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: 1
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: Full_CtrlNet_.5XEnt.5TTT__traj_NoRetrainTrans
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 all models: 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<00:12,  3.64it/s]
 34%|███▍      | 16/47 [00:03<00:07,  4.18it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.94it/s]
100%|██████████| 47/47 [00:06<00:00,  6.92it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.8486724020913243 avg: 2.8486724020913243
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.548619158100337 avg: 2.6986457800958306
--> 	 Eva. Repeat 0 :, FID. 0.2181, Diversity Real. 9.4351, Diversity. 9.4915, R_precision_real. [0.52734375 0.70117188 0.79882812], R_precision. [0.46191406 0.63574219 0.72167969], matching_score_real. 2.9062, matching_score_pred. 3.3802, skate_ratio. 0.0383, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.8047 (traj_fail_50cm (Traj err)): 0.6191 (kps_fail_20cm): 0.6978 (kps_fail_50cm (Loc. err)): 0.4472 (kps_mean_err(m) (Avg. err)): 0.7782 
ep/it: 0-  49 niter:    50  0m 26s (- 5049m 46s) completed:  0%) loss_emb: 0.0000  loss: 1.5740  loss_TTT: 0.0790  acc: 0.5825  lr: 0.0000 
ep/it: 0-  99 niter:   100  0m 43s (- 4119m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.5713  loss_TTT: 0.0750  acc: 0.5732  lr: 0.0000 
ep/it: 0- 149 niter:   150  0m 59s (- 3778m 19s) completed:  0%) loss_emb: 0.0000  loss: 1.5044  loss_TTT: 0.0742  acc: 0.5877  lr: 0.0000 
ep/it: 0- 199 niter:   200  1m 15s (- 3600m 25s) completed:  0%) loss_emb: 0.0000  loss: 1.5395  loss_TTT: 0.0754  acc: 0.5781  lr: 0.0000 
ep/it: 0- 249 niter:   250  1m 31s (- 3499m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5147  loss_TTT: 0.0745  acc: 0.5830  lr: 0.0000 
ep/it: 0- 299 niter:   300  1m 47s (- 3443m 30s) completed:  0%) loss_emb: 0.0000  loss: 1.5213  loss_TTT: 0.0746  acc: 0.5814  lr: 0.0000 
ep/it: 0- 349 niter:   350  2m 3s (- 3388m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.5183  loss_TTT: 0.0757  acc: 0.5820  lr: 0.0000 
Validation time:
Validation loss:1.794, accuracy:0.535
Improved accuracy from 0.00 to 0.5346290417339491!!!
ep/it: 1-  16 niter:   400  2m 23s (- 3443m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5410  loss_TTT: 0.0745  acc: 0.5772  lr: 0.0000 
ep/it: 1-  66 niter:   450  2m 40s (- 3403m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5038  loss_TTT: 0.0728  acc: 0.5858  lr: 0.0000 
ep/it: 1- 116 niter:   500  2m 55s (- 3366m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.5186  loss_TTT: 0.0780  acc: 0.5825  lr: 0.0000 
ep/it: 1- 166 niter:   550  3m 12s (- 3354m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.5421  loss_TTT: 0.0735  acc: 0.5740  lr: 0.0001 
ep/it: 1- 216 niter:   600  3m 29s (- 3337m 5s) completed:  0%) loss_emb: 0.0000  loss: 1.5362  loss_TTT: 0.0741  acc: 0.5767  lr: 0.0001 
ep/it: 1- 266 niter:   650  3m 45s (- 3317m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5547  loss_TTT: 0.0736  acc: 0.5710  lr: 0.0001 
ep/it: 1- 316 niter:   700  4m 1s (- 3298m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5082  loss_TTT: 0.0727  acc: 0.5853  lr: 0.0001 
ep/it: 1- 366 niter:   750  4m 18s (- 3293m 13s) completed:  0%) loss_emb: 0.0000  loss: 1.5297  loss_TTT: 0.0752  acc: 0.5789  lr: 0.0001 
Validation time:
Validation loss:1.762, accuracy:0.539
Improved accuracy from 0.53 to 0.5389338485572649!!!
ep/it: 2-  33 niter:   800  4m 38s (- 3326m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.5472  loss_TTT: 0.0732  acc: 0.5756  lr: 0.0001 
ep/it: 2-  83 niter:   850  4m 54s (- 3312m 30s) completed:  0%) loss_emb: 0.0000  loss: 1.5198  loss_TTT: 0.0740  acc: 0.5810  lr: 0.0001 
ep/it: 2- 133 niter:   900  5m 10s (- 3302m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.5316  loss_TTT: 0.0736  acc: 0.5782  lr: 0.0001 
ep/it: 2- 183 niter:   950  5m 27s (- 3292m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5405  loss_TTT: 0.0748  acc: 0.5773  lr: 0.0001 
ep/it: 2- 233 niter:  1000  5m 43s (- 3286m 16s) completed:  0%) loss_emb: 0.0000  loss: 1.5447  loss_TTT: 0.0778  acc: 0.5759  lr: 0.0001 
ep/it: 2- 283 niter:  1050  6m 1s (- 3290m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.5142  loss_TTT: 0.0717  acc: 0.5851  lr: 0.0001 
ep/it: 2- 333 niter:  1100  6m 18s (- 3284m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.5295  loss_TTT: 0.0737  acc: 0.5791  lr: 0.0001 
Validation time:
Validation loss:1.734, accuracy:0.551
Improved accuracy from 0.54 to 0.5507702309152355!!!
ep/it: 3-   0 niter:  1150  6m 39s (- 3316m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.5273  loss_TTT: 0.0719  acc: 0.5808  lr: 0.0001 
ep/it: 3-  50 niter:  1200  6m 55s (- 3311m 19s) completed:  0%) loss_emb: 0.0000  loss: 1.5327  loss_TTT: 0.0749  acc: 0.5796  lr: 0.0001 
ep/it: 3- 100 niter:  1250  7m 12s (- 3307m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.5259  loss_TTT: 0.0763  acc: 0.5812  lr: 0.0001 
ep/it: 3- 150 niter:  1300  7m 29s (- 3305m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5221  loss_TTT: 0.0718  acc: 0.5832  lr: 0.0001 
ep/it: 3- 200 niter:  1350  7m 46s (- 3302m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.5280  loss_TTT: 0.0747  acc: 0.5802  lr: 0.0001 
ep/it: 3- 250 niter:  1400  8m 3s (- 3299m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5462  loss_TTT: 0.0765  acc: 0.5765  lr: 0.0001 
ep/it: 3- 300 niter:  1450  8m 20s (- 3293m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5452  loss_TTT: 0.0779  acc: 0.5768  lr: 0.0001 
ep/it: 3- 350 niter:  1500  8m 37s (- 3294m 22s) completed:  0%) loss_emb: 0.0000  loss: 1.5068  loss_TTT: 0.0723  acc: 0.5846  lr: 0.0001 
Validation time:
Validation loss:1.778, accuracy:0.540
ep/it: 4-  17 niter:  1550  8m 57s (- 3313m 10s) completed:  0%) loss_emb: 0.0000  loss: 1.5291  loss_TTT: 0.0744  acc: 0.5794  lr: 0.0002 
ep/it: 4-  67 niter:  1600  9m 14s (- 3308m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5282  loss_TTT: 0.0752  acc: 0.5799  lr: 0.0002 
ep/it: 4- 117 niter:  1650  9m 30s (- 3302m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5459  loss_TTT: 0.0769  acc: 0.5768  lr: 0.0002 
ep/it: 4- 167 niter:  1700  9m 47s (- 3301m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5224  loss_TTT: 0.0704  acc: 0.5795  lr: 0.0002 
ep/it: 4- 217 niter:  1750  10m 4s (- 3297m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5572  loss_TTT: 0.0767  acc: 0.5741  lr: 0.0002 
ep/it: 4- 267 niter:  1800  10m 21s (- 3294m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.5395  loss_TTT: 0.0730  acc: 0.5780  lr: 0.0002 
ep/it: 4- 317 niter:  1850  10m 37s (- 3290m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.5258  loss_TTT: 0.0708  acc: 0.5810  lr: 0.0002 
ep/it: 4- 367 niter:  1900  10m 54s (- 3286m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.5527  loss_TTT: 0.0769  acc: 0.5752  lr: 0.0002 
Validation time:
Validation loss:1.732, accuracy:0.551
Improved accuracy from 0.55 to 0.5514751905980317!!!
ep/it: 5-  34 niter:  1950  11m 15s (- 3303m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5544  loss_TTT: 0.0745  acc: 0.5737  lr: 0.0002 
ep/it: 5-  84 niter:  2000  11m 31s (- 3298m 58s) completed:  0%) loss_emb: 0.0000  loss: 1.5268  loss_TTT: 0.0727  acc: 0.5810  lr: 0.0002 
ep/it: 5- 134 niter:  2050  11m 49s (- 3299m 44s) completed:  0%) loss_emb: 0.0000  loss: 1.5536  loss_TTT: 0.0753  acc: 0.5743  lr: 0.0002 
ep/it: 5- 184 niter:  2100  12m 5s (- 3294m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.5210  loss_TTT: 0.0739  acc: 0.5815  lr: 0.0002 
ep/it: 5- 234 niter:  2150  12m 22s (- 3292m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5469  loss_TTT: 0.0731  acc: 0.5743  lr: 0.0002 
ep/it: 5- 284 niter:  2200  12m 39s (- 3291m 56s) completed:  0%) loss_emb: 0.0000  loss: 1.5141  loss_TTT: 0.0727  acc: 0.5846  lr: 0.0002 
ep/it: 5- 334 niter:  2250  12m 56s (- 3290m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5575  loss_TTT: 0.0706  acc: 0.5716  lr: 0.0002 
Validation time:
Validation loss:1.701, accuracy:0.554
Improved accuracy from 0.55 to 0.5541351631931637!!!
ep/it: 6-   1 niter:  2300  13m 17s (- 3308m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.5691  loss_TTT: 0.0746  acc: 0.5694  lr: 0.0002 
ep/it: 6-  51 niter:  2350  13m 34s (- 3306m 50s) completed:  0%) loss_emb: 0.0000  loss: 1.5365  loss_TTT: 0.0742  acc: 0.5777  lr: 0.0002 
ep/it: 6- 101 niter:  2400  13m 51s (- 3302m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.5157  loss_TTT: 0.0708  acc: 0.5833  lr: 0.0002 
ep/it: 6- 151 niter:  2450  14m 8s (- 3301m 21s) completed:  0%) loss_emb: 0.0000  loss: 1.5398  loss_TTT: 0.0738  acc: 0.5773  lr: 0.0002 
ep/it: 6- 201 niter:  2500  14m 25s (- 3301m 21s) completed:  0%) loss_emb: 0.0000  loss: 1.5330  loss_TTT: 0.0743  acc: 0.5776  lr: 0.0002 
ep/it: 6- 251 niter:  2550  14m 42s (- 3299m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.5324  loss_TTT: 0.0739  acc: 0.5792  lr: 0.0002 
ep/it: 6- 301 niter:  2600  14m 59s (- 3296m 7s) completed:  0%) loss_emb: 0.0000  loss: 1.5463  loss_TTT: 0.0735  acc: 0.5760  lr: 0.0002 
ep/it: 6- 351 niter:  2650  15m 15s (- 3293m 44s) completed:  0%) loss_emb: 0.0000  loss: 1.5323  loss_TTT: 0.0738  acc: 0.5778  lr: 0.0002 
Validation time:
Validation loss:1.742, accuracy:0.544
ep/it: 7-  18 niter:  2700  15m 36s (- 3304m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5491  loss_TTT: 0.0767  acc: 0.5755  lr: 0.0002 
ep/it: 7-  68 niter:  2750  15m 52s (- 3301m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5078  loss_TTT: 0.0735  acc: 0.5844  lr: 0.0002 
ep/it: 7- 118 niter:  2800  16m 9s (- 3299m 10s) completed:  0%) loss_emb: 0.0000  loss: 1.5283  loss_TTT: 0.0727  acc: 0.5795  lr: 0.0002 
ep/it: 7- 168 niter:  2850  16m 26s (- 3297m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.5309  loss_TTT: 0.0769  acc: 0.5802  lr: 0.0002 
ep/it: 7- 218 niter:  2900  16m 42s (- 3294m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.5322  loss_TTT: 0.0727  acc: 0.5774  lr: 0.0002 
ep/it: 7- 268 niter:  2950  16m 59s (- 3292m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5179  loss_TTT: 0.0720  acc: 0.5807  lr: 0.0002 
ep/it: 7- 318 niter:  3000  17m 15s (- 3289m 4s) completed:  0%) loss_emb: 0.0000  loss: 1.5124  loss_TTT: 0.0726  acc: 0.5837  lr: 0.0002 
ep/it: 7- 368 niter:  3050  17m 32s (- 3286m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5123  loss_TTT: 0.0700  acc: 0.5842  lr: 0.0002 
Validation time:
Validation loss:1.700, accuracy:0.555
Improved accuracy from 0.55 to 0.555454195841499!!!
ep/it: 8-  35 niter:  3100  17m 52s (- 3295m 4s) completed:  0%) loss_emb: 0.0000  loss: 1.4707  loss_TTT: 0.0676  acc: 0.5934  lr: 0.0002 
ep/it: 8-  85 niter:  3150  18m 8s (- 3291m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.5316  loss_TTT: 0.0757  acc: 0.5802  lr: 0.0002 
ep/it: 8- 135 niter:  3200  18m 24s (- 3287m 43s) completed:  0%) loss_emb: 0.0000  loss: 1.5500  loss_TTT: 0.0723  acc: 0.5741  lr: 0.0002 
ep/it: 8- 185 niter:  3250  18m 41s (- 3284m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5383  loss_TTT: 0.0732  acc: 0.5780  lr: 0.0002 
ep/it: 8- 235 niter:  3300  18m 58s (- 3283m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.5278  loss_TTT: 0.0711  acc: 0.5781  lr: 0.0002 
ep/it: 8- 285 niter:  3350  19m 14s (- 3280m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.5112  loss_TTT: 0.0683  acc: 0.5817  lr: 0.0002 
ep/it: 8- 335 niter:  3400  19m 30s (- 3277m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5346  loss_TTT: 0.0705  acc: 0.5772  lr: 0.0002 
Validation time:
Validation loss:1.727, accuracy:0.549
ep/it: 9-   2 niter:  3450  19m 51s (- 3285m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.5223  loss_TTT: 0.0707  acc: 0.5794  lr: 0.0002 
ep/it: 9-  52 niter:  3500  20m 7s (- 3282m 16s) completed:  0%) loss_emb: 0.0000  loss: 1.5128  loss_TTT: 0.0674  acc: 0.5820  lr: 0.0002 
ep/it: 9- 102 niter:  3550  20m 23s (- 3279m 48s) completed:  0%) loss_emb: 0.0000  loss: 1.4878  loss_TTT: 0.0705  acc: 0.5886  lr: 0.0002 
ep/it: 9- 152 niter:  3600  20m 40s (- 3278m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5234  loss_TTT: 0.0715  acc: 0.5806  lr: 0.0002 
ep/it: 9- 202 niter:  3650  20m 56s (- 3275m 36s) completed:  0%) loss_emb: 0.0000  loss: 1.5133  loss_TTT: 0.0703  acc: 0.5810  lr: 0.0002 
ep/it: 9- 252 niter:  3700  21m 13s (- 3274m 25s) completed:  0%) loss_emb: 0.0000  loss: 1.5325  loss_TTT: 0.0718  acc: 0.5773  lr: 0.0002 
ep/it: 9- 302 niter:  3750  21m 29s (- 3271m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.5074  loss_TTT: 0.0706  acc: 0.5831  lr: 0.0002 
ep/it: 9- 352 niter:  3800  21m 45s (- 3268m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5293  loss_TTT: 0.0674  acc: 0.5769  lr: 0.0002 
Validation time:
Validation loss:1.747, accuracy:0.541
ep/it:10-  19 niter:  3850  22m 5s (- 3275m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.5188  loss_TTT: 0.0695  acc: 0.5811  lr: 0.0002 
ep/it:10-  69 niter:  3900  22m 22s (- 3273m 5s) completed:  0%) loss_emb: 0.0000  loss: 1.4879  loss_TTT: 0.0681  acc: 0.5880  lr: 0.0002 
ep/it:10- 119 niter:  3950  22m 38s (- 3270m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5144  loss_TTT: 0.0729  acc: 0.5822  lr: 0.0002 
ep/it:10- 169 niter:  4000  22m 55s (- 3269m 50s) completed:  0%) loss_emb: 0.0000  loss: 1.4949  loss_TTT: 0.0687  acc: 0.5870  lr: 0.0002 
ep/it:10- 219 niter:  4050  23m 12s (- 3269m 46s) completed:  0%) loss_emb: 0.0000  loss: 1.5036  loss_TTT: 0.0693  acc: 0.5836  lr: 0.0002 
ep/it:10- 269 niter:  4100  23m 29s (- 3268m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.4982  loss_TTT: 0.0714  acc: 0.5851  lr: 0.0002 
ep/it:10- 319 niter:  4150  23m 45s (- 3265m 25s) completed:  0%) loss_emb: 0.0000  loss: 1.4831  loss_TTT: 0.0662  acc: 0.5885  lr: 0.0002 
ep/it:10- 369 niter:  4200  24m 1s (- 3263m 22s) completed:  0%) loss_emb: 0.0000  loss: 1.5311  loss_TTT: 0.0713  acc: 0.5768  lr: 0.0002 
Validation time:
Validation loss:1.744, accuracy:0.544
ep/it:11-  36 niter:  4250  24m 22s (- 3270m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.4995  loss_TTT: 0.0727  acc: 0.5847  lr: 0.0002 
ep/it:11-  86 niter:  4300  24m 38s (- 3268m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.5175  loss_TTT: 0.0693  acc: 0.5788  lr: 0.0002 
ep/it:11- 136 niter:  4350  24m 55s (- 3266m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.4978  loss_TTT: 0.0659  acc: 0.5866  lr: 0.0002 
ep/it:11- 186 niter:  4400  25m 11s (- 3263m 34s) completed:  0%) loss_emb: 0.0000  loss: 1.5400  loss_TTT: 0.0692  acc: 0.5749  lr: 0.0002 
ep/it:11- 236 niter:  4450  25m 27s (- 3261m 9s) completed:  0%) loss_emb: 0.0000  loss: 1.5209  loss_TTT: 0.0687  acc: 0.5785  lr: 0.0002 
ep/it:11- 286 niter:  4500  25m 44s (- 3259m 45s) completed:  0%) loss_emb: 0.0000  loss: 1.4802  loss_TTT: 0.0673  acc: 0.5891  lr: 0.0002 
ep/it:11- 336 niter:  4550  26m 1s (- 3259m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5090  loss_TTT: 0.0680  acc: 0.5833  lr: 0.0002 
Validation time:
Validation loss:1.699, accuracy:0.553
ep/it:12-   3 niter:  4600  26m 21s (- 3265m 55s) completed:  0%) loss_emb: 0.0000  loss: 1.4919  loss_TTT: 0.0674  acc: 0.5872  lr: 0.0002 
ep/it:12-  53 niter:  4650  26m 38s (- 3265m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.4981  loss_TTT: 0.0704  acc: 0.5841  lr: 0.0002 
ep/it:12- 103 niter:  4700  26m 55s (- 3263m 52s) completed:  0%) loss_emb: 0.0000  loss: 1.5115  loss_TTT: 0.0675  acc: 0.5812  lr: 0.0002 
ep/it:12- 153 niter:  4750  27m 11s (- 3261m 1s) completed:  0%) loss_emb: 0.0000  loss: 1.5052  loss_TTT: 0.0684  acc: 0.5834  lr: 0.0002 
ep/it:12- 203 niter:  4800  27m 27s (- 3259m 26s) completed:  0%) loss_emb: 0.0000  loss: 1.5382  loss_TTT: 0.0687  acc: 0.5757  lr: 0.0002 
ep/it:12- 253 niter:  4850  27m 44s (- 3257m 45s) completed:  0%) loss_emb: 0.0000  loss: 1.4861  loss_TTT: 0.0664  acc: 0.5882  lr: 0.0002 
ep/it:12- 303 niter:  4900  28m 0s (- 3255m 43s) completed:  0%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0683  acc: 0.5924  lr: 0.0002 
ep/it:12- 353 niter:  4950  28m 17s (- 3254m 36s) completed:  0%) loss_emb: 0.0000  loss: 1.5029  loss_TTT: 0.0686  acc: 0.5829  lr: 0.0002 
Validation time:
Validation loss:1.748, accuracy:0.544
ep/it:13-  20 niter:  5000  28m 37s (- 3259m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.4891  loss_TTT: 0.0667  acc: 0.5873  lr: 0.0002 
ep/it:13-  70 niter:  5050  28m 53s (- 3258m 45s) completed:  0%) loss_emb: 0.0000  loss: 1.4941  loss_TTT: 0.0663  acc: 0.5867  lr: 0.0002 
ep/it:13- 120 niter:  5100  29m 10s (- 3256m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.4916  loss_TTT: 0.0698  acc: 0.5864  lr: 0.0002 
ep/it:13- 170 niter:  5150  29m 26s (- 3255m 44s) completed:  0%) loss_emb: 0.0000  loss: 1.5058  loss_TTT: 0.0650  acc: 0.5830  lr: 0.0002 
ep/it:13- 220 niter:  5200  29m 43s (- 3254m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5181  loss_TTT: 0.0671  acc: 0.5798  lr: 0.0002 
ep/it:13- 270 niter:  5250  29m 59s (- 3252m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.4887  loss_TTT: 0.0664  acc: 0.5870  lr: 0.0002 
ep/it:13- 320 niter:  5300  30m 17s (- 3252m 25s) completed:  0%) loss_emb: 0.0000  loss: 1.5191  loss_TTT: 0.0718  acc: 0.5791  lr: 0.0002 
ep/it:13- 370 niter:  5350  30m 33s (- 3250m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.5210  loss_TTT: 0.0681  acc: 0.5781  lr: 0.0002 
Validation time:
Validation loss:1.699, accuracy:0.551
ep/it:14-  37 niter:  5400  30m 53s (- 3256m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5351  loss_TTT: 0.0693  acc: 0.5747  lr: 0.0002 
ep/it:14-  87 niter:  5450  31m 9s (- 3253m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5013  loss_TTT: 0.0649  acc: 0.5837  lr: 0.0002 
ep/it:14- 137 niter:  5500  31m 25s (- 3251m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.4867  loss_TTT: 0.0684  acc: 0.5878  lr: 0.0002 
ep/it:14- 187 niter:  5550  31m 42s (- 3251m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5350  loss_TTT: 0.0662  acc: 0.5758  lr: 0.0002 
ep/it:14- 237 niter:  5600  31m 59s (- 3250m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.4862  loss_TTT: 0.0672  acc: 0.5857  lr: 0.0002 
ep/it:14- 287 niter:  5650  32m 16s (- 3249m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5017  loss_TTT: 0.0661  acc: 0.5845  lr: 0.0002 
ep/it:14- 337 niter:  5700  32m 33s (- 3248m 42s) completed:  0%) loss_emb: 0.0000  loss: 1.5183  loss_TTT: 0.0701  acc: 0.5792  lr: 0.0002 
Validation time:
Validation loss:1.701, accuracy:0.555
ep/it:15-   4 niter:  5750  32m 54s (- 3254m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.5116  loss_TTT: 0.0665  acc: 0.5807  lr: 0.0002 
ep/it:15-  54 niter:  5800  33m 10s (- 3253m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.5037  loss_TTT: 0.0683  acc: 0.5827  lr: 0.0002 
ep/it:15- 104 niter:  5850  33m 27s (- 3251m 40s) completed:  1%) loss_emb: 0.0000  loss: 1.5085  loss_TTT: 0.0674  acc: 0.5816  lr: 0.0002 
ep/it:15- 154 niter:  5900  33m 44s (- 3251m 29s) completed:  1%) loss_emb: 0.0000  loss: 1.5228  loss_TTT: 0.0702  acc: 0.5776  lr: 0.0002 
ep/it:15- 204 niter:  5950  34m 1s (- 3250m 42s) completed:  1%) loss_emb: 0.0000  loss: 1.5176  loss_TTT: 0.0687  acc: 0.5801  lr: 0.0002 
ep/it:15- 254 niter:  6000  34m 18s (- 3250m 22s) completed:  1%) loss_emb: 0.0000  loss: 1.5260  loss_TTT: 0.0673  acc: 0.5761  lr: 0.0002 
ep/it:15- 304 niter:  6050  34m 35s (- 3250m 16s) completed:  1%) loss_emb: 0.0000  loss: 1.4621  loss_TTT: 0.0629  acc: 0.5922  lr: 0.0002 
ep/it:15- 354 niter:  6100  34m 52s (- 3249m 3s) completed:  1%) loss_emb: 0.0000  loss: 1.5128  loss_TTT: 0.0679  acc: 0.5807  lr: 0.0002 
Validation time:
Validation loss:1.736, accuracy:0.544
ep/it:16-  21 niter:  6150  35m 12s (- 3253m 42s) completed:  1%) loss_emb: 0.0000  loss: 1.5049  loss_TTT: 0.0668  acc: 0.5842  lr: 0.0002 
ep/it:16-  71 niter:  6200  35m 29s (- 3253m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4745  loss_TTT: 0.0669  acc: 0.5892  lr: 0.0002 
ep/it:16- 121 niter:  6250  35m 47s (- 3254m 5s) completed:  1%) loss_emb: 0.0000  loss: 1.5084  loss_TTT: 0.0663  acc: 0.5807  lr: 0.0002 
ep/it:16- 171 niter:  6300  36m 4s (- 3253m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.5130  loss_TTT: 0.0677  acc: 0.5773  lr: 0.0002 
ep/it:16- 221 niter:  6350  36m 21s (- 3253m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.5023  loss_TTT: 0.0668  acc: 0.5843  lr: 0.0002 
ep/it:16- 271 niter:  6400  36m 38s (- 3252m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.5091  loss_TTT: 0.0666  acc: 0.5811  lr: 0.0002 
ep/it:16- 321 niter:  6450  36m 55s (- 3251m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4884  loss_TTT: 0.0672  acc: 0.5870  lr: 0.0002 
ep/it:16- 371 niter:  6500  37m 12s (- 3250m 55s) completed:  1%) loss_emb: 0.0000  loss: 1.4652  loss_TTT: 0.0656  acc: 0.5914  lr: 0.0002 
Validation time:
Validation loss:1.675, accuracy:0.560
Improved accuracy from 0.56 to 0.5601364736971648!!!
ep/it:17-  38 niter:  6550  37m 33s (- 3256m 30s) completed:  1%) loss_emb: 0.0000  loss: 1.5010  loss_TTT: 0.0685  acc: 0.5836  lr: 0.0002 
ep/it:17-  88 niter:  6600  37m 50s (- 3256m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.4740  loss_TTT: 0.0658  acc: 0.5899  lr: 0.0002 
ep/it:17- 138 niter:  6650  38m 7s (- 3255m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.4959  loss_TTT: 0.0663  acc: 0.5846  lr: 0.0002 
ep/it:17- 188 niter:  6700  38m 24s (- 3254m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4966  loss_TTT: 0.0650  acc: 0.5844  lr: 0.0002 
ep/it:17- 238 niter:  6750  38m 41s (- 3254m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4572  loss_TTT: 0.0654  acc: 0.5939  lr: 0.0002 
ep/it:17- 288 niter:  6800  38m 58s (- 3254m 6s) completed:  1%) loss_emb: 0.0000  loss: 1.4927  loss_TTT: 0.0660  acc: 0.5854  lr: 0.0002 
ep/it:17- 338 niter:  6850  39m 15s (- 3252m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.5117  loss_TTT: 0.0638  acc: 0.5798  lr: 0.0002 
Validation time:
Validation loss:1.673, accuracy:0.555
ep/it:18-   5 niter:  6900  39m 35s (- 3256m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.5033  loss_TTT: 0.0653  acc: 0.5841  lr: 0.0002 
ep/it:18-  55 niter:  6950  39m 51s (- 3255m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.4899  loss_TTT: 0.0650  acc: 0.5857  lr: 0.0002 
ep/it:18- 105 niter:  7000  40m 8s (- 3253m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4938  loss_TTT: 0.0660  acc: 0.5837  lr: 0.0002 
ep/it:18- 155 niter:  7050  40m 25s (- 3253m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4842  loss_TTT: 0.0661  acc: 0.5869  lr: 0.0002 
ep/it:18- 205 niter:  7100  40m 41s (- 3251m 22s) completed:  1%) loss_emb: 0.0000  loss: 1.5066  loss_TTT: 0.0678  acc: 0.5828  lr: 0.0002 
ep/it:18- 255 niter:  7150  40m 57s (- 3250m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.5013  loss_TTT: 0.0659  acc: 0.5823  lr: 0.0002 
ep/it:18- 305 niter:  7200  41m 14s (- 3249m 22s) completed:  1%) loss_emb: 0.0000  loss: 1.5074  loss_TTT: 0.0664  acc: 0.5799  lr: 0.0002 
ep/it:18- 355 niter:  7250  41m 30s (- 3247m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4849  loss_TTT: 0.0658  acc: 0.5865  lr: 0.0002 
Validation time:
Validation loss:1.697, accuracy:0.556
ep/it:19-  22 niter:  7300  41m 51s (- 3252m 20s) completed:  1%) loss_emb: 0.0000  loss: 1.4961  loss_TTT: 0.0625  acc: 0.5832  lr: 0.0002 
ep/it:19-  72 niter:  7350  42m 8s (- 3251m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.5082  loss_TTT: 0.0672  acc: 0.5815  lr: 0.0002 
ep/it:19- 122 niter:  7400  42m 25s (- 3250m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4880  loss_TTT: 0.0670  acc: 0.5860  lr: 0.0002 
ep/it:19- 172 niter:  7450  42m 41s (- 3249m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4809  loss_TTT: 0.0669  acc: 0.5874  lr: 0.0002 
ep/it:19- 222 niter:  7500  42m 58s (- 3248m 20s) completed:  1%) loss_emb: 0.0000  loss: 1.4887  loss_TTT: 0.0656  acc: 0.5826  lr: 0.0002 
ep/it:19- 272 niter:  7550  43m 14s (- 3247m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.5179  loss_TTT: 0.0640  acc: 0.5770  lr: 0.0002 
ep/it:19- 322 niter:  7600  43m 31s (- 3246m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.4764  loss_TTT: 0.0651  acc: 0.5894  lr: 0.0002 
ep/it:19- 372 niter:  7650  43m 48s (- 3245m 31s) completed:  1%) loss_emb: 0.0000  loss: 1.4815  loss_TTT: 0.0656  acc: 0.5872  lr: 0.0002 
Validation time:
Validation loss:1.661, accuracy:0.561
Improved accuracy from 0.56 to 0.5613499776176785!!!
ep/it:20-  39 niter:  7700  44m 8s (- 3249m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4881  loss_TTT: 0.0640  acc: 0.5860  lr: 0.0002 
ep/it:20-  89 niter:  7750  44m 25s (- 3248m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.5098  loss_TTT: 0.0652  acc: 0.5787  lr: 0.0002 
ep/it:20- 139 niter:  7800  44m 42s (- 3247m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.4983  loss_TTT: 0.0658  acc: 0.5824  lr: 0.0002 
ep/it:20- 189 niter:  7850  44m 58s (- 3246m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.5182  loss_TTT: 0.0668  acc: 0.5777  lr: 0.0002 
ep/it:20- 239 niter:  7900  45m 14s (- 3244m 34s) completed:  1%) loss_emb: 0.0000  loss: 1.4913  loss_TTT: 0.0672  acc: 0.5843  lr: 0.0002 
ep/it:20- 289 niter:  7950  45m 30s (- 3243m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.5016  loss_TTT: 0.0650  acc: 0.5828  lr: 0.0002 
ep/it:20- 339 niter:  8000  45m 47s (- 3242m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4777  loss_TTT: 0.0652  acc: 0.5872  lr: 0.0002 
Validation time:
Validation loss:1.674, accuracy:0.557
ep/it:21-   6 niter:  8050  46m 8s (- 3246m 42s) completed:  1%) loss_emb: 0.0000  loss: 1.4802  loss_TTT: 0.0623  acc: 0.5871  lr: 0.0002 
ep/it:21-  56 niter:  8100  46m 24s (- 3245m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4905  loss_TTT: 0.0633  acc: 0.5851  lr: 0.0002 
ep/it:21- 106 niter:  8150  46m 41s (- 3244m 15s) completed:  1%) loss_emb: 0.0000  loss: 1.4895  loss_TTT: 0.0635  acc: 0.5857  lr: 0.0002 
ep/it:21- 156 niter:  8200  46m 57s (- 3242m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.4936  loss_TTT: 0.0657  acc: 0.5835  lr: 0.0002 
ep/it:21- 206 niter:  8250  47m 13s (- 3241m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4984  loss_TTT: 0.0627  acc: 0.5809  lr: 0.0002 
ep/it:21- 256 niter:  8300  47m 31s (- 3241m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.4976  loss_TTT: 0.0670  acc: 0.5829  lr: 0.0002 
ep/it:21- 306 niter:  8350  47m 46s (- 3239m 44s) completed:  1%) loss_emb: 0.0000  loss: 1.4591  loss_TTT: 0.0632  acc: 0.5912  lr: 0.0002 
ep/it:21- 356 niter:  8400  48m 3s (- 3238m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.5155  loss_TTT: 0.0655  acc: 0.5771  lr: 0.0002 
Validation time:
Validation loss:1.631, accuracy:0.569
Improved accuracy from 0.56 to 0.5688809571058854!!!
ep/it:22-  23 niter:  8450  48m 24s (- 3242m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4807  loss_TTT: 0.0642  acc: 0.5867  lr: 0.0002 
ep/it:22-  73 niter:  8500  48m 41s (- 3241m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4818  loss_TTT: 0.0644  acc: 0.5868  lr: 0.0002 
ep/it:22- 123 niter:  8550  48m 57s (- 3241m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.5110  loss_TTT: 0.0639  acc: 0.5796  lr: 0.0002 
ep/it:22- 173 niter:  8600  49m 14s (- 3240m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4803  loss_TTT: 0.0655  acc: 0.5872  lr: 0.0002 
ep/it:22- 223 niter:  8650  49m 31s (- 3239m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4933  loss_TTT: 0.0647  acc: 0.5840  lr: 0.0002 
ep/it:22- 273 niter:  8700  49m 48s (- 3239m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.5055  loss_TTT: 0.0637  acc: 0.5813  lr: 0.0002 
ep/it:22- 323 niter:  8750  50m 4s (- 3237m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4837  loss_TTT: 0.0618  acc: 0.5853  lr: 0.0002 
ep/it:22- 373 niter:  8800  50m 21s (- 3237m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.5157  loss_TTT: 0.0637  acc: 0.5762  lr: 0.0002 
Validation time:
Validation loss:1.695, accuracy:0.552
ep/it:23-  40 niter:  8850  50m 41s (- 3240m 1s) completed:  1%) loss_emb: 0.0000  loss: 1.4554  loss_TTT: 0.0635  acc: 0.5938  lr: 0.0002 
ep/it:23-  90 niter:  8900  50m 57s (- 3238m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.4789  loss_TTT: 0.0671  acc: 0.5881  lr: 0.0002 
ep/it:23- 140 niter:  8950  51m 14s (- 3238m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.4697  loss_TTT: 0.0654  acc: 0.5880  lr: 0.0002 
ep/it:23- 190 niter:  9000  51m 30s (- 3236m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4973  loss_TTT: 0.0634  acc: 0.5815  lr: 0.0002 
ep/it:23- 240 niter:  9050  51m 48s (- 3236m 36s) completed:  1%) loss_emb: 0.0000  loss: 1.5426  loss_TTT: 0.0667  acc: 0.5707  lr: 0.0002 
ep/it:23- 290 niter:  9100  52m 4s (- 3235m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.5118  loss_TTT: 0.0639  acc: 0.5789  lr: 0.0002 
ep/it:23- 340 niter:  9150  52m 21s (- 3234m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4937  loss_TTT: 0.0637  acc: 0.5842  lr: 0.0002 
Validation time:
Validation loss:1.714, accuracy:0.548
ep/it:24-   7 niter:  9200  52m 41s (- 3238m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4853  loss_TTT: 0.0637  acc: 0.5855  lr: 0.0002 
ep/it:24-  57 niter:  9250  52m 58s (- 3237m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4571  loss_TTT: 0.0624  acc: 0.5915  lr: 0.0002 
ep/it:24- 107 niter:  9300  53m 14s (- 3236m 6s) completed:  1%) loss_emb: 0.0000  loss: 1.5105  loss_TTT: 0.0631  acc: 0.5794  lr: 0.0002 
ep/it:24- 157 niter:  9350  53m 30s (- 3234m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.5053  loss_TTT: 0.0616  acc: 0.5799  lr: 0.0002 
ep/it:24- 207 niter:  9400  53m 47s (- 3233m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4872  loss_TTT: 0.0648  acc: 0.5836  lr: 0.0002 
ep/it:24- 257 niter:  9450  54m 3s (- 3232m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4850  loss_TTT: 0.0642  acc: 0.5857  lr: 0.0002 
ep/it:24- 307 niter:  9500  54m 19s (- 3231m 13s) completed:  1%) loss_emb: 0.0000  loss: 1.4922  loss_TTT: 0.0657  acc: 0.5843  lr: 0.0002 
ep/it:24- 357 niter:  9550  54m 36s (- 3230m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4813  loss_TTT: 0.0623  acc: 0.5869  lr: 0.0002 
Validation time:
Validation loss:1.685, accuracy:0.554
ep/it:25-  24 niter:  9600  54m 57s (- 3233m 40s) completed:  1%) loss_emb: 0.0000  loss: 1.5036  loss_TTT: 0.0636  acc: 0.5807  lr: 0.0002 
ep/it:25-  74 niter:  9650  55m 13s (- 3232m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4628  loss_TTT: 0.0641  acc: 0.5896  lr: 0.0002 
ep/it:25- 124 niter:  9700  55m 30s (- 3231m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.5052  loss_TTT: 0.0654  acc: 0.5800  lr: 0.0002 
ep/it:25- 174 niter:  9750  55m 46s (- 3230m 55s) completed:  1%) loss_emb: 0.0000  loss: 1.4847  loss_TTT: 0.0676  acc: 0.5863  lr: 0.0002 
ep/it:25- 224 niter:  9800  56m 2s (- 3229m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.4368  loss_TTT: 0.0643  acc: 0.5962  lr: 0.0002 
ep/it:25- 274 niter:  9850  56m 19s (- 3228m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.4778  loss_TTT: 0.0595  acc: 0.5886  lr: 0.0002 
ep/it:25- 324 niter:  9900  56m 35s (- 3227m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4617  loss_TTT: 0.0631  acc: 0.5916  lr: 0.0002 
ep/it:25- 374 niter:  9950  56m 51s (- 3226m 29s) completed:  1%) loss_emb: 0.0000  loss: 1.4769  loss_TTT: 0.0629  acc: 0.5871  lr: 0.0002 
Validation time:
Validation loss:1.667, accuracy:0.558
ep/it:26-  41 niter: 10000  57m 12s (- 3229m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0612  acc: 0.5904  lr: 0.0002 
ep/it:26-  91 niter: 10050  57m 29s (- 3228m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4933  loss_TTT: 0.0637  acc: 0.5835  lr: 0.0002 
ep/it:26- 141 niter: 10100  57m 45s (- 3227m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4482  loss_TTT: 0.0624  acc: 0.5940  lr: 0.0002 
ep/it:26- 191 niter: 10150  58m 2s (- 3227m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.4971  loss_TTT: 0.0625  acc: 0.5816  lr: 0.0002 
ep/it:26- 241 niter: 10200  58m 19s (- 3226m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4932  loss_TTT: 0.0638  acc: 0.5826  lr: 0.0002 
ep/it:26- 291 niter: 10250  58m 36s (- 3225m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4948  loss_TTT: 0.0642  acc: 0.5839  lr: 0.0002 
ep/it:26- 341 niter: 10300  58m 53s (- 3226m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4979  loss_TTT: 0.0646  acc: 0.5828  lr: 0.0002 
Validation time:
Validation loss:1.670, accuracy:0.557
ep/it:27-   8 niter: 10350  59m 14s (- 3228m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4512  loss_TTT: 0.0605  acc: 0.5935  lr: 0.0002 
ep/it:27-  58 niter: 10400  59m 31s (- 3228m 18s) completed:  1%) loss_emb: 0.0000  loss: 1.4815  loss_TTT: 0.0608  acc: 0.5859  lr: 0.0002 
ep/it:27- 108 niter: 10450  59m 47s (- 3227m 34s) completed:  1%) loss_emb: 0.0000  loss: 1.4767  loss_TTT: 0.0630  acc: 0.5869  lr: 0.0002 
ep/it:27- 158 niter: 10500  60m 4s (- 3226m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4720  loss_TTT: 0.0634  acc: 0.5889  lr: 0.0002 
ep/it:27- 208 niter: 10550  60m 21s (- 3226m 52s) completed:  1%) loss_emb: 0.0000  loss: 1.4955  loss_TTT: 0.0652  acc: 0.5814  lr: 0.0002 
ep/it:27- 258 niter: 10600  60m 38s (- 3226m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4976  loss_TTT: 0.0637  acc: 0.5804  lr: 0.0002 
ep/it:27- 308 niter: 10650  60m 55s (- 3225m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4829  loss_TTT: 0.0624  acc: 0.5848  lr: 0.0002 
ep/it:27- 358 niter: 10700  61m 12s (- 3225m 13s) completed:  1%) loss_emb: 0.0000  loss: 1.4876  loss_TTT: 0.0647  acc: 0.5827  lr: 0.0002 
Validation time:
Validation loss:1.731, accuracy:0.547
ep/it:28-  25 niter: 10750  61m 32s (- 3227m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.4946  loss_TTT: 0.0664  acc: 0.5827  lr: 0.0002 
ep/it:28-  75 niter: 10800  61m 48s (- 3226m 22s) completed:  1%) loss_emb: 0.0000  loss: 1.5045  loss_TTT: 0.0605  acc: 0.5796  lr: 0.0002 
ep/it:28- 125 niter: 10850  62m 5s (- 3225m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.4764  loss_TTT: 0.0636  acc: 0.5864  lr: 0.0002 
ep/it:28- 175 niter: 10900  62m 21s (- 3224m 7s) completed:  1%) loss_emb: 0.0000  loss: 1.4723  loss_TTT: 0.0647  acc: 0.5861  lr: 0.0002 
ep/it:28- 225 niter: 10950  62m 37s (- 3223m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.4627  loss_TTT: 0.0644  acc: 0.5917  lr: 0.0002 
ep/it:28- 275 niter: 11000  62m 54s (- 3222m 29s) completed:  1%) loss_emb: 0.0000  loss: 1.4742  loss_TTT: 0.0632  acc: 0.5882  lr: 0.0002 
ep/it:28- 325 niter: 11050  63m 11s (- 3222m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4913  loss_TTT: 0.0652  acc: 0.5843  lr: 0.0002 
ep/it:28- 375 niter: 11100  63m 27s (- 3221m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4716  loss_TTT: 0.0650  acc: 0.5895  lr: 0.0002 
Validation time:
Validation loss:1.706, accuracy:0.550
ep/it:29-  42 niter: 11150  63m 48s (- 3224m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4872  loss_TTT: 0.0622  acc: 0.5841  lr: 0.0002 
ep/it:29-  92 niter: 11200  64m 4s (- 3223m 1s) completed:  1%) loss_emb: 0.0000  loss: 1.4954  loss_TTT: 0.0623  acc: 0.5819  lr: 0.0002 
ep/it:29- 142 niter: 11250  64m 21s (- 3222m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4918  loss_TTT: 0.0617  acc: 0.5822  lr: 0.0002 
ep/it:29- 192 niter: 11300  64m 38s (- 3221m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4868  loss_TTT: 0.0673  acc: 0.5854  lr: 0.0002 
ep/it:29- 242 niter: 11350  64m 55s (- 3220m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.4801  loss_TTT: 0.0617  acc: 0.5872  lr: 0.0002 
ep/it:29- 292 niter: 11400  65m 11s (- 3220m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.4574  loss_TTT: 0.0640  acc: 0.5929  lr: 0.0002 
ep/it:29- 342 niter: 11450  65m 28s (- 3219m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.4898  loss_TTT: 0.0637  acc: 0.5856  lr: 0.0002 
Validation time:
Validation loss:1.722, accuracy:0.544
ep/it:30-   9 niter: 11500  65m 49s (- 3222m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4958  loss_TTT: 0.0619  acc: 0.5813  lr: 0.0002 
ep/it:30-  59 niter: 11550  66m 5s (- 3221m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.5096  loss_TTT: 0.0654  acc: 0.5791  lr: 0.0002 
ep/it:30- 109 niter: 11600  66m 22s (- 3220m 47s) completed:  2%) loss_emb: 0.0000  loss: 1.4505  loss_TTT: 0.0610  acc: 0.5934  lr: 0.0002 
ep/it:30- 159 niter: 11650  66m 39s (- 3220m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.5152  loss_TTT: 0.0652  acc: 0.5770  lr: 0.0002 
ep/it:30- 209 niter: 11700  66m 56s (- 3219m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.4722  loss_TTT: 0.0624  acc: 0.5885  lr: 0.0002 
ep/it:30- 259 niter: 11750  67m 12s (- 3218m 51s) completed:  2%) loss_emb: 0.0000  loss: 1.4760  loss_TTT: 0.0665  acc: 0.5876  lr: 0.0002 
ep/it:30- 309 niter: 11800  67m 29s (- 3218m 21s) completed:  2%) loss_emb: 0.0000  loss: 1.4883  loss_TTT: 0.0638  acc: 0.5852  lr: 0.0002 
ep/it:30- 359 niter: 11850  67m 45s (- 3217m 36s) completed:  2%) loss_emb: 0.0000  loss: 1.4887  loss_TTT: 0.0615  acc: 0.5816  lr: 0.0002 
Validation time:
Validation loss:1.629, accuracy:0.566
ep/it:31-  26 niter: 11900  68m 6s (- 3219m 55s) completed:  2%) loss_emb: 0.0000  loss: 1.4957  loss_TTT: 0.0630  acc: 0.5820  lr: 0.0002 
ep/it:31-  76 niter: 11950  68m 23s (- 3219m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4867  loss_TTT: 0.0616  acc: 0.5831  lr: 0.0002 
ep/it:31- 126 niter: 12000  68m 39s (- 3218m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4513  loss_TTT: 0.0609  acc: 0.5918  lr: 0.0002 
ep/it:31- 176 niter: 12050  68m 57s (- 3218m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.4699  loss_TTT: 0.0613  acc: 0.5891  lr: 0.0002 
ep/it:31- 226 niter: 12100  69m 14s (- 3218m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4769  loss_TTT: 0.0601  acc: 0.5848  lr: 0.0002 
ep/it:31- 276 niter: 12150  69m 30s (- 3217m 21s) completed:  2%) loss_emb: 0.0000  loss: 1.4764  loss_TTT: 0.0626  acc: 0.5895  lr: 0.0002 
ep/it:31- 326 niter: 12200  69m 48s (- 3217m 8s) completed:  2%) loss_emb: 0.0000  loss: 1.4747  loss_TTT: 0.0626  acc: 0.5868  lr: 0.0002 
ep/it:31- 376 niter: 12250  70m 4s (- 3216m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4742  loss_TTT: 0.0643  acc: 0.5879  lr: 0.0002 
Validation time:
Validation loss:1.695, accuracy:0.551
ep/it:32-  43 niter: 12300  70m 24s (- 3218m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4911  loss_TTT: 0.0631  acc: 0.5834  lr: 0.0002 
ep/it:32-  93 niter: 12350  70m 41s (- 3217m 54s) completed:  2%) loss_emb: 0.0000  loss: 1.4858  loss_TTT: 0.0626  acc: 0.5838  lr: 0.0002 
ep/it:32- 143 niter: 12400  70m 58s (- 3217m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4991  loss_TTT: 0.0611  acc: 0.5809  lr: 0.0002 
ep/it:32- 193 niter: 12450  71m 15s (- 3216m 48s) completed:  2%) loss_emb: 0.0000  loss: 1.4801  loss_TTT: 0.0643  acc: 0.5870  lr: 0.0002 
ep/it:32- 243 niter: 12500  71m 31s (- 3215m 55s) completed:  2%) loss_emb: 0.0000  loss: 1.4662  loss_TTT: 0.0619  acc: 0.5894  lr: 0.0002 
ep/it:32- 293 niter: 12550  71m 48s (- 3215m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4719  loss_TTT: 0.0619  acc: 0.5883  lr: 0.0002 
ep/it:32- 343 niter: 12600  72m 4s (- 3214m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.4772  loss_TTT: 0.0625  acc: 0.5866  lr: 0.0002 
Validation time:
Validation loss:1.655, accuracy:0.559
ep/it:33-  10 niter: 12650  72m 25s (- 3216m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4496  loss_TTT: 0.0628  acc: 0.5938  lr: 0.0002 
ep/it:33-  60 niter: 12700  72m 41s (- 3215m 38s) completed:  2%) loss_emb: 0.0000  loss: 1.5073  loss_TTT: 0.0598  acc: 0.5786  lr: 0.0002 
ep/it:33- 110 niter: 12750  72m 58s (- 3215m 7s) completed:  2%) loss_emb: 0.0000  loss: 1.4866  loss_TTT: 0.0626  acc: 0.5836  lr: 0.0002 
ep/it:33- 160 niter: 12800  73m 14s (- 3214m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4751  loss_TTT: 0.0599  acc: 0.5866  lr: 0.0002 
ep/it:33- 210 niter: 12850  73m 30s (- 3213m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0660  acc: 0.5884  lr: 0.0002 
ep/it:33- 260 niter: 12900  73m 47s (- 3212m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.5218  loss_TTT: 0.0647  acc: 0.5738  lr: 0.0002 
ep/it:33- 310 niter: 12950  74m 3s (- 3211m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4823  loss_TTT: 0.0646  acc: 0.5855  lr: 0.0002 
ep/it:33- 360 niter: 13000  74m 20s (- 3210m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4597  loss_TTT: 0.0601  acc: 0.5902  lr: 0.0002 
Validation time:
Validation loss:1.684, accuracy:0.555
ep/it:34-  27 niter: 13050  74m 40s (- 3212m 54s) completed:  2%) loss_emb: 0.0000  loss: 1.4914  loss_TTT: 0.0677  acc: 0.5824  lr: 0.0002 
ep/it:34-  77 niter: 13100  74m 56s (- 3211m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4984  loss_TTT: 0.0629  acc: 0.5823  lr: 0.0002 
ep/it:34- 127 niter: 13150  75m 14s (- 3211m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4809  loss_TTT: 0.0652  acc: 0.5860  lr: 0.0002 
ep/it:34- 177 niter: 13200  75m 30s (- 3211m 6s) completed:  2%) loss_emb: 0.0000  loss: 1.4804  loss_TTT: 0.0630  acc: 0.5850  lr: 0.0002 
ep/it:34- 227 niter: 13250  75m 47s (- 3210m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.5006  loss_TTT: 0.0624  acc: 0.5792  lr: 0.0002 
ep/it:34- 277 niter: 13300  76m 3s (- 3209m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0640  acc: 0.5914  lr: 0.0002 
ep/it:34- 327 niter: 13350  76m 20s (- 3208m 55s) completed:  2%) loss_emb: 0.0000  loss: 1.4879  loss_TTT: 0.0625  acc: 0.5820  lr: 0.0002 
ep/it:34- 377 niter: 13400  76m 36s (- 3208m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.5226  loss_TTT: 0.0651  acc: 0.5763  lr: 0.0002 
Validation time:
Validation loss:1.716, accuracy:0.543
ep/it:35-  44 niter: 13450  76m 56s (- 3209m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4756  loss_TTT: 0.0635  acc: 0.5864  lr: 0.0002 
ep/it:35-  94 niter: 13500  77m 13s (- 3209m 10s) completed:  2%) loss_emb: 0.0000  loss: 1.4958  loss_TTT: 0.0644  acc: 0.5826  lr: 0.0002 
ep/it:35- 144 niter: 13550  77m 30s (- 3208m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4666  loss_TTT: 0.0608  acc: 0.5901  lr: 0.0002 
ep/it:35- 194 niter: 13600  77m 46s (- 3207m 53s) completed:  2%) loss_emb: 0.0000  loss: 1.4738  loss_TTT: 0.0641  acc: 0.5860  lr: 0.0002 
ep/it:35- 244 niter: 13650  78m 4s (- 3207m 54s) completed:  2%) loss_emb: 0.0000  loss: 1.4615  loss_TTT: 0.0620  acc: 0.5901  lr: 0.0002 
ep/it:35- 294 niter: 13700  78m 21s (- 3207m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0600  acc: 0.5895  lr: 0.0002 
ep/it:35- 344 niter: 13750  78m 37s (- 3206m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4658  loss_TTT: 0.0624  acc: 0.5888  lr: 0.0002 
Validation time:
Validation loss:1.720, accuracy:0.545
ep/it:36-  11 niter: 13800  78m 58s (- 3208m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4690  loss_TTT: 0.0607  acc: 0.5864  lr: 0.0002 
ep/it:36-  61 niter: 13850  79m 15s (- 3208m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.4920  loss_TTT: 0.0637  acc: 0.5832  lr: 0.0002 
ep/it:36- 111 niter: 13900  79m 31s (- 3207m 23s) completed:  2%) loss_emb: 0.0000  loss: 1.4833  loss_TTT: 0.0632  acc: 0.5852  lr: 0.0002 
ep/it:36- 161 niter: 13950  79m 48s (- 3206m 57s) completed:  2%) loss_emb: 0.0000  loss: 1.4853  loss_TTT: 0.0624  acc: 0.5849  lr: 0.0002 
ep/it:36- 211 niter: 14000  80m 5s (- 3206m 20s) completed:  2%) loss_emb: 0.0000  loss: 1.4991  loss_TTT: 0.0618  acc: 0.5783  lr: 0.0002 
ep/it:36- 261 niter: 14050  80m 21s (- 3205m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.4564  loss_TTT: 0.0626  acc: 0.5899  lr: 0.0002 
ep/it:36- 311 niter: 14100  80m 38s (- 3204m 56s) completed:  2%) loss_emb: 0.0000  loss: 1.4829  loss_TTT: 0.0626  acc: 0.5841  lr: 0.0002 
ep/it:36- 361 niter: 14150  80m 55s (- 3204m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4812  loss_TTT: 0.0615  acc: 0.5863  lr: 0.0002 
Validation time:
Validation loss:1.641, accuracy:0.565
ep/it:37-  28 niter: 14200  81m 15s (- 3206m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.4936  loss_TTT: 0.0619  acc: 0.5814  lr: 0.0002 
ep/it:37-  78 niter: 14250  81m 32s (- 3205m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4874  loss_TTT: 0.0618  acc: 0.5834  lr: 0.0002 
ep/it:37- 128 niter: 14300  81m 48s (- 3204m 55s) completed:  2%) loss_emb: 0.0000  loss: 1.4511  loss_TTT: 0.0630  acc: 0.5931  lr: 0.0002 
ep/it:37- 178 niter: 14350  82m 5s (- 3204m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.4653  loss_TTT: 0.0612  acc: 0.5883  lr: 0.0002 
ep/it:37- 228 niter: 14400  82m 22s (- 3203m 46s) completed:  2%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0622  acc: 0.5921  lr: 0.0002 
ep/it:37- 278 niter: 14450  82m 38s (- 3203m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4762  loss_TTT: 0.0621  acc: 0.5870  lr: 0.0002 
ep/it:37- 328 niter: 14500  82m 55s (- 3202m 23s) completed:  2%) loss_emb: 0.0000  loss: 1.4794  loss_TTT: 0.0653  acc: 0.5852  lr: 0.0002 
ep/it:37- 378 niter: 14550  83m 11s (- 3201m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4797  loss_TTT: 0.0619  acc: 0.5854  lr: 0.0002 
Validation time:
Validation loss:1.654, accuracy:0.559
ep/it:38-  45 niter: 14600  83m 32s (- 3203m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4697  loss_TTT: 0.0609  acc: 0.5883  lr: 0.0002 
ep/it:38-  95 niter: 14650  83m 48s (- 3202m 46s) completed:  2%) loss_emb: 0.0000  loss: 1.4910  loss_TTT: 0.0660  acc: 0.5827  lr: 0.0002 
ep/it:38- 145 niter: 14700  84m 5s (- 3202m 10s) completed:  2%) loss_emb: 0.0000  loss: 1.4402  loss_TTT: 0.0594  acc: 0.5941  lr: 0.0002 
ep/it:38- 195 niter: 14750  84m 21s (- 3201m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4962  loss_TTT: 0.0617  acc: 0.5815  lr: 0.0002 
ep/it:38- 245 niter: 14800  84m 38s (- 3200m 59s) completed:  2%) loss_emb: 0.0000  loss: 1.4660  loss_TTT: 0.0606  acc: 0.5883  lr: 0.0002 
ep/it:38- 295 niter: 14850  84m 55s (- 3200m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4451  loss_TTT: 0.0575  acc: 0.5934  lr: 0.0002 
ep/it:38- 345 niter: 14900  85m 12s (- 3200m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.4790  loss_TTT: 0.0615  acc: 0.5865  lr: 0.0002 
Validation time:
Validation loss:1.732, accuracy:0.541
ep/it:39-  12 niter: 14950  85m 32s (- 3201m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4509  loss_TTT: 0.0607  acc: 0.5903  lr: 0.0002 
ep/it:39-  62 niter: 15000  85m 49s (- 3201m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4905  loss_TTT: 0.0634  acc: 0.5831  lr: 0.0002 
ep/it:39- 112 niter: 15050  86m 6s (- 3200m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4773  loss_TTT: 0.0591  acc: 0.5851  lr: 0.0002 
ep/it:39- 162 niter: 15100  86m 23s (- 3200m 21s) completed:  2%) loss_emb: 0.0000  loss: 1.4336  loss_TTT: 0.0605  acc: 0.5971  lr: 0.0002 
ep/it:39- 212 niter: 15150  86m 39s (- 3199m 14s) completed:  2%) loss_emb: 0.0000  loss: 1.4633  loss_TTT: 0.0618  acc: 0.5894  lr: 0.0002 
ep/it:39- 262 niter: 15200  86m 55s (- 3198m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4719  loss_TTT: 0.0617  acc: 0.5862  lr: 0.0002 
ep/it:39- 312 niter: 15250  87m 12s (- 3197m 54s) completed:  2%) loss_emb: 0.0000  loss: 1.4865  loss_TTT: 0.0627  acc: 0.5838  lr: 0.0002 
ep/it:39- 362 niter: 15300  87m 28s (- 3197m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4909  loss_TTT: 0.0629  acc: 0.5808  lr: 0.0002 
Validation time:
Validation loss:1.627, accuracy:0.564
ep/it:40-  29 niter: 15350  87m 49s (- 3198m 54s) completed:  2%) loss_emb: 0.0000  loss: 1.4998  loss_TTT: 0.0616  acc: 0.5794  lr: 0.0002 
ep/it:40-  79 niter: 15400  88m 5s (- 3198m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4805  loss_TTT: 0.0645  acc: 0.5850  lr: 0.0002 
ep/it:40- 129 niter: 15450  88m 21s (- 3197m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4453  loss_TTT: 0.0617  acc: 0.5941  lr: 0.0002 
ep/it:40- 179 niter: 15500  88m 38s (- 3196m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4695  loss_TTT: 0.0620  acc: 0.5877  lr: 0.0002 
ep/it:40- 229 niter: 15550  88m 55s (- 3196m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.4741  loss_TTT: 0.0617  acc: 0.5875  lr: 0.0002 
ep/it:40- 279 niter: 15600  89m 11s (- 3195m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4696  loss_TTT: 0.0604  acc: 0.5870  lr: 0.0002 
ep/it:40- 329 niter: 15650  89m 27s (- 3194m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4743  loss_TTT: 0.0609  acc: 0.5854  lr: 0.0002 
ep/it:40- 379 niter: 15700  89m 44s (- 3193m 58s) completed:  2%) loss_emb: 0.0000  loss: 1.5056  loss_TTT: 0.0615  acc: 0.5786  lr: 0.0002 
Validation time:
Validation loss:1.660, accuracy:0.559
ep/it:41-  46 niter: 15750  90m 4s (- 3195m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4405  loss_TTT: 0.0628  acc: 0.5951  lr: 0.0002 
ep/it:41-  96 niter: 15800  90m 20s (- 3194m 48s) completed:  2%) loss_emb: 0.0000  loss: 1.4601  loss_TTT: 0.0608  acc: 0.5887  lr: 0.0002 
ep/it:41- 146 niter: 15850  90m 37s (- 3194m 10s) completed:  2%) loss_emb: 0.0000  loss: 1.4800  loss_TTT: 0.0618  acc: 0.5853  lr: 0.0002 
ep/it:41- 196 niter: 15900  90m 54s (- 3193m 33s) completed:  2%) loss_emb: 0.0000  loss: 1.4750  loss_TTT: 0.0601  acc: 0.5844  lr: 0.0002 
ep/it:41- 246 niter: 15950  91m 11s (- 3193m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.5060  loss_TTT: 0.0657  acc: 0.5794  lr: 0.0002 
ep/it:41- 296 niter: 16000  91m 28s (- 3192m 57s) completed:  2%) loss_emb: 0.0000  loss: 1.4853  loss_TTT: 0.0599  acc: 0.5818  lr: 0.0002 
ep/it:41- 346 niter: 16050  91m 45s (- 3192m 33s) completed:  2%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0596  acc: 0.5894  lr: 0.0002 
Validation time:
Validation loss:1.664, accuracy:0.554
ep/it:42-  13 niter: 16100  92m 5s (- 3194m 10s) completed:  2%) loss_emb: 0.0000  loss: 1.4498  loss_TTT: 0.0597  acc: 0.5935  lr: 0.0002 
ep/it:42-  63 niter: 16150  92m 22s (- 3193m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.4932  loss_TTT: 0.0616  acc: 0.5806  lr: 0.0002 
ep/it:42- 113 niter: 16200  92m 39s (- 3193m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.4527  loss_TTT: 0.0629  acc: 0.5913  lr: 0.0002 
ep/it:42- 163 niter: 16250  92m 55s (- 3192m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4852  loss_TTT: 0.0646  acc: 0.5835  lr: 0.0002 
ep/it:42- 213 niter: 16300  93m 13s (- 3192m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4867  loss_TTT: 0.0609  acc: 0.5827  lr: 0.0002 
ep/it:42- 263 niter: 16350  93m 29s (- 3191m 33s) completed:  2%) loss_emb: 0.0000  loss: 1.4789  loss_TTT: 0.0641  acc: 0.5848  lr: 0.0002 
ep/it:42- 313 niter: 16400  93m 46s (- 3191m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.4742  loss_TTT: 0.0600  acc: 0.5867  lr: 0.0002 
ep/it:42- 363 niter: 16450  94m 3s (- 3190m 46s) completed:  2%) loss_emb: 0.0000  loss: 1.5098  loss_TTT: 0.0640  acc: 0.5772  lr: 0.0002 
Validation time:
Validation loss:1.711, accuracy:0.544
ep/it:43-  30 niter: 16500  94m 24s (- 3192m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4729  loss_TTT: 0.0644  acc: 0.5874  lr: 0.0002 
ep/it:43-  80 niter: 16550  94m 41s (- 3192m 14s) completed:  2%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0618  acc: 0.5958  lr: 0.0002 
ep/it:43- 130 niter: 16600  94m 58s (- 3191m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.5067  loss_TTT: 0.0639  acc: 0.5782  lr: 0.0002 
ep/it:43- 180 niter: 16650  95m 14s (- 3191m 5s) completed:  2%) loss_emb: 0.0000  loss: 1.4699  loss_TTT: 0.0611  acc: 0.5871  lr: 0.0002 
ep/it:43- 230 niter: 16700  95m 31s (- 3190m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4458  loss_TTT: 0.0614  acc: 0.5941  lr: 0.0002 
ep/it:43- 280 niter: 16750  95m 47s (- 3189m 48s) completed:  2%) loss_emb: 0.0000  loss: 1.4615  loss_TTT: 0.0616  acc: 0.5885  lr: 0.0002 
ep/it:43- 330 niter: 16800  96m 4s (- 3189m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4794  loss_TTT: 0.0606  acc: 0.5849  lr: 0.0002 
ep/it:43- 380 niter: 16850  96m 21s (- 3188m 48s) completed:  2%) loss_emb: 0.0000  loss: 1.4445  loss_TTT: 0.0620  acc: 0.5942  lr: 0.0002 
Validation time:
Validation loss:1.685, accuracy:0.552
ep/it:44-  47 niter: 16900  96m 42s (- 3190m 43s) completed:  2%) loss_emb: 0.0000  loss: 1.4676  loss_TTT: 0.0594  acc: 0.5865  lr: 0.0002 
ep/it:44-  97 niter: 16950  96m 59s (- 3190m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0595  acc: 0.5905  lr: 0.0002 
ep/it:44- 147 niter: 17000  97m 15s (- 3189m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4847  loss_TTT: 0.0629  acc: 0.5845  lr: 0.0002 
ep/it:44- 197 niter: 17050  97m 32s (- 3189m 7s) completed:  2%) loss_emb: 0.0000  loss: 1.4774  loss_TTT: 0.0626  acc: 0.5852  lr: 0.0002 
ep/it:44- 247 niter: 17100  97m 49s (- 3188m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4810  loss_TTT: 0.0628  acc: 0.5835  lr: 0.0002 
ep/it:44- 297 niter: 17150  98m 5s (- 3187m 51s) completed:  2%) loss_emb: 0.0000  loss: 1.5071  loss_TTT: 0.0623  acc: 0.5782  lr: 0.0002 
ep/it:44- 347 niter: 17200  98m 22s (- 3187m 23s) completed:  2%) loss_emb: 0.0000  loss: 1.4441  loss_TTT: 0.0615  acc: 0.5943  lr: 0.0002 
Validation time:
Validation loss:1.678, accuracy:0.551
ep/it:45-  14 niter: 17250  98m 42s (- 3188m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.4899  loss_TTT: 0.0642  acc: 0.5825  lr: 0.0002 
ep/it:45-  64 niter: 17300  98m 58s (- 3187m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.4570  loss_TTT: 0.0615  acc: 0.5914  lr: 0.0002 
ep/it:45- 114 niter: 17350  99m 14s (- 3186m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.4749  loss_TTT: 0.0587  acc: 0.5855  lr: 0.0002 
ep/it:45- 164 niter: 17400  99m 30s (- 3186m 11s) completed:  3%) loss_emb: 0.0000  loss: 1.4844  loss_TTT: 0.0627  acc: 0.5840  lr: 0.0002 
ep/it:45- 214 niter: 17450  99m 47s (- 3185m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.5057  loss_TTT: 0.0628  acc: 0.5783  lr: 0.0002 
ep/it:45- 264 niter: 17500  100m 3s (- 3184m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4417  loss_TTT: 0.0615  acc: 0.5942  lr: 0.0002 
ep/it:45- 314 niter: 17550  100m 20s (- 3184m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.4363  loss_TTT: 0.0591  acc: 0.5934  lr: 0.0002 
ep/it:45- 364 niter: 17600  100m 36s (- 3183m 40s) completed:  3%) loss_emb: 0.0000  loss: 1.4546  loss_TTT: 0.0609  acc: 0.5909  lr: 0.0002 
Validation time:
Validation loss:1.660, accuracy:0.558
ep/it:46-  31 niter: 17650  100m 57s (- 3184m 57s) completed:  3%) loss_emb: 0.0000  loss: 1.4899  loss_TTT: 0.0594  acc: 0.5808  lr: 0.0002 
ep/it:46-  81 niter: 17700  101m 13s (- 3184m 25s) completed:  3%) loss_emb: 0.0000  loss: 1.4907  loss_TTT: 0.0619  acc: 0.5828  lr: 0.0002 
ep/it:46- 131 niter: 17750  101m 30s (- 3184m 5s) completed:  3%) loss_emb: 0.0000  loss: 1.4885  loss_TTT: 0.0614  acc: 0.5820  lr: 0.0002 
ep/it:46- 181 niter: 17800  101m 47s (- 3183m 31s) completed:  3%) loss_emb: 0.0000  loss: 1.4701  loss_TTT: 0.0623  acc: 0.5868  lr: 0.0002 
ep/it:46- 231 niter: 17850  102m 4s (- 3183m 3s) completed:  3%) loss_emb: 0.0000  loss: 1.4961  loss_TTT: 0.0617  acc: 0.5811  lr: 0.0002 
ep/it:46- 281 niter: 17900  102m 21s (- 3182m 46s) completed:  3%) loss_emb: 0.0000  loss: 1.5043  loss_TTT: 0.0640  acc: 0.5779  lr: 0.0002 
ep/it:46- 331 niter: 17950  102m 38s (- 3182m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.4562  loss_TTT: 0.0597  acc: 0.5915  lr: 0.0002 
ep/it:46- 381 niter: 18000  102m 54s (- 3181m 41s) completed:  3%) loss_emb: 0.0000  loss: 1.4500  loss_TTT: 0.0611  acc: 0.5915  lr: 0.0002 
Validation time:
Validation loss:1.678, accuracy:0.553
ep/it:47-  48 niter: 18050  103m 14s (- 3182m 55s) completed:  3%) loss_emb: 0.0000  loss: 1.4983  loss_TTT: 0.0623  acc: 0.5807  lr: 0.0002 
ep/it:47-  98 niter: 18100  103m 30s (- 3182m 3s) completed:  3%) loss_emb: 0.0000  loss: 1.4674  loss_TTT: 0.0627  acc: 0.5871  lr: 0.0002 
ep/it:47- 148 niter: 18150  103m 47s (- 3181m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.4714  loss_TTT: 0.0609  acc: 0.5866  lr: 0.0002 
ep/it:47- 198 niter: 18200  104m 3s (- 3180m 40s) completed:  3%) loss_emb: 0.0000  loss: 1.4594  loss_TTT: 0.0574  acc: 0.5907  lr: 0.0002 
ep/it:47- 248 niter: 18250  104m 19s (- 3179m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4762  loss_TTT: 0.0592  acc: 0.5850  lr: 0.0002 
ep/it:47- 298 niter: 18300  104m 36s (- 3179m 27s) completed:  3%) loss_emb: 0.0000  loss: 1.4580  loss_TTT: 0.0610  acc: 0.5899  lr: 0.0002 
ep/it:47- 348 niter: 18350  104m 52s (- 3178m 45s) completed:  3%) loss_emb: 0.0000  loss: 1.4552  loss_TTT: 0.0615  acc: 0.5898  lr: 0.0002 
Validation time:
Validation loss:1.706, accuracy:0.548
ep/it:48-  15 niter: 18400  105m 12s (- 3179m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4870  loss_TTT: 0.0612  acc: 0.5825  lr: 0.0002 
ep/it:48-  65 niter: 18450  105m 29s (- 3179m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.4730  loss_TTT: 0.0613  acc: 0.5842  lr: 0.0002 
ep/it:48- 115 niter: 18500  105m 45s (- 3178m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4437  loss_TTT: 0.0629  acc: 0.5935  lr: 0.0002 
ep/it:48- 165 niter: 18550  106m 3s (- 3178m 27s) completed:  3%) loss_emb: 0.0000  loss: 1.4881  loss_TTT: 0.0608  acc: 0.5813  lr: 0.0002 
ep/it:48- 215 niter: 18600  106m 19s (- 3177m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.4629  loss_TTT: 0.0633  acc: 0.5895  lr: 0.0002 
ep/it:48- 265 niter: 18650  106m 36s (- 3177m 17s) completed:  3%) loss_emb: 0.0000  loss: 1.4975  loss_TTT: 0.0628  acc: 0.5814  lr: 0.0002 
ep/it:48- 315 niter: 18700  106m 53s (- 3176m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0615  acc: 0.5889  lr: 0.0002 
ep/it:48- 365 niter: 18750  107m 9s (- 3176m 5s) completed:  3%) loss_emb: 0.0000  loss: 1.4840  loss_TTT: 0.0621  acc: 0.5822  lr: 0.0002 
Validation time:
Validation loss:1.637, accuracy:0.564
ep/it:49-  32 niter: 18800  107m 29s (- 3177m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0573  acc: 0.5926  lr: 0.0002 
ep/it:49-  82 niter: 18850  107m 46s (- 3176m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.4685  loss_TTT: 0.0598  acc: 0.5869  lr: 0.0002 
ep/it:49- 132 niter: 18900  108m 3s (- 3176m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.4423  loss_TTT: 0.0599  acc: 0.5946  lr: 0.0002 
ep/it:49- 182 niter: 18950  108m 19s (- 3175m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0592  acc: 0.5918  lr: 0.0002 
ep/it:49- 232 niter: 19000  108m 35s (- 3175m 4s) completed:  3%) loss_emb: 0.0000  loss: 1.4880  loss_TTT: 0.0593  acc: 0.5829  lr: 0.0002 
ep/it:49- 282 niter: 19050  108m 52s (- 3174m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.4711  loss_TTT: 0.0627  acc: 0.5880  lr: 0.0002 
ep/it:49- 332 niter: 19100  109m 9s (- 3174m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.4451  loss_TTT: 0.0596  acc: 0.5924  lr: 0.0002 
ep/it:49- 382 niter: 19150  109m 26s (- 3173m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.4672  loss_TTT: 0.0610  acc: 0.5880  lr: 0.0002 
Validation time:
Validation loss:1.613, accuracy:0.568
ep/it:50-  49 niter: 19200  109m 46s (- 3174m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4624  loss_TTT: 0.0602  acc: 0.5892  lr: 0.0002 
ep/it:50-  99 niter: 19250  110m 2s (- 3174m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.4515  loss_TTT: 0.0597  acc: 0.5911  lr: 0.0002 
ep/it:50- 149 niter: 19300  110m 19s (- 3173m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4573  loss_TTT: 0.0625  acc: 0.5892  lr: 0.0002 
ep/it:50- 199 niter: 19350  110m 35s (- 3172m 57s) completed:  3%) loss_emb: 0.0000  loss: 1.4576  loss_TTT: 0.0608  acc: 0.5893  lr: 0.0002 
ep/it:50- 249 niter: 19400  110m 52s (- 3172m 27s) completed:  3%) loss_emb: 0.0000  loss: 1.4997  loss_TTT: 0.0631  acc: 0.5773  lr: 0.0002 
ep/it:50- 299 niter: 19450  111m 9s (- 3172m 6s) completed:  3%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0607  acc: 0.5891  lr: 0.0002 
ep/it:50- 349 niter: 19500  111m 26s (- 3171m 34s) completed:  3%) loss_emb: 0.0000  loss: 1.4553  loss_TTT: 0.0612  acc: 0.5898  lr: 0.0002 
Validation time:
Validation loss:1.677, accuracy:0.553
ep/it:51-  16 niter: 19550  111m 47s (- 3173m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0592  acc: 0.5881  lr: 0.0002 
ep/it:51-  66 niter: 19600  112m 3s (- 3172m 44s) completed:  3%) loss_emb: 0.0000  loss: 1.4497  loss_TTT: 0.0623  acc: 0.5925  lr: 0.0002 
ep/it:51- 116 niter: 19650  112m 20s (- 3172m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.4569  loss_TTT: 0.0624  acc: 0.5889  lr: 0.0002 
ep/it:51- 166 niter: 19700  112m 38s (- 3172m 2s) completed:  3%) loss_emb: 0.0000  loss: 1.4781  loss_TTT: 0.0610  acc: 0.5841  lr: 0.0002 
ep/it:51- 216 niter: 19750  112m 54s (- 3171m 35s) completed:  3%) loss_emb: 0.0000  loss: 1.4674  loss_TTT: 0.0640  acc: 0.5870  lr: 0.0002 
ep/it:51- 266 niter: 19800  113m 11s (- 3170m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0578  acc: 0.6002  lr: 0.0002 
ep/it:51- 316 niter: 19850  113m 27s (- 3170m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.4822  loss_TTT: 0.0621  acc: 0.5832  lr: 0.0002 
ep/it:51- 366 niter: 19900  113m 44s (- 3169m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.4757  loss_TTT: 0.0647  acc: 0.5849  lr: 0.0002 
Validation time:
Validation loss:1.655, accuracy:0.558
ep/it:52-  33 niter: 19950  114m 5s (- 3171m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4629  loss_TTT: 0.0605  acc: 0.5873  lr: 0.0002 
ep/it:52-  83 niter: 20000  114m 21s (- 3170m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4589  loss_TTT: 0.0601  acc: 0.5888  lr: 0.0002 
ep/it:52- 133 niter: 20050  114m 38s (- 3170m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.4559  loss_TTT: 0.0619  acc: 0.5897  lr: 0.0002 
ep/it:52- 183 niter: 20100  114m 55s (- 3169m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.4655  loss_TTT: 0.0607  acc: 0.5879  lr: 0.0002 
ep/it:52- 233 niter: 20150  115m 11s (- 3168m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4722  loss_TTT: 0.0583  acc: 0.5843  lr: 0.0002 
ep/it:52- 283 niter: 20200  115m 27s (- 3168m 17s) completed:  3%) loss_emb: 0.0000  loss: 1.4739  loss_TTT: 0.0596  acc: 0.5857  lr: 0.0002 
ep/it:52- 333 niter: 20250  115m 44s (- 3167m 51s) completed:  3%) loss_emb: 0.0000  loss: 1.4975  loss_TTT: 0.0629  acc: 0.5789  lr: 0.0002 
Validation time:
Validation loss:1.685, accuracy:0.550
ep/it:53-   0 niter: 20300  116m 4s (- 3168m 50s) completed:  3%) loss_emb: 0.0000  loss: 1.4632  loss_TTT: 0.0614  acc: 0.5886  lr: 0.0002 
ep/it:53-  50 niter: 20350  116m 20s (- 3168m 17s) completed:  3%) loss_emb: 0.0000  loss: 1.4461  loss_TTT: 0.0598  acc: 0.5925  lr: 0.0002 
ep/it:53- 100 niter: 20400  116m 37s (- 3167m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4955  loss_TTT: 0.0600  acc: 0.5793  lr: 0.0002 
ep/it:53- 150 niter: 20450  116m 53s (- 3166m 59s) completed:  3%) loss_emb: 0.0000  loss: 1.4287  loss_TTT: 0.0596  acc: 0.5967  lr: 0.0002 
ep/it:53- 200 niter: 20500  117m 10s (- 3166m 33s) completed:  3%) loss_emb: 0.0000  loss: 1.4827  loss_TTT: 0.0639  acc: 0.5841  lr: 0.0002 
ep/it:53- 250 niter: 20550  117m 28s (- 3166m 28s) completed:  3%) loss_emb: 0.0000  loss: 1.4727  loss_TTT: 0.0617  acc: 0.5865  lr: 0.0002 
ep/it:53- 300 niter: 20600  117m 44s (- 3165m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4525  loss_TTT: 0.0592  acc: 0.5908  lr: 0.0002 
ep/it:53- 350 niter: 20650  118m 0s (- 3165m 1s) completed:  3%) loss_emb: 0.0000  loss: 1.4456  loss_TTT: 0.0589  acc: 0.5927  lr: 0.0002 
Validation time:
Validation loss:1.670, accuracy:0.555
ep/it:54-  17 niter: 20700  118m 20s (- 3165m 57s) completed:  3%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0590  acc: 0.5919  lr: 0.0002 
ep/it:54-  67 niter: 20750  118m 37s (- 3165m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.4812  loss_TTT: 0.0578  acc: 0.5834  lr: 0.0002 
ep/it:54- 117 niter: 20800  118m 53s (- 3164m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4736  loss_TTT: 0.0608  acc: 0.5848  lr: 0.0002 
ep/it:54- 167 niter: 20850  119m 9s (- 3164m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.4811  loss_TTT: 0.0587  acc: 0.5851  lr: 0.0002 
ep/it:54- 217 niter: 20900  119m 25s (- 3163m 28s) completed:  3%) loss_emb: 0.0000  loss: 1.4513  loss_TTT: 0.0590  acc: 0.5904  lr: 0.0002 
ep/it:54- 267 niter: 20950  119m 42s (- 3162m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0578  acc: 0.5948  lr: 0.0002 
ep/it:54- 317 niter: 21000  119m 59s (- 3162m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.4812  loss_TTT: 0.0591  acc: 0.5832  lr: 0.0002 
ep/it:54- 367 niter: 21050  120m 16s (- 3162m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.4531  loss_TTT: 0.0623  acc: 0.5911  lr: 0.0002 
Validation time:
Validation loss:1.666, accuracy:0.554
ep/it:55-  34 niter: 21100  120m 36s (- 3163m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.4665  loss_TTT: 0.0613  acc: 0.5876  lr: 0.0002 
ep/it:55-  84 niter: 21150  120m 53s (- 3162m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.4774  loss_TTT: 0.0628  acc: 0.5849  lr: 0.0002 
ep/it:55- 134 niter: 21200  121m 10s (- 3162m 28s) completed:  3%) loss_emb: 0.0000  loss: 1.4971  loss_TTT: 0.0666  acc: 0.5804  lr: 0.0002 
ep/it:55- 184 niter: 21250  121m 26s (- 3161m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.4786  loss_TTT: 0.0663  acc: 0.5872  lr: 0.0002 
ep/it:55- 234 niter: 21300  121m 43s (- 3161m 30s) completed:  3%) loss_emb: 0.0000  loss: 1.4566  loss_TTT: 0.0624  acc: 0.5896  lr: 0.0002 
ep/it:55- 284 niter: 21350  122m 0s (- 3160m 55s) completed:  3%) loss_emb: 0.0000  loss: 1.4898  loss_TTT: 0.0637  acc: 0.5797  lr: 0.0002 
ep/it:55- 334 niter: 21400  122m 16s (- 3160m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.4871  loss_TTT: 0.0658  acc: 0.5839  lr: 0.0002 
Validation time:
Validation loss:1.687, accuracy:0.551
ep/it:56-   1 niter: 21450  122m 37s (- 3161m 33s) completed:  3%) loss_emb: 0.0000  loss: 1.4830  loss_TTT: 0.0614  acc: 0.5818  lr: 0.0002 
ep/it:56-  51 niter: 21500  122m 54s (- 3161m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.4698  loss_TTT: 0.0644  acc: 0.5871  lr: 0.0002 
ep/it:56- 101 niter: 21550  123m 11s (- 3160m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.4536  loss_TTT: 0.0606  acc: 0.5896  lr: 0.0002 
ep/it:56- 151 niter: 21600  123m 27s (- 3160m 21s) completed:  3%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0616  acc: 0.5934  lr: 0.0002 
ep/it:56- 201 niter: 21650  123m 44s (- 3159m 45s) completed:  3%) loss_emb: 0.0000  loss: 1.4622  loss_TTT: 0.0597  acc: 0.5884  lr: 0.0002 
ep/it:56- 251 niter: 21700  124m 0s (- 3159m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.4668  loss_TTT: 0.0592  acc: 0.5859  lr: 0.0002 
ep/it:56- 301 niter: 21750  124m 17s (- 3158m 35s) completed:  3%) loss_emb: 0.0000  loss: 1.4639  loss_TTT: 0.0615  acc: 0.5880  lr: 0.0002 
ep/it:56- 351 niter: 21800  124m 34s (- 3158m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.4762  loss_TTT: 0.0588  acc: 0.5844  lr: 0.0002 
Validation time:
Validation loss:1.680, accuracy:0.552
ep/it:57-  18 niter: 21850  124m 54s (- 3159m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4519  loss_TTT: 0.0581  acc: 0.5911  lr: 0.0002 
ep/it:57-  68 niter: 21900  125m 10s (- 3158m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.4551  loss_TTT: 0.0588  acc: 0.5913  lr: 0.0002 
ep/it:57- 118 niter: 21950  125m 27s (- 3158m 5s) completed:  3%) loss_emb: 0.0000  loss: 1.4852  loss_TTT: 0.0583  acc: 0.5806  lr: 0.0002 
ep/it:57- 168 niter: 22000  125m 44s (- 3157m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.4570  loss_TTT: 0.0598  acc: 0.5906  lr: 0.0002 
ep/it:57- 218 niter: 22050  126m 1s (- 3157m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4526  loss_TTT: 0.0599  acc: 0.5900  lr: 0.0002 
ep/it:57- 268 niter: 22100  126m 18s (- 3156m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.4636  loss_TTT: 0.0608  acc: 0.5880  lr: 0.0002 
ep/it:57- 318 niter: 22150  126m 34s (- 3156m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4641  loss_TTT: 0.0615  acc: 0.5871  lr: 0.0002 
ep/it:57- 368 niter: 22200  126m 51s (- 3155m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4627  loss_TTT: 0.0596  acc: 0.5884  lr: 0.0002 
Validation time:
Validation loss:1.607, accuracy:0.567
ep/it:58-  35 niter: 22250  127m 11s (- 3157m 6s) completed:  3%) loss_emb: 0.0000  loss: 1.4689  loss_TTT: 0.0581  acc: 0.5868  lr: 0.0002 
ep/it:58-  85 niter: 22300  127m 28s (- 3156m 35s) completed:  3%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0606  acc: 0.5978  lr: 0.0002 
ep/it:58- 135 niter: 22350  127m 44s (- 3156m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.4672  loss_TTT: 0.0636  acc: 0.5862  lr: 0.0002 
ep/it:58- 185 niter: 22400  128m 1s (- 3155m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4743  loss_TTT: 0.0611  acc: 0.5848  lr: 0.0002 
ep/it:58- 235 niter: 22450  128m 18s (- 3154m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.4823  loss_TTT: 0.0636  acc: 0.5840  lr: 0.0002 
ep/it:58- 285 niter: 22500  128m 34s (- 3154m 17s) completed:  3%) loss_emb: 0.0000  loss: 1.4705  loss_TTT: 0.0622  acc: 0.5871  lr: 0.0002 
ep/it:58- 335 niter: 22550  128m 51s (- 3153m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0598  acc: 0.5881  lr: 0.0002 
Validation time:
Validation loss:1.607, accuracy:0.569
Improved accuracy from 0.57 to 0.5694477739541427!!!
ep/it:59-   2 niter: 22600  129m 12s (- 3155m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.4657  loss_TTT: 0.0603  acc: 0.5853  lr: 0.0002 
ep/it:59-  52 niter: 22650  129m 29s (- 3155m 4s) completed:  3%) loss_emb: 0.0000  loss: 1.4647  loss_TTT: 0.0637  acc: 0.5882  lr: 0.0002 
ep/it:59- 102 niter: 22700  129m 45s (- 3154m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.4635  loss_TTT: 0.0591  acc: 0.5875  lr: 0.0002 
ep/it:59- 152 niter: 22750  130m 3s (- 3154m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.4335  loss_TTT: 0.0590  acc: 0.5950  lr: 0.0002 
ep/it:59- 202 niter: 22800  130m 20s (- 3153m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.4512  loss_TTT: 0.0605  acc: 0.5918  lr: 0.0002 
ep/it:59- 252 niter: 22850  130m 36s (- 3153m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.4578  loss_TTT: 0.0613  acc: 0.5893  lr: 0.0002 
ep/it:59- 302 niter: 22900  130m 53s (- 3152m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0592  acc: 0.5900  lr: 0.0002 
ep/it:59- 352 niter: 22950  131m 9s (- 3152m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.4891  loss_TTT: 0.0601  acc: 0.5808  lr: 0.0002 
Validation time:
Validation loss:1.639, accuracy:0.563
ep/it:60-  19 niter: 23000  131m 30s (- 3153m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4810  loss_TTT: 0.0601  acc: 0.5854  lr: 0.0002 
ep/it:60-  69 niter: 23050  131m 48s (- 3153m 13s) completed:  4%) loss_emb: 0.0000  loss: 1.4874  loss_TTT: 0.0626  acc: 0.5838  lr: 0.0002 
ep/it:60- 119 niter: 23100  132m 4s (- 3152m 48s) completed:  4%) loss_emb: 0.0000  loss: 1.4736  loss_TTT: 0.0582  acc: 0.5838  lr: 0.0002 
ep/it:60- 169 niter: 23150  132m 21s (- 3152m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0610  acc: 0.6015  lr: 0.0002 
ep/it:60- 219 niter: 23200  132m 37s (- 3151m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4620  loss_TTT: 0.0597  acc: 0.5884  lr: 0.0002 
ep/it:60- 269 niter: 23250  132m 54s (- 3151m 5s) completed:  4%) loss_emb: 0.0000  loss: 1.4881  loss_TTT: 0.0599  acc: 0.5808  lr: 0.0002 
ep/it:60- 319 niter: 23300  133m 10s (- 3150m 24s) completed:  4%) loss_emb: 0.0000  loss: 1.4867  loss_TTT: 0.0591  acc: 0.5817  lr: 0.0002 
ep/it:60- 369 niter: 23350  133m 26s (- 3149m 53s) completed:  4%) loss_emb: 0.0000  loss: 1.4727  loss_TTT: 0.0580  acc: 0.5844  lr: 0.0002 
Validation time:
Validation loss:1.653, accuracy:0.557
ep/it:61-  36 niter: 23400  133m 47s (- 3151m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.4707  loss_TTT: 0.0612  acc: 0.5866  lr: 0.0002 
ep/it:61-  86 niter: 23450  134m 4s (- 3150m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.4891  loss_TTT: 0.0605  acc: 0.5823  lr: 0.0002 
ep/it:61- 136 niter: 23500  134m 21s (- 3150m 14s) completed:  4%) loss_emb: 0.0000  loss: 1.4422  loss_TTT: 0.0582  acc: 0.5929  lr: 0.0002 
ep/it:61- 186 niter: 23550  134m 38s (- 3149m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4551  loss_TTT: 0.0597  acc: 0.5877  lr: 0.0002 
ep/it:61- 236 niter: 23600  134m 54s (- 3149m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.4717  loss_TTT: 0.0599  acc: 0.5864  lr: 0.0002 
ep/it:61- 286 niter: 23650  135m 11s (- 3148m 50s) completed:  4%) loss_emb: 0.0000  loss: 1.4640  loss_TTT: 0.0581  acc: 0.5869  lr: 0.0002 
ep/it:61- 336 niter: 23700  135m 28s (- 3148m 24s) completed:  4%) loss_emb: 0.0000  loss: 1.4583  loss_TTT: 0.0621  acc: 0.5904  lr: 0.0002 
Validation time:
Validation loss:1.687, accuracy:0.548
ep/it:62-   3 niter: 23750  135m 48s (- 3149m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.4627  loss_TTT: 0.0639  acc: 0.5881  lr: 0.0002 
ep/it:62-  53 niter: 23800  136m 5s (- 3148m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0598  acc: 0.5896  lr: 0.0002 
ep/it:62- 103 niter: 23850  136m 21s (- 3148m 24s) completed:  4%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0574  acc: 0.5875  lr: 0.0002 
ep/it:62- 153 niter: 23900  136m 38s (- 3147m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.4536  loss_TTT: 0.0589  acc: 0.5912  lr: 0.0002 
ep/it:62- 203 niter: 23950  136m 55s (- 3147m 31s) completed:  4%) loss_emb: 0.0000  loss: 1.4581  loss_TTT: 0.0595  acc: 0.5881  lr: 0.0002 
ep/it:62- 253 niter: 24000  137m 12s (- 3147m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.4711  loss_TTT: 0.0614  acc: 0.5861  lr: 0.0002 
ep/it:62- 303 niter: 24050  137m 29s (- 3146m 57s) completed:  4%) loss_emb: 0.0000  loss: 1.4976  loss_TTT: 0.0639  acc: 0.5784  lr: 0.0002 
ep/it:62- 353 niter: 24100  137m 46s (- 3146m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4524  loss_TTT: 0.0587  acc: 0.5910  lr: 0.0002 
Validation time:
Validation loss:1.686, accuracy:0.550
ep/it:63-  20 niter: 24150  138m 7s (- 3147m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4505  loss_TTT: 0.0597  acc: 0.5917  lr: 0.0002 
ep/it:63-  70 niter: 24200  138m 24s (- 3147m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.4811  loss_TTT: 0.0600  acc: 0.5838  lr: 0.0002 
ep/it:63- 120 niter: 24250  138m 40s (- 3146m 31s) completed:  4%) loss_emb: 0.0000  loss: 1.4427  loss_TTT: 0.0608  acc: 0.5930  lr: 0.0002 
ep/it:63- 170 niter: 24300  138m 56s (- 3145m 59s) completed:  4%) loss_emb: 0.0000  loss: 1.4622  loss_TTT: 0.0594  acc: 0.5888  lr: 0.0002 
ep/it:63- 220 niter: 24350  139m 13s (- 3145m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0590  acc: 0.5938  lr: 0.0002 
ep/it:63- 270 niter: 24400  139m 29s (- 3145m 0s) completed:  4%) loss_emb: 0.0000  loss: 1.4666  loss_TTT: 0.0615  acc: 0.5869  lr: 0.0002 
ep/it:63- 320 niter: 24450  139m 47s (- 3144m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.4615  loss_TTT: 0.0604  acc: 0.5878  lr: 0.0002 
ep/it:63- 370 niter: 24500  140m 4s (- 3144m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4569  loss_TTT: 0.0591  acc: 0.5888  lr: 0.0002 
Validation time:
Validation loss:1.677, accuracy:0.552
ep/it:64-  37 niter: 24550  140m 25s (- 3145m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.4407  loss_TTT: 0.0611  acc: 0.5939  lr: 0.0002 
ep/it:64-  87 niter: 24600  140m 42s (- 3145m 14s) completed:  4%) loss_emb: 0.0000  loss: 1.4936  loss_TTT: 0.0620  acc: 0.5805  lr: 0.0002 
ep/it:64- 137 niter: 24650  140m 59s (- 3144m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.4786  loss_TTT: 0.0607  acc: 0.5836  lr: 0.0002 
ep/it:64- 187 niter: 24700  141m 15s (- 3144m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4704  loss_TTT: 0.0581  acc: 0.5841  lr: 0.0002 
ep/it:64- 237 niter: 24750  141m 32s (- 3143m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4729  loss_TTT: 0.0621  acc: 0.5854  lr: 0.0002 
ep/it:64- 287 niter: 24800  141m 49s (- 3143m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.4637  loss_TTT: 0.0581  acc: 0.5869  lr: 0.0002 
ep/it:64- 337 niter: 24850  142m 6s (- 3143m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0601  acc: 0.5952  lr: 0.0002 
Validation time:
Validation loss:1.668, accuracy:0.553
ep/it:65-   4 niter: 24900  142m 26s (- 3143m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.4720  loss_TTT: 0.0603  acc: 0.5845  lr: 0.0002 
ep/it:65-  54 niter: 24950  142m 43s (- 3143m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.4560  loss_TTT: 0.0597  acc: 0.5896  lr: 0.0002 
ep/it:65- 104 niter: 25000  143m 0s (- 3143m 13s) completed:  4%) loss_emb: 0.0000  loss: 1.4615  loss_TTT: 0.0599  acc: 0.5866  lr: 0.0002 
ep/it:65- 154 niter: 25050  143m 17s (- 3142m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.4736  loss_TTT: 0.0609  acc: 0.5853  lr: 0.0002 
ep/it:65- 204 niter: 25100  143m 34s (- 3142m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4918  loss_TTT: 0.0603  acc: 0.5807  lr: 0.0002 
ep/it:65- 254 niter: 25150  143m 51s (- 3142m 12s) completed:  4%) loss_emb: 0.0000  loss: 1.4662  loss_TTT: 0.0597  acc: 0.5867  lr: 0.0002 
ep/it:65- 304 niter: 25200  144m 7s (- 3141m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4784  loss_TTT: 0.0618  acc: 0.5820  lr: 0.0002 
ep/it:65- 354 niter: 25250  144m 23s (- 3140m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4781  loss_TTT: 0.0604  acc: 0.5834  lr: 0.0002 
Validation time:
Validation loss:1.652, accuracy:0.558
ep/it:66-  21 niter: 25300  144m 43s (- 3141m 40s) completed:  4%) loss_emb: 0.0000  loss: 1.4562  loss_TTT: 0.0585  acc: 0.5893  lr: 0.0002 
ep/it:66-  71 niter: 25350  145m 0s (- 3141m 12s) completed:  4%) loss_emb: 0.0000  loss: 1.4564  loss_TTT: 0.0567  acc: 0.5902  lr: 0.0002 
ep/it:66- 121 niter: 25400  145m 16s (- 3140m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.4491  loss_TTT: 0.0592  acc: 0.5911  lr: 0.0002 
ep/it:66- 171 niter: 25450  145m 33s (- 3140m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.4916  loss_TTT: 0.0624  acc: 0.5807  lr: 0.0002 
ep/it:66- 221 niter: 25500  145m 50s (- 3139m 43s) completed:  4%) loss_emb: 0.0000  loss: 1.4749  loss_TTT: 0.0590  acc: 0.5845  lr: 0.0002 
ep/it:66- 271 niter: 25550  146m 6s (- 3139m 12s) completed:  4%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0599  acc: 0.5947  lr: 0.0002 
ep/it:66- 321 niter: 25600  146m 22s (- 3138m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.4671  loss_TTT: 0.0631  acc: 0.5876  lr: 0.0002 
ep/it:66- 371 niter: 25650  146m 39s (- 3137m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4777  loss_TTT: 0.0612  acc: 0.5845  lr: 0.0002 
Validation time:
Validation loss:1.684, accuracy:0.550
ep/it:67-  38 niter: 25700  146m 59s (- 3138m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4584  loss_TTT: 0.0608  acc: 0.5883  lr: 0.0002 
ep/it:67-  88 niter: 25750  147m 16s (- 3138m 30s) completed:  4%) loss_emb: 0.0000  loss: 1.4601  loss_TTT: 0.0609  acc: 0.5887  lr: 0.0002 
ep/it:67- 138 niter: 25800  147m 33s (- 3138m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4556  loss_TTT: 0.0592  acc: 0.5874  lr: 0.0002 
ep/it:67- 188 niter: 25850  147m 49s (- 3137m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.4534  loss_TTT: 0.0601  acc: 0.5900  lr: 0.0002 
ep/it:67- 238 niter: 25900  148m 6s (- 3137m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.4418  loss_TTT: 0.0616  acc: 0.5940  lr: 0.0002 
ep/it:67- 288 niter: 25950  148m 22s (- 3136m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.4486  loss_TTT: 0.0598  acc: 0.5908  lr: 0.0002 
ep/it:67- 338 niter: 26000  148m 38s (- 3135m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.4868  loss_TTT: 0.0641  acc: 0.5818  lr: 0.0002 
Validation time:
Validation loss:1.659, accuracy:0.557
ep/it:68-   5 niter: 26050  148m 59s (- 3136m 52s) completed:  4%) loss_emb: 0.0000  loss: 1.4466  loss_TTT: 0.0581  acc: 0.5910  lr: 0.0002 
ep/it:68-  55 niter: 26100  149m 16s (- 3136m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.4331  loss_TTT: 0.0579  acc: 0.5949  lr: 0.0002 
ep/it:68- 105 niter: 26150  149m 32s (- 3135m 50s) completed:  4%) loss_emb: 0.0000  loss: 1.4600  loss_TTT: 0.0604  acc: 0.5894  lr: 0.0002 
ep/it:68- 155 niter: 26200  149m 49s (- 3135m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.4570  loss_TTT: 0.0618  acc: 0.5879  lr: 0.0002 
ep/it:68- 205 niter: 26250  150m 6s (- 3135m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.4553  loss_TTT: 0.0596  acc: 0.5900  lr: 0.0002 
ep/it:68- 255 niter: 26300  150m 22s (- 3134m 29s) completed:  4%) loss_emb: 0.0000  loss: 1.4660  loss_TTT: 0.0593  acc: 0.5864  lr: 0.0002 
ep/it:68- 305 niter: 26350  150m 39s (- 3133m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.4366  loss_TTT: 0.0606  acc: 0.5940  lr: 0.0002 
ep/it:68- 355 niter: 26400  150m 56s (- 3133m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.4573  loss_TTT: 0.0577  acc: 0.5864  lr: 0.0002 
Validation time:
Validation loss:1.666, accuracy:0.556
ep/it:69-  22 niter: 26450  151m 16s (- 3134m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.4683  loss_TTT: 0.0603  acc: 0.5861  lr: 0.0002 
ep/it:69-  72 niter: 26500  151m 33s (- 3133m 57s) completed:  4%) loss_emb: 0.0000  loss: 1.4557  loss_TTT: 0.0593  acc: 0.5895  lr: 0.0002 
ep/it:69- 122 niter: 26550  151m 50s (- 3133m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.4644  loss_TTT: 0.0570  acc: 0.5870  lr: 0.0002 
ep/it:69- 172 niter: 26600  152m 6s (- 3133m 12s) completed:  4%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0592  acc: 0.5908  lr: 0.0002 
ep/it:69- 222 niter: 26650  152m 23s (- 3132m 40s) completed:  4%) loss_emb: 0.0000  loss: 1.4740  loss_TTT: 0.0613  acc: 0.5860  lr: 0.0002 
ep/it:69- 272 niter: 26700  152m 39s (- 3132m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.4331  loss_TTT: 0.0590  acc: 0.5948  lr: 0.0002 
ep/it:69- 322 niter: 26750  152m 56s (- 3131m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4335  loss_TTT: 0.0586  acc: 0.5939  lr: 0.0002 
ep/it:69- 372 niter: 26800  153m 13s (- 3131m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0618  acc: 0.5867  lr: 0.0002 
Validation time:
Validation loss:1.654, accuracy:0.558
ep/it:70-  39 niter: 26850  153m 34s (- 3132m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.4843  loss_TTT: 0.0607  acc: 0.5810  lr: 0.0002 
ep/it:70-  89 niter: 26900  153m 50s (- 3131m 47s) completed:  4%) loss_emb: 0.0000  loss: 1.4758  loss_TTT: 0.0607  acc: 0.5826  lr: 0.0002 
ep/it:70- 139 niter: 26950  154m 7s (- 3131m 19s) completed:  4%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0607  acc: 0.5901  lr: 0.0002 
ep/it:70- 189 niter: 27000  154m 23s (- 3130m 49s) completed:  4%) loss_emb: 0.0000  loss: 1.4686  loss_TTT: 0.0566  acc: 0.5855  lr: 0.0002 
ep/it:70- 239 niter: 27050  154m 41s (- 3130m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4795  loss_TTT: 0.0611  acc: 0.5825  lr: 0.0002 
ep/it:70- 289 niter: 27100  154m 57s (- 3130m 0s) completed:  4%) loss_emb: 0.0000  loss: 1.4609  loss_TTT: 0.0580  acc: 0.5876  lr: 0.0002 
ep/it:70- 339 niter: 27150  155m 14s (- 3129m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0585  acc: 0.5961  lr: 0.0002 
Validation time:
Validation loss:1.687, accuracy:0.549
ep/it:71-   6 niter: 27200  155m 34s (- 3130m 30s) completed:  4%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0570  acc: 0.5898  lr: 0.0002 
ep/it:71-  56 niter: 27250  155m 51s (- 3130m 5s) completed:  4%) loss_emb: 0.0000  loss: 1.4510  loss_TTT: 0.0585  acc: 0.5895  lr: 0.0002 
ep/it:71- 106 niter: 27300  156m 8s (- 3129m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.4585  loss_TTT: 0.0597  acc: 0.5884  lr: 0.0002 
ep/it:71- 156 niter: 27350  156m 25s (- 3129m 24s) completed:  4%) loss_emb: 0.0000  loss: 1.4583  loss_TTT: 0.0612  acc: 0.5892  lr: 0.0002 
ep/it:71- 206 niter: 27400  156m 42s (- 3128m 53s) completed:  4%) loss_emb: 0.0000  loss: 1.4629  loss_TTT: 0.0582  acc: 0.5873  lr: 0.0002 
ep/it:71- 256 niter: 27450  156m 59s (- 3128m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.4685  loss_TTT: 0.0591  acc: 0.5865  lr: 0.0002 
ep/it:71- 306 niter: 27500  157m 16s (- 3128m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.4899  loss_TTT: 0.0623  acc: 0.5801  lr: 0.0002 
ep/it:71- 356 niter: 27550  157m 33s (- 3128m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.4577  loss_TTT: 0.0605  acc: 0.5894  lr: 0.0002 
Validation time:
Validation loss:1.618, accuracy:0.568
ep/it:72-  23 niter: 27600  157m 54s (- 3128m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.4896  loss_TTT: 0.0650  acc: 0.5801  lr: 0.0002 
ep/it:72-  73 niter: 27650  158m 11s (- 3128m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0605  acc: 0.5929  lr: 0.0002 
ep/it:72- 123 niter: 27700  158m 28s (- 3128m 19s) completed:  4%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0586  acc: 0.5938  lr: 0.0002 
ep/it:72- 173 niter: 27750  158m 45s (- 3128m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.4910  loss_TTT: 0.0598  acc: 0.5798  lr: 0.0002 
ep/it:72- 223 niter: 27800  159m 2s (- 3127m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4638  loss_TTT: 0.0582  acc: 0.5860  lr: 0.0002 
ep/it:72- 273 niter: 27850  159m 18s (- 3126m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0547  acc: 0.5961  lr: 0.0002 
ep/it:72- 323 niter: 27900  159m 34s (- 3126m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.5035  loss_TTT: 0.0586  acc: 0.5762  lr: 0.0002 
ep/it:72- 373 niter: 27950  159m 51s (- 3125m 59s) completed:  4%) loss_emb: 0.0000  loss: 1.4646  loss_TTT: 0.0587  acc: 0.5864  lr: 0.0002 
Validation time:
Validation loss:1.664, accuracy:0.555
ep/it:73-  40 niter: 28000  160m 11s (- 3126m 43s) completed:  4%) loss_emb: 0.0000  loss: 1.4788  loss_TTT: 0.0591  acc: 0.5823  lr: 0.0002 
ep/it:73-  90 niter: 28050  160m 29s (- 3126m 25s) completed:  4%) loss_emb: 0.0000  loss: 1.4695  loss_TTT: 0.0576  acc: 0.5854  lr: 0.0002 
ep/it:73- 140 niter: 28100  160m 46s (- 3126m 7s) completed:  4%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0594  acc: 0.5924  lr: 0.0002 
ep/it:73- 190 niter: 28150  161m 2s (- 3125m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4552  loss_TTT: 0.0584  acc: 0.5882  lr: 0.0002 
ep/it:73- 240 niter: 28200  161m 19s (- 3125m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.4417  loss_TTT: 0.0579  acc: 0.5924  lr: 0.0002 
ep/it:73- 290 niter: 28250  161m 35s (- 3124m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.4536  loss_TTT: 0.0584  acc: 0.5896  lr: 0.0002 
ep/it:73- 340 niter: 28300  161m 52s (- 3124m 5s) completed:  4%) loss_emb: 0.0000  loss: 1.4319  loss_TTT: 0.0609  acc: 0.5959  lr: 0.0002 
Validation time:
Validation loss:1.649, accuracy:0.558
ep/it:74-   7 niter: 28350  162m 12s (- 3124m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.4792  loss_TTT: 0.0630  acc: 0.5813  lr: 0.0002 
ep/it:74-  57 niter: 28400  162m 28s (- 3124m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.4671  loss_TTT: 0.0623  acc: 0.5859  lr: 0.0002 
ep/it:74- 107 niter: 28450  162m 44s (- 3123m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4908  loss_TTT: 0.0601  acc: 0.5791  lr: 0.0002 
ep/it:74- 157 niter: 28500  163m 1s (- 3123m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.4432  loss_TTT: 0.0559  acc: 0.5905  lr: 0.0002 
ep/it:74- 207 niter: 28550  163m 18s (- 3122m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0594  acc: 0.5968  lr: 0.0002 
ep/it:74- 257 niter: 28600  163m 36s (- 3122m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.4531  loss_TTT: 0.0579  acc: 0.5890  lr: 0.0002 
ep/it:74- 307 niter: 28650  163m 52s (- 3122m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.4595  loss_TTT: 0.0592  acc: 0.5889  lr: 0.0002 
ep/it:74- 357 niter: 28700  164m 10s (- 3122m 2s) completed:  4%) loss_emb: 0.0000  loss: 1.4425  loss_TTT: 0.0606  acc: 0.5917  lr: 0.0002 
Validation time:
Validation loss:1.675, accuracy:0.553
ep/it:75-  24 niter: 28750  164m 30s (- 3122m 49s) completed:  5%) loss_emb: 0.0000  loss: 1.4798  loss_TTT: 0.0627  acc: 0.5840  lr: 0.0002 
ep/it:75-  74 niter: 28800  164m 47s (- 3122m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.4660  loss_TTT: 0.0572  acc: 0.5859  lr: 0.0002 
ep/it:75- 124 niter: 28850  165m 3s (- 3121m 55s) completed:  5%) loss_emb: 0.0000  loss: 1.4797  loss_TTT: 0.0616  acc: 0.5832  lr: 0.0002 
ep/it:75- 174 niter: 28900  165m 20s (- 3121m 31s) completed:  5%) loss_emb: 0.0000  loss: 1.4689  loss_TTT: 0.0587  acc: 0.5852  lr: 0.0002 
ep/it:75- 224 niter: 28950  165m 37s (- 3121m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0582  acc: 0.5906  lr: 0.0002 
ep/it:75- 274 niter: 29000  165m 54s (- 3120m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.4663  loss_TTT: 0.0574  acc: 0.5863  lr: 0.0002 
ep/it:75- 324 niter: 29050  166m 11s (- 3120m 25s) completed:  5%) loss_emb: 0.0000  loss: 1.4694  loss_TTT: 0.0582  acc: 0.5865  lr: 0.0002 
ep/it:75- 374 niter: 29100  166m 27s (- 3119m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4444  loss_TTT: 0.0592  acc: 0.5910  lr: 0.0002 
Validation time:
Validation loss:1.642, accuracy:0.561
ep/it:76-  41 niter: 29150  166m 47s (- 3120m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.4500  loss_TTT: 0.0569  acc: 0.5886  lr: 0.0002 
ep/it:76-  91 niter: 29200  167m 3s (- 3119m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.5145  loss_TTT: 0.0613  acc: 0.5735  lr: 0.0002 
ep/it:76- 141 niter: 29250  167m 20s (- 3119m 18s) completed:  5%) loss_emb: 0.0000  loss: 1.4856  loss_TTT: 0.0660  acc: 0.5821  lr: 0.0002 
ep/it:76- 191 niter: 29300  167m 36s (- 3118m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0615  acc: 0.5895  lr: 0.0002 
ep/it:76- 241 niter: 29350  167m 52s (- 3118m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.4626  loss_TTT: 0.0597  acc: 0.5877  lr: 0.0002 
ep/it:76- 291 niter: 29400  168m 8s (- 3117m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.4744  loss_TTT: 0.0608  acc: 0.5846  lr: 0.0002 
ep/it:76- 341 niter: 29450  168m 25s (- 3117m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0595  acc: 0.5923  lr: 0.0002 
Validation time:
Validation loss:1.633, accuracy:0.563
ep/it:77-   8 niter: 29500  168m 46s (- 3117m 54s) completed:  5%) loss_emb: 0.0000  loss: 1.4461  loss_TTT: 0.0582  acc: 0.5910  lr: 0.0002 
ep/it:77-  58 niter: 29550  169m 2s (- 3117m 30s) completed:  5%) loss_emb: 0.0000  loss: 1.4587  loss_TTT: 0.0597  acc: 0.5888  lr: 0.0002 
ep/it:77- 108 niter: 29600  169m 18s (- 3116m 54s) completed:  5%) loss_emb: 0.0000  loss: 1.4601  loss_TTT: 0.0591  acc: 0.5893  lr: 0.0002 
ep/it:77- 158 niter: 29650  169m 36s (- 3116m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0590  acc: 0.5860  lr: 0.0002 
ep/it:77- 208 niter: 29700  169m 52s (- 3116m 8s) completed:  5%) loss_emb: 0.0000  loss: 1.4815  loss_TTT: 0.0576  acc: 0.5821  lr: 0.0002 
ep/it:77- 258 niter: 29750  170m 8s (- 3115m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4481  loss_TTT: 0.0625  acc: 0.5888  lr: 0.0002 
ep/it:77- 308 niter: 29800  170m 25s (- 3115m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.4593  loss_TTT: 0.0602  acc: 0.5878  lr: 0.0002 
ep/it:77- 358 niter: 29850  170m 42s (- 3114m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4915  loss_TTT: 0.0604  acc: 0.5797  lr: 0.0002 
Validation time:
Validation loss:1.664, accuracy:0.556
ep/it:78-  25 niter: 29900  171m 3s (- 3115m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4716  loss_TTT: 0.0625  acc: 0.5843  lr: 0.0002 
ep/it:78-  75 niter: 29950  171m 19s (- 3115m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.4391  loss_TTT: 0.0586  acc: 0.5929  lr: 0.0002 
ep/it:78- 125 niter: 30000  171m 36s (- 3114m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.4593  loss_TTT: 0.0600  acc: 0.5889  lr: 0.0002 
ep/it:78- 175 niter: 30050  171m 52s (- 3114m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4957  loss_TTT: 0.0608  acc: 0.5783  lr: 0.0002 
ep/it:78- 225 niter: 30100  172m 9s (- 3113m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4472  loss_TTT: 0.0596  acc: 0.5910  lr: 0.0002 
ep/it:78- 275 niter: 30150  172m 25s (- 3113m 12s) completed:  5%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0615  acc: 0.5874  lr: 0.0002 
ep/it:78- 325 niter: 30200  172m 42s (- 3112m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0557  acc: 0.5958  lr: 0.0002 
ep/it:78- 375 niter: 30250  172m 59s (- 3112m 24s) completed:  5%) loss_emb: 0.0000  loss: 1.4523  loss_TTT: 0.0581  acc: 0.5906  lr: 0.0002 
Validation time:
Validation loss:1.620, accuracy:0.567
ep/it:79-  42 niter: 30300  173m 20s (- 3113m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.4717  loss_TTT: 0.0573  acc: 0.5856  lr: 0.0002 
ep/it:79-  92 niter: 30350  173m 36s (- 3112m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.4503  loss_TTT: 0.0584  acc: 0.5904  lr: 0.0002 
ep/it:79- 142 niter: 30400  173m 52s (- 3112m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.4575  loss_TTT: 0.0586  acc: 0.5890  lr: 0.0002 
ep/it:79- 192 niter: 30450  174m 8s (- 3111m 23s) completed:  5%) loss_emb: 0.0000  loss: 1.4715  loss_TTT: 0.0602  acc: 0.5849  lr: 0.0002 
ep/it:79- 242 niter: 30500  174m 24s (- 3110m 46s) completed:  5%) loss_emb: 0.0000  loss: 1.4617  loss_TTT: 0.0565  acc: 0.5861  lr: 0.0002 
ep/it:79- 292 niter: 30550  174m 41s (- 3110m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.4582  loss_TTT: 0.0593  acc: 0.5866  lr: 0.0002 
ep/it:79- 342 niter: 30600  174m 58s (- 3110m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.4694  loss_TTT: 0.0604  acc: 0.5857  lr: 0.0002 
Validation time:
Validation loss:1.652, accuracy:0.556
ep/it:80-   9 niter: 30650  175m 18s (- 3110m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.4421  loss_TTT: 0.0599  acc: 0.5922  lr: 0.0002 
ep/it:80-  59 niter: 30700  175m 35s (- 3110m 13s) completed:  5%) loss_emb: 0.0000  loss: 1.4494  loss_TTT: 0.0599  acc: 0.5912  lr: 0.0002 
ep/it:80- 109 niter: 30750  175m 52s (- 3109m 55s) completed:  5%) loss_emb: 0.0000  loss: 1.4663  loss_TTT: 0.0604  acc: 0.5852  lr: 0.0002 
ep/it:80- 159 niter: 30800  176m 8s (- 3109m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.4720  loss_TTT: 0.0625  acc: 0.5842  lr: 0.0002 
ep/it:80- 209 niter: 30850  176m 24s (- 3108m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.4554  loss_TTT: 0.0569  acc: 0.5887  lr: 0.0002 
ep/it:80- 259 niter: 30900  176m 41s (- 3108m 17s) completed:  5%) loss_emb: 0.0000  loss: 1.4466  loss_TTT: 0.0569  acc: 0.5907  lr: 0.0002 
ep/it:80- 309 niter: 30950  176m 57s (- 3107m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4581  loss_TTT: 0.0573  acc: 0.5889  lr: 0.0002 
ep/it:80- 359 niter: 31000  177m 13s (- 3107m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.4516  loss_TTT: 0.0597  acc: 0.5901  lr: 0.0002 
Validation time:
Validation loss:1.690, accuracy:0.548
ep/it:81-  26 niter: 31050  177m 34s (- 3107m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.4476  loss_TTT: 0.0631  acc: 0.5923  lr: 0.0002 
ep/it:81-  76 niter: 31100  177m 50s (- 3107m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.4694  loss_TTT: 0.0594  acc: 0.5855  lr: 0.0002 
ep/it:81- 126 niter: 31150  178m 6s (- 3106m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0593  acc: 0.5870  lr: 0.0002 
ep/it:81- 176 niter: 31200  178m 23s (- 3106m 23s) completed:  5%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0588  acc: 0.5930  lr: 0.0002 
ep/it:81- 226 niter: 31250  178m 39s (- 3105m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.4596  loss_TTT: 0.0604  acc: 0.5876  lr: 0.0002 
ep/it:81- 276 niter: 31300  178m 56s (- 3105m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.4805  loss_TTT: 0.0597  acc: 0.5828  lr: 0.0002 
ep/it:81- 326 niter: 31350  179m 12s (- 3104m 54s) completed:  5%) loss_emb: 0.0000  loss: 1.4660  loss_TTT: 0.0586  acc: 0.5849  lr: 0.0002 
ep/it:81- 376 niter: 31400  179m 29s (- 3104m 24s) completed:  5%) loss_emb: 0.0000  loss: 1.4538  loss_TTT: 0.0582  acc: 0.5885  lr: 0.0002 
Validation time:
Validation loss:1.642, accuracy:0.559
ep/it:82-  43 niter: 31450  179m 49s (- 3105m 3s) completed:  5%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0593  acc: 0.5916  lr: 0.0002 
ep/it:82-  93 niter: 31500  180m 6s (- 3104m 39s) completed:  5%) loss_emb: 0.0000  loss: 1.4597  loss_TTT: 0.0616  acc: 0.5874  lr: 0.0002 
ep/it:82- 143 niter: 31550  180m 23s (- 3104m 15s) completed:  5%) loss_emb: 0.0000  loss: 1.4467  loss_TTT: 0.0578  acc: 0.5904  lr: 0.0002 
ep/it:82- 193 niter: 31600  180m 39s (- 3103m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.4639  loss_TTT: 0.0622  acc: 0.5865  lr: 0.0002 
ep/it:82- 243 niter: 31650  180m 55s (- 3103m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0591  acc: 0.5893  lr: 0.0002 
ep/it:82- 293 niter: 31700  181m 11s (- 3102m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0591  acc: 0.5927  lr: 0.0002 
ep/it:82- 343 niter: 31750  181m 27s (- 3102m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.4550  loss_TTT: 0.0592  acc: 0.5878  lr: 0.0002 
Validation time:
Validation loss:1.688, accuracy:0.547
ep/it:83-  10 niter: 31800  181m 48s (- 3102m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.4398  loss_TTT: 0.0593  acc: 0.5927  lr: 0.0002 
ep/it:83-  60 niter: 31850  182m 4s (- 3102m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.4458  loss_TTT: 0.0566  acc: 0.5899  lr: 0.0002 
ep/it:83- 110 niter: 31900  182m 21s (- 3101m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.4652  loss_TTT: 0.0575  acc: 0.5864  lr: 0.0002 
ep/it:83- 160 niter: 31950  182m 37s (- 3101m 12s) completed:  5%) loss_emb: 0.0000  loss: 1.4605  loss_TTT: 0.0593  acc: 0.5872  lr: 0.0002 
ep/it:83- 210 niter: 32000  182m 53s (- 3100m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.4692  loss_TTT: 0.0602  acc: 0.5844  lr: 0.0002 
ep/it:83- 260 niter: 32050  183m 11s (- 3100m 25s) completed:  5%) loss_emb: 0.0000  loss: 1.4543  loss_TTT: 0.0603  acc: 0.5881  lr: 0.0002 
ep/it:83- 310 niter: 32100  183m 27s (- 3099m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.4852  loss_TTT: 0.0599  acc: 0.5815  lr: 0.0002 
ep/it:83- 360 niter: 32150  183m 43s (- 3099m 25s) completed:  5%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0602  acc: 0.5911  lr: 0.0002 
Validation time:
Validation loss:1.641, accuracy:0.559
ep/it:84-  27 niter: 32200  184m 4s (- 3100m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.4639  loss_TTT: 0.0614  acc: 0.5867  lr: 0.0002 
ep/it:84-  77 niter: 32250  184m 20s (- 3099m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.4506  loss_TTT: 0.0586  acc: 0.5895  lr: 0.0002 
ep/it:84- 127 niter: 32300  184m 37s (- 3099m 3s) completed:  5%) loss_emb: 0.0000  loss: 1.4706  loss_TTT: 0.0620  acc: 0.5846  lr: 0.0002 
ep/it:84- 177 niter: 32350  184m 53s (- 3098m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0574  acc: 0.5887  lr: 0.0002 
ep/it:84- 227 niter: 32400  185m 10s (- 3098m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.4334  loss_TTT: 0.0592  acc: 0.5944  lr: 0.0002 
ep/it:84- 277 niter: 32450  185m 26s (- 3097m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4800  loss_TTT: 0.0581  acc: 0.5815  lr: 0.0002 
ep/it:84- 327 niter: 32500  185m 42s (- 3097m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4552  loss_TTT: 0.0577  acc: 0.5902  lr: 0.0002 
ep/it:84- 377 niter: 32550  185m 59s (- 3096m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.4918  loss_TTT: 0.0590  acc: 0.5798  lr: 0.0002 
Validation time:
Validation loss:1.660, accuracy:0.553
ep/it:85-  44 niter: 32600  186m 20s (- 3097m 23s) completed:  5%) loss_emb: 0.0000  loss: 1.4538  loss_TTT: 0.0579  acc: 0.5892  lr: 0.0002 
ep/it:85-  94 niter: 32650  186m 36s (- 3096m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0567  acc: 0.5922  lr: 0.0002 
ep/it:85- 144 niter: 32700  186m 53s (- 3096m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.4472  loss_TTT: 0.0579  acc: 0.5917  lr: 0.0002 
ep/it:85- 194 niter: 32750  187m 10s (- 3096m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0564  acc: 0.5915  lr: 0.0002 
ep/it:85- 244 niter: 32800  187m 26s (- 3095m 44s) completed:  5%) loss_emb: 0.0000  loss: 1.4527  loss_TTT: 0.0618  acc: 0.5882  lr: 0.0002 
ep/it:85- 294 niter: 32850  187m 43s (- 3095m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0570  acc: 0.5933  lr: 0.0002 
ep/it:85- 344 niter: 32900  188m 0s (- 3095m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.4474  loss_TTT: 0.0593  acc: 0.5903  lr: 0.0002 
Validation time:
Validation loss:1.683, accuracy:0.551
ep/it:86-  11 niter: 32950  188m 21s (- 3095m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.4570  loss_TTT: 0.0580  acc: 0.5883  lr: 0.0002 
ep/it:86-  61 niter: 33000  188m 38s (- 3095m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.4537  loss_TTT: 0.0588  acc: 0.5889  lr: 0.0002 
ep/it:86- 111 niter: 33050  188m 55s (- 3095m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.4518  loss_TTT: 0.0581  acc: 0.5901  lr: 0.0002 
ep/it:86- 161 niter: 33100  189m 12s (- 3094m 40s) completed:  5%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0569  acc: 0.5927  lr: 0.0002 
ep/it:86- 211 niter: 33150  189m 28s (- 3094m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4636  loss_TTT: 0.0591  acc: 0.5871  lr: 0.0002 
ep/it:86- 261 niter: 33200  189m 45s (- 3093m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0565  acc: 0.5952  lr: 0.0002 
ep/it:86- 311 niter: 33250  190m 1s (- 3093m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.4510  loss_TTT: 0.0585  acc: 0.5884  lr: 0.0002 
ep/it:86- 361 niter: 33300  190m 18s (- 3092m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.4618  loss_TTT: 0.0598  acc: 0.5874  lr: 0.0002 
Validation time:
Validation loss:1.654, accuracy:0.556
ep/it:87-  28 niter: 33350  190m 39s (- 3093m 46s) completed:  5%) loss_emb: 0.0000  loss: 1.4647  loss_TTT: 0.0607  acc: 0.5878  lr: 0.0002 
ep/it:87-  78 niter: 33400  190m 57s (- 3093m 30s) completed:  5%) loss_emb: 0.0000  loss: 1.4452  loss_TTT: 0.0575  acc: 0.5917  lr: 0.0002 
ep/it:87- 128 niter: 33450  191m 13s (- 3093m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0533  acc: 0.5966  lr: 0.0002 
ep/it:87- 178 niter: 33500  191m 30s (- 3092m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.4347  loss_TTT: 0.0581  acc: 0.5919  lr: 0.0002 
ep/it:87- 228 niter: 33550  191m 47s (- 3092m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.4332  loss_TTT: 0.0577  acc: 0.5942  lr: 0.0002 
ep/it:87- 278 niter: 33600  192m 3s (- 3091m 55s) completed:  5%) loss_emb: 0.0000  loss: 1.4781  loss_TTT: 0.0595  acc: 0.5836  lr: 0.0002 
ep/it:87- 328 niter: 33650  192m 20s (- 3091m 24s) completed:  5%) loss_emb: 0.0000  loss: 1.4431  loss_TTT: 0.0582  acc: 0.5912  lr: 0.0002 
ep/it:87- 378 niter: 33700  192m 37s (- 3091m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.4469  loss_TTT: 0.0603  acc: 0.5892  lr: 0.0002 
Validation time:
Validation loss:1.616, accuracy:0.566
ep/it:88-  45 niter: 33750  192m 58s (- 3091m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0564  acc: 0.5998  lr: 0.0002 
ep/it:88-  95 niter: 33800  193m 14s (- 3091m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.4581  loss_TTT: 0.0581  acc: 0.5874  lr: 0.0002 
ep/it:88- 145 niter: 33850  193m 31s (- 3090m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0559  acc: 0.5931  lr: 0.0002 
ep/it:88- 195 niter: 33900  193m 47s (- 3090m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.4442  loss_TTT: 0.0587  acc: 0.5909  lr: 0.0002 
ep/it:88- 245 niter: 33950  194m 4s (- 3089m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.4559  loss_TTT: 0.0575  acc: 0.5880  lr: 0.0002 
ep/it:88- 295 niter: 34000  194m 20s (- 3089m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.4636  loss_TTT: 0.0559  acc: 0.5860  lr: 0.0002 
ep/it:88- 345 niter: 34050  194m 37s (- 3089m 15s) completed:  5%) loss_emb: 0.0000  loss: 1.4798  loss_TTT: 0.0611  acc: 0.5817  lr: 0.0002 
Validation time:
Validation loss:1.650, accuracy:0.557
ep/it:89-  12 niter: 34100  194m 58s (- 3089m 48s) completed:  5%) loss_emb: 0.0000  loss: 1.4374  loss_TTT: 0.0578  acc: 0.5939  lr: 0.0002 
ep/it:89-  62 niter: 34150  195m 15s (- 3089m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.4393  loss_TTT: 0.0572  acc: 0.5907  lr: 0.0002 
ep/it:89- 112 niter: 34200  195m 31s (- 3089m 2s) completed:  5%) loss_emb: 0.0000  loss: 1.4513  loss_TTT: 0.0610  acc: 0.5894  lr: 0.0002 
ep/it:89- 162 niter: 34250  195m 48s (- 3088m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.4566  loss_TTT: 0.0594  acc: 0.5900  lr: 0.0002 
ep/it:89- 212 niter: 34300  196m 5s (- 3088m 13s) completed:  5%) loss_emb: 0.0000  loss: 1.4386  loss_TTT: 0.0567  acc: 0.5932  lr: 0.0002 
ep/it:89- 262 niter: 34350  196m 21s (- 3087m 46s) completed:  5%) loss_emb: 0.0000  loss: 1.4351  loss_TTT: 0.0561  acc: 0.5923  lr: 0.0002 
ep/it:89- 312 niter: 34400  196m 38s (- 3087m 29s) completed:  5%) loss_emb: 0.0000  loss: 1.4305  loss_TTT: 0.0567  acc: 0.5930  lr: 0.0002 
ep/it:89- 362 niter: 34450  196m 55s (- 3087m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0588  acc: 0.5957  lr: 0.0002 
Validation time:
Validation loss:1.638, accuracy:0.561
ep/it:90-  29 niter: 34500  197m 16s (- 3087m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.4449  loss_TTT: 0.0576  acc: 0.5908  lr: 0.0002 
ep/it:90-  79 niter: 34550  197m 33s (- 3087m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.4705  loss_TTT: 0.0588  acc: 0.5832  lr: 0.0002 
ep/it:90- 129 niter: 34600  197m 49s (- 3086m 46s) completed:  6%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0555  acc: 0.5902  lr: 0.0002 
ep/it:90- 179 niter: 34650  198m 5s (- 3086m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0576  acc: 0.5891  lr: 0.0002 
ep/it:90- 229 niter: 34700  198m 22s (- 3085m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4435  loss_TTT: 0.0577  acc: 0.5908  lr: 0.0002 
ep/it:90- 279 niter: 34750  198m 39s (- 3085m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.4795  loss_TTT: 0.0600  acc: 0.5820  lr: 0.0002 
ep/it:90- 329 niter: 34800  198m 56s (- 3085m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.4562  loss_TTT: 0.0587  acc: 0.5870  lr: 0.0002 
ep/it:90- 379 niter: 34850  199m 13s (- 3084m 52s) completed:  6%) loss_emb: 0.0000  loss: 1.4491  loss_TTT: 0.0589  acc: 0.5903  lr: 0.0002 
Validation time:
Validation loss:1.679, accuracy:0.549
ep/it:91-  46 niter: 34900  199m 33s (- 3085m 24s) completed:  6%) loss_emb: 0.0000  loss: 1.4691  loss_TTT: 0.0606  acc: 0.5846  lr: 0.0002 
ep/it:91-  96 niter: 34950  199m 49s (- 3084m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4504  loss_TTT: 0.0575  acc: 0.5898  lr: 0.0002 
ep/it:91- 146 niter: 35000  200m 6s (- 3084m 33s) completed:  6%) loss_emb: 0.0000  loss: 1.4573  loss_TTT: 0.0577  acc: 0.5883  lr: 0.0002 
ep/it:91- 196 niter: 35050  200m 23s (- 3084m 5s) completed:  6%) loss_emb: 0.0000  loss: 1.4447  loss_TTT: 0.0573  acc: 0.5912  lr: 0.0002 
ep/it:91- 246 niter: 35100  200m 39s (- 3083m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.4419  loss_TTT: 0.0575  acc: 0.5915  lr: 0.0002 
ep/it:91- 296 niter: 35150  200m 56s (- 3083m 19s) completed:  6%) loss_emb: 0.0000  loss: 1.4546  loss_TTT: 0.0573  acc: 0.5868  lr: 0.0002 
ep/it:91- 346 niter: 35200  201m 13s (- 3082m 54s) completed:  6%) loss_emb: 0.0000  loss: 1.4614  loss_TTT: 0.0609  acc: 0.5884  lr: 0.0002 
Validation time:
Validation loss:1.639, accuracy:0.560
ep/it:92-  13 niter: 35250  201m 33s (- 3083m 31s) completed:  6%) loss_emb: 0.0000  loss: 1.4423  loss_TTT: 0.0558  acc: 0.5915  lr: 0.0002 
ep/it:92-  63 niter: 35300  201m 50s (- 3083m 8s) completed:  6%) loss_emb: 0.0000  loss: 1.4532  loss_TTT: 0.0587  acc: 0.5884  lr: 0.0002 
ep/it:92- 113 niter: 35350  202m 7s (- 3082m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0583  acc: 0.5941  lr: 0.0002 
ep/it:92- 163 niter: 35400  202m 25s (- 3082m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0579  acc: 0.5925  lr: 0.0002 
ep/it:92- 213 niter: 35450  202m 41s (- 3082m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.4636  loss_TTT: 0.0598  acc: 0.5851  lr: 0.0002 
ep/it:92- 263 niter: 35500  202m 58s (- 3081m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.4568  loss_TTT: 0.0579  acc: 0.5894  lr: 0.0002 
ep/it:92- 313 niter: 35550  203m 14s (- 3081m 16s) completed:  6%) loss_emb: 0.0000  loss: 1.4437  loss_TTT: 0.0574  acc: 0.5912  lr: 0.0002 
ep/it:92- 363 niter: 35600  203m 31s (- 3080m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.4405  loss_TTT: 0.0565  acc: 0.5918  lr: 0.0002 
Validation time:
Validation loss:1.605, accuracy:0.567
ep/it:93-  30 niter: 35650  203m 51s (- 3081m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.4385  loss_TTT: 0.0590  acc: 0.5935  lr: 0.0002 
ep/it:93-  80 niter: 35700  204m 7s (- 3080m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4451  loss_TTT: 0.0587  acc: 0.5903  lr: 0.0002 
ep/it:93- 130 niter: 35750  204m 24s (- 3080m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0592  acc: 0.6013  lr: 0.0002 
ep/it:93- 180 niter: 35800  204m 40s (- 3079m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.4776  loss_TTT: 0.0599  acc: 0.5834  lr: 0.0002 
ep/it:93- 230 niter: 35850  204m 57s (- 3079m 24s) completed:  6%) loss_emb: 0.0000  loss: 1.4641  loss_TTT: 0.0569  acc: 0.5856  lr: 0.0002 
ep/it:93- 280 niter: 35900  205m 13s (- 3078m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4326  loss_TTT: 0.0591  acc: 0.5933  lr: 0.0002 
ep/it:93- 330 niter: 35950  205m 29s (- 3078m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.4493  loss_TTT: 0.0589  acc: 0.5902  lr: 0.0002 
ep/it:93- 380 niter: 36000  205m 46s (- 3077m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0586  acc: 0.5952  lr: 0.0002 
Validation time:
Validation loss:1.656, accuracy:0.557
ep/it:94-  47 niter: 36050  206m 6s (- 3078m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.4477  loss_TTT: 0.0585  acc: 0.5898  lr: 0.0002 
ep/it:94-  97 niter: 36100  206m 23s (- 3078m 5s) completed:  6%) loss_emb: 0.0000  loss: 1.4590  loss_TTT: 0.0580  acc: 0.5879  lr: 0.0002 
ep/it:94- 147 niter: 36150  206m 39s (- 3077m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.4481  loss_TTT: 0.0572  acc: 0.5901  lr: 0.0002 
ep/it:94- 197 niter: 36200  206m 56s (- 3077m 13s) completed:  6%) loss_emb: 0.0000  loss: 1.4454  loss_TTT: 0.0584  acc: 0.5897  lr: 0.0002 
ep/it:94- 247 niter: 36250  207m 13s (- 3076m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.4417  loss_TTT: 0.0579  acc: 0.5902  lr: 0.0002 
ep/it:94- 297 niter: 36300  207m 29s (- 3076m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.4471  loss_TTT: 0.0608  acc: 0.5904  lr: 0.0002 
ep/it:94- 347 niter: 36350  207m 46s (- 3075m 57s) completed:  6%) loss_emb: 0.0000  loss: 1.4589  loss_TTT: 0.0580  acc: 0.5861  lr: 0.0002 
Validation time:
Validation loss:1.673, accuracy:0.551
ep/it:95-  14 niter: 36400  208m 6s (- 3076m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.4415  loss_TTT: 0.0566  acc: 0.5940  lr: 0.0002 
ep/it:95-  64 niter: 36450  208m 23s (- 3076m 11s) completed:  6%) loss_emb: 0.0000  loss: 1.4505  loss_TTT: 0.0565  acc: 0.5890  lr: 0.0002 
ep/it:95- 114 niter: 36500  208m 40s (- 3075m 46s) completed:  6%) loss_emb: 0.0000  loss: 1.4478  loss_TTT: 0.0548  acc: 0.5889  lr: 0.0002 
ep/it:95- 164 niter: 36550  208m 57s (- 3075m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.4363  loss_TTT: 0.0593  acc: 0.5925  lr: 0.0002 
ep/it:95- 214 niter: 36600  209m 13s (- 3075m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.4484  loss_TTT: 0.0553  acc: 0.5890  lr: 0.0002 
ep/it:95- 264 niter: 36650  209m 30s (- 3074m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.4564  loss_TTT: 0.0605  acc: 0.5885  lr: 0.0002 
ep/it:95- 314 niter: 36700  209m 47s (- 3074m 10s) completed:  6%) loss_emb: 0.0000  loss: 1.4486  loss_TTT: 0.0541  acc: 0.5890  lr: 0.0002 
ep/it:95- 364 niter: 36750  210m 3s (- 3073m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4386  loss_TTT: 0.0582  acc: 0.5923  lr: 0.0002 
Validation time:
Validation loss:1.614, accuracy:0.564
ep/it:96-  31 niter: 36800  210m 24s (- 3074m 19s) completed:  6%) loss_emb: 0.0000  loss: 1.4317  loss_TTT: 0.0581  acc: 0.5932  lr: 0.0002 
ep/it:96-  81 niter: 36850  210m 41s (- 3074m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0594  acc: 0.5940  lr: 0.0002 
ep/it:96- 131 niter: 36900  210m 58s (- 3073m 41s) completed:  6%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0564  acc: 0.5941  lr: 0.0002 
ep/it:96- 181 niter: 36950  211m 14s (- 3073m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.4460  loss_TTT: 0.0592  acc: 0.5910  lr: 0.0002 
ep/it:96- 231 niter: 37000  211m 31s (- 3072m 53s) completed:  6%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0594  acc: 0.5950  lr: 0.0002 
ep/it:96- 281 niter: 37050  211m 48s (- 3072m 31s) completed:  6%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0558  acc: 0.5909  lr: 0.0002 
ep/it:96- 331 niter: 37100  212m 4s (- 3072m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.4452  loss_TTT: 0.0591  acc: 0.5902  lr: 0.0002 
ep/it:96- 381 niter: 37150  212m 21s (- 3071m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.4566  loss_TTT: 0.0578  acc: 0.5880  lr: 0.0002 
Validation time:
Validation loss:1.698, accuracy:0.545
ep/it:97-  48 niter: 37200  212m 41s (- 3072m 7s) completed:  6%) loss_emb: 0.0000  loss: 1.4690  loss_TTT: 0.0584  acc: 0.5851  lr: 0.0002 
ep/it:97-  98 niter: 37250  212m 58s (- 3071m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.4802  loss_TTT: 0.0581  acc: 0.5832  lr: 0.0002 
ep/it:97- 148 niter: 37300  213m 14s (- 3071m 11s) completed:  6%) loss_emb: 0.0000  loss: 1.4728  loss_TTT: 0.0591  acc: 0.5830  lr: 0.0002 
ep/it:97- 198 niter: 37350  213m 31s (- 3070m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4492  loss_TTT: 0.0584  acc: 0.5896  lr: 0.0002 
ep/it:97- 248 niter: 37400  213m 47s (- 3070m 21s) completed:  6%) loss_emb: 0.0000  loss: 1.4422  loss_TTT: 0.0565  acc: 0.5897  lr: 0.0002 
ep/it:97- 298 niter: 37450  214m 4s (- 3070m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0564  acc: 0.5944  lr: 0.0002 
ep/it:97- 348 niter: 37500  214m 21s (- 3069m 42s) completed:  6%) loss_emb: 0.0000  loss: 1.4528  loss_TTT: 0.0588  acc: 0.5880  lr: 0.0002 
Validation time:
Validation loss:1.616, accuracy:0.563
ep/it:98-  15 niter: 37550  214m 42s (- 3070m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.4547  loss_TTT: 0.0572  acc: 0.5865  lr: 0.0002 
ep/it:98-  65 niter: 37600  214m 59s (- 3070m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.4539  loss_TTT: 0.0578  acc: 0.5903  lr: 0.0002 
ep/it:98- 115 niter: 37650  215m 16s (- 3069m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0574  acc: 0.5931  lr: 0.0002 
ep/it:98- 165 niter: 37700  215m 33s (- 3069m 13s) completed:  6%) loss_emb: 0.0000  loss: 1.4468  loss_TTT: 0.0543  acc: 0.5897  lr: 0.0002 
ep/it:98- 215 niter: 37750  215m 50s (- 3068m 54s) completed:  6%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0568  acc: 0.5900  lr: 0.0002 
ep/it:98- 265 niter: 37800  216m 7s (- 3068m 33s) completed:  6%) loss_emb: 0.0000  loss: 1.4288  loss_TTT: 0.0572  acc: 0.5942  lr: 0.0002 
ep/it:98- 315 niter: 37850  216m 23s (- 3068m 8s) completed:  6%) loss_emb: 0.0000  loss: 1.4379  loss_TTT: 0.0606  acc: 0.5906  lr: 0.0002 
ep/it:98- 365 niter: 37900  216m 40s (- 3067m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.4340  loss_TTT: 0.0568  acc: 0.5932  lr: 0.0002 
Validation time:
Validation loss:1.597, accuracy:0.570
Improved accuracy from 0.57 to 0.5698369249053623!!!
ep/it:99-  32 niter: 37950  217m 1s (- 3068m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.4637  loss_TTT: 0.0591  acc: 0.5847  lr: 0.0002 
ep/it:99-  82 niter: 38000  217m 18s (- 3068m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.4474  loss_TTT: 0.0561  acc: 0.5883  lr: 0.0002 
ep/it:99- 132 niter: 38050  217m 35s (- 3067m 37s) completed:  6%) loss_emb: 0.0000  loss: 1.4621  loss_TTT: 0.0587  acc: 0.5851  lr: 0.0002 
ep/it:99- 182 niter: 38100  217m 51s (- 3067m 16s) completed:  6%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0570  acc: 0.5937  lr: 0.0002 
ep/it:99- 232 niter: 38150  218m 9s (- 3067m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0579  acc: 0.5979  lr: 0.0002 
ep/it:99- 282 niter: 38200  218m 25s (- 3066m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.4394  loss_TTT: 0.0567  acc: 0.5919  lr: 0.0002 
ep/it:99- 332 niter: 38250  218m 42s (- 3066m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.4430  loss_TTT: 0.0582  acc: 0.5923  lr: 0.0002 
ep/it:99- 382 niter: 38300  218m 58s (- 3065m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.4630  loss_TTT: 0.0568  acc: 0.5853  lr: 0.0002 
Validation time:
Validation loss:1.667, accuracy:0.553

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.48it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.90it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.07it/s]
100%|██████████| 47/47 [00:06<00:00,  7.10it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5353729869239032 avg: 2.5353729869239032
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5421103448607028 avg: 2.538741665892303
--> 	 Eva. Repeat 22 :, FID. 0.1810, Diversity Real. 9.4236, Diversity. 10.1806, R_precision_real. [0.53515625 0.70898438 0.79394531], R_precision. [0.51855469 0.70410156 0.79980469], matching_score_real. 2.9660, matching_score_pred. 2.9967, skate_ratio. 0.0485, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7734 (traj_fail_50cm (Traj err)): 0.5195 (kps_fail_20cm): 0.5983 (kps_fail_50cm (Loc. err)): 0.3453 (kps_mean_err(m) (Avg. err)): 0.5633 
ep/it:100-  49 niter: 38350  219m 27s (- 3068m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.4587  loss_TTT: 0.0574  acc: 0.5879  lr: 0.0002 
ep/it:100-  99 niter: 38400  219m 44s (- 3067m 52s) completed:  6%) loss_emb: 0.0000  loss: 1.4534  loss_TTT: 0.0560  acc: 0.5883  lr: 0.0002 
ep/it:100- 149 niter: 38450  220m 1s (- 3067m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0572  acc: 0.5957  lr: 0.0002 
ep/it:100- 199 niter: 38500  220m 17s (- 3066m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0568  acc: 0.5898  lr: 0.0002 
ep/it:100- 249 niter: 38550  220m 34s (- 3066m 37s) completed:  6%) loss_emb: 0.0000  loss: 1.4509  loss_TTT: 0.0560  acc: 0.5895  lr: 0.0002 
ep/it:100- 299 niter: 38600  220m 51s (- 3066m 12s) completed:  6%) loss_emb: 0.0000  loss: 1.4527  loss_TTT: 0.0587  acc: 0.5882  lr: 0.0002 
ep/it:100- 349 niter: 38650  221m 7s (- 3065m 42s) completed:  6%) loss_emb: 0.0000  loss: 1.4432  loss_TTT: 0.0591  acc: 0.5902  lr: 0.0002 
Validation time:
Validation loss:1.622, accuracy:0.562
ep/it:101-  16 niter: 38700  221m 28s (- 3066m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0556  acc: 0.5947  lr: 0.0002 
ep/it:101-  66 niter: 38750  221m 44s (- 3065m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0549  acc: 0.5913  lr: 0.0002 
ep/it:101- 116 niter: 38800  222m 1s (- 3065m 19s) completed:  6%) loss_emb: 0.0000  loss: 1.4613  loss_TTT: 0.0583  acc: 0.5866  lr: 0.0002 
ep/it:101- 166 niter: 38850  222m 17s (- 3064m 54s) completed:  6%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0598  acc: 0.5938  lr: 0.0002 
ep/it:101- 216 niter: 38900  222m 34s (- 3064m 32s) completed:  6%) loss_emb: 0.0000  loss: 1.4590  loss_TTT: 0.0574  acc: 0.5857  lr: 0.0002 
ep/it:101- 266 niter: 38950  222m 50s (- 3064m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.4691  loss_TTT: 0.0581  acc: 0.5844  lr: 0.0002 
ep/it:101- 316 niter: 39000  223m 7s (- 3063m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0563  acc: 0.5929  lr: 0.0002 
ep/it:101- 366 niter: 39050  223m 24s (- 3063m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.4544  loss_TTT: 0.0605  acc: 0.5883  lr: 0.0002 
Validation time:
Validation loss:1.682, accuracy:0.549
ep/it:102-  33 niter: 39100  223m 45s (- 3064m 3s) completed:  6%) loss_emb: 0.0000  loss: 1.4664  loss_TTT: 0.0566  acc: 0.5849  lr: 0.0002 
ep/it:102-  83 niter: 39150  224m 2s (- 3063m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.4435  loss_TTT: 0.0571  acc: 0.5906  lr: 0.0002 
ep/it:102- 133 niter: 39200  224m 19s (- 3063m 15s) completed:  6%) loss_emb: 0.0000  loss: 1.4708  loss_TTT: 0.0590  acc: 0.5839  lr: 0.0002 
ep/it:102- 183 niter: 39250  224m 35s (- 3062m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0559  acc: 0.5969  lr: 0.0002 
ep/it:102- 233 niter: 39300  224m 52s (- 3062m 21s) completed:  6%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0590  acc: 0.5856  lr: 0.0002 
ep/it:102- 283 niter: 39350  225m 9s (- 3061m 59s) completed:  6%) loss_emb: 0.0000  loss: 1.4752  loss_TTT: 0.0576  acc: 0.5816  lr: 0.0002 
ep/it:102- 333 niter: 39400  225m 25s (- 3061m 33s) completed:  6%) loss_emb: 0.0000  loss: 1.4382  loss_TTT: 0.0563  acc: 0.5916  lr: 0.0002 
Validation time:
Validation loss:1.655, accuracy:0.556
ep/it:103-   0 niter: 39450  225m 45s (- 3061m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0564  acc: 0.5900  lr: 0.0002 
ep/it:103-  50 niter: 39500  226m 2s (- 3061m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.4346  loss_TTT: 0.0548  acc: 0.5920  lr: 0.0002 
ep/it:103- 100 niter: 39550  226m 20s (- 3061m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.4554  loss_TTT: 0.0599  acc: 0.5889  lr: 0.0002 
ep/it:103- 150 niter: 39600  226m 36s (- 3060m 53s) completed:  6%) loss_emb: 0.0000  loss: 1.4562  loss_TTT: 0.0570  acc: 0.5873  lr: 0.0002 
ep/it:103- 200 niter: 39650  226m 52s (- 3060m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.4489  loss_TTT: 0.0547  acc: 0.5909  lr: 0.0002 
ep/it:103- 250 niter: 39700  227m 9s (- 3060m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.4605  loss_TTT: 0.0600  acc: 0.5879  lr: 0.0002 
ep/it:103- 300 niter: 39750  227m 25s (- 3059m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.4829  loss_TTT: 0.0612  acc: 0.5792  lr: 0.0002 
ep/it:103- 350 niter: 39800  227m 41s (- 3058m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.4555  loss_TTT: 0.0557  acc: 0.5879  lr: 0.0002 
Validation time:
Validation loss:1.667, accuracy:0.553
ep/it:104-  17 niter: 39850  228m 1s (- 3059m 21s) completed:  6%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0567  acc: 0.5927  lr: 0.0002 
ep/it:104-  67 niter: 39900  228m 18s (- 3058m 54s) completed:  6%) loss_emb: 0.0000  loss: 1.4668  loss_TTT: 0.0561  acc: 0.5844  lr: 0.0002 
ep/it:104- 117 niter: 39950  228m 35s (- 3058m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0590  acc: 0.5912  lr: 0.0002 
ep/it:104- 167 niter: 40000  228m 51s (- 3058m 8s) completed:  6%) loss_emb: 0.0000  loss: 1.4537  loss_TTT: 0.0573  acc: 0.5890  lr: 0.0002 
ep/it:104- 217 niter: 40050  229m 8s (- 3057m 47s) completed:  6%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0553  acc: 0.5951  lr: 0.0002 
ep/it:104- 267 niter: 40100  229m 24s (- 3057m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.4358  loss_TTT: 0.0574  acc: 0.5930  lr: 0.0002 
ep/it:104- 317 niter: 40150  229m 41s (- 3056m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0577  acc: 0.5958  lr: 0.0002 
ep/it:104- 367 niter: 40200  229m 57s (- 3056m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0604  acc: 0.5884  lr: 0.0002 
Validation time:
Validation loss:1.647, accuracy:0.558
ep/it:105-  34 niter: 40250  230m 17s (- 3056m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.4918  loss_TTT: 0.0575  acc: 0.5781  lr: 0.0002 
ep/it:105-  84 niter: 40300  230m 34s (- 3056m 22s) completed:  7%) loss_emb: 0.0000  loss: 1.4431  loss_TTT: 0.0559  acc: 0.5900  lr: 0.0002 
ep/it:105- 134 niter: 40350  230m 50s (- 3055m 53s) completed:  7%) loss_emb: 0.0000  loss: 1.4415  loss_TTT: 0.0592  acc: 0.5909  lr: 0.0002 
ep/it:105- 184 niter: 40400  231m 6s (- 3055m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.4477  loss_TTT: 0.0569  acc: 0.5901  lr: 0.0002 
ep/it:105- 234 niter: 40450  231m 23s (- 3055m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0574  acc: 0.5930  lr: 0.0002 
ep/it:105- 284 niter: 40500  231m 40s (- 3054m 38s) completed:  7%) loss_emb: 0.0000  loss: 1.4546  loss_TTT: 0.0563  acc: 0.5875  lr: 0.0002 
ep/it:105- 334 niter: 40550  231m 56s (- 3054m 12s) completed:  7%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0573  acc: 0.5947  lr: 0.0002 
Validation time:
Validation loss:1.602, accuracy:0.567
ep/it:106-   1 niter: 40600  232m 16s (- 3054m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.4437  loss_TTT: 0.0596  acc: 0.5889  lr: 0.0002 
ep/it:106-  51 niter: 40650  232m 33s (- 3054m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0569  acc: 0.5973  lr: 0.0002 
ep/it:106- 101 niter: 40700  232m 49s (- 3053m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.4648  loss_TTT: 0.0561  acc: 0.5846  lr: 0.0002 
ep/it:106- 151 niter: 40750  233m 6s (- 3053m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.4455  loss_TTT: 0.0582  acc: 0.5916  lr: 0.0002 
ep/it:106- 201 niter: 40800  233m 23s (- 3052m 56s) completed:  7%) loss_emb: 0.0000  loss: 1.4708  loss_TTT: 0.0573  acc: 0.5836  lr: 0.0002 
ep/it:106- 251 niter: 40850  233m 40s (- 3052m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4415  loss_TTT: 0.0600  acc: 0.5913  lr: 0.0002 
ep/it:106- 301 niter: 40900  233m 56s (- 3052m 12s) completed:  7%) loss_emb: 0.0000  loss: 1.4688  loss_TTT: 0.0586  acc: 0.5849  lr: 0.0002 
ep/it:106- 351 niter: 40950  234m 13s (- 3051m 47s) completed:  7%) loss_emb: 0.0000  loss: 1.4815  loss_TTT: 0.0591  acc: 0.5801  lr: 0.0002 
Validation time:
Validation loss:1.606, accuracy:0.568
ep/it:107-  18 niter: 41000  234m 33s (- 3052m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0573  acc: 0.5957  lr: 0.0002 
ep/it:107-  68 niter: 41050  234m 50s (- 3051m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.4312  loss_TTT: 0.0582  acc: 0.5950  lr: 0.0002 
ep/it:107- 118 niter: 41100  235m 7s (- 3051m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0545  acc: 0.5892  lr: 0.0002 
ep/it:107- 168 niter: 41150  235m 24s (- 3051m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4460  loss_TTT: 0.0582  acc: 0.5884  lr: 0.0002 
ep/it:107- 218 niter: 41200  235m 41s (- 3050m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.4326  loss_TTT: 0.0601  acc: 0.5947  lr: 0.0002 
ep/it:107- 268 niter: 41250  235m 58s (- 3050m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0577  acc: 0.5936  lr: 0.0002 
ep/it:107- 318 niter: 41300  236m 14s (- 3050m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.4454  loss_TTT: 0.0580  acc: 0.5896  lr: 0.0002 
ep/it:107- 368 niter: 41350  236m 31s (- 3049m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4648  loss_TTT: 0.0567  acc: 0.5848  lr: 0.0002 
Validation time:
Validation loss:1.614, accuracy:0.566
ep/it:108-  35 niter: 41400  236m 52s (- 3050m 12s) completed:  7%) loss_emb: 0.0000  loss: 1.4588  loss_TTT: 0.0582  acc: 0.5879  lr: 0.0002 
ep/it:108-  85 niter: 41450  237m 9s (- 3049m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.4504  loss_TTT: 0.0553  acc: 0.5879  lr: 0.0002 
ep/it:108- 135 niter: 41500  237m 26s (- 3049m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.4550  loss_TTT: 0.0572  acc: 0.5857  lr: 0.0002 
ep/it:108- 185 niter: 41550  237m 43s (- 3049m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0555  acc: 0.5939  lr: 0.0002 
ep/it:108- 235 niter: 41600  238m 0s (- 3048m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.4471  loss_TTT: 0.0557  acc: 0.5905  lr: 0.0002 
ep/it:108- 285 niter: 41650  238m 16s (- 3048m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.4292  loss_TTT: 0.0562  acc: 0.5945  lr: 0.0002 
ep/it:108- 335 niter: 41700  238m 33s (- 3048m 5s) completed:  7%) loss_emb: 0.0000  loss: 1.4444  loss_TTT: 0.0598  acc: 0.5911  lr: 0.0002 
Validation time:
Validation loss:1.633, accuracy:0.561
ep/it:109-   2 niter: 41750  238m 54s (- 3048m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0569  acc: 0.5874  lr: 0.0002 
ep/it:109-  52 niter: 41800  239m 10s (- 3048m 5s) completed:  7%) loss_emb: 0.0000  loss: 1.4370  loss_TTT: 0.0559  acc: 0.5912  lr: 0.0002 
ep/it:109- 102 niter: 41850  239m 27s (- 3047m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4651  loss_TTT: 0.0566  acc: 0.5851  lr: 0.0002 
ep/it:109- 152 niter: 41900  239m 44s (- 3047m 21s) completed:  7%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0577  acc: 0.5922  lr: 0.0002 
ep/it:109- 202 niter: 41950  240m 0s (- 3046m 55s) completed:  7%) loss_emb: 0.0000  loss: 1.4709  loss_TTT: 0.0568  acc: 0.5823  lr: 0.0002 
ep/it:109- 252 niter: 42000  240m 17s (- 3046m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.4454  loss_TTT: 0.0580  acc: 0.5901  lr: 0.0002 
ep/it:109- 302 niter: 42050  240m 34s (- 3046m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4448  loss_TTT: 0.0594  acc: 0.5912  lr: 0.0002 
ep/it:109- 352 niter: 42100  240m 50s (- 3045m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0575  acc: 0.5910  lr: 0.0002 
Validation time:
Validation loss:1.644, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.00it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.72it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.20it/s]
100%|██████████| 47/47 [00:06<00:00,  7.25it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5571579709649086 avg: 2.5571579709649086
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.517680216114968 avg: 2.5374190935399383
--> 	 Eva. Repeat 22 :, FID. 0.1225, Diversity Real. 9.3165, Diversity. 9.6931, R_precision_real. [0.53417969 0.71386719 0.80859375], R_precision. [0.54199219 0.72167969 0.80957031], matching_score_real. 2.8641, matching_score_pred. 2.9100, skate_ratio. 0.0479, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7354 (traj_fail_50cm (Traj err)): 0.4844 (kps_fail_20cm): 0.5519 (kps_fail_50cm (Loc. err)): 0.3044 (kps_mean_err(m) (Avg. err)): 0.5112 
ep/it:110-  19 niter: 42150  241m 18s (- 3047m 45s) completed:  7%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0544  acc: 0.5941  lr: 0.0002 
ep/it:110-  69 niter: 42200  241m 35s (- 3047m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.4361  loss_TTT: 0.0589  acc: 0.5917  lr: 0.0002 
ep/it:110- 119 niter: 42250  241m 52s (- 3046m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.4519  loss_TTT: 0.0569  acc: 0.5901  lr: 0.0002 
ep/it:110- 169 niter: 42300  242m 8s (- 3046m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.4514  loss_TTT: 0.0597  acc: 0.5874  lr: 0.0002 
ep/it:110- 219 niter: 42350  242m 24s (- 3046m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0579  acc: 0.5961  lr: 0.0002 
ep/it:110- 269 niter: 42400  242m 41s (- 3045m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0550  acc: 0.5859  lr: 0.0002 
ep/it:110- 319 niter: 42450  242m 57s (- 3045m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0578  acc: 0.5843  lr: 0.0002 
ep/it:110- 369 niter: 42500  243m 14s (- 3044m 47s) completed:  7%) loss_emb: 0.0000  loss: 1.4340  loss_TTT: 0.0533  acc: 0.5922  lr: 0.0002 
Validation time:
Validation loss:1.667, accuracy:0.552
ep/it:111-  36 niter: 42550  243m 35s (- 3045m 14s) completed:  7%) loss_emb: 0.0000  loss: 1.4824  loss_TTT: 0.0573  acc: 0.5792  lr: 0.0002 
ep/it:111-  86 niter: 42600  243m 51s (- 3044m 45s) completed:  7%) loss_emb: 0.0000  loss: 1.4476  loss_TTT: 0.0566  acc: 0.5895  lr: 0.0002 
ep/it:111- 136 niter: 42650  244m 7s (- 3044m 14s) completed:  7%) loss_emb: 0.0000  loss: 1.4657  loss_TTT: 0.0588  acc: 0.5848  lr: 0.0002 
ep/it:111- 186 niter: 42700  244m 23s (- 3043m 46s) completed:  7%) loss_emb: 0.0000  loss: 1.4604  loss_TTT: 0.0594  acc: 0.5871  lr: 0.0002 
ep/it:111- 236 niter: 42750  244m 40s (- 3043m 24s) completed:  7%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0590  acc: 0.5935  lr: 0.0002 
ep/it:111- 286 niter: 42800  244m 57s (- 3043m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.4355  loss_TTT: 0.0583  acc: 0.5920  lr: 0.0002 
ep/it:111- 336 niter: 42850  245m 13s (- 3042m 32s) completed:  7%) loss_emb: 0.0000  loss: 1.4335  loss_TTT: 0.0553  acc: 0.5929  lr: 0.0002 
Validation time:
Validation loss:1.664, accuracy:0.554
ep/it:112-   3 niter: 42900  245m 33s (- 3042m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0565  acc: 0.5933  lr: 0.0002 
ep/it:112-  53 niter: 42950  245m 50s (- 3042m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0588  acc: 0.5879  lr: 0.0002 
ep/it:112- 103 niter: 43000  246m 6s (- 3042m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.4564  loss_TTT: 0.0574  acc: 0.5872  lr: 0.0002 
ep/it:112- 153 niter: 43050  246m 23s (- 3041m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.4563  loss_TTT: 0.0585  acc: 0.5862  lr: 0.0002 
ep/it:112- 203 niter: 43100  246m 40s (- 3041m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.4542  loss_TTT: 0.0554  acc: 0.5881  lr: 0.0002 
ep/it:112- 253 niter: 43150  246m 56s (- 3040m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0570  acc: 0.5923  lr: 0.0002 
ep/it:112- 303 niter: 43200  247m 12s (- 3040m 23s) completed:  7%) loss_emb: 0.0000  loss: 1.4597  loss_TTT: 0.0581  acc: 0.5861  lr: 0.0002 
ep/it:112- 353 niter: 43250  247m 29s (- 3039m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.4455  loss_TTT: 0.0584  acc: 0.5911  lr: 0.0002 
Validation time:
Validation loss:1.624, accuracy:0.561
ep/it:113-  20 niter: 43300  247m 49s (- 3040m 22s) completed:  7%) loss_emb: 0.0000  loss: 1.4611  loss_TTT: 0.0594  acc: 0.5858  lr: 0.0002 
ep/it:113-  70 niter: 43350  248m 5s (- 3039m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0559  acc: 0.5901  lr: 0.0002 
ep/it:113- 120 niter: 43400  248m 22s (- 3039m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.4518  loss_TTT: 0.0564  acc: 0.5874  lr: 0.0002 
ep/it:113- 170 niter: 43450  248m 39s (- 3039m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.4422  loss_TTT: 0.0575  acc: 0.5914  lr: 0.0002 
ep/it:113- 220 niter: 43500  248m 55s (- 3038m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4544  loss_TTT: 0.0575  acc: 0.5885  lr: 0.0002 
ep/it:113- 270 niter: 43550  249m 12s (- 3038m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.4387  loss_TTT: 0.0583  acc: 0.5908  lr: 0.0002 
ep/it:113- 320 niter: 43600  249m 28s (- 3037m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.4511  loss_TTT: 0.0569  acc: 0.5879  lr: 0.0002 
ep/it:113- 370 niter: 43650  249m 45s (- 3037m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0556  acc: 0.5916  lr: 0.0002 
Validation time:
Validation loss:1.634, accuracy:0.558
ep/it:114-  37 niter: 43700  250m 5s (- 3037m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0584  acc: 0.5949  lr: 0.0002 
ep/it:114-  87 niter: 43750  250m 22s (- 3037m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0558  acc: 0.5936  lr: 0.0002 
ep/it:114- 137 niter: 43800  250m 39s (- 3037m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0584  acc: 0.5947  lr: 0.0002 
ep/it:114- 187 niter: 43850  250m 56s (- 3036m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0548  acc: 0.5984  lr: 0.0002 
ep/it:114- 237 niter: 43900  251m 12s (- 3036m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.4689  loss_TTT: 0.0569  acc: 0.5831  lr: 0.0002 
ep/it:114- 287 niter: 43950  251m 29s (- 3035m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.4484  loss_TTT: 0.0590  acc: 0.5891  lr: 0.0002 
ep/it:114- 337 niter: 44000  251m 46s (- 3035m 32s) completed:  7%) loss_emb: 0.0000  loss: 1.4525  loss_TTT: 0.0550  acc: 0.5878  lr: 0.0002 
Validation time:
Validation loss:1.594, accuracy:0.570
Improved accuracy from 0.57 to 0.5700520613919133!!!
ep/it:115-   4 niter: 44050  252m 7s (- 3036m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0579  acc: 0.5908  lr: 0.0002 
ep/it:115-  54 niter: 44100  252m 24s (- 3035m 46s) completed:  7%) loss_emb: 0.0000  loss: 1.4483  loss_TTT: 0.0566  acc: 0.5886  lr: 0.0002 
ep/it:115- 104 niter: 44150  252m 41s (- 3035m 21s) completed:  7%) loss_emb: 0.0000  loss: 1.4685  loss_TTT: 0.0560  acc: 0.5830  lr: 0.0002 
ep/it:115- 154 niter: 44200  252m 57s (- 3034m 58s) completed:  7%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0581  acc: 0.5893  lr: 0.0002 
ep/it:115- 204 niter: 44250  253m 14s (- 3034m 32s) completed:  7%) loss_emb: 0.0000  loss: 1.4207  loss_TTT: 0.0573  acc: 0.5978  lr: 0.0002 
ep/it:115- 254 niter: 44300  253m 30s (- 3034m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.4554  loss_TTT: 0.0578  acc: 0.5877  lr: 0.0002 
ep/it:115- 304 niter: 44350  253m 46s (- 3033m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.4582  loss_TTT: 0.0582  acc: 0.5862  lr: 0.0002 
ep/it:115- 354 niter: 44400  254m 3s (- 3033m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.4533  loss_TTT: 0.0579  acc: 0.5866  lr: 0.0002 
Validation time:
Validation loss:1.661, accuracy:0.553
ep/it:116-  21 niter: 44450  254m 23s (- 3033m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.4505  loss_TTT: 0.0567  acc: 0.5879  lr: 0.0002 
ep/it:116-  71 niter: 44500  254m 39s (- 3033m 0s) completed:  7%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0550  acc: 0.5938  lr: 0.0002 
ep/it:116- 121 niter: 44550  254m 56s (- 3032m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0592  acc: 0.5949  lr: 0.0002 
ep/it:116- 171 niter: 44600  255m 12s (- 3032m 14s) completed:  7%) loss_emb: 0.0000  loss: 1.4525  loss_TTT: 0.0589  acc: 0.5870  lr: 0.0002 
ep/it:116- 221 niter: 44650  255m 28s (- 3031m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.4395  loss_TTT: 0.0584  acc: 0.5908  lr: 0.0002 
ep/it:116- 271 niter: 44700  255m 45s (- 3031m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.4622  loss_TTT: 0.0569  acc: 0.5849  lr: 0.0002 
ep/it:116- 321 niter: 44750  256m 0s (- 3030m 41s) completed:  7%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0539  acc: 0.5985  lr: 0.0002 
ep/it:116- 371 niter: 44800  256m 17s (- 3030m 12s) completed:  7%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0557  acc: 0.5936  lr: 0.0002 
Validation time:
Validation loss:1.639, accuracy:0.558
ep/it:117-  38 niter: 44850  256m 36s (- 3030m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.4738  loss_TTT: 0.0595  acc: 0.5827  lr: 0.0002 
ep/it:117-  88 niter: 44900  256m 53s (- 3030m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0591  acc: 0.5928  lr: 0.0002 
ep/it:117- 138 niter: 44950  257m 9s (- 3029m 36s) completed:  7%) loss_emb: 0.0000  loss: 1.4451  loss_TTT: 0.0548  acc: 0.5895  lr: 0.0002 
ep/it:117- 188 niter: 45000  257m 26s (- 3029m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0576  acc: 0.5952  lr: 0.0002 
ep/it:117- 238 niter: 45050  257m 44s (- 3029m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.4352  loss_TTT: 0.0574  acc: 0.5915  lr: 0.0002 
ep/it:117- 288 niter: 45100  258m 0s (- 3028m 36s) completed:  7%) loss_emb: 0.0000  loss: 1.4449  loss_TTT: 0.0570  acc: 0.5913  lr: 0.0002 
ep/it:117- 338 niter: 45150  258m 17s (- 3028m 12s) completed:  7%) loss_emb: 0.0000  loss: 1.4624  loss_TTT: 0.0553  acc: 0.5842  lr: 0.0002 
Validation time:
Validation loss:1.633, accuracy:0.561
ep/it:118-   5 niter: 45200  258m 37s (- 3028m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0566  acc: 0.5929  lr: 0.0002 
ep/it:118-  55 niter: 45250  258m 53s (- 3027m 58s) completed:  7%) loss_emb: 0.0000  loss: 1.4668  loss_TTT: 0.0555  acc: 0.5832  lr: 0.0002 
ep/it:118- 105 niter: 45300  259m 9s (- 3027m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0596  acc: 0.5944  lr: 0.0002 
ep/it:118- 155 niter: 45350  259m 25s (- 3027m 2s) completed:  7%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0558  acc: 0.5960  lr: 0.0002 
ep/it:118- 205 niter: 45400  259m 42s (- 3026m 41s) completed:  7%) loss_emb: 0.0000  loss: 1.4659  loss_TTT: 0.0586  acc: 0.5852  lr: 0.0002 
ep/it:118- 255 niter: 45450  259m 59s (- 3026m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.4573  loss_TTT: 0.0567  acc: 0.5867  lr: 0.0002 
ep/it:118- 305 niter: 45500  260m 15s (- 3025m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0558  acc: 0.5948  lr: 0.0002 
ep/it:118- 355 niter: 45550  260m 32s (- 3025m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0549  acc: 0.5963  lr: 0.0002 
Validation time:
Validation loss:1.592, accuracy:0.570
ep/it:119-  22 niter: 45600  260m 53s (- 3025m 56s) completed:  7%) loss_emb: 0.0000  loss: 1.4514  loss_TTT: 0.0543  acc: 0.5871  lr: 0.0002 
ep/it:119-  72 niter: 45650  261m 10s (- 3025m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0568  acc: 0.5977  lr: 0.0002 
ep/it:119- 122 niter: 45700  261m 26s (- 3025m 14s) completed:  7%) loss_emb: 0.0000  loss: 1.4338  loss_TTT: 0.0604  acc: 0.5938  lr: 0.0002 
ep/it:119- 172 niter: 45750  261m 43s (- 3024m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.4371  loss_TTT: 0.0575  acc: 0.5918  lr: 0.0002 
ep/it:119- 222 niter: 45800  261m 59s (- 3024m 23s) completed:  7%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0576  acc: 0.6015  lr: 0.0002 
ep/it:119- 272 niter: 45850  262m 16s (- 3023m 56s) completed:  7%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0544  acc: 0.5965  lr: 0.0002 
ep/it:119- 322 niter: 45900  262m 33s (- 3023m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.4451  loss_TTT: 0.0554  acc: 0.5900  lr: 0.0002 
ep/it:119- 372 niter: 45950  262m 50s (- 3023m 18s) completed:  7%) loss_emb: 0.0000  loss: 1.4510  loss_TTT: 0.0578  acc: 0.5870  lr: 0.0002 
Validation time:
Validation loss:1.636, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.41it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.64it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.99it/s]
100%|██████████| 47/47 [00:06<00:00,  6.97it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5374873452819884 avg: 2.5374873452819884
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.538621219806373 avg: 2.5380542825441808
--> 	 Eva. Repeat 22 :, FID. 0.1156, Diversity Real. 9.4684, Diversity. 9.4514, R_precision_real. [0.51757812 0.70117188 0.79785156], R_precision. [0.50292969 0.69433594 0.79785156], matching_score_real. 2.9016, matching_score_pred. 2.9306, skate_ratio. 0.0508, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7803 (traj_fail_50cm (Traj err)): 0.4893 (kps_fail_20cm): 0.5851 (kps_fail_50cm (Loc. err)): 0.3154 (kps_mean_err(m) (Avg. err)): 0.5379 
ep/it:120-  39 niter: 46000  263m 18s (- 3025m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4596  loss_TTT: 0.0591  acc: 0.5852  lr: 0.0002 
ep/it:120-  89 niter: 46050  263m 35s (- 3024m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.4453  loss_TTT: 0.0580  acc: 0.5891  lr: 0.0002 
ep/it:120- 139 niter: 46100  263m 52s (- 3024m 27s) completed:  8%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0570  acc: 0.5922  lr: 0.0002 
ep/it:120- 189 niter: 46150  264m 8s (- 3024m 3s) completed:  8%) loss_emb: 0.0000  loss: 1.4714  loss_TTT: 0.0580  acc: 0.5835  lr: 0.0002 
ep/it:120- 239 niter: 46200  264m 24s (- 3023m 34s) completed:  8%) loss_emb: 0.0000  loss: 1.4569  loss_TTT: 0.0585  acc: 0.5868  lr: 0.0002 
ep/it:120- 289 niter: 46250  264m 41s (- 3023m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.4484  loss_TTT: 0.0549  acc: 0.5888  lr: 0.0002 
ep/it:120- 339 niter: 46300  264m 57s (- 3022m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.4651  loss_TTT: 0.0588  acc: 0.5847  lr: 0.0002 
Validation time:
Validation loss:1.621, accuracy:0.564
ep/it:121-   6 niter: 46350  265m 18s (- 3023m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.4454  loss_TTT: 0.0563  acc: 0.5896  lr: 0.0002 
ep/it:121-  56 niter: 46400  265m 34s (- 3022m 39s) completed:  8%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0558  acc: 0.5906  lr: 0.0002 
ep/it:121- 106 niter: 46450  265m 51s (- 3022m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0564  acc: 0.5857  lr: 0.0002 
ep/it:121- 156 niter: 46500  266m 7s (- 3021m 49s) completed:  8%) loss_emb: 0.0000  loss: 1.4473  loss_TTT: 0.0560  acc: 0.5880  lr: 0.0002 
ep/it:121- 206 niter: 46550  266m 24s (- 3021m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.4746  loss_TTT: 0.0573  acc: 0.5818  lr: 0.0002 
ep/it:121- 256 niter: 46600  266m 41s (- 3021m 6s) completed:  8%) loss_emb: 0.0000  loss: 1.4551  loss_TTT: 0.0586  acc: 0.5876  lr: 0.0002 
ep/it:121- 306 niter: 46650  266m 57s (- 3020m 40s) completed:  8%) loss_emb: 0.0000  loss: 1.4375  loss_TTT: 0.0576  acc: 0.5923  lr: 0.0002 
ep/it:121- 356 niter: 46700  267m 14s (- 3020m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0601  acc: 0.5900  lr: 0.0002 
Validation time:
Validation loss:1.629, accuracy:0.561
ep/it:122-  23 niter: 46750  267m 34s (- 3020m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.4621  loss_TTT: 0.0575  acc: 0.5850  lr: 0.0002 
ep/it:122-  73 niter: 46800  267m 51s (- 3020m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4416  loss_TTT: 0.0535  acc: 0.5904  lr: 0.0002 
ep/it:122- 123 niter: 46850  268m 7s (- 3019m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.4455  loss_TTT: 0.0557  acc: 0.5897  lr: 0.0002 
ep/it:122- 173 niter: 46900  268m 24s (- 3019m 21s) completed:  8%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0563  acc: 0.5952  lr: 0.0002 
ep/it:122- 223 niter: 46950  268m 40s (- 3018m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0577  acc: 0.5974  lr: 0.0002 
ep/it:122- 273 niter: 47000  268m 57s (- 3018m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0562  acc: 0.5921  lr: 0.0002 
ep/it:122- 323 niter: 47050  269m 14s (- 3018m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0583  acc: 0.5943  lr: 0.0002 
ep/it:122- 373 niter: 47100  269m 30s (- 3017m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.4480  loss_TTT: 0.0549  acc: 0.5898  lr: 0.0002 
Validation time:
Validation loss:1.656, accuracy:0.553
ep/it:123-  40 niter: 47150  269m 51s (- 3018m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0562  acc: 0.5947  lr: 0.0002 
ep/it:123-  90 niter: 47200  270m 8s (- 3017m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.4878  loss_TTT: 0.0604  acc: 0.5801  lr: 0.0002 
ep/it:123- 140 niter: 47250  270m 25s (- 3017m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.4565  loss_TTT: 0.0561  acc: 0.5866  lr: 0.0002 
ep/it:123- 190 niter: 47300  270m 42s (- 3017m 12s) completed:  8%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0536  acc: 0.5908  lr: 0.0002 
ep/it:123- 240 niter: 47350  270m 58s (- 3016m 47s) completed:  8%) loss_emb: 0.0000  loss: 1.4799  loss_TTT: 0.0588  acc: 0.5806  lr: 0.0002 
ep/it:123- 290 niter: 47400  271m 15s (- 3016m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.4312  loss_TTT: 0.0569  acc: 0.5939  lr: 0.0002 
ep/it:123- 340 niter: 47450  271m 32s (- 3016m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.4410  loss_TTT: 0.0590  acc: 0.5910  lr: 0.0002 
Validation time:
Validation loss:1.667, accuracy:0.551
ep/it:124-   7 niter: 47500  271m 53s (- 3016m 28s) completed:  8%) loss_emb: 0.0000  loss: 1.4464  loss_TTT: 0.0570  acc: 0.5890  lr: 0.0002 
ep/it:124-  57 niter: 47550  272m 9s (- 3016m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.4466  loss_TTT: 0.0570  acc: 0.5887  lr: 0.0002 
ep/it:124- 107 niter: 47600  272m 26s (- 3015m 49s) completed:  8%) loss_emb: 0.0000  loss: 1.4475  loss_TTT: 0.0599  acc: 0.5907  lr: 0.0002 
ep/it:124- 157 niter: 47650  272m 43s (- 3015m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0572  acc: 0.5942  lr: 0.0002 
ep/it:124- 207 niter: 47700  273m 0s (- 3015m 8s) completed:  8%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0556  acc: 0.6002  lr: 0.0002 
ep/it:124- 257 niter: 47750  273m 18s (- 3015m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0575  acc: 0.5959  lr: 0.0002 
ep/it:124- 307 niter: 47800  273m 36s (- 3014m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.4413  loss_TTT: 0.0572  acc: 0.5900  lr: 0.0002 
ep/it:124- 357 niter: 47850  273m 52s (- 3014m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.4926  loss_TTT: 0.0588  acc: 0.5778  lr: 0.0002 
Validation time:
Validation loss:1.633, accuracy:0.561
ep/it:125-  24 niter: 47900  274m 13s (- 3014m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0570  acc: 0.6010  lr: 0.0002 
ep/it:125-  74 niter: 47950  274m 30s (- 3014m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.4227  loss_TTT: 0.0564  acc: 0.5958  lr: 0.0002 
ep/it:125- 124 niter: 48000  274m 47s (- 3014m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.4317  loss_TTT: 0.0542  acc: 0.5927  lr: 0.0002 
ep/it:125- 174 niter: 48050  275m 4s (- 3013m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0574  acc: 0.5936  lr: 0.0002 
ep/it:125- 224 niter: 48100  275m 21s (- 3013m 28s) completed:  8%) loss_emb: 0.0000  loss: 1.4592  loss_TTT: 0.0571  acc: 0.5849  lr: 0.0002 
ep/it:125- 274 niter: 48150  275m 37s (- 3013m 3s) completed:  8%) loss_emb: 0.0000  loss: 1.4468  loss_TTT: 0.0563  acc: 0.5892  lr: 0.0002 
ep/it:125- 324 niter: 48200  275m 54s (- 3012m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0599  acc: 0.5914  lr: 0.0002 
ep/it:125- 374 niter: 48250  276m 11s (- 3012m 22s) completed:  8%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0566  acc: 0.5901  lr: 0.0002 
Validation time:
Validation loss:1.637, accuracy:0.558
ep/it:126-  41 niter: 48300  276m 32s (- 3012m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4363  loss_TTT: 0.0564  acc: 0.5909  lr: 0.0002 
ep/it:126-  91 niter: 48350  276m 48s (- 3012m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.4491  loss_TTT: 0.0586  acc: 0.5891  lr: 0.0002 
ep/it:126- 141 niter: 48400  277m 5s (- 3011m 53s) completed:  8%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0570  acc: 0.5959  lr: 0.0002 
ep/it:126- 191 niter: 48450  277m 21s (- 3011m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.4660  loss_TTT: 0.0580  acc: 0.5836  lr: 0.0002 
ep/it:126- 241 niter: 48500  277m 38s (- 3011m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.4690  loss_TTT: 0.0571  acc: 0.5833  lr: 0.0002 
ep/it:126- 291 niter: 48550  277m 55s (- 3010m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.4597  loss_TTT: 0.0562  acc: 0.5854  lr: 0.0002 
ep/it:126- 341 niter: 48600  278m 11s (- 3010m 20s) completed:  8%) loss_emb: 0.0000  loss: 1.4479  loss_TTT: 0.0587  acc: 0.5899  lr: 0.0002 
Validation time:
Validation loss:1.633, accuracy:0.559
ep/it:127-   8 niter: 48650  278m 32s (- 3010m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.4599  loss_TTT: 0.0564  acc: 0.5855  lr: 0.0002 
ep/it:127-  58 niter: 48700  278m 48s (- 3010m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0529  acc: 0.5935  lr: 0.0002 
ep/it:127- 108 niter: 48750  279m 6s (- 3009m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.4476  loss_TTT: 0.0572  acc: 0.5887  lr: 0.0002 
ep/it:127- 158 niter: 48800  279m 23s (- 3009m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4558  loss_TTT: 0.0584  acc: 0.5866  lr: 0.0002 
ep/it:127- 208 niter: 48850  279m 40s (- 3009m 22s) completed:  8%) loss_emb: 0.0000  loss: 1.4296  loss_TTT: 0.0549  acc: 0.5936  lr: 0.0002 
ep/it:127- 258 niter: 48900  279m 57s (- 3009m 6s) completed:  8%) loss_emb: 0.0000  loss: 1.4731  loss_TTT: 0.0565  acc: 0.5829  lr: 0.0002 
ep/it:127- 308 niter: 48950  280m 13s (- 3008m 38s) completed:  8%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0568  acc: 0.5910  lr: 0.0002 
ep/it:127- 358 niter: 49000  280m 30s (- 3008m 19s) completed:  8%) loss_emb: 0.0000  loss: 1.4483  loss_TTT: 0.0594  acc: 0.5886  lr: 0.0002 
Validation time:
Validation loss:1.614, accuracy:0.562
ep/it:128-  25 niter: 49050  280m 51s (- 3008m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4575  loss_TTT: 0.0582  acc: 0.5866  lr: 0.0002 
ep/it:128-  75 niter: 49100  281m 7s (- 3008m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.4333  loss_TTT: 0.0580  acc: 0.5929  lr: 0.0002 
ep/it:128- 125 niter: 49150  281m 24s (- 3007m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.4484  loss_TTT: 0.0568  acc: 0.5882  lr: 0.0002 
ep/it:128- 175 niter: 49200  281m 40s (- 3007m 26s) completed:  8%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0584  acc: 0.5950  lr: 0.0002 
ep/it:128- 225 niter: 49250  281m 57s (- 3007m 6s) completed:  8%) loss_emb: 0.0000  loss: 1.4315  loss_TTT: 0.0572  acc: 0.5939  lr: 0.0002 
ep/it:128- 275 niter: 49300  282m 14s (- 3006m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.4645  loss_TTT: 0.0555  acc: 0.5847  lr: 0.0002 
ep/it:128- 325 niter: 49350  282m 31s (- 3006m 29s) completed:  8%) loss_emb: 0.0000  loss: 1.4410  loss_TTT: 0.0557  acc: 0.5906  lr: 0.0002 
ep/it:128- 375 niter: 49400  282m 48s (- 3006m 6s) completed:  8%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0558  acc: 0.5926  lr: 0.0002 
Validation time:
Validation loss:1.569, accuracy:0.574
Improved accuracy from 0.57 to 0.5740278777868851!!!
ep/it:129-  42 niter: 49450  283m 9s (- 3006m 27s) completed:  8%) loss_emb: 0.0000  loss: 1.4348  loss_TTT: 0.0578  acc: 0.5914  lr: 0.0002 
ep/it:129-  92 niter: 49500  283m 26s (- 3006m 13s) completed:  8%) loss_emb: 0.0000  loss: 1.4370  loss_TTT: 0.0570  acc: 0.5919  lr: 0.0002 
ep/it:129- 142 niter: 49550  283m 43s (- 3005m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.4458  loss_TTT: 0.0570  acc: 0.5892  lr: 0.0002 
ep/it:129- 192 niter: 49600  284m 0s (- 3005m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.4396  loss_TTT: 0.0554  acc: 0.5914  lr: 0.0002 
ep/it:129- 242 niter: 49650  284m 17s (- 3005m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.4348  loss_TTT: 0.0559  acc: 0.5921  lr: 0.0002 
ep/it:129- 292 niter: 49700  284m 33s (- 3004m 44s) completed:  8%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0581  acc: 0.5993  lr: 0.0002 
ep/it:129- 342 niter: 49750  284m 49s (- 3004m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0550  acc: 0.5983  lr: 0.0002 
Validation time:
Validation loss:1.666, accuracy:0.551

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.65it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.89it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.37it/s]
100%|██████████| 47/47 [00:06<00:00,  7.45it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5647914321161807 avg: 2.5647914321161807
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5193218397907913 avg: 2.542056635953486
--> 	 Eva. Repeat 22 :, FID. 0.1050, Diversity Real. 9.9098, Diversity. 9.6450, R_precision_real. [0.50488281 0.69433594 0.79101562], R_precision. [0.49804688 0.67871094 0.79492188], matching_score_real. 2.9103, matching_score_pred. 2.9392, skate_ratio. 0.0463, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7451 (traj_fail_50cm (Traj err)): 0.4766 (kps_fail_20cm): 0.5747 (kps_fail_50cm (Loc. err)): 0.3132 (kps_mean_err(m) (Avg. err)): 0.5258 
ep/it:130-   9 niter: 49800  285m 18s (- 3006m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.4520  loss_TTT: 0.0574  acc: 0.5885  lr: 0.0002 
ep/it:130-  59 niter: 49850  285m 35s (- 3005m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4606  loss_TTT: 0.0561  acc: 0.5853  lr: 0.0002 
ep/it:130- 109 niter: 49900  285m 51s (- 3005m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.4578  loss_TTT: 0.0541  acc: 0.5865  lr: 0.0002 
ep/it:130- 159 niter: 49950  286m 7s (- 3004m 49s) completed:  8%) loss_emb: 0.0000  loss: 1.4519  loss_TTT: 0.0562  acc: 0.5874  lr: 0.0002 
ep/it:130- 209 niter: 50000  286m 24s (- 3004m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0546  acc: 0.5898  lr: 0.0002 
ep/it:130- 259 niter: 50050  286m 41s (- 3004m 2s) completed:  8%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0601  acc: 0.5857  lr: 0.0000 
ep/it:130- 309 niter: 50100  286m 56s (- 3003m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0607  acc: 0.5922  lr: 0.0000 
ep/it:130- 359 niter: 50150  287m 13s (- 3003m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.4379  loss_TTT: 0.0593  acc: 0.5910  lr: 0.0000 
Validation time:
Validation loss:1.642, accuracy:0.558
ep/it:131-  26 niter: 50200  287m 34s (- 3003m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0560  acc: 0.5942  lr: 0.0000 
ep/it:131-  76 niter: 50250  287m 49s (- 3002m 53s) completed:  8%) loss_emb: 0.0000  loss: 1.4247  loss_TTT: 0.0550  acc: 0.5933  lr: 0.0000 
ep/it:131- 126 niter: 50300  288m 6s (- 3002m 26s) completed:  8%) loss_emb: 0.0000  loss: 1.4637  loss_TTT: 0.0574  acc: 0.5841  lr: 0.0000 
ep/it:131- 176 niter: 50350  288m 22s (- 3002m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0531  acc: 0.5972  lr: 0.0000 
ep/it:131- 226 niter: 50400  288m 39s (- 3001m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0551  acc: 0.5977  lr: 0.0000 
ep/it:131- 276 niter: 50450  288m 55s (- 3001m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0580  acc: 0.5931  lr: 0.0000 
ep/it:131- 326 niter: 50500  289m 11s (- 3000m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.4490  loss_TTT: 0.0573  acc: 0.5882  lr: 0.0000 
ep/it:131- 376 niter: 50550  289m 28s (- 3000m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0545  acc: 0.5907  lr: 0.0000 
Validation time:
Validation loss:1.621, accuracy:0.561
ep/it:132-  43 niter: 50600  289m 49s (- 3000m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.4334  loss_TTT: 0.0555  acc: 0.5916  lr: 0.0000 
ep/it:132-  93 niter: 50650  290m 6s (- 3000m 26s) completed:  8%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0572  acc: 0.5980  lr: 0.0000 
ep/it:132- 143 niter: 50700  290m 22s (- 3000m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.4284  loss_TTT: 0.0556  acc: 0.5943  lr: 0.0000 
ep/it:132- 193 niter: 50750  290m 40s (- 2999m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0568  acc: 0.5949  lr: 0.0000 
ep/it:132- 243 niter: 50800  290m 57s (- 2999m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0522  acc: 0.6004  lr: 0.0000 
ep/it:132- 293 niter: 50850  291m 14s (- 2999m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0545  acc: 0.5914  lr: 0.0000 
ep/it:132- 343 niter: 50900  291m 31s (- 2998m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.4252  loss_TTT: 0.0534  acc: 0.5934  lr: 0.0000 
Validation time:
Validation loss:1.676, accuracy:0.549
ep/it:133-  10 niter: 50950  291m 51s (- 2999m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0560  acc: 0.5915  lr: 0.0000 
ep/it:133-  60 niter: 51000  292m 7s (- 2998m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0560  acc: 0.5952  lr: 0.0000 
ep/it:133- 110 niter: 51050  292m 24s (- 2998m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0533  acc: 0.5950  lr: 0.0000 
ep/it:133- 160 niter: 51100  292m 40s (- 2997m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0537  acc: 0.5953  lr: 0.0000 
ep/it:133- 210 niter: 51150  292m 57s (- 2997m 27s) completed:  8%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0528  acc: 0.5937  lr: 0.0000 
ep/it:133- 260 niter: 51200  293m 13s (- 2997m 1s) completed:  8%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0563  acc: 0.5989  lr: 0.0000 
ep/it:133- 310 niter: 51250  293m 30s (- 2996m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0543  acc: 0.6018  lr: 0.0000 
ep/it:133- 360 niter: 51300  293m 47s (- 2996m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0557  acc: 0.5929  lr: 0.0000 
Validation time:
Validation loss:1.608, accuracy:0.565
ep/it:134-  27 niter: 51350  294m 7s (- 2996m 28s) completed:  8%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0542  acc: 0.5958  lr: 0.0000 
ep/it:134-  77 niter: 51400  294m 23s (- 2996m 1s) completed:  8%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0542  acc: 0.6001  lr: 0.0000 
ep/it:134- 127 niter: 51450  294m 39s (- 2995m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0567  acc: 0.5924  lr: 0.0000 
ep/it:134- 177 niter: 51500  294m 55s (- 2995m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0531  acc: 0.5939  lr: 0.0000 
ep/it:134- 227 niter: 51550  295m 12s (- 2994m 43s) completed:  8%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0563  acc: 0.5944  lr: 0.0000 
ep/it:134- 277 niter: 51600  295m 29s (- 2994m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0559  acc: 0.5915  lr: 0.0000 
ep/it:134- 327 niter: 51650  295m 45s (- 2993m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.4661  loss_TTT: 0.0558  acc: 0.5828  lr: 0.0000 
ep/it:134- 377 niter: 51700  296m 1s (- 2993m 27s) completed:  8%) loss_emb: 0.0000  loss: 1.4273  loss_TTT: 0.0547  acc: 0.5939  lr: 0.0000 
Validation time:
Validation loss:1.614, accuracy:0.563
ep/it:135-  44 niter: 51750  296m 21s (- 2993m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0539  acc: 0.5963  lr: 0.0000 
ep/it:135-  94 niter: 51800  296m 37s (- 2993m 12s) completed:  9%) loss_emb: 0.0000  loss: 1.4714  loss_TTT: 0.0562  acc: 0.5812  lr: 0.0000 
ep/it:135- 144 niter: 51850  296m 54s (- 2992m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0556  acc: 0.5931  lr: 0.0000 
ep/it:135- 194 niter: 51900  297m 10s (- 2992m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0528  acc: 0.5957  lr: 0.0000 
ep/it:135- 244 niter: 51950  297m 26s (- 2991m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0540  acc: 0.5879  lr: 0.0000 
ep/it:135- 294 niter: 52000  297m 43s (- 2991m 29s) completed:  9%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0559  acc: 0.5944  lr: 0.0000 
ep/it:135- 344 niter: 52050  297m 59s (- 2991m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0547  acc: 0.5982  lr: 0.0000 
Validation time:
Validation loss:1.613, accuracy:0.562
ep/it:136-  11 niter: 52100  298m 19s (- 2991m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0545  acc: 0.5967  lr: 0.0000 
ep/it:136-  61 niter: 52150  298m 36s (- 2990m 55s) completed:  9%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0539  acc: 0.5963  lr: 0.0000 
ep/it:136- 111 niter: 52200  298m 52s (- 2990m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0545  acc: 0.5935  lr: 0.0000 
ep/it:136- 161 niter: 52250  299m 9s (- 2990m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0527  acc: 0.5954  lr: 0.0000 
ep/it:136- 211 niter: 52300  299m 25s (- 2989m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0566  acc: 0.5924  lr: 0.0000 
ep/it:136- 261 niter: 52350  299m 42s (- 2989m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.4525  loss_TTT: 0.0555  acc: 0.5865  lr: 0.0000 
ep/it:136- 311 niter: 52400  299m 59s (- 2988m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0541  acc: 0.5948  lr: 0.0000 
ep/it:136- 361 niter: 52450  300m 15s (- 2988m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0547  acc: 0.5923  lr: 0.0000 
Validation time:
Validation loss:1.617, accuracy:0.563
ep/it:137-  28 niter: 52500  300m 36s (- 2988m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.4523  loss_TTT: 0.0549  acc: 0.5875  lr: 0.0000 
ep/it:137-  78 niter: 52550  300m 53s (- 2988m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.4420  loss_TTT: 0.0546  acc: 0.5896  lr: 0.0000 
ep/it:137- 128 niter: 52600  301m 10s (- 2988m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0536  acc: 0.5986  lr: 0.0000 
ep/it:137- 178 niter: 52650  301m 27s (- 2987m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0509  acc: 0.6019  lr: 0.0000 
ep/it:137- 228 niter: 52700  301m 44s (- 2987m 38s) completed:  9%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0541  acc: 0.5927  lr: 0.0000 
ep/it:137- 278 niter: 52750  302m 1s (- 2987m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.4296  loss_TTT: 0.0564  acc: 0.5920  lr: 0.0000 
ep/it:137- 328 niter: 52800  302m 18s (- 2987m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0571  acc: 0.5980  lr: 0.0000 
ep/it:137- 378 niter: 52850  302m 35s (- 2986m 38s) completed:  9%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0538  acc: 0.6017  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.567
ep/it:138-  45 niter: 52900  302m 55s (- 2986m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0547  acc: 0.5966  lr: 0.0000 
ep/it:138-  95 niter: 52950  303m 12s (- 2986m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0546  acc: 0.5917  lr: 0.0000 
ep/it:138- 145 niter: 53000  303m 28s (- 2986m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0528  acc: 0.5972  lr: 0.0000 
ep/it:138- 195 niter: 53050  303m 45s (- 2985m 41s) completed:  9%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0527  acc: 0.6018  lr: 0.0000 
ep/it:138- 245 niter: 53100  304m 1s (- 2985m 19s) completed:  9%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0538  acc: 0.5933  lr: 0.0000 
ep/it:138- 295 niter: 53150  304m 18s (- 2984m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0545  acc: 0.5917  lr: 0.0000 
ep/it:138- 345 niter: 53200  304m 35s (- 2984m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.4620  loss_TTT: 0.0569  acc: 0.5851  lr: 0.0000 
Validation time:
Validation loss:1.626, accuracy:0.558
ep/it:139-  12 niter: 53250  304m 56s (- 2984m 55s) completed:  9%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0522  acc: 0.5978  lr: 0.0000 
ep/it:139-  62 niter: 53300  305m 12s (- 2984m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0543  acc: 0.5953  lr: 0.0000 
ep/it:139- 112 niter: 53350  305m 29s (- 2984m 11s) completed:  9%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0554  acc: 0.5914  lr: 0.0000 
ep/it:139- 162 niter: 53400  305m 45s (- 2983m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0561  acc: 0.6024  lr: 0.0000 
ep/it:139- 212 niter: 53450  306m 2s (- 2983m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0542  acc: 0.5944  lr: 0.0000 
ep/it:139- 262 niter: 53500  306m 18s (- 2982m 59s) completed:  9%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0558  acc: 0.5961  lr: 0.0000 
ep/it:139- 312 niter: 53550  306m 35s (- 2982m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.4362  loss_TTT: 0.0542  acc: 0.5900  lr: 0.0000 
ep/it:139- 362 niter: 53600  306m 51s (- 2982m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0554  acc: 0.5954  lr: 0.0000 
Validation time:
Validation loss:1.640, accuracy:0.558

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.52it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.68it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.94it/s]
100%|██████████| 47/47 [00:06<00:00,  6.93it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5446789446286857 avg: 2.5446789446286857
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5830262526869774 avg: 2.5638525986578315
--> 	 Eva. Repeat 22 :, FID. 0.1465, Diversity Real. 9.6135, Diversity. 9.7114, R_precision_real. [0.51074219 0.71191406 0.81542969], R_precision. [0.51074219 0.703125   0.79882812], matching_score_real. 2.9089, matching_score_pred. 3.0004, skate_ratio. 0.0475, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7383 (traj_fail_50cm (Traj err)): 0.4492 (kps_fail_20cm): 0.5467 (kps_fail_50cm (Loc. err)): 0.3004 (kps_mean_err(m) (Avg. err)): 0.4912 
ep/it:140-  29 niter: 53650  307m 20s (- 2983m 44s) completed:  9%) loss_emb: 0.0000  loss: 1.4283  loss_TTT: 0.0537  acc: 0.5906  lr: 0.0000 
ep/it:140-  79 niter: 53700  307m 36s (- 2983m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0557  acc: 0.5939  lr: 0.0000 
ep/it:140- 129 niter: 53750  307m 53s (- 2982m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0535  acc: 0.6019  lr: 0.0000 
ep/it:140- 179 niter: 53800  308m 9s (- 2982m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0532  acc: 0.5940  lr: 0.0000 
ep/it:140- 229 niter: 53850  308m 25s (- 2982m 5s) completed:  9%) loss_emb: 0.0000  loss: 1.4288  loss_TTT: 0.0553  acc: 0.5925  lr: 0.0000 
ep/it:140- 279 niter: 53900  308m 42s (- 2981m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0525  acc: 0.5940  lr: 0.0000 
ep/it:140- 329 niter: 53950  308m 59s (- 2981m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0542  acc: 0.5956  lr: 0.0000 
ep/it:140- 379 niter: 54000  309m 15s (- 2980m 53s) completed:  9%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0554  acc: 0.5941  lr: 0.0000 
Validation time:
Validation loss:1.569, accuracy:0.573
ep/it:141-  46 niter: 54050  309m 35s (- 2981m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0528  acc: 0.5971  lr: 0.0000 
ep/it:141-  96 niter: 54100  309m 52s (- 2980m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0524  acc: 0.5967  lr: 0.0000 
ep/it:141- 146 niter: 54150  310m 8s (- 2980m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0518  acc: 0.5998  lr: 0.0000 
ep/it:141- 196 niter: 54200  310m 24s (- 2979m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.4434  loss_TTT: 0.0534  acc: 0.5865  lr: 0.0000 
ep/it:141- 246 niter: 54250  310m 40s (- 2979m 22s) completed:  9%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0550  acc: 0.5895  lr: 0.0000 
ep/it:141- 296 niter: 54300  310m 56s (- 2978m 55s) completed:  9%) loss_emb: 0.0000  loss: 1.4403  loss_TTT: 0.0564  acc: 0.5888  lr: 0.0000 
ep/it:141- 346 niter: 54350  311m 13s (- 2978m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.4225  loss_TTT: 0.0569  acc: 0.5939  lr: 0.0000 
Validation time:
Validation loss:1.617, accuracy:0.562
ep/it:142-  13 niter: 54400  311m 34s (- 2978m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.4212  loss_TTT: 0.0536  acc: 0.5934  lr: 0.0000 
ep/it:142-  63 niter: 54450  311m 50s (- 2978m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0540  acc: 0.5966  lr: 0.0000 
ep/it:142- 113 niter: 54500  312m 7s (- 2978m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.4492  loss_TTT: 0.0565  acc: 0.5863  lr: 0.0000 
ep/it:142- 163 niter: 54550  312m 24s (- 2977m 44s) completed:  9%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0538  acc: 0.5946  lr: 0.0000 
ep/it:142- 213 niter: 54600  312m 40s (- 2977m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.4443  loss_TTT: 0.0548  acc: 0.5875  lr: 0.0000 
ep/it:142- 263 niter: 54650  312m 57s (- 2976m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0557  acc: 0.5950  lr: 0.0000 
ep/it:142- 313 niter: 54700  313m 14s (- 2976m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0521  acc: 0.5937  lr: 0.0000 
ep/it:142- 363 niter: 54750  313m 30s (- 2976m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0553  acc: 0.5953  lr: 0.0000 
Validation time:
Validation loss:1.642, accuracy:0.557
ep/it:143-  30 niter: 54800  313m 51s (- 2976m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.4634  loss_TTT: 0.0554  acc: 0.5823  lr: 0.0000 
ep/it:143-  80 niter: 54850  314m 7s (- 2976m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0553  acc: 0.5890  lr: 0.0000 
ep/it:143- 130 niter: 54900  314m 23s (- 2975m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.4482  loss_TTT: 0.0537  acc: 0.5867  lr: 0.0000 
ep/it:143- 180 niter: 54950  314m 39s (- 2975m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.4675  loss_TTT: 0.0540  acc: 0.5813  lr: 0.0000 
ep/it:143- 230 niter: 55000  314m 56s (- 2974m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0517  acc: 0.5960  lr: 0.0000 
ep/it:143- 280 niter: 55050  315m 13s (- 2974m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.4338  loss_TTT: 0.0536  acc: 0.5915  lr: 0.0000 
ep/it:143- 330 niter: 55100  315m 30s (- 2974m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0562  acc: 0.5922  lr: 0.0000 
ep/it:143- 380 niter: 55150  315m 46s (- 2973m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0552  acc: 0.5902  lr: 0.0000 
Validation time:
Validation loss:1.579, accuracy:0.571
ep/it:144-  47 niter: 55200  316m 7s (- 2973m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0547  acc: 0.5903  lr: 0.0000 
ep/it:144-  97 niter: 55250  316m 23s (- 2973m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0545  acc: 0.5923  lr: 0.0000 
ep/it:144- 147 niter: 55300  316m 40s (- 2973m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0529  acc: 0.5893  lr: 0.0000 
ep/it:144- 197 niter: 55350  316m 56s (- 2972m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0539  acc: 0.6014  lr: 0.0000 
ep/it:144- 247 niter: 55400  317m 13s (- 2972m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0565  acc: 0.5956  lr: 0.0000 
ep/it:144- 297 niter: 55450  317m 29s (- 2971m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0534  acc: 0.5982  lr: 0.0000 
ep/it:144- 347 niter: 55500  317m 45s (- 2971m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0554  acc: 0.5949  lr: 0.0000 
Validation time:
Validation loss:1.655, accuracy:0.551
ep/it:145-  14 niter: 55550  318m 6s (- 2971m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0533  acc: 0.5942  lr: 0.0000 
ep/it:145-  64 niter: 55600  318m 22s (- 2971m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0543  acc: 0.5909  lr: 0.0000 
ep/it:145- 114 niter: 55650  318m 38s (- 2970m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.4358  loss_TTT: 0.0537  acc: 0.5906  lr: 0.0000 
ep/it:145- 164 niter: 55700  318m 55s (- 2970m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0564  acc: 0.5982  lr: 0.0000 
ep/it:145- 214 niter: 55750  319m 11s (- 2970m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0531  acc: 0.5955  lr: 0.0000 
ep/it:145- 264 niter: 55800  319m 28s (- 2969m 49s) completed:  9%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0537  acc: 0.6032  lr: 0.0000 
ep/it:145- 314 niter: 55850  319m 46s (- 2969m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.4327  loss_TTT: 0.0540  acc: 0.5918  lr: 0.0000 
ep/it:145- 364 niter: 55900  320m 2s (- 2969m 6s) completed:  9%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0524  acc: 0.5967  lr: 0.0000 
Validation time:
Validation loss:1.575, accuracy:0.569
ep/it:146-  31 niter: 55950  320m 22s (- 2969m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.4419  loss_TTT: 0.0544  acc: 0.5884  lr: 0.0000 
ep/it:146-  81 niter: 56000  320m 38s (- 2968m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0538  acc: 0.5903  lr: 0.0000 
ep/it:146- 131 niter: 56050  320m 55s (- 2968m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0539  acc: 0.5906  lr: 0.0000 
ep/it:146- 181 niter: 56100  321m 11s (- 2968m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0552  acc: 0.5982  lr: 0.0000 
ep/it:146- 231 niter: 56150  321m 28s (- 2967m 38s) completed:  9%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0554  acc: 0.5930  lr: 0.0000 
ep/it:146- 281 niter: 56200  321m 44s (- 2967m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0523  acc: 0.5923  lr: 0.0000 
ep/it:146- 331 niter: 56250  322m 0s (- 2966m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0526  acc: 0.5934  lr: 0.0000 
ep/it:146- 381 niter: 56300  322m 16s (- 2966m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.4415  loss_TTT: 0.0559  acc: 0.5893  lr: 0.0000 
Validation time:
Validation loss:1.598, accuracy:0.565
ep/it:147-  48 niter: 56350  322m 36s (- 2966m 26s) completed:  9%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0522  acc: 0.6015  lr: 0.0000 
ep/it:147-  98 niter: 56400  322m 53s (- 2966m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.4352  loss_TTT: 0.0542  acc: 0.5906  lr: 0.0000 
ep/it:147- 148 niter: 56450  323m 9s (- 2965m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0542  acc: 0.5927  lr: 0.0000 
ep/it:147- 198 niter: 56500  323m 26s (- 2965m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0540  acc: 0.5946  lr: 0.0000 
ep/it:147- 248 niter: 56550  323m 43s (- 2965m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0516  acc: 0.5983  lr: 0.0000 
ep/it:147- 298 niter: 56600  324m 0s (- 2964m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0531  acc: 0.5985  lr: 0.0000 
ep/it:147- 348 niter: 56650  324m 16s (- 2964m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0538  acc: 0.5973  lr: 0.0000 
Validation time:
Validation loss:1.625, accuracy:0.560
ep/it:148-  15 niter: 56700  324m 36s (- 2964m 28s) completed:  9%) loss_emb: 0.0000  loss: 1.4380  loss_TTT: 0.0540  acc: 0.5886  lr: 0.0000 
ep/it:148-  65 niter: 56750  324m 53s (- 2964m 5s) completed:  9%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0545  acc: 0.5921  lr: 0.0000 
ep/it:148- 115 niter: 56800  325m 9s (- 2963m 41s) completed:  9%) loss_emb: 0.0000  loss: 1.4638  loss_TTT: 0.0546  acc: 0.5831  lr: 0.0000 
ep/it:148- 165 niter: 56850  325m 26s (- 2963m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.4367  loss_TTT: 0.0546  acc: 0.5896  lr: 0.0000 
ep/it:148- 215 niter: 56900  325m 42s (- 2962m 55s) completed:  9%) loss_emb: 0.0000  loss: 1.4207  loss_TTT: 0.0514  acc: 0.5939  lr: 0.0000 
ep/it:148- 265 niter: 56950  326m 0s (- 2962m 37s) completed:  9%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0545  acc: 0.5992  lr: 0.0000 
ep/it:148- 315 niter: 57000  326m 16s (- 2962m 13s) completed:  9%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0553  acc: 0.6057  lr: 0.0000 
ep/it:148- 365 niter: 57050  326m 33s (- 2961m 55s) completed:  9%) loss_emb: 0.0000  loss: 1.4517  loss_TTT: 0.0548  acc: 0.5864  lr: 0.0000 
Validation time:
Validation loss:1.608, accuracy:0.565
ep/it:149-  32 niter: 57100  326m 54s (- 2962m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0513  acc: 0.5943  lr: 0.0000 
ep/it:149-  82 niter: 57150  327m 10s (- 2961m 41s) completed:  9%) loss_emb: 0.0000  loss: 1.4541  loss_TTT: 0.0552  acc: 0.5861  lr: 0.0000 
ep/it:149- 132 niter: 57200  327m 26s (- 2961m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0536  acc: 0.5930  lr: 0.0000 
ep/it:149- 182 niter: 57250  327m 43s (- 2960m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.4328  loss_TTT: 0.0546  acc: 0.5912  lr: 0.0000 
ep/it:149- 232 niter: 57300  328m 0s (- 2960m 35s) completed:  9%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0524  acc: 0.5991  lr: 0.0000 
ep/it:149- 282 niter: 57350  328m 16s (- 2960m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0533  acc: 0.5933  lr: 0.0000 
ep/it:149- 332 niter: 57400  328m 33s (- 2959m 55s) completed:  9%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0544  acc: 0.5924  lr: 0.0000 
ep/it:149- 382 niter: 57450  328m 50s (- 2959m 30s) completed: 10%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0541  acc: 0.5948  lr: 0.0000 
Validation time:
Validation loss:1.605, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.32it/s]
 34%|███▍      | 16/47 [00:03<00:07,  4.24it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.76it/s]
100%|██████████| 47/47 [00:07<00:00,  6.61it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5741092208772898 avg: 2.5741092208772898
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5445206249132752 avg: 2.5593149228952825
--> 	 Eva. Repeat 22 :, FID. 0.1123, Diversity Real. 9.7996, Diversity. 9.4931, R_precision_real. [0.53027344 0.72070312 0.81640625], R_precision. [0.50683594 0.69238281 0.77929688], matching_score_real. 2.8977, matching_score_pred. 3.0181, skate_ratio. 0.0473, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7021 (traj_fail_50cm (Traj err)): 0.4521 (kps_fail_20cm): 0.5333 (kps_fail_50cm (Loc. err)): 0.2958 (kps_mean_err(m) (Avg. err)): 0.4978 
ep/it:150-  49 niter: 57500  329m 18s (- 2960m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0571  acc: 0.5953  lr: 0.0000 
ep/it:150-  99 niter: 57550  329m 35s (- 2960m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0535  acc: 0.5991  lr: 0.0000 
ep/it:150- 149 niter: 57600  329m 52s (- 2960m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0538  acc: 0.5980  lr: 0.0000 
ep/it:150- 199 niter: 57650  330m 9s (- 2959m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0519  acc: 0.5968  lr: 0.0000 
ep/it:150- 249 niter: 57700  330m 26s (- 2959m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0543  acc: 0.5966  lr: 0.0000 
ep/it:150- 299 niter: 57750  330m 43s (- 2959m 19s) completed: 10%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0521  acc: 0.5914  lr: 0.0000 
ep/it:150- 349 niter: 57800  330m 59s (- 2958m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0518  acc: 0.5870  lr: 0.0000 
Validation time:
Validation loss:1.615, accuracy:0.562
ep/it:151-  16 niter: 57850  331m 20s (- 2959m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0546  acc: 0.5979  lr: 0.0000 
ep/it:151-  66 niter: 57900  331m 36s (- 2958m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0532  acc: 0.5989  lr: 0.0000 
ep/it:151- 116 niter: 57950  331m 53s (- 2958m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4382  loss_TTT: 0.0545  acc: 0.5892  lr: 0.0000 
ep/it:151- 166 niter: 58000  332m 9s (- 2957m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0509  acc: 0.6014  lr: 0.0000 
ep/it:151- 216 niter: 58050  332m 26s (- 2957m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0542  acc: 0.5893  lr: 0.0000 
ep/it:151- 266 niter: 58100  332m 43s (- 2957m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.4287  loss_TTT: 0.0534  acc: 0.5908  lr: 0.0000 
ep/it:151- 316 niter: 58150  332m 59s (- 2956m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0526  acc: 0.5922  lr: 0.0000 
ep/it:151- 366 niter: 58200  333m 16s (- 2956m 30s) completed: 10%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0518  acc: 0.5886  lr: 0.0000 
Validation time:
Validation loss:1.618, accuracy:0.562
ep/it:152-  33 niter: 58250  333m 36s (- 2956m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0549  acc: 0.5976  lr: 0.0000 
ep/it:152-  83 niter: 58300  333m 52s (- 2956m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0523  acc: 0.6017  lr: 0.0000 
ep/it:152- 133 niter: 58350  334m 9s (- 2955m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0532  acc: 0.5932  lr: 0.0000 
ep/it:152- 183 niter: 58400  334m 25s (- 2955m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0543  acc: 0.6015  lr: 0.0000 
ep/it:152- 233 niter: 58450  334m 41s (- 2954m 57s) completed: 10%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0551  acc: 0.5909  lr: 0.0000 
ep/it:152- 283 niter: 58500  334m 58s (- 2954m 37s) completed: 10%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0518  acc: 0.5952  lr: 0.0000 
ep/it:152- 333 niter: 58550  335m 15s (- 2954m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0525  acc: 0.5973  lr: 0.0000 
Validation time:
Validation loss:1.616, accuracy:0.563
ep/it:153-   0 niter: 58600  335m 35s (- 2954m 30s) completed: 10%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0555  acc: 0.5897  lr: 0.0000 
ep/it:153-  50 niter: 58650  335m 52s (- 2954m 9s) completed: 10%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0520  acc: 0.5937  lr: 0.0000 
ep/it:153- 100 niter: 58700  336m 9s (- 2953m 47s) completed: 10%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0537  acc: 0.5920  lr: 0.0000 
ep/it:153- 150 niter: 58750  336m 25s (- 2953m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.4292  loss_TTT: 0.0534  acc: 0.5905  lr: 0.0000 
ep/it:153- 200 niter: 58800  336m 42s (- 2953m 5s) completed: 10%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0535  acc: 0.5963  lr: 0.0000 
ep/it:153- 250 niter: 58850  336m 59s (- 2952m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0511  acc: 0.5937  lr: 0.0000 
ep/it:153- 300 niter: 58900  337m 15s (- 2952m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0522  acc: 0.5940  lr: 0.0000 
ep/it:153- 350 niter: 58950  337m 32s (- 2952m 0s) completed: 10%) loss_emb: 0.0000  loss: 1.4347  loss_TTT: 0.0544  acc: 0.5889  lr: 0.0000 
Validation time:
Validation loss:1.610, accuracy:0.564
ep/it:154-  17 niter: 59000  337m 53s (- 2952m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0548  acc: 0.5852  lr: 0.0000 
ep/it:154-  67 niter: 59050  338m 10s (- 2951m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0548  acc: 0.5921  lr: 0.0000 
ep/it:154- 117 niter: 59100  338m 27s (- 2951m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0547  acc: 0.5926  lr: 0.0000 
ep/it:154- 167 niter: 59150  338m 44s (- 2951m 19s) completed: 10%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0523  acc: 0.5912  lr: 0.0000 
ep/it:154- 217 niter: 59200  339m 0s (- 2950m 54s) completed: 10%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0549  acc: 0.5945  lr: 0.0000 
ep/it:154- 267 niter: 59250  339m 17s (- 2950m 32s) completed: 10%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0525  acc: 0.5969  lr: 0.0000 
ep/it:154- 317 niter: 59300  339m 34s (- 2950m 15s) completed: 10%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0546  acc: 0.5930  lr: 0.0000 
ep/it:154- 367 niter: 59350  339m 51s (- 2949m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0553  acc: 0.5937  lr: 0.0000 
Validation time:
Validation loss:1.578, accuracy:0.571
ep/it:155-  34 niter: 59400  340m 12s (- 2950m 11s) completed: 10%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0508  acc: 0.5970  lr: 0.0000 
ep/it:155-  84 niter: 59450  340m 29s (- 2949m 51s) completed: 10%) loss_emb: 0.0000  loss: 1.4227  loss_TTT: 0.0517  acc: 0.5939  lr: 0.0000 
ep/it:155- 134 niter: 59500  340m 45s (- 2949m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0576  acc: 0.5909  lr: 0.0000 
ep/it:155- 184 niter: 59550  341m 2s (- 2949m 5s) completed: 10%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0532  acc: 0.5948  lr: 0.0000 
ep/it:155- 234 niter: 59600  341m 19s (- 2948m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0544  acc: 0.5935  lr: 0.0000 
ep/it:155- 284 niter: 59650  341m 35s (- 2948m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0532  acc: 0.5920  lr: 0.0000 
ep/it:155- 334 niter: 59700  341m 52s (- 2948m 0s) completed: 10%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0533  acc: 0.5956  lr: 0.0000 
Validation time:
Validation loss:1.614, accuracy:0.561
ep/it:156-   1 niter: 59750  342m 12s (- 2948m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0507  acc: 0.5986  lr: 0.0000 
ep/it:156-  51 niter: 59800  342m 29s (- 2947m 46s) completed: 10%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0532  acc: 0.5914  lr: 0.0000 
ep/it:156- 101 niter: 59850  342m 46s (- 2947m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0538  acc: 0.5957  lr: 0.0000 
ep/it:156- 151 niter: 59900  343m 2s (- 2947m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.4370  loss_TTT: 0.0562  acc: 0.5891  lr: 0.0000 
ep/it:156- 201 niter: 59950  343m 19s (- 2946m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0519  acc: 0.5984  lr: 0.0000 
ep/it:156- 251 niter: 60000  343m 36s (- 2946m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0537  acc: 0.5979  lr: 0.0000 
ep/it:156- 301 niter: 60050  343m 52s (- 2946m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.4570  loss_TTT: 0.0540  acc: 0.5844  lr: 0.0000 
ep/it:156- 351 niter: 60100  344m 9s (- 2945m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0529  acc: 0.5890  lr: 0.0000 
Validation time:
Validation loss:1.658, accuracy:0.551
ep/it:157-  18 niter: 60150  344m 29s (- 2945m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0531  acc: 0.5935  lr: 0.0000 
ep/it:157-  68 niter: 60200  344m 45s (- 2945m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.4332  loss_TTT: 0.0530  acc: 0.5901  lr: 0.0000 
ep/it:157- 118 niter: 60250  345m 2s (- 2945m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0540  acc: 0.5954  lr: 0.0000 
ep/it:157- 168 niter: 60300  345m 19s (- 2944m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0536  acc: 0.5914  lr: 0.0000 
ep/it:157- 218 niter: 60350  345m 36s (- 2944m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0510  acc: 0.5953  lr: 0.0000 
ep/it:157- 268 niter: 60400  345m 53s (- 2944m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0524  acc: 0.5933  lr: 0.0000 
ep/it:157- 318 niter: 60450  346m 9s (- 2943m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.4384  loss_TTT: 0.0519  acc: 0.5897  lr: 0.0000 
ep/it:157- 368 niter: 60500  346m 26s (- 2943m 19s) completed: 10%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0537  acc: 0.5927  lr: 0.0000 
Validation time:
Validation loss:1.607, accuracy:0.562
ep/it:158-  35 niter: 60550  346m 47s (- 2943m 35s) completed: 10%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0534  acc: 0.5939  lr: 0.0000 
ep/it:158-  85 niter: 60600  347m 4s (- 2943m 13s) completed: 10%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0520  acc: 0.5919  lr: 0.0000 
ep/it:158- 135 niter: 60650  347m 20s (- 2942m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.4386  loss_TTT: 0.0536  acc: 0.5890  lr: 0.0000 
ep/it:158- 185 niter: 60700  347m 37s (- 2942m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0522  acc: 0.6013  lr: 0.0000 
ep/it:158- 235 niter: 60750  347m 54s (- 2942m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4340  loss_TTT: 0.0544  acc: 0.5898  lr: 0.0000 
ep/it:158- 285 niter: 60800  348m 10s (- 2941m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.4360  loss_TTT: 0.0517  acc: 0.5895  lr: 0.0000 
ep/it:158- 335 niter: 60850  348m 26s (- 2941m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0534  acc: 0.5901  lr: 0.0000 
Validation time:
Validation loss:1.605, accuracy:0.564
ep/it:159-   2 niter: 60900  348m 46s (- 2941m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0554  acc: 0.5908  lr: 0.0000 
ep/it:159-  52 niter: 60950  349m 3s (- 2941m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0537  acc: 0.5969  lr: 0.0000 
ep/it:159- 102 niter: 61000  349m 20s (- 2940m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0542  acc: 0.5969  lr: 0.0000 
ep/it:159- 152 niter: 61050  349m 37s (- 2940m 26s) completed: 10%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0538  acc: 0.5946  lr: 0.0000 
ep/it:159- 202 niter: 61100  349m 53s (- 2940m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0532  acc: 0.5955  lr: 0.0000 
ep/it:159- 252 niter: 61150  350m 10s (- 2939m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0543  acc: 0.5872  lr: 0.0000 
ep/it:159- 302 niter: 61200  350m 26s (- 2939m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0529  acc: 0.5956  lr: 0.0000 
ep/it:159- 352 niter: 61250  350m 43s (- 2938m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0535  acc: 0.5948  lr: 0.0000 
Validation time:
Validation loss:1.633, accuracy:0.555

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.78it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.95it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.30it/s]
100%|██████████| 47/47 [00:06<00:00,  7.39it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.555704008322209 avg: 2.555704008322209
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.533941763918847 avg: 2.544822886120528
--> 	 Eva. Repeat 22 :, FID. 0.1572, Diversity Real. 9.7314, Diversity. 9.8478, R_precision_real. [0.51367188 0.70996094 0.81835938], R_precision. [0.5234375  0.69335938 0.78515625], matching_score_real. 2.9125, matching_score_pred. 3.0466, skate_ratio. 0.0495, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7344 (traj_fail_50cm (Traj err)): 0.4404 (kps_fail_20cm): 0.5538 (kps_fail_50cm (Loc. err)): 0.2862 (kps_mean_err(m) (Avg. err)): 0.4899 
ep/it:160-  19 niter: 61300  351m 10s (- 2940m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0551  acc: 0.5932  lr: 0.0000 
ep/it:160-  69 niter: 61350  351m 27s (- 2939m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0526  acc: 0.5931  lr: 0.0000 
ep/it:160- 119 niter: 61400  351m 43s (- 2939m 17s) completed: 10%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0527  acc: 0.5974  lr: 0.0000 
ep/it:160- 169 niter: 61450  352m 0s (- 2938m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0537  acc: 0.5964  lr: 0.0000 
ep/it:160- 219 niter: 61500  352m 17s (- 2938m 34s) completed: 10%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0541  acc: 0.5941  lr: 0.0000 
ep/it:160- 269 niter: 61550  352m 34s (- 2938m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0535  acc: 0.5972  lr: 0.0000 
ep/it:160- 319 niter: 61600  352m 51s (- 2937m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0531  acc: 0.6006  lr: 0.0000 
ep/it:160- 369 niter: 61650  353m 8s (- 2937m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0525  acc: 0.5964  lr: 0.0000 
Validation time:
Validation loss:1.596, accuracy:0.566
ep/it:161-  36 niter: 61700  353m 28s (- 2937m 48s) completed: 10%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0520  acc: 0.5977  lr: 0.0000 
ep/it:161-  86 niter: 61750  353m 45s (- 2937m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0525  acc: 0.5950  lr: 0.0000 
ep/it:161- 136 niter: 61800  354m 2s (- 2937m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0534  acc: 0.5976  lr: 0.0000 
ep/it:161- 186 niter: 61850  354m 19s (- 2936m 51s) completed: 10%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0533  acc: 0.5959  lr: 0.0000 
ep/it:161- 236 niter: 61900  354m 36s (- 2936m 32s) completed: 10%) loss_emb: 0.0000  loss: 1.4420  loss_TTT: 0.0528  acc: 0.5876  lr: 0.0000 
ep/it:161- 286 niter: 61950  354m 53s (- 2936m 15s) completed: 10%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0535  acc: 0.5909  lr: 0.0000 
ep/it:161- 336 niter: 62000  355m 10s (- 2935m 53s) completed: 10%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0529  acc: 0.5902  lr: 0.0000 
Validation time:
Validation loss:1.598, accuracy:0.566
ep/it:162-   3 niter: 62050  355m 30s (- 2936m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0539  acc: 0.5907  lr: 0.0000 
ep/it:162-  53 niter: 62100  355m 47s (- 2935m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0519  acc: 0.5954  lr: 0.0000 
ep/it:162- 103 niter: 62150  356m 4s (- 2935m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4466  loss_TTT: 0.0539  acc: 0.5866  lr: 0.0000 
ep/it:162- 153 niter: 62200  356m 21s (- 2935m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.4448  loss_TTT: 0.0537  acc: 0.5866  lr: 0.0000 
ep/it:162- 203 niter: 62250  356m 37s (- 2934m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.4472  loss_TTT: 0.0548  acc: 0.5868  lr: 0.0000 
ep/it:162- 253 niter: 62300  356m 54s (- 2934m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0533  acc: 0.5895  lr: 0.0000 
ep/it:162- 303 niter: 62350  357m 11s (- 2933m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.4558  loss_TTT: 0.0548  acc: 0.5846  lr: 0.0000 
ep/it:162- 353 niter: 62400  357m 27s (- 2933m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0539  acc: 0.5896  lr: 0.0000 
Validation time:
Validation loss:1.616, accuracy:0.560
ep/it:163-  20 niter: 62450  357m 47s (- 2933m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0542  acc: 0.5963  lr: 0.0000 
ep/it:163-  70 niter: 62500  358m 3s (- 2933m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0523  acc: 0.6009  lr: 0.0000 
ep/it:163- 120 niter: 62550  358m 21s (- 2932m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.4461  loss_TTT: 0.0543  acc: 0.5877  lr: 0.0000 
ep/it:163- 170 niter: 62600  358m 37s (- 2932m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0530  acc: 0.5905  lr: 0.0000 
ep/it:163- 220 niter: 62650  358m 54s (- 2932m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.4073  loss_TTT: 0.0531  acc: 0.5988  lr: 0.0000 
ep/it:163- 270 niter: 62700  359m 10s (- 2931m 51s) completed: 10%) loss_emb: 0.0000  loss: 1.4296  loss_TTT: 0.0531  acc: 0.5909  lr: 0.0000 
ep/it:163- 320 niter: 62750  359m 28s (- 2931m 35s) completed: 10%) loss_emb: 0.0000  loss: 1.4156  loss_TTT: 0.0523  acc: 0.5943  lr: 0.0000 
ep/it:163- 370 niter: 62800  359m 45s (- 2931m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0523  acc: 0.5925  lr: 0.0000 
Validation time:
Validation loss:1.636, accuracy:0.557
ep/it:164-  37 niter: 62850  360m 5s (- 2931m 27s) completed: 10%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0523  acc: 0.5998  lr: 0.0000 
ep/it:164-  87 niter: 62900  360m 22s (- 2931m 10s) completed: 10%) loss_emb: 0.0000  loss: 1.4490  loss_TTT: 0.0551  acc: 0.5861  lr: 0.0000 
ep/it:164- 137 niter: 62950  360m 39s (- 2930m 48s) completed: 10%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0514  acc: 0.5964  lr: 0.0000 
ep/it:164- 187 niter: 63000  360m 55s (- 2930m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0525  acc: 0.5955  lr: 0.0000 
ep/it:164- 237 niter: 63050  361m 13s (- 2930m 9s) completed: 10%) loss_emb: 0.0000  loss: 1.4350  loss_TTT: 0.0528  acc: 0.5895  lr: 0.0000 
ep/it:164- 287 niter: 63100  361m 29s (- 2929m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.4376  loss_TTT: 0.0553  acc: 0.5887  lr: 0.0000 
ep/it:164- 337 niter: 63150  361m 45s (- 2929m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0530  acc: 0.5983  lr: 0.0000 
Validation time:
Validation loss:1.622, accuracy:0.560
ep/it:165-   4 niter: 63200  362m 6s (- 2929m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0533  acc: 0.6020  lr: 0.0000 
ep/it:165-  54 niter: 63250  362m 23s (- 2929m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0544  acc: 0.6005  lr: 0.0000 
ep/it:165- 104 niter: 63300  362m 39s (- 2928m 48s) completed: 11%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0523  acc: 0.5923  lr: 0.0000 
ep/it:165- 154 niter: 63350  362m 56s (- 2928m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0525  acc: 0.5920  lr: 0.0000 
ep/it:165- 204 niter: 63400  363m 13s (- 2928m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0538  acc: 0.5953  lr: 0.0000 
ep/it:165- 254 niter: 63450  363m 29s (- 2927m 39s) completed: 11%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0544  acc: 0.5947  lr: 0.0000 
ep/it:165- 304 niter: 63500  363m 45s (- 2927m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0536  acc: 0.5893  lr: 0.0000 
ep/it:165- 354 niter: 63550  364m 2s (- 2926m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.4340  loss_TTT: 0.0530  acc: 0.5895  lr: 0.0000 
Validation time:
Validation loss:1.627, accuracy:0.557
ep/it:166-  21 niter: 63600  364m 22s (- 2926m 59s) completed: 11%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0547  acc: 0.5877  lr: 0.0000 
ep/it:166-  71 niter: 63650  364m 38s (- 2926m 38s) completed: 11%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0521  acc: 0.5898  lr: 0.0000 
ep/it:166- 121 niter: 63700  364m 55s (- 2926m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0547  acc: 0.5914  lr: 0.0000 
ep/it:166- 171 niter: 63750  365m 12s (- 2925m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0558  acc: 0.5940  lr: 0.0000 
ep/it:166- 221 niter: 63800  365m 29s (- 2925m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.4349  loss_TTT: 0.0515  acc: 0.5890  lr: 0.0000 
ep/it:166- 271 niter: 63850  365m 46s (- 2925m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0534  acc: 0.5964  lr: 0.0000 
ep/it:166- 321 niter: 63900  366m 2s (- 2924m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.4288  loss_TTT: 0.0518  acc: 0.5921  lr: 0.0000 
ep/it:166- 371 niter: 63950  366m 19s (- 2924m 34s) completed: 11%) loss_emb: 0.0000  loss: 1.4480  loss_TTT: 0.0529  acc: 0.5854  lr: 0.0000 
Validation time:
Validation loss:1.620, accuracy:0.560
ep/it:167-  38 niter: 64000  366m 39s (- 2924m 42s) completed: 11%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0507  acc: 0.5991  lr: 0.0000 
ep/it:167-  88 niter: 64050  366m 56s (- 2924m 22s) completed: 11%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0529  acc: 0.5975  lr: 0.0000 
ep/it:167- 138 niter: 64100  367m 12s (- 2923m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0557  acc: 0.5918  lr: 0.0000 
ep/it:167- 188 niter: 64150  367m 28s (- 2923m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0526  acc: 0.5970  lr: 0.0000 
ep/it:167- 238 niter: 64200  367m 45s (- 2923m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0539  acc: 0.5935  lr: 0.0000 
ep/it:167- 288 niter: 64250  368m 1s (- 2922m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0508  acc: 0.5960  lr: 0.0000 
ep/it:167- 338 niter: 64300  368m 17s (- 2922m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0535  acc: 0.5920  lr: 0.0000 
Validation time:
Validation loss:1.591, accuracy:0.570
ep/it:168-   5 niter: 64350  368m 38s (- 2922m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0536  acc: 0.5901  lr: 0.0000 
ep/it:168-  55 niter: 64400  368m 54s (- 2922m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0545  acc: 0.5918  lr: 0.0000 
ep/it:168- 105 niter: 64450  369m 10s (- 2921m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0518  acc: 0.5946  lr: 0.0000 
ep/it:168- 155 niter: 64500  369m 26s (- 2921m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0522  acc: 0.5951  lr: 0.0000 
ep/it:168- 205 niter: 64550  369m 43s (- 2920m 49s) completed: 11%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0540  acc: 0.5951  lr: 0.0000 
ep/it:168- 255 niter: 64600  369m 59s (- 2920m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0544  acc: 0.5935  lr: 0.0000 
ep/it:168- 305 niter: 64650  370m 15s (- 2920m 0s) completed: 11%) loss_emb: 0.0000  loss: 1.4403  loss_TTT: 0.0520  acc: 0.5875  lr: 0.0000 
ep/it:168- 355 niter: 64700  370m 31s (- 2919m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0530  acc: 0.5945  lr: 0.0000 
Validation time:
Validation loss:1.630, accuracy:0.557
ep/it:169-  22 niter: 64750  370m 51s (- 2919m 39s) completed: 11%) loss_emb: 0.0000  loss: 1.4317  loss_TTT: 0.0529  acc: 0.5901  lr: 0.0000 
ep/it:169-  72 niter: 64800  371m 8s (- 2919m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4072  loss_TTT: 0.0526  acc: 0.5978  lr: 0.0000 
ep/it:169- 122 niter: 64850  371m 24s (- 2918m 49s) completed: 11%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0527  acc: 0.5999  lr: 0.0000 
ep/it:169- 172 niter: 64900  371m 40s (- 2918m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0510  acc: 0.5897  lr: 0.0000 
ep/it:169- 222 niter: 64950  371m 56s (- 2918m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.4266  loss_TTT: 0.0532  acc: 0.5926  lr: 0.0000 
ep/it:169- 272 niter: 65000  372m 14s (- 2917m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0520  acc: 0.5968  lr: 0.0000 
ep/it:169- 322 niter: 65050  372m 30s (- 2917m 24s) completed: 11%) loss_emb: 0.0000  loss: 1.4409  loss_TTT: 0.0539  acc: 0.5884  lr: 0.0000 
ep/it:169- 372 niter: 65100  372m 47s (- 2917m 5s) completed: 11%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0526  acc: 0.5933  lr: 0.0000 
Validation time:
Validation loss:1.606, accuracy:0.565

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.52it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.83it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.19it/s]
100%|██████████| 47/47 [00:06<00:00,  7.24it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.550653625279665 avg: 2.550653625279665
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.52797582000494 avg: 2.5393147226423025
--> 	 Eva. Repeat 22 :, FID. 0.1182, Diversity Real. 9.4761, Diversity. 9.5876, R_precision_real. [0.5078125  0.71679688 0.80859375], R_precision. [0.4921875  0.68164062 0.79882812], matching_score_real. 2.8989, matching_score_pred. 2.9605, skate_ratio. 0.0453, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7207 (traj_fail_50cm (Traj err)): 0.4346 (kps_fail_20cm): 0.5370 (kps_fail_50cm (Loc. err)): 0.2837 (kps_mean_err(m) (Avg. err)): 0.4722 
ep/it:170-  39 niter: 65150  373m 16s (- 2918m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0544  acc: 0.5919  lr: 0.0000 
ep/it:170-  89 niter: 65200  373m 33s (- 2917m 57s) completed: 11%) loss_emb: 0.0000  loss: 1.4413  loss_TTT: 0.0539  acc: 0.5887  lr: 0.0000 
ep/it:170- 139 niter: 65250  373m 50s (- 2917m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0527  acc: 0.5962  lr: 0.0000 
ep/it:170- 189 niter: 65300  374m 6s (- 2917m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0515  acc: 0.5962  lr: 0.0000 
ep/it:170- 239 niter: 65350  374m 23s (- 2916m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.4304  loss_TTT: 0.0527  acc: 0.5909  lr: 0.0000 
ep/it:170- 289 niter: 65400  374m 39s (- 2916m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0532  acc: 0.5962  lr: 0.0000 
ep/it:170- 339 niter: 65450  374m 56s (- 2916m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0542  acc: 0.5937  lr: 0.0000 
Validation time:
Validation loss:1.583, accuracy:0.567
ep/it:171-   6 niter: 65500  375m 17s (- 2916m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0531  acc: 0.5973  lr: 0.0000 
ep/it:171-  56 niter: 65550  375m 34s (- 2916m 1s) completed: 11%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0523  acc: 0.6019  lr: 0.0000 
ep/it:171- 106 niter: 65600  375m 50s (- 2915m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0539  acc: 0.5931  lr: 0.0000 
ep/it:171- 156 niter: 65650  376m 7s (- 2915m 22s) completed: 11%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0524  acc: 0.5898  lr: 0.0000 
ep/it:171- 206 niter: 65700  376m 24s (- 2915m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0518  acc: 0.5992  lr: 0.0000 
ep/it:171- 256 niter: 65750  376m 41s (- 2914m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0543  acc: 0.5912  lr: 0.0000 
ep/it:171- 306 niter: 65800  376m 57s (- 2914m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0529  acc: 0.5975  lr: 0.0000 
ep/it:171- 356 niter: 65850  377m 14s (- 2913m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0522  acc: 0.5964  lr: 0.0000 
Validation time:
Validation loss:1.563, accuracy:0.575
Improved accuracy from 0.57 to 0.574985260548799!!!
ep/it:172-  23 niter: 65900  377m 35s (- 2914m 8s) completed: 11%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0551  acc: 0.5960  lr: 0.0000 
ep/it:172-  73 niter: 65950  377m 52s (- 2913m 49s) completed: 11%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0530  acc: 0.5971  lr: 0.0000 
ep/it:172- 123 niter: 66000  378m 8s (- 2913m 27s) completed: 11%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0540  acc: 0.5916  lr: 0.0000 
ep/it:172- 173 niter: 66050  378m 26s (- 2913m 10s) completed: 11%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0524  acc: 0.5973  lr: 0.0000 
ep/it:172- 223 niter: 66100  378m 42s (- 2912m 48s) completed: 11%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0512  acc: 0.5931  lr: 0.0000 
ep/it:172- 273 niter: 66150  378m 58s (- 2912m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0536  acc: 0.5924  lr: 0.0000 
ep/it:172- 323 niter: 66200  379m 15s (- 2911m 59s) completed: 11%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0532  acc: 0.6001  lr: 0.0000 
ep/it:172- 373 niter: 66250  379m 31s (- 2911m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0522  acc: 0.5954  lr: 0.0000 
Validation time:
Validation loss:1.599, accuracy:0.564
ep/it:173-  40 niter: 66300  379m 52s (- 2911m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0511  acc: 0.5976  lr: 0.0000 
ep/it:173-  90 niter: 66350  380m 9s (- 2911m 27s) completed: 11%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0541  acc: 0.5885  lr: 0.0000 
ep/it:173- 140 niter: 66400  380m 25s (- 2911m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.4519  loss_TTT: 0.0524  acc: 0.5850  lr: 0.0000 
ep/it:173- 190 niter: 66450  380m 42s (- 2910m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0528  acc: 0.5999  lr: 0.0000 
ep/it:173- 240 niter: 66500  380m 58s (- 2910m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0534  acc: 0.5946  lr: 0.0000 
ep/it:173- 290 niter: 66550  381m 15s (- 2909m 58s) completed: 11%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0524  acc: 0.5937  lr: 0.0000 
ep/it:173- 340 niter: 66600  381m 31s (- 2909m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.4506  loss_TTT: 0.0533  acc: 0.5848  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.566
ep/it:174-   7 niter: 66650  381m 52s (- 2909m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0553  acc: 0.5890  lr: 0.0000 
ep/it:174-  57 niter: 66700  382m 9s (- 2909m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0504  acc: 0.5973  lr: 0.0000 
ep/it:174- 107 niter: 66750  382m 26s (- 2909m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0536  acc: 0.5946  lr: 0.0000 
ep/it:174- 157 niter: 66800  382m 43s (- 2908m 48s) completed: 11%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0529  acc: 0.5939  lr: 0.0000 
ep/it:174- 207 niter: 66850  383m 0s (- 2908m 30s) completed: 11%) loss_emb: 0.0000  loss: 1.4234  loss_TTT: 0.0533  acc: 0.5928  lr: 0.0000 
ep/it:174- 257 niter: 66900  383m 17s (- 2908m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0516  acc: 0.5978  lr: 0.0000 
ep/it:174- 307 niter: 66950  383m 33s (- 2907m 48s) completed: 11%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0516  acc: 0.5927  lr: 0.0000 
ep/it:174- 357 niter: 67000  383m 50s (- 2907m 30s) completed: 11%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0521  acc: 0.5955  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.564
ep/it:175-  24 niter: 67050  384m 11s (- 2907m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.4404  loss_TTT: 0.0528  acc: 0.5870  lr: 0.0000 
ep/it:175-  74 niter: 67100  384m 27s (- 2907m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.4277  loss_TTT: 0.0531  acc: 0.5914  lr: 0.0000 
ep/it:175- 124 niter: 67150  384m 44s (- 2906m 53s) completed: 11%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0517  acc: 0.5999  lr: 0.0000 
ep/it:175- 174 niter: 67200  385m 0s (- 2906m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.4360  loss_TTT: 0.0522  acc: 0.5897  lr: 0.0000 
ep/it:175- 224 niter: 67250  385m 17s (- 2906m 8s) completed: 11%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0535  acc: 0.5916  lr: 0.0000 
ep/it:175- 274 niter: 67300  385m 33s (- 2905m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0519  acc: 0.5934  lr: 0.0000 
ep/it:175- 324 niter: 67350  385m 50s (- 2905m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0541  acc: 0.5943  lr: 0.0000 
ep/it:175- 374 niter: 67400  386m 6s (- 2905m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0507  acc: 0.5942  lr: 0.0000 
Validation time:
Validation loss:1.632, accuracy:0.557
ep/it:176-  41 niter: 67450  386m 27s (- 2905m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0541  acc: 0.5962  lr: 0.0000 
ep/it:176-  91 niter: 67500  386m 44s (- 2904m 53s) completed: 11%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0531  acc: 0.5960  lr: 0.0000 
ep/it:176- 141 niter: 67550  387m 1s (- 2904m 35s) completed: 11%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0534  acc: 0.5928  lr: 0.0000 
ep/it:176- 191 niter: 67600  387m 19s (- 2904m 20s) completed: 11%) loss_emb: 0.0000  loss: 1.4437  loss_TTT: 0.0530  acc: 0.5874  lr: 0.0000 
ep/it:176- 241 niter: 67650  387m 36s (- 2904m 4s) completed: 11%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0503  acc: 0.6036  lr: 0.0000 
ep/it:176- 291 niter: 67700  387m 54s (- 2903m 48s) completed: 11%) loss_emb: 0.0000  loss: 1.4528  loss_TTT: 0.0532  acc: 0.5844  lr: 0.0000 
ep/it:176- 341 niter: 67750  388m 10s (- 2903m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0520  acc: 0.5969  lr: 0.0000 
Validation time:
Validation loss:1.645, accuracy:0.554
ep/it:177-   8 niter: 67800  388m 30s (- 2903m 30s) completed: 11%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0532  acc: 0.5949  lr: 0.0000 
ep/it:177-  58 niter: 67850  388m 47s (- 2903m 8s) completed: 11%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0512  acc: 0.5981  lr: 0.0000 
ep/it:177- 108 niter: 67900  389m 3s (- 2902m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0542  acc: 0.5953  lr: 0.0000 
ep/it:177- 158 niter: 67950  389m 20s (- 2902m 27s) completed: 11%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0510  acc: 0.6015  lr: 0.0000 
ep/it:177- 208 niter: 68000  389m 36s (- 2902m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0529  acc: 0.5902  lr: 0.0000 
ep/it:177- 258 niter: 68050  389m 54s (- 2901m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0525  acc: 0.5935  lr: 0.0000 
ep/it:177- 308 niter: 68100  390m 10s (- 2901m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0538  acc: 0.5921  lr: 0.0000 
ep/it:177- 358 niter: 68150  390m 27s (- 2901m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0541  acc: 0.5908  lr: 0.0000 
Validation time:
Validation loss:1.630, accuracy:0.557
ep/it:178-  25 niter: 68200  390m 48s (- 2901m 15s) completed: 11%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0557  acc: 0.5964  lr: 0.0000 
ep/it:178-  75 niter: 68250  391m 5s (- 2900m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.4331  loss_TTT: 0.0518  acc: 0.5908  lr: 0.0000 
ep/it:178- 125 niter: 68300  391m 22s (- 2900m 34s) completed: 11%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0530  acc: 0.6009  lr: 0.0000 
ep/it:178- 175 niter: 68350  391m 38s (- 2900m 11s) completed: 11%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0508  acc: 0.5902  lr: 0.0000 
ep/it:178- 225 niter: 68400  391m 55s (- 2899m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0530  acc: 0.5892  lr: 0.0000 
ep/it:178- 275 niter: 68450  392m 11s (- 2899m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0524  acc: 0.5975  lr: 0.0000 
ep/it:178- 325 niter: 68500  392m 28s (- 2899m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0520  acc: 0.5926  lr: 0.0000 
ep/it:178- 375 niter: 68550  392m 45s (- 2898m 47s) completed: 11%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0524  acc: 0.5994  lr: 0.0000 
Validation time:
Validation loss:1.602, accuracy:0.565
ep/it:179-  42 niter: 68600  393m 5s (- 2898m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.4363  loss_TTT: 0.0533  acc: 0.5888  lr: 0.0000 
ep/it:179-  92 niter: 68650  393m 22s (- 2898m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0524  acc: 0.5968  lr: 0.0000 
ep/it:179- 142 niter: 68700  393m 39s (- 2898m 15s) completed: 11%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0526  acc: 0.5964  lr: 0.0000 
ep/it:179- 192 niter: 68750  393m 55s (- 2897m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0536  acc: 0.5946  lr: 0.0000 
ep/it:179- 242 niter: 68800  394m 12s (- 2897m 30s) completed: 11%) loss_emb: 0.0000  loss: 1.4129  loss_TTT: 0.0536  acc: 0.5958  lr: 0.0000 
ep/it:179- 292 niter: 68850  394m 28s (- 2897m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.4444  loss_TTT: 0.0523  acc: 0.5875  lr: 0.0000 
ep/it:179- 342 niter: 68900  394m 45s (- 2896m 49s) completed: 11%) loss_emb: 0.0000  loss: 1.4346  loss_TTT: 0.0550  acc: 0.5884  lr: 0.0000 
Validation time:
Validation loss:1.561, accuracy:0.576
Improved accuracy from 0.57 to 0.575528173342995!!!

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.68it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.71it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.00it/s]
100%|██████████| 47/47 [00:06<00:00,  7.00it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.55862008780241 avg: 2.55862008780241
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5472165220417082 avg: 2.552918304922059
--> 	 Eva. Repeat 22 :, FID. 0.1142, Diversity Real. 9.5258, Diversity. 9.9361, R_precision_real. [0.51367188 0.69433594 0.78515625], R_precision. [0.50585938 0.69042969 0.78515625], matching_score_real. 2.9328, matching_score_pred. 3.0094, skate_ratio. 0.0461, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7207 (traj_fail_50cm (Traj err)): 0.4619 (kps_fail_20cm): 0.5453 (kps_fail_50cm (Loc. err)): 0.3068 (kps_mean_err(m) (Avg. err)): 0.5429 
ep/it:180-   9 niter: 68950  395m 14s (- 2897m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0505  acc: 0.5906  lr: 0.0000 
ep/it:180-  59 niter: 69000  395m 30s (- 2897m 34s) completed: 12%) loss_emb: 0.0000  loss: 1.4302  loss_TTT: 0.0523  acc: 0.5906  lr: 0.0000 
ep/it:180- 109 niter: 69050  395m 47s (- 2897m 15s) completed: 12%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0524  acc: 0.5975  lr: 0.0000 
ep/it:180- 159 niter: 69100  396m 4s (- 2896m 56s) completed: 12%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0530  acc: 0.5983  lr: 0.0000 
ep/it:180- 209 niter: 69150  396m 20s (- 2896m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0533  acc: 0.5959  lr: 0.0000 
ep/it:180- 259 niter: 69200  396m 37s (- 2896m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0536  acc: 0.5972  lr: 0.0000 
ep/it:180- 309 niter: 69250  396m 55s (- 2895m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0538  acc: 0.5987  lr: 0.0000 
ep/it:180- 359 niter: 69300  397m 11s (- 2895m 34s) completed: 12%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0526  acc: 0.6045  lr: 0.0000 
Validation time:
Validation loss:1.607, accuracy:0.562
ep/it:181-  26 niter: 69350  397m 32s (- 2895m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0529  acc: 0.5905  lr: 0.0000 
ep/it:181-  76 niter: 69400  397m 49s (- 2895m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0532  acc: 0.5983  lr: 0.0000 
ep/it:181- 126 niter: 69450  398m 5s (- 2895m 1s) completed: 12%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0515  acc: 0.5963  lr: 0.0000 
ep/it:181- 176 niter: 69500  398m 22s (- 2894m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0516  acc: 0.5955  lr: 0.0000 
ep/it:181- 226 niter: 69550  398m 40s (- 2894m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0519  acc: 0.5936  lr: 0.0000 
ep/it:181- 276 niter: 69600  398m 56s (- 2894m 1s) completed: 12%) loss_emb: 0.0000  loss: 1.4474  loss_TTT: 0.0519  acc: 0.5857  lr: 0.0000 
ep/it:181- 326 niter: 69650  399m 13s (- 2893m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0522  acc: 0.5955  lr: 0.0000 
ep/it:181- 376 niter: 69700  399m 29s (- 2893m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.4543  loss_TTT: 0.0537  acc: 0.5864  lr: 0.0000 
Validation time:
Validation loss:1.585, accuracy:0.568
ep/it:182-  43 niter: 69750  399m 50s (- 2893m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0512  acc: 0.5937  lr: 0.0000 
ep/it:182-  93 niter: 69800  400m 7s (- 2893m 7s) completed: 12%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0531  acc: 0.5885  lr: 0.0000 
ep/it:182- 143 niter: 69850  400m 23s (- 2892m 46s) completed: 12%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0527  acc: 0.5912  lr: 0.0000 
ep/it:182- 193 niter: 69900  400m 40s (- 2892m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0544  acc: 0.5976  lr: 0.0000 
ep/it:182- 243 niter: 69950  400m 57s (- 2892m 8s) completed: 12%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0535  acc: 0.5949  lr: 0.0000 
ep/it:182- 293 niter: 70000  401m 14s (- 2891m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0513  acc: 0.5937  lr: 0.0000 
ep/it:182- 343 niter: 70050  401m 31s (- 2891m 27s) completed: 12%) loss_emb: 0.0000  loss: 1.4349  loss_TTT: 0.0536  acc: 0.5894  lr: 0.0000 
Validation time:
Validation loss:1.633, accuracy:0.555
ep/it:183-  10 niter: 70100  401m 52s (- 2891m 37s) completed: 12%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0523  acc: 0.5924  lr: 0.0000 
ep/it:183-  60 niter: 70150  402m 8s (- 2891m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0519  acc: 0.5928  lr: 0.0000 
ep/it:183- 110 niter: 70200  402m 26s (- 2890m 59s) completed: 12%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0539  acc: 0.5941  lr: 0.0000 
ep/it:183- 160 niter: 70250  402m 42s (- 2890m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0529  acc: 0.5931  lr: 0.0000 
ep/it:183- 210 niter: 70300  402m 59s (- 2890m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0519  acc: 0.6044  lr: 0.0000 
ep/it:183- 260 niter: 70350  403m 15s (- 2889m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0498  acc: 0.5929  lr: 0.0000 
ep/it:183- 310 niter: 70400  403m 32s (- 2889m 33s) completed: 12%) loss_emb: 0.0000  loss: 1.4368  loss_TTT: 0.0533  acc: 0.5905  lr: 0.0000 
ep/it:183- 360 niter: 70450  403m 49s (- 2889m 12s) completed: 12%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0538  acc: 0.5948  lr: 0.0000 
Validation time:
Validation loss:1.659, accuracy:0.549
ep/it:184-  27 niter: 70500  404m 9s (- 2889m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0532  acc: 0.5988  lr: 0.0000 
ep/it:184-  77 niter: 70550  404m 26s (- 2888m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0516  acc: 0.5969  lr: 0.0000 
ep/it:184- 127 niter: 70600  404m 43s (- 2888m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0511  acc: 0.5899  lr: 0.0000 
ep/it:184- 177 niter: 70650  404m 59s (- 2888m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0525  acc: 0.6018  lr: 0.0000 
ep/it:184- 227 niter: 70700  405m 15s (- 2887m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0531  acc: 0.5946  lr: 0.0000 
ep/it:184- 277 niter: 70750  405m 32s (- 2887m 33s) completed: 12%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0509  acc: 0.5982  lr: 0.0000 
ep/it:184- 327 niter: 70800  405m 49s (- 2887m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.4441  loss_TTT: 0.0538  acc: 0.5878  lr: 0.0000 
ep/it:184- 377 niter: 70850  406m 5s (- 2886m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0532  acc: 0.5965  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.565
ep/it:185-  44 niter: 70900  406m 25s (- 2886m 51s) completed: 12%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0532  acc: 0.5899  lr: 0.0000 
ep/it:185-  94 niter: 70950  406m 41s (- 2886m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0523  acc: 0.5971  lr: 0.0000 
ep/it:185- 144 niter: 71000  406m 57s (- 2885m 59s) completed: 12%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0527  acc: 0.5948  lr: 0.0000 
ep/it:185- 194 niter: 71050  407m 14s (- 2885m 37s) completed: 12%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0503  acc: 0.5911  lr: 0.0000 
ep/it:185- 244 niter: 71100  407m 30s (- 2885m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0538  acc: 0.5954  lr: 0.0000 
ep/it:185- 294 niter: 71150  407m 46s (- 2884m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.4440  loss_TTT: 0.0529  acc: 0.5879  lr: 0.0000 
ep/it:185- 344 niter: 71200  408m 3s (- 2884m 27s) completed: 12%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0516  acc: 0.5945  lr: 0.0000 
Validation time:
Validation loss:1.614, accuracy:0.563
ep/it:186-  11 niter: 71250  408m 23s (- 2884m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0544  acc: 0.5888  lr: 0.0000 
ep/it:186-  61 niter: 71300  408m 39s (- 2884m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0522  acc: 0.5965  lr: 0.0000 
ep/it:186- 111 niter: 71350  408m 55s (- 2883m 43s) completed: 12%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0518  acc: 0.5907  lr: 0.0000 
ep/it:186- 161 niter: 71400  409m 12s (- 2883m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0509  acc: 0.6013  lr: 0.0000 
ep/it:186- 211 niter: 71450  409m 29s (- 2883m 3s) completed: 12%) loss_emb: 0.0000  loss: 1.4473  loss_TTT: 0.0549  acc: 0.5868  lr: 0.0000 
ep/it:186- 261 niter: 71500  409m 45s (- 2882m 40s) completed: 12%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0534  acc: 0.5917  lr: 0.0000 
ep/it:186- 311 niter: 71550  410m 2s (- 2882m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0536  acc: 0.5974  lr: 0.0000 
ep/it:186- 361 niter: 71600  410m 19s (- 2882m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0526  acc: 0.5905  lr: 0.0000 
Validation time:
Validation loss:1.584, accuracy:0.570
ep/it:187-  28 niter: 71650  410m 39s (- 2882m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0518  acc: 0.5973  lr: 0.0000 
ep/it:187-  78 niter: 71700  410m 56s (- 2881m 46s) completed: 12%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0539  acc: 0.5936  lr: 0.0000 
ep/it:187- 128 niter: 71750  411m 13s (- 2881m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0539  acc: 0.5926  lr: 0.0000 
ep/it:187- 178 niter: 71800  411m 30s (- 2881m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0518  acc: 0.5998  lr: 0.0000 
ep/it:187- 228 niter: 71850  411m 47s (- 2880m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4181  loss_TTT: 0.0520  acc: 0.5939  lr: 0.0000 
ep/it:187- 278 niter: 71900  412m 4s (- 2880m 29s) completed: 12%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0517  acc: 0.5969  lr: 0.0000 
ep/it:187- 328 niter: 71950  412m 20s (- 2880m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0547  acc: 0.5986  lr: 0.0000 
ep/it:187- 378 niter: 72000  412m 37s (- 2879m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.4398  loss_TTT: 0.0530  acc: 0.5878  lr: 0.0000 
Validation time:
Validation loss:1.593, accuracy:0.566
ep/it:188-  45 niter: 72050  412m 59s (- 2880m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0518  acc: 0.5995  lr: 0.0000 
ep/it:188-  95 niter: 72100  413m 15s (- 2879m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0512  acc: 0.5996  lr: 0.0000 
ep/it:188- 145 niter: 72150  413m 33s (- 2879m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0521  acc: 0.5935  lr: 0.0000 
ep/it:188- 195 niter: 72200  413m 49s (- 2879m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0524  acc: 0.6019  lr: 0.0000 
ep/it:188- 245 niter: 72250  414m 6s (- 2878m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0527  acc: 0.5951  lr: 0.0000 
ep/it:188- 295 niter: 72300  414m 22s (- 2878m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0525  acc: 0.6019  lr: 0.0000 
ep/it:188- 345 niter: 72350  414m 39s (- 2877m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0531  acc: 0.5924  lr: 0.0000 
Validation time:
Validation loss:1.615, accuracy:0.561
ep/it:189-  12 niter: 72400  415m 0s (- 2878m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.4319  loss_TTT: 0.0508  acc: 0.5905  lr: 0.0000 
ep/it:189-  62 niter: 72450  415m 16s (- 2877m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0499  acc: 0.5946  lr: 0.0000 
ep/it:189- 112 niter: 72500  415m 33s (- 2877m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0521  acc: 0.6005  lr: 0.0000 
ep/it:189- 162 niter: 72550  415m 51s (- 2877m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0517  acc: 0.5987  lr: 0.0000 
ep/it:189- 212 niter: 72600  416m 7s (- 2876m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0526  acc: 0.6029  lr: 0.0000 
ep/it:189- 262 niter: 72650  416m 24s (- 2876m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.4458  loss_TTT: 0.0522  acc: 0.5856  lr: 0.0000 
ep/it:189- 312 niter: 72700  416m 41s (- 2876m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0530  acc: 0.5962  lr: 0.0000 
ep/it:189- 362 niter: 72750  416m 58s (- 2875m 49s) completed: 12%) loss_emb: 0.0000  loss: 1.4364  loss_TTT: 0.0543  acc: 0.5891  lr: 0.0000 
Validation time:
Validation loss:1.599, accuracy:0.565

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ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5496234791353345 avg: 2.5496234791353345
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.578905586153269 avg: 2.5642645326443017
--> 	 Eva. Repeat 22 :, FID. 0.1412, Diversity Real. 9.4099, Diversity. 10.2781, R_precision_real. [0.52539062 0.69433594 0.78222656], R_precision. [0.48339844 0.66699219 0.78125   ], matching_score_real. 2.9200, matching_score_pred. 3.0442, skate_ratio. 0.0482, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7197 (traj_fail_50cm (Traj err)): 0.4355 (kps_fail_20cm): 0.5424 (kps_fail_50cm (Loc. err)): 0.2873 (kps_mean_err(m) (Avg. err)): 0.5048 
ep/it:190-  29 niter: 72800  417m 27s (- 2876m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0520  acc: 0.5900  lr: 0.0000 
ep/it:190-  79 niter: 72850  417m 43s (- 2876m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0531  acc: 0.5987  lr: 0.0000 
ep/it:190- 129 niter: 72900  418m 0s (- 2876m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.4284  loss_TTT: 0.0516  acc: 0.5916  lr: 0.0000 
ep/it:190- 179 niter: 72950  418m 16s (- 2875m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0534  acc: 0.5959  lr: 0.0000 
ep/it:190- 229 niter: 73000  418m 33s (- 2875m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0539  acc: 0.5930  lr: 0.0000 
ep/it:190- 279 niter: 73050  418m 49s (- 2875m 4s) completed: 12%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0527  acc: 0.5967  lr: 0.0000 
ep/it:190- 329 niter: 73100  419m 6s (- 2874m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0535  acc: 0.5945  lr: 0.0000 
ep/it:190- 379 niter: 73150  419m 23s (- 2874m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0525  acc: 0.5963  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.563
ep/it:191-  46 niter: 73200  419m 43s (- 2874m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0531  acc: 0.5914  lr: 0.0000 
ep/it:191-  96 niter: 73250  420m 0s (- 2874m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0522  acc: 0.5924  lr: 0.0000 
ep/it:191- 146 niter: 73300  420m 17s (- 2873m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0535  acc: 0.5948  lr: 0.0000 
ep/it:191- 196 niter: 73350  420m 33s (- 2873m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0541  acc: 0.5945  lr: 0.0000 
ep/it:191- 246 niter: 73400  420m 50s (- 2873m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0513  acc: 0.6027  lr: 0.0000 
ep/it:191- 296 niter: 73450  421m 7s (- 2872m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0530  acc: 0.5953  lr: 0.0000 
ep/it:191- 346 niter: 73500  421m 23s (- 2872m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0525  acc: 0.6042  lr: 0.0000 
Validation time:
Validation loss:1.629, accuracy:0.557
ep/it:192-  13 niter: 73550  421m 44s (- 2872m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.4403  loss_TTT: 0.0544  acc: 0.5896  lr: 0.0000 
ep/it:192-  63 niter: 73600  422m 0s (- 2872m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0503  acc: 0.5980  lr: 0.0000 
ep/it:192- 113 niter: 73650  422m 16s (- 2871m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0520  acc: 0.5952  lr: 0.0000 
ep/it:192- 163 niter: 73700  422m 32s (- 2871m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0525  acc: 0.5942  lr: 0.0000 
ep/it:192- 213 niter: 73750  422m 49s (- 2870m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0529  acc: 0.5948  lr: 0.0000 
ep/it:192- 263 niter: 73800  423m 5s (- 2870m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0507  acc: 0.5949  lr: 0.0000 
ep/it:192- 313 niter: 73850  423m 21s (- 2870m 4s) completed: 12%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0531  acc: 0.5953  lr: 0.0000 
ep/it:192- 363 niter: 73900  423m 38s (- 2869m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0523  acc: 0.5958  lr: 0.0000 
Validation time:
Validation loss:1.618, accuracy:0.559
ep/it:193-  30 niter: 73950  423m 59s (- 2869m 54s) completed: 12%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0504  acc: 0.5917  lr: 0.0000 
ep/it:193-  80 niter: 74000  424m 16s (- 2869m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0521  acc: 0.5996  lr: 0.0000 
ep/it:193- 130 niter: 74050  424m 33s (- 2869m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0521  acc: 0.5980  lr: 0.0000 
ep/it:193- 180 niter: 74100  424m 50s (- 2868m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0517  acc: 0.6032  lr: 0.0000 
ep/it:193- 230 niter: 74150  425m 6s (- 2868m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0520  acc: 0.5942  lr: 0.0000 
ep/it:193- 280 niter: 74200  425m 22s (- 2868m 8s) completed: 12%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0542  acc: 0.5962  lr: 0.0000 
ep/it:193- 330 niter: 74250  425m 38s (- 2867m 45s) completed: 12%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0514  acc: 0.5971  lr: 0.0000 
ep/it:193- 380 niter: 74300  425m 55s (- 2867m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0511  acc: 0.5919  lr: 0.0000 
Validation time:
Validation loss:1.586, accuracy:0.568
ep/it:194-  47 niter: 74350  426m 15s (- 2867m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0506  acc: 0.5889  lr: 0.0000 
ep/it:194-  97 niter: 74400  426m 31s (- 2867m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0540  acc: 0.5950  lr: 0.0000 
ep/it:194- 147 niter: 74450  426m 48s (- 2866m 40s) completed: 12%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0519  acc: 0.5914  lr: 0.0000 
ep/it:194- 197 niter: 74500  427m 5s (- 2866m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0540  acc: 0.5961  lr: 0.0000 
ep/it:194- 247 niter: 74550  427m 21s (- 2865m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0532  acc: 0.5974  lr: 0.0000 
ep/it:194- 297 niter: 74600  427m 37s (- 2865m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0508  acc: 0.5934  lr: 0.0000 
ep/it:194- 347 niter: 74650  427m 53s (- 2865m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0531  acc: 0.5939  lr: 0.0000 
Validation time:
Validation loss:1.608, accuracy:0.563
ep/it:195-  14 niter: 74700  428m 14s (- 2865m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0526  acc: 0.5886  lr: 0.0000 
ep/it:195-  64 niter: 74750  428m 30s (- 2864m 51s) completed: 13%) loss_emb: 0.0000  loss: 1.4391  loss_TTT: 0.0533  acc: 0.5879  lr: 0.0000 
ep/it:195- 114 niter: 74800  428m 46s (- 2864m 22s) completed: 13%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0503  acc: 0.5952  lr: 0.0000 
ep/it:195- 164 niter: 74850  429m 2s (- 2863m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0508  acc: 0.5957  lr: 0.0000 
ep/it:195- 214 niter: 74900  429m 18s (- 2863m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0499  acc: 0.5976  lr: 0.0000 
ep/it:195- 264 niter: 74950  429m 34s (- 2863m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0544  acc: 0.5932  lr: 0.0000 
ep/it:195- 314 niter: 75000  429m 51s (- 2862m 48s) completed: 13%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0536  acc: 0.5966  lr: 0.0000 
ep/it:195- 364 niter: 75050  430m 7s (- 2862m 28s) completed: 13%) loss_emb: 0.0000  loss: 1.4394  loss_TTT: 0.0520  acc: 0.5875  lr: 0.0000 
Validation time:
Validation loss:1.642, accuracy:0.552
ep/it:196-  31 niter: 75100  430m 28s (- 2862m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0516  acc: 0.5939  lr: 0.0000 
ep/it:196-  81 niter: 75150  430m 44s (- 2862m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0533  acc: 0.5934  lr: 0.0000 
ep/it:196- 131 niter: 75200  431m 1s (- 2861m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0524  acc: 0.5942  lr: 0.0000 
ep/it:196- 181 niter: 75250  431m 17s (- 2861m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0529  acc: 0.5943  lr: 0.0000 
ep/it:196- 231 niter: 75300  431m 33s (- 2861m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0525  acc: 0.5927  lr: 0.0000 
ep/it:196- 281 niter: 75350  431m 50s (- 2860m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0535  acc: 0.5930  lr: 0.0000 
ep/it:196- 331 niter: 75400  432m 6s (- 2860m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0528  acc: 0.5937  lr: 0.0000 
ep/it:196- 381 niter: 75450  432m 22s (- 2859m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0521  acc: 0.5955  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.568
ep/it:197-  48 niter: 75500  432m 44s (- 2860m 3s) completed: 13%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0542  acc: 0.5938  lr: 0.0000 
ep/it:197-  98 niter: 75550  433m 0s (- 2859m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0532  acc: 0.5923  lr: 0.0000 
ep/it:197- 148 niter: 75600  433m 17s (- 2859m 23s) completed: 13%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0507  acc: 0.5979  lr: 0.0000 
ep/it:197- 198 niter: 75650  433m 34s (- 2859m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0504  acc: 0.5948  lr: 0.0000 
ep/it:197- 248 niter: 75700  433m 50s (- 2858m 41s) completed: 13%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0520  acc: 0.5963  lr: 0.0000 
ep/it:197- 298 niter: 75750  434m 7s (- 2858m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0532  acc: 0.5941  lr: 0.0000 
ep/it:197- 348 niter: 75800  434m 24s (- 2857m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0532  acc: 0.5927  lr: 0.0000 
Validation time:
Validation loss:1.575, accuracy:0.572
ep/it:198-  15 niter: 75850  434m 44s (- 2858m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0535  acc: 0.5935  lr: 0.0000 
ep/it:198-  65 niter: 75900  435m 0s (- 2857m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0506  acc: 0.5907  lr: 0.0000 
ep/it:198- 115 niter: 75950  435m 17s (- 2857m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0534  acc: 0.5907  lr: 0.0000 
ep/it:198- 165 niter: 76000  435m 33s (- 2856m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.4312  loss_TTT: 0.0503  acc: 0.5915  lr: 0.0000 
ep/it:198- 215 niter: 76050  435m 50s (- 2856m 35s) completed: 13%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0512  acc: 0.5921  lr: 0.0000 
ep/it:198- 265 niter: 76100  436m 7s (- 2856m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0520  acc: 0.6007  lr: 0.0000 
ep/it:198- 315 niter: 76150  436m 23s (- 2855m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0533  acc: 0.5975  lr: 0.0000 
ep/it:198- 365 niter: 76200  436m 39s (- 2855m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0515  acc: 0.5986  lr: 0.0000 
Validation time:
Validation loss:1.615, accuracy:0.561
ep/it:199-  32 niter: 76250  436m 59s (- 2855m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0509  acc: 0.5942  lr: 0.0000 
ep/it:199-  82 niter: 76300  437m 16s (- 2855m 11s) completed: 13%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0501  acc: 0.5957  lr: 0.0000 
ep/it:199- 132 niter: 76350  437m 32s (- 2854m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0523  acc: 0.5931  lr: 0.0000 
ep/it:199- 182 niter: 76400  437m 48s (- 2854m 23s) completed: 13%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0520  acc: 0.5971  lr: 0.0000 
ep/it:199- 232 niter: 76450  438m 5s (- 2854m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0499  acc: 0.5987  lr: 0.0000 
ep/it:199- 282 niter: 76500  438m 21s (- 2853m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0541  acc: 0.5954  lr: 0.0000 
ep/it:199- 332 niter: 76550  438m 38s (- 2853m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.4445  loss_TTT: 0.0539  acc: 0.5877  lr: 0.0000 
ep/it:199- 382 niter: 76600  438m 54s (- 2852m 56s) completed: 13%) loss_emb: 0.0000  loss: 1.4469  loss_TTT: 0.0503  acc: 0.5863  lr: 0.0000 
Validation time:
Validation loss:1.631, accuracy:0.557

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 34%|███▍      | 16/47 [00:03<00:06,  4.74it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.21it/s]
100%|██████████| 47/47 [00:06<00:00,  7.26it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5416334280744195 avg: 2.5416334280744195
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.54968648776412 avg: 2.54565995791927
--> 	 Eva. Repeat 22 :, FID. 0.0963, Diversity Real. 9.1566, Diversity. 9.6422, R_precision_real. [0.51660156 0.703125   0.80664062], R_precision. [0.51464844 0.68945312 0.78515625], matching_score_real. 2.8682, matching_score_pred. 2.9714, skate_ratio. 0.0494, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7227 (traj_fail_50cm (Traj err)): 0.4365 (kps_fail_20cm): 0.5433 (kps_fail_50cm (Loc. err)): 0.2912 (kps_mean_err(m) (Avg. err)): 0.5136 
ep/it:200-  49 niter: 76650  439m 23s (- 2853m 55s) completed: 13%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0524  acc: 0.6001  lr: 0.0000 
ep/it:200-  99 niter: 76700  439m 40s (- 2853m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0518  acc: 0.5962  lr: 0.0000 
ep/it:200- 149 niter: 76750  439m 56s (- 2853m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0539  acc: 0.5958  lr: 0.0000 
ep/it:200- 199 niter: 76800  440m 13s (- 2852m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0515  acc: 0.5940  lr: 0.0000 
ep/it:200- 249 niter: 76850  440m 29s (- 2852m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0516  acc: 0.5915  lr: 0.0000 
ep/it:200- 299 niter: 76900  440m 46s (- 2852m 8s) completed: 13%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0539  acc: 0.6023  lr: 0.0000 
ep/it:200- 349 niter: 76950  441m 3s (- 2851m 48s) completed: 13%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0536  acc: 0.5962  lr: 0.0000 
Validation time:
Validation loss:1.616, accuracy:0.559
ep/it:201-  16 niter: 77000  441m 23s (- 2851m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0500  acc: 0.5907  lr: 0.0000 
ep/it:201-  66 niter: 77050  441m 40s (- 2851m 35s) completed: 13%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0522  acc: 0.6003  lr: 0.0000 
ep/it:201- 116 niter: 77100  441m 57s (- 2851m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0513  acc: 0.5969  lr: 0.0000 
ep/it:201- 166 niter: 77150  442m 13s (- 2850m 51s) completed: 13%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0506  acc: 0.5911  lr: 0.0000 
ep/it:201- 216 niter: 77200  442m 30s (- 2850m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0534  acc: 0.5970  lr: 0.0000 
ep/it:201- 266 niter: 77250  442m 47s (- 2850m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0535  acc: 0.5916  lr: 0.0000 
ep/it:201- 316 niter: 77300  443m 3s (- 2849m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0507  acc: 0.5954  lr: 0.0000 
ep/it:201- 366 niter: 77350  443m 20s (- 2849m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0509  acc: 0.5951  lr: 0.0000 
Validation time:
Validation loss:1.606, accuracy:0.564
ep/it:202-  33 niter: 77400  443m 40s (- 2849m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0507  acc: 0.6031  lr: 0.0000 
ep/it:202-  83 niter: 77450  443m 57s (- 2849m 8s) completed: 13%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0513  acc: 0.5996  lr: 0.0000 
ep/it:202- 133 niter: 77500  444m 13s (- 2848m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0545  acc: 0.5978  lr: 0.0000 
ep/it:202- 183 niter: 77550  444m 31s (- 2848m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0513  acc: 0.5905  lr: 0.0000 
ep/it:202- 233 niter: 77600  444m 47s (- 2848m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0526  acc: 0.5984  lr: 0.0000 
ep/it:202- 283 niter: 77650  445m 4s (- 2847m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0504  acc: 0.6014  lr: 0.0000 
ep/it:202- 333 niter: 77700  445m 21s (- 2847m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0528  acc: 0.5934  lr: 0.0000 
Validation time:
Validation loss:1.625, accuracy:0.557
ep/it:203-   0 niter: 77750  445m 41s (- 2847m 34s) completed: 13%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0504  acc: 0.5943  lr: 0.0000 
ep/it:203-  50 niter: 77800  445m 57s (- 2847m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0525  acc: 0.5927  lr: 0.0000 
ep/it:203- 100 niter: 77850  446m 14s (- 2846m 48s) completed: 13%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0522  acc: 0.5985  lr: 0.0000 
ep/it:203- 150 niter: 77900  446m 30s (- 2846m 23s) completed: 13%) loss_emb: 0.0000  loss: 1.4611  loss_TTT: 0.0520  acc: 0.5835  lr: 0.0000 
ep/it:203- 200 niter: 77950  446m 47s (- 2846m 5s) completed: 13%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0528  acc: 0.5962  lr: 0.0000 
ep/it:203- 250 niter: 78000  447m 3s (- 2845m 44s) completed: 13%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0531  acc: 0.5951  lr: 0.0000 
ep/it:203- 300 niter: 78050  447m 20s (- 2845m 24s) completed: 13%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0513  acc: 0.5918  lr: 0.0000 
ep/it:203- 350 niter: 78100  447m 36s (- 2845m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.4115  loss_TTT: 0.0526  acc: 0.5952  lr: 0.0000 
Validation time:
Validation loss:1.596, accuracy:0.565
ep/it:204-  17 niter: 78150  447m 57s (- 2845m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0497  acc: 0.5886  lr: 0.0000 
ep/it:204-  67 niter: 78200  448m 12s (- 2844m 37s) completed: 13%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0504  acc: 0.5970  lr: 0.0000 
ep/it:204- 117 niter: 78250  448m 29s (- 2844m 14s) completed: 13%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0541  acc: 0.5965  lr: 0.0000 
ep/it:204- 167 niter: 78300  448m 46s (- 2843m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0519  acc: 0.6007  lr: 0.0000 
ep/it:204- 217 niter: 78350  449m 3s (- 2843m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0517  acc: 0.5945  lr: 0.0000 
ep/it:204- 267 niter: 78400  449m 19s (- 2843m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0528  acc: 0.5949  lr: 0.0000 
ep/it:204- 317 niter: 78450  449m 36s (- 2842m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0511  acc: 0.5938  lr: 0.0000 
ep/it:204- 367 niter: 78500  449m 52s (- 2842m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0523  acc: 0.5994  lr: 0.0000 
Validation time:
Validation loss:1.558, accuracy:0.575
ep/it:205-  34 niter: 78550  450m 14s (- 2842m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0528  acc: 0.5979  lr: 0.0000 
ep/it:205-  84 niter: 78600  450m 31s (- 2842m 24s) completed: 13%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0532  acc: 0.5905  lr: 0.0000 
ep/it:205- 134 niter: 78650  450m 48s (- 2842m 5s) completed: 13%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0543  acc: 0.5911  lr: 0.0000 
ep/it:205- 184 niter: 78700  451m 5s (- 2841m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0529  acc: 0.5919  lr: 0.0000 
ep/it:205- 234 niter: 78750  451m 22s (- 2841m 29s) completed: 13%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0499  acc: 0.5923  lr: 0.0000 
ep/it:205- 284 niter: 78800  451m 39s (- 2841m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0518  acc: 0.5983  lr: 0.0000 
ep/it:205- 334 niter: 78850  451m 55s (- 2840m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0515  acc: 0.5932  lr: 0.0000 
Validation time:
Validation loss:1.576, accuracy:0.570
ep/it:206-   1 niter: 78900  452m 17s (- 2840m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0536  acc: 0.5928  lr: 0.0000 
ep/it:206-  51 niter: 78950  452m 33s (- 2840m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.4252  loss_TTT: 0.0534  acc: 0.5913  lr: 0.0000 
ep/it:206- 101 niter: 79000  452m 50s (- 2840m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0507  acc: 0.6007  lr: 0.0000 
ep/it:206- 151 niter: 79050  453m 7s (- 2840m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.4364  loss_TTT: 0.0526  acc: 0.5890  lr: 0.0000 
ep/it:206- 201 niter: 79100  453m 24s (- 2839m 41s) completed: 13%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0535  acc: 0.5979  lr: 0.0000 
ep/it:206- 251 niter: 79150  453m 41s (- 2839m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0536  acc: 0.5901  lr: 0.0000 
ep/it:206- 301 niter: 79200  453m 58s (- 2839m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.4367  loss_TTT: 0.0521  acc: 0.5889  lr: 0.0000 
ep/it:206- 351 niter: 79250  454m 15s (- 2838m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0523  acc: 0.5929  lr: 0.0000 
Validation time:
Validation loss:1.637, accuracy:0.556
ep/it:207-  18 niter: 79300  454m 36s (- 2838m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0511  acc: 0.5968  lr: 0.0000 
ep/it:207-  68 niter: 79350  454m 52s (- 2838m 28s) completed: 13%) loss_emb: 0.0000  loss: 1.4252  loss_TTT: 0.0520  acc: 0.5929  lr: 0.0000 
ep/it:207- 118 niter: 79400  455m 9s (- 2838m 8s) completed: 13%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0531  acc: 0.5927  lr: 0.0000 
ep/it:207- 168 niter: 79450  455m 26s (- 2837m 51s) completed: 13%) loss_emb: 0.0000  loss: 1.4259  loss_TTT: 0.0531  acc: 0.5931  lr: 0.0000 
ep/it:207- 218 niter: 79500  455m 43s (- 2837m 29s) completed: 13%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0530  acc: 0.5938  lr: 0.0000 
ep/it:207- 268 niter: 79550  456m 0s (- 2837m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0507  acc: 0.5996  lr: 0.0000 
ep/it:207- 318 niter: 79600  456m 16s (- 2836m 51s) completed: 13%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0523  acc: 0.5989  lr: 0.0000 
ep/it:207- 368 niter: 79650  456m 33s (- 2836m 29s) completed: 13%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0509  acc: 0.5870  lr: 0.0000 
Validation time:
Validation loss:1.573, accuracy:0.570
ep/it:208-  35 niter: 79700  456m 53s (- 2836m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0520  acc: 0.5940  lr: 0.0000 
ep/it:208-  85 niter: 79750  457m 10s (- 2836m 11s) completed: 13%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0521  acc: 0.5919  lr: 0.0000 
ep/it:208- 135 niter: 79800  457m 26s (- 2835m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0521  acc: 0.5957  lr: 0.0000 
ep/it:208- 185 niter: 79850  457m 43s (- 2835m 28s) completed: 13%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0522  acc: 0.5981  lr: 0.0000 
ep/it:208- 235 niter: 79900  458m 0s (- 2835m 8s) completed: 13%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0548  acc: 0.5916  lr: 0.0000 
ep/it:208- 285 niter: 79950  458m 16s (- 2834m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0522  acc: 0.5924  lr: 0.0000 
ep/it:208- 335 niter: 80000  458m 32s (- 2834m 24s) completed: 13%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0515  acc: 0.6043  lr: 0.0000 
Validation time:
Validation loss:1.591, accuracy:0.568
ep/it:209-   2 niter: 80050  458m 54s (- 2834m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0534  acc: 0.5985  lr: 0.0000 
ep/it:209-  52 niter: 80100  459m 10s (- 2834m 11s) completed: 13%) loss_emb: 0.0000  loss: 1.4296  loss_TTT: 0.0517  acc: 0.5914  lr: 0.0000 
ep/it:209- 102 niter: 80150  459m 28s (- 2833m 55s) completed: 13%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0518  acc: 0.5945  lr: 0.0000 
ep/it:209- 152 niter: 80200  459m 45s (- 2833m 35s) completed: 13%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0520  acc: 0.5969  lr: 0.0000 
ep/it:209- 202 niter: 80250  460m 1s (- 2833m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0505  acc: 0.5960  lr: 0.0000 
ep/it:209- 252 niter: 80300  460m 18s (- 2832m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0527  acc: 0.5950  lr: 0.0000 
ep/it:209- 302 niter: 80350  460m 35s (- 2832m 39s) completed: 13%) loss_emb: 0.0000  loss: 1.4370  loss_TTT: 0.0523  acc: 0.5885  lr: 0.0000 
ep/it:209- 352 niter: 80400  460m 52s (- 2832m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0513  acc: 0.5927  lr: 0.0000 
Validation time:
Validation loss:1.567, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.32it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.85it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.21it/s]
100%|██████████| 47/47 [00:06<00:00,  7.24it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5486798230558634 avg: 2.5486798230558634
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5716228811070323 avg: 2.560151352081448
--> 	 Eva. Repeat 22 :, FID. 0.1322, Diversity Real. 9.2092, Diversity. 9.6922, R_precision_real. [0.48535156 0.68554688 0.78320312], R_precision. [0.49316406 0.68066406 0.78613281], matching_score_real. 2.9881, matching_score_pred. 3.0296, skate_ratio. 0.0437, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7197 (traj_fail_50cm (Traj err)): 0.4248 (kps_fail_20cm): 0.5439 (kps_fail_50cm (Loc. err)): 0.2713 (kps_mean_err(m) (Avg. err)): 0.4709 
ep/it:210-  19 niter: 80450  461m 20s (- 2833m 11s) completed: 14%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0527  acc: 0.5994  lr: 0.0000 
ep/it:210-  69 niter: 80500  461m 37s (- 2832m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0506  acc: 0.6019  lr: 0.0000 
ep/it:210- 119 niter: 80550  461m 54s (- 2832m 31s) completed: 14%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0501  acc: 0.6017  lr: 0.0000 
ep/it:210- 169 niter: 80600  462m 10s (- 2832m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0506  acc: 0.5972  lr: 0.0000 
ep/it:210- 219 niter: 80650  462m 27s (- 2831m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0545  acc: 0.5895  lr: 0.0000 
ep/it:210- 269 niter: 80700  462m 44s (- 2831m 32s) completed: 14%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0501  acc: 0.6037  lr: 0.0000 
ep/it:210- 319 niter: 80750  463m 1s (- 2831m 10s) completed: 14%) loss_emb: 0.0000  loss: 1.4301  loss_TTT: 0.0520  acc: 0.5892  lr: 0.0000 
ep/it:210- 369 niter: 80800  463m 18s (- 2830m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0533  acc: 0.5929  lr: 0.0000 
Validation time:
Validation loss:1.571, accuracy:0.571
ep/it:211-  36 niter: 80850  463m 39s (- 2830m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.4302  loss_TTT: 0.0532  acc: 0.5898  lr: 0.0000 
ep/it:211-  86 niter: 80900  463m 55s (- 2830m 34s) completed: 14%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0498  acc: 0.5966  lr: 0.0000 
ep/it:211- 136 niter: 80950  464m 12s (- 2830m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0533  acc: 0.5986  lr: 0.0000 
ep/it:211- 186 niter: 81000  464m 29s (- 2829m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.4493  loss_TTT: 0.0522  acc: 0.5853  lr: 0.0000 
ep/it:211- 236 niter: 81050  464m 46s (- 2829m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0521  acc: 0.6011  lr: 0.0000 
ep/it:211- 286 niter: 81100  465m 3s (- 2829m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.4596  loss_TTT: 0.0522  acc: 0.5823  lr: 0.0000 
ep/it:211- 336 niter: 81150  465m 19s (- 2828m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0507  acc: 0.6011  lr: 0.0000 
Validation time:
Validation loss:1.638, accuracy:0.553
ep/it:212-   3 niter: 81200  465m 39s (- 2828m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0527  acc: 0.5949  lr: 0.0000 
ep/it:212-  53 niter: 81250  465m 55s (- 2828m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0519  acc: 0.5993  lr: 0.0000 
ep/it:212- 103 niter: 81300  466m 12s (- 2828m 11s) completed: 14%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0515  acc: 0.5925  lr: 0.0000 
ep/it:212- 153 niter: 81350  466m 28s (- 2827m 49s) completed: 14%) loss_emb: 0.0000  loss: 1.4263  loss_TTT: 0.0520  acc: 0.5907  lr: 0.0000 
ep/it:212- 203 niter: 81400  466m 44s (- 2827m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0507  acc: 0.6033  lr: 0.0000 
ep/it:212- 253 niter: 81450  467m 0s (- 2827m 1s) completed: 14%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0504  acc: 0.5971  lr: 0.0000 
ep/it:212- 303 niter: 81500  467m 17s (- 2826m 41s) completed: 14%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0525  acc: 0.6009  lr: 0.0000 
ep/it:212- 353 niter: 81550  467m 34s (- 2826m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.3717  loss_TTT: 0.0507  acc: 0.6051  lr: 0.0000 
Validation time:
Validation loss:1.598, accuracy:0.564
ep/it:213-  20 niter: 81600  467m 54s (- 2826m 23s) completed: 14%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0510  acc: 0.5922  lr: 0.0000 
ep/it:213-  70 niter: 81650  468m 10s (- 2826m 0s) completed: 14%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0512  acc: 0.5955  lr: 0.0000 
ep/it:213- 120 niter: 81700  468m 26s (- 2825m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0518  acc: 0.5942  lr: 0.0000 
ep/it:213- 170 niter: 81750  468m 43s (- 2825m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.4317  loss_TTT: 0.0526  acc: 0.5896  lr: 0.0000 
ep/it:213- 220 niter: 81800  469m 0s (- 2824m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.4330  loss_TTT: 0.0534  acc: 0.5889  lr: 0.0000 
ep/it:213- 270 niter: 81850  469m 16s (- 2824m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0514  acc: 0.5973  lr: 0.0000 
ep/it:213- 320 niter: 81900  469m 32s (- 2824m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0526  acc: 0.5898  lr: 0.0000 
ep/it:213- 370 niter: 81950  469m 49s (- 2823m 49s) completed: 14%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0509  acc: 0.5988  lr: 0.0000 
Validation time:
Validation loss:1.627, accuracy:0.556
ep/it:214-  37 niter: 82000  470m 9s (- 2823m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0528  acc: 0.5967  lr: 0.0000 
ep/it:214-  87 niter: 82050  470m 27s (- 2823m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0519  acc: 0.5929  lr: 0.0000 
ep/it:214- 137 niter: 82100  470m 43s (- 2823m 10s) completed: 14%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0514  acc: 0.5959  lr: 0.0000 
ep/it:214- 187 niter: 82150  470m 59s (- 2822m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0502  acc: 0.5965  lr: 0.0000 
ep/it:214- 237 niter: 82200  471m 15s (- 2822m 25s) completed: 14%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0504  acc: 0.5996  lr: 0.0000 
ep/it:214- 287 niter: 82250  471m 32s (- 2822m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0525  acc: 0.5932  lr: 0.0000 
ep/it:214- 337 niter: 82300  471m 48s (- 2821m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0507  acc: 0.6005  lr: 0.0000 
Validation time:
Validation loss:1.603, accuracy:0.563
ep/it:215-   4 niter: 82350  472m 8s (- 2821m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0505  acc: 0.5974  lr: 0.0000 
ep/it:215-  54 niter: 82400  472m 24s (- 2821m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0498  acc: 0.5987  lr: 0.0000 
ep/it:215- 104 niter: 82450  472m 41s (- 2820m 55s) completed: 14%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0520  acc: 0.5986  lr: 0.0000 
ep/it:215- 154 niter: 82500  472m 57s (- 2820m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.4247  loss_TTT: 0.0514  acc: 0.5902  lr: 0.0000 
ep/it:215- 204 niter: 82550  473m 15s (- 2820m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.4389  loss_TTT: 0.0552  acc: 0.5892  lr: 0.0000 
ep/it:215- 254 niter: 82600  473m 31s (- 2819m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0522  acc: 0.5908  lr: 0.0000 
ep/it:215- 304 niter: 82650  473m 48s (- 2819m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0499  acc: 0.5986  lr: 0.0000 
ep/it:215- 354 niter: 82700  474m 4s (- 2819m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0536  acc: 0.5982  lr: 0.0000 
Validation time:
Validation loss:1.609, accuracy:0.561
ep/it:216-  21 niter: 82750  474m 24s (- 2819m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0524  acc: 0.5927  lr: 0.0000 
ep/it:216-  71 niter: 82800  474m 40s (- 2818m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0518  acc: 0.5905  lr: 0.0000 
ep/it:216- 121 niter: 82850  474m 57s (- 2818m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0515  acc: 0.6004  lr: 0.0000 
ep/it:216- 171 niter: 82900  475m 13s (- 2818m 7s) completed: 14%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0513  acc: 0.5991  lr: 0.0000 
ep/it:216- 221 niter: 82950  475m 30s (- 2817m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0511  acc: 0.6027  lr: 0.0000 
ep/it:216- 271 niter: 83000  475m 46s (- 2817m 23s) completed: 14%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0518  acc: 0.5992  lr: 0.0000 
ep/it:216- 321 niter: 83050  476m 3s (- 2817m 5s) completed: 14%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0502  acc: 0.5990  lr: 0.0000 
ep/it:216- 371 niter: 83100  476m 19s (- 2816m 43s) completed: 14%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0510  acc: 0.5999  lr: 0.0000 
Validation time:
Validation loss:1.631, accuracy:0.556
ep/it:217-  38 niter: 83150  476m 40s (- 2816m 44s) completed: 14%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0518  acc: 0.5929  lr: 0.0000 
ep/it:217-  88 niter: 83200  476m 56s (- 2816m 23s) completed: 14%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0535  acc: 0.5907  lr: 0.0000 
ep/it:217- 138 niter: 83250  477m 12s (- 2815m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0523  acc: 0.5938  lr: 0.0000 
ep/it:217- 188 niter: 83300  477m 29s (- 2815m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0509  acc: 0.5936  lr: 0.0000 
ep/it:217- 238 niter: 83350  477m 45s (- 2815m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0510  acc: 0.6022  lr: 0.0000 
ep/it:217- 288 niter: 83400  478m 1s (- 2814m 53s) completed: 14%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0499  acc: 0.6021  lr: 0.0000 
ep/it:217- 338 niter: 83450  478m 18s (- 2814m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.4226  loss_TTT: 0.0551  acc: 0.5923  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.566
ep/it:218-   5 niter: 83500  478m 39s (- 2814m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0510  acc: 0.5974  lr: 0.0000 
ep/it:218-  55 niter: 83550  478m 56s (- 2814m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0514  acc: 0.5978  lr: 0.0000 
ep/it:218- 105 niter: 83600  479m 13s (- 2813m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0521  acc: 0.5942  lr: 0.0000 
ep/it:218- 155 niter: 83650  479m 29s (- 2813m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.4452  loss_TTT: 0.0521  acc: 0.5868  lr: 0.0000 
ep/it:218- 205 niter: 83700  479m 46s (- 2813m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0507  acc: 0.5956  lr: 0.0000 
ep/it:218- 255 niter: 83750  480m 3s (- 2812m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0514  acc: 0.5899  lr: 0.0000 
ep/it:218- 305 niter: 83800  480m 19s (- 2812m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0521  acc: 0.5964  lr: 0.0000 
ep/it:218- 355 niter: 83850  480m 36s (- 2812m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0519  acc: 0.5959  lr: 0.0000 
Validation time:
Validation loss:1.615, accuracy:0.560
ep/it:219-  22 niter: 83900  480m 57s (- 2812m 22s) completed: 14%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0509  acc: 0.5934  lr: 0.0000 
ep/it:219-  72 niter: 83950  481m 14s (- 2812m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0525  acc: 0.5910  lr: 0.0000 
ep/it:219- 122 niter: 84000  481m 31s (- 2811m 47s) completed: 14%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0498  acc: 0.5964  lr: 0.0000 
ep/it:219- 172 niter: 84050  481m 49s (- 2811m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0527  acc: 0.5971  lr: 0.0000 
ep/it:219- 222 niter: 84100  482m 5s (- 2811m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0534  acc: 0.5979  lr: 0.0000 
ep/it:219- 272 niter: 84150  482m 22s (- 2810m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.4486  loss_TTT: 0.0531  acc: 0.5860  lr: 0.0000 
ep/it:219- 322 niter: 84200  482m 38s (- 2810m 28s) completed: 14%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0532  acc: 0.5987  lr: 0.0000 
ep/it:219- 372 niter: 84250  482m 55s (- 2810m 7s) completed: 14%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0529  acc: 0.5999  lr: 0.0000 
Validation time:
Validation loss:1.590, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.64it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.93it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.09it/s]
100%|██████████| 47/47 [00:06<00:00,  7.15it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5247453856281936 avg: 2.5247453856281936
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5461956709623337 avg: 2.5354705282952636
--> 	 Eva. Repeat 22 :, FID. 0.0799, Diversity Real. 9.5597, Diversity. 9.7849, R_precision_real. [0.50390625 0.70703125 0.79492188], R_precision. [0.50683594 0.6796875  0.79296875], matching_score_real. 2.9462, matching_score_pred. 2.9912, skate_ratio. 0.0451, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7021 (traj_fail_50cm (Traj err)): 0.4248 (kps_fail_20cm): 0.5112 (kps_fail_50cm (Loc. err)): 0.2683 (kps_mean_err(m) (Avg. err)): 0.4600 
ep/it:220-  39 niter: 84300  483m 24s (- 2810m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0517  acc: 0.5943  lr: 0.0000 
ep/it:220-  89 niter: 84350  483m 40s (- 2810m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.4414  loss_TTT: 0.0535  acc: 0.5874  lr: 0.0000 
ep/it:220- 139 niter: 84400  483m 57s (- 2810m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0523  acc: 0.5921  lr: 0.0000 
ep/it:220- 189 niter: 84450  484m 14s (- 2809m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.4395  loss_TTT: 0.0523  acc: 0.5880  lr: 0.0000 
ep/it:220- 239 niter: 84500  484m 31s (- 2809m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0521  acc: 0.5935  lr: 0.0000 
ep/it:220- 289 niter: 84550  484m 47s (- 2809m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0542  acc: 0.5941  lr: 0.0000 
ep/it:220- 339 niter: 84600  485m 4s (- 2808m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0529  acc: 0.5955  lr: 0.0000 
Validation time:
Validation loss:1.633, accuracy:0.558
ep/it:221-   6 niter: 84650  485m 24s (- 2808m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0509  acc: 0.5955  lr: 0.0000 
ep/it:221-  56 niter: 84700  485m 41s (- 2808m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0503  acc: 0.5918  lr: 0.0000 
ep/it:221- 106 niter: 84750  485m 58s (- 2808m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0523  acc: 0.5906  lr: 0.0000 
ep/it:221- 156 niter: 84800  486m 15s (- 2808m 0s) completed: 14%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0507  acc: 0.6024  lr: 0.0000 
ep/it:221- 206 niter: 84850  486m 31s (- 2807m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0507  acc: 0.5970  lr: 0.0000 
ep/it:221- 256 niter: 84900  486m 48s (- 2807m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0523  acc: 0.6052  lr: 0.0000 
ep/it:221- 306 niter: 84950  487m 4s (- 2806m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0507  acc: 0.5966  lr: 0.0000 
ep/it:221- 356 niter: 85000  487m 21s (- 2806m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0512  acc: 0.5947  lr: 0.0000 
Validation time:
Validation loss:1.584, accuracy:0.569
ep/it:222-  23 niter: 85050  487m 42s (- 2806m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0538  acc: 0.5985  lr: 0.0000 
ep/it:222-  73 niter: 85100  487m 59s (- 2806m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0526  acc: 0.5990  lr: 0.0000 
ep/it:222- 123 niter: 85150  488m 16s (- 2806m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0535  acc: 0.5897  lr: 0.0000 
ep/it:222- 173 niter: 85200  488m 33s (- 2805m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0487  acc: 0.5993  lr: 0.0000 
ep/it:222- 223 niter: 85250  488m 49s (- 2805m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0500  acc: 0.5982  lr: 0.0000 
ep/it:222- 273 niter: 85300  489m 6s (- 2805m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0497  acc: 0.6041  lr: 0.0000 
ep/it:222- 323 niter: 85350  489m 22s (- 2804m 42s) completed: 14%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0525  acc: 0.5983  lr: 0.0000 
ep/it:222- 373 niter: 85400  489m 39s (- 2804m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0510  acc: 0.5921  lr: 0.0000 
Validation time:
Validation loss:1.613, accuracy:0.561
ep/it:223-  40 niter: 85450  489m 59s (- 2804m 22s) completed: 14%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0526  acc: 0.5952  lr: 0.0000 
ep/it:223-  90 niter: 85500  490m 17s (- 2804m 6s) completed: 14%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0515  acc: 0.5948  lr: 0.0000 
ep/it:223- 140 niter: 85550  490m 34s (- 2803m 48s) completed: 14%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0512  acc: 0.5984  lr: 0.0000 
ep/it:223- 190 niter: 85600  490m 50s (- 2803m 27s) completed: 14%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0542  acc: 0.5958  lr: 0.0000 
ep/it:223- 240 niter: 85650  491m 7s (- 2803m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.4252  loss_TTT: 0.0522  acc: 0.5913  lr: 0.0000 
ep/it:223- 290 niter: 85700  491m 25s (- 2802m 52s) completed: 14%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0488  acc: 0.5960  lr: 0.0000 
ep/it:223- 340 niter: 85750  491m 41s (- 2802m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0529  acc: 0.6021  lr: 0.0000 
Validation time:
Validation loss:1.575, accuracy:0.569
ep/it:224-   7 niter: 85800  492m 2s (- 2802m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0505  acc: 0.5971  lr: 0.0000 
ep/it:224-  57 niter: 85850  492m 19s (- 2802m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0541  acc: 0.5955  lr: 0.0000 
ep/it:224- 107 niter: 85900  492m 35s (- 2801m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0500  acc: 0.5957  lr: 0.0000 
ep/it:224- 157 niter: 85950  492m 52s (- 2801m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.4135  loss_TTT: 0.0517  acc: 0.5944  lr: 0.0000 
ep/it:224- 207 niter: 86000  493m 9s (- 2801m 13s) completed: 14%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0512  acc: 0.5942  lr: 0.0000 
ep/it:224- 257 niter: 86050  493m 26s (- 2800m 55s) completed: 14%) loss_emb: 0.0000  loss: 1.4288  loss_TTT: 0.0521  acc: 0.5902  lr: 0.0000 
ep/it:224- 307 niter: 86100  493m 43s (- 2800m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0516  acc: 0.6018  lr: 0.0000 
ep/it:224- 357 niter: 86150  493m 59s (- 2800m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0514  acc: 0.5911  lr: 0.0000 
Validation time:
Validation loss:1.547, accuracy:0.578
Improved accuracy from 0.58 to 0.5782925927120707!!!
ep/it:225-  24 niter: 86200  494m 20s (- 2800m 18s) completed: 15%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0512  acc: 0.5955  lr: 0.0000 
ep/it:225-  74 niter: 86250  494m 38s (- 2800m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0524  acc: 0.5969  lr: 0.0000 
ep/it:225- 124 niter: 86300  494m 54s (- 2799m 43s) completed: 15%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0497  acc: 0.5993  lr: 0.0000 
ep/it:225- 174 niter: 86350  495m 11s (- 2799m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0531  acc: 0.5979  lr: 0.0000 
ep/it:225- 224 niter: 86400  495m 28s (- 2799m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0521  acc: 0.5957  lr: 0.0000 
ep/it:225- 274 niter: 86450  495m 44s (- 2798m 43s) completed: 15%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0512  acc: 0.6033  lr: 0.0000 
ep/it:225- 324 niter: 86500  496m 0s (- 2798m 18s) completed: 15%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0507  acc: 0.5914  lr: 0.0000 
ep/it:225- 374 niter: 86550  496m 17s (- 2797m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0509  acc: 0.5978  lr: 0.0000 
Validation time:
Validation loss:1.640, accuracy:0.555
ep/it:226-  41 niter: 86600  496m 37s (- 2797m 56s) completed: 15%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0527  acc: 0.5900  lr: 0.0000 
ep/it:226-  91 niter: 86650  496m 53s (- 2797m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0500  acc: 0.5991  lr: 0.0000 
ep/it:226- 141 niter: 86700  497m 9s (- 2797m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.4306  loss_TTT: 0.0530  acc: 0.5897  lr: 0.0000 
ep/it:226- 191 niter: 86750  497m 26s (- 2796m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0510  acc: 0.5957  lr: 0.0000 
ep/it:226- 241 niter: 86800  497m 42s (- 2796m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0516  acc: 0.6020  lr: 0.0000 
ep/it:226- 291 niter: 86850  497m 58s (- 2796m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0511  acc: 0.5925  lr: 0.0000 
ep/it:226- 341 niter: 86900  498m 15s (- 2795m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0520  acc: 0.5932  lr: 0.0000 
Validation time:
Validation loss:1.593, accuracy:0.566
ep/it:227-   8 niter: 86950  498m 35s (- 2795m 41s) completed: 15%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0502  acc: 0.5945  lr: 0.0000 
ep/it:227-  58 niter: 87000  498m 51s (- 2795m 18s) completed: 15%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0517  acc: 0.5980  lr: 0.0000 
ep/it:227- 108 niter: 87050  499m 8s (- 2794m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.3790  loss_TTT: 0.0525  acc: 0.6031  lr: 0.0000 
ep/it:227- 158 niter: 87100  499m 24s (- 2794m 36s) completed: 15%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0503  acc: 0.5928  lr: 0.0000 
ep/it:227- 208 niter: 87150  499m 40s (- 2794m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0520  acc: 0.5991  lr: 0.0000 
ep/it:227- 258 niter: 87200  499m 56s (- 2793m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0502  acc: 0.5963  lr: 0.0000 
ep/it:227- 308 niter: 87250  500m 13s (- 2793m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0529  acc: 0.5934  lr: 0.0000 
ep/it:227- 358 niter: 87300  500m 29s (- 2793m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0498  acc: 0.5977  lr: 0.0000 
Validation time:
Validation loss:1.586, accuracy:0.569
ep/it:228-  25 niter: 87350  500m 50s (- 2793m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0526  acc: 0.6052  lr: 0.0000 
ep/it:228-  75 niter: 87400  501m 6s (- 2792m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0508  acc: 0.6007  lr: 0.0000 
ep/it:228- 125 niter: 87450  501m 23s (- 2792m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0529  acc: 0.5957  lr: 0.0000 
ep/it:228- 175 niter: 87500  501m 40s (- 2792m 8s) completed: 15%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0501  acc: 0.5888  lr: 0.0000 
ep/it:228- 225 niter: 87550  501m 56s (- 2791m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0503  acc: 0.5980  lr: 0.0000 
ep/it:228- 275 niter: 87600  502m 12s (- 2791m 25s) completed: 15%) loss_emb: 0.0000  loss: 1.4259  loss_TTT: 0.0527  acc: 0.5918  lr: 0.0000 
ep/it:228- 325 niter: 87650  502m 29s (- 2791m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0510  acc: 0.6000  lr: 0.0000 
ep/it:228- 375 niter: 87700  502m 46s (- 2790m 44s) completed: 15%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0518  acc: 0.6008  lr: 0.0000 
Validation time:
Validation loss:1.627, accuracy:0.559
ep/it:229-  42 niter: 87750  503m 6s (- 2790m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0518  acc: 0.5996  lr: 0.0000 
ep/it:229-  92 niter: 87800  503m 22s (- 2790m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.4364  loss_TTT: 0.0519  acc: 0.5887  lr: 0.0000 
ep/it:229- 142 niter: 87850  503m 39s (- 2790m 5s) completed: 15%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0532  acc: 0.5948  lr: 0.0000 
ep/it:229- 192 niter: 87900  503m 56s (- 2789m 44s) completed: 15%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0517  acc: 0.5973  lr: 0.0000 
ep/it:229- 242 niter: 87950  504m 13s (- 2789m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.4432  loss_TTT: 0.0510  acc: 0.5848  lr: 0.0000 
ep/it:229- 292 niter: 88000  504m 29s (- 2789m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0508  acc: 0.5974  lr: 0.0000 
ep/it:229- 342 niter: 88050  504m 47s (- 2788m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0520  acc: 0.5973  lr: 0.0000 
Validation time:
Validation loss:1.614, accuracy:0.561

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.48it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.64it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.96it/s]
100%|██████████| 47/47 [00:06<00:00,  6.92it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.543304960243404 avg: 2.543304960243404
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5445868871174753 avg: 2.5439459236804396
--> 	 Eva. Repeat 22 :, FID. 0.1510, Diversity Real. 9.6481, Diversity. 9.5817, R_precision_real. [0.48828125 0.67089844 0.77441406], R_precision. [0.49804688 0.70019531 0.78222656], matching_score_real. 2.9403, matching_score_pred. 2.9545, skate_ratio. 0.0453, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7129 (traj_fail_50cm (Traj err)): 0.4238 (kps_fail_20cm): 0.5248 (kps_fail_50cm (Loc. err)): 0.2677 (kps_mean_err(m) (Avg. err)): 0.4595 
ep/it:230-   9 niter: 88100  505m 15s (- 2789m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0525  acc: 0.5993  lr: 0.0000 
ep/it:230-  59 niter: 88150  505m 31s (- 2789m 9s) completed: 15%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0509  acc: 0.5968  lr: 0.0000 
ep/it:230- 109 niter: 88200  505m 48s (- 2788m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0524  acc: 0.5900  lr: 0.0000 
ep/it:230- 159 niter: 88250  506m 4s (- 2788m 27s) completed: 15%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0529  acc: 0.5928  lr: 0.0000 
ep/it:230- 209 niter: 88300  506m 21s (- 2788m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0513  acc: 0.5929  lr: 0.0000 
ep/it:230- 259 niter: 88350  506m 38s (- 2787m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0516  acc: 0.5980  lr: 0.0000 
ep/it:230- 309 niter: 88400  506m 55s (- 2787m 31s) completed: 15%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0522  acc: 0.5979  lr: 0.0000 
ep/it:230- 359 niter: 88450  507m 12s (- 2787m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0514  acc: 0.5935  lr: 0.0000 
Validation time:
Validation loss:1.586, accuracy:0.567
ep/it:231-  26 niter: 88500  507m 32s (- 2787m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0510  acc: 0.5986  lr: 0.0000 
ep/it:231-  76 niter: 88550  507m 49s (- 2786m 51s) completed: 15%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0526  acc: 0.5954  lr: 0.0000 
ep/it:231- 126 niter: 88600  508m 5s (- 2786m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0520  acc: 0.5941  lr: 0.0000 
ep/it:231- 176 niter: 88650  508m 22s (- 2786m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0518  acc: 0.5988  lr: 0.0000 
ep/it:231- 226 niter: 88700  508m 38s (- 2785m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0515  acc: 0.5969  lr: 0.0000 
ep/it:231- 276 niter: 88750  508m 55s (- 2785m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0516  acc: 0.5974  lr: 0.0000 
ep/it:231- 326 niter: 88800  509m 12s (- 2785m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0497  acc: 0.5975  lr: 0.0000 
ep/it:231- 376 niter: 88850  509m 28s (- 2784m 44s) completed: 15%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0522  acc: 0.5982  lr: 0.0000 
Validation time:
Validation loss:1.601, accuracy:0.564
ep/it:232-  43 niter: 88900  509m 48s (- 2784m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0525  acc: 0.5963  lr: 0.0000 
ep/it:232-  93 niter: 88950  510m 4s (- 2784m 21s) completed: 15%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0507  acc: 0.6002  lr: 0.0000 
ep/it:232- 143 niter: 89000  510m 20s (- 2783m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0525  acc: 0.5988  lr: 0.0000 
ep/it:232- 193 niter: 89050  510m 37s (- 2783m 36s) completed: 15%) loss_emb: 0.0000  loss: 1.4064  loss_TTT: 0.0522  acc: 0.5959  lr: 0.0000 
ep/it:232- 243 niter: 89100  510m 53s (- 2783m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.4390  loss_TTT: 0.0517  acc: 0.5875  lr: 0.0000 
ep/it:232- 293 niter: 89150  511m 9s (- 2782m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0515  acc: 0.5903  lr: 0.0000 
ep/it:232- 343 niter: 89200  511m 25s (- 2782m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0508  acc: 0.5999  lr: 0.0000 
Validation time:
Validation loss:1.610, accuracy:0.561
ep/it:233-  10 niter: 89250  511m 46s (- 2782m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0495  acc: 0.5950  lr: 0.0000 
ep/it:233-  60 niter: 89300  512m 3s (- 2782m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0502  acc: 0.5964  lr: 0.0000 
ep/it:233- 110 niter: 89350  512m 19s (- 2781m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0506  acc: 0.5929  lr: 0.0000 
ep/it:233- 160 niter: 89400  512m 35s (- 2781m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0518  acc: 0.6007  lr: 0.0000 
ep/it:233- 210 niter: 89450  512m 52s (- 2781m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0518  acc: 0.5934  lr: 0.0000 
ep/it:233- 260 niter: 89500  513m 8s (- 2780m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0524  acc: 0.5933  lr: 0.0000 
ep/it:233- 310 niter: 89550  513m 25s (- 2780m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0513  acc: 0.5957  lr: 0.0000 
ep/it:233- 360 niter: 89600  513m 41s (- 2780m 1s) completed: 15%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0517  acc: 0.5979  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.565
ep/it:234-  27 niter: 89650  514m 2s (- 2780m 2s) completed: 15%) loss_emb: 0.0000  loss: 1.4377  loss_TTT: 0.0530  acc: 0.5878  lr: 0.0000 
ep/it:234-  77 niter: 89700  514m 18s (- 2779m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0537  acc: 0.5930  lr: 0.0000 
ep/it:234- 127 niter: 89750  514m 35s (- 2779m 21s) completed: 15%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0508  acc: 0.5973  lr: 0.0000 
ep/it:234- 177 niter: 89800  514m 51s (- 2779m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0511  acc: 0.5956  lr: 0.0000 
ep/it:234- 227 niter: 89850  515m 7s (- 2778m 37s) completed: 15%) loss_emb: 0.0000  loss: 1.4349  loss_TTT: 0.0526  acc: 0.5883  lr: 0.0000 
ep/it:234- 277 niter: 89900  515m 24s (- 2778m 15s) completed: 15%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0524  acc: 0.5898  lr: 0.0000 
ep/it:234- 327 niter: 89950  515m 39s (- 2777m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0501  acc: 0.5961  lr: 0.0000 
ep/it:234- 377 niter: 90000  515m 56s (- 2777m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0516  acc: 0.5909  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.565
ep/it:235-  44 niter: 90050  516m 16s (- 2777m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0499  acc: 0.5950  lr: 0.0000 
ep/it:235-  94 niter: 90100  516m 34s (- 2777m 14s) completed: 15%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0522  acc: 0.5939  lr: 0.0000 
ep/it:235- 144 niter: 90150  516m 50s (- 2776m 51s) completed: 15%) loss_emb: 0.0000  loss: 1.4223  loss_TTT: 0.0493  acc: 0.5923  lr: 0.0000 
ep/it:235- 194 niter: 90200  517m 6s (- 2776m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0510  acc: 0.5976  lr: 0.0000 
ep/it:235- 244 niter: 90250  517m 23s (- 2776m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0517  acc: 0.6024  lr: 0.0000 
ep/it:235- 294 niter: 90300  517m 39s (- 2775m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0498  acc: 0.5930  lr: 0.0000 
ep/it:235- 344 niter: 90350  517m 55s (- 2775m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0528  acc: 0.5889  lr: 0.0000 
Validation time:
Validation loss:1.619, accuracy:0.560
ep/it:236-  11 niter: 90400  518m 15s (- 2775m 21s) completed: 15%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0538  acc: 0.5917  lr: 0.0000 
ep/it:236-  61 niter: 90450  518m 32s (- 2774m 59s) completed: 15%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0518  acc: 0.5916  lr: 0.0000 
ep/it:236- 111 niter: 90500  518m 48s (- 2774m 37s) completed: 15%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0510  acc: 0.6022  lr: 0.0000 
ep/it:236- 161 niter: 90550  519m 6s (- 2774m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0500  acc: 0.6000  lr: 0.0000 
ep/it:236- 211 niter: 90600  519m 22s (- 2773m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0508  acc: 0.5955  lr: 0.0000 
ep/it:236- 261 niter: 90650  519m 38s (- 2773m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0517  acc: 0.5981  lr: 0.0000 
ep/it:236- 311 niter: 90700  519m 56s (- 2773m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0530  acc: 0.5913  lr: 0.0000 
ep/it:236- 361 niter: 90750  520m 12s (- 2773m 2s) completed: 15%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0516  acc: 0.5963  lr: 0.0000 
Validation time:
Validation loss:1.614, accuracy:0.560
ep/it:237-  28 niter: 90800  520m 33s (- 2773m 1s) completed: 15%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0525  acc: 0.5912  lr: 0.0000 
ep/it:237-  78 niter: 90850  520m 49s (- 2772m 41s) completed: 15%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0523  acc: 0.5854  lr: 0.0000 
ep/it:237- 128 niter: 90900  521m 6s (- 2772m 24s) completed: 15%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0495  acc: 0.5982  lr: 0.0000 
ep/it:237- 178 niter: 90950  521m 23s (- 2772m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0503  acc: 0.5936  lr: 0.0000 
ep/it:237- 228 niter: 91000  521m 40s (- 2771m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0512  acc: 0.5931  lr: 0.0000 
ep/it:237- 278 niter: 91050  521m 58s (- 2771m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0501  acc: 0.5965  lr: 0.0000 
ep/it:237- 328 niter: 91100  522m 15s (- 2771m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0520  acc: 0.5966  lr: 0.0000 
ep/it:237- 378 niter: 91150  522m 32s (- 2770m 54s) completed: 15%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0524  acc: 0.5949  lr: 0.0000 
Validation time:
Validation loss:1.585, accuracy:0.567
ep/it:238-  45 niter: 91200  522m 52s (- 2770m 52s) completed: 15%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0491  acc: 0.5903  lr: 0.0000 
ep/it:238-  95 niter: 91250  523m 9s (- 2770m 33s) completed: 15%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0514  acc: 0.5977  lr: 0.0000 
ep/it:238- 145 niter: 91300  523m 26s (- 2770m 14s) completed: 15%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0512  acc: 0.5954  lr: 0.0000 
ep/it:238- 195 niter: 91350  523m 42s (- 2769m 54s) completed: 15%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0510  acc: 0.5948  lr: 0.0000 
ep/it:238- 245 niter: 91400  523m 59s (- 2769m 36s) completed: 15%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0538  acc: 0.5945  lr: 0.0000 
ep/it:238- 295 niter: 91450  524m 16s (- 2769m 16s) completed: 15%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0509  acc: 0.5999  lr: 0.0000 
ep/it:238- 345 niter: 91500  524m 32s (- 2768m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0491  acc: 0.5975  lr: 0.0000 
Validation time:
Validation loss:1.587, accuracy:0.567
ep/it:239-  12 niter: 91550  524m 53s (- 2768m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0522  acc: 0.6013  lr: 0.0000 
ep/it:239-  62 niter: 91600  525m 10s (- 2768m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0518  acc: 0.5964  lr: 0.0000 
ep/it:239- 112 niter: 91650  525m 28s (- 2768m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0520  acc: 0.5989  lr: 0.0000 
ep/it:239- 162 niter: 91700  525m 44s (- 2768m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.4218  loss_TTT: 0.0519  acc: 0.5923  lr: 0.0000 
ep/it:239- 212 niter: 91750  526m 0s (- 2767m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0514  acc: 0.6024  lr: 0.0000 
ep/it:239- 262 niter: 91800  526m 17s (- 2767m 21s) completed: 15%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0511  acc: 0.5981  lr: 0.0000 
ep/it:239- 312 niter: 91850  526m 34s (- 2767m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0507  acc: 0.6033  lr: 0.0000 
ep/it:239- 362 niter: 91900  526m 50s (- 2766m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0500  acc: 0.5961  lr: 0.0000 
Validation time:
Validation loss:1.571, accuracy:0.572

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.45it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.67it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.04it/s]
100%|██████████| 47/47 [00:06<00:00,  7.02it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.533026535063982 avg: 2.533026535063982
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.51758354017511 avg: 2.525305037619546
--> 	 Eva. Repeat 22 :, FID. 0.0774, Diversity Real. 9.6633, Diversity. 9.8131, R_precision_real. [0.50683594 0.71582031 0.80175781], R_precision. [0.49609375 0.703125   0.80273438], matching_score_real. 2.8847, matching_score_pred. 2.9452, skate_ratio. 0.0484, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7236 (traj_fail_50cm (Traj err)): 0.4365 (kps_fail_20cm): 0.5323 (kps_fail_50cm (Loc. err)): 0.2797 (kps_mean_err(m) (Avg. err)): 0.4852 
ep/it:240-  29 niter: 91950  527m 19s (- 2767m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0526  acc: 0.5964  lr: 0.0000 
ep/it:240-  79 niter: 92000  527m 35s (- 2767m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0514  acc: 0.6082  lr: 0.0000 
ep/it:240- 129 niter: 92050  527m 53s (- 2766m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0507  acc: 0.5969  lr: 0.0000 
ep/it:240- 179 niter: 92100  528m 10s (- 2766m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.4417  loss_TTT: 0.0524  acc: 0.5863  lr: 0.0000 
ep/it:240- 229 niter: 92150  528m 27s (- 2766m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0518  acc: 0.5962  lr: 0.0000 
ep/it:240- 279 niter: 92200  528m 44s (- 2765m 53s) completed: 16%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0496  acc: 0.6054  lr: 0.0000 
ep/it:240- 329 niter: 92250  529m 1s (- 2765m 34s) completed: 16%) loss_emb: 0.0000  loss: 1.4468  loss_TTT: 0.0513  acc: 0.5863  lr: 0.0000 
ep/it:240- 379 niter: 92300  529m 18s (- 2765m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0497  acc: 0.5981  lr: 0.0000 
Validation time:
Validation loss:1.625, accuracy:0.558
ep/it:241-  46 niter: 92350  529m 39s (- 2765m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0505  acc: 0.5935  lr: 0.0000 
ep/it:241-  96 niter: 92400  529m 56s (- 2764m 57s) completed: 16%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0516  acc: 0.6024  lr: 0.0000 
ep/it:241- 146 niter: 92450  530m 12s (- 2764m 37s) completed: 16%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0517  acc: 0.5995  lr: 0.0000 
ep/it:241- 196 niter: 92500  530m 29s (- 2764m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.4252  loss_TTT: 0.0492  acc: 0.5895  lr: 0.0000 
ep/it:241- 246 niter: 92550  530m 46s (- 2764m 0s) completed: 16%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0506  acc: 0.6020  lr: 0.0000 
ep/it:241- 296 niter: 92600  531m 3s (- 2763m 38s) completed: 16%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0514  acc: 0.5912  lr: 0.0000 
ep/it:241- 346 niter: 92650  531m 19s (- 2763m 19s) completed: 16%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0518  acc: 0.5937  lr: 0.0000 
Validation time:
Validation loss:1.584, accuracy:0.569
ep/it:242-  13 niter: 92700  531m 40s (- 2763m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0519  acc: 0.5992  lr: 0.0000 
ep/it:242-  63 niter: 92750  531m 56s (- 2762m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0513  acc: 0.5954  lr: 0.0000 
ep/it:242- 113 niter: 92800  532m 13s (- 2762m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0516  acc: 0.6005  lr: 0.0000 
ep/it:242- 163 niter: 92850  532m 30s (- 2762m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0530  acc: 0.5907  lr: 0.0000 
ep/it:242- 213 niter: 92900  532m 47s (- 2762m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0500  acc: 0.6012  lr: 0.0000 
ep/it:242- 263 niter: 92950  533m 4s (- 2761m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0494  acc: 0.5966  lr: 0.0000 
ep/it:242- 313 niter: 93000  533m 20s (- 2761m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0529  acc: 0.5977  lr: 0.0000 
ep/it:242- 363 niter: 93050  533m 37s (- 2761m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0510  acc: 0.5917  lr: 0.0000 
Validation time:
Validation loss:1.611, accuracy:0.560
ep/it:243-  30 niter: 93100  533m 57s (- 2761m 0s) completed: 16%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0521  acc: 0.5964  lr: 0.0000 
ep/it:243-  80 niter: 93150  534m 14s (- 2760m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0502  acc: 0.5941  lr: 0.0000 
ep/it:243- 130 niter: 93200  534m 31s (- 2760m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0522  acc: 0.5955  lr: 0.0000 
ep/it:243- 180 niter: 93250  534m 48s (- 2760m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0531  acc: 0.5926  lr: 0.0000 
ep/it:243- 230 niter: 93300  535m 4s (- 2759m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0520  acc: 0.5955  lr: 0.0000 
ep/it:243- 280 niter: 93350  535m 21s (- 2759m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0507  acc: 0.6012  lr: 0.0000 
ep/it:243- 330 niter: 93400  535m 37s (- 2759m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0535  acc: 0.5916  lr: 0.0000 
ep/it:243- 380 niter: 93450  535m 54s (- 2758m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0514  acc: 0.6002  lr: 0.0000 
Validation time:
Validation loss:1.651, accuracy:0.552
ep/it:244-  47 niter: 93500  536m 14s (- 2758m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0517  acc: 0.5956  lr: 0.0000 
ep/it:244-  97 niter: 93550  536m 31s (- 2758m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.4418  loss_TTT: 0.0503  acc: 0.5866  lr: 0.0000 
ep/it:244- 147 niter: 93600  536m 48s (- 2758m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0543  acc: 0.5923  lr: 0.0000 
ep/it:244- 197 niter: 93650  537m 5s (- 2757m 44s) completed: 16%) loss_emb: 0.0000  loss: 1.4443  loss_TTT: 0.0528  acc: 0.5858  lr: 0.0000 
ep/it:244- 247 niter: 93700  537m 22s (- 2757m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.4363  loss_TTT: 0.0503  acc: 0.5885  lr: 0.0000 
ep/it:244- 297 niter: 93750  537m 39s (- 2757m 4s) completed: 16%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0523  acc: 0.5949  lr: 0.0000 
ep/it:244- 347 niter: 93800  537m 55s (- 2756m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0529  acc: 0.5942  lr: 0.0000 
Validation time:
Validation loss:1.627, accuracy:0.557
ep/it:245-  14 niter: 93850  538m 15s (- 2756m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0510  acc: 0.6043  lr: 0.0000 
ep/it:245-  64 niter: 93900  538m 33s (- 2756m 24s) completed: 16%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0536  acc: 0.5944  lr: 0.0000 
ep/it:245- 114 niter: 93950  538m 49s (- 2756m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0508  acc: 0.6017  lr: 0.0000 
ep/it:245- 164 niter: 94000  539m 5s (- 2755m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0503  acc: 0.5914  lr: 0.0000 
ep/it:245- 214 niter: 94050  539m 22s (- 2755m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0507  acc: 0.5967  lr: 0.0000 
ep/it:245- 264 niter: 94100  539m 39s (- 2755m 4s) completed: 16%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0508  acc: 0.5999  lr: 0.0000 
ep/it:245- 314 niter: 94150  539m 56s (- 2754m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.4030  loss_TTT: 0.0520  acc: 0.5965  lr: 0.0000 
ep/it:245- 364 niter: 94200  540m 12s (- 2754m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0515  acc: 0.6016  lr: 0.0000 
Validation time:
Validation loss:1.615, accuracy:0.563
ep/it:246-  31 niter: 94250  540m 32s (- 2754m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0540  acc: 0.5908  lr: 0.0000 
ep/it:246-  81 niter: 94300  540m 49s (- 2753m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0517  acc: 0.5947  lr: 0.0000 
ep/it:246- 131 niter: 94350  541m 5s (- 2753m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0524  acc: 0.5927  lr: 0.0000 
ep/it:246- 181 niter: 94400  541m 21s (- 2753m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0506  acc: 0.5927  lr: 0.0000 
ep/it:246- 231 niter: 94450  541m 37s (- 2752m 53s) completed: 16%) loss_emb: 0.0000  loss: 1.4340  loss_TTT: 0.0501  acc: 0.5882  lr: 0.0000 
ep/it:246- 281 niter: 94500  541m 54s (- 2752m 32s) completed: 16%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0501  acc: 0.5894  lr: 0.0000 
ep/it:246- 331 niter: 94550  542m 11s (- 2752m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0500  acc: 0.6018  lr: 0.0000 
ep/it:246- 381 niter: 94600  542m 28s (- 2751m 54s) completed: 16%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0517  acc: 0.5977  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.567
ep/it:247-  48 niter: 94650  542m 48s (- 2751m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.4336  loss_TTT: 0.0514  acc: 0.5897  lr: 0.0000 
ep/it:247-  98 niter: 94700  543m 5s (- 2751m 32s) completed: 16%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0522  acc: 0.5930  lr: 0.0000 
ep/it:247- 148 niter: 94750  543m 22s (- 2751m 15s) completed: 16%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0518  acc: 0.5951  lr: 0.0000 
ep/it:247- 198 niter: 94800  543m 38s (- 2750m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0506  acc: 0.5997  lr: 0.0000 
ep/it:247- 248 niter: 94850  543m 56s (- 2750m 38s) completed: 16%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0508  acc: 0.5982  lr: 0.0000 
ep/it:247- 298 niter: 94900  544m 13s (- 2750m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0504  acc: 0.5941  lr: 0.0000 
ep/it:247- 348 niter: 94950  544m 29s (- 2749m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0504  acc: 0.5904  lr: 0.0000 
Validation time:
Validation loss:1.599, accuracy:0.565
ep/it:248-  15 niter: 95000  544m 50s (- 2749m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0529  acc: 0.5899  lr: 0.0000 
ep/it:248-  65 niter: 95050  545m 6s (- 2749m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0520  acc: 0.6000  lr: 0.0000 
ep/it:248- 115 niter: 95100  545m 23s (- 2749m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.4287  loss_TTT: 0.0511  acc: 0.5888  lr: 0.0000 
ep/it:248- 165 niter: 95150  545m 40s (- 2748m 59s) completed: 16%) loss_emb: 0.0000  loss: 1.4277  loss_TTT: 0.0508  acc: 0.5901  lr: 0.0000 
ep/it:248- 215 niter: 95200  545m 57s (- 2748m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0529  acc: 0.5925  lr: 0.0000 
ep/it:248- 265 niter: 95250  546m 14s (- 2748m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0489  acc: 0.6000  lr: 0.0000 
ep/it:248- 315 niter: 95300  546m 30s (- 2748m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0511  acc: 0.5916  lr: 0.0000 
ep/it:248- 365 niter: 95350  546m 47s (- 2747m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0498  acc: 0.5937  lr: 0.0000 
Validation time:
Validation loss:1.579, accuracy:0.570
ep/it:249-  32 niter: 95400  547m 8s (- 2747m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0500  acc: 0.5995  lr: 0.0000 
ep/it:249-  82 niter: 95450  547m 24s (- 2747m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.4429  loss_TTT: 0.0524  acc: 0.5866  lr: 0.0000 
ep/it:249- 132 niter: 95500  547m 41s (- 2747m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0536  acc: 0.5967  lr: 0.0000 
ep/it:249- 182 niter: 95550  547m 58s (- 2746m 44s) completed: 16%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0506  acc: 0.5972  lr: 0.0000 
ep/it:249- 232 niter: 95600  548m 14s (- 2746m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0525  acc: 0.5895  lr: 0.0000 
ep/it:249- 282 niter: 95650  548m 31s (- 2746m 4s) completed: 16%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0511  acc: 0.5985  lr: 0.0000 
ep/it:249- 332 niter: 95700  548m 48s (- 2745m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0507  acc: 0.5939  lr: 0.0000 
ep/it:249- 382 niter: 95750  549m 4s (- 2745m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0511  acc: 0.6011  lr: 0.0000 
Validation time:
Validation loss:1.622, accuracy:0.557

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.70it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.64it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.94it/s]
100%|██████████| 47/47 [00:06<00:00,  6.92it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5561312162317336 avg: 2.5561312162317336
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.540659634862095 avg: 2.5483954255469143
--> 	 Eva. Repeat 22 :, FID. 0.1062, Diversity Real. 9.2903, Diversity. 9.7079, R_precision_real. [0.52441406 0.71191406 0.8046875 ], R_precision. [0.51757812 0.70410156 0.80566406], matching_score_real. 2.8901, matching_score_pred. 2.9663, skate_ratio. 0.0486, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7344 (traj_fail_50cm (Traj err)): 0.4238 (kps_fail_20cm): 0.5416 (kps_fail_50cm (Loc. err)): 0.2739 (kps_mean_err(m) (Avg. err)): 0.4982 
ep/it:250-  49 niter: 95800  549m 33s (- 2746m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0512  acc: 0.6002  lr: 0.0000 
ep/it:250-  99 niter: 95850  549m 49s (- 2745m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0520  acc: 0.5950  lr: 0.0000 
ep/it:250- 149 niter: 95900  550m 6s (- 2745m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.4384  loss_TTT: 0.0510  acc: 0.5877  lr: 0.0000 
ep/it:250- 199 niter: 95950  550m 23s (- 2745m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0510  acc: 0.5982  lr: 0.0000 
ep/it:250- 249 niter: 96000  550m 39s (- 2744m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0500  acc: 0.5918  lr: 0.0000 
ep/it:250- 299 niter: 96050  550m 57s (- 2744m 26s) completed: 16%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0499  acc: 0.5994  lr: 0.0000 
ep/it:250- 349 niter: 96100  551m 14s (- 2744m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0495  acc: 0.5955  lr: 0.0000 
Validation time:
Validation loss:1.569, accuracy:0.574
ep/it:251-  16 niter: 96150  551m 34s (- 2744m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0498  acc: 0.5926  lr: 0.0000 
ep/it:251-  66 niter: 96200  551m 51s (- 2743m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0520  acc: 0.5975  lr: 0.0000 
ep/it:251- 116 niter: 96250  552m 7s (- 2743m 24s) completed: 16%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0491  acc: 0.5967  lr: 0.0000 
ep/it:251- 166 niter: 96300  552m 23s (- 2743m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0533  acc: 0.5902  lr: 0.0000 
ep/it:251- 216 niter: 96350  552m 40s (- 2742m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0506  acc: 0.5963  lr: 0.0000 
ep/it:251- 266 niter: 96400  552m 57s (- 2742m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.4380  loss_TTT: 0.0502  acc: 0.5877  lr: 0.0000 
ep/it:251- 316 niter: 96450  553m 13s (- 2742m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0511  acc: 0.6051  lr: 0.0000 
ep/it:251- 366 niter: 96500  553m 30s (- 2741m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0524  acc: 0.5995  lr: 0.0000 
Validation time:
Validation loss:1.649, accuracy:0.554
ep/it:252-  33 niter: 96550  553m 50s (- 2741m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0502  acc: 0.5935  lr: 0.0000 
ep/it:252-  83 niter: 96600  554m 7s (- 2741m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0512  acc: 0.5903  lr: 0.0000 
ep/it:252- 133 niter: 96650  554m 24s (- 2741m 4s) completed: 16%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0503  acc: 0.5965  lr: 0.0000 
ep/it:252- 183 niter: 96700  554m 40s (- 2740m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0509  acc: 0.5926  lr: 0.0000 
ep/it:252- 233 niter: 96750  554m 57s (- 2740m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0511  acc: 0.5958  lr: 0.0000 
ep/it:252- 283 niter: 96800  555m 14s (- 2740m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0501  acc: 0.6031  lr: 0.0000 
ep/it:252- 333 niter: 96850  555m 30s (- 2739m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0496  acc: 0.6039  lr: 0.0000 
Validation time:
Validation loss:1.566, accuracy:0.573
ep/it:253-   0 niter: 96900  555m 51s (- 2739m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0520  acc: 0.6019  lr: 0.0000 
ep/it:253-  50 niter: 96950  556m 8s (- 2739m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0495  acc: 0.5963  lr: 0.0000 
ep/it:253- 100 niter: 97000  556m 24s (- 2738m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0536  acc: 0.5955  lr: 0.0000 
ep/it:253- 150 niter: 97050  556m 40s (- 2738m 38s) completed: 16%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0511  acc: 0.5956  lr: 0.0000 
ep/it:253- 200 niter: 97100  556m 57s (- 2738m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0504  acc: 0.5933  lr: 0.0000 
ep/it:253- 250 niter: 97150  557m 13s (- 2737m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.4173  loss_TTT: 0.0503  acc: 0.5928  lr: 0.0000 
ep/it:253- 300 niter: 97200  557m 30s (- 2737m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0530  acc: 0.5926  lr: 0.0000 
ep/it:253- 350 niter: 97250  557m 46s (- 2737m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0495  acc: 0.5972  lr: 0.0000 
Validation time:
Validation loss:1.555, accuracy:0.574
ep/it:254-  17 niter: 97300  558m 6s (- 2737m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0501  acc: 0.5952  lr: 0.0000 
ep/it:254-  67 niter: 97350  558m 22s (- 2736m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0501  acc: 0.5958  lr: 0.0000 
ep/it:254- 117 niter: 97400  558m 39s (- 2736m 31s) completed: 16%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0513  acc: 0.5920  lr: 0.0000 
ep/it:254- 167 niter: 97450  558m 55s (- 2736m 9s) completed: 16%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0516  acc: 0.5925  lr: 0.0000 
ep/it:254- 217 niter: 97500  559m 12s (- 2735m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.4155  loss_TTT: 0.0506  acc: 0.5932  lr: 0.0000 
ep/it:254- 267 niter: 97550  559m 29s (- 2735m 33s) completed: 16%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0508  acc: 0.5989  lr: 0.0000 
ep/it:254- 317 niter: 97600  559m 46s (- 2735m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0519  acc: 0.6011  lr: 0.0000 
ep/it:254- 367 niter: 97650  560m 3s (- 2734m 53s) completed: 16%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0513  acc: 0.6041  lr: 0.0000 
Validation time:
Validation loss:1.605, accuracy:0.562
ep/it:255-  34 niter: 97700  560m 24s (- 2734m 55s) completed: 17%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0540  acc: 0.5963  lr: 0.0000 
ep/it:255-  84 niter: 97750  560m 40s (- 2734m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0493  acc: 0.5908  lr: 0.0000 
ep/it:255- 134 niter: 97800  560m 57s (- 2734m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0527  acc: 0.5912  lr: 0.0000 
ep/it:255- 184 niter: 97850  561m 13s (- 2733m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0532  acc: 0.5918  lr: 0.0000 
ep/it:255- 234 niter: 97900  561m 30s (- 2733m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0507  acc: 0.5979  lr: 0.0000 
ep/it:255- 284 niter: 97950  561m 47s (- 2733m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0515  acc: 0.5984  lr: 0.0000 
ep/it:255- 334 niter: 98000  562m 4s (- 2732m 57s) completed: 17%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0518  acc: 0.5920  lr: 0.0000 
Validation time:
Validation loss:1.610, accuracy:0.563
ep/it:256-   1 niter: 98050  562m 25s (- 2732m 59s) completed: 17%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0517  acc: 0.5940  lr: 0.0000 
ep/it:256-  51 niter: 98100  562m 42s (- 2732m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0484  acc: 0.6009  lr: 0.0000 
ep/it:256- 101 niter: 98150  562m 59s (- 2732m 19s) completed: 17%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0516  acc: 0.5992  lr: 0.0000 
ep/it:256- 151 niter: 98200  563m 16s (- 2732m 1s) completed: 17%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0487  acc: 0.5996  lr: 0.0000 
ep/it:256- 201 niter: 98250  563m 32s (- 2731m 42s) completed: 17%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0515  acc: 0.5947  lr: 0.0000 
ep/it:256- 251 niter: 98300  563m 49s (- 2731m 24s) completed: 17%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0514  acc: 0.5994  lr: 0.0000 
ep/it:256- 301 niter: 98350  564m 6s (- 2731m 4s) completed: 17%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0495  acc: 0.5988  lr: 0.0000 
ep/it:256- 351 niter: 98400  564m 23s (- 2730m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0517  acc: 0.5996  lr: 0.0000 
Validation time:
Validation loss:1.606, accuracy:0.563
ep/it:257-  18 niter: 98450  564m 43s (- 2730m 41s) completed: 17%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0520  acc: 0.5931  lr: 0.0000 
ep/it:257-  68 niter: 98500  565m 0s (- 2730m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.4207  loss_TTT: 0.0514  acc: 0.5915  lr: 0.0000 
ep/it:257- 118 niter: 98550  565m 17s (- 2730m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.3954  loss_TTT: 0.0500  acc: 0.5993  lr: 0.0000 
ep/it:257- 168 niter: 98600  565m 33s (- 2729m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0508  acc: 0.5992  lr: 0.0000 
ep/it:257- 218 niter: 98650  565m 50s (- 2729m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0525  acc: 0.5960  lr: 0.0000 
ep/it:257- 268 niter: 98700  566m 7s (- 2729m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0525  acc: 0.5939  lr: 0.0000 
ep/it:257- 318 niter: 98750  566m 23s (- 2728m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0514  acc: 0.5944  lr: 0.0000 
ep/it:257- 368 niter: 98800  566m 40s (- 2728m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0497  acc: 0.5955  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.564
ep/it:258-  35 niter: 98850  567m 1s (- 2728m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0505  acc: 0.5917  lr: 0.0000 
ep/it:258-  85 niter: 98900  567m 18s (- 2728m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0509  acc: 0.5998  lr: 0.0000 
ep/it:258- 135 niter: 98950  567m 35s (- 2727m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0515  acc: 0.5908  lr: 0.0000 
ep/it:258- 185 niter: 99000  567m 51s (- 2727m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.4194  loss_TTT: 0.0520  acc: 0.5924  lr: 0.0000 
ep/it:258- 235 niter: 99050  568m 8s (- 2727m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0514  acc: 0.6012  lr: 0.0000 
ep/it:258- 285 niter: 99100  568m 25s (- 2726m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0512  acc: 0.5964  lr: 0.0000 
ep/it:258- 335 niter: 99150  568m 42s (- 2726m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0501  acc: 0.6022  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.567
ep/it:259-   2 niter: 99200  569m 3s (- 2726m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0519  acc: 0.5904  lr: 0.0000 
ep/it:259-  52 niter: 99250  569m 20s (- 2726m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.4436  loss_TTT: 0.0523  acc: 0.5861  lr: 0.0000 
ep/it:259- 102 niter: 99300  569m 37s (- 2725m 54s) completed: 17%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0501  acc: 0.5939  lr: 0.0000 
ep/it:259- 152 niter: 99350  569m 53s (- 2725m 34s) completed: 17%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0520  acc: 0.6013  lr: 0.0000 
ep/it:259- 202 niter: 99400  570m 10s (- 2725m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0501  acc: 0.5934  lr: 0.0000 
ep/it:259- 252 niter: 99450  570m 26s (- 2724m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0504  acc: 0.6003  lr: 0.0000 
ep/it:259- 302 niter: 99500  570m 43s (- 2724m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0520  acc: 0.6009  lr: 0.0000 
ep/it:259- 352 niter: 99550  570m 59s (- 2724m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0515  acc: 0.5973  lr: 0.0000 
Validation time:
Validation loss:1.566, accuracy:0.572

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.52it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.90it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.06it/s]
100%|██████████| 47/47 [00:06<00:00,  7.10it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5317977340891957 avg: 2.5317977340891957
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5605878150090575 avg: 2.5461927745491266
--> 	 Eva. Repeat 22 :, FID. 0.1096, Diversity Real. 9.7298, Diversity. 9.9841, R_precision_real. [0.49804688 0.69726562 0.78027344], R_precision. [0.49609375 0.68945312 0.79296875], matching_score_real. 2.9246, matching_score_pred. 2.9184, skate_ratio. 0.0470, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7119 (traj_fail_50cm (Traj err)): 0.4434 (kps_fail_20cm): 0.5306 (kps_fail_50cm (Loc. err)): 0.2766 (kps_mean_err(m) (Avg. err)): 0.4802 
ep/it:260-  19 niter: 99600  571m 30s (- 2725m 0s) completed: 17%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0496  acc: 0.5937  lr: 0.0000 
ep/it:260-  69 niter: 99650  571m 47s (- 2724m 40s) completed: 17%) loss_emb: 0.0000  loss: 1.4265  loss_TTT: 0.0539  acc: 0.5907  lr: 0.0000 
ep/it:260- 119 niter: 99700  572m 3s (- 2724m 20s) completed: 17%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0501  acc: 0.5918  lr: 0.0000 
ep/it:260- 169 niter: 99750  572m 20s (- 2724m 1s) completed: 17%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0512  acc: 0.5956  lr: 0.0000 
ep/it:260- 219 niter: 99800  572m 37s (- 2723m 41s) completed: 17%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0513  acc: 0.5982  lr: 0.0000 
ep/it:260- 269 niter: 99850  572m 53s (- 2723m 21s) completed: 17%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0509  acc: 0.5972  lr: 0.0000 
ep/it:260- 319 niter: 99900  573m 10s (- 2723m 2s) completed: 17%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0519  acc: 0.5987  lr: 0.0000 
ep/it:260- 369 niter: 99950  573m 27s (- 2722m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0506  acc: 0.5945  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.562
ep/it:261-  36 niter:100000  573m 48s (- 2722m 42s) completed: 17%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0492  acc: 0.5998  lr: 0.0000 
ep/it:261-  86 niter:100050  574m 5s (- 2722m 24s) completed: 17%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0510  acc: 0.6016  lr: 0.0000 
ep/it:261- 136 niter:100100  574m 22s (- 2722m 8s) completed: 17%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0525  acc: 0.5943  lr: 0.0000 
ep/it:261- 186 niter:100150  574m 39s (- 2721m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0510  acc: 0.5939  lr: 0.0000 
ep/it:261- 236 niter:100200  574m 55s (- 2721m 27s) completed: 17%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0520  acc: 0.5953  lr: 0.0000 
ep/it:261- 286 niter:100250  575m 12s (- 2721m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0502  acc: 0.5911  lr: 0.0000 
ep/it:261- 336 niter:100300  575m 29s (- 2720m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0498  acc: 0.5952  lr: 0.0000 
Validation time:
Validation loss:1.552, accuracy:0.576
ep/it:262-   3 niter:100350  575m 50s (- 2720m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0516  acc: 0.5955  lr: 0.0000 
ep/it:262-  53 niter:100400  576m 6s (- 2720m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.4274  loss_TTT: 0.0514  acc: 0.5899  lr: 0.0000 
ep/it:262- 103 niter:100450  576m 23s (- 2720m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0517  acc: 0.5976  lr: 0.0000 
ep/it:262- 153 niter:100500  576m 40s (- 2719m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0522  acc: 0.6008  lr: 0.0000 
ep/it:262- 203 niter:100550  576m 57s (- 2719m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0508  acc: 0.5963  lr: 0.0000 
ep/it:262- 253 niter:100600  577m 14s (- 2719m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.4190  loss_TTT: 0.0508  acc: 0.5932  lr: 0.0000 
ep/it:262- 303 niter:100650  577m 30s (- 2718m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0510  acc: 0.5957  lr: 0.0000 
ep/it:262- 353 niter:100700  577m 47s (- 2718m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0506  acc: 0.5893  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.566
ep/it:263-  20 niter:100750  578m 7s (- 2718m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0515  acc: 0.5974  lr: 0.0000 
ep/it:263-  70 niter:100800  578m 23s (- 2718m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0523  acc: 0.6040  lr: 0.0000 
ep/it:263- 120 niter:100850  578m 40s (- 2717m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0519  acc: 0.5953  lr: 0.0000 
ep/it:263- 170 niter:100900  578m 57s (- 2717m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.4286  loss_TTT: 0.0506  acc: 0.5908  lr: 0.0000 
ep/it:263- 220 niter:100950  579m 13s (- 2717m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0509  acc: 0.5943  lr: 0.0000 
ep/it:263- 270 niter:101000  579m 30s (- 2716m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.4387  loss_TTT: 0.0508  acc: 0.5866  lr: 0.0000 
ep/it:263- 320 niter:101050  579m 47s (- 2716m 30s) completed: 17%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0512  acc: 0.5987  lr: 0.0000 
ep/it:263- 370 niter:101100  580m 4s (- 2716m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0517  acc: 0.5962  lr: 0.0000 
Validation time:
Validation loss:1.628, accuracy:0.555
ep/it:264-  37 niter:101150  580m 25s (- 2716m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.4485  loss_TTT: 0.0520  acc: 0.5849  lr: 0.0000 
ep/it:264-  87 niter:101200  580m 41s (- 2715m 51s) completed: 17%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0506  acc: 0.5996  lr: 0.0000 
ep/it:264- 137 niter:101250  580m 58s (- 2715m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0502  acc: 0.6017  lr: 0.0000 
ep/it:264- 187 niter:101300  581m 15s (- 2715m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0506  acc: 0.6005  lr: 0.0000 
ep/it:264- 237 niter:101350  581m 31s (- 2714m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0502  acc: 0.5920  lr: 0.0000 
ep/it:264- 287 niter:101400  581m 48s (- 2714m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0506  acc: 0.6079  lr: 0.0000 
ep/it:264- 337 niter:101450  582m 5s (- 2714m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0523  acc: 0.5970  lr: 0.0000 
Validation time:
Validation loss:1.575, accuracy:0.570
ep/it:265-   4 niter:101500  582m 26s (- 2714m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0501  acc: 0.5950  lr: 0.0000 
ep/it:265-  54 niter:101550  582m 42s (- 2713m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0501  acc: 0.5903  lr: 0.0000 
ep/it:265- 104 niter:101600  582m 59s (- 2713m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0492  acc: 0.5942  lr: 0.0000 
ep/it:265- 154 niter:101650  583m 15s (- 2713m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0502  acc: 0.5995  lr: 0.0000 
ep/it:265- 204 niter:101700  583m 32s (- 2712m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0494  acc: 0.5968  lr: 0.0000 
ep/it:265- 254 niter:101750  583m 48s (- 2712m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0507  acc: 0.5970  lr: 0.0000 
ep/it:265- 304 niter:101800  584m 5s (- 2712m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0531  acc: 0.5931  lr: 0.0000 
ep/it:265- 354 niter:101850  584m 22s (- 2711m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0492  acc: 0.5985  lr: 0.0000 
Validation time:
Validation loss:1.614, accuracy:0.560
ep/it:266-  21 niter:101900  584m 42s (- 2711m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0522  acc: 0.5967  lr: 0.0000 
ep/it:266-  71 niter:101950  584m 59s (- 2711m 30s) completed: 17%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0506  acc: 0.5926  lr: 0.0000 
ep/it:266- 121 niter:102000  585m 16s (- 2711m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0515  acc: 0.5988  lr: 0.0000 
ep/it:266- 171 niter:102050  585m 33s (- 2710m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0505  acc: 0.6010  lr: 0.0000 
ep/it:266- 221 niter:102100  585m 49s (- 2710m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0502  acc: 0.5949  lr: 0.0000 
ep/it:266- 271 niter:102150  586m 6s (- 2710m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0508  acc: 0.5955  lr: 0.0000 
ep/it:266- 321 niter:102200  586m 22s (- 2709m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0502  acc: 0.5915  lr: 0.0000 
ep/it:266- 371 niter:102250  586m 39s (- 2709m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0506  acc: 0.6018  lr: 0.0000 
Validation time:
Validation loss:1.604, accuracy:0.562
ep/it:267-  38 niter:102300  587m 0s (- 2709m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0489  acc: 0.6031  lr: 0.0000 
ep/it:267-  88 niter:102350  587m 16s (- 2709m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0523  acc: 0.5923  lr: 0.0000 
ep/it:267- 138 niter:102400  587m 33s (- 2708m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0511  acc: 0.5963  lr: 0.0000 
ep/it:267- 188 niter:102450  587m 50s (- 2708m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0515  acc: 0.5978  lr: 0.0000 
ep/it:267- 238 niter:102500  588m 7s (- 2708m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0511  acc: 0.5969  lr: 0.0000 
ep/it:267- 288 niter:102550  588m 24s (- 2707m 54s) completed: 17%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0497  acc: 0.5924  lr: 0.0000 
ep/it:267- 338 niter:102600  588m 40s (- 2707m 34s) completed: 17%) loss_emb: 0.0000  loss: 1.4334  loss_TTT: 0.0504  acc: 0.5889  lr: 0.0000 
Validation time:
Validation loss:1.579, accuracy:0.570
ep/it:268-   5 niter:102650  589m 0s (- 2707m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0492  acc: 0.5927  lr: 0.0000 
ep/it:268-  55 niter:102700  589m 17s (- 2707m 9s) completed: 17%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0491  acc: 0.5971  lr: 0.0000 
ep/it:268- 105 niter:102750  589m 33s (- 2706m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0517  acc: 0.5963  lr: 0.0000 
ep/it:268- 155 niter:102800  589m 50s (- 2706m 30s) completed: 17%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0513  acc: 0.5970  lr: 0.0000 
ep/it:268- 205 niter:102850  590m 7s (- 2706m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0500  acc: 0.5925  lr: 0.0000 
ep/it:268- 255 niter:102900  590m 23s (- 2705m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0484  acc: 0.5965  lr: 0.0000 
ep/it:268- 305 niter:102950  590m 39s (- 2705m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0516  acc: 0.5921  lr: 0.0000 
ep/it:268- 355 niter:103000  590m 56s (- 2705m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0531  acc: 0.5963  lr: 0.0000 
Validation time:
Validation loss:1.570, accuracy:0.572
ep/it:269-  22 niter:103050  591m 17s (- 2705m 8s) completed: 17%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0512  acc: 0.5940  lr: 0.0000 
ep/it:269-  72 niter:103100  591m 34s (- 2704m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.3886  loss_TTT: 0.0496  acc: 0.6017  lr: 0.0000 
ep/it:269- 122 niter:103150  591m 50s (- 2704m 27s) completed: 17%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0506  acc: 0.5951  lr: 0.0000 
ep/it:269- 172 niter:103200  592m 7s (- 2704m 9s) completed: 17%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0496  acc: 0.5904  lr: 0.0000 
ep/it:269- 222 niter:103250  592m 23s (- 2703m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0506  acc: 0.5933  lr: 0.0000 
ep/it:269- 272 niter:103300  592m 40s (- 2703m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0518  acc: 0.5943  lr: 0.0000 
ep/it:269- 322 niter:103350  592m 57s (- 2703m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0503  acc: 0.6002  lr: 0.0000 
ep/it:269- 372 niter:103400  593m 13s (- 2702m 47s) completed: 17%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0515  acc: 0.5953  lr: 0.0000 
Validation time:
Validation loss:1.637, accuracy:0.555

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.62it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.90it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.06it/s]
100%|██████████| 47/47 [00:06<00:00,  7.09it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.528736709151417 avg: 2.528736709151417
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5520624918863177 avg: 2.5403996005188674
--> 	 Eva. Repeat 22 :, FID. 0.0913, Diversity Real. 9.3154, Diversity. 9.9356, R_precision_real. [0.52441406 0.70507812 0.79003906], R_precision. [0.49902344 0.703125   0.80664062], matching_score_real. 2.9125, matching_score_pred. 2.9738, skate_ratio. 0.0486, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7148 (traj_fail_50cm (Traj err)): 0.4160 (kps_fail_20cm): 0.5368 (kps_fail_50cm (Loc. err)): 0.2691 (kps_mean_err(m) (Avg. err)): 0.4747 
ep/it:270-  39 niter:103450  593m 42s (- 2703m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0504  acc: 0.5995  lr: 0.0000 
ep/it:270-  89 niter:103500  593m 59s (- 2703m 7s) completed: 18%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0496  acc: 0.5935  lr: 0.0000 
ep/it:270- 139 niter:103550  594m 16s (- 2702m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.3813  loss_TTT: 0.0514  acc: 0.6011  lr: 0.0000 
ep/it:270- 189 niter:103600  594m 33s (- 2702m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0513  acc: 0.6004  lr: 0.0000 
ep/it:270- 239 niter:103650  594m 49s (- 2702m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0498  acc: 0.5992  lr: 0.0000 
ep/it:270- 289 niter:103700  595m 6s (- 2701m 50s) completed: 18%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0500  acc: 0.5935  lr: 0.0000 
ep/it:270- 339 niter:103750  595m 23s (- 2701m 30s) completed: 18%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0513  acc: 0.5931  lr: 0.0000 
Validation time:
Validation loss:1.580, accuracy:0.567
ep/it:271-   6 niter:103800  595m 43s (- 2701m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0510  acc: 0.5884  lr: 0.0000 
ep/it:271-  56 niter:103850  596m 0s (- 2701m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0504  acc: 0.6038  lr: 0.0000 
ep/it:271- 106 niter:103900  596m 16s (- 2700m 46s) completed: 18%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0505  acc: 0.5981  lr: 0.0000 
ep/it:271- 156 niter:103950  596m 33s (- 2700m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0518  acc: 0.5967  lr: 0.0000 
ep/it:271- 206 niter:104000  596m 50s (- 2700m 6s) completed: 18%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0514  acc: 0.5988  lr: 0.0000 
ep/it:271- 256 niter:104050  597m 7s (- 2699m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0517  acc: 0.5935  lr: 0.0000 
ep/it:271- 306 niter:104100  597m 23s (- 2699m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0508  acc: 0.5981  lr: 0.0000 
ep/it:271- 356 niter:104150  597m 40s (- 2699m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0510  acc: 0.5935  lr: 0.0000 
Validation time:
Validation loss:1.586, accuracy:0.567
ep/it:272-  23 niter:104200  598m 1s (- 2699m 7s) completed: 18%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0512  acc: 0.5985  lr: 0.0000 
ep/it:272-  73 niter:104250  598m 17s (- 2698m 45s) completed: 18%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0503  acc: 0.5924  lr: 0.0000 
ep/it:272- 123 niter:104300  598m 33s (- 2698m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0515  acc: 0.5892  lr: 0.0000 
ep/it:272- 173 niter:104350  598m 50s (- 2698m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0511  acc: 0.5932  lr: 0.0000 
ep/it:272- 223 niter:104400  599m 7s (- 2697m 47s) completed: 18%) loss_emb: 0.0000  loss: 1.4036  loss_TTT: 0.0500  acc: 0.5959  lr: 0.0000 
ep/it:272- 273 niter:104450  599m 25s (- 2697m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0500  acc: 0.5973  lr: 0.0000 
ep/it:272- 323 niter:104500  599m 41s (- 2697m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0502  acc: 0.6011  lr: 0.0000 
ep/it:272- 373 niter:104550  599m 58s (- 2696m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.4329  loss_TTT: 0.0511  acc: 0.5882  lr: 0.0000 
Validation time:
Validation loss:1.585, accuracy:0.566
ep/it:273-  40 niter:104600  600m 19s (- 2696m 50s) completed: 18%) loss_emb: 0.0000  loss: 1.4298  loss_TTT: 0.0488  acc: 0.5895  lr: 0.0000 
ep/it:273-  90 niter:104650  600m 35s (- 2696m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0502  acc: 0.5998  lr: 0.0000 
ep/it:273- 140 niter:104700  600m 52s (- 2696m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.4175  loss_TTT: 0.0518  acc: 0.5922  lr: 0.0000 
ep/it:273- 190 niter:104750  601m 9s (- 2695m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0488  acc: 0.5924  lr: 0.0000 
ep/it:273- 240 niter:104800  601m 25s (- 2695m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0505  acc: 0.5988  lr: 0.0000 
ep/it:273- 290 niter:104850  601m 42s (- 2695m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.4288  loss_TTT: 0.0505  acc: 0.5902  lr: 0.0000 
ep/it:273- 340 niter:104900  601m 59s (- 2694m 53s) completed: 18%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0526  acc: 0.5916  lr: 0.0000 
Validation time:
Validation loss:1.604, accuracy:0.561
ep/it:274-   7 niter:104950  602m 19s (- 2694m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0504  acc: 0.5918  lr: 0.0000 
ep/it:274-  57 niter:105000  602m 36s (- 2694m 32s) completed: 18%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0487  acc: 0.5997  lr: 0.0000 
ep/it:274- 107 niter:105050  602m 53s (- 2694m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.4305  loss_TTT: 0.0520  acc: 0.5894  lr: 0.0000 
ep/it:274- 157 niter:105100  603m 9s (- 2693m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0511  acc: 0.5928  lr: 0.0000 
ep/it:274- 207 niter:105150  603m 26s (- 2693m 33s) completed: 18%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0518  acc: 0.5948  lr: 0.0000 
ep/it:274- 257 niter:105200  603m 43s (- 2693m 12s) completed: 18%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0511  acc: 0.6013  lr: 0.0000 
ep/it:274- 307 niter:105250  603m 59s (- 2692m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.4223  loss_TTT: 0.0505  acc: 0.5904  lr: 0.0000 
ep/it:274- 357 niter:105300  604m 16s (- 2692m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0504  acc: 0.5939  lr: 0.0000 
Validation time:
Validation loss:1.596, accuracy:0.564
ep/it:275-  24 niter:105350  604m 36s (- 2692m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0510  acc: 0.5932  lr: 0.0000 
ep/it:275-  74 niter:105400  604m 53s (- 2692m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0501  acc: 0.5933  lr: 0.0000 
ep/it:275- 124 niter:105450  605m 9s (- 2691m 49s) completed: 18%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0530  acc: 0.5943  lr: 0.0000 
ep/it:275- 174 niter:105500  605m 26s (- 2691m 30s) completed: 18%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0520  acc: 0.5908  lr: 0.0000 
ep/it:275- 224 niter:105550  605m 43s (- 2691m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0513  acc: 0.6008  lr: 0.0000 
ep/it:275- 274 niter:105600  606m 1s (- 2690m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0507  acc: 0.5940  lr: 0.0000 
ep/it:275- 324 niter:105650  606m 17s (- 2690m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0531  acc: 0.5919  lr: 0.0000 
ep/it:275- 374 niter:105700  606m 33s (- 2690m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0503  acc: 0.5882  lr: 0.0000 
Validation time:
Validation loss:1.620, accuracy:0.558
ep/it:276-  41 niter:105750  606m 54s (- 2690m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0503  acc: 0.5951  lr: 0.0000 
ep/it:276-  91 niter:105800  607m 11s (- 2689m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0495  acc: 0.5955  lr: 0.0000 
ep/it:276- 141 niter:105850  607m 27s (- 2689m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0490  acc: 0.5906  lr: 0.0000 
ep/it:276- 191 niter:105900  607m 44s (- 2689m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0518  acc: 0.6011  lr: 0.0000 
ep/it:276- 241 niter:105950  608m 1s (- 2688m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0499  acc: 0.5995  lr: 0.0000 
ep/it:276- 291 niter:106000  608m 18s (- 2688m 34s) completed: 18%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0538  acc: 0.6006  lr: 0.0000 
ep/it:276- 341 niter:106050  608m 34s (- 2688m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0499  acc: 0.5970  lr: 0.0000 
Validation time:
Validation loss:1.564, accuracy:0.571
ep/it:277-   8 niter:106100  608m 55s (- 2688m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0490  acc: 0.5982  lr: 0.0000 
ep/it:277-  58 niter:106150  609m 11s (- 2687m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0509  acc: 0.5971  lr: 0.0000 
ep/it:277- 108 niter:106200  609m 28s (- 2687m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0508  acc: 0.5914  lr: 0.0000 
ep/it:277- 158 niter:106250  609m 44s (- 2687m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0498  acc: 0.5958  lr: 0.0000 
ep/it:277- 208 niter:106300  610m 1s (- 2686m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0517  acc: 0.5918  lr: 0.0000 
ep/it:277- 258 niter:106350  610m 18s (- 2686m 34s) completed: 18%) loss_emb: 0.0000  loss: 1.4247  loss_TTT: 0.0501  acc: 0.5919  lr: 0.0000 
ep/it:277- 308 niter:106400  610m 36s (- 2686m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0510  acc: 0.5992  lr: 0.0000 
ep/it:277- 358 niter:106450  610m 52s (- 2685m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0495  acc: 0.5993  lr: 0.0000 
Validation time:
Validation loss:1.664, accuracy:0.547
ep/it:278-  25 niter:106500  611m 12s (- 2685m 53s) completed: 18%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0497  acc: 0.6024  lr: 0.0000 
ep/it:278-  75 niter:106550  611m 29s (- 2685m 34s) completed: 18%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0488  acc: 0.5944  lr: 0.0000 
ep/it:278- 125 niter:106600  611m 45s (- 2685m 12s) completed: 18%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0500  acc: 0.5909  lr: 0.0000 
ep/it:278- 175 niter:106650  612m 2s (- 2684m 53s) completed: 18%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0503  acc: 0.6017  lr: 0.0000 
ep/it:278- 225 niter:106700  612m 19s (- 2684m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0512  acc: 0.6000  lr: 0.0000 
ep/it:278- 275 niter:106750  612m 36s (- 2684m 15s) completed: 18%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0535  acc: 0.5926  lr: 0.0000 
ep/it:278- 325 niter:106800  612m 52s (- 2683m 53s) completed: 18%) loss_emb: 0.0000  loss: 1.4343  loss_TTT: 0.0512  acc: 0.5883  lr: 0.0000 
ep/it:278- 375 niter:106850  613m 8s (- 2683m 33s) completed: 18%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0502  acc: 0.5929  lr: 0.0000 
Validation time:
Validation loss:1.630, accuracy:0.557
ep/it:279-  42 niter:106900  613m 29s (- 2683m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0486  acc: 0.5926  lr: 0.0000 
ep/it:279-  92 niter:106950  613m 45s (- 2683m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0517  acc: 0.5902  lr: 0.0000 
ep/it:279- 142 niter:107000  614m 2s (- 2682m 50s) completed: 18%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0497  acc: 0.6004  lr: 0.0000 
ep/it:279- 192 niter:107050  614m 18s (- 2682m 30s) completed: 18%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0519  acc: 0.5980  lr: 0.0000 
ep/it:279- 242 niter:107100  614m 34s (- 2682m 7s) completed: 18%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0513  acc: 0.5958  lr: 0.0000 
ep/it:279- 292 niter:107150  614m 51s (- 2681m 49s) completed: 18%) loss_emb: 0.0000  loss: 1.4431  loss_TTT: 0.0522  acc: 0.5858  lr: 0.0000 
ep/it:279- 342 niter:107200  615m 8s (- 2681m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0514  acc: 0.6019  lr: 0.0000 
Validation time:
Validation loss:1.534, accuracy:0.578

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.60it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.81it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.06it/s]
100%|██████████| 47/47 [00:06<00:00,  7.06it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.541597413830459 avg: 2.541597413830459
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.53553145006299 avg: 2.5385644319467247
--> 	 Eva. Repeat 22 :, FID. 0.0911, Diversity Real. 9.3950, Diversity. 9.7009, R_precision_real. [0.50390625 0.70410156 0.78320312], R_precision. [0.49804688 0.68261719 0.78125   ], matching_score_real. 2.8969, matching_score_pred. 2.9942, skate_ratio. 0.0473, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7080 (traj_fail_50cm (Traj err)): 0.4072 (kps_fail_20cm): 0.5204 (kps_fail_50cm (Loc. err)): 0.2572 (kps_mean_err(m) (Avg. err)): 0.4567 
ep/it:280-   9 niter:107250  615m 35s (- 2681m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0495  acc: 0.6017  lr: 0.0000 
ep/it:280-  59 niter:107300  615m 53s (- 2681m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0512  acc: 0.5909  lr: 0.0000 
ep/it:280- 109 niter:107350  616m 10s (- 2681m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0514  acc: 0.5952  lr: 0.0000 
ep/it:280- 159 niter:107400  616m 26s (- 2680m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.4140  loss_TTT: 0.0507  acc: 0.5935  lr: 0.0000 
ep/it:280- 209 niter:107450  616m 42s (- 2680m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0516  acc: 0.5973  lr: 0.0000 
ep/it:280- 259 niter:107500  616m 58s (- 2680m 15s) completed: 18%) loss_emb: 0.0000  loss: 1.4517  loss_TTT: 0.0509  acc: 0.5839  lr: 0.0000 
ep/it:280- 309 niter:107550  617m 15s (- 2679m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0505  acc: 0.5967  lr: 0.0000 
ep/it:280- 359 niter:107600  617m 31s (- 2679m 34s) completed: 18%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0504  acc: 0.5924  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.563
ep/it:281-  26 niter:107650  617m 51s (- 2679m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0502  acc: 0.5979  lr: 0.0000 
ep/it:281-  76 niter:107700  618m 8s (- 2679m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0525  acc: 0.6018  lr: 0.0000 
ep/it:281- 126 niter:107750  618m 24s (- 2678m 47s) completed: 18%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0503  acc: 0.5929  lr: 0.0000 
ep/it:281- 176 niter:107800  618m 40s (- 2678m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0489  acc: 0.6006  lr: 0.0000 
ep/it:281- 226 niter:107850  618m 57s (- 2678m 7s) completed: 18%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0514  acc: 0.5927  lr: 0.0000 
ep/it:281- 276 niter:107900  619m 13s (- 2677m 45s) completed: 18%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0509  acc: 0.6013  lr: 0.0000 
ep/it:281- 326 niter:107950  619m 29s (- 2677m 24s) completed: 18%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0503  acc: 0.5973  lr: 0.0000 
ep/it:281- 376 niter:108000  619m 46s (- 2677m 4s) completed: 18%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0512  acc: 0.6008  lr: 0.0000 
Validation time:
Validation loss:1.553, accuracy:0.574
ep/it:282-  43 niter:108050  620m 7s (- 2677m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0539  acc: 0.5957  lr: 0.0000 
ep/it:282-  93 niter:108100  620m 23s (- 2676m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0496  acc: 0.5927  lr: 0.0000 
ep/it:282- 143 niter:108150  620m 39s (- 2676m 19s) completed: 18%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0505  acc: 0.5971  lr: 0.0000 
ep/it:282- 193 niter:108200  620m 55s (- 2675m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0504  acc: 0.5946  lr: 0.0000 
ep/it:282- 243 niter:108250  621m 12s (- 2675m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0500  acc: 0.5950  lr: 0.0000 
ep/it:282- 293 niter:108300  621m 29s (- 2675m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0493  acc: 0.6012  lr: 0.0000 
ep/it:282- 343 niter:108350  621m 45s (- 2674m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0500  acc: 0.5971  lr: 0.0000 
Validation time:
Validation loss:1.617, accuracy:0.559
ep/it:283-  10 niter:108400  622m 6s (- 2674m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0512  acc: 0.5911  lr: 0.0000 
ep/it:283-  60 niter:108450  622m 22s (- 2674m 35s) completed: 18%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0503  acc: 0.5996  lr: 0.0000 
ep/it:283- 110 niter:108500  622m 39s (- 2674m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0518  acc: 0.5981  lr: 0.0000 
ep/it:283- 160 niter:108550  622m 56s (- 2673m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0494  acc: 0.6030  lr: 0.0000 
ep/it:283- 210 niter:108600  623m 12s (- 2673m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0499  acc: 0.5952  lr: 0.0000 
ep/it:283- 260 niter:108650  623m 29s (- 2673m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0513  acc: 0.5980  lr: 0.0000 
ep/it:283- 310 niter:108700  623m 46s (- 2672m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0516  acc: 0.6024  lr: 0.0000 
ep/it:283- 360 niter:108750  624m 2s (- 2672m 38s) completed: 18%) loss_emb: 0.0000  loss: 1.3936  loss_TTT: 0.0503  acc: 0.5995  lr: 0.0000 
Validation time:
Validation loss:1.581, accuracy:0.568
ep/it:284-  27 niter:108800  624m 22s (- 2672m 32s) completed: 18%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0502  acc: 0.5917  lr: 0.0000 
ep/it:284-  77 niter:108850  624m 39s (- 2672m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.4190  loss_TTT: 0.0527  acc: 0.5918  lr: 0.0000 
ep/it:284- 127 niter:108900  624m 56s (- 2671m 54s) completed: 18%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0505  acc: 0.5964  lr: 0.0000 
ep/it:284- 177 niter:108950  625m 12s (- 2671m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0504  acc: 0.5979  lr: 0.0000 
ep/it:284- 227 niter:109000  625m 28s (- 2671m 12s) completed: 18%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0512  acc: 0.6002  lr: 0.0000 
ep/it:284- 277 niter:109050  625m 45s (- 2670m 53s) completed: 18%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0506  acc: 0.5975  lr: 0.0000 
ep/it:284- 327 niter:109100  626m 1s (- 2670m 32s) completed: 18%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0502  acc: 0.5938  lr: 0.0000 
ep/it:284- 377 niter:109150  626m 18s (- 2670m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0501  acc: 0.5931  lr: 0.0000 
Validation time:
Validation loss:1.621, accuracy:0.558
ep/it:285-  44 niter:109200  626m 38s (- 2670m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0500  acc: 0.6010  lr: 0.0000 
ep/it:285-  94 niter:109250  626m 54s (- 2669m 46s) completed: 19%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0495  acc: 0.5948  lr: 0.0000 
ep/it:285- 144 niter:109300  627m 11s (- 2669m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.3821  loss_TTT: 0.0508  acc: 0.6005  lr: 0.0000 
ep/it:285- 194 niter:109350  627m 27s (- 2669m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0514  acc: 0.5909  lr: 0.0000 
ep/it:285- 244 niter:109400  627m 44s (- 2668m 46s) completed: 19%) loss_emb: 0.0000  loss: 1.4209  loss_TTT: 0.0510  acc: 0.5921  lr: 0.0000 
ep/it:285- 294 niter:109450  628m 1s (- 2668m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0501  acc: 0.5972  lr: 0.0000 
ep/it:285- 344 niter:109500  628m 17s (- 2668m 5s) completed: 19%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0525  acc: 0.5928  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.566
ep/it:286-  11 niter:109550  628m 38s (- 2668m 2s) completed: 19%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0513  acc: 0.5967  lr: 0.0000 
ep/it:286-  61 niter:109600  628m 54s (- 2667m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0496  acc: 0.5900  lr: 0.0000 
ep/it:286- 111 niter:109650  629m 11s (- 2667m 22s) completed: 19%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0498  acc: 0.6016  lr: 0.0000 
ep/it:286- 161 niter:109700  629m 27s (- 2667m 1s) completed: 19%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0506  acc: 0.5934  lr: 0.0000 
ep/it:286- 211 niter:109750  629m 44s (- 2666m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0514  acc: 0.5962  lr: 0.0000 
ep/it:286- 261 niter:109800  630m 0s (- 2666m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0500  acc: 0.5958  lr: 0.0000 
ep/it:286- 311 niter:109850  630m 17s (- 2666m 0s) completed: 19%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0497  acc: 0.5936  lr: 0.0000 
ep/it:286- 361 niter:109900  630m 32s (- 2665m 37s) completed: 19%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0505  acc: 0.5977  lr: 0.0000 
Validation time:
Validation loss:1.617, accuracy:0.559
ep/it:287-  28 niter:109950  630m 52s (- 2665m 32s) completed: 19%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0510  acc: 0.6025  lr: 0.0000 
ep/it:287-  78 niter:110000  631m 9s (- 2665m 14s) completed: 19%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0481  acc: 0.5927  lr: 0.0000 
ep/it:287- 128 niter:110050  631m 27s (- 2664m 57s) completed: 19%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0510  acc: 0.6013  lr: 0.0000 
ep/it:287- 178 niter:110100  631m 43s (- 2664m 36s) completed: 19%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0515  acc: 0.5967  lr: 0.0000 
ep/it:287- 228 niter:110150  632m 0s (- 2664m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0514  acc: 0.5900  lr: 0.0000 
ep/it:287- 278 niter:110200  632m 16s (- 2663m 57s) completed: 19%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0508  acc: 0.5988  lr: 0.0000 
ep/it:287- 328 niter:110250  632m 33s (- 2663m 36s) completed: 19%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0502  acc: 0.5937  lr: 0.0000 
ep/it:287- 378 niter:110300  632m 50s (- 2663m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0489  acc: 0.6026  lr: 0.0000 
Validation time:
Validation loss:1.611, accuracy:0.560
ep/it:288-  45 niter:110350  633m 10s (- 2663m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0515  acc: 0.6028  lr: 0.0000 
ep/it:288-  95 niter:110400  633m 27s (- 2662m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0505  acc: 0.5923  lr: 0.0000 
ep/it:288- 145 niter:110450  633m 43s (- 2662m 34s) completed: 19%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0510  acc: 0.5972  lr: 0.0000 
ep/it:288- 195 niter:110500  634m 0s (- 2662m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0499  acc: 0.5958  lr: 0.0000 
ep/it:288- 245 niter:110550  634m 16s (- 2661m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0507  acc: 0.5966  lr: 0.0000 
ep/it:288- 295 niter:110600  634m 33s (- 2661m 35s) completed: 19%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0526  acc: 0.5927  lr: 0.0000 
ep/it:288- 345 niter:110650  634m 49s (- 2661m 14s) completed: 19%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0499  acc: 0.5974  lr: 0.0000 
Validation time:
Validation loss:1.567, accuracy:0.572
ep/it:289-  12 niter:110700  635m 10s (- 2661m 9s) completed: 19%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0492  acc: 0.5945  lr: 0.0000 
ep/it:289-  62 niter:110750  635m 26s (- 2660m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0503  acc: 0.5940  lr: 0.0000 
ep/it:289- 112 niter:110800  635m 42s (- 2660m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0504  acc: 0.5887  lr: 0.0000 
ep/it:289- 162 niter:110850  635m 58s (- 2660m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.3913  loss_TTT: 0.0491  acc: 0.5989  lr: 0.0000 
ep/it:289- 212 niter:110900  636m 15s (- 2659m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0496  acc: 0.6024  lr: 0.0000 
ep/it:289- 262 niter:110950  636m 32s (- 2659m 27s) completed: 19%) loss_emb: 0.0000  loss: 1.4397  loss_TTT: 0.0505  acc: 0.5880  lr: 0.0000 
ep/it:289- 312 niter:111000  636m 48s (- 2659m 5s) completed: 19%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0487  acc: 0.5968  lr: 0.0000 
ep/it:289- 362 niter:111050  637m 5s (- 2658m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0514  acc: 0.5968  lr: 0.0000 
Validation time:
Validation loss:1.639, accuracy:0.554

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.37it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.60it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.93it/s]
100%|██████████| 47/47 [00:06<00:00,  6.89it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5667447159066796 avg: 2.5667447159066796
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5519339591264725 avg: 2.559339337516576
--> 	 Eva. Repeat 22 :, FID. 0.1224, Diversity Real. 9.7038, Diversity. 9.4478, R_precision_real. [0.51855469 0.70898438 0.82324219], R_precision. [0.52734375 0.70605469 0.80664062], matching_score_real. 2.9027, matching_score_pred. 2.9286, skate_ratio. 0.0464, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7061 (traj_fail_50cm (Traj err)): 0.4434 (kps_fail_20cm): 0.5257 (kps_fail_50cm (Loc. err)): 0.2773 (kps_mean_err(m) (Avg. err)): 0.4625 
ep/it:290-  29 niter:111100  637m 35s (- 2659m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.4156  loss_TTT: 0.0495  acc: 0.5921  lr: 0.0000 
ep/it:290-  79 niter:111150  637m 52s (- 2659m 7s) completed: 19%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0501  acc: 0.5928  lr: 0.0000 
ep/it:290- 129 niter:111200  638m 9s (- 2658m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0504  acc: 0.5927  lr: 0.0000 
ep/it:290- 179 niter:111250  638m 26s (- 2658m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0500  acc: 0.5995  lr: 0.0000 
ep/it:290- 229 niter:111300  638m 43s (- 2658m 10s) completed: 19%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0518  acc: 0.5988  lr: 0.0000 
ep/it:290- 279 niter:111350  638m 59s (- 2657m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0498  acc: 0.5985  lr: 0.0000 
ep/it:290- 329 niter:111400  639m 16s (- 2657m 30s) completed: 19%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0494  acc: 0.5922  lr: 0.0000 
ep/it:290- 379 niter:111450  639m 32s (- 2657m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0509  acc: 0.5995  lr: 0.0000 
Validation time:
Validation loss:1.626, accuracy:0.557
ep/it:291-  46 niter:111500  639m 53s (- 2657m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0505  acc: 0.5946  lr: 0.0000 
ep/it:291-  96 niter:111550  640m 10s (- 2656m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0506  acc: 0.5978  lr: 0.0000 
ep/it:291- 146 niter:111600  640m 26s (- 2656m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.4216  loss_TTT: 0.0503  acc: 0.5901  lr: 0.0000 
ep/it:291- 196 niter:111650  640m 43s (- 2656m 10s) completed: 19%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0491  acc: 0.5945  lr: 0.0000 
ep/it:291- 246 niter:111700  641m 0s (- 2655m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0510  acc: 0.5951  lr: 0.0000 
ep/it:291- 296 niter:111750  641m 16s (- 2655m 30s) completed: 19%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0498  acc: 0.5965  lr: 0.0000 
ep/it:291- 346 niter:111800  641m 33s (- 2655m 10s) completed: 19%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0502  acc: 0.5990  lr: 0.0000 
Validation time:
Validation loss:1.630, accuracy:0.555
ep/it:292-  13 niter:111850  641m 54s (- 2655m 7s) completed: 19%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0521  acc: 0.5947  lr: 0.0000 
ep/it:292-  63 niter:111900  642m 11s (- 2654m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0499  acc: 0.5965  lr: 0.0000 
ep/it:292- 113 niter:111950  642m 27s (- 2654m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0509  acc: 0.5980  lr: 0.0000 
ep/it:292- 163 niter:112000  642m 44s (- 2654m 9s) completed: 19%) loss_emb: 0.0000  loss: 1.4354  loss_TTT: 0.0516  acc: 0.5887  lr: 0.0000 
ep/it:292- 213 niter:112050  643m 1s (- 2653m 51s) completed: 19%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0507  acc: 0.5983  lr: 0.0000 
ep/it:292- 263 niter:112100  643m 18s (- 2653m 32s) completed: 19%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0503  acc: 0.5899  lr: 0.0000 
ep/it:292- 313 niter:112150  643m 34s (- 2653m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0512  acc: 0.5939  lr: 0.0000 
ep/it:292- 363 niter:112200  643m 51s (- 2652m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0520  acc: 0.5932  lr: 0.0000 
Validation time:
Validation loss:1.612, accuracy:0.560
ep/it:293-  30 niter:112250  644m 12s (- 2652m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0497  acc: 0.5919  lr: 0.0000 
ep/it:293-  80 niter:112300  644m 28s (- 2652m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0519  acc: 0.5931  lr: 0.0000 
ep/it:293- 130 niter:112350  644m 44s (- 2652m 7s) completed: 19%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0492  acc: 0.6003  lr: 0.0000 
ep/it:293- 180 niter:112400  645m 1s (- 2651m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0498  acc: 0.5968  lr: 0.0000 
ep/it:293- 230 niter:112450  645m 17s (- 2651m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0514  acc: 0.5922  lr: 0.0000 
ep/it:293- 280 niter:112500  645m 33s (- 2651m 7s) completed: 19%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0488  acc: 0.5929  lr: 0.0000 
ep/it:293- 330 niter:112550  645m 50s (- 2650m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0490  acc: 0.6005  lr: 0.0000 
ep/it:293- 380 niter:112600  646m 7s (- 2650m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0524  acc: 0.5930  lr: 0.0000 
Validation time:
Validation loss:1.595, accuracy:0.564
ep/it:294-  47 niter:112650  646m 27s (- 2650m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0510  acc: 0.5964  lr: 0.0000 
ep/it:294-  97 niter:112700  646m 43s (- 2650m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0503  acc: 0.5948  lr: 0.0000 
ep/it:294- 147 niter:112750  647m 0s (- 2649m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0509  acc: 0.5973  lr: 0.0000 
ep/it:294- 197 niter:112800  647m 16s (- 2649m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0499  acc: 0.5974  lr: 0.0000 
ep/it:294- 247 niter:112850  647m 33s (- 2649m 1s) completed: 19%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0501  acc: 0.5908  lr: 0.0000 
ep/it:294- 297 niter:112900  647m 49s (- 2648m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0507  acc: 0.5982  lr: 0.0000 
ep/it:294- 347 niter:112950  648m 6s (- 2648m 22s) completed: 19%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0534  acc: 0.5967  lr: 0.0000 
Validation time:
Validation loss:1.607, accuracy:0.561
ep/it:295-  14 niter:113000  648m 26s (- 2648m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0496  acc: 0.5972  lr: 0.0000 
ep/it:295-  64 niter:113050  648m 43s (- 2647m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0508  acc: 0.6004  lr: 0.0000 
ep/it:295- 114 niter:113100  648m 59s (- 2647m 37s) completed: 19%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0499  acc: 0.6011  lr: 0.0000 
ep/it:295- 164 niter:113150  649m 15s (- 2647m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0510  acc: 0.5929  lr: 0.0000 
ep/it:295- 214 niter:113200  649m 32s (- 2646m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0503  acc: 0.6053  lr: 0.0000 
ep/it:295- 264 niter:113250  649m 48s (- 2646m 35s) completed: 19%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0493  acc: 0.5940  lr: 0.0000 
ep/it:295- 314 niter:113300  650m 5s (- 2646m 14s) completed: 19%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0496  acc: 0.5986  lr: 0.0000 
ep/it:295- 364 niter:113350  650m 21s (- 2645m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0522  acc: 0.5958  lr: 0.0000 
Validation time:
Validation loss:1.625, accuracy:0.558
ep/it:296-  31 niter:113400  650m 41s (- 2645m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0512  acc: 0.6007  lr: 0.0000 
ep/it:296-  81 niter:113450  650m 57s (- 2645m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0524  acc: 0.5932  lr: 0.0000 
ep/it:296- 131 niter:113500  651m 13s (- 2645m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0523  acc: 0.5902  lr: 0.0000 
ep/it:296- 181 niter:113550  651m 29s (- 2644m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0503  acc: 0.5981  lr: 0.0000 
ep/it:296- 231 niter:113600  651m 46s (- 2644m 25s) completed: 19%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0485  acc: 0.6054  lr: 0.0000 
ep/it:296- 281 niter:113650  652m 3s (- 2644m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0497  acc: 0.5992  lr: 0.0000 
ep/it:296- 331 niter:113700  652m 19s (- 2643m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0499  acc: 0.6006  lr: 0.0000 
ep/it:296- 381 niter:113750  652m 36s (- 2643m 25s) completed: 19%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0501  acc: 0.5988  lr: 0.0000 
Validation time:
Validation loss:1.590, accuracy:0.564
ep/it:297-  48 niter:113800  652m 56s (- 2643m 20s) completed: 19%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0511  acc: 0.5911  lr: 0.0000 
ep/it:297-  98 niter:113850  653m 13s (- 2642m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.4023  loss_TTT: 0.0496  acc: 0.5963  lr: 0.0000 
ep/it:297- 148 niter:113900  653m 30s (- 2642m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0489  acc: 0.6007  lr: 0.0000 
ep/it:297- 198 niter:113950  653m 47s (- 2642m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0512  acc: 0.5950  lr: 0.0000 
ep/it:297- 248 niter:114000  654m 4s (- 2642m 5s) completed: 19%) loss_emb: 0.0000  loss: 1.4041  loss_TTT: 0.0504  acc: 0.5952  lr: 0.0000 
ep/it:297- 298 niter:114050  654m 21s (- 2641m 47s) completed: 19%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0511  acc: 0.5998  lr: 0.0000 
ep/it:297- 348 niter:114100  654m 37s (- 2641m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0506  acc: 0.5971  lr: 0.0000 
Validation time:
Validation loss:1.590, accuracy:0.566
ep/it:298-  15 niter:114150  654m 58s (- 2641m 25s) completed: 19%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0517  acc: 0.5987  lr: 0.0000 
ep/it:298-  65 niter:114200  655m 15s (- 2641m 5s) completed: 19%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0527  acc: 0.5937  lr: 0.0000 
ep/it:298- 115 niter:114250  655m 31s (- 2640m 46s) completed: 19%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0493  acc: 0.5996  lr: 0.0000 
ep/it:298- 165 niter:114300  655m 48s (- 2640m 25s) completed: 19%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0505  acc: 0.6035  lr: 0.0000 
ep/it:298- 215 niter:114350  656m 4s (- 2640m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.4326  loss_TTT: 0.0500  acc: 0.5885  lr: 0.0000 
ep/it:298- 265 niter:114400  656m 21s (- 2639m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0511  acc: 0.5992  lr: 0.0000 
ep/it:298- 315 niter:114450  656m 37s (- 2639m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0480  acc: 0.5938  lr: 0.0000 
ep/it:298- 365 niter:114500  656m 53s (- 2639m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0494  acc: 0.5965  lr: 0.0000 
Validation time:
Validation loss:1.624, accuracy:0.557
ep/it:299-  32 niter:114550  657m 14s (- 2638m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0517  acc: 0.5976  lr: 0.0000 
ep/it:299-  82 niter:114600  657m 30s (- 2638m 38s) completed: 19%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0508  acc: 0.5934  lr: 0.0000 
ep/it:299- 132 niter:114650  657m 47s (- 2638m 20s) completed: 19%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0506  acc: 0.5948  lr: 0.0000 
ep/it:299- 182 niter:114700  658m 4s (- 2638m 2s) completed: 19%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0515  acc: 0.5971  lr: 0.0000 
ep/it:299- 232 niter:114750  658m 21s (- 2637m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0514  acc: 0.6047  lr: 0.0000 
ep/it:299- 282 niter:114800  658m 38s (- 2637m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0510  acc: 0.5944  lr: 0.0000 
ep/it:299- 332 niter:114850  658m 54s (- 2637m 5s) completed: 19%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0511  acc: 0.5982  lr: 0.0000 
ep/it:299- 382 niter:114900  659m 11s (- 2636m 44s) completed: 20%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0507  acc: 0.5943  lr: 0.0000 
Validation time:
Validation loss:1.581, accuracy:0.570

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.57it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.64it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.11it/s]
100%|██████████| 47/47 [00:06<00:00,  7.09it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5481872828677297 avg: 2.5481872828677297
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5490760221146047 avg: 2.548631652491167
--> 	 Eva. Repeat 22 :, FID. 0.1007, Diversity Real. 9.4503, Diversity. 9.5684, R_precision_real. [0.50976562 0.70117188 0.78125   ], R_precision. [0.49511719 0.68847656 0.78222656], matching_score_real. 2.9377, matching_score_pred. 3.0041, skate_ratio. 0.0496, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7334 (traj_fail_50cm (Traj err)): 0.4404 (kps_fail_20cm): 0.5439 (kps_fail_50cm (Loc. err)): 0.2876 (kps_mean_err(m) (Avg. err)): 0.5130 
ep/it:300-  49 niter:114950  659m 39s (- 2637m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.4097  loss_TTT: 0.0514  acc: 0.5949  lr: 0.0000 
ep/it:300-  99 niter:115000  659m 56s (- 2636m 53s) completed: 20%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0504  acc: 0.6002  lr: 0.0000 
ep/it:300- 149 niter:115050  660m 13s (- 2636m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0516  acc: 0.5944  lr: 0.0000 
ep/it:300- 199 niter:115100  660m 30s (- 2636m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0488  acc: 0.5973  lr: 0.0000 
ep/it:300- 249 niter:115150  660m 47s (- 2635m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0524  acc: 0.5948  lr: 0.0000 
ep/it:300- 299 niter:115200  661m 4s (- 2635m 39s) completed: 20%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0499  acc: 0.5893  lr: 0.0000 
ep/it:300- 349 niter:115250  661m 20s (- 2635m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0498  acc: 0.5971  lr: 0.0000 
Validation time:
Validation loss:1.606, accuracy:0.562
ep/it:301-  16 niter:115300  661m 41s (- 2635m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0505  acc: 0.5991  lr: 0.0000 
ep/it:301-  66 niter:115350  661m 57s (- 2634m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0497  acc: 0.5900  lr: 0.0000 
ep/it:301- 116 niter:115400  662m 14s (- 2634m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0497  acc: 0.5933  lr: 0.0000 
ep/it:301- 166 niter:115450  662m 30s (- 2634m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0513  acc: 0.5889  lr: 0.0000 
ep/it:301- 216 niter:115500  662m 47s (- 2633m 57s) completed: 20%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0521  acc: 0.5984  lr: 0.0000 
ep/it:301- 266 niter:115550  663m 5s (- 2633m 41s) completed: 20%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0504  acc: 0.5902  lr: 0.0000 
ep/it:301- 316 niter:115600  663m 22s (- 2633m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0504  acc: 0.5963  lr: 0.0000 
ep/it:301- 366 niter:115650  663m 40s (- 2633m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0503  acc: 0.6073  lr: 0.0000 
Validation time:
Validation loss:1.574, accuracy:0.572
ep/it:302-  33 niter:115700  664m 0s (- 2633m 4s) completed: 20%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0537  acc: 0.5919  lr: 0.0000 
ep/it:302-  83 niter:115750  664m 17s (- 2632m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0524  acc: 0.5965  lr: 0.0000 
ep/it:302- 133 niter:115800  664m 34s (- 2632m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0483  acc: 0.5936  lr: 0.0000 
ep/it:302- 183 niter:115850  664m 51s (- 2632m 8s) completed: 20%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0533  acc: 0.5940  lr: 0.0000 
ep/it:302- 233 niter:115900  665m 8s (- 2631m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0532  acc: 0.5998  lr: 0.0000 
ep/it:302- 283 niter:115950  665m 25s (- 2631m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0517  acc: 0.5903  lr: 0.0000 
ep/it:302- 333 niter:116000  665m 41s (- 2631m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0479  acc: 0.5953  lr: 0.0000 
Validation time:
Validation loss:1.592, accuracy:0.566
ep/it:303-   0 niter:116050  666m 2s (- 2631m 10s) completed: 20%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0486  acc: 0.5887  lr: 0.0000 
ep/it:303-  50 niter:116100  666m 19s (- 2630m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0520  acc: 0.5950  lr: 0.0000 
ep/it:303- 100 niter:116150  666m 36s (- 2630m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0497  acc: 0.6050  lr: 0.0000 
ep/it:303- 150 niter:116200  666m 53s (- 2630m 14s) completed: 20%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0502  acc: 0.5961  lr: 0.0000 
ep/it:303- 200 niter:116250  667m 10s (- 2629m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0510  acc: 0.6023  lr: 0.0000 
ep/it:303- 250 niter:116300  667m 26s (- 2629m 37s) completed: 20%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0493  acc: 0.5929  lr: 0.0000 
ep/it:303- 300 niter:116350  667m 43s (- 2629m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.4294  loss_TTT: 0.0521  acc: 0.5907  lr: 0.0000 
ep/it:303- 350 niter:116400  668m 0s (- 2628m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0496  acc: 0.5971  lr: 0.0000 
Validation time:
Validation loss:1.593, accuracy:0.565
ep/it:304-  17 niter:116450  668m 20s (- 2628m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.4110  loss_TTT: 0.0501  acc: 0.5942  lr: 0.0000 
ep/it:304-  67 niter:116500  668m 37s (- 2628m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0509  acc: 0.5980  lr: 0.0000 
ep/it:304- 117 niter:116550  668m 54s (- 2628m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.4151  loss_TTT: 0.0512  acc: 0.5935  lr: 0.0000 
ep/it:304- 167 niter:116600  669m 10s (- 2627m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0506  acc: 0.6013  lr: 0.0000 
ep/it:304- 217 niter:116650  669m 27s (- 2627m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0498  acc: 0.5994  lr: 0.0000 
ep/it:304- 267 niter:116700  669m 43s (- 2627m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0512  acc: 0.5908  lr: 0.0000 
ep/it:304- 317 niter:116750  670m 1s (- 2626m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0515  acc: 0.5937  lr: 0.0000 
ep/it:304- 367 niter:116800  670m 18s (- 2626m 41s) completed: 20%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0490  acc: 0.5990  lr: 0.0000 
Validation time:
Validation loss:1.653, accuracy:0.551
ep/it:305-  34 niter:116850  670m 38s (- 2626m 37s) completed: 20%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0508  acc: 0.5995  lr: 0.0000 
ep/it:305-  84 niter:116900  670m 55s (- 2626m 19s) completed: 20%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0494  acc: 0.5990  lr: 0.0000 
ep/it:305- 134 niter:116950  671m 11s (- 2625m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0523  acc: 0.5932  lr: 0.0000 
ep/it:305- 184 niter:117000  671m 29s (- 2625m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0513  acc: 0.5984  lr: 0.0000 
ep/it:305- 234 niter:117050  671m 46s (- 2625m 24s) completed: 20%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0508  acc: 0.5972  lr: 0.0000 
ep/it:305- 284 niter:117100  672m 4s (- 2625m 8s) completed: 20%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0514  acc: 0.5879  lr: 0.0000 
ep/it:305- 334 niter:117150  672m 21s (- 2624m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0494  acc: 0.5914  lr: 0.0000 
Validation time:
Validation loss:1.593, accuracy:0.565
ep/it:306-   1 niter:117200  672m 41s (- 2624m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0499  acc: 0.5920  lr: 0.0000 
ep/it:306-  51 niter:117250  672m 58s (- 2624m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.4356  loss_TTT: 0.0493  acc: 0.5876  lr: 0.0000 
ep/it:306- 101 niter:117300  673m 15s (- 2624m 10s) completed: 20%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0500  acc: 0.6025  lr: 0.0000 
ep/it:306- 151 niter:117350  673m 33s (- 2623m 53s) completed: 20%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0518  acc: 0.5969  lr: 0.0000 
ep/it:306- 201 niter:117400  673m 50s (- 2623m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0513  acc: 0.5941  lr: 0.0000 
ep/it:306- 251 niter:117450  674m 6s (- 2623m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0490  acc: 0.5916  lr: 0.0000 
ep/it:306- 301 niter:117500  674m 23s (- 2622m 57s) completed: 20%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0503  acc: 0.6010  lr: 0.0000 
ep/it:306- 351 niter:117550  674m 40s (- 2622m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.4342  loss_TTT: 0.0527  acc: 0.5876  lr: 0.0000 
Validation time:
Validation loss:1.610, accuracy:0.564
ep/it:307-  18 niter:117600  675m 0s (- 2622m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0498  acc: 0.5986  lr: 0.0000 
ep/it:307-  68 niter:117650  675m 18s (- 2622m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0503  acc: 0.5935  lr: 0.0000 
ep/it:307- 118 niter:117700  675m 34s (- 2621m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0499  acc: 0.5984  lr: 0.0000 
ep/it:307- 168 niter:117750  675m 51s (- 2621m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0491  acc: 0.5924  lr: 0.0000 
ep/it:307- 218 niter:117800  676m 8s (- 2621m 21s) completed: 20%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0501  acc: 0.5917  lr: 0.0000 
ep/it:307- 268 niter:117850  676m 25s (- 2621m 2s) completed: 20%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0507  acc: 0.6012  lr: 0.0000 
ep/it:307- 318 niter:117900  676m 41s (- 2620m 42s) completed: 20%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0491  acc: 0.5945  lr: 0.0000 
ep/it:307- 368 niter:117950  676m 58s (- 2620m 21s) completed: 20%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0499  acc: 0.5961  lr: 0.0000 
Validation time:
Validation loss:1.599, accuracy:0.562
ep/it:308-  35 niter:118000  677m 19s (- 2620m 18s) completed: 20%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0486  acc: 0.5953  lr: 0.0000 
ep/it:308-  85 niter:118050  677m 35s (- 2619m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.4088  loss_TTT: 0.0492  acc: 0.5939  lr: 0.0000 
ep/it:308- 135 niter:118100  677m 52s (- 2619m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0523  acc: 0.5952  lr: 0.0000 
ep/it:308- 185 niter:118150  678m 9s (- 2619m 22s) completed: 20%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0492  acc: 0.5989  lr: 0.0000 
ep/it:308- 235 niter:118200  678m 26s (- 2619m 1s) completed: 20%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0523  acc: 0.5969  lr: 0.0000 
ep/it:308- 285 niter:118250  678m 42s (- 2618m 42s) completed: 20%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0490  acc: 0.5960  lr: 0.0000 
ep/it:308- 335 niter:118300  678m 59s (- 2618m 22s) completed: 20%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0502  acc: 0.5954  lr: 0.0000 
Validation time:
Validation loss:1.576, accuracy:0.569
ep/it:309-   2 niter:118350  679m 20s (- 2618m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0528  acc: 0.5965  lr: 0.0000 
ep/it:309-  52 niter:118400  679m 36s (- 2618m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.4007  loss_TTT: 0.0521  acc: 0.5962  lr: 0.0000 
ep/it:309- 102 niter:118450  679m 53s (- 2617m 42s) completed: 20%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0514  acc: 0.6000  lr: 0.0000 
ep/it:309- 152 niter:118500  680m 10s (- 2617m 23s) completed: 20%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0496  acc: 0.5957  lr: 0.0000 
ep/it:309- 202 niter:118550  680m 27s (- 2617m 5s) completed: 20%) loss_emb: 0.0000  loss: 1.4190  loss_TTT: 0.0501  acc: 0.5919  lr: 0.0000 
ep/it:309- 252 niter:118600  680m 44s (- 2616m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0509  acc: 0.5931  lr: 0.0000 
ep/it:309- 302 niter:118650  681m 0s (- 2616m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0493  acc: 0.5932  lr: 0.0000 
ep/it:309- 352 niter:118700  681m 17s (- 2616m 5s) completed: 20%) loss_emb: 0.0000  loss: 1.4154  loss_TTT: 0.0493  acc: 0.5938  lr: 0.0000 
Validation time:
Validation loss:1.635, accuracy:0.557

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.66it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.72it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.99it/s]
100%|██████████| 47/47 [00:06<00:00,  6.98it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.553608213085681 avg: 2.553608213085681
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5259020808152854 avg: 2.5397551469504833
--> 	 Eva. Repeat 22 :, FID. 0.1003, Diversity Real. 9.4274, Diversity. 9.7299, R_precision_real. [0.51660156 0.69824219 0.79101562], R_precision. [0.50585938 0.69433594 0.79589844], matching_score_real. 2.9456, matching_score_pred. 2.9869, skate_ratio. 0.0449, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7324 (traj_fail_50cm (Traj err)): 0.4570 (kps_fail_20cm): 0.5552 (kps_fail_50cm (Loc. err)): 0.2971 (kps_mean_err(m) (Avg. err)): 0.5005 
ep/it:310-  19 niter:118750  681m 46s (- 2616m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0503  acc: 0.5902  lr: 0.0000 
ep/it:310-  69 niter:118800  682m 3s (- 2616m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0499  acc: 0.5954  lr: 0.0000 
ep/it:310- 119 niter:118850  682m 19s (- 2615m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0505  acc: 0.6046  lr: 0.0000 
ep/it:310- 169 niter:118900  682m 35s (- 2615m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0488  acc: 0.6028  lr: 0.0000 
ep/it:310- 219 niter:118950  682m 52s (- 2615m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.3682  loss_TTT: 0.0498  acc: 0.6039  lr: 0.0000 
ep/it:310- 269 niter:119000  683m 8s (- 2614m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0497  acc: 0.5941  lr: 0.0000 
ep/it:310- 319 niter:119050  683m 25s (- 2614m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0497  acc: 0.5946  lr: 0.0000 
ep/it:310- 369 niter:119100  683m 41s (- 2614m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0514  acc: 0.6008  lr: 0.0000 
Validation time:
Validation loss:1.572, accuracy:0.570
ep/it:311-  36 niter:119150  684m 1s (- 2614m 7s) completed: 20%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0516  acc: 0.5920  lr: 0.0000 
ep/it:311-  86 niter:119200  684m 18s (- 2613m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0491  acc: 0.5983  lr: 0.0000 
ep/it:311- 136 niter:119250  684m 35s (- 2613m 31s) completed: 20%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0485  acc: 0.6008  lr: 0.0000 
ep/it:311- 186 niter:119300  684m 52s (- 2613m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0497  acc: 0.5929  lr: 0.0000 
ep/it:311- 236 niter:119350  685m 9s (- 2612m 53s) completed: 20%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0508  acc: 0.5990  lr: 0.0000 
ep/it:311- 286 niter:119400  685m 26s (- 2612m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0487  acc: 0.5943  lr: 0.0000 
ep/it:311- 336 niter:119450  685m 43s (- 2612m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0495  acc: 0.6038  lr: 0.0000 
Validation time:
Validation loss:1.577, accuracy:0.568
ep/it:312-   3 niter:119500  686m 4s (- 2612m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0502  acc: 0.5993  lr: 0.0000 
ep/it:312-  53 niter:119550  686m 21s (- 2611m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0509  acc: 0.5978  lr: 0.0000 
ep/it:312- 103 niter:119600  686m 38s (- 2611m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0515  acc: 0.5940  lr: 0.0000 
ep/it:312- 153 niter:119650  686m 54s (- 2611m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0487  acc: 0.5977  lr: 0.0000 
ep/it:312- 203 niter:119700  687m 11s (- 2610m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0502  acc: 0.5981  lr: 0.0000 
ep/it:312- 253 niter:119750  687m 28s (- 2610m 42s) completed: 20%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0504  acc: 0.5982  lr: 0.0000 
ep/it:312- 303 niter:119800  687m 45s (- 2610m 21s) completed: 20%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0502  acc: 0.5929  lr: 0.0000 
ep/it:312- 353 niter:119850  688m 2s (- 2610m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.4206  loss_TTT: 0.0509  acc: 0.5929  lr: 0.0000 
Validation time:
Validation loss:1.603, accuracy:0.564
ep/it:313-  20 niter:119900  688m 22s (- 2609m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0472  acc: 0.5982  lr: 0.0000 
ep/it:313-  70 niter:119950  688m 38s (- 2609m 37s) completed: 20%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0495  acc: 0.5958  lr: 0.0000 
ep/it:313- 120 niter:120000  688m 55s (- 2609m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.4361  loss_TTT: 0.0504  acc: 0.5870  lr: 0.0000 
ep/it:313- 170 niter:120050  689m 12s (- 2608m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.4164  loss_TTT: 0.0507  acc: 0.5928  lr: 0.0000 
ep/it:313- 220 niter:120100  689m 28s (- 2608m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0499  acc: 0.5954  lr: 0.0000 
ep/it:313- 270 niter:120150  689m 44s (- 2608m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0509  acc: 0.5955  lr: 0.0000 
ep/it:313- 320 niter:120200  690m 1s (- 2607m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.4452  loss_TTT: 0.0497  acc: 0.5849  lr: 0.0000 
ep/it:313- 370 niter:120250  690m 17s (- 2607m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0514  acc: 0.5913  lr: 0.0000 
Validation time:
Validation loss:1.618, accuracy:0.559
ep/it:314-  37 niter:120300  690m 37s (- 2607m 31s) completed: 20%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0482  acc: 0.5972  lr: 0.0000 
ep/it:314-  87 niter:120350  690m 54s (- 2607m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0486  acc: 0.6001  lr: 0.0000 
ep/it:314- 137 niter:120400  691m 10s (- 2606m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0512  acc: 0.5991  lr: 0.0000 
ep/it:314- 187 niter:120450  691m 27s (- 2606m 31s) completed: 20%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0493  acc: 0.6017  lr: 0.0000 
ep/it:314- 237 niter:120500  691m 43s (- 2606m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0510  acc: 0.5988  lr: 0.0000 
ep/it:314- 287 niter:120550  691m 59s (- 2605m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.4170  loss_TTT: 0.0503  acc: 0.5929  lr: 0.0000 
ep/it:314- 337 niter:120600  692m 16s (- 2605m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0510  acc: 0.5942  lr: 0.0000 
Validation time:
Validation loss:1.639, accuracy:0.551
ep/it:315-   4 niter:120650  692m 35s (- 2605m 20s) completed: 21%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0517  acc: 0.5910  lr: 0.0000 
ep/it:315-  54 niter:120700  692m 52s (- 2605m 0s) completed: 21%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0494  acc: 0.5879  lr: 0.0000 
ep/it:315- 104 niter:120750  693m 8s (- 2604m 39s) completed: 21%) loss_emb: 0.0000  loss: 1.4273  loss_TTT: 0.0511  acc: 0.5885  lr: 0.0000 
ep/it:315- 154 niter:120800  693m 24s (- 2604m 18s) completed: 21%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0518  acc: 0.5968  lr: 0.0000 
ep/it:315- 204 niter:120850  693m 41s (- 2603m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0507  acc: 0.5995  lr: 0.0000 
ep/it:315- 254 niter:120900  693m 57s (- 2603m 38s) completed: 21%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0501  acc: 0.5940  lr: 0.0000 
ep/it:315- 304 niter:120950  694m 14s (- 2603m 19s) completed: 21%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0493  acc: 0.5963  lr: 0.0000 
ep/it:315- 354 niter:121000  694m 30s (- 2602m 59s) completed: 21%) loss_emb: 0.0000  loss: 1.3890  loss_TTT: 0.0485  acc: 0.5984  lr: 0.0000 
Validation time:
Validation loss:1.603, accuracy:0.562
ep/it:316-  21 niter:121050  694m 50s (- 2602m 52s) completed: 21%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0501  acc: 0.5932  lr: 0.0000 
ep/it:316-  71 niter:121100  695m 7s (- 2602m 32s) completed: 21%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0518  acc: 0.5968  lr: 0.0000 
ep/it:316- 121 niter:121150  695m 23s (- 2602m 12s) completed: 21%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0507  acc: 0.5977  lr: 0.0000 
ep/it:316- 171 niter:121200  695m 40s (- 2601m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0502  acc: 0.6085  lr: 0.0000 
ep/it:316- 221 niter:121250  695m 56s (- 2601m 33s) completed: 21%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0492  acc: 0.6018  lr: 0.0000 
ep/it:316- 271 niter:121300  696m 13s (- 2601m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0491  acc: 0.5964  lr: 0.0000 
ep/it:316- 321 niter:121350  696m 29s (- 2600m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0506  acc: 0.5977  lr: 0.0000 
ep/it:316- 371 niter:121400  696m 45s (- 2600m 30s) completed: 21%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0505  acc: 0.5960  lr: 0.0000 
Validation time:
Validation loss:1.618, accuracy:0.559
ep/it:317-  38 niter:121450  697m 5s (- 2600m 24s) completed: 21%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0504  acc: 0.6000  lr: 0.0000 
ep/it:317-  88 niter:121500  697m 22s (- 2600m 5s) completed: 21%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0499  acc: 0.5958  lr: 0.0000 
ep/it:317- 138 niter:121550  697m 39s (- 2599m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0527  acc: 0.5949  lr: 0.0000 
ep/it:317- 188 niter:121600  697m 56s (- 2599m 30s) completed: 21%) loss_emb: 0.0000  loss: 1.3762  loss_TTT: 0.0503  acc: 0.6044  lr: 0.0000 
ep/it:317- 238 niter:121650  698m 13s (- 2599m 12s) completed: 21%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0516  acc: 0.6015  lr: 0.0000 
ep/it:317- 288 niter:121700  698m 30s (- 2598m 53s) completed: 21%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0501  acc: 0.5960  lr: 0.0000 
ep/it:317- 338 niter:121750  698m 47s (- 2598m 36s) completed: 21%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0468  acc: 0.6035  lr: 0.0000 
Validation time:
Validation loss:1.580, accuracy:0.569
ep/it:318-   5 niter:121800  699m 8s (- 2598m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0513  acc: 0.6018  lr: 0.0000 
ep/it:318-  55 niter:121850  699m 25s (- 2598m 12s) completed: 21%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0475  acc: 0.5967  lr: 0.0000 
ep/it:318- 105 niter:121900  699m 41s (- 2597m 53s) completed: 21%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0504  acc: 0.5907  lr: 0.0000 
ep/it:318- 155 niter:121950  699m 58s (- 2597m 34s) completed: 21%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0514  acc: 0.5912  lr: 0.0000 
ep/it:318- 205 niter:122000  700m 15s (- 2597m 15s) completed: 21%) loss_emb: 0.0000  loss: 1.3869  loss_TTT: 0.0491  acc: 0.6009  lr: 0.0000 
ep/it:318- 255 niter:122050  700m 32s (- 2596m 57s) completed: 21%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0499  acc: 0.6000  lr: 0.0000 
ep/it:318- 305 niter:122100  700m 48s (- 2596m 37s) completed: 21%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0514  acc: 0.6007  lr: 0.0000 
ep/it:318- 355 niter:122150  701m 5s (- 2596m 17s) completed: 21%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0482  acc: 0.5993  lr: 0.0000 
Validation time:
Validation loss:1.589, accuracy:0.565
ep/it:319-  22 niter:122200  701m 25s (- 2596m 11s) completed: 21%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0487  acc: 0.5968  lr: 0.0000 
ep/it:319-  72 niter:122250  701m 42s (- 2595m 52s) completed: 21%) loss_emb: 0.0000  loss: 1.4102  loss_TTT: 0.0499  acc: 0.5943  lr: 0.0000 
ep/it:319- 122 niter:122300  701m 58s (- 2595m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0498  acc: 0.5970  lr: 0.0000 
ep/it:319- 172 niter:122350  702m 15s (- 2595m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0519  acc: 0.5977  lr: 0.0000 
ep/it:319- 222 niter:122400  702m 31s (- 2594m 53s) completed: 21%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0506  acc: 0.6009  lr: 0.0000 
ep/it:319- 272 niter:122450  702m 48s (- 2594m 32s) completed: 21%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0499  acc: 0.5960  lr: 0.0000 
ep/it:319- 322 niter:122500  703m 4s (- 2594m 12s) completed: 21%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0480  acc: 0.5998  lr: 0.0000 
ep/it:319- 372 niter:122550  703m 21s (- 2593m 54s) completed: 21%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0524  acc: 0.5860  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.50it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.63it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.05it/s]
100%|██████████| 47/47 [00:06<00:00,  7.02it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5907866349443793 avg: 2.5907866349443793
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5396388890221715 avg: 2.5652127619832754
--> 	 Eva. Repeat 22 :, FID. 0.0988, Diversity Real. 9.4411, Diversity. 9.8654, R_precision_real. [0.51464844 0.70214844 0.80273438], R_precision. [0.52441406 0.70214844 0.79589844], matching_score_real. 2.8526, matching_score_pred. 2.8848, skate_ratio. 0.0461, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7070 (traj_fail_50cm (Traj err)): 0.4111 (kps_fail_20cm): 0.5185 (kps_fail_50cm (Loc. err)): 0.2579 (kps_mean_err(m) (Avg. err)): 0.4520 
ep/it:320-  39 niter:122600  703m 50s (- 2594m 19s) completed: 21%) loss_emb: 0.0000  loss: 1.4200  loss_TTT: 0.0482  acc: 0.5912  lr: 0.0000 
ep/it:320-  89 niter:122650  704m 6s (- 2593m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0500  acc: 0.5936  lr: 0.0000 
ep/it:320- 139 niter:122700  704m 23s (- 2593m 39s) completed: 21%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0506  acc: 0.6084  lr: 0.0000 
ep/it:320- 189 niter:122750  704m 39s (- 2593m 18s) completed: 21%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0516  acc: 0.5875  lr: 0.0000 
ep/it:320- 239 niter:122800  704m 55s (- 2592m 57s) completed: 21%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0503  acc: 0.6023  lr: 0.0000 
ep/it:320- 289 niter:122850  705m 11s (- 2592m 37s) completed: 21%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0508  acc: 0.5915  lr: 0.0000 
ep/it:320- 339 niter:122900  705m 28s (- 2592m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0491  acc: 0.6011  lr: 0.0000 
Validation time:
Validation loss:1.634, accuracy:0.556
ep/it:321-   6 niter:122950  705m 48s (- 2592m 8s) completed: 21%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0492  acc: 0.6001  lr: 0.0000 
ep/it:321-  56 niter:123000  706m 4s (- 2591m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0522  acc: 0.5910  lr: 0.0000 
ep/it:321- 106 niter:123050  706m 21s (- 2591m 30s) completed: 21%) loss_emb: 0.0000  loss: 1.4221  loss_TTT: 0.0512  acc: 0.5906  lr: 0.0000 
ep/it:321- 156 niter:123100  706m 37s (- 2591m 10s) completed: 21%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0497  acc: 0.5919  lr: 0.0000 
ep/it:321- 206 niter:123150  706m 54s (- 2590m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0504  acc: 0.5990  lr: 0.0000 
ep/it:321- 256 niter:123200  707m 11s (- 2590m 32s) completed: 21%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0488  acc: 0.5977  lr: 0.0000 
ep/it:321- 306 niter:123250  707m 27s (- 2590m 10s) completed: 21%) loss_emb: 0.0000  loss: 1.4152  loss_TTT: 0.0508  acc: 0.5939  lr: 0.0000 
ep/it:321- 356 niter:123300  707m 43s (- 2589m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0507  acc: 0.5992  lr: 0.0000 
Validation time:
Validation loss:1.568, accuracy:0.571
ep/it:322-  23 niter:123350  708m 3s (- 2589m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0506  acc: 0.5921  lr: 0.0000 
ep/it:322-  73 niter:123400  708m 20s (- 2589m 23s) completed: 21%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0494  acc: 0.5976  lr: 0.0000 
ep/it:322- 123 niter:123450  708m 36s (- 2589m 3s) completed: 21%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0488  acc: 0.5967  lr: 0.0000 
ep/it:322- 173 niter:123500  708m 53s (- 2588m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.4380  loss_TTT: 0.0518  acc: 0.5878  lr: 0.0000 
ep/it:322- 223 niter:123550  709m 9s (- 2588m 24s) completed: 21%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0502  acc: 0.6008  lr: 0.0000 
ep/it:322- 273 niter:123600  709m 26s (- 2588m 5s) completed: 21%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0504  acc: 0.6013  lr: 0.0000 
ep/it:322- 323 niter:123650  709m 43s (- 2587m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0489  acc: 0.5977  lr: 0.0000 
ep/it:322- 373 niter:123700  709m 59s (- 2587m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0503  acc: 0.5981  lr: 0.0000 
Validation time:
Validation loss:1.584, accuracy:0.567
ep/it:323-  40 niter:123750  710m 20s (- 2587m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0504  acc: 0.6021  lr: 0.0000 
ep/it:323-  90 niter:123800  710m 36s (- 2587m 1s) completed: 21%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0499  acc: 0.5989  lr: 0.0000 
ep/it:323- 140 niter:123850  710m 53s (- 2586m 42s) completed: 21%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0502  acc: 0.5962  lr: 0.0000 
ep/it:323- 190 niter:123900  711m 9s (- 2586m 21s) completed: 21%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0508  acc: 0.5938  lr: 0.0000 
ep/it:323- 240 niter:123950  711m 26s (- 2586m 1s) completed: 21%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0537  acc: 0.5900  lr: 0.0000 
ep/it:323- 290 niter:124000  711m 43s (- 2585m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0479  acc: 0.5954  lr: 0.0000 
ep/it:323- 340 niter:124050  711m 59s (- 2585m 24s) completed: 21%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0473  acc: 0.5895  lr: 0.0000 
Validation time:
Validation loss:1.621, accuracy:0.558
ep/it:324-   7 niter:124100  712m 20s (- 2585m 19s) completed: 21%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0507  acc: 0.5981  lr: 0.0000 
ep/it:324-  57 niter:124150  712m 37s (- 2585m 1s) completed: 21%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0478  acc: 0.5965  lr: 0.0000 
ep/it:324- 107 niter:124200  712m 53s (- 2584m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0501  acc: 0.6033  lr: 0.0000 
ep/it:324- 157 niter:124250  713m 10s (- 2584m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.4171  loss_TTT: 0.0506  acc: 0.5924  lr: 0.0000 
ep/it:324- 207 niter:124300  713m 27s (- 2584m 2s) completed: 21%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0504  acc: 0.5972  lr: 0.0000 
ep/it:324- 257 niter:124350  713m 43s (- 2583m 42s) completed: 21%) loss_emb: 0.0000  loss: 1.4177  loss_TTT: 0.0506  acc: 0.5936  lr: 0.0000 
ep/it:324- 307 niter:124400  714m 0s (- 2583m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0515  acc: 0.6030  lr: 0.0000 
ep/it:324- 357 niter:124450  714m 16s (- 2583m 2s) completed: 21%) loss_emb: 0.0000  loss: 1.3978  loss_TTT: 0.0505  acc: 0.5977  lr: 0.0000 
Validation time:
Validation loss:1.610, accuracy:0.562
ep/it:325-  24 niter:124500  714m 36s (- 2582m 56s) completed: 21%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0500  acc: 0.6004  lr: 0.0000 
ep/it:325-  74 niter:124550  714m 53s (- 2582m 37s) completed: 21%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0508  acc: 0.5948  lr: 0.0000 
ep/it:325- 124 niter:124600  715m 10s (- 2582m 19s) completed: 21%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0500  acc: 0.5926  lr: 0.0000 
ep/it:325- 174 niter:124650  715m 27s (- 2581m 59s) completed: 21%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0491  acc: 0.5980  lr: 0.0000 
ep/it:325- 224 niter:124700  715m 43s (- 2581m 40s) completed: 21%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0509  acc: 0.5896  lr: 0.0000 
ep/it:325- 274 niter:124750  716m 0s (- 2581m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0508  acc: 0.6002  lr: 0.0000 
ep/it:325- 324 niter:124800  716m 17s (- 2581m 2s) completed: 21%) loss_emb: 0.0000  loss: 1.3971  loss_TTT: 0.0491  acc: 0.5973  lr: 0.0000 
ep/it:325- 374 niter:124850  716m 33s (- 2580m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0513  acc: 0.5974  lr: 0.0000 
Validation time:
Validation loss:1.611, accuracy:0.561
ep/it:326-  41 niter:124900  716m 53s (- 2580m 33s) completed: 21%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0501  acc: 0.5999  lr: 0.0000 
ep/it:326-  91 niter:124950  717m 9s (- 2580m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0497  acc: 0.5936  lr: 0.0000 
ep/it:326- 141 niter:125000  717m 25s (- 2579m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0505  acc: 0.5926  lr: 0.0000 
ep/it:326- 191 niter:125050  717m 42s (- 2579m 34s) completed: 21%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0515  acc: 0.6015  lr: 0.0000 
ep/it:326- 241 niter:125100  717m 59s (- 2579m 14s) completed: 21%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0514  acc: 0.5938  lr: 0.0000 
ep/it:326- 291 niter:125150  718m 15s (- 2578m 54s) completed: 21%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0499  acc: 0.5920  lr: 0.0000 
ep/it:326- 341 niter:125200  718m 31s (- 2578m 34s) completed: 21%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0507  acc: 0.5986  lr: 0.0000 
Validation time:
Validation loss:1.591, accuracy:0.568
ep/it:327-   8 niter:125250  718m 52s (- 2578m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0497  acc: 0.5894  lr: 0.0000 
ep/it:327-  58 niter:125300  719m 8s (- 2578m 7s) completed: 21%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0500  acc: 0.6012  lr: 0.0000 
ep/it:327- 108 niter:125350  719m 24s (- 2577m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0505  acc: 0.5932  lr: 0.0000 
ep/it:327- 158 niter:125400  719m 41s (- 2577m 27s) completed: 21%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0483  acc: 0.5994  lr: 0.0000 
ep/it:327- 208 niter:125450  719m 57s (- 2577m 7s) completed: 21%) loss_emb: 0.0000  loss: 1.4208  loss_TTT: 0.0496  acc: 0.5918  lr: 0.0000 
ep/it:327- 258 niter:125500  720m 14s (- 2576m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0497  acc: 0.5936  lr: 0.0000 
ep/it:327- 308 niter:125550  720m 31s (- 2576m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0498  acc: 0.5961  lr: 0.0000 
ep/it:327- 358 niter:125600  720m 47s (- 2576m 9s) completed: 21%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0522  acc: 0.5990  lr: 0.0000 
Validation time:
Validation loss:1.598, accuracy:0.563
ep/it:328-  25 niter:125650  721m 8s (- 2576m 3s) completed: 21%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0500  acc: 0.5991  lr: 0.0000 
ep/it:328-  75 niter:125700  721m 24s (- 2575m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0476  acc: 0.6010  lr: 0.0000 
ep/it:328- 125 niter:125750  721m 41s (- 2575m 23s) completed: 21%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0492  acc: 0.5969  lr: 0.0000 
ep/it:328- 175 niter:125800  721m 57s (- 2575m 2s) completed: 21%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0497  acc: 0.5970  lr: 0.0000 
ep/it:328- 225 niter:125850  722m 13s (- 2574m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.4133  loss_TTT: 0.0514  acc: 0.5934  lr: 0.0000 
ep/it:328- 275 niter:125900  722m 30s (- 2574m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0501  acc: 0.5986  lr: 0.0000 
ep/it:328- 325 niter:125950  722m 45s (- 2574m 0s) completed: 21%) loss_emb: 0.0000  loss: 1.4287  loss_TTT: 0.0507  acc: 0.5881  lr: 0.0000 
ep/it:328- 375 niter:126000  723m 2s (- 2573m 40s) completed: 21%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0500  acc: 0.5931  lr: 0.0000 
Validation time:
Validation loss:1.590, accuracy:0.567
ep/it:329-  42 niter:126050  723m 25s (- 2573m 44s) completed: 21%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0479  acc: 0.5983  lr: 0.0000 
ep/it:329-  92 niter:126100  723m 42s (- 2573m 25s) completed: 21%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0496  acc: 0.6018  lr: 0.0000 
ep/it:329- 142 niter:126150  723m 59s (- 2573m 8s) completed: 21%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0496  acc: 0.5918  lr: 0.0000 
ep/it:329- 192 niter:126200  724m 15s (- 2572m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.3697  loss_TTT: 0.0493  acc: 0.6058  lr: 0.0000 
ep/it:329- 242 niter:126250  724m 32s (- 2572m 28s) completed: 21%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0493  acc: 0.6003  lr: 0.0000 
ep/it:329- 292 niter:126300  724m 49s (- 2572m 10s) completed: 21%) loss_emb: 0.0000  loss: 1.4073  loss_TTT: 0.0508  acc: 0.5944  lr: 0.0000 
ep/it:329- 342 niter:126350  725m 6s (- 2571m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0492  acc: 0.5977  lr: 0.0000 
Validation time:
Validation loss:1.543, accuracy:0.576

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.43it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.69it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.99it/s]
100%|██████████| 47/47 [00:06<00:00,  6.97it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5398303316906095 avg: 2.5398303316906095
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.541505985893309 avg: 2.5406681587919593
--> 	 Eva. Repeat 22 :, FID. 0.0924, Diversity Real. 9.0550, Diversity. 9.8681, R_precision_real. [0.52246094 0.71875    0.82128906], R_precision. [0.51757812 0.70507812 0.796875  ], matching_score_real. 2.8684, matching_score_pred. 2.9850, skate_ratio. 0.0464, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.6934 (traj_fail_50cm (Traj err)): 0.4053 (kps_fail_20cm): 0.5060 (kps_fail_50cm (Loc. err)): 0.2531 (kps_mean_err(m) (Avg. err)): 0.4539 
ep/it:330-   9 niter:126400  725m 34s (- 2572m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0490  acc: 0.5948  lr: 0.0000 
ep/it:330-  59 niter:126450  725m 51s (- 2571m 55s) completed: 22%) loss_emb: 0.0000  loss: 1.4282  loss_TTT: 0.0494  acc: 0.5890  lr: 0.0000 
ep/it:330- 109 niter:126500  726m 8s (- 2571m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0489  acc: 0.5945  lr: 0.0000 
ep/it:330- 159 niter:126550  726m 24s (- 2571m 17s) completed: 22%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0494  acc: 0.5915  lr: 0.0000 
ep/it:330- 209 niter:126600  726m 41s (- 2570m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0481  acc: 0.5958  lr: 0.0000 
ep/it:330- 259 niter:126650  726m 57s (- 2570m 37s) completed: 22%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0514  acc: 0.5924  lr: 0.0000 
ep/it:330- 309 niter:126700  727m 14s (- 2570m 17s) completed: 22%) loss_emb: 0.0000  loss: 1.4376  loss_TTT: 0.0513  acc: 0.5868  lr: 0.0000 
ep/it:330- 359 niter:126750  727m 30s (- 2569m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0506  acc: 0.6019  lr: 0.0000 
Validation time:
Validation loss:1.605, accuracy:0.563
ep/it:331-  26 niter:126800  727m 50s (- 2569m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0511  acc: 0.5967  lr: 0.0000 
ep/it:331-  76 niter:126850  728m 7s (- 2569m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.4213  loss_TTT: 0.0504  acc: 0.5917  lr: 0.0000 
ep/it:331- 126 niter:126900  728m 23s (- 2569m 9s) completed: 22%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0504  acc: 0.5975  lr: 0.0000 
ep/it:331- 176 niter:126950  728m 39s (- 2568m 49s) completed: 22%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0502  acc: 0.5958  lr: 0.0000 
ep/it:331- 226 niter:127000  728m 56s (- 2568m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0506  acc: 0.5941  lr: 0.0000 
ep/it:331- 276 niter:127050  729m 13s (- 2568m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0513  acc: 0.5900  lr: 0.0000 
ep/it:331- 326 niter:127100  729m 29s (- 2567m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.3629  loss_TTT: 0.0482  acc: 0.6072  lr: 0.0000 
ep/it:331- 376 niter:127150  729m 46s (- 2567m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0490  acc: 0.5967  lr: 0.0000 
Validation time:
Validation loss:1.583, accuracy:0.567
ep/it:332-  43 niter:127200  730m 7s (- 2567m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0498  acc: 0.6001  lr: 0.0000 
ep/it:332-  93 niter:127250  730m 24s (- 2567m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0513  acc: 0.5932  lr: 0.0000 
ep/it:332- 143 niter:127300  730m 41s (- 2566m 53s) completed: 22%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0513  acc: 0.6009  lr: 0.0000 
ep/it:332- 193 niter:127350  730m 57s (- 2566m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0502  acc: 0.6029  lr: 0.0000 
ep/it:332- 243 niter:127400  731m 14s (- 2566m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0501  acc: 0.5904  lr: 0.0000 
ep/it:332- 293 niter:127450  731m 31s (- 2565m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0494  acc: 0.5937  lr: 0.0000 
ep/it:332- 343 niter:127500  731m 47s (- 2565m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0488  acc: 0.5954  lr: 0.0000 
Validation time:
Validation loss:1.611, accuracy:0.559
ep/it:333-  10 niter:127550  732m 8s (- 2565m 31s) completed: 22%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0494  acc: 0.5929  lr: 0.0000 
ep/it:333-  60 niter:127600  732m 25s (- 2565m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0503  acc: 0.5871  lr: 0.0000 
ep/it:333- 110 niter:127650  732m 42s (- 2564m 53s) completed: 22%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0502  acc: 0.5973  lr: 0.0000 
ep/it:333- 160 niter:127700  732m 58s (- 2564m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0513  acc: 0.5949  lr: 0.0000 
ep/it:333- 210 niter:127750  733m 15s (- 2564m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0481  acc: 0.5953  lr: 0.0000 
ep/it:333- 260 niter:127800  733m 31s (- 2563m 53s) completed: 22%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0500  acc: 0.5988  lr: 0.0000 
ep/it:333- 310 niter:127850  733m 47s (- 2563m 33s) completed: 22%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0494  acc: 0.5930  lr: 0.0000 
ep/it:333- 360 niter:127900  734m 4s (- 2563m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0500  acc: 0.5933  lr: 0.0000 
Validation time:
Validation loss:1.637, accuracy:0.554
ep/it:334-  27 niter:127950  734m 24s (- 2563m 7s) completed: 22%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0505  acc: 0.5963  lr: 0.0000 
ep/it:334-  77 niter:128000  734m 41s (- 2562m 48s) completed: 22%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0523  acc: 0.5919  lr: 0.0000 
ep/it:334- 127 niter:128050  734m 59s (- 2562m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0496  acc: 0.6012  lr: 0.0000 
ep/it:334- 177 niter:128100  735m 16s (- 2562m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.4279  loss_TTT: 0.0504  acc: 0.5891  lr: 0.0000 
ep/it:334- 227 niter:128150  735m 33s (- 2561m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0484  acc: 0.5967  lr: 0.0000 
ep/it:334- 277 niter:128200  735m 49s (- 2561m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0485  acc: 0.5984  lr: 0.0000 
ep/it:334- 327 niter:128250  736m 5s (- 2561m 16s) completed: 22%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0504  acc: 0.5979  lr: 0.0000 
ep/it:334- 377 niter:128300  736m 22s (- 2560m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0512  acc: 0.5993  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.566
ep/it:335-  44 niter:128350  736m 43s (- 2560m 53s) completed: 22%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0517  acc: 0.5984  lr: 0.0000 
ep/it:335-  94 niter:128400  737m 0s (- 2560m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0485  acc: 0.5928  lr: 0.0000 
ep/it:335- 144 niter:128450  737m 16s (- 2560m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0511  acc: 0.5905  lr: 0.0000 
ep/it:335- 194 niter:128500  737m 33s (- 2559m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0495  acc: 0.5954  lr: 0.0000 
ep/it:335- 244 niter:128550  737m 50s (- 2559m 38s) completed: 22%) loss_emb: 0.0000  loss: 1.4363  loss_TTT: 0.0512  acc: 0.5879  lr: 0.0000 
ep/it:335- 294 niter:128600  738m 7s (- 2559m 19s) completed: 22%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0476  acc: 0.5987  lr: 0.0000 
ep/it:335- 344 niter:128650  738m 23s (- 2558m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0497  acc: 0.5997  lr: 0.0000 
Validation time:
Validation loss:1.554, accuracy:0.574
ep/it:336-  11 niter:128700  738m 43s (- 2558m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0497  acc: 0.5912  lr: 0.0000 
ep/it:336-  61 niter:128750  738m 59s (- 2558m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.3998  loss_TTT: 0.0490  acc: 0.5969  lr: 0.0000 
ep/it:336- 111 niter:128800  739m 16s (- 2558m 10s) completed: 22%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0490  acc: 0.5919  lr: 0.0000 
ep/it:336- 161 niter:128850  739m 32s (- 2557m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0509  acc: 0.6007  lr: 0.0000 
ep/it:336- 211 niter:128900  739m 49s (- 2557m 31s) completed: 22%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0511  acc: 0.5963  lr: 0.0000 
ep/it:336- 261 niter:128950  740m 5s (- 2557m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0494  acc: 0.5918  lr: 0.0000 
ep/it:336- 311 niter:129000  740m 21s (- 2556m 50s) completed: 22%) loss_emb: 0.0000  loss: 1.4051  loss_TTT: 0.0499  acc: 0.5959  lr: 0.0000 
ep/it:336- 361 niter:129050  740m 38s (- 2556m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0495  acc: 0.6012  lr: 0.0000 
Validation time:
Validation loss:1.590, accuracy:0.565
ep/it:337-  28 niter:129100  740m 58s (- 2556m 24s) completed: 22%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0511  acc: 0.6014  lr: 0.0000 
ep/it:337-  78 niter:129150  741m 15s (- 2556m 7s) completed: 22%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0488  acc: 0.5928  lr: 0.0000 
ep/it:337- 128 niter:129200  741m 32s (- 2555m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0520  acc: 0.6036  lr: 0.0000 
ep/it:337- 178 niter:129250  741m 48s (- 2555m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0492  acc: 0.5980  lr: 0.0000 
ep/it:337- 228 niter:129300  742m 4s (- 2555m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0482  acc: 0.5934  lr: 0.0000 
ep/it:337- 278 niter:129350  742m 21s (- 2554m 45s) completed: 22%) loss_emb: 0.0000  loss: 1.4009  loss_TTT: 0.0493  acc: 0.5979  lr: 0.0000 
ep/it:337- 328 niter:129400  742m 37s (- 2554m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0497  acc: 0.5963  lr: 0.0000 
ep/it:337- 378 niter:129450  742m 54s (- 2554m 8s) completed: 22%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0502  acc: 0.5939  lr: 0.0000 
Validation time:
Validation loss:1.552, accuracy:0.576
ep/it:338-  45 niter:129500  743m 14s (- 2554m 0s) completed: 22%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0485  acc: 0.5951  lr: 0.0000 
ep/it:338-  95 niter:129550  743m 30s (- 2553m 39s) completed: 22%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0493  acc: 0.5970  lr: 0.0000 
ep/it:338- 145 niter:129600  743m 46s (- 2553m 18s) completed: 22%) loss_emb: 0.0000  loss: 1.3769  loss_TTT: 0.0480  acc: 0.6038  lr: 0.0000 
ep/it:338- 195 niter:129650  744m 2s (- 2552m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0502  acc: 0.5987  lr: 0.0000 
ep/it:338- 245 niter:129700  744m 18s (- 2552m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.4299  loss_TTT: 0.0517  acc: 0.5901  lr: 0.0000 
ep/it:338- 295 niter:129750  744m 34s (- 2552m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0532  acc: 0.5945  lr: 0.0000 
ep/it:338- 345 niter:129800  744m 51s (- 2551m 55s) completed: 22%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0499  acc: 0.6027  lr: 0.0000 
Validation time:
Validation loss:1.589, accuracy:0.566
ep/it:339-  12 niter:129850  745m 11s (- 2551m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.4068  loss_TTT: 0.0487  acc: 0.5957  lr: 0.0000 
ep/it:339-  62 niter:129900  745m 28s (- 2551m 28s) completed: 22%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0485  acc: 0.5943  lr: 0.0000 
ep/it:339- 112 niter:129950  745m 45s (- 2551m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0504  acc: 0.5940  lr: 0.0000 
ep/it:339- 162 niter:130000  746m 2s (- 2550m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0507  acc: 0.5950  lr: 0.0000 
ep/it:339- 212 niter:130050  746m 19s (- 2550m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.4004  loss_TTT: 0.0490  acc: 0.5963  lr: 0.0000 
ep/it:339- 262 niter:130100  746m 36s (- 2550m 16s) completed: 22%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0481  acc: 0.6007  lr: 0.0000 
ep/it:339- 312 niter:130150  746m 52s (- 2549m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0502  acc: 0.6038  lr: 0.0000 
ep/it:339- 362 niter:130200  747m 9s (- 2549m 38s) completed: 22%) loss_emb: 0.0000  loss: 1.4341  loss_TTT: 0.0522  acc: 0.5893  lr: 0.0000 
Validation time:
Validation loss:1.622, accuracy:0.557

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.51it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.66it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.21it/s]
100%|██████████| 47/47 [00:06<00:00,  7.20it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.546103857923299 avg: 2.546103857923299
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5442736451514065 avg: 2.545188751537353
--> 	 Eva. Repeat 22 :, FID. 0.0885, Diversity Real. 9.3417, Diversity. 9.8268, R_precision_real. [0.546875   0.7265625  0.81054688], R_precision. [0.49902344 0.69433594 0.77832031], matching_score_real. 2.8505, matching_score_pred. 3.0125, skate_ratio. 0.0448, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7051 (traj_fail_50cm (Traj err)): 0.3965 (kps_fail_20cm): 0.5055 (kps_fail_50cm (Loc. err)): 0.2500 (kps_mean_err(m) (Avg. err)): 0.4288 
ep/it:340-  29 niter:130250  747m 37s (- 2549m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0510  acc: 0.6008  lr: 0.0000 
ep/it:340-  79 niter:130300  747m 54s (- 2549m 38s) completed: 22%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0493  acc: 0.6044  lr: 0.0000 
ep/it:340- 129 niter:130350  748m 10s (- 2549m 17s) completed: 22%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0498  acc: 0.5952  lr: 0.0000 
ep/it:340- 179 niter:130400  748m 26s (- 2548m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0508  acc: 0.6026  lr: 0.0000 
ep/it:340- 229 niter:130450  748m 43s (- 2548m 38s) completed: 22%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0507  acc: 0.5920  lr: 0.0000 
ep/it:340- 279 niter:130500  748m 59s (- 2548m 17s) completed: 22%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0492  acc: 0.5973  lr: 0.0000 
ep/it:340- 329 niter:130550  749m 16s (- 2547m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0498  acc: 0.5941  lr: 0.0000 
ep/it:340- 379 niter:130600  749m 33s (- 2547m 40s) completed: 22%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0499  acc: 0.5974  lr: 0.0000 
Validation time:
Validation loss:1.569, accuracy:0.569
ep/it:341-  46 niter:130650  749m 53s (- 2547m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.4334  loss_TTT: 0.0506  acc: 0.5883  lr: 0.0000 
ep/it:341-  96 niter:130700  750m 9s (- 2547m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0528  acc: 0.6040  lr: 0.0000 
ep/it:341- 146 niter:130750  750m 26s (- 2546m 53s) completed: 22%) loss_emb: 0.0000  loss: 1.3873  loss_TTT: 0.0497  acc: 0.6010  lr: 0.0000 
ep/it:341- 196 niter:130800  750m 42s (- 2546m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0492  acc: 0.6042  lr: 0.0000 
ep/it:341- 246 niter:130850  750m 59s (- 2546m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0493  acc: 0.5935  lr: 0.0000 
ep/it:341- 296 niter:130900  751m 15s (- 2545m 55s) completed: 22%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0497  acc: 0.6013  lr: 0.0000 
ep/it:341- 346 niter:130950  751m 32s (- 2545m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0475  acc: 0.5980  lr: 0.0000 
Validation time:
Validation loss:1.631, accuracy:0.554
ep/it:342-  13 niter:131000  751m 53s (- 2545m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0509  acc: 0.5869  lr: 0.0000 
ep/it:342-  63 niter:131050  752m 10s (- 2545m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0491  acc: 0.6003  lr: 0.0000 
ep/it:342- 113 niter:131100  752m 26s (- 2544m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.4044  loss_TTT: 0.0508  acc: 0.5943  lr: 0.0000 
ep/it:342- 163 niter:131150  752m 42s (- 2544m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0519  acc: 0.5951  lr: 0.0000 
ep/it:342- 213 niter:131200  752m 59s (- 2544m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0493  acc: 0.5936  lr: 0.0000 
ep/it:342- 263 niter:131250  753m 16s (- 2543m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.3828  loss_TTT: 0.0480  acc: 0.6004  lr: 0.0000 
ep/it:342- 313 niter:131300  753m 33s (- 2543m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0481  acc: 0.5892  lr: 0.0000 
ep/it:342- 363 niter:131350  753m 49s (- 2543m 16s) completed: 22%) loss_emb: 0.0000  loss: 1.4307  loss_TTT: 0.0501  acc: 0.5892  lr: 0.0000 
Validation time:
Validation loss:1.615, accuracy:0.560
ep/it:343-  30 niter:131400  754m 9s (- 2543m 9s) completed: 22%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0494  acc: 0.5970  lr: 0.0000 
ep/it:343-  80 niter:131450  754m 25s (- 2542m 48s) completed: 22%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0491  acc: 0.5963  lr: 0.0000 
ep/it:343- 130 niter:131500  754m 42s (- 2542m 28s) completed: 22%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0500  acc: 0.5951  lr: 0.0000 
ep/it:343- 180 niter:131550  754m 59s (- 2542m 10s) completed: 22%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0501  acc: 0.5944  lr: 0.0000 
ep/it:343- 230 niter:131600  755m 15s (- 2541m 49s) completed: 22%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0492  acc: 0.6066  lr: 0.0000 
ep/it:343- 280 niter:131650  755m 32s (- 2541m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0500  acc: 0.5963  lr: 0.0000 
ep/it:343- 330 niter:131700  755m 48s (- 2541m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0482  acc: 0.5993  lr: 0.0000 
ep/it:343- 380 niter:131750  756m 5s (- 2540m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0525  acc: 0.5986  lr: 0.0000 
Validation time:
Validation loss:1.611, accuracy:0.560
ep/it:344-  47 niter:131800  756m 25s (- 2540m 45s) completed: 22%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0501  acc: 0.5959  lr: 0.0000 
ep/it:344-  97 niter:131850  756m 42s (- 2540m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0504  acc: 0.5970  lr: 0.0000 
ep/it:344- 147 niter:131900  756m 59s (- 2540m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.4381  loss_TTT: 0.0504  acc: 0.5860  lr: 0.0000 
ep/it:344- 197 niter:131950  757m 15s (- 2539m 46s) completed: 22%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0497  acc: 0.5913  lr: 0.0000 
ep/it:344- 247 niter:132000  757m 31s (- 2539m 27s) completed: 22%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0489  acc: 0.6006  lr: 0.0000 
ep/it:344- 297 niter:132050  757m 49s (- 2539m 10s) completed: 22%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0486  acc: 0.5973  lr: 0.0000 
ep/it:344- 347 niter:132100  758m 5s (- 2538m 49s) completed: 22%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0495  acc: 0.5976  lr: 0.0000 
Validation time:
Validation loss:1.583, accuracy:0.566
ep/it:345-  14 niter:132150  758m 26s (- 2538m 44s) completed: 23%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0503  acc: 0.5984  lr: 0.0000 
ep/it:345-  64 niter:132200  758m 42s (- 2538m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0514  acc: 0.5975  lr: 0.0000 
ep/it:345- 114 niter:132250  758m 58s (- 2538m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0510  acc: 0.5963  lr: 0.0000 
ep/it:345- 164 niter:132300  759m 15s (- 2537m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0485  acc: 0.5955  lr: 0.0000 
ep/it:345- 214 niter:132350  759m 32s (- 2537m 25s) completed: 23%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0518  acc: 0.5896  lr: 0.0000 
ep/it:345- 264 niter:132400  759m 48s (- 2537m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0496  acc: 0.5940  lr: 0.0000 
ep/it:345- 314 niter:132450  760m 5s (- 2536m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0482  acc: 0.5920  lr: 0.0000 
ep/it:345- 364 niter:132500  760m 21s (- 2536m 27s) completed: 23%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0521  acc: 0.5926  lr: 0.0000 
Validation time:
Validation loss:1.571, accuracy:0.568
ep/it:346-  31 niter:132550  760m 42s (- 2536m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0489  acc: 0.5977  lr: 0.0000 
ep/it:346-  81 niter:132600  760m 58s (- 2536m 1s) completed: 23%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0515  acc: 0.5908  lr: 0.0000 
ep/it:346- 131 niter:132650  761m 15s (- 2535m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0495  acc: 0.6076  lr: 0.0000 
ep/it:346- 181 niter:132700  761m 31s (- 2535m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0473  acc: 0.5938  lr: 0.0000 
ep/it:346- 231 niter:132750  761m 48s (- 2535m 2s) completed: 23%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0489  acc: 0.5965  lr: 0.0000 
ep/it:346- 281 niter:132800  762m 4s (- 2534m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0497  acc: 0.5973  lr: 0.0000 
ep/it:346- 331 niter:132850  762m 21s (- 2534m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0498  acc: 0.5988  lr: 0.0000 
ep/it:346- 381 niter:132900  762m 37s (- 2534m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0467  acc: 0.6032  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.562
ep/it:347-  48 niter:132950  762m 58s (- 2533m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0476  acc: 0.6014  lr: 0.0000 
ep/it:347-  98 niter:133000  763m 15s (- 2533m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0473  acc: 0.6021  lr: 0.0000 
ep/it:347- 148 niter:133050  763m 32s (- 2533m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0521  acc: 0.5974  lr: 0.0000 
ep/it:347- 198 niter:133100  763m 49s (- 2533m 2s) completed: 23%) loss_emb: 0.0000  loss: 1.3702  loss_TTT: 0.0506  acc: 0.6052  lr: 0.0000 
ep/it:347- 248 niter:133150  764m 5s (- 2532m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0488  acc: 0.6011  lr: 0.0000 
ep/it:347- 298 niter:133200  764m 21s (- 2532m 22s) completed: 23%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0513  acc: 0.5941  lr: 0.0000 
ep/it:347- 348 niter:133250  764m 38s (- 2532m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0510  acc: 0.5988  lr: 0.0000 
Validation time:
Validation loss:1.574, accuracy:0.570
ep/it:348-  15 niter:133300  764m 58s (- 2531m 56s) completed: 23%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0505  acc: 0.5926  lr: 0.0000 
ep/it:348-  65 niter:133350  765m 15s (- 2531m 37s) completed: 23%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0477  acc: 0.6008  lr: 0.0000 
ep/it:348- 115 niter:133400  765m 31s (- 2531m 17s) completed: 23%) loss_emb: 0.0000  loss: 1.4325  loss_TTT: 0.0497  acc: 0.5869  lr: 0.0000 
ep/it:348- 165 niter:133450  765m 48s (- 2530m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0485  acc: 0.5974  lr: 0.0000 
ep/it:348- 215 niter:133500  766m 5s (- 2530m 40s) completed: 23%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0514  acc: 0.5867  lr: 0.0000 
ep/it:348- 265 niter:133550  766m 22s (- 2530m 22s) completed: 23%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0488  acc: 0.6018  lr: 0.0000 
ep/it:348- 315 niter:133600  766m 38s (- 2530m 2s) completed: 23%) loss_emb: 0.0000  loss: 1.4156  loss_TTT: 0.0516  acc: 0.5934  lr: 0.0000 
ep/it:348- 365 niter:133650  766m 55s (- 2529m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0498  acc: 0.5912  lr: 0.0000 
Validation time:
Validation loss:1.613, accuracy:0.559
ep/it:349-  32 niter:133700  767m 16s (- 2529m 38s) completed: 23%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0482  acc: 0.5897  lr: 0.0000 
ep/it:349-  82 niter:133750  767m 32s (- 2529m 18s) completed: 23%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0491  acc: 0.5906  lr: 0.0000 
ep/it:349- 132 niter:133800  767m 49s (- 2528m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0505  acc: 0.5891  lr: 0.0000 
ep/it:349- 182 niter:133850  768m 5s (- 2528m 40s) completed: 23%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0492  acc: 0.5967  lr: 0.0000 
ep/it:349- 232 niter:133900  768m 23s (- 2528m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0518  acc: 0.5965  lr: 0.0000 
ep/it:349- 282 niter:133950  768m 39s (- 2528m 4s) completed: 23%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0492  acc: 0.5950  lr: 0.0000 
ep/it:349- 332 niter:134000  768m 56s (- 2527m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0513  acc: 0.5955  lr: 0.0000 
ep/it:349- 382 niter:134050  769m 13s (- 2527m 26s) completed: 23%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0508  acc: 0.6005  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.64it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.76it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.02it/s]
100%|██████████| 47/47 [00:06<00:00,  7.00it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5217668497934937 avg: 2.5217668497934937
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.554033561144024 avg: 2.537900205468759
--> 	 Eva. Repeat 22 :, FID. 0.0950, Diversity Real. 9.9325, Diversity. 10.0331, R_precision_real. [0.515625   0.72460938 0.80078125], R_precision. [0.5078125  0.70214844 0.80175781], matching_score_real. 2.9432, matching_score_pred. 2.9872, skate_ratio. 0.0508, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7080 (traj_fail_50cm (Traj err)): 0.4150 (kps_fail_20cm): 0.5084 (kps_fail_50cm (Loc. err)): 0.2605 (kps_mean_err(m) (Avg. err)): 0.4429 
ep/it:350-  49 niter:134100  769m 41s (- 2527m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0484  acc: 0.6000  lr: 0.0000 
ep/it:350-  99 niter:134150  769m 58s (- 2527m 26s) completed: 23%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0482  acc: 0.5980  lr: 0.0000 
ep/it:350- 149 niter:134200  770m 14s (- 2527m 6s) completed: 23%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0498  acc: 0.5988  lr: 0.0000 
ep/it:350- 199 niter:134250  770m 31s (- 2526m 48s) completed: 23%) loss_emb: 0.0000  loss: 1.4034  loss_TTT: 0.0511  acc: 0.5958  lr: 0.0000 
ep/it:350- 249 niter:134300  770m 47s (- 2526m 27s) completed: 23%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0496  acc: 0.5947  lr: 0.0000 
ep/it:350- 299 niter:134350  771m 5s (- 2526m 11s) completed: 23%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0494  acc: 0.6000  lr: 0.0000 
ep/it:350- 349 niter:134400  771m 22s (- 2525m 52s) completed: 23%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0487  acc: 0.6006  lr: 0.0000 
Validation time:
Validation loss:1.569, accuracy:0.570
ep/it:351-  16 niter:134450  771m 41s (- 2525m 44s) completed: 23%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0505  acc: 0.5918  lr: 0.0000 
ep/it:351-  66 niter:134500  771m 58s (- 2525m 24s) completed: 23%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0501  acc: 0.6017  lr: 0.0000 
ep/it:351- 116 niter:134550  772m 15s (- 2525m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0513  acc: 0.6047  lr: 0.0000 
ep/it:351- 166 niter:134600  772m 31s (- 2524m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0492  acc: 0.5946  lr: 0.0000 
ep/it:351- 216 niter:134650  772m 48s (- 2524m 26s) completed: 23%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0503  acc: 0.5968  lr: 0.0000 
ep/it:351- 266 niter:134700  773m 4s (- 2524m 6s) completed: 23%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0501  acc: 0.5965  lr: 0.0000 
ep/it:351- 316 niter:134750  773m 20s (- 2523m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0504  acc: 0.6021  lr: 0.0000 
ep/it:351- 366 niter:134800  773m 37s (- 2523m 28s) completed: 23%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0514  acc: 0.5956  lr: 0.0000 
Validation time:
Validation loss:1.603, accuracy:0.564
ep/it:352-  33 niter:134850  773m 57s (- 2523m 20s) completed: 23%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0481  acc: 0.5977  lr: 0.0000 
ep/it:352-  83 niter:134900  774m 14s (- 2523m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0511  acc: 0.5917  lr: 0.0000 
ep/it:352- 133 niter:134950  774m 30s (- 2522m 41s) completed: 23%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0483  acc: 0.5974  lr: 0.0000 
ep/it:352- 183 niter:135000  774m 47s (- 2522m 22s) completed: 23%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0500  acc: 0.6006  lr: 0.0000 
ep/it:352- 233 niter:135050  775m 4s (- 2522m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0497  acc: 0.6027  lr: 0.0000 
ep/it:352- 283 niter:135100  775m 20s (- 2521m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.3666  loss_TTT: 0.0496  acc: 0.6045  lr: 0.0000 
ep/it:352- 333 niter:135150  775m 36s (- 2521m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0481  acc: 0.6002  lr: 0.0000 
Validation time:
Validation loss:1.621, accuracy:0.558
ep/it:353-   0 niter:135200  775m 57s (- 2521m 16s) completed: 23%) loss_emb: 0.0000  loss: 1.3880  loss_TTT: 0.0502  acc: 0.6011  lr: 0.0000 
ep/it:353-  50 niter:135250  776m 13s (- 2520m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0485  acc: 0.5933  lr: 0.0000 
ep/it:353- 100 niter:135300  776m 30s (- 2520m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0491  acc: 0.5931  lr: 0.0000 
ep/it:353- 150 niter:135350  776m 47s (- 2520m 20s) completed: 23%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0508  acc: 0.5947  lr: 0.0000 
ep/it:353- 200 niter:135400  777m 4s (- 2520m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.4257  loss_TTT: 0.0505  acc: 0.5893  lr: 0.0000 
ep/it:353- 250 niter:135450  777m 21s (- 2519m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0502  acc: 0.5970  lr: 0.0000 
ep/it:353- 300 niter:135500  777m 37s (- 2519m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.4277  loss_TTT: 0.0509  acc: 0.5897  lr: 0.0000 
ep/it:353- 350 niter:135550  777m 54s (- 2519m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0498  acc: 0.5996  lr: 0.0000 
Validation time:
Validation loss:1.597, accuracy:0.564
ep/it:354-  17 niter:135600  778m 14s (- 2518m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0492  acc: 0.5939  lr: 0.0000 
ep/it:354-  67 niter:135650  778m 31s (- 2518m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0475  acc: 0.6007  lr: 0.0000 
ep/it:354- 117 niter:135700  778m 48s (- 2518m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0502  acc: 0.6003  lr: 0.0000 
ep/it:354- 167 niter:135750  779m 5s (- 2518m 2s) completed: 23%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0503  acc: 0.5981  lr: 0.0000 
ep/it:354- 217 niter:135800  779m 21s (- 2517m 41s) completed: 23%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0493  acc: 0.5974  lr: 0.0000 
ep/it:354- 267 niter:135850  779m 37s (- 2517m 22s) completed: 23%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0498  acc: 0.5980  lr: 0.0000 
ep/it:354- 317 niter:135900  779m 54s (- 2517m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0484  acc: 0.5908  lr: 0.0000 
ep/it:354- 367 niter:135950  780m 10s (- 2516m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0501  acc: 0.5944  lr: 0.0000 
Validation time:
Validation loss:1.609, accuracy:0.562
ep/it:355-  34 niter:136000  780m 31s (- 2516m 35s) completed: 23%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0509  acc: 0.6035  lr: 0.0000 
ep/it:355-  84 niter:136050  780m 48s (- 2516m 17s) completed: 23%) loss_emb: 0.0000  loss: 1.3894  loss_TTT: 0.0498  acc: 0.5995  lr: 0.0000 
ep/it:355- 134 niter:136100  781m 4s (- 2515m 59s) completed: 23%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0501  acc: 0.6010  lr: 0.0000 
ep/it:355- 184 niter:136150  781m 21s (- 2515m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0495  acc: 0.5897  lr: 0.0000 
ep/it:355- 234 niter:136200  781m 37s (- 2515m 20s) completed: 23%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0515  acc: 0.5995  lr: 0.0000 
ep/it:355- 284 niter:136250  781m 54s (- 2515m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0487  acc: 0.6001  lr: 0.0000 
ep/it:355- 334 niter:136300  782m 11s (- 2514m 41s) completed: 23%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0494  acc: 0.5945  lr: 0.0000 
Validation time:
Validation loss:1.567, accuracy:0.572
ep/it:356-   1 niter:136350  782m 31s (- 2514m 36s) completed: 23%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0494  acc: 0.5981  lr: 0.0000 
ep/it:356-  51 niter:136400  782m 48s (- 2514m 17s) completed: 23%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0481  acc: 0.5949  lr: 0.0000 
ep/it:356- 101 niter:136450  783m 4s (- 2513m 56s) completed: 23%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0497  acc: 0.6002  lr: 0.0000 
ep/it:356- 151 niter:136500  783m 20s (- 2513m 35s) completed: 23%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0494  acc: 0.5956  lr: 0.0000 
ep/it:356- 201 niter:136550  783m 37s (- 2513m 18s) completed: 23%) loss_emb: 0.0000  loss: 1.4176  loss_TTT: 0.0491  acc: 0.5918  lr: 0.0000 
ep/it:356- 251 niter:136600  783m 54s (- 2512m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0505  acc: 0.5939  lr: 0.0000 
ep/it:356- 301 niter:136650  784m 11s (- 2512m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.4049  loss_TTT: 0.0488  acc: 0.5956  lr: 0.0000 
ep/it:356- 351 niter:136700  784m 27s (- 2512m 20s) completed: 23%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0498  acc: 0.5967  lr: 0.0000 
Validation time:
Validation loss:1.596, accuracy:0.566
ep/it:357-  18 niter:136750  784m 47s (- 2512m 12s) completed: 23%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0505  acc: 0.5938  lr: 0.0000 
ep/it:357-  68 niter:136800  785m 4s (- 2511m 53s) completed: 23%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0491  acc: 0.5963  lr: 0.0000 
ep/it:357- 118 niter:136850  785m 21s (- 2511m 36s) completed: 23%) loss_emb: 0.0000  loss: 1.4254  loss_TTT: 0.0496  acc: 0.5903  lr: 0.0000 
ep/it:357- 168 niter:136900  785m 38s (- 2511m 16s) completed: 23%) loss_emb: 0.0000  loss: 1.4070  loss_TTT: 0.0478  acc: 0.5948  lr: 0.0000 
ep/it:357- 218 niter:136950  785m 54s (- 2510m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.3904  loss_TTT: 0.0506  acc: 0.6005  lr: 0.0000 
ep/it:357- 268 niter:137000  786m 11s (- 2510m 38s) completed: 23%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0525  acc: 0.5911  lr: 0.0000 
ep/it:357- 318 niter:137050  786m 27s (- 2510m 18s) completed: 23%) loss_emb: 0.0000  loss: 1.4050  loss_TTT: 0.0485  acc: 0.5952  lr: 0.0000 
ep/it:357- 368 niter:137100  786m 44s (- 2509m 59s) completed: 23%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0490  acc: 0.5937  lr: 0.0000 
Validation time:
Validation loss:1.617, accuracy:0.559
ep/it:358-  35 niter:137150  787m 4s (- 2509m 51s) completed: 23%) loss_emb: 0.0000  loss: 1.3941  loss_TTT: 0.0496  acc: 0.5991  lr: 0.0000 
ep/it:358-  85 niter:137200  787m 21s (- 2509m 33s) completed: 23%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0521  acc: 0.5949  lr: 0.0000 
ep/it:358- 135 niter:137250  787m 38s (- 2509m 14s) completed: 23%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0505  acc: 0.5967  lr: 0.0000 
ep/it:358- 185 niter:137300  787m 55s (- 2508m 56s) completed: 23%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0511  acc: 0.5983  lr: 0.0000 
ep/it:358- 235 niter:137350  788m 12s (- 2508m 39s) completed: 23%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0508  acc: 0.5950  lr: 0.0000 
ep/it:358- 285 niter:137400  788m 28s (- 2508m 19s) completed: 23%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0485  acc: 0.5901  lr: 0.0000 
ep/it:358- 335 niter:137450  788m 44s (- 2507m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0493  acc: 0.6006  lr: 0.0000 
Validation time:
Validation loss:1.580, accuracy:0.569
ep/it:359-   2 niter:137500  789m 4s (- 2507m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0499  acc: 0.5940  lr: 0.0000 
ep/it:359-  52 niter:137550  789m 21s (- 2507m 31s) completed: 23%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0493  acc: 0.5917  lr: 0.0000 
ep/it:359- 102 niter:137600  789m 38s (- 2507m 12s) completed: 23%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0488  acc: 0.6015  lr: 0.0000 
ep/it:359- 152 niter:137650  789m 54s (- 2506m 52s) completed: 23%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0502  acc: 0.6019  lr: 0.0000 
ep/it:359- 202 niter:137700  790m 10s (- 2506m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.4281  loss_TTT: 0.0500  acc: 0.5898  lr: 0.0000 
ep/it:359- 252 niter:137750  790m 27s (- 2506m 13s) completed: 23%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0521  acc: 0.5950  lr: 0.0000 
ep/it:359- 302 niter:137800  790m 44s (- 2505m 55s) completed: 23%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0475  acc: 0.5996  lr: 0.0000 
ep/it:359- 352 niter:137850  791m 0s (- 2505m 33s) completed: 23%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0489  acc: 0.6042  lr: 0.0000 
Validation time:
Validation loss:1.557, accuracy:0.575

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.69it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.72it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.99it/s]
100%|██████████| 47/47 [00:06<00:00,  6.98it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.552296233829111 avg: 2.552296233829111
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5322059290483594 avg: 2.542251081438735
--> 	 Eva. Repeat 22 :, FID. 0.0930, Diversity Real. 9.7878, Diversity. 9.6774, R_precision_real. [0.52050781 0.68164062 0.77636719], R_precision. [0.48632812 0.67773438 0.77539062], matching_score_real. 2.9332, matching_score_pred. 3.0885, skate_ratio. 0.0444, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7207 (traj_fail_50cm (Traj err)): 0.4141 (kps_fail_20cm): 0.5320 (kps_fail_50cm (Loc. err)): 0.2527 (kps_mean_err(m) (Avg. err)): 0.4555 
ep/it:360-  19 niter:137900  791m 28s (- 2505m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0506  acc: 0.6013  lr: 0.0000 
ep/it:360-  69 niter:137950  791m 45s (- 2505m 34s) completed: 24%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0492  acc: 0.5903  lr: 0.0000 
ep/it:360- 119 niter:138000  792m 2s (- 2505m 15s) completed: 24%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0503  acc: 0.5913  lr: 0.0000 
ep/it:360- 169 niter:138050  792m 19s (- 2504m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0504  acc: 0.5975  lr: 0.0000 
ep/it:360- 219 niter:138100  792m 35s (- 2504m 37s) completed: 24%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0509  acc: 0.6019  lr: 0.0000 
ep/it:360- 269 niter:138150  792m 52s (- 2504m 18s) completed: 24%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0483  acc: 0.5922  lr: 0.0000 
ep/it:360- 319 niter:138200  793m 8s (- 2503m 58s) completed: 24%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0497  acc: 0.5963  lr: 0.0000 
ep/it:360- 369 niter:138250  793m 25s (- 2503m 38s) completed: 24%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0494  acc: 0.5947  lr: 0.0000 
Validation time:
Validation loss:1.564, accuracy:0.571
ep/it:361-  36 niter:138300  793m 45s (- 2503m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0507  acc: 0.5995  lr: 0.0000 
ep/it:361-  86 niter:138350  794m 1s (- 2503m 9s) completed: 24%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0484  acc: 0.6022  lr: 0.0000 
ep/it:361- 136 niter:138400  794m 18s (- 2502m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0496  acc: 0.5957  lr: 0.0000 
ep/it:361- 186 niter:138450  794m 35s (- 2502m 33s) completed: 24%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0505  acc: 0.5918  lr: 0.0000 
ep/it:361- 236 niter:138500  794m 51s (- 2502m 13s) completed: 24%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0488  acc: 0.5947  lr: 0.0000 
ep/it:361- 286 niter:138550  795m 8s (- 2501m 54s) completed: 24%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0507  acc: 0.5933  lr: 0.0000 
ep/it:361- 336 niter:138600  795m 24s (- 2501m 34s) completed: 24%) loss_emb: 0.0000  loss: 1.4142  loss_TTT: 0.0498  acc: 0.5940  lr: 0.0000 
Validation time:
Validation loss:1.610, accuracy:0.561
ep/it:362-   3 niter:138650  795m 44s (- 2501m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0481  acc: 0.5985  lr: 0.0000 
ep/it:362-  53 niter:138700  796m 0s (- 2501m 6s) completed: 24%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0483  acc: 0.5947  lr: 0.0000 
ep/it:362- 103 niter:138750  796m 17s (- 2500m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0520  acc: 0.5982  lr: 0.0000 
ep/it:362- 153 niter:138800  796m 34s (- 2500m 28s) completed: 24%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0486  acc: 0.5915  lr: 0.0000 
ep/it:362- 203 niter:138850  796m 50s (- 2500m 9s) completed: 24%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0510  acc: 0.5989  lr: 0.0000 
ep/it:362- 253 niter:138900  797m 7s (- 2499m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0514  acc: 0.5976  lr: 0.0000 
ep/it:362- 303 niter:138950  797m 24s (- 2499m 32s) completed: 24%) loss_emb: 0.0000  loss: 1.4215  loss_TTT: 0.0516  acc: 0.5911  lr: 0.0000 
ep/it:362- 353 niter:139000  797m 40s (- 2499m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0494  acc: 0.5954  lr: 0.0000 
Validation time:
Validation loss:1.573, accuracy:0.570
ep/it:363-  20 niter:139050  798m 1s (- 2499m 5s) completed: 24%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0485  acc: 0.5979  lr: 0.0000 
ep/it:363-  70 niter:139100  798m 17s (- 2498m 45s) completed: 24%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0484  acc: 0.5939  lr: 0.0000 
ep/it:363- 120 niter:139150  798m 34s (- 2498m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0524  acc: 0.5966  lr: 0.0000 
ep/it:363- 170 niter:139200  798m 51s (- 2498m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0496  acc: 0.6074  lr: 0.0000 
ep/it:363- 220 niter:139250  799m 8s (- 2497m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0478  acc: 0.5938  lr: 0.0000 
ep/it:363- 270 niter:139300  799m 25s (- 2497m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.3892  loss_TTT: 0.0493  acc: 0.6016  lr: 0.0000 
ep/it:363- 320 niter:139350  799m 41s (- 2497m 13s) completed: 24%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0496  acc: 0.5921  lr: 0.0000 
ep/it:363- 370 niter:139400  799m 58s (- 2496m 54s) completed: 24%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0497  acc: 0.6001  lr: 0.0000 
Validation time:
Validation loss:1.596, accuracy:0.565
ep/it:364-  37 niter:139450  800m 18s (- 2496m 46s) completed: 24%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0483  acc: 0.5960  lr: 0.0000 
ep/it:364-  87 niter:139500  800m 35s (- 2496m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0502  acc: 0.5954  lr: 0.0000 
ep/it:364- 137 niter:139550  800m 52s (- 2496m 8s) completed: 24%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0487  acc: 0.5966  lr: 0.0000 
ep/it:364- 187 niter:139600  801m 8s (- 2495m 49s) completed: 24%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0482  acc: 0.6057  lr: 0.0000 
ep/it:364- 237 niter:139650  801m 25s (- 2495m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.4039  loss_TTT: 0.0501  acc: 0.5964  lr: 0.0000 
ep/it:364- 287 niter:139700  801m 41s (- 2495m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0503  acc: 0.5988  lr: 0.0000 
ep/it:364- 337 niter:139750  801m 58s (- 2494m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.3977  loss_TTT: 0.0496  acc: 0.5966  lr: 0.0000 
Validation time:
Validation loss:1.599, accuracy:0.564
ep/it:365-   4 niter:139800  802m 18s (- 2494m 44s) completed: 24%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0501  acc: 0.5952  lr: 0.0000 
ep/it:365-  54 niter:139850  802m 35s (- 2494m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0482  acc: 0.6016  lr: 0.0000 
ep/it:365- 104 niter:139900  802m 51s (- 2494m 5s) completed: 24%) loss_emb: 0.0000  loss: 1.4280  loss_TTT: 0.0503  acc: 0.5895  lr: 0.0000 
ep/it:365- 154 niter:139950  803m 9s (- 2493m 49s) completed: 24%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0508  acc: 0.5994  lr: 0.0000 
ep/it:365- 204 niter:140000  803m 25s (- 2493m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0507  acc: 0.6034  lr: 0.0000 
ep/it:365- 254 niter:140050  803m 42s (- 2493m 11s) completed: 24%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0484  acc: 0.5958  lr: 0.0000 
ep/it:365- 304 niter:140100  803m 59s (- 2492m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0500  acc: 0.6009  lr: 0.0000 
ep/it:365- 354 niter:140150  804m 15s (- 2492m 33s) completed: 24%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0499  acc: 0.6033  lr: 0.0000 
Validation time:
Validation loss:1.545, accuracy:0.576
ep/it:366-  21 niter:140200  804m 35s (- 2492m 24s) completed: 24%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0484  acc: 0.5958  lr: 0.0000 
ep/it:366-  71 niter:140250  804m 53s (- 2492m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0506  acc: 0.6011  lr: 0.0000 
ep/it:366- 121 niter:140300  805m 9s (- 2491m 48s) completed: 24%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0488  acc: 0.5938  lr: 0.0000 
ep/it:366- 171 niter:140350  805m 26s (- 2491m 29s) completed: 24%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0491  acc: 0.5919  lr: 0.0000 
ep/it:366- 221 niter:140400  805m 42s (- 2491m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0506  acc: 0.5986  lr: 0.0000 
ep/it:366- 271 niter:140450  805m 59s (- 2490m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.4362  loss_TTT: 0.0524  acc: 0.5881  lr: 0.0000 
ep/it:366- 321 niter:140500  806m 16s (- 2490m 32s) completed: 24%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0499  acc: 0.6042  lr: 0.0000 
ep/it:366- 371 niter:140550  806m 33s (- 2490m 15s) completed: 24%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0513  acc: 0.5917  lr: 0.0000 
Validation time:
Validation loss:1.591, accuracy:0.566
ep/it:367-  38 niter:140600  806m 53s (- 2490m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0498  acc: 0.5901  lr: 0.0000 
ep/it:367-  88 niter:140650  807m 10s (- 2489m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.4185  loss_TTT: 0.0500  acc: 0.5917  lr: 0.0000 
ep/it:367- 138 niter:140700  807m 26s (- 2489m 28s) completed: 24%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0500  acc: 0.5963  lr: 0.0000 
ep/it:367- 188 niter:140750  807m 43s (- 2489m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0499  acc: 0.5913  lr: 0.0000 
ep/it:367- 238 niter:140800  808m 0s (- 2488m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0483  acc: 0.5975  lr: 0.0000 
ep/it:367- 288 niter:140850  808m 16s (- 2488m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0495  acc: 0.5990  lr: 0.0000 
ep/it:367- 338 niter:140900  808m 33s (- 2488m 14s) completed: 24%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0480  acc: 0.5970  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.561
ep/it:368-   5 niter:140950  808m 54s (- 2488m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.4076  loss_TTT: 0.0493  acc: 0.5962  lr: 0.0000 
ep/it:368-  55 niter:141000  809m 10s (- 2487m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.3742  loss_TTT: 0.0502  acc: 0.6031  lr: 0.0000 
ep/it:368- 105 niter:141050  809m 27s (- 2487m 29s) completed: 24%) loss_emb: 0.0000  loss: 1.3874  loss_TTT: 0.0498  acc: 0.6010  lr: 0.0000 
ep/it:368- 155 niter:141100  809m 44s (- 2487m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0493  acc: 0.5978  lr: 0.0000 
ep/it:368- 205 niter:141150  810m 0s (- 2486m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0505  acc: 0.5973  lr: 0.0000 
ep/it:368- 255 niter:141200  810m 17s (- 2486m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0498  acc: 0.5969  lr: 0.0000 
ep/it:368- 305 niter:141250  810m 33s (- 2486m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0476  acc: 0.5914  lr: 0.0000 
ep/it:368- 355 niter:141300  810m 49s (- 2485m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0511  acc: 0.5943  lr: 0.0000 
Validation time:
Validation loss:1.617, accuracy:0.557
ep/it:369-  22 niter:141350  811m 10s (- 2485m 44s) completed: 24%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0496  acc: 0.5942  lr: 0.0000 
ep/it:369-  72 niter:141400  811m 27s (- 2485m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0486  acc: 0.6010  lr: 0.0000 
ep/it:369- 122 niter:141450  811m 43s (- 2485m 6s) completed: 24%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0489  acc: 0.6009  lr: 0.0000 
ep/it:369- 172 niter:141500  812m 0s (- 2484m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0479  acc: 0.6061  lr: 0.0000 
ep/it:369- 222 niter:141550  812m 16s (- 2484m 28s) completed: 24%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0480  acc: 0.5907  lr: 0.0000 
ep/it:369- 272 niter:141600  812m 33s (- 2484m 8s) completed: 24%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0492  acc: 0.5938  lr: 0.0000 
ep/it:369- 322 niter:141650  812m 49s (- 2483m 49s) completed: 24%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0493  acc: 0.5984  lr: 0.0000 
ep/it:369- 372 niter:141700  813m 6s (- 2483m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.4094  loss_TTT: 0.0502  acc: 0.5948  lr: 0.0000 
Validation time:
Validation loss:1.582, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.57it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.62it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.96it/s]
100%|██████████| 47/47 [00:06<00:00,  6.94it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.565745283383876 avg: 2.565745283383876
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5431311232969165 avg: 2.5544382033403963
--> 	 Eva. Repeat 22 :, FID. 0.1065, Diversity Real. 9.4748, Diversity. 9.8980, R_precision_real. [0.52050781 0.70410156 0.80175781], R_precision. [0.52148438 0.71972656 0.80664062], matching_score_real. 2.9151, matching_score_pred. 2.9559, skate_ratio. 0.0448, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7051 (traj_fail_50cm (Traj err)): 0.4131 (kps_fail_20cm): 0.5149 (kps_fail_50cm (Loc. err)): 0.2550 (kps_mean_err(m) (Avg. err)): 0.4598 
ep/it:370-  39 niter:141750  813m 34s (- 2483m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0517  acc: 0.5966  lr: 0.0000 
ep/it:370-  89 niter:141800  813m 51s (- 2483m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0485  acc: 0.5940  lr: 0.0000 
ep/it:370- 139 niter:141850  814m 7s (- 2483m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.4120  loss_TTT: 0.0497  acc: 0.5928  lr: 0.0000 
ep/it:370- 189 niter:141900  814m 24s (- 2482m 48s) completed: 24%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0494  acc: 0.5980  lr: 0.0000 
ep/it:370- 239 niter:141950  814m 41s (- 2482m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.3821  loss_TTT: 0.0504  acc: 0.6010  lr: 0.0000 
ep/it:370- 289 niter:142000  814m 58s (- 2482m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.3865  loss_TTT: 0.0498  acc: 0.6009  lr: 0.0000 
ep/it:370- 339 niter:142050  815m 14s (- 2481m 53s) completed: 24%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0510  acc: 0.5914  lr: 0.0000 
Validation time:
Validation loss:1.617, accuracy:0.560
ep/it:371-   6 niter:142100  815m 35s (- 2481m 46s) completed: 24%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0505  acc: 0.5981  lr: 0.0000 
ep/it:371-  56 niter:142150  815m 51s (- 2481m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0502  acc: 0.5989  lr: 0.0000 
ep/it:371- 106 niter:142200  816m 8s (- 2481m 8s) completed: 24%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0486  acc: 0.5999  lr: 0.0000 
ep/it:371- 156 niter:142250  816m 24s (- 2480m 48s) completed: 24%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0501  acc: 0.5986  lr: 0.0000 
ep/it:371- 206 niter:142300  816m 41s (- 2480m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0468  acc: 0.6060  lr: 0.0000 
ep/it:371- 256 niter:142350  816m 58s (- 2480m 11s) completed: 24%) loss_emb: 0.0000  loss: 1.4328  loss_TTT: 0.0496  acc: 0.5875  lr: 0.0000 
ep/it:371- 306 niter:142400  817m 14s (- 2479m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.3799  loss_TTT: 0.0503  acc: 0.6036  lr: 0.0000 
ep/it:371- 356 niter:142450  817m 30s (- 2479m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0489  acc: 0.5992  lr: 0.0000 
Validation time:
Validation loss:1.581, accuracy:0.567
ep/it:372-  23 niter:142500  817m 50s (- 2479m 22s) completed: 24%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0528  acc: 0.5973  lr: 0.0000 
ep/it:372-  73 niter:142550  818m 7s (- 2479m 3s) completed: 24%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0489  acc: 0.6052  lr: 0.0000 
ep/it:372- 123 niter:142600  818m 24s (- 2478m 45s) completed: 24%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0493  acc: 0.5988  lr: 0.0000 
ep/it:372- 173 niter:142650  818m 40s (- 2478m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0511  acc: 0.5955  lr: 0.0000 
ep/it:372- 223 niter:142700  818m 56s (- 2478m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.4250  loss_TTT: 0.0509  acc: 0.5905  lr: 0.0000 
ep/it:372- 273 niter:142750  819m 13s (- 2477m 45s) completed: 24%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0493  acc: 0.5957  lr: 0.0000 
ep/it:372- 323 niter:142800  819m 30s (- 2477m 26s) completed: 24%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0498  acc: 0.5940  lr: 0.0000 
ep/it:372- 373 niter:142850  819m 46s (- 2477m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0488  acc: 0.5976  lr: 0.0000 
Validation time:
Validation loss:1.604, accuracy:0.562
ep/it:373-  40 niter:142900  820m 7s (- 2477m 1s) completed: 24%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0498  acc: 0.5927  lr: 0.0000 
ep/it:373-  90 niter:142950  820m 24s (- 2476m 42s) completed: 24%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0500  acc: 0.5965  lr: 0.0000 
ep/it:373- 140 niter:143000  820m 40s (- 2476m 22s) completed: 24%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0491  acc: 0.5969  lr: 0.0000 
ep/it:373- 190 niter:143050  820m 57s (- 2476m 5s) completed: 24%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0485  acc: 0.5959  lr: 0.0000 
ep/it:373- 240 niter:143100  821m 14s (- 2475m 45s) completed: 24%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0488  acc: 0.5975  lr: 0.0000 
ep/it:373- 290 niter:143150  821m 31s (- 2475m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.3534  loss_TTT: 0.0491  acc: 0.6092  lr: 0.0000 
ep/it:373- 340 niter:143200  821m 47s (- 2475m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0491  acc: 0.5980  lr: 0.0000 
Validation time:
Validation loss:1.589, accuracy:0.566
ep/it:374-   7 niter:143250  822m 6s (- 2474m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0515  acc: 0.5895  lr: 0.0000 
ep/it:374-  57 niter:143300  822m 23s (- 2474m 36s) completed: 24%) loss_emb: 0.0000  loss: 1.3715  loss_TTT: 0.0508  acc: 0.6030  lr: 0.0000 
ep/it:374- 107 niter:143350  822m 39s (- 2474m 17s) completed: 24%) loss_emb: 0.0000  loss: 1.3974  loss_TTT: 0.0492  acc: 0.5981  lr: 0.0000 
ep/it:374- 157 niter:143400  822m 55s (- 2473m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.4101  loss_TTT: 0.0486  acc: 0.5927  lr: 0.0000 
ep/it:374- 207 niter:143450  823m 12s (- 2473m 38s) completed: 24%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0493  acc: 0.5993  lr: 0.0000 
ep/it:374- 257 niter:143500  823m 28s (- 2473m 19s) completed: 24%) loss_emb: 0.0000  loss: 1.4187  loss_TTT: 0.0496  acc: 0.5922  lr: 0.0000 
ep/it:374- 307 niter:143550  823m 45s (- 2472m 59s) completed: 24%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0489  acc: 0.5975  lr: 0.0000 
ep/it:374- 357 niter:143600  824m 1s (- 2472m 38s) completed: 24%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0510  acc: 0.6027  lr: 0.0000 
Validation time:
Validation loss:1.557, accuracy:0.573
ep/it:375-  24 niter:143650  824m 21s (- 2472m 30s) completed: 25%) loss_emb: 0.0000  loss: 1.4079  loss_TTT: 0.0497  acc: 0.5963  lr: 0.0000 
ep/it:375-  74 niter:143700  824m 38s (- 2472m 12s) completed: 25%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0485  acc: 0.5973  lr: 0.0000 
ep/it:375- 124 niter:143750  824m 54s (- 2471m 52s) completed: 25%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0498  acc: 0.5987  lr: 0.0000 
ep/it:375- 174 niter:143800  825m 11s (- 2471m 33s) completed: 25%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0488  acc: 0.6043  lr: 0.0000 
ep/it:375- 224 niter:143850  825m 27s (- 2471m 14s) completed: 25%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0494  acc: 0.5934  lr: 0.0000 
ep/it:375- 274 niter:143900  825m 44s (- 2470m 54s) completed: 25%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0481  acc: 0.5953  lr: 0.0000 
ep/it:375- 324 niter:143950  826m 1s (- 2470m 35s) completed: 25%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0499  acc: 0.5958  lr: 0.0000 
ep/it:375- 374 niter:144000  826m 17s (- 2470m 16s) completed: 25%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0491  acc: 0.5956  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.566
ep/it:376-  41 niter:144050  826m 38s (- 2470m 10s) completed: 25%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0469  acc: 0.6030  lr: 0.0000 
ep/it:376-  91 niter:144100  826m 54s (- 2469m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.3595  loss_TTT: 0.0487  acc: 0.6078  lr: 0.0000 
ep/it:376- 141 niter:144150  827m 11s (- 2469m 31s) completed: 25%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0501  acc: 0.6000  lr: 0.0000 
ep/it:376- 191 niter:144200  827m 28s (- 2469m 12s) completed: 25%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0483  acc: 0.5971  lr: 0.0000 
ep/it:376- 241 niter:144250  827m 44s (- 2468m 52s) completed: 25%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0489  acc: 0.5997  lr: 0.0000 
ep/it:376- 291 niter:144300  828m 1s (- 2468m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.3907  loss_TTT: 0.0491  acc: 0.6000  lr: 0.0000 
ep/it:376- 341 niter:144350  828m 17s (- 2468m 13s) completed: 25%) loss_emb: 0.0000  loss: 1.3986  loss_TTT: 0.0513  acc: 0.5965  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.566
ep/it:377-   8 niter:144400  828m 36s (- 2468m 3s) completed: 25%) loss_emb: 0.0000  loss: 1.4082  loss_TTT: 0.0494  acc: 0.5938  lr: 0.0000 
ep/it:377-  58 niter:144450  828m 53s (- 2467m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.4143  loss_TTT: 0.0524  acc: 0.5921  lr: 0.0000 
ep/it:377- 108 niter:144500  829m 11s (- 2467m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0500  acc: 0.5984  lr: 0.0000 
ep/it:377- 158 niter:144550  829m 27s (- 2467m 7s) completed: 25%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0500  acc: 0.5893  lr: 0.0000 
ep/it:377- 208 niter:144600  829m 44s (- 2466m 49s) completed: 25%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0494  acc: 0.5967  lr: 0.0000 
ep/it:377- 258 niter:144650  830m 0s (- 2466m 30s) completed: 25%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0510  acc: 0.5949  lr: 0.0000 
ep/it:377- 308 niter:144700  830m 17s (- 2466m 11s) completed: 25%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0492  acc: 0.5940  lr: 0.0000 
ep/it:377- 358 niter:144750  830m 34s (- 2465m 52s) completed: 25%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0484  acc: 0.5977  lr: 0.0000 
Validation time:
Validation loss:1.605, accuracy:0.562
ep/it:378-  25 niter:144800  830m 53s (- 2465m 43s) completed: 25%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0484  acc: 0.6032  lr: 0.0000 
ep/it:378-  75 niter:144850  831m 10s (- 2465m 23s) completed: 25%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0484  acc: 0.5954  lr: 0.0000 
ep/it:378- 125 niter:144900  831m 26s (- 2465m 4s) completed: 25%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0484  acc: 0.6011  lr: 0.0000 
ep/it:378- 175 niter:144950  831m 43s (- 2464m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0490  acc: 0.5985  lr: 0.0000 
ep/it:378- 225 niter:145000  831m 59s (- 2464m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.4130  loss_TTT: 0.0495  acc: 0.5926  lr: 0.0000 
ep/it:378- 275 niter:145050  832m 16s (- 2464m 7s) completed: 25%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0497  acc: 0.5946  lr: 0.0000 
ep/it:378- 325 niter:145100  832m 33s (- 2463m 48s) completed: 25%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0478  acc: 0.5990  lr: 0.0000 
ep/it:378- 375 niter:145150  832m 50s (- 2463m 31s) completed: 25%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0505  acc: 0.5949  lr: 0.0000 
Validation time:
Validation loss:1.562, accuracy:0.571
ep/it:379-  42 niter:145200  833m 10s (- 2463m 22s) completed: 25%) loss_emb: 0.0000  loss: 1.4092  loss_TTT: 0.0510  acc: 0.5949  lr: 0.0000 
ep/it:379-  92 niter:145250  833m 27s (- 2463m 4s) completed: 25%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0488  acc: 0.6024  lr: 0.0000 
ep/it:379- 142 niter:145300  833m 44s (- 2462m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.3994  loss_TTT: 0.0468  acc: 0.5958  lr: 0.0000 
ep/it:379- 192 niter:145350  834m 0s (- 2462m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0500  acc: 0.6062  lr: 0.0000 
ep/it:379- 242 niter:145400  834m 17s (- 2462m 7s) completed: 25%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0491  acc: 0.6005  lr: 0.0000 
ep/it:379- 292 niter:145450  834m 34s (- 2461m 49s) completed: 25%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0506  acc: 0.5941  lr: 0.0000 
ep/it:379- 342 niter:145500  834m 50s (- 2461m 29s) completed: 25%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0525  acc: 0.5973  lr: 0.0000 
Validation time:
Validation loss:1.595, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.73it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.69it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.09it/s]
100%|██████████| 47/47 [00:06<00:00,  7.09it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5417738310061395 avg: 2.5417738310061395
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5570032820105553 avg: 2.5493885565083474
--> 	 Eva. Repeat 22 :, FID. 0.1210, Diversity Real. 9.6519, Diversity. 10.2309, R_precision_real. [0.51660156 0.6875     0.78125   ], R_precision. [0.51074219 0.70214844 0.80761719], matching_score_real. 2.9219, matching_score_pred. 2.8734, skate_ratio. 0.0469, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7129 (traj_fail_50cm (Traj err)): 0.3906 (kps_fail_20cm): 0.5218 (kps_fail_50cm (Loc. err)): 0.2518 (kps_mean_err(m) (Avg. err)): 0.4426 
ep/it:380-   9 niter:145550  835m 19s (- 2461m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0496  acc: 0.6046  lr: 0.0000 
ep/it:380-  59 niter:145600  835m 36s (- 2461m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.3915  loss_TTT: 0.0494  acc: 0.5990  lr: 0.0000 
ep/it:380- 109 niter:145650  835m 52s (- 2461m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0475  acc: 0.5993  lr: 0.0000 
ep/it:380- 159 niter:145700  836m 9s (- 2460m 49s) completed: 25%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0496  acc: 0.5999  lr: 0.0000 
ep/it:380- 209 niter:145750  836m 25s (- 2460m 30s) completed: 25%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0491  acc: 0.5947  lr: 0.0000 
ep/it:380- 259 niter:145800  836m 42s (- 2460m 10s) completed: 25%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0499  acc: 0.5930  lr: 0.0000 
ep/it:380- 309 niter:145850  836m 58s (- 2459m 51s) completed: 25%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0491  acc: 0.5975  lr: 0.0000 
ep/it:380- 359 niter:145900  837m 14s (- 2459m 31s) completed: 25%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0496  acc: 0.5953  lr: 0.0000 
Validation time:
Validation loss:1.605, accuracy:0.563
ep/it:381-  26 niter:145950  837m 35s (- 2459m 24s) completed: 25%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0503  acc: 0.5936  lr: 0.0000 
ep/it:381-  76 niter:146000  837m 51s (- 2459m 3s) completed: 25%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0503  acc: 0.5952  lr: 0.0000 
ep/it:381- 126 niter:146050  838m 8s (- 2458m 46s) completed: 25%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0483  acc: 0.5980  lr: 0.0000 
ep/it:381- 176 niter:146100  838m 25s (- 2458m 26s) completed: 25%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0520  acc: 0.5970  lr: 0.0000 
ep/it:381- 226 niter:146150  838m 41s (- 2458m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0494  acc: 0.6023  lr: 0.0000 
ep/it:381- 276 niter:146200  838m 57s (- 2457m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0484  acc: 0.5996  lr: 0.0000 
ep/it:381- 326 niter:146250  839m 14s (- 2457m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.4386  loss_TTT: 0.0488  acc: 0.5865  lr: 0.0000 
ep/it:381- 376 niter:146300  839m 31s (- 2457m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0505  acc: 0.5921  lr: 0.0000 
Validation time:
Validation loss:1.593, accuracy:0.564
ep/it:382-  43 niter:146350  839m 51s (- 2457m 1s) completed: 25%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0478  acc: 0.5958  lr: 0.0000 
ep/it:382-  93 niter:146400  840m 8s (- 2456m 43s) completed: 25%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0490  acc: 0.5945  lr: 0.0000 
ep/it:382- 143 niter:146450  840m 25s (- 2456m 24s) completed: 25%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0492  acc: 0.5938  lr: 0.0000 
ep/it:382- 193 niter:146500  840m 42s (- 2456m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0501  acc: 0.5899  lr: 0.0000 
ep/it:382- 243 niter:146550  840m 59s (- 2455m 49s) completed: 25%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0494  acc: 0.6000  lr: 0.0000 
ep/it:382- 293 niter:146600  841m 15s (- 2455m 29s) completed: 25%) loss_emb: 0.0000  loss: 1.4022  loss_TTT: 0.0512  acc: 0.5970  lr: 0.0000 
ep/it:382- 343 niter:146650  841m 32s (- 2455m 10s) completed: 25%) loss_emb: 0.0000  loss: 1.4124  loss_TTT: 0.0503  acc: 0.5927  lr: 0.0000 
Validation time:
Validation loss:1.534, accuracy:0.580
Improved accuracy from 0.58 to 0.5800270334534023!!!
ep/it:383-  10 niter:146700  841m 52s (- 2455m 3s) completed: 25%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0500  acc: 0.6015  lr: 0.0000 
ep/it:383-  60 niter:146750  842m 9s (- 2454m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0496  acc: 0.5958  lr: 0.0000 
ep/it:383- 110 niter:146800  842m 26s (- 2454m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.4020  loss_TTT: 0.0482  acc: 0.5954  lr: 0.0000 
ep/it:383- 160 niter:146850  842m 42s (- 2454m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0478  acc: 0.6018  lr: 0.0000 
ep/it:383- 210 niter:146900  842m 59s (- 2453m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0478  acc: 0.6001  lr: 0.0000 
ep/it:383- 260 niter:146950  843m 15s (- 2453m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0518  acc: 0.5980  lr: 0.0000 
ep/it:383- 310 niter:147000  843m 32s (- 2453m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0495  acc: 0.5972  lr: 0.0000 
ep/it:383- 360 niter:147050  843m 49s (- 2452m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.3953  loss_TTT: 0.0478  acc: 0.5978  lr: 0.0000 
Validation time:
Validation loss:1.562, accuracy:0.574
ep/it:384-  27 niter:147100  844m 9s (- 2452m 42s) completed: 25%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0500  acc: 0.5943  lr: 0.0000 
ep/it:384-  77 niter:147150  844m 25s (- 2452m 22s) completed: 25%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0486  acc: 0.5975  lr: 0.0000 
ep/it:384- 127 niter:147200  844m 42s (- 2452m 4s) completed: 25%) loss_emb: 0.0000  loss: 1.4132  loss_TTT: 0.0508  acc: 0.5925  lr: 0.0000 
ep/it:384- 177 niter:147250  844m 59s (- 2451m 44s) completed: 25%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0485  acc: 0.5960  lr: 0.0000 
ep/it:384- 227 niter:147300  845m 15s (- 2451m 26s) completed: 25%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0496  acc: 0.5982  lr: 0.0000 
ep/it:384- 277 niter:147350  845m 32s (- 2451m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0497  acc: 0.5939  lr: 0.0000 
ep/it:384- 327 niter:147400  845m 48s (- 2450m 46s) completed: 25%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0493  acc: 0.5936  lr: 0.0000 
ep/it:384- 377 niter:147450  846m 5s (- 2450m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0494  acc: 0.5945  lr: 0.0000 
Validation time:
Validation loss:1.599, accuracy:0.563
ep/it:385-  44 niter:147500  846m 25s (- 2450m 20s) completed: 25%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0479  acc: 0.6008  lr: 0.0000 
ep/it:385-  94 niter:147550  846m 43s (- 2450m 3s) completed: 25%) loss_emb: 0.0000  loss: 1.4401  loss_TTT: 0.0477  acc: 0.5863  lr: 0.0000 
ep/it:385- 144 niter:147600  846m 59s (- 2449m 44s) completed: 25%) loss_emb: 0.0000  loss: 1.4196  loss_TTT: 0.0514  acc: 0.5916  lr: 0.0000 
ep/it:385- 194 niter:147650  847m 15s (- 2449m 24s) completed: 25%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0490  acc: 0.5975  lr: 0.0000 
ep/it:385- 244 niter:147700  847m 32s (- 2449m 5s) completed: 25%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0504  acc: 0.5899  lr: 0.0000 
ep/it:385- 294 niter:147750  847m 48s (- 2448m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0486  acc: 0.5962  lr: 0.0000 
ep/it:385- 344 niter:147800  848m 5s (- 2448m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0497  acc: 0.5957  lr: 0.0000 
Validation time:
Validation loss:1.582, accuracy:0.566
ep/it:386-  11 niter:147850  848m 25s (- 2448m 17s) completed: 25%) loss_emb: 0.0000  loss: 1.4032  loss_TTT: 0.0527  acc: 0.5961  lr: 0.0000 
ep/it:386-  61 niter:147900  848m 41s (- 2447m 56s) completed: 25%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0496  acc: 0.5983  lr: 0.0000 
ep/it:386- 111 niter:147950  848m 57s (- 2447m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.3923  loss_TTT: 0.0495  acc: 0.5970  lr: 0.0000 
ep/it:386- 161 niter:148000  849m 14s (- 2447m 17s) completed: 25%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0498  acc: 0.6022  lr: 0.0000 
ep/it:386- 211 niter:148050  849m 30s (- 2446m 59s) completed: 25%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0472  acc: 0.6005  lr: 0.0000 
ep/it:386- 261 niter:148100  849m 47s (- 2446m 39s) completed: 25%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0501  acc: 0.5896  lr: 0.0000 
ep/it:386- 311 niter:148150  850m 4s (- 2446m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0495  acc: 0.6010  lr: 0.0000 
ep/it:386- 361 niter:148200  850m 21s (- 2446m 3s) completed: 25%) loss_emb: 0.0000  loss: 1.4077  loss_TTT: 0.0488  acc: 0.5959  lr: 0.0000 
Validation time:
Validation loss:1.662, accuracy:0.547
ep/it:387-  28 niter:148250  850m 41s (- 2445m 54s) completed: 25%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0494  acc: 0.6002  lr: 0.0000 
ep/it:387-  78 niter:148300  850m 57s (- 2445m 35s) completed: 25%) loss_emb: 0.0000  loss: 1.4193  loss_TTT: 0.0481  acc: 0.5911  lr: 0.0000 
ep/it:387- 128 niter:148350  851m 13s (- 2445m 14s) completed: 25%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0495  acc: 0.5946  lr: 0.0000 
ep/it:387- 178 niter:148400  851m 30s (- 2444m 55s) completed: 25%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0498  acc: 0.5974  lr: 0.0000 
ep/it:387- 228 niter:148450  851m 46s (- 2444m 35s) completed: 25%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0504  acc: 0.5985  lr: 0.0000 
ep/it:387- 278 niter:148500  852m 3s (- 2444m 16s) completed: 25%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0501  acc: 0.5971  lr: 0.0000 
ep/it:387- 328 niter:148550  852m 20s (- 2443m 58s) completed: 25%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0491  acc: 0.5998  lr: 0.0000 
ep/it:387- 378 niter:148600  852m 37s (- 2443m 40s) completed: 25%) loss_emb: 0.0000  loss: 1.3784  loss_TTT: 0.0480  acc: 0.6025  lr: 0.0000 
Validation time:
Validation loss:1.590, accuracy:0.564
ep/it:388-  45 niter:148650  852m 57s (- 2443m 32s) completed: 25%) loss_emb: 0.0000  loss: 1.4046  loss_TTT: 0.0487  acc: 0.5953  lr: 0.0000 
ep/it:388-  95 niter:148700  853m 13s (- 2443m 11s) completed: 25%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0502  acc: 0.6001  lr: 0.0000 
ep/it:388- 145 niter:148750  853m 29s (- 2442m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0500  acc: 0.5923  lr: 0.0000 
ep/it:388- 195 niter:148800  853m 45s (- 2442m 31s) completed: 25%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0480  acc: 0.5999  lr: 0.0000 
ep/it:388- 245 niter:148850  854m 1s (- 2442m 10s) completed: 25%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0497  acc: 0.5951  lr: 0.0000 
ep/it:388- 295 niter:148900  854m 18s (- 2441m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0492  acc: 0.5956  lr: 0.0000 
ep/it:388- 345 niter:148950  854m 34s (- 2441m 31s) completed: 25%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0482  acc: 0.6024  lr: 0.0000 
Validation time:
Validation loss:1.623, accuracy:0.560
ep/it:389-  12 niter:149000  854m 55s (- 2441m 23s) completed: 25%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0507  acc: 0.5975  lr: 0.0000 
ep/it:389-  62 niter:149050  855m 11s (- 2441m 5s) completed: 25%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0489  acc: 0.5969  lr: 0.0000 
ep/it:389- 112 niter:149100  855m 28s (- 2440m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0501  acc: 0.5925  lr: 0.0000 
ep/it:389- 162 niter:149150  855m 44s (- 2440m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0488  acc: 0.6102  lr: 0.0000 
ep/it:389- 212 niter:149200  856m 0s (- 2440m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.3911  loss_TTT: 0.0489  acc: 0.5982  lr: 0.0000 
ep/it:389- 262 niter:149250  856m 17s (- 2439m 47s) completed: 25%) loss_emb: 0.0000  loss: 1.3970  loss_TTT: 0.0518  acc: 0.5970  lr: 0.0000 
ep/it:389- 312 niter:149300  856m 33s (- 2439m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0485  acc: 0.5918  lr: 0.0000 
ep/it:389- 362 niter:149350  856m 50s (- 2439m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0478  acc: 0.6010  lr: 0.0000 
Validation time:
Validation loss:1.571, accuracy:0.570

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.73it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.70it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.01it/s]
100%|██████████| 47/47 [00:06<00:00,  7.01it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5280781779438257 avg: 2.5280781779438257
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.548564113676548 avg: 2.538321145810187
--> 	 Eva. Repeat 22 :, FID. 0.0821, Diversity Real. 9.7290, Diversity. 10.1703, R_precision_real. [0.51367188 0.71289062 0.80175781], R_precision. [0.515625   0.70507812 0.796875  ], matching_score_real. 2.9627, matching_score_pred. 2.9387, skate_ratio. 0.0468, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7158 (traj_fail_50cm (Traj err)): 0.4307 (kps_fail_20cm): 0.5411 (kps_fail_50cm (Loc. err)): 0.2800 (kps_mean_err(m) (Avg. err)): 0.4646 
ep/it:390-  29 niter:149400  857m 19s (- 2439m 24s) completed: 26%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0490  acc: 0.6010  lr: 0.0000 
ep/it:390-  79 niter:149450  857m 35s (- 2439m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0485  acc: 0.5907  lr: 0.0000 
ep/it:390- 129 niter:149500  857m 51s (- 2438m 44s) completed: 26%) loss_emb: 0.0000  loss: 1.4090  loss_TTT: 0.0489  acc: 0.5947  lr: 0.0000 
ep/it:390- 179 niter:149550  858m 8s (- 2438m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0486  acc: 0.5986  lr: 0.0000 
ep/it:390- 229 niter:149600  858m 24s (- 2438m 6s) completed: 26%) loss_emb: 0.0000  loss: 1.4129  loss_TTT: 0.0472  acc: 0.5930  lr: 0.0000 
ep/it:390- 279 niter:149650  858m 41s (- 2437m 48s) completed: 26%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0514  acc: 0.6005  lr: 0.0000 
ep/it:390- 329 niter:149700  858m 58s (- 2437m 29s) completed: 26%) loss_emb: 0.0000  loss: 1.3940  loss_TTT: 0.0497  acc: 0.5988  lr: 0.0000 
ep/it:390- 379 niter:149750  859m 14s (- 2437m 9s) completed: 26%) loss_emb: 0.0000  loss: 1.3963  loss_TTT: 0.0501  acc: 0.5980  lr: 0.0000 
Validation time:
Validation loss:1.620, accuracy:0.556
ep/it:391-  46 niter:149800  859m 34s (- 2437m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0494  acc: 0.5939  lr: 0.0000 
ep/it:391-  96 niter:149850  859m 51s (- 2436m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0509  acc: 0.6025  lr: 0.0000 
ep/it:391- 146 niter:149900  860m 8s (- 2436m 24s) completed: 26%) loss_emb: 0.0000  loss: 1.3995  loss_TTT: 0.0500  acc: 0.5967  lr: 0.0000 
ep/it:391- 196 niter:149950  860m 25s (- 2436m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0495  acc: 0.6014  lr: 0.0000 
ep/it:391- 246 niter:150000  860m 42s (- 2435m 47s) completed: 26%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0491  acc: 0.5981  lr: 0.0000 
ep/it:391- 296 niter:150050  860m 59s (- 2435m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0479  acc: 0.6011  lr: 0.0000 
ep/it:391- 346 niter:150100  861m 15s (- 2435m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.4095  loss_TTT: 0.0488  acc: 0.5946  lr: 0.0000 
Validation time:
Validation loss:1.607, accuracy:0.561
ep/it:392-  13 niter:150150  861m 36s (- 2435m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0493  acc: 0.5952  lr: 0.0000 
ep/it:392-  63 niter:150200  861m 53s (- 2434m 45s) completed: 26%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0494  acc: 0.5963  lr: 0.0000 
ep/it:392- 113 niter:150250  862m 9s (- 2434m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0479  acc: 0.5986  lr: 0.0000 
ep/it:392- 163 niter:150300  862m 25s (- 2434m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0491  acc: 0.6024  lr: 0.0000 
ep/it:392- 213 niter:150350  862m 42s (- 2433m 45s) completed: 26%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0493  acc: 0.5947  lr: 0.0000 
ep/it:392- 263 niter:150400  862m 58s (- 2433m 25s) completed: 26%) loss_emb: 0.0000  loss: 1.4018  loss_TTT: 0.0483  acc: 0.5967  lr: 0.0000 
ep/it:392- 313 niter:150450  863m 15s (- 2433m 7s) completed: 26%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0476  acc: 0.5956  lr: 0.0000 
ep/it:392- 363 niter:150500  863m 32s (- 2432m 48s) completed: 26%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0497  acc: 0.5963  lr: 0.0000 
Validation time:
Validation loss:1.545, accuracy:0.576
ep/it:393-  30 niter:150550  863m 53s (- 2432m 42s) completed: 26%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0510  acc: 0.5942  lr: 0.0000 
ep/it:393-  80 niter:150600  864m 9s (- 2432m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0493  acc: 0.5961  lr: 0.0000 
ep/it:393- 130 niter:150650  864m 26s (- 2432m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0486  acc: 0.6015  lr: 0.0000 
ep/it:393- 180 niter:150700  864m 43s (- 2431m 46s) completed: 26%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0483  acc: 0.5989  lr: 0.0000 
ep/it:393- 230 niter:150750  864m 59s (- 2431m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0499  acc: 0.6005  lr: 0.0000 
ep/it:393- 280 niter:150800  865m 16s (- 2431m 8s) completed: 26%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0504  acc: 0.5996  lr: 0.0000 
ep/it:393- 330 niter:150850  865m 32s (- 2430m 48s) completed: 26%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0494  acc: 0.5932  lr: 0.0000 
ep/it:393- 380 niter:150900  865m 49s (- 2430m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.4058  loss_TTT: 0.0500  acc: 0.5956  lr: 0.0000 
Validation time:
Validation loss:1.594, accuracy:0.565
ep/it:394-  47 niter:150950  866m 10s (- 2430m 22s) completed: 26%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0480  acc: 0.6001  lr: 0.0000 
ep/it:394-  97 niter:151000  866m 26s (- 2430m 3s) completed: 26%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0489  acc: 0.5980  lr: 0.0000 
ep/it:394- 147 niter:151050  866m 43s (- 2429m 45s) completed: 26%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0498  acc: 0.5971  lr: 0.0000 
ep/it:394- 197 niter:151100  867m 0s (- 2429m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0492  acc: 0.5985  lr: 0.0000 
ep/it:394- 247 niter:151150  867m 16s (- 2429m 6s) completed: 26%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0502  acc: 0.5957  lr: 0.0000 
ep/it:394- 297 niter:151200  867m 32s (- 2428m 46s) completed: 26%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0493  acc: 0.6006  lr: 0.0000 
ep/it:394- 347 niter:151250  867m 49s (- 2428m 28s) completed: 26%) loss_emb: 0.0000  loss: 1.3864  loss_TTT: 0.0495  acc: 0.6005  lr: 0.0000 
Validation time:
Validation loss:1.566, accuracy:0.571
ep/it:395-  14 niter:151300  868m 9s (- 2428m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0477  acc: 0.5970  lr: 0.0000 
ep/it:395-  64 niter:151350  868m 25s (- 2427m 59s) completed: 26%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0474  acc: 0.6014  lr: 0.0000 
ep/it:395- 114 niter:151400  868m 42s (- 2427m 40s) completed: 26%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0480  acc: 0.6036  lr: 0.0000 
ep/it:395- 164 niter:151450  868m 59s (- 2427m 22s) completed: 26%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0513  acc: 0.5915  lr: 0.0000 
ep/it:395- 214 niter:151500  869m 15s (- 2427m 2s) completed: 26%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0497  acc: 0.6011  lr: 0.0000 
ep/it:395- 264 niter:151550  869m 32s (- 2426m 44s) completed: 26%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0485  acc: 0.6025  lr: 0.0000 
ep/it:395- 314 niter:151600  869m 49s (- 2426m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0474  acc: 0.5935  lr: 0.0000 
ep/it:395- 364 niter:151650  870m 5s (- 2426m 7s) completed: 26%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0510  acc: 0.5957  lr: 0.0000 
Validation time:
Validation loss:1.578, accuracy:0.568
ep/it:396-  31 niter:151700  870m 26s (- 2425m 59s) completed: 26%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0501  acc: 0.6025  lr: 0.0000 
ep/it:396-  81 niter:151750  870m 43s (- 2425m 40s) completed: 26%) loss_emb: 0.0000  loss: 1.4029  loss_TTT: 0.0487  acc: 0.5960  lr: 0.0000 
ep/it:396- 131 niter:151800  870m 59s (- 2425m 20s) completed: 26%) loss_emb: 0.0000  loss: 1.3875  loss_TTT: 0.0489  acc: 0.6002  lr: 0.0000 
ep/it:396- 181 niter:151850  871m 15s (- 2425m 1s) completed: 26%) loss_emb: 0.0000  loss: 1.4210  loss_TTT: 0.0485  acc: 0.5900  lr: 0.0000 
ep/it:396- 231 niter:151900  871m 32s (- 2424m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0482  acc: 0.5983  lr: 0.0000 
ep/it:396- 281 niter:151950  871m 48s (- 2424m 21s) completed: 26%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0505  acc: 0.5895  lr: 0.0000 
ep/it:396- 331 niter:152000  872m 5s (- 2424m 3s) completed: 26%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0488  acc: 0.6055  lr: 0.0000 
ep/it:396- 381 niter:152050  872m 22s (- 2423m 45s) completed: 26%) loss_emb: 0.0000  loss: 1.3782  loss_TTT: 0.0493  acc: 0.6012  lr: 0.0000 
Validation time:
Validation loss:1.600, accuracy:0.563
ep/it:397-  48 niter:152100  872m 42s (- 2423m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0486  acc: 0.5951  lr: 0.0000 
ep/it:397-  98 niter:152150  872m 58s (- 2423m 15s) completed: 26%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0480  acc: 0.6003  lr: 0.0000 
ep/it:397- 148 niter:152200  873m 14s (- 2422m 56s) completed: 26%) loss_emb: 0.0000  loss: 1.3949  loss_TTT: 0.0504  acc: 0.5994  lr: 0.0000 
ep/it:397- 198 niter:152250  873m 32s (- 2422m 39s) completed: 26%) loss_emb: 0.0000  loss: 1.3956  loss_TTT: 0.0475  acc: 0.5966  lr: 0.0000 
ep/it:397- 248 niter:152300  873m 48s (- 2422m 19s) completed: 26%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0484  acc: 0.5960  lr: 0.0000 
ep/it:397- 298 niter:152350  874m 4s (- 2421m 59s) completed: 26%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0498  acc: 0.5976  lr: 0.0000 
ep/it:397- 348 niter:152400  874m 21s (- 2421m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0481  acc: 0.6021  lr: 0.0000 
Validation time:
Validation loss:1.605, accuracy:0.560
ep/it:398-  15 niter:152450  874m 41s (- 2421m 32s) completed: 26%) loss_emb: 0.0000  loss: 1.3802  loss_TTT: 0.0490  acc: 0.6015  lr: 0.0000 
ep/it:398-  65 niter:152500  874m 57s (- 2421m 12s) completed: 26%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0475  acc: 0.5995  lr: 0.0000 
ep/it:398- 115 niter:152550  875m 14s (- 2420m 53s) completed: 26%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0512  acc: 0.5934  lr: 0.0000 
ep/it:398- 165 niter:152600  875m 30s (- 2420m 33s) completed: 26%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0496  acc: 0.6024  lr: 0.0000 
ep/it:398- 215 niter:152650  875m 47s (- 2420m 14s) completed: 26%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0494  acc: 0.5963  lr: 0.0000 
ep/it:398- 265 niter:152700  876m 3s (- 2419m 56s) completed: 26%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0496  acc: 0.6040  lr: 0.0000 
ep/it:398- 315 niter:152750  876m 19s (- 2419m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0474  acc: 0.5954  lr: 0.0000 
ep/it:398- 365 niter:152800  876m 35s (- 2419m 15s) completed: 26%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0499  acc: 0.6016  lr: 0.0000 
Validation time:
Validation loss:1.579, accuracy:0.569
ep/it:399-  32 niter:152850  876m 55s (- 2419m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0488  acc: 0.5984  lr: 0.0000 
ep/it:399-  82 niter:152900  877m 12s (- 2418m 46s) completed: 26%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0489  acc: 0.5969  lr: 0.0000 
ep/it:399- 132 niter:152950  877m 28s (- 2418m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0508  acc: 0.5994  lr: 0.0000 
ep/it:399- 182 niter:153000  877m 45s (- 2418m 9s) completed: 26%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0486  acc: 0.5987  lr: 0.0000 
ep/it:399- 232 niter:153050  878m 2s (- 2417m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0476  acc: 0.5936  lr: 0.0000 
ep/it:399- 282 niter:153100  878m 18s (- 2417m 29s) completed: 26%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0499  acc: 0.5935  lr: 0.0000 
ep/it:399- 332 niter:153150  878m 34s (- 2417m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0495  acc: 0.5938  lr: 0.0000 
ep/it:399- 382 niter:153200  878m 51s (- 2416m 51s) completed: 26%) loss_emb: 0.0000  loss: 1.4301  loss_TTT: 0.0491  acc: 0.5882  lr: 0.0000 
Validation time:
Validation loss:1.587, accuracy:0.564

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.69it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.80it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.05it/s]
100%|██████████| 47/47 [00:06<00:00,  7.08it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5440210928209126 avg: 2.5440210928209126
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5372283929027617 avg: 2.540624742861837
--> 	 Eva. Repeat 22 :, FID. 0.1516, Diversity Real. 9.4885, Diversity. 9.6723, R_precision_real. [0.50683594 0.69433594 0.80078125], R_precision. [0.49414062 0.69042969 0.796875  ], matching_score_real. 2.9600, matching_score_pred. 3.0094, skate_ratio. 0.0481, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.6973 (traj_fail_50cm (Traj err)): 0.4189 (kps_fail_20cm): 0.5230 (kps_fail_50cm (Loc. err)): 0.2743 (kps_mean_err(m) (Avg. err)): 0.4613 
ep/it:400-  49 niter:153250  879m 19s (- 2417m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0476  acc: 0.6015  lr: 0.0000 
ep/it:400-  99 niter:153300  879m 36s (- 2416m 47s) completed: 26%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0512  acc: 0.5988  lr: 0.0000 
ep/it:400- 149 niter:153350  879m 53s (- 2416m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0482  acc: 0.6000  lr: 0.0000 
ep/it:400- 199 niter:153400  880m 8s (- 2416m 6s) completed: 26%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0487  acc: 0.6048  lr: 0.0000 
ep/it:400- 249 niter:153450  880m 25s (- 2415m 47s) completed: 26%) loss_emb: 0.0000  loss: 1.4117  loss_TTT: 0.0491  acc: 0.5932  lr: 0.0000 
ep/it:400- 299 niter:153500  880m 42s (- 2415m 28s) completed: 26%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0476  acc: 0.5960  lr: 0.0000 
ep/it:400- 349 niter:153550  880m 58s (- 2415m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0502  acc: 0.5916  lr: 0.0000 
Validation time:
Validation loss:1.595, accuracy:0.564
ep/it:401-  16 niter:153600  881m 19s (- 2415m 2s) completed: 26%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0497  acc: 0.6041  lr: 0.0000 
ep/it:401-  66 niter:153650  881m 36s (- 2414m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0484  acc: 0.5970  lr: 0.0000 
ep/it:401- 116 niter:153700  881m 52s (- 2414m 24s) completed: 26%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0493  acc: 0.6011  lr: 0.0000 
ep/it:401- 166 niter:153750  882m 8s (- 2414m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0472  acc: 0.5952  lr: 0.0000 
ep/it:401- 216 niter:153800  882m 25s (- 2413m 45s) completed: 26%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0501  acc: 0.6002  lr: 0.0000 
ep/it:401- 266 niter:153850  882m 42s (- 2413m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.4146  loss_TTT: 0.0502  acc: 0.5919  lr: 0.0000 
ep/it:401- 316 niter:153900  882m 59s (- 2413m 9s) completed: 26%) loss_emb: 0.0000  loss: 1.4408  loss_TTT: 0.0486  acc: 0.5869  lr: 0.0000 
ep/it:401- 366 niter:153950  883m 15s (- 2412m 50s) completed: 26%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0492  acc: 0.6014  lr: 0.0000 
Validation time:
Validation loss:1.578, accuracy:0.569
ep/it:402-  33 niter:154000  883m 36s (- 2412m 42s) completed: 26%) loss_emb: 0.0000  loss: 1.4021  loss_TTT: 0.0492  acc: 0.5955  lr: 0.0000 
ep/it:402-  83 niter:154050  883m 53s (- 2412m 25s) completed: 26%) loss_emb: 0.0000  loss: 1.3939  loss_TTT: 0.0498  acc: 0.5984  lr: 0.0000 
ep/it:402- 133 niter:154100  884m 10s (- 2412m 7s) completed: 26%) loss_emb: 0.0000  loss: 1.4104  loss_TTT: 0.0487  acc: 0.5940  lr: 0.0000 
ep/it:402- 183 niter:154150  884m 27s (- 2411m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.3918  loss_TTT: 0.0479  acc: 0.6002  lr: 0.0000 
ep/it:402- 233 niter:154200  884m 44s (- 2411m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0483  acc: 0.5940  lr: 0.0000 
ep/it:402- 283 niter:154250  885m 0s (- 2411m 11s) completed: 26%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0484  acc: 0.5914  lr: 0.0000 
ep/it:402- 333 niter:154300  885m 17s (- 2410m 52s) completed: 26%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0487  acc: 0.5982  lr: 0.0000 
Validation time:
Validation loss:1.578, accuracy:0.568
ep/it:403-   0 niter:154350  885m 37s (- 2410m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.3920  loss_TTT: 0.0481  acc: 0.5989  lr: 0.0000 
ep/it:403-  50 niter:154400  885m 53s (- 2410m 24s) completed: 26%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0488  acc: 0.5949  lr: 0.0000 
ep/it:403- 100 niter:154450  886m 10s (- 2410m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0480  acc: 0.5971  lr: 0.0000 
ep/it:403- 150 niter:154500  886m 26s (- 2409m 45s) completed: 26%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0480  acc: 0.6019  lr: 0.0000 
ep/it:403- 200 niter:154550  886m 43s (- 2409m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.4266  loss_TTT: 0.0493  acc: 0.5895  lr: 0.0000 
ep/it:403- 250 niter:154600  886m 59s (- 2409m 6s) completed: 26%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0498  acc: 0.5976  lr: 0.0000 
ep/it:403- 300 niter:154650  887m 15s (- 2408m 46s) completed: 26%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0502  acc: 0.6017  lr: 0.0000 
ep/it:403- 350 niter:154700  887m 32s (- 2408m 28s) completed: 26%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0495  acc: 0.5945  lr: 0.0000 
Validation time:
Validation loss:1.603, accuracy:0.559
ep/it:404-  17 niter:154750  887m 53s (- 2408m 20s) completed: 26%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0487  acc: 0.5928  lr: 0.0000 
ep/it:404-  67 niter:154800  888m 9s (- 2408m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.4059  loss_TTT: 0.0487  acc: 0.5950  lr: 0.0000 
ep/it:404- 117 niter:154850  888m 26s (- 2407m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0499  acc: 0.5972  lr: 0.0000 
ep/it:404- 167 niter:154900  888m 43s (- 2407m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.3817  loss_TTT: 0.0495  acc: 0.6016  lr: 0.0000 
ep/it:404- 217 niter:154950  888m 59s (- 2407m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.4085  loss_TTT: 0.0472  acc: 0.5941  lr: 0.0000 
ep/it:404- 267 niter:155000  889m 15s (- 2406m 44s) completed: 26%) loss_emb: 0.0000  loss: 1.4149  loss_TTT: 0.0476  acc: 0.5920  lr: 0.0000 
ep/it:404- 317 niter:155050  889m 32s (- 2406m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0492  acc: 0.5979  lr: 0.0000 
ep/it:404- 367 niter:155100  889m 48s (- 2406m 6s) completed: 26%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0501  acc: 0.5966  lr: 0.0000 
Validation time:
Validation loss:1.588, accuracy:0.565
ep/it:405-  34 niter:155150  890m 8s (- 2405m 57s) completed: 27%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0475  acc: 0.5964  lr: 0.0000 
ep/it:405-  84 niter:155200  890m 25s (- 2405m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0492  acc: 0.6019  lr: 0.0000 
ep/it:405- 134 niter:155250  890m 42s (- 2405m 20s) completed: 27%) loss_emb: 0.0000  loss: 1.4065  loss_TTT: 0.0505  acc: 0.5954  lr: 0.0000 
ep/it:405- 184 niter:155300  890m 59s (- 2405m 2s) completed: 27%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0492  acc: 0.5978  lr: 0.0000 
ep/it:405- 234 niter:155350  891m 16s (- 2404m 44s) completed: 27%) loss_emb: 0.0000  loss: 1.3896  loss_TTT: 0.0491  acc: 0.5993  lr: 0.0000 
ep/it:405- 284 niter:155400  891m 32s (- 2404m 25s) completed: 27%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0483  acc: 0.5982  lr: 0.0000 
ep/it:405- 334 niter:155450  891m 49s (- 2404m 7s) completed: 27%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0497  acc: 0.5973  lr: 0.0000 
Validation time:
Validation loss:1.539, accuracy:0.578
ep/it:406-   1 niter:155500  892m 9s (- 2403m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0493  acc: 0.5972  lr: 0.0000 
ep/it:406-  51 niter:155550  892m 26s (- 2403m 40s) completed: 27%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0491  acc: 0.5964  lr: 0.0000 
ep/it:406- 101 niter:155600  892m 42s (- 2403m 19s) completed: 27%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0496  acc: 0.5967  lr: 0.0000 
ep/it:406- 151 niter:155650  892m 58s (- 2402m 59s) completed: 27%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0506  acc: 0.6013  lr: 0.0000 
ep/it:406- 201 niter:155700  893m 14s (- 2402m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0482  acc: 0.5985  lr: 0.0000 
ep/it:406- 251 niter:155750  893m 31s (- 2402m 19s) completed: 27%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0491  acc: 0.5981  lr: 0.0000 
ep/it:406- 301 niter:155800  893m 48s (- 2402m 1s) completed: 27%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0497  acc: 0.5972  lr: 0.0000 
ep/it:406- 351 niter:155850  894m 4s (- 2401m 42s) completed: 27%) loss_emb: 0.0000  loss: 1.4160  loss_TTT: 0.0490  acc: 0.5927  lr: 0.0000 
Validation time:
Validation loss:1.585, accuracy:0.567
ep/it:407-  18 niter:155900  894m 23s (- 2401m 30s) completed: 27%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0492  acc: 0.6065  lr: 0.0000 
ep/it:407-  68 niter:155950  894m 40s (- 2401m 12s) completed: 27%) loss_emb: 0.0000  loss: 1.3908  loss_TTT: 0.0493  acc: 0.5979  lr: 0.0000 
ep/it:407- 118 niter:156000  894m 57s (- 2400m 53s) completed: 27%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0490  acc: 0.5976  lr: 0.0000 
ep/it:407- 168 niter:156050  895m 14s (- 2400m 34s) completed: 27%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0477  acc: 0.6026  lr: 0.0000 
ep/it:407- 218 niter:156100  895m 30s (- 2400m 14s) completed: 27%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0500  acc: 0.5925  lr: 0.0000 
ep/it:407- 268 niter:156150  895m 46s (- 2399m 55s) completed: 27%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0504  acc: 0.5975  lr: 0.0000 
ep/it:407- 318 niter:156200  896m 2s (- 2399m 35s) completed: 27%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0500  acc: 0.5968  lr: 0.0000 
ep/it:407- 368 niter:156250  896m 19s (- 2399m 15s) completed: 27%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0495  acc: 0.5927  lr: 0.0000 
Validation time:
Validation loss:1.576, accuracy:0.568
ep/it:408-  35 niter:156300  896m 38s (- 2399m 5s) completed: 27%) loss_emb: 0.0000  loss: 1.4229  loss_TTT: 0.0508  acc: 0.5907  lr: 0.0000 
ep/it:408-  85 niter:156350  896m 55s (- 2398m 46s) completed: 27%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0494  acc: 0.5939  lr: 0.0000 
ep/it:408- 135 niter:156400  897m 11s (- 2398m 26s) completed: 27%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0486  acc: 0.5969  lr: 0.0000 
ep/it:408- 185 niter:156450  897m 28s (- 2398m 7s) completed: 27%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0506  acc: 0.5950  lr: 0.0000 
ep/it:408- 235 niter:156500  897m 44s (- 2397m 47s) completed: 27%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0488  acc: 0.5917  lr: 0.0000 
ep/it:408- 285 niter:156550  898m 0s (- 2397m 26s) completed: 27%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0463  acc: 0.6003  lr: 0.0000 
ep/it:408- 335 niter:156600  898m 16s (- 2397m 6s) completed: 27%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0483  acc: 0.5915  lr: 0.0000 
Validation time:
Validation loss:1.604, accuracy:0.562
ep/it:409-   2 niter:156650  898m 37s (- 2396m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.4119  loss_TTT: 0.0496  acc: 0.5928  lr: 0.0000 
ep/it:409-  52 niter:156700  898m 53s (- 2396m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.3944  loss_TTT: 0.0482  acc: 0.5973  lr: 0.0000 
ep/it:409- 102 niter:156750  899m 9s (- 2396m 20s) completed: 27%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0482  acc: 0.6018  lr: 0.0000 
ep/it:409- 152 niter:156800  899m 26s (- 2396m 1s) completed: 27%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0483  acc: 0.5987  lr: 0.0000 
ep/it:409- 202 niter:156850  899m 42s (- 2395m 42s) completed: 27%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0506  acc: 0.5961  lr: 0.0000 
ep/it:409- 252 niter:156900  900m 0s (- 2395m 25s) completed: 27%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0485  acc: 0.6053  lr: 0.0000 
ep/it:409- 302 niter:156950  900m 16s (- 2395m 5s) completed: 27%) loss_emb: 0.0000  loss: 1.3893  loss_TTT: 0.0488  acc: 0.5988  lr: 0.0000 
ep/it:409- 352 niter:157000  900m 32s (- 2394m 44s) completed: 27%) loss_emb: 0.0000  loss: 1.3811  loss_TTT: 0.0480  acc: 0.6011  lr: 0.0000 
Validation time:
Validation loss:1.580, accuracy:0.567

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.69it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.71it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.98it/s]
100%|██████████| 47/47 [00:06<00:00,  6.97it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5360498540103436 avg: 2.5360498540103436
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5457814154215157 avg: 2.5409156347159296
--> 	 Eva. Repeat 22 :, FID. 0.0935, Diversity Real. 9.4638, Diversity. 9.8078, R_precision_real. [0.48925781 0.68554688 0.79003906], R_precision. [0.50195312 0.69140625 0.78222656], matching_score_real. 2.9839, matching_score_pred. 2.9652, skate_ratio. 0.0463, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7051 (traj_fail_50cm (Traj err)): 0.4053 (kps_fail_20cm): 0.5059 (kps_fail_50cm (Loc. err)): 0.2587 (kps_mean_err(m) (Avg. err)): 0.4651 
ep/it:410-  19 niter:157050  901m 0s (- 2394m 57s) completed: 27%) loss_emb: 0.0000  loss: 1.3975  loss_TTT: 0.0500  acc: 0.5971  lr: 0.0000 
ep/it:410-  69 niter:157100  901m 17s (- 2394m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.4008  loss_TTT: 0.0485  acc: 0.5975  lr: 0.0000 
ep/it:410- 119 niter:157150  901m 33s (- 2394m 17s) completed: 27%) loss_emb: 0.0000  loss: 1.3891  loss_TTT: 0.0485  acc: 0.5991  lr: 0.0000 
ep/it:410- 169 niter:157200  901m 49s (- 2393m 59s) completed: 27%) loss_emb: 0.0000  loss: 1.3965  loss_TTT: 0.0488  acc: 0.5971  lr: 0.0000 
ep/it:410- 219 niter:157250  902m 6s (- 2393m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0477  acc: 0.6013  lr: 0.0000 
ep/it:410- 269 niter:157300  902m 22s (- 2393m 19s) completed: 27%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0486  acc: 0.6030  lr: 0.0000 
ep/it:410- 319 niter:157350  902m 38s (- 2392m 59s) completed: 27%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0476  acc: 0.5973  lr: 0.0000 
ep/it:410- 369 niter:157400  902m 54s (- 2392m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.3988  loss_TTT: 0.0490  acc: 0.5957  lr: 0.0000 
Validation time:
Validation loss:1.608, accuracy:0.560
ep/it:411-  36 niter:157450  903m 14s (- 2392m 29s) completed: 27%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0486  acc: 0.5963  lr: 0.0000 
ep/it:411-  86 niter:157500  903m 30s (- 2392m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.3853  loss_TTT: 0.0466  acc: 0.6010  lr: 0.0000 
ep/it:411- 136 niter:157550  903m 48s (- 2391m 52s) completed: 27%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0502  acc: 0.5885  lr: 0.0000 
ep/it:411- 186 niter:157600  904m 4s (- 2391m 33s) completed: 27%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0497  acc: 0.6007  lr: 0.0000 
ep/it:411- 236 niter:157650  904m 20s (- 2391m 13s) completed: 27%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0494  acc: 0.5962  lr: 0.0000 
ep/it:411- 286 niter:157700  904m 37s (- 2390m 55s) completed: 27%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0489  acc: 0.5993  lr: 0.0000 
ep/it:411- 336 niter:157750  904m 54s (- 2390m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.3980  loss_TTT: 0.0491  acc: 0.5976  lr: 0.0000 
Validation time:
Validation loss:1.615, accuracy:0.559