: 0.0000 
ep/it:974- 357 niter:373400  1954m 17s (- 1052m 30s) completed: 64%) loss_emb: 0.0000  loss: 1.3521  loss_TTT: 0.0488  acc: 0.6083  lr: 0.0000 
Validation loss:1.604, accuracy:0.560
ep/it:975-  24 niter:373450  1954m 34s (- 1052m 15s) completed: 65%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0481  acc: 0.6005  lr: 0.0000 
ep/it:975-  74 niter:373500  1954m 48s (- 1051m 59s) completed: 65%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0465  acc: 0.5984  lr: 0.0000 
ep/it:975- 124 niter:373550  1955m 2s (- 1051m 42s) completed: 65%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0466  acc: 0.6018  lr: 0.0000 
ep/it:975- 174 niter:373600  1955m 17s (- 1051m 26s) completed: 65%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0463  acc: 0.6089  lr: 0.0000 
ep/it:975- 224 niter:373650  1955m 31s (- 1051m 9s) completed: 65%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0492  acc: 0.5952  lr: 0.0000 
ep/it:975- 274 niter:373700  1955m 45s (- 1050m 53s) completed: 65%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0484  acc: 0.5954  lr: 0.0000 
ep/it:975- 324 niter:373750  1956m 0s (- 1050m 36s) completed: 65%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0516  acc: 0.6022  lr: 0.0000 
ep/it:975- 374 niter:373800  1956m 14s (- 1050m 20s) completed: 65%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0501  acc: 0.5940  lr: 0.0000 
Validation loss:1.587, accuracy:0.566
ep/it:976-  41 niter:373850  1956m 30s (- 1050m 5s) completed: 65%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0491  acc: 0.5963  lr: 0.0000 
ep/it:976-  91 niter:373900  1956m 44s (- 1049m 48s) completed: 65%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0512  acc: 0.5939  lr: 0.0000 
ep/it:976- 141 niter:373950  1956m 59s (- 1049m 32s) completed: 65%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0517  acc: 0.5960  lr: 0.0000 
ep/it:976- 191 niter:374000  1957m 12s (- 1049m 15s) completed: 65%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0508  acc: 0.5946  lr: 0.0000 
ep/it:976- 241 niter:374050  1957m 27s (- 1048m 59s) completed: 65%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0502  acc: 0.6010  lr: 0.0000 
ep/it:976- 291 niter:374100  1957m 41s (- 1048m 42s) completed: 65%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0482  acc: 0.5997  lr: 0.0000 
ep/it:976- 341 niter:374150  1957m 55s (- 1048m 26s) completed: 65%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0475  acc: 0.5942  lr: 0.0000 
Validation loss:1.575, accuracy:0.569
ep/it:977-   8 niter:374200  1958m 12s (- 1048m 10s) completed: 65%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0492  acc: 0.6060  lr: 0.0000 
ep/it:977-  58 niter:374250  1958m 26s (- 1047m 54s) completed: 65%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0490  acc: 0.6015  lr: 0.0000 
ep/it:977- 108 niter:374300  1958m 40s (- 1047m 37s) completed: 65%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0472  acc: 0.5971  lr: 0.0000 
ep/it:977- 158 niter:374350  1958m 55s (- 1047m 21s) completed: 65%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0478  acc: 0.6037  lr: 0.0000 
ep/it:977- 208 niter:374400  1959m 9s (- 1047m 5s) completed: 65%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0498  acc: 0.6044  lr: 0.0000 
ep/it:977- 258 niter:374450  1959m 23s (- 1046m 48s) completed: 65%) loss_emb: 0.0000  loss: 1.3342  loss_TTT: 0.0485  acc: 0.6117  lr: 0.0000 
ep/it:977- 308 niter:374500  1959m 37s (- 1046m 31s) completed: 65%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0513  acc: 0.6015  lr: 0.0000 
ep/it:977- 358 niter:374550  1959m 52s (- 1046m 15s) completed: 65%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0477  acc: 0.5944  lr: 0.0000 
Validation loss:1.582, accuracy:0.568
ep/it:978-  25 niter:374600  1960m 9s (- 1046m 0s) completed: 65%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0493  acc: 0.5970  lr: 0.0000 
ep/it:978-  75 niter:374650  1960m 23s (- 1045m 44s) completed: 65%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0496  acc: 0.6064  lr: 0.0000 
ep/it:978- 125 niter:374700  1960m 37s (- 1045m 27s) completed: 65%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0486  acc: 0.6046  lr: 0.0000 
ep/it:978- 175 niter:374750  1960m 53s (- 1045m 11s) completed: 65%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0487  acc: 0.6024  lr: 0.0000 
ep/it:978- 225 niter:374800  1961m 7s (- 1044m 55s) completed: 65%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0486  acc: 0.6000  lr: 0.0000 
ep/it:978- 275 niter:374850  1961m 22s (- 1044m 39s) completed: 65%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0487  acc: 0.5944  lr: 0.0000 
ep/it:978- 325 niter:374900  1961m 36s (- 1044m 22s) completed: 65%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0493  acc: 0.6042  lr: 0.0000 
ep/it:978- 375 niter:374950  1961m 50s (- 1044m 6s) completed: 65%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0495  acc: 0.5917  lr: 0.0000 
Validation loss:1.572, accuracy:0.569
ep/it:979-  42 niter:375000  1962m 8s (- 1043m 51s) completed: 65%) loss_emb: 0.0000  loss: 1.3378  loss_TTT: 0.0476  acc: 0.6114  lr: 0.0000 
ep/it:979-  92 niter:375050  1962m 23s (- 1043m 35s) completed: 65%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0474  acc: 0.5971  lr: 0.0000 
ep/it:979- 142 niter:375100  1962m 37s (- 1043m 19s) completed: 65%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0489  acc: 0.6010  lr: 0.0000 
ep/it:979- 192 niter:375150  1962m 52s (- 1043m 2s) completed: 65%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0485  acc: 0.5946  lr: 0.0000 
ep/it:979- 242 niter:375200  1963m 6s (- 1042m 46s) completed: 65%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0490  acc: 0.5945  lr: 0.0000 
ep/it:979- 292 niter:375250  1963m 21s (- 1042m 30s) completed: 65%) loss_emb: 0.0000  loss: 1.4570  loss_TTT: 0.0500  acc: 0.5808  lr: 0.0000 
ep/it:979- 342 niter:375300  1963m 35s (- 1042m 13s) completed: 65%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0493  acc: 0.5969  lr: 0.0000 
Validation loss:1.579, accuracy:0.568

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.52it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.60620662663132 avg: 38.60620662663132
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.02728252392262 avg: 38.81674457527697
--> 	 Eva. Repeat 0 :, FID. 0.0826, Diversity Real. 9.7184, Diversity. 9.5008, R_precision_real. [0.51367188 0.71191406 0.80273438], R_precision. [0.50976562 0.68261719 0.78808594], matching_score_real. 2.9307, matching_score_pred. 3.0057, skate_ratio. 0.0491, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0625 (traj_fail_50cm (Traj err)): 0.0117 (kps_fail_20cm): 0.0150 (kps_fail_50cm (Loc. err)): 0.0009 (kps_mean_err(m) (Avg. err)): 0.0291 
ep/it:980-   9 niter:375350  1965m 11s (- 1042m 40s) completed: 65%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0482  acc: 0.6027  lr: 0.0000 
ep/it:980-  59 niter:375400  1965m 26s (- 1042m 24s) completed: 65%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0502  acc: 0.5979  lr: 0.0000 
ep/it:980- 109 niter:375450  1965m 40s (- 1042m 7s) completed: 65%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0488  acc: 0.6050  lr: 0.0000 
ep/it:980- 159 niter:375500  1965m 54s (- 1041m 51s) completed: 65%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0490  acc: 0.5897  lr: 0.0000 
ep/it:980- 209 niter:375550  1966m 10s (- 1041m 35s) completed: 65%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0490  acc: 0.5987  lr: 0.0000 
ep/it:980- 259 niter:375600  1966m 24s (- 1041m 18s) completed: 65%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0481  acc: 0.6009  lr: 0.0000 
ep/it:980- 309 niter:375650  1966m 39s (- 1041m 2s) completed: 65%) loss_emb: 0.0000  loss: 1.3330  loss_TTT: 0.0471  acc: 0.6139  lr: 0.0000 
ep/it:980- 359 niter:375700  1966m 53s (- 1040m 46s) completed: 65%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0477  acc: 0.6032  lr: 0.0000 
Validation loss:1.557, accuracy:0.572
ep/it:981-  26 niter:375750  1967m 10s (- 1040m 31s) completed: 65%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0491  acc: 0.6004  lr: 0.0000 
ep/it:981-  76 niter:375800  1967m 25s (- 1040m 15s) completed: 65%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0477  acc: 0.6013  lr: 0.0000 
ep/it:981- 126 niter:375850  1967m 39s (- 1039m 58s) completed: 65%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0485  acc: 0.5930  lr: 0.0000 
ep/it:981- 176 niter:375900  1967m 54s (- 1039m 42s) completed: 65%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0480  acc: 0.5965  lr: 0.0000 
ep/it:981- 226 niter:375950  1968m 8s (- 1039m 25s) completed: 65%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0517  acc: 0.5961  lr: 0.0000 
ep/it:981- 276 niter:376000  1968m 22s (- 1039m 9s) completed: 65%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0484  acc: 0.6091  lr: 0.0000 
ep/it:981- 326 niter:376050  1968m 37s (- 1038m 53s) completed: 65%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0486  acc: 0.5922  lr: 0.0000 
ep/it:981- 376 niter:376100  1968m 51s (- 1038m 36s) completed: 65%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0491  acc: 0.6001  lr: 0.0000 
Validation loss:1.568, accuracy:0.569
ep/it:982-  43 niter:376150  1969m 8s (- 1038m 21s) completed: 65%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0504  acc: 0.5931  lr: 0.0000 
ep/it:982-  93 niter:376200  1969m 23s (- 1038m 5s) completed: 65%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0477  acc: 0.5980  lr: 0.0000 
ep/it:982- 143 niter:376250  1969m 37s (- 1037m 48s) completed: 65%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0492  acc: 0.5967  lr: 0.0000 
ep/it:982- 193 niter:376300  1969m 51s (- 1037m 32s) completed: 65%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0461  acc: 0.5984  lr: 0.0000 
ep/it:982- 243 niter:376350  1970m 6s (- 1037m 16s) completed: 65%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0486  acc: 0.5978  lr: 0.0000 
ep/it:982- 293 niter:376400  1970m 20s (- 1036m 59s) completed: 65%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0475  acc: 0.5993  lr: 0.0000 
ep/it:982- 343 niter:376450  1970m 35s (- 1036m 43s) completed: 65%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0485  acc: 0.5887  lr: 0.0000 
Validation loss:1.628, accuracy:0.557
ep/it:983-  10 niter:376500  1970m 52s (- 1036m 28s) completed: 65%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0480  acc: 0.5946  lr: 0.0000 
ep/it:983-  60 niter:376550  1971m 6s (- 1036m 11s) completed: 65%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0481  acc: 0.5878  lr: 0.0000 
ep/it:983- 110 niter:376600  1971m 20s (- 1035m 55s) completed: 65%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0489  acc: 0.5981  lr: 0.0000 
ep/it:983- 160 niter:376650  1971m 35s (- 1035m 39s) completed: 65%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0482  acc: 0.5985  lr: 0.0000 
ep/it:983- 210 niter:376700  1971m 49s (- 1035m 22s) completed: 65%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0473  acc: 0.5916  lr: 0.0000 
ep/it:983- 260 niter:376750  1972m 4s (- 1035m 6s) completed: 65%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0467  acc: 0.5919  lr: 0.0000 
ep/it:983- 310 niter:376800  1972m 19s (- 1034m 50s) completed: 65%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0476  acc: 0.5986  lr: 0.0000 
ep/it:983- 360 niter:376850  1972m 33s (- 1034m 34s) completed: 65%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0486  acc: 0.6028  lr: 0.0000 
Validation loss:1.606, accuracy:0.560
ep/it:984-  27 niter:376900  1972m 51s (- 1034m 19s) completed: 65%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0478  acc: 0.5923  lr: 0.0000 
ep/it:984-  77 niter:376950  1973m 5s (- 1034m 2s) completed: 65%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0479  acc: 0.5984  lr: 0.0000 
ep/it:984- 127 niter:377000  1973m 19s (- 1033m 46s) completed: 65%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0463  acc: 0.5994  lr: 0.0000 
ep/it:984- 177 niter:377050  1973m 34s (- 1033m 30s) completed: 65%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0450  acc: 0.6041  lr: 0.0000 
ep/it:984- 227 niter:377100  1973m 49s (- 1033m 13s) completed: 65%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0494  acc: 0.5949  lr: 0.0000 
ep/it:984- 277 niter:377150  1974m 3s (- 1032m 57s) completed: 65%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0470  acc: 0.6010  lr: 0.0000 
ep/it:984- 327 niter:377200  1974m 17s (- 1032m 40s) completed: 65%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0481  acc: 0.6017  lr: 0.0000 
ep/it:984- 377 niter:377250  1974m 31s (- 1032m 24s) completed: 65%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0495  acc: 0.5932  lr: 0.0000 
Validation loss:1.633, accuracy:0.556
ep/it:985-  44 niter:377300  1974m 49s (- 1032m 9s) completed: 65%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0469  acc: 0.5993  lr: 0.0000 
ep/it:985-  94 niter:377350  1975m 3s (- 1031m 53s) completed: 65%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0472  acc: 0.6021  lr: 0.0000 
ep/it:985- 144 niter:377400  1975m 17s (- 1031m 36s) completed: 65%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0478  acc: 0.6063  lr: 0.0000 
ep/it:985- 194 niter:377450  1975m 32s (- 1031m 20s) completed: 65%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0479  acc: 0.6037  lr: 0.0000 
ep/it:985- 244 niter:377500  1975m 46s (- 1031m 4s) completed: 65%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0522  acc: 0.5890  lr: 0.0000 
ep/it:985- 294 niter:377550  1976m 1s (- 1030m 48s) completed: 65%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0497  acc: 0.5933  lr: 0.0000 
ep/it:985- 344 niter:377600  1976m 16s (- 1030m 31s) completed: 65%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0490  acc: 0.6022  lr: 0.0000 
Validation loss:1.627, accuracy:0.554
ep/it:986-  11 niter:377650  1976m 32s (- 1030m 16s) completed: 65%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0477  acc: 0.6049  lr: 0.0000 
ep/it:986-  61 niter:377700  1976m 47s (- 1030m 0s) completed: 65%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0485  acc: 0.5974  lr: 0.0000 
ep/it:986- 111 niter:377750  1977m 2s (- 1029m 44s) completed: 65%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0482  acc: 0.6036  lr: 0.0000 
ep/it:986- 161 niter:377800  1977m 16s (- 1029m 27s) completed: 65%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0492  acc: 0.5993  lr: 0.0000 
ep/it:986- 211 niter:377850  1977m 31s (- 1029m 11s) completed: 65%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0498  acc: 0.6020  lr: 0.0000 
ep/it:986- 261 niter:377900  1977m 45s (- 1028m 54s) completed: 65%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0494  acc: 0.6041  lr: 0.0000 
ep/it:986- 311 niter:377950  1977m 59s (- 1028m 38s) completed: 65%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0495  acc: 0.5968  lr: 0.0000 
ep/it:986- 361 niter:378000  1978m 14s (- 1028m 22s) completed: 65%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0501  acc: 0.5988  lr: 0.0000 
Validation loss:1.615, accuracy:0.559
ep/it:987-  28 niter:378050  1978m 31s (- 1028m 7s) completed: 65%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0469  acc: 0.5964  lr: 0.0000 
ep/it:987-  78 niter:378100  1978m 45s (- 1027m 50s) completed: 65%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0489  acc: 0.5966  lr: 0.0000 
ep/it:987- 128 niter:378150  1978m 59s (- 1027m 34s) completed: 65%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0472  acc: 0.6058  lr: 0.0000 
ep/it:987- 178 niter:378200  1979m 13s (- 1027m 17s) completed: 65%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0484  acc: 0.6069  lr: 0.0000 
ep/it:987- 228 niter:378250  1979m 27s (- 1027m 0s) completed: 65%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0465  acc: 0.5964  lr: 0.0000 
ep/it:987- 278 niter:378300  1979m 41s (- 1026m 44s) completed: 65%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0490  acc: 0.6060  lr: 0.0000 
ep/it:987- 328 niter:378350  1979m 55s (- 1026m 27s) completed: 65%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0502  acc: 0.5991  lr: 0.0000 
ep/it:987- 378 niter:378400  1980m 10s (- 1026m 11s) completed: 65%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0468  acc: 0.5955  lr: 0.0000 
Validation loss:1.612, accuracy:0.560
ep/it:988-  45 niter:378450  1980m 27s (- 1025m 56s) completed: 65%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0488  acc: 0.5972  lr: 0.0000 
ep/it:988-  95 niter:378500  1980m 41s (- 1025m 40s) completed: 65%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0482  acc: 0.5969  lr: 0.0000 
ep/it:988- 145 niter:378550  1980m 56s (- 1025m 24s) completed: 65%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0489  acc: 0.5949  lr: 0.0000 
ep/it:988- 195 niter:378600  1981m 10s (- 1025m 7s) completed: 65%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0499  acc: 0.5952  lr: 0.0000 
ep/it:988- 245 niter:378650  1981m 24s (- 1024m 50s) completed: 65%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0475  acc: 0.5996  lr: 0.0000 
ep/it:988- 295 niter:378700  1981m 38s (- 1024m 34s) completed: 65%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0498  acc: 0.5988  lr: 0.0000 
ep/it:988- 345 niter:378750  1981m 52s (- 1024m 17s) completed: 65%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0478  acc: 0.5938  lr: 0.0000 
Validation loss:1.575, accuracy:0.571
ep/it:989-  12 niter:378800  1982m 9s (- 1024m 2s) completed: 65%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0486  acc: 0.5911  lr: 0.0000 
ep/it:989-  62 niter:378850  1982m 23s (- 1023m 46s) completed: 65%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0489  acc: 0.5983  lr: 0.0000 
ep/it:989- 112 niter:378900  1982m 37s (- 1023m 29s) completed: 65%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0503  acc: 0.5944  lr: 0.0000 
ep/it:989- 162 niter:378950  1982m 51s (- 1023m 13s) completed: 65%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0493  acc: 0.5967  lr: 0.0000 
ep/it:989- 212 niter:379000  1983m 6s (- 1022m 56s) completed: 65%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0507  acc: 0.5973  lr: 0.0000 
ep/it:989- 262 niter:379050  1983m 20s (- 1022m 40s) completed: 65%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0485  acc: 0.6000  lr: 0.0000 
ep/it:989- 312 niter:379100  1983m 34s (- 1022m 23s) completed: 65%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0496  acc: 0.5991  lr: 0.0000 
ep/it:989- 362 niter:379150  1983m 48s (- 1022m 7s) completed: 65%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0507  acc: 0.5971  lr: 0.0000 
Validation loss:1.559, accuracy:0.575

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.70it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.007504377514124 avg: 39.007504377514124
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.48180134780705 avg: 38.74465286266059
--> 	 Eva. Repeat 0 :, FID. 0.0601, Diversity Real. 9.7383, Diversity. 9.6604, R_precision_real. [0.50683594 0.70703125 0.78808594], R_precision. [0.52050781 0.71777344 0.81445312], matching_score_real. 2.9573, matching_score_pred. 2.9335, skate_ratio. 0.0478, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0635 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0139 (kps_fail_50cm (Loc. err)): 0.0024 (kps_mean_err(m) (Avg. err)): 0.0302 
ep/it:990-  29 niter:379200  1985m 23s (- 1022m 32s) completed: 66%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0500  acc: 0.5945  lr: 0.0000 
ep/it:990-  79 niter:379250  1985m 37s (- 1022m 15s) completed: 66%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0485  acc: 0.6022  lr: 0.0000 
ep/it:990- 129 niter:379300  1985m 51s (- 1021m 59s) completed: 66%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0484  acc: 0.5921  lr: 0.0000 
ep/it:990- 179 niter:379350  1986m 5s (- 1021m 42s) completed: 66%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0464  acc: 0.5953  lr: 0.0000 
ep/it:990- 229 niter:379400  1986m 19s (- 1021m 26s) completed: 66%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0486  acc: 0.6023  lr: 0.0000 
ep/it:990- 279 niter:379450  1986m 33s (- 1021m 9s) completed: 66%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0505  acc: 0.5956  lr: 0.0000 
ep/it:990- 329 niter:379500  1986m 47s (- 1020m 52s) completed: 66%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0494  acc: 0.5992  lr: 0.0000 
ep/it:990- 379 niter:379550  1987m 1s (- 1020m 36s) completed: 66%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0507  acc: 0.5971  lr: 0.0000 
Validation loss:1.606, accuracy:0.562
ep/it:991-  46 niter:379600  1987m 19s (- 1020m 21s) completed: 66%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0503  acc: 0.5952  lr: 0.0000 
ep/it:991-  96 niter:379650  1987m 33s (- 1020m 5s) completed: 66%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0505  acc: 0.5952  lr: 0.0000 
ep/it:991- 146 niter:379700  1987m 47s (- 1019m 48s) completed: 66%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0468  acc: 0.5972  lr: 0.0000 
ep/it:991- 196 niter:379750  1988m 1s (- 1019m 31s) completed: 66%) loss_emb: 0.0000  loss: 1.4245  loss_TTT: 0.0488  acc: 0.5901  lr: 0.0000 
ep/it:991- 246 niter:379800  1988m 15s (- 1019m 15s) completed: 66%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0490  acc: 0.5984  lr: 0.0000 
ep/it:991- 296 niter:379850  1988m 29s (- 1018m 58s) completed: 66%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0492  acc: 0.5991  lr: 0.0000 
ep/it:991- 346 niter:379900  1988m 43s (- 1018m 42s) completed: 66%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0521  acc: 0.5966  lr: 0.0000 
Validation loss:1.583, accuracy:0.568
ep/it:992-  13 niter:379950  1989m 0s (- 1018m 27s) completed: 66%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0505  acc: 0.5956  lr: 0.0000 
ep/it:992-  63 niter:380000  1989m 13s (- 1018m 10s) completed: 66%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0499  acc: 0.5970  lr: 0.0000 
ep/it:992- 113 niter:380050  1989m 28s (- 1017m 54s) completed: 66%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0513  acc: 0.5957  lr: 0.0000 
ep/it:992- 163 niter:380100  1989m 42s (- 1017m 37s) completed: 66%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0469  acc: 0.6010  lr: 0.0000 
ep/it:992- 213 niter:380150  1989m 56s (- 1017m 20s) completed: 66%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0479  acc: 0.6021  lr: 0.0000 
ep/it:992- 263 niter:380200  1990m 10s (- 1017m 4s) completed: 66%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0486  acc: 0.6044  lr: 0.0000 
ep/it:992- 313 niter:380250  1990m 25s (- 1016m 48s) completed: 66%) loss_emb: 0.0000  loss: 1.3467  loss_TTT: 0.0476  acc: 0.6104  lr: 0.0000 
ep/it:992- 363 niter:380300  1990m 39s (- 1016m 31s) completed: 66%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0494  acc: 0.6002  lr: 0.0000 
Validation loss:1.564, accuracy:0.571
ep/it:993-  30 niter:380350  1990m 56s (- 1016m 16s) completed: 66%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0473  acc: 0.6033  lr: 0.0000 
ep/it:993-  80 niter:380400  1991m 10s (- 1016m 0s) completed: 66%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0484  acc: 0.5999  lr: 0.0000 
ep/it:993- 130 niter:380450  1991m 25s (- 1015m 43s) completed: 66%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0489  acc: 0.5948  lr: 0.0000 
ep/it:993- 180 niter:380500  1991m 39s (- 1015m 27s) completed: 66%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0487  acc: 0.5924  lr: 0.0000 
ep/it:993- 230 niter:380550  1991m 53s (- 1015m 10s) completed: 66%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0489  acc: 0.5987  lr: 0.0000 
ep/it:993- 280 niter:380600  1992m 7s (- 1014m 54s) completed: 66%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0465  acc: 0.5982  lr: 0.0000 
ep/it:993- 330 niter:380650  1992m 21s (- 1014m 37s) completed: 66%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0498  acc: 0.5960  lr: 0.0000 
ep/it:993- 380 niter:380700  1992m 36s (- 1014m 21s) completed: 66%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0479  acc: 0.6008  lr: 0.0000 
Validation loss:1.590, accuracy:0.566
ep/it:994-  47 niter:380750  1992m 53s (- 1014m 6s) completed: 66%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0481  acc: 0.5973  lr: 0.0000 
ep/it:994-  97 niter:380800  1993m 8s (- 1013m 50s) completed: 66%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0476  acc: 0.5972  lr: 0.0000 
ep/it:994- 147 niter:380850  1993m 22s (- 1013m 34s) completed: 66%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0479  acc: 0.6047  lr: 0.0000 
ep/it:994- 197 niter:380900  1993m 37s (- 1013m 18s) completed: 66%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0481  acc: 0.6006  lr: 0.0000 
ep/it:994- 247 niter:380950  1993m 51s (- 1013m 1s) completed: 66%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0490  acc: 0.6024  lr: 0.0000 
ep/it:994- 297 niter:381000  1994m 5s (- 1012m 44s) completed: 66%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0485  acc: 0.6009  lr: 0.0000 
ep/it:994- 347 niter:381050  1994m 20s (- 1012m 28s) completed: 66%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0476  acc: 0.6030  lr: 0.0000 
Validation loss:1.586, accuracy:0.567
ep/it:995-  14 niter:381100  1994m 36s (- 1012m 13s) completed: 66%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0457  acc: 0.5981  lr: 0.0000 
ep/it:995-  64 niter:381150  1994m 51s (- 1011m 57s) completed: 66%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0505  acc: 0.6032  lr: 0.0000 
ep/it:995- 114 niter:381200  1995m 6s (- 1011m 40s) completed: 66%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0465  acc: 0.5980  lr: 0.0000 
ep/it:995- 164 niter:381250  1995m 20s (- 1011m 24s) completed: 66%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0479  acc: 0.6015  lr: 0.0000 
ep/it:995- 214 niter:381300  1995m 35s (- 1011m 8s) completed: 66%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0470  acc: 0.6038  lr: 0.0000 
ep/it:995- 264 niter:381350  1995m 49s (- 1010m 52s) completed: 66%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0477  acc: 0.6011  lr: 0.0000 
ep/it:995- 314 niter:381400  1996m 4s (- 1010m 35s) completed: 66%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0480  acc: 0.5947  lr: 0.0000 
ep/it:995- 364 niter:381450  1996m 18s (- 1010m 19s) completed: 66%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0464  acc: 0.6008  lr: 0.0000 
Validation loss:1.598, accuracy:0.562
ep/it:996-  31 niter:381500  1996m 35s (- 1010m 4s) completed: 66%) loss_emb: 0.0000  loss: 1.3418  loss_TTT: 0.0456  acc: 0.6091  lr: 0.0000 
ep/it:996-  81 niter:381550  1996m 50s (- 1009m 48s) completed: 66%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0473  acc: 0.5960  lr: 0.0000 
ep/it:996- 131 niter:381600  1997m 4s (- 1009m 31s) completed: 66%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0474  acc: 0.6010  lr: 0.0000 
ep/it:996- 181 niter:381650  1997m 18s (- 1009m 14s) completed: 66%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0462  acc: 0.5942  lr: 0.0000 
ep/it:996- 231 niter:381700  1997m 32s (- 1008m 58s) completed: 66%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0491  acc: 0.5987  lr: 0.0000 
ep/it:996- 281 niter:381750  1997m 46s (- 1008m 41s) completed: 66%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0482  acc: 0.5942  lr: 0.0000 
ep/it:996- 331 niter:381800  1998m 0s (- 1008m 25s) completed: 66%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0470  acc: 0.5954  lr: 0.0000 
ep/it:996- 381 niter:381850  1998m 14s (- 1008m 9s) completed: 66%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0480  acc: 0.6010  lr: 0.0000 
Validation loss:1.550, accuracy:0.575
ep/it:997-  48 niter:381900  1998m 31s (- 1007m 53s) completed: 66%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0497  acc: 0.5982  lr: 0.0000 
ep/it:997-  98 niter:381950  1998m 46s (- 1007m 37s) completed: 66%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0474  acc: 0.6029  lr: 0.0000 
ep/it:997- 148 niter:382000  1999m 0s (- 1007m 21s) completed: 66%) loss_emb: 0.0000  loss: 1.3351  loss_TTT: 0.0462  acc: 0.6110  lr: 0.0000 
ep/it:997- 198 niter:382050  1999m 14s (- 1007m 4s) completed: 66%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0478  acc: 0.5985  lr: 0.0000 
ep/it:997- 248 niter:382100  1999m 28s (- 1006m 48s) completed: 66%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0488  acc: 0.6014  lr: 0.0000 
ep/it:997- 298 niter:382150  1999m 42s (- 1006m 31s) completed: 66%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0471  acc: 0.5976  lr: 0.0000 
ep/it:997- 348 niter:382200  1999m 56s (- 1006m 14s) completed: 66%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0502  acc: 0.6037  lr: 0.0000 
Validation loss:1.590, accuracy:0.567
ep/it:998-  15 niter:382250  2000m 13s (- 1005m 59s) completed: 66%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0482  acc: 0.6023  lr: 0.0000 
ep/it:998-  65 niter:382300  2000m 27s (- 1005m 43s) completed: 66%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0472  acc: 0.5961  lr: 0.0000 
ep/it:998- 115 niter:382350  2000m 41s (- 1005m 26s) completed: 66%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0482  acc: 0.5933  lr: 0.0000 
ep/it:998- 165 niter:382400  2000m 55s (- 1005m 10s) completed: 66%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0477  acc: 0.5953  lr: 0.0000 
ep/it:998- 215 niter:382450  2001m 9s (- 1004m 53s) completed: 66%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0479  acc: 0.6009  lr: 0.0000 
ep/it:998- 265 niter:382500  2001m 23s (- 1004m 37s) completed: 66%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0484  acc: 0.5953  lr: 0.0000 
ep/it:998- 315 niter:382550  2001m 37s (- 1004m 20s) completed: 66%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0490  acc: 0.6058  lr: 0.0000 
ep/it:998- 365 niter:382600  2001m 52s (- 1004m 4s) completed: 66%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0480  acc: 0.6079  lr: 0.0000 
Validation loss:1.585, accuracy:0.567
ep/it:999-  32 niter:382650  2002m 9s (- 1003m 49s) completed: 66%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0467  acc: 0.5972  lr: 0.0000 
ep/it:999-  82 niter:382700  2002m 24s (- 1003m 33s) completed: 66%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0463  acc: 0.5960  lr: 0.0000 
ep/it:999- 132 niter:382750  2002m 39s (- 1003m 17s) completed: 66%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0477  acc: 0.6015  lr: 0.0000 
ep/it:999- 182 niter:382800  2002m 54s (- 1003m 1s) completed: 66%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0489  acc: 0.5937  lr: 0.0000 
ep/it:999- 232 niter:382850  2003m 8s (- 1002m 45s) completed: 66%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0466  acc: 0.5978  lr: 0.0000 
ep/it:999- 282 niter:382900  2003m 23s (- 1002m 28s) completed: 66%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0487  acc: 0.6010  lr: 0.0000 
ep/it:999- 332 niter:382950  2003m 37s (- 1002m 12s) completed: 66%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0472  acc: 0.5969  lr: 0.0000 
ep/it:999- 382 niter:383000  2003m 52s (- 1001m 56s) completed: 66%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0471  acc: 0.5944  lr: 0.0000 
Validation loss:1.571, accuracy:0.569

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.94it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.00985962059349 avg: 39.00985962059349
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.487421735189855 avg: 38.74864067789167
--> 	 Eva. Repeat 0 :, FID. 0.0644, Diversity Real. 9.4422, Diversity. 9.8655, R_precision_real. [0.50683594 0.7109375  0.80273438], R_precision. [0.50292969 0.71386719 0.80078125], matching_score_real. 2.8512, matching_score_pred. 2.9456, skate_ratio. 0.0491, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0113 (kps_fail_50cm (Loc. err)): 0.0009 (kps_mean_err(m) (Avg. err)): 0.0274 
ep/it:1000-  49 niter:383050  2005m 28s (- 1002m 20s) completed: 66%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0481  acc: 0.5978  lr: 0.0000 
ep/it:1000-  99 niter:383100  2005m 42s (- 1002m 4s) completed: 66%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0465  acc: 0.6021  lr: 0.0000 
ep/it:1000- 149 niter:383150  2005m 56s (- 1001m 47s) completed: 66%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0477  acc: 0.5994  lr: 0.0000 
ep/it:1000- 199 niter:383200  2006m 11s (- 1001m 31s) completed: 66%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0489  acc: 0.5965  lr: 0.0000 
ep/it:1000- 249 niter:383250  2006m 25s (- 1001m 14s) completed: 66%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0490  acc: 0.5919  lr: 0.0000 
ep/it:1000- 299 niter:383300  2006m 39s (- 1000m 58s) completed: 66%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0475  acc: 0.5946  lr: 0.0000 
ep/it:1000- 349 niter:383350  2006m 54s (- 1000m 42s) completed: 66%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0477  acc: 0.5903  lr: 0.0000 
Validation loss:1.612, accuracy:0.560
ep/it:1001-  16 niter:383400  2007m 11s (- 1000m 27s) completed: 66%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0480  acc: 0.6000  lr: 0.0000 
ep/it:1001-  66 niter:383450  2007m 25s (- 1000m 10s) completed: 66%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0473  acc: 0.6004  lr: 0.0000 
ep/it:1001- 116 niter:383500  2007m 39s (- 999m 54s) completed: 66%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0494  acc: 0.6048  lr: 0.0000 
ep/it:1001- 166 niter:383550  2007m 54s (- 999m 37s) completed: 66%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0472  acc: 0.6010  lr: 0.0000 
ep/it:1001- 216 niter:383600  2008m 8s (- 999m 21s) completed: 66%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0477  acc: 0.5982  lr: 0.0000 
ep/it:1001- 266 niter:383650  2008m 23s (- 999m 5s) completed: 66%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0491  acc: 0.5973  lr: 0.0000 
ep/it:1001- 316 niter:383700  2008m 37s (- 998m 49s) completed: 66%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0473  acc: 0.6034  lr: 0.0000 
ep/it:1001- 366 niter:383750  2008m 51s (- 998m 32s) completed: 66%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0483  acc: 0.6013  lr: 0.0000 
Validation loss:1.620, accuracy:0.558
ep/it:1002-  33 niter:383800  2009m 8s (- 998m 17s) completed: 66%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0476  acc: 0.6025  lr: 0.0000 
ep/it:1002-  83 niter:383850  2009m 22s (- 998m 0s) completed: 66%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0485  acc: 0.6073  lr: 0.0000 
ep/it:1002- 133 niter:383900  2009m 36s (- 997m 44s) completed: 66%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0466  acc: 0.5960  lr: 0.0000 
ep/it:1002- 183 niter:383950  2009m 50s (- 997m 27s) completed: 66%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0478  acc: 0.6010  lr: 0.0000 
ep/it:1002- 233 niter:384000  2010m 4s (- 997m 11s) completed: 66%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0491  acc: 0.5957  lr: 0.0000 
ep/it:1002- 283 niter:384050  2010m 18s (- 996m 54s) completed: 66%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0478  acc: 0.5939  lr: 0.0000 
ep/it:1002- 333 niter:384100  2010m 33s (- 996m 38s) completed: 66%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0473  acc: 0.5954  lr: 0.0000 
Validation loss:1.598, accuracy:0.563
ep/it:1003-   0 niter:384150  2010m 49s (- 996m 23s) completed: 66%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0464  acc: 0.5994  lr: 0.0000 
ep/it:1003-  50 niter:384200  2011m 3s (- 996m 6s) completed: 66%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0471  acc: 0.6002  lr: 0.0000 
ep/it:1003- 100 niter:384250  2011m 18s (- 995m 50s) completed: 66%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0490  acc: 0.6023  lr: 0.0000 
ep/it:1003- 150 niter:384300  2011m 32s (- 995m 33s) completed: 66%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0489  acc: 0.5957  lr: 0.0000 
ep/it:1003- 200 niter:384350  2011m 46s (- 995m 17s) completed: 66%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0460  acc: 0.6045  lr: 0.0000 
ep/it:1003- 250 niter:384400  2012m 0s (- 995m 0s) completed: 66%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0487  acc: 0.5998  lr: 0.0000 
ep/it:1003- 300 niter:384450  2012m 14s (- 994m 44s) completed: 66%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0483  acc: 0.5997  lr: 0.0000 
ep/it:1003- 350 niter:384500  2012m 28s (- 994m 27s) completed: 66%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0472  acc: 0.5989  lr: 0.0000 
Validation loss:1.565, accuracy:0.568
ep/it:1004-  17 niter:384550  2012m 45s (- 994m 12s) completed: 66%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0470  acc: 0.6062  lr: 0.0000 
ep/it:1004-  67 niter:384600  2012m 59s (- 993m 56s) completed: 66%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0488  acc: 0.6025  lr: 0.0000 
ep/it:1004- 117 niter:384650  2013m 13s (- 993m 39s) completed: 66%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0474  acc: 0.5944  lr: 0.0000 
ep/it:1004- 167 niter:384700  2013m 27s (- 993m 23s) completed: 66%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0481  acc: 0.6026  lr: 0.0000 
ep/it:1004- 217 niter:384750  2013m 42s (- 993m 6s) completed: 66%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0486  acc: 0.5955  lr: 0.0000 
ep/it:1004- 267 niter:384800  2013m 56s (- 992m 50s) completed: 66%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0456  acc: 0.5957  lr: 0.0000 
ep/it:1004- 317 niter:384850  2014m 10s (- 992m 34s) completed: 66%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0472  acc: 0.6042  lr: 0.0000 
ep/it:1004- 367 niter:384900  2014m 25s (- 992m 17s) completed: 66%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0486  acc: 0.6045  lr: 0.0000 
Validation loss:1.619, accuracy:0.558
ep/it:1005-  34 niter:384950  2014m 42s (- 992m 2s) completed: 67%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0491  acc: 0.6052  lr: 0.0000 
ep/it:1005-  84 niter:385000  2014m 57s (- 991m 46s) completed: 67%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0477  acc: 0.5968  lr: 0.0000 
ep/it:1005- 134 niter:385050  2015m 12s (- 991m 30s) completed: 67%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0458  acc: 0.6013  lr: 0.0000 
ep/it:1005- 184 niter:385100  2015m 26s (- 991m 14s) completed: 67%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0469  acc: 0.5943  lr: 0.0000 
ep/it:1005- 234 niter:385150  2015m 40s (- 990m 57s) completed: 67%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0456  acc: 0.5998  lr: 0.0000 
ep/it:1005- 284 niter:385200  2015m 55s (- 990m 41s) completed: 67%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0492  acc: 0.6001  lr: 0.0000 
ep/it:1005- 334 niter:385250  2016m 9s (- 990m 25s) completed: 67%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0474  acc: 0.5970  lr: 0.0000 
Validation loss:1.592, accuracy:0.564
ep/it:1006-   1 niter:385300  2016m 27s (- 990m 10s) completed: 67%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0482  acc: 0.6027  lr: 0.0000 
ep/it:1006-  51 niter:385350  2016m 41s (- 989m 53s) completed: 67%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0485  acc: 0.5999  lr: 0.0000 
ep/it:1006- 101 niter:385400  2016m 56s (- 989m 37s) completed: 67%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0472  acc: 0.6004  lr: 0.0000 
ep/it:1006- 151 niter:385450  2017m 11s (- 989m 21s) completed: 67%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0482  acc: 0.6048  lr: 0.0000 
ep/it:1006- 201 niter:385500  2017m 25s (- 989m 5s) completed: 67%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0466  acc: 0.5986  lr: 0.0000 
ep/it:1006- 251 niter:385550  2017m 40s (- 988m 49s) completed: 67%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0489  acc: 0.5964  lr: 0.0000 
ep/it:1006- 301 niter:385600  2017m 55s (- 988m 32s) completed: 67%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0464  acc: 0.6048  lr: 0.0000 
ep/it:1006- 351 niter:385650  2018m 9s (- 988m 16s) completed: 67%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0502  acc: 0.5973  lr: 0.0000 
Validation loss:1.582, accuracy:0.569
ep/it:1007-  18 niter:385700  2018m 26s (- 988m 1s) completed: 67%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0492  acc: 0.5946  lr: 0.0000 
ep/it:1007-  68 niter:385750  2018m 41s (- 987m 45s) completed: 67%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0480  acc: 0.6058  lr: 0.0000 
ep/it:1007- 118 niter:385800  2018m 55s (- 987m 28s) completed: 67%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0476  acc: 0.5962  lr: 0.0000 
ep/it:1007- 168 niter:385850  2019m 9s (- 987m 12s) completed: 67%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0488  acc: 0.6008  lr: 0.0000 
ep/it:1007- 218 niter:385900  2019m 23s (- 986m 56s) completed: 67%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0479  acc: 0.5982  lr: 0.0000 
ep/it:1007- 268 niter:385950  2019m 38s (- 986m 39s) completed: 67%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0478  acc: 0.6002  lr: 0.0000 
ep/it:1007- 318 niter:386000  2019m 52s (- 986m 23s) completed: 67%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0489  acc: 0.6005  lr: 0.0000 
ep/it:1007- 368 niter:386050  2020m 7s (- 986m 7s) completed: 67%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0502  acc: 0.5909  lr: 0.0000 
Validation loss:1.588, accuracy:0.565
ep/it:1008-  35 niter:386100  2020m 25s (- 985m 52s) completed: 67%) loss_emb: 0.0000  loss: 1.3487  loss_TTT: 0.0474  acc: 0.6081  lr: 0.0000 
ep/it:1008-  85 niter:386150  2020m 39s (- 985m 36s) completed: 67%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0483  acc: 0.5921  lr: 0.0000 
ep/it:1008- 135 niter:386200  2020m 53s (- 985m 19s) completed: 67%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0463  acc: 0.5938  lr: 0.0000 
ep/it:1008- 185 niter:386250  2021m 7s (- 985m 3s) completed: 67%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0462  acc: 0.6090  lr: 0.0000 
ep/it:1008- 235 niter:386300  2021m 21s (- 984m 46s) completed: 67%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0480  acc: 0.5939  lr: 0.0000 
ep/it:1008- 285 niter:386350  2021m 36s (- 984m 30s) completed: 67%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0480  acc: 0.6051  lr: 0.0000 
ep/it:1008- 335 niter:386400  2021m 51s (- 984m 14s) completed: 67%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0479  acc: 0.6019  lr: 0.0000 
Validation loss:1.564, accuracy:0.571
ep/it:1009-   2 niter:386450  2022m 7s (- 983m 59s) completed: 67%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0480  acc: 0.5975  lr: 0.0000 
ep/it:1009-  52 niter:386500  2022m 21s (- 983m 42s) completed: 67%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0476  acc: 0.6061  lr: 0.0000 
ep/it:1009- 102 niter:386550  2022m 36s (- 983m 26s) completed: 67%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0489  acc: 0.6004  lr: 0.0000 
ep/it:1009- 152 niter:386600  2022m 49s (- 983m 9s) completed: 67%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0461  acc: 0.6046  lr: 0.0000 
ep/it:1009- 202 niter:386650  2023m 4s (- 982m 53s) completed: 67%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0486  acc: 0.5945  lr: 0.0000 
ep/it:1009- 252 niter:386700  2023m 18s (- 982m 36s) completed: 67%) loss_emb: 0.0000  loss: 1.3400  loss_TTT: 0.0471  acc: 0.6116  lr: 0.0000 
ep/it:1009- 302 niter:386750  2023m 32s (- 982m 20s) completed: 67%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0474  acc: 0.6050  lr: 0.0000 
ep/it:1009- 352 niter:386800  2023m 46s (- 982m 3s) completed: 67%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0456  acc: 0.5948  lr: 0.0000 
Validation loss:1.586, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.88it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.53s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.21012052614242 avg: 39.21012052614242
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.50792022421956 avg: 38.85902037518099
--> 	 Eva. Repeat 0 :, FID. 0.0811, Diversity Real. 9.4933, Diversity. 9.6315, R_precision_real. [0.53417969 0.69238281 0.7890625 ], R_precision. [0.50292969 0.69433594 0.77734375], matching_score_real. 2.9110, matching_score_pred. 2.9986, skate_ratio. 0.0480, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0605 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0114 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0268 
ep/it:1010-  19 niter:386850  2025m 23s (- 982m 27s) completed: 67%) loss_emb: 0.0000  loss: 1.3507  loss_TTT: 0.0478  acc: 0.6068  lr: 0.0000 
ep/it:1010-  69 niter:386900  2025m 37s (- 982m 11s) completed: 67%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0473  acc: 0.6020  lr: 0.0000 
ep/it:1010- 119 niter:386950  2025m 52s (- 981m 54s) completed: 67%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0473  acc: 0.6039  lr: 0.0000 
ep/it:1010- 169 niter:387000  2026m 6s (- 981m 38s) completed: 67%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0458  acc: 0.5939  lr: 0.0000 
ep/it:1010- 219 niter:387050  2026m 21s (- 981m 22s) completed: 67%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0479  acc: 0.5990  lr: 0.0000 
ep/it:1010- 269 niter:387100  2026m 35s (- 981m 5s) completed: 67%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0478  acc: 0.5989  lr: 0.0000 
ep/it:1010- 319 niter:387150  2026m 50s (- 980m 49s) completed: 67%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0483  acc: 0.6033  lr: 0.0000 
ep/it:1010- 369 niter:387200  2027m 3s (- 980m 32s) completed: 67%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0468  acc: 0.5911  lr: 0.0000 
Validation loss:1.601, accuracy:0.561
ep/it:1011-  36 niter:387250  2027m 20s (- 980m 17s) completed: 67%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0480  acc: 0.6036  lr: 0.0000 
ep/it:1011-  86 niter:387300  2027m 35s (- 980m 1s) completed: 67%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0496  acc: 0.5928  lr: 0.0000 
ep/it:1011- 136 niter:387350  2027m 49s (- 979m 45s) completed: 67%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0482  acc: 0.5999  lr: 0.0000 
ep/it:1011- 186 niter:387400  2028m 4s (- 979m 28s) completed: 67%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0486  acc: 0.5941  lr: 0.0000 
ep/it:1011- 236 niter:387450  2028m 18s (- 979m 12s) completed: 67%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0487  acc: 0.6035  lr: 0.0000 
ep/it:1011- 286 niter:387500  2028m 32s (- 978m 56s) completed: 67%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0479  acc: 0.5900  lr: 0.0000 
ep/it:1011- 336 niter:387550  2028m 48s (- 978m 40s) completed: 67%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0479  acc: 0.6007  lr: 0.0000 
Validation loss:1.571, accuracy:0.570
ep/it:1012-   3 niter:387600  2029m 5s (- 978m 25s) completed: 67%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0475  acc: 0.6019  lr: 0.0000 
ep/it:1012-  53 niter:387650  2029m 20s (- 978m 9s) completed: 67%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0478  acc: 0.5999  lr: 0.0000 
ep/it:1012- 103 niter:387700  2029m 35s (- 977m 53s) completed: 67%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0459  acc: 0.6036  lr: 0.0000 
ep/it:1012- 153 niter:387750  2029m 49s (- 977m 36s) completed: 67%) loss_emb: 0.0000  loss: 1.3467  loss_TTT: 0.0466  acc: 0.6085  lr: 0.0000 
ep/it:1012- 203 niter:387800  2030m 4s (- 977m 20s) completed: 67%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0489  acc: 0.5993  lr: 0.0000 
ep/it:1012- 253 niter:387850  2030m 18s (- 977m 4s) completed: 67%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0482  acc: 0.6005  lr: 0.0000 
ep/it:1012- 303 niter:387900  2030m 33s (- 976m 48s) completed: 67%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0490  acc: 0.5959  lr: 0.0000 
ep/it:1012- 353 niter:387950  2030m 47s (- 976m 31s) completed: 67%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0474  acc: 0.5978  lr: 0.0000 
Validation loss:1.551, accuracy:0.576
ep/it:1013-  20 niter:388000  2031m 5s (- 976m 16s) completed: 67%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0472  acc: 0.5954  lr: 0.0000 
ep/it:1013-  70 niter:388050  2031m 19s (- 976m 0s) completed: 67%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0490  acc: 0.5992  lr: 0.0000 
ep/it:1013- 120 niter:388100  2031m 34s (- 975m 44s) completed: 67%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0478  acc: 0.5966  lr: 0.0000 
ep/it:1013- 170 niter:388150  2031m 48s (- 975m 28s) completed: 67%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0475  acc: 0.6000  lr: 0.0000 
ep/it:1013- 220 niter:388200  2032m 3s (- 975m 11s) completed: 67%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0463  acc: 0.5980  lr: 0.0000 
ep/it:1013- 270 niter:388250  2032m 17s (- 974m 55s) completed: 67%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0464  acc: 0.6015  lr: 0.0000 
ep/it:1013- 320 niter:388300  2032m 31s (- 974m 38s) completed: 67%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0475  acc: 0.5964  lr: 0.0000 
ep/it:1013- 370 niter:388350  2032m 45s (- 974m 22s) completed: 67%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0470  acc: 0.6019  lr: 0.0000 
Validation loss:1.594, accuracy:0.562
ep/it:1014-  37 niter:388400  2033m 2s (- 974m 7s) completed: 67%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0487  acc: 0.6012  lr: 0.0000 
ep/it:1014-  87 niter:388450  2033m 17s (- 973m 51s) completed: 67%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0481  acc: 0.6023  lr: 0.0000 
ep/it:1014- 137 niter:388500  2033m 31s (- 973m 34s) completed: 67%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0476  acc: 0.6045  lr: 0.0000 
ep/it:1014- 187 niter:388550  2033m 46s (- 973m 18s) completed: 67%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0479  acc: 0.6018  lr: 0.0000 
ep/it:1014- 237 niter:388600  2034m 1s (- 973m 2s) completed: 67%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0473  acc: 0.5971  lr: 0.0000 
ep/it:1014- 287 niter:388650  2034m 16s (- 972m 46s) completed: 67%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0477  acc: 0.6064  lr: 0.0000 
ep/it:1014- 337 niter:388700  2034m 30s (- 972m 29s) completed: 67%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0480  acc: 0.6008  lr: 0.0000 
Validation loss:1.612, accuracy:0.560
ep/it:1015-   4 niter:388750  2034m 47s (- 972m 14s) completed: 67%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0484  acc: 0.5969  lr: 0.0000 
ep/it:1015-  54 niter:388800  2035m 1s (- 971m 58s) completed: 67%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0469  acc: 0.6035  lr: 0.0000 
ep/it:1015- 104 niter:388850  2035m 16s (- 971m 42s) completed: 67%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0483  acc: 0.6012  lr: 0.0000 
ep/it:1015- 154 niter:388900  2035m 31s (- 971m 26s) completed: 67%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0482  acc: 0.5987  lr: 0.0000 
ep/it:1015- 204 niter:388950  2035m 45s (- 971m 9s) completed: 67%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0473  acc: 0.6018  lr: 0.0000 
ep/it:1015- 254 niter:389000  2035m 59s (- 970m 53s) completed: 67%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0452  acc: 0.6074  lr: 0.0000 
ep/it:1015- 304 niter:389050  2036m 14s (- 970m 37s) completed: 67%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0475  acc: 0.6019  lr: 0.0000 
ep/it:1015- 354 niter:389100  2036m 29s (- 970m 21s) completed: 67%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0483  acc: 0.6034  lr: 0.0000 
Validation loss:1.575, accuracy:0.569
ep/it:1016-  21 niter:389150  2036m 46s (- 970m 6s) completed: 67%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0484  acc: 0.5967  lr: 0.0000 
ep/it:1016-  71 niter:389200  2037m 0s (- 969m 49s) completed: 67%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0466  acc: 0.6032  lr: 0.0000 
ep/it:1016- 121 niter:389250  2037m 15s (- 969m 33s) completed: 67%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0476  acc: 0.6046  lr: 0.0000 
ep/it:1016- 171 niter:389300  2037m 29s (- 969m 17s) completed: 67%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0471  acc: 0.6016  lr: 0.0000 
ep/it:1016- 221 niter:389350  2037m 43s (- 969m 0s) completed: 67%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0459  acc: 0.6040  lr: 0.0000 
ep/it:1016- 271 niter:389400  2037m 58s (- 968m 44s) completed: 67%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0482  acc: 0.5991  lr: 0.0000 
ep/it:1016- 321 niter:389450  2038m 12s (- 968m 28s) completed: 67%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0470  acc: 0.6032  lr: 0.0000 
ep/it:1016- 371 niter:389500  2038m 27s (- 968m 12s) completed: 67%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0491  acc: 0.6000  lr: 0.0000 
Validation loss:1.599, accuracy:0.563
ep/it:1017-  38 niter:389550  2038m 45s (- 967m 57s) completed: 67%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0469  acc: 0.5982  lr: 0.0000 
ep/it:1017-  88 niter:389600  2038m 59s (- 967m 41s) completed: 67%) loss_emb: 0.0000  loss: 1.3620  loss_TTT: 0.0470  acc: 0.6059  lr: 0.0000 
ep/it:1017- 138 niter:389650  2039m 14s (- 967m 24s) completed: 67%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0472  acc: 0.6038  lr: 0.0000 
ep/it:1017- 188 niter:389700  2039m 28s (- 967m 8s) completed: 67%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0478  acc: 0.5997  lr: 0.0000 
ep/it:1017- 238 niter:389750  2039m 43s (- 966m 52s) completed: 67%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0487  acc: 0.5964  lr: 0.0000 
ep/it:1017- 288 niter:389800  2039m 57s (- 966m 35s) completed: 67%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0472  acc: 0.6019  lr: 0.0000 
ep/it:1017- 338 niter:389850  2040m 11s (- 966m 19s) completed: 67%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0470  acc: 0.6026  lr: 0.0000 
Validation loss:1.610, accuracy:0.557
ep/it:1018-   5 niter:389900  2040m 28s (- 966m 4s) completed: 67%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0468  acc: 0.5968  lr: 0.0000 
ep/it:1018-  55 niter:389950  2040m 42s (- 965m 47s) completed: 67%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0478  acc: 0.6007  lr: 0.0000 
ep/it:1018- 105 niter:390000  2040m 57s (- 965m 31s) completed: 67%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0459  acc: 0.6023  lr: 0.0000 
ep/it:1018- 155 niter:390050  2041m 12s (- 965m 15s) completed: 67%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0473  acc: 0.5952  lr: 0.0000 
ep/it:1018- 205 niter:390100  2041m 26s (- 964m 59s) completed: 67%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0471  acc: 0.5947  lr: 0.0000 
ep/it:1018- 255 niter:390150  2041m 40s (- 964m 42s) completed: 67%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0468  acc: 0.5990  lr: 0.0000 
ep/it:1018- 305 niter:390200  2041m 55s (- 964m 26s) completed: 67%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0463  acc: 0.6043  lr: 0.0000 
ep/it:1018- 355 niter:390250  2042m 9s (- 964m 10s) completed: 67%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0484  acc: 0.5942  lr: 0.0000 
Validation loss:1.571, accuracy:0.570
ep/it:1019-  22 niter:390300  2042m 26s (- 963m 55s) completed: 67%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0483  acc: 0.5992  lr: 0.0000 
ep/it:1019-  72 niter:390350  2042m 41s (- 963m 39s) completed: 67%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0464  acc: 0.6048  lr: 0.0000 
ep/it:1019- 122 niter:390400  2042m 55s (- 963m 22s) completed: 67%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0481  acc: 0.5987  lr: 0.0000 
ep/it:1019- 172 niter:390450  2043m 10s (- 963m 6s) completed: 67%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0470  acc: 0.6000  lr: 0.0000 
ep/it:1019- 222 niter:390500  2043m 24s (- 962m 50s) completed: 67%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0470  acc: 0.5930  lr: 0.0000 
ep/it:1019- 272 niter:390550  2043m 39s (- 962m 34s) completed: 67%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0477  acc: 0.5948  lr: 0.0000 
ep/it:1019- 322 niter:390600  2043m 53s (- 962m 17s) completed: 67%) loss_emb: 0.0000  loss: 1.3411  loss_TTT: 0.0457  acc: 0.6110  lr: 0.0000 
ep/it:1019- 372 niter:390650  2044m 7s (- 962m 1s) completed: 67%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0479  acc: 0.5997  lr: 0.0000 
Validation loss:1.598, accuracy:0.563

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.85it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.99378195311874 avg: 38.99378195311874
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.965581019409 avg: 38.97968148626387
--> 	 Eva. Repeat 0 :, FID. 0.0827, Diversity Real. 9.5052, Diversity. 9.3804, R_precision_real. [0.5234375  0.72558594 0.82519531], R_precision. [0.51855469 0.70117188 0.80664062], matching_score_real. 2.8444, matching_score_pred. 2.9947, skate_ratio. 0.0474, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0684 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0136 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0286 
ep/it:1020-  39 niter:390700  2045m 44s (- 962m 23s) completed: 68%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0485  acc: 0.5964  lr: 0.0000 
ep/it:1020-  89 niter:390750  2045m 58s (- 962m 7s) completed: 68%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0477  acc: 0.5983  lr: 0.0000 
ep/it:1020- 139 niter:390800  2046m 13s (- 961m 50s) completed: 68%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0472  acc: 0.6015  lr: 0.0000 
ep/it:1020- 189 niter:390850  2046m 27s (- 961m 34s) completed: 68%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0486  acc: 0.6012  lr: 0.0000 
ep/it:1020- 239 niter:390900  2046m 42s (- 961m 18s) completed: 68%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0485  acc: 0.6014  lr: 0.0000 
ep/it:1020- 289 niter:390950  2046m 56s (- 961m 1s) completed: 68%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0474  acc: 0.5960  lr: 0.0000 
ep/it:1020- 339 niter:391000  2047m 10s (- 960m 45s) completed: 68%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0475  acc: 0.5984  lr: 0.0000 
Validation loss:1.580, accuracy:0.565
ep/it:1021-   6 niter:391050  2047m 28s (- 960m 30s) completed: 68%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0471  acc: 0.6005  lr: 0.0000 
ep/it:1021-  56 niter:391100  2047m 42s (- 960m 14s) completed: 68%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0473  acc: 0.6012  lr: 0.0000 
ep/it:1021- 106 niter:391150  2047m 57s (- 959m 58s) completed: 68%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0467  acc: 0.5921  lr: 0.0000 
ep/it:1021- 156 niter:391200  2048m 11s (- 959m 41s) completed: 68%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0479  acc: 0.6041  lr: 0.0000 
ep/it:1021- 206 niter:391250  2048m 26s (- 959m 25s) completed: 68%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0465  acc: 0.6005  lr: 0.0000 
ep/it:1021- 256 niter:391300  2048m 40s (- 959m 9s) completed: 68%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0473  acc: 0.6004  lr: 0.0000 
ep/it:1021- 306 niter:391350  2048m 54s (- 958m 52s) completed: 68%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0473  acc: 0.6005  lr: 0.0000 
ep/it:1021- 356 niter:391400  2049m 9s (- 958m 36s) completed: 68%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0466  acc: 0.5980  lr: 0.0000 
Validation loss:1.602, accuracy:0.561
ep/it:1022-  23 niter:391450  2049m 26s (- 958m 21s) completed: 68%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0473  acc: 0.6042  lr: 0.0000 
ep/it:1022-  73 niter:391500  2049m 41s (- 958m 5s) completed: 68%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0486  acc: 0.5927  lr: 0.0000 
ep/it:1022- 123 niter:391550  2049m 55s (- 957m 49s) completed: 68%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0473  acc: 0.5922  lr: 0.0000 
ep/it:1022- 173 niter:391600  2050m 10s (- 957m 32s) completed: 68%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0451  acc: 0.6012  lr: 0.0000 
ep/it:1022- 223 niter:391650  2050m 24s (- 957m 16s) completed: 68%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0461  acc: 0.5980  lr: 0.0000 
ep/it:1022- 273 niter:391700  2050m 39s (- 957m 0s) completed: 68%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0455  acc: 0.6006  lr: 0.0000 
ep/it:1022- 323 niter:391750  2050m 53s (- 956m 43s) completed: 68%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0478  acc: 0.5984  lr: 0.0000 
ep/it:1022- 373 niter:391800  2051m 7s (- 956m 27s) completed: 68%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0473  acc: 0.5977  lr: 0.0000 
Validation loss:1.549, accuracy:0.575
ep/it:1023-  40 niter:391850  2051m 24s (- 956m 12s) completed: 68%) loss_emb: 0.0000  loss: 1.3532  loss_TTT: 0.0466  acc: 0.6078  lr: 0.0000 
ep/it:1023-  90 niter:391900  2051m 39s (- 955m 56s) completed: 68%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0457  acc: 0.6051  lr: 0.0000 
ep/it:1023- 140 niter:391950  2051m 53s (- 955m 39s) completed: 68%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0464  acc: 0.6023  lr: 0.0000 
ep/it:1023- 190 niter:392000  2052m 7s (- 955m 23s) completed: 68%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0484  acc: 0.5952  lr: 0.0000 
ep/it:1023- 240 niter:392050  2052m 23s (- 955m 7s) completed: 68%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0493  acc: 0.6038  lr: 0.0000 
ep/it:1023- 290 niter:392100  2052m 37s (- 954m 51s) completed: 68%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0479  acc: 0.6003  lr: 0.0000 
ep/it:1023- 340 niter:392150  2052m 51s (- 954m 35s) completed: 68%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0487  acc: 0.6000  lr: 0.0000 
Validation loss:1.599, accuracy:0.562
ep/it:1024-   7 niter:392200  2053m 9s (- 954m 20s) completed: 68%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0493  acc: 0.6002  lr: 0.0000 
ep/it:1024-  57 niter:392250  2053m 23s (- 954m 3s) completed: 68%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0479  acc: 0.5931  lr: 0.0000 
ep/it:1024- 107 niter:392300  2053m 38s (- 953m 47s) completed: 68%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0485  acc: 0.5996  lr: 0.0000 
ep/it:1024- 157 niter:392350  2053m 52s (- 953m 31s) completed: 68%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0471  acc: 0.5972  lr: 0.0000 
ep/it:1024- 207 niter:392400  2054m 7s (- 953m 14s) completed: 68%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0474  acc: 0.5958  lr: 0.0000 
ep/it:1024- 257 niter:392450  2054m 21s (- 952m 58s) completed: 68%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0483  acc: 0.6018  lr: 0.0000 
ep/it:1024- 307 niter:392500  2054m 35s (- 952m 42s) completed: 68%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0476  acc: 0.6002  lr: 0.0000 
ep/it:1024- 357 niter:392550  2054m 50s (- 952m 26s) completed: 68%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0467  acc: 0.6007  lr: 0.0000 
Validation loss:1.630, accuracy:0.557
ep/it:1025-  24 niter:392600  2055m 7s (- 952m 11s) completed: 68%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0467  acc: 0.5972  lr: 0.0000 
ep/it:1025-  74 niter:392650  2055m 21s (- 951m 54s) completed: 68%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0471  acc: 0.5941  lr: 0.0000 
ep/it:1025- 124 niter:392700  2055m 36s (- 951m 38s) completed: 68%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0481  acc: 0.6008  lr: 0.0000 
ep/it:1025- 174 niter:392750  2055m 50s (- 951m 22s) completed: 68%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0458  acc: 0.6053  lr: 0.0000 
ep/it:1025- 224 niter:392800  2056m 4s (- 951m 5s) completed: 68%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0484  acc: 0.5941  lr: 0.0000 
ep/it:1025- 274 niter:392850  2056m 19s (- 950m 49s) completed: 68%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0465  acc: 0.6053  lr: 0.0000 
ep/it:1025- 324 niter:392900  2056m 34s (- 950m 33s) completed: 68%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0473  acc: 0.6050  lr: 0.0000 
ep/it:1025- 374 niter:392950  2056m 48s (- 950m 17s) completed: 68%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0463  acc: 0.6043  lr: 0.0000 
Validation loss:1.609, accuracy:0.561
ep/it:1026-  41 niter:393000  2057m 6s (- 950m 2s) completed: 68%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0472  acc: 0.6015  lr: 0.0000 
ep/it:1026-  91 niter:393050  2057m 21s (- 949m 46s) completed: 68%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0480  acc: 0.5995  lr: 0.0000 
ep/it:1026- 141 niter:393100  2057m 35s (- 949m 29s) completed: 68%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0468  acc: 0.6032  lr: 0.0000 
ep/it:1026- 191 niter:393150  2057m 50s (- 949m 13s) completed: 68%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0468  acc: 0.5964  lr: 0.0000 
ep/it:1026- 241 niter:393200  2058m 4s (- 948m 57s) completed: 68%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0486  acc: 0.6059  lr: 0.0000 
ep/it:1026- 291 niter:393250  2058m 19s (- 948m 41s) completed: 68%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0450  acc: 0.5935  lr: 0.0000 
ep/it:1026- 341 niter:393300  2058m 33s (- 948m 24s) completed: 68%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0468  acc: 0.5948  lr: 0.0000 
Validation loss:1.564, accuracy:0.571
ep/it:1027-   8 niter:393350  2058m 50s (- 948m 9s) completed: 68%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0477  acc: 0.5921  lr: 0.0000 
ep/it:1027-  58 niter:393400  2059m 5s (- 947m 53s) completed: 68%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0492  acc: 0.5936  lr: 0.0000 
ep/it:1027- 108 niter:393450  2059m 19s (- 947m 37s) completed: 68%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0464  acc: 0.6016  lr: 0.0000 
ep/it:1027- 158 niter:393500  2059m 34s (- 947m 21s) completed: 68%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0477  acc: 0.5997  lr: 0.0000 
ep/it:1027- 208 niter:393550  2059m 49s (- 947m 5s) completed: 68%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0472  acc: 0.6007  lr: 0.0000 
ep/it:1027- 258 niter:393600  2060m 4s (- 946m 48s) completed: 68%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0482  acc: 0.6015  lr: 0.0000 
ep/it:1027- 308 niter:393650  2060m 18s (- 946m 32s) completed: 68%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0466  acc: 0.5944  lr: 0.0000 
ep/it:1027- 358 niter:393700  2060m 33s (- 946m 16s) completed: 68%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0462  acc: 0.6006  lr: 0.0000 
Validation loss:1.583, accuracy:0.567
ep/it:1028-  25 niter:393750  2060m 50s (- 946m 1s) completed: 68%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0466  acc: 0.5985  lr: 0.0000 
ep/it:1028-  75 niter:393800  2061m 4s (- 945m 44s) completed: 68%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0471  acc: 0.6008  lr: 0.0000 
ep/it:1028- 125 niter:393850  2061m 19s (- 945m 28s) completed: 68%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0450  acc: 0.6073  lr: 0.0000 
ep/it:1028- 175 niter:393900  2061m 33s (- 945m 12s) completed: 68%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0454  acc: 0.6017  lr: 0.0000 
ep/it:1028- 225 niter:393950  2061m 48s (- 944m 56s) completed: 68%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0448  acc: 0.6003  lr: 0.0000 
ep/it:1028- 275 niter:394000  2062m 2s (- 944m 40s) completed: 68%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0465  acc: 0.6002  lr: 0.0000 
ep/it:1028- 325 niter:394050  2062m 17s (- 944m 23s) completed: 68%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0481  acc: 0.5957  lr: 0.0000 
ep/it:1028- 375 niter:394100  2062m 31s (- 944m 7s) completed: 68%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0522  acc: 0.5986  lr: 0.0000 
Validation loss:1.566, accuracy:0.572
ep/it:1029-  42 niter:394150  2062m 49s (- 943m 52s) completed: 68%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0479  acc: 0.6022  lr: 0.0000 
ep/it:1029-  92 niter:394200  2063m 3s (- 943m 36s) completed: 68%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0470  acc: 0.6001  lr: 0.0000 
ep/it:1029- 142 niter:394250  2063m 17s (- 943m 19s) completed: 68%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0481  acc: 0.6035  lr: 0.0000 
ep/it:1029- 192 niter:394300  2063m 31s (- 943m 3s) completed: 68%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0491  acc: 0.6050  lr: 0.0000 
ep/it:1029- 242 niter:394350  2063m 45s (- 942m 46s) completed: 68%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0478  acc: 0.6025  lr: 0.0000 
ep/it:1029- 292 niter:394400  2063m 59s (- 942m 30s) completed: 68%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0474  acc: 0.5960  lr: 0.0000 
ep/it:1029- 342 niter:394450  2064m 13s (- 942m 14s) completed: 68%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0480  acc: 0.5984  lr: 0.0000 
Validation loss:1.580, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.62it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.84343536850065 avg: 38.84343536850065
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.50006372760981 avg: 38.67174954805523
--> 	 Eva. Repeat 0 :, FID. 0.0738, Diversity Real. 9.7888, Diversity. 9.4694, R_precision_real. [0.50390625 0.71386719 0.80175781], R_precision. [0.51269531 0.70214844 0.80273438], matching_score_real. 2.8874, matching_score_pred. 2.9243, skate_ratio. 0.0464, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0625 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0123 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0293 
ep/it:1030-   9 niter:394500  2065m 49s (- 942m 34s) completed: 68%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0482  acc: 0.5951  lr: 0.0000 
ep/it:1030-  59 niter:394550  2066m 3s (- 942m 18s) completed: 68%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0491  acc: 0.6020  lr: 0.0000 
ep/it:1030- 109 niter:394600  2066m 18s (- 942m 2s) completed: 68%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0475  acc: 0.6048  lr: 0.0000 
ep/it:1030- 159 niter:394650  2066m 33s (- 941m 46s) completed: 68%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0467  acc: 0.6008  lr: 0.0000 
ep/it:1030- 209 niter:394700  2066m 48s (- 941m 30s) completed: 68%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0479  acc: 0.5949  lr: 0.0000 
ep/it:1030- 259 niter:394750  2067m 2s (- 941m 13s) completed: 68%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0476  acc: 0.5979  lr: 0.0000 
ep/it:1030- 309 niter:394800  2067m 17s (- 940m 57s) completed: 68%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0474  acc: 0.5964  lr: 0.0000 
ep/it:1030- 359 niter:394850  2067m 31s (- 940m 41s) completed: 68%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0473  acc: 0.5992  lr: 0.0000 
Validation loss:1.598, accuracy:0.565
ep/it:1031-  26 niter:394900  2067m 48s (- 940m 26s) completed: 68%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0491  acc: 0.5906  lr: 0.0000 
ep/it:1031-  76 niter:394950  2068m 3s (- 940m 10s) completed: 68%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0476  acc: 0.6000  lr: 0.0000 
ep/it:1031- 126 niter:395000  2068m 17s (- 939m 53s) completed: 68%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0480  acc: 0.5982  lr: 0.0000 
ep/it:1031- 176 niter:395050  2068m 32s (- 939m 37s) completed: 68%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0479  acc: 0.5982  lr: 0.0000 
ep/it:1031- 226 niter:395100  2068m 47s (- 939m 21s) completed: 68%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0492  acc: 0.6023  lr: 0.0000 
ep/it:1031- 276 niter:395150  2069m 2s (- 939m 5s) completed: 68%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0478  acc: 0.5959  lr: 0.0000 
ep/it:1031- 326 niter:395200  2069m 16s (- 938m 49s) completed: 68%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0481  acc: 0.5941  lr: 0.0000 
ep/it:1031- 376 niter:395250  2069m 31s (- 938m 33s) completed: 68%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0473  acc: 0.5979  lr: 0.0000 
Validation loss:1.580, accuracy:0.569
ep/it:1032-  43 niter:395300  2069m 48s (- 938m 17s) completed: 68%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0454  acc: 0.6079  lr: 0.0000 
ep/it:1032-  93 niter:395350  2070m 2s (- 938m 1s) completed: 68%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0472  acc: 0.6035  lr: 0.0000 
ep/it:1032- 143 niter:395400  2070m 17s (- 937m 45s) completed: 68%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0479  acc: 0.6025  lr: 0.0000 
ep/it:1032- 193 niter:395450  2070m 31s (- 937m 29s) completed: 68%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0454  acc: 0.6065  lr: 0.0000 
ep/it:1032- 243 niter:395500  2070m 46s (- 937m 12s) completed: 68%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0479  acc: 0.5946  lr: 0.0000 
ep/it:1032- 293 niter:395550  2071m 0s (- 936m 56s) completed: 68%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0466  acc: 0.5985  lr: 0.0000 
ep/it:1032- 343 niter:395600  2071m 14s (- 936m 40s) completed: 68%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0471  acc: 0.6074  lr: 0.0000 
Validation loss:1.628, accuracy:0.557
ep/it:1033-  10 niter:395650  2071m 31s (- 936m 25s) completed: 68%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0489  acc: 0.5950  lr: 0.0000 
ep/it:1033-  60 niter:395700  2071m 46s (- 936m 8s) completed: 68%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0459  acc: 0.6005  lr: 0.0000 
ep/it:1033- 110 niter:395750  2072m 1s (- 935m 52s) completed: 68%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0471  acc: 0.6003  lr: 0.0000 
ep/it:1033- 160 niter:395800  2072m 15s (- 935m 36s) completed: 68%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0488  acc: 0.5967  lr: 0.0000 
ep/it:1033- 210 niter:395850  2072m 30s (- 935m 20s) completed: 68%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0478  acc: 0.5996  lr: 0.0000 
ep/it:1033- 260 niter:395900  2072m 44s (- 935m 3s) completed: 68%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0479  acc: 0.5982  lr: 0.0000 
ep/it:1033- 310 niter:395950  2072m 58s (- 934m 47s) completed: 68%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0516  acc: 0.5909  lr: 0.0000 
ep/it:1033- 360 niter:396000  2073m 13s (- 934m 31s) completed: 68%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0494  acc: 0.5952  lr: 0.0000 
Validation loss:1.583, accuracy:0.567
ep/it:1034-  27 niter:396050  2073m 30s (- 934m 16s) completed: 68%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0478  acc: 0.6065  lr: 0.0000 
ep/it:1034-  77 niter:396100  2073m 45s (- 934m 0s) completed: 68%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0492  acc: 0.6035  lr: 0.0000 
ep/it:1034- 127 niter:396150  2074m 0s (- 933m 43s) completed: 68%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0471  acc: 0.5998  lr: 0.0000 
ep/it:1034- 177 niter:396200  2074m 15s (- 933m 27s) completed: 68%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0477  acc: 0.6025  lr: 0.0000 
ep/it:1034- 227 niter:396250  2074m 29s (- 933m 11s) completed: 68%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0474  acc: 0.6039  lr: 0.0000 
ep/it:1034- 277 niter:396300  2074m 43s (- 932m 55s) completed: 68%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0477  acc: 0.6036  lr: 0.0000 
ep/it:1034- 327 niter:396350  2074m 58s (- 932m 39s) completed: 68%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0474  acc: 0.5960  lr: 0.0000 
ep/it:1034- 377 niter:396400  2075m 13s (- 932m 23s) completed: 68%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0481  acc: 0.5960  lr: 0.0000 
Validation loss:1.586, accuracy:0.565
ep/it:1035-  44 niter:396450  2075m 29s (- 932m 7s) completed: 69%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0485  acc: 0.5945  lr: 0.0000 
ep/it:1035-  94 niter:396500  2075m 44s (- 931m 51s) completed: 69%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0473  acc: 0.5954  lr: 0.0000 
ep/it:1035- 144 niter:396550  2075m 58s (- 931m 35s) completed: 69%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0467  acc: 0.6024  lr: 0.0000 
ep/it:1035- 194 niter:396600  2076m 13s (- 931m 18s) completed: 69%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0489  acc: 0.5980  lr: 0.0000 
ep/it:1035- 244 niter:396650  2076m 28s (- 931m 2s) completed: 69%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0473  acc: 0.5914  lr: 0.0000 
ep/it:1035- 294 niter:396700  2076m 42s (- 930m 46s) completed: 69%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0479  acc: 0.6053  lr: 0.0000 
ep/it:1035- 344 niter:396750  2076m 56s (- 930m 30s) completed: 69%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0475  acc: 0.6041  lr: 0.0000 
Validation loss:1.594, accuracy:0.564
ep/it:1036-  11 niter:396800  2077m 13s (- 930m 15s) completed: 69%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0478  acc: 0.6032  lr: 0.0000 
ep/it:1036-  61 niter:396850  2077m 29s (- 929m 59s) completed: 69%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0480  acc: 0.6053  lr: 0.0000 
ep/it:1036- 111 niter:396900  2077m 43s (- 929m 42s) completed: 69%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0488  acc: 0.6055  lr: 0.0000 
ep/it:1036- 161 niter:396950  2077m 58s (- 929m 26s) completed: 69%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0468  acc: 0.5967  lr: 0.0000 
ep/it:1036- 211 niter:397000  2078m 12s (- 929m 10s) completed: 69%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0468  acc: 0.5962  lr: 0.0000 
ep/it:1036- 261 niter:397050  2078m 27s (- 928m 54s) completed: 69%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0467  acc: 0.5929  lr: 0.0000 
ep/it:1036- 311 niter:397100  2078m 41s (- 928m 38s) completed: 69%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0470  acc: 0.5982  lr: 0.0000 
ep/it:1036- 361 niter:397150  2078m 56s (- 928m 21s) completed: 69%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0484  acc: 0.5948  lr: 0.0000 
Validation loss:1.624, accuracy:0.558
ep/it:1037-  28 niter:397200  2079m 13s (- 928m 6s) completed: 69%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0480  acc: 0.6009  lr: 0.0000 
ep/it:1037-  78 niter:397250  2079m 27s (- 927m 50s) completed: 69%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0478  acc: 0.6033  lr: 0.0000 
ep/it:1037- 128 niter:397300  2079m 42s (- 927m 34s) completed: 69%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0482  acc: 0.5968  lr: 0.0000 
ep/it:1037- 178 niter:397350  2079m 56s (- 927m 17s) completed: 69%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0495  acc: 0.5972  lr: 0.0000 
ep/it:1037- 228 niter:397400  2080m 11s (- 927m 1s) completed: 69%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0483  acc: 0.5978  lr: 0.0000 
ep/it:1037- 278 niter:397450  2080m 25s (- 926m 45s) completed: 69%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0475  acc: 0.6067  lr: 0.0000 
ep/it:1037- 328 niter:397500  2080m 39s (- 926m 29s) completed: 69%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0488  acc: 0.6026  lr: 0.0000 
ep/it:1037- 378 niter:397550  2080m 54s (- 926m 12s) completed: 69%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0503  acc: 0.5949  lr: 0.0000 
Validation loss:1.594, accuracy:0.563
ep/it:1038-  45 niter:397600  2081m 11s (- 925m 57s) completed: 69%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0488  acc: 0.5987  lr: 0.0000 
ep/it:1038-  95 niter:397650  2081m 25s (- 925m 41s) completed: 69%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0459  acc: 0.5942  lr: 0.0000 
ep/it:1038- 145 niter:397700  2081m 39s (- 925m 24s) completed: 69%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0468  acc: 0.5996  lr: 0.0000 
ep/it:1038- 195 niter:397750  2081m 54s (- 925m 8s) completed: 69%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0464  acc: 0.6018  lr: 0.0000 
ep/it:1038- 245 niter:397800  2082m 9s (- 924m 52s) completed: 69%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0465  acc: 0.6020  lr: 0.0000 
ep/it:1038- 295 niter:397850  2082m 23s (- 924m 36s) completed: 69%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0483  acc: 0.5857  lr: 0.0000 
ep/it:1038- 345 niter:397900  2082m 38s (- 924m 20s) completed: 69%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0469  acc: 0.6000  lr: 0.0000 
Validation loss:1.602, accuracy:0.561
ep/it:1039-  12 niter:397950  2082m 55s (- 924m 5s) completed: 69%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0466  acc: 0.6053  lr: 0.0000 
ep/it:1039-  62 niter:398000  2083m 10s (- 923m 49s) completed: 69%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0472  acc: 0.5940  lr: 0.0000 
ep/it:1039- 112 niter:398050  2083m 25s (- 923m 33s) completed: 69%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0474  acc: 0.5989  lr: 0.0000 
ep/it:1039- 162 niter:398100  2083m 39s (- 923m 16s) completed: 69%) loss_emb: 0.0000  loss: 1.3526  loss_TTT: 0.0478  acc: 0.6071  lr: 0.0000 
ep/it:1039- 212 niter:398150  2083m 54s (- 923m 0s) completed: 69%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0480  acc: 0.6013  lr: 0.0000 
ep/it:1039- 262 niter:398200  2084m 8s (- 922m 44s) completed: 69%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0458  acc: 0.6025  lr: 0.0000 
ep/it:1039- 312 niter:398250  2084m 22s (- 922m 27s) completed: 69%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0485  acc: 0.5947  lr: 0.0000 
ep/it:1039- 362 niter:398300  2084m 37s (- 922m 11s) completed: 69%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0459  acc: 0.5943  lr: 0.0000 
Validation loss:1.568, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.84it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.71767907496542 avg: 38.71767907496542
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.685373056679964 avg: 38.70152606582269
--> 	 Eva. Repeat 0 :, FID. 0.0771, Diversity Real. 9.2138, Diversity. 9.3713, R_precision_real. [0.5234375  0.71289062 0.79589844], R_precision. [0.51269531 0.71386719 0.80566406], matching_score_real. 2.9183, matching_score_pred. 2.8872, skate_ratio. 0.0512, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0090 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0265 
ep/it:1040-  29 niter:398350  2086m 13s (- 922m 31s) completed: 69%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0468  acc: 0.6005  lr: 0.0000 
ep/it:1040-  79 niter:398400  2086m 28s (- 922m 15s) completed: 69%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0480  acc: 0.5933  lr: 0.0000 
ep/it:1040- 129 niter:398450  2086m 42s (- 921m 59s) completed: 69%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0467  acc: 0.6032  lr: 0.0000 
ep/it:1040- 179 niter:398500  2086m 57s (- 921m 42s) completed: 69%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0481  acc: 0.5982  lr: 0.0000 
ep/it:1040- 229 niter:398550  2087m 11s (- 921m 26s) completed: 69%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0475  acc: 0.6050  lr: 0.0000 
ep/it:1040- 279 niter:398600  2087m 26s (- 921m 10s) completed: 69%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0485  acc: 0.6023  lr: 0.0000 
ep/it:1040- 329 niter:398650  2087m 40s (- 920m 54s) completed: 69%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0457  acc: 0.5975  lr: 0.0000 
ep/it:1040- 379 niter:398700  2087m 55s (- 920m 37s) completed: 69%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0480  acc: 0.6045  lr: 0.0000 
Validation loss:1.612, accuracy:0.559
ep/it:1041-  46 niter:398750  2088m 11s (- 920m 22s) completed: 69%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0474  acc: 0.5946  lr: 0.0000 
ep/it:1041-  96 niter:398800  2088m 25s (- 920m 6s) completed: 69%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0460  acc: 0.6006  lr: 0.0000 
ep/it:1041- 146 niter:398850  2088m 39s (- 919m 49s) completed: 69%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0477  acc: 0.5950  lr: 0.0000 
ep/it:1041- 196 niter:398900  2088m 53s (- 919m 33s) completed: 69%) loss_emb: 0.0000  loss: 1.3546  loss_TTT: 0.0468  acc: 0.6070  lr: 0.0000 
ep/it:1041- 246 niter:398950  2089m 7s (- 919m 16s) completed: 69%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0480  acc: 0.6000  lr: 0.0000 
ep/it:1041- 296 niter:399000  2089m 21s (- 919m 0s) completed: 69%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0473  acc: 0.5994  lr: 0.0000 
ep/it:1041- 346 niter:399050  2089m 36s (- 918m 43s) completed: 69%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0492  acc: 0.5986  lr: 0.0000 
Validation loss:1.579, accuracy:0.567
ep/it:1042-  13 niter:399100  2089m 52s (- 918m 28s) completed: 69%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0455  acc: 0.5989  lr: 0.0000 
ep/it:1042-  63 niter:399150  2090m 7s (- 918m 12s) completed: 69%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0478  acc: 0.6009  lr: 0.0000 
ep/it:1042- 113 niter:399200  2090m 21s (- 917m 55s) completed: 69%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0462  acc: 0.6015  lr: 0.0000 
ep/it:1042- 163 niter:399250  2090m 35s (- 917m 39s) completed: 69%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0464  acc: 0.5983  lr: 0.0000 
ep/it:1042- 213 niter:399300  2090m 49s (- 917m 23s) completed: 69%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0460  acc: 0.5971  lr: 0.0000 
ep/it:1042- 263 niter:399350  2091m 3s (- 917m 6s) completed: 69%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0485  acc: 0.6043  lr: 0.0000 
ep/it:1042- 313 niter:399400  2091m 17s (- 916m 50s) completed: 69%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0480  acc: 0.5959  lr: 0.0000 
ep/it:1042- 363 niter:399450  2091m 31s (- 916m 33s) completed: 69%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0472  acc: 0.5988  lr: 0.0000 
Validation loss:1.623, accuracy:0.557
ep/it:1043-  30 niter:399500  2091m 48s (- 916m 18s) completed: 69%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0483  acc: 0.5941  lr: 0.0000 
ep/it:1043-  80 niter:399550  2092m 3s (- 916m 2s) completed: 69%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0464  acc: 0.6005  lr: 0.0000 
ep/it:1043- 130 niter:399600  2092m 17s (- 915m 46s) completed: 69%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0481  acc: 0.6062  lr: 0.0000 
ep/it:1043- 180 niter:399650  2092m 31s (- 915m 29s) completed: 69%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0486  acc: 0.6039  lr: 0.0000 
ep/it:1043- 230 niter:399700  2092m 45s (- 915m 13s) completed: 69%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0475  acc: 0.5994  lr: 0.0000 
ep/it:1043- 280 niter:399750  2092m 59s (- 914m 56s) completed: 69%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0469  acc: 0.6041  lr: 0.0000 
ep/it:1043- 330 niter:399800  2093m 13s (- 914m 40s) completed: 69%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0478  acc: 0.5991  lr: 0.0000 
ep/it:1043- 380 niter:399850  2093m 27s (- 914m 24s) completed: 69%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0468  acc: 0.6020  lr: 0.0000 
Validation loss:1.599, accuracy:0.563
ep/it:1044-  47 niter:399900  2093m 44s (- 914m 8s) completed: 69%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0473  acc: 0.5961  lr: 0.0000 
ep/it:1044-  97 niter:399950  2093m 58s (- 913m 52s) completed: 69%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0476  acc: 0.5977  lr: 0.0000 
ep/it:1044- 147 niter:400000  2094m 13s (- 913m 36s) completed: 69%) loss_emb: 0.0000  loss: 1.3573  loss_TTT: 0.0476  acc: 0.6063  lr: 0.0000 
ep/it:1044- 197 niter:400050  2094m 27s (- 913m 20s) completed: 69%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0450  acc: 0.6037  lr: 0.0000 
ep/it:1044- 247 niter:400100  2094m 41s (- 913m 3s) completed: 69%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0479  acc: 0.5965  lr: 0.0000 
ep/it:1044- 297 niter:400150  2094m 55s (- 912m 47s) completed: 69%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0461  acc: 0.5991  lr: 0.0000 
ep/it:1044- 347 niter:400200  2095m 9s (- 912m 30s) completed: 69%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0473  acc: 0.6052  lr: 0.0000 
Validation loss:1.624, accuracy:0.555
ep/it:1045-  14 niter:400250  2095m 26s (- 912m 15s) completed: 69%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0491  acc: 0.6064  lr: 0.0000 
ep/it:1045-  64 niter:400300  2095m 41s (- 911m 59s) completed: 69%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0492  acc: 0.5897  lr: 0.0000 
ep/it:1045- 114 niter:400350  2095m 55s (- 911m 43s) completed: 69%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0453  acc: 0.6047  lr: 0.0000 
ep/it:1045- 164 niter:400400  2096m 10s (- 911m 26s) completed: 69%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0468  acc: 0.6057  lr: 0.0000 
ep/it:1045- 214 niter:400450  2096m 24s (- 911m 10s) completed: 69%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0475  acc: 0.5937  lr: 0.0000 
ep/it:1045- 264 niter:400500  2096m 39s (- 910m 54s) completed: 69%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0464  acc: 0.6043  lr: 0.0000 
ep/it:1045- 314 niter:400550  2096m 54s (- 910m 38s) completed: 69%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0475  acc: 0.6037  lr: 0.0000 
ep/it:1045- 364 niter:400600  2097m 8s (- 910m 21s) completed: 69%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0481  acc: 0.5984  lr: 0.0000 
Validation loss:1.566, accuracy:0.572
ep/it:1046-  31 niter:400650  2097m 25s (- 910m 6s) completed: 69%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0463  acc: 0.5914  lr: 0.0000 
ep/it:1046-  81 niter:400700  2097m 40s (- 909m 50s) completed: 69%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0467  acc: 0.5996  lr: 0.0000 
ep/it:1046- 131 niter:400750  2097m 54s (- 909m 34s) completed: 69%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0466  acc: 0.5995  lr: 0.0000 
ep/it:1046- 181 niter:400800  2098m 8s (- 909m 18s) completed: 69%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0497  acc: 0.5984  lr: 0.0000 
ep/it:1046- 231 niter:400850  2098m 22s (- 909m 1s) completed: 69%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0489  acc: 0.5959  lr: 0.0000 
ep/it:1046- 281 niter:400900  2098m 37s (- 908m 45s) completed: 69%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0459  acc: 0.6045  lr: 0.0000 
ep/it:1046- 331 niter:400950  2098m 52s (- 908m 29s) completed: 69%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0489  acc: 0.5972  lr: 0.0000 
ep/it:1046- 381 niter:401000  2099m 7s (- 908m 13s) completed: 69%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0459  acc: 0.6041  lr: 0.0000 
Validation loss:1.599, accuracy:0.565
ep/it:1047-  48 niter:401050  2099m 23s (- 907m 58s) completed: 69%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0472  acc: 0.6037  lr: 0.0000 
ep/it:1047-  98 niter:401100  2099m 37s (- 907m 41s) completed: 69%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0458  acc: 0.5935  lr: 0.0000 
ep/it:1047- 148 niter:401150  2099m 51s (- 907m 25s) completed: 69%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0472  acc: 0.5923  lr: 0.0000 
ep/it:1047- 198 niter:401200  2100m 5s (- 907m 8s) completed: 69%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0492  acc: 0.6008  lr: 0.0000 
ep/it:1047- 248 niter:401250  2100m 19s (- 906m 52s) completed: 69%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0486  acc: 0.5995  lr: 0.0000 
ep/it:1047- 298 niter:401300  2100m 34s (- 906m 36s) completed: 69%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0465  acc: 0.5977  lr: 0.0000 
ep/it:1047- 348 niter:401350  2100m 48s (- 906m 19s) completed: 69%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0483  acc: 0.6061  lr: 0.0000 
Validation loss:1.586, accuracy:0.566
ep/it:1048-  15 niter:401400  2101m 4s (- 906m 4s) completed: 69%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0468  acc: 0.5939  lr: 0.0000 
ep/it:1048-  65 niter:401450  2101m 19s (- 905m 47s) completed: 69%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0479  acc: 0.6016  lr: 0.0000 
ep/it:1048- 115 niter:401500  2101m 33s (- 905m 31s) completed: 69%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0469  acc: 0.5901  lr: 0.0000 
ep/it:1048- 165 niter:401550  2101m 48s (- 905m 15s) completed: 69%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0465  acc: 0.6014  lr: 0.0000 
ep/it:1048- 215 niter:401600  2102m 3s (- 904m 59s) completed: 69%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0479  acc: 0.6012  lr: 0.0000 
ep/it:1048- 265 niter:401650  2102m 17s (- 904m 43s) completed: 69%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0476  acc: 0.6013  lr: 0.0000 
ep/it:1048- 315 niter:401700  2102m 32s (- 904m 27s) completed: 69%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0468  acc: 0.5992  lr: 0.0000 
ep/it:1048- 365 niter:401750  2102m 46s (- 904m 10s) completed: 69%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0458  acc: 0.6028  lr: 0.0000 
Validation loss:1.589, accuracy:0.565
ep/it:1049-  32 niter:401800  2103m 3s (- 903m 55s) completed: 69%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0474  acc: 0.5958  lr: 0.0000 
ep/it:1049-  82 niter:401850  2103m 17s (- 903m 39s) completed: 69%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0455  acc: 0.6012  lr: 0.0000 
ep/it:1049- 132 niter:401900  2103m 32s (- 903m 23s) completed: 69%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0479  acc: 0.6012  lr: 0.0000 
ep/it:1049- 182 niter:401950  2103m 46s (- 903m 6s) completed: 69%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0475  acc: 0.6016  lr: 0.0000 
ep/it:1049- 232 niter:402000  2104m 0s (- 902m 50s) completed: 69%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0480  acc: 0.5968  lr: 0.0000 
ep/it:1049- 282 niter:402050  2104m 14s (- 902m 33s) completed: 69%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0462  acc: 0.5966  lr: 0.0000 
ep/it:1049- 332 niter:402100  2104m 28s (- 902m 17s) completed: 69%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0449  acc: 0.6001  lr: 0.0000 
ep/it:1049- 382 niter:402150  2104m 42s (- 902m 1s) completed: 70%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0475  acc: 0.6036  lr: 0.0000 
Validation loss:1.577, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.87it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.983120075426996 avg: 38.983120075426996
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.86534740682691 avg: 38.924233741126955
--> 	 Eva. Repeat 0 :, FID. 0.0891, Diversity Real. 9.5470, Diversity. 9.3289, R_precision_real. [0.51074219 0.69335938 0.79003906], R_precision. [0.51171875 0.703125   0.80664062], matching_score_real. 2.9292, matching_score_pred. 2.9412, skate_ratio. 0.0495, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0117 (kps_fail_50cm (Loc. err)): 0.0021 (kps_mean_err(m) (Avg. err)): 0.0281 
ep/it:1050-  49 niter:402200  2106m 19s (- 902m 20s) completed: 70%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0474  acc: 0.5992  lr: 0.0000 
ep/it:1050-  99 niter:402250  2106m 33s (- 902m 3s) completed: 70%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0467  acc: 0.5946  lr: 0.0000 
ep/it:1050- 149 niter:402300  2106m 48s (- 901m 47s) completed: 70%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0460  acc: 0.5988  lr: 0.0000 
ep/it:1050- 199 niter:402350  2107m 2s (- 901m 31s) completed: 70%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0484  acc: 0.6036  lr: 0.0000 
ep/it:1050- 249 niter:402400  2107m 17s (- 901m 15s) completed: 70%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0463  acc: 0.5974  lr: 0.0000 
ep/it:1050- 299 niter:402450  2107m 31s (- 900m 58s) completed: 70%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0474  acc: 0.5949  lr: 0.0000 
ep/it:1050- 349 niter:402500  2107m 46s (- 900m 42s) completed: 70%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0491  acc: 0.5955  lr: 0.0000 
Validation loss:1.591, accuracy:0.564
ep/it:1051-  16 niter:402550  2108m 3s (- 900m 27s) completed: 70%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0462  acc: 0.5941  lr: 0.0000 
ep/it:1051-  66 niter:402600  2108m 17s (- 900m 11s) completed: 70%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0472  acc: 0.6023  lr: 0.0000 
ep/it:1051- 116 niter:402650  2108m 31s (- 899m 54s) completed: 70%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0464  acc: 0.5987  lr: 0.0000 
ep/it:1051- 166 niter:402700  2108m 45s (- 899m 38s) completed: 70%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0472  acc: 0.6013  lr: 0.0000 
ep/it:1051- 216 niter:402750  2108m 59s (- 899m 21s) completed: 70%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0454  acc: 0.5994  lr: 0.0000 
ep/it:1051- 266 niter:402800  2109m 13s (- 899m 5s) completed: 70%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0479  acc: 0.5984  lr: 0.0000 
ep/it:1051- 316 niter:402850  2109m 27s (- 898m 48s) completed: 70%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0470  acc: 0.6001  lr: 0.0000 
ep/it:1051- 366 niter:402900  2109m 40s (- 898m 32s) completed: 70%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0472  acc: 0.6058  lr: 0.0000 
Validation loss:1.568, accuracy:0.570
ep/it:1052-  33 niter:402950  2109m 57s (- 898m 17s) completed: 70%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0461  acc: 0.6013  lr: 0.0000 
ep/it:1052-  83 niter:403000  2110m 12s (- 898m 0s) completed: 70%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0453  acc: 0.5960  lr: 0.0000 
ep/it:1052- 133 niter:403050  2110m 27s (- 897m 44s) completed: 70%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0471  acc: 0.6019  lr: 0.0000 
ep/it:1052- 183 niter:403100  2110m 41s (- 897m 28s) completed: 70%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0460  acc: 0.5951  lr: 0.0000 
ep/it:1052- 233 niter:403150  2110m 55s (- 897m 12s) completed: 70%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0469  acc: 0.5971  lr: 0.0000 
ep/it:1052- 283 niter:403200  2111m 10s (- 896m 55s) completed: 70%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0480  acc: 0.5922  lr: 0.0000 
ep/it:1052- 333 niter:403250  2111m 24s (- 896m 39s) completed: 70%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0486  acc: 0.6031  lr: 0.0000 
Validation loss:1.611, accuracy:0.557
ep/it:1053-   0 niter:403300  2111m 41s (- 896m 24s) completed: 70%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0489  acc: 0.6034  lr: 0.0000 
ep/it:1053-  50 niter:403350  2111m 55s (- 896m 8s) completed: 70%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0475  acc: 0.5982  lr: 0.0000 
ep/it:1053- 100 niter:403400  2112m 9s (- 895m 51s) completed: 70%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0478  acc: 0.5968  lr: 0.0000 
ep/it:1053- 150 niter:403450  2112m 23s (- 895m 35s) completed: 70%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0474  acc: 0.5982  lr: 0.0000 
ep/it:1053- 200 niter:403500  2112m 37s (- 895m 18s) completed: 70%) loss_emb: 0.0000  loss: 1.3499  loss_TTT: 0.0489  acc: 0.6082  lr: 0.0000 
ep/it:1053- 250 niter:403550  2112m 51s (- 895m 2s) completed: 70%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0475  acc: 0.5920  lr: 0.0000 
ep/it:1053- 300 niter:403600  2113m 5s (- 894m 45s) completed: 70%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0481  acc: 0.5884  lr: 0.0000 
ep/it:1053- 350 niter:403650  2113m 19s (- 894m 29s) completed: 70%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0474  acc: 0.5956  lr: 0.0000 
Validation loss:1.551, accuracy:0.575
ep/it:1054-  17 niter:403700  2113m 35s (- 894m 14s) completed: 70%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0483  acc: 0.5976  lr: 0.0000 
ep/it:1054-  67 niter:403750  2113m 50s (- 893m 57s) completed: 70%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0474  acc: 0.5901  lr: 0.0000 
ep/it:1054- 117 niter:403800  2114m 4s (- 893m 41s) completed: 70%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0467  acc: 0.6009  lr: 0.0000 
ep/it:1054- 167 niter:403850  2114m 19s (- 893m 25s) completed: 70%) loss_emb: 0.0000  loss: 1.4266  loss_TTT: 0.0488  acc: 0.5889  lr: 0.0000 
ep/it:1054- 217 niter:403900  2114m 33s (- 893m 8s) completed: 70%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0478  acc: 0.6076  lr: 0.0000 
ep/it:1054- 267 niter:403950  2114m 47s (- 892m 52s) completed: 70%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0476  acc: 0.5968  lr: 0.0000 
ep/it:1054- 317 niter:404000  2115m 1s (- 892m 36s) completed: 70%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0484  acc: 0.6038  lr: 0.0000 
ep/it:1054- 367 niter:404050  2115m 15s (- 892m 19s) completed: 70%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0484  acc: 0.5976  lr: 0.0000 
Validation loss:1.568, accuracy:0.570
ep/it:1055-  34 niter:404100  2115m 32s (- 892m 4s) completed: 70%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0497  acc: 0.6017  lr: 0.0000 
ep/it:1055-  84 niter:404150  2115m 46s (- 891m 48s) completed: 70%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0457  acc: 0.5971  lr: 0.0000 
ep/it:1055- 134 niter:404200  2115m 59s (- 891m 31s) completed: 70%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0483  acc: 0.6054  lr: 0.0000 
ep/it:1055- 184 niter:404250  2116m 13s (- 891m 15s) completed: 70%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0468  acc: 0.6012  lr: 0.0000 
ep/it:1055- 234 niter:404300  2116m 28s (- 890m 59s) completed: 70%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0480  acc: 0.5914  lr: 0.0000 
ep/it:1055- 284 niter:404350  2116m 42s (- 890m 42s) completed: 70%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0456  acc: 0.5955  lr: 0.0000 
ep/it:1055- 334 niter:404400  2116m 57s (- 890m 26s) completed: 70%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0486  acc: 0.6048  lr: 0.0000 
Validation loss:1.566, accuracy:0.572
ep/it:1056-   1 niter:404450  2117m 13s (- 890m 10s) completed: 70%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0464  acc: 0.5978  lr: 0.0000 
ep/it:1056-  51 niter:404500  2117m 27s (- 889m 54s) completed: 70%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0466  acc: 0.5986  lr: 0.0000 
ep/it:1056- 101 niter:404550  2117m 42s (- 889m 38s) completed: 70%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0486  acc: 0.6052  lr: 0.0000 
ep/it:1056- 151 niter:404600  2117m 57s (- 889m 22s) completed: 70%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0468  acc: 0.6043  lr: 0.0000 
ep/it:1056- 201 niter:404650  2118m 11s (- 889m 6s) completed: 70%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0470  acc: 0.6019  lr: 0.0000 
ep/it:1056- 251 niter:404700  2118m 26s (- 888m 49s) completed: 70%) loss_emb: 0.0000  loss: 1.3618  loss_TTT: 0.0486  acc: 0.6049  lr: 0.0000 
ep/it:1056- 301 niter:404750  2118m 40s (- 888m 33s) completed: 70%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0475  acc: 0.5989  lr: 0.0000 
ep/it:1056- 351 niter:404800  2118m 54s (- 888m 17s) completed: 70%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0463  acc: 0.5985  lr: 0.0000 
Validation loss:1.603, accuracy:0.563
ep/it:1057-  18 niter:404850  2119m 11s (- 888m 2s) completed: 70%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0484  acc: 0.6034  lr: 0.0000 
ep/it:1057-  68 niter:404900  2119m 25s (- 887m 45s) completed: 70%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0466  acc: 0.5983  lr: 0.0000 
ep/it:1057- 118 niter:404950  2119m 39s (- 887m 29s) completed: 70%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0480  acc: 0.5982  lr: 0.0000 
ep/it:1057- 168 niter:405000  2119m 53s (- 887m 13s) completed: 70%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0469  acc: 0.6019  lr: 0.0000 
ep/it:1057- 218 niter:405050  2120m 8s (- 886m 56s) completed: 70%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0473  acc: 0.5950  lr: 0.0000 
ep/it:1057- 268 niter:405100  2120m 23s (- 886m 40s) completed: 70%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0489  acc: 0.5930  lr: 0.0000 
ep/it:1057- 318 niter:405150  2120m 37s (- 886m 24s) completed: 70%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0491  acc: 0.5959  lr: 0.0000 
ep/it:1057- 368 niter:405200  2120m 52s (- 886m 8s) completed: 70%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0487  acc: 0.5947  lr: 0.0000 
Validation loss:1.593, accuracy:0.567
ep/it:1058-  35 niter:405250  2121m 8s (- 885m 53s) completed: 70%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0474  acc: 0.5936  lr: 0.0000 
ep/it:1058-  85 niter:405300  2121m 22s (- 885m 36s) completed: 70%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0490  acc: 0.5994  lr: 0.0000 
ep/it:1058- 135 niter:405350  2121m 36s (- 885m 20s) completed: 70%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0483  acc: 0.6061  lr: 0.0000 
ep/it:1058- 185 niter:405400  2121m 50s (- 885m 3s) completed: 70%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0490  acc: 0.6002  lr: 0.0000 
ep/it:1058- 235 niter:405450  2122m 4s (- 884m 47s) completed: 70%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0482  acc: 0.6038  lr: 0.0000 
ep/it:1058- 285 niter:405500  2122m 19s (- 884m 31s) completed: 70%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0456  acc: 0.6064  lr: 0.0000 
ep/it:1058- 335 niter:405550  2122m 33s (- 884m 14s) completed: 70%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0496  acc: 0.6005  lr: 0.0000 
Validation loss:1.600, accuracy:0.562
ep/it:1059-   2 niter:405600  2122m 50s (- 883m 59s) completed: 70%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0486  acc: 0.5957  lr: 0.0000 
ep/it:1059-  52 niter:405650  2123m 4s (- 883m 43s) completed: 70%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0489  acc: 0.5993  lr: 0.0000 
ep/it:1059- 102 niter:405700  2123m 19s (- 883m 27s) completed: 70%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0497  acc: 0.5932  lr: 0.0000 
ep/it:1059- 152 niter:405750  2123m 34s (- 883m 11s) completed: 70%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0498  acc: 0.5935  lr: 0.0000 
ep/it:1059- 202 niter:405800  2123m 48s (- 882m 54s) completed: 70%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0473  acc: 0.5945  lr: 0.0000 
ep/it:1059- 252 niter:405850  2124m 3s (- 882m 38s) completed: 70%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0482  acc: 0.6013  lr: 0.0000 
ep/it:1059- 302 niter:405900  2124m 17s (- 882m 22s) completed: 70%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0489  acc: 0.5997  lr: 0.0000 
ep/it:1059- 352 niter:405950  2124m 31s (- 882m 5s) completed: 70%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0497  acc: 0.5926  lr: 0.0000 
Validation loss:1.575, accuracy:0.568

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.11it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.46s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.23044930770993 avg: 38.23044930770993
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.954027782194316 avg: 38.592238544952124
--> 	 Eva. Repeat 0 :, FID. 0.0809, Diversity Real. 9.8619, Diversity. 9.4311, R_precision_real. [0.53027344 0.71484375 0.82617188], R_precision. [0.51464844 0.70410156 0.80078125], matching_score_real. 2.8720, matching_score_pred. 2.9404, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0615 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0125 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0282 
ep/it:1060-  19 niter:406000  2126m 6s (- 882m 23s) completed: 70%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0459  acc: 0.6062  lr: 0.0000 
ep/it:1060-  69 niter:406050  2126m 21s (- 882m 7s) completed: 70%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0490  acc: 0.5974  lr: 0.0000 
ep/it:1060- 119 niter:406100  2126m 36s (- 881m 51s) completed: 70%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0475  acc: 0.5978  lr: 0.0000 
ep/it:1060- 169 niter:406150  2126m 50s (- 881m 34s) completed: 70%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0522  acc: 0.5980  lr: 0.0000 
ep/it:1060- 219 niter:406200  2127m 5s (- 881m 18s) completed: 70%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0504  acc: 0.5976  lr: 0.0000 
ep/it:1060- 269 niter:406250  2127m 19s (- 881m 2s) completed: 70%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0499  acc: 0.5923  lr: 0.0000 
ep/it:1060- 319 niter:406300  2127m 34s (- 880m 46s) completed: 70%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0492  acc: 0.5930  lr: 0.0000 
ep/it:1060- 369 niter:406350  2127m 48s (- 880m 29s) completed: 70%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0489  acc: 0.5933  lr: 0.0000 
Validation loss:1.562, accuracy:0.573
ep/it:1061-  36 niter:406400  2128m 4s (- 880m 14s) completed: 70%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0480  acc: 0.6009  lr: 0.0000 
ep/it:1061-  86 niter:406450  2128m 19s (- 879m 58s) completed: 70%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0477  acc: 0.5917  lr: 0.0000 
ep/it:1061- 136 niter:406500  2128m 33s (- 879m 42s) completed: 70%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0499  acc: 0.5953  lr: 0.0000 
ep/it:1061- 186 niter:406550  2128m 48s (- 879m 25s) completed: 70%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0499  acc: 0.6005  lr: 0.0000 
ep/it:1061- 236 niter:406600  2129m 3s (- 879m 9s) completed: 70%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0500  acc: 0.5970  lr: 0.0000 
ep/it:1061- 286 niter:406650  2129m 17s (- 878m 53s) completed: 70%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0506  acc: 0.5878  lr: 0.0000 
ep/it:1061- 336 niter:406700  2129m 32s (- 878m 37s) completed: 70%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0497  acc: 0.5998  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:1062-   3 niter:406750  2129m 49s (- 878m 22s) completed: 70%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0504  acc: 0.5973  lr: 0.0000 
ep/it:1062-  53 niter:406800  2130m 3s (- 878m 6s) completed: 70%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0477  acc: 0.5977  lr: 0.0000 
ep/it:1062- 103 niter:406850  2130m 17s (- 877m 49s) completed: 70%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0493  acc: 0.5997  lr: 0.0000 
ep/it:1062- 153 niter:406900  2130m 31s (- 877m 33s) completed: 70%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0485  acc: 0.6009  lr: 0.0000 
ep/it:1062- 203 niter:406950  2130m 45s (- 877m 16s) completed: 70%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0487  acc: 0.5958  lr: 0.0000 
ep/it:1062- 253 niter:407000  2130m 59s (- 877m 0s) completed: 70%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0492  acc: 0.5994  lr: 0.0000 
ep/it:1062- 303 niter:407050  2131m 14s (- 876m 44s) completed: 70%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0463  acc: 0.6033  lr: 0.0000 
ep/it:1062- 353 niter:407100  2131m 28s (- 876m 27s) completed: 70%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0470  acc: 0.6004  lr: 0.0000 
Validation loss:1.605, accuracy:0.560
ep/it:1063-  20 niter:407150  2131m 45s (- 876m 12s) completed: 70%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0473  acc: 0.6058  lr: 0.0000 
ep/it:1063-  70 niter:407200  2131m 59s (- 875m 56s) completed: 70%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0471  acc: 0.5971  lr: 0.0000 
ep/it:1063- 120 niter:407250  2132m 14s (- 875m 40s) completed: 70%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0465  acc: 0.5999  lr: 0.0000 
ep/it:1063- 170 niter:407300  2132m 28s (- 875m 24s) completed: 70%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0485  acc: 0.5983  lr: 0.0000 
ep/it:1063- 220 niter:407350  2132m 43s (- 875m 7s) completed: 70%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0488  acc: 0.5967  lr: 0.0000 
ep/it:1063- 270 niter:407400  2132m 58s (- 874m 51s) completed: 70%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0486  acc: 0.5967  lr: 0.0000 
ep/it:1063- 320 niter:407450  2133m 12s (- 874m 35s) completed: 70%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0482  acc: 0.6004  lr: 0.0000 
ep/it:1063- 370 niter:407500  2133m 26s (- 874m 19s) completed: 70%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0471  acc: 0.6061  lr: 0.0000 
Validation loss:1.576, accuracy:0.566
ep/it:1064-  37 niter:407550  2133m 43s (- 874m 4s) completed: 70%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0456  acc: 0.5994  lr: 0.0000 
ep/it:1064-  87 niter:407600  2133m 58s (- 873m 48s) completed: 70%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0475  acc: 0.6023  lr: 0.0000 
ep/it:1064- 137 niter:407650  2134m 13s (- 873m 31s) completed: 70%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0493  acc: 0.5949  lr: 0.0000 
ep/it:1064- 187 niter:407700  2134m 27s (- 873m 15s) completed: 70%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0487  acc: 0.5896  lr: 0.0000 
ep/it:1064- 237 niter:407750  2134m 42s (- 872m 59s) completed: 70%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0483  acc: 0.5989  lr: 0.0000 
ep/it:1064- 287 niter:407800  2134m 56s (- 872m 43s) completed: 70%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0463  acc: 0.6001  lr: 0.0000 
ep/it:1064- 337 niter:407850  2135m 10s (- 872m 26s) completed: 70%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0485  acc: 0.5957  lr: 0.0000 
Validation loss:1.582, accuracy:0.567
ep/it:1065-   4 niter:407900  2135m 28s (- 872m 11s) completed: 71%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0482  acc: 0.5954  lr: 0.0000 
ep/it:1065-  54 niter:407950  2135m 42s (- 871m 55s) completed: 71%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0491  acc: 0.5948  lr: 0.0000 
ep/it:1065- 104 niter:408000  2135m 56s (- 871m 38s) completed: 71%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0469  acc: 0.6005  lr: 0.0000 
ep/it:1065- 154 niter:408050  2136m 11s (- 871m 22s) completed: 71%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0490  acc: 0.5992  lr: 0.0000 
ep/it:1065- 204 niter:408100  2136m 25s (- 871m 6s) completed: 71%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0483  acc: 0.6067  lr: 0.0000 
ep/it:1065- 254 niter:408150  2136m 40s (- 870m 50s) completed: 71%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0463  acc: 0.6033  lr: 0.0000 
ep/it:1065- 304 niter:408200  2136m 55s (- 870m 34s) completed: 71%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0496  acc: 0.5946  lr: 0.0000 
ep/it:1065- 354 niter:408250  2137m 9s (- 870m 18s) completed: 71%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0464  acc: 0.5994  lr: 0.0000 
Validation loss:1.616, accuracy:0.560
ep/it:1066-  21 niter:408300  2137m 26s (- 870m 3s) completed: 71%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0486  acc: 0.5962  lr: 0.0000 
ep/it:1066-  71 niter:408350  2137m 40s (- 869m 46s) completed: 71%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0492  acc: 0.6006  lr: 0.0000 
ep/it:1066- 121 niter:408400  2137m 55s (- 869m 30s) completed: 71%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0489  acc: 0.6008  lr: 0.0000 
ep/it:1066- 171 niter:408450  2138m 9s (- 869m 14s) completed: 71%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0486  acc: 0.6031  lr: 0.0000 
ep/it:1066- 221 niter:408500  2138m 23s (- 868m 58s) completed: 71%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0466  acc: 0.5936  lr: 0.0000 
ep/it:1066- 271 niter:408550  2138m 38s (- 868m 41s) completed: 71%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0474  acc: 0.5990  lr: 0.0000 
ep/it:1066- 321 niter:408600  2138m 52s (- 868m 25s) completed: 71%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0476  acc: 0.5992  lr: 0.0000 
ep/it:1066- 371 niter:408650  2139m 6s (- 868m 9s) completed: 71%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0467  acc: 0.5925  lr: 0.0000 
Validation loss:1.572, accuracy:0.570
ep/it:1067-  38 niter:408700  2139m 23s (- 867m 54s) completed: 71%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0464  acc: 0.6051  lr: 0.0000 
ep/it:1067-  88 niter:408750  2139m 37s (- 867m 37s) completed: 71%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0465  acc: 0.6049  lr: 0.0000 
ep/it:1067- 138 niter:408800  2139m 52s (- 867m 21s) completed: 71%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0475  acc: 0.5920  lr: 0.0000 
ep/it:1067- 188 niter:408850  2140m 6s (- 867m 5s) completed: 71%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0477  acc: 0.5953  lr: 0.0000 
ep/it:1067- 238 niter:408900  2140m 20s (- 866m 48s) completed: 71%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0499  acc: 0.5976  lr: 0.0000 
ep/it:1067- 288 niter:408950  2140m 34s (- 866m 32s) completed: 71%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0505  acc: 0.5966  lr: 0.0000 
ep/it:1067- 338 niter:409000  2140m 48s (- 866m 16s) completed: 71%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0465  acc: 0.5925  lr: 0.0000 
Validation loss:1.611, accuracy:0.561
ep/it:1068-   5 niter:409050  2141m 5s (- 866m 0s) completed: 71%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0476  acc: 0.6035  lr: 0.0000 
ep/it:1068-  55 niter:409100  2141m 19s (- 865m 44s) completed: 71%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0497  acc: 0.6009  lr: 0.0000 
ep/it:1068- 105 niter:409150  2141m 33s (- 865m 28s) completed: 71%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0463  acc: 0.6064  lr: 0.0000 
ep/it:1068- 155 niter:409200  2141m 47s (- 865m 11s) completed: 71%) loss_emb: 0.0000  loss: 1.3510  loss_TTT: 0.0461  acc: 0.6081  lr: 0.0000 
ep/it:1068- 205 niter:409250  2142m 1s (- 864m 55s) completed: 71%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0471  acc: 0.6047  lr: 0.0000 
ep/it:1068- 255 niter:409300  2142m 15s (- 864m 39s) completed: 71%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0483  acc: 0.5967  lr: 0.0000 
ep/it:1068- 305 niter:409350  2142m 30s (- 864m 22s) completed: 71%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0465  acc: 0.5973  lr: 0.0000 
ep/it:1068- 355 niter:409400  2142m 44s (- 864m 6s) completed: 71%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0485  acc: 0.6046  lr: 0.0000 
Validation loss:1.617, accuracy:0.558
ep/it:1069-  22 niter:409450  2143m 1s (- 863m 51s) completed: 71%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0494  acc: 0.5969  lr: 0.0000 
ep/it:1069-  72 niter:409500  2143m 15s (- 863m 35s) completed: 71%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0481  acc: 0.6010  lr: 0.0000 
ep/it:1069- 122 niter:409550  2143m 30s (- 863m 19s) completed: 71%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0484  acc: 0.5988  lr: 0.0000 
ep/it:1069- 172 niter:409600  2143m 45s (- 863m 2s) completed: 71%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0477  acc: 0.5911  lr: 0.0000 
ep/it:1069- 222 niter:409650  2143m 59s (- 862m 46s) completed: 71%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0462  acc: 0.6058  lr: 0.0000 
ep/it:1069- 272 niter:409700  2144m 13s (- 862m 30s) completed: 71%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0465  acc: 0.6055  lr: 0.0000 
ep/it:1069- 322 niter:409750  2144m 27s (- 862m 13s) completed: 71%) loss_emb: 0.0000  loss: 1.3487  loss_TTT: 0.0480  acc: 0.6094  lr: 0.0000 
ep/it:1069- 372 niter:409800  2144m 41s (- 861m 57s) completed: 71%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0466  acc: 0.5984  lr: 0.0000 
Validation loss:1.578, accuracy:0.570

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.86it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.77523560915142 avg: 38.77523560915142
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.67871371284127 avg: 38.72697466099635
--> 	 Eva. Repeat 0 :, FID. 0.1041, Diversity Real. 9.5459, Diversity. 9.8620, R_precision_real. [0.55957031 0.71191406 0.8046875 ], R_precision. [0.52929688 0.70605469 0.81445312], matching_score_real. 2.8455, matching_score_pred. 2.8673, skate_ratio. 0.0446, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0605 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0139 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0297 
ep/it:1070-  39 niter:409850  2146m 17s (- 862m 13s) completed: 71%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0458  acc: 0.5970  lr: 0.0000 
ep/it:1070-  89 niter:409900  2146m 31s (- 861m 57s) completed: 71%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0522  acc: 0.6011  lr: 0.0000 
ep/it:1070- 139 niter:409950  2146m 45s (- 861m 41s) completed: 71%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0490  acc: 0.6049  lr: 0.0000 
ep/it:1070- 189 niter:410000  2146m 59s (- 861m 24s) completed: 71%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0471  acc: 0.5993  lr: 0.0000 
ep/it:1070- 239 niter:410050  2147m 13s (- 861m 8s) completed: 71%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0477  acc: 0.6044  lr: 0.0000 
ep/it:1070- 289 niter:410100  2147m 27s (- 860m 52s) completed: 71%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0480  acc: 0.6047  lr: 0.0000 
ep/it:1070- 339 niter:410150  2147m 42s (- 860m 35s) completed: 71%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0478  acc: 0.5927  lr: 0.0000 
Validation loss:1.570, accuracy:0.570
ep/it:1071-   6 niter:410200  2147m 58s (- 860m 20s) completed: 71%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0474  acc: 0.6029  lr: 0.0000 
ep/it:1071-  56 niter:410250  2148m 12s (- 860m 4s) completed: 71%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0499  acc: 0.5934  lr: 0.0000 
ep/it:1071- 106 niter:410300  2148m 26s (- 859m 47s) completed: 71%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0487  acc: 0.5955  lr: 0.0000 
ep/it:1071- 156 niter:410350  2148m 40s (- 859m 31s) completed: 71%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0480  acc: 0.5942  lr: 0.0000 
ep/it:1071- 206 niter:410400  2148m 55s (- 859m 15s) completed: 71%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0467  acc: 0.6004  lr: 0.0000 
ep/it:1071- 256 niter:410450  2149m 9s (- 858m 58s) completed: 71%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0489  acc: 0.5978  lr: 0.0000 
ep/it:1071- 306 niter:410500  2149m 23s (- 858m 42s) completed: 71%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0478  acc: 0.6004  lr: 0.0000 
ep/it:1071- 356 niter:410550  2149m 37s (- 858m 26s) completed: 71%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0490  acc: 0.5999  lr: 0.0000 
Validation loss:1.554, accuracy:0.572
ep/it:1072-  23 niter:410600  2149m 54s (- 858m 10s) completed: 71%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0492  acc: 0.5970  lr: 0.0000 
ep/it:1072-  73 niter:410650  2150m 8s (- 857m 54s) completed: 71%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0486  acc: 0.5981  lr: 0.0000 
ep/it:1072- 123 niter:410700  2150m 22s (- 857m 38s) completed: 71%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0464  acc: 0.6020  lr: 0.0000 
ep/it:1072- 173 niter:410750  2150m 36s (- 857m 21s) completed: 71%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0466  acc: 0.5955  lr: 0.0000 
ep/it:1072- 223 niter:410800  2150m 50s (- 857m 5s) completed: 71%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0463  acc: 0.6044  lr: 0.0000 
ep/it:1072- 273 niter:410850  2151m 4s (- 856m 48s) completed: 71%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0446  acc: 0.5995  lr: 0.0000 
ep/it:1072- 323 niter:410900  2151m 18s (- 856m 32s) completed: 71%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0475  acc: 0.5997  lr: 0.0000 
ep/it:1072- 373 niter:410950  2151m 32s (- 856m 16s) completed: 71%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0463  acc: 0.5973  lr: 0.0000 
Validation loss:1.601, accuracy:0.562
ep/it:1073-  40 niter:411000  2151m 49s (- 856m 0s) completed: 71%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0468  acc: 0.6046  lr: 0.0000 
ep/it:1073-  90 niter:411050  2152m 3s (- 855m 44s) completed: 71%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0452  acc: 0.5936  lr: 0.0000 
ep/it:1073- 140 niter:411100  2152m 17s (- 855m 28s) completed: 71%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0469  acc: 0.6067  lr: 0.0000 
ep/it:1073- 190 niter:411150  2152m 31s (- 855m 12s) completed: 71%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0473  acc: 0.5908  lr: 0.0000 
ep/it:1073- 240 niter:411200  2152m 46s (- 854m 55s) completed: 71%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0460  acc: 0.6009  lr: 0.0000 
ep/it:1073- 290 niter:411250  2153m 0s (- 854m 39s) completed: 71%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0481  acc: 0.5933  lr: 0.0000 
ep/it:1073- 340 niter:411300  2153m 14s (- 854m 23s) completed: 71%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0458  acc: 0.5959  lr: 0.0000 
Validation loss:1.571, accuracy:0.569
ep/it:1074-   7 niter:411350  2153m 32s (- 854m 8s) completed: 71%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0458  acc: 0.5967  lr: 0.0000 
ep/it:1074-  57 niter:411400  2153m 47s (- 853m 52s) completed: 71%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0459  acc: 0.5988  lr: 0.0000 
ep/it:1074- 107 niter:411450  2154m 2s (- 853m 36s) completed: 71%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0491  acc: 0.5985  lr: 0.0000 
ep/it:1074- 157 niter:411500  2154m 16s (- 853m 20s) completed: 71%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0518  acc: 0.5974  lr: 0.0000 
ep/it:1074- 207 niter:411550  2154m 32s (- 853m 4s) completed: 71%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0494  acc: 0.6016  lr: 0.0000 
ep/it:1074- 257 niter:411600  2154m 46s (- 852m 48s) completed: 71%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0472  acc: 0.5988  lr: 0.0000 
ep/it:1074- 307 niter:411650  2155m 1s (- 852m 32s) completed: 71%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0487  acc: 0.5992  lr: 0.0000 
ep/it:1074- 357 niter:411700  2155m 16s (- 852m 16s) completed: 71%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0470  acc: 0.5946  lr: 0.0000 
Validation loss:1.614, accuracy:0.561
ep/it:1075-  24 niter:411750  2155m 33s (- 852m 0s) completed: 71%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0479  acc: 0.6067  lr: 0.0000 
ep/it:1075-  74 niter:411800  2155m 47s (- 851m 44s) completed: 71%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0481  acc: 0.5998  lr: 0.0000 
ep/it:1075- 124 niter:411850  2156m 1s (- 851m 28s) completed: 71%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0480  acc: 0.5997  lr: 0.0000 
ep/it:1075- 174 niter:411900  2156m 15s (- 851m 11s) completed: 71%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0496  acc: 0.5941  lr: 0.0000 
ep/it:1075- 224 niter:411950  2156m 29s (- 850m 55s) completed: 71%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0471  acc: 0.5999  lr: 0.0000 
ep/it:1075- 274 niter:412000  2156m 43s (- 850m 38s) completed: 71%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0484  acc: 0.6017  lr: 0.0000 
ep/it:1075- 324 niter:412050  2156m 58s (- 850m 23s) completed: 71%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0479  acc: 0.6023  lr: 0.0000 
ep/it:1075- 374 niter:412100  2157m 12s (- 850m 6s) completed: 71%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0473  acc: 0.5943  lr: 0.0000 
Validation loss:1.592, accuracy:0.565
ep/it:1076-  41 niter:412150  2157m 29s (- 849m 51s) completed: 71%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0474  acc: 0.6009  lr: 0.0000 
ep/it:1076-  91 niter:412200  2157m 44s (- 849m 35s) completed: 71%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0479  acc: 0.5974  lr: 0.0000 
ep/it:1076- 141 niter:412250  2157m 58s (- 849m 19s) completed: 71%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0485  acc: 0.5927  lr: 0.0000 
ep/it:1076- 191 niter:412300  2158m 13s (- 849m 2s) completed: 71%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0473  acc: 0.6020  lr: 0.0000 
ep/it:1076- 241 niter:412350  2158m 27s (- 848m 46s) completed: 71%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0470  acc: 0.6028  lr: 0.0000 
ep/it:1076- 291 niter:412400  2158m 42s (- 848m 30s) completed: 71%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0483  acc: 0.5982  lr: 0.0000 
ep/it:1076- 341 niter:412450  2158m 56s (- 848m 14s) completed: 71%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0477  acc: 0.6051  lr: 0.0000 
Validation loss:1.570, accuracy:0.569
ep/it:1077-   8 niter:412500  2159m 14s (- 847m 59s) completed: 71%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0482  acc: 0.6005  lr: 0.0000 
ep/it:1077-  58 niter:412550  2159m 29s (- 847m 43s) completed: 71%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0477  acc: 0.6003  lr: 0.0000 
ep/it:1077- 108 niter:412600  2159m 43s (- 847m 27s) completed: 71%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0478  acc: 0.5993  lr: 0.0000 
ep/it:1077- 158 niter:412650  2159m 58s (- 847m 11s) completed: 71%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0473  acc: 0.5984  lr: 0.0000 
ep/it:1077- 208 niter:412700  2160m 12s (- 846m 54s) completed: 71%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0492  acc: 0.5997  lr: 0.0000 
ep/it:1077- 258 niter:412750  2160m 26s (- 846m 38s) completed: 71%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0468  acc: 0.5958  lr: 0.0000 
ep/it:1077- 308 niter:412800  2160m 41s (- 846m 22s) completed: 71%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0489  acc: 0.5991  lr: 0.0000 
ep/it:1077- 358 niter:412850  2160m 55s (- 846m 6s) completed: 71%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0475  acc: 0.5970  lr: 0.0000 
Validation loss:1.563, accuracy:0.571
ep/it:1078-  25 niter:412900  2161m 12s (- 845m 50s) completed: 71%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0484  acc: 0.5956  lr: 0.0000 
ep/it:1078-  75 niter:412950  2161m 26s (- 845m 34s) completed: 71%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0471  acc: 0.5977  lr: 0.0000 
ep/it:1078- 125 niter:413000  2161m 40s (- 845m 18s) completed: 71%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0465  acc: 0.6016  lr: 0.0000 
ep/it:1078- 175 niter:413050  2161m 55s (- 845m 2s) completed: 71%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0454  acc: 0.5980  lr: 0.0000 
ep/it:1078- 225 niter:413100  2162m 9s (- 844m 45s) completed: 71%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0473  acc: 0.6033  lr: 0.0000 
ep/it:1078- 275 niter:413150  2162m 23s (- 844m 29s) completed: 71%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0471  acc: 0.5986  lr: 0.0000 
ep/it:1078- 325 niter:413200  2162m 38s (- 844m 13s) completed: 71%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0470  acc: 0.6009  lr: 0.0000 
ep/it:1078- 375 niter:413250  2162m 52s (- 843m 57s) completed: 71%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0502  acc: 0.6004  lr: 0.0000 
Validation loss:1.593, accuracy:0.564
ep/it:1079-  42 niter:413300  2163m 8s (- 843m 41s) completed: 71%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0477  acc: 0.5930  lr: 0.0000 
ep/it:1079-  92 niter:413350  2163m 22s (- 843m 25s) completed: 71%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0482  acc: 0.5997  lr: 0.0000 
ep/it:1079- 142 niter:413400  2163m 37s (- 843m 9s) completed: 71%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0500  acc: 0.6019  lr: 0.0000 
ep/it:1079- 192 niter:413450  2163m 51s (- 842m 53s) completed: 71%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0482  acc: 0.5995  lr: 0.0000 
ep/it:1079- 242 niter:413500  2164m 6s (- 842m 36s) completed: 71%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0481  acc: 0.5970  lr: 0.0000 
ep/it:1079- 292 niter:413550  2164m 20s (- 842m 20s) completed: 71%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0475  acc: 0.6016  lr: 0.0000 
ep/it:1079- 342 niter:413600  2164m 35s (- 842m 4s) completed: 71%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0463  acc: 0.5991  lr: 0.0000 
Validation loss:1.572, accuracy:0.569

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.04it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.708224593661726 avg: 38.708224593661726
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.38597511313856 avg: 38.54709985340014
--> 	 Eva. Repeat 0 :, FID. 0.0828, Diversity Real. 9.6191, Diversity. 9.4141, R_precision_real. [0.50878906 0.67871094 0.77148438], R_precision. [0.51660156 0.69726562 0.79785156], matching_score_real. 2.9918, matching_score_pred. 2.9203, skate_ratio. 0.0446, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0684 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0133 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0297 
ep/it:1080-   9 niter:413650  2166m 10s (- 842m 19s) completed: 72%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0452  acc: 0.6019  lr: 0.0000 
ep/it:1080-  59 niter:413700  2166m 24s (- 842m 3s) completed: 72%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0452  acc: 0.5977  lr: 0.0000 
ep/it:1080- 109 niter:413750  2166m 38s (- 841m 47s) completed: 72%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0483  acc: 0.6021  lr: 0.0000 
ep/it:1080- 159 niter:413800  2166m 52s (- 841m 30s) completed: 72%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0492  acc: 0.5952  lr: 0.0000 
ep/it:1080- 209 niter:413850  2167m 6s (- 841m 14s) completed: 72%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0483  acc: 0.5968  lr: 0.0000 
ep/it:1080- 259 niter:413900  2167m 21s (- 840m 58s) completed: 72%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0479  acc: 0.5956  lr: 0.0000 
ep/it:1080- 309 niter:413950  2167m 35s (- 840m 41s) completed: 72%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0476  acc: 0.5942  lr: 0.0000 
ep/it:1080- 359 niter:414000  2167m 49s (- 840m 25s) completed: 72%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0500  acc: 0.5991  lr: 0.0000 
Validation loss:1.540, accuracy:0.577
ep/it:1081-  26 niter:414050  2168m 6s (- 840m 10s) completed: 72%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0477  acc: 0.6017  lr: 0.0000 
ep/it:1081-  76 niter:414100  2168m 20s (- 839m 53s) completed: 72%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0485  acc: 0.5997  lr: 0.0000 
ep/it:1081- 126 niter:414150  2168m 34s (- 839m 37s) completed: 72%) loss_emb: 0.0000  loss: 1.3519  loss_TTT: 0.0488  acc: 0.6074  lr: 0.0000 
ep/it:1081- 176 niter:414200  2168m 48s (- 839m 21s) completed: 72%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0471  acc: 0.5957  lr: 0.0000 
ep/it:1081- 226 niter:414250  2169m 2s (- 839m 4s) completed: 72%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0484  acc: 0.5971  lr: 0.0000 
ep/it:1081- 276 niter:414300  2169m 16s (- 838m 48s) completed: 72%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0478  acc: 0.5949  lr: 0.0000 
ep/it:1081- 326 niter:414350  2169m 30s (- 838m 32s) completed: 72%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0469  acc: 0.5974  lr: 0.0000 
ep/it:1081- 376 niter:414400  2169m 44s (- 838m 15s) completed: 72%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0487  acc: 0.5993  lr: 0.0000 
Validation loss:1.595, accuracy:0.564
ep/it:1082-  43 niter:414450  2170m 0s (- 838m 0s) completed: 72%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0501  acc: 0.6003  lr: 0.0000 
ep/it:1082-  93 niter:414500  2170m 15s (- 837m 43s) completed: 72%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0465  acc: 0.5962  lr: 0.0000 
ep/it:1082- 143 niter:414550  2170m 29s (- 837m 27s) completed: 72%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0466  acc: 0.5983  lr: 0.0000 
ep/it:1082- 193 niter:414600  2170m 43s (- 837m 11s) completed: 72%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0464  acc: 0.5998  lr: 0.0000 
ep/it:1082- 243 niter:414650  2170m 57s (- 836m 54s) completed: 72%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0485  acc: 0.5997  lr: 0.0000 
ep/it:1082- 293 niter:414700  2171m 11s (- 836m 38s) completed: 72%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0498  acc: 0.5978  lr: 0.0000 
ep/it:1082- 343 niter:414750  2171m 25s (- 836m 22s) completed: 72%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0490  acc: 0.5926  lr: 0.0000 
Validation loss:1.560, accuracy:0.573
ep/it:1083-  10 niter:414800  2171m 41s (- 836m 6s) completed: 72%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0494  acc: 0.6009  lr: 0.0000 
ep/it:1083-  60 niter:414850  2171m 55s (- 835m 50s) completed: 72%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0494  acc: 0.6010  lr: 0.0000 
ep/it:1083- 110 niter:414900  2172m 9s (- 835m 33s) completed: 72%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0473  acc: 0.5998  lr: 0.0000 
ep/it:1083- 160 niter:414950  2172m 23s (- 835m 17s) completed: 72%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0487  acc: 0.6011  lr: 0.0000 
ep/it:1083- 210 niter:415000  2172m 37s (- 835m 1s) completed: 72%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0476  acc: 0.5969  lr: 0.0000 
ep/it:1083- 260 niter:415050  2172m 52s (- 834m 45s) completed: 72%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0474  acc: 0.6048  lr: 0.0000 
ep/it:1083- 310 niter:415100  2173m 6s (- 834m 28s) completed: 72%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0481  acc: 0.5982  lr: 0.0000 
ep/it:1083- 360 niter:415150  2173m 20s (- 834m 12s) completed: 72%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0472  acc: 0.6000  lr: 0.0000 
Validation loss:1.563, accuracy:0.572
ep/it:1084-  27 niter:415200  2173m 37s (- 833m 57s) completed: 72%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0495  acc: 0.5981  lr: 0.0000 
ep/it:1084-  77 niter:415250  2173m 50s (- 833m 40s) completed: 72%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0476  acc: 0.5978  lr: 0.0000 
ep/it:1084- 127 niter:415300  2174m 5s (- 833m 24s) completed: 72%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0476  acc: 0.6012  lr: 0.0000 
ep/it:1084- 177 niter:415350  2174m 19s (- 833m 8s) completed: 72%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0485  acc: 0.6040  lr: 0.0000 
ep/it:1084- 227 niter:415400  2174m 33s (- 832m 51s) completed: 72%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0479  acc: 0.6012  lr: 0.0000 
ep/it:1084- 277 niter:415450  2174m 47s (- 832m 35s) completed: 72%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0485  acc: 0.5932  lr: 0.0000 
ep/it:1084- 327 niter:415500  2175m 1s (- 832m 19s) completed: 72%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0487  acc: 0.5953  lr: 0.0000 
ep/it:1084- 377 niter:415550  2175m 15s (- 832m 2s) completed: 72%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0478  acc: 0.6050  lr: 0.0000 
Validation loss:1.622, accuracy:0.557
ep/it:1085-  44 niter:415600  2175m 32s (- 831m 47s) completed: 72%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0473  acc: 0.5997  lr: 0.0000 
ep/it:1085-  94 niter:415650  2175m 46s (- 831m 31s) completed: 72%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0476  acc: 0.5945  lr: 0.0000 
ep/it:1085- 144 niter:415700  2176m 0s (- 831m 14s) completed: 72%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0484  acc: 0.5994  lr: 0.0000 
ep/it:1085- 194 niter:415750  2176m 14s (- 830m 58s) completed: 72%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0473  acc: 0.5981  lr: 0.0000 
ep/it:1085- 244 niter:415800  2176m 28s (- 830m 42s) completed: 72%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0474  acc: 0.6030  lr: 0.0000 
ep/it:1085- 294 niter:415850  2176m 42s (- 830m 25s) completed: 72%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0465  acc: 0.5982  lr: 0.0000 
ep/it:1085- 344 niter:415900  2176m 56s (- 830m 9s) completed: 72%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0477  acc: 0.6024  lr: 0.0000 
Validation loss:1.634, accuracy:0.553
ep/it:1086-  11 niter:415950  2177m 12s (- 829m 53s) completed: 72%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0467  acc: 0.6000  lr: 0.0000 
ep/it:1086-  61 niter:416000  2177m 26s (- 829m 37s) completed: 72%) loss_emb: 0.0000  loss: 1.3584  loss_TTT: 0.0478  acc: 0.6053  lr: 0.0000 
ep/it:1086- 111 niter:416050  2177m 41s (- 829m 21s) completed: 72%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0495  acc: 0.5971  lr: 0.0000 
ep/it:1086- 161 niter:416100  2177m 55s (- 829m 5s) completed: 72%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0474  acc: 0.6056  lr: 0.0000 
ep/it:1086- 211 niter:416150  2178m 9s (- 828m 49s) completed: 72%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0463  acc: 0.6059  lr: 0.0000 
ep/it:1086- 261 niter:416200  2178m 23s (- 828m 32s) completed: 72%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0477  acc: 0.5901  lr: 0.0000 
ep/it:1086- 311 niter:416250  2178m 38s (- 828m 16s) completed: 72%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0478  acc: 0.6037  lr: 0.0000 
ep/it:1086- 361 niter:416300  2178m 52s (- 828m 0s) completed: 72%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0468  acc: 0.5988  lr: 0.0000 
Validation loss:1.617, accuracy:0.556
ep/it:1087-  28 niter:416350  2179m 9s (- 827m 44s) completed: 72%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0478  acc: 0.6031  lr: 0.0000 
ep/it:1087-  78 niter:416400  2179m 24s (- 827m 28s) completed: 72%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0476  acc: 0.5984  lr: 0.0000 
ep/it:1087- 128 niter:416450  2179m 38s (- 827m 12s) completed: 72%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0482  acc: 0.5958  lr: 0.0000 
ep/it:1087- 178 niter:416500  2179m 52s (- 826m 56s) completed: 72%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0474  acc: 0.6107  lr: 0.0000 
ep/it:1087- 228 niter:416550  2180m 7s (- 826m 40s) completed: 72%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0484  acc: 0.5999  lr: 0.0000 
ep/it:1087- 278 niter:416600  2180m 22s (- 826m 24s) completed: 72%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0467  acc: 0.6087  lr: 0.0000 
ep/it:1087- 328 niter:416650  2180m 36s (- 826m 8s) completed: 72%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0457  acc: 0.5923  lr: 0.0000 
ep/it:1087- 378 niter:416700  2180m 50s (- 825m 51s) completed: 72%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0480  acc: 0.5919  lr: 0.0000 
Validation loss:1.548, accuracy:0.577
ep/it:1088-  45 niter:416750  2181m 7s (- 825m 36s) completed: 72%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0472  acc: 0.5992  lr: 0.0000 
ep/it:1088-  95 niter:416800  2181m 21s (- 825m 20s) completed: 72%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0475  acc: 0.6003  lr: 0.0000 
ep/it:1088- 145 niter:416850  2181m 35s (- 825m 3s) completed: 72%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0473  acc: 0.6007  lr: 0.0000 
ep/it:1088- 195 niter:416900  2181m 49s (- 824m 47s) completed: 72%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0497  acc: 0.6052  lr: 0.0000 
ep/it:1088- 245 niter:416950  2182m 3s (- 824m 31s) completed: 72%) loss_emb: 0.0000  loss: 1.3690  loss_TTT: 0.0486  acc: 0.6037  lr: 0.0000 
ep/it:1088- 295 niter:417000  2182m 17s (- 824m 14s) completed: 72%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0483  acc: 0.5984  lr: 0.0000 
ep/it:1088- 345 niter:417050  2182m 32s (- 823m 58s) completed: 72%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0496  acc: 0.5998  lr: 0.0000 
Validation loss:1.579, accuracy:0.567
ep/it:1089-  12 niter:417100  2182m 49s (- 823m 43s) completed: 72%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0477  acc: 0.5931  lr: 0.0000 
ep/it:1089-  62 niter:417150  2183m 3s (- 823m 27s) completed: 72%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0466  acc: 0.6070  lr: 0.0000 
ep/it:1089- 112 niter:417200  2183m 18s (- 823m 11s) completed: 72%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0473  acc: 0.6034  lr: 0.0000 
ep/it:1089- 162 niter:417250  2183m 33s (- 822m 55s) completed: 72%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0483  acc: 0.5925  lr: 0.0000 
ep/it:1089- 212 niter:417300  2183m 47s (- 822m 39s) completed: 72%) loss_emb: 0.0000  loss: 1.4263  loss_TTT: 0.0504  acc: 0.5888  lr: 0.0000 
ep/it:1089- 262 niter:417350  2184m 2s (- 822m 23s) completed: 72%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0484  acc: 0.5983  lr: 0.0000 
ep/it:1089- 312 niter:417400  2184m 16s (- 822m 6s) completed: 72%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0468  acc: 0.5928  lr: 0.0000 
ep/it:1089- 362 niter:417450  2184m 31s (- 821m 50s) completed: 72%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0486  acc: 0.5957  lr: 0.0000 
Validation loss:1.582, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.99it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.287696685642004 avg: 38.287696685642004
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.620850674808025 avg: 38.454273680225015
--> 	 Eva. Repeat 0 :, FID. 0.0622, Diversity Real. 9.3177, Diversity. 9.5025, R_precision_real. [0.51269531 0.69628906 0.77929688], R_precision. [0.53710938 0.70703125 0.79101562], matching_score_real. 2.9104, matching_score_pred. 2.8754, skate_ratio. 0.0480, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0576 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0106 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0269 
ep/it:1090-  29 niter:417500  2186m 6s (- 822m 4s) completed: 72%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0466  acc: 0.6019  lr: 0.0000 
ep/it:1090-  79 niter:417550  2186m 21s (- 821m 48s) completed: 72%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0491  acc: 0.6000  lr: 0.0000 
ep/it:1090- 129 niter:417600  2186m 35s (- 821m 32s) completed: 72%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0493  acc: 0.5940  lr: 0.0000 
ep/it:1090- 179 niter:417650  2186m 49s (- 821m 16s) completed: 72%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0495  acc: 0.5950  lr: 0.0000 
ep/it:1090- 229 niter:417700  2187m 3s (- 820m 59s) completed: 72%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0484  acc: 0.5993  lr: 0.0000 
ep/it:1090- 279 niter:417750  2187m 17s (- 820m 43s) completed: 72%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0486  acc: 0.5998  lr: 0.0000 
ep/it:1090- 329 niter:417800  2187m 31s (- 820m 27s) completed: 72%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0466  acc: 0.6019  lr: 0.0000 
ep/it:1090- 379 niter:417850  2187m 45s (- 820m 10s) completed: 72%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0493  acc: 0.6009  lr: 0.0000 
Validation loss:1.577, accuracy:0.569
ep/it:1091-  46 niter:417900  2188m 1s (- 819m 55s) completed: 72%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0501  acc: 0.5949  lr: 0.0000 
ep/it:1091-  96 niter:417950  2188m 15s (- 819m 38s) completed: 72%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0474  acc: 0.6012  lr: 0.0000 
ep/it:1091- 146 niter:418000  2188m 29s (- 819m 22s) completed: 72%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0467  acc: 0.5930  lr: 0.0000 
ep/it:1091- 196 niter:418050  2188m 44s (- 819m 6s) completed: 72%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0473  acc: 0.6021  lr: 0.0000 
ep/it:1091- 246 niter:418100  2188m 58s (- 818m 50s) completed: 72%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0493  acc: 0.6034  lr: 0.0000 
ep/it:1091- 296 niter:418150  2189m 12s (- 818m 33s) completed: 72%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0480  acc: 0.5981  lr: 0.0000 
ep/it:1091- 346 niter:418200  2189m 26s (- 818m 17s) completed: 72%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0478  acc: 0.5920  lr: 0.0000 
Validation loss:1.575, accuracy:0.569
ep/it:1092-  13 niter:418250  2189m 43s (- 818m 2s) completed: 72%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0467  acc: 0.5996  lr: 0.0000 
ep/it:1092-  63 niter:418300  2189m 57s (- 817m 45s) completed: 72%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0498  acc: 0.6050  lr: 0.0000 
ep/it:1092- 113 niter:418350  2190m 11s (- 817m 29s) completed: 72%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0465  acc: 0.6029  lr: 0.0000 
ep/it:1092- 163 niter:418400  2190m 25s (- 817m 13s) completed: 72%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0485  acc: 0.5999  lr: 0.0000 
ep/it:1092- 213 niter:418450  2190m 40s (- 816m 57s) completed: 72%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0460  acc: 0.6041  lr: 0.0000 
ep/it:1092- 263 niter:418500  2190m 54s (- 816m 40s) completed: 72%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0473  acc: 0.6006  lr: 0.0000 
ep/it:1092- 313 niter:418550  2191m 8s (- 816m 24s) completed: 72%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0465  acc: 0.5951  lr: 0.0000 
ep/it:1092- 363 niter:418600  2191m 22s (- 816m 8s) completed: 72%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0471  acc: 0.6001  lr: 0.0000 
Validation loss:1.595, accuracy:0.564
ep/it:1093-  30 niter:418650  2191m 39s (- 815m 52s) completed: 72%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0465  acc: 0.5936  lr: 0.0000 
ep/it:1093-  80 niter:418700  2191m 53s (- 815m 36s) completed: 72%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0473  acc: 0.5961  lr: 0.0000 
ep/it:1093- 130 niter:418750  2192m 6s (- 815m 20s) completed: 72%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0467  acc: 0.6013  lr: 0.0000 
ep/it:1093- 180 niter:418800  2192m 21s (- 815m 3s) completed: 72%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0465  acc: 0.6060  lr: 0.0000 
ep/it:1093- 230 niter:418850  2192m 35s (- 814m 47s) completed: 72%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0457  acc: 0.5964  lr: 0.0000 
ep/it:1093- 280 niter:418900  2192m 48s (- 814m 31s) completed: 72%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0475  acc: 0.5991  lr: 0.0000 
ep/it:1093- 330 niter:418950  2193m 3s (- 814m 14s) completed: 72%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0457  acc: 0.6031  lr: 0.0000 
ep/it:1093- 380 niter:419000  2193m 17s (- 813m 58s) completed: 72%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0492  acc: 0.5944  lr: 0.0000 
Validation loss:1.605, accuracy:0.561
ep/it:1094-  47 niter:419050  2193m 34s (- 813m 43s) completed: 72%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0491  acc: 0.5990  lr: 0.0000 
ep/it:1094-  97 niter:419100  2193m 49s (- 813m 27s) completed: 72%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0464  acc: 0.5976  lr: 0.0000 
ep/it:1094- 147 niter:419150  2194m 3s (- 813m 11s) completed: 72%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0479  acc: 0.5926  lr: 0.0000 
ep/it:1094- 197 niter:419200  2194m 18s (- 812m 55s) completed: 72%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0493  acc: 0.5944  lr: 0.0000 
ep/it:1094- 247 niter:419250  2194m 32s (- 812m 39s) completed: 72%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0476  acc: 0.6041  lr: 0.0000 
ep/it:1094- 297 niter:419300  2194m 47s (- 812m 22s) completed: 72%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0465  acc: 0.6025  lr: 0.0000 
ep/it:1094- 347 niter:419350  2195m 1s (- 812m 6s) completed: 72%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0495  acc: 0.5965  lr: 0.0000 
Validation loss:1.610, accuracy:0.559
ep/it:1095-  14 niter:419400  2195m 18s (- 811m 51s) completed: 73%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0475  acc: 0.6015  lr: 0.0000 
ep/it:1095-  64 niter:419450  2195m 33s (- 811m 35s) completed: 73%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0459  acc: 0.5978  lr: 0.0000 
ep/it:1095- 114 niter:419500  2195m 48s (- 811m 19s) completed: 73%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0469  acc: 0.5968  lr: 0.0000 
ep/it:1095- 164 niter:419550  2196m 2s (- 811m 3s) completed: 73%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0481  acc: 0.5965  lr: 0.0000 
ep/it:1095- 214 niter:419600  2196m 17s (- 810m 46s) completed: 73%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0480  acc: 0.5952  lr: 0.0000 
ep/it:1095- 264 niter:419650  2196m 31s (- 810m 30s) completed: 73%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0472  acc: 0.6017  lr: 0.0000 
ep/it:1095- 314 niter:419700  2196m 45s (- 810m 14s) completed: 73%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0473  acc: 0.5943  lr: 0.0000 
ep/it:1095- 364 niter:419750  2196m 59s (- 809m 58s) completed: 73%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0488  acc: 0.6003  lr: 0.0000 
Validation loss:1.561, accuracy:0.571
ep/it:1096-  31 niter:419800  2197m 16s (- 809m 42s) completed: 73%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0498  acc: 0.6070  lr: 0.0000 
ep/it:1096-  81 niter:419850  2197m 30s (- 809m 26s) completed: 73%) loss_emb: 0.0000  loss: 1.3546  loss_TTT: 0.0456  acc: 0.6068  lr: 0.0000 
ep/it:1096- 131 niter:419900  2197m 45s (- 809m 10s) completed: 73%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0467  acc: 0.5965  lr: 0.0000 
ep/it:1096- 181 niter:419950  2197m 59s (- 808m 54s) completed: 73%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0475  acc: 0.5962  lr: 0.0000 
ep/it:1096- 231 niter:420000  2198m 13s (- 808m 37s) completed: 73%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0485  acc: 0.5968  lr: 0.0000 
ep/it:1096- 281 niter:420050  2198m 27s (- 808m 21s) completed: 73%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0468  acc: 0.5999  lr: 0.0000 
ep/it:1096- 331 niter:420100  2198m 42s (- 808m 5s) completed: 73%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0476  acc: 0.6050  lr: 0.0000 
ep/it:1096- 381 niter:420150  2198m 55s (- 807m 49s) completed: 73%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0470  acc: 0.6041  lr: 0.0000 
Validation loss:1.560, accuracy:0.573
ep/it:1097-  48 niter:420200  2199m 12s (- 807m 33s) completed: 73%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0463  acc: 0.6036  lr: 0.0000 
ep/it:1097-  98 niter:420250  2199m 27s (- 807m 17s) completed: 73%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0464  acc: 0.5973  lr: 0.0000 
ep/it:1097- 148 niter:420300  2199m 41s (- 807m 1s) completed: 73%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0491  acc: 0.5980  lr: 0.0000 
ep/it:1097- 198 niter:420350  2199m 55s (- 806m 45s) completed: 73%) loss_emb: 0.0000  loss: 1.3511  loss_TTT: 0.0457  acc: 0.6080  lr: 0.0000 
ep/it:1097- 248 niter:420400  2200m 9s (- 806m 28s) completed: 73%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0476  acc: 0.6111  lr: 0.0000 
ep/it:1097- 298 niter:420450  2200m 23s (- 806m 12s) completed: 73%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0485  acc: 0.5941  lr: 0.0000 
ep/it:1097- 348 niter:420500  2200m 37s (- 805m 56s) completed: 73%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0475  acc: 0.6041  lr: 0.0000 
Validation loss:1.593, accuracy:0.563
ep/it:1098-  15 niter:420550  2200m 54s (- 805m 41s) completed: 73%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0465  acc: 0.6016  lr: 0.0000 
ep/it:1098-  65 niter:420600  2201m 9s (- 805m 24s) completed: 73%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0469  acc: 0.5958  lr: 0.0000 
ep/it:1098- 115 niter:420650  2201m 22s (- 805m 8s) completed: 73%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0483  acc: 0.6036  lr: 0.0000 
ep/it:1098- 165 niter:420700  2201m 37s (- 804m 52s) completed: 73%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0479  acc: 0.5998  lr: 0.0000 
ep/it:1098- 215 niter:420750  2201m 51s (- 804m 36s) completed: 73%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0471  acc: 0.6055  lr: 0.0000 
ep/it:1098- 265 niter:420800  2202m 5s (- 804m 19s) completed: 73%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0461  acc: 0.6060  lr: 0.0000 
ep/it:1098- 315 niter:420850  2202m 19s (- 804m 3s) completed: 73%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0491  acc: 0.5973  lr: 0.0000 
ep/it:1098- 365 niter:420900  2202m 34s (- 803m 47s) completed: 73%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0475  acc: 0.5951  lr: 0.0000 
Validation loss:1.543, accuracy:0.576
ep/it:1099-  32 niter:420950  2202m 51s (- 803m 32s) completed: 73%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0465  acc: 0.5987  lr: 0.0000 
ep/it:1099-  82 niter:421000  2203m 5s (- 803m 15s) completed: 73%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0455  acc: 0.5980  lr: 0.0000 
ep/it:1099- 132 niter:421050  2203m 20s (- 802m 59s) completed: 73%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0473  acc: 0.5972  lr: 0.0000 
ep/it:1099- 182 niter:421100  2203m 34s (- 802m 43s) completed: 73%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0458  acc: 0.6045  lr: 0.0000 
ep/it:1099- 232 niter:421150  2203m 48s (- 802m 27s) completed: 73%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0468  acc: 0.5966  lr: 0.0000 
ep/it:1099- 282 niter:421200  2204m 3s (- 802m 11s) completed: 73%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0462  acc: 0.5969  lr: 0.0000 
ep/it:1099- 332 niter:421250  2204m 17s (- 801m 55s) completed: 73%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0481  acc: 0.5976  lr: 0.0000 
ep/it:1099- 382 niter:421300  2204m 31s (- 801m 38s) completed: 73%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0475  acc: 0.6018  lr: 0.0000 
Validation loss:1.558, accuracy:0.573

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.98it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.56139970570803 avg: 38.56139970570803
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.39771267492324 avg: 38.479556190315634
--> 	 Eva. Repeat 0 :, FID. 0.0629, Diversity Real. 9.4963, Diversity. 9.4948, R_precision_real. [0.53320312 0.72851562 0.81640625], R_precision. [0.52246094 0.71972656 0.8203125 ], matching_score_real. 2.8815, matching_score_pred. 2.8838, skate_ratio. 0.0493, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0645 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0120 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0283 
ep/it:1100-  49 niter:421350  2206m 6s (- 801m 52s) completed: 73%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0481  acc: 0.5960  lr: 0.0000 
ep/it:1100-  99 niter:421400  2206m 21s (- 801m 35s) completed: 73%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0471  acc: 0.5980  lr: 0.0000 
ep/it:1100- 149 niter:421450  2206m 36s (- 801m 19s) completed: 73%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0509  acc: 0.5869  lr: 0.0000 
ep/it:1100- 199 niter:421500  2206m 50s (- 801m 3s) completed: 73%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0466  acc: 0.6038  lr: 0.0000 
ep/it:1100- 249 niter:421550  2207m 4s (- 800m 47s) completed: 73%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0473  acc: 0.5998  lr: 0.0000 
ep/it:1100- 299 niter:421600  2207m 18s (- 800m 31s) completed: 73%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0464  acc: 0.6008  lr: 0.0000 
ep/it:1100- 349 niter:421650  2207m 33s (- 800m 14s) completed: 73%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0477  acc: 0.5882  lr: 0.0000 
Validation loss:1.556, accuracy:0.574
ep/it:1101-  16 niter:421700  2207m 50s (- 799m 59s) completed: 73%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0472  acc: 0.5984  lr: 0.0000 
ep/it:1101-  66 niter:421750  2208m 4s (- 799m 43s) completed: 73%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0498  acc: 0.5946  lr: 0.0000 
ep/it:1101- 116 niter:421800  2208m 18s (- 799m 27s) completed: 73%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0508  acc: 0.6007  lr: 0.0000 
ep/it:1101- 166 niter:421850  2208m 33s (- 799m 10s) completed: 73%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0471  acc: 0.5976  lr: 0.0000 
ep/it:1101- 216 niter:421900  2208m 47s (- 798m 54s) completed: 73%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0475  acc: 0.5979  lr: 0.0000 
ep/it:1101- 266 niter:421950  2209m 1s (- 798m 38s) completed: 73%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0494  acc: 0.5982  lr: 0.0000 
ep/it:1101- 316 niter:422000  2209m 15s (- 798m 22s) completed: 73%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0478  acc: 0.6042  lr: 0.0000 
ep/it:1101- 366 niter:422050  2209m 29s (- 798m 5s) completed: 73%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0489  acc: 0.5968  lr: 0.0000 
Validation loss:1.605, accuracy:0.564
ep/it:1102-  33 niter:422100  2209m 46s (- 797m 50s) completed: 73%) loss_emb: 0.0000  loss: 1.3355  loss_TTT: 0.0473  acc: 0.6127  lr: 0.0000 
ep/it:1102-  83 niter:422150  2210m 0s (- 797m 34s) completed: 73%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0475  acc: 0.5999  lr: 0.0000 
ep/it:1102- 133 niter:422200  2210m 15s (- 797m 18s) completed: 73%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0486  acc: 0.6019  lr: 0.0000 
ep/it:1102- 183 niter:422250  2210m 29s (- 797m 1s) completed: 73%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0483  acc: 0.5969  lr: 0.0000 
ep/it:1102- 233 niter:422300  2210m 43s (- 796m 45s) completed: 73%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0499  acc: 0.5986  lr: 0.0000 
ep/it:1102- 283 niter:422350  2210m 57s (- 796m 29s) completed: 73%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0486  acc: 0.6011  lr: 0.0000 
ep/it:1102- 333 niter:422400  2211m 11s (- 796m 13s) completed: 73%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0489  acc: 0.6044  lr: 0.0000 
Validation loss:1.607, accuracy:0.559
ep/it:1103-   0 niter:422450  2211m 28s (- 795m 57s) completed: 73%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0497  acc: 0.5993  lr: 0.0000 
ep/it:1103-  50 niter:422500  2211m 42s (- 795m 41s) completed: 73%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0482  acc: 0.5997  lr: 0.0000 
ep/it:1103- 100 niter:422550  2211m 56s (- 795m 25s) completed: 73%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0466  acc: 0.6009  lr: 0.0000 
ep/it:1103- 150 niter:422600  2212m 10s (- 795m 9s) completed: 73%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0468  acc: 0.6055  lr: 0.0000 
ep/it:1103- 200 niter:422650  2212m 25s (- 794m 52s) completed: 73%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0492  acc: 0.6011  lr: 0.0000 
ep/it:1103- 250 niter:422700  2212m 38s (- 794m 36s) completed: 73%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0460  acc: 0.6076  lr: 0.0000 
ep/it:1103- 300 niter:422750  2212m 53s (- 794m 20s) completed: 73%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0479  acc: 0.5988  lr: 0.0000 
ep/it:1103- 350 niter:422800  2213m 7s (- 794m 3s) completed: 73%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0477  acc: 0.5980  lr: 0.0000 
Validation loss:1.571, accuracy:0.571
ep/it:1104-  17 niter:422850  2213m 23s (- 793m 48s) completed: 73%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0499  acc: 0.5957  lr: 0.0000 
ep/it:1104-  67 niter:422900  2213m 37s (- 793m 32s) completed: 73%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0477  acc: 0.5974  lr: 0.0000 
ep/it:1104- 117 niter:422950  2213m 51s (- 793m 15s) completed: 73%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0472  acc: 0.5997  lr: 0.0000 
ep/it:1104- 167 niter:423000  2214m 5s (- 792m 59s) completed: 73%) loss_emb: 0.0000  loss: 1.3392  loss_TTT: 0.0462  acc: 0.6122  lr: 0.0000 
ep/it:1104- 217 niter:423050  2214m 20s (- 792m 43s) completed: 73%) loss_emb: 0.0000  loss: 1.3558  loss_TTT: 0.0477  acc: 0.6059  lr: 0.0000 
ep/it:1104- 267 niter:423100  2214m 34s (- 792m 27s) completed: 73%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0465  acc: 0.5972  lr: 0.0000 
ep/it:1104- 317 niter:423150  2214m 49s (- 792m 11s) completed: 73%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0471  acc: 0.5962  lr: 0.0000 
ep/it:1104- 367 niter:423200  2215m 2s (- 791m 54s) completed: 73%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0468  acc: 0.6051  lr: 0.0000 
Validation loss:1.573, accuracy:0.567
ep/it:1105-  34 niter:423250  2215m 19s (- 791m 39s) completed: 73%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0467  acc: 0.5964  lr: 0.0000 
ep/it:1105-  84 niter:423300  2215m 33s (- 791m 23s) completed: 73%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0454  acc: 0.6034  lr: 0.0000 
ep/it:1105- 134 niter:423350  2215m 47s (- 791m 6s) completed: 73%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0479  acc: 0.5980  lr: 0.0000 
ep/it:1105- 184 niter:423400  2216m 1s (- 790m 50s) completed: 73%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0475  acc: 0.6017  lr: 0.0000 
ep/it:1105- 234 niter:423450  2216m 16s (- 790m 34s) completed: 73%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0485  acc: 0.5970  lr: 0.0000 
ep/it:1105- 284 niter:423500  2216m 29s (- 790m 17s) completed: 73%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0475  acc: 0.6002  lr: 0.0000 
ep/it:1105- 334 niter:423550  2216m 44s (- 790m 1s) completed: 73%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0470  acc: 0.6001  lr: 0.0000 
Validation loss:1.621, accuracy:0.557
ep/it:1106-   1 niter:423600  2217m 1s (- 789m 46s) completed: 73%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0483  acc: 0.5989  lr: 0.0000 
ep/it:1106-  51 niter:423650  2217m 15s (- 789m 30s) completed: 73%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0453  acc: 0.6056  lr: 0.0000 
ep/it:1106- 101 niter:423700  2217m 29s (- 789m 13s) completed: 73%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0478  acc: 0.5944  lr: 0.0000 
ep/it:1106- 151 niter:423750  2217m 43s (- 788m 57s) completed: 73%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0465  acc: 0.5998  lr: 0.0000 
ep/it:1106- 201 niter:423800  2217m 57s (- 788m 41s) completed: 73%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0481  acc: 0.5993  lr: 0.0000 
ep/it:1106- 251 niter:423850  2218m 11s (- 788m 25s) completed: 73%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0489  acc: 0.5920  lr: 0.0000 
ep/it:1106- 301 niter:423900  2218m 25s (- 788m 8s) completed: 73%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0501  acc: 0.5955  lr: 0.0000 
ep/it:1106- 351 niter:423950  2218m 39s (- 787m 52s) completed: 73%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0466  acc: 0.5910  lr: 0.0000 
Validation loss:1.559, accuracy:0.573
ep/it:1107-  18 niter:424000  2218m 56s (- 787m 37s) completed: 73%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0475  acc: 0.5956  lr: 0.0000 
ep/it:1107-  68 niter:424050  2219m 10s (- 787m 20s) completed: 73%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0465  acc: 0.5979  lr: 0.0000 
ep/it:1107- 118 niter:424100  2219m 25s (- 787m 4s) completed: 73%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0471  acc: 0.5969  lr: 0.0000 
ep/it:1107- 168 niter:424150  2219m 39s (- 786m 48s) completed: 73%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0475  acc: 0.6059  lr: 0.0000 
ep/it:1107- 218 niter:424200  2219m 53s (- 786m 32s) completed: 73%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0469  acc: 0.6022  lr: 0.0000 
ep/it:1107- 268 niter:424250  2220m 8s (- 786m 16s) completed: 73%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0477  acc: 0.6056  lr: 0.0000 
ep/it:1107- 318 niter:424300  2220m 21s (- 785m 59s) completed: 73%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0484  acc: 0.6041  lr: 0.0000 
ep/it:1107- 368 niter:424350  2220m 35s (- 785m 43s) completed: 73%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0458  acc: 0.6017  lr: 0.0000 
Validation loss:1.574, accuracy:0.568
ep/it:1108-  35 niter:424400  2220m 52s (- 785m 28s) completed: 73%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0465  acc: 0.6032  lr: 0.0000 
ep/it:1108-  85 niter:424450  2221m 6s (- 785m 11s) completed: 73%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0482  acc: 0.6093  lr: 0.0000 
ep/it:1108- 135 niter:424500  2221m 20s (- 784m 55s) completed: 73%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0468  acc: 0.5993  lr: 0.0000 
ep/it:1108- 185 niter:424550  2221m 34s (- 784m 39s) completed: 73%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0463  acc: 0.6049  lr: 0.0000 
ep/it:1108- 235 niter:424600  2221m 48s (- 784m 22s) completed: 73%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0457  acc: 0.5988  lr: 0.0000 
ep/it:1108- 285 niter:424650  2222m 2s (- 784m 6s) completed: 73%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0494  acc: 0.5999  lr: 0.0000 
ep/it:1108- 335 niter:424700  2222m 17s (- 783m 50s) completed: 73%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0483  acc: 0.5991  lr: 0.0000 
Validation loss:1.587, accuracy:0.566
ep/it:1109-   2 niter:424750  2222m 33s (- 783m 35s) completed: 73%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0475  acc: 0.5894  lr: 0.0000 
ep/it:1109-  52 niter:424800  2222m 48s (- 783m 19s) completed: 73%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0482  acc: 0.5962  lr: 0.0000 
ep/it:1109- 102 niter:424850  2223m 2s (- 783m 2s) completed: 73%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0476  acc: 0.6020  lr: 0.0000 
ep/it:1109- 152 niter:424900  2223m 17s (- 782m 46s) completed: 73%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0474  acc: 0.6072  lr: 0.0000 
ep/it:1109- 202 niter:424950  2223m 31s (- 782m 30s) completed: 73%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0458  acc: 0.6042  lr: 0.0000 
ep/it:1109- 252 niter:425000  2223m 46s (- 782m 14s) completed: 73%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0486  acc: 0.5971  lr: 0.0000 
ep/it:1109- 302 niter:425050  2224m 1s (- 781m 58s) completed: 73%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0485  acc: 0.5925  lr: 0.0000 
ep/it:1109- 352 niter:425100  2224m 15s (- 781m 42s) completed: 73%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0467  acc: 0.6009  lr: 0.0000 
Validation loss:1.590, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.03it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.261952973902225 avg: 38.261952973902225
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.61377770174295 avg: 38.437865337822586
--> 	 Eva. Repeat 0 :, FID. 0.0863, Diversity Real. 9.2354, Diversity. 9.4266, R_precision_real. [0.50390625 0.703125   0.78710938], R_precision. [0.52441406 0.69335938 0.78710938], matching_score_real. 2.9863, matching_score_pred. 2.9147, skate_ratio. 0.0476, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0586 (traj_fail_50cm (Traj err)): 0.0029 (kps_fail_20cm): 0.0102 (kps_fail_50cm (Loc. err)): 0.0008 (kps_mean_err(m) (Avg. err)): 0.0283 
ep/it:1110-  19 niter:425150  2225m 50s (- 781m 54s) completed: 74%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0470  acc: 0.6043  lr: 0.0000 
ep/it:1110-  69 niter:425200  2226m 5s (- 781m 38s) completed: 74%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0469  acc: 0.6037  lr: 0.0000 
ep/it:1110- 119 niter:425250  2226m 20s (- 781m 22s) completed: 74%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0468  acc: 0.6035  lr: 0.0000 
ep/it:1110- 169 niter:425300  2226m 35s (- 781m 6s) completed: 74%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0466  acc: 0.5956  lr: 0.0000 
ep/it:1110- 219 niter:425350  2226m 50s (- 780m 50s) completed: 74%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0474  acc: 0.5989  lr: 0.0000 
ep/it:1110- 269 niter:425400  2227m 4s (- 780m 34s) completed: 74%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0474  acc: 0.5964  lr: 0.0000 
ep/it:1110- 319 niter:425450  2227m 19s (- 780m 18s) completed: 74%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0486  acc: 0.5951  lr: 0.0000 
ep/it:1110- 369 niter:425500  2227m 34s (- 780m 2s) completed: 74%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0473  acc: 0.6023  lr: 0.0000 
Validation loss:1.587, accuracy:0.566
ep/it:1111-  36 niter:425550  2227m 51s (- 779m 47s) completed: 74%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0480  acc: 0.5919  lr: 0.0000 
ep/it:1111-  86 niter:425600  2228m 5s (- 779m 31s) completed: 74%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0465  acc: 0.6001  lr: 0.0000 
ep/it:1111- 136 niter:425650  2228m 19s (- 779m 14s) completed: 74%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0472  acc: 0.5985  lr: 0.0000 
ep/it:1111- 186 niter:425700  2228m 33s (- 778m 58s) completed: 74%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0470  acc: 0.5982  lr: 0.0000 
ep/it:1111- 236 niter:425750  2228m 47s (- 778m 42s) completed: 74%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0495  acc: 0.5986  lr: 0.0000 
ep/it:1111- 286 niter:425800  2229m 1s (- 778m 25s) completed: 74%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0481  acc: 0.5978  lr: 0.0000 
ep/it:1111- 336 niter:425850  2229m 15s (- 778m 9s) completed: 74%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0479  acc: 0.6056  lr: 0.0000 
Validation loss:1.600, accuracy:0.562
ep/it:1112-   3 niter:425900  2229m 32s (- 777m 54s) completed: 74%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0467  acc: 0.5951  lr: 0.0000 
ep/it:1112-  53 niter:425950  2229m 46s (- 777m 38s) completed: 74%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0466  acc: 0.6000  lr: 0.0000 
ep/it:1112- 103 niter:426000  2230m 0s (- 777m 21s) completed: 74%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0459  acc: 0.6014  lr: 0.0000 
ep/it:1112- 153 niter:426050  2230m 14s (- 777m 5s) completed: 74%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0474  acc: 0.6057  lr: 0.0000 
ep/it:1112- 203 niter:426100  2230m 29s (- 776m 49s) completed: 74%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0487  acc: 0.5926  lr: 0.0000 
ep/it:1112- 253 niter:426150  2230m 43s (- 776m 33s) completed: 74%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0486  acc: 0.6015  lr: 0.0000 
ep/it:1112- 303 niter:426200  2230m 57s (- 776m 16s) completed: 74%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0467  acc: 0.6023  lr: 0.0000 
ep/it:1112- 353 niter:426250  2231m 11s (- 776m 0s) completed: 74%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0489  acc: 0.5929  lr: 0.0000 
Validation loss:1.541, accuracy:0.577
ep/it:1113-  20 niter:426300  2231m 28s (- 775m 45s) completed: 74%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0479  acc: 0.5988  lr: 0.0000 
ep/it:1113-  70 niter:426350  2231m 42s (- 775m 28s) completed: 74%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0476  acc: 0.6013  lr: 0.0000 
ep/it:1113- 120 niter:426400  2231m 56s (- 775m 12s) completed: 74%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0485  acc: 0.5974  lr: 0.0000 
ep/it:1113- 170 niter:426450  2232m 11s (- 774m 56s) completed: 74%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0503  acc: 0.5932  lr: 0.0000 
ep/it:1113- 220 niter:426500  2232m 24s (- 774m 40s) completed: 74%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0489  acc: 0.5934  lr: 0.0000 
ep/it:1113- 270 niter:426550  2232m 39s (- 774m 24s) completed: 74%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0483  acc: 0.6045  lr: 0.0000 
ep/it:1113- 320 niter:426600  2232m 53s (- 774m 7s) completed: 74%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0474  acc: 0.6001  lr: 0.0000 
ep/it:1113- 370 niter:426650  2233m 7s (- 773m 51s) completed: 74%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0481  acc: 0.6044  lr: 0.0000 
Validation loss:1.574, accuracy:0.569
ep/it:1114-  37 niter:426700  2233m 24s (- 773m 36s) completed: 74%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0470  acc: 0.6004  lr: 0.0000 
ep/it:1114-  87 niter:426750  2233m 38s (- 773m 20s) completed: 74%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0458  acc: 0.6014  lr: 0.0000 
ep/it:1114- 137 niter:426800  2233m 52s (- 773m 3s) completed: 74%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0476  acc: 0.6025  lr: 0.0000 
ep/it:1114- 187 niter:426850  2234m 7s (- 772m 47s) completed: 74%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0466  acc: 0.6015  lr: 0.0000 
ep/it:1114- 237 niter:426900  2234m 21s (- 772m 31s) completed: 74%) loss_emb: 0.0000  loss: 1.3710  loss_TTT: 0.0461  acc: 0.6026  lr: 0.0000 
ep/it:1114- 287 niter:426950  2234m 36s (- 772m 15s) completed: 74%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0477  acc: 0.6025  lr: 0.0000 
ep/it:1114- 337 niter:427000  2234m 50s (- 771m 59s) completed: 74%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0489  acc: 0.6009  lr: 0.0000 
Validation loss:1.568, accuracy:0.570
ep/it:1115-   4 niter:427050  2235m 7s (- 771m 44s) completed: 74%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0469  acc: 0.6021  lr: 0.0000 
ep/it:1115-  54 niter:427100  2235m 21s (- 771m 27s) completed: 74%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0494  acc: 0.5992  lr: 0.0000 
ep/it:1115- 104 niter:427150  2235m 35s (- 771m 11s) completed: 74%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0481  acc: 0.5919  lr: 0.0000 
ep/it:1115- 154 niter:427200  2235m 50s (- 770m 55s) completed: 74%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0491  acc: 0.6058  lr: 0.0000 
ep/it:1115- 204 niter:427250  2236m 4s (- 770m 39s) completed: 74%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0484  acc: 0.6038  lr: 0.0000 
ep/it:1115- 254 niter:427300  2236m 17s (- 770m 22s) completed: 74%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0485  acc: 0.6004  lr: 0.0000 
ep/it:1115- 304 niter:427350  2236m 32s (- 770m 6s) completed: 74%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0473  acc: 0.5998  lr: 0.0000 
ep/it:1115- 354 niter:427400  2236m 46s (- 769m 50s) completed: 74%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0502  acc: 0.5928  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:1116-  21 niter:427450  2237m 2s (- 769m 34s) completed: 74%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0470  acc: 0.6013  lr: 0.0000 
ep/it:1116-  71 niter:427500  2237m 17s (- 769m 18s) completed: 74%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0473  acc: 0.5996  lr: 0.0000 
ep/it:1116- 121 niter:427550  2237m 31s (- 769m 2s) completed: 74%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0493  acc: 0.5925  lr: 0.0000 
ep/it:1116- 171 niter:427600  2237m 45s (- 768m 46s) completed: 74%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0475  acc: 0.5959  lr: 0.0000 
ep/it:1116- 221 niter:427650  2238m 0s (- 768m 30s) completed: 74%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0483  acc: 0.5980  lr: 0.0000 
ep/it:1116- 271 niter:427700  2238m 14s (- 768m 13s) completed: 74%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0497  acc: 0.5980  lr: 0.0000 
ep/it:1116- 321 niter:427750  2238m 27s (- 767m 57s) completed: 74%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0483  acc: 0.5992  lr: 0.0000 
ep/it:1116- 371 niter:427800  2238m 42s (- 767m 41s) completed: 74%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0478  acc: 0.5982  lr: 0.0000 
Validation loss:1.615, accuracy:0.557
ep/it:1117-  38 niter:427850  2238m 58s (- 767m 26s) completed: 74%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0468  acc: 0.6060  lr: 0.0000 
ep/it:1117-  88 niter:427900  2239m 12s (- 767m 9s) completed: 74%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0471  acc: 0.5961  lr: 0.0000 
ep/it:1117- 138 niter:427950  2239m 27s (- 766m 53s) completed: 74%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0457  acc: 0.6027  lr: 0.0000 
ep/it:1117- 188 niter:428000  2239m 42s (- 766m 37s) completed: 74%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0480  acc: 0.6037  lr: 0.0000 
ep/it:1117- 238 niter:428050  2239m 57s (- 766m 21s) completed: 74%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0498  acc: 0.6003  lr: 0.0000 
ep/it:1117- 288 niter:428100  2240m 11s (- 766m 5s) completed: 74%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0482  acc: 0.6049  lr: 0.0000 
ep/it:1117- 338 niter:428150  2240m 25s (- 765m 49s) completed: 74%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0479  acc: 0.5993  lr: 0.0000 
Validation loss:1.606, accuracy:0.562
ep/it:1118-   5 niter:428200  2240m 42s (- 765m 34s) completed: 74%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0493  acc: 0.5996  lr: 0.0000 
ep/it:1118-  55 niter:428250  2240m 56s (- 765m 17s) completed: 74%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0509  acc: 0.6025  lr: 0.0000 
ep/it:1118- 105 niter:428300  2241m 11s (- 765m 1s) completed: 74%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0485  acc: 0.6009  lr: 0.0000 
ep/it:1118- 155 niter:428350  2241m 25s (- 764m 45s) completed: 74%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0485  acc: 0.5998  lr: 0.0000 
ep/it:1118- 205 niter:428400  2241m 39s (- 764m 29s) completed: 74%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0473  acc: 0.5946  lr: 0.0000 
ep/it:1118- 255 niter:428450  2241m 53s (- 764m 13s) completed: 74%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0480  acc: 0.6017  lr: 0.0000 
ep/it:1118- 305 niter:428500  2242m 7s (- 763m 56s) completed: 74%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0495  acc: 0.5991  lr: 0.0000 
ep/it:1118- 355 niter:428550  2242m 22s (- 763m 40s) completed: 74%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0501  acc: 0.5993  lr: 0.0000 
Validation loss:1.571, accuracy:0.569
ep/it:1119-  22 niter:428600  2242m 38s (- 763m 25s) completed: 74%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0466  acc: 0.6024  lr: 0.0000 
ep/it:1119-  72 niter:428650  2242m 52s (- 763m 8s) completed: 74%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0476  acc: 0.6007  lr: 0.0000 
ep/it:1119- 122 niter:428700  2243m 6s (- 762m 52s) completed: 74%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0493  acc: 0.5935  lr: 0.0000 
ep/it:1119- 172 niter:428750  2243m 21s (- 762m 36s) completed: 74%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0483  acc: 0.5999  lr: 0.0000 
ep/it:1119- 222 niter:428800  2243m 35s (- 762m 20s) completed: 74%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0490  acc: 0.6017  lr: 0.0000 
ep/it:1119- 272 niter:428850  2243m 49s (- 762m 3s) completed: 74%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0481  acc: 0.6002  lr: 0.0000 
ep/it:1119- 322 niter:428900  2244m 3s (- 761m 47s) completed: 74%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0485  acc: 0.6023  lr: 0.0000 
ep/it:1119- 372 niter:428950  2244m 17s (- 761m 31s) completed: 74%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0479  acc: 0.6025  lr: 0.0000 
Validation loss:1.592, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.89it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.44s/it]
100%|██████████| 47/47 [01:17<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.27699032984674 avg: 38.27699032984674
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.58452993258834 avg: 38.43076013121754
--> 	 Eva. Repeat 0 :, FID. 0.0690, Diversity Real. 9.5283, Diversity. 9.5216, R_precision_real. [0.50195312 0.6875     0.77832031], R_precision. [0.51269531 0.67773438 0.78613281], matching_score_real. 3.0043, matching_score_pred. 2.9919, skate_ratio. 0.0504, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0576 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0109 (kps_fail_50cm (Loc. err)): 0.0009 (kps_mean_err(m) (Avg. err)): 0.0290 
ep/it:1120-  39 niter:429000  2245m 52s (- 761m 42s) completed: 74%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0479  acc: 0.6034  lr: 0.0000 
ep/it:1120-  89 niter:429050  2246m 6s (- 761m 26s) completed: 74%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0488  acc: 0.6020  lr: 0.0000 
ep/it:1120- 139 niter:429100  2246m 21s (- 761m 10s) completed: 74%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0486  acc: 0.5952  lr: 0.0000 
ep/it:1120- 189 niter:429150  2246m 35s (- 760m 54s) completed: 74%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0478  acc: 0.6022  lr: 0.0000 
ep/it:1120- 239 niter:429200  2246m 49s (- 760m 38s) completed: 74%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0481  acc: 0.5980  lr: 0.0000 
ep/it:1120- 289 niter:429250  2247m 4s (- 760m 21s) completed: 74%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0495  acc: 0.5942  lr: 0.0000 
ep/it:1120- 339 niter:429300  2247m 18s (- 760m 5s) completed: 74%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0478  acc: 0.6012  lr: 0.0000 
Validation loss:1.598, accuracy:0.563
ep/it:1121-   6 niter:429350  2247m 34s (- 759m 50s) completed: 74%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0480  acc: 0.6063  lr: 0.0000 
ep/it:1121-  56 niter:429400  2247m 49s (- 759m 34s) completed: 74%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0493  acc: 0.5967  lr: 0.0000 
ep/it:1121- 106 niter:429450  2248m 3s (- 759m 17s) completed: 74%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0476  acc: 0.6008  lr: 0.0000 
ep/it:1121- 156 niter:429500  2248m 16s (- 759m 1s) completed: 74%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0481  acc: 0.5980  lr: 0.0000 
ep/it:1121- 206 niter:429550  2248m 31s (- 758m 45s) completed: 74%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0483  acc: 0.6022  lr: 0.0000 
ep/it:1121- 256 niter:429600  2248m 45s (- 758m 28s) completed: 74%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0469  acc: 0.5933  lr: 0.0000 
ep/it:1121- 306 niter:429650  2248m 58s (- 758m 12s) completed: 74%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0487  acc: 0.5989  lr: 0.0000 
ep/it:1121- 356 niter:429700  2249m 13s (- 757m 56s) completed: 74%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0475  acc: 0.5991  lr: 0.0000 
Validation loss:1.595, accuracy:0.564
ep/it:1122-  23 niter:429750  2249m 30s (- 757m 41s) completed: 74%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0475  acc: 0.5995  lr: 0.0000 
ep/it:1122-  73 niter:429800  2249m 44s (- 757m 24s) completed: 74%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0480  acc: 0.5977  lr: 0.0000 
ep/it:1122- 123 niter:429850  2249m 58s (- 757m 8s) completed: 74%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0474  acc: 0.6000  lr: 0.0000 
ep/it:1122- 173 niter:429900  2250m 12s (- 756m 52s) completed: 74%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0474  acc: 0.5932  lr: 0.0000 
ep/it:1122- 223 niter:429950  2250m 26s (- 756m 36s) completed: 74%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0486  acc: 0.6012  lr: 0.0000 
ep/it:1122- 273 niter:430000  2250m 40s (- 756m 19s) completed: 74%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0460  acc: 0.5985  lr: 0.0000 
ep/it:1122- 323 niter:430050  2250m 55s (- 756m 3s) completed: 74%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0506  acc: 0.5956  lr: 0.0000 
ep/it:1122- 373 niter:430100  2251m 9s (- 755m 47s) completed: 74%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0471  acc: 0.5984  lr: 0.0000 
Validation loss:1.542, accuracy:0.578
ep/it:1123-  40 niter:430150  2251m 26s (- 755m 32s) completed: 74%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0490  acc: 0.5937  lr: 0.0000 
ep/it:1123-  90 niter:430200  2251m 40s (- 755m 16s) completed: 74%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0490  acc: 0.5937  lr: 0.0000 
ep/it:1123- 140 niter:430250  2251m 55s (- 755m 0s) completed: 74%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0470  acc: 0.5963  lr: 0.0000 
ep/it:1123- 190 niter:430300  2252m 10s (- 754m 44s) completed: 74%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0484  acc: 0.5958  lr: 0.0000 
ep/it:1123- 240 niter:430350  2252m 24s (- 754m 28s) completed: 74%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0486  acc: 0.6006  lr: 0.0000 
ep/it:1123- 290 niter:430400  2252m 39s (- 754m 11s) completed: 74%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0498  acc: 0.6009  lr: 0.0000 
ep/it:1123- 340 niter:430450  2252m 53s (- 753m 55s) completed: 74%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0481  acc: 0.5978  lr: 0.0000 
Validation loss:1.528, accuracy:0.583
ep/it:1124-   7 niter:430500  2253m 10s (- 753m 40s) completed: 74%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0512  acc: 0.5933  lr: 0.0000 
ep/it:1124-  57 niter:430550  2253m 24s (- 753m 24s) completed: 74%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0520  acc: 0.5895  lr: 0.0000 
ep/it:1124- 107 niter:430600  2253m 38s (- 753m 8s) completed: 74%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0491  acc: 0.5971  lr: 0.0000 
ep/it:1124- 157 niter:430650  2253m 52s (- 752m 51s) completed: 74%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0485  acc: 0.5941  lr: 0.0000 
ep/it:1124- 207 niter:430700  2254m 6s (- 752m 35s) completed: 74%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0492  acc: 0.5990  lr: 0.0000 
ep/it:1124- 257 niter:430750  2254m 20s (- 752m 19s) completed: 74%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0489  acc: 0.5926  lr: 0.0000 
ep/it:1124- 307 niter:430800  2254m 34s (- 752m 3s) completed: 74%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0486  acc: 0.6022  lr: 0.0000 
ep/it:1124- 357 niter:430850  2254m 48s (- 751m 46s) completed: 74%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0475  acc: 0.5937  lr: 0.0000 
Validation loss:1.603, accuracy:0.561
ep/it:1125-  24 niter:430900  2255m 5s (- 751m 31s) completed: 75%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0486  acc: 0.5944  lr: 0.0000 
ep/it:1125-  74 niter:430950  2255m 19s (- 751m 15s) completed: 75%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0474  acc: 0.6052  lr: 0.0000 
ep/it:1125- 124 niter:431000  2255m 33s (- 750m 58s) completed: 75%) loss_emb: 0.0000  loss: 1.3506  loss_TTT: 0.0475  acc: 0.6080  lr: 0.0000 
ep/it:1125- 174 niter:431050  2255m 48s (- 750m 42s) completed: 75%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0476  acc: 0.6000  lr: 0.0000 
ep/it:1125- 224 niter:431100  2256m 2s (- 750m 26s) completed: 75%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0467  acc: 0.6031  lr: 0.0000 
ep/it:1125- 274 niter:431150  2256m 16s (- 750m 10s) completed: 75%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0470  acc: 0.5991  lr: 0.0000 
ep/it:1125- 324 niter:431200  2256m 30s (- 749m 54s) completed: 75%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0477  acc: 0.6014  lr: 0.0000 
ep/it:1125- 374 niter:431250  2256m 44s (- 749m 37s) completed: 75%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0481  acc: 0.5897  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:1126-  41 niter:431300  2257m 1s (- 749m 22s) completed: 75%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0474  acc: 0.5997  lr: 0.0000 
ep/it:1126-  91 niter:431350  2257m 15s (- 749m 6s) completed: 75%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0484  acc: 0.6017  lr: 0.0000 
ep/it:1126- 141 niter:431400  2257m 29s (- 748m 49s) completed: 75%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0477  acc: 0.5924  lr: 0.0000 
ep/it:1126- 191 niter:431450  2257m 43s (- 748m 33s) completed: 75%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0461  acc: 0.5967  lr: 0.0000 
ep/it:1126- 241 niter:431500  2257m 57s (- 748m 17s) completed: 75%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0481  acc: 0.5915  lr: 0.0000 
ep/it:1126- 291 niter:431550  2258m 11s (- 748m 1s) completed: 75%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0487  acc: 0.5969  lr: 0.0000 
ep/it:1126- 341 niter:431600  2258m 26s (- 747m 45s) completed: 75%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0494  acc: 0.5921  lr: 0.0000 
Validation loss:1.608, accuracy:0.561
ep/it:1127-   8 niter:431650  2258m 42s (- 747m 29s) completed: 75%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0488  acc: 0.6076  lr: 0.0000 
ep/it:1127-  58 niter:431700  2258m 56s (- 747m 13s) completed: 75%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0479  acc: 0.6010  lr: 0.0000 
ep/it:1127- 108 niter:431750  2259m 11s (- 746m 57s) completed: 75%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0485  acc: 0.5968  lr: 0.0000 
ep/it:1127- 158 niter:431800  2259m 25s (- 746m 41s) completed: 75%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0476  acc: 0.5998  lr: 0.0000 
ep/it:1127- 208 niter:431850  2259m 39s (- 746m 24s) completed: 75%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0496  acc: 0.6004  lr: 0.0000 
ep/it:1127- 258 niter:431900  2259m 53s (- 746m 8s) completed: 75%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0499  acc: 0.5907  lr: 0.0000 
ep/it:1127- 308 niter:431950  2260m 7s (- 745m 52s) completed: 75%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0475  acc: 0.6015  lr: 0.0000 
ep/it:1127- 358 niter:432000  2260m 21s (- 745m 36s) completed: 75%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0495  acc: 0.5940  lr: 0.0000 
Validation loss:1.592, accuracy:0.566
ep/it:1128-  25 niter:432050  2260m 38s (- 745m 21s) completed: 75%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0483  acc: 0.5978  lr: 0.0000 
ep/it:1128-  75 niter:432100  2260m 52s (- 745m 4s) completed: 75%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0477  acc: 0.6044  lr: 0.0000 
ep/it:1128- 125 niter:432150  2261m 7s (- 744m 48s) completed: 75%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0501  acc: 0.5919  lr: 0.0000 
ep/it:1128- 175 niter:432200  2261m 21s (- 744m 32s) completed: 75%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0501  acc: 0.5924  lr: 0.0000 
ep/it:1128- 225 niter:432250  2261m 35s (- 744m 16s) completed: 75%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0490  acc: 0.5977  lr: 0.0000 
ep/it:1128- 275 niter:432300  2261m 49s (- 744m 0s) completed: 75%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0502  acc: 0.5953  lr: 0.0000 
ep/it:1128- 325 niter:432350  2262m 3s (- 743m 43s) completed: 75%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0492  acc: 0.6003  lr: 0.0000 
ep/it:1128- 375 niter:432400  2262m 17s (- 743m 27s) completed: 75%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0497  acc: 0.6026  lr: 0.0000 
Validation loss:1.596, accuracy:0.560
ep/it:1129-  42 niter:432450  2262m 34s (- 743m 12s) completed: 75%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0508  acc: 0.5940  lr: 0.0000 
ep/it:1129-  92 niter:432500  2262m 48s (- 742m 56s) completed: 75%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0504  acc: 0.5931  lr: 0.0000 
ep/it:1129- 142 niter:432550  2263m 3s (- 742m 40s) completed: 75%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0477  acc: 0.5999  lr: 0.0000 
ep/it:1129- 192 niter:432600  2263m 17s (- 742m 23s) completed: 75%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0496  acc: 0.6014  lr: 0.0000 
ep/it:1129- 242 niter:432650  2263m 31s (- 742m 7s) completed: 75%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0483  acc: 0.5923  lr: 0.0000 
ep/it:1129- 292 niter:432700  2263m 45s (- 741m 51s) completed: 75%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0498  acc: 0.5922  lr: 0.0000 
ep/it:1129- 342 niter:432750  2263m 59s (- 741m 35s) completed: 75%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0492  acc: 0.5933  lr: 0.0000 
Validation loss:1.547, accuracy:0.575

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ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.0575307328254 avg: 39.0575307328254
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.411115722730756 avg: 38.73432322777808
--> 	 Eva. Repeat 0 :, FID. 0.0959, Diversity Real. 9.7047, Diversity. 9.6061, R_precision_real. [0.50683594 0.70019531 0.79199219], R_precision. [0.48828125 0.67578125 0.78613281], matching_score_real. 2.9240, matching_score_pred. 2.9667, skate_ratio. 0.0504, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0518 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0141 (kps_fail_50cm (Loc. err)): 0.0013 (kps_mean_err(m) (Avg. err)): 0.0303 
ep/it:1130-   9 niter:432800  2265m 35s (- 741m 45s) completed: 75%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0485  acc: 0.5993  lr: 0.0000 
ep/it:1130-  59 niter:432850  2265m 49s (- 741m 29s) completed: 75%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0484  acc: 0.5976  lr: 0.0000 
ep/it:1130- 109 niter:432900  2266m 3s (- 741m 13s) completed: 75%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0467  acc: 0.6072  lr: 0.0000 
ep/it:1130- 159 niter:432950  2266m 17s (- 740m 56s) completed: 75%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0491  acc: 0.5869  lr: 0.0000 
ep/it:1130- 209 niter:433000  2266m 31s (- 740m 40s) completed: 75%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0485  acc: 0.5993  lr: 0.0000 
ep/it:1130- 259 niter:433050  2266m 46s (- 740m 24s) completed: 75%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0493  acc: 0.5983  lr: 0.0000 
ep/it:1130- 309 niter:433100  2267m 1s (- 740m 8s) completed: 75%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0453  acc: 0.6090  lr: 0.0000 
ep/it:1130- 359 niter:433150  2267m 15s (- 739m 52s) completed: 75%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0486  acc: 0.6071  lr: 0.0000 
Validation loss:1.615, accuracy:0.556
ep/it:1131-  26 niter:433200  2267m 32s (- 739m 37s) completed: 75%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0459  acc: 0.6030  lr: 0.0000 
ep/it:1131-  76 niter:433250  2267m 46s (- 739m 21s) completed: 75%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0475  acc: 0.6018  lr: 0.0000 
ep/it:1131- 126 niter:433300  2268m 1s (- 739m 4s) completed: 75%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0463  acc: 0.5961  lr: 0.0000 
ep/it:1131- 176 niter:433350  2268m 15s (- 738m 48s) completed: 75%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0448  acc: 0.5961  lr: 0.0000 
ep/it:1131- 226 niter:433400  2268m 29s (- 738m 32s) completed: 75%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0454  acc: 0.6011  lr: 0.0000 
ep/it:1131- 276 niter:433450  2268m 43s (- 738m 16s) completed: 75%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0471  acc: 0.6025  lr: 0.0000 
ep/it:1131- 326 niter:433500  2268m 57s (- 737m 59s) completed: 75%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0471  acc: 0.6049  lr: 0.0000 
ep/it:1131- 376 niter:433550  2269m 11s (- 737m 43s) completed: 75%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0481  acc: 0.6021  lr: 0.0000 
Validation loss:1.582, accuracy:0.568
ep/it:1132-  43 niter:433600  2269m 28s (- 737m 28s) completed: 75%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0463  acc: 0.6029  lr: 0.0000 
ep/it:1132-  93 niter:433650  2269m 42s (- 737m 12s) completed: 75%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0458  acc: 0.6012  lr: 0.0000 
ep/it:1132- 143 niter:433700  2269m 56s (- 736m 56s) completed: 75%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0472  acc: 0.6032  lr: 0.0000 
ep/it:1132- 193 niter:433750  2270m 10s (- 736m 39s) completed: 75%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0462  acc: 0.6007  lr: 0.0000 
ep/it:1132- 243 niter:433800  2270m 25s (- 736m 23s) completed: 75%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0464  acc: 0.6026  lr: 0.0000 
ep/it:1132- 293 niter:433850  2270m 39s (- 736m 7s) completed: 75%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0462  acc: 0.6035  lr: 0.0000 
ep/it:1132- 343 niter:433900  2270m 53s (- 735m 51s) completed: 75%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0487  acc: 0.5956  lr: 0.0000 
Validation loss:1.579, accuracy:0.567
ep/it:1133-  10 niter:433950  2271m 10s (- 735m 35s) completed: 75%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0467  acc: 0.6008  lr: 0.0000 
ep/it:1133-  60 niter:434000  2271m 24s (- 735m 19s) completed: 75%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0467  acc: 0.6011  lr: 0.0000 
ep/it:1133- 110 niter:434050  2271m 39s (- 735m 3s) completed: 75%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0452  acc: 0.6051  lr: 0.0000 
ep/it:1133- 160 niter:434100  2271m 53s (- 734m 47s) completed: 75%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0475  acc: 0.5972  lr: 0.0000 
ep/it:1133- 210 niter:434150  2272m 8s (- 734m 31s) completed: 75%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0445  acc: 0.6029  lr: 0.0000 
ep/it:1133- 260 niter:434200  2272m 22s (- 734m 15s) completed: 75%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0474  acc: 0.5906  lr: 0.0000 
ep/it:1133- 310 niter:434250  2272m 36s (- 733m 59s) completed: 75%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0465  acc: 0.5899  lr: 0.0000 
ep/it:1133- 360 niter:434300  2272m 50s (- 733m 42s) completed: 75%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0472  acc: 0.5940  lr: 0.0000 
Validation loss:1.560, accuracy:0.570
ep/it:1134-  27 niter:434350  2273m 8s (- 733m 27s) completed: 75%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0471  acc: 0.6055  lr: 0.0000 
ep/it:1134-  77 niter:434400  2273m 22s (- 733m 11s) completed: 75%) loss_emb: 0.0000  loss: 1.3434  loss_TTT: 0.0447  acc: 0.6095  lr: 0.0000 
ep/it:1134- 127 niter:434450  2273m 36s (- 732m 55s) completed: 75%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0470  acc: 0.6089  lr: 0.0000 
ep/it:1134- 177 niter:434500  2273m 51s (- 732m 39s) completed: 75%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0454  acc: 0.6002  lr: 0.0000 
ep/it:1134- 227 niter:434550  2274m 6s (- 732m 23s) completed: 75%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0458  acc: 0.6060  lr: 0.0000 
ep/it:1134- 277 niter:434600  2274m 21s (- 732m 7s) completed: 75%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0470  acc: 0.6011  lr: 0.0000 
ep/it:1134- 327 niter:434650  2274m 35s (- 731m 51s) completed: 75%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0464  acc: 0.6034  lr: 0.0000 
ep/it:1134- 377 niter:434700  2274m 49s (- 731m 35s) completed: 75%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0460  acc: 0.6019  lr: 0.0000 
Validation loss:1.544, accuracy:0.575
ep/it:1135-  44 niter:434750  2275m 7s (- 731m 20s) completed: 75%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0467  acc: 0.5920  lr: 0.0000 
ep/it:1135-  94 niter:434800  2275m 21s (- 731m 3s) completed: 75%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0454  acc: 0.6023  lr: 0.0000 
ep/it:1135- 144 niter:434850  2275m 34s (- 730m 47s) completed: 75%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0463  acc: 0.5991  lr: 0.0000 
ep/it:1135- 194 niter:434900  2275m 49s (- 730m 31s) completed: 75%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0452  acc: 0.6026  lr: 0.0000 
ep/it:1135- 244 niter:434950  2276m 3s (- 730m 15s) completed: 75%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0466  acc: 0.5973  lr: 0.0000 
ep/it:1135- 294 niter:435000  2276m 17s (- 729m 58s) completed: 75%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0453  acc: 0.6024  lr: 0.0000 
ep/it:1135- 344 niter:435050  2276m 31s (- 729m 42s) completed: 75%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0454  acc: 0.6012  lr: 0.0000 
Validation loss:1.576, accuracy:0.568
ep/it:1136-  11 niter:435100  2276m 48s (- 729m 27s) completed: 75%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0476  acc: 0.6026  lr: 0.0000 
ep/it:1136-  61 niter:435150  2277m 2s (- 729m 11s) completed: 75%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0480  acc: 0.5986  lr: 0.0000 
ep/it:1136- 111 niter:435200  2277m 17s (- 728m 55s) completed: 75%) loss_emb: 0.0000  loss: 1.3440  loss_TTT: 0.0450  acc: 0.6081  lr: 0.0000 
ep/it:1136- 161 niter:435250  2277m 31s (- 728m 39s) completed: 75%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0451  acc: 0.6031  lr: 0.0000 
ep/it:1136- 211 niter:435300  2277m 46s (- 728m 23s) completed: 75%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0458  acc: 0.5997  lr: 0.0000 
ep/it:1136- 261 niter:435350  2278m 0s (- 728m 6s) completed: 75%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0474  acc: 0.6021  lr: 0.0000 
ep/it:1136- 311 niter:435400  2278m 15s (- 727m 51s) completed: 75%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0457  acc: 0.5966  lr: 0.0000 
ep/it:1136- 361 niter:435450  2278m 30s (- 727m 34s) completed: 75%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0455  acc: 0.5991  lr: 0.0000 
Validation loss:1.565, accuracy:0.570
ep/it:1137-  28 niter:435500  2278m 46s (- 727m 19s) completed: 75%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0452  acc: 0.6002  lr: 0.0000 
ep/it:1137-  78 niter:435550  2279m 1s (- 727m 3s) completed: 75%) loss_emb: 0.0000  loss: 1.3440  loss_TTT: 0.0445  acc: 0.6093  lr: 0.0000 
ep/it:1137- 128 niter:435600  2279m 15s (- 726m 47s) completed: 75%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0470  acc: 0.5974  lr: 0.0000 
ep/it:1137- 178 niter:435650  2279m 29s (- 726m 31s) completed: 75%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0466  acc: 0.5970  lr: 0.0000 
ep/it:1137- 228 niter:435700  2279m 44s (- 726m 15s) completed: 75%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0462  acc: 0.6011  lr: 0.0000 
ep/it:1137- 278 niter:435750  2279m 59s (- 725m 59s) completed: 75%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0456  acc: 0.5982  lr: 0.0000 
ep/it:1137- 328 niter:435800  2280m 13s (- 725m 43s) completed: 75%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0468  acc: 0.6046  lr: 0.0000 
ep/it:1137- 378 niter:435850  2280m 28s (- 725m 27s) completed: 75%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0462  acc: 0.6049  lr: 0.0000 
Validation loss:1.571, accuracy:0.570
ep/it:1138-  45 niter:435900  2280m 45s (- 725m 11s) completed: 75%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0478  acc: 0.6039  lr: 0.0000 
ep/it:1138-  95 niter:435950  2280m 59s (- 724m 55s) completed: 75%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0452  acc: 0.6015  lr: 0.0000 
ep/it:1138- 145 niter:436000  2281m 13s (- 724m 39s) completed: 75%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0475  acc: 0.5974  lr: 0.0000 
ep/it:1138- 195 niter:436050  2281m 28s (- 724m 23s) completed: 75%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0481  acc: 0.6006  lr: 0.0000 
ep/it:1138- 245 niter:436100  2281m 42s (- 724m 7s) completed: 75%) loss_emb: 0.0000  loss: 1.3496  loss_TTT: 0.0461  acc: 0.6077  lr: 0.0000 
ep/it:1138- 295 niter:436150  2281m 56s (- 723m 51s) completed: 75%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0461  acc: 0.5946  lr: 0.0000 
ep/it:1138- 345 niter:436200  2282m 10s (- 723m 34s) completed: 75%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0449  acc: 0.6017  lr: 0.0000 
Validation loss:1.541, accuracy:0.575
ep/it:1139-  12 niter:436250  2282m 27s (- 723m 19s) completed: 75%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0457  acc: 0.6050  lr: 0.0000 
ep/it:1139-  62 niter:436300  2282m 41s (- 723m 3s) completed: 75%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0458  acc: 0.6014  lr: 0.0000 
ep/it:1139- 112 niter:436350  2282m 55s (- 722m 47s) completed: 75%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0472  acc: 0.6028  lr: 0.0000 
ep/it:1139- 162 niter:436400  2283m 9s (- 722m 30s) completed: 75%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0462  acc: 0.6041  lr: 0.0000 
ep/it:1139- 212 niter:436450  2283m 23s (- 722m 14s) completed: 75%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0465  acc: 0.5942  lr: 0.0000 
ep/it:1139- 262 niter:436500  2283m 38s (- 721m 58s) completed: 75%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0454  acc: 0.6008  lr: 0.0000 
ep/it:1139- 312 niter:436550  2283m 53s (- 721m 42s) completed: 75%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0460  acc: 0.5989  lr: 0.0000 
ep/it:1139- 362 niter:436600  2284m 7s (- 721m 26s) completed: 75%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0450  acc: 0.6050  lr: 0.0000 
Validation loss:1.577, accuracy:0.567

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100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.65723791345954 avg: 38.65723791345954
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.64162820391357 avg: 38.649433058686554
--> 	 Eva. Repeat 0 :, FID. 0.0982, Diversity Real. 9.6196, Diversity. 9.3068, R_precision_real. [0.51171875 0.70800781 0.80078125], R_precision. [0.52734375 0.71777344 0.80664062], matching_score_real. 2.9311, matching_score_pred. 2.9646, skate_ratio. 0.0484, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0508 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0136 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0282 
ep/it:1140-  29 niter:436650  2285m 42s (- 721m 35s) completed: 76%) loss_emb: 0.0000  loss: 1.3546  loss_TTT: 0.0444  acc: 0.6069  lr: 0.0000 
ep/it:1140-  79 niter:436700  2285m 57s (- 721m 19s) completed: 76%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0465  acc: 0.5990  lr: 0.0000 
ep/it:1140- 129 niter:436750  2286m 11s (- 721m 3s) completed: 76%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0467  acc: 0.5999  lr: 0.0000 
ep/it:1140- 179 niter:436800  2286m 26s (- 720m 47s) completed: 76%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0446  acc: 0.6020  lr: 0.0000 
ep/it:1140- 229 niter:436850  2286m 40s (- 720m 31s) completed: 76%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0469  acc: 0.6043  lr: 0.0000 
ep/it:1140- 279 niter:436900  2286m 55s (- 720m 15s) completed: 76%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0463  acc: 0.6047  lr: 0.0000 
ep/it:1140- 329 niter:436950  2287m 10s (- 719m 59s) completed: 76%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0462  acc: 0.6055  lr: 0.0000 
ep/it:1140- 379 niter:437000  2287m 25s (- 719m 43s) completed: 76%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0477  acc: 0.6034  lr: 0.0000 
Validation loss:1.620, accuracy:0.556
ep/it:1141-  46 niter:437050  2287m 42s (- 719m 28s) completed: 76%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0457  acc: 0.5958  lr: 0.0000 
ep/it:1141-  96 niter:437100  2287m 57s (- 719m 12s) completed: 76%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0464  acc: 0.5992  lr: 0.0000 
ep/it:1141- 146 niter:437150  2288m 11s (- 718m 56s) completed: 76%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0471  acc: 0.5958  lr: 0.0000 
ep/it:1141- 196 niter:437200  2288m 25s (- 718m 40s) completed: 76%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0455  acc: 0.6011  lr: 0.0000 
ep/it:1141- 246 niter:437250  2288m 39s (- 718m 23s) completed: 76%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0451  acc: 0.5997  lr: 0.0000 
ep/it:1141- 296 niter:437300  2288m 53s (- 718m 7s) completed: 76%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0457  acc: 0.6022  lr: 0.0000 
ep/it:1141- 346 niter:437350  2289m 7s (- 717m 51s) completed: 76%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0447  acc: 0.5966  lr: 0.0000 
Validation loss:1.567, accuracy:0.570
ep/it:1142-  13 niter:437400  2289m 24s (- 717m 35s) completed: 76%) loss_emb: 0.0000  loss: 1.3510  loss_TTT: 0.0459  acc: 0.6067  lr: 0.0000 
ep/it:1142-  63 niter:437450  2289m 38s (- 717m 19s) completed: 76%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0456  acc: 0.5981  lr: 0.0000 
ep/it:1142- 113 niter:437500  2289m 52s (- 717m 3s) completed: 76%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0451  acc: 0.6036  lr: 0.0000 
ep/it:1142- 163 niter:437550  2290m 7s (- 716m 47s) completed: 76%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0457  acc: 0.5968  lr: 0.0000 
ep/it:1142- 213 niter:437600  2290m 21s (- 716m 31s) completed: 76%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0456  acc: 0.5980  lr: 0.0000 
ep/it:1142- 263 niter:437650  2290m 35s (- 716m 15s) completed: 76%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0450  acc: 0.6007  lr: 0.0000 
ep/it:1142- 313 niter:437700  2290m 49s (- 715m 58s) completed: 76%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0455  acc: 0.5982  lr: 0.0000 
ep/it:1142- 363 niter:437750  2291m 3s (- 715m 42s) completed: 76%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0458  acc: 0.5934  lr: 0.0000 
Validation loss:1.575, accuracy:0.567
ep/it:1143-  30 niter:437800  2291m 20s (- 715m 27s) completed: 76%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0454  acc: 0.6024  lr: 0.0000 
ep/it:1143-  80 niter:437850  2291m 34s (- 715m 11s) completed: 76%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0463  acc: 0.5966  lr: 0.0000 
ep/it:1143- 130 niter:437900  2291m 48s (- 714m 54s) completed: 76%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0477  acc: 0.5995  lr: 0.0000 
ep/it:1143- 180 niter:437950  2292m 3s (- 714m 38s) completed: 76%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0459  acc: 0.6040  lr: 0.0000 
ep/it:1143- 230 niter:438000  2292m 17s (- 714m 22s) completed: 76%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0448  acc: 0.6041  lr: 0.0000 
ep/it:1143- 280 niter:438050  2292m 32s (- 714m 6s) completed: 76%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0463  acc: 0.5995  lr: 0.0000 
ep/it:1143- 330 niter:438100  2292m 46s (- 713m 50s) completed: 76%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0440  acc: 0.6023  lr: 0.0000 
ep/it:1143- 380 niter:438150  2293m 1s (- 713m 34s) completed: 76%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0450  acc: 0.6059  lr: 0.0000 
Validation loss:1.599, accuracy:0.560
ep/it:1144-  47 niter:438200  2293m 17s (- 713m 19s) completed: 76%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0456  acc: 0.6027  lr: 0.0000 
ep/it:1144-  97 niter:438250  2293m 31s (- 713m 2s) completed: 76%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0460  acc: 0.6036  lr: 0.0000 
ep/it:1144- 147 niter:438300  2293m 45s (- 712m 46s) completed: 76%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0493  acc: 0.5939  lr: 0.0000 
ep/it:1144- 197 niter:438350  2293m 59s (- 712m 30s) completed: 76%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0457  acc: 0.5994  lr: 0.0000 
ep/it:1144- 247 niter:438400  2294m 13s (- 712m 14s) completed: 76%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0446  acc: 0.6017  lr: 0.0000 
ep/it:1144- 297 niter:438450  2294m 28s (- 711m 58s) completed: 76%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0464  acc: 0.6028  lr: 0.0000 
ep/it:1144- 347 niter:438500  2294m 42s (- 711m 41s) completed: 76%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0454  acc: 0.5980  lr: 0.0000 
Validation loss:1.590, accuracy:0.563
ep/it:1145-  14 niter:438550  2294m 59s (- 711m 26s) completed: 76%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0456  acc: 0.6033  lr: 0.0000 
ep/it:1145-  64 niter:438600  2295m 13s (- 711m 10s) completed: 76%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0456  acc: 0.6017  lr: 0.0000 
ep/it:1145- 114 niter:438650  2295m 27s (- 710m 54s) completed: 76%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0457  acc: 0.6004  lr: 0.0000 
ep/it:1145- 164 niter:438700  2295m 42s (- 710m 38s) completed: 76%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0460  acc: 0.5969  lr: 0.0000 
ep/it:1145- 214 niter:438750  2295m 56s (- 710m 21s) completed: 76%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0462  acc: 0.6046  lr: 0.0000 
ep/it:1145- 264 niter:438800  2296m 10s (- 710m 5s) completed: 76%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0454  acc: 0.6039  lr: 0.0000 
ep/it:1145- 314 niter:438850  2296m 24s (- 709m 49s) completed: 76%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0455  acc: 0.5933  lr: 0.0000 
ep/it:1145- 364 niter:438900  2296m 38s (- 709m 33s) completed: 76%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0464  acc: 0.6009  lr: 0.0000 
Validation loss:1.606, accuracy:0.559
ep/it:1146-  31 niter:438950  2296m 54s (- 709m 17s) completed: 76%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0457  acc: 0.5954  lr: 0.0000 
ep/it:1146-  81 niter:439000  2297m 9s (- 709m 1s) completed: 76%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0455  acc: 0.5972  lr: 0.0000 
ep/it:1146- 131 niter:439050  2297m 24s (- 708m 45s) completed: 76%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0463  acc: 0.6030  lr: 0.0000 
ep/it:1146- 181 niter:439100  2297m 38s (- 708m 29s) completed: 76%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0434  acc: 0.5992  lr: 0.0000 
ep/it:1146- 231 niter:439150  2297m 52s (- 708m 13s) completed: 76%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0459  acc: 0.5980  lr: 0.0000 
ep/it:1146- 281 niter:439200  2298m 6s (- 707m 57s) completed: 76%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0455  acc: 0.6020  lr: 0.0000 
ep/it:1146- 331 niter:439250  2298m 20s (- 707m 41s) completed: 76%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0460  acc: 0.5949  lr: 0.0000 
ep/it:1146- 381 niter:439300  2298m 34s (- 707m 24s) completed: 76%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0451  acc: 0.6009  lr: 0.0000 
Validation loss:1.545, accuracy:0.576
ep/it:1147-  48 niter:439350  2298m 51s (- 707m 9s) completed: 76%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0458  acc: 0.6024  lr: 0.0000 
ep/it:1147-  98 niter:439400  2299m 5s (- 706m 53s) completed: 76%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0460  acc: 0.5956  lr: 0.0000 
ep/it:1147- 148 niter:439450  2299m 19s (- 706m 37s) completed: 76%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0456  acc: 0.6050  lr: 0.0000 
ep/it:1147- 198 niter:439500  2299m 33s (- 706m 21s) completed: 76%) loss_emb: 0.0000  loss: 1.3523  loss_TTT: 0.0454  acc: 0.6065  lr: 0.0000 
ep/it:1147- 248 niter:439550  2299m 48s (- 706m 4s) completed: 76%) loss_emb: 0.0000  loss: 1.3945  loss_TTT: 0.0472  acc: 0.5960  lr: 0.0000 
ep/it:1147- 298 niter:439600  2300m 2s (- 705m 48s) completed: 76%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0459  acc: 0.5952  lr: 0.0000 
ep/it:1147- 348 niter:439650  2300m 16s (- 705m 32s) completed: 76%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0441  acc: 0.6040  lr: 0.0000 
Validation loss:1.574, accuracy:0.569
ep/it:1148-  15 niter:439700  2300m 32s (- 705m 17s) completed: 76%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0455  acc: 0.6015  lr: 0.0000 
ep/it:1148-  65 niter:439750  2300m 46s (- 705m 0s) completed: 76%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0450  acc: 0.6016  lr: 0.0000 
ep/it:1148- 115 niter:439800  2301m 0s (- 704m 44s) completed: 76%) loss_emb: 0.0000  loss: 1.3395  loss_TTT: 0.0450  acc: 0.6093  lr: 0.0000 
ep/it:1148- 165 niter:439850  2301m 14s (- 704m 28s) completed: 76%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0449  acc: 0.5954  lr: 0.0000 
ep/it:1148- 215 niter:439900  2301m 28s (- 704m 12s) completed: 76%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0464  acc: 0.5971  lr: 0.0000 
ep/it:1148- 265 niter:439950  2301m 43s (- 703m 56s) completed: 76%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0444  acc: 0.5967  lr: 0.0000 
ep/it:1148- 315 niter:440000  2301m 57s (- 703m 40s) completed: 76%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0474  acc: 0.6043  lr: 0.0000 
ep/it:1148- 365 niter:440050  2302m 11s (- 703m 23s) completed: 76%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0471  acc: 0.6023  lr: 0.0000 
Validation loss:1.553, accuracy:0.575
ep/it:1149-  32 niter:440100  2302m 29s (- 703m 8s) completed: 76%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0456  acc: 0.5976  lr: 0.0000 
ep/it:1149-  82 niter:440150  2302m 43s (- 702m 52s) completed: 76%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0454  acc: 0.5992  lr: 0.0000 
ep/it:1149- 132 niter:440200  2302m 58s (- 702m 36s) completed: 76%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0448  acc: 0.5997  lr: 0.0000 
ep/it:1149- 182 niter:440250  2303m 12s (- 702m 20s) completed: 76%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0468  acc: 0.5965  lr: 0.0000 
ep/it:1149- 232 niter:440300  2303m 27s (- 702m 4s) completed: 76%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0446  acc: 0.6054  lr: 0.0000 
ep/it:1149- 282 niter:440350  2303m 41s (- 701m 48s) completed: 76%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0456  acc: 0.6018  lr: 0.0000 
ep/it:1149- 332 niter:440400  2303m 55s (- 701m 32s) completed: 76%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0465  acc: 0.6030  lr: 0.0000 
ep/it:1149- 382 niter:440450  2304m 10s (- 701m 16s) completed: 76%) loss_emb: 0.0000  loss: 1.3515  loss_TTT: 0.0450  acc: 0.6064  lr: 0.0000 
Validation loss:1.618, accuracy:0.555

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.65it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.63383066933602 avg: 38.63383066933602
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.61807704064995 avg: 38.625953854992986
--> 	 Eva. Repeat 0 :, FID. 0.1490, Diversity Real. 9.3394, Diversity. 9.5022, R_precision_real. [0.52441406 0.7109375  0.79589844], R_precision. [0.50195312 0.70117188 0.796875  ], matching_score_real. 2.9297, matching_score_pred. 2.9060, skate_ratio. 0.0440, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0547 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0100 (kps_fail_50cm (Loc. err)): 0.0007 (kps_mean_err(m) (Avg. err)): 0.0266 
ep/it:1150-  49 niter:440500  2305m 46s (- 701m 24s) completed: 76%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0458  acc: 0.5972  lr: 0.0000 
ep/it:1150-  99 niter:440550  2306m 0s (- 701m 8s) completed: 76%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0449  acc: 0.5987  lr: 0.0000 
ep/it:1150- 149 niter:440600  2306m 15s (- 700m 52s) completed: 76%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0455  acc: 0.5985  lr: 0.0000 
ep/it:1150- 199 niter:440650  2306m 29s (- 700m 36s) completed: 76%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0463  acc: 0.6064  lr: 0.0000 
ep/it:1150- 249 niter:440700  2306m 44s (- 700m 20s) completed: 76%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0448  acc: 0.5998  lr: 0.0000 
ep/it:1150- 299 niter:440750  2306m 58s (- 700m 4s) completed: 76%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0453  acc: 0.6038  lr: 0.0000 
ep/it:1150- 349 niter:440800  2307m 12s (- 699m 48s) completed: 76%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0441  acc: 0.5997  lr: 0.0000 
Validation loss:1.525, accuracy:0.580
ep/it:1151-  16 niter:440850  2307m 29s (- 699m 32s) completed: 76%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0459  acc: 0.5959  lr: 0.0000 
ep/it:1151-  66 niter:440900  2307m 43s (- 699m 16s) completed: 76%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0451  acc: 0.5990  lr: 0.0000 
ep/it:1151- 116 niter:440950  2307m 57s (- 699m 0s) completed: 76%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0456  acc: 0.6040  lr: 0.0000 
ep/it:1151- 166 niter:441000  2308m 11s (- 698m 44s) completed: 76%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0438  acc: 0.6044  lr: 0.0000 
ep/it:1151- 216 niter:441050  2308m 26s (- 698m 28s) completed: 76%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0446  acc: 0.6004  lr: 0.0000 
ep/it:1151- 266 niter:441100  2308m 40s (- 698m 12s) completed: 76%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0463  acc: 0.6031  lr: 0.0000 
ep/it:1151- 316 niter:441150  2308m 54s (- 697m 55s) completed: 76%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0460  acc: 0.6019  lr: 0.0000 
ep/it:1151- 366 niter:441200  2309m 8s (- 697m 39s) completed: 76%) loss_emb: 0.0000  loss: 1.3443  loss_TTT: 0.0449  acc: 0.6093  lr: 0.0000 
Validation loss:1.557, accuracy:0.573
ep/it:1152-  33 niter:441250  2309m 26s (- 697m 24s) completed: 76%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0452  acc: 0.5985  lr: 0.0000 
ep/it:1152-  83 niter:441300  2309m 40s (- 697m 8s) completed: 76%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0458  acc: 0.5967  lr: 0.0000 
ep/it:1152- 133 niter:441350  2309m 54s (- 696m 52s) completed: 76%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0459  acc: 0.6037  lr: 0.0000 
ep/it:1152- 183 niter:441400  2310m 9s (- 696m 36s) completed: 76%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0443  acc: 0.5984  lr: 0.0000 
ep/it:1152- 233 niter:441450  2310m 23s (- 696m 20s) completed: 76%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0454  acc: 0.5994  lr: 0.0000 
ep/it:1152- 283 niter:441500  2310m 38s (- 696m 4s) completed: 76%) loss_emb: 0.0000  loss: 1.3462  loss_TTT: 0.0445  acc: 0.6083  lr: 0.0000 
ep/it:1152- 333 niter:441550  2310m 53s (- 695m 48s) completed: 76%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0446  acc: 0.6037  lr: 0.0000 
Validation loss:1.565, accuracy:0.569
ep/it:1153-   0 niter:441600  2311m 10s (- 695m 33s) completed: 76%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0459  acc: 0.6045  lr: 0.0000 
ep/it:1153-  50 niter:441650  2311m 24s (- 695m 16s) completed: 76%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0457  acc: 0.6017  lr: 0.0000 
ep/it:1153- 100 niter:441700  2311m 38s (- 695m 0s) completed: 76%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0444  acc: 0.5967  lr: 0.0000 
ep/it:1153- 150 niter:441750  2311m 52s (- 694m 44s) completed: 76%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0433  acc: 0.6055  lr: 0.0000 
ep/it:1153- 200 niter:441800  2312m 6s (- 694m 28s) completed: 76%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0467  acc: 0.6043  lr: 0.0000 
ep/it:1153- 250 niter:441850  2312m 20s (- 694m 12s) completed: 76%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0458  acc: 0.5977  lr: 0.0000 
ep/it:1153- 300 niter:441900  2312m 34s (- 693m 55s) completed: 76%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0452  acc: 0.6076  lr: 0.0000 
ep/it:1153- 350 niter:441950  2312m 48s (- 693m 39s) completed: 76%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0465  acc: 0.5997  lr: 0.0000 
Validation loss:1.576, accuracy:0.567
ep/it:1154-  17 niter:442000  2313m 6s (- 693m 24s) completed: 76%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0439  acc: 0.6013  lr: 0.0000 
ep/it:1154-  67 niter:442050  2313m 20s (- 693m 8s) completed: 76%) loss_emb: 0.0000  loss: 1.3423  loss_TTT: 0.0450  acc: 0.6093  lr: 0.0000 
ep/it:1154- 117 niter:442100  2313m 34s (- 692m 52s) completed: 76%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0469  acc: 0.6024  lr: 0.0000 
ep/it:1154- 167 niter:442150  2313m 48s (- 692m 35s) completed: 76%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0443  acc: 0.6015  lr: 0.0000 
ep/it:1154- 217 niter:442200  2314m 2s (- 692m 19s) completed: 76%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0429  acc: 0.6058  lr: 0.0000 
ep/it:1154- 267 niter:442250  2314m 16s (- 692m 3s) completed: 76%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0448  acc: 0.6044  lr: 0.0000 
ep/it:1154- 317 niter:442300  2314m 31s (- 691m 47s) completed: 76%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0444  acc: 0.6032  lr: 0.0000 
ep/it:1154- 367 niter:442350  2314m 45s (- 691m 31s) completed: 76%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0472  acc: 0.6005  lr: 0.0000 
Validation loss:1.585, accuracy:0.564
ep/it:1155-  34 niter:442400  2315m 2s (- 691m 15s) completed: 77%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0450  acc: 0.5967  lr: 0.0000 
ep/it:1155-  84 niter:442450  2315m 16s (- 690m 59s) completed: 77%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0452  acc: 0.6034  lr: 0.0000 
ep/it:1155- 134 niter:442500  2315m 30s (- 690m 43s) completed: 77%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0444  acc: 0.6005  lr: 0.0000 
ep/it:1155- 184 niter:442550  2315m 44s (- 690m 27s) completed: 77%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0455  acc: 0.6029  lr: 0.0000 
ep/it:1155- 234 niter:442600  2315m 58s (- 690m 11s) completed: 77%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0459  acc: 0.6027  lr: 0.0000 
ep/it:1155- 284 niter:442650  2316m 12s (- 689m 55s) completed: 77%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0449  acc: 0.6010  lr: 0.0000 
ep/it:1155- 334 niter:442700  2316m 26s (- 689m 38s) completed: 77%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0455  acc: 0.5992  lr: 0.0000 
Validation loss:1.571, accuracy:0.568
ep/it:1156-   1 niter:442750  2316m 43s (- 689m 23s) completed: 77%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0460  acc: 0.6050  lr: 0.0000 
ep/it:1156-  51 niter:442800  2316m 57s (- 689m 7s) completed: 77%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0469  acc: 0.5980  lr: 0.0000 
ep/it:1156- 101 niter:442850  2317m 11s (- 688m 51s) completed: 77%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0462  acc: 0.6027  lr: 0.0000 
ep/it:1156- 151 niter:442900  2317m 25s (- 688m 34s) completed: 77%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0457  acc: 0.5973  lr: 0.0000 
ep/it:1156- 201 niter:442950  2317m 39s (- 688m 18s) completed: 77%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0451  acc: 0.5983  lr: 0.0000 
ep/it:1156- 251 niter:443000  2317m 53s (- 688m 2s) completed: 77%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0449  acc: 0.5949  lr: 0.0000 
ep/it:1156- 301 niter:443050  2318m 8s (- 687m 46s) completed: 77%) loss_emb: 0.0000  loss: 1.3521  loss_TTT: 0.0455  acc: 0.6070  lr: 0.0000 
ep/it:1156- 351 niter:443100  2318m 22s (- 687m 30s) completed: 77%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0444  acc: 0.6042  lr: 0.0000 
Validation loss:1.583, accuracy:0.564
ep/it:1157-  18 niter:443150  2318m 38s (- 687m 14s) completed: 77%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0471  acc: 0.6026  lr: 0.0000 
ep/it:1157-  68 niter:443200  2318m 53s (- 686m 58s) completed: 77%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0442  acc: 0.5976  lr: 0.0000 
ep/it:1157- 118 niter:443250  2319m 7s (- 686m 42s) completed: 77%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0476  acc: 0.6010  lr: 0.0000 
ep/it:1157- 168 niter:443300  2319m 21s (- 686m 26s) completed: 77%) loss_emb: 0.0000  loss: 1.3506  loss_TTT: 0.0440  acc: 0.6058  lr: 0.0000 
ep/it:1157- 218 niter:443350  2319m 36s (- 686m 10s) completed: 77%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0451  acc: 0.5994  lr: 0.0000 
ep/it:1157- 268 niter:443400  2319m 50s (- 685m 54s) completed: 77%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0448  acc: 0.5992  lr: 0.0000 
ep/it:1157- 318 niter:443450  2320m 5s (- 685m 38s) completed: 77%) loss_emb: 0.0000  loss: 1.3404  loss_TTT: 0.0446  acc: 0.6095  lr: 0.0000 
ep/it:1157- 368 niter:443500  2320m 19s (- 685m 22s) completed: 77%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0441  acc: 0.5961  lr: 0.0000 
Validation loss:1.564, accuracy:0.569
ep/it:1158-  35 niter:443550  2320m 36s (- 685m 7s) completed: 77%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0463  acc: 0.6032  lr: 0.0000 
ep/it:1158-  85 niter:443600  2320m 50s (- 684m 50s) completed: 77%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0445  acc: 0.6003  lr: 0.0000 
ep/it:1158- 135 niter:443650  2321m 4s (- 684m 34s) completed: 77%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0460  acc: 0.6010  lr: 0.0000 
ep/it:1158- 185 niter:443700  2321m 18s (- 684m 18s) completed: 77%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0452  acc: 0.6001  lr: 0.0000 
ep/it:1158- 235 niter:443750  2321m 33s (- 684m 2s) completed: 77%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0472  acc: 0.6010  lr: 0.0000 
ep/it:1158- 285 niter:443800  2321m 47s (- 683m 46s) completed: 77%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0456  acc: 0.6029  lr: 0.0000 
ep/it:1158- 335 niter:443850  2322m 1s (- 683m 30s) completed: 77%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0452  acc: 0.6005  lr: 0.0000 
Validation loss:1.618, accuracy:0.557
ep/it:1159-   2 niter:443900  2322m 18s (- 683m 14s) completed: 77%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0460  acc: 0.5973  lr: 0.0000 
ep/it:1159-  52 niter:443950  2322m 32s (- 682m 58s) completed: 77%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0450  acc: 0.6054  lr: 0.0000 
ep/it:1159- 102 niter:444000  2322m 46s (- 682m 42s) completed: 77%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0460  acc: 0.5980  lr: 0.0000 
ep/it:1159- 152 niter:444050  2323m 1s (- 682m 26s) completed: 77%) loss_emb: 0.0000  loss: 1.3523  loss_TTT: 0.0444  acc: 0.6064  lr: 0.0000 
ep/it:1159- 202 niter:444100  2323m 15s (- 682m 10s) completed: 77%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0460  acc: 0.6052  lr: 0.0000 
ep/it:1159- 252 niter:444150  2323m 29s (- 681m 54s) completed: 77%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0439  acc: 0.5997  lr: 0.0000 
ep/it:1159- 302 niter:444200  2323m 43s (- 681m 37s) completed: 77%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0454  acc: 0.6045  lr: 0.0000 
ep/it:1159- 352 niter:444250  2323m 57s (- 681m 21s) completed: 77%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0459  acc: 0.5999  lr: 0.0000 
Validation loss:1.548, accuracy:0.572

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.81it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.797259479761124 avg: 38.797259479761124
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.67457283940166 avg: 38.73591615958139
--> 	 Eva. Repeat 0 :, FID. 0.0739, Diversity Real. 9.5634, Diversity. 9.5123, R_precision_real. [0.49902344 0.70117188 0.78027344], R_precision. [0.50097656 0.69824219 0.79785156], matching_score_real. 2.9879, matching_score_pred. 2.9553, skate_ratio. 0.0484, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0498 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0111 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0274 
ep/it:1160-  19 niter:444300  2325m 33s (- 681m 29s) completed: 77%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0449  acc: 0.6045  lr: 0.0000 
ep/it:1160-  69 niter:444350  2325m 47s (- 681m 13s) completed: 77%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0460  acc: 0.6018  lr: 0.0000 
ep/it:1160- 119 niter:444400  2326m 2s (- 680m 57s) completed: 77%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0453  acc: 0.5970  lr: 0.0000 
ep/it:1160- 169 niter:444450  2326m 16s (- 680m 41s) completed: 77%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0465  acc: 0.6004  lr: 0.0000 
ep/it:1160- 219 niter:444500  2326m 30s (- 680m 25s) completed: 77%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0447  acc: 0.5953  lr: 0.0000 
ep/it:1160- 269 niter:444550  2326m 44s (- 680m 9s) completed: 77%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0448  acc: 0.6008  lr: 0.0000 
ep/it:1160- 319 niter:444600  2326m 59s (- 679m 52s) completed: 77%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0433  acc: 0.6029  lr: 0.0000 
ep/it:1160- 369 niter:444650  2327m 13s (- 679m 36s) completed: 77%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0466  acc: 0.5998  lr: 0.0000 
Validation loss:1.597, accuracy:0.562
ep/it:1161-  36 niter:444700  2327m 29s (- 679m 21s) completed: 77%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0446  acc: 0.6020  lr: 0.0000 
ep/it:1161-  86 niter:444750  2327m 43s (- 679m 5s) completed: 77%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0433  acc: 0.5968  lr: 0.0000 
ep/it:1161- 136 niter:444800  2327m 57s (- 678m 48s) completed: 77%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0451  acc: 0.6015  lr: 0.0000 
ep/it:1161- 186 niter:444850  2328m 12s (- 678m 32s) completed: 77%) loss_emb: 0.0000  loss: 1.3475  loss_TTT: 0.0462  acc: 0.6070  lr: 0.0000 
ep/it:1161- 236 niter:444900  2328m 26s (- 678m 16s) completed: 77%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0449  acc: 0.5935  lr: 0.0000 
ep/it:1161- 286 niter:444950  2328m 40s (- 678m 0s) completed: 77%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0461  acc: 0.6025  lr: 0.0000 
ep/it:1161- 336 niter:445000  2328m 54s (- 677m 44s) completed: 77%) loss_emb: 0.0000  loss: 1.3486  loss_TTT: 0.0452  acc: 0.6074  lr: 0.0000 
Validation loss:1.570, accuracy:0.569
ep/it:1162-   3 niter:445050  2329m 11s (- 677m 29s) completed: 77%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0473  acc: 0.5944  lr: 0.0000 
ep/it:1162-  53 niter:445100  2329m 26s (- 677m 13s) completed: 77%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0444  acc: 0.6011  lr: 0.0000 
ep/it:1162- 103 niter:445150  2329m 40s (- 676m 56s) completed: 77%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0454  acc: 0.6017  lr: 0.0000 
ep/it:1162- 153 niter:445200  2329m 54s (- 676m 40s) completed: 77%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0460  acc: 0.5987  lr: 0.0000 
ep/it:1162- 203 niter:445250  2330m 9s (- 676m 24s) completed: 77%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0465  acc: 0.5981  lr: 0.0000 
ep/it:1162- 253 niter:445300  2330m 23s (- 676m 8s) completed: 77%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0449  acc: 0.6068  lr: 0.0000 
ep/it:1162- 303 niter:445350  2330m 38s (- 675m 52s) completed: 77%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0463  acc: 0.5936  lr: 0.0000 
ep/it:1162- 353 niter:445400  2330m 52s (- 675m 36s) completed: 77%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0446  acc: 0.6046  lr: 0.0000 
Validation loss:1.587, accuracy:0.564
ep/it:1163-  20 niter:445450  2331m 9s (- 675m 21s) completed: 77%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0457  acc: 0.6024  lr: 0.0000 
ep/it:1163-  70 niter:445500  2331m 24s (- 675m 5s) completed: 77%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0449  acc: 0.6046  lr: 0.0000 
ep/it:1163- 120 niter:445550  2331m 38s (- 674m 49s) completed: 77%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0448  acc: 0.5991  lr: 0.0000 
ep/it:1163- 170 niter:445600  2331m 53s (- 674m 33s) completed: 77%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0441  acc: 0.6022  lr: 0.0000 
ep/it:1163- 220 niter:445650  2332m 7s (- 674m 17s) completed: 77%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0467  acc: 0.5963  lr: 0.0000 
ep/it:1163- 270 niter:445700  2332m 22s (- 674m 1s) completed: 77%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0436  acc: 0.6050  lr: 0.0000 
ep/it:1163- 320 niter:445750  2332m 36s (- 673m 44s) completed: 77%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0459  acc: 0.6009  lr: 0.0000 
ep/it:1163- 370 niter:445800  2332m 51s (- 673m 28s) completed: 77%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0455  acc: 0.5972  lr: 0.0000 
Validation loss:1.567, accuracy:0.568
ep/it:1164-  37 niter:445850  2333m 7s (- 673m 13s) completed: 77%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0448  acc: 0.6020  lr: 0.0000 
ep/it:1164-  87 niter:445900  2333m 21s (- 672m 57s) completed: 77%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0447  acc: 0.6003  lr: 0.0000 
ep/it:1164- 137 niter:445950  2333m 35s (- 672m 41s) completed: 77%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0481  acc: 0.5996  lr: 0.0000 
ep/it:1164- 187 niter:446000  2333m 50s (- 672m 25s) completed: 77%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0464  acc: 0.6054  lr: 0.0000 
ep/it:1164- 237 niter:446050  2334m 4s (- 672m 8s) completed: 77%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0440  acc: 0.6002  lr: 0.0000 
ep/it:1164- 287 niter:446100  2334m 18s (- 671m 52s) completed: 77%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0439  acc: 0.5971  lr: 0.0000 
ep/it:1164- 337 niter:446150  2334m 32s (- 671m 36s) completed: 77%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0456  acc: 0.6064  lr: 0.0000 
Validation loss:1.550, accuracy:0.574
ep/it:1165-   4 niter:446200  2334m 49s (- 671m 21s) completed: 77%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0456  acc: 0.5980  lr: 0.0000 
ep/it:1165-  54 niter:446250  2335m 3s (- 671m 5s) completed: 77%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0450  acc: 0.6021  lr: 0.0000 
ep/it:1165- 104 niter:446300  2335m 17s (- 670m 48s) completed: 77%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0461  acc: 0.6088  lr: 0.0000 
ep/it:1165- 154 niter:446350  2335m 31s (- 670m 32s) completed: 77%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0449  acc: 0.6011  lr: 0.0000 
ep/it:1165- 204 niter:446400  2335m 45s (- 670m 16s) completed: 77%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0463  acc: 0.5902  lr: 0.0000 
ep/it:1165- 254 niter:446450  2335m 59s (- 670m 0s) completed: 77%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0451  acc: 0.5967  lr: 0.0000 
ep/it:1165- 304 niter:446500  2336m 13s (- 669m 44s) completed: 77%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0453  acc: 0.5968  lr: 0.0000 
ep/it:1165- 354 niter:446550  2336m 28s (- 669m 28s) completed: 77%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0453  acc: 0.6018  lr: 0.0000 
Validation loss:1.599, accuracy:0.563
ep/it:1166-  21 niter:446600  2336m 45s (- 669m 12s) completed: 77%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0465  acc: 0.6035  lr: 0.0000 
ep/it:1166-  71 niter:446650  2336m 59s (- 668m 56s) completed: 77%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0440  acc: 0.6044  lr: 0.0000 
ep/it:1166- 121 niter:446700  2337m 13s (- 668m 40s) completed: 77%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0448  acc: 0.5994  lr: 0.0000 
ep/it:1166- 171 niter:446750  2337m 27s (- 668m 24s) completed: 77%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0437  acc: 0.5942  lr: 0.0000 
ep/it:1166- 221 niter:446800  2337m 41s (- 668m 8s) completed: 77%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0452  acc: 0.5998  lr: 0.0000 
ep/it:1166- 271 niter:446850  2337m 55s (- 667m 51s) completed: 77%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0456  acc: 0.6026  lr: 0.0000 
ep/it:1166- 321 niter:446900  2338m 9s (- 667m 35s) completed: 77%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0464  acc: 0.5983  lr: 0.0000 
ep/it:1166- 371 niter:446950  2338m 23s (- 667m 19s) completed: 77%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0474  acc: 0.5959  lr: 0.0000 
Validation loss:1.546, accuracy:0.575
ep/it:1167-  38 niter:447000  2338m 41s (- 667m 4s) completed: 77%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0444  acc: 0.6045  lr: 0.0000 
ep/it:1167-  88 niter:447050  2338m 55s (- 666m 48s) completed: 77%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0443  acc: 0.5985  lr: 0.0000 
ep/it:1167- 138 niter:447100  2339m 10s (- 666m 32s) completed: 77%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0452  acc: 0.5952  lr: 0.0000 
ep/it:1167- 188 niter:447150  2339m 24s (- 666m 16s) completed: 77%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0435  acc: 0.6008  lr: 0.0000 
ep/it:1167- 238 niter:447200  2339m 38s (- 666m 0s) completed: 77%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0471  acc: 0.5957  lr: 0.0000 
ep/it:1167- 288 niter:447250  2339m 53s (- 665m 44s) completed: 77%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0453  acc: 0.6046  lr: 0.0000 
ep/it:1167- 338 niter:447300  2340m 7s (- 665m 27s) completed: 77%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0438  acc: 0.6018  lr: 0.0000 
Validation loss:1.638, accuracy:0.552
ep/it:1168-   5 niter:447350  2340m 24s (- 665m 12s) completed: 77%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0447  acc: 0.6059  lr: 0.0000 
ep/it:1168-  55 niter:447400  2340m 38s (- 664m 56s) completed: 77%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0443  acc: 0.6046  lr: 0.0000 
ep/it:1168- 105 niter:447450  2340m 53s (- 664m 40s) completed: 77%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0457  acc: 0.6017  lr: 0.0000 
ep/it:1168- 155 niter:447500  2341m 6s (- 664m 24s) completed: 77%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0458  acc: 0.5980  lr: 0.0000 
ep/it:1168- 205 niter:447550  2341m 21s (- 664m 8s) completed: 77%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0451  acc: 0.5982  lr: 0.0000 
ep/it:1168- 255 niter:447600  2341m 35s (- 663m 52s) completed: 77%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0447  acc: 0.6000  lr: 0.0000 
ep/it:1168- 305 niter:447650  2341m 49s (- 663m 36s) completed: 77%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0460  acc: 0.6058  lr: 0.0000 
ep/it:1168- 355 niter:447700  2342m 3s (- 663m 19s) completed: 77%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0463  acc: 0.6007  lr: 0.0000 
Validation loss:1.600, accuracy:0.561
ep/it:1169-  22 niter:447750  2342m 20s (- 663m 4s) completed: 77%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0450  acc: 0.6028  lr: 0.0000 
ep/it:1169-  72 niter:447800  2342m 34s (- 662m 48s) completed: 77%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0456  acc: 0.5994  lr: 0.0000 
ep/it:1169- 122 niter:447850  2342m 49s (- 662m 32s) completed: 77%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0450  acc: 0.5988  lr: 0.0000 
ep/it:1169- 172 niter:447900  2343m 3s (- 662m 16s) completed: 77%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0456  acc: 0.6012  lr: 0.0000 
ep/it:1169- 222 niter:447950  2343m 17s (- 662m 0s) completed: 77%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0457  acc: 0.5995  lr: 0.0000 
ep/it:1169- 272 niter:448000  2343m 31s (- 661m 43s) completed: 77%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0449  acc: 0.6036  lr: 0.0000 
ep/it:1169- 322 niter:448050  2343m 46s (- 661m 27s) completed: 77%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0464  acc: 0.6041  lr: 0.0000 
ep/it:1169- 372 niter:448100  2343m 59s (- 661m 11s) completed: 77%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0444  acc: 0.6014  lr: 0.0000 
Validation loss:1.556, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.87it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.50570441316813 avg: 38.50570441316813
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.15062173921615 avg: 38.82816307619214
--> 	 Eva. Repeat 0 :, FID. 0.0815, Diversity Real. 9.9496, Diversity. 9.4539, R_precision_real. [0.52148438 0.70996094 0.80273438], R_precision. [0.54101562 0.72167969 0.81542969], matching_score_real. 2.8336, matching_score_pred. 2.8694, skate_ratio. 0.0482, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0498 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0080 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0266 
ep/it:1170-  39 niter:448150  2345m 36s (- 661m 18s) completed: 78%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0447  acc: 0.6038  lr: 0.0000 
ep/it:1170-  89 niter:448200  2345m 50s (- 661m 2s) completed: 78%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0440  acc: 0.5981  lr: 0.0000 
ep/it:1170- 139 niter:448250  2346m 5s (- 660m 46s) completed: 78%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0461  acc: 0.5983  lr: 0.0000 
ep/it:1170- 189 niter:448300  2346m 19s (- 660m 30s) completed: 78%) loss_emb: 0.0000  loss: 1.3386  loss_TTT: 0.0448  acc: 0.6104  lr: 0.0000 
ep/it:1170- 239 niter:448350  2346m 34s (- 660m 14s) completed: 78%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0457  acc: 0.5986  lr: 0.0000 
ep/it:1170- 289 niter:448400  2346m 49s (- 659m 58s) completed: 78%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0472  acc: 0.5969  lr: 0.0000 
ep/it:1170- 339 niter:448450  2347m 3s (- 659m 42s) completed: 78%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0441  acc: 0.5988  lr: 0.0000 
Validation loss:1.524, accuracy:0.579
ep/it:1171-   6 niter:448500  2347m 20s (- 659m 27s) completed: 78%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0440  acc: 0.6050  lr: 0.0000 
ep/it:1171-  56 niter:448550  2347m 35s (- 659m 11s) completed: 78%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0445  acc: 0.6058  lr: 0.0000 
ep/it:1171- 106 niter:448600  2347m 49s (- 658m 55s) completed: 78%) loss_emb: 0.0000  loss: 1.3542  loss_TTT: 0.0458  acc: 0.6057  lr: 0.0000 
ep/it:1171- 156 niter:448650  2348m 3s (- 658m 39s) completed: 78%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0441  acc: 0.6022  lr: 0.0000 
ep/it:1171- 206 niter:448700  2348m 17s (- 658m 22s) completed: 78%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0448  acc: 0.5993  lr: 0.0000 
ep/it:1171- 256 niter:448750  2348m 31s (- 658m 6s) completed: 78%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0443  acc: 0.6029  lr: 0.0000 
ep/it:1171- 306 niter:448800  2348m 46s (- 657m 50s) completed: 78%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0441  acc: 0.6032  lr: 0.0000 
ep/it:1171- 356 niter:448850  2349m 0s (- 657m 34s) completed: 78%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0461  acc: 0.6034  lr: 0.0000 
Validation loss:1.541, accuracy:0.576
ep/it:1172-  23 niter:448900  2349m 17s (- 657m 19s) completed: 78%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0448  acc: 0.5985  lr: 0.0000 
ep/it:1172-  73 niter:448950  2349m 31s (- 657m 3s) completed: 78%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0442  acc: 0.6018  lr: 0.0000 
ep/it:1172- 123 niter:449000  2349m 45s (- 656m 46s) completed: 78%) loss_emb: 0.0000  loss: 1.3367  loss_TTT: 0.0436  acc: 0.6107  lr: 0.0000 
ep/it:1172- 173 niter:449050  2350m 0s (- 656m 30s) completed: 78%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0447  acc: 0.6036  lr: 0.0000 
ep/it:1172- 223 niter:449100  2350m 14s (- 656m 14s) completed: 78%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0463  acc: 0.6007  lr: 0.0000 
ep/it:1172- 273 niter:449150  2350m 29s (- 655m 58s) completed: 78%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0453  acc: 0.6040  lr: 0.0000 
ep/it:1172- 323 niter:449200  2350m 42s (- 655m 42s) completed: 78%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0458  acc: 0.5994  lr: 0.0000 
ep/it:1172- 373 niter:449250  2350m 56s (- 655m 26s) completed: 78%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0458  acc: 0.5958  lr: 0.0000 
Validation loss:1.590, accuracy:0.562
ep/it:1173-  40 niter:449300  2351m 13s (- 655m 10s) completed: 78%) loss_emb: 0.0000  loss: 1.3595  loss_TTT: 0.0449  acc: 0.6058  lr: 0.0000 
ep/it:1173-  90 niter:449350  2351m 27s (- 654m 54s) completed: 78%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0446  acc: 0.6023  lr: 0.0000 
ep/it:1173- 140 niter:449400  2351m 41s (- 654m 38s) completed: 78%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0437  acc: 0.6012  lr: 0.0000 
ep/it:1173- 190 niter:449450  2351m 55s (- 654m 22s) completed: 78%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0445  acc: 0.6085  lr: 0.0000 
ep/it:1173- 240 niter:449500  2352m 9s (- 654m 6s) completed: 78%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0450  acc: 0.5992  lr: 0.0000 
ep/it:1173- 290 niter:449550  2352m 23s (- 653m 50s) completed: 78%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0456  acc: 0.6068  lr: 0.0000 
ep/it:1173- 340 niter:449600  2352m 37s (- 653m 34s) completed: 78%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0455  acc: 0.5978  lr: 0.0000 
Validation loss:1.538, accuracy:0.576
ep/it:1174-   7 niter:449650  2352m 54s (- 653m 18s) completed: 78%) loss_emb: 0.0000  loss: 1.3386  loss_TTT: 0.0443  acc: 0.6109  lr: 0.0000 
ep/it:1174-  57 niter:449700  2353m 9s (- 653m 2s) completed: 78%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0442  acc: 0.6062  lr: 0.0000 
ep/it:1174- 107 niter:449750  2353m 24s (- 652m 46s) completed: 78%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0451  acc: 0.6025  lr: 0.0000 
ep/it:1174- 157 niter:449800  2353m 38s (- 652m 30s) completed: 78%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0461  acc: 0.5999  lr: 0.0000 
ep/it:1174- 207 niter:449850  2353m 52s (- 652m 14s) completed: 78%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0459  acc: 0.6026  lr: 0.0000 
ep/it:1174- 257 niter:449900  2354m 6s (- 651m 58s) completed: 78%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0450  acc: 0.5979  lr: 0.0000 
ep/it:1174- 307 niter:449950  2354m 21s (- 651m 42s) completed: 78%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0443  acc: 0.6030  lr: 0.0000 
ep/it:1174- 357 niter:450000  2354m 36s (- 651m 26s) completed: 78%) loss_emb: 0.0000  loss: 1.3451  loss_TTT: 0.0438  acc: 0.6082  lr: 0.0000 
Validation loss:1.601, accuracy:0.561
ep/it:1175-  24 niter:450050  2354m 53s (- 651m 11s) completed: 78%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0455  acc: 0.6036  lr: 0.0000 
ep/it:1175-  74 niter:450100  2355m 8s (- 650m 55s) completed: 78%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0449  acc: 0.5947  lr: 0.0000 
ep/it:1175- 124 niter:450150  2355m 22s (- 650m 39s) completed: 78%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0460  acc: 0.5934  lr: 0.0000 
ep/it:1175- 174 niter:450200  2355m 37s (- 650m 23s) completed: 78%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0453  acc: 0.6058  lr: 0.0000 
ep/it:1175- 224 niter:450250  2355m 52s (- 650m 7s) completed: 78%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0470  acc: 0.6051  lr: 0.0000 
ep/it:1175- 274 niter:450300  2356m 6s (- 649m 51s) completed: 78%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0448  acc: 0.6029  lr: 0.0000 
ep/it:1175- 324 niter:450350  2356m 21s (- 649m 35s) completed: 78%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0452  acc: 0.5974  lr: 0.0000 
ep/it:1175- 374 niter:450400  2356m 35s (- 649m 19s) completed: 78%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0452  acc: 0.5984  lr: 0.0000 
Validation loss:1.632, accuracy:0.552
ep/it:1176-  41 niter:450450  2356m 52s (- 649m 3s) completed: 78%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0455  acc: 0.6020  lr: 0.0000 
ep/it:1176-  91 niter:450500  2357m 6s (- 648m 47s) completed: 78%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0455  acc: 0.5976  lr: 0.0000 
ep/it:1176- 141 niter:450550  2357m 21s (- 648m 31s) completed: 78%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0469  acc: 0.5985  lr: 0.0000 
ep/it:1176- 191 niter:450600  2357m 35s (- 648m 15s) completed: 78%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0447  acc: 0.5996  lr: 0.0000 
ep/it:1176- 241 niter:450650  2357m 50s (- 647m 59s) completed: 78%) loss_emb: 0.0000  loss: 1.3514  loss_TTT: 0.0448  acc: 0.6056  lr: 0.0000 
ep/it:1176- 291 niter:450700  2358m 4s (- 647m 43s) completed: 78%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0464  acc: 0.6039  lr: 0.0000 
ep/it:1176- 341 niter:450750  2358m 19s (- 647m 27s) completed: 78%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0447  acc: 0.5986  lr: 0.0000 
Validation loss:1.582, accuracy:0.567
ep/it:1177-   8 niter:450800  2358m 35s (- 647m 12s) completed: 78%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0439  acc: 0.6029  lr: 0.0000 
ep/it:1177-  58 niter:450850  2358m 50s (- 646m 55s) completed: 78%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0437  acc: 0.5993  lr: 0.0000 
ep/it:1177- 108 niter:450900  2359m 4s (- 646m 39s) completed: 78%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0447  acc: 0.6024  lr: 0.0000 
ep/it:1177- 158 niter:450950  2359m 18s (- 646m 23s) completed: 78%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0467  acc: 0.5994  lr: 0.0000 
ep/it:1177- 208 niter:451000  2359m 32s (- 646m 7s) completed: 78%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0459  acc: 0.6017  lr: 0.0000 
ep/it:1177- 258 niter:451050  2359m 47s (- 645m 51s) completed: 78%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0451  acc: 0.6041  lr: 0.0000 
ep/it:1177- 308 niter:451100  2360m 0s (- 645m 35s) completed: 78%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0461  acc: 0.6052  lr: 0.0000 
ep/it:1177- 358 niter:451150  2360m 15s (- 645m 19s) completed: 78%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0461  acc: 0.5966  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:1178-  25 niter:451200  2360m 31s (- 645m 3s) completed: 78%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0455  acc: 0.6016  lr: 0.0000 
ep/it:1178-  75 niter:451250  2360m 46s (- 644m 47s) completed: 78%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0472  acc: 0.5968  lr: 0.0000 
ep/it:1178- 125 niter:451300  2361m 0s (- 644m 31s) completed: 78%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0445  acc: 0.6022  lr: 0.0000 
ep/it:1178- 175 niter:451350  2361m 14s (- 644m 15s) completed: 78%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0457  acc: 0.6056  lr: 0.0000 
ep/it:1178- 225 niter:451400  2361m 29s (- 643m 59s) completed: 78%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0435  acc: 0.6027  lr: 0.0000 
ep/it:1178- 275 niter:451450  2361m 43s (- 643m 43s) completed: 78%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0454  acc: 0.6032  lr: 0.0000 
ep/it:1178- 325 niter:451500  2361m 57s (- 643m 27s) completed: 78%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0439  acc: 0.6003  lr: 0.0000 
ep/it:1178- 375 niter:451550  2362m 12s (- 643m 11s) completed: 78%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0455  acc: 0.6002  lr: 0.0000 
Validation loss:1.577, accuracy:0.567
ep/it:1179-  42 niter:451600  2362m 29s (- 642m 56s) completed: 78%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0455  acc: 0.5963  lr: 0.0000 
ep/it:1179-  92 niter:451650  2362m 43s (- 642m 40s) completed: 78%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0449  acc: 0.6048  lr: 0.0000 
ep/it:1179- 142 niter:451700  2362m 57s (- 642m 23s) completed: 78%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0456  acc: 0.6011  lr: 0.0000 
ep/it:1179- 192 niter:451750  2363m 11s (- 642m 7s) completed: 78%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0448  acc: 0.6058  lr: 0.0000 
ep/it:1179- 242 niter:451800  2363m 25s (- 641m 51s) completed: 78%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0449  acc: 0.6029  lr: 0.0000 
ep/it:1179- 292 niter:451850  2363m 39s (- 641m 35s) completed: 78%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0447  acc: 0.6033  lr: 0.0000 
ep/it:1179- 342 niter:451900  2363m 53s (- 641m 19s) completed: 78%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0448  acc: 0.6047  lr: 0.0000 
Validation loss:1.570, accuracy:0.568

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.63it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:19<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.672089288942516 avg: 38.672089288942516
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.042955678887665 avg: 38.85752248391509
--> 	 Eva. Repeat 0 :, FID. 0.0863, Diversity Real. 9.5443, Diversity. 9.8955, R_precision_real. [0.50292969 0.70996094 0.81054688], R_precision. [0.50878906 0.70800781 0.79785156], matching_score_real. 2.9016, matching_score_pred. 2.9231, skate_ratio. 0.0514, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0488 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0069 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0254 
ep/it:1180-   9 niter:451950  2365m 31s (- 641m 25s) completed: 78%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0459  acc: 0.5945  lr: 0.0000 
ep/it:1180-  59 niter:452000  2365m 46s (- 641m 9s) completed: 78%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0443  acc: 0.5984  lr: 0.0000 
ep/it:1180- 109 niter:452050  2366m 0s (- 640m 53s) completed: 78%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0462  acc: 0.6028  lr: 0.0000 
ep/it:1180- 159 niter:452100  2366m 15s (- 640m 37s) completed: 78%) loss_emb: 0.0000  loss: 1.3618  loss_TTT: 0.0451  acc: 0.6046  lr: 0.0000 
ep/it:1180- 209 niter:452150  2366m 29s (- 640m 21s) completed: 78%) loss_emb: 0.0000  loss: 1.3459  loss_TTT: 0.0451  acc: 0.6090  lr: 0.0000 
ep/it:1180- 259 niter:452200  2366m 43s (- 640m 5s) completed: 78%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0454  acc: 0.5977  lr: 0.0000 
ep/it:1180- 309 niter:452250  2366m 58s (- 639m 49s) completed: 78%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0446  acc: 0.6042  lr: 0.0000 
ep/it:1180- 359 niter:452300  2367m 13s (- 639m 33s) completed: 78%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0435  acc: 0.6082  lr: 0.0000 
Validation loss:1.557, accuracy:0.572
ep/it:1181-  26 niter:452350  2367m 30s (- 639m 18s) completed: 78%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0452  acc: 0.6024  lr: 0.0000 
ep/it:1181-  76 niter:452400  2367m 44s (- 639m 2s) completed: 78%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0453  acc: 0.6045  lr: 0.0000 
ep/it:1181- 126 niter:452450  2367m 59s (- 638m 46s) completed: 78%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0459  acc: 0.6009  lr: 0.0000 
ep/it:1181- 176 niter:452500  2368m 13s (- 638m 30s) completed: 78%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0455  acc: 0.6032  lr: 0.0000 
ep/it:1181- 226 niter:452550  2368m 27s (- 638m 14s) completed: 78%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0457  acc: 0.5977  lr: 0.0000 
ep/it:1181- 276 niter:452600  2368m 42s (- 637m 58s) completed: 78%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0456  acc: 0.5979  lr: 0.0000 
ep/it:1181- 326 niter:452650  2368m 56s (- 637m 42s) completed: 78%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0423  acc: 0.6036  lr: 0.0000 
ep/it:1181- 376 niter:452700  2369m 10s (- 637m 25s) completed: 78%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0461  acc: 0.5970  lr: 0.0000 
Validation loss:1.570, accuracy:0.568
ep/it:1182-  43 niter:452750  2369m 27s (- 637m 10s) completed: 78%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0442  acc: 0.6003  lr: 0.0000 
ep/it:1182-  93 niter:452800  2369m 41s (- 636m 54s) completed: 78%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0442  acc: 0.6017  lr: 0.0000 
ep/it:1182- 143 niter:452850  2369m 55s (- 636m 38s) completed: 78%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0451  acc: 0.5994  lr: 0.0000 
ep/it:1182- 193 niter:452900  2370m 9s (- 636m 22s) completed: 78%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0459  acc: 0.6022  lr: 0.0000 
ep/it:1182- 243 niter:452950  2370m 24s (- 636m 6s) completed: 78%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0439  acc: 0.5960  lr: 0.0000 
ep/it:1182- 293 niter:453000  2370m 38s (- 635m 49s) completed: 78%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0454  acc: 0.5944  lr: 0.0000 
ep/it:1182- 343 niter:453050  2370m 52s (- 635m 33s) completed: 78%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0454  acc: 0.5963  lr: 0.0000 
Validation loss:1.594, accuracy:0.562
ep/it:1183-  10 niter:453100  2371m 9s (- 635m 18s) completed: 78%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0468  acc: 0.5995  lr: 0.0000 
ep/it:1183-  60 niter:453150  2371m 23s (- 635m 2s) completed: 78%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0431  acc: 0.6013  lr: 0.0000 
ep/it:1183- 110 niter:453200  2371m 38s (- 634m 46s) completed: 78%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0460  acc: 0.6003  lr: 0.0000 
ep/it:1183- 160 niter:453250  2371m 52s (- 634m 30s) completed: 78%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0463  acc: 0.5983  lr: 0.0000 
ep/it:1183- 210 niter:453300  2372m 6s (- 634m 14s) completed: 78%) loss_emb: 0.0000  loss: 1.3349  loss_TTT: 0.0452  acc: 0.6117  lr: 0.0000 
ep/it:1183- 260 niter:453350  2372m 21s (- 633m 58s) completed: 78%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0452  acc: 0.5892  lr: 0.0000 
ep/it:1183- 310 niter:453400  2372m 35s (- 633m 42s) completed: 78%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0444  acc: 0.5971  lr: 0.0000 
ep/it:1183- 360 niter:453450  2372m 50s (- 633m 26s) completed: 78%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0453  acc: 0.6027  lr: 0.0000 
Validation loss:1.578, accuracy:0.565
ep/it:1184-  27 niter:453500  2373m 7s (- 633m 10s) completed: 78%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0432  acc: 0.6044  lr: 0.0000 
ep/it:1184-  77 niter:453550  2373m 21s (- 632m 54s) completed: 78%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0465  acc: 0.5970  lr: 0.0000 
ep/it:1184- 127 niter:453600  2373m 35s (- 632m 38s) completed: 78%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0435  acc: 0.6001  lr: 0.0000 
ep/it:1184- 177 niter:453650  2373m 49s (- 632m 22s) completed: 78%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0477  acc: 0.5879  lr: 0.0000 
ep/it:1184- 227 niter:453700  2374m 3s (- 632m 6s) completed: 78%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0434  acc: 0.5947  lr: 0.0000 
ep/it:1184- 277 niter:453750  2374m 17s (- 631m 50s) completed: 78%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0446  acc: 0.6039  lr: 0.0000 
ep/it:1184- 327 niter:453800  2374m 31s (- 631m 34s) completed: 78%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0454  acc: 0.6052  lr: 0.0000 
ep/it:1184- 377 niter:453850  2374m 45s (- 631m 17s) completed: 78%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0454  acc: 0.6056  lr: 0.0000 
Validation loss:1.569, accuracy:0.571
ep/it:1185-  44 niter:453900  2375m 2s (- 631m 2s) completed: 79%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0448  acc: 0.5982  lr: 0.0000 
ep/it:1185-  94 niter:453950  2375m 16s (- 630m 46s) completed: 79%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0457  acc: 0.6001  lr: 0.0000 
ep/it:1185- 144 niter:454000  2375m 30s (- 630m 30s) completed: 79%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0452  acc: 0.6061  lr: 0.0000 
ep/it:1185- 194 niter:454050  2375m 44s (- 630m 14s) completed: 79%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0449  acc: 0.6016  lr: 0.0000 
ep/it:1185- 244 niter:454100  2375m 58s (- 629m 58s) completed: 79%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0438  acc: 0.6046  lr: 0.0000 
ep/it:1185- 294 niter:454150  2376m 13s (- 629m 42s) completed: 79%) loss_emb: 0.0000  loss: 1.3526  loss_TTT: 0.0459  acc: 0.6059  lr: 0.0000 
ep/it:1185- 344 niter:454200  2376m 27s (- 629m 25s) completed: 79%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0449  acc: 0.6029  lr: 0.0000 
Validation loss:1.575, accuracy:0.565
ep/it:1186-  11 niter:454250  2376m 43s (- 629m 10s) completed: 79%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0461  acc: 0.5993  lr: 0.0000 
ep/it:1186-  61 niter:454300  2376m 57s (- 628m 54s) completed: 79%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0456  acc: 0.5962  lr: 0.0000 
ep/it:1186- 111 niter:454350  2377m 12s (- 628m 38s) completed: 79%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0444  acc: 0.6021  lr: 0.0000 
ep/it:1186- 161 niter:454400  2377m 26s (- 628m 22s) completed: 79%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0449  acc: 0.6014  lr: 0.0000 
ep/it:1186- 211 niter:454450  2377m 40s (- 628m 5s) completed: 79%) loss_emb: 0.0000  loss: 1.3525  loss_TTT: 0.0450  acc: 0.6067  lr: 0.0000 
ep/it:1186- 261 niter:454500  2377m 54s (- 627m 49s) completed: 79%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0470  acc: 0.6013  lr: 0.0000 
ep/it:1186- 311 niter:454550  2378m 9s (- 627m 33s) completed: 79%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0437  acc: 0.5928  lr: 0.0000 
ep/it:1186- 361 niter:454600  2378m 22s (- 627m 17s) completed: 79%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0465  acc: 0.5995  lr: 0.0000 
Validation loss:1.587, accuracy:0.566
ep/it:1187-  28 niter:454650  2378m 39s (- 627m 2s) completed: 79%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0453  acc: 0.5997  lr: 0.0000 
ep/it:1187-  78 niter:454700  2378m 53s (- 626m 46s) completed: 79%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0438  acc: 0.5953  lr: 0.0000 
ep/it:1187- 128 niter:454750  2379m 7s (- 626m 29s) completed: 79%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0456  acc: 0.5966  lr: 0.0000 
ep/it:1187- 178 niter:454800  2379m 21s (- 626m 13s) completed: 79%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0464  acc: 0.6027  lr: 0.0000 
ep/it:1187- 228 niter:454850  2379m 35s (- 625m 57s) completed: 79%) loss_emb: 0.0000  loss: 1.3499  loss_TTT: 0.0438  acc: 0.6059  lr: 0.0000 
ep/it:1187- 278 niter:454900  2379m 49s (- 625m 41s) completed: 79%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0457  acc: 0.6036  lr: 0.0000 
ep/it:1187- 328 niter:454950  2380m 3s (- 625m 25s) completed: 79%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0465  acc: 0.6037  lr: 0.0000 
ep/it:1187- 378 niter:455000  2380m 17s (- 625m 9s) completed: 79%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0478  acc: 0.5944  lr: 0.0000 
Validation loss:1.507, accuracy:0.586
ep/it:1188-  45 niter:455050  2380m 35s (- 624m 54s) completed: 79%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0466  acc: 0.6003  lr: 0.0000 
ep/it:1188-  95 niter:455100  2380m 48s (- 624m 37s) completed: 79%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0454  acc: 0.6032  lr: 0.0000 
ep/it:1188- 145 niter:455150  2381m 3s (- 624m 21s) completed: 79%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0458  acc: 0.6104  lr: 0.0000 
ep/it:1188- 195 niter:455200  2381m 17s (- 624m 5s) completed: 79%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0435  acc: 0.5985  lr: 0.0000 
ep/it:1188- 245 niter:455250  2381m 31s (- 623m 49s) completed: 79%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0441  acc: 0.6000  lr: 0.0000 
ep/it:1188- 295 niter:455300  2381m 45s (- 623m 33s) completed: 79%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0448  acc: 0.6037  lr: 0.0000 
ep/it:1188- 345 niter:455350  2382m 0s (- 623m 17s) completed: 79%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0445  acc: 0.6020  lr: 0.0000 
Validation loss:1.602, accuracy:0.559
ep/it:1189-  12 niter:455400  2382m 16s (- 623m 1s) completed: 79%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0454  acc: 0.5943  lr: 0.0000 
ep/it:1189-  62 niter:455450  2382m 30s (- 622m 45s) completed: 79%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0469  acc: 0.6048  lr: 0.0000 
ep/it:1189- 112 niter:455500  2382m 45s (- 622m 29s) completed: 79%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0438  acc: 0.5998  lr: 0.0000 
ep/it:1189- 162 niter:455550  2382m 59s (- 622m 13s) completed: 79%) loss_emb: 0.0000  loss: 1.3344  loss_TTT: 0.0456  acc: 0.6103  lr: 0.0000 
ep/it:1189- 212 niter:455600  2383m 14s (- 621m 57s) completed: 79%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0439  acc: 0.6018  lr: 0.0000 
ep/it:1189- 262 niter:455650  2383m 29s (- 621m 41s) completed: 79%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0446  acc: 0.6057  lr: 0.0000 
ep/it:1189- 312 niter:455700  2383m 43s (- 621m 25s) completed: 79%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0432  acc: 0.5961  lr: 0.0000 
ep/it:1189- 362 niter:455750  2383m 57s (- 621m 9s) completed: 79%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0432  acc: 0.6017  lr: 0.0000 
Validation loss:1.603, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.52it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.69435910694301 avg: 38.69435910694301
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.533513359725475 avg: 38.61393623333424
--> 	 Eva. Repeat 0 :, FID. 0.1026, Diversity Real. 9.4907, Diversity. 9.6588, R_precision_real. [0.50976562 0.69726562 0.80175781], R_precision. [0.50292969 0.69335938 0.7890625 ], matching_score_real. 2.8870, matching_score_pred. 2.8847, skate_ratio. 0.0511, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0391 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0070 (kps_fail_50cm (Loc. err)): 0.0003 (kps_mean_err(m) (Avg. err)): 0.0261 
ep/it:1190-  29 niter:455800  2385m 33s (- 621m 15s) completed: 79%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0442  acc: 0.5906  lr: 0.0000 
ep/it:1190-  79 niter:455850  2385m 47s (- 620m 58s) completed: 79%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0460  acc: 0.6014  lr: 0.0000 
ep/it:1190- 129 niter:455900  2386m 1s (- 620m 42s) completed: 79%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0446  acc: 0.6042  lr: 0.0000 
ep/it:1190- 179 niter:455950  2386m 16s (- 620m 26s) completed: 79%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0442  acc: 0.5935  lr: 0.0000 
ep/it:1190- 229 niter:456000  2386m 30s (- 620m 10s) completed: 79%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0450  acc: 0.5998  lr: 0.0000 
ep/it:1190- 279 niter:456050  2386m 44s (- 619m 54s) completed: 79%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0443  acc: 0.6035  lr: 0.0000 
ep/it:1190- 329 niter:456100  2386m 58s (- 619m 38s) completed: 79%) loss_emb: 0.0000  loss: 1.3421  loss_TTT: 0.0442  acc: 0.6092  lr: 0.0000 
ep/it:1190- 379 niter:456150  2387m 12s (- 619m 22s) completed: 79%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0428  acc: 0.6047  lr: 0.0000 
Validation loss:1.542, accuracy:0.574
ep/it:1191-  46 niter:456200  2387m 29s (- 619m 6s) completed: 79%) loss_emb: 0.0000  loss: 1.3510  loss_TTT: 0.0446  acc: 0.6066  lr: 0.0000 
ep/it:1191-  96 niter:456250  2387m 44s (- 618m 50s) completed: 79%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0443  acc: 0.6000  lr: 0.0000 
ep/it:1191- 146 niter:456300  2387m 58s (- 618m 34s) completed: 79%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0445  acc: 0.6019  lr: 0.0000 
ep/it:1191- 196 niter:456350  2388m 12s (- 618m 18s) completed: 79%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0450  acc: 0.6015  lr: 0.0000 
ep/it:1191- 246 niter:456400  2388m 27s (- 618m 2s) completed: 79%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0449  acc: 0.6046  lr: 0.0000 
ep/it:1191- 296 niter:456450  2388m 41s (- 617m 46s) completed: 79%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0472  acc: 0.6010  lr: 0.0000 
ep/it:1191- 346 niter:456500  2388m 56s (- 617m 30s) completed: 79%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0475  acc: 0.5977  lr: 0.0000 
Validation loss:1.591, accuracy:0.561
ep/it:1192-  13 niter:456550  2389m 13s (- 617m 15s) completed: 79%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0457  acc: 0.5958  lr: 0.0000 
ep/it:1192-  63 niter:456600  2389m 27s (- 616m 59s) completed: 79%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0452  acc: 0.6057  lr: 0.0000 
ep/it:1192- 113 niter:456650  2389m 41s (- 616m 43s) completed: 79%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0464  acc: 0.5971  lr: 0.0000 
ep/it:1192- 163 niter:456700  2389m 56s (- 616m 27s) completed: 79%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0439  acc: 0.5984  lr: 0.0000 
ep/it:1192- 213 niter:456750  2390m 10s (- 616m 11s) completed: 79%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0451  acc: 0.6039  lr: 0.0000 
ep/it:1192- 263 niter:456800  2390m 25s (- 615m 55s) completed: 79%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0445  acc: 0.6093  lr: 0.0000 
ep/it:1192- 313 niter:456850  2390m 39s (- 615m 39s) completed: 79%) loss_emb: 0.0000  loss: 1.3620  loss_TTT: 0.0452  acc: 0.6038  lr: 0.0000 
ep/it:1192- 363 niter:456900  2390m 54s (- 615m 23s) completed: 79%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0441  acc: 0.6088  lr: 0.0000 
Validation loss:1.578, accuracy:0.567
ep/it:1193-  30 niter:456950  2391m 10s (- 615m 7s) completed: 79%) loss_emb: 0.0000  loss: 1.3380  loss_TTT: 0.0451  acc: 0.6108  lr: 0.0000 
ep/it:1193-  80 niter:457000  2391m 25s (- 614m 51s) completed: 79%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0444  acc: 0.6031  lr: 0.0000 
ep/it:1193- 130 niter:457050  2391m 39s (- 614m 35s) completed: 79%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0447  acc: 0.5989  lr: 0.0000 
ep/it:1193- 180 niter:457100  2391m 54s (- 614m 19s) completed: 79%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0460  acc: 0.5999  lr: 0.0000 
ep/it:1193- 230 niter:457150  2392m 8s (- 614m 3s) completed: 79%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0438  acc: 0.6017  lr: 0.0000 
ep/it:1193- 280 niter:457200  2392m 23s (- 613m 47s) completed: 79%) loss_emb: 0.0000  loss: 1.3491  loss_TTT: 0.0438  acc: 0.6078  lr: 0.0000 
ep/it:1193- 330 niter:457250  2392m 37s (- 613m 31s) completed: 79%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0454  acc: 0.6031  lr: 0.0000 
ep/it:1193- 380 niter:457300  2392m 51s (- 613m 15s) completed: 79%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0461  acc: 0.6056  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:1194-  47 niter:457350  2393m 9s (- 613m 0s) completed: 79%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0456  acc: 0.5997  lr: 0.0000 
ep/it:1194-  97 niter:457400  2393m 23s (- 612m 44s) completed: 79%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0465  acc: 0.6010  lr: 0.0000 
ep/it:1194- 147 niter:457450  2393m 37s (- 612m 28s) completed: 79%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0452  acc: 0.6055  lr: 0.0000 
ep/it:1194- 197 niter:457500  2393m 51s (- 612m 12s) completed: 79%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0456  acc: 0.5991  lr: 0.0000 
ep/it:1194- 247 niter:457550  2394m 6s (- 611m 56s) completed: 79%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0455  acc: 0.6007  lr: 0.0000 
ep/it:1194- 297 niter:457600  2394m 21s (- 611m 40s) completed: 79%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0434  acc: 0.6016  lr: 0.0000 
ep/it:1194- 347 niter:457650  2394m 35s (- 611m 24s) completed: 79%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0446  acc: 0.6075  lr: 0.0000 
Validation loss:1.554, accuracy:0.573
ep/it:1195-  14 niter:457700  2394m 53s (- 611m 8s) completed: 79%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0455  acc: 0.5980  lr: 0.0000 
ep/it:1195-  64 niter:457750  2395m 7s (- 610m 52s) completed: 79%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0443  acc: 0.6049  lr: 0.0000 
ep/it:1195- 114 niter:457800  2395m 21s (- 610m 36s) completed: 79%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0445  acc: 0.5998  lr: 0.0000 
ep/it:1195- 164 niter:457850  2395m 35s (- 610m 20s) completed: 79%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0442  acc: 0.6013  lr: 0.0000 
ep/it:1195- 214 niter:457900  2395m 50s (- 610m 4s) completed: 79%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0449  acc: 0.6019  lr: 0.0000 
ep/it:1195- 264 niter:457950  2396m 4s (- 609m 48s) completed: 79%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0466  acc: 0.5984  lr: 0.0000 
ep/it:1195- 314 niter:458000  2396m 19s (- 609m 32s) completed: 79%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0451  acc: 0.6052  lr: 0.0000 
ep/it:1195- 364 niter:458050  2396m 33s (- 609m 16s) completed: 79%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0433  acc: 0.5944  lr: 0.0000 
Validation loss:1.585, accuracy:0.565
ep/it:1196-  31 niter:458100  2396m 50s (- 609m 1s) completed: 79%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0439  acc: 0.6061  lr: 0.0000 
ep/it:1196-  81 niter:458150  2397m 5s (- 608m 45s) completed: 79%) loss_emb: 0.0000  loss: 1.3417  loss_TTT: 0.0440  acc: 0.6094  lr: 0.0000 
ep/it:1196- 131 niter:458200  2397m 19s (- 608m 29s) completed: 79%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0450  acc: 0.5964  lr: 0.0000 
ep/it:1196- 181 niter:458250  2397m 34s (- 608m 13s) completed: 79%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0447  acc: 0.6046  lr: 0.0000 
ep/it:1196- 231 niter:458300  2397m 48s (- 607m 57s) completed: 79%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0455  acc: 0.6049  lr: 0.0000 
ep/it:1196- 281 niter:458350  2398m 3s (- 607m 41s) completed: 79%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0465  acc: 0.5922  lr: 0.0000 
ep/it:1196- 331 niter:458400  2398m 18s (- 607m 25s) completed: 79%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0439  acc: 0.6072  lr: 0.0000 
ep/it:1196- 381 niter:458450  2398m 32s (- 607m 9s) completed: 79%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0463  acc: 0.6016  lr: 0.0000 
Validation loss:1.572, accuracy:0.567
ep/it:1197-  48 niter:458500  2398m 49s (- 606m 54s) completed: 79%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0449  acc: 0.6021  lr: 0.0000 
ep/it:1197-  98 niter:458550  2399m 4s (- 606m 38s) completed: 79%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0467  acc: 0.6006  lr: 0.0000 
ep/it:1197- 148 niter:458600  2399m 19s (- 606m 22s) completed: 79%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0439  acc: 0.5977  lr: 0.0000 
ep/it:1197- 198 niter:458650  2399m 33s (- 606m 6s) completed: 79%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0443  acc: 0.6022  lr: 0.0000 
ep/it:1197- 248 niter:458700  2399m 47s (- 605m 50s) completed: 79%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0445  acc: 0.6022  lr: 0.0000 
ep/it:1197- 298 niter:458750  2400m 1s (- 605m 33s) completed: 79%) loss_emb: 0.0000  loss: 1.3567  loss_TTT: 0.0438  acc: 0.6049  lr: 0.0000 
ep/it:1197- 348 niter:458800  2400m 15s (- 605m 17s) completed: 79%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0442  acc: 0.5972  lr: 0.0000 
Validation loss:1.603, accuracy:0.559
ep/it:1198-  15 niter:458850  2400m 32s (- 605m 2s) completed: 79%) loss_emb: 0.0000  loss: 1.3414  loss_TTT: 0.0443  acc: 0.6085  lr: 0.0000 
ep/it:1198-  65 niter:458900  2400m 46s (- 604m 46s) completed: 79%) loss_emb: 0.0000  loss: 1.3534  loss_TTT: 0.0437  acc: 0.6060  lr: 0.0000 
ep/it:1198- 115 niter:458950  2401m 1s (- 604m 30s) completed: 79%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0469  acc: 0.5957  lr: 0.0000 
ep/it:1198- 165 niter:459000  2401m 15s (- 604m 14s) completed: 79%) loss_emb: 0.0000  loss: 1.3331  loss_TTT: 0.0432  acc: 0.6112  lr: 0.0000 
ep/it:1198- 215 niter:459050  2401m 30s (- 603m 58s) completed: 79%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0457  acc: 0.6010  lr: 0.0000 
ep/it:1198- 265 niter:459100  2401m 45s (- 603m 42s) completed: 79%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0446  acc: 0.5993  lr: 0.0000 
ep/it:1198- 315 niter:459150  2402m 0s (- 603m 26s) completed: 79%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0447  acc: 0.6048  lr: 0.0000 
ep/it:1198- 365 niter:459200  2402m 14s (- 603m 10s) completed: 79%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0451  acc: 0.6061  lr: 0.0000 
Validation loss:1.567, accuracy:0.566
ep/it:1199-  32 niter:459250  2402m 32s (- 602m 55s) completed: 79%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0441  acc: 0.5982  lr: 0.0000 
ep/it:1199-  82 niter:459300  2402m 46s (- 602m 39s) completed: 79%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0455  acc: 0.6013  lr: 0.0000 
ep/it:1199- 132 niter:459350  2403m 0s (- 602m 23s) completed: 79%) loss_emb: 0.0000  loss: 1.3406  loss_TTT: 0.0430  acc: 0.6089  lr: 0.0000 
ep/it:1199- 182 niter:459400  2403m 15s (- 602m 7s) completed: 79%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0439  acc: 0.5894  lr: 0.0000 
ep/it:1199- 232 niter:459450  2403m 29s (- 601m 51s) completed: 79%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0451  acc: 0.6030  lr: 0.0000 
ep/it:1199- 282 niter:459500  2403m 42s (- 601m 34s) completed: 79%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0456  acc: 0.5989  lr: 0.0000 
ep/it:1199- 332 niter:459550  2403m 57s (- 601m 18s) completed: 79%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0455  acc: 0.6026  lr: 0.0000 
ep/it:1199- 382 niter:459600  2404m 11s (- 601m 2s) completed: 80%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0461  acc: 0.5995  lr: 0.0000 
Validation loss:1.601, accuracy:0.560

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.79it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.61892505083233 avg: 38.61892505083233
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.79290508199483 avg: 38.70591506641358
--> 	 Eva. Repeat 0 :, FID. 0.0723, Diversity Real. 9.5220, Diversity. 9.2701, R_precision_real. [0.48535156 0.69824219 0.78320312], R_precision. [0.50390625 0.703125   0.79882812], matching_score_real. 2.8915, matching_score_pred. 2.9035, skate_ratio. 0.0439, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0479 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0095 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0272 
ep/it:1200-  49 niter:459650  2405m 46s (- 601m 7s) completed: 80%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0453  acc: 0.5977  lr: 0.0000 
ep/it:1200-  99 niter:459700  2406m 1s (- 600m 51s) completed: 80%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0446  acc: 0.5997  lr: 0.0000 
ep/it:1200- 149 niter:459750  2406m 16s (- 600m 35s) completed: 80%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0452  acc: 0.6031  lr: 0.0000 
ep/it:1200- 199 niter:459800  2406m 30s (- 600m 19s) completed: 80%) loss_emb: 0.0000  loss: 1.3393  loss_TTT: 0.0455  acc: 0.6098  lr: 0.0000 
ep/it:1200- 249 niter:459850  2406m 44s (- 600m 3s) completed: 80%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0443  acc: 0.5944  lr: 0.0000 
ep/it:1200- 299 niter:459900  2406m 59s (- 599m 47s) completed: 80%) loss_emb: 0.0000  loss: 1.3526  loss_TTT: 0.0462  acc: 0.6048  lr: 0.0000 
ep/it:1200- 349 niter:459950  2407m 13s (- 599m 30s) completed: 80%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0456  acc: 0.6024  lr: 0.0000 
Validation loss:1.575, accuracy:0.567
ep/it:1201-  16 niter:460000  2407m 30s (- 599m 15s) completed: 80%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0439  acc: 0.6069  lr: 0.0000 
ep/it:1201-  66 niter:460050  2407m 44s (- 598m 59s) completed: 80%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0462  acc: 0.6022  lr: 0.0000 
ep/it:1201- 116 niter:460100  2407m 58s (- 598m 43s) completed: 80%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0448  acc: 0.5983  lr: 0.0000 
ep/it:1201- 166 niter:460150  2408m 12s (- 598m 27s) completed: 80%) loss_emb: 0.0000  loss: 1.3493  loss_TTT: 0.0442  acc: 0.6074  lr: 0.0000 
ep/it:1201- 216 niter:460200  2408m 26s (- 598m 11s) completed: 80%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0445  acc: 0.6018  lr: 0.0000 
ep/it:1201- 266 niter:460250  2408m 40s (- 597m 55s) completed: 80%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0448  acc: 0.6019  lr: 0.0000 
ep/it:1201- 316 niter:460300  2408m 54s (- 597m 38s) completed: 80%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0449  acc: 0.5943  lr: 0.0000 
ep/it:1201- 366 niter:460350  2409m 8s (- 597m 22s) completed: 80%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0435  acc: 0.5968  lr: 0.0000 
Validation loss:1.605, accuracy:0.558
ep/it:1202-  33 niter:460400  2409m 25s (- 597m 7s) completed: 80%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0446  acc: 0.5945  lr: 0.0000 
ep/it:1202-  83 niter:460450  2409m 39s (- 596m 51s) completed: 80%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0438  acc: 0.6056  lr: 0.0000 
ep/it:1202- 133 niter:460500  2409m 54s (- 596m 35s) completed: 80%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0452  acc: 0.6037  lr: 0.0000 
ep/it:1202- 183 niter:460550  2410m 8s (- 596m 19s) completed: 80%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0454  acc: 0.6018  lr: 0.0000 
ep/it:1202- 233 niter:460600  2410m 22s (- 596m 3s) completed: 80%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0439  acc: 0.6038  lr: 0.0000 
ep/it:1202- 283 niter:460650  2410m 36s (- 595m 47s) completed: 80%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0443  acc: 0.5979  lr: 0.0000 
ep/it:1202- 333 niter:460700  2410m 50s (- 595m 30s) completed: 80%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0466  acc: 0.6001  lr: 0.0000 
Validation loss:1.595, accuracy:0.561
ep/it:1203-   0 niter:460750  2411m 7s (- 595m 15s) completed: 80%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0442  acc: 0.6055  lr: 0.0000 
ep/it:1203-  50 niter:460800  2411m 21s (- 594m 59s) completed: 80%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0445  acc: 0.6024  lr: 0.0000 
ep/it:1203- 100 niter:460850  2411m 35s (- 594m 43s) completed: 80%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0439  acc: 0.6026  lr: 0.0000 
ep/it:1203- 150 niter:460900  2411m 49s (- 594m 27s) completed: 80%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0427  acc: 0.6066  lr: 0.0000 
ep/it:1203- 200 niter:460950  2412m 3s (- 594m 11s) completed: 80%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0454  acc: 0.6041  lr: 0.0000 
ep/it:1203- 250 niter:461000  2412m 17s (- 593m 54s) completed: 80%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0445  acc: 0.6022  lr: 0.0000 
ep/it:1203- 300 niter:461050  2412m 31s (- 593m 38s) completed: 80%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0462  acc: 0.6041  lr: 0.0000 
ep/it:1203- 350 niter:461100  2412m 46s (- 593m 22s) completed: 80%) loss_emb: 0.0000  loss: 1.3542  loss_TTT: 0.0453  acc: 0.6073  lr: 0.0000 
Validation loss:1.575, accuracy:0.565
ep/it:1204-  17 niter:461150  2413m 3s (- 593m 7s) completed: 80%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0460  acc: 0.5975  lr: 0.0000 
ep/it:1204-  67 niter:461200  2413m 16s (- 592m 51s) completed: 80%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0448  acc: 0.6015  lr: 0.0000 
ep/it:1204- 117 niter:461250  2413m 31s (- 592m 35s) completed: 80%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0465  acc: 0.6006  lr: 0.0000 
ep/it:1204- 167 niter:461300  2413m 45s (- 592m 19s) completed: 80%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0441  acc: 0.5989  lr: 0.0000 
ep/it:1204- 217 niter:461350  2413m 59s (- 592m 3s) completed: 80%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0441  acc: 0.5985  lr: 0.0000 
ep/it:1204- 267 niter:461400  2414m 13s (- 591m 46s) completed: 80%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0432  acc: 0.6021  lr: 0.0000 
ep/it:1204- 317 niter:461450  2414m 27s (- 591m 30s) completed: 80%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0450  acc: 0.6002  lr: 0.0000 
ep/it:1204- 367 niter:461500  2414m 41s (- 591m 14s) completed: 80%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0446  acc: 0.6016  lr: 0.0000 
Validation loss:1.525, accuracy:0.580
ep/it:1205-  34 niter:461550  2414m 58s (- 590m 59s) completed: 80%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0474  acc: 0.5985  lr: 0.0000 
ep/it:1205-  84 niter:461600  2415m 12s (- 590m 43s) completed: 80%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0458  acc: 0.6025  lr: 0.0000 
ep/it:1205- 134 niter:461650  2415m 26s (- 590m 27s) completed: 80%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0428  acc: 0.5992  lr: 0.0000 
ep/it:1205- 184 niter:461700  2415m 40s (- 590m 11s) completed: 80%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0449  acc: 0.6010  lr: 0.0000 
ep/it:1205- 234 niter:461750  2415m 55s (- 589m 55s) completed: 80%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0451  acc: 0.6016  lr: 0.0000 
ep/it:1205- 284 niter:461800  2416m 9s (- 589m 39s) completed: 80%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0458  acc: 0.6035  lr: 0.0000 
ep/it:1205- 334 niter:461850  2416m 23s (- 589m 23s) completed: 80%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0457  acc: 0.6014  lr: 0.0000 
Validation loss:1.574, accuracy:0.568
ep/it:1206-   1 niter:461900  2416m 40s (- 589m 7s) completed: 80%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0468  acc: 0.5976  lr: 0.0000 
ep/it:1206-  51 niter:461950  2416m 54s (- 588m 51s) completed: 80%) loss_emb: 0.0000  loss: 1.3553  loss_TTT: 0.0448  acc: 0.6044  lr: 0.0000 
ep/it:1206- 101 niter:462000  2417m 9s (- 588m 35s) completed: 80%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0465  acc: 0.5908  lr: 0.0000 
ep/it:1206- 151 niter:462050  2417m 24s (- 588m 19s) completed: 80%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0443  acc: 0.6017  lr: 0.0000 
ep/it:1206- 201 niter:462100  2417m 38s (- 588m 3s) completed: 80%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0440  acc: 0.6039  lr: 0.0000 
ep/it:1206- 251 niter:462150  2417m 52s (- 587m 47s) completed: 80%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0455  acc: 0.5983  lr: 0.0000 
ep/it:1206- 301 niter:462200  2418m 6s (- 587m 31s) completed: 80%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0460  acc: 0.5964  lr: 0.0000 
ep/it:1206- 351 niter:462250  2418m 20s (- 587m 15s) completed: 80%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0452  acc: 0.5985  lr: 0.0000 
Validation loss:1.600, accuracy:0.559
ep/it:1207-  18 niter:462300  2418m 37s (- 586m 59s) completed: 80%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0439  acc: 0.5981  lr: 0.0000 
ep/it:1207-  68 niter:462350  2418m 51s (- 586m 43s) completed: 80%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0444  acc: 0.6046  lr: 0.0000 
ep/it:1207- 118 niter:462400  2419m 5s (- 586m 27s) completed: 80%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0436  acc: 0.6025  lr: 0.0000 
ep/it:1207- 168 niter:462450  2419m 20s (- 586m 11s) completed: 80%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0427  acc: 0.5961  lr: 0.0000 
ep/it:1207- 218 niter:462500  2419m 35s (- 585m 56s) completed: 80%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0437  acc: 0.6005  lr: 0.0000 
ep/it:1207- 268 niter:462550  2419m 50s (- 585m 40s) completed: 80%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0453  acc: 0.5984  lr: 0.0000 
ep/it:1207- 318 niter:462600  2420m 5s (- 585m 24s) completed: 80%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0451  acc: 0.6010  lr: 0.0000 
ep/it:1207- 368 niter:462650  2420m 19s (- 585m 8s) completed: 80%) loss_emb: 0.0000  loss: 1.3499  loss_TTT: 0.0457  acc: 0.6063  lr: 0.0000 
Validation loss:1.553, accuracy:0.575
ep/it:1208-  35 niter:462700  2420m 36s (- 584m 52s) completed: 80%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0454  acc: 0.6077  lr: 0.0000 
ep/it:1208-  85 niter:462750  2420m 50s (- 584m 36s) completed: 80%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0448  acc: 0.5993  lr: 0.0000 
ep/it:1208- 135 niter:462800  2421m 4s (- 584m 20s) completed: 80%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0469  acc: 0.6032  lr: 0.0000 
ep/it:1208- 185 niter:462850  2421m 19s (- 584m 4s) completed: 80%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0442  acc: 0.6003  lr: 0.0000 
ep/it:1208- 235 niter:462900  2421m 34s (- 583m 48s) completed: 80%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0441  acc: 0.5989  lr: 0.0000 
ep/it:1208- 285 niter:462950  2421m 48s (- 583m 32s) completed: 80%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0453  acc: 0.5968  lr: 0.0000 
ep/it:1208- 335 niter:463000  2422m 3s (- 583m 16s) completed: 80%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0460  acc: 0.6014  lr: 0.0000 
Validation loss:1.582, accuracy:0.566
ep/it:1209-   2 niter:463050  2422m 21s (- 583m 1s) completed: 80%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0455  acc: 0.5993  lr: 0.0000 
ep/it:1209-  52 niter:463100  2422m 35s (- 582m 45s) completed: 80%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0442  acc: 0.6006  lr: 0.0000 
ep/it:1209- 102 niter:463150  2422m 49s (- 582m 29s) completed: 80%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0429  acc: 0.5936  lr: 0.0000 
ep/it:1209- 152 niter:463200  2423m 4s (- 582m 13s) completed: 80%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0437  acc: 0.6004  lr: 0.0000 
ep/it:1209- 202 niter:463250  2423m 18s (- 581m 57s) completed: 80%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0436  acc: 0.5997  lr: 0.0000 
ep/it:1209- 252 niter:463300  2423m 32s (- 581m 41s) completed: 80%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0458  acc: 0.6041  lr: 0.0000 
ep/it:1209- 302 niter:463350  2423m 47s (- 581m 25s) completed: 80%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0463  acc: 0.6075  lr: 0.0000 
ep/it:1209- 352 niter:463400  2424m 1s (- 581m 9s) completed: 80%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0447  acc: 0.5914  lr: 0.0000 
Validation loss:1.534, accuracy:0.576

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.92it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:19<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.89584706630558 avg: 38.89584706630558
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.97326580155641 avg: 38.93455643393099
--> 	 Eva. Repeat 0 :, FID. 0.1168, Diversity Real. 9.2501, Diversity. 9.6587, R_precision_real. [0.50683594 0.70996094 0.79296875], R_precision. [0.49414062 0.69335938 0.80664062], matching_score_real. 2.8643, matching_score_pred. 2.9044, skate_ratio. 0.0472, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0439 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0089 (kps_fail_50cm (Loc. err)): 0.0019 (kps_mean_err(m) (Avg. err)): 0.0273 
ep/it:1210-  19 niter:463450  2425m 38s (- 581m 13s) completed: 80%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0451  acc: 0.5995  lr: 0.0000 
ep/it:1210-  69 niter:463500  2425m 53s (- 580m 57s) completed: 80%) loss_emb: 0.0000  loss: 1.3487  loss_TTT: 0.0441  acc: 0.6074  lr: 0.0000 
ep/it:1210- 119 niter:463550  2426m 7s (- 580m 41s) completed: 80%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0442  acc: 0.6062  lr: 0.0000 
ep/it:1210- 169 niter:463600  2426m 21s (- 580m 25s) completed: 80%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0453  acc: 0.5978  lr: 0.0000 
ep/it:1210- 219 niter:463650  2426m 36s (- 580m 9s) completed: 80%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0454  acc: 0.6008  lr: 0.0000 
ep/it:1210- 269 niter:463700  2426m 51s (- 579m 53s) completed: 80%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0462  acc: 0.6065  lr: 0.0000 
ep/it:1210- 319 niter:463750  2427m 5s (- 579m 37s) completed: 80%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0453  acc: 0.6050  lr: 0.0000 
ep/it:1210- 369 niter:463800  2427m 20s (- 579m 21s) completed: 80%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0448  acc: 0.5999  lr: 0.0000 
Validation loss:1.588, accuracy:0.564
ep/it:1211-  36 niter:463850  2427m 36s (- 579m 6s) completed: 80%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0433  acc: 0.6029  lr: 0.0000 
ep/it:1211-  86 niter:463900  2427m 50s (- 578m 49s) completed: 80%) loss_emb: 0.0000  loss: 1.3378  loss_TTT: 0.0426  acc: 0.6086  lr: 0.0000 
ep/it:1211- 136 niter:463950  2428m 5s (- 578m 33s) completed: 80%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0457  acc: 0.6002  lr: 0.0000 
ep/it:1211- 186 niter:464000  2428m 19s (- 578m 17s) completed: 80%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0461  acc: 0.5959  lr: 0.0000 
ep/it:1211- 236 niter:464050  2428m 33s (- 578m 1s) completed: 80%) loss_emb: 0.0000  loss: 1.3445  loss_TTT: 0.0455  acc: 0.6089  lr: 0.0000 
ep/it:1211- 286 niter:464100  2428m 47s (- 577m 45s) completed: 80%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0461  acc: 0.5942  lr: 0.0000 
ep/it:1211- 336 niter:464150  2429m 1s (- 577m 29s) completed: 80%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0452  acc: 0.6007  lr: 0.0000 
Validation loss:1.544, accuracy:0.577
ep/it:1212-   3 niter:464200  2429m 18s (- 577m 14s) completed: 80%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0458  acc: 0.5977  lr: 0.0000 
ep/it:1212-  53 niter:464250  2429m 32s (- 576m 57s) completed: 80%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0449  acc: 0.6074  lr: 0.0000 
ep/it:1212- 103 niter:464300  2429m 46s (- 576m 41s) completed: 80%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0437  acc: 0.5990  lr: 0.0000 
ep/it:1212- 153 niter:464350  2430m 0s (- 576m 25s) completed: 80%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0451  acc: 0.6044  lr: 0.0000 
ep/it:1212- 203 niter:464400  2430m 14s (- 576m 9s) completed: 80%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0452  acc: 0.6008  lr: 0.0000 
ep/it:1212- 253 niter:464450  2430m 28s (- 575m 53s) completed: 80%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0459  acc: 0.5938  lr: 0.0000 
ep/it:1212- 303 niter:464500  2430m 42s (- 575m 37s) completed: 80%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0449  acc: 0.6043  lr: 0.0000 
ep/it:1212- 353 niter:464550  2430m 56s (- 575m 21s) completed: 80%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0442  acc: 0.6006  lr: 0.0000 
Validation loss:1.550, accuracy:0.575
ep/it:1213-  20 niter:464600  2431m 13s (- 575m 6s) completed: 80%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0469  acc: 0.6064  lr: 0.0000 
ep/it:1213-  70 niter:464650  2431m 28s (- 574m 50s) completed: 80%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0439  acc: 0.5987  lr: 0.0000 
ep/it:1213- 120 niter:464700  2431m 42s (- 574m 34s) completed: 80%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0451  acc: 0.5974  lr: 0.0000 
ep/it:1213- 170 niter:464750  2431m 56s (- 574m 17s) completed: 80%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0465  acc: 0.6000  lr: 0.0000 
ep/it:1213- 220 niter:464800  2432m 10s (- 574m 1s) completed: 80%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0450  acc: 0.6019  lr: 0.0000 
ep/it:1213- 270 niter:464850  2432m 24s (- 573m 45s) completed: 80%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0457  acc: 0.5971  lr: 0.0000 
ep/it:1213- 320 niter:464900  2432m 38s (- 573m 29s) completed: 80%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0451  acc: 0.6017  lr: 0.0000 
ep/it:1213- 370 niter:464950  2432m 52s (- 573m 13s) completed: 80%) loss_emb: 0.0000  loss: 1.3415  loss_TTT: 0.0435  acc: 0.6074  lr: 0.0000 
Validation loss:1.559, accuracy:0.571
ep/it:1214-  37 niter:465000  2433m 9s (- 572m 58s) completed: 80%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0441  acc: 0.5975  lr: 0.0000 
ep/it:1214-  87 niter:465050  2433m 23s (- 572m 42s) completed: 80%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0456  acc: 0.5946  lr: 0.0000 
ep/it:1214- 137 niter:465100  2433m 37s (- 572m 25s) completed: 80%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0444  acc: 0.6040  lr: 0.0000 
ep/it:1214- 187 niter:465150  2433m 51s (- 572m 9s) completed: 80%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0447  acc: 0.6008  lr: 0.0000 
ep/it:1214- 237 niter:465200  2434m 5s (- 571m 53s) completed: 80%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0453  acc: 0.5967  lr: 0.0000 
ep/it:1214- 287 niter:465250  2434m 19s (- 571m 37s) completed: 80%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0445  acc: 0.6001  lr: 0.0000 
ep/it:1214- 337 niter:465300  2434m 33s (- 571m 21s) completed: 80%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0458  acc: 0.6039  lr: 0.0000 
Validation loss:1.598, accuracy:0.564
ep/it:1215-   4 niter:465350  2434m 50s (- 571m 6s) completed: 81%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0458  acc: 0.5997  lr: 0.0000 
ep/it:1215-  54 niter:465400  2435m 4s (- 570m 50s) completed: 81%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0442  acc: 0.6015  lr: 0.0000 
ep/it:1215- 104 niter:465450  2435m 18s (- 570m 34s) completed: 81%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0451  acc: 0.5991  lr: 0.0000 
ep/it:1215- 154 niter:465500  2435m 32s (- 570m 17s) completed: 81%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0449  acc: 0.5972  lr: 0.0000 
ep/it:1215- 204 niter:465550  2435m 47s (- 570m 1s) completed: 81%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0449  acc: 0.5936  lr: 0.0000 
ep/it:1215- 254 niter:465600  2436m 1s (- 569m 45s) completed: 81%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0445  acc: 0.6041  lr: 0.0000 
ep/it:1215- 304 niter:465650  2436m 15s (- 569m 29s) completed: 81%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0434  acc: 0.6010  lr: 0.0000 
ep/it:1215- 354 niter:465700  2436m 29s (- 569m 13s) completed: 81%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0443  acc: 0.5971  lr: 0.0000 
Validation loss:1.594, accuracy:0.561
ep/it:1216-  21 niter:465750  2436m 46s (- 568m 58s) completed: 81%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0442  acc: 0.5932  lr: 0.0000 
ep/it:1216-  71 niter:465800  2437m 0s (- 568m 42s) completed: 81%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0463  acc: 0.6020  lr: 0.0000 
ep/it:1216- 121 niter:465850  2437m 15s (- 568m 26s) completed: 81%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0456  acc: 0.6002  lr: 0.0000 
ep/it:1216- 171 niter:465900  2437m 30s (- 568m 10s) completed: 81%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0443  acc: 0.5998  lr: 0.0000 
ep/it:1216- 221 niter:465950  2437m 45s (- 567m 54s) completed: 81%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0454  acc: 0.5965  lr: 0.0000 
ep/it:1216- 271 niter:466000  2437m 59s (- 567m 38s) completed: 81%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0452  acc: 0.6027  lr: 0.0000 
ep/it:1216- 321 niter:466050  2438m 14s (- 567m 22s) completed: 81%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0438  acc: 0.5948  lr: 0.0000 
ep/it:1216- 371 niter:466100  2438m 28s (- 567m 6s) completed: 81%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0460  acc: 0.6053  lr: 0.0000 
Validation loss:1.583, accuracy:0.565
ep/it:1217-  38 niter:466150  2438m 46s (- 566m 51s) completed: 81%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0445  acc: 0.6019  lr: 0.0000 
ep/it:1217-  88 niter:466200  2439m 0s (- 566m 35s) completed: 81%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0446  acc: 0.5942  lr: 0.0000 
ep/it:1217- 138 niter:466250  2439m 15s (- 566m 19s) completed: 81%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0464  acc: 0.6021  lr: 0.0000 
ep/it:1217- 188 niter:466300  2439m 30s (- 566m 3s) completed: 81%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0448  acc: 0.5975  lr: 0.0000 
ep/it:1217- 238 niter:466350  2439m 45s (- 565m 47s) completed: 81%) loss_emb: 0.0000  loss: 1.3595  loss_TTT: 0.0460  acc: 0.6043  lr: 0.0000 
ep/it:1217- 288 niter:466400  2440m 0s (- 565m 31s) completed: 81%) loss_emb: 0.0000  loss: 1.3406  loss_TTT: 0.0452  acc: 0.6079  lr: 0.0000 
ep/it:1217- 338 niter:466450  2440m 14s (- 565m 16s) completed: 81%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0438  acc: 0.6057  lr: 0.0000 
Validation loss:1.601, accuracy:0.561
ep/it:1218-   5 niter:466500  2440m 32s (- 565m 0s) completed: 81%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0446  acc: 0.5989  lr: 0.0000 
ep/it:1218-  55 niter:466550  2440m 47s (- 564m 44s) completed: 81%) loss_emb: 0.0000  loss: 1.3440  loss_TTT: 0.0433  acc: 0.6076  lr: 0.0000 
ep/it:1218- 105 niter:466600  2441m 2s (- 564m 28s) completed: 81%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0446  acc: 0.5990  lr: 0.0000 
ep/it:1218- 155 niter:466650  2441m 17s (- 564m 13s) completed: 81%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0451  acc: 0.5986  lr: 0.0000 
ep/it:1218- 205 niter:466700  2441m 32s (- 563m 57s) completed: 81%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0444  acc: 0.5998  lr: 0.0000 
ep/it:1218- 255 niter:466750  2441m 46s (- 563m 41s) completed: 81%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0445  acc: 0.5968  lr: 0.0000 
ep/it:1218- 305 niter:466800  2442m 1s (- 563m 25s) completed: 81%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0442  acc: 0.5984  lr: 0.0000 
ep/it:1218- 355 niter:466850  2442m 16s (- 563m 9s) completed: 81%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0438  acc: 0.6044  lr: 0.0000 
Validation loss:1.568, accuracy:0.568
ep/it:1219-  22 niter:466900  2442m 33s (- 562m 54s) completed: 81%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0445  acc: 0.5993  lr: 0.0000 
ep/it:1219-  72 niter:466950  2442m 48s (- 562m 38s) completed: 81%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0467  acc: 0.5975  lr: 0.0000 
ep/it:1219- 122 niter:467000  2443m 3s (- 562m 22s) completed: 81%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0445  acc: 0.6027  lr: 0.0000 
ep/it:1219- 172 niter:467050  2443m 17s (- 562m 6s) completed: 81%) loss_emb: 0.0000  loss: 1.3519  loss_TTT: 0.0466  acc: 0.6078  lr: 0.0000 
ep/it:1219- 222 niter:467100  2443m 32s (- 561m 50s) completed: 81%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0452  acc: 0.6072  lr: 0.0000 
ep/it:1219- 272 niter:467150  2443m 46s (- 561m 34s) completed: 81%) loss_emb: 0.0000  loss: 1.3471  loss_TTT: 0.0435  acc: 0.6074  lr: 0.0000 
ep/it:1219- 322 niter:467200  2444m 1s (- 561m 18s) completed: 81%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0459  acc: 0.6042  lr: 0.0000 
ep/it:1219- 372 niter:467250  2444m 15s (- 561m 2s) completed: 81%) loss_emb: 0.0000  loss: 1.3470  loss_TTT: 0.0450  acc: 0.6091  lr: 0.0000 
Validation loss:1.598, accuracy:0.561

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.65it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.84697502385825 avg: 38.84697502385825
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.59172144532204 avg: 38.71934823459014
--> 	 Eva. Repeat 0 :, FID. 0.0829, Diversity Real. 9.5668, Diversity. 9.6170, R_precision_real. [0.51660156 0.703125   0.81738281], R_precision. [0.52929688 0.71875    0.81738281], matching_score_real. 2.9093, matching_score_pred. 2.9326, skate_ratio. 0.0521, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0479 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0095 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0262 
ep/it:1220-  39 niter:467300  2445m 52s (- 561m 5s) completed: 81%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0439  acc: 0.6011  lr: 0.0000 
ep/it:1220-  89 niter:467350  2446m 7s (- 560m 49s) completed: 81%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0454  acc: 0.6078  lr: 0.0000 
ep/it:1220- 139 niter:467400  2446m 21s (- 560m 33s) completed: 81%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0448  acc: 0.5980  lr: 0.0000 
ep/it:1220- 189 niter:467450  2446m 37s (- 560m 17s) completed: 81%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0447  acc: 0.6010  lr: 0.0000 
ep/it:1220- 239 niter:467500  2446m 52s (- 560m 1s) completed: 81%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0452  acc: 0.6041  lr: 0.0000 
ep/it:1220- 289 niter:467550  2447m 7s (- 559m 46s) completed: 81%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0437  acc: 0.5977  lr: 0.0000 
ep/it:1220- 339 niter:467600  2447m 21s (- 559m 30s) completed: 81%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0448  acc: 0.5981  lr: 0.0000 
Validation loss:1.603, accuracy:0.560
ep/it:1221-   6 niter:467650  2447m 39s (- 559m 14s) completed: 81%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0454  acc: 0.5996  lr: 0.0000 
ep/it:1221-  56 niter:467700  2447m 53s (- 558m 58s) completed: 81%) loss_emb: 0.0000  loss: 1.3532  loss_TTT: 0.0446  acc: 0.6068  lr: 0.0000 
ep/it:1221- 106 niter:467750  2448m 7s (- 558m 42s) completed: 81%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0458  acc: 0.6031  lr: 0.0000 
ep/it:1221- 156 niter:467800  2448m 22s (- 558m 26s) completed: 81%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0449  acc: 0.6055  lr: 0.0000 
ep/it:1221- 206 niter:467850  2448m 36s (- 558m 10s) completed: 81%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0456  acc: 0.6008  lr: 0.0000 
ep/it:1221- 256 niter:467900  2448m 51s (- 557m 54s) completed: 81%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0454  acc: 0.6031  lr: 0.0000 
ep/it:1221- 306 niter:467950  2449m 6s (- 557m 38s) completed: 81%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0437  acc: 0.6052  lr: 0.0000 
ep/it:1221- 356 niter:468000  2449m 20s (- 557m 22s) completed: 81%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0441  acc: 0.5950  lr: 0.0000 
Validation loss:1.551, accuracy:0.573
ep/it:1222-  23 niter:468050  2449m 38s (- 557m 7s) completed: 81%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0450  acc: 0.6044  lr: 0.0000 
ep/it:1222-  73 niter:468100  2449m 52s (- 556m 51s) completed: 81%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0464  acc: 0.5954  lr: 0.0000 
ep/it:1222- 123 niter:468150  2450m 6s (- 556m 35s) completed: 81%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0445  acc: 0.6039  lr: 0.0000 
ep/it:1222- 173 niter:468200  2450m 20s (- 556m 19s) completed: 81%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0439  acc: 0.5969  lr: 0.0000 
ep/it:1222- 223 niter:468250  2450m 34s (- 556m 3s) completed: 81%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0445  acc: 0.5974  lr: 0.0000 
ep/it:1222- 273 niter:468300  2450m 48s (- 555m 47s) completed: 81%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0459  acc: 0.6029  lr: 0.0000 
ep/it:1222- 323 niter:468350  2451m 2s (- 555m 31s) completed: 81%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0453  acc: 0.5982  lr: 0.0000 
ep/it:1222- 373 niter:468400  2451m 16s (- 555m 15s) completed: 81%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0440  acc: 0.5969  lr: 0.0000 
Validation loss:1.581, accuracy:0.566
ep/it:1223-  40 niter:468450  2451m 33s (- 554m 59s) completed: 81%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0452  acc: 0.5977  lr: 0.0000 
ep/it:1223-  90 niter:468500  2451m 47s (- 554m 43s) completed: 81%) loss_emb: 0.0000  loss: 1.3287  loss_TTT: 0.0424  acc: 0.6123  lr: 0.0000 
ep/it:1223- 140 niter:468550  2452m 1s (- 554m 27s) completed: 81%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0445  acc: 0.5981  lr: 0.0000 
ep/it:1223- 190 niter:468600  2452m 16s (- 554m 11s) completed: 81%) loss_emb: 0.0000  loss: 1.3433  loss_TTT: 0.0433  acc: 0.6083  lr: 0.0000 
ep/it:1223- 240 niter:468650  2452m 30s (- 553m 55s) completed: 81%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0463  acc: 0.5958  lr: 0.0000 
ep/it:1223- 290 niter:468700  2452m 45s (- 553m 39s) completed: 81%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0443  acc: 0.5982  lr: 0.0000 
ep/it:1223- 340 niter:468750  2453m 0s (- 553m 23s) completed: 81%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0459  acc: 0.5999  lr: 0.0000 
Validation loss:1.565, accuracy:0.567
ep/it:1224-   7 niter:468800  2453m 17s (- 553m 8s) completed: 81%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0445  acc: 0.6012  lr: 0.0000 
ep/it:1224-  57 niter:468850  2453m 32s (- 552m 52s) completed: 81%) loss_emb: 0.0000  loss: 1.3266  loss_TTT: 0.0453  acc: 0.6138  lr: 0.0000 
ep/it:1224- 107 niter:468900  2453m 46s (- 552m 36s) completed: 81%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0460  acc: 0.5999  lr: 0.0000 
ep/it:1224- 157 niter:468950  2454m 0s (- 552m 20s) completed: 81%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0453  acc: 0.6043  lr: 0.0000 
ep/it:1224- 207 niter:469000  2454m 15s (- 552m 4s) completed: 81%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0453  acc: 0.6020  lr: 0.0000 
ep/it:1224- 257 niter:469050  2454m 30s (- 551m 48s) completed: 81%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0463  acc: 0.6051  lr: 0.0000 
ep/it:1224- 307 niter:469100  2454m 45s (- 551m 32s) completed: 81%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0449  acc: 0.6007  lr: 0.0000 
ep/it:1224- 357 niter:469150  2454m 59s (- 551m 16s) completed: 81%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0438  acc: 0.6029  lr: 0.0000 
Validation loss:1.595, accuracy:0.563
ep/it:1225-  24 niter:469200  2455m 16s (- 551m 1s) completed: 81%) loss_emb: 0.0000  loss: 1.3456  loss_TTT: 0.0439  acc: 0.6075  lr: 0.0000 
ep/it:1225-  74 niter:469250  2455m 30s (- 550m 45s) completed: 81%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0453  acc: 0.6020  lr: 0.0000 
ep/it:1225- 124 niter:469300  2455m 44s (- 550m 29s) completed: 81%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0460  acc: 0.5898  lr: 0.0000 
ep/it:1225- 174 niter:469350  2455m 58s (- 550m 13s) completed: 81%) loss_emb: 0.0000  loss: 1.3546  loss_TTT: 0.0428  acc: 0.6063  lr: 0.0000 
ep/it:1225- 224 niter:469400  2456m 12s (- 549m 57s) completed: 81%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0449  acc: 0.6008  lr: 0.0000 
ep/it:1225- 274 niter:469450  2456m 26s (- 549m 41s) completed: 81%) loss_emb: 0.0000  loss: 1.3474  loss_TTT: 0.0441  acc: 0.6064  lr: 0.0000 
ep/it:1225- 324 niter:469500  2456m 41s (- 549m 25s) completed: 81%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0445  acc: 0.6071  lr: 0.0000 
ep/it:1225- 374 niter:469550  2456m 56s (- 549m 9s) completed: 81%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0455  acc: 0.5986  lr: 0.0000 
Validation loss:1.541, accuracy:0.576
ep/it:1226-  41 niter:469600  2457m 13s (- 548m 53s) completed: 81%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0448  acc: 0.5971  lr: 0.0000 
ep/it:1226-  91 niter:469650  2457m 27s (- 548m 37s) completed: 81%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0468  acc: 0.5993  lr: 0.0000 
ep/it:1226- 141 niter:469700  2457m 41s (- 548m 21s) completed: 81%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0466  acc: 0.5978  lr: 0.0000 
ep/it:1226- 191 niter:469750  2457m 55s (- 548m 5s) completed: 81%) loss_emb: 0.0000  loss: 1.3411  loss_TTT: 0.0442  acc: 0.6078  lr: 0.0000 
ep/it:1226- 241 niter:469800  2458m 9s (- 547m 49s) completed: 81%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0466  acc: 0.6031  lr: 0.0000 
ep/it:1226- 291 niter:469850  2458m 23s (- 547m 33s) completed: 81%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0433  acc: 0.6055  lr: 0.0000 
ep/it:1226- 341 niter:469900  2458m 37s (- 547m 17s) completed: 81%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0452  acc: 0.6039  lr: 0.0000 
Validation loss:1.597, accuracy:0.564
ep/it:1227-   8 niter:469950  2458m 54s (- 547m 2s) completed: 81%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0442  acc: 0.5998  lr: 0.0000 
ep/it:1227-  58 niter:470000  2459m 8s (- 546m 46s) completed: 81%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0471  acc: 0.5955  lr: 0.0000 
ep/it:1227- 108 niter:470050  2459m 23s (- 546m 30s) completed: 81%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0455  acc: 0.6033  lr: 0.0000 
ep/it:1227- 158 niter:470100  2459m 37s (- 546m 13s) completed: 81%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0444  acc: 0.5977  lr: 0.0000 
ep/it:1227- 208 niter:470150  2459m 51s (- 545m 57s) completed: 81%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0459  acc: 0.5987  lr: 0.0000 
ep/it:1227- 258 niter:470200  2460m 5s (- 545m 41s) completed: 81%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0442  acc: 0.5974  lr: 0.0000 
ep/it:1227- 308 niter:470250  2460m 19s (- 545m 25s) completed: 81%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0433  acc: 0.6016  lr: 0.0000 
ep/it:1227- 358 niter:470300  2460m 33s (- 545m 9s) completed: 81%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0443  acc: 0.6038  lr: 0.0000 
Validation loss:1.550, accuracy:0.573
ep/it:1228-  25 niter:470350  2460m 50s (- 544m 54s) completed: 81%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0452  acc: 0.5999  lr: 0.0000 
ep/it:1228-  75 niter:470400  2461m 4s (- 544m 38s) completed: 81%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0452  acc: 0.6039  lr: 0.0000 
ep/it:1228- 125 niter:470450  2461m 18s (- 544m 22s) completed: 81%) loss_emb: 0.0000  loss: 1.3567  loss_TTT: 0.0439  acc: 0.6044  lr: 0.0000 
ep/it:1228- 175 niter:470500  2461m 32s (- 544m 6s) completed: 81%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0462  acc: 0.6046  lr: 0.0000 
ep/it:1228- 225 niter:470550  2461m 47s (- 543m 50s) completed: 81%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0453  acc: 0.5982  lr: 0.0000 
ep/it:1228- 275 niter:470600  2462m 2s (- 543m 34s) completed: 81%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0437  acc: 0.6053  lr: 0.0000 
ep/it:1228- 325 niter:470650  2462m 16s (- 543m 18s) completed: 81%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0431  acc: 0.5954  lr: 0.0000 
ep/it:1228- 375 niter:470700  2462m 30s (- 543m 2s) completed: 81%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0447  acc: 0.5960  lr: 0.0000 
Validation loss:1.588, accuracy:0.565
ep/it:1229-  42 niter:470750  2462m 47s (- 542m 46s) completed: 81%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0454  acc: 0.6009  lr: 0.0000 
ep/it:1229-  92 niter:470800  2463m 1s (- 542m 30s) completed: 81%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0446  acc: 0.5926  lr: 0.0000 
ep/it:1229- 142 niter:470850  2463m 15s (- 542m 14s) completed: 81%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0438  acc: 0.6029  lr: 0.0000 
ep/it:1229- 192 niter:470900  2463m 29s (- 541m 58s) completed: 81%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0455  acc: 0.5988  lr: 0.0000 
ep/it:1229- 242 niter:470950  2463m 43s (- 541m 42s) completed: 81%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0432  acc: 0.5975  lr: 0.0000 
ep/it:1229- 292 niter:471000  2463m 57s (- 541m 26s) completed: 81%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0438  acc: 0.6019  lr: 0.0000 
ep/it:1229- 342 niter:471050  2464m 12s (- 541m 10s) completed: 81%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0462  acc: 0.5971  lr: 0.0000 
Validation loss:1.565, accuracy:0.569

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.84it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.47296149563044 avg: 38.47296149563044
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.79312981199473 avg: 38.63304565381259
--> 	 Eva. Repeat 0 :, FID. 0.0711, Diversity Real. 9.5468, Diversity. 9.7289, R_precision_real. [0.48828125 0.70507812 0.80371094], R_precision. [0.49414062 0.68945312 0.77929688], matching_score_real. 2.9650, matching_score_pred. 3.0219, skate_ratio. 0.0473, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0596 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0126 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0272 
ep/it:1230-   9 niter:471100  2465m 48s (- 541m 12s) completed: 82%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0446  acc: 0.6063  lr: 0.0000 
ep/it:1230-  59 niter:471150  2466m 2s (- 540m 56s) completed: 82%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0457  acc: 0.6017  lr: 0.0000 
ep/it:1230- 109 niter:471200  2466m 16s (- 540m 40s) completed: 82%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0445  acc: 0.5957  lr: 0.0000 
ep/it:1230- 159 niter:471250  2466m 30s (- 540m 24s) completed: 82%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0459  acc: 0.5967  lr: 0.0000 
ep/it:1230- 209 niter:471300  2466m 44s (- 540m 8s) completed: 82%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0435  acc: 0.6085  lr: 0.0000 
ep/it:1230- 259 niter:471350  2466m 58s (- 539m 52s) completed: 82%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0435  acc: 0.5993  lr: 0.0000 
ep/it:1230- 309 niter:471400  2467m 12s (- 539m 36s) completed: 82%) loss_emb: 0.0000  loss: 1.3441  loss_TTT: 0.0453  acc: 0.6076  lr: 0.0000 
ep/it:1230- 359 niter:471450  2467m 26s (- 539m 20s) completed: 82%) loss_emb: 0.0000  loss: 1.3403  loss_TTT: 0.0443  acc: 0.6085  lr: 0.0000 
Validation loss:1.584, accuracy:0.565
ep/it:1231-  26 niter:471500  2467m 43s (- 539m 4s) completed: 82%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0456  acc: 0.6004  lr: 0.0000 
ep/it:1231-  76 niter:471550  2467m 57s (- 538m 48s) completed: 82%) loss_emb: 0.0000  loss: 1.3278  loss_TTT: 0.0443  acc: 0.6128  lr: 0.0000 
ep/it:1231- 126 niter:471600  2468m 11s (- 538m 32s) completed: 82%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0452  acc: 0.6010  lr: 0.0000 
ep/it:1231- 176 niter:471650  2468m 26s (- 538m 16s) completed: 82%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0444  acc: 0.6034  lr: 0.0000 
ep/it:1231- 226 niter:471700  2468m 40s (- 538m 0s) completed: 82%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0445  acc: 0.5999  lr: 0.0000 
ep/it:1231- 276 niter:471750  2468m 54s (- 537m 44s) completed: 82%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0442  acc: 0.6013  lr: 0.0000 
ep/it:1231- 326 niter:471800  2469m 8s (- 537m 28s) completed: 82%) loss_emb: 0.0000  loss: 1.3553  loss_TTT: 0.0432  acc: 0.6034  lr: 0.0000 
ep/it:1231- 376 niter:471850  2469m 22s (- 537m 12s) completed: 82%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0452  acc: 0.6032  lr: 0.0000 
Validation loss:1.532, accuracy:0.577
ep/it:1232-  43 niter:471900  2469m 39s (- 536m 56s) completed: 82%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0438  acc: 0.6038  lr: 0.0000 
ep/it:1232-  93 niter:471950  2469m 53s (- 536m 40s) completed: 82%) loss_emb: 0.0000  loss: 1.3427  loss_TTT: 0.0433  acc: 0.6092  lr: 0.0000 
ep/it:1232- 143 niter:472000  2470m 7s (- 536m 24s) completed: 82%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0455  acc: 0.6000  lr: 0.0000 
ep/it:1232- 193 niter:472050  2470m 21s (- 536m 8s) completed: 82%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0452  acc: 0.6000  lr: 0.0000 
ep/it:1232- 243 niter:472100  2470m 36s (- 535m 52s) completed: 82%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0454  acc: 0.6002  lr: 0.0000 
ep/it:1232- 293 niter:472150  2470m 50s (- 535m 36s) completed: 82%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0447  acc: 0.6010  lr: 0.0000 
ep/it:1232- 343 niter:472200  2471m 4s (- 535m 20s) completed: 82%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0463  acc: 0.6033  lr: 0.0000 
Validation loss:1.545, accuracy:0.574
ep/it:1233-  10 niter:472250  2471m 20s (- 535m 5s) completed: 82%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0433  acc: 0.6015  lr: 0.0000 
ep/it:1233-  60 niter:472300  2471m 34s (- 534m 49s) completed: 82%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0450  acc: 0.6009  lr: 0.0000 
ep/it:1233- 110 niter:472350  2471m 49s (- 534m 33s) completed: 82%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0448  acc: 0.5964  lr: 0.0000 
ep/it:1233- 160 niter:472400  2472m 3s (- 534m 17s) completed: 82%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0440  acc: 0.6056  lr: 0.0000 
ep/it:1233- 210 niter:472450  2472m 16s (- 534m 1s) completed: 82%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0441  acc: 0.6064  lr: 0.0000 
ep/it:1233- 260 niter:472500  2472m 30s (- 533m 44s) completed: 82%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0450  acc: 0.6086  lr: 0.0000 
ep/it:1233- 310 niter:472550  2472m 45s (- 533m 28s) completed: 82%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0449  acc: 0.6042  lr: 0.0000 
ep/it:1233- 360 niter:472600  2472m 59s (- 533m 12s) completed: 82%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0456  acc: 0.6045  lr: 0.0000 
Validation loss:1.594, accuracy:0.562
ep/it:1234-  27 niter:472650  2473m 16s (- 532m 57s) completed: 82%) loss_emb: 0.0000  loss: 1.3384  loss_TTT: 0.0443  acc: 0.6088  lr: 0.0000 
ep/it:1234-  77 niter:472700  2473m 30s (- 532m 41s) completed: 82%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0449  acc: 0.5986  lr: 0.0000 
ep/it:1234- 127 niter:472750  2473m 44s (- 532m 25s) completed: 82%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0439  acc: 0.6058  lr: 0.0000 
ep/it:1234- 177 niter:472800  2473m 58s (- 532m 9s) completed: 82%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0460  acc: 0.6004  lr: 0.0000 
ep/it:1234- 227 niter:472850  2474m 12s (- 531m 53s) completed: 82%) loss_emb: 0.0000  loss: 1.3503  loss_TTT: 0.0426  acc: 0.6075  lr: 0.0000 
ep/it:1234- 277 niter:472900  2474m 26s (- 531m 37s) completed: 82%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0438  acc: 0.5975  lr: 0.0000 
ep/it:1234- 327 niter:472950  2474m 40s (- 531m 21s) completed: 82%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0447  acc: 0.6008  lr: 0.0000 
ep/it:1234- 377 niter:473000  2474m 54s (- 531m 5s) completed: 82%) loss_emb: 0.0000  loss: 1.3494  loss_TTT: 0.0449  acc: 0.6077  lr: 0.0000 
Validation loss:1.570, accuracy:0.570
ep/it:1235-  44 niter:473050  2475m 10s (- 530m 49s) completed: 82%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0442  acc: 0.5983  lr: 0.0000 
ep/it:1235-  94 niter:473100  2475m 25s (- 530m 33s) completed: 82%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0445  acc: 0.6061  lr: 0.0000 
ep/it:1235- 144 niter:473150  2475m 39s (- 530m 17s) completed: 82%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0458  acc: 0.6026  lr: 0.0000 
ep/it:1235- 194 niter:473200  2475m 53s (- 530m 1s) completed: 82%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0465  acc: 0.6020  lr: 0.0000 
ep/it:1235- 244 niter:473250  2476m 7s (- 529m 45s) completed: 82%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0471  acc: 0.6020  lr: 0.0000 
ep/it:1235- 294 niter:473300  2476m 21s (- 529m 29s) completed: 82%) loss_emb: 0.0000  loss: 1.3490  loss_TTT: 0.0432  acc: 0.6068  lr: 0.0000 
ep/it:1235- 344 niter:473350  2476m 35s (- 529m 13s) completed: 82%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0451  acc: 0.6001  lr: 0.0000 
Validation loss:1.584, accuracy:0.567
ep/it:1236-  11 niter:473400  2476m 51s (- 528m 57s) completed: 82%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0453  acc: 0.5993  lr: 0.0000 
ep/it:1236-  61 niter:473450  2477m 5s (- 528m 41s) completed: 82%) loss_emb: 0.0000  loss: 1.3443  loss_TTT: 0.0449  acc: 0.6085  lr: 0.0000 
ep/it:1236- 111 niter:473500  2477m 19s (- 528m 25s) completed: 82%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0448  acc: 0.6015  lr: 0.0000 
ep/it:1236- 161 niter:473550  2477m 34s (- 528m 9s) completed: 82%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0458  acc: 0.5986  lr: 0.0000 
ep/it:1236- 211 niter:473600  2477m 48s (- 527m 53s) completed: 82%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0459  acc: 0.6003  lr: 0.0000 
ep/it:1236- 261 niter:473650  2478m 2s (- 527m 37s) completed: 82%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0439  acc: 0.6025  lr: 0.0000 
ep/it:1236- 311 niter:473700  2478m 16s (- 527m 21s) completed: 82%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0437  acc: 0.6029  lr: 0.0000 
ep/it:1236- 361 niter:473750  2478m 30s (- 527m 5s) completed: 82%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0462  acc: 0.6048  lr: 0.0000 
Validation loss:1.591, accuracy:0.563
ep/it:1237-  28 niter:473800  2478m 47s (- 526m 50s) completed: 82%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0437  acc: 0.6038  lr: 0.0000 
ep/it:1237-  78 niter:473850  2479m 1s (- 526m 34s) completed: 82%) loss_emb: 0.0000  loss: 1.3439  loss_TTT: 0.0444  acc: 0.6069  lr: 0.0000 
ep/it:1237- 128 niter:473900  2479m 16s (- 526m 18s) completed: 82%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0466  acc: 0.6034  lr: 0.0000 
ep/it:1237- 178 niter:473950  2479m 31s (- 526m 2s) completed: 82%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0447  acc: 0.5981  lr: 0.0000 
ep/it:1237- 228 niter:474000  2479m 45s (- 525m 46s) completed: 82%) loss_emb: 0.0000  loss: 1.3411  loss_TTT: 0.0458  acc: 0.6085  lr: 0.0000 
ep/it:1237- 278 niter:474050  2480m 0s (- 525m 30s) completed: 82%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0450  acc: 0.6036  lr: 0.0000 
ep/it:1237- 328 niter:474100  2480m 15s (- 525m 14s) completed: 82%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0443  acc: 0.5958  lr: 0.0000 
ep/it:1237- 378 niter:474150  2480m 29s (- 524m 58s) completed: 82%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0445  acc: 0.6011  lr: 0.0000 
Validation loss:1.588, accuracy:0.563
ep/it:1238-  45 niter:474200  2480m 46s (- 524m 43s) completed: 82%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0440  acc: 0.5955  lr: 0.0000 
ep/it:1238-  95 niter:474250  2481m 0s (- 524m 27s) completed: 82%) loss_emb: 0.0000  loss: 1.3310  loss_TTT: 0.0445  acc: 0.6107  lr: 0.0000 
ep/it:1238- 145 niter:474300  2481m 14s (- 524m 11s) completed: 82%) loss_emb: 0.0000  loss: 1.3395  loss_TTT: 0.0447  acc: 0.6108  lr: 0.0000 
ep/it:1238- 195 niter:474350  2481m 28s (- 523m 55s) completed: 82%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0430  acc: 0.5972  lr: 0.0000 
ep/it:1238- 245 niter:474400  2481m 42s (- 523m 39s) completed: 82%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0459  acc: 0.6056  lr: 0.0000 
ep/it:1238- 295 niter:474450  2481m 56s (- 523m 22s) completed: 82%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0470  acc: 0.5947  lr: 0.0000 
ep/it:1238- 345 niter:474500  2482m 10s (- 523m 6s) completed: 82%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0460  acc: 0.6008  lr: 0.0000 
Validation loss:1.597, accuracy:0.560
ep/it:1239-  12 niter:474550  2482m 27s (- 522m 51s) completed: 82%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0443  acc: 0.6028  lr: 0.0000 
ep/it:1239-  62 niter:474600  2482m 42s (- 522m 35s) completed: 82%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0441  acc: 0.6051  lr: 0.0000 
ep/it:1239- 112 niter:474650  2482m 56s (- 522m 19s) completed: 82%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0436  acc: 0.6034  lr: 0.0000 
ep/it:1239- 162 niter:474700  2483m 10s (- 522m 3s) completed: 82%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0443  acc: 0.5991  lr: 0.0000 
ep/it:1239- 212 niter:474750  2483m 24s (- 521m 47s) completed: 82%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0450  acc: 0.5977  lr: 0.0000 
ep/it:1239- 262 niter:474800  2483m 38s (- 521m 31s) completed: 82%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0444  acc: 0.6029  lr: 0.0000 
ep/it:1239- 312 niter:474850  2483m 52s (- 521m 15s) completed: 82%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0441  acc: 0.6025  lr: 0.0000 
ep/it:1239- 362 niter:474900  2484m 6s (- 520m 59s) completed: 82%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0458  acc: 0.6030  lr: 0.0000 
Validation loss:1.609, accuracy:0.559

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.70it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.64274535700679 avg: 38.64274535700679
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.62681069690734 avg: 38.634778026957065
--> 	 Eva. Repeat 0 :, FID. 0.0986, Diversity Real. 9.5720, Diversity. 9.8811, R_precision_real. [0.50976562 0.70703125 0.79492188], R_precision. [0.5234375  0.70703125 0.79882812], matching_score_real. 2.8816, matching_score_pred. 2.8971, skate_ratio. 0.0460, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0391 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0093 (kps_fail_50cm (Loc. err)): 0.0003 (kps_mean_err(m) (Avg. err)): 0.0259 
ep/it:1240-  29 niter:474950  2485m 42s (- 521m 0s) completed: 82%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0451  acc: 0.6021  lr: 0.0000 
ep/it:1240-  79 niter:475000  2485m 57s (- 520m 44s) completed: 82%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0433  acc: 0.6032  lr: 0.0000 
ep/it:1240- 129 niter:475050  2486m 11s (- 520m 28s) completed: 82%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0445  acc: 0.6045  lr: 0.0000 
ep/it:1240- 179 niter:475100  2486m 26s (- 520m 12s) completed: 82%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0446  acc: 0.6001  lr: 0.0000 
ep/it:1240- 229 niter:475150  2486m 40s (- 519m 56s) completed: 82%) loss_emb: 0.0000  loss: 1.3436  loss_TTT: 0.0432  acc: 0.6082  lr: 0.0000 
ep/it:1240- 279 niter:475200  2486m 55s (- 519m 40s) completed: 82%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0457  acc: 0.5949  lr: 0.0000 
ep/it:1240- 329 niter:475250  2487m 9s (- 519m 24s) completed: 82%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0436  acc: 0.5970  lr: 0.0000 
ep/it:1240- 379 niter:475300  2487m 24s (- 519m 8s) completed: 82%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0442  acc: 0.6007  lr: 0.0000 
Validation loss:1.551, accuracy:0.573
ep/it:1241-  46 niter:475350  2487m 41s (- 518m 53s) completed: 82%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0460  acc: 0.5942  lr: 0.0000 
ep/it:1241-  96 niter:475400  2487m 55s (- 518m 37s) completed: 82%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0426  acc: 0.5975  lr: 0.0000 
ep/it:1241- 146 niter:475450  2488m 9s (- 518m 21s) completed: 82%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0439  acc: 0.5984  lr: 0.0000 
ep/it:1241- 196 niter:475500  2488m 24s (- 518m 5s) completed: 82%) loss_emb: 0.0000  loss: 1.3392  loss_TTT: 0.0438  acc: 0.6085  lr: 0.0000 
ep/it:1241- 246 niter:475550  2488m 38s (- 517m 49s) completed: 82%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0438  acc: 0.5951  lr: 0.0000 
ep/it:1241- 296 niter:475600  2488m 52s (- 517m 33s) completed: 82%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0432  acc: 0.5977  lr: 0.0000 
ep/it:1241- 346 niter:475650  2489m 6s (- 517m 17s) completed: 82%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0453  acc: 0.5962  lr: 0.0000 
Validation loss:1.571, accuracy:0.568
ep/it:1242-  13 niter:475700  2489m 23s (- 517m 1s) completed: 82%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0445  acc: 0.6057  lr: 0.0000 
ep/it:1242-  63 niter:475750  2489m 37s (- 516m 45s) completed: 82%) loss_emb: 0.0000  loss: 1.3352  loss_TTT: 0.0438  acc: 0.6110  lr: 0.0000 
ep/it:1242- 113 niter:475800  2489m 51s (- 516m 29s) completed: 82%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0443  acc: 0.6029  lr: 0.0000 
ep/it:1242- 163 niter:475850  2490m 5s (- 516m 13s) completed: 82%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0457  acc: 0.6052  lr: 0.0000 
ep/it:1242- 213 niter:475900  2490m 19s (- 515m 57s) completed: 82%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0445  acc: 0.6046  lr: 0.0000 
ep/it:1242- 263 niter:475950  2490m 34s (- 515m 41s) completed: 82%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0436  acc: 0.6042  lr: 0.0000 
ep/it:1242- 313 niter:476000  2490m 48s (- 515m 25s) completed: 82%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0454  acc: 0.5972  lr: 0.0000 
ep/it:1242- 363 niter:476050  2491m 2s (- 515m 9s) completed: 82%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0454  acc: 0.6017  lr: 0.0000 
Validation loss:1.534, accuracy:0.577
ep/it:1243-  30 niter:476100  2491m 19s (- 514m 54s) completed: 82%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0461  acc: 0.5974  lr: 0.0000 
ep/it:1243-  80 niter:476150  2491m 34s (- 514m 38s) completed: 82%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0453  acc: 0.5988  lr: 0.0000 
ep/it:1243- 130 niter:476200  2491m 48s (- 514m 22s) completed: 82%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0442  acc: 0.5993  lr: 0.0000 
ep/it:1243- 180 niter:476250  2492m 3s (- 514m 6s) completed: 82%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0439  acc: 0.5992  lr: 0.0000 
ep/it:1243- 230 niter:476300  2492m 18s (- 513m 50s) completed: 82%) loss_emb: 0.0000  loss: 1.3690  loss_TTT: 0.0445  acc: 0.6011  lr: 0.0000 
ep/it:1243- 280 niter:476350  2492m 33s (- 513m 34s) completed: 82%) loss_emb: 0.0000  loss: 1.3491  loss_TTT: 0.0447  acc: 0.6068  lr: 0.0000 
ep/it:1243- 330 niter:476400  2492m 48s (- 513m 18s) completed: 82%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0460  acc: 0.5983  lr: 0.0000 
ep/it:1243- 380 niter:476450  2493m 3s (- 513m 3s) completed: 82%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0435  acc: 0.5998  lr: 0.0000 
Validation loss:1.596, accuracy:0.563
ep/it:1244-  47 niter:476500  2493m 21s (- 512m 47s) completed: 82%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0440  acc: 0.6027  lr: 0.0000 
ep/it:1244-  97 niter:476550  2493m 36s (- 512m 32s) completed: 82%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0449  acc: 0.6044  lr: 0.0000 
ep/it:1244- 147 niter:476600  2493m 51s (- 512m 16s) completed: 82%) loss_emb: 0.0000  loss: 1.3553  loss_TTT: 0.0453  acc: 0.6058  lr: 0.0000 
ep/it:1244- 197 niter:476650  2494m 5s (- 512m 0s) completed: 82%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0457  acc: 0.6008  lr: 0.0000 
ep/it:1244- 247 niter:476700  2494m 20s (- 511m 44s) completed: 82%) loss_emb: 0.0000  loss: 1.3413  loss_TTT: 0.0445  acc: 0.6087  lr: 0.0000 
ep/it:1244- 297 niter:476750  2494m 35s (- 511m 28s) completed: 82%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0427  acc: 0.5993  lr: 0.0000 
ep/it:1244- 347 niter:476800  2494m 50s (- 511m 12s) completed: 82%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0455  acc: 0.6040  lr: 0.0000 
Validation loss:1.536, accuracy:0.576
ep/it:1245-  14 niter:476850  2495m 7s (- 510m 57s) completed: 83%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0450  acc: 0.5949  lr: 0.0000 
ep/it:1245-  64 niter:476900  2495m 21s (- 510m 41s) completed: 83%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0446  acc: 0.6058  lr: 0.0000 
ep/it:1245- 114 niter:476950  2495m 35s (- 510m 25s) completed: 83%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0445  acc: 0.5991  lr: 0.0000 
ep/it:1245- 164 niter:477000  2495m 49s (- 510m 9s) completed: 83%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0445  acc: 0.6043  lr: 0.0000 
ep/it:1245- 214 niter:477050  2496m 4s (- 509m 53s) completed: 83%) loss_emb: 0.0000  loss: 1.3447  loss_TTT: 0.0452  acc: 0.6085  lr: 0.0000 
ep/it:1245- 264 niter:477100  2496m 18s (- 509m 37s) completed: 83%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0441  acc: 0.6027  lr: 0.0000 
ep/it:1245- 314 niter:477150  2496m 32s (- 509m 21s) completed: 83%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0441  acc: 0.6021  lr: 0.0000 
ep/it:1245- 364 niter:477200  2496m 47s (- 509m 5s) completed: 83%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0439  acc: 0.6014  lr: 0.0000 
Validation loss:1.503, accuracy:0.585
ep/it:1246-  31 niter:477250  2497m 3s (- 508m 49s) completed: 83%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0450  acc: 0.5984  lr: 0.0000 
ep/it:1246-  81 niter:477300  2497m 18s (- 508m 33s) completed: 83%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0435  acc: 0.6008  lr: 0.0000 
ep/it:1246- 131 niter:477350  2497m 32s (- 508m 17s) completed: 83%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0444  acc: 0.5973  lr: 0.0000 
ep/it:1246- 181 niter:477400  2497m 47s (- 508m 2s) completed: 83%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0457  acc: 0.6020  lr: 0.0000 
ep/it:1246- 231 niter:477450  2498m 1s (- 507m 46s) completed: 83%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0448  acc: 0.6034  lr: 0.0000 
ep/it:1246- 281 niter:477500  2498m 15s (- 507m 30s) completed: 83%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0441  acc: 0.6020  lr: 0.0000 
ep/it:1246- 331 niter:477550  2498m 30s (- 507m 14s) completed: 83%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0443  acc: 0.6079  lr: 0.0000 
ep/it:1246- 381 niter:477600  2498m 44s (- 506m 58s) completed: 83%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0446  acc: 0.6048  lr: 0.0000 
Validation loss:1.592, accuracy:0.563
ep/it:1247-  48 niter:477650  2499m 1s (- 506m 42s) completed: 83%) loss_emb: 0.0000  loss: 1.3304  loss_TTT: 0.0450  acc: 0.6127  lr: 0.0000 
ep/it:1247-  98 niter:477700  2499m 15s (- 506m 26s) completed: 83%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0451  acc: 0.6017  lr: 0.0000 
ep/it:1247- 148 niter:477750  2499m 29s (- 506m 10s) completed: 83%) loss_emb: 0.0000  loss: 1.3487  loss_TTT: 0.0461  acc: 0.6069  lr: 0.0000 
ep/it:1247- 198 niter:477800  2499m 43s (- 505m 54s) completed: 83%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0439  acc: 0.6045  lr: 0.0000 
ep/it:1247- 248 niter:477850  2499m 57s (- 505m 38s) completed: 83%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0463  acc: 0.6042  lr: 0.0000 
ep/it:1247- 298 niter:477900  2500m 12s (- 505m 22s) completed: 83%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0448  acc: 0.6018  lr: 0.0000 
ep/it:1247- 348 niter:477950  2500m 26s (- 505m 6s) completed: 83%) loss_emb: 0.0000  loss: 1.3377  loss_TTT: 0.0446  acc: 0.6095  lr: 0.0000 
Validation loss:1.573, accuracy:0.568
ep/it:1248-  15 niter:478000  2500m 43s (- 504m 51s) completed: 83%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0448  acc: 0.6007  lr: 0.0000 
ep/it:1248-  65 niter:478050  2500m 58s (- 504m 35s) completed: 83%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0444  acc: 0.5989  lr: 0.0000 
ep/it:1248- 115 niter:478100  2501m 12s (- 504m 19s) completed: 83%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0435  acc: 0.6032  lr: 0.0000 
ep/it:1248- 165 niter:478150  2501m 27s (- 504m 3s) completed: 83%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0446  acc: 0.6041  lr: 0.0000 
ep/it:1248- 215 niter:478200  2501m 41s (- 503m 47s) completed: 83%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0455  acc: 0.6035  lr: 0.0000 
ep/it:1248- 265 niter:478250  2501m 55s (- 503m 31s) completed: 83%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0450  acc: 0.5994  lr: 0.0000 
ep/it:1248- 315 niter:478300  2502m 9s (- 503m 15s) completed: 83%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0438  acc: 0.6046  lr: 0.0000 
ep/it:1248- 365 niter:478350  2502m 23s (- 502m 59s) completed: 83%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0451  acc: 0.5971  lr: 0.0000 
Validation loss:1.549, accuracy:0.574
ep/it:1249-  32 niter:478400  2502m 40s (- 502m 43s) completed: 83%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0449  acc: 0.6022  lr: 0.0000 
ep/it:1249-  82 niter:478450  2502m 54s (- 502m 27s) completed: 83%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0442  acc: 0.6034  lr: 0.0000 
ep/it:1249- 132 niter:478500  2503m 8s (- 502m 11s) completed: 83%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0436  acc: 0.6026  lr: 0.0000 
ep/it:1249- 182 niter:478550  2503m 23s (- 501m 56s) completed: 83%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0440  acc: 0.6030  lr: 0.0000 
ep/it:1249- 232 niter:478600  2503m 37s (- 501m 40s) completed: 83%) loss_emb: 0.0000  loss: 1.3541  loss_TTT: 0.0457  acc: 0.6067  lr: 0.0000 
ep/it:1249- 282 niter:478650  2503m 52s (- 501m 24s) completed: 83%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0429  acc: 0.5975  lr: 0.0000 
ep/it:1249- 332 niter:478700  2504m 6s (- 501m 8s) completed: 83%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0457  acc: 0.5990  lr: 0.0000 
ep/it:1249- 382 niter:478750  2504m 20s (- 500m 52s) completed: 83%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0467  acc: 0.6052  lr: 0.0000 
Validation loss:1.564, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.70it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.77008648123592 avg: 38.77008648123592
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.47296699602157 avg: 38.621526738628745
--> 	 Eva. Repeat 0 :, FID. 0.0815, Diversity Real. 9.6611, Diversity. 9.6728, R_precision_real. [0.50488281 0.68945312 0.79199219], R_precision. [0.48339844 0.68554688 0.78613281], matching_score_real. 2.9903, matching_score_pred. 3.0297, skate_ratio. 0.0439, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0420 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0059 (kps_fail_50cm (Loc. err)): 0.0003 (kps_mean_err(m) (Avg. err)): 0.0251 
ep/it:1250-  49 niter:478800  2505m 57s (- 500m 52s) completed: 83%) loss_emb: 0.0000  loss: 1.3476  loss_TTT: 0.0454  acc: 0.6067  lr: 0.0000 
ep/it:1250-  99 niter:478850  2506m 12s (- 500m 36s) completed: 83%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0469  acc: 0.6023  lr: 0.0000 
ep/it:1250- 149 niter:478900  2506m 27s (- 500m 20s) completed: 83%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0449  acc: 0.6009  lr: 0.0000 
ep/it:1250- 199 niter:478950  2506m 41s (- 500m 4s) completed: 83%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0427  acc: 0.6022  lr: 0.0000 
ep/it:1250- 249 niter:479000  2506m 55s (- 499m 48s) completed: 83%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0432  acc: 0.5991  lr: 0.0000 
ep/it:1250- 299 niter:479050  2507m 10s (- 499m 33s) completed: 83%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0447  acc: 0.6020  lr: 0.0000 
ep/it:1250- 349 niter:479100  2507m 25s (- 499m 17s) completed: 83%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0448  acc: 0.6036  lr: 0.0000 
Validation loss:1.582, accuracy:0.566
ep/it:1251-  16 niter:479150  2507m 42s (- 499m 1s) completed: 83%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0447  acc: 0.5945  lr: 0.0000 
ep/it:1251-  66 niter:479200  2507m 56s (- 498m 45s) completed: 83%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0438  acc: 0.5989  lr: 0.0000 
ep/it:1251- 116 niter:479250  2508m 10s (- 498m 29s) completed: 83%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0438  acc: 0.6011  lr: 0.0000 
ep/it:1251- 166 niter:479300  2508m 24s (- 498m 13s) completed: 83%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0447  acc: 0.6015  lr: 0.0000 
ep/it:1251- 216 niter:479350  2508m 38s (- 497m 57s) completed: 83%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0438  acc: 0.6036  lr: 0.0000 
ep/it:1251- 266 niter:479400  2508m 52s (- 497m 41s) completed: 83%) loss_emb: 0.0000  loss: 1.3451  loss_TTT: 0.0452  acc: 0.6086  lr: 0.0000 
ep/it:1251- 316 niter:479450  2509m 6s (- 497m 25s) completed: 83%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0446  acc: 0.6019  lr: 0.0000 
ep/it:1251- 366 niter:479500  2509m 20s (- 497m 9s) completed: 83%) loss_emb: 0.0000  loss: 1.3355  loss_TTT: 0.0434  acc: 0.6100  lr: 0.0000 
Validation loss:1.572, accuracy:0.568
ep/it:1252-  33 niter:479550  2509m 38s (- 496m 54s) completed: 83%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0434  acc: 0.6019  lr: 0.0000 
ep/it:1252-  83 niter:479600  2509m 52s (- 496m 38s) completed: 83%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0444  acc: 0.5983  lr: 0.0000 
ep/it:1252- 133 niter:479650  2510m 6s (- 496m 22s) completed: 83%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0448  acc: 0.6064  lr: 0.0000 
ep/it:1252- 183 niter:479700  2510m 21s (- 496m 6s) completed: 83%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0442  acc: 0.6015  lr: 0.0000 
ep/it:1252- 233 niter:479750  2510m 35s (- 495m 50s) completed: 83%) loss_emb: 0.0000  loss: 1.3496  loss_TTT: 0.0446  acc: 0.6067  lr: 0.0000 
ep/it:1252- 283 niter:479800  2510m 49s (- 495m 34s) completed: 83%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0440  acc: 0.5947  lr: 0.0000 
ep/it:1252- 333 niter:479850  2511m 3s (- 495m 18s) completed: 83%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0451  acc: 0.6029  lr: 0.0000 
Validation loss:1.546, accuracy:0.573
ep/it:1253-   0 niter:479900  2511m 19s (- 495m 2s) completed: 83%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0445  acc: 0.6013  lr: 0.0000 
ep/it:1253-  50 niter:479950  2511m 33s (- 494m 46s) completed: 83%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0441  acc: 0.5981  lr: 0.0000 
ep/it:1253- 100 niter:480000  2511m 48s (- 494m 30s) completed: 83%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0454  acc: 0.6019  lr: 0.0000 
ep/it:1253- 150 niter:480050  2512m 3s (- 494m 14s) completed: 83%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0448  acc: 0.5976  lr: 0.0000 
ep/it:1253- 200 niter:480100  2512m 17s (- 493m 58s) completed: 83%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0438  acc: 0.6044  lr: 0.0000 
ep/it:1253- 250 niter:480150  2512m 31s (- 493m 42s) completed: 83%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0436  acc: 0.5993  lr: 0.0000 
ep/it:1253- 300 niter:480200  2512m 45s (- 493m 26s) completed: 83%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0450  acc: 0.5969  lr: 0.0000 
ep/it:1253- 350 niter:480250  2513m 0s (- 493m 10s) completed: 83%) loss_emb: 0.0000  loss: 1.3458  loss_TTT: 0.0444  acc: 0.6065  lr: 0.0000 
Validation loss:1.547, accuracy:0.573
ep/it:1254-  17 niter:480300  2513m 16s (- 492m 55s) completed: 83%) loss_emb: 0.0000  loss: 1.3378  loss_TTT: 0.0442  acc: 0.6108  lr: 0.0000 
ep/it:1254-  67 niter:480350  2513m 30s (- 492m 39s) completed: 83%) loss_emb: 0.0000  loss: 1.3367  loss_TTT: 0.0443  acc: 0.6097  lr: 0.0000 
ep/it:1254- 117 niter:480400  2513m 44s (- 492m 23s) completed: 83%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0439  acc: 0.6031  lr: 0.0000 
ep/it:1254- 167 niter:480450  2513m 59s (- 492m 7s) completed: 83%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0452  acc: 0.6018  lr: 0.0000 
ep/it:1254- 217 niter:480500  2514m 13s (- 491m 51s) completed: 83%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0444  acc: 0.6053  lr: 0.0000 
ep/it:1254- 267 niter:480550  2514m 27s (- 491m 35s) completed: 83%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0439  acc: 0.6007  lr: 0.0000 
ep/it:1254- 317 niter:480600  2514m 41s (- 491m 19s) completed: 83%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0448  acc: 0.6044  lr: 0.0000 
ep/it:1254- 367 niter:480650  2514m 55s (- 491m 3s) completed: 83%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0461  acc: 0.5943  lr: 0.0000 
Validation loss:1.546, accuracy:0.577
ep/it:1255-  34 niter:480700  2515m 12s (- 490m 47s) completed: 83%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0440  acc: 0.6054  lr: 0.0000 
ep/it:1255-  84 niter:480750  2515m 26s (- 490m 31s) completed: 83%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0442  acc: 0.6012  lr: 0.0000 
ep/it:1255- 134 niter:480800  2515m 40s (- 490m 15s) completed: 83%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0458  acc: 0.6067  lr: 0.0000 
ep/it:1255- 184 niter:480850  2515m 54s (- 489m 59s) completed: 83%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0460  acc: 0.6006  lr: 0.0000 
ep/it:1255- 234 niter:480900  2516m 8s (- 489m 43s) completed: 83%) loss_emb: 0.0000  loss: 1.3746  loss_TTT: 0.0449  acc: 0.5988  lr: 0.0000 
ep/it:1255- 284 niter:480950  2516m 22s (- 489m 27s) completed: 83%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0461  acc: 0.6037  lr: 0.0000 
ep/it:1255- 334 niter:481000  2516m 36s (- 489m 11s) completed: 83%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0437  acc: 0.6018  lr: 0.0000 
Validation loss:1.549, accuracy:0.573
ep/it:1256-   1 niter:481050  2516m 53s (- 488m 56s) completed: 83%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0438  acc: 0.6022  lr: 0.0000 
ep/it:1256-  51 niter:481100  2517m 7s (- 488m 40s) completed: 83%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0455  acc: 0.6007  lr: 0.0000 
ep/it:1256- 101 niter:481150  2517m 21s (- 488m 24s) completed: 83%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0440  acc: 0.6091  lr: 0.0000 
ep/it:1256- 151 niter:481200  2517m 35s (- 488m 8s) completed: 83%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0450  acc: 0.5977  lr: 0.0000 
ep/it:1256- 201 niter:481250  2517m 49s (- 487m 52s) completed: 83%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0440  acc: 0.6019  lr: 0.0000 
ep/it:1256- 251 niter:481300  2518m 3s (- 487m 36s) completed: 83%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0444  acc: 0.6048  lr: 0.0000 
ep/it:1256- 301 niter:481350  2518m 17s (- 487m 20s) completed: 83%) loss_emb: 0.0000  loss: 1.3326  loss_TTT: 0.0445  acc: 0.6111  lr: 0.0000 
ep/it:1256- 351 niter:481400  2518m 31s (- 487m 4s) completed: 83%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0419  acc: 0.6044  lr: 0.0000 
Validation loss:1.576, accuracy:0.567
ep/it:1257-  18 niter:481450  2518m 47s (- 486m 48s) completed: 83%) loss_emb: 0.0000  loss: 1.3578  loss_TTT: 0.0444  acc: 0.6053  lr: 0.0000 
ep/it:1257-  68 niter:481500  2519m 1s (- 486m 32s) completed: 83%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0457  acc: 0.5996  lr: 0.0000 
ep/it:1257- 118 niter:481550  2519m 16s (- 486m 16s) completed: 83%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0463  acc: 0.6003  lr: 0.0000 
ep/it:1257- 168 niter:481600  2519m 30s (- 486m 0s) completed: 83%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0478  acc: 0.5952  lr: 0.0000 
ep/it:1257- 218 niter:481650  2519m 44s (- 485m 44s) completed: 83%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0471  acc: 0.6013  lr: 0.0000 
ep/it:1257- 268 niter:481700  2519m 58s (- 485m 28s) completed: 83%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0471  acc: 0.6022  lr: 0.0000 
ep/it:1257- 318 niter:481750  2520m 12s (- 485m 12s) completed: 83%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0462  acc: 0.5946  lr: 0.0000 
ep/it:1257- 368 niter:481800  2520m 27s (- 484m 56s) completed: 83%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0451  acc: 0.5992  lr: 0.0000 
Validation loss:1.549, accuracy:0.573
ep/it:1258-  35 niter:481850  2520m 43s (- 484m 41s) completed: 83%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0448  acc: 0.6010  lr: 0.0000 
ep/it:1258-  85 niter:481900  2520m 57s (- 484m 25s) completed: 83%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0444  acc: 0.5963  lr: 0.0000 
ep/it:1258- 135 niter:481950  2521m 12s (- 484m 9s) completed: 83%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0457  acc: 0.6043  lr: 0.0000 
ep/it:1258- 185 niter:482000  2521m 26s (- 483m 53s) completed: 83%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0449  acc: 0.6034  lr: 0.0000 
ep/it:1258- 235 niter:482050  2521m 40s (- 483m 37s) completed: 83%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0460  acc: 0.5994  lr: 0.0000 
ep/it:1258- 285 niter:482100  2521m 55s (- 483m 21s) completed: 83%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0439  acc: 0.5968  lr: 0.0000 
ep/it:1258- 335 niter:482150  2522m 9s (- 483m 5s) completed: 83%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0444  acc: 0.6044  lr: 0.0000 
Validation loss:1.552, accuracy:0.573
ep/it:1259-   2 niter:482200  2522m 25s (- 482m 49s) completed: 83%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0450  acc: 0.6026  lr: 0.0000 
ep/it:1259-  52 niter:482250  2522m 40s (- 482m 33s) completed: 83%) loss_emb: 0.0000  loss: 1.3491  loss_TTT: 0.0465  acc: 0.6070  lr: 0.0000 
ep/it:1259- 102 niter:482300  2522m 55s (- 482m 17s) completed: 83%) loss_emb: 0.0000  loss: 1.3407  loss_TTT: 0.0436  acc: 0.6091  lr: 0.0000 
ep/it:1259- 152 niter:482350  2523m 9s (- 482m 2s) completed: 83%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0443  acc: 0.5969  lr: 0.0000 
ep/it:1259- 202 niter:482400  2523m 24s (- 481m 46s) completed: 83%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0465  acc: 0.6033  lr: 0.0000 
ep/it:1259- 252 niter:482450  2523m 38s (- 481m 30s) completed: 83%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0444  acc: 0.5996  lr: 0.0000 
ep/it:1259- 302 niter:482500  2523m 53s (- 481m 14s) completed: 83%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0437  acc: 0.5969  lr: 0.0000 
ep/it:1259- 352 niter:482550  2524m 8s (- 480m 58s) completed: 83%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0457  acc: 0.5967  lr: 0.0000 
Validation loss:1.566, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.70it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.35106135439128 avg: 38.35106135439128
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.721532742492855 avg: 38.536297048442066
--> 	 Eva. Repeat 0 :, FID. 0.0785, Diversity Real. 9.6527, Diversity. 9.8841, R_precision_real. [0.4921875  0.67285156 0.77246094], R_precision. [0.51367188 0.70703125 0.79980469], matching_score_real. 2.9490, matching_score_pred. 2.9468, skate_ratio. 0.0532, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0479 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0083 (kps_fail_50cm (Loc. err)): 0.0015 (kps_mean_err(m) (Avg. err)): 0.0267 
ep/it:1260-  19 niter:482600  2525m 44s (- 480m 58s) completed: 84%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0431  acc: 0.6051  lr: 0.0000 
ep/it:1260-  69 niter:482650  2525m 58s (- 480m 42s) completed: 84%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0440  acc: 0.6071  lr: 0.0000 
ep/it:1260- 119 niter:482700  2526m 12s (- 480m 26s) completed: 84%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0461  acc: 0.5975  lr: 0.0000 
ep/it:1260- 169 niter:482750  2526m 27s (- 480m 10s) completed: 84%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0442  acc: 0.6019  lr: 0.0000 
ep/it:1260- 219 niter:482800  2526m 41s (- 479m 54s) completed: 84%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0446  acc: 0.6044  lr: 0.0000 
ep/it:1260- 269 niter:482850  2526m 55s (- 479m 38s) completed: 84%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0443  acc: 0.6041  lr: 0.0000 
ep/it:1260- 319 niter:482900  2527m 9s (- 479m 22s) completed: 84%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0458  acc: 0.6001  lr: 0.0000 
ep/it:1260- 369 niter:482950  2527m 24s (- 479m 6s) completed: 84%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0446  acc: 0.5976  lr: 0.0000 
Validation loss:1.573, accuracy:0.569
ep/it:1261-  36 niter:483000  2527m 40s (- 478m 50s) completed: 84%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0460  acc: 0.6058  lr: 0.0000 
ep/it:1261-  86 niter:483050  2527m 55s (- 478m 34s) completed: 84%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0454  acc: 0.5998  lr: 0.0000 
ep/it:1261- 136 niter:483100  2528m 9s (- 478m 18s) completed: 84%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0439  acc: 0.6054  lr: 0.0000 
ep/it:1261- 186 niter:483150  2528m 23s (- 478m 2s) completed: 84%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0438  acc: 0.5944  lr: 0.0000 
ep/it:1261- 236 niter:483200  2528m 38s (- 477m 46s) completed: 84%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0442  acc: 0.6065  lr: 0.0000 
ep/it:1261- 286 niter:483250  2528m 52s (- 477m 30s) completed: 84%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0462  acc: 0.6044  lr: 0.0000 
ep/it:1261- 336 niter:483300  2529m 6s (- 477m 15s) completed: 84%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0443  acc: 0.6036  lr: 0.0000 
Validation loss:1.607, accuracy:0.559
ep/it:1262-   3 niter:483350  2529m 23s (- 476m 59s) completed: 84%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0453  acc: 0.6051  lr: 0.0000 
ep/it:1262-  53 niter:483400  2529m 37s (- 476m 43s) completed: 84%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0450  acc: 0.5988  lr: 0.0000 
ep/it:1262- 103 niter:483450  2529m 52s (- 476m 27s) completed: 84%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0456  acc: 0.6039  lr: 0.0000 
ep/it:1262- 153 niter:483500  2530m 7s (- 476m 11s) completed: 84%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0439  acc: 0.5953  lr: 0.0000 
ep/it:1262- 203 niter:483550  2530m 22s (- 475m 55s) completed: 84%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0456  acc: 0.6009  lr: 0.0000 
ep/it:1262- 253 niter:483600  2530m 36s (- 475m 40s) completed: 84%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0457  acc: 0.6006  lr: 0.0000 
ep/it:1262- 303 niter:483650  2530m 51s (- 475m 24s) completed: 84%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0457  acc: 0.6033  lr: 0.0000 
ep/it:1262- 353 niter:483700  2531m 6s (- 475m 8s) completed: 84%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0475  acc: 0.6000  lr: 0.0000 
Validation loss:1.619, accuracy:0.557
ep/it:1263-  20 niter:483750  2531m 23s (- 474m 52s) completed: 84%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0463  acc: 0.6022  lr: 0.0000 
ep/it:1263-  70 niter:483800  2531m 37s (- 474m 36s) completed: 84%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0450  acc: 0.6011  lr: 0.0000 
ep/it:1263- 120 niter:483850  2531m 51s (- 474m 20s) completed: 84%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0439  acc: 0.5991  lr: 0.0000 
ep/it:1263- 170 niter:483900  2532m 5s (- 474m 4s) completed: 84%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0450  acc: 0.6027  lr: 0.0000 
ep/it:1263- 220 niter:483950  2532m 19s (- 473m 48s) completed: 84%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0454  acc: 0.5977  lr: 0.0000 
ep/it:1263- 270 niter:484000  2532m 33s (- 473m 32s) completed: 84%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0433  acc: 0.5967  lr: 0.0000 
ep/it:1263- 320 niter:484050  2532m 47s (- 473m 16s) completed: 84%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0436  acc: 0.6023  lr: 0.0000 
ep/it:1263- 370 niter:484100  2533m 1s (- 473m 0s) completed: 84%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0464  acc: 0.5993  lr: 0.0000 
Validation loss:1.578, accuracy:0.567
ep/it:1264-  37 niter:484150  2533m 19s (- 472m 45s) completed: 84%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0434  acc: 0.5993  lr: 0.0000 
ep/it:1264-  87 niter:484200  2533m 33s (- 472m 29s) completed: 84%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0451  acc: 0.6038  lr: 0.0000 
ep/it:1264- 137 niter:484250  2533m 48s (- 472m 13s) completed: 84%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0459  acc: 0.6032  lr: 0.0000 
ep/it:1264- 187 niter:484300  2534m 3s (- 471m 57s) completed: 84%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0452  acc: 0.6059  lr: 0.0000 
ep/it:1264- 237 niter:484350  2534m 18s (- 471m 41s) completed: 84%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0450  acc: 0.5994  lr: 0.0000 
ep/it:1264- 287 niter:484400  2534m 33s (- 471m 26s) completed: 84%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0442  acc: 0.6047  lr: 0.0000 
ep/it:1264- 337 niter:484450  2534m 48s (- 471m 10s) completed: 84%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0447  acc: 0.6007  lr: 0.0000 
Validation loss:1.569, accuracy:0.569
ep/it:1265-   4 niter:484500  2535m 6s (- 470m 55s) completed: 84%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0455  acc: 0.6040  lr: 0.0000 
ep/it:1265-  54 niter:484550  2535m 21s (- 470m 39s) completed: 84%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0457  acc: 0.6049  lr: 0.0000 
ep/it:1265- 104 niter:484600  2535m 36s (- 470m 23s) completed: 84%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0453  acc: 0.5969  lr: 0.0000 
ep/it:1265- 154 niter:484650  2535m 50s (- 470m 7s) completed: 84%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0462  acc: 0.5978  lr: 0.0000 
ep/it:1265- 204 niter:484700  2536m 5s (- 469m 51s) completed: 84%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0451  acc: 0.5992  lr: 0.0000 
ep/it:1265- 254 niter:484750  2536m 20s (- 469m 35s) completed: 84%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0470  acc: 0.6051  lr: 0.0000 
ep/it:1265- 304 niter:484800  2536m 35s (- 469m 19s) completed: 84%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0452  acc: 0.6034  lr: 0.0000 
ep/it:1265- 354 niter:484850  2536m 49s (- 469m 3s) completed: 84%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0457  acc: 0.5963  lr: 0.0000 
Validation loss:1.527, accuracy:0.578
ep/it:1266-  21 niter:484900  2537m 6s (- 468m 48s) completed: 84%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0466  acc: 0.6037  lr: 0.0000 
ep/it:1266-  71 niter:484950  2537m 21s (- 468m 32s) completed: 84%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0453  acc: 0.5995  lr: 0.0000 
ep/it:1266- 121 niter:485000  2537m 35s (- 468m 16s) completed: 84%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0455  acc: 0.5958  lr: 0.0000 
ep/it:1266- 171 niter:485050  2537m 49s (- 468m 0s) completed: 84%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0458  acc: 0.6002  lr: 0.0000 
ep/it:1266- 221 niter:485100  2538m 4s (- 467m 44s) completed: 84%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0442  acc: 0.5951  lr: 0.0000 
ep/it:1266- 271 niter:485150  2538m 19s (- 467m 28s) completed: 84%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0452  acc: 0.6053  lr: 0.0000 
ep/it:1266- 321 niter:485200  2538m 33s (- 467m 12s) completed: 84%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0456  acc: 0.5996  lr: 0.0000 
ep/it:1266- 371 niter:485250  2538m 48s (- 466m 57s) completed: 84%) loss_emb: 0.0000  loss: 1.3365  loss_TTT: 0.0456  acc: 0.6099  lr: 0.0000 
Validation loss:1.599, accuracy:0.562
ep/it:1267-  38 niter:485300  2539m 4s (- 466m 41s) completed: 84%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0467  acc: 0.5981  lr: 0.0000 
ep/it:1267-  88 niter:485350  2539m 18s (- 466m 25s) completed: 84%) loss_emb: 0.0000  loss: 1.3514  loss_TTT: 0.0435  acc: 0.6057  lr: 0.0000 
ep/it:1267- 138 niter:485400  2539m 33s (- 466m 9s) completed: 84%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0468  acc: 0.6025  lr: 0.0000 
ep/it:1267- 188 niter:485450  2539m 47s (- 465m 53s) completed: 84%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0461  acc: 0.6012  lr: 0.0000 
ep/it:1267- 238 niter:485500  2540m 1s (- 465m 37s) completed: 84%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0446  acc: 0.6018  lr: 0.0000 
ep/it:1267- 288 niter:485550  2540m 16s (- 465m 21s) completed: 84%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0450  acc: 0.6054  lr: 0.0000 
ep/it:1267- 338 niter:485600  2540m 30s (- 465m 5s) completed: 84%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0461  acc: 0.6022  lr: 0.0000 
Validation loss:1.559, accuracy:0.571
ep/it:1268-   5 niter:485650  2540m 47s (- 464m 50s) completed: 84%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0464  acc: 0.6076  lr: 0.0000 
ep/it:1268-  55 niter:485700  2541m 2s (- 464m 34s) completed: 84%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0450  acc: 0.6029  lr: 0.0000 
ep/it:1268- 105 niter:485750  2541m 17s (- 464m 18s) completed: 84%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0458  acc: 0.6011  lr: 0.0000 
ep/it:1268- 155 niter:485800  2541m 32s (- 464m 2s) completed: 84%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0447  acc: 0.6058  lr: 0.0000 
ep/it:1268- 205 niter:485850  2541m 47s (- 463m 47s) completed: 84%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0445  acc: 0.5920  lr: 0.0000 
ep/it:1268- 255 niter:485900  2542m 1s (- 463m 31s) completed: 84%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0457  acc: 0.5961  lr: 0.0000 
ep/it:1268- 305 niter:485950  2542m 16s (- 463m 15s) completed: 84%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0468  acc: 0.5942  lr: 0.0000 
ep/it:1268- 355 niter:486000  2542m 30s (- 462m 59s) completed: 84%) loss_emb: 0.0000  loss: 1.3440  loss_TTT: 0.0449  acc: 0.6087  lr: 0.0000 
Validation loss:1.572, accuracy:0.568
ep/it:1269-  22 niter:486050  2542m 47s (- 462m 43s) completed: 84%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0447  acc: 0.5981  lr: 0.0000 
ep/it:1269-  72 niter:486100  2543m 2s (- 462m 27s) completed: 84%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0443  acc: 0.6072  lr: 0.0000 
ep/it:1269- 122 niter:486150  2543m 16s (- 462m 11s) completed: 84%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0441  acc: 0.6043  lr: 0.0000 
ep/it:1269- 172 niter:486200  2543m 31s (- 461m 56s) completed: 84%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0451  acc: 0.6073  lr: 0.0000 
ep/it:1269- 222 niter:486250  2543m 45s (- 461m 40s) completed: 84%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0452  acc: 0.5967  lr: 0.0000 
ep/it:1269- 272 niter:486300  2544m 0s (- 461m 24s) completed: 84%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0449  acc: 0.5990  lr: 0.0000 
ep/it:1269- 322 niter:486350  2544m 15s (- 461m 8s) completed: 84%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0456  acc: 0.6022  lr: 0.0000 
ep/it:1269- 372 niter:486400  2544m 30s (- 460m 52s) completed: 84%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0452  acc: 0.5982  lr: 0.0000 
Validation loss:1.538, accuracy:0.576

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.61it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.399003255181015 avg: 38.399003255181015
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.60142713878304 avg: 38.500215196982026
--> 	 Eva. Repeat 0 :, FID. 0.0755, Diversity Real. 9.3542, Diversity. 9.3550, R_precision_real. [0.50097656 0.70019531 0.79589844], R_precision. [0.50878906 0.7109375  0.80273438], matching_score_real. 2.9601, matching_score_pred. 2.9695, skate_ratio. 0.0488, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0557 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0118 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0282 
ep/it:1270-  39 niter:486450  2546m 5s (- 460m 51s) completed: 84%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0456  acc: 0.5969  lr: 0.0000 
ep/it:1270-  89 niter:486500  2546m 19s (- 460m 35s) completed: 84%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0454  acc: 0.6018  lr: 0.0000 
ep/it:1270- 139 niter:486550  2546m 34s (- 460m 19s) completed: 84%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0440  acc: 0.6024  lr: 0.0000 
ep/it:1270- 189 niter:486600  2546m 48s (- 460m 3s) completed: 84%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0447  acc: 0.6081  lr: 0.0000 
ep/it:1270- 239 niter:486650  2547m 3s (- 459m 47s) completed: 84%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0439  acc: 0.6051  lr: 0.0000 
ep/it:1270- 289 niter:486700  2547m 17s (- 459m 31s) completed: 84%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0449  acc: 0.6039  lr: 0.0000 
ep/it:1270- 339 niter:486750  2547m 31s (- 459m 15s) completed: 84%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0442  acc: 0.6014  lr: 0.0000 
Validation loss:1.568, accuracy:0.566
ep/it:1271-   6 niter:486800  2547m 48s (- 459m 0s) completed: 84%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0442  acc: 0.6059  lr: 0.0000 
ep/it:1271-  56 niter:486850  2548m 3s (- 458m 44s) completed: 84%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0439  acc: 0.6000  lr: 0.0000 
ep/it:1271- 106 niter:486900  2548m 17s (- 458m 28s) completed: 84%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0446  acc: 0.5964  lr: 0.0000 
ep/it:1271- 156 niter:486950  2548m 31s (- 458m 12s) completed: 84%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0457  acc: 0.6008  lr: 0.0000 
ep/it:1271- 206 niter:487000  2548m 45s (- 457m 56s) completed: 84%) loss_emb: 0.0000  loss: 1.3496  loss_TTT: 0.0445  acc: 0.6069  lr: 0.0000 
ep/it:1271- 256 niter:487050  2548m 59s (- 457m 40s) completed: 84%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0443  acc: 0.6033  lr: 0.0000 
ep/it:1271- 306 niter:487100  2549m 13s (- 457m 24s) completed: 84%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0445  acc: 0.5990  lr: 0.0000 
ep/it:1271- 356 niter:487150  2549m 28s (- 457m 8s) completed: 84%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0430  acc: 0.5962  lr: 0.0000 
Validation loss:1.597, accuracy:0.560
ep/it:1272-  23 niter:487200  2549m 44s (- 456m 52s) completed: 84%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0445  acc: 0.6047  lr: 0.0000 
ep/it:1272-  73 niter:487250  2549m 58s (- 456m 36s) completed: 84%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0454  acc: 0.6069  lr: 0.0000 
ep/it:1272- 123 niter:487300  2550m 13s (- 456m 20s) completed: 84%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0452  acc: 0.5989  lr: 0.0000 
ep/it:1272- 173 niter:487350  2550m 27s (- 456m 4s) completed: 84%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0462  acc: 0.6004  lr: 0.0000 
ep/it:1272- 223 niter:487400  2550m 40s (- 455m 48s) completed: 84%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0436  acc: 0.6071  lr: 0.0000 
ep/it:1272- 273 niter:487450  2550m 54s (- 455m 32s) completed: 84%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0443  acc: 0.5931  lr: 0.0000 
ep/it:1272- 323 niter:487500  2551m 9s (- 455m 16s) completed: 84%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0455  acc: 0.5922  lr: 0.0000 
ep/it:1272- 373 niter:487550  2551m 23s (- 455m 1s) completed: 84%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0438  acc: 0.6016  lr: 0.0000 
Validation loss:1.574, accuracy:0.568
ep/it:1273-  40 niter:487600  2551m 40s (- 454m 45s) completed: 84%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0442  acc: 0.6040  lr: 0.0000 
ep/it:1273-  90 niter:487650  2551m 54s (- 454m 29s) completed: 84%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0466  acc: 0.5981  lr: 0.0000 
ep/it:1273- 140 niter:487700  2552m 8s (- 454m 13s) completed: 84%) loss_emb: 0.0000  loss: 1.3521  loss_TTT: 0.0441  acc: 0.6060  lr: 0.0000 
ep/it:1273- 190 niter:487750  2552m 22s (- 453m 57s) completed: 84%) loss_emb: 0.0000  loss: 1.3525  loss_TTT: 0.0447  acc: 0.6059  lr: 0.0000 
ep/it:1273- 240 niter:487800  2552m 37s (- 453m 41s) completed: 84%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0448  acc: 0.6034  lr: 0.0000 
ep/it:1273- 290 niter:487850  2552m 52s (- 453m 25s) completed: 84%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0449  acc: 0.6021  lr: 0.0000 
ep/it:1273- 340 niter:487900  2553m 6s (- 453m 9s) completed: 84%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0448  acc: 0.5981  lr: 0.0000 
Validation loss:1.547, accuracy:0.574
ep/it:1274-   7 niter:487950  2553m 24s (- 452m 54s) completed: 84%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0443  acc: 0.5950  lr: 0.0000 
ep/it:1274-  57 niter:488000  2553m 38s (- 452m 38s) completed: 84%) loss_emb: 0.0000  loss: 1.3299  loss_TTT: 0.0434  acc: 0.6116  lr: 0.0000 
ep/it:1274- 107 niter:488050  2553m 52s (- 452m 22s) completed: 84%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0479  acc: 0.6028  lr: 0.0000 
ep/it:1274- 157 niter:488100  2554m 6s (- 452m 6s) completed: 84%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0457  acc: 0.6046  lr: 0.0000 
ep/it:1274- 207 niter:488150  2554m 21s (- 451m 50s) completed: 84%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0440  acc: 0.5983  lr: 0.0000 
ep/it:1274- 257 niter:488200  2554m 35s (- 451m 34s) completed: 84%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0451  acc: 0.6015  lr: 0.0000 
ep/it:1274- 307 niter:488250  2554m 50s (- 451m 19s) completed: 84%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0448  acc: 0.6033  lr: 0.0000 
ep/it:1274- 357 niter:488300  2555m 5s (- 451m 3s) completed: 84%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0443  acc: 0.5904  lr: 0.0000 
Validation loss:1.532, accuracy:0.578
ep/it:1275-  24 niter:488350  2555m 21s (- 450m 47s) completed: 85%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0428  acc: 0.6031  lr: 0.0000 
ep/it:1275-  74 niter:488400  2555m 35s (- 450m 31s) completed: 85%) loss_emb: 0.0000  loss: 1.3486  loss_TTT: 0.0452  acc: 0.6059  lr: 0.0000 
ep/it:1275- 124 niter:488450  2555m 49s (- 450m 15s) completed: 85%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0453  acc: 0.5995  lr: 0.0000 
ep/it:1275- 174 niter:488500  2556m 3s (- 449m 59s) completed: 85%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0434  acc: 0.5992  lr: 0.0000 
ep/it:1275- 224 niter:488550  2556m 18s (- 449m 43s) completed: 85%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0443  acc: 0.6017  lr: 0.0000 
ep/it:1275- 274 niter:488600  2556m 32s (- 449m 27s) completed: 85%) loss_emb: 0.0000  loss: 1.3489  loss_TTT: 0.0454  acc: 0.6069  lr: 0.0000 
ep/it:1275- 324 niter:488650  2556m 47s (- 449m 11s) completed: 85%) loss_emb: 0.0000  loss: 1.3519  loss_TTT: 0.0438  acc: 0.6056  lr: 0.0000 
ep/it:1275- 374 niter:488700  2557m 1s (- 448m 55s) completed: 85%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0457  acc: 0.5982  lr: 0.0000 
Validation loss:1.568, accuracy:0.569
ep/it:1276-  41 niter:488750  2557m 18s (- 448m 40s) completed: 85%) loss_emb: 0.0000  loss: 1.3319  loss_TTT: 0.0428  acc: 0.6107  lr: 0.0000 
ep/it:1276-  91 niter:488800  2557m 32s (- 448m 24s) completed: 85%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0433  acc: 0.6044  lr: 0.0000 
ep/it:1276- 141 niter:488850  2557m 46s (- 448m 8s) completed: 85%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0442  acc: 0.6017  lr: 0.0000 
ep/it:1276- 191 niter:488900  2558m 0s (- 447m 52s) completed: 85%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0454  acc: 0.6008  lr: 0.0000 
ep/it:1276- 241 niter:488950  2558m 15s (- 447m 36s) completed: 85%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0432  acc: 0.5999  lr: 0.0000 
ep/it:1276- 291 niter:489000  2558m 29s (- 447m 20s) completed: 85%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0450  acc: 0.6009  lr: 0.0000 
ep/it:1276- 341 niter:489050  2558m 44s (- 447m 4s) completed: 85%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0441  acc: 0.6038  lr: 0.0000 
Validation loss:1.560, accuracy:0.570
ep/it:1277-   8 niter:489100  2559m 2s (- 446m 49s) completed: 85%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0453  acc: 0.6034  lr: 0.0000 
ep/it:1277-  58 niter:489150  2559m 16s (- 446m 33s) completed: 85%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0441  acc: 0.5945  lr: 0.0000 
ep/it:1277- 108 niter:489200  2559m 30s (- 446m 17s) completed: 85%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0452  acc: 0.6006  lr: 0.0000 
ep/it:1277- 158 niter:489250  2559m 44s (- 446m 1s) completed: 85%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0447  acc: 0.5976  lr: 0.0000 
ep/it:1277- 208 niter:489300  2559m 58s (- 445m 45s) completed: 85%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0440  acc: 0.6037  lr: 0.0000 
ep/it:1277- 258 niter:489350  2560m 12s (- 445m 29s) completed: 85%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0444  acc: 0.6068  lr: 0.0000 
ep/it:1277- 308 niter:489400  2560m 26s (- 445m 13s) completed: 85%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0462  acc: 0.5945  lr: 0.0000 
ep/it:1277- 358 niter:489450  2560m 40s (- 444m 57s) completed: 85%) loss_emb: 0.0000  loss: 1.3538  loss_TTT: 0.0452  acc: 0.6049  lr: 0.0000 
Validation loss:1.567, accuracy:0.568
ep/it:1278-  25 niter:489500  2560m 57s (- 444m 42s) completed: 85%) loss_emb: 0.0000  loss: 1.3416  loss_TTT: 0.0431  acc: 0.6089  lr: 0.0000 
ep/it:1278-  75 niter:489550  2561m 12s (- 444m 26s) completed: 85%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0447  acc: 0.5921  lr: 0.0000 
ep/it:1278- 125 niter:489600  2561m 27s (- 444m 10s) completed: 85%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0424  acc: 0.6048  lr: 0.0000 
ep/it:1278- 175 niter:489650  2561m 41s (- 443m 54s) completed: 85%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0447  acc: 0.6015  lr: 0.0000 
ep/it:1278- 225 niter:489700  2561m 56s (- 443m 38s) completed: 85%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0442  acc: 0.6018  lr: 0.0000 
ep/it:1278- 275 niter:489750  2562m 10s (- 443m 22s) completed: 85%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0460  acc: 0.5975  lr: 0.0000 
ep/it:1278- 325 niter:489800  2562m 25s (- 443m 6s) completed: 85%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0438  acc: 0.6074  lr: 0.0000 
ep/it:1278- 375 niter:489850  2562m 39s (- 442m 50s) completed: 85%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0439  acc: 0.6008  lr: 0.0000 
Validation loss:1.621, accuracy:0.557
ep/it:1279-  42 niter:489900  2562m 56s (- 442m 35s) completed: 85%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0433  acc: 0.6006  lr: 0.0000 
ep/it:1279-  92 niter:489950  2563m 10s (- 442m 19s) completed: 85%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0452  acc: 0.5984  lr: 0.0000 
ep/it:1279- 142 niter:490000  2563m 25s (- 442m 3s) completed: 85%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0447  acc: 0.6043  lr: 0.0000 
ep/it:1279- 192 niter:490050  2563m 39s (- 441m 47s) completed: 85%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0439  acc: 0.6008  lr: 0.0000 
ep/it:1279- 242 niter:490100  2563m 53s (- 441m 31s) completed: 85%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0443  acc: 0.6072  lr: 0.0000 
ep/it:1279- 292 niter:490150  2564m 8s (- 441m 15s) completed: 85%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0441  acc: 0.6013  lr: 0.0000 
ep/it:1279- 342 niter:490200  2564m 22s (- 440m 59s) completed: 85%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0452  acc: 0.5988  lr: 0.0000 
Validation loss:1.604, accuracy:0.561

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.78it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.65567532554269 avg: 38.65567532554269
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.46917798463255 avg: 38.56242665508762
--> 	 Eva. Repeat 0 :, FID. 0.0755, Diversity Real. 9.1583, Diversity. 9.6481, R_precision_real. [0.49804688 0.70703125 0.80957031], R_precision. [0.50683594 0.69824219 0.79394531], matching_score_real. 2.8188, matching_score_pred. 2.8895, skate_ratio. 0.0482, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0547 (traj_fail_50cm (Traj err)): 0.0088 (kps_fail_20cm): 0.0080 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0269 
ep/it:1280-   9 niter:490250  2565m 57s (- 440m 57s) completed: 85%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0429  acc: 0.5942  lr: 0.0000 
ep/it:1280-  59 niter:490300  2566m 11s (- 440m 41s) completed: 85%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0437  acc: 0.6049  lr: 0.0000 
ep/it:1280- 109 niter:490350  2566m 25s (- 440m 25s) completed: 85%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0433  acc: 0.6035  lr: 0.0000 
ep/it:1280- 159 niter:490400  2566m 39s (- 440m 9s) completed: 85%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0439  acc: 0.6056  lr: 0.0000 
ep/it:1280- 209 niter:490450  2566m 53s (- 439m 53s) completed: 85%) loss_emb: 0.0000  loss: 1.3296  loss_TTT: 0.0442  acc: 0.6133  lr: 0.0000 
ep/it:1280- 259 niter:490500  2567m 7s (- 439m 37s) completed: 85%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0448  acc: 0.6011  lr: 0.0000 
ep/it:1280- 309 niter:490550  2567m 22s (- 439m 21s) completed: 85%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0465  acc: 0.5998  lr: 0.0000 
ep/it:1280- 359 niter:490600  2567m 36s (- 439m 5s) completed: 85%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0449  acc: 0.6023  lr: 0.0000 
Validation loss:1.543, accuracy:0.576
ep/it:1281-  26 niter:490650  2567m 53s (- 438m 50s) completed: 85%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0450  acc: 0.5990  lr: 0.0000 
ep/it:1281-  76 niter:490700  2568m 7s (- 438m 34s) completed: 85%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0456  acc: 0.6016  lr: 0.0000 
ep/it:1281- 126 niter:490750  2568m 22s (- 438m 18s) completed: 85%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0472  acc: 0.5935  lr: 0.0000 
ep/it:1281- 176 niter:490800  2568m 36s (- 438m 2s) completed: 85%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0439  acc: 0.6052  lr: 0.0000 
ep/it:1281- 226 niter:490850  2568m 51s (- 437m 46s) completed: 85%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0443  acc: 0.6023  lr: 0.0000 
ep/it:1281- 276 niter:490900  2569m 6s (- 437m 31s) completed: 85%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0437  acc: 0.6041  lr: 0.0000 
ep/it:1281- 326 niter:490950  2569m 20s (- 437m 15s) completed: 85%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0444  acc: 0.5973  lr: 0.0000 
ep/it:1281- 376 niter:491000  2569m 35s (- 436m 59s) completed: 85%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0435  acc: 0.6048  lr: 0.0000 
Validation loss:1.563, accuracy:0.571
ep/it:1282-  43 niter:491050  2569m 52s (- 436m 43s) completed: 85%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0459  acc: 0.5992  lr: 0.0000 
ep/it:1282-  93 niter:491100  2570m 6s (- 436m 27s) completed: 85%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0443  acc: 0.6005  lr: 0.0000 
ep/it:1282- 143 niter:491150  2570m 20s (- 436m 11s) completed: 85%) loss_emb: 0.0000  loss: 1.3489  loss_TTT: 0.0437  acc: 0.6071  lr: 0.0000 
ep/it:1282- 193 niter:491200  2570m 35s (- 435m 55s) completed: 85%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0439  acc: 0.6011  lr: 0.0000 
ep/it:1282- 243 niter:491250  2570m 49s (- 435m 39s) completed: 85%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0441  acc: 0.5994  lr: 0.0000 
ep/it:1282- 293 niter:491300  2571m 3s (- 435m 23s) completed: 85%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0455  acc: 0.6019  lr: 0.0000 
ep/it:1282- 343 niter:491350  2571m 17s (- 435m 7s) completed: 85%) loss_emb: 0.0000  loss: 1.3432  loss_TTT: 0.0429  acc: 0.6078  lr: 0.0000 
Validation loss:1.561, accuracy:0.568
ep/it:1283-  10 niter:491400  2571m 33s (- 434m 52s) completed: 85%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0434  acc: 0.5993  lr: 0.0000 
ep/it:1283-  60 niter:491450  2571m 48s (- 434m 36s) completed: 85%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0453  acc: 0.6017  lr: 0.0000 
ep/it:1283- 110 niter:491500  2572m 3s (- 434m 20s) completed: 85%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0453  acc: 0.6045  lr: 0.0000 
ep/it:1283- 160 niter:491550  2572m 18s (- 434m 4s) completed: 85%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0446  acc: 0.5996  lr: 0.0000 
ep/it:1283- 210 niter:491600  2572m 32s (- 433m 48s) completed: 85%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0444  acc: 0.6013  lr: 0.0000 
ep/it:1283- 260 niter:491650  2572m 47s (- 433m 33s) completed: 85%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0451  acc: 0.6027  lr: 0.0000 
ep/it:1283- 310 niter:491700  2573m 2s (- 433m 17s) completed: 85%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0427  acc: 0.5982  lr: 0.0000 
ep/it:1283- 360 niter:491750  2573m 17s (- 433m 1s) completed: 85%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0447  acc: 0.6020  lr: 0.0000 
Validation loss:1.590, accuracy:0.561
ep/it:1284-  27 niter:491800  2573m 34s (- 432m 46s) completed: 85%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0432  acc: 0.6047  lr: 0.0000 
ep/it:1284-  77 niter:491850  2573m 49s (- 432m 30s) completed: 85%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0451  acc: 0.6050  lr: 0.0000 
ep/it:1284- 127 niter:491900  2574m 3s (- 432m 14s) completed: 85%) loss_emb: 0.0000  loss: 1.3507  loss_TTT: 0.0443  acc: 0.6066  lr: 0.0000 
ep/it:1284- 177 niter:491950  2574m 17s (- 431m 58s) completed: 85%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0450  acc: 0.6016  lr: 0.0000 
ep/it:1284- 227 niter:492000  2574m 31s (- 431m 42s) completed: 85%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0446  acc: 0.6066  lr: 0.0000 
ep/it:1284- 277 niter:492050  2574m 46s (- 431m 26s) completed: 85%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0451  acc: 0.6039  lr: 0.0000 
ep/it:1284- 327 niter:492100  2575m 1s (- 431m 10s) completed: 85%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0423  acc: 0.5966  lr: 0.0000 
ep/it:1284- 377 niter:492150  2575m 15s (- 430m 54s) completed: 85%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0442  acc: 0.6017  lr: 0.0000 
Validation loss:1.580, accuracy:0.567
ep/it:1285-  44 niter:492200  2575m 32s (- 430m 39s) completed: 85%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0455  acc: 0.6000  lr: 0.0000 
ep/it:1285-  94 niter:492250  2575m 46s (- 430m 23s) completed: 85%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0437  acc: 0.5984  lr: 0.0000 
ep/it:1285- 144 niter:492300  2576m 1s (- 430m 7s) completed: 85%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0452  acc: 0.6087  lr: 0.0000 
ep/it:1285- 194 niter:492350  2576m 15s (- 429m 51s) completed: 85%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0438  acc: 0.6006  lr: 0.0000 
ep/it:1285- 244 niter:492400  2576m 29s (- 429m 35s) completed: 85%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0454  acc: 0.6003  lr: 0.0000 
ep/it:1285- 294 niter:492450  2576m 44s (- 429m 19s) completed: 85%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0437  acc: 0.6039  lr: 0.0000 
ep/it:1285- 344 niter:492500  2576m 58s (- 429m 3s) completed: 85%) loss_emb: 0.0000  loss: 1.3450  loss_TTT: 0.0439  acc: 0.6093  lr: 0.0000 
Validation loss:1.565, accuracy:0.571
ep/it:1286-  11 niter:492550  2577m 16s (- 428m 48s) completed: 85%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0444  acc: 0.5998  lr: 0.0000 
ep/it:1286-  61 niter:492600  2577m 30s (- 428m 32s) completed: 85%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0443  acc: 0.5923  lr: 0.0000 
ep/it:1286- 111 niter:492650  2577m 45s (- 428m 16s) completed: 85%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0449  acc: 0.6047  lr: 0.0000 
ep/it:1286- 161 niter:492700  2577m 59s (- 428m 0s) completed: 85%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0454  acc: 0.6011  lr: 0.0000 
ep/it:1286- 211 niter:492750  2578m 14s (- 427m 44s) completed: 85%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0435  acc: 0.6035  lr: 0.0000 
ep/it:1286- 261 niter:492800  2578m 28s (- 427m 28s) completed: 85%) loss_emb: 0.0000  loss: 1.3525  loss_TTT: 0.0444  acc: 0.6061  lr: 0.0000 
ep/it:1286- 311 niter:492850  2578m 43s (- 427m 12s) completed: 85%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0435  acc: 0.6026  lr: 0.0000 
ep/it:1286- 361 niter:492900  2578m 57s (- 426m 56s) completed: 85%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0453  acc: 0.6012  lr: 0.0000 
Validation loss:1.577, accuracy:0.565
ep/it:1287-  28 niter:492950  2579m 14s (- 426m 41s) completed: 85%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0437  acc: 0.6039  lr: 0.0000 
ep/it:1287-  78 niter:493000  2579m 28s (- 426m 25s) completed: 85%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0448  acc: 0.6024  lr: 0.0000 
ep/it:1287- 128 niter:493050  2579m 42s (- 426m 9s) completed: 85%) loss_emb: 0.0000  loss: 1.3451  loss_TTT: 0.0446  acc: 0.6087  lr: 0.0000 
ep/it:1287- 178 niter:493100  2579m 57s (- 425m 53s) completed: 85%) loss_emb: 0.0000  loss: 1.3493  loss_TTT: 0.0461  acc: 0.6066  lr: 0.0000 
ep/it:1287- 228 niter:493150  2580m 11s (- 425m 37s) completed: 85%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0462  acc: 0.6072  lr: 0.0000 
ep/it:1287- 278 niter:493200  2580m 26s (- 425m 21s) completed: 85%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0469  acc: 0.6011  lr: 0.0000 
ep/it:1287- 328 niter:493250  2580m 40s (- 425m 5s) completed: 85%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0468  acc: 0.5991  lr: 0.0000 
ep/it:1287- 378 niter:493300  2580m 55s (- 424m 50s) completed: 85%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0482  acc: 0.5948  lr: 0.0000 
Validation loss:1.619, accuracy:0.556
ep/it:1288-  45 niter:493350  2581m 12s (- 424m 34s) completed: 85%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0470  acc: 0.5918  lr: 0.0000 
ep/it:1288-  95 niter:493400  2581m 26s (- 424m 18s) completed: 85%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0469  acc: 0.6032  lr: 0.0000 
ep/it:1288- 145 niter:493450  2581m 40s (- 424m 2s) completed: 85%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0489  acc: 0.5989  lr: 0.0000 
ep/it:1288- 195 niter:493500  2581m 54s (- 423m 46s) completed: 85%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0489  acc: 0.5953  lr: 0.0000 
ep/it:1288- 245 niter:493550  2582m 9s (- 423m 30s) completed: 85%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0498  acc: 0.5951  lr: 0.0000 
ep/it:1288- 295 niter:493600  2582m 23s (- 423m 14s) completed: 85%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0481  acc: 0.6023  lr: 0.0000 
ep/it:1288- 345 niter:493650  2582m 37s (- 422m 59s) completed: 85%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0489  acc: 0.6031  lr: 0.0000 
Validation loss:1.607, accuracy:0.563
ep/it:1289-  12 niter:493700  2582m 54s (- 422m 43s) completed: 85%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0496  acc: 0.5942  lr: 0.0000 
ep/it:1289-  62 niter:493750  2583m 9s (- 422m 27s) completed: 85%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0480  acc: 0.6026  lr: 0.0000 
ep/it:1289- 112 niter:493800  2583m 23s (- 422m 11s) completed: 85%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0504  acc: 0.6013  lr: 0.0000 
ep/it:1289- 162 niter:493850  2583m 37s (- 421m 55s) completed: 85%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0476  acc: 0.6042  lr: 0.0000 
ep/it:1289- 212 niter:493900  2583m 51s (- 421m 39s) completed: 85%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0480  acc: 0.6030  lr: 0.0000 
ep/it:1289- 262 niter:493950  2584m 5s (- 421m 23s) completed: 85%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0465  acc: 0.6037  lr: 0.0000 
ep/it:1289- 312 niter:494000  2584m 19s (- 421m 7s) completed: 85%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0470  acc: 0.6036  lr: 0.0000 
ep/it:1289- 362 niter:494050  2584m 34s (- 420m 52s) completed: 85%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0483  acc: 0.5914  lr: 0.0000 
Validation loss:1.592, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.72it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.48s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.4977046828717 avg: 38.4977046828717
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.82475222274661 avg: 38.661228452809155
--> 	 Eva. Repeat 0 :, FID. 0.0607, Diversity Real. 9.5003, Diversity. 9.7368, R_precision_real. [0.50195312 0.70507812 0.80273438], R_precision. [0.51855469 0.71289062 0.81152344], matching_score_real. 2.8958, matching_score_pred. 2.9135, skate_ratio. 0.0497, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0664 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0128 (kps_fail_50cm (Loc. err)): 0.0019 (kps_mean_err(m) (Avg. err)): 0.0284 
ep/it:1290-  29 niter:494100  2586m 10s (- 420m 49s) completed: 86%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0503  acc: 0.5961  lr: 0.0000 
ep/it:1290-  79 niter:494150  2586m 25s (- 420m 33s) completed: 86%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0509  acc: 0.5967  lr: 0.0000 
ep/it:1290- 129 niter:494200  2586m 39s (- 420m 17s) completed: 86%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0504  acc: 0.6029  lr: 0.0000 
ep/it:1290- 179 niter:494250  2586m 53s (- 420m 1s) completed: 86%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0494  acc: 0.6018  lr: 0.0000 
ep/it:1290- 229 niter:494300  2587m 8s (- 419m 45s) completed: 86%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0484  acc: 0.5982  lr: 0.0000 
ep/it:1290- 279 niter:494350  2587m 22s (- 419m 29s) completed: 86%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0483  acc: 0.5997  lr: 0.0000 
ep/it:1290- 329 niter:494400  2587m 36s (- 419m 13s) completed: 86%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0479  acc: 0.5989  lr: 0.0000 
ep/it:1290- 379 niter:494450  2587m 50s (- 418m 57s) completed: 86%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0483  acc: 0.6045  lr: 0.0000 
Validation loss:1.614, accuracy:0.561
ep/it:1291-  46 niter:494500  2588m 7s (- 418m 42s) completed: 86%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0495  acc: 0.5996  lr: 0.0000 
ep/it:1291-  96 niter:494550  2588m 21s (- 418m 26s) completed: 86%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0478  acc: 0.5994  lr: 0.0000 
ep/it:1291- 146 niter:494600  2588m 36s (- 418m 10s) completed: 86%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0497  acc: 0.6007  lr: 0.0000 
ep/it:1291- 196 niter:494650  2588m 50s (- 417m 54s) completed: 86%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0475  acc: 0.6037  lr: 0.0000 
ep/it:1291- 246 niter:494700  2589m 4s (- 417m 38s) completed: 86%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0495  acc: 0.5949  lr: 0.0000 
ep/it:1291- 296 niter:494750  2589m 18s (- 417m 22s) completed: 86%) loss_emb: 0.0000  loss: 1.3548  loss_TTT: 0.0472  acc: 0.6062  lr: 0.0000 
ep/it:1291- 346 niter:494800  2589m 32s (- 417m 6s) completed: 86%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0519  acc: 0.5962  lr: 0.0000 
Validation loss:1.549, accuracy:0.575
ep/it:1292-  13 niter:494850  2589m 49s (- 416m 51s) completed: 86%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0471  acc: 0.6050  lr: 0.0000 
ep/it:1292-  63 niter:494900  2590m 3s (- 416m 35s) completed: 86%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0490  acc: 0.5992  lr: 0.0000 
ep/it:1292- 113 niter:494950  2590m 17s (- 416m 19s) completed: 86%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0468  acc: 0.6052  lr: 0.0000 
ep/it:1292- 163 niter:495000  2590m 31s (- 416m 3s) completed: 86%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0456  acc: 0.5977  lr: 0.0000 
ep/it:1292- 213 niter:495050  2590m 46s (- 415m 47s) completed: 86%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0463  acc: 0.5954  lr: 0.0000 
ep/it:1292- 263 niter:495100  2591m 0s (- 415m 31s) completed: 86%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0472  acc: 0.6036  lr: 0.0000 
ep/it:1292- 313 niter:495150  2591m 14s (- 415m 15s) completed: 86%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0447  acc: 0.5942  lr: 0.0000 
ep/it:1292- 363 niter:495200  2591m 28s (- 414m 59s) completed: 86%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0452  acc: 0.6006  lr: 0.0000 
Validation loss:1.592, accuracy:0.563
ep/it:1293-  30 niter:495250  2591m 45s (- 414m 44s) completed: 86%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0471  acc: 0.6007  lr: 0.0000 
ep/it:1293-  80 niter:495300  2591m 59s (- 414m 28s) completed: 86%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0472  acc: 0.6003  lr: 0.0000 
ep/it:1293- 130 niter:495350  2592m 13s (- 414m 12s) completed: 86%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0465  acc: 0.6015  lr: 0.0000 
ep/it:1293- 180 niter:495400  2592m 28s (- 413m 56s) completed: 86%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0442  acc: 0.5969  lr: 0.0000 
ep/it:1293- 230 niter:495450  2592m 42s (- 413m 40s) completed: 86%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0450  acc: 0.5930  lr: 0.0000 
ep/it:1293- 280 niter:495500  2592m 56s (- 413m 24s) completed: 86%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0455  acc: 0.5969  lr: 0.0000 
ep/it:1293- 330 niter:495550  2593m 11s (- 413m 8s) completed: 86%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0459  acc: 0.6031  lr: 0.0000 
ep/it:1293- 380 niter:495600  2593m 25s (- 412m 52s) completed: 86%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0438  acc: 0.6045  lr: 0.0000 
Validation loss:1.576, accuracy:0.568
ep/it:1294-  47 niter:495650  2593m 41s (- 412m 36s) completed: 86%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0440  acc: 0.6036  lr: 0.0000 
ep/it:1294-  97 niter:495700  2593m 55s (- 412m 20s) completed: 86%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0449  acc: 0.5962  lr: 0.0000 
ep/it:1294- 147 niter:495750  2594m 10s (- 412m 5s) completed: 86%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0450  acc: 0.6019  lr: 0.0000 
ep/it:1294- 197 niter:495800  2594m 24s (- 411m 49s) completed: 86%) loss_emb: 0.0000  loss: 1.3362  loss_TTT: 0.0465  acc: 0.6100  lr: 0.0000 
ep/it:1294- 247 niter:495850  2594m 39s (- 411m 33s) completed: 86%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0468  acc: 0.5989  lr: 0.0000 
ep/it:1294- 297 niter:495900  2594m 53s (- 411m 17s) completed: 86%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0443  acc: 0.5936  lr: 0.0000 
ep/it:1294- 347 niter:495950  2595m 7s (- 411m 1s) completed: 86%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0448  acc: 0.5993  lr: 0.0000 
Validation loss:1.577, accuracy:0.568
ep/it:1295-  14 niter:496000  2595m 24s (- 410m 45s) completed: 86%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0446  acc: 0.5963  lr: 0.0000 
ep/it:1295-  64 niter:496050  2595m 39s (- 410m 30s) completed: 86%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0453  acc: 0.5957  lr: 0.0000 
ep/it:1295- 114 niter:496100  2595m 53s (- 410m 14s) completed: 86%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0438  acc: 0.6036  lr: 0.0000 
ep/it:1295- 164 niter:496150  2596m 7s (- 409m 58s) completed: 86%) loss_emb: 0.0000  loss: 1.3222  loss_TTT: 0.0440  acc: 0.6135  lr: 0.0000 
ep/it:1295- 214 niter:496200  2596m 22s (- 409m 42s) completed: 86%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0450  acc: 0.6048  lr: 0.0000 
ep/it:1295- 264 niter:496250  2596m 37s (- 409m 26s) completed: 86%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0449  acc: 0.6065  lr: 0.0000 
ep/it:1295- 314 niter:496300  2596m 51s (- 409m 10s) completed: 86%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0431  acc: 0.6035  lr: 0.0000 
ep/it:1295- 364 niter:496350  2597m 6s (- 408m 54s) completed: 86%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0462  acc: 0.6011  lr: 0.0000 
Validation loss:1.572, accuracy:0.568
ep/it:1296-  31 niter:496400  2597m 22s (- 408m 39s) completed: 86%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0460  acc: 0.6035  lr: 0.0000 
ep/it:1296-  81 niter:496450  2597m 36s (- 408m 23s) completed: 86%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0458  acc: 0.6025  lr: 0.0000 
ep/it:1296- 131 niter:496500  2597m 51s (- 408m 7s) completed: 86%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0460  acc: 0.5954  lr: 0.0000 
ep/it:1296- 181 niter:496550  2598m 6s (- 407m 51s) completed: 86%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0467  acc: 0.6066  lr: 0.0000 
ep/it:1296- 231 niter:496600  2598m 20s (- 407m 35s) completed: 86%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0446  acc: 0.6021  lr: 0.0000 
ep/it:1296- 281 niter:496650  2598m 34s (- 407m 19s) completed: 86%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0453  acc: 0.6001  lr: 0.0000 
ep/it:1296- 331 niter:496700  2598m 49s (- 407m 3s) completed: 86%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0464  acc: 0.5986  lr: 0.0000 
ep/it:1296- 381 niter:496750  2599m 3s (- 406m 47s) completed: 86%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0450  acc: 0.6049  lr: 0.0000 
Validation loss:1.610, accuracy:0.559
ep/it:1297-  48 niter:496800  2599m 20s (- 406m 32s) completed: 86%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0459  acc: 0.6050  lr: 0.0000 
ep/it:1297-  98 niter:496850  2599m 34s (- 406m 16s) completed: 86%) loss_emb: 0.0000  loss: 1.3464  loss_TTT: 0.0451  acc: 0.6067  lr: 0.0000 
ep/it:1297- 148 niter:496900  2599m 48s (- 406m 0s) completed: 86%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0459  acc: 0.6073  lr: 0.0000 
ep/it:1297- 198 niter:496950  2600m 2s (- 405m 44s) completed: 86%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0469  acc: 0.6038  lr: 0.0000 
ep/it:1297- 248 niter:497000  2600m 16s (- 405m 28s) completed: 86%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0444  acc: 0.6023  lr: 0.0000 
ep/it:1297- 298 niter:497050  2600m 31s (- 405m 12s) completed: 86%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0451  acc: 0.6027  lr: 0.0000 
ep/it:1297- 348 niter:497100  2600m 45s (- 404m 56s) completed: 86%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0443  acc: 0.6012  lr: 0.0000 
Validation loss:1.557, accuracy:0.570
ep/it:1298-  15 niter:497150  2601m 2s (- 404m 41s) completed: 86%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0469  acc: 0.5984  lr: 0.0000 
ep/it:1298-  65 niter:497200  2601m 16s (- 404m 25s) completed: 86%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0480  acc: 0.6017  lr: 0.0000 
ep/it:1298- 115 niter:497250  2601m 30s (- 404m 9s) completed: 86%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0456  acc: 0.6057  lr: 0.0000 
ep/it:1298- 165 niter:497300  2601m 44s (- 403m 53s) completed: 86%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0447  acc: 0.6066  lr: 0.0000 
ep/it:1298- 215 niter:497350  2601m 58s (- 403m 37s) completed: 86%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0455  acc: 0.5941  lr: 0.0000 
ep/it:1298- 265 niter:497400  2602m 12s (- 403m 21s) completed: 86%) loss_emb: 0.0000  loss: 1.3538  loss_TTT: 0.0452  acc: 0.6052  lr: 0.0000 
ep/it:1298- 315 niter:497450  2602m 26s (- 403m 5s) completed: 86%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0440  acc: 0.5993  lr: 0.0000 
ep/it:1298- 365 niter:497500  2602m 40s (- 402m 49s) completed: 86%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0459  acc: 0.5990  lr: 0.0000 
Validation loss:1.556, accuracy:0.574
ep/it:1299-  32 niter:497550  2602m 58s (- 402m 34s) completed: 86%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0445  acc: 0.6013  lr: 0.0000 
ep/it:1299-  82 niter:497600  2603m 12s (- 402m 18s) completed: 86%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0461  acc: 0.6002  lr: 0.0000 
ep/it:1299- 132 niter:497650  2603m 26s (- 402m 2s) completed: 86%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0460  acc: 0.6074  lr: 0.0000 
ep/it:1299- 182 niter:497700  2603m 40s (- 401m 46s) completed: 86%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0449  acc: 0.6054  lr: 0.0000 
ep/it:1299- 232 niter:497750  2603m 54s (- 401m 30s) completed: 86%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0457  acc: 0.5989  lr: 0.0000 
ep/it:1299- 282 niter:497800  2604m 8s (- 401m 14s) completed: 86%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0434  acc: 0.6039  lr: 0.0000 
ep/it:1299- 332 niter:497850  2604m 22s (- 400m 58s) completed: 86%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0463  acc: 0.6047  lr: 0.0000 
ep/it:1299- 382 niter:497900  2604m 36s (- 400m 42s) completed: 86%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0450  acc: 0.6023  lr: 0.0000 
Validation loss:1.565, accuracy:0.570

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.09it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.75642060674727 avg: 38.75642060674727
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.063844847492874 avg: 38.91013272712007
--> 	 Eva. Repeat 0 :, FID. 0.1028, Diversity Real. 9.5186, Diversity. 9.6394, R_precision_real. [0.51855469 0.69921875 0.79394531], R_precision. [0.50878906 0.69042969 0.79492188], matching_score_real. 2.8968, matching_score_pred. 2.8399, skate_ratio. 0.0486, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0151 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0269 
ep/it:1300-  49 niter:497950  2606m 12s (- 400m 39s) completed: 86%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0464  acc: 0.5998  lr: 0.0000 
ep/it:1300-  99 niter:498000  2606m 26s (- 400m 23s) completed: 86%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0444  acc: 0.6043  lr: 0.0000 
ep/it:1300- 149 niter:498050  2606m 41s (- 400m 7s) completed: 86%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0453  acc: 0.6026  lr: 0.0000 
ep/it:1300- 199 niter:498100  2606m 55s (- 399m 51s) completed: 86%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0447  acc: 0.6022  lr: 0.0000 
ep/it:1300- 249 niter:498150  2607m 9s (- 399m 35s) completed: 86%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0441  acc: 0.6058  lr: 0.0000 
ep/it:1300- 299 niter:498200  2607m 23s (- 399m 19s) completed: 86%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0425  acc: 0.6058  lr: 0.0000 
ep/it:1300- 349 niter:498250  2607m 37s (- 399m 3s) completed: 86%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0454  acc: 0.6035  lr: 0.0000 
Validation loss:1.540, accuracy:0.574
ep/it:1301-  16 niter:498300  2607m 53s (- 398m 47s) completed: 86%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0448  acc: 0.6034  lr: 0.0000 
ep/it:1301-  66 niter:498350  2608m 7s (- 398m 31s) completed: 86%) loss_emb: 0.0000  loss: 1.3430  loss_TTT: 0.0439  acc: 0.6082  lr: 0.0000 
ep/it:1301- 116 niter:498400  2608m 21s (- 398m 16s) completed: 86%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0451  acc: 0.6009  lr: 0.0000 
ep/it:1301- 166 niter:498450  2608m 36s (- 398m 0s) completed: 86%) loss_emb: 0.0000  loss: 1.3520  loss_TTT: 0.0438  acc: 0.6065  lr: 0.0000 
ep/it:1301- 216 niter:498500  2608m 50s (- 397m 44s) completed: 86%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0454  acc: 0.5995  lr: 0.0000 
ep/it:1301- 266 niter:498550  2609m 5s (- 397m 28s) completed: 86%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0443  acc: 0.6065  lr: 0.0000 
ep/it:1301- 316 niter:498600  2609m 19s (- 397m 12s) completed: 86%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0449  acc: 0.6023  lr: 0.0000 
ep/it:1301- 366 niter:498650  2609m 32s (- 396m 56s) completed: 86%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0443  acc: 0.6059  lr: 0.0000 
Validation loss:1.558, accuracy:0.571
ep/it:1302-  33 niter:498700  2609m 49s (- 396m 40s) completed: 86%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0468  acc: 0.6066  lr: 0.0000 
ep/it:1302-  83 niter:498750  2610m 3s (- 396m 24s) completed: 86%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0446  acc: 0.6033  lr: 0.0000 
ep/it:1302- 133 niter:498800  2610m 17s (- 396m 8s) completed: 86%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0451  acc: 0.6053  lr: 0.0000 
ep/it:1302- 183 niter:498850  2610m 31s (- 395m 53s) completed: 86%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0447  acc: 0.6029  lr: 0.0000 
ep/it:1302- 233 niter:498900  2610m 45s (- 395m 37s) completed: 86%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0442  acc: 0.6048  lr: 0.0000 
ep/it:1302- 283 niter:498950  2610m 59s (- 395m 21s) completed: 86%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0447  acc: 0.5951  lr: 0.0000 
ep/it:1302- 333 niter:499000  2611m 13s (- 395m 5s) completed: 86%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0452  acc: 0.6016  lr: 0.0000 
Validation loss:1.590, accuracy:0.563
ep/it:1303-   0 niter:499050  2611m 30s (- 394m 49s) completed: 86%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0445  acc: 0.5987  lr: 0.0000 
ep/it:1303-  50 niter:499100  2611m 45s (- 394m 33s) completed: 86%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0445  acc: 0.6018  lr: 0.0000 
ep/it:1303- 100 niter:499150  2611m 59s (- 394m 17s) completed: 86%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0451  acc: 0.6034  lr: 0.0000 
ep/it:1303- 150 niter:499200  2612m 13s (- 394m 1s) completed: 86%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0449  acc: 0.6050  lr: 0.0000 
ep/it:1303- 200 niter:499250  2612m 28s (- 393m 46s) completed: 86%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0440  acc: 0.6011  lr: 0.0000 
ep/it:1303- 250 niter:499300  2612m 41s (- 393m 30s) completed: 86%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0453  acc: 0.6067  lr: 0.0000 
ep/it:1303- 300 niter:499350  2612m 56s (- 393m 14s) completed: 86%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0427  acc: 0.6050  lr: 0.0000 
ep/it:1303- 350 niter:499400  2613m 11s (- 392m 58s) completed: 86%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0438  acc: 0.6027  lr: 0.0000 
Validation loss:1.593, accuracy:0.562
ep/it:1304-  17 niter:499450  2613m 27s (- 392m 42s) completed: 86%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0445  acc: 0.6002  lr: 0.0000 
ep/it:1304-  67 niter:499500  2613m 41s (- 392m 26s) completed: 86%) loss_emb: 0.0000  loss: 1.3329  loss_TTT: 0.0439  acc: 0.6115  lr: 0.0000 
ep/it:1304- 117 niter:499550  2613m 56s (- 392m 10s) completed: 86%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0443  acc: 0.5993  lr: 0.0000 
ep/it:1304- 167 niter:499600  2614m 10s (- 391m 55s) completed: 86%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0444  acc: 0.6027  lr: 0.0000 
ep/it:1304- 217 niter:499650  2614m 24s (- 391m 39s) completed: 86%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0448  acc: 0.5993  lr: 0.0000 
ep/it:1304- 267 niter:499700  2614m 38s (- 391m 23s) completed: 86%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0440  acc: 0.6011  lr: 0.0000 
ep/it:1304- 317 niter:499750  2614m 52s (- 391m 7s) completed: 86%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0454  acc: 0.6028  lr: 0.0000 
ep/it:1304- 367 niter:499800  2615m 6s (- 390m 51s) completed: 86%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0438  acc: 0.5921  lr: 0.0000 
Validation loss:1.558, accuracy:0.571
ep/it:1305-  34 niter:499850  2615m 23s (- 390m 35s) completed: 87%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0435  acc: 0.6036  lr: 0.0000 
ep/it:1305-  84 niter:499900  2615m 37s (- 390m 19s) completed: 87%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0444  acc: 0.6002  lr: 0.0000 
ep/it:1305- 134 niter:499950  2615m 51s (- 390m 3s) completed: 87%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0440  acc: 0.6001  lr: 0.0000 
ep/it:1305- 184 niter:500000  2616m 6s (- 389m 47s) completed: 87%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0443  acc: 0.5975  lr: 0.0000 
ep/it:1305- 234 niter:500050  2616m 20s (- 389m 32s) completed: 87%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0444  acc: 0.6004  lr: 0.0000 
ep/it:1305- 284 niter:500100  2616m 34s (- 389m 16s) completed: 87%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0452  acc: 0.6006  lr: 0.0000 
ep/it:1305- 334 niter:500150  2616m 48s (- 389m 0s) completed: 87%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0453  acc: 0.5997  lr: 0.0000 
Validation loss:1.543, accuracy:0.574
ep/it:1306-   1 niter:500200  2617m 5s (- 388m 44s) completed: 87%) loss_emb: 0.0000  loss: 1.3506  loss_TTT: 0.0448  acc: 0.6048  lr: 0.0000 
ep/it:1306-  51 niter:500250  2617m 19s (- 388m 28s) completed: 87%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0451  acc: 0.5973  lr: 0.0000 
ep/it:1306- 101 niter:500300  2617m 33s (- 388m 12s) completed: 87%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0441  acc: 0.6056  lr: 0.0000 
ep/it:1306- 151 niter:500350  2617m 47s (- 387m 56s) completed: 87%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0457  acc: 0.6016  lr: 0.0000 
ep/it:1306- 201 niter:500400  2618m 2s (- 387m 40s) completed: 87%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0463  acc: 0.5935  lr: 0.0000 
ep/it:1306- 251 niter:500450  2618m 16s (- 387m 25s) completed: 87%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0434  acc: 0.6030  lr: 0.0000 
ep/it:1306- 301 niter:500500  2618m 30s (- 387m 9s) completed: 87%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0444  acc: 0.6004  lr: 0.0000 
ep/it:1306- 351 niter:500550  2618m 45s (- 386m 53s) completed: 87%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0428  acc: 0.5990  lr: 0.0000 
Validation loss:1.591, accuracy:0.563
ep/it:1307-  18 niter:500600  2619m 2s (- 386m 37s) completed: 87%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0450  acc: 0.5969  lr: 0.0000 
ep/it:1307-  68 niter:500650  2619m 16s (- 386m 21s) completed: 87%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0460  acc: 0.5975  lr: 0.0000 
ep/it:1307- 118 niter:500700  2619m 30s (- 386m 6s) completed: 87%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0442  acc: 0.6048  lr: 0.0000 
ep/it:1307- 168 niter:500750  2619m 44s (- 385m 50s) completed: 87%) loss_emb: 0.0000  loss: 1.3416  loss_TTT: 0.0453  acc: 0.6083  lr: 0.0000 
ep/it:1307- 218 niter:500800  2619m 58s (- 385m 34s) completed: 87%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0475  acc: 0.5996  lr: 0.0000 
ep/it:1307- 268 niter:500850  2620m 13s (- 385m 18s) completed: 87%) loss_emb: 0.0000  loss: 1.3558  loss_TTT: 0.0469  acc: 0.6048  lr: 0.0000 
ep/it:1307- 318 niter:500900  2620m 27s (- 385m 2s) completed: 87%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0469  acc: 0.5992  lr: 0.0000 
ep/it:1307- 368 niter:500950  2620m 41s (- 384m 46s) completed: 87%) loss_emb: 0.0000  loss: 1.3491  loss_TTT: 0.0473  acc: 0.6077  lr: 0.0000 
Validation loss:1.595, accuracy:0.563
ep/it:1308-  35 niter:501000  2620m 58s (- 384m 30s) completed: 87%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0450  acc: 0.6044  lr: 0.0000 
ep/it:1308-  85 niter:501050  2621m 13s (- 384m 15s) completed: 87%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0480  acc: 0.5946  lr: 0.0000 
ep/it:1308- 135 niter:501100  2621m 28s (- 383m 59s) completed: 87%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0465  acc: 0.6031  lr: 0.0000 
ep/it:1308- 185 niter:501150  2621m 42s (- 383m 43s) completed: 87%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0477  acc: 0.6037  lr: 0.0000 
ep/it:1308- 235 niter:501200  2621m 57s (- 383m 27s) completed: 87%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0466  acc: 0.6002  lr: 0.0000 
ep/it:1308- 285 niter:501250  2622m 11s (- 383m 11s) completed: 87%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0476  acc: 0.5938  lr: 0.0000 
ep/it:1308- 335 niter:501300  2622m 26s (- 382m 55s) completed: 87%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0461  acc: 0.6054  lr: 0.0000 
Validation loss:1.592, accuracy:0.565
ep/it:1309-   2 niter:501350  2622m 43s (- 382m 40s) completed: 87%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0461  acc: 0.5995  lr: 0.0000 
ep/it:1309-  52 niter:501400  2622m 57s (- 382m 24s) completed: 87%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0490  acc: 0.5970  lr: 0.0000 
ep/it:1309- 102 niter:501450  2623m 12s (- 382m 8s) completed: 87%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0475  acc: 0.6054  lr: 0.0000 
ep/it:1309- 152 niter:501500  2623m 27s (- 381m 52s) completed: 87%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0471  acc: 0.6028  lr: 0.0000 
ep/it:1309- 202 niter:501550  2623m 41s (- 381m 36s) completed: 87%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0478  acc: 0.5999  lr: 0.0000 
ep/it:1309- 252 niter:501600  2623m 56s (- 381m 21s) completed: 87%) loss_emb: 0.0000  loss: 1.3756  loss_TTT: 0.0487  acc: 0.6014  lr: 0.0000 
ep/it:1309- 302 niter:501650  2624m 11s (- 381m 5s) completed: 87%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0480  acc: 0.6043  lr: 0.0000 
ep/it:1309- 352 niter:501700  2624m 25s (- 380m 49s) completed: 87%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0465  acc: 0.5993  lr: 0.0000 
Validation loss:1.554, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.76it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.52s/it]
 68%|██████▊   | 32/47 [01:19<00:37,  2.49s/it]
100%|██████████| 47/47 [01:19<00:00,  1.69s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.737652582116425 avg: 38.737652582116425
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.12337250355631 avg: 38.93051254283637
--> 	 Eva. Repeat 0 :, FID. 0.0681, Diversity Real. 9.3224, Diversity. 9.4787, R_precision_real. [0.50097656 0.70214844 0.79980469], R_precision. [0.50878906 0.69433594 0.79394531], matching_score_real. 2.9378, matching_score_pred. 2.9546, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0449 (traj_fail_50cm (Traj err)): 0.0029 (kps_fail_20cm): 0.0084 (kps_fail_50cm (Loc. err)): 0.0004 (kps_mean_err(m) (Avg. err)): 0.0264 
ep/it:1310-  19 niter:501750  2626m 2s (- 380m 45s) completed: 87%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0452  acc: 0.6003  lr: 0.0000 
ep/it:1310-  69 niter:501800  2626m 16s (- 380m 29s) completed: 87%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0465  acc: 0.6055  lr: 0.0000 
ep/it:1310- 119 niter:501850  2626m 31s (- 380m 13s) completed: 87%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0449  acc: 0.6038  lr: 0.0000 
ep/it:1310- 169 niter:501900  2626m 45s (- 379m 57s) completed: 87%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0464  acc: 0.5978  lr: 0.0000 
ep/it:1310- 219 niter:501950  2627m 0s (- 379m 41s) completed: 87%) loss_emb: 0.0000  loss: 1.3468  loss_TTT: 0.0442  acc: 0.6069  lr: 0.0000 
ep/it:1310- 269 niter:502000  2627m 14s (- 379m 25s) completed: 87%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0451  acc: 0.6050  lr: 0.0000 
ep/it:1310- 319 niter:502050  2627m 29s (- 379m 10s) completed: 87%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0449  acc: 0.5969  lr: 0.0000 
ep/it:1310- 369 niter:502100  2627m 43s (- 378m 54s) completed: 87%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0448  acc: 0.6018  lr: 0.0000 
Validation loss:1.560, accuracy:0.573
ep/it:1311-  36 niter:502150  2628m 0s (- 378m 38s) completed: 87%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0442  acc: 0.6045  lr: 0.0000 
ep/it:1311-  86 niter:502200  2628m 14s (- 378m 22s) completed: 87%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0439  acc: 0.5954  lr: 0.0000 
ep/it:1311- 136 niter:502250  2628m 28s (- 378m 6s) completed: 87%) loss_emb: 0.0000  loss: 1.3416  loss_TTT: 0.0469  acc: 0.6077  lr: 0.0000 
ep/it:1311- 186 niter:502300  2628m 42s (- 377m 50s) completed: 87%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0447  acc: 0.6020  lr: 0.0000 
ep/it:1311- 236 niter:502350  2628m 56s (- 377m 34s) completed: 87%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0456  acc: 0.6000  lr: 0.0000 
ep/it:1311- 286 niter:502400  2629m 10s (- 377m 19s) completed: 87%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0432  acc: 0.6000  lr: 0.0000 
ep/it:1311- 336 niter:502450  2629m 24s (- 377m 3s) completed: 87%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0462  acc: 0.6053  lr: 0.0000 
Validation loss:1.568, accuracy:0.572
ep/it:1312-   3 niter:502500  2629m 41s (- 376m 47s) completed: 87%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0457  acc: 0.5939  lr: 0.0000 
ep/it:1312-  53 niter:502550  2629m 56s (- 376m 31s) completed: 87%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0432  acc: 0.6005  lr: 0.0000 
ep/it:1312- 103 niter:502600  2630m 11s (- 376m 15s) completed: 87%) loss_emb: 0.0000  loss: 1.3528  loss_TTT: 0.0444  acc: 0.6052  lr: 0.0000 
ep/it:1312- 153 niter:502650  2630m 25s (- 375m 59s) completed: 87%) loss_emb: 0.0000  loss: 1.3378  loss_TTT: 0.0452  acc: 0.6102  lr: 0.0000 
ep/it:1312- 203 niter:502700  2630m 39s (- 375m 44s) completed: 87%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0454  acc: 0.6090  lr: 0.0000 
ep/it:1312- 253 niter:502750  2630m 54s (- 375m 28s) completed: 87%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0434  acc: 0.6014  lr: 0.0000 
ep/it:1312- 303 niter:502800  2631m 8s (- 375m 12s) completed: 87%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0439  acc: 0.6034  lr: 0.0000 
ep/it:1312- 353 niter:502850  2631m 23s (- 374m 56s) completed: 87%) loss_emb: 0.0000  loss: 1.3414  loss_TTT: 0.0448  acc: 0.6090  lr: 0.0000 
Validation loss:1.525, accuracy:0.580
ep/it:1313-  20 niter:502900  2631m 41s (- 374m 41s) completed: 87%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0441  acc: 0.5930  lr: 0.0000 
ep/it:1313-  70 niter:502950  2631m 55s (- 374m 25s) completed: 87%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0465  acc: 0.5998  lr: 0.0000 
ep/it:1313- 120 niter:503000  2632m 10s (- 374m 9s) completed: 87%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0436  acc: 0.6056  lr: 0.0000 
ep/it:1313- 170 niter:503050  2632m 25s (- 373m 53s) completed: 87%) loss_emb: 0.0000  loss: 1.3795  loss_TTT: 0.0448  acc: 0.5996  lr: 0.0000 
ep/it:1313- 220 niter:503100  2632m 39s (- 373m 37s) completed: 87%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0436  acc: 0.6016  lr: 0.0000 
ep/it:1313- 270 niter:503150  2632m 54s (- 373m 21s) completed: 87%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0452  acc: 0.5930  lr: 0.0000 
ep/it:1313- 320 niter:503200  2633m 9s (- 373m 6s) completed: 87%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0442  acc: 0.6031  lr: 0.0000 
ep/it:1313- 370 niter:503250  2633m 23s (- 372m 50s) completed: 87%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0462  acc: 0.6024  lr: 0.0000 
Validation loss:1.568, accuracy:0.568
ep/it:1314-  37 niter:503300  2633m 40s (- 372m 34s) completed: 87%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0452  acc: 0.5993  lr: 0.0000 
ep/it:1314-  87 niter:503350  2633m 54s (- 372m 18s) completed: 87%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0452  acc: 0.6054  lr: 0.0000 
ep/it:1314- 137 niter:503400  2634m 8s (- 372m 2s) completed: 87%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0463  acc: 0.5948  lr: 0.0000 
ep/it:1314- 187 niter:503450  2634m 23s (- 371m 46s) completed: 87%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0434  acc: 0.6039  lr: 0.0000 
ep/it:1314- 237 niter:503500  2634m 37s (- 371m 30s) completed: 87%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0460  acc: 0.5998  lr: 0.0000 
ep/it:1314- 287 niter:503550  2634m 52s (- 371m 15s) completed: 87%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0436  acc: 0.5962  lr: 0.0000 
ep/it:1314- 337 niter:503600  2635m 5s (- 370m 59s) completed: 87%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0469  acc: 0.6003  lr: 0.0000 
Validation loss:1.578, accuracy:0.567
ep/it:1315-   4 niter:503650  2635m 22s (- 370m 43s) completed: 87%) loss_emb: 0.0000  loss: 1.3468  loss_TTT: 0.0437  acc: 0.6068  lr: 0.0000 
ep/it:1315-  54 niter:503700  2635m 37s (- 370m 27s) completed: 87%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0438  acc: 0.6012  lr: 0.0000 
ep/it:1315- 104 niter:503750  2635m 50s (- 370m 11s) completed: 87%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0447  acc: 0.6029  lr: 0.0000 
ep/it:1315- 154 niter:503800  2636m 5s (- 369m 55s) completed: 87%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0431  acc: 0.6041  lr: 0.0000 
ep/it:1315- 204 niter:503850  2636m 19s (- 369m 40s) completed: 87%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0441  acc: 0.6048  lr: 0.0000 
ep/it:1315- 254 niter:503900  2636m 33s (- 369m 24s) completed: 87%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0449  acc: 0.5962  lr: 0.0000 
ep/it:1315- 304 niter:503950  2636m 47s (- 369m 8s) completed: 87%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0435  acc: 0.5980  lr: 0.0000 
ep/it:1315- 354 niter:504000  2637m 1s (- 368m 52s) completed: 87%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0473  acc: 0.5967  lr: 0.0000 
Validation loss:1.546, accuracy:0.572
ep/it:1316-  21 niter:504050  2637m 18s (- 368m 36s) completed: 87%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0463  acc: 0.6063  lr: 0.0000 
ep/it:1316-  71 niter:504100  2637m 32s (- 368m 20s) completed: 87%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0451  acc: 0.5979  lr: 0.0000 
ep/it:1316- 121 niter:504150  2637m 46s (- 368m 4s) completed: 87%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0436  acc: 0.6007  lr: 0.0000 
ep/it:1316- 171 niter:504200  2638m 0s (- 367m 48s) completed: 87%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0449  acc: 0.6034  lr: 0.0000 
ep/it:1316- 221 niter:504250  2638m 14s (- 367m 32s) completed: 87%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0441  acc: 0.6043  lr: 0.0000 
ep/it:1316- 271 niter:504300  2638m 28s (- 367m 17s) completed: 87%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0438  acc: 0.6067  lr: 0.0000 
ep/it:1316- 321 niter:504350  2638m 42s (- 367m 1s) completed: 87%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0441  acc: 0.6043  lr: 0.0000 
ep/it:1316- 371 niter:504400  2638m 56s (- 366m 45s) completed: 87%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0427  acc: 0.6037  lr: 0.0000 
Validation loss:1.613, accuracy:0.556
ep/it:1317-  38 niter:504450  2639m 14s (- 366m 29s) completed: 87%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0455  acc: 0.6031  lr: 0.0000 
ep/it:1317-  88 niter:504500  2639m 28s (- 366m 13s) completed: 87%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0431  acc: 0.6000  lr: 0.0000 
ep/it:1317- 138 niter:504550  2639m 43s (- 365m 58s) completed: 87%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0439  acc: 0.6002  lr: 0.0000 
ep/it:1317- 188 niter:504600  2639m 57s (- 365m 42s) completed: 87%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0446  acc: 0.6022  lr: 0.0000 
ep/it:1317- 238 niter:504650  2640m 12s (- 365m 26s) completed: 87%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0462  acc: 0.5944  lr: 0.0000 
ep/it:1317- 288 niter:504700  2640m 27s (- 365m 10s) completed: 87%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0435  acc: 0.6032  lr: 0.0000 
ep/it:1317- 338 niter:504750  2640m 41s (- 364m 54s) completed: 87%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0440  acc: 0.6045  lr: 0.0000 
Validation loss:1.589, accuracy:0.563
ep/it:1318-   5 niter:504800  2640m 58s (- 364m 39s) completed: 87%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0450  acc: 0.5971  lr: 0.0000 
ep/it:1318-  55 niter:504850  2641m 13s (- 364m 23s) completed: 87%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0454  acc: 0.6012  lr: 0.0000 
ep/it:1318- 105 niter:504900  2641m 27s (- 364m 7s) completed: 87%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0446  acc: 0.5985  lr: 0.0000 
ep/it:1318- 155 niter:504950  2641m 42s (- 363m 51s) completed: 87%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0451  acc: 0.6049  lr: 0.0000 
ep/it:1318- 205 niter:505000  2641m 57s (- 363m 35s) completed: 87%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0439  acc: 0.5995  lr: 0.0000 
ep/it:1318- 255 niter:505050  2642m 12s (- 363m 19s) completed: 87%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0442  acc: 0.6032  lr: 0.0000 
ep/it:1318- 305 niter:505100  2642m 26s (- 363m 4s) completed: 87%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0446  acc: 0.6046  lr: 0.0000 
ep/it:1318- 355 niter:505150  2642m 41s (- 362m 48s) completed: 87%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0444  acc: 0.5995  lr: 0.0000 
Validation loss:1.593, accuracy:0.562
ep/it:1319-  22 niter:505200  2642m 59s (- 362m 32s) completed: 87%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0467  acc: 0.6030  lr: 0.0000 
ep/it:1319-  72 niter:505250  2643m 13s (- 362m 17s) completed: 87%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0435  acc: 0.5999  lr: 0.0000 
ep/it:1319- 122 niter:505300  2643m 28s (- 362m 1s) completed: 87%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0444  acc: 0.6041  lr: 0.0000 
ep/it:1319- 172 niter:505350  2643m 42s (- 361m 45s) completed: 87%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0430  acc: 0.6007  lr: 0.0000 
ep/it:1319- 222 niter:505400  2643m 57s (- 361m 29s) completed: 87%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0438  acc: 0.5951  lr: 0.0000 
ep/it:1319- 272 niter:505450  2644m 12s (- 361m 13s) completed: 87%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0442  acc: 0.5985  lr: 0.0000 
ep/it:1319- 322 niter:505500  2644m 26s (- 360m 57s) completed: 87%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0440  acc: 0.6061  lr: 0.0000 
ep/it:1319- 372 niter:505550  2644m 41s (- 360m 41s) completed: 87%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0421  acc: 0.6039  lr: 0.0000 
Validation loss:1.554, accuracy:0.574

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 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
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100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.60951071791351 avg: 38.60951071791351
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.379080921411514 avg: 38.49429581966251
--> 	 Eva. Repeat 0 :, FID. 0.0923, Diversity Real. 9.5905, Diversity. 9.7644, R_precision_real. [0.50976562 0.71289062 0.80566406], R_precision. [0.51757812 0.69042969 0.78613281], matching_score_real. 2.9013, matching_score_pred. 2.9775, skate_ratio. 0.0467, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0100 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0257 
ep/it:1320-  39 niter:505600  2646m 16s (- 360m 37s) completed: 88%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0452  acc: 0.6046  lr: 0.0000 
ep/it:1320-  89 niter:505650  2646m 31s (- 360m 21s) completed: 88%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0450  acc: 0.6025  lr: 0.0000 
ep/it:1320- 139 niter:505700  2646m 45s (- 360m 5s) completed: 88%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0447  acc: 0.6024  lr: 0.0000 
ep/it:1320- 189 niter:505750  2646m 59s (- 359m 49s) completed: 88%) loss_emb: 0.0000  loss: 1.3249  loss_TTT: 0.0445  acc: 0.6138  lr: 0.0000 
ep/it:1320- 239 niter:505800  2647m 13s (- 359m 33s) completed: 88%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0438  acc: 0.5945  lr: 0.0000 
ep/it:1320- 289 niter:505850  2647m 27s (- 359m 17s) completed: 88%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0432  acc: 0.5992  lr: 0.0000 
ep/it:1320- 339 niter:505900  2647m 42s (- 359m 1s) completed: 88%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0441  acc: 0.6025  lr: 0.0000 
Validation loss:1.526, accuracy:0.580
ep/it:1321-   6 niter:505950  2647m 58s (- 358m 46s) completed: 88%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0428  acc: 0.5963  lr: 0.0000 
ep/it:1321-  56 niter:506000  2648m 13s (- 358m 30s) completed: 88%) loss_emb: 0.0000  loss: 1.3525  loss_TTT: 0.0450  acc: 0.6065  lr: 0.0000 
ep/it:1321- 106 niter:506050  2648m 28s (- 358m 14s) completed: 88%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0433  acc: 0.6015  lr: 0.0000 
ep/it:1321- 156 niter:506100  2648m 42s (- 357m 58s) completed: 88%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0452  acc: 0.6037  lr: 0.0000 
ep/it:1321- 206 niter:506150  2648m 57s (- 357m 42s) completed: 88%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0443  acc: 0.6041  lr: 0.0000 
ep/it:1321- 256 niter:506200  2649m 11s (- 357m 26s) completed: 88%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0430  acc: 0.5919  lr: 0.0000 
ep/it:1321- 306 niter:506250  2649m 25s (- 357m 10s) completed: 88%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0440  acc: 0.6036  lr: 0.0000 
ep/it:1321- 356 niter:506300  2649m 40s (- 356m 55s) completed: 88%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0460  acc: 0.5963  lr: 0.0000 
Validation loss:1.539, accuracy:0.575
ep/it:1322-  23 niter:506350  2649m 57s (- 356m 39s) completed: 88%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0441  acc: 0.6028  lr: 0.0000 
ep/it:1322-  73 niter:506400  2650m 11s (- 356m 23s) completed: 88%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0439  acc: 0.6015  lr: 0.0000 
ep/it:1322- 123 niter:506450  2650m 25s (- 356m 7s) completed: 88%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0440  acc: 0.5970  lr: 0.0000 
ep/it:1322- 173 niter:506500  2650m 40s (- 355m 51s) completed: 88%) loss_emb: 0.0000  loss: 1.3403  loss_TTT: 0.0445  acc: 0.6102  lr: 0.0000 
ep/it:1322- 223 niter:506550  2650m 54s (- 355m 36s) completed: 88%) loss_emb: 0.0000  loss: 1.3567  loss_TTT: 0.0431  acc: 0.6040  lr: 0.0000 
ep/it:1322- 273 niter:506600  2651m 9s (- 355m 20s) completed: 88%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0451  acc: 0.6082  lr: 0.0000 
ep/it:1322- 323 niter:506650  2651m 24s (- 355m 4s) completed: 88%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0441  acc: 0.6011  lr: 0.0000 
ep/it:1322- 373 niter:506700  2651m 38s (- 354m 48s) completed: 88%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0437  acc: 0.5979  lr: 0.0000 
Validation loss:1.603, accuracy:0.560
ep/it:1323-  40 niter:506750  2651m 55s (- 354m 33s) completed: 88%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0453  acc: 0.6019  lr: 0.0000 
ep/it:1323-  90 niter:506800  2652m 10s (- 354m 17s) completed: 88%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0431  acc: 0.6065  lr: 0.0000 
ep/it:1323- 140 niter:506850  2652m 24s (- 354m 1s) completed: 88%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0447  acc: 0.6011  lr: 0.0000 
ep/it:1323- 190 niter:506900  2652m 38s (- 353m 45s) completed: 88%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0461  acc: 0.5957  lr: 0.0000 
ep/it:1323- 240 niter:506950  2652m 53s (- 353m 29s) completed: 88%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0472  acc: 0.6023  lr: 0.0000 
ep/it:1323- 290 niter:507000  2653m 8s (- 353m 13s) completed: 88%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0468  acc: 0.5923  lr: 0.0000 
ep/it:1323- 340 niter:507050  2653m 22s (- 352m 57s) completed: 88%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0475  acc: 0.6014  lr: 0.0000 
Validation loss:1.625, accuracy:0.554
ep/it:1324-   7 niter:507100  2653m 40s (- 352m 42s) completed: 88%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0477  acc: 0.6060  lr: 0.0000 
ep/it:1324-  57 niter:507150  2653m 54s (- 352m 26s) completed: 88%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0461  acc: 0.6041  lr: 0.0000 
ep/it:1324- 107 niter:507200  2654m 8s (- 352m 10s) completed: 88%) loss_emb: 0.0000  loss: 1.3450  loss_TTT: 0.0456  acc: 0.6091  lr: 0.0000 
ep/it:1324- 157 niter:507250  2654m 22s (- 351m 54s) completed: 88%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0462  acc: 0.6090  lr: 0.0000 
ep/it:1324- 207 niter:507300  2654m 37s (- 351m 38s) completed: 88%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0461  acc: 0.5951  lr: 0.0000 
ep/it:1324- 257 niter:507350  2654m 51s (- 351m 22s) completed: 88%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0477  acc: 0.5954  lr: 0.0000 
ep/it:1324- 307 niter:507400  2655m 6s (- 351m 7s) completed: 88%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0499  acc: 0.5967  lr: 0.0000 
ep/it:1324- 357 niter:507450  2655m 20s (- 350m 51s) completed: 88%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0506  acc: 0.5964  lr: 0.0000 
Validation loss:1.580, accuracy:0.567
ep/it:1325-  24 niter:507500  2655m 37s (- 350m 35s) completed: 88%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0509  acc: 0.6012  lr: 0.0000 
ep/it:1325-  74 niter:507550  2655m 51s (- 350m 19s) completed: 88%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0507  acc: 0.5985  lr: 0.0000 
ep/it:1325- 124 niter:507600  2656m 5s (- 350m 3s) completed: 88%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0517  acc: 0.5964  lr: 0.0000 
ep/it:1325- 174 niter:507650  2656m 20s (- 349m 48s) completed: 88%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0495  acc: 0.5980  lr: 0.0000 
ep/it:1325- 224 niter:507700  2656m 34s (- 349m 32s) completed: 88%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0491  acc: 0.6050  lr: 0.0000 
ep/it:1325- 274 niter:507750  2656m 48s (- 349m 16s) completed: 88%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0518  acc: 0.6006  lr: 0.0000 
ep/it:1325- 324 niter:507800  2657m 3s (- 349m 0s) completed: 88%) loss_emb: 0.0000  loss: 1.3584  loss_TTT: 0.0497  acc: 0.6068  lr: 0.0000 
ep/it:1325- 374 niter:507850  2657m 17s (- 348m 44s) completed: 88%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0492  acc: 0.5991  lr: 0.0000 
Validation loss:1.598, accuracy:0.563
ep/it:1326-  41 niter:507900  2657m 34s (- 348m 28s) completed: 88%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0491  acc: 0.6009  lr: 0.0000 
ep/it:1326-  91 niter:507950  2657m 48s (- 348m 13s) completed: 88%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0490  acc: 0.5946  lr: 0.0000 
ep/it:1326- 141 niter:508000  2658m 3s (- 347m 57s) completed: 88%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0470  acc: 0.5954  lr: 0.0000 
ep/it:1326- 191 niter:508050  2658m 17s (- 347m 41s) completed: 88%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0490  acc: 0.6053  lr: 0.0000 
ep/it:1326- 241 niter:508100  2658m 31s (- 347m 25s) completed: 88%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0518  acc: 0.6029  lr: 0.0000 
ep/it:1326- 291 niter:508150  2658m 46s (- 347m 9s) completed: 88%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0499  acc: 0.5995  lr: 0.0000 
ep/it:1326- 341 niter:508200  2659m 0s (- 346m 53s) completed: 88%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0479  acc: 0.5994  lr: 0.0000 
Validation loss:1.558, accuracy:0.574
ep/it:1327-   8 niter:508250  2659m 18s (- 346m 38s) completed: 88%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0470  acc: 0.6053  lr: 0.0000 
ep/it:1327-  58 niter:508300  2659m 32s (- 346m 22s) completed: 88%) loss_emb: 0.0000  loss: 1.4245  loss_TTT: 0.0513  acc: 0.5891  lr: 0.0000 
ep/it:1327- 108 niter:508350  2659m 47s (- 346m 6s) completed: 88%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0497  acc: 0.6017  lr: 0.0000 
ep/it:1327- 158 niter:508400  2660m 1s (- 345m 50s) completed: 88%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0487  acc: 0.6049  lr: 0.0000 
ep/it:1327- 208 niter:508450  2660m 16s (- 345m 34s) completed: 88%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0499  acc: 0.5967  lr: 0.0000 
ep/it:1327- 258 niter:508500  2660m 30s (- 345m 18s) completed: 88%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0488  acc: 0.6029  lr: 0.0000 
ep/it:1327- 308 niter:508550  2660m 44s (- 345m 3s) completed: 88%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0493  acc: 0.5956  lr: 0.0000 
ep/it:1327- 358 niter:508600  2660m 59s (- 344m 47s) completed: 88%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0485  acc: 0.6034  lr: 0.0000 
Validation loss:1.626, accuracy:0.557
ep/it:1328-  25 niter:508650  2661m 15s (- 344m 31s) completed: 88%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0486  acc: 0.6000  lr: 0.0000 
ep/it:1328-  75 niter:508700  2661m 29s (- 344m 15s) completed: 88%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0495  acc: 0.5943  lr: 0.0000 
ep/it:1328- 125 niter:508750  2661m 44s (- 343m 59s) completed: 88%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0489  acc: 0.5978  lr: 0.0000 
ep/it:1328- 175 niter:508800  2661m 58s (- 343m 44s) completed: 88%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0493  acc: 0.5965  lr: 0.0000 
ep/it:1328- 225 niter:508850  2662m 12s (- 343m 28s) completed: 88%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0478  acc: 0.5983  lr: 0.0000 
ep/it:1328- 275 niter:508900  2662m 26s (- 343m 12s) completed: 88%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0467  acc: 0.5939  lr: 0.0000 
ep/it:1328- 325 niter:508950  2662m 40s (- 342m 56s) completed: 88%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0479  acc: 0.6026  lr: 0.0000 
ep/it:1328- 375 niter:509000  2662m 54s (- 342m 40s) completed: 88%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0498  acc: 0.5973  lr: 0.0000 
Validation loss:1.600, accuracy:0.564
ep/it:1329-  42 niter:509050  2663m 12s (- 342m 24s) completed: 88%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0496  acc: 0.5962  lr: 0.0000 
ep/it:1329-  92 niter:509100  2663m 26s (- 342m 9s) completed: 88%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0466  acc: 0.6064  lr: 0.0000 
ep/it:1329- 142 niter:509150  2663m 40s (- 341m 53s) completed: 88%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0489  acc: 0.6046  lr: 0.0000 
ep/it:1329- 192 niter:509200  2663m 55s (- 341m 37s) completed: 88%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0480  acc: 0.6028  lr: 0.0000 
ep/it:1329- 242 niter:509250  2664m 9s (- 341m 21s) completed: 88%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0472  acc: 0.5962  lr: 0.0000 
ep/it:1329- 292 niter:509300  2664m 23s (- 341m 5s) completed: 88%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0479  acc: 0.5965  lr: 0.0000 
ep/it:1329- 342 niter:509350  2664m 38s (- 340m 49s) completed: 88%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0484  acc: 0.6091  lr: 0.0000 
Validation loss:1.551, accuracy:0.576

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  2%|▏         | 1/47 [00:00<00:16,  2.73it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.61020522471517 avg: 38.61020522471517
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.56030006427318 avg: 38.585252644494176
--> 	 Eva. Repeat 0 :, FID. 0.0738, Diversity Real. 9.7226, Diversity. 9.4559, R_precision_real. [0.52734375 0.72167969 0.80175781], R_precision. [0.50976562 0.71289062 0.80175781], matching_score_real. 2.9018, matching_score_pred. 2.9616, skate_ratio. 0.0436, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0664 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0134 (kps_fail_50cm (Loc. err)): 0.0012 (kps_mean_err(m) (Avg. err)): 0.0287 
ep/it:1330-   9 niter:509400  2666m 13s (- 340m 44s) completed: 88%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0464  acc: 0.6029  lr: 0.0000 
ep/it:1330-  59 niter:509450  2666m 27s (- 340m 28s) completed: 88%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0475  acc: 0.6016  lr: 0.0000 
ep/it:1330- 109 niter:509500  2666m 42s (- 340m 12s) completed: 88%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0477  acc: 0.6019  lr: 0.0000 
ep/it:1330- 159 niter:509550  2666m 56s (- 339m 56s) completed: 88%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0474  acc: 0.6008  lr: 0.0000 
ep/it:1330- 209 niter:509600  2667m 10s (- 339m 40s) completed: 88%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0464  acc: 0.6089  lr: 0.0000 
ep/it:1330- 259 niter:509650  2667m 24s (- 339m 24s) completed: 88%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0471  acc: 0.6062  lr: 0.0000 
ep/it:1330- 309 niter:509700  2667m 38s (- 339m 8s) completed: 88%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0477  acc: 0.5997  lr: 0.0000 
ep/it:1330- 359 niter:509750  2667m 52s (- 338m 52s) completed: 88%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0471  acc: 0.5985  lr: 0.0000 
Validation loss:1.625, accuracy:0.555
ep/it:1331-  26 niter:509800  2668m 9s (- 338m 37s) completed: 88%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0477  acc: 0.5987  lr: 0.0000 
ep/it:1331-  76 niter:509850  2668m 23s (- 338m 21s) completed: 88%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0475  acc: 0.5993  lr: 0.0000 
ep/it:1331- 126 niter:509900  2668m 37s (- 338m 5s) completed: 88%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0476  acc: 0.6038  lr: 0.0000 
ep/it:1331- 176 niter:509950  2668m 51s (- 337m 49s) completed: 88%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0459  acc: 0.6006  lr: 0.0000 
ep/it:1331- 226 niter:510000  2669m 6s (- 337m 33s) completed: 88%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0464  acc: 0.5997  lr: 0.0000 
ep/it:1331- 276 niter:510050  2669m 20s (- 337m 17s) completed: 88%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0460  acc: 0.5978  lr: 0.0000 
ep/it:1331- 326 niter:510100  2669m 35s (- 337m 2s) completed: 88%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0453  acc: 0.6009  lr: 0.0000 
ep/it:1331- 376 niter:510150  2669m 49s (- 336m 46s) completed: 88%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0450  acc: 0.6045  lr: 0.0000 
Validation loss:1.549, accuracy:0.573
ep/it:1332-  43 niter:510200  2670m 6s (- 336m 30s) completed: 88%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0458  acc: 0.6066  lr: 0.0000 
ep/it:1332-  93 niter:510250  2670m 19s (- 336m 14s) completed: 88%) loss_emb: 0.0000  loss: 1.3415  loss_TTT: 0.0434  acc: 0.6095  lr: 0.0000 
ep/it:1332- 143 niter:510300  2670m 34s (- 335m 58s) completed: 88%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0445  acc: 0.5976  lr: 0.0000 
ep/it:1332- 193 niter:510350  2670m 48s (- 335m 42s) completed: 88%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0446  acc: 0.6007  lr: 0.0000 
ep/it:1332- 243 niter:510400  2671m 2s (- 335m 26s) completed: 88%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0443  acc: 0.5980  lr: 0.0000 
ep/it:1332- 293 niter:510450  2671m 16s (- 335m 11s) completed: 88%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0481  acc: 0.5940  lr: 0.0000 
ep/it:1332- 343 niter:510500  2671m 30s (- 334m 55s) completed: 88%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0472  acc: 0.6003  lr: 0.0000 
Validation loss:1.594, accuracy:0.563
ep/it:1333-  10 niter:510550  2671m 47s (- 334m 39s) completed: 88%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0481  acc: 0.6005  lr: 0.0000 
ep/it:1333-  60 niter:510600  2672m 1s (- 334m 23s) completed: 88%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0446  acc: 0.6044  lr: 0.0000 
ep/it:1333- 110 niter:510650  2672m 16s (- 334m 7s) completed: 88%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0462  acc: 0.6035  lr: 0.0000 
ep/it:1333- 160 niter:510700  2672m 30s (- 333m 52s) completed: 88%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0458  acc: 0.6008  lr: 0.0000 
ep/it:1333- 210 niter:510750  2672m 45s (- 333m 36s) completed: 88%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0471  acc: 0.5964  lr: 0.0000 
ep/it:1333- 260 niter:510800  2673m 0s (- 333m 20s) completed: 88%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0463  acc: 0.5956  lr: 0.0000 
ep/it:1333- 310 niter:510850  2673m 14s (- 333m 4s) completed: 88%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0443  acc: 0.5976  lr: 0.0000 
ep/it:1333- 360 niter:510900  2673m 29s (- 332m 48s) completed: 88%) loss_emb: 0.0000  loss: 1.3541  loss_TTT: 0.0441  acc: 0.6063  lr: 0.0000 
Validation loss:1.565, accuracy:0.573
ep/it:1334-  27 niter:510950  2673m 46s (- 332m 33s) completed: 88%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0449  acc: 0.5988  lr: 0.0000 
ep/it:1334-  77 niter:511000  2673m 59s (- 332m 17s) completed: 88%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0465  acc: 0.5974  lr: 0.0000 
ep/it:1334- 127 niter:511050  2674m 15s (- 332m 1s) completed: 88%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0462  acc: 0.6020  lr: 0.0000 
ep/it:1334- 177 niter:511100  2674m 30s (- 331m 45s) completed: 88%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0450  acc: 0.6013  lr: 0.0000 
ep/it:1334- 227 niter:511150  2674m 44s (- 331m 29s) completed: 88%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0450  acc: 0.5977  lr: 0.0000 
ep/it:1334- 277 niter:511200  2674m 59s (- 331m 14s) completed: 88%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0462  acc: 0.5913  lr: 0.0000 
ep/it:1334- 327 niter:511250  2675m 14s (- 330m 58s) completed: 88%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0469  acc: 0.6017  lr: 0.0000 
ep/it:1334- 377 niter:511300  2675m 28s (- 330m 42s) completed: 88%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0459  acc: 0.6003  lr: 0.0000 
Validation loss:1.595, accuracy:0.565
ep/it:1335-  44 niter:511350  2675m 46s (- 330m 26s) completed: 89%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0500  acc: 0.6012  lr: 0.0000 
ep/it:1335-  94 niter:511400  2676m 1s (- 330m 11s) completed: 89%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0512  acc: 0.5983  lr: 0.0000 
ep/it:1335- 144 niter:511450  2676m 15s (- 329m 55s) completed: 89%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0474  acc: 0.5986  lr: 0.0000 
ep/it:1335- 194 niter:511500  2676m 30s (- 329m 39s) completed: 89%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0500  acc: 0.6002  lr: 0.0000 
ep/it:1335- 244 niter:511550  2676m 45s (- 329m 23s) completed: 89%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0494  acc: 0.6003  lr: 0.0000 
ep/it:1335- 294 niter:511600  2677m 0s (- 329m 7s) completed: 89%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0489  acc: 0.5912  lr: 0.0000 
ep/it:1335- 344 niter:511650  2677m 15s (- 328m 52s) completed: 89%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0497  acc: 0.6036  lr: 0.0000 
Validation loss:1.571, accuracy:0.568
ep/it:1336-  11 niter:511700  2677m 32s (- 328m 36s) completed: 89%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0492  acc: 0.5963  lr: 0.0000 
ep/it:1336-  61 niter:511750  2677m 46s (- 328m 20s) completed: 89%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0483  acc: 0.6024  lr: 0.0000 
ep/it:1336- 111 niter:511800  2678m 0s (- 328m 4s) completed: 89%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0491  acc: 0.5971  lr: 0.0000 
ep/it:1336- 161 niter:511850  2678m 14s (- 327m 48s) completed: 89%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0474  acc: 0.6012  lr: 0.0000 
ep/it:1336- 211 niter:511900  2678m 28s (- 327m 32s) completed: 89%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0469  acc: 0.6025  lr: 0.0000 
ep/it:1336- 261 niter:511950  2678m 42s (- 327m 17s) completed: 89%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0465  acc: 0.6017  lr: 0.0000 
ep/it:1336- 311 niter:512000  2678m 56s (- 327m 1s) completed: 89%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0484  acc: 0.6033  lr: 0.0000 
ep/it:1336- 361 niter:512050  2679m 10s (- 326m 45s) completed: 89%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0483  acc: 0.6007  lr: 0.0000 
Validation loss:1.579, accuracy:0.566
ep/it:1337-  28 niter:512100  2679m 27s (- 326m 29s) completed: 89%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0473  acc: 0.5965  lr: 0.0000 
ep/it:1337-  78 niter:512150  2679m 41s (- 326m 13s) completed: 89%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0465  acc: 0.6001  lr: 0.0000 
ep/it:1337- 128 niter:512200  2679m 56s (- 325m 57s) completed: 89%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0457  acc: 0.5952  lr: 0.0000 
ep/it:1337- 178 niter:512250  2680m 10s (- 325m 42s) completed: 89%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0458  acc: 0.6015  lr: 0.0000 
ep/it:1337- 228 niter:512300  2680m 25s (- 325m 26s) completed: 89%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0448  acc: 0.6055  lr: 0.0000 
ep/it:1337- 278 niter:512350  2680m 39s (- 325m 10s) completed: 89%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0463  acc: 0.6041  lr: 0.0000 
ep/it:1337- 328 niter:512400  2680m 54s (- 324m 54s) completed: 89%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0442  acc: 0.6053  lr: 0.0000 
ep/it:1337- 378 niter:512450  2681m 8s (- 324m 38s) completed: 89%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0454  acc: 0.5989  lr: 0.0000 
Validation loss:1.567, accuracy:0.570
ep/it:1338-  45 niter:512500  2681m 25s (- 324m 23s) completed: 89%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0447  acc: 0.5984  lr: 0.0000 
ep/it:1338-  95 niter:512550  2681m 39s (- 324m 7s) completed: 89%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0443  acc: 0.6090  lr: 0.0000 
ep/it:1338- 145 niter:512600  2681m 53s (- 323m 51s) completed: 89%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0451  acc: 0.6021  lr: 0.0000 
ep/it:1338- 195 niter:512650  2682m 7s (- 323m 35s) completed: 89%) loss_emb: 0.0000  loss: 1.3548  loss_TTT: 0.0462  acc: 0.6059  lr: 0.0000 
ep/it:1338- 245 niter:512700  2682m 21s (- 323m 19s) completed: 89%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0453  acc: 0.5997  lr: 0.0000 
ep/it:1338- 295 niter:512750  2682m 35s (- 323m 3s) completed: 89%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0448  acc: 0.5974  lr: 0.0000 
ep/it:1338- 345 niter:512800  2682m 49s (- 322m 47s) completed: 89%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0462  acc: 0.5966  lr: 0.0000 
Validation loss:1.615, accuracy:0.560
ep/it:1339-  12 niter:512850  2683m 6s (- 322m 32s) completed: 89%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0482  acc: 0.5961  lr: 0.0000 
ep/it:1339-  62 niter:512900  2683m 21s (- 322m 16s) completed: 89%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0473  acc: 0.5958  lr: 0.0000 
ep/it:1339- 112 niter:512950  2683m 35s (- 322m 0s) completed: 89%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0461  acc: 0.6052  lr: 0.0000 
ep/it:1339- 162 niter:513000  2683m 50s (- 321m 44s) completed: 89%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0468  acc: 0.5942  lr: 0.0000 
ep/it:1339- 212 niter:513050  2684m 5s (- 321m 29s) completed: 89%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0475  acc: 0.5961  lr: 0.0000 
ep/it:1339- 262 niter:513100  2684m 19s (- 321m 13s) completed: 89%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0463  acc: 0.6060  lr: 0.0000 
ep/it:1339- 312 niter:513150  2684m 33s (- 320m 57s) completed: 89%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0488  acc: 0.6019  lr: 0.0000 
ep/it:1339- 362 niter:513200  2684m 48s (- 320m 41s) completed: 89%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0474  acc: 0.5934  lr: 0.0000 
Validation loss:1.588, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.90it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.48883382230997 avg: 38.48883382230997
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.8092019604519 avg: 38.649017891380936
--> 	 Eva. Repeat 0 :, FID. 0.0912, Diversity Real. 9.1207, Diversity. 9.4029, R_precision_real. [0.50390625 0.68652344 0.79394531], R_precision. [0.50390625 0.671875   0.79296875], matching_score_real. 2.9996, matching_score_pred. 2.9829, skate_ratio. 0.0422, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0664 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0119 (kps_fail_50cm (Loc. err)): 0.0009 (kps_mean_err(m) (Avg. err)): 0.0297 
ep/it:1340-  29 niter:513250  2686m 23s (- 320m 35s) completed: 89%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0490  acc: 0.5914  lr: 0.0000 
ep/it:1340-  79 niter:513300  2686m 38s (- 320m 19s) completed: 89%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0514  acc: 0.5966  lr: 0.0000 
ep/it:1340- 129 niter:513350  2686m 52s (- 320m 3s) completed: 89%) loss_emb: 0.0000  loss: 1.4259  loss_TTT: 0.0524  acc: 0.5887  lr: 0.0000 
ep/it:1340- 179 niter:513400  2687m 6s (- 319m 47s) completed: 89%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0516  acc: 0.5962  lr: 0.0000 
ep/it:1340- 229 niter:513450  2687m 21s (- 319m 31s) completed: 89%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0518  acc: 0.5979  lr: 0.0000 
ep/it:1340- 279 niter:513500  2687m 36s (- 319m 16s) completed: 89%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0495  acc: 0.6015  lr: 0.0000 
ep/it:1340- 329 niter:513550  2687m 50s (- 319m 0s) completed: 89%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0513  acc: 0.6003  lr: 0.0000 
ep/it:1340- 379 niter:513600  2688m 5s (- 318m 44s) completed: 89%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0485  acc: 0.5999  lr: 0.0000 
Validation loss:1.604, accuracy:0.561
ep/it:1341-  46 niter:513650  2688m 22s (- 318m 28s) completed: 89%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0504  acc: 0.5873  lr: 0.0000 
ep/it:1341-  96 niter:513700  2688m 35s (- 318m 12s) completed: 89%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0481  acc: 0.5964  lr: 0.0000 
ep/it:1341- 146 niter:513750  2688m 49s (- 317m 56s) completed: 89%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0502  acc: 0.5975  lr: 0.0000 
ep/it:1341- 196 niter:513800  2689m 4s (- 317m 41s) completed: 89%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0484  acc: 0.6006  lr: 0.0000 
ep/it:1341- 246 niter:513850  2689m 17s (- 317m 25s) completed: 89%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0492  acc: 0.6015  lr: 0.0000 
ep/it:1341- 296 niter:513900  2689m 31s (- 317m 9s) completed: 89%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0479  acc: 0.6059  lr: 0.0000 
ep/it:1341- 346 niter:513950  2689m 46s (- 316m 53s) completed: 89%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0474  acc: 0.6007  lr: 0.0000 
Validation loss:1.612, accuracy:0.558
ep/it:1342-  13 niter:514000  2690m 2s (- 316m 37s) completed: 89%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0462  acc: 0.5970  lr: 0.0000 
ep/it:1342-  63 niter:514050  2690m 16s (- 316m 21s) completed: 89%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0479  acc: 0.6010  lr: 0.0000 
ep/it:1342- 113 niter:514100  2690m 30s (- 316m 6s) completed: 89%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0490  acc: 0.5965  lr: 0.0000 
ep/it:1342- 163 niter:514150  2690m 45s (- 315m 50s) completed: 89%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0494  acc: 0.5955  lr: 0.0000 
ep/it:1342- 213 niter:514200  2690m 59s (- 315m 34s) completed: 89%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0496  acc: 0.6008  lr: 0.0000 
ep/it:1342- 263 niter:514250  2691m 13s (- 315m 18s) completed: 89%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0493  acc: 0.6050  lr: 0.0000 
ep/it:1342- 313 niter:514300  2691m 28s (- 315m 2s) completed: 89%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0496  acc: 0.5976  lr: 0.0000 
ep/it:1342- 363 niter:514350  2691m 42s (- 314m 46s) completed: 89%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0489  acc: 0.5995  lr: 0.0000 
Validation loss:1.610, accuracy:0.561
ep/it:1343-  30 niter:514400  2691m 59s (- 314m 31s) completed: 89%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0488  acc: 0.5929  lr: 0.0000 
ep/it:1343-  80 niter:514450  2692m 13s (- 314m 15s) completed: 89%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0491  acc: 0.6018  lr: 0.0000 
ep/it:1343- 130 niter:514500  2692m 27s (- 313m 59s) completed: 89%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0477  acc: 0.5999  lr: 0.0000 
ep/it:1343- 180 niter:514550  2692m 42s (- 313m 43s) completed: 89%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0469  acc: 0.6003  lr: 0.0000 
ep/it:1343- 230 niter:514600  2692m 57s (- 313m 27s) completed: 89%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0480  acc: 0.6057  lr: 0.0000 
ep/it:1343- 280 niter:514650  2693m 12s (- 313m 12s) completed: 89%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0460  acc: 0.6001  lr: 0.0000 
ep/it:1343- 330 niter:514700  2693m 27s (- 312m 56s) completed: 89%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0464  acc: 0.6041  lr: 0.0000 
ep/it:1343- 380 niter:514750  2693m 42s (- 312m 40s) completed: 89%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0478  acc: 0.6072  lr: 0.0000 
Validation loss:1.612, accuracy:0.559
ep/it:1344-  47 niter:514800  2693m 59s (- 312m 24s) completed: 89%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0494  acc: 0.6014  lr: 0.0000 
ep/it:1344-  97 niter:514850  2694m 13s (- 312m 9s) completed: 89%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0472  acc: 0.6033  lr: 0.0000 
ep/it:1344- 147 niter:514900  2694m 28s (- 311m 53s) completed: 89%) loss_emb: 0.0000  loss: 1.3515  loss_TTT: 0.0474  acc: 0.6073  lr: 0.0000 
ep/it:1344- 197 niter:514950  2694m 43s (- 311m 37s) completed: 89%) loss_emb: 0.0000  loss: 1.3499  loss_TTT: 0.0469  acc: 0.6090  lr: 0.0000 
ep/it:1344- 247 niter:515000  2694m 58s (- 311m 21s) completed: 89%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0479  acc: 0.5918  lr: 0.0000 
ep/it:1344- 297 niter:515050  2695m 13s (- 311m 5s) completed: 89%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0466  acc: 0.6020  lr: 0.0000 
ep/it:1344- 347 niter:515100  2695m 27s (- 310m 50s) completed: 89%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0475  acc: 0.6026  lr: 0.0000 
Validation loss:1.606, accuracy:0.559
ep/it:1345-  14 niter:515150  2695m 44s (- 310m 34s) completed: 89%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0488  acc: 0.5907  lr: 0.0000 
ep/it:1345-  64 niter:515200  2695m 58s (- 310m 18s) completed: 89%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0477  acc: 0.5999  lr: 0.0000 
ep/it:1345- 114 niter:515250  2696m 13s (- 310m 2s) completed: 89%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0478  acc: 0.6028  lr: 0.0000 
ep/it:1345- 164 niter:515300  2696m 27s (- 309m 46s) completed: 89%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0496  acc: 0.5928  lr: 0.0000 
ep/it:1345- 214 niter:515350  2696m 42s (- 309m 31s) completed: 89%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0484  acc: 0.6041  lr: 0.0000 
ep/it:1345- 264 niter:515400  2696m 57s (- 309m 15s) completed: 89%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0483  acc: 0.5951  lr: 0.0000 
ep/it:1345- 314 niter:515450  2697m 11s (- 308m 59s) completed: 89%) loss_emb: 0.0000  loss: 1.3595  loss_TTT: 0.0467  acc: 0.6055  lr: 0.0000 
ep/it:1345- 364 niter:515500  2697m 26s (- 308m 43s) completed: 89%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0485  acc: 0.6048  lr: 0.0000 
Validation loss:1.580, accuracy:0.569
ep/it:1346-  31 niter:515550  2697m 43s (- 308m 28s) completed: 89%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0485  acc: 0.6020  lr: 0.0000 
ep/it:1346-  81 niter:515600  2697m 57s (- 308m 12s) completed: 89%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0476  acc: 0.5972  lr: 0.0000 
ep/it:1346- 131 niter:515650  2698m 11s (- 307m 56s) completed: 89%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0474  acc: 0.5974  lr: 0.0000 
ep/it:1346- 181 niter:515700  2698m 26s (- 307m 40s) completed: 89%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0462  acc: 0.6014  lr: 0.0000 
ep/it:1346- 231 niter:515750  2698m 40s (- 307m 24s) completed: 89%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0481  acc: 0.5933  lr: 0.0000 
ep/it:1346- 281 niter:515800  2698m 54s (- 307m 8s) completed: 89%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0467  acc: 0.6006  lr: 0.0000 
ep/it:1346- 331 niter:515850  2699m 8s (- 306m 52s) completed: 89%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0477  acc: 0.5989  lr: 0.0000 
ep/it:1346- 381 niter:515900  2699m 22s (- 306m 36s) completed: 89%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0459  acc: 0.6090  lr: 0.0000 
Validation loss:1.594, accuracy:0.567
ep/it:1347-  48 niter:515950  2699m 39s (- 306m 21s) completed: 89%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0469  acc: 0.6048  lr: 0.0000 
ep/it:1347-  98 niter:516000  2699m 54s (- 306m 5s) completed: 89%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0493  acc: 0.6020  lr: 0.0000 
ep/it:1347- 148 niter:516050  2700m 9s (- 305m 49s) completed: 89%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0472  acc: 0.5992  lr: 0.0000 
ep/it:1347- 198 niter:516100  2700m 23s (- 305m 34s) completed: 89%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0471  acc: 0.5988  lr: 0.0000 
ep/it:1347- 248 niter:516150  2700m 38s (- 305m 18s) completed: 89%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0483  acc: 0.6031  lr: 0.0000 
ep/it:1347- 298 niter:516200  2700m 53s (- 305m 2s) completed: 89%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0466  acc: 0.6002  lr: 0.0000 
ep/it:1347- 348 niter:516250  2701m 7s (- 304m 46s) completed: 89%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0466  acc: 0.5965  lr: 0.0000 
Validation loss:1.623, accuracy:0.556
ep/it:1348-  15 niter:516300  2701m 24s (- 304m 31s) completed: 89%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0491  acc: 0.5983  lr: 0.0000 
ep/it:1348-  65 niter:516350  2701m 39s (- 304m 15s) completed: 89%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0480  acc: 0.6045  lr: 0.0000 
ep/it:1348- 115 niter:516400  2701m 53s (- 303m 59s) completed: 89%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0464  acc: 0.5994  lr: 0.0000 
ep/it:1348- 165 niter:516450  2702m 8s (- 303m 43s) completed: 89%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0482  acc: 0.6083  lr: 0.0000 
ep/it:1348- 215 niter:516500  2702m 22s (- 303m 27s) completed: 89%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0480  acc: 0.5993  lr: 0.0000 
ep/it:1348- 265 niter:516550  2702m 37s (- 303m 11s) completed: 89%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0456  acc: 0.5992  lr: 0.0000 
ep/it:1348- 315 niter:516600  2702m 51s (- 302m 56s) completed: 89%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0466  acc: 0.6073  lr: 0.0000 
ep/it:1348- 365 niter:516650  2703m 6s (- 302m 40s) completed: 89%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0466  acc: 0.6016  lr: 0.0000 
Validation loss:1.611, accuracy:0.560
ep/it:1349-  32 niter:516700  2703m 23s (- 302m 24s) completed: 89%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0476  acc: 0.5939  lr: 0.0000 
ep/it:1349-  82 niter:516750  2703m 37s (- 302m 8s) completed: 89%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0475  acc: 0.5941  lr: 0.0000 
ep/it:1349- 132 niter:516800  2703m 51s (- 301m 52s) completed: 89%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0480  acc: 0.5866  lr: 0.0000 
ep/it:1349- 182 niter:516850  2704m 5s (- 301m 37s) completed: 89%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0492  acc: 0.6040  lr: 0.0000 
ep/it:1349- 232 niter:516900  2704m 19s (- 301m 21s) completed: 89%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0476  acc: 0.6058  lr: 0.0000 
ep/it:1349- 282 niter:516950  2704m 33s (- 301m 5s) completed: 89%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0470  acc: 0.6036  lr: 0.0000 
ep/it:1349- 332 niter:517000  2704m 47s (- 300m 49s) completed: 89%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0478  acc: 0.5997  lr: 0.0000 
ep/it:1349- 382 niter:517050  2705m 2s (- 300m 33s) completed: 90%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0497  acc: 0.6040  lr: 0.0000 
Validation loss:1.627, accuracy:0.553

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.89it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.97435001283884 avg: 38.97435001283884
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.43787841591984 avg: 38.70611421437934
--> 	 Eva. Repeat 0 :, FID. 0.1179, Diversity Real. 9.2967, Diversity. 9.3353, R_precision_real. [0.49707031 0.6875     0.79785156], R_precision. [0.5078125  0.70898438 0.796875  ], matching_score_real. 2.9577, matching_score_pred. 2.9421, skate_ratio. 0.0480, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0654 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0129 (kps_fail_50cm (Loc. err)): 0.0023 (kps_mean_err(m) (Avg. err)): 0.0287 
ep/it:1350-  49 niter:517100  2706m 38s (- 300m 26s) completed: 90%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0492  acc: 0.5959  lr: 0.0000 
ep/it:1350-  99 niter:517150  2706m 53s (- 300m 11s) completed: 90%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0489  acc: 0.5978  lr: 0.0000 
ep/it:1350- 149 niter:517200  2707m 7s (- 299m 55s) completed: 90%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0484  acc: 0.6065  lr: 0.0000 
ep/it:1350- 199 niter:517250  2707m 22s (- 299m 39s) completed: 90%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0474  acc: 0.5962  lr: 0.0000 
ep/it:1350- 249 niter:517300  2707m 36s (- 299m 23s) completed: 90%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0503  acc: 0.5959  lr: 0.0000 
ep/it:1350- 299 niter:517350  2707m 50s (- 299m 7s) completed: 90%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0483  acc: 0.5981  lr: 0.0000 
ep/it:1350- 349 niter:517400  2708m 5s (- 298m 51s) completed: 90%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0490  acc: 0.6027  lr: 0.0000 
Validation loss:1.617, accuracy:0.560
ep/it:1351-  16 niter:517450  2708m 22s (- 298m 36s) completed: 90%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0481  acc: 0.5975  lr: 0.0000 
ep/it:1351-  66 niter:517500  2708m 37s (- 298m 20s) completed: 90%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0506  acc: 0.5974  lr: 0.0000 
ep/it:1351- 116 niter:517550  2708m 52s (- 298m 4s) completed: 90%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0478  acc: 0.5934  lr: 0.0000 
ep/it:1351- 166 niter:517600  2709m 7s (- 297m 48s) completed: 90%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0492  acc: 0.5939  lr: 0.0000 
ep/it:1351- 216 niter:517650  2709m 22s (- 297m 33s) completed: 90%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0486  acc: 0.5957  lr: 0.0000 
ep/it:1351- 266 niter:517700  2709m 36s (- 297m 17s) completed: 90%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0486  acc: 0.5945  lr: 0.0000 
ep/it:1351- 316 niter:517750  2709m 50s (- 297m 1s) completed: 90%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0494  acc: 0.5955  lr: 0.0000 
ep/it:1351- 366 niter:517800  2710m 5s (- 296m 45s) completed: 90%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0501  acc: 0.5962  lr: 0.0000 
Validation loss:1.609, accuracy:0.561
ep/it:1352-  33 niter:517850  2710m 21s (- 296m 29s) completed: 90%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0479  acc: 0.5996  lr: 0.0000 
ep/it:1352-  83 niter:517900  2710m 36s (- 296m 14s) completed: 90%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0499  acc: 0.5965  lr: 0.0000 
ep/it:1352- 133 niter:517950  2710m 50s (- 295m 58s) completed: 90%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0488  acc: 0.6038  lr: 0.0000 
ep/it:1352- 183 niter:518000  2711m 4s (- 295m 42s) completed: 90%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0503  acc: 0.5909  lr: 0.0000 
ep/it:1352- 233 niter:518050  2711m 18s (- 295m 26s) completed: 90%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0472  acc: 0.5997  lr: 0.0000 
ep/it:1352- 283 niter:518100  2711m 32s (- 295m 10s) completed: 90%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0495  acc: 0.5979  lr: 0.0000 
ep/it:1352- 333 niter:518150  2711m 46s (- 294m 54s) completed: 90%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0484  acc: 0.5949  lr: 0.0000 
Validation loss:1.620, accuracy:0.558
ep/it:1353-   0 niter:518200  2712m 3s (- 294m 39s) completed: 90%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0496  acc: 0.5970  lr: 0.0000 
ep/it:1353-  50 niter:518250  2712m 17s (- 294m 23s) completed: 90%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0496  acc: 0.5979  lr: 0.0000 
ep/it:1353- 100 niter:518300  2712m 31s (- 294m 7s) completed: 90%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0492  acc: 0.5978  lr: 0.0000 
ep/it:1353- 150 niter:518350  2712m 45s (- 293m 51s) completed: 90%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0486  acc: 0.5941  lr: 0.0000 
ep/it:1353- 200 niter:518400  2712m 59s (- 293m 35s) completed: 90%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0478  acc: 0.5912  lr: 0.0000 
ep/it:1353- 250 niter:518450  2713m 13s (- 293m 19s) completed: 90%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0494  acc: 0.5964  lr: 0.0000 
ep/it:1353- 300 niter:518500  2713m 27s (- 293m 3s) completed: 90%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0487  acc: 0.6004  lr: 0.0000 
ep/it:1353- 350 niter:518550  2713m 42s (- 292m 48s) completed: 90%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0491  acc: 0.5967  lr: 0.0000 
Validation loss:1.588, accuracy:0.568
ep/it:1354-  17 niter:518600  2713m 58s (- 292m 32s) completed: 90%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0478  acc: 0.6011  lr: 0.0000 
ep/it:1354-  67 niter:518650  2714m 12s (- 292m 16s) completed: 90%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0480  acc: 0.6029  lr: 0.0000 
ep/it:1354- 117 niter:518700  2714m 27s (- 292m 0s) completed: 90%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0483  acc: 0.6037  lr: 0.0000 
ep/it:1354- 167 niter:518750  2714m 41s (- 291m 44s) completed: 90%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0462  acc: 0.6046  lr: 0.0000 
ep/it:1354- 217 niter:518800  2714m 55s (- 291m 29s) completed: 90%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0468  acc: 0.6011  lr: 0.0000 
ep/it:1354- 267 niter:518850  2715m 10s (- 291m 13s) completed: 90%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0470  acc: 0.5941  lr: 0.0000 
ep/it:1354- 317 niter:518900  2715m 25s (- 290m 57s) completed: 90%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0488  acc: 0.5989  lr: 0.0000 
ep/it:1354- 367 niter:518950  2715m 39s (- 290m 41s) completed: 90%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0474  acc: 0.6047  lr: 0.0000 
Validation loss:1.615, accuracy:0.559
ep/it:1355-  34 niter:519000  2715m 57s (- 290m 26s) completed: 90%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0485  acc: 0.5988  lr: 0.0000 
ep/it:1355-  84 niter:519050  2716m 12s (- 290m 10s) completed: 90%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0484  acc: 0.5981  lr: 0.0000 
ep/it:1355- 134 niter:519100  2716m 27s (- 289m 54s) completed: 90%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0474  acc: 0.5955  lr: 0.0000 
ep/it:1355- 184 niter:519150  2716m 42s (- 289m 38s) completed: 90%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0483  acc: 0.6033  lr: 0.0000 
ep/it:1355- 234 niter:519200  2716m 56s (- 289m 22s) completed: 90%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0469  acc: 0.5959  lr: 0.0000 
ep/it:1355- 284 niter:519250  2717m 10s (- 289m 7s) completed: 90%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0487  acc: 0.6045  lr: 0.0000 
ep/it:1355- 334 niter:519300  2717m 25s (- 288m 51s) completed: 90%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0486  acc: 0.6005  lr: 0.0000 
Validation loss:1.590, accuracy:0.564
ep/it:1356-   1 niter:519350  2717m 42s (- 288m 35s) completed: 90%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0461  acc: 0.5942  lr: 0.0000 
ep/it:1356-  51 niter:519400  2717m 56s (- 288m 19s) completed: 90%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0457  acc: 0.6045  lr: 0.0000 
ep/it:1356- 101 niter:519450  2718m 11s (- 288m 4s) completed: 90%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0459  acc: 0.5930  lr: 0.0000 
ep/it:1356- 151 niter:519500  2718m 26s (- 287m 48s) completed: 90%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0473  acc: 0.5977  lr: 0.0000 
ep/it:1356- 201 niter:519550  2718m 41s (- 287m 32s) completed: 90%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0462  acc: 0.6034  lr: 0.0000 
ep/it:1356- 251 niter:519600  2718m 55s (- 287m 16s) completed: 90%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0455  acc: 0.6008  lr: 0.0000 
ep/it:1356- 301 niter:519650  2719m 9s (- 287m 0s) completed: 90%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0462  acc: 0.6030  lr: 0.0000 
ep/it:1356- 351 niter:519700  2719m 23s (- 286m 44s) completed: 90%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0456  acc: 0.6028  lr: 0.0000 
Validation loss:1.563, accuracy:0.571
ep/it:1357-  18 niter:519750  2719m 40s (- 286m 29s) completed: 90%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0460  acc: 0.6001  lr: 0.0000 
ep/it:1357-  68 niter:519800  2719m 54s (- 286m 13s) completed: 90%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0448  acc: 0.6044  lr: 0.0000 
ep/it:1357- 118 niter:519850  2720m 9s (- 285m 57s) completed: 90%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0466  acc: 0.6086  lr: 0.0000 
ep/it:1357- 168 niter:519900  2720m 23s (- 285m 41s) completed: 90%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0452  acc: 0.6028  lr: 0.0000 
ep/it:1357- 218 niter:519950  2720m 37s (- 285m 25s) completed: 90%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0454  acc: 0.6043  lr: 0.0000 
ep/it:1357- 268 niter:520000  2720m 51s (- 285m 10s) completed: 90%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0463  acc: 0.5926  lr: 0.0000 
ep/it:1357- 318 niter:520050  2721m 6s (- 284m 54s) completed: 90%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0445  acc: 0.6026  lr: 0.0000 
ep/it:1357- 368 niter:520100  2721m 20s (- 284m 38s) completed: 90%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0454  acc: 0.5971  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:1358-  35 niter:520150  2721m 37s (- 284m 22s) completed: 90%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0455  acc: 0.5949  lr: 0.0000 
ep/it:1358-  85 niter:520200  2721m 51s (- 284m 6s) completed: 90%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0458  acc: 0.6021  lr: 0.0000 
ep/it:1358- 135 niter:520250  2722m 6s (- 283m 51s) completed: 90%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0471  acc: 0.6030  lr: 0.0000 
ep/it:1358- 185 niter:520300  2722m 21s (- 283m 35s) completed: 90%) loss_emb: 0.0000  loss: 1.3446  loss_TTT: 0.0457  acc: 0.6088  lr: 0.0000 
ep/it:1358- 235 niter:520350  2722m 35s (- 283m 19s) completed: 90%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0450  acc: 0.5961  lr: 0.0000 
ep/it:1358- 285 niter:520400  2722m 49s (- 283m 3s) completed: 90%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0450  acc: 0.5980  lr: 0.0000 
ep/it:1358- 335 niter:520450  2723m 4s (- 282m 47s) completed: 90%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0451  acc: 0.5975  lr: 0.0000 
Validation loss:1.577, accuracy:0.566
ep/it:1359-   2 niter:520500  2723m 21s (- 282m 32s) completed: 90%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0437  acc: 0.6057  lr: 0.0000 
ep/it:1359-  52 niter:520550  2723m 36s (- 282m 16s) completed: 90%) loss_emb: 0.0000  loss: 1.3511  loss_TTT: 0.0455  acc: 0.6067  lr: 0.0000 
ep/it:1359- 102 niter:520600  2723m 50s (- 282m 0s) completed: 90%) loss_emb: 0.0000  loss: 1.3456  loss_TTT: 0.0465  acc: 0.6076  lr: 0.0000 
ep/it:1359- 152 niter:520650  2724m 5s (- 281m 44s) completed: 90%) loss_emb: 0.0000  loss: 1.3542  loss_TTT: 0.0439  acc: 0.6049  lr: 0.0000 
ep/it:1359- 202 niter:520700  2724m 19s (- 281m 29s) completed: 90%) loss_emb: 0.0000  loss: 1.3541  loss_TTT: 0.0443  acc: 0.6058  lr: 0.0000 
ep/it:1359- 252 niter:520750  2724m 34s (- 281m 13s) completed: 90%) loss_emb: 0.0000  loss: 1.3541  loss_TTT: 0.0457  acc: 0.6068  lr: 0.0000 
ep/it:1359- 302 niter:520800  2724m 48s (- 280m 57s) completed: 90%) loss_emb: 0.0000  loss: 1.3574  loss_TTT: 0.0447  acc: 0.6051  lr: 0.0000 
ep/it:1359- 352 niter:520850  2725m 3s (- 280m 41s) completed: 90%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0446  acc: 0.6015  lr: 0.0000 
Validation loss:1.533, accuracy:0.578

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.66it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.49s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.52879708632827 avg: 38.52879708632827
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.869696063920856 avg: 38.69924657512456
--> 	 Eva. Repeat 0 :, FID. 0.0810, Diversity Real. 9.5523, Diversity. 9.7037, R_precision_real. [0.515625   0.69628906 0.79882812], R_precision. [0.51464844 0.69433594 0.79492188], matching_score_real. 2.8969, matching_score_pred. 2.8866, skate_ratio. 0.0502, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0361 (traj_fail_50cm (Traj err)): 0.0039 (kps_fail_20cm): 0.0069 (kps_fail_50cm (Loc. err)): 0.0007 (kps_mean_err(m) (Avg. err)): 0.0246 
ep/it:1360-  19 niter:520900  2726m 40s (- 280m 34s) completed: 90%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0439  acc: 0.6035  lr: 0.0000 
ep/it:1360-  69 niter:520950  2726m 54s (- 280m 18s) completed: 90%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0435  acc: 0.5989  lr: 0.0000 
ep/it:1360- 119 niter:521000  2727m 8s (- 280m 2s) completed: 90%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0449  acc: 0.6051  lr: 0.0000 
ep/it:1360- 169 niter:521050  2727m 23s (- 279m 46s) completed: 90%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0448  acc: 0.6022  lr: 0.0000 
ep/it:1360- 219 niter:521100  2727m 38s (- 279m 30s) completed: 90%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0447  acc: 0.6012  lr: 0.0000 
ep/it:1360- 269 niter:521150  2727m 52s (- 279m 15s) completed: 90%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0459  acc: 0.6016  lr: 0.0000 
ep/it:1360- 319 niter:521200  2728m 7s (- 278m 59s) completed: 90%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0456  acc: 0.6037  lr: 0.0000 
ep/it:1360- 369 niter:521250  2728m 22s (- 278m 43s) completed: 90%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0470  acc: 0.6052  lr: 0.0000 
Validation loss:1.596, accuracy:0.562
ep/it:1361-  36 niter:521300  2728m 38s (- 278m 27s) completed: 90%) loss_emb: 0.0000  loss: 1.3584  loss_TTT: 0.0455  acc: 0.6030  lr: 0.0000 
ep/it:1361-  86 niter:521350  2728m 53s (- 278m 12s) completed: 90%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0443  acc: 0.5961  lr: 0.0000 
ep/it:1361- 136 niter:521400  2729m 7s (- 277m 56s) completed: 90%) loss_emb: 0.0000  loss: 1.3516  loss_TTT: 0.0440  acc: 0.6070  lr: 0.0000 
ep/it:1361- 186 niter:521450  2729m 21s (- 277m 40s) completed: 90%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0433  acc: 0.6056  lr: 0.0000 
ep/it:1361- 236 niter:521500  2729m 36s (- 277m 24s) completed: 90%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0473  acc: 0.6001  lr: 0.0000 
ep/it:1361- 286 niter:521550  2729m 50s (- 277m 8s) completed: 90%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0450  acc: 0.6009  lr: 0.0000 
ep/it:1361- 336 niter:521600  2730m 4s (- 276m 52s) completed: 90%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0442  acc: 0.6047  lr: 0.0000 
Validation loss:1.589, accuracy:0.563
ep/it:1362-   3 niter:521650  2730m 21s (- 276m 37s) completed: 90%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0439  acc: 0.5986  lr: 0.0000 
ep/it:1362-  53 niter:521700  2730m 36s (- 276m 21s) completed: 90%) loss_emb: 0.0000  loss: 1.3450  loss_TTT: 0.0441  acc: 0.6075  lr: 0.0000 
ep/it:1362- 103 niter:521750  2730m 50s (- 276m 5s) completed: 90%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0460  acc: 0.6000  lr: 0.0000 
ep/it:1362- 153 niter:521800  2731m 4s (- 275m 49s) completed: 90%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0445  acc: 0.6022  lr: 0.0000 
ep/it:1362- 203 niter:521850  2731m 18s (- 275m 33s) completed: 90%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0453  acc: 0.6018  lr: 0.0000 
ep/it:1362- 253 niter:521900  2731m 32s (- 275m 18s) completed: 90%) loss_emb: 0.0000  loss: 1.3381  loss_TTT: 0.0428  acc: 0.6093  lr: 0.0000 
ep/it:1362- 303 niter:521950  2731m 46s (- 275m 2s) completed: 90%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0454  acc: 0.6010  lr: 0.0000 
ep/it:1362- 353 niter:522000  2732m 0s (- 274m 46s) completed: 90%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0456  acc: 0.5986  lr: 0.0000 
Validation loss:1.550, accuracy:0.574
ep/it:1363-  20 niter:522050  2732m 17s (- 274m 30s) completed: 90%) loss_emb: 0.0000  loss: 1.3573  loss_TTT: 0.0431  acc: 0.6045  lr: 0.0000 
ep/it:1363-  70 niter:522100  2732m 31s (- 274m 14s) completed: 90%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0439  acc: 0.6030  lr: 0.0000 
ep/it:1363- 120 niter:522150  2732m 46s (- 273m 59s) completed: 90%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0443  acc: 0.6001  lr: 0.0000 
ep/it:1363- 170 niter:522200  2733m 0s (- 273m 43s) completed: 90%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0461  acc: 0.6044  lr: 0.0000 
ep/it:1363- 220 niter:522250  2733m 14s (- 273m 27s) completed: 90%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0460  acc: 0.6046  lr: 0.0000 
ep/it:1363- 270 niter:522300  2733m 29s (- 273m 11s) completed: 90%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0437  acc: 0.6013  lr: 0.0000 
ep/it:1363- 320 niter:522350  2733m 43s (- 272m 55s) completed: 90%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0458  acc: 0.5958  lr: 0.0000 
ep/it:1363- 370 niter:522400  2733m 58s (- 272m 39s) completed: 90%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0437  acc: 0.6026  lr: 0.0000 
Validation loss:1.589, accuracy:0.563
ep/it:1364-  37 niter:522450  2734m 15s (- 272m 24s) completed: 90%) loss_emb: 0.0000  loss: 1.3443  loss_TTT: 0.0443  acc: 0.6089  lr: 0.0000 
ep/it:1364-  87 niter:522500  2734m 29s (- 272m 8s) completed: 90%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0441  acc: 0.6092  lr: 0.0000 
ep/it:1364- 137 niter:522550  2734m 43s (- 271m 52s) completed: 90%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0447  acc: 0.6066  lr: 0.0000 
ep/it:1364- 187 niter:522600  2734m 57s (- 271m 36s) completed: 90%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0440  acc: 0.6045  lr: 0.0000 
ep/it:1364- 237 niter:522650  2735m 11s (- 271m 20s) completed: 90%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0446  acc: 0.6037  lr: 0.0000 
ep/it:1364- 287 niter:522700  2735m 25s (- 271m 4s) completed: 90%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0454  acc: 0.6047  lr: 0.0000 
ep/it:1364- 337 niter:522750  2735m 39s (- 270m 49s) completed: 90%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0459  acc: 0.6056  lr: 0.0000 
Validation loss:1.581, accuracy:0.565
ep/it:1365-   4 niter:522800  2735m 56s (- 270m 33s) completed: 91%) loss_emb: 0.0000  loss: 1.3503  loss_TTT: 0.0447  acc: 0.6071  lr: 0.0000 
ep/it:1365-  54 niter:522850  2736m 11s (- 270m 17s) completed: 91%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0454  acc: 0.6049  lr: 0.0000 
ep/it:1365- 104 niter:522900  2736m 25s (- 270m 1s) completed: 91%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0434  acc: 0.6008  lr: 0.0000 
ep/it:1365- 154 niter:522950  2736m 39s (- 269m 46s) completed: 91%) loss_emb: 0.0000  loss: 1.3558  loss_TTT: 0.0433  acc: 0.6051  lr: 0.0000 
ep/it:1365- 204 niter:523000  2736m 53s (- 269m 30s) completed: 91%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0451  acc: 0.6030  lr: 0.0000 
ep/it:1365- 254 niter:523050  2737m 8s (- 269m 14s) completed: 91%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0463  acc: 0.5981  lr: 0.0000 
ep/it:1365- 304 niter:523100  2737m 22s (- 268m 58s) completed: 91%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0460  acc: 0.6035  lr: 0.0000 
ep/it:1365- 354 niter:523150  2737m 37s (- 268m 42s) completed: 91%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0442  acc: 0.6019  lr: 0.0000 
Validation loss:1.575, accuracy:0.567
ep/it:1366-  21 niter:523200  2737m 54s (- 268m 27s) completed: 91%) loss_emb: 0.0000  loss: 1.3365  loss_TTT: 0.0447  acc: 0.6109  lr: 0.0000 
ep/it:1366-  71 niter:523250  2738m 8s (- 268m 11s) completed: 91%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0452  acc: 0.6032  lr: 0.0000 
ep/it:1366- 121 niter:523300  2738m 22s (- 267m 55s) completed: 91%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0442  acc: 0.5965  lr: 0.0000 
ep/it:1366- 171 niter:523350  2738m 36s (- 267m 39s) completed: 91%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0435  acc: 0.6058  lr: 0.0000 
ep/it:1366- 221 niter:523400  2738m 50s (- 267m 23s) completed: 91%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0453  acc: 0.6025  lr: 0.0000 
ep/it:1366- 271 niter:523450  2739m 4s (- 267m 7s) completed: 91%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0445  acc: 0.5998  lr: 0.0000 
ep/it:1366- 321 niter:523500  2739m 18s (- 266m 52s) completed: 91%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0451  acc: 0.5972  lr: 0.0000 
ep/it:1366- 371 niter:523550  2739m 32s (- 266m 36s) completed: 91%) loss_emb: 0.0000  loss: 1.3427  loss_TTT: 0.0439  acc: 0.6084  lr: 0.0000 
Validation loss:1.604, accuracy:0.559
ep/it:1367-  38 niter:523600  2739m 49s (- 266m 20s) completed: 91%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0434  acc: 0.6009  lr: 0.0000 
ep/it:1367-  88 niter:523650  2740m 3s (- 266m 4s) completed: 91%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0445  acc: 0.6047  lr: 0.0000 
ep/it:1367- 138 niter:523700  2740m 17s (- 265m 48s) completed: 91%) loss_emb: 0.0000  loss: 1.3263  loss_TTT: 0.0441  acc: 0.6135  lr: 0.0000 
ep/it:1367- 188 niter:523750  2740m 31s (- 265m 33s) completed: 91%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0443  acc: 0.6076  lr: 0.0000 
ep/it:1367- 238 niter:523800  2740m 45s (- 265m 17s) completed: 91%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0450  acc: 0.5967  lr: 0.0000 
ep/it:1367- 288 niter:523850  2740m 59s (- 265m 1s) completed: 91%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0444  acc: 0.6053  lr: 0.0000 
ep/it:1367- 338 niter:523900  2741m 13s (- 264m 45s) completed: 91%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0447  acc: 0.6017  lr: 0.0000 
Validation loss:1.550, accuracy:0.573
ep/it:1368-   5 niter:523950  2741m 30s (- 264m 29s) completed: 91%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0439  acc: 0.6025  lr: 0.0000 
ep/it:1368-  55 niter:524000  2741m 44s (- 264m 13s) completed: 91%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0449  acc: 0.5980  lr: 0.0000 
ep/it:1368- 105 niter:524050  2741m 58s (- 263m 58s) completed: 91%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0438  acc: 0.5985  lr: 0.0000 
ep/it:1368- 155 niter:524100  2742m 12s (- 263m 42s) completed: 91%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0448  acc: 0.5980  lr: 0.0000 
ep/it:1368- 205 niter:524150  2742m 26s (- 263m 26s) completed: 91%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0440  acc: 0.6014  lr: 0.0000 
ep/it:1368- 255 niter:524200  2742m 40s (- 263m 10s) completed: 91%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0441  acc: 0.5991  lr: 0.0000 
ep/it:1368- 305 niter:524250  2742m 55s (- 262m 54s) completed: 91%) loss_emb: 0.0000  loss: 1.3438  loss_TTT: 0.0466  acc: 0.6098  lr: 0.0000 
ep/it:1368- 355 niter:524300  2743m 9s (- 262m 38s) completed: 91%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0445  acc: 0.5996  lr: 0.0000 
Validation loss:1.570, accuracy:0.569
ep/it:1369-  22 niter:524350  2743m 26s (- 262m 23s) completed: 91%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0452  acc: 0.6051  lr: 0.0000 
ep/it:1369-  72 niter:524400  2743m 40s (- 262m 7s) completed: 91%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0446  acc: 0.5989  lr: 0.0000 
ep/it:1369- 122 niter:524450  2743m 54s (- 261m 51s) completed: 91%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0445  acc: 0.6014  lr: 0.0000 
ep/it:1369- 172 niter:524500  2744m 8s (- 261m 35s) completed: 91%) loss_emb: 0.0000  loss: 1.3578  loss_TTT: 0.0440  acc: 0.6045  lr: 0.0000 
ep/it:1369- 222 niter:524550  2744m 23s (- 261m 19s) completed: 91%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0443  acc: 0.5958  lr: 0.0000 
ep/it:1369- 272 niter:524600  2744m 37s (- 261m 4s) completed: 91%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0451  acc: 0.6039  lr: 0.0000 
ep/it:1369- 322 niter:524650  2744m 51s (- 260m 48s) completed: 91%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0436  acc: 0.6032  lr: 0.0000 
ep/it:1369- 372 niter:524700  2745m 5s (- 260m 32s) completed: 91%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0445  acc: 0.6012  lr: 0.0000 
Validation loss:1.586, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.76it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.51s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.860991057008505 avg: 38.860991057008505
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.35290991794318 avg: 38.60695048747584
--> 	 Eva. Repeat 0 :, FID. 0.0928, Diversity Real. 9.4939, Diversity. 9.3692, R_precision_real. [0.53417969 0.72265625 0.80859375], R_precision. [0.51953125 0.71191406 0.8125    ], matching_score_real. 2.8629, matching_score_pred. 2.8272, skate_ratio. 0.0508, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0459 (traj_fail_50cm (Traj err)): 0.0098 (kps_fail_20cm): 0.0097 (kps_fail_50cm (Loc. err)): 0.0013 (kps_mean_err(m) (Avg. err)): 0.0266 
ep/it:1370-  39 niter:524750  2746m 40s (- 260m 24s) completed: 91%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0436  acc: 0.5973  lr: 0.0000 
ep/it:1370-  89 niter:524800  2746m 54s (- 260m 8s) completed: 91%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0446  acc: 0.6008  lr: 0.0000 
ep/it:1370- 139 niter:524850  2747m 8s (- 259m 52s) completed: 91%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0449  acc: 0.5971  lr: 0.0000 
ep/it:1370- 189 niter:524900  2747m 22s (- 259m 36s) completed: 91%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0452  acc: 0.6031  lr: 0.0000 
ep/it:1370- 239 niter:524950  2747m 36s (- 259m 20s) completed: 91%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0443  acc: 0.6087  lr: 0.0000 
ep/it:1370- 289 niter:525000  2747m 50s (- 259m 4s) completed: 91%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0434  acc: 0.6075  lr: 0.0000 
ep/it:1370- 339 niter:525050  2748m 5s (- 258m 49s) completed: 91%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0441  acc: 0.6014  lr: 0.0000 
Validation loss:1.555, accuracy:0.572
ep/it:1371-   6 niter:525100  2748m 21s (- 258m 33s) completed: 91%) loss_emb: 0.0000  loss: 1.3322  loss_TTT: 0.0452  acc: 0.6115  lr: 0.0000 
ep/it:1371-  56 niter:525150  2748m 36s (- 258m 17s) completed: 91%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0447  acc: 0.5996  lr: 0.0000 
ep/it:1371- 106 niter:525200  2748m 51s (- 258m 1s) completed: 91%) loss_emb: 0.0000  loss: 1.3528  loss_TTT: 0.0427  acc: 0.6054  lr: 0.0000 
ep/it:1371- 156 niter:525250  2749m 5s (- 257m 46s) completed: 91%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0457  acc: 0.5976  lr: 0.0000 
ep/it:1371- 206 niter:525300  2749m 19s (- 257m 30s) completed: 91%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0445  acc: 0.5955  lr: 0.0000 
ep/it:1371- 256 niter:525350  2749m 33s (- 257m 14s) completed: 91%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0429  acc: 0.6008  lr: 0.0000 
ep/it:1371- 306 niter:525400  2749m 47s (- 256m 58s) completed: 91%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0434  acc: 0.5949  lr: 0.0000 
ep/it:1371- 356 niter:525450  2750m 1s (- 256m 42s) completed: 91%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0446  acc: 0.6001  lr: 0.0000 
Validation loss:1.529, accuracy:0.580
ep/it:1372-  23 niter:525500  2750m 18s (- 256m 27s) completed: 91%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0436  acc: 0.5968  lr: 0.0000 
ep/it:1372-  73 niter:525550  2750m 33s (- 256m 11s) completed: 91%) loss_emb: 0.0000  loss: 1.3516  loss_TTT: 0.0447  acc: 0.6067  lr: 0.0000 
ep/it:1372- 123 niter:525600  2750m 47s (- 255m 55s) completed: 91%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0442  acc: 0.6051  lr: 0.0000 
ep/it:1372- 173 niter:525650  2751m 1s (- 255m 39s) completed: 91%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0444  acc: 0.6028  lr: 0.0000 
ep/it:1372- 223 niter:525700  2751m 16s (- 255m 23s) completed: 91%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0448  acc: 0.5975  lr: 0.0000 
ep/it:1372- 273 niter:525750  2751m 29s (- 255m 7s) completed: 91%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0443  acc: 0.5979  lr: 0.0000 
ep/it:1372- 323 niter:525800  2751m 44s (- 254m 52s) completed: 91%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0439  acc: 0.5961  lr: 0.0000 
ep/it:1372- 373 niter:525850  2751m 58s (- 254m 36s) completed: 91%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0459  acc: 0.6024  lr: 0.0000 
Validation loss:1.542, accuracy:0.574
ep/it:1373-  40 niter:525900  2752m 15s (- 254m 20s) completed: 91%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0435  acc: 0.5999  lr: 0.0000 
ep/it:1373-  90 niter:525950  2752m 30s (- 254m 4s) completed: 91%) loss_emb: 0.0000  loss: 1.3523  loss_TTT: 0.0441  acc: 0.6061  lr: 0.0000 
ep/it:1373- 140 niter:526000  2752m 44s (- 253m 49s) completed: 91%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0447  acc: 0.6043  lr: 0.0000 
ep/it:1373- 190 niter:526050  2752m 59s (- 253m 33s) completed: 91%) loss_emb: 0.0000  loss: 1.3499  loss_TTT: 0.0433  acc: 0.6067  lr: 0.0000 
ep/it:1373- 240 niter:526100  2753m 14s (- 253m 17s) completed: 91%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0454  acc: 0.6033  lr: 0.0000 
ep/it:1373- 290 niter:526150  2753m 28s (- 253m 1s) completed: 91%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0436  acc: 0.5992  lr: 0.0000 
ep/it:1373- 340 niter:526200  2753m 43s (- 252m 45s) completed: 91%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0432  acc: 0.6049  lr: 0.0000 
Validation loss:1.604, accuracy:0.560
ep/it:1374-   7 niter:526250  2754m 1s (- 252m 30s) completed: 91%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0456  acc: 0.5997  lr: 0.0000 
ep/it:1374-  57 niter:526300  2754m 15s (- 252m 14s) completed: 91%) loss_emb: 0.0000  loss: 1.3584  loss_TTT: 0.0448  acc: 0.6052  lr: 0.0000 
ep/it:1374- 107 niter:526350  2754m 29s (- 251m 58s) completed: 91%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0432  acc: 0.6026  lr: 0.0000 
ep/it:1374- 157 niter:526400  2754m 43s (- 251m 42s) completed: 91%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0457  acc: 0.6002  lr: 0.0000 
ep/it:1374- 207 niter:526450  2754m 57s (- 251m 27s) completed: 91%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0450  acc: 0.5985  lr: 0.0000 
ep/it:1374- 257 niter:526500  2755m 11s (- 251m 11s) completed: 91%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0441  acc: 0.6039  lr: 0.0000 
ep/it:1374- 307 niter:526550  2755m 27s (- 250m 55s) completed: 91%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0444  acc: 0.6038  lr: 0.0000 
ep/it:1374- 357 niter:526600  2755m 42s (- 250m 39s) completed: 91%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0440  acc: 0.6018  lr: 0.0000 
Validation loss:1.545, accuracy:0.575
ep/it:1375-  24 niter:526650  2755m 59s (- 250m 24s) completed: 91%) loss_emb: 0.0000  loss: 1.3514  loss_TTT: 0.0439  acc: 0.6060  lr: 0.0000 
ep/it:1375-  74 niter:526700  2756m 14s (- 250m 8s) completed: 91%) loss_emb: 0.0000  loss: 1.3452  loss_TTT: 0.0450  acc: 0.6073  lr: 0.0000 
ep/it:1375- 124 niter:526750  2756m 28s (- 249m 52s) completed: 91%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0459  acc: 0.6008  lr: 0.0000 
ep/it:1375- 174 niter:526800  2756m 42s (- 249m 36s) completed: 91%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0432  acc: 0.6043  lr: 0.0000 
ep/it:1375- 224 niter:526850  2756m 57s (- 249m 20s) completed: 91%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0440  acc: 0.6033  lr: 0.0000 
ep/it:1375- 274 niter:526900  2757m 12s (- 249m 5s) completed: 91%) loss_emb: 0.0000  loss: 1.3395  loss_TTT: 0.0457  acc: 0.6093  lr: 0.0000 
ep/it:1375- 324 niter:526950  2757m 27s (- 248m 49s) completed: 91%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0429  acc: 0.5995  lr: 0.0000 
ep/it:1375- 374 niter:527000  2757m 42s (- 248m 33s) completed: 91%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0433  acc: 0.6018  lr: 0.0000 
Validation loss:1.605, accuracy:0.561
ep/it:1376-  41 niter:527050  2757m 59s (- 248m 18s) completed: 91%) loss_emb: 0.0000  loss: 1.3506  loss_TTT: 0.0447  acc: 0.6061  lr: 0.0000 
ep/it:1376-  91 niter:527100  2758m 14s (- 248m 2s) completed: 91%) loss_emb: 0.0000  loss: 1.3334  loss_TTT: 0.0421  acc: 0.6099  lr: 0.0000 
ep/it:1376- 141 niter:527150  2758m 28s (- 247m 46s) completed: 91%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0430  acc: 0.5998  lr: 0.0000 
ep/it:1376- 191 niter:527200  2758m 42s (- 247m 30s) completed: 91%) loss_emb: 0.0000  loss: 1.3391  loss_TTT: 0.0428  acc: 0.6098  lr: 0.0000 
ep/it:1376- 241 niter:527250  2758m 56s (- 247m 14s) completed: 91%) loss_emb: 0.0000  loss: 1.3201  loss_TTT: 0.0449  acc: 0.6157  lr: 0.0000 
ep/it:1376- 291 niter:527300  2759m 10s (- 246m 58s) completed: 91%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0442  acc: 0.6026  lr: 0.0000 
ep/it:1376- 341 niter:527350  2759m 25s (- 246m 43s) completed: 91%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0454  acc: 0.6052  lr: 0.0000 
Validation loss:1.522, accuracy:0.580
ep/it:1377-   8 niter:527400  2759m 42s (- 246m 27s) completed: 91%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0420  acc: 0.6111  lr: 0.0000 
ep/it:1377-  58 niter:527450  2759m 56s (- 246m 11s) completed: 91%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0439  acc: 0.5989  lr: 0.0000 
ep/it:1377- 108 niter:527500  2760m 11s (- 245m 55s) completed: 91%) loss_emb: 0.0000  loss: 1.3315  loss_TTT: 0.0434  acc: 0.6115  lr: 0.0000 
ep/it:1377- 158 niter:527550  2760m 26s (- 245m 40s) completed: 91%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0459  acc: 0.6003  lr: 0.0000 
ep/it:1377- 208 niter:527600  2760m 40s (- 245m 24s) completed: 91%) loss_emb: 0.0000  loss: 1.3500  loss_TTT: 0.0460  acc: 0.6069  lr: 0.0000 
ep/it:1377- 258 niter:527650  2760m 55s (- 245m 8s) completed: 91%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0430  acc: 0.5972  lr: 0.0000 
ep/it:1377- 308 niter:527700  2761m 10s (- 244m 52s) completed: 91%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0450  acc: 0.6004  lr: 0.0000 
ep/it:1377- 358 niter:527750  2761m 25s (- 244m 36s) completed: 91%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0437  acc: 0.6061  lr: 0.0000 
Validation loss:1.609, accuracy:0.558
ep/it:1378-  25 niter:527800  2761m 42s (- 244m 21s) completed: 91%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0442  acc: 0.6027  lr: 0.0000 
ep/it:1378-  75 niter:527850  2761m 56s (- 244m 5s) completed: 91%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0440  acc: 0.6002  lr: 0.0000 
ep/it:1378- 125 niter:527900  2762m 10s (- 243m 49s) completed: 91%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0433  acc: 0.6071  lr: 0.0000 
ep/it:1378- 175 niter:527950  2762m 24s (- 243m 33s) completed: 91%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0440  acc: 0.6058  lr: 0.0000 
ep/it:1378- 225 niter:528000  2762m 38s (- 243m 18s) completed: 91%) loss_emb: 0.0000  loss: 1.3292  loss_TTT: 0.0437  acc: 0.6115  lr: 0.0000 
ep/it:1378- 275 niter:528050  2762m 52s (- 243m 2s) completed: 91%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0456  acc: 0.6029  lr: 0.0000 
ep/it:1378- 325 niter:528100  2763m 6s (- 242m 46s) completed: 91%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0440  acc: 0.6056  lr: 0.0000 
ep/it:1378- 375 niter:528150  2763m 21s (- 242m 30s) completed: 91%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0444  acc: 0.6022  lr: 0.0000 
Validation loss:1.556, accuracy:0.572
ep/it:1379-  42 niter:528200  2763m 38s (- 242m 15s) completed: 91%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0433  acc: 0.5998  lr: 0.0000 
ep/it:1379-  92 niter:528250  2763m 52s (- 241m 59s) completed: 91%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0451  acc: 0.6017  lr: 0.0000 
ep/it:1379- 142 niter:528300  2764m 7s (- 241m 43s) completed: 91%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0444  acc: 0.6030  lr: 0.0000 
ep/it:1379- 192 niter:528350  2764m 22s (- 241m 27s) completed: 91%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0445  acc: 0.5936  lr: 0.0000 
ep/it:1379- 242 niter:528400  2764m 37s (- 241m 11s) completed: 91%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0445  acc: 0.5972  lr: 0.0000 
ep/it:1379- 292 niter:528450  2764m 51s (- 240m 56s) completed: 91%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0436  acc: 0.5986  lr: 0.0000 
ep/it:1379- 342 niter:528500  2765m 6s (- 240m 40s) completed: 91%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0449  acc: 0.5989  lr: 0.0000 
Validation loss:1.598, accuracy:0.561

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.56it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.806101482361555 avg: 38.806101482361555
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.46890336368233 avg: 38.63750242302194
--> 	 Eva. Repeat 0 :, FID. 0.1071, Diversity Real. 9.6342, Diversity. 9.7622, R_precision_real. [0.51464844 0.71582031 0.79882812], R_precision. [0.51855469 0.72460938 0.81738281], matching_score_real. 2.8962, matching_score_pred. 2.9142, skate_ratio. 0.0525, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0547 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0108 (kps_fail_50cm (Loc. err)): 0.0016 (kps_mean_err(m) (Avg. err)): 0.0269 
ep/it:1380-   9 niter:528550  2766m 42s (- 240m 31s) completed: 92%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0436  acc: 0.6041  lr: 0.0000 
ep/it:1380-  59 niter:528600  2766m 56s (- 240m 15s) completed: 92%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0436  acc: 0.6062  lr: 0.0000 
ep/it:1380- 109 niter:528650  2767m 10s (- 239m 59s) completed: 92%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0455  acc: 0.6034  lr: 0.0000 
ep/it:1380- 159 niter:528700  2767m 24s (- 239m 44s) completed: 92%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0437  acc: 0.6010  lr: 0.0000 
ep/it:1380- 209 niter:528750  2767m 39s (- 239m 28s) completed: 92%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0467  acc: 0.6021  lr: 0.0000 
ep/it:1380- 259 niter:528800  2767m 53s (- 239m 12s) completed: 92%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0457  acc: 0.6012  lr: 0.0000 
ep/it:1380- 309 niter:528850  2768m 7s (- 238m 56s) completed: 92%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0446  acc: 0.5974  lr: 0.0000 
ep/it:1380- 359 niter:528900  2768m 22s (- 238m 40s) completed: 92%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0451  acc: 0.6020  lr: 0.0000 
Validation loss:1.561, accuracy:0.570
ep/it:1381-  26 niter:528950  2768m 39s (- 238m 25s) completed: 92%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0438  acc: 0.6005  lr: 0.0000 
ep/it:1381-  76 niter:529000  2768m 54s (- 238m 9s) completed: 92%) loss_emb: 0.0000  loss: 1.3446  loss_TTT: 0.0447  acc: 0.6086  lr: 0.0000 
ep/it:1381- 126 niter:529050  2769m 8s (- 237m 53s) completed: 92%) loss_emb: 0.0000  loss: 1.3548  loss_TTT: 0.0452  acc: 0.6041  lr: 0.0000 
ep/it:1381- 176 niter:529100  2769m 23s (- 237m 37s) completed: 92%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0434  acc: 0.6040  lr: 0.0000 
ep/it:1381- 226 niter:529150  2769m 37s (- 237m 22s) completed: 92%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0453  acc: 0.5927  lr: 0.0000 
ep/it:1381- 276 niter:529200  2769m 52s (- 237m 6s) completed: 92%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0440  acc: 0.5978  lr: 0.0000 
ep/it:1381- 326 niter:529250  2770m 6s (- 236m 50s) completed: 92%) loss_emb: 0.0000  loss: 1.3595  loss_TTT: 0.0438  acc: 0.6042  lr: 0.0000 
ep/it:1381- 376 niter:529300  2770m 20s (- 236m 34s) completed: 92%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0442  acc: 0.5983  lr: 0.0000 
Validation loss:1.546, accuracy:0.574
ep/it:1382-  43 niter:529350  2770m 37s (- 236m 18s) completed: 92%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0433  acc: 0.6015  lr: 0.0000 
ep/it:1382-  93 niter:529400  2770m 51s (- 236m 3s) completed: 92%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0446  acc: 0.6009  lr: 0.0000 
ep/it:1382- 143 niter:529450  2771m 5s (- 235m 47s) completed: 92%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0439  acc: 0.5952  lr: 0.0000 
ep/it:1382- 193 niter:529500  2771m 19s (- 235m 31s) completed: 92%) loss_emb: 0.0000  loss: 1.3449  loss_TTT: 0.0436  acc: 0.6077  lr: 0.0000 
ep/it:1382- 243 niter:529550  2771m 34s (- 235m 15s) completed: 92%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0449  acc: 0.5994  lr: 0.0000 
ep/it:1382- 293 niter:529600  2771m 48s (- 234m 59s) completed: 92%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0457  acc: 0.6039  lr: 0.0000 
ep/it:1382- 343 niter:529650  2772m 2s (- 234m 43s) completed: 92%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0435  acc: 0.6054  lr: 0.0000 
Validation loss:1.581, accuracy:0.565
ep/it:1383-  10 niter:529700  2772m 19s (- 234m 28s) completed: 92%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0447  acc: 0.5975  lr: 0.0000 
ep/it:1383-  60 niter:529750  2772m 33s (- 234m 12s) completed: 92%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0439  acc: 0.5934  lr: 0.0000 
ep/it:1383- 110 niter:529800  2772m 48s (- 233m 56s) completed: 92%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0442  acc: 0.6044  lr: 0.0000 
ep/it:1383- 160 niter:529850  2773m 2s (- 233m 40s) completed: 92%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0434  acc: 0.6060  lr: 0.0000 
ep/it:1383- 210 niter:529900  2773m 16s (- 233m 25s) completed: 92%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0436  acc: 0.6015  lr: 0.0000 
ep/it:1383- 260 niter:529950  2773m 30s (- 233m 9s) completed: 92%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0452  acc: 0.6091  lr: 0.0000 
ep/it:1383- 310 niter:530000  2773m 44s (- 232m 53s) completed: 92%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0448  acc: 0.5973  lr: 0.0000 
ep/it:1383- 360 niter:530050  2773m 58s (- 232m 37s) completed: 92%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0438  acc: 0.6030  lr: 0.0000 
Validation loss:1.566, accuracy:0.570
ep/it:1384-  27 niter:530100  2774m 15s (- 232m 21s) completed: 92%) loss_emb: 0.0000  loss: 1.3474  loss_TTT: 0.0450  acc: 0.6063  lr: 0.0000 
ep/it:1384-  77 niter:530150  2774m 29s (- 232m 6s) completed: 92%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0432  acc: 0.6061  lr: 0.0000 
ep/it:1384- 127 niter:530200  2774m 43s (- 231m 50s) completed: 92%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0437  acc: 0.6069  lr: 0.0000 
ep/it:1384- 177 niter:530250  2774m 57s (- 231m 34s) completed: 92%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0435  acc: 0.6006  lr: 0.0000 
ep/it:1384- 227 niter:530300  2775m 11s (- 231m 18s) completed: 92%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0450  acc: 0.6057  lr: 0.0000 
ep/it:1384- 277 niter:530350  2775m 25s (- 231m 2s) completed: 92%) loss_emb: 0.0000  loss: 1.3431  loss_TTT: 0.0457  acc: 0.6083  lr: 0.0000 
ep/it:1384- 327 niter:530400  2775m 39s (- 230m 46s) completed: 92%) loss_emb: 0.0000  loss: 1.3362  loss_TTT: 0.0433  acc: 0.6107  lr: 0.0000 
ep/it:1384- 377 niter:530450  2775m 53s (- 230m 31s) completed: 92%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0440  acc: 0.5955  lr: 0.0000 
Validation loss:1.627, accuracy:0.553
ep/it:1385-  44 niter:530500  2776m 10s (- 230m 15s) completed: 92%) loss_emb: 0.0000  loss: 1.3523  loss_TTT: 0.0435  acc: 0.6067  lr: 0.0000 
ep/it:1385-  94 niter:530550  2776m 25s (- 229m 59s) completed: 92%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0459  acc: 0.5973  lr: 0.0000 
ep/it:1385- 144 niter:530600  2776m 39s (- 229m 43s) completed: 92%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0444  acc: 0.6005  lr: 0.0000 
ep/it:1385- 194 niter:530650  2776m 53s (- 229m 28s) completed: 92%) loss_emb: 0.0000  loss: 1.3422  loss_TTT: 0.0447  acc: 0.6099  lr: 0.0000 
ep/it:1385- 244 niter:530700  2777m 8s (- 229m 12s) completed: 92%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0424  acc: 0.5999  lr: 0.0000 
ep/it:1385- 294 niter:530750  2777m 22s (- 228m 56s) completed: 92%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0445  acc: 0.5964  lr: 0.0000 
ep/it:1385- 344 niter:530800  2777m 36s (- 228m 40s) completed: 92%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0464  acc: 0.6025  lr: 0.0000 
Validation loss:1.590, accuracy:0.564
ep/it:1386-  11 niter:530850  2777m 53s (- 228m 25s) completed: 92%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0424  acc: 0.5974  lr: 0.0000 
ep/it:1386-  61 niter:530900  2778m 7s (- 228m 9s) completed: 92%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0445  acc: 0.5956  lr: 0.0000 
ep/it:1386- 111 niter:530950  2778m 21s (- 227m 53s) completed: 92%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0433  acc: 0.6033  lr: 0.0000 
ep/it:1386- 161 niter:531000  2778m 35s (- 227m 37s) completed: 92%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0436  acc: 0.6043  lr: 0.0000 
ep/it:1386- 211 niter:531050  2778m 50s (- 227m 21s) completed: 92%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0456  acc: 0.6033  lr: 0.0000 
ep/it:1386- 261 niter:531100  2779m 4s (- 227m 5s) completed: 92%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0442  acc: 0.6031  lr: 0.0000 
ep/it:1386- 311 niter:531150  2779m 18s (- 226m 50s) completed: 92%) loss_emb: 0.0000  loss: 1.3690  loss_TTT: 0.0425  acc: 0.6001  lr: 0.0000 
ep/it:1386- 361 niter:531200  2779m 32s (- 226m 34s) completed: 92%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0454  acc: 0.6050  lr: 0.0000 
Validation loss:1.556, accuracy:0.572
ep/it:1387-  28 niter:531250  2779m 48s (- 226m 18s) completed: 92%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0429  acc: 0.6027  lr: 0.0000 
ep/it:1387-  78 niter:531300  2780m 2s (- 226m 2s) completed: 92%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0444  acc: 0.6016  lr: 0.0000 
ep/it:1387- 128 niter:531350  2780m 16s (- 225m 46s) completed: 92%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0440  acc: 0.5979  lr: 0.0000 
ep/it:1387- 178 niter:531400  2780m 30s (- 225m 31s) completed: 92%) loss_emb: 0.0000  loss: 1.3313  loss_TTT: 0.0431  acc: 0.6108  lr: 0.0000 
ep/it:1387- 228 niter:531450  2780m 45s (- 225m 15s) completed: 92%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0435  acc: 0.6009  lr: 0.0000 
ep/it:1387- 278 niter:531500  2780m 59s (- 224m 59s) completed: 92%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0453  acc: 0.6003  lr: 0.0000 
ep/it:1387- 328 niter:531550  2781m 14s (- 224m 43s) completed: 92%) loss_emb: 0.0000  loss: 1.3422  loss_TTT: 0.0438  acc: 0.6094  lr: 0.0000 
ep/it:1387- 378 niter:531600  2781m 28s (- 224m 27s) completed: 92%) loss_emb: 0.0000  loss: 1.3308  loss_TTT: 0.0438  acc: 0.6123  lr: 0.0000 
Validation loss:1.582, accuracy:0.565
ep/it:1388-  45 niter:531650  2781m 46s (- 224m 12s) completed: 92%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0431  acc: 0.6071  lr: 0.0000 
ep/it:1388-  95 niter:531700  2782m 0s (- 223m 56s) completed: 92%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0436  acc: 0.5998  lr: 0.0000 
ep/it:1388- 145 niter:531750  2782m 14s (- 223m 40s) completed: 92%) loss_emb: 0.0000  loss: 1.3446  loss_TTT: 0.0441  acc: 0.6071  lr: 0.0000 
ep/it:1388- 195 niter:531800  2782m 29s (- 223m 24s) completed: 92%) loss_emb: 0.0000  loss: 1.3454  loss_TTT: 0.0433  acc: 0.6084  lr: 0.0000 
ep/it:1388- 245 niter:531850  2782m 43s (- 223m 9s) completed: 92%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0433  acc: 0.6032  lr: 0.0000 
ep/it:1388- 295 niter:531900  2782m 58s (- 222m 53s) completed: 92%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0440  acc: 0.6030  lr: 0.0000 
ep/it:1388- 345 niter:531950  2783m 12s (- 222m 37s) completed: 92%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0452  acc: 0.6048  lr: 0.0000 
Validation loss:1.585, accuracy:0.564
ep/it:1389-  12 niter:532000  2783m 30s (- 222m 21s) completed: 92%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0442  acc: 0.5950  lr: 0.0000 
ep/it:1389-  62 niter:532050  2783m 44s (- 222m 6s) completed: 92%) loss_emb: 0.0000  loss: 1.3429  loss_TTT: 0.0433  acc: 0.6085  lr: 0.0000 
ep/it:1389- 112 niter:532100  2783m 58s (- 221m 50s) completed: 92%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0437  acc: 0.5988  lr: 0.0000 
ep/it:1389- 162 niter:532150  2784m 12s (- 221m 34s) completed: 92%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0435  acc: 0.6090  lr: 0.0000 
ep/it:1389- 212 niter:532200  2784m 26s (- 221m 18s) completed: 92%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0441  acc: 0.6018  lr: 0.0000 
ep/it:1389- 262 niter:532250  2784m 41s (- 221m 2s) completed: 92%) loss_emb: 0.0000  loss: 1.3450  loss_TTT: 0.0435  acc: 0.6080  lr: 0.0000 
ep/it:1389- 312 niter:532300  2784m 55s (- 220m 47s) completed: 92%) loss_emb: 0.0000  loss: 1.3519  loss_TTT: 0.0454  acc: 0.6064  lr: 0.0000 
ep/it:1389- 362 niter:532350  2785m 9s (- 220m 31s) completed: 92%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0442  acc: 0.6063  lr: 0.0000 
Validation loss:1.571, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.55it/s]
 34%|███▍      | 16/47 [00:38<01:16,  2.47s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.330007867887616 avg: 38.330007867887616
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.14839407429099 avg: 38.7392009710893
--> 	 Eva. Repeat 0 :, FID. 0.0892, Diversity Real. 9.5011, Diversity. 9.2745, R_precision_real. [0.53417969 0.72851562 0.80761719], R_precision. [0.53125    0.70703125 0.79882812], matching_score_real. 2.8415, matching_score_pred. 2.9249, skate_ratio. 0.0466, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0430 (traj_fail_50cm (Traj err)): 0.0020 (kps_fail_20cm): 0.0075 (kps_fail_50cm (Loc. err)): 0.0002 (kps_mean_err(m) (Avg. err)): 0.0259 
ep/it:1390-  29 niter:532400  2786m 46s (- 220m 21s) completed: 92%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0456  acc: 0.6008  lr: 0.0000 
ep/it:1390-  79 niter:532450  2787m 0s (- 220m 6s) completed: 92%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0445  acc: 0.6050  lr: 0.0000 
ep/it:1390- 129 niter:532500  2787m 14s (- 219m 50s) completed: 92%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0435  acc: 0.6024  lr: 0.0000 
ep/it:1390- 179 niter:532550  2787m 28s (- 219m 34s) completed: 92%) loss_emb: 0.0000  loss: 1.3284  loss_TTT: 0.0423  acc: 0.6119  lr: 0.0000 
ep/it:1390- 229 niter:532600  2787m 43s (- 219m 18s) completed: 92%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0438  acc: 0.6025  lr: 0.0000 
ep/it:1390- 279 niter:532650  2787m 56s (- 219m 2s) completed: 92%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0427  acc: 0.6061  lr: 0.0000 
ep/it:1390- 329 niter:532700  2788m 11s (- 218m 47s) completed: 92%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0450  acc: 0.5993  lr: 0.0000 
ep/it:1390- 379 niter:532750  2788m 25s (- 218m 31s) completed: 92%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0448  acc: 0.5995  lr: 0.0000 
Validation loss:1.549, accuracy:0.574
ep/it:1391-  46 niter:532800  2788m 41s (- 218m 15s) completed: 92%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0449  acc: 0.6033  lr: 0.0000 
ep/it:1391-  96 niter:532850  2788m 55s (- 217m 59s) completed: 92%) loss_emb: 0.0000  loss: 1.3389  loss_TTT: 0.0447  acc: 0.6091  lr: 0.0000 
ep/it:1391- 146 niter:532900  2789m 9s (- 217m 43s) completed: 92%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0427  acc: 0.6017  lr: 0.0000 
ep/it:1391- 196 niter:532950  2789m 23s (- 217m 28s) completed: 92%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0436  acc: 0.6048  lr: 0.0000 
ep/it:1391- 246 niter:533000  2789m 37s (- 217m 12s) completed: 92%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0446  acc: 0.5926  lr: 0.0000 
ep/it:1391- 296 niter:533050  2789m 52s (- 216m 56s) completed: 92%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0446  acc: 0.6037  lr: 0.0000 
ep/it:1391- 346 niter:533100  2790m 6s (- 216m 40s) completed: 92%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0432  acc: 0.6001  lr: 0.0000 
Validation loss:1.566, accuracy:0.570
ep/it:1392-  13 niter:533150  2790m 22s (- 216m 24s) completed: 92%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0441  acc: 0.6083  lr: 0.0000 
ep/it:1392-  63 niter:533200  2790m 37s (- 216m 9s) completed: 92%) loss_emb: 0.0000  loss: 1.3408  loss_TTT: 0.0438  acc: 0.6091  lr: 0.0000 
ep/it:1392- 113 niter:533250  2790m 51s (- 215m 53s) completed: 92%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0453  acc: 0.6003  lr: 0.0000 
ep/it:1392- 163 niter:533300  2791m 5s (- 215m 37s) completed: 92%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0453  acc: 0.6001  lr: 0.0000 
ep/it:1392- 213 niter:533350  2791m 19s (- 215m 21s) completed: 92%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0445  acc: 0.5994  lr: 0.0000 
ep/it:1392- 263 niter:533400  2791m 33s (- 215m 5s) completed: 92%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0441  acc: 0.6054  lr: 0.0000 
ep/it:1392- 313 niter:533450  2791m 47s (- 214m 50s) completed: 92%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0425  acc: 0.6015  lr: 0.0000 
ep/it:1392- 363 niter:533500  2792m 1s (- 214m 34s) completed: 92%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0430  acc: 0.6013  lr: 0.0000 
Validation loss:1.569, accuracy:0.570
ep/it:1393-  30 niter:533550  2792m 18s (- 214m 18s) completed: 92%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0441  acc: 0.6004  lr: 0.0000 
ep/it:1393-  80 niter:533600  2792m 32s (- 214m 2s) completed: 92%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0450  acc: 0.5962  lr: 0.0000 
ep/it:1393- 130 niter:533650  2792m 46s (- 213m 46s) completed: 92%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0428  acc: 0.6050  lr: 0.0000 
ep/it:1393- 180 niter:533700  2793m 0s (- 213m 31s) completed: 92%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0438  acc: 0.6022  lr: 0.0000 
ep/it:1393- 230 niter:533750  2793m 14s (- 213m 15s) completed: 92%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0441  acc: 0.6049  lr: 0.0000 
ep/it:1393- 280 niter:533800  2793m 28s (- 212m 59s) completed: 92%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0429  acc: 0.5945  lr: 0.0000 
ep/it:1393- 330 niter:533850  2793m 42s (- 212m 43s) completed: 92%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0443  acc: 0.6026  lr: 0.0000 
ep/it:1393- 380 niter:533900  2793m 56s (- 212m 27s) completed: 92%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0458  acc: 0.5989  lr: 0.0000 
Validation loss:1.556, accuracy:0.570
ep/it:1394-  47 niter:533950  2794m 14s (- 212m 12s) completed: 92%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0444  acc: 0.6041  lr: 0.0000 
ep/it:1394-  97 niter:534000  2794m 28s (- 211m 56s) completed: 92%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0454  acc: 0.6062  lr: 0.0000 
ep/it:1394- 147 niter:534050  2794m 43s (- 211m 40s) completed: 92%) loss_emb: 0.0000  loss: 1.3410  loss_TTT: 0.0438  acc: 0.6089  lr: 0.0000 
ep/it:1394- 197 niter:534100  2794m 57s (- 211m 24s) completed: 92%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0422  acc: 0.6077  lr: 0.0000 
ep/it:1394- 247 niter:534150  2795m 12s (- 211m 9s) completed: 92%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0431  acc: 0.5976  lr: 0.0000 
ep/it:1394- 297 niter:534200  2795m 27s (- 210m 53s) completed: 92%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0437  acc: 0.5947  lr: 0.0000 
ep/it:1394- 347 niter:534250  2795m 41s (- 210m 37s) completed: 92%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0437  acc: 0.6031  lr: 0.0000 
Validation loss:1.570, accuracy:0.568
ep/it:1395-  14 niter:534300  2795m 59s (- 210m 21s) completed: 93%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0438  acc: 0.5981  lr: 0.0000 
ep/it:1395-  64 niter:534350  2796m 13s (- 210m 6s) completed: 93%) loss_emb: 0.0000  loss: 1.3514  loss_TTT: 0.0443  acc: 0.6058  lr: 0.0000 
ep/it:1395- 114 niter:534400  2796m 28s (- 209m 50s) completed: 93%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0441  acc: 0.5971  lr: 0.0000 
ep/it:1395- 164 niter:534450  2796m 42s (- 209m 34s) completed: 93%) loss_emb: 0.0000  loss: 1.3351  loss_TTT: 0.0448  acc: 0.6099  lr: 0.0000 
ep/it:1395- 214 niter:534500  2796m 56s (- 209m 18s) completed: 93%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0432  acc: 0.5981  lr: 0.0000 
ep/it:1395- 264 niter:534550  2797m 10s (- 209m 2s) completed: 93%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0434  acc: 0.6017  lr: 0.0000 
ep/it:1395- 314 niter:534600  2797m 24s (- 208m 47s) completed: 93%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0439  acc: 0.5985  lr: 0.0000 
ep/it:1395- 364 niter:534650  2797m 39s (- 208m 31s) completed: 93%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0435  acc: 0.6039  lr: 0.0000 
Validation loss:1.560, accuracy:0.572
ep/it:1396-  31 niter:534700  2797m 56s (- 208m 15s) completed: 93%) loss_emb: 0.0000  loss: 1.3574  loss_TTT: 0.0422  acc: 0.6044  lr: 0.0000 
ep/it:1396-  81 niter:534750  2798m 11s (- 208m 0s) completed: 93%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0445  acc: 0.5950  lr: 0.0000 
ep/it:1396- 131 niter:534800  2798m 26s (- 207m 44s) completed: 93%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0441  acc: 0.6095  lr: 0.0000 
ep/it:1396- 181 niter:534850  2798m 41s (- 207m 28s) completed: 93%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0437  acc: 0.6047  lr: 0.0000 
ep/it:1396- 231 niter:534900  2798m 56s (- 207m 12s) completed: 93%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0435  acc: 0.6021  lr: 0.0000 
ep/it:1396- 281 niter:534950  2799m 10s (- 206m 56s) completed: 93%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0450  acc: 0.6065  lr: 0.0000 
ep/it:1396- 331 niter:535000  2799m 25s (- 206m 41s) completed: 93%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0455  acc: 0.6014  lr: 0.0000 
ep/it:1396- 381 niter:535050  2799m 39s (- 206m 25s) completed: 93%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0445  acc: 0.5979  lr: 0.0000 
Validation loss:1.608, accuracy:0.557
ep/it:1397-  48 niter:535100  2799m 56s (- 206m 9s) completed: 93%) loss_emb: 0.0000  loss: 1.3416  loss_TTT: 0.0419  acc: 0.6081  lr: 0.0000 
ep/it:1397-  98 niter:535150  2800m 11s (- 205m 54s) completed: 93%) loss_emb: 0.0000  loss: 1.3548  loss_TTT: 0.0431  acc: 0.6049  lr: 0.0000 
ep/it:1397- 148 niter:535200  2800m 25s (- 205m 38s) completed: 93%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0445  acc: 0.6015  lr: 0.0000 
ep/it:1397- 198 niter:535250  2800m 40s (- 205m 22s) completed: 93%) loss_emb: 0.0000  loss: 1.3542  loss_TTT: 0.0454  acc: 0.6045  lr: 0.0000 
ep/it:1397- 248 niter:535300  2800m 55s (- 205m 6s) completed: 93%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0443  acc: 0.5977  lr: 0.0000 
ep/it:1397- 298 niter:535350  2801m 9s (- 204m 50s) completed: 93%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0427  acc: 0.5996  lr: 0.0000 
ep/it:1397- 348 niter:535400  2801m 24s (- 204m 35s) completed: 93%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0450  acc: 0.5981  lr: 0.0000 
Validation loss:1.585, accuracy:0.562
ep/it:1398-  15 niter:535450  2801m 41s (- 204m 19s) completed: 93%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0440  acc: 0.6039  lr: 0.0000 
ep/it:1398-  65 niter:535500  2801m 55s (- 204m 3s) completed: 93%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0436  acc: 0.6014  lr: 0.0000 
ep/it:1398- 115 niter:535550  2802m 10s (- 203m 47s) completed: 93%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0441  acc: 0.6038  lr: 0.0000 
ep/it:1398- 165 niter:535600  2802m 25s (- 203m 32s) completed: 93%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0437  acc: 0.5994  lr: 0.0000 
ep/it:1398- 215 niter:535650  2802m 39s (- 203m 16s) completed: 93%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0441  acc: 0.6044  lr: 0.0000 
ep/it:1398- 265 niter:535700  2802m 54s (- 203m 0s) completed: 93%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0446  acc: 0.6014  lr: 0.0000 
ep/it:1398- 315 niter:535750  2803m 8s (- 202m 44s) completed: 93%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0448  acc: 0.6093  lr: 0.0000 
ep/it:1398- 365 niter:535800  2803m 22s (- 202m 29s) completed: 93%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0446  acc: 0.6051  lr: 0.0000 
Validation loss:1.597, accuracy:0.561
ep/it:1399-  32 niter:535850  2803m 40s (- 202m 13s) completed: 93%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0450  acc: 0.6053  lr: 0.0000 
ep/it:1399-  82 niter:535900  2803m 54s (- 201m 57s) completed: 93%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0438  acc: 0.6000  lr: 0.0000 
ep/it:1399- 132 niter:535950  2804m 9s (- 201m 41s) completed: 93%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0437  acc: 0.6042  lr: 0.0000 
ep/it:1399- 182 niter:536000  2804m 23s (- 201m 26s) completed: 93%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0444  acc: 0.6046  lr: 0.0000 
ep/it:1399- 232 niter:536050  2804m 38s (- 201m 10s) completed: 93%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0443  acc: 0.5991  lr: 0.0000 
ep/it:1399- 282 niter:536100  2804m 53s (- 200m 54s) completed: 93%) loss_emb: 0.0000  loss: 1.3462  loss_TTT: 0.0444  acc: 0.6085  lr: 0.0000 
ep/it:1399- 332 niter:536150  2805m 8s (- 200m 38s) completed: 93%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0450  acc: 0.5898  lr: 0.0000 
ep/it:1399- 382 niter:536200  2805m 22s (- 200m 23s) completed: 93%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0431  acc: 0.6030  lr: 0.0000 
Validation loss:1.589, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.60it/s]
 34%|███▍      | 16/47 [00:39<01:16,  2.48s/it]
 68%|██████▊   | 32/47 [01:17<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.66s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.38029412738979 avg: 38.38029412738979
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.63240575604141 avg: 38.5063499417156
--> 	 Eva. Repeat 0 :, FID. 0.1121, Diversity Real. 9.6907, Diversity. 9.5853, R_precision_real. [0.49902344 0.68945312 0.78613281], R_precision. [0.51855469 0.72167969 0.81542969], matching_score_real. 3.0235, matching_score_pred. 2.9715, skate_ratio. 0.0450, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0547 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0109 (kps_fail_50cm (Loc. err)): 0.0024 (kps_mean_err(m) (Avg. err)): 0.0277 
ep/it:1400-  49 niter:536250  2806m 58s (- 200m 13s) completed: 93%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0434  acc: 0.5956  lr: 0.0000 
ep/it:1400-  99 niter:536300  2807m 12s (- 199m 57s) completed: 93%) loss_emb: 0.0000  loss: 1.3476  loss_TTT: 0.0433  acc: 0.6062  lr: 0.0000 
ep/it:1400- 149 niter:536350  2807m 26s (- 199m 41s) completed: 93%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0417  acc: 0.5985  lr: 0.0000 
ep/it:1400- 199 niter:536400  2807m 40s (- 199m 25s) completed: 93%) loss_emb: 0.0000  loss: 1.3418  loss_TTT: 0.0435  acc: 0.6089  lr: 0.0000 
ep/it:1400- 249 niter:536450  2807m 54s (- 199m 9s) completed: 93%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0440  acc: 0.6012  lr: 0.0000 
ep/it:1400- 299 niter:536500  2808m 9s (- 198m 54s) completed: 93%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0455  acc: 0.6047  lr: 0.0000 
ep/it:1400- 349 niter:536550  2808m 23s (- 198m 38s) completed: 93%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0432  acc: 0.6058  lr: 0.0000 
Validation loss:1.565, accuracy:0.569
ep/it:1401-  16 niter:536600  2808m 40s (- 198m 22s) completed: 93%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0444  acc: 0.6000  lr: 0.0000 
ep/it:1401-  66 niter:536650  2808m 54s (- 198m 6s) completed: 93%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0445  acc: 0.5964  lr: 0.0000 
ep/it:1401- 116 niter:536700  2809m 8s (- 197m 50s) completed: 93%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0445  acc: 0.6011  lr: 0.0000 
ep/it:1401- 166 niter:536750  2809m 22s (- 197m 35s) completed: 93%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0431  acc: 0.6040  lr: 0.0000 
ep/it:1401- 216 niter:536800  2809m 36s (- 197m 19s) completed: 93%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0445  acc: 0.6013  lr: 0.0000 
ep/it:1401- 266 niter:536850  2809m 50s (- 197m 3s) completed: 93%) loss_emb: 0.0000  loss: 1.3414  loss_TTT: 0.0438  acc: 0.6087  lr: 0.0000 
ep/it:1401- 316 niter:536900  2810m 4s (- 196m 47s) completed: 93%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0444  acc: 0.6085  lr: 0.0000 
ep/it:1401- 366 niter:536950  2810m 18s (- 196m 31s) completed: 93%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0442  acc: 0.6038  lr: 0.0000 
Validation loss:1.571, accuracy:0.568
ep/it:1402-  33 niter:537000  2810m 35s (- 196m 16s) completed: 93%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0432  acc: 0.5988  lr: 0.0000 
ep/it:1402-  83 niter:537050  2810m 49s (- 196m 0s) completed: 93%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0470  acc: 0.6021  lr: 0.0000 
ep/it:1402- 133 niter:537100  2811m 3s (- 195m 44s) completed: 93%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0448  acc: 0.5962  lr: 0.0000 
ep/it:1402- 183 niter:537150  2811m 18s (- 195m 28s) completed: 93%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0452  acc: 0.5990  lr: 0.0000 
ep/it:1402- 233 niter:537200  2811m 32s (- 195m 13s) completed: 93%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0433  acc: 0.6036  lr: 0.0000 
ep/it:1402- 283 niter:537250  2811m 46s (- 194m 57s) completed: 93%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0435  acc: 0.6017  lr: 0.0000 
ep/it:1402- 333 niter:537300  2812m 0s (- 194m 41s) completed: 93%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0435  acc: 0.5980  lr: 0.0000 
Validation loss:1.588, accuracy:0.565
ep/it:1403-   0 niter:537350  2812m 17s (- 194m 25s) completed: 93%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0439  acc: 0.6036  lr: 0.0000 
ep/it:1403-  50 niter:537400  2812m 31s (- 194m 9s) completed: 93%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0431  acc: 0.6031  lr: 0.0000 
ep/it:1403- 100 niter:537450  2812m 45s (- 193m 54s) completed: 93%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0433  acc: 0.5958  lr: 0.0000 
ep/it:1403- 150 niter:537500  2813m 0s (- 193m 38s) completed: 93%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0433  acc: 0.6023  lr: 0.0000 
ep/it:1403- 200 niter:537550  2813m 14s (- 193m 22s) completed: 93%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0441  acc: 0.5980  lr: 0.0000 
ep/it:1403- 250 niter:537600  2813m 29s (- 193m 6s) completed: 93%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0448  acc: 0.6020  lr: 0.0000 
ep/it:1403- 300 niter:537650  2813m 44s (- 192m 51s) completed: 93%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0464  acc: 0.6019  lr: 0.0000 
ep/it:1403- 350 niter:537700  2813m 58s (- 192m 35s) completed: 93%) loss_emb: 0.0000  loss: 1.3443  loss_TTT: 0.0431  acc: 0.6083  lr: 0.0000 
Validation loss:1.552, accuracy:0.573
ep/it:1404-  17 niter:537750  2814m 15s (- 192m 19s) completed: 93%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0458  acc: 0.5991  lr: 0.0000 
ep/it:1404-  67 niter:537800  2814m 30s (- 192m 3s) completed: 93%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0447  acc: 0.6030  lr: 0.0000 
ep/it:1404- 117 niter:537850  2814m 44s (- 191m 48s) completed: 93%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0435  acc: 0.6046  lr: 0.0000 
ep/it:1404- 167 niter:537900  2814m 58s (- 191m 32s) completed: 93%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0438  acc: 0.6046  lr: 0.0000 
ep/it:1404- 217 niter:537950  2815m 13s (- 191m 16s) completed: 93%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0448  acc: 0.6044  lr: 0.0000 
ep/it:1404- 267 niter:538000  2815m 28s (- 191m 0s) completed: 93%) loss_emb: 0.0000  loss: 1.3455  loss_TTT: 0.0421  acc: 0.6084  lr: 0.0000 
ep/it:1404- 317 niter:538050  2815m 43s (- 190m 45s) completed: 93%) loss_emb: 0.0000  loss: 1.3304  loss_TTT: 0.0427  acc: 0.6098  lr: 0.0000 
ep/it:1404- 367 niter:538100  2815m 58s (- 190m 29s) completed: 93%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0433  acc: 0.5983  lr: 0.0000 
Validation loss:1.563, accuracy:0.570
ep/it:1405-  34 niter:538150  2816m 15s (- 190m 13s) completed: 93%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0438  acc: 0.6010  lr: 0.0000 
ep/it:1405-  84 niter:538200  2816m 29s (- 189m 57s) completed: 93%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0433  acc: 0.6024  lr: 0.0000 
ep/it:1405- 134 niter:538250  2816m 43s (- 189m 42s) completed: 93%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0444  acc: 0.6017  lr: 0.0000 
ep/it:1405- 184 niter:538300  2816m 57s (- 189m 26s) completed: 93%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0429  acc: 0.6039  lr: 0.0000 
ep/it:1405- 234 niter:538350  2817m 11s (- 189m 10s) completed: 93%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0438  acc: 0.5961  lr: 0.0000 
ep/it:1405- 284 niter:538400  2817m 25s (- 188m 54s) completed: 93%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0446  acc: 0.6042  lr: 0.0000 
ep/it:1405- 334 niter:538450  2817m 40s (- 188m 38s) completed: 93%) loss_emb: 0.0000  loss: 1.3533  loss_TTT: 0.0437  acc: 0.6056  lr: 0.0000 
Validation loss:1.532, accuracy:0.579
ep/it:1406-   1 niter:538500  2817m 57s (- 188m 23s) completed: 93%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0439  acc: 0.5981  lr: 0.0000 
ep/it:1406-  51 niter:538550  2818m 11s (- 188m 7s) completed: 93%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0446  acc: 0.6031  lr: 0.0000 
ep/it:1406- 101 niter:538600  2818m 25s (- 187m 51s) completed: 93%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0442  acc: 0.5963  lr: 0.0000 
ep/it:1406- 151 niter:538650  2818m 40s (- 187m 35s) completed: 93%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0434  acc: 0.6051  lr: 0.0000 
ep/it:1406- 201 niter:538700  2818m 54s (- 187m 20s) completed: 93%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0443  acc: 0.6060  lr: 0.0000 
ep/it:1406- 251 niter:538750  2819m 8s (- 187m 4s) completed: 93%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0443  acc: 0.6034  lr: 0.0000 
ep/it:1406- 301 niter:538800  2819m 22s (- 186m 48s) completed: 93%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0435  acc: 0.5990  lr: 0.0000 
ep/it:1406- 351 niter:538850  2819m 36s (- 186m 32s) completed: 93%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0452  acc: 0.6022  lr: 0.0000 
Validation loss:1.576, accuracy:0.568
ep/it:1407-  18 niter:538900  2819m 53s (- 186m 16s) completed: 93%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0443  acc: 0.6075  lr: 0.0000 
ep/it:1407-  68 niter:538950  2820m 7s (- 186m 1s) completed: 93%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0434  acc: 0.6006  lr: 0.0000 
ep/it:1407- 118 niter:539000  2820m 22s (- 185m 45s) completed: 93%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0444  acc: 0.6041  lr: 0.0000 
ep/it:1407- 168 niter:539050  2820m 38s (- 185m 29s) completed: 93%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0436  acc: 0.6065  lr: 0.0000 
ep/it:1407- 218 niter:539100  2820m 52s (- 185m 13s) completed: 93%) loss_emb: 0.0000  loss: 1.3451  loss_TTT: 0.0429  acc: 0.6061  lr: 0.0000 
ep/it:1407- 268 niter:539150  2821m 7s (- 184m 58s) completed: 93%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0451  acc: 0.5943  lr: 0.0000 
ep/it:1407- 318 niter:539200  2821m 22s (- 184m 42s) completed: 93%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0435  acc: 0.6036  lr: 0.0000 
ep/it:1407- 368 niter:539250  2821m 37s (- 184m 26s) completed: 93%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0434  acc: 0.6006  lr: 0.0000 
Validation loss:1.560, accuracy:0.572
ep/it:1408-  35 niter:539300  2821m 54s (- 184m 11s) completed: 93%) loss_emb: 0.0000  loss: 1.3503  loss_TTT: 0.0448  acc: 0.6069  lr: 0.0000 
ep/it:1408-  85 niter:539350  2822m 8s (- 183m 55s) completed: 93%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0455  acc: 0.6067  lr: 0.0000 
ep/it:1408- 135 niter:539400  2822m 23s (- 183m 39s) completed: 93%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0420  acc: 0.6030  lr: 0.0000 
ep/it:1408- 185 niter:539450  2822m 37s (- 183m 23s) completed: 93%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0432  acc: 0.6079  lr: 0.0000 
ep/it:1408- 235 niter:539500  2822m 52s (- 183m 7s) completed: 93%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0443  acc: 0.5931  lr: 0.0000 
ep/it:1408- 285 niter:539550  2823m 6s (- 182m 52s) completed: 93%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0444  acc: 0.6041  lr: 0.0000 
ep/it:1408- 335 niter:539600  2823m 21s (- 182m 36s) completed: 93%) loss_emb: 0.0000  loss: 1.3740  loss_TTT: 0.0458  acc: 0.6017  lr: 0.0000 
Validation loss:1.526, accuracy:0.579
ep/it:1409-   2 niter:539650  2823m 38s (- 182m 20s) completed: 93%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0451  acc: 0.6007  lr: 0.0000 
ep/it:1409-  52 niter:539700  2823m 53s (- 182m 5s) completed: 93%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0440  acc: 0.5988  lr: 0.0000 
ep/it:1409- 102 niter:539750  2824m 7s (- 181m 49s) completed: 93%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0438  acc: 0.6033  lr: 0.0000 
ep/it:1409- 152 niter:539800  2824m 21s (- 181m 33s) completed: 93%) loss_emb: 0.0000  loss: 1.3388  loss_TTT: 0.0436  acc: 0.6086  lr: 0.0000 
ep/it:1409- 202 niter:539850  2824m 36s (- 181m 17s) completed: 93%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0441  acc: 0.6006  lr: 0.0000 
ep/it:1409- 252 niter:539900  2824m 50s (- 181m 1s) completed: 93%) loss_emb: 0.0000  loss: 1.3532  loss_TTT: 0.0433  acc: 0.6063  lr: 0.0000 
ep/it:1409- 302 niter:539950  2825m 4s (- 180m 46s) completed: 93%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0445  acc: 0.5979  lr: 0.0000 
ep/it:1409- 352 niter:540000  2825m 19s (- 180m 30s) completed: 93%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0438  acc: 0.6093  lr: 0.0000 
Validation loss:1.552, accuracy:0.572

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.58it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.45s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.74313691072166 avg: 38.74313691072166
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.420857686549425 avg: 38.58199729863554
--> 	 Eva. Repeat 0 :, FID. 0.0736, Diversity Real. 9.4425, Diversity. 9.5014, R_precision_real. [0.49609375 0.69140625 0.79785156], R_precision. [0.50488281 0.69921875 0.79882812], matching_score_real. 2.9814, matching_score_pred. 2.9687, skate_ratio. 0.0497, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0625 (traj_fail_50cm (Traj err)): 0.0107 (kps_fail_20cm): 0.0126 (kps_fail_50cm (Loc. err)): 0.0015 (kps_mean_err(m) (Avg. err)): 0.0277 
ep/it:1410-  19 niter:540050  2826m 55s (- 180m 19s) completed: 94%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0437  acc: 0.6012  lr: 0.0000 
ep/it:1410-  69 niter:540100  2827m 9s (- 180m 4s) completed: 94%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0447  acc: 0.6045  lr: 0.0000 
ep/it:1410- 119 niter:540150  2827m 24s (- 179m 48s) completed: 94%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0423  acc: 0.5984  lr: 0.0000 
ep/it:1410- 169 niter:540200  2827m 38s (- 179m 32s) completed: 94%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0442  acc: 0.6025  lr: 0.0000 
ep/it:1410- 219 niter:540250  2827m 52s (- 179m 16s) completed: 94%) loss_emb: 0.0000  loss: 1.3528  loss_TTT: 0.0427  acc: 0.6031  lr: 0.0000 
ep/it:1410- 269 niter:540300  2828m 7s (- 179m 0s) completed: 94%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0428  acc: 0.6031  lr: 0.0000 
ep/it:1410- 319 niter:540350  2828m 22s (- 178m 45s) completed: 94%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0435  acc: 0.6001  lr: 0.0000 
ep/it:1410- 369 niter:540400  2828m 36s (- 178m 29s) completed: 94%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0437  acc: 0.6017  lr: 0.0000 
Validation loss:1.567, accuracy:0.570
ep/it:1411-  36 niter:540450  2828m 53s (- 178m 13s) completed: 94%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0436  acc: 0.6047  lr: 0.0000 
ep/it:1411-  86 niter:540500  2829m 7s (- 177m 57s) completed: 94%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0451  acc: 0.5973  lr: 0.0000 
ep/it:1411- 136 niter:540550  2829m 22s (- 177m 42s) completed: 94%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0438  acc: 0.6072  lr: 0.0000 
ep/it:1411- 186 niter:540600  2829m 36s (- 177m 26s) completed: 94%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0416  acc: 0.6076  lr: 0.0000 
ep/it:1411- 236 niter:540650  2829m 50s (- 177m 10s) completed: 94%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0432  acc: 0.6012  lr: 0.0000 
ep/it:1411- 286 niter:540700  2830m 4s (- 176m 54s) completed: 94%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0439  acc: 0.6028  lr: 0.0000 
ep/it:1411- 336 niter:540750  2830m 20s (- 176m 39s) completed: 94%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0432  acc: 0.6009  lr: 0.0000 
Validation loss:1.561, accuracy:0.570
ep/it:1412-   3 niter:540800  2830m 36s (- 176m 23s) completed: 94%) loss_emb: 0.0000  loss: 1.3690  loss_TTT: 0.0438  acc: 0.6001  lr: 0.0000 
ep/it:1412-  53 niter:540850  2830m 50s (- 176m 7s) completed: 94%) loss_emb: 0.0000  loss: 1.3469  loss_TTT: 0.0434  acc: 0.6067  lr: 0.0000 
ep/it:1412- 103 niter:540900  2831m 4s (- 175m 51s) completed: 94%) loss_emb: 0.0000  loss: 1.3503  loss_TTT: 0.0440  acc: 0.6069  lr: 0.0000 
ep/it:1412- 153 niter:540950  2831m 18s (- 175m 35s) completed: 94%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0435  acc: 0.5990  lr: 0.0000 
ep/it:1412- 203 niter:541000  2831m 32s (- 175m 20s) completed: 94%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0440  acc: 0.5991  lr: 0.0000 
ep/it:1412- 253 niter:541050  2831m 47s (- 175m 4s) completed: 94%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0445  acc: 0.6074  lr: 0.0000 
ep/it:1412- 303 niter:541100  2832m 1s (- 174m 48s) completed: 94%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0438  acc: 0.6037  lr: 0.0000 
ep/it:1412- 353 niter:541150  2832m 15s (- 174m 32s) completed: 94%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0438  acc: 0.6006  lr: 0.0000 
Validation loss:1.526, accuracy:0.581
ep/it:1413-  20 niter:541200  2832m 31s (- 174m 17s) completed: 94%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0447  acc: 0.6008  lr: 0.0000 
ep/it:1413-  70 niter:541250  2832m 46s (- 174m 1s) completed: 94%) loss_emb: 0.0000  loss: 1.3476  loss_TTT: 0.0425  acc: 0.6069  lr: 0.0000 
ep/it:1413- 120 niter:541300  2833m 0s (- 173m 45s) completed: 94%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0448  acc: 0.5947  lr: 0.0000 
ep/it:1413- 170 niter:541350  2833m 13s (- 173m 29s) completed: 94%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0442  acc: 0.6044  lr: 0.0000 
ep/it:1413- 220 niter:541400  2833m 28s (- 173m 13s) completed: 94%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0443  acc: 0.5969  lr: 0.0000 
ep/it:1413- 270 niter:541450  2833m 42s (- 172m 58s) completed: 94%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0430  acc: 0.6000  lr: 0.0000 
ep/it:1413- 320 niter:541500  2833m 55s (- 172m 42s) completed: 94%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0435  acc: 0.6018  lr: 0.0000 
ep/it:1413- 370 niter:541550  2834m 10s (- 172m 26s) completed: 94%) loss_emb: 0.0000  loss: 1.3355  loss_TTT: 0.0442  acc: 0.6104  lr: 0.0000 
Validation loss:1.566, accuracy:0.569
ep/it:1414-  37 niter:541600  2834m 26s (- 172m 10s) completed: 94%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0435  acc: 0.6027  lr: 0.0000 
ep/it:1414-  87 niter:541650  2834m 40s (- 171m 55s) completed: 94%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0424  acc: 0.6035  lr: 0.0000 
ep/it:1414- 137 niter:541700  2834m 55s (- 171m 39s) completed: 94%) loss_emb: 0.0000  loss: 1.3387  loss_TTT: 0.0435  acc: 0.6092  lr: 0.0000 
ep/it:1414- 187 niter:541750  2835m 9s (- 171m 23s) completed: 94%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0436  acc: 0.6043  lr: 0.0000 
ep/it:1414- 237 niter:541800  2835m 23s (- 171m 7s) completed: 94%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0451  acc: 0.6047  lr: 0.0000 
ep/it:1414- 287 niter:541850  2835m 38s (- 170m 51s) completed: 94%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0444  acc: 0.6035  lr: 0.0000 
ep/it:1414- 337 niter:541900  2835m 52s (- 170m 36s) completed: 94%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0438  acc: 0.6022  lr: 0.0000 
Validation loss:1.532, accuracy:0.579
ep/it:1415-   4 niter:541950  2836m 8s (- 170m 20s) completed: 94%) loss_emb: 0.0000  loss: 1.3385  loss_TTT: 0.0439  acc: 0.6098  lr: 0.0000 
ep/it:1415-  54 niter:542000  2836m 22s (- 170m 4s) completed: 94%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0434  acc: 0.6040  lr: 0.0000 
ep/it:1415- 104 niter:542050  2836m 37s (- 169m 48s) completed: 94%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0435  acc: 0.6037  lr: 0.0000 
ep/it:1415- 154 niter:542100  2836m 52s (- 169m 33s) completed: 94%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0445  acc: 0.6052  lr: 0.0000 
ep/it:1415- 204 niter:542150  2837m 6s (- 169m 17s) completed: 94%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0450  acc: 0.5968  lr: 0.0000 
ep/it:1415- 254 niter:542200  2837m 20s (- 169m 1s) completed: 94%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0444  acc: 0.6022  lr: 0.0000 
ep/it:1415- 304 niter:542250  2837m 35s (- 168m 45s) completed: 94%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0449  acc: 0.6017  lr: 0.0000 
ep/it:1415- 354 niter:542300  2837m 49s (- 168m 30s) completed: 94%) loss_emb: 0.0000  loss: 1.3459  loss_TTT: 0.0441  acc: 0.6068  lr: 0.0000 
Validation loss:1.548, accuracy:0.572
ep/it:1416-  21 niter:542350  2838m 5s (- 168m 14s) completed: 94%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0431  acc: 0.5992  lr: 0.0000 
ep/it:1416-  71 niter:542400  2838m 20s (- 167m 58s) completed: 94%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0432  acc: 0.6021  lr: 0.0000 
ep/it:1416- 121 niter:542450  2838m 33s (- 167m 42s) completed: 94%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0428  acc: 0.6051  lr: 0.0000 
ep/it:1416- 171 niter:542500  2838m 47s (- 167m 26s) completed: 94%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0437  acc: 0.6015  lr: 0.0000 
ep/it:1416- 221 niter:542550  2839m 2s (- 167m 11s) completed: 94%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0429  acc: 0.5996  lr: 0.0000 
ep/it:1416- 271 niter:542600  2839m 16s (- 166m 55s) completed: 94%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0466  acc: 0.6037  lr: 0.0000 
ep/it:1416- 321 niter:542650  2839m 30s (- 166m 39s) completed: 94%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0446  acc: 0.6020  lr: 0.0000 
ep/it:1416- 371 niter:542700  2839m 44s (- 166m 23s) completed: 94%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0432  acc: 0.6006  lr: 0.0000 
Validation loss:1.569, accuracy:0.568
ep/it:1417-  38 niter:542750  2840m 0s (- 166m 8s) completed: 94%) loss_emb: 0.0000  loss: 1.3489  loss_TTT: 0.0421  acc: 0.6072  lr: 0.0000 
ep/it:1417-  88 niter:542800  2840m 14s (- 165m 52s) completed: 94%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0441  acc: 0.6015  lr: 0.0000 
ep/it:1417- 138 niter:542850  2840m 29s (- 165m 36s) completed: 94%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0453  acc: 0.6034  lr: 0.0000 
ep/it:1417- 188 niter:542900  2840m 42s (- 165m 20s) completed: 94%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0447  acc: 0.6011  lr: 0.0000 
ep/it:1417- 238 niter:542950  2840m 57s (- 165m 4s) completed: 94%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0428  acc: 0.6033  lr: 0.0000 
ep/it:1417- 288 niter:543000  2841m 11s (- 164m 49s) completed: 94%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0436  acc: 0.6069  lr: 0.0000 
ep/it:1417- 338 niter:543050  2841m 25s (- 164m 33s) completed: 94%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0441  acc: 0.6016  lr: 0.0000 
Validation loss:1.578, accuracy:0.565
ep/it:1418-   5 niter:543100  2841m 42s (- 164m 17s) completed: 94%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0436  acc: 0.6047  lr: 0.0000 
ep/it:1418-  55 niter:543150  2841m 56s (- 164m 2s) completed: 94%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0442  acc: 0.6036  lr: 0.0000 
ep/it:1418- 105 niter:543200  2842m 10s (- 163m 46s) completed: 94%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0452  acc: 0.6024  lr: 0.0000 
ep/it:1418- 155 niter:543250  2842m 24s (- 163m 30s) completed: 94%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0451  acc: 0.6035  lr: 0.0000 
ep/it:1418- 205 niter:543300  2842m 38s (- 163m 14s) completed: 94%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0436  acc: 0.6009  lr: 0.0000 
ep/it:1418- 255 niter:543350  2842m 52s (- 162m 58s) completed: 94%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0441  acc: 0.6057  lr: 0.0000 
ep/it:1418- 305 niter:543400  2843m 6s (- 162m 43s) completed: 94%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0452  acc: 0.6010  lr: 0.0000 
ep/it:1418- 355 niter:543450  2843m 20s (- 162m 27s) completed: 94%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0440  acc: 0.6070  lr: 0.0000 
Validation loss:1.576, accuracy:0.566
ep/it:1419-  22 niter:543500  2843m 37s (- 162m 11s) completed: 94%) loss_emb: 0.0000  loss: 1.3316  loss_TTT: 0.0446  acc: 0.6108  lr: 0.0000 
ep/it:1419-  72 niter:543550  2843m 51s (- 161m 55s) completed: 94%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0454  acc: 0.6018  lr: 0.0000 
ep/it:1419- 122 niter:543600  2844m 5s (- 161m 40s) completed: 94%) loss_emb: 0.0000  loss: 1.3302  loss_TTT: 0.0445  acc: 0.6121  lr: 0.0000 
ep/it:1419- 172 niter:543650  2844m 19s (- 161m 24s) completed: 94%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0436  acc: 0.5923  lr: 0.0000 
ep/it:1419- 222 niter:543700  2844m 33s (- 161m 8s) completed: 94%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0451  acc: 0.6028  lr: 0.0000 
ep/it:1419- 272 niter:543750  2844m 47s (- 160m 52s) completed: 94%) loss_emb: 0.0000  loss: 1.3495  loss_TTT: 0.0434  acc: 0.6063  lr: 0.0000 
ep/it:1419- 322 niter:543800  2845m 1s (- 160m 36s) completed: 94%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0443  acc: 0.6025  lr: 0.0000 
ep/it:1419- 372 niter:543850  2845m 15s (- 160m 21s) completed: 94%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0430  acc: 0.6036  lr: 0.0000 
Validation loss:1.560, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.85it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.01239618193358 avg: 39.01239618193358
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.57466072309762 avg: 38.7935284525156
--> 	 Eva. Repeat 0 :, FID. 0.0774, Diversity Real. 9.5639, Diversity. 9.4454, R_precision_real. [0.52050781 0.71289062 0.796875  ], R_precision. [0.51269531 0.70996094 0.8046875 ], matching_score_real. 2.8883, matching_score_pred. 2.9569, skate_ratio. 0.0458, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0576 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0138 (kps_fail_50cm (Loc. err)): 0.0010 (kps_mean_err(m) (Avg. err)): 0.0281 
ep/it:1420-  39 niter:543900  2846m 51s (- 160m 9s) completed: 94%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0417  acc: 0.6019  lr: 0.0000 
ep/it:1420-  89 niter:543950  2847m 6s (- 159m 54s) completed: 94%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0434  acc: 0.6063  lr: 0.0000 
ep/it:1420- 139 niter:544000  2847m 21s (- 159m 38s) completed: 94%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0456  acc: 0.6068  lr: 0.0000 
ep/it:1420- 189 niter:544050  2847m 35s (- 159m 22s) completed: 94%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0439  acc: 0.6047  lr: 0.0000 
ep/it:1420- 239 niter:544100  2847m 50s (- 159m 6s) completed: 94%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0457  acc: 0.6046  lr: 0.0000 
ep/it:1420- 289 niter:544150  2848m 5s (- 158m 51s) completed: 94%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0433  acc: 0.6004  lr: 0.0000 
ep/it:1420- 339 niter:544200  2848m 19s (- 158m 35s) completed: 94%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0436  acc: 0.6028  lr: 0.0000 
Validation loss:1.571, accuracy:0.570
ep/it:1421-   6 niter:544250  2848m 37s (- 158m 19s) completed: 94%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0464  acc: 0.6080  lr: 0.0000 
ep/it:1421-  56 niter:544300  2848m 51s (- 158m 3s) completed: 94%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0429  acc: 0.6014  lr: 0.0000 
ep/it:1421- 106 niter:544350  2849m 5s (- 157m 48s) completed: 94%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0425  acc: 0.5969  lr: 0.0000 
ep/it:1421- 156 niter:544400  2849m 19s (- 157m 32s) completed: 94%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0442  acc: 0.6033  lr: 0.0000 
ep/it:1421- 206 niter:544450  2849m 34s (- 157m 16s) completed: 94%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0448  acc: 0.6042  lr: 0.0000 
ep/it:1421- 256 niter:544500  2849m 49s (- 157m 0s) completed: 94%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0435  acc: 0.6054  lr: 0.0000 
ep/it:1421- 306 niter:544550  2850m 4s (- 156m 45s) completed: 94%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0444  acc: 0.6047  lr: 0.0000 
ep/it:1421- 356 niter:544600  2850m 19s (- 156m 29s) completed: 94%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0446  acc: 0.5995  lr: 0.0000 
Validation loss:1.595, accuracy:0.561
ep/it:1422-  23 niter:544650  2850m 36s (- 156m 13s) completed: 94%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0441  acc: 0.6003  lr: 0.0000 
ep/it:1422-  73 niter:544700  2850m 50s (- 155m 58s) completed: 94%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0455  acc: 0.6015  lr: 0.0000 
ep/it:1422- 123 niter:544750  2851m 5s (- 155m 42s) completed: 94%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0435  acc: 0.6074  lr: 0.0000 
ep/it:1422- 173 niter:544800  2851m 19s (- 155m 26s) completed: 94%) loss_emb: 0.0000  loss: 1.3401  loss_TTT: 0.0438  acc: 0.6082  lr: 0.0000 
ep/it:1422- 223 niter:544850  2851m 34s (- 155m 10s) completed: 94%) loss_emb: 0.0000  loss: 1.3403  loss_TTT: 0.0450  acc: 0.6099  lr: 0.0000 
ep/it:1422- 273 niter:544900  2851m 48s (- 154m 54s) completed: 94%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0442  acc: 0.6002  lr: 0.0000 
ep/it:1422- 323 niter:544950  2852m 3s (- 154m 39s) completed: 94%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0440  acc: 0.6042  lr: 0.0000 
ep/it:1422- 373 niter:545000  2852m 18s (- 154m 23s) completed: 94%) loss_emb: 0.0000  loss: 1.3373  loss_TTT: 0.0442  acc: 0.6091  lr: 0.0000 
Validation loss:1.571, accuracy:0.570
ep/it:1423-  40 niter:545050  2852m 36s (- 154m 7s) completed: 94%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0437  acc: 0.6035  lr: 0.0000 
ep/it:1423-  90 niter:545100  2852m 50s (- 153m 52s) completed: 94%) loss_emb: 0.0000  loss: 1.3464  loss_TTT: 0.0411  acc: 0.6060  lr: 0.0000 
ep/it:1423- 140 niter:545150  2853m 5s (- 153m 36s) completed: 94%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0441  acc: 0.6032  lr: 0.0000 
ep/it:1423- 190 niter:545200  2853m 19s (- 153m 20s) completed: 94%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0437  acc: 0.6013  lr: 0.0000 
ep/it:1423- 240 niter:545250  2853m 34s (- 153m 4s) completed: 94%) loss_emb: 0.0000  loss: 1.3429  loss_TTT: 0.0444  acc: 0.6081  lr: 0.0000 
ep/it:1423- 290 niter:545300  2853m 48s (- 152m 49s) completed: 94%) loss_emb: 0.0000  loss: 1.3553  loss_TTT: 0.0440  acc: 0.6045  lr: 0.0000 
ep/it:1423- 340 niter:545350  2854m 3s (- 152m 33s) completed: 94%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0435  acc: 0.5964  lr: 0.0000 
Validation loss:1.579, accuracy:0.565
ep/it:1424-   7 niter:545400  2854m 20s (- 152m 17s) completed: 94%) loss_emb: 0.0000  loss: 1.3821  loss_TTT: 0.0453  acc: 0.5985  lr: 0.0000 
ep/it:1424-  57 niter:545450  2854m 34s (- 152m 1s) completed: 94%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0444  acc: 0.5991  lr: 0.0000 
ep/it:1424- 107 niter:545500  2854m 49s (- 151m 46s) completed: 94%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0438  acc: 0.6039  lr: 0.0000 
ep/it:1424- 157 niter:545550  2855m 4s (- 151m 30s) completed: 94%) loss_emb: 0.0000  loss: 1.3573  loss_TTT: 0.0451  acc: 0.6043  lr: 0.0000 
ep/it:1424- 207 niter:545600  2855m 19s (- 151m 14s) completed: 94%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0436  acc: 0.6048  lr: 0.0000 
ep/it:1424- 257 niter:545650  2855m 33s (- 150m 58s) completed: 94%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0445  acc: 0.6029  lr: 0.0000 
ep/it:1424- 307 niter:545700  2855m 48s (- 150m 43s) completed: 94%) loss_emb: 0.0000  loss: 1.3578  loss_TTT: 0.0436  acc: 0.6044  lr: 0.0000 
ep/it:1424- 357 niter:545750  2856m 3s (- 150m 27s) completed: 94%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0437  acc: 0.6001  lr: 0.0000 
Validation loss:1.528, accuracy:0.579
ep/it:1425-  24 niter:545800  2856m 19s (- 150m 11s) completed: 95%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0436  acc: 0.6058  lr: 0.0000 
ep/it:1425-  74 niter:545850  2856m 34s (- 149m 55s) completed: 95%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0444  acc: 0.6021  lr: 0.0000 
ep/it:1425- 124 niter:545900  2856m 48s (- 149m 40s) completed: 95%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0447  acc: 0.5930  lr: 0.0000 
ep/it:1425- 174 niter:545950  2857m 2s (- 149m 24s) completed: 95%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0458  acc: 0.5913  lr: 0.0000 
ep/it:1425- 224 niter:546000  2857m 16s (- 149m 8s) completed: 95%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0436  acc: 0.5986  lr: 0.0000 
ep/it:1425- 274 niter:546050  2857m 30s (- 148m 52s) completed: 95%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0453  acc: 0.6028  lr: 0.0000 
ep/it:1425- 324 niter:546100  2857m 44s (- 148m 37s) completed: 95%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0445  acc: 0.6077  lr: 0.0000 
ep/it:1425- 374 niter:546150  2857m 58s (- 148m 21s) completed: 95%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0421  acc: 0.6042  lr: 0.0000 
Validation loss:1.522, accuracy:0.583
ep/it:1426-  41 niter:546200  2858m 15s (- 148m 5s) completed: 95%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0438  acc: 0.5995  lr: 0.0000 
ep/it:1426-  91 niter:546250  2858m 30s (- 147m 49s) completed: 95%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0433  acc: 0.5987  lr: 0.0000 
ep/it:1426- 141 niter:546300  2858m 44s (- 147m 34s) completed: 95%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0453  acc: 0.5984  lr: 0.0000 
ep/it:1426- 191 niter:546350  2858m 58s (- 147m 18s) completed: 95%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0431  acc: 0.6011  lr: 0.0000 
ep/it:1426- 241 niter:546400  2859m 12s (- 147m 2s) completed: 95%) loss_emb: 0.0000  loss: 1.3567  loss_TTT: 0.0426  acc: 0.6036  lr: 0.0000 
ep/it:1426- 291 niter:546450  2859m 26s (- 146m 46s) completed: 95%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0436  acc: 0.6004  lr: 0.0000 
ep/it:1426- 341 niter:546500  2859m 40s (- 146m 30s) completed: 95%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0433  acc: 0.5982  lr: 0.0000 
Validation loss:1.587, accuracy:0.563
ep/it:1427-   8 niter:546550  2859m 57s (- 146m 15s) completed: 95%) loss_emb: 0.0000  loss: 1.3356  loss_TTT: 0.0440  acc: 0.6099  lr: 0.0000 
ep/it:1427-  58 niter:546600  2860m 11s (- 145m 59s) completed: 95%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0438  acc: 0.6019  lr: 0.0000 
ep/it:1427- 108 niter:546650  2860m 26s (- 145m 43s) completed: 95%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0444  acc: 0.6048  lr: 0.0000 
ep/it:1427- 158 niter:546700  2860m 40s (- 145m 28s) completed: 95%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0441  acc: 0.5998  lr: 0.0000 
ep/it:1427- 208 niter:546750  2860m 55s (- 145m 12s) completed: 95%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0452  acc: 0.6045  lr: 0.0000 
ep/it:1427- 258 niter:546800  2861m 9s (- 144m 56s) completed: 95%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0443  acc: 0.6026  lr: 0.0000 
ep/it:1427- 308 niter:546850  2861m 24s (- 144m 40s) completed: 95%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0450  acc: 0.6007  lr: 0.0000 
ep/it:1427- 358 niter:546900  2861m 39s (- 144m 25s) completed: 95%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0430  acc: 0.6021  lr: 0.0000 
Validation loss:1.544, accuracy:0.574
ep/it:1428-  25 niter:546950  2861m 56s (- 144m 9s) completed: 95%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0451  acc: 0.5955  lr: 0.0000 
ep/it:1428-  75 niter:547000  2862m 10s (- 143m 53s) completed: 95%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0421  acc: 0.6021  lr: 0.0000 
ep/it:1428- 125 niter:547050  2862m 24s (- 143m 37s) completed: 95%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0441  acc: 0.5971  lr: 0.0000 
ep/it:1428- 175 niter:547100  2862m 38s (- 143m 22s) completed: 95%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0431  acc: 0.6036  lr: 0.0000 
ep/it:1428- 225 niter:547150  2862m 52s (- 143m 6s) completed: 95%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0456  acc: 0.5996  lr: 0.0000 
ep/it:1428- 275 niter:547200  2863m 6s (- 142m 50s) completed: 95%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0451  acc: 0.6011  lr: 0.0000 
ep/it:1428- 325 niter:547250  2863m 20s (- 142m 34s) completed: 95%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0434  acc: 0.5919  lr: 0.0000 
ep/it:1428- 375 niter:547300  2863m 35s (- 142m 18s) completed: 95%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0449  acc: 0.5984  lr: 0.0000 
Validation loss:1.572, accuracy:0.566
ep/it:1429-  42 niter:547350  2863m 52s (- 142m 3s) completed: 95%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0450  acc: 0.6018  lr: 0.0000 
ep/it:1429-  92 niter:547400  2864m 6s (- 141m 47s) completed: 95%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0449  acc: 0.5949  lr: 0.0000 
ep/it:1429- 142 niter:547450  2864m 21s (- 141m 31s) completed: 95%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0447  acc: 0.6017  lr: 0.0000 
ep/it:1429- 192 niter:547500  2864m 35s (- 141m 16s) completed: 95%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0442  acc: 0.6016  lr: 0.0000 
ep/it:1429- 242 niter:547550  2864m 50s (- 141m 0s) completed: 95%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0430  acc: 0.6066  lr: 0.0000 
ep/it:1429- 292 niter:547600  2865m 5s (- 140m 44s) completed: 95%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0435  acc: 0.6013  lr: 0.0000 
ep/it:1429- 342 niter:547650  2865m 19s (- 140m 28s) completed: 95%) loss_emb: 0.0000  loss: 1.3345  loss_TTT: 0.0424  acc: 0.6107  lr: 0.0000 
Validation loss:1.587, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.86it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.53s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.17774365656078 avg: 39.17774365656078
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.644572225399315 avg: 38.91115794098005
--> 	 Eva. Repeat 0 :, FID. 0.0757, Diversity Real. 9.8152, Diversity. 9.5872, R_precision_real. [0.50585938 0.69140625 0.79101562], R_precision. [0.52148438 0.71777344 0.82226562], matching_score_real. 2.8969, matching_score_pred. 2.8988, skate_ratio. 0.0448, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0527 (traj_fail_50cm (Traj err)): 0.0078 (kps_fail_20cm): 0.0136 (kps_fail_50cm (Loc. err)): 0.0014 (kps_mean_err(m) (Avg. err)): 0.0277 
ep/it:1430-   9 niter:547700  2866m 55s (- 140m 17s) completed: 95%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0426  acc: 0.6042  lr: 0.0000 
ep/it:1430-  59 niter:547750  2867m 9s (- 140m 1s) completed: 95%) loss_emb: 0.0000  loss: 1.3528  loss_TTT: 0.0444  acc: 0.6049  lr: 0.0000 
ep/it:1430- 109 niter:547800  2867m 23s (- 139m 45s) completed: 95%) loss_emb: 0.0000  loss: 1.3464  loss_TTT: 0.0443  acc: 0.6092  lr: 0.0000 
ep/it:1430- 159 niter:547850  2867m 37s (- 139m 29s) completed: 95%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0446  acc: 0.5997  lr: 0.0000 
ep/it:1430- 209 niter:547900  2867m 52s (- 139m 13s) completed: 95%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0436  acc: 0.5997  lr: 0.0000 
ep/it:1430- 259 niter:547950  2868m 6s (- 138m 58s) completed: 95%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0430  acc: 0.5977  lr: 0.0000 
ep/it:1430- 309 niter:548000  2868m 21s (- 138m 42s) completed: 95%) loss_emb: 0.0000  loss: 1.3489  loss_TTT: 0.0430  acc: 0.6069  lr: 0.0000 
ep/it:1430- 359 niter:548050  2868m 35s (- 138m 26s) completed: 95%) loss_emb: 0.0000  loss: 1.3425  loss_TTT: 0.0434  acc: 0.6072  lr: 0.0000 
Validation loss:1.541, accuracy:0.575
ep/it:1431-  26 niter:548100  2868m 51s (- 138m 10s) completed: 95%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0433  acc: 0.6028  lr: 0.0000 
ep/it:1431-  76 niter:548150  2869m 5s (- 137m 55s) completed: 95%) loss_emb: 0.0000  loss: 1.3271  loss_TTT: 0.0440  acc: 0.6127  lr: 0.0000 
ep/it:1431- 126 niter:548200  2869m 20s (- 137m 39s) completed: 95%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0452  acc: 0.6016  lr: 0.0000 
ep/it:1431- 176 niter:548250  2869m 35s (- 137m 23s) completed: 95%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0448  acc: 0.6008  lr: 0.0000 
ep/it:1431- 226 niter:548300  2869m 49s (- 137m 7s) completed: 95%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0424  acc: 0.6046  lr: 0.0000 
ep/it:1431- 276 niter:548350  2870m 4s (- 136m 52s) completed: 95%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0443  acc: 0.5991  lr: 0.0000 
ep/it:1431- 326 niter:548400  2870m 19s (- 136m 36s) completed: 95%) loss_emb: 0.0000  loss: 1.3533  loss_TTT: 0.0436  acc: 0.6062  lr: 0.0000 
ep/it:1431- 376 niter:548450  2870m 33s (- 136m 20s) completed: 95%) loss_emb: 0.0000  loss: 1.3476  loss_TTT: 0.0429  acc: 0.6063  lr: 0.0000 
Validation loss:1.577, accuracy:0.566
ep/it:1432-  43 niter:548500  2870m 50s (- 136m 5s) completed: 95%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0431  acc: 0.6018  lr: 0.0000 
ep/it:1432-  93 niter:548550  2871m 5s (- 135m 49s) completed: 95%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0440  acc: 0.5945  lr: 0.0000 
ep/it:1432- 143 niter:548600  2871m 19s (- 135m 33s) completed: 95%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0436  acc: 0.6033  lr: 0.0000 
ep/it:1432- 193 niter:548650  2871m 33s (- 135m 17s) completed: 95%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0433  acc: 0.6060  lr: 0.0000 
ep/it:1432- 243 niter:548700  2871m 47s (- 135m 1s) completed: 95%) loss_emb: 0.0000  loss: 1.3533  loss_TTT: 0.0438  acc: 0.6042  lr: 0.0000 
ep/it:1432- 293 niter:548750  2872m 1s (- 134m 46s) completed: 95%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0436  acc: 0.6030  lr: 0.0000 
ep/it:1432- 343 niter:548800  2872m 15s (- 134m 30s) completed: 95%) loss_emb: 0.0000  loss: 1.3475  loss_TTT: 0.0432  acc: 0.6060  lr: 0.0000 
Validation loss:1.561, accuracy:0.571
ep/it:1433-  10 niter:548850  2872m 32s (- 134m 14s) completed: 95%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0426  acc: 0.6081  lr: 0.0000 
ep/it:1433-  60 niter:548900  2872m 46s (- 133m 58s) completed: 95%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0440  acc: 0.6030  lr: 0.0000 
ep/it:1433- 110 niter:548950  2873m 1s (- 133m 43s) completed: 95%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0450  acc: 0.5998  lr: 0.0000 
ep/it:1433- 160 niter:549000  2873m 15s (- 133m 27s) completed: 95%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0418  acc: 0.6009  lr: 0.0000 
ep/it:1433- 210 niter:549050  2873m 30s (- 133m 11s) completed: 95%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0446  acc: 0.5946  lr: 0.0000 
ep/it:1433- 260 niter:549100  2873m 44s (- 132m 55s) completed: 95%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0432  acc: 0.6011  lr: 0.0000 
ep/it:1433- 310 niter:549150  2873m 59s (- 132m 40s) completed: 95%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0429  acc: 0.6073  lr: 0.0000 
ep/it:1433- 360 niter:549200  2874m 13s (- 132m 24s) completed: 95%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0434  acc: 0.6018  lr: 0.0000 
Validation loss:1.601, accuracy:0.560
ep/it:1434-  27 niter:549250  2874m 30s (- 132m 8s) completed: 95%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0435  acc: 0.6031  lr: 0.0000 
ep/it:1434-  77 niter:549300  2874m 44s (- 131m 52s) completed: 95%) loss_emb: 0.0000  loss: 1.3341  loss_TTT: 0.0430  acc: 0.6105  lr: 0.0000 
ep/it:1434- 127 niter:549350  2874m 58s (- 131m 37s) completed: 95%) loss_emb: 0.0000  loss: 1.3423  loss_TTT: 0.0449  acc: 0.6093  lr: 0.0000 
ep/it:1434- 177 niter:549400  2875m 12s (- 131m 21s) completed: 95%) loss_emb: 0.0000  loss: 1.3397  loss_TTT: 0.0436  acc: 0.6097  lr: 0.0000 
ep/it:1434- 227 niter:549450  2875m 27s (- 131m 5s) completed: 95%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0437  acc: 0.5984  lr: 0.0000 
ep/it:1434- 277 niter:549500  2875m 41s (- 130m 49s) completed: 95%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0447  acc: 0.6027  lr: 0.0000 
ep/it:1434- 327 niter:549550  2875m 55s (- 130m 34s) completed: 95%) loss_emb: 0.0000  loss: 1.3507  loss_TTT: 0.0439  acc: 0.6057  lr: 0.0000 
ep/it:1434- 377 niter:549600  2876m 9s (- 130m 18s) completed: 95%) loss_emb: 0.0000  loss: 1.3506  loss_TTT: 0.0433  acc: 0.6057  lr: 0.0000 
Validation loss:1.599, accuracy:0.559
ep/it:1435-  44 niter:549650  2876m 26s (- 130m 2s) completed: 95%) loss_emb: 0.0000  loss: 1.3741  loss_TTT: 0.0422  acc: 0.6001  lr: 0.0000 
ep/it:1435-  94 niter:549700  2876m 40s (- 129m 46s) completed: 95%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0421  acc: 0.6024  lr: 0.0000 
ep/it:1435- 144 niter:549750  2876m 54s (- 129m 31s) completed: 95%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0446  acc: 0.5959  lr: 0.0000 
ep/it:1435- 194 niter:549800  2877m 8s (- 129m 15s) completed: 95%) loss_emb: 0.0000  loss: 1.3439  loss_TTT: 0.0437  acc: 0.6093  lr: 0.0000 
ep/it:1435- 244 niter:549850  2877m 22s (- 128m 59s) completed: 95%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0441  acc: 0.6019  lr: 0.0000 
ep/it:1435- 294 niter:549900  2877m 36s (- 128m 43s) completed: 95%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0431  acc: 0.5963  lr: 0.0000 
ep/it:1435- 344 niter:549950  2877m 51s (- 128m 28s) completed: 95%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0449  acc: 0.6035  lr: 0.0000 
Validation loss:1.555, accuracy:0.573
ep/it:1436-  11 niter:550000  2878m 8s (- 128m 12s) completed: 95%) loss_emb: 0.0000  loss: 1.3375  loss_TTT: 0.0432  acc: 0.6095  lr: 0.0000 
ep/it:1436-  61 niter:550050  2878m 23s (- 127m 56s) completed: 95%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0438  acc: 0.5981  lr: 0.0000 
ep/it:1436- 111 niter:550100  2878m 37s (- 127m 40s) completed: 95%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0434  acc: 0.6002  lr: 0.0000 
ep/it:1436- 161 niter:550150  2878m 50s (- 127m 25s) completed: 95%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0441  acc: 0.6011  lr: 0.0000 
ep/it:1436- 211 niter:550200  2879m 5s (- 127m 9s) completed: 95%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0433  acc: 0.5957  lr: 0.0000 
ep/it:1436- 261 niter:550250  2879m 19s (- 126m 53s) completed: 95%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0453  acc: 0.5968  lr: 0.0000 
ep/it:1436- 311 niter:550300  2879m 33s (- 126m 37s) completed: 95%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0433  acc: 0.6057  lr: 0.0000 
ep/it:1436- 361 niter:550350  2879m 47s (- 126m 22s) completed: 95%) loss_emb: 0.0000  loss: 1.3486  loss_TTT: 0.0428  acc: 0.6061  lr: 0.0000 
Validation loss:1.587, accuracy:0.563
ep/it:1437-  28 niter:550400  2880m 3s (- 126m 6s) completed: 95%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0442  acc: 0.6002  lr: 0.0000 
ep/it:1437-  78 niter:550450  2880m 18s (- 125m 50s) completed: 95%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0426  acc: 0.5981  lr: 0.0000 
ep/it:1437- 128 niter:550500  2880m 31s (- 125m 34s) completed: 95%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0433  acc: 0.6061  lr: 0.0000 
ep/it:1437- 178 niter:550550  2880m 46s (- 125m 19s) completed: 95%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0451  acc: 0.6034  lr: 0.0000 
ep/it:1437- 228 niter:550600  2881m 0s (- 125m 3s) completed: 95%) loss_emb: 0.0000  loss: 1.3381  loss_TTT: 0.0425  acc: 0.6099  lr: 0.0000 
ep/it:1437- 278 niter:550650  2881m 14s (- 124m 47s) completed: 95%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0434  acc: 0.6013  lr: 0.0000 
ep/it:1437- 328 niter:550700  2881m 28s (- 124m 31s) completed: 95%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0451  acc: 0.6021  lr: 0.0000 
ep/it:1437- 378 niter:550750  2881m 42s (- 124m 16s) completed: 95%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0425  acc: 0.6074  lr: 0.0000 
Validation loss:1.569, accuracy:0.568
ep/it:1438-  45 niter:550800  2881m 59s (- 124m 0s) completed: 95%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0460  acc: 0.5965  lr: 0.0000 
ep/it:1438-  95 niter:550850  2882m 13s (- 123m 44s) completed: 95%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0441  acc: 0.5991  lr: 0.0000 
ep/it:1438- 145 niter:550900  2882m 27s (- 123m 28s) completed: 95%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0411  acc: 0.5994  lr: 0.0000 
ep/it:1438- 195 niter:550950  2882m 41s (- 123m 13s) completed: 95%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0425  acc: 0.6017  lr: 0.0000 
ep/it:1438- 245 niter:551000  2882m 55s (- 122m 57s) completed: 95%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0453  acc: 0.6029  lr: 0.0000 
ep/it:1438- 295 niter:551050  2883m 9s (- 122m 41s) completed: 95%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0432  acc: 0.6011  lr: 0.0000 
ep/it:1438- 345 niter:551100  2883m 23s (- 122m 25s) completed: 95%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0441  acc: 0.6075  lr: 0.0000 
Validation loss:1.579, accuracy:0.566
ep/it:1439-  12 niter:551150  2883m 40s (- 122m 10s) completed: 95%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0430  acc: 0.6023  lr: 0.0000 
ep/it:1439-  62 niter:551200  2883m 55s (- 121m 54s) completed: 95%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0430  acc: 0.6079  lr: 0.0000 
ep/it:1439- 112 niter:551250  2884m 9s (- 121m 38s) completed: 95%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0439  acc: 0.6054  lr: 0.0000 
ep/it:1439- 162 niter:551300  2884m 24s (- 121m 22s) completed: 95%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0435  acc: 0.6028  lr: 0.0000 
ep/it:1439- 212 niter:551350  2884m 38s (- 121m 7s) completed: 95%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0444  acc: 0.6014  lr: 0.0000 
ep/it:1439- 262 niter:551400  2884m 53s (- 120m 51s) completed: 95%) loss_emb: 0.0000  loss: 1.3553  loss_TTT: 0.0440  acc: 0.6059  lr: 0.0000 
ep/it:1439- 312 niter:551450  2885m 7s (- 120m 35s) completed: 95%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0431  acc: 0.6023  lr: 0.0000 
ep/it:1439- 362 niter:551500  2885m 21s (- 120m 19s) completed: 95%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0434  acc: 0.6010  lr: 0.0000 
Validation loss:1.585, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.83it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:19<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.014281729236245 avg: 39.014281729236245
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.78338433150202 avg: 38.89883303036913
--> 	 Eva. Repeat 0 :, FID. 0.0750, Diversity Real. 9.7367, Diversity. 9.4915, R_precision_real. [0.51757812 0.70019531 0.78710938], R_precision. [0.50683594 0.7109375  0.79882812], matching_score_real. 2.9637, matching_score_pred. 2.9646, skate_ratio. 0.0494, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0596 (traj_fail_50cm (Traj err)): 0.0029 (kps_fail_20cm): 0.0110 (kps_fail_50cm (Loc. err)): 0.0002 (kps_mean_err(m) (Avg. err)): 0.0272 
ep/it:1440-  29 niter:551550  2886m 59s (- 120m 7s) completed: 96%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0437  acc: 0.6006  lr: 0.0000 
ep/it:1440-  79 niter:551600  2887m 13s (- 119m 51s) completed: 96%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0436  acc: 0.5981  lr: 0.0000 
ep/it:1440- 129 niter:551650  2887m 28s (- 119m 36s) completed: 96%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0432  acc: 0.6039  lr: 0.0000 
ep/it:1440- 179 niter:551700  2887m 42s (- 119m 20s) completed: 96%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0428  acc: 0.6062  lr: 0.0000 
ep/it:1440- 229 niter:551750  2887m 57s (- 119m 4s) completed: 96%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0431  acc: 0.6035  lr: 0.0000 
ep/it:1440- 279 niter:551800  2888m 12s (- 118m 48s) completed: 96%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0444  acc: 0.5949  lr: 0.0000 
ep/it:1440- 329 niter:551850  2888m 26s (- 118m 33s) completed: 96%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0432  acc: 0.6042  lr: 0.0000 
ep/it:1440- 379 niter:551900  2888m 41s (- 118m 17s) completed: 96%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0434  acc: 0.6071  lr: 0.0000 
Validation loss:1.556, accuracy:0.574
ep/it:1441-  46 niter:551950  2888m 58s (- 118m 1s) completed: 96%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0448  acc: 0.5969  lr: 0.0000 
ep/it:1441-  96 niter:552000  2889m 12s (- 117m 46s) completed: 96%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0425  acc: 0.6113  lr: 0.0000 
ep/it:1441- 146 niter:552050  2889m 27s (- 117m 30s) completed: 96%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0432  acc: 0.5990  lr: 0.0000 
ep/it:1441- 196 niter:552100  2889m 41s (- 117m 14s) completed: 96%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0455  acc: 0.5995  lr: 0.0000 
ep/it:1441- 246 niter:552150  2889m 55s (- 116m 58s) completed: 96%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0436  acc: 0.6101  lr: 0.0000 
ep/it:1441- 296 niter:552200  2890m 9s (- 116m 42s) completed: 96%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0442  acc: 0.6007  lr: 0.0000 
ep/it:1441- 346 niter:552250  2890m 24s (- 116m 27s) completed: 96%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0441  acc: 0.6049  lr: 0.0000 
Validation loss:1.574, accuracy:0.566
ep/it:1442-  13 niter:552300  2890m 41s (- 116m 11s) completed: 96%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0442  acc: 0.5978  lr: 0.0000 
ep/it:1442-  63 niter:552350  2890m 55s (- 115m 55s) completed: 96%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0452  acc: 0.6007  lr: 0.0000 
ep/it:1442- 113 niter:552400  2891m 10s (- 115m 40s) completed: 96%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0428  acc: 0.6013  lr: 0.0000 
ep/it:1442- 163 niter:552450  2891m 24s (- 115m 24s) completed: 96%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0433  acc: 0.5987  lr: 0.0000 
ep/it:1442- 213 niter:552500  2891m 39s (- 115m 8s) completed: 96%) loss_emb: 0.0000  loss: 1.3451  loss_TTT: 0.0427  acc: 0.6079  lr: 0.0000 
ep/it:1442- 263 niter:552550  2891m 53s (- 114m 52s) completed: 96%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0443  acc: 0.6073  lr: 0.0000 
ep/it:1442- 313 niter:552600  2892m 8s (- 114m 37s) completed: 96%) loss_emb: 0.0000  loss: 1.3307  loss_TTT: 0.0425  acc: 0.6097  lr: 0.0000 
ep/it:1442- 363 niter:552650  2892m 23s (- 114m 21s) completed: 96%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0440  acc: 0.6035  lr: 0.0000 
Validation loss:1.566, accuracy:0.570
ep/it:1443-  30 niter:552700  2892m 40s (- 114m 5s) completed: 96%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0439  acc: 0.5997  lr: 0.0000 
ep/it:1443-  80 niter:552750  2892m 54s (- 113m 49s) completed: 96%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0434  acc: 0.6011  lr: 0.0000 
ep/it:1443- 130 niter:552800  2893m 9s (- 113m 34s) completed: 96%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0441  acc: 0.5956  lr: 0.0000 
ep/it:1443- 180 niter:552850  2893m 23s (- 113m 18s) completed: 96%) loss_emb: 0.0000  loss: 1.3446  loss_TTT: 0.0446  acc: 0.6066  lr: 0.0000 
ep/it:1443- 230 niter:552900  2893m 38s (- 113m 2s) completed: 96%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0421  acc: 0.6047  lr: 0.0000 
ep/it:1443- 280 niter:552950  2893m 52s (- 112m 46s) completed: 96%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0422  acc: 0.6077  lr: 0.0000 
ep/it:1443- 330 niter:553000  2894m 6s (- 112m 31s) completed: 96%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0448  acc: 0.6021  lr: 0.0000 
ep/it:1443- 380 niter:553050  2894m 21s (- 112m 15s) completed: 96%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0452  acc: 0.6055  lr: 0.0000 
Validation loss:1.558, accuracy:0.571
ep/it:1444-  47 niter:553100  2894m 38s (- 111m 59s) completed: 96%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0441  acc: 0.6037  lr: 0.0000 
ep/it:1444-  97 niter:553150  2894m 52s (- 111m 44s) completed: 96%) loss_emb: 0.0000  loss: 1.3442  loss_TTT: 0.0423  acc: 0.6076  lr: 0.0000 
ep/it:1444- 147 niter:553200  2895m 7s (- 111m 28s) completed: 96%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0445  acc: 0.5962  lr: 0.0000 
ep/it:1444- 197 niter:553250  2895m 21s (- 111m 12s) completed: 96%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0434  acc: 0.5982  lr: 0.0000 
ep/it:1444- 247 niter:553300  2895m 36s (- 110m 56s) completed: 96%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0442  acc: 0.6066  lr: 0.0000 
ep/it:1444- 297 niter:553350  2895m 50s (- 110m 41s) completed: 96%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0432  acc: 0.6053  lr: 0.0000 
ep/it:1444- 347 niter:553400  2896m 5s (- 110m 25s) completed: 96%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0437  acc: 0.5993  lr: 0.0000 
Validation loss:1.583, accuracy:0.563
ep/it:1445-  14 niter:553450  2896m 22s (- 110m 9s) completed: 96%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0452  acc: 0.6051  lr: 0.0000 
ep/it:1445-  64 niter:553500  2896m 36s (- 109m 53s) completed: 96%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0429  acc: 0.6012  lr: 0.0000 
ep/it:1445- 114 niter:553550  2896m 51s (- 109m 38s) completed: 96%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0447  acc: 0.6022  lr: 0.0000 
ep/it:1445- 164 niter:553600  2897m 5s (- 109m 22s) completed: 96%) loss_emb: 0.0000  loss: 1.3515  loss_TTT: 0.0432  acc: 0.6061  lr: 0.0000 
ep/it:1445- 214 niter:553650  2897m 19s (- 109m 6s) completed: 96%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0433  acc: 0.6049  lr: 0.0000 
ep/it:1445- 264 niter:553700  2897m 34s (- 108m 50s) completed: 96%) loss_emb: 0.0000  loss: 1.3442  loss_TTT: 0.0446  acc: 0.6067  lr: 0.0000 
ep/it:1445- 314 niter:553750  2897m 48s (- 108m 35s) completed: 96%) loss_emb: 0.0000  loss: 1.3584  loss_TTT: 0.0435  acc: 0.6029  lr: 0.0000 
ep/it:1445- 364 niter:553800  2898m 2s (- 108m 19s) completed: 96%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0439  acc: 0.5991  lr: 0.0000 
Validation loss:1.561, accuracy:0.571
ep/it:1446-  31 niter:553850  2898m 19s (- 108m 3s) completed: 96%) loss_emb: 0.0000  loss: 1.3584  loss_TTT: 0.0426  acc: 0.6041  lr: 0.0000 
ep/it:1446-  81 niter:553900  2898m 33s (- 107m 47s) completed: 96%) loss_emb: 0.0000  loss: 1.3457  loss_TTT: 0.0433  acc: 0.6083  lr: 0.0000 
ep/it:1446- 131 niter:553950  2898m 48s (- 107m 32s) completed: 96%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0446  acc: 0.5987  lr: 0.0000 
ep/it:1446- 181 niter:554000  2899m 2s (- 107m 16s) completed: 96%) loss_emb: 0.0000  loss: 1.3436  loss_TTT: 0.0425  acc: 0.6074  lr: 0.0000 
ep/it:1446- 231 niter:554050  2899m 17s (- 107m 0s) completed: 96%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0422  acc: 0.6109  lr: 0.0000 
ep/it:1446- 281 niter:554100  2899m 31s (- 106m 45s) completed: 96%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0429  acc: 0.5991  lr: 0.0000 
ep/it:1446- 331 niter:554150  2899m 45s (- 106m 29s) completed: 96%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0433  acc: 0.6058  lr: 0.0000 
ep/it:1446- 381 niter:554200  2899m 59s (- 106m 13s) completed: 96%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0441  acc: 0.5988  lr: 0.0000 
Validation loss:1.563, accuracy:0.568
ep/it:1447-  48 niter:554250  2900m 16s (- 105m 57s) completed: 96%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0442  acc: 0.5998  lr: 0.0000 
ep/it:1447-  98 niter:554300  2900m 30s (- 105m 42s) completed: 96%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0444  acc: 0.5998  lr: 0.0000 
ep/it:1447- 148 niter:554350  2900m 44s (- 105m 26s) completed: 96%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0427  acc: 0.6048  lr: 0.0000 
ep/it:1447- 198 niter:554400  2900m 58s (- 105m 10s) completed: 96%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0431  acc: 0.6019  lr: 0.0000 
ep/it:1447- 248 niter:554450  2901m 12s (- 104m 54s) completed: 96%) loss_emb: 0.0000  loss: 1.3468  loss_TTT: 0.0433  acc: 0.6070  lr: 0.0000 
ep/it:1447- 298 niter:554500  2901m 27s (- 104m 39s) completed: 96%) loss_emb: 0.0000  loss: 1.3462  loss_TTT: 0.0434  acc: 0.6066  lr: 0.0000 
ep/it:1447- 348 niter:554550  2901m 42s (- 104m 23s) completed: 96%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0438  acc: 0.5994  lr: 0.0000 
Validation loss:1.556, accuracy:0.573
ep/it:1448-  15 niter:554600  2901m 58s (- 104m 7s) completed: 96%) loss_emb: 0.0000  loss: 1.3244  loss_TTT: 0.0441  acc: 0.6146  lr: 0.0000 
ep/it:1448-  65 niter:554650  2902m 13s (- 103m 51s) completed: 96%) loss_emb: 0.0000  loss: 1.3491  loss_TTT: 0.0450  acc: 0.6065  lr: 0.0000 
ep/it:1448- 115 niter:554700  2902m 27s (- 103m 36s) completed: 96%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0438  acc: 0.6091  lr: 0.0000 
ep/it:1448- 165 niter:554750  2902m 41s (- 103m 20s) completed: 96%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0444  acc: 0.6053  lr: 0.0000 
ep/it:1448- 215 niter:554800  2902m 55s (- 103m 4s) completed: 96%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0442  acc: 0.5989  lr: 0.0000 
ep/it:1448- 265 niter:554850  2903m 9s (- 102m 48s) completed: 96%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0413  acc: 0.6013  lr: 0.0000 
ep/it:1448- 315 niter:554900  2903m 23s (- 102m 33s) completed: 96%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0425  acc: 0.5978  lr: 0.0000 
ep/it:1448- 365 niter:554950  2903m 37s (- 102m 17s) completed: 96%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0434  acc: 0.6049  lr: 0.0000 
Validation loss:1.583, accuracy:0.564
ep/it:1449-  32 niter:555000  2903m 54s (- 102m 1s) completed: 96%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0442  acc: 0.6014  lr: 0.0000 
ep/it:1449-  82 niter:555050  2904m 9s (- 101m 46s) completed: 96%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0443  acc: 0.6030  lr: 0.0000 
ep/it:1449- 132 niter:555100  2904m 23s (- 101m 30s) completed: 96%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0421  acc: 0.6016  lr: 0.0000 
ep/it:1449- 182 niter:555150  2904m 37s (- 101m 14s) completed: 96%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0425  acc: 0.6017  lr: 0.0000 
ep/it:1449- 232 niter:555200  2904m 51s (- 100m 58s) completed: 96%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0444  acc: 0.5986  lr: 0.0000 
ep/it:1449- 282 niter:555250  2905m 5s (- 100m 43s) completed: 96%) loss_emb: 0.0000  loss: 1.3264  loss_TTT: 0.0435  acc: 0.6126  lr: 0.0000 
ep/it:1449- 332 niter:555300  2905m 19s (- 100m 27s) completed: 96%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0432  acc: 0.6010  lr: 0.0000 
ep/it:1449- 382 niter:555350  2905m 34s (- 100m 11s) completed: 96%) loss_emb: 0.0000  loss: 1.3402  loss_TTT: 0.0429  acc: 0.6077  lr: 0.0000 
Validation loss:1.585, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.84it/s]
 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:36,  2.46s/it]
100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.64385198429227 avg: 38.64385198429227
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.827516806311905 avg: 38.73568439530209
--> 	 Eva. Repeat 0 :, FID. 0.0976, Diversity Real. 9.3976, Diversity. 9.5567, R_precision_real. [0.50488281 0.70019531 0.78515625], R_precision. [0.49316406 0.68945312 0.79101562], matching_score_real. 2.9508, matching_score_pred. 2.9485, skate_ratio. 0.0489, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0449 (traj_fail_50cm (Traj err)): 0.0059 (kps_fail_20cm): 0.0058 (kps_fail_50cm (Loc. err)): 0.0022 (kps_mean_err(m) (Avg. err)): 0.0265 
ep/it:1450-  49 niter:555400  2907m 9s (- 99m 58s) completed: 96%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0440  acc: 0.6070  lr: 0.0000 
ep/it:1450-  99 niter:555450  2907m 24s (- 99m 42s) completed: 96%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0428  acc: 0.6009  lr: 0.0000 
ep/it:1450- 149 niter:555500  2907m 38s (- 99m 27s) completed: 96%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0443  acc: 0.6008  lr: 0.0000 
ep/it:1450- 199 niter:555550  2907m 53s (- 99m 11s) completed: 96%) loss_emb: 0.0000  loss: 1.3397  loss_TTT: 0.0430  acc: 0.6094  lr: 0.0000 
ep/it:1450- 249 niter:555600  2908m 7s (- 98m 55s) completed: 96%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0441  acc: 0.5984  lr: 0.0000 
ep/it:1450- 299 niter:555650  2908m 21s (- 98m 39s) completed: 96%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0423  acc: 0.6013  lr: 0.0000 
ep/it:1450- 349 niter:555700  2908m 35s (- 98m 24s) completed: 96%) loss_emb: 0.0000  loss: 1.3534  loss_TTT: 0.0444  acc: 0.6051  lr: 0.0000 
Validation loss:1.533, accuracy:0.578
ep/it:1451-  16 niter:555750  2908m 52s (- 98m 8s) completed: 96%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0428  acc: 0.5962  lr: 0.0000 
ep/it:1451-  66 niter:555800  2909m 7s (- 97m 52s) completed: 96%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0436  acc: 0.5993  lr: 0.0000 
ep/it:1451- 116 niter:555850  2909m 22s (- 97m 36s) completed: 96%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0443  acc: 0.6018  lr: 0.0000 
ep/it:1451- 166 niter:555900  2909m 36s (- 97m 21s) completed: 96%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0443  acc: 0.6038  lr: 0.0000 
ep/it:1451- 216 niter:555950  2909m 51s (- 97m 5s) completed: 96%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0435  acc: 0.5971  lr: 0.0000 
ep/it:1451- 266 niter:556000  2910m 5s (- 96m 49s) completed: 96%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0432  acc: 0.6016  lr: 0.0000 
ep/it:1451- 316 niter:556050  2910m 20s (- 96m 33s) completed: 96%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0443  acc: 0.6026  lr: 0.0000 
ep/it:1451- 366 niter:556100  2910m 35s (- 96m 18s) completed: 96%) loss_emb: 0.0000  loss: 1.3386  loss_TTT: 0.0437  acc: 0.6092  lr: 0.0000 
Validation loss:1.582, accuracy:0.564
ep/it:1452-  33 niter:556150  2910m 52s (- 96m 2s) completed: 96%) loss_emb: 0.0000  loss: 1.3375  loss_TTT: 0.0424  acc: 0.6098  lr: 0.0000 
ep/it:1452-  83 niter:556200  2911m 6s (- 95m 46s) completed: 96%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0439  acc: 0.5991  lr: 0.0000 
ep/it:1452- 133 niter:556250  2911m 20s (- 95m 31s) completed: 96%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0445  acc: 0.5978  lr: 0.0000 
ep/it:1452- 183 niter:556300  2911m 35s (- 95m 15s) completed: 96%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0434  acc: 0.6008  lr: 0.0000 
ep/it:1452- 233 niter:556350  2911m 49s (- 94m 59s) completed: 96%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0458  acc: 0.6045  lr: 0.0000 
ep/it:1452- 283 niter:556400  2912m 4s (- 94m 43s) completed: 96%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0430  acc: 0.6081  lr: 0.0000 
ep/it:1452- 333 niter:556450  2912m 18s (- 94m 28s) completed: 96%) loss_emb: 0.0000  loss: 1.3567  loss_TTT: 0.0432  acc: 0.6026  lr: 0.0000 
Validation loss:1.598, accuracy:0.562
ep/it:1453-   0 niter:556500  2912m 35s (- 94m 12s) completed: 96%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0429  acc: 0.5964  lr: 0.0000 
ep/it:1453-  50 niter:556550  2912m 49s (- 93m 56s) completed: 96%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0453  acc: 0.5973  lr: 0.0000 
ep/it:1453- 100 niter:556600  2913m 3s (- 93m 40s) completed: 96%) loss_emb: 0.0000  loss: 1.3363  loss_TTT: 0.0438  acc: 0.6104  lr: 0.0000 
ep/it:1453- 150 niter:556650  2913m 17s (- 93m 25s) completed: 96%) loss_emb: 0.0000  loss: 1.3448  loss_TTT: 0.0434  acc: 0.6079  lr: 0.0000 
ep/it:1453- 200 niter:556700  2913m 32s (- 93m 9s) completed: 96%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0412  acc: 0.6024  lr: 0.0000 
ep/it:1453- 250 niter:556750  2913m 47s (- 92m 53s) completed: 96%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0453  acc: 0.6006  lr: 0.0000 
ep/it:1453- 300 niter:556800  2914m 1s (- 92m 38s) completed: 96%) loss_emb: 0.0000  loss: 1.3465  loss_TTT: 0.0433  acc: 0.6067  lr: 0.0000 
ep/it:1453- 350 niter:556850  2914m 16s (- 92m 22s) completed: 96%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0416  acc: 0.6022  lr: 0.0000 
Validation loss:1.596, accuracy:0.563
ep/it:1454-  17 niter:556900  2914m 33s (- 92m 6s) completed: 96%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0442  acc: 0.6018  lr: 0.0000 
ep/it:1454-  67 niter:556950  2914m 47s (- 91m 50s) completed: 96%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0438  acc: 0.6050  lr: 0.0000 
ep/it:1454- 117 niter:557000  2915m 1s (- 91m 35s) completed: 96%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0455  acc: 0.5987  lr: 0.0000 
ep/it:1454- 167 niter:557050  2915m 16s (- 91m 19s) completed: 96%) loss_emb: 0.0000  loss: 1.3579  loss_TTT: 0.0453  acc: 0.6045  lr: 0.0000 
ep/it:1454- 217 niter:557100  2915m 31s (- 91m 3s) completed: 96%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0436  acc: 0.6016  lr: 0.0000 
ep/it:1454- 267 niter:557150  2915m 45s (- 90m 47s) completed: 96%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0449  acc: 0.5955  lr: 0.0000 
ep/it:1454- 317 niter:557200  2915m 59s (- 90m 32s) completed: 96%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0434  acc: 0.6004  lr: 0.0000 
ep/it:1454- 367 niter:557250  2916m 13s (- 90m 16s) completed: 96%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0436  acc: 0.6033  lr: 0.0000 
Validation loss:1.563, accuracy:0.571
ep/it:1455-  34 niter:557300  2916m 29s (- 90m 0s) completed: 97%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0435  acc: 0.6037  lr: 0.0000 
ep/it:1455-  84 niter:557350  2916m 44s (- 89m 44s) completed: 97%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0454  acc: 0.6059  lr: 0.0000 
ep/it:1455- 134 niter:557400  2916m 58s (- 89m 29s) completed: 97%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0432  acc: 0.6004  lr: 0.0000 
ep/it:1455- 184 niter:557450  2917m 12s (- 89m 13s) completed: 97%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0437  acc: 0.6034  lr: 0.0000 
ep/it:1455- 234 niter:557500  2917m 27s (- 88m 57s) completed: 97%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0434  acc: 0.6036  lr: 0.0000 
ep/it:1455- 284 niter:557550  2917m 41s (- 88m 42s) completed: 97%) loss_emb: 0.0000  loss: 1.3558  loss_TTT: 0.0423  acc: 0.6034  lr: 0.0000 
ep/it:1455- 334 niter:557600  2917m 55s (- 88m 26s) completed: 97%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0427  acc: 0.6046  lr: 0.0000 
Validation loss:1.582, accuracy:0.565
ep/it:1456-   1 niter:557650  2918m 12s (- 88m 10s) completed: 97%) loss_emb: 0.0000  loss: 1.3620  loss_TTT: 0.0431  acc: 0.6025  lr: 0.0000 
ep/it:1456-  51 niter:557700  2918m 26s (- 87m 54s) completed: 97%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0431  acc: 0.5996  lr: 0.0000 
ep/it:1456- 101 niter:557750  2918m 41s (- 87m 39s) completed: 97%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0426  acc: 0.6032  lr: 0.0000 
ep/it:1456- 151 niter:557800  2918m 54s (- 87m 23s) completed: 97%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0432  acc: 0.6047  lr: 0.0000 
ep/it:1456- 201 niter:557850  2919m 9s (- 87m 7s) completed: 97%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0436  acc: 0.5985  lr: 0.0000 
ep/it:1456- 251 niter:557900  2919m 23s (- 86m 51s) completed: 97%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0442  acc: 0.5987  lr: 0.0000 
ep/it:1456- 301 niter:557950  2919m 36s (- 86m 36s) completed: 97%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0443  acc: 0.5993  lr: 0.0000 
ep/it:1456- 351 niter:558000  2919m 50s (- 86m 20s) completed: 97%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0436  acc: 0.6025  lr: 0.0000 
Validation loss:1.556, accuracy:0.571
ep/it:1457-  18 niter:558050  2920m 7s (- 86m 4s) completed: 97%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0452  acc: 0.6017  lr: 0.0000 
ep/it:1457-  68 niter:558100  2920m 22s (- 85m 48s) completed: 97%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0452  acc: 0.6010  lr: 0.0000 
ep/it:1457- 118 niter:558150  2920m 36s (- 85m 33s) completed: 97%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0420  acc: 0.5999  lr: 0.0000 
ep/it:1457- 168 niter:558200  2920m 51s (- 85m 17s) completed: 97%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0435  acc: 0.6069  lr: 0.0000 
ep/it:1457- 218 niter:558250  2921m 5s (- 85m 1s) completed: 97%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0439  acc: 0.6050  lr: 0.0000 
ep/it:1457- 268 niter:558300  2921m 19s (- 84m 46s) completed: 97%) loss_emb: 0.0000  loss: 1.3495  loss_TTT: 0.0436  acc: 0.6062  lr: 0.0000 
ep/it:1457- 318 niter:558350  2921m 34s (- 84m 30s) completed: 97%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0442  acc: 0.6015  lr: 0.0000 
ep/it:1457- 368 niter:558400  2921m 47s (- 84m 14s) completed: 97%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0435  acc: 0.6005  lr: 0.0000 
Validation loss:1.544, accuracy:0.573
ep/it:1458-  35 niter:558450  2922m 5s (- 83m 58s) completed: 97%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0441  acc: 0.5953  lr: 0.0000 
ep/it:1458-  85 niter:558500  2922m 19s (- 83m 43s) completed: 97%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0441  acc: 0.6047  lr: 0.0000 
ep/it:1458- 135 niter:558550  2922m 33s (- 83m 27s) completed: 97%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0434  acc: 0.5982  lr: 0.0000 
ep/it:1458- 185 niter:558600  2922m 47s (- 83m 11s) completed: 97%) loss_emb: 0.0000  loss: 1.3542  loss_TTT: 0.0435  acc: 0.6059  lr: 0.0000 
ep/it:1458- 235 niter:558650  2923m 1s (- 82m 55s) completed: 97%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0452  acc: 0.6015  lr: 0.0000 
ep/it:1458- 285 niter:558700  2923m 16s (- 82m 40s) completed: 97%) loss_emb: 0.0000  loss: 1.3398  loss_TTT: 0.0432  acc: 0.6090  lr: 0.0000 
ep/it:1458- 335 niter:558750  2923m 30s (- 82m 24s) completed: 97%) loss_emb: 0.0000  loss: 1.3793  loss_TTT: 0.0446  acc: 0.5982  lr: 0.0000 
Validation loss:1.621, accuracy:0.555
ep/it:1459-   2 niter:558800  2923m 47s (- 82m 8s) completed: 97%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0443  acc: 0.5956  lr: 0.0000 
ep/it:1459-  52 niter:558850  2924m 1s (- 81m 53s) completed: 97%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0430  acc: 0.6021  lr: 0.0000 
ep/it:1459- 102 niter:558900  2924m 15s (- 81m 37s) completed: 97%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0434  acc: 0.5989  lr: 0.0000 
ep/it:1459- 152 niter:558950  2924m 29s (- 81m 21s) completed: 97%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0442  acc: 0.6020  lr: 0.0000 
ep/it:1459- 202 niter:559000  2924m 43s (- 81m 5s) completed: 97%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0430  acc: 0.6016  lr: 0.0000 
ep/it:1459- 252 niter:559050  2924m 57s (- 80m 50s) completed: 97%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0433  acc: 0.6050  lr: 0.0000 
ep/it:1459- 302 niter:559100  2925m 12s (- 80m 34s) completed: 97%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0432  acc: 0.6066  lr: 0.0000 
ep/it:1459- 352 niter:559150  2925m 27s (- 80m 18s) completed: 97%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0440  acc: 0.6039  lr: 0.0000 
Validation loss:1.575, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.78it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.54s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.306154194287956 avg: 39.306154194287956
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.51374277472496 avg: 38.90994848450646
--> 	 Eva. Repeat 0 :, FID. 0.0689, Diversity Real. 9.2526, Diversity. 9.4840, R_precision_real. [0.53710938 0.71484375 0.82128906], R_precision. [0.50488281 0.69628906 0.81347656], matching_score_real. 2.8369, matching_score_pred. 2.9083, skate_ratio. 0.0489, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0381 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0082 (kps_fail_50cm (Loc. err)): 0.0017 (kps_mean_err(m) (Avg. err)): 0.0260 
ep/it:1460-  19 niter:559200  2927m 3s (- 80m 5s) completed: 97%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0435  acc: 0.6058  lr: 0.0000 
ep/it:1460-  69 niter:559250  2927m 18s (- 79m 49s) completed: 97%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0449  acc: 0.5967  lr: 0.0000 
ep/it:1460- 119 niter:559300  2927m 32s (- 79m 33s) completed: 97%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0435  acc: 0.6054  lr: 0.0000 
ep/it:1460- 169 niter:559350  2927m 46s (- 79m 17s) completed: 97%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0431  acc: 0.5978  lr: 0.0000 
ep/it:1460- 219 niter:559400  2928m 0s (- 79m 2s) completed: 97%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0443  acc: 0.6029  lr: 0.0000 
ep/it:1460- 269 niter:559450  2928m 14s (- 78m 46s) completed: 97%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0434  acc: 0.5997  lr: 0.0000 
ep/it:1460- 319 niter:559500  2928m 28s (- 78m 30s) completed: 97%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0448  acc: 0.6041  lr: 0.0000 
ep/it:1460- 369 niter:559550  2928m 43s (- 78m 14s) completed: 97%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0436  acc: 0.5998  lr: 0.0000 
Validation loss:1.545, accuracy:0.575
ep/it:1461-  36 niter:559600  2929m 0s (- 77m 59s) completed: 97%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0437  acc: 0.6068  lr: 0.0000 
ep/it:1461-  86 niter:559650  2929m 14s (- 77m 43s) completed: 97%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0444  acc: 0.6046  lr: 0.0000 
ep/it:1461- 136 niter:559700  2929m 28s (- 77m 27s) completed: 97%) loss_emb: 0.0000  loss: 1.3377  loss_TTT: 0.0421  acc: 0.6105  lr: 0.0000 
ep/it:1461- 186 niter:559750  2929m 42s (- 77m 12s) completed: 97%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0431  acc: 0.6017  lr: 0.0000 
ep/it:1461- 236 niter:559800  2929m 56s (- 76m 56s) completed: 97%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0453  acc: 0.5960  lr: 0.0000 
ep/it:1461- 286 niter:559850  2930m 10s (- 76m 40s) completed: 97%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0442  acc: 0.5971  lr: 0.0000 
ep/it:1461- 336 niter:559900  2930m 24s (- 76m 24s) completed: 97%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0451  acc: 0.6058  lr: 0.0000 
Validation loss:1.598, accuracy:0.561
ep/it:1462-   3 niter:559950  2930m 41s (- 76m 9s) completed: 97%) loss_emb: 0.0000  loss: 1.3337  loss_TTT: 0.0435  acc: 0.6103  lr: 0.0000 
ep/it:1462-  53 niter:560000  2930m 55s (- 75m 53s) completed: 97%) loss_emb: 0.0000  loss: 1.3345  loss_TTT: 0.0431  acc: 0.6093  lr: 0.0000 
ep/it:1462- 103 niter:560050  2931m 9s (- 75m 37s) completed: 97%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0432  acc: 0.5977  lr: 0.0000 
ep/it:1462- 153 niter:560100  2931m 24s (- 75m 21s) completed: 97%) loss_emb: 0.0000  loss: 1.3297  loss_TTT: 0.0427  acc: 0.6109  lr: 0.0000 
ep/it:1462- 203 niter:560150  2931m 37s (- 75m 6s) completed: 97%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0450  acc: 0.6039  lr: 0.0000 
ep/it:1462- 253 niter:560200  2931m 52s (- 74m 50s) completed: 97%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0435  acc: 0.6029  lr: 0.0000 
ep/it:1462- 303 niter:560250  2932m 6s (- 74m 34s) completed: 97%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0430  acc: 0.6088  lr: 0.0000 
ep/it:1462- 353 niter:560300  2932m 20s (- 74m 18s) completed: 97%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0429  acc: 0.6052  lr: 0.0000 
Validation loss:1.562, accuracy:0.570
ep/it:1463-  20 niter:560350  2932m 37s (- 74m 3s) completed: 97%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0431  acc: 0.6026  lr: 0.0000 
ep/it:1463-  70 niter:560400  2932m 51s (- 73m 47s) completed: 97%) loss_emb: 0.0000  loss: 1.3417  loss_TTT: 0.0425  acc: 0.6092  lr: 0.0000 
ep/it:1463- 120 niter:560450  2933m 6s (- 73m 31s) completed: 97%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0428  acc: 0.6029  lr: 0.0000 
ep/it:1463- 170 niter:560500  2933m 20s (- 73m 16s) completed: 97%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0444  acc: 0.5998  lr: 0.0000 
ep/it:1463- 220 niter:560550  2933m 35s (- 73m 0s) completed: 97%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0422  acc: 0.6046  lr: 0.0000 
ep/it:1463- 270 niter:560600  2933m 49s (- 72m 44s) completed: 97%) loss_emb: 0.0000  loss: 1.3346  loss_TTT: 0.0429  acc: 0.6098  lr: 0.0000 
ep/it:1463- 320 niter:560650  2934m 3s (- 72m 28s) completed: 97%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0416  acc: 0.6003  lr: 0.0000 
ep/it:1463- 370 niter:560700  2934m 18s (- 72m 13s) completed: 97%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0439  acc: 0.5974  lr: 0.0000 
Validation loss:1.565, accuracy:0.567
ep/it:1464-  37 niter:560750  2934m 34s (- 71m 57s) completed: 97%) loss_emb: 0.0000  loss: 1.3301  loss_TTT: 0.0435  acc: 0.6127  lr: 0.0000 
ep/it:1464-  87 niter:560800  2934m 49s (- 71m 41s) completed: 97%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0433  acc: 0.5998  lr: 0.0000 
ep/it:1464- 137 niter:560850  2935m 4s (- 71m 26s) completed: 97%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0428  acc: 0.6010  lr: 0.0000 
ep/it:1464- 187 niter:560900  2935m 18s (- 71m 10s) completed: 97%) loss_emb: 0.0000  loss: 1.3216  loss_TTT: 0.0433  acc: 0.6123  lr: 0.0000 
ep/it:1464- 237 niter:560950  2935m 33s (- 70m 54s) completed: 97%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0431  acc: 0.6034  lr: 0.0000 
ep/it:1464- 287 niter:561000  2935m 47s (- 70m 38s) completed: 97%) loss_emb: 0.0000  loss: 1.3471  loss_TTT: 0.0424  acc: 0.6064  lr: 0.0000 
ep/it:1464- 337 niter:561050  2936m 2s (- 70m 23s) completed: 97%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0446  acc: 0.6029  lr: 0.0000 
Validation loss:1.557, accuracy:0.571
ep/it:1465-   4 niter:561100  2936m 19s (- 70m 7s) completed: 97%) loss_emb: 0.0000  loss: 1.3254  loss_TTT: 0.0422  acc: 0.6122  lr: 0.0000 
ep/it:1465-  54 niter:561150  2936m 34s (- 69m 51s) completed: 97%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0429  acc: 0.6042  lr: 0.0000 
ep/it:1465- 104 niter:561200  2936m 48s (- 69m 35s) completed: 97%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0444  acc: 0.5962  lr: 0.0000 
ep/it:1465- 154 niter:561250  2937m 2s (- 69m 20s) completed: 97%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0433  acc: 0.6007  lr: 0.0000 
ep/it:1465- 204 niter:561300  2937m 16s (- 69m 4s) completed: 97%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0436  acc: 0.6046  lr: 0.0000 
ep/it:1465- 254 niter:561350  2937m 30s (- 68m 48s) completed: 97%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0428  acc: 0.6016  lr: 0.0000 
ep/it:1465- 304 niter:561400  2937m 45s (- 68m 33s) completed: 97%) loss_emb: 0.0000  loss: 1.3511  loss_TTT: 0.0432  acc: 0.6053  lr: 0.0000 
ep/it:1465- 354 niter:561450  2937m 59s (- 68m 17s) completed: 97%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0438  acc: 0.5968  lr: 0.0000 
Validation loss:1.494, accuracy:0.586
ep/it:1466-  21 niter:561500  2938m 17s (- 68m 1s) completed: 97%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0441  acc: 0.5993  lr: 0.0000 
ep/it:1466-  71 niter:561550  2938m 31s (- 67m 45s) completed: 97%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0441  acc: 0.5935  lr: 0.0000 
ep/it:1466- 121 niter:561600  2938m 45s (- 67m 30s) completed: 97%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0422  acc: 0.6061  lr: 0.0000 
ep/it:1466- 171 niter:561650  2939m 0s (- 67m 14s) completed: 97%) loss_emb: 0.0000  loss: 1.3523  loss_TTT: 0.0446  acc: 0.6043  lr: 0.0000 
ep/it:1466- 221 niter:561700  2939m 14s (- 66m 58s) completed: 97%) loss_emb: 0.0000  loss: 1.3765  loss_TTT: 0.0438  acc: 0.5988  lr: 0.0000 
ep/it:1466- 271 niter:561750  2939m 29s (- 66m 43s) completed: 97%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0438  acc: 0.6066  lr: 0.0000 
ep/it:1466- 321 niter:561800  2939m 44s (- 66m 27s) completed: 97%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0433  acc: 0.5956  lr: 0.0000 
ep/it:1466- 371 niter:561850  2939m 58s (- 66m 11s) completed: 97%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0443  acc: 0.6033  lr: 0.0000 
Validation loss:1.567, accuracy:0.567
ep/it:1467-  38 niter:561900  2940m 15s (- 65m 55s) completed: 97%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0439  acc: 0.5990  lr: 0.0000 
ep/it:1467-  88 niter:561950  2940m 29s (- 65m 40s) completed: 97%) loss_emb: 0.0000  loss: 1.3369  loss_TTT: 0.0429  acc: 0.6095  lr: 0.0000 
ep/it:1467- 138 niter:562000  2940m 43s (- 65m 24s) completed: 97%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0441  acc: 0.6030  lr: 0.0000 
ep/it:1467- 188 niter:562050  2940m 58s (- 65m 8s) completed: 97%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0447  acc: 0.6011  lr: 0.0000 
ep/it:1467- 238 niter:562100  2941m 13s (- 64m 53s) completed: 97%) loss_emb: 0.0000  loss: 1.3471  loss_TTT: 0.0413  acc: 0.6056  lr: 0.0000 
ep/it:1467- 288 niter:562150  2941m 28s (- 64m 37s) completed: 97%) loss_emb: 0.0000  loss: 1.3358  loss_TTT: 0.0415  acc: 0.6101  lr: 0.0000 
ep/it:1467- 338 niter:562200  2941m 42s (- 64m 21s) completed: 97%) loss_emb: 0.0000  loss: 1.3718  loss_TTT: 0.0449  acc: 0.6004  lr: 0.0000 
Validation loss:1.580, accuracy:0.565
ep/it:1468-   5 niter:562250  2942m 0s (- 64m 5s) completed: 97%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0439  acc: 0.6016  lr: 0.0000 
ep/it:1468-  55 niter:562300  2942m 14s (- 63m 50s) completed: 97%) loss_emb: 0.0000  loss: 1.3434  loss_TTT: 0.0430  acc: 0.6075  lr: 0.0000 
ep/it:1468- 105 niter:562350  2942m 29s (- 63m 34s) completed: 97%) loss_emb: 0.0000  loss: 1.3621  loss_TTT: 0.0452  acc: 0.6026  lr: 0.0000 
ep/it:1468- 155 niter:562400  2942m 43s (- 63m 18s) completed: 97%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0435  acc: 0.6002  lr: 0.0000 
ep/it:1468- 205 niter:562450  2942m 57s (- 63m 3s) completed: 97%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0441  acc: 0.5970  lr: 0.0000 
ep/it:1468- 255 niter:562500  2943m 12s (- 62m 47s) completed: 97%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0424  acc: 0.6043  lr: 0.0000 
ep/it:1468- 305 niter:562550  2943m 27s (- 62m 31s) completed: 97%) loss_emb: 0.0000  loss: 1.3696  loss_TTT: 0.0439  acc: 0.6005  lr: 0.0000 
ep/it:1468- 355 niter:562600  2943m 41s (- 62m 15s) completed: 97%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0431  acc: 0.6025  lr: 0.0000 
Validation loss:1.605, accuracy:0.559
ep/it:1469-  22 niter:562650  2943m 58s (- 62m 0s) completed: 97%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0428  acc: 0.5941  lr: 0.0000 
ep/it:1469-  72 niter:562700  2944m 12s (- 61m 44s) completed: 97%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0433  acc: 0.6004  lr: 0.0000 
ep/it:1469- 122 niter:562750  2944m 26s (- 61m 28s) completed: 97%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0438  acc: 0.6032  lr: 0.0000 
ep/it:1469- 172 niter:562800  2944m 40s (- 61m 12s) completed: 97%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0461  acc: 0.5963  lr: 0.0000 
ep/it:1469- 222 niter:562850  2944m 54s (- 60m 57s) completed: 97%) loss_emb: 0.0000  loss: 1.3436  loss_TTT: 0.0427  acc: 0.6079  lr: 0.0000 
ep/it:1469- 272 niter:562900  2945m 8s (- 60m 41s) completed: 97%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0435  acc: 0.6024  lr: 0.0000 
ep/it:1469- 322 niter:562950  2945m 22s (- 60m 25s) completed: 97%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0425  acc: 0.6004  lr: 0.0000 
ep/it:1469- 372 niter:563000  2945m 37s (- 60m 10s) completed: 97%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0433  acc: 0.6064  lr: 0.0000 
Validation loss:1.586, accuracy:0.563

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100%|██████████| 47/47 [01:18<00:00,  1.67s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.891490523703396 avg: 38.891490523703396
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.54500225186348 avg: 38.71824638778344
--> 	 Eva. Repeat 0 :, FID. 0.0707, Diversity Real. 9.6064, Diversity. 9.3720, R_precision_real. [0.50585938 0.69921875 0.8046875 ], R_precision. [0.48828125 0.68945312 0.77929688], matching_score_real. 2.8868, matching_score_pred. 2.9894, skate_ratio. 0.0480, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0508 (traj_fail_50cm (Traj err)): 0.0068 (kps_fail_20cm): 0.0103 (kps_fail_50cm (Loc. err)): 0.0006 (kps_mean_err(m) (Avg. err)): 0.0262 
ep/it:1470-  39 niter:563050  2947m 13s (- 59m 56s) completed: 98%) loss_emb: 0.0000  loss: 1.3500  loss_TTT: 0.0419  acc: 0.6053  lr: 0.0000 
ep/it:1470-  89 niter:563100  2947m 27s (- 59m 40s) completed: 98%) loss_emb: 0.0000  loss: 1.3475  loss_TTT: 0.0451  acc: 0.6073  lr: 0.0000 
ep/it:1470- 139 niter:563150  2947m 41s (- 59m 24s) completed: 98%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0427  acc: 0.6045  lr: 0.0000 
ep/it:1470- 189 niter:563200  2947m 55s (- 59m 8s) completed: 98%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0460  acc: 0.5996  lr: 0.0000 
ep/it:1470- 239 niter:563250  2948m 9s (- 58m 53s) completed: 98%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0426  acc: 0.6047  lr: 0.0000 
ep/it:1470- 289 niter:563300  2948m 23s (- 58m 37s) completed: 98%) loss_emb: 0.0000  loss: 1.3438  loss_TTT: 0.0435  acc: 0.6082  lr: 0.0000 
ep/it:1470- 339 niter:563350  2948m 37s (- 58m 21s) completed: 98%) loss_emb: 0.0000  loss: 1.3736  loss_TTT: 0.0432  acc: 0.5996  lr: 0.0000 
Validation loss:1.598, accuracy:0.559
ep/it:1471-   6 niter:563400  2948m 54s (- 58m 5s) completed: 98%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0420  acc: 0.6012  lr: 0.0000 
ep/it:1471-  56 niter:563450  2949m 8s (- 57m 50s) completed: 98%) loss_emb: 0.0000  loss: 1.3570  loss_TTT: 0.0426  acc: 0.6040  lr: 0.0000 
ep/it:1471- 106 niter:563500  2949m 22s (- 57m 34s) completed: 98%) loss_emb: 0.0000  loss: 1.3288  loss_TTT: 0.0427  acc: 0.6120  lr: 0.0000 
ep/it:1471- 156 niter:563550  2949m 37s (- 57m 18s) completed: 98%) loss_emb: 0.0000  loss: 1.3514  loss_TTT: 0.0431  acc: 0.6060  lr: 0.0000 
ep/it:1471- 206 niter:563600  2949m 51s (- 57m 3s) completed: 98%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0439  acc: 0.5969  lr: 0.0000 
ep/it:1471- 256 niter:563650  2950m 5s (- 56m 47s) completed: 98%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0436  acc: 0.6018  lr: 0.0000 
ep/it:1471- 306 niter:563700  2950m 19s (- 56m 31s) completed: 98%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0447  acc: 0.5991  lr: 0.0000 
ep/it:1471- 356 niter:563750  2950m 34s (- 56m 15s) completed: 98%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0439  acc: 0.6057  lr: 0.0000 
Validation loss:1.552, accuracy:0.573
ep/it:1472-  23 niter:563800  2950m 51s (- 56m 0s) completed: 98%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0452  acc: 0.6055  lr: 0.0000 
ep/it:1472-  73 niter:563850  2951m 5s (- 55m 44s) completed: 98%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0447  acc: 0.5982  lr: 0.0000 
ep/it:1472- 123 niter:563900  2951m 19s (- 55m 28s) completed: 98%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0432  acc: 0.5968  lr: 0.0000 
ep/it:1472- 173 niter:563950  2951m 33s (- 55m 12s) completed: 98%) loss_emb: 0.0000  loss: 1.3486  loss_TTT: 0.0436  acc: 0.6056  lr: 0.0000 
ep/it:1472- 223 niter:564000  2951m 49s (- 54m 57s) completed: 98%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0433  acc: 0.6062  lr: 0.0000 
ep/it:1472- 273 niter:564050  2952m 3s (- 54m 41s) completed: 98%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0436  acc: 0.6023  lr: 0.0000 
ep/it:1472- 323 niter:564100  2952m 18s (- 54m 25s) completed: 98%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0439  acc: 0.6009  lr: 0.0000 
ep/it:1472- 373 niter:564150  2952m 32s (- 54m 10s) completed: 98%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0427  acc: 0.5945  lr: 0.0000 
Validation loss:1.500, accuracy:0.586
ep/it:1473-  40 niter:564200  2952m 50s (- 53m 54s) completed: 98%) loss_emb: 0.0000  loss: 1.3371  loss_TTT: 0.0429  acc: 0.6082  lr: 0.0000 
ep/it:1473-  90 niter:564250  2953m 4s (- 53m 38s) completed: 98%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0452  acc: 0.6026  lr: 0.0000 
ep/it:1473- 140 niter:564300  2953m 18s (- 53m 22s) completed: 98%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0435  acc: 0.5974  lr: 0.0000 
ep/it:1473- 190 niter:564350  2953m 32s (- 53m 7s) completed: 98%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0439  acc: 0.5989  lr: 0.0000 
ep/it:1473- 240 niter:564400  2953m 47s (- 52m 51s) completed: 98%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0438  acc: 0.6036  lr: 0.0000 
ep/it:1473- 290 niter:564450  2954m 1s (- 52m 35s) completed: 98%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0436  acc: 0.6043  lr: 0.0000 
ep/it:1473- 340 niter:564500  2954m 16s (- 52m 20s) completed: 98%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0454  acc: 0.6056  lr: 0.0000 
Validation loss:1.545, accuracy:0.576
ep/it:1474-   7 niter:564550  2954m 33s (- 52m 4s) completed: 98%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0448  acc: 0.6037  lr: 0.0000 
ep/it:1474-  57 niter:564600  2954m 47s (- 51m 48s) completed: 98%) loss_emb: 0.0000  loss: 1.3481  loss_TTT: 0.0446  acc: 0.6072  lr: 0.0000 
ep/it:1474- 107 niter:564650  2955m 1s (- 51m 32s) completed: 98%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0476  acc: 0.6026  lr: 0.0000 
ep/it:1474- 157 niter:564700  2955m 15s (- 51m 17s) completed: 98%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0461  acc: 0.5940  lr: 0.0000 
ep/it:1474- 207 niter:564750  2955m 29s (- 51m 1s) completed: 98%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0445  acc: 0.6010  lr: 0.0000 
ep/it:1474- 257 niter:564800  2955m 44s (- 50m 45s) completed: 98%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0469  acc: 0.5992  lr: 0.0000 
ep/it:1474- 307 niter:564850  2955m 58s (- 50m 30s) completed: 98%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0455  acc: 0.6050  lr: 0.0000 
ep/it:1474- 357 niter:564900  2956m 12s (- 50m 14s) completed: 98%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0453  acc: 0.6065  lr: 0.0000 
Validation loss:1.605, accuracy:0.559
ep/it:1475-  24 niter:564950  2956m 29s (- 49m 58s) completed: 98%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0454  acc: 0.6029  lr: 0.0000 
ep/it:1475-  74 niter:565000  2956m 43s (- 49m 42s) completed: 98%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0446  acc: 0.6050  lr: 0.0000 
ep/it:1475- 124 niter:565050  2956m 58s (- 49m 27s) completed: 98%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0455  acc: 0.6055  lr: 0.0000 
ep/it:1475- 174 niter:565100  2957m 12s (- 49m 11s) completed: 98%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0456  acc: 0.6089  lr: 0.0000 
ep/it:1475- 224 niter:565150  2957m 27s (- 48m 55s) completed: 98%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0449  acc: 0.6037  lr: 0.0000 
ep/it:1475- 274 niter:565200  2957m 41s (- 48m 40s) completed: 98%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0443  acc: 0.6034  lr: 0.0000 
ep/it:1475- 324 niter:565250  2957m 55s (- 48m 24s) completed: 98%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0442  acc: 0.6078  lr: 0.0000 
ep/it:1475- 374 niter:565300  2958m 10s (- 48m 8s) completed: 98%) loss_emb: 0.0000  loss: 1.3475  loss_TTT: 0.0453  acc: 0.6066  lr: 0.0000 
Validation loss:1.549, accuracy:0.573
ep/it:1476-  41 niter:565350  2958m 26s (- 47m 52s) completed: 98%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0437  acc: 0.6053  lr: 0.0000 
ep/it:1476-  91 niter:565400  2958m 40s (- 47m 37s) completed: 98%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0438  acc: 0.6054  lr: 0.0000 
ep/it:1476- 141 niter:565450  2958m 54s (- 47m 21s) completed: 98%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0452  acc: 0.6005  lr: 0.0000 
ep/it:1476- 191 niter:565500  2959m 9s (- 47m 5s) completed: 98%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0432  acc: 0.6019  lr: 0.0000 
ep/it:1476- 241 niter:565550  2959m 24s (- 46m 50s) completed: 98%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0432  acc: 0.6052  lr: 0.0000 
ep/it:1476- 291 niter:565600  2959m 38s (- 46m 34s) completed: 98%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0425  acc: 0.6040  lr: 0.0000 
ep/it:1476- 341 niter:565650  2959m 52s (- 46m 18s) completed: 98%) loss_emb: 0.0000  loss: 1.3331  loss_TTT: 0.0428  acc: 0.6106  lr: 0.0000 
Validation loss:1.607, accuracy:0.560
ep/it:1477-   8 niter:565700  2960m 9s (- 46m 2s) completed: 98%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0457  acc: 0.5998  lr: 0.0000 
ep/it:1477-  58 niter:565750  2960m 23s (- 45m 47s) completed: 98%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0427  acc: 0.6010  lr: 0.0000 
ep/it:1477- 108 niter:565800  2960m 37s (- 45m 31s) completed: 98%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0438  acc: 0.6040  lr: 0.0000 
ep/it:1477- 158 niter:565850  2960m 51s (- 45m 15s) completed: 98%) loss_emb: 0.0000  loss: 1.3321  loss_TTT: 0.0441  acc: 0.6114  lr: 0.0000 
ep/it:1477- 208 niter:565900  2961m 6s (- 45m 0s) completed: 98%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0443  acc: 0.5971  lr: 0.0000 
ep/it:1477- 258 niter:565950  2961m 20s (- 44m 44s) completed: 98%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0427  acc: 0.6010  lr: 0.0000 
ep/it:1477- 308 niter:566000  2961m 34s (- 44m 28s) completed: 98%) loss_emb: 0.0000  loss: 1.3330  loss_TTT: 0.0432  acc: 0.6103  lr: 0.0000 
ep/it:1477- 358 niter:566050  2961m 49s (- 44m 12s) completed: 98%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0444  acc: 0.6029  lr: 0.0000 
Validation loss:1.596, accuracy:0.560
ep/it:1478-  25 niter:566100  2962m 6s (- 43m 57s) completed: 98%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0447  acc: 0.5980  lr: 0.0000 
ep/it:1478-  75 niter:566150  2962m 20s (- 43m 41s) completed: 98%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0431  acc: 0.6058  lr: 0.0000 
ep/it:1478- 125 niter:566200  2962m 34s (- 43m 25s) completed: 98%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0431  acc: 0.5943  lr: 0.0000 
ep/it:1478- 175 niter:566250  2962m 49s (- 43m 10s) completed: 98%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0452  acc: 0.6040  lr: 0.0000 
ep/it:1478- 225 niter:566300  2963m 3s (- 42m 54s) completed: 98%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0429  acc: 0.6069  lr: 0.0000 
ep/it:1478- 275 niter:566350  2963m 17s (- 42m 38s) completed: 98%) loss_emb: 0.0000  loss: 1.3361  loss_TTT: 0.0433  acc: 0.6089  lr: 0.0000 
ep/it:1478- 325 niter:566400  2963m 31s (- 42m 22s) completed: 98%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0453  acc: 0.5972  lr: 0.0000 
ep/it:1478- 375 niter:566450  2963m 45s (- 42m 7s) completed: 98%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0446  acc: 0.6034  lr: 0.0000 
Validation loss:1.561, accuracy:0.571
ep/it:1479-  42 niter:566500  2964m 2s (- 41m 51s) completed: 98%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0444  acc: 0.6050  lr: 0.0000 
ep/it:1479-  92 niter:566550  2964m 16s (- 41m 35s) completed: 98%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0433  acc: 0.5978  lr: 0.0000 
ep/it:1479- 142 niter:566600  2964m 30s (- 41m 20s) completed: 98%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0456  acc: 0.6041  lr: 0.0000 
ep/it:1479- 192 niter:566650  2964m 45s (- 41m 4s) completed: 98%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0446  acc: 0.6031  lr: 0.0000 
ep/it:1479- 242 niter:566700  2964m 59s (- 40m 48s) completed: 98%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0420  acc: 0.5997  lr: 0.0000 
ep/it:1479- 292 niter:566750  2965m 13s (- 40m 32s) completed: 98%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0438  acc: 0.6008  lr: 0.0000 
ep/it:1479- 342 niter:566800  2965m 27s (- 40m 17s) completed: 98%) loss_emb: 0.0000  loss: 1.3343  loss_TTT: 0.0439  acc: 0.6105  lr: 0.0000 
Validation loss:1.580, accuracy:0.565

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 34%|███▍      | 16/47 [00:39<01:17,  2.50s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.77237801998854 avg: 38.77237801998854
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.023144039325416 avg: 38.89776102965698
--> 	 Eva. Repeat 0 :, FID. 0.0651, Diversity Real. 9.5598, Diversity. 9.7187, R_precision_real. [0.51660156 0.71875    0.80175781], R_precision. [0.5        0.70214844 0.79882812], matching_score_real. 2.8734, matching_score_pred. 2.9097, skate_ratio. 0.0512, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0439 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0089 (kps_fail_50cm (Loc. err)): 0.0004 (kps_mean_err(m) (Avg. err)): 0.0261 
ep/it:1480-   9 niter:566850  2967m 4s (- 40m 2s) completed: 98%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0426  acc: 0.5981  lr: 0.0000 
ep/it:1480-  59 niter:566900  2967m 18s (- 39m 46s) completed: 98%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0433  acc: 0.6040  lr: 0.0000 
ep/it:1480- 109 niter:566950  2967m 33s (- 39m 31s) completed: 98%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0433  acc: 0.6037  lr: 0.0000 
ep/it:1480- 159 niter:567000  2967m 48s (- 39m 15s) completed: 98%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0436  acc: 0.5979  lr: 0.0000 
ep/it:1480- 209 niter:567050  2968m 2s (- 38m 59s) completed: 98%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0454  acc: 0.5990  lr: 0.0000 
ep/it:1480- 259 niter:567100  2968m 17s (- 38m 43s) completed: 98%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0433  acc: 0.6062  lr: 0.0000 
ep/it:1480- 309 niter:567150  2968m 32s (- 38m 28s) completed: 98%) loss_emb: 0.0000  loss: 1.3455  loss_TTT: 0.0442  acc: 0.6057  lr: 0.0000 
ep/it:1480- 359 niter:567200  2968m 46s (- 38m 12s) completed: 98%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0456  acc: 0.6026  lr: 0.0000 
Validation loss:1.566, accuracy:0.567
ep/it:1481-  26 niter:567250  2969m 3s (- 37m 56s) completed: 98%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0436  acc: 0.5994  lr: 0.0000 
ep/it:1481-  76 niter:567300  2969m 17s (- 37m 41s) completed: 98%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0442  acc: 0.6083  lr: 0.0000 
ep/it:1481- 126 niter:567350  2969m 31s (- 37m 25s) completed: 98%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0445  acc: 0.5994  lr: 0.0000 
ep/it:1481- 176 niter:567400  2969m 45s (- 37m 9s) completed: 98%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0428  acc: 0.6022  lr: 0.0000 
ep/it:1481- 226 niter:567450  2969m 59s (- 36m 53s) completed: 98%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0434  acc: 0.6028  lr: 0.0000 
ep/it:1481- 276 niter:567500  2970m 13s (- 36m 38s) completed: 98%) loss_emb: 0.0000  loss: 1.3620  loss_TTT: 0.0436  acc: 0.6029  lr: 0.0000 
ep/it:1481- 326 niter:567550  2970m 27s (- 36m 22s) completed: 98%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0438  acc: 0.6065  lr: 0.0000 
ep/it:1481- 376 niter:567600  2970m 41s (- 36m 6s) completed: 98%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0436  acc: 0.6016  lr: 0.0000 
Validation loss:1.591, accuracy:0.563
ep/it:1482-  43 niter:567650  2970m 58s (- 35m 51s) completed: 98%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0445  acc: 0.6032  lr: 0.0000 
ep/it:1482-  93 niter:567700  2971m 12s (- 35m 35s) completed: 98%) loss_emb: 0.0000  loss: 1.3482  loss_TTT: 0.0432  acc: 0.6072  lr: 0.0000 
ep/it:1482- 143 niter:567750  2971m 27s (- 35m 19s) completed: 98%) loss_emb: 0.0000  loss: 1.3452  loss_TTT: 0.0447  acc: 0.6081  lr: 0.0000 
ep/it:1482- 193 niter:567800  2971m 41s (- 35m 3s) completed: 98%) loss_emb: 0.0000  loss: 1.3515  loss_TTT: 0.0445  acc: 0.6062  lr: 0.0000 
ep/it:1482- 243 niter:567850  2971m 55s (- 34m 48s) completed: 98%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0432  acc: 0.6039  lr: 0.0000 
ep/it:1482- 293 niter:567900  2972m 10s (- 34m 32s) completed: 98%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0437  acc: 0.6003  lr: 0.0000 
ep/it:1482- 343 niter:567950  2972m 24s (- 34m 16s) completed: 98%) loss_emb: 0.0000  loss: 1.3440  loss_TTT: 0.0429  acc: 0.6072  lr: 0.0000 
Validation loss:1.575, accuracy:0.565
ep/it:1483-  10 niter:568000  2972m 42s (- 34m 1s) completed: 98%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0441  acc: 0.6005  lr: 0.0000 
ep/it:1483-  60 niter:568050  2972m 56s (- 33m 45s) completed: 98%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0456  acc: 0.5960  lr: 0.0000 
ep/it:1483- 110 niter:568100  2973m 10s (- 33m 29s) completed: 98%) loss_emb: 0.0000  loss: 1.3532  loss_TTT: 0.0441  acc: 0.6064  lr: 0.0000 
ep/it:1483- 160 niter:568150  2973m 25s (- 33m 13s) completed: 98%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0442  acc: 0.6006  lr: 0.0000 
ep/it:1483- 210 niter:568200  2973m 39s (- 32m 58s) completed: 98%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0443  acc: 0.5985  lr: 0.0000 
ep/it:1483- 260 niter:568250  2973m 53s (- 32m 42s) completed: 98%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0443  acc: 0.6053  lr: 0.0000 
ep/it:1483- 310 niter:568300  2974m 8s (- 32m 26s) completed: 98%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0425  acc: 0.6030  lr: 0.0000 
ep/it:1483- 360 niter:568350  2974m 22s (- 32m 11s) completed: 98%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0417  acc: 0.5991  lr: 0.0000 
Validation loss:1.521, accuracy:0.582
ep/it:1484-  27 niter:568400  2974m 39s (- 31m 55s) completed: 98%) loss_emb: 0.0000  loss: 1.3743  loss_TTT: 0.0443  acc: 0.5981  lr: 0.0000 
ep/it:1484-  77 niter:568450  2974m 54s (- 31m 39s) completed: 98%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0443  acc: 0.6025  lr: 0.0000 
ep/it:1484- 127 niter:568500  2975m 8s (- 31m 23s) completed: 98%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0435  acc: 0.6018  lr: 0.0000 
ep/it:1484- 177 niter:568550  2975m 23s (- 31m 8s) completed: 98%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0436  acc: 0.6053  lr: 0.0000 
ep/it:1484- 227 niter:568600  2975m 37s (- 30m 52s) completed: 98%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0437  acc: 0.6060  lr: 0.0000 
ep/it:1484- 277 niter:568650  2975m 51s (- 30m 36s) completed: 98%) loss_emb: 0.0000  loss: 1.3573  loss_TTT: 0.0438  acc: 0.6034  lr: 0.0000 
ep/it:1484- 327 niter:568700  2976m 6s (- 30m 21s) completed: 98%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0442  acc: 0.6079  lr: 0.0000 
ep/it:1484- 377 niter:568750  2976m 20s (- 30m 5s) completed: 98%) loss_emb: 0.0000  loss: 1.3433  loss_TTT: 0.0438  acc: 0.6092  lr: 0.0000 
Validation loss:1.582, accuracy:0.565
ep/it:1485-  44 niter:568800  2976m 38s (- 29m 49s) completed: 99%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0436  acc: 0.6045  lr: 0.0000 
ep/it:1485-  94 niter:568850  2976m 52s (- 29m 34s) completed: 99%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0458  acc: 0.5970  lr: 0.0000 
ep/it:1485- 144 niter:568900  2977m 7s (- 29m 18s) completed: 99%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0453  acc: 0.5972  lr: 0.0000 
ep/it:1485- 194 niter:568950  2977m 21s (- 29m 2s) completed: 99%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0446  acc: 0.6020  lr: 0.0000 
ep/it:1485- 244 niter:569000  2977m 35s (- 28m 46s) completed: 99%) loss_emb: 0.0000  loss: 1.3428  loss_TTT: 0.0427  acc: 0.6080  lr: 0.0000 
ep/it:1485- 294 niter:569050  2977m 50s (- 28m 31s) completed: 99%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0427  acc: 0.6013  lr: 0.0000 
ep/it:1485- 344 niter:569100  2978m 5s (- 28m 15s) completed: 99%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0431  acc: 0.6050  lr: 0.0000 
Validation loss:1.530, accuracy:0.578
ep/it:1486-  11 niter:569150  2978m 22s (- 27m 59s) completed: 99%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0442  acc: 0.6025  lr: 0.0000 
ep/it:1486-  61 niter:569200  2978m 36s (- 27m 44s) completed: 99%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0447  acc: 0.5996  lr: 0.0000 
ep/it:1486- 111 niter:569250  2978m 50s (- 27m 28s) completed: 99%) loss_emb: 0.0000  loss: 1.3554  loss_TTT: 0.0442  acc: 0.6039  lr: 0.0000 
ep/it:1486- 161 niter:569300  2979m 4s (- 27m 12s) completed: 99%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0440  acc: 0.6034  lr: 0.0000 
ep/it:1486- 211 niter:569350  2979m 19s (- 26m 56s) completed: 99%) loss_emb: 0.0000  loss: 1.3757  loss_TTT: 0.0439  acc: 0.5991  lr: 0.0000 
ep/it:1486- 261 niter:569400  2979m 33s (- 26m 41s) completed: 99%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0441  acc: 0.6014  lr: 0.0000 
ep/it:1486- 311 niter:569450  2979m 47s (- 26m 25s) completed: 99%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0431  acc: 0.6035  lr: 0.0000 
ep/it:1486- 361 niter:569500  2980m 2s (- 26m 9s) completed: 99%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0437  acc: 0.6023  lr: 0.0000 
Validation loss:1.548, accuracy:0.572
ep/it:1487-  28 niter:569550  2980m 19s (- 25m 54s) completed: 99%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0450  acc: 0.5959  lr: 0.0000 
ep/it:1487-  78 niter:569600  2980m 34s (- 25m 38s) completed: 99%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0435  acc: 0.5986  lr: 0.0000 
ep/it:1487- 128 niter:569650  2980m 48s (- 25m 22s) completed: 99%) loss_emb: 0.0000  loss: 1.3360  loss_TTT: 0.0442  acc: 0.6102  lr: 0.0000 
ep/it:1487- 178 niter:569700  2981m 2s (- 25m 7s) completed: 99%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0433  acc: 0.6007  lr: 0.0000 
ep/it:1487- 228 niter:569750  2981m 16s (- 24m 51s) completed: 99%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0447  acc: 0.5988  lr: 0.0000 
ep/it:1487- 278 niter:569800  2981m 30s (- 24m 35s) completed: 99%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0435  acc: 0.5985  lr: 0.0000 
ep/it:1487- 328 niter:569850  2981m 44s (- 24m 19s) completed: 99%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0424  acc: 0.6060  lr: 0.0000 
ep/it:1487- 378 niter:569900  2981m 58s (- 24m 4s) completed: 99%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0438  acc: 0.6045  lr: 0.0000 
Validation loss:1.553, accuracy:0.573
ep/it:1488-  45 niter:569950  2982m 15s (- 23m 48s) completed: 99%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0438  acc: 0.6074  lr: 0.0000 
ep/it:1488-  95 niter:570000  2982m 30s (- 23m 32s) completed: 99%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0427  acc: 0.6054  lr: 0.0000 
ep/it:1488- 145 niter:570050  2982m 44s (- 23m 17s) completed: 99%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0454  acc: 0.5969  lr: 0.0000 
ep/it:1488- 195 niter:570100  2982m 59s (- 23m 1s) completed: 99%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0454  acc: 0.5983  lr: 0.0000 
ep/it:1488- 245 niter:570150  2983m 13s (- 22m 45s) completed: 99%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0429  acc: 0.6026  lr: 0.0000 
ep/it:1488- 295 niter:570200  2983m 27s (- 22m 29s) completed: 99%) loss_emb: 0.0000  loss: 1.3351  loss_TTT: 0.0437  acc: 0.6097  lr: 0.0000 
ep/it:1488- 345 niter:570250  2983m 42s (- 22m 14s) completed: 99%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0432  acc: 0.6019  lr: 0.0000 
Validation loss:1.541, accuracy:0.576
ep/it:1489-  12 niter:570300  2983m 59s (- 21m 58s) completed: 99%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0432  acc: 0.6060  lr: 0.0000 
ep/it:1489-  62 niter:570350  2984m 14s (- 21m 42s) completed: 99%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0451  acc: 0.5959  lr: 0.0000 
ep/it:1489- 112 niter:570400  2984m 28s (- 21m 27s) completed: 99%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0453  acc: 0.5982  lr: 0.0000 
ep/it:1489- 162 niter:570450  2984m 42s (- 21m 11s) completed: 99%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0451  acc: 0.5989  lr: 0.0000 
ep/it:1489- 212 niter:570500  2984m 57s (- 20m 55s) completed: 99%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0448  acc: 0.6022  lr: 0.0000 
ep/it:1489- 262 niter:570550  2985m 11s (- 20m 40s) completed: 99%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0440  acc: 0.6018  lr: 0.0000 
ep/it:1489- 312 niter:570600  2985m 26s (- 20m 24s) completed: 99%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0462  acc: 0.6012  lr: 0.0000 
ep/it:1489- 362 niter:570650  2985m 40s (- 20m 8s) completed: 99%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0435  acc: 0.5993  lr: 0.0000 
Validation loss:1.613, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.62it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.47s/it]
100%|██████████| 47/47 [01:18<00:00,  1.68s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.04315868206322 avg: 39.04315868206322
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  38.8832060135901 avg: 38.96318234782666
--> 	 Eva. Repeat 0 :, FID. 0.0952, Diversity Real. 9.6575, Diversity. 9.6548, R_precision_real. [0.51074219 0.71875    0.80566406], R_precision. [0.51855469 0.70507812 0.80078125], matching_score_real. 2.8608, matching_score_pred. 2.8896, skate_ratio. 0.0486, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0537 (traj_fail_50cm (Traj err)): 0.0049 (kps_fail_20cm): 0.0106 (kps_fail_50cm (Loc. err)): 0.0003 (kps_mean_err(m) (Avg. err)): 0.0262 
ep/it:1490-  29 niter:570700  2987m 17s (- 19m 53s) completed: 99%) loss_emb: 0.0000  loss: 1.3439  loss_TTT: 0.0447  acc: 0.6076  lr: 0.0000 
ep/it:1490-  79 niter:570750  2987m 31s (- 19m 37s) completed: 99%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0429  acc: 0.6050  lr: 0.0000 
ep/it:1490- 129 niter:570800  2987m 46s (- 19m 22s) completed: 99%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0453  acc: 0.6061  lr: 0.0000 
ep/it:1490- 179 niter:570850  2988m 0s (- 19m 6s) completed: 99%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0447  acc: 0.5998  lr: 0.0000 
ep/it:1490- 229 niter:570900  2988m 15s (- 18m 50s) completed: 99%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0451  acc: 0.6022  lr: 0.0000 
ep/it:1490- 279 niter:570950  2988m 29s (- 18m 34s) completed: 99%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0430  acc: 0.6048  lr: 0.0000 
ep/it:1490- 329 niter:571000  2988m 43s (- 18m 19s) completed: 99%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0450  acc: 0.5979  lr: 0.0000 
ep/it:1490- 379 niter:571050  2988m 58s (- 18m 3s) completed: 99%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0434  acc: 0.6059  lr: 0.0000 
Validation loss:1.585, accuracy:0.565
ep/it:1491-  46 niter:571100  2989m 15s (- 17m 47s) completed: 99%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0444  acc: 0.6073  lr: 0.0000 
ep/it:1491-  96 niter:571150  2989m 29s (- 17m 32s) completed: 99%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0429  acc: 0.6056  lr: 0.0000 
ep/it:1491- 146 niter:571200  2989m 43s (- 17m 16s) completed: 99%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0440  acc: 0.6045  lr: 0.0000 
ep/it:1491- 196 niter:571250  2989m 58s (- 17m 0s) completed: 99%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0437  acc: 0.6053  lr: 0.0000 
ep/it:1491- 246 niter:571300  2990m 13s (- 16m 44s) completed: 99%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0437  acc: 0.6030  lr: 0.0000 
ep/it:1491- 296 niter:571350  2990m 27s (- 16m 29s) completed: 99%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0425  acc: 0.6048  lr: 0.0000 
ep/it:1491- 346 niter:571400  2990m 41s (- 16m 13s) completed: 99%) loss_emb: 0.0000  loss: 1.3563  loss_TTT: 0.0438  acc: 0.6033  lr: 0.0000 
Validation loss:1.523, accuracy:0.579
ep/it:1492-  13 niter:571450  2990m 58s (- 15m 57s) completed: 99%) loss_emb: 0.0000  loss: 1.3546  loss_TTT: 0.0442  acc: 0.6038  lr: 0.0000 
ep/it:1492-  63 niter:571500  2991m 12s (- 15m 42s) completed: 99%) loss_emb: 0.0000  loss: 1.3538  loss_TTT: 0.0442  acc: 0.6053  lr: 0.0000 
ep/it:1492- 113 niter:571550  2991m 27s (- 15m 26s) completed: 99%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0438  acc: 0.6036  lr: 0.0000 
ep/it:1492- 163 niter:571600  2991m 42s (- 15m 10s) completed: 99%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0438  acc: 0.5997  lr: 0.0000 
ep/it:1492- 213 niter:571650  2991m 56s (- 14m 54s) completed: 99%) loss_emb: 0.0000  loss: 1.3632  loss_TTT: 0.0431  acc: 0.6014  lr: 0.0000 
ep/it:1492- 263 niter:571700  2992m 10s (- 14m 39s) completed: 99%) loss_emb: 0.0000  loss: 1.3596  loss_TTT: 0.0439  acc: 0.6030  lr: 0.0000 
ep/it:1492- 313 niter:571750  2992m 25s (- 14m 23s) completed: 99%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0431  acc: 0.5983  lr: 0.0000 
ep/it:1492- 363 niter:571800  2992m 39s (- 14m 7s) completed: 99%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0434  acc: 0.6046  lr: 0.0000 
Validation loss:1.585, accuracy:0.566
ep/it:1493-  30 niter:571850  2992m 56s (- 13m 52s) completed: 99%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0444  acc: 0.5954  lr: 0.0000 
ep/it:1493-  80 niter:571900  2993m 11s (- 13m 36s) completed: 99%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0445  acc: 0.6077  lr: 0.0000 
ep/it:1493- 130 niter:571950  2993m 25s (- 13m 20s) completed: 99%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0446  acc: 0.6048  lr: 0.0000 
ep/it:1493- 180 niter:572000  2993m 39s (- 13m 5s) completed: 99%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0435  acc: 0.6016  lr: 0.0000 
ep/it:1493- 230 niter:572050  2993m 54s (- 12m 49s) completed: 99%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0443  acc: 0.6005  lr: 0.0000 
ep/it:1493- 280 niter:572100  2994m 9s (- 12m 33s) completed: 99%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0422  acc: 0.5993  lr: 0.0000 
ep/it:1493- 330 niter:572150  2994m 24s (- 12m 17s) completed: 99%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0425  acc: 0.6079  lr: 0.0000 
ep/it:1493- 380 niter:572200  2994m 38s (- 12m 2s) completed: 99%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0439  acc: 0.5966  lr: 0.0000 
Validation loss:1.542, accuracy:0.574
ep/it:1494-  47 niter:572250  2994m 55s (- 11m 46s) completed: 99%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0448  acc: 0.6074  lr: 0.0000 
ep/it:1494-  97 niter:572300  2995m 9s (- 11m 30s) completed: 99%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0433  acc: 0.6028  lr: 0.0000 
ep/it:1494- 147 niter:572350  2995m 24s (- 11m 15s) completed: 99%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0449  acc: 0.6013  lr: 0.0000 
ep/it:1494- 197 niter:572400  2995m 38s (- 10m 59s) completed: 99%) loss_emb: 0.0000  loss: 1.3430  loss_TTT: 0.0429  acc: 0.6074  lr: 0.0000 
ep/it:1494- 247 niter:572450  2995m 53s (- 10m 43s) completed: 99%) loss_emb: 0.0000  loss: 1.3260  loss_TTT: 0.0448  acc: 0.6128  lr: 0.0000 
ep/it:1494- 297 niter:572500  2996m 7s (- 10m 28s) completed: 99%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0424  acc: 0.5980  lr: 0.0000 
ep/it:1494- 347 niter:572550  2996m 22s (- 10m 12s) completed: 99%) loss_emb: 0.0000  loss: 1.3442  loss_TTT: 0.0455  acc: 0.6078  lr: 0.0000 
Validation loss:1.598, accuracy:0.561
ep/it:1495-  14 niter:572600  2996m 39s (- 9m 56s) completed: 99%) loss_emb: 0.0000  loss: 1.3375  loss_TTT: 0.0433  acc: 0.6095  lr: 0.0000 
ep/it:1495-  64 niter:572650  2996m 54s (- 9m 40s) completed: 99%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0443  acc: 0.5971  lr: 0.0000 
ep/it:1495- 114 niter:572700  2997m 8s (- 9m 25s) completed: 99%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0449  acc: 0.6067  lr: 0.0000 
ep/it:1495- 164 niter:572750  2997m 23s (- 9m 9s) completed: 99%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0456  acc: 0.5954  lr: 0.0000 
ep/it:1495- 214 niter:572800  2997m 37s (- 8m 53s) completed: 99%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0420  acc: 0.6085  lr: 0.0000 
ep/it:1495- 264 niter:572850  2997m 52s (- 8m 38s) completed: 99%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0444  acc: 0.6034  lr: 0.0000 
ep/it:1495- 314 niter:572900  2998m 6s (- 8m 22s) completed: 99%) loss_emb: 0.0000  loss: 1.3514  loss_TTT: 0.0431  acc: 0.6053  lr: 0.0000 
ep/it:1495- 364 niter:572950  2998m 21s (- 8m 6s) completed: 99%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0435  acc: 0.6012  lr: 0.0000 
Validation loss:1.562, accuracy:0.571
ep/it:1496-  31 niter:573000  2998m 38s (- 7m 50s) completed: 99%) loss_emb: 0.0000  loss: 1.3644  loss_TTT: 0.0436  acc: 0.6025  lr: 0.0000 
ep/it:1496-  81 niter:573050  2998m 53s (- 7m 35s) completed: 99%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0419  acc: 0.6052  lr: 0.0000 
ep/it:1496- 131 niter:573100  2999m 8s (- 7m 19s) completed: 99%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0438  acc: 0.5998  lr: 0.0000 
ep/it:1496- 181 niter:573150  2999m 22s (- 7m 3s) completed: 99%) loss_emb: 0.0000  loss: 1.3494  loss_TTT: 0.0448  acc: 0.6073  lr: 0.0000 
ep/it:1496- 231 niter:573200  2999m 37s (- 6m 48s) completed: 99%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0450  acc: 0.6003  lr: 0.0000 
ep/it:1496- 281 niter:573250  2999m 52s (- 6m 32s) completed: 99%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0429  acc: 0.6033  lr: 0.0000 
ep/it:1496- 331 niter:573300  3000m 6s (- 6m 16s) completed: 99%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0418  acc: 0.6042  lr: 0.0000 
ep/it:1496- 381 niter:573350  3000m 20s (- 6m 1s) completed: 99%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0445  acc: 0.6017  lr: 0.0000 
Validation loss:1.521, accuracy:0.580
ep/it:1497-  48 niter:573400  3000m 37s (- 5m 45s) completed: 99%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0422  acc: 0.5931  lr: 0.0000 
ep/it:1497-  98 niter:573450  3000m 52s (- 5m 29s) completed: 99%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0433  acc: 0.6006  lr: 0.0000 
ep/it:1497- 148 niter:573500  3001m 6s (- 5m 13s) completed: 99%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0435  acc: 0.6009  lr: 0.0000 
ep/it:1497- 198 niter:573550  3001m 20s (- 4m 58s) completed: 99%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0447  acc: 0.6021  lr: 0.0000 
ep/it:1497- 248 niter:573600  3001m 35s (- 4m 42s) completed: 99%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0425  acc: 0.6068  lr: 0.0000 
ep/it:1497- 298 niter:573650  3001m 49s (- 4m 26s) completed: 99%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0442  acc: 0.5976  lr: 0.0000 
ep/it:1497- 348 niter:573700  3002m 3s (- 4m 11s) completed: 99%) loss_emb: 0.0000  loss: 1.3353  loss_TTT: 0.0450  acc: 0.6099  lr: 0.0000 
Validation loss:1.585, accuracy:0.564
ep/it:1498-  15 niter:573750  3002m 20s (- 3m 55s) completed: 99%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0445  acc: 0.5938  lr: 0.0000 
ep/it:1498-  65 niter:573800  3002m 35s (- 3m 39s) completed: 99%) loss_emb: 0.0000  loss: 1.3486  loss_TTT: 0.0440  acc: 0.6072  lr: 0.0000 
ep/it:1498- 115 niter:573850  3002m 49s (- 3m 24s) completed: 99%) loss_emb: 0.0000  loss: 1.3620  loss_TTT: 0.0438  acc: 0.6035  lr: 0.0000 
ep/it:1498- 165 niter:573900  3003m 4s (- 3m 8s) completed: 99%) loss_emb: 0.0000  loss: 1.3440  loss_TTT: 0.0444  acc: 0.6076  lr: 0.0000 
ep/it:1498- 215 niter:573950  3003m 18s (- 2m 52s) completed: 99%) loss_emb: 0.0000  loss: 1.3469  loss_TTT: 0.0427  acc: 0.6065  lr: 0.0000 
ep/it:1498- 265 niter:574000  3003m 32s (- 2m 36s) completed: 99%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0423  acc: 0.6067  lr: 0.0000 
ep/it:1498- 315 niter:574050  3003m 47s (- 2m 21s) completed: 99%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0442  acc: 0.5981  lr: 0.0000 
ep/it:1498- 365 niter:574100  3004m 1s (- 2m 5s) completed: 99%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0439  acc: 0.5994  lr: 0.0000 
Validation loss:1.561, accuracy:0.571
ep/it:1499-  32 niter:574150  3004m 19s (- 1m 49s) completed: 99%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0440  acc: 0.6011  lr: 0.0000 
ep/it:1499-  82 niter:574200  3004m 33s (- 1m 34s) completed: 99%) loss_emb: 0.0000  loss: 1.3325  loss_TTT: 0.0438  acc: 0.6096  lr: 0.0000 
ep/it:1499- 132 niter:574250  3004m 48s (- 1m 18s) completed: 99%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0445  acc: 0.6054  lr: 0.0000 
ep/it:1499- 182 niter:574300  3005m 2s (- 1m 2s) completed: 99%) loss_emb: 0.0000  loss: 1.3347  loss_TTT: 0.0431  acc: 0.6111  lr: 0.0000 
ep/it:1499- 232 niter:574350  3005m 17s (- 0m 47s) completed: 99%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0432  acc: 0.6007  lr: 0.0000 
ep/it:1499- 282 niter:574400  3005m 31s (- 0m 31s) completed: 99%) loss_emb: 0.0000  loss: 1.3575  loss_TTT: 0.0436  acc: 0.6052  lr: 0.0000 
ep/it:1499- 332 niter:574450  3005m 45s (- 0m 15s) completed: 99%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0451  acc: 0.5959  lr: 0.0000 
ep/it:1499- 382 niter:574500  3006m 0s (- 0m 0s) completed:100%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0423  acc: 0.5986  lr: 0.0000 
Validation loss:1.571, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.81it/s]
 34%|███▍      | 16/47 [00:39<01:18,  2.52s/it]
 68%|██████▊   | 32/47 [01:18<00:37,  2.48s/it]
100%|██████████| 47/47 [01:19<00:00,  1.69s/it]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.156747383996844 avg: 39.156747383996844
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  39.02171826735139 avg: 39.08923282567412
--> 	 Eva. Repeat 0 :, FID. 0.1042, Diversity Real. 9.3742, Diversity. 9.8518, R_precision_real. [0.50292969 0.70898438 0.81640625], R_precision. [0.47949219 0.68261719 0.79296875], matching_score_real. 2.8928, matching_score_pred. 3.0183, skate_ratio. 0.0436, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.0439 (traj_fail_50cm (Traj err)): 0.0029 (kps_fail_20cm): 0.0110 (kps_fail_50cm (Loc. err)): 0.0005 (kps_mean_err(m) (Avg. err)): 0.0277