nohup: ignoring input
------------ Options -------------
batch_size: 64
checkpoints_dir: ./checkpoints
cond_drop_prob: 0.1
control: trajectory
ctrl_loss: 0.5
dataset_name: t2m
dropout: 0.2
eval_every_e: 10
ff_size: 1024
force_mask: False
gamma: 0.1
gpu_id: 0
gumbel_sample: False
is_continue: False
is_train: True
latent_dim: 384
log_every: 50
lr: 0.0002
max_epoch: 1500
max_motion_length: 196
milestones: [50000]
n_heads: 6
n_layers: 20
name: 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: 131.31M
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<00:11,  4.01it/s]
 34%|███▍      | 16/47 [00:03<00:07,  4.11it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.06it/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:  3.1721059908159077 avg: 3.1721059908159077
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4558735536411405 avg: 2.813989772228524
--> 	 Eva. Repeat 0 :, FID. 0.2536, Diversity Real. 9.3766, Diversity. 9.9876, R_precision_real. [0.51269531 0.71289062 0.81445312], R_precision. [0.46191406 0.64648438 0.74023438], matching_score_real. 2.8909, matching_score_pred. 3.4221, skate_ratio. 0.0385, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.7139 (traj_fail_50cm (Traj err)): 0.5225 (kps_fail_20cm): 0.5922 (kps_fail_50cm (Loc. err)): 0.3861 (kps_mean_err(m) (Avg. err)): 0.7215 
ep/it: 0-  49 niter:    50  0m 21s (- 4083m 26s) completed:  0%) loss_emb: 0.0000  loss: 1.5629  loss_TTT: 0.0653  acc: 0.5827  lr: 0.0000 
ep/it: 0-  99 niter:   100  0m 35s (- 3353m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5592  loss_TTT: 0.0646  acc: 0.5762  lr: 0.0000 
ep/it: 0- 149 niter:   150  0m 48s (- 3094m 52s) completed:  0%) loss_emb: 0.0000  loss: 1.4868  loss_TTT: 0.0629  acc: 0.5919  lr: 0.0000 
ep/it: 0- 199 niter:   200  1m 1s (- 2958m 30s) completed:  0%) loss_emb: 0.0000  loss: 1.5386  loss_TTT: 0.0655  acc: 0.5769  lr: 0.0000 
ep/it: 0- 249 niter:   250  1m 15s (- 2889m 4s) completed:  0%) loss_emb: 0.0000  loss: 1.5133  loss_TTT: 0.0622  acc: 0.5841  lr: 0.0000 
ep/it: 0- 299 niter:   300  1m 29s (- 2850m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.5176  loss_TTT: 0.0603  acc: 0.5801  lr: 0.0000 
ep/it: 0- 349 niter:   350  1m 42s (- 2813m 52s) completed:  0%) loss_emb: 0.0000  loss: 1.5256  loss_TTT: 0.0652  acc: 0.5806  lr: 0.0000 
Validation time:
Validation loss:1.780, accuracy:0.539
Improved accuracy from 0.00 to 0.539091213889744!!!
ep/it: 1-  16 niter:   400  1m 59s (- 2855m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.5104  loss_TTT: 0.0626  acc: 0.5834  lr: 0.0000 
ep/it: 1-  66 niter:   450  2m 13s (- 2836m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5256  loss_TTT: 0.0644  acc: 0.5800  lr: 0.0000 
ep/it: 1- 116 niter:   500  2m 27s (- 2824m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.5151  loss_TTT: 0.0613  acc: 0.5838  lr: 0.0000 
ep/it: 1- 166 niter:   550  2m 41s (- 2814m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.5352  loss_TTT: 0.0599  acc: 0.5760  lr: 0.0001 
ep/it: 1- 216 niter:   600  2m 55s (- 2802m 10s) completed:  0%) loss_emb: 0.0000  loss: 1.5415  loss_TTT: 0.0659  acc: 0.5770  lr: 0.0001 
ep/it: 1- 266 niter:   650  3m 9s (- 2792m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.5475  loss_TTT: 0.0596  acc: 0.5741  lr: 0.0001 
ep/it: 1- 316 niter:   700  3m 23s (- 2782m 7s) completed:  0%) loss_emb: 0.0000  loss: 1.5275  loss_TTT: 0.0631  acc: 0.5804  lr: 0.0001 
ep/it: 1- 366 niter:   750  3m 37s (- 2773m 41s) completed:  0%) loss_emb: 0.0000  loss: 1.5378  loss_TTT: 0.0607  acc: 0.5767  lr: 0.0001 
Validation time:
Validation loss:1.749, accuracy:0.544
Improved accuracy from 0.54 to 0.5439615042313285!!!
ep/it: 2-  33 niter:   800  3m 54s (- 2801m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.5281  loss_TTT: 0.0607  acc: 0.5775  lr: 0.0001 
ep/it: 2-  83 niter:   850  4m 8s (- 2792m 46s) completed:  0%) loss_emb: 0.0000  loss: 1.5157  loss_TTT: 0.0612  acc: 0.5819  lr: 0.0001 
ep/it: 2- 133 niter:   900  4m 22s (- 2789m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5333  loss_TTT: 0.0607  acc: 0.5779  lr: 0.0001 
ep/it: 2- 183 niter:   950  4m 37s (- 2787m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5391  loss_TTT: 0.0636  acc: 0.5775  lr: 0.0001 
ep/it: 2- 233 niter:  1000  4m 51s (- 2781m 47s) completed:  0%) loss_emb: 0.0000  loss: 1.5192  loss_TTT: 0.0611  acc: 0.5813  lr: 0.0001 
ep/it: 2- 283 niter:  1050  5m 5s (- 2780m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5123  loss_TTT: 0.0626  acc: 0.5850  lr: 0.0001 
ep/it: 2- 333 niter:  1100  5m 19s (- 2776m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.5028  loss_TTT: 0.0592  acc: 0.5861  lr: 0.0001 
Validation time:
Validation loss:1.758, accuracy:0.545
Improved accuracy from 0.54 to 0.5454086130080016!!!
ep/it: 3-   0 niter:  1150  5m 36s (- 2798m 10s) completed:  0%) loss_emb: 0.0000  loss: 1.4919  loss_TTT: 0.0581  acc: 0.5884  lr: 0.0001 
ep/it: 3-  50 niter:  1200  5m 50s (- 2792m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.5410  loss_TTT: 0.0597  acc: 0.5766  lr: 0.0001 
ep/it: 3- 100 niter:  1250  6m 4s (- 2786m 13s) completed:  0%) loss_emb: 0.0000  loss: 1.5410  loss_TTT: 0.0598  acc: 0.5775  lr: 0.0001 
ep/it: 3- 150 niter:  1300  6m 18s (- 2781m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5300  loss_TTT: 0.0616  acc: 0.5808  lr: 0.0001 
ep/it: 3- 200 niter:  1350  6m 32s (- 2775m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.5038  loss_TTT: 0.0603  acc: 0.5858  lr: 0.0001 
ep/it: 3- 250 niter:  1400  6m 46s (- 2770m 21s) completed:  0%) loss_emb: 0.0000  loss: 1.5394  loss_TTT: 0.0617  acc: 0.5775  lr: 0.0001 
ep/it: 3- 300 niter:  1450  7m 0s (- 2767m 10s) completed:  0%) loss_emb: 0.0000  loss: 1.5171  loss_TTT: 0.0572  acc: 0.5813  lr: 0.0001 
ep/it: 3- 350 niter:  1500  7m 13s (- 2761m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.5057  loss_TTT: 0.0619  acc: 0.5859  lr: 0.0001 
Validation time:
Validation loss:1.771, accuracy:0.542
ep/it: 4-  17 niter:  1550  7m 30s (- 2777m 56s) completed:  0%) loss_emb: 0.0000  loss: 1.5184  loss_TTT: 0.0575  acc: 0.5814  lr: 0.0002 
ep/it: 4-  67 niter:  1600  7m 45s (- 2779m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5274  loss_TTT: 0.0572  acc: 0.5788  lr: 0.0002 
ep/it: 4- 117 niter:  1650  8m 0s (- 2778m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5304  loss_TTT: 0.0611  acc: 0.5800  lr: 0.0002 
ep/it: 4- 167 niter:  1700  8m 14s (- 2777m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.5447  loss_TTT: 0.0597  acc: 0.5751  lr: 0.0002 
ep/it: 4- 217 niter:  1750  8m 29s (- 2778m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.5413  loss_TTT: 0.0592  acc: 0.5752  lr: 0.0002 
ep/it: 4- 267 niter:  1800  8m 43s (- 2778m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5304  loss_TTT: 0.0601  acc: 0.5786  lr: 0.0002 
ep/it: 4- 317 niter:  1850  8m 58s (- 2778m 1s) completed:  0%) loss_emb: 0.0000  loss: 1.5095  loss_TTT: 0.0566  acc: 0.5841  lr: 0.0002 
ep/it: 4- 367 niter:  1900  9m 13s (- 2779m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5342  loss_TTT: 0.0623  acc: 0.5782  lr: 0.0002 
Validation time:
Validation loss:1.747, accuracy:0.547
Improved accuracy from 0.55 to 0.547170956497607!!!
ep/it: 5-  34 niter:  1950  9m 30s (- 2790m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5504  loss_TTT: 0.0604  acc: 0.5737  lr: 0.0002 
ep/it: 5-  84 niter:  2000  9m 44s (- 2789m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.4906  loss_TTT: 0.0592  acc: 0.5875  lr: 0.0002 
ep/it: 5- 134 niter:  2050  9m 59s (- 2789m 19s) completed:  0%) loss_emb: 0.0000  loss: 1.5189  loss_TTT: 0.0594  acc: 0.5808  lr: 0.0002 
ep/it: 5- 184 niter:  2100  10m 13s (- 2786m 48s) completed:  0%) loss_emb: 0.0000  loss: 1.5270  loss_TTT: 0.0570  acc: 0.5806  lr: 0.0002 
ep/it: 5- 234 niter:  2150  10m 27s (- 2782m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.5225  loss_TTT: 0.0581  acc: 0.5796  lr: 0.0002 
ep/it: 5- 284 niter:  2200  10m 41s (- 2781m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.5046  loss_TTT: 0.0585  acc: 0.5841  lr: 0.0002 
ep/it: 5- 334 niter:  2250  10m 55s (- 2779m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.5257  loss_TTT: 0.0601  acc: 0.5775  lr: 0.0002 
Validation time:
Validation loss:1.718, accuracy:0.549
Improved accuracy from 0.55 to 0.5487037871194922!!!
ep/it: 6-   1 niter:  2300  11m 12s (- 2788m 7s) completed:  0%) loss_emb: 0.0000  loss: 1.5628  loss_TTT: 0.0588  acc: 0.5693  lr: 0.0002 
ep/it: 6-  51 niter:  2350  11m 26s (- 2785m 30s) completed:  0%) loss_emb: 0.0000  loss: 1.5233  loss_TTT: 0.0606  acc: 0.5804  lr: 0.0002 
ep/it: 6- 101 niter:  2400  11m 40s (- 2782m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.5158  loss_TTT: 0.0604  acc: 0.5809  lr: 0.0002 
ep/it: 6- 151 niter:  2450  11m 53s (- 2778m 4s) completed:  0%) loss_emb: 0.0000  loss: 1.5318  loss_TTT: 0.0629  acc: 0.5791  lr: 0.0002 
ep/it: 6- 201 niter:  2500  12m 7s (- 2775m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.5286  loss_TTT: 0.0604  acc: 0.5784  lr: 0.0002 
ep/it: 6- 251 niter:  2550  12m 22s (- 2774m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.5211  loss_TTT: 0.0602  acc: 0.5803  lr: 0.0002 
ep/it: 6- 301 niter:  2600  12m 35s (- 2771m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.5381  loss_TTT: 0.0613  acc: 0.5770  lr: 0.0002 
ep/it: 6- 351 niter:  2650  12m 49s (- 2768m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.5224  loss_TTT: 0.0584  acc: 0.5780  lr: 0.0002 
Validation time:
Validation loss:1.751, accuracy:0.543
ep/it: 7-  18 niter:  2700  13m 6s (- 2774m 50s) completed:  0%) loss_emb: 0.0000  loss: 1.5235  loss_TTT: 0.0619  acc: 0.5785  lr: 0.0002 
ep/it: 7-  68 niter:  2750  13m 20s (- 2772m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.4890  loss_TTT: 0.0582  acc: 0.5869  lr: 0.0002 
ep/it: 7- 118 niter:  2800  13m 34s (- 2770m 56s) completed:  0%) loss_emb: 0.0000  loss: 1.5081  loss_TTT: 0.0571  acc: 0.5834  lr: 0.0002 
ep/it: 7- 168 niter:  2850  13m 48s (- 2769m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.4990  loss_TTT: 0.0584  acc: 0.5835  lr: 0.0002 
ep/it: 7- 218 niter:  2900  14m 2s (- 2766m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5122  loss_TTT: 0.0574  acc: 0.5797  lr: 0.0002 
ep/it: 7- 268 niter:  2950  14m 16s (- 2765m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5150  loss_TTT: 0.0593  acc: 0.5804  lr: 0.0002 
ep/it: 7- 318 niter:  3000  14m 30s (- 2765m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.5258  loss_TTT: 0.0599  acc: 0.5795  lr: 0.0002 
ep/it: 7- 368 niter:  3050  14m 45s (- 2763m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5122  loss_TTT: 0.0552  acc: 0.5803  lr: 0.0002 
Validation time:
Validation loss:1.708, accuracy:0.551
Improved accuracy from 0.55 to 0.5508301491322725!!!
ep/it: 8-  35 niter:  3100  15m 2s (- 2772m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.4574  loss_TTT: 0.0537  acc: 0.5944  lr: 0.0002 
ep/it: 8-  85 niter:  3150  15m 16s (- 2770m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.5118  loss_TTT: 0.0570  acc: 0.5816  lr: 0.0002 
ep/it: 8- 135 niter:  3200  15m 30s (- 2768m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.5225  loss_TTT: 0.0572  acc: 0.5785  lr: 0.0002 
ep/it: 8- 185 niter:  3250  15m 44s (- 2766m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.5167  loss_TTT: 0.0553  acc: 0.5794  lr: 0.0002 
ep/it: 8- 235 niter:  3300  15m 58s (- 2764m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5124  loss_TTT: 0.0562  acc: 0.5799  lr: 0.0002 
ep/it: 8- 285 niter:  3350  16m 12s (- 2762m 51s) completed:  0%) loss_emb: 0.0000  loss: 1.5145  loss_TTT: 0.0586  acc: 0.5790  lr: 0.0002 
ep/it: 8- 335 niter:  3400  16m 26s (- 2760m 41s) completed:  0%) loss_emb: 0.0000  loss: 1.5201  loss_TTT: 0.0587  acc: 0.5780  lr: 0.0002 
Validation time:
Validation loss:1.696, accuracy:0.553
Improved accuracy from 0.55 to 0.5532813175864841!!!
ep/it: 9-   2 niter:  3450  16m 42s (- 2766m 42s) completed:  0%) loss_emb: 0.0000  loss: 1.5103  loss_TTT: 0.0576  acc: 0.5800  lr: 0.0002 
ep/it: 9-  52 niter:  3500  16m 57s (- 2765m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.5024  loss_TTT: 0.0556  acc: 0.5829  lr: 0.0002 
ep/it: 9- 102 niter:  3550  17m 11s (- 2763m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.4797  loss_TTT: 0.0578  acc: 0.5887  lr: 0.0002 
ep/it: 9- 152 niter:  3600  17m 25s (- 2762m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.4871  loss_TTT: 0.0559  acc: 0.5854  lr: 0.0002 
ep/it: 9- 202 niter:  3650  17m 39s (- 2760m 44s) completed:  0%) loss_emb: 0.0000  loss: 1.5165  loss_TTT: 0.0598  acc: 0.5787  lr: 0.0002 
ep/it: 9- 252 niter:  3700  17m 52s (- 2758m 26s) completed:  0%) loss_emb: 0.0000  loss: 1.5249  loss_TTT: 0.0563  acc: 0.5772  lr: 0.0002 
ep/it: 9- 302 niter:  3750  18m 6s (- 2756m 47s) completed:  0%) loss_emb: 0.0000  loss: 1.4939  loss_TTT: 0.0565  acc: 0.5846  lr: 0.0002 
ep/it: 9- 352 niter:  3800  18m 20s (- 2755m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.5217  loss_TTT: 0.0577  acc: 0.5766  lr: 0.0002 
Validation time:
Validation loss:1.752, accuracy:0.539
ep/it:10-  19 niter:  3850  18m 37s (- 2760m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5031  loss_TTT: 0.0551  acc: 0.5835  lr: 0.0002 
ep/it:10-  69 niter:  3900  18m 52s (- 2760m 46s) completed:  0%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0547  acc: 0.5898  lr: 0.0002 
ep/it:10- 119 niter:  3950  19m 7s (- 2762m 36s) completed:  0%) loss_emb: 0.0000  loss: 1.4761  loss_TTT: 0.0528  acc: 0.5886  lr: 0.0002 
ep/it:10- 169 niter:  4000  19m 22s (- 2763m 48s) completed:  0%) loss_emb: 0.0000  loss: 1.4588  loss_TTT: 0.0553  acc: 0.5935  lr: 0.0002 
ep/it:10- 219 niter:  4050  19m 37s (- 2764m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.4921  loss_TTT: 0.0580  acc: 0.5867  lr: 0.0002 
ep/it:10- 269 niter:  4100  19m 52s (- 2764m 50s) completed:  0%) loss_emb: 0.0000  loss: 1.4763  loss_TTT: 0.0573  acc: 0.5890  lr: 0.0002 
ep/it:10- 319 niter:  4150  20m 7s (- 2764m 47s) completed:  0%) loss_emb: 0.0000  loss: 1.4722  loss_TTT: 0.0587  acc: 0.5900  lr: 0.0002 
ep/it:10- 369 niter:  4200  20m 21s (- 2764m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.5174  loss_TTT: 0.0576  acc: 0.5783  lr: 0.0002 
Validation time:
Validation loss:1.702, accuracy:0.550
ep/it:11-  36 niter:  4250  20m 39s (- 2770m 45s) completed:  0%) loss_emb: 0.0000  loss: 1.5001  loss_TTT: 0.0537  acc: 0.5836  lr: 0.0002 
ep/it:11-  86 niter:  4300  20m 53s (- 2770m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.4961  loss_TTT: 0.0521  acc: 0.5809  lr: 0.0002 
ep/it:11- 136 niter:  4350  21m 7s (- 2769m 50s) completed:  0%) loss_emb: 0.0000  loss: 1.4717  loss_TTT: 0.0545  acc: 0.5894  lr: 0.0002 
ep/it:11- 186 niter:  4400  21m 22s (- 2770m 19s) completed:  0%) loss_emb: 0.0000  loss: 1.5105  loss_TTT: 0.0524  acc: 0.5777  lr: 0.0002 
ep/it:11- 236 niter:  4450  21m 37s (- 2770m 42s) completed:  0%) loss_emb: 0.0000  loss: 1.4995  loss_TTT: 0.0551  acc: 0.5837  lr: 0.0002 
ep/it:11- 286 niter:  4500  21m 52s (- 2770m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.4661  loss_TTT: 0.0533  acc: 0.5901  lr: 0.0002 
ep/it:11- 336 niter:  4550  22m 7s (- 2771m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.4763  loss_TTT: 0.0528  acc: 0.5867  lr: 0.0002 
Validation time:
Validation loss:1.706, accuracy:0.549
ep/it:12-   3 niter:  4600  22m 24s (- 2777m 10s) completed:  0%) loss_emb: 0.0000  loss: 1.4644  loss_TTT: 0.0519  acc: 0.5917  lr: 0.0002 
ep/it:12-  53 niter:  4650  22m 39s (- 2776m 1s) completed:  0%) loss_emb: 0.0000  loss: 1.4976  loss_TTT: 0.0509  acc: 0.5817  lr: 0.0002 
ep/it:12- 103 niter:  4700  22m 53s (- 2775m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.4832  loss_TTT: 0.0531  acc: 0.5848  lr: 0.0002 
ep/it:12- 153 niter:  4750  23m 8s (- 2775m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.4803  loss_TTT: 0.0514  acc: 0.5858  lr: 0.0002 
ep/it:12- 203 niter:  4800  23m 22s (- 2773m 25s) completed:  0%) loss_emb: 0.0000  loss: 1.4997  loss_TTT: 0.0521  acc: 0.5812  lr: 0.0002 
ep/it:12- 253 niter:  4850  23m 36s (- 2772m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.4591  loss_TTT: 0.0506  acc: 0.5908  lr: 0.0002 
ep/it:12- 303 niter:  4900  23m 49s (- 2770m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.4514  loss_TTT: 0.0548  acc: 0.5939  lr: 0.0002 
ep/it:12- 353 niter:  4950  24m 3s (- 2768m 34s) completed:  0%) loss_emb: 0.0000  loss: 1.4791  loss_TTT: 0.0559  acc: 0.5859  lr: 0.0002 
Validation time:
Validation loss:1.719, accuracy:0.546
ep/it:13-  20 niter:  5000  24m 20s (- 2772m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.4911  loss_TTT: 0.0559  acc: 0.5848  lr: 0.0002 
ep/it:13-  70 niter:  5050  24m 35s (- 2772m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.4866  loss_TTT: 0.0561  acc: 0.5838  lr: 0.0002 
ep/it:13- 120 niter:  5100  24m 49s (- 2771m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.4493  loss_TTT: 0.0530  acc: 0.5932  lr: 0.0002 
ep/it:13- 170 niter:  5150  25m 3s (- 2769m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.4770  loss_TTT: 0.0535  acc: 0.5857  lr: 0.0002 
ep/it:13- 220 niter:  5200  25m 17s (- 2768m 7s) completed:  0%) loss_emb: 0.0000  loss: 1.4942  loss_TTT: 0.0542  acc: 0.5816  lr: 0.0002 
ep/it:13- 270 niter:  5250  25m 30s (- 2766m 13s) completed:  0%) loss_emb: 0.0000  loss: 1.4675  loss_TTT: 0.0525  acc: 0.5870  lr: 0.0002 
ep/it:13- 320 niter:  5300  25m 44s (- 2764m 45s) completed:  0%) loss_emb: 0.0000  loss: 1.4948  loss_TTT: 0.0527  acc: 0.5813  lr: 0.0002 
ep/it:13- 370 niter:  5350  25m 58s (- 2763m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.4903  loss_TTT: 0.0538  acc: 0.5823  lr: 0.0002 
Validation time:
Validation loss:1.703, accuracy:0.548
ep/it:14-  37 niter:  5400  26m 15s (- 2766m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.4910  loss_TTT: 0.0521  acc: 0.5826  lr: 0.0002 
ep/it:14-  87 niter:  5450  26m 29s (- 2765m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.4825  loss_TTT: 0.0522  acc: 0.5850  lr: 0.0002 
ep/it:14- 137 niter:  5500  26m 43s (- 2764m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.4672  loss_TTT: 0.0527  acc: 0.5885  lr: 0.0002 
ep/it:14- 187 niter:  5550  26m 57s (- 2763m 26s) completed:  0%) loss_emb: 0.0000  loss: 1.4858  loss_TTT: 0.0542  acc: 0.5829  lr: 0.0002 
ep/it:14- 237 niter:  5600  27m 11s (- 2761m 44s) completed:  0%) loss_emb: 0.0000  loss: 1.4885  loss_TTT: 0.0564  acc: 0.5837  lr: 0.0002 
ep/it:14- 287 niter:  5650  27m 25s (- 2760m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.4777  loss_TTT: 0.0517  acc: 0.5857  lr: 0.0002 
ep/it:14- 337 niter:  5700  27m 38s (- 2759m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.4848  loss_TTT: 0.0526  acc: 0.5836  lr: 0.0002 
Validation time:
Validation loss:1.677, accuracy:0.557
Improved accuracy from 0.55 to 0.5568633364594501!!!
ep/it:15-   4 niter:  5750  27m 55s (- 2762m 30s) completed:  1%) loss_emb: 0.0000  loss: 1.4918  loss_TTT: 0.0545  acc: 0.5828  lr: 0.0002 
ep/it:15-  54 niter:  5800  28m 9s (- 2761m 27s) completed:  1%) loss_emb: 0.0000  loss: 1.4887  loss_TTT: 0.0555  acc: 0.5840  lr: 0.0002 
ep/it:15- 104 niter:  5850  28m 23s (- 2760m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.5002  loss_TTT: 0.0535  acc: 0.5798  lr: 0.0002 
ep/it:15- 154 niter:  5900  28m 37s (- 2758m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4741  loss_TTT: 0.0505  acc: 0.5841  lr: 0.0002 
ep/it:15- 204 niter:  5950  28m 51s (- 2757m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.4804  loss_TTT: 0.0498  acc: 0.5837  lr: 0.0002 
ep/it:15- 254 niter:  6000  29m 5s (- 2756m 22s) completed:  1%) loss_emb: 0.0000  loss: 1.4900  loss_TTT: 0.0522  acc: 0.5803  lr: 0.0002 
ep/it:15- 304 niter:  6050  29m 19s (- 2755m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4290  loss_TTT: 0.0502  acc: 0.5981  lr: 0.0002 
ep/it:15- 354 niter:  6100  29m 34s (- 2755m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.4809  loss_TTT: 0.0515  acc: 0.5837  lr: 0.0002 
Validation time:
Validation loss:1.686, accuracy:0.552
ep/it:16-  21 niter:  6150  29m 50s (- 2758m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4759  loss_TTT: 0.0515  acc: 0.5850  lr: 0.0002 
ep/it:16-  71 niter:  6200  30m 4s (- 2756m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4467  loss_TTT: 0.0519  acc: 0.5927  lr: 0.0002 
ep/it:16- 121 niter:  6250  30m 18s (- 2755m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.4711  loss_TTT: 0.0510  acc: 0.5862  lr: 0.0002 
ep/it:16- 171 niter:  6300  30m 32s (- 2754m 20s) completed:  1%) loss_emb: 0.0000  loss: 1.4719  loss_TTT: 0.0513  acc: 0.5847  lr: 0.0002 
ep/it:16- 221 niter:  6350  30m 46s (- 2752m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4571  loss_TTT: 0.0477  acc: 0.5889  lr: 0.0002 
ep/it:16- 271 niter:  6400  31m 0s (- 2752m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4839  loss_TTT: 0.0527  acc: 0.5839  lr: 0.0002 
ep/it:16- 321 niter:  6450  31m 14s (- 2752m 6s) completed:  1%) loss_emb: 0.0000  loss: 1.4551  loss_TTT: 0.0530  acc: 0.5914  lr: 0.0002 
ep/it:16- 371 niter:  6500  31m 28s (- 2750m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4427  loss_TTT: 0.0508  acc: 0.5946  lr: 0.0002 
Validation time:
Validation loss:1.628, accuracy:0.564
Improved accuracy from 0.56 to 0.5639596762864486!!!
ep/it:17-  38 niter:  6550  31m 45s (- 2754m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4434  loss_TTT: 0.0499  acc: 0.5925  lr: 0.0002 
ep/it:17-  88 niter:  6600  32m 0s (- 2753m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0511  acc: 0.5927  lr: 0.0002 
ep/it:17- 138 niter:  6650  32m 14s (- 2752m 47s) completed:  1%) loss_emb: 0.0000  loss: 1.4674  loss_TTT: 0.0500  acc: 0.5872  lr: 0.0002 
ep/it:17- 188 niter:  6700  32m 28s (- 2751m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4607  loss_TTT: 0.0506  acc: 0.5879  lr: 0.0002 
ep/it:17- 238 niter:  6750  32m 42s (- 2750m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0500  acc: 0.5975  lr: 0.0002 
ep/it:17- 288 niter:  6800  32m 56s (- 2750m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4533  loss_TTT: 0.0484  acc: 0.5889  lr: 0.0002 
ep/it:17- 338 niter:  6850  33m 10s (- 2749m 18s) completed:  1%) loss_emb: 0.0000  loss: 1.4746  loss_TTT: 0.0524  acc: 0.5843  lr: 0.0002 
Validation time:
Validation loss:1.638, accuracy:0.560
ep/it:18-   5 niter:  6900  33m 27s (- 2751m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4542  loss_TTT: 0.0514  acc: 0.5910  lr: 0.0002 
ep/it:18-  55 niter:  6950  33m 41s (- 2750m 40s) completed:  1%) loss_emb: 0.0000  loss: 1.4675  loss_TTT: 0.0512  acc: 0.5863  lr: 0.0002 
ep/it:18- 105 niter:  7000  33m 54s (- 2749m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.4453  loss_TTT: 0.0523  acc: 0.5910  lr: 0.0002 
ep/it:18- 155 niter:  7050  34m 9s (- 2748m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4714  loss_TTT: 0.0518  acc: 0.5860  lr: 0.0002 
ep/it:18- 205 niter:  7100  34m 23s (- 2747m 47s) completed:  1%) loss_emb: 0.0000  loss: 1.4530  loss_TTT: 0.0494  acc: 0.5903  lr: 0.0002 
ep/it:18- 255 niter:  7150  34m 36s (- 2746m 34s) completed:  1%) loss_emb: 0.0000  loss: 1.4726  loss_TTT: 0.0516  acc: 0.5850  lr: 0.0002 
ep/it:18- 305 niter:  7200  34m 50s (- 2745m 29s) completed:  1%) loss_emb: 0.0000  loss: 1.4662  loss_TTT: 0.0548  acc: 0.5860  lr: 0.0002 
ep/it:18- 355 niter:  7250  35m 4s (- 2744m 43s) completed:  1%) loss_emb: 0.0000  loss: 1.4444  loss_TTT: 0.0517  acc: 0.5922  lr: 0.0002 
Validation time:
Validation loss:1.630, accuracy:0.563
ep/it:19-  22 niter:  7300  35m 21s (- 2747m 15s) completed:  1%) loss_emb: 0.0000  loss: 1.4570  loss_TTT: 0.0502  acc: 0.5875  lr: 0.0002 
ep/it:19-  72 niter:  7350  35m 35s (- 2746m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.4684  loss_TTT: 0.0480  acc: 0.5860  lr: 0.0002 
ep/it:19- 122 niter:  7400  35m 49s (- 2745m 40s) completed:  1%) loss_emb: 0.0000  loss: 1.4450  loss_TTT: 0.0470  acc: 0.5899  lr: 0.0002 
ep/it:19- 172 niter:  7450  36m 4s (- 2745m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.4446  loss_TTT: 0.0506  acc: 0.5915  lr: 0.0002 
ep/it:19- 222 niter:  7500  36m 18s (- 2745m 1s) completed:  1%) loss_emb: 0.0000  loss: 1.4528  loss_TTT: 0.0503  acc: 0.5896  lr: 0.0002 
ep/it:19- 272 niter:  7550  36m 34s (- 2746m 16s) completed:  1%) loss_emb: 0.0000  loss: 1.4826  loss_TTT: 0.0530  acc: 0.5813  lr: 0.0002 
ep/it:19- 322 niter:  7600  36m 48s (- 2745m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.4560  loss_TTT: 0.0507  acc: 0.5902  lr: 0.0002 
ep/it:19- 372 niter:  7650  37m 2s (- 2745m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4337  loss_TTT: 0.0489  acc: 0.5942  lr: 0.0002 
Validation time:
Validation loss:1.622, accuracy:0.563
ep/it:20-  39 niter:  7700  37m 19s (- 2747m 44s) completed:  1%) loss_emb: 0.0000  loss: 1.4556  loss_TTT: 0.0490  acc: 0.5890  lr: 0.0002 
ep/it:20-  89 niter:  7750  37m 33s (- 2746m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4851  loss_TTT: 0.0532  acc: 0.5812  lr: 0.0002 
ep/it:20- 139 niter:  7800  37m 47s (- 2745m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.4572  loss_TTT: 0.0511  acc: 0.5882  lr: 0.0002 
ep/it:20- 189 niter:  7850  38m 1s (- 2744m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4677  loss_TTT: 0.0501  acc: 0.5864  lr: 0.0002 
ep/it:20- 239 niter:  7900  38m 15s (- 2744m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4588  loss_TTT: 0.0492  acc: 0.5869  lr: 0.0002 
ep/it:20- 289 niter:  7950  38m 29s (- 2743m 21s) completed:  1%) loss_emb: 0.0000  loss: 1.4664  loss_TTT: 0.0507  acc: 0.5862  lr: 0.0002 
ep/it:20- 339 niter:  8000  38m 43s (- 2742m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4461  loss_TTT: 0.0518  acc: 0.5907  lr: 0.0002 
Validation time:
Validation loss:1.602, accuracy:0.565
Improved accuracy from 0.56 to 0.5650788908419402!!!
ep/it:21-   6 niter:  8050  39m 1s (- 2746m 6s) completed:  1%) loss_emb: 0.0000  loss: 1.4567  loss_TTT: 0.0506  acc: 0.5890  lr: 0.0002 
ep/it:21-  56 niter:  8100  39m 15s (- 2745m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.4565  loss_TTT: 0.0504  acc: 0.5907  lr: 0.0002 
ep/it:21- 106 niter:  8150  39m 29s (- 2744m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0463  acc: 0.5943  lr: 0.0002 
ep/it:21- 156 niter:  8200  39m 44s (- 2744m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4679  loss_TTT: 0.0505  acc: 0.5852  lr: 0.0002 
ep/it:21- 206 niter:  8250  39m 58s (- 2743m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.4327  loss_TTT: 0.0484  acc: 0.5927  lr: 0.0002 
ep/it:21- 256 niter:  8300  40m 12s (- 2742m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4642  loss_TTT: 0.0512  acc: 0.5861  lr: 0.0002 
ep/it:21- 306 niter:  8350  40m 26s (- 2741m 36s) completed:  1%) loss_emb: 0.0000  loss: 1.4414  loss_TTT: 0.0545  acc: 0.5934  lr: 0.0002 
ep/it:21- 356 niter:  8400  40m 39s (- 2740m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4731  loss_TTT: 0.0497  acc: 0.5828  lr: 0.0002 
Validation time:
Validation loss:1.575, accuracy:0.577
Improved accuracy from 0.57 to 0.5766889349274014!!!
ep/it:22-  23 niter:  8450  40m 56s (- 2742m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0474  acc: 0.5949  lr: 0.0002 
ep/it:22-  73 niter:  8500  41m 11s (- 2742m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.4246  loss_TTT: 0.0495  acc: 0.5953  lr: 0.0002 
ep/it:22- 123 niter:  8550  41m 25s (- 2741m 56s) completed:  1%) loss_emb: 0.0000  loss: 1.4608  loss_TTT: 0.0482  acc: 0.5867  lr: 0.0002 
ep/it:22- 173 niter:  8600  41m 39s (- 2741m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0465  acc: 0.5889  lr: 0.0002 
ep/it:22- 223 niter:  8650  41m 54s (- 2740m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4532  loss_TTT: 0.0508  acc: 0.5880  lr: 0.0002 
ep/it:22- 273 niter:  8700  42m 8s (- 2740m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4363  loss_TTT: 0.0513  acc: 0.5919  lr: 0.0002 
ep/it:22- 323 niter:  8750  42m 22s (- 2739m 43s) completed:  1%) loss_emb: 0.0000  loss: 1.4647  loss_TTT: 0.0498  acc: 0.5860  lr: 0.0002 
ep/it:22- 373 niter:  8800  42m 36s (- 2739m 13s) completed:  1%) loss_emb: 0.0000  loss: 1.4682  loss_TTT: 0.0499  acc: 0.5853  lr: 0.0002 
Validation time:
Validation loss:1.625, accuracy:0.561
ep/it:23-  40 niter:  8850  42m 52s (- 2740m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0478  acc: 0.5989  lr: 0.0002 
ep/it:23-  90 niter:  8900  43m 7s (- 2740m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4434  loss_TTT: 0.0494  acc: 0.5915  lr: 0.0002 
ep/it:23- 140 niter:  8950  43m 21s (- 2739m 31s) completed:  1%) loss_emb: 0.0000  loss: 1.4378  loss_TTT: 0.0468  acc: 0.5932  lr: 0.0002 
ep/it:23- 190 niter:  9000  43m 35s (- 2738m 52s) completed:  1%) loss_emb: 0.0000  loss: 1.4740  loss_TTT: 0.0482  acc: 0.5833  lr: 0.0002 
ep/it:23- 240 niter:  9050  43m 49s (- 2738m 41s) completed:  1%) loss_emb: 0.0000  loss: 1.5040  loss_TTT: 0.0519  acc: 0.5747  lr: 0.0002 
ep/it:23- 290 niter:  9100  44m 4s (- 2737m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.4471  loss_TTT: 0.0498  acc: 0.5893  lr: 0.0002 
ep/it:23- 340 niter:  9150  44m 17s (- 2736m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0528  acc: 0.5941  lr: 0.0002 
Validation time:
Validation loss:1.661, accuracy:0.553
ep/it:24-   7 niter:  9200  44m 34s (- 2738m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4417  loss_TTT: 0.0465  acc: 0.5890  lr: 0.0002 
ep/it:24-  57 niter:  9250  44m 48s (- 2738m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.4233  loss_TTT: 0.0495  acc: 0.5952  lr: 0.0002 
ep/it:24- 107 niter:  9300  45m 3s (- 2738m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4475  loss_TTT: 0.0515  acc: 0.5888  lr: 0.0002 
ep/it:24- 157 niter:  9350  45m 17s (- 2737m 37s) completed:  1%) loss_emb: 0.0000  loss: 1.4567  loss_TTT: 0.0473  acc: 0.5880  lr: 0.0002 
ep/it:24- 207 niter:  9400  45m 31s (- 2737m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4702  loss_TTT: 0.0505  acc: 0.5855  lr: 0.0002 
ep/it:24- 257 niter:  9450  45m 46s (- 2736m 36s) completed:  1%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0514  acc: 0.5928  lr: 0.0002 
ep/it:24- 307 niter:  9500  46m 0s (- 2735m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0500  acc: 0.5944  lr: 0.0002 
ep/it:24- 357 niter:  9550  46m 14s (- 2735m 35s) completed:  1%) loss_emb: 0.0000  loss: 1.4573  loss_TTT: 0.0526  acc: 0.5878  lr: 0.0002 
Validation time:
Validation loss:1.624, accuracy:0.560
ep/it:25-  24 niter:  9600  46m 31s (- 2737m 15s) completed:  1%) loss_emb: 0.0000  loss: 1.4314  loss_TTT: 0.0458  acc: 0.5922  lr: 0.0002 
ep/it:25-  74 niter:  9650  46m 44s (- 2736m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.4302  loss_TTT: 0.0484  acc: 0.5936  lr: 0.0002 
ep/it:25- 124 niter:  9700  46m 58s (- 2735m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4466  loss_TTT: 0.0491  acc: 0.5890  lr: 0.0002 
ep/it:25- 174 niter:  9750  47m 12s (- 2734m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0474  acc: 0.5952  lr: 0.0002 
ep/it:25- 224 niter:  9800  47m 26s (- 2734m 3s) completed:  1%) loss_emb: 0.0000  loss: 1.4167  loss_TTT: 0.0487  acc: 0.5968  lr: 0.0002 
ep/it:25- 274 niter:  9850  47m 40s (- 2733m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.4335  loss_TTT: 0.0470  acc: 0.5940  lr: 0.0002 
ep/it:25- 324 niter:  9900  47m 55s (- 2732m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0486  acc: 0.5956  lr: 0.0002 
ep/it:25- 374 niter:  9950  48m 9s (- 2732m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0472  acc: 0.5937  lr: 0.0002 
Validation time:
Validation loss:1.597, accuracy:0.567
ep/it:26-  41 niter: 10000  48m 25s (- 2733m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0505  acc: 0.5929  lr: 0.0002 
ep/it:26-  91 niter: 10050  48m 40s (- 2733m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.4576  loss_TTT: 0.0487  acc: 0.5880  lr: 0.0002 
ep/it:26- 141 niter: 10100  48m 54s (- 2732m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0486  acc: 0.5975  lr: 0.0002 
ep/it:26- 191 niter: 10150  49m 8s (- 2732m 18s) completed:  1%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0498  acc: 0.5897  lr: 0.0002 
ep/it:26- 241 niter: 10200  49m 22s (- 2731m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4470  loss_TTT: 0.0489  acc: 0.5885  lr: 0.0002 
ep/it:26- 291 niter: 10250  49m 36s (- 2730m 58s) completed:  1%) loss_emb: 0.0000  loss: 1.4732  loss_TTT: 0.0535  acc: 0.5846  lr: 0.0002 
ep/it:26- 341 niter: 10300  49m 50s (- 2730m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4612  loss_TTT: 0.0517  acc: 0.5864  lr: 0.0002 
Validation time:
Validation loss:1.633, accuracy:0.560
ep/it:27-   8 niter: 10350  50m 7s (- 2732m 5s) completed:  1%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0480  acc: 0.5971  lr: 0.0002 
ep/it:27-  58 niter: 10400  50m 21s (- 2731m 15s) completed:  1%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0482  acc: 0.5941  lr: 0.0002 
ep/it:27- 108 niter: 10450  50m 35s (- 2731m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0475  acc: 0.5930  lr: 0.0002 
ep/it:27- 158 niter: 10500  50m 50s (- 2730m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0471  acc: 0.5946  lr: 0.0002 
ep/it:27- 208 niter: 10550  51m 4s (- 2730m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.4402  loss_TTT: 0.0476  acc: 0.5908  lr: 0.0002 
ep/it:27- 258 niter: 10600  51m 19s (- 2730m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4361  loss_TTT: 0.0495  acc: 0.5905  lr: 0.0002 
ep/it:27- 308 niter: 10650  51m 34s (- 2730m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0469  acc: 0.5943  lr: 0.0002 
ep/it:27- 358 niter: 10700  51m 48s (- 2729m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4495  loss_TTT: 0.0474  acc: 0.5884  lr: 0.0002 
Validation time:
Validation loss:1.632, accuracy:0.560
ep/it:28-  25 niter: 10750  52m 6s (- 2732m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.4384  loss_TTT: 0.0480  acc: 0.5902  lr: 0.0002 
ep/it:28-  75 niter: 10800  52m 20s (- 2732m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4483  loss_TTT: 0.0496  acc: 0.5889  lr: 0.0002 
ep/it:28- 125 niter: 10850  52m 34s (- 2731m 27s) completed:  1%) loss_emb: 0.0000  loss: 1.4350  loss_TTT: 0.0459  acc: 0.5928  lr: 0.0002 
ep/it:28- 175 niter: 10900  52m 48s (- 2730m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.4432  loss_TTT: 0.0478  acc: 0.5900  lr: 0.0002 
ep/it:28- 225 niter: 10950  53m 2s (- 2729m 52s) completed:  1%) loss_emb: 0.0000  loss: 1.4086  loss_TTT: 0.0469  acc: 0.5987  lr: 0.0002 
ep/it:28- 275 niter: 11000  53m 16s (- 2729m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0466  acc: 0.5962  lr: 0.0002 
ep/it:28- 325 niter: 11050  53m 31s (- 2729m 9s) completed:  1%) loss_emb: 0.0000  loss: 1.4322  loss_TTT: 0.0495  acc: 0.5934  lr: 0.0002 
ep/it:28- 375 niter: 11100  53m 45s (- 2728m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4083  loss_TTT: 0.0455  acc: 0.5984  lr: 0.0002 
Validation time:
Validation loss:1.614, accuracy:0.565
ep/it:29-  42 niter: 11150  54m 3s (- 2730m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4398  loss_TTT: 0.0469  acc: 0.5896  lr: 0.0002 
ep/it:29-  92 niter: 11200  54m 17s (- 2730m 20s) completed:  1%) loss_emb: 0.0000  loss: 1.4398  loss_TTT: 0.0456  acc: 0.5896  lr: 0.0002 
ep/it:29- 142 niter: 11250  54m 31s (- 2729m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4409  loss_TTT: 0.0495  acc: 0.5899  lr: 0.0002 
ep/it:29- 192 niter: 11300  54m 45s (- 2729m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0487  acc: 0.5901  lr: 0.0002 
ep/it:29- 242 niter: 11350  54m 59s (- 2728m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4377  loss_TTT: 0.0491  acc: 0.5913  lr: 0.0002 
ep/it:29- 292 niter: 11400  55m 14s (- 2728m 35s) completed:  1%) loss_emb: 0.0000  loss: 1.4096  loss_TTT: 0.0487  acc: 0.5991  lr: 0.0002 
ep/it:29- 342 niter: 11450  55m 28s (- 2728m 21s) completed:  1%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0482  acc: 0.5947  lr: 0.0002 
Validation time:
Validation loss:1.633, accuracy:0.555
ep/it:30-   9 niter: 11500  55m 45s (- 2729m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4544  loss_TTT: 0.0504  acc: 0.5878  lr: 0.0002 
ep/it:30-  59 niter: 11550  56m 0s (- 2729m 28s) completed:  2%) loss_emb: 0.0000  loss: 1.4526  loss_TTT: 0.0483  acc: 0.5857  lr: 0.0002 
ep/it:30- 109 niter: 11600  56m 14s (- 2728m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0459  acc: 0.5951  lr: 0.0002 
ep/it:30- 159 niter: 11650  56m 28s (- 2728m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4441  loss_TTT: 0.0479  acc: 0.5888  lr: 0.0002 
ep/it:30- 209 niter: 11700  56m 42s (- 2727m 44s) completed:  2%) loss_emb: 0.0000  loss: 1.4054  loss_TTT: 0.0461  acc: 0.5989  lr: 0.0002 
ep/it:30- 259 niter: 11750  56m 56s (- 2727m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0426  acc: 0.5991  lr: 0.0002 
ep/it:30- 309 niter: 11800  57m 10s (- 2726m 36s) completed:  2%) loss_emb: 0.0000  loss: 1.4269  loss_TTT: 0.0479  acc: 0.5927  lr: 0.0002 
ep/it:30- 359 niter: 11850  57m 25s (- 2726m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.4546  loss_TTT: 0.0480  acc: 0.5865  lr: 0.0002 
Validation time:
Validation loss:1.570, accuracy:0.573
ep/it:31-  26 niter: 11900  57m 42s (- 2728m 1s) completed:  2%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0464  acc: 0.5955  lr: 0.0002 
ep/it:31-  76 niter: 11950  57m 56s (- 2727m 31s) completed:  2%) loss_emb: 0.0000  loss: 1.4235  loss_TTT: 0.0457  acc: 0.5943  lr: 0.0002 
ep/it:31- 126 niter: 12000  58m 11s (- 2727m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.4293  loss_TTT: 0.0485  acc: 0.5937  lr: 0.0002 
ep/it:31- 176 niter: 12050  58m 26s (- 2727m 36s) completed:  2%) loss_emb: 0.0000  loss: 1.4313  loss_TTT: 0.0488  acc: 0.5928  lr: 0.0002 
ep/it:31- 226 niter: 12100  58m 41s (- 2727m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0507  acc: 0.5888  lr: 0.0002 
ep/it:31- 276 niter: 12150  58m 55s (- 2727m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4161  loss_TTT: 0.0474  acc: 0.5971  lr: 0.0002 
ep/it:31- 326 niter: 12200  59m 9s (- 2726m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0454  acc: 0.6025  lr: 0.0002 
ep/it:31- 376 niter: 12250  59m 24s (- 2726m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4073  loss_TTT: 0.0465  acc: 0.5984  lr: 0.0002 
Validation time:
Validation loss:1.621, accuracy:0.561
ep/it:32-  43 niter: 12300  59m 41s (- 2728m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0490  acc: 0.5964  lr: 0.0002 
ep/it:32-  93 niter: 12350  59m 56s (- 2728m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4402  loss_TTT: 0.0449  acc: 0.5881  lr: 0.0002 
ep/it:32- 143 niter: 12400  60m 10s (- 2727m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.4489  loss_TTT: 0.0516  acc: 0.5869  lr: 0.0002 
ep/it:32- 193 niter: 12450  60m 24s (- 2727m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.4158  loss_TTT: 0.0490  acc: 0.5967  lr: 0.0002 
ep/it:32- 243 niter: 12500  60m 39s (- 2727m 7s) completed:  2%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0446  acc: 0.6058  lr: 0.0002 
ep/it:32- 293 niter: 12550  60m 53s (- 2726m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0484  acc: 0.5929  lr: 0.0002 
ep/it:32- 343 niter: 12600  61m 8s (- 2726m 36s) completed:  2%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0463  acc: 0.5913  lr: 0.0002 
Validation time:
Validation loss:1.590, accuracy:0.568
ep/it:33-  10 niter: 12650  61m 25s (- 2728m 1s) completed:  2%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0471  acc: 0.6044  lr: 0.0002 
ep/it:33-  60 niter: 12700  61m 39s (- 2727m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4295  loss_TTT: 0.0481  acc: 0.5919  lr: 0.0002 
ep/it:33- 110 niter: 12750  61m 53s (- 2726m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0445  acc: 0.5932  lr: 0.0002 
ep/it:33- 160 niter: 12800  62m 8s (- 2726m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0464  acc: 0.5938  lr: 0.0002 
ep/it:33- 210 niter: 12850  62m 22s (- 2726m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4166  loss_TTT: 0.0495  acc: 0.5970  lr: 0.0002 
ep/it:33- 260 niter: 12900  62m 37s (- 2726m 1s) completed:  2%) loss_emb: 0.0000  loss: 1.4498  loss_TTT: 0.0475  acc: 0.5864  lr: 0.0002 
ep/it:33- 310 niter: 12950  62m 51s (- 2725m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.4332  loss_TTT: 0.0476  acc: 0.5914  lr: 0.0002 
ep/it:33- 360 niter: 13000  63m 5s (- 2725m 24s) completed:  2%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0482  acc: 0.5938  lr: 0.0002 
Validation time:
Validation loss:1.578, accuracy:0.570
ep/it:34-  27 niter: 13050  63m 23s (- 2727m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4112  loss_TTT: 0.0459  acc: 0.5962  lr: 0.0002 
ep/it:34-  77 niter: 13100  63m 38s (- 2727m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4340  loss_TTT: 0.0460  acc: 0.5910  lr: 0.0002 
ep/it:34- 127 niter: 13150  63m 53s (- 2727m 14s) completed:  2%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0450  acc: 0.5964  lr: 0.0002 
ep/it:34- 177 niter: 13200  64m 8s (- 2727m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0473  acc: 0.5935  lr: 0.0002 
ep/it:34- 227 niter: 13250  64m 22s (- 2726m 54s) completed:  2%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0465  acc: 0.5905  lr: 0.0002 
ep/it:34- 277 niter: 13300  64m 37s (- 2726m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0447  acc: 0.5986  lr: 0.0002 
ep/it:34- 327 niter: 13350  64m 51s (- 2726m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4386  loss_TTT: 0.0471  acc: 0.5903  lr: 0.0002 
ep/it:34- 377 niter: 13400  65m 6s (- 2726m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4610  loss_TTT: 0.0491  acc: 0.5843  lr: 0.0002 
Validation time:
Validation loss:1.674, accuracy:0.546
ep/it:35-  44 niter: 13450  65m 24s (- 2728m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0453  acc: 0.5918  lr: 0.0002 
ep/it:35-  94 niter: 13500  65m 38s (- 2727m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4241  loss_TTT: 0.0454  acc: 0.5935  lr: 0.0002 
ep/it:35- 144 niter: 13550  65m 53s (- 2727m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4053  loss_TTT: 0.0453  acc: 0.5988  lr: 0.0002 
ep/it:35- 194 niter: 13600  66m 7s (- 2727m 10s) completed:  2%) loss_emb: 0.0000  loss: 1.4180  loss_TTT: 0.0453  acc: 0.5945  lr: 0.0002 
ep/it:35- 244 niter: 13650  66m 22s (- 2726m 57s) completed:  2%) loss_emb: 0.0000  loss: 1.3996  loss_TTT: 0.0451  acc: 0.5986  lr: 0.0002 
ep/it:35- 294 niter: 13700  66m 36s (- 2726m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.4195  loss_TTT: 0.0482  acc: 0.5953  lr: 0.0002 
ep/it:35- 344 niter: 13750  66m 50s (- 2726m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4017  loss_TTT: 0.0446  acc: 0.5977  lr: 0.0002 
Validation time:
Validation loss:1.634, accuracy:0.556
ep/it:36-  11 niter: 13800  67m 7s (- 2727m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4284  loss_TTT: 0.0535  acc: 0.5946  lr: 0.0002 
ep/it:36-  61 niter: 13850  67m 22s (- 2727m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4459  loss_TTT: 0.0486  acc: 0.5891  lr: 0.0002 
ep/it:36- 111 niter: 13900  67m 36s (- 2726m 59s) completed:  2%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0467  acc: 0.5988  lr: 0.0002 
ep/it:36- 161 niter: 13950  67m 51s (- 2726m 56s) completed:  2%) loss_emb: 0.0000  loss: 1.4178  loss_TTT: 0.0454  acc: 0.5951  lr: 0.0002 
ep/it:36- 211 niter: 14000  68m 6s (- 2726m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4333  loss_TTT: 0.0473  acc: 0.5896  lr: 0.0002 
ep/it:36- 261 niter: 14050  68m 20s (- 2726m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4203  loss_TTT: 0.0453  acc: 0.5952  lr: 0.0002 
ep/it:36- 311 niter: 14100  68m 34s (- 2725m 47s) completed:  2%) loss_emb: 0.0000  loss: 1.4289  loss_TTT: 0.0478  acc: 0.5919  lr: 0.0002 
ep/it:36- 361 niter: 14150  68m 48s (- 2724m 56s) completed:  2%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0464  acc: 0.5965  lr: 0.0002 
Validation time:
Validation loss:1.588, accuracy:0.570
ep/it:37-  28 niter: 14200  69m 5s (- 2725m 59s) completed:  2%) loss_emb: 0.0000  loss: 1.4248  loss_TTT: 0.0480  acc: 0.5916  lr: 0.0002 
ep/it:37-  78 niter: 14250  69m 19s (- 2725m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4136  loss_TTT: 0.0450  acc: 0.5960  lr: 0.0002 
ep/it:37- 128 niter: 14300  69m 33s (- 2725m 6s) completed:  2%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0461  acc: 0.6017  lr: 0.0002 
ep/it:37- 178 niter: 14350  69m 47s (- 2724m 21s) completed:  2%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0438  acc: 0.5981  lr: 0.0002 
ep/it:37- 228 niter: 14400  70m 2s (- 2724m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4078  loss_TTT: 0.0455  acc: 0.5981  lr: 0.0002 
ep/it:37- 278 niter: 14450  70m 16s (- 2723m 24s) completed:  2%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0485  acc: 0.5942  lr: 0.0002 
ep/it:37- 328 niter: 14500  70m 29s (- 2722m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0445  acc: 0.5967  lr: 0.0002 
ep/it:37- 378 niter: 14550  70m 44s (- 2722m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0487  acc: 0.5928  lr: 0.0002 
Validation time:
Validation loss:1.600, accuracy:0.564
ep/it:38-  45 niter: 14600  71m 1s (- 2723m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.4048  loss_TTT: 0.0476  acc: 0.5981  lr: 0.0002 
ep/it:38-  95 niter: 14650  71m 15s (- 2723m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0465  acc: 0.5945  lr: 0.0002 
ep/it:38- 145 niter: 14700  71m 30s (- 2722m 51s) completed:  2%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0469  acc: 0.5979  lr: 0.0002 
ep/it:38- 195 niter: 14750  71m 44s (- 2722m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4127  loss_TTT: 0.0454  acc: 0.5950  lr: 0.0002 
ep/it:38- 245 niter: 14800  71m 58s (- 2722m 6s) completed:  2%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0445  acc: 0.5947  lr: 0.0002 
ep/it:38- 295 niter: 14850  72m 13s (- 2721m 53s) completed:  2%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0460  acc: 0.6014  lr: 0.0002 
ep/it:38- 345 niter: 14900  72m 27s (- 2721m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4267  loss_TTT: 0.0446  acc: 0.5923  lr: 0.0002 
Validation time:
Validation loss:1.650, accuracy:0.551
ep/it:39-  12 niter: 14950  72m 44s (- 2722m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.3950  loss_TTT: 0.0466  acc: 0.6003  lr: 0.0002 
ep/it:39-  62 niter: 15000  72m 58s (- 2721m 57s) completed:  2%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0450  acc: 0.5941  lr: 0.0002 
ep/it:39- 112 niter: 15050  73m 12s (- 2721m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4372  loss_TTT: 0.0434  acc: 0.5904  lr: 0.0002 
ep/it:39- 162 niter: 15100  73m 26s (- 2720m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.3656  loss_TTT: 0.0480  acc: 0.6078  lr: 0.0002 
ep/it:39- 212 niter: 15150  73m 40s (- 2720m 21s) completed:  2%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0456  acc: 0.5986  lr: 0.0002 
ep/it:39- 262 niter: 15200  73m 55s (- 2720m 1s) completed:  2%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0447  acc: 0.5970  lr: 0.0002 
ep/it:39- 312 niter: 15250  74m 9s (- 2719m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0441  acc: 0.5941  lr: 0.0002 
ep/it:39- 362 niter: 15300  74m 23s (- 2719m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4335  loss_TTT: 0.0478  acc: 0.5911  lr: 0.0002 
Validation time:
Validation loss:1.573, accuracy:0.570
ep/it:40-  29 niter: 15350  74m 40s (- 2720m 10s) completed:  2%) loss_emb: 0.0000  loss: 1.4409  loss_TTT: 0.0461  acc: 0.5894  lr: 0.0002 
ep/it:40-  79 niter: 15400  74m 54s (- 2719m 50s) completed:  2%) loss_emb: 0.0000  loss: 1.4219  loss_TTT: 0.0450  acc: 0.5942  lr: 0.0002 
ep/it:40- 129 niter: 15450  75m 8s (- 2719m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0462  acc: 0.6014  lr: 0.0002 
ep/it:40- 179 niter: 15500  75m 22s (- 2718m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4347  loss_TTT: 0.0460  acc: 0.5911  lr: 0.0002 
ep/it:40- 229 niter: 15550  75m 37s (- 2718m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.3983  loss_TTT: 0.0455  acc: 0.5991  lr: 0.0002 
ep/it:40- 279 niter: 15600  75m 51s (- 2717m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4045  loss_TTT: 0.0444  acc: 0.5971  lr: 0.0002 
ep/it:40- 329 niter: 15650  76m 5s (- 2717m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0444  acc: 0.5978  lr: 0.0002 
ep/it:40- 379 niter: 15700  76m 19s (- 2716m 31s) completed:  2%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0445  acc: 0.5924  lr: 0.0002 
Validation time:
Validation loss:1.562, accuracy:0.571
ep/it:41-  46 niter: 15750  76m 36s (- 2717m 33s) completed:  2%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0429  acc: 0.6026  lr: 0.0002 
ep/it:41-  96 niter: 15800  76m 50s (- 2717m 6s) completed:  2%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0452  acc: 0.5998  lr: 0.0002 
ep/it:41- 146 niter: 15850  77m 4s (- 2716m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4255  loss_TTT: 0.0450  acc: 0.5921  lr: 0.0002 
ep/it:41- 196 niter: 15900  77m 18s (- 2716m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0443  acc: 0.5926  lr: 0.0002 
ep/it:41- 246 niter: 15950  77m 32s (- 2715m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4416  loss_TTT: 0.0449  acc: 0.5867  lr: 0.0002 
ep/it:41- 296 niter: 16000  77m 46s (- 2715m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0450  acc: 0.6003  lr: 0.0002 
ep/it:41- 346 niter: 16050  78m 1s (- 2714m 36s) completed:  2%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0471  acc: 0.6011  lr: 0.0002 
Validation time:
Validation loss:1.579, accuracy:0.566
ep/it:42-  13 niter: 16100  78m 17s (- 2715m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0460  acc: 0.6013  lr: 0.0002 
ep/it:42-  63 niter: 16150  78m 31s (- 2715m 2s) completed:  2%) loss_emb: 0.0000  loss: 1.4283  loss_TTT: 0.0458  acc: 0.5910  lr: 0.0002 
ep/it:42- 113 niter: 16200  78m 46s (- 2714m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0464  acc: 0.6040  lr: 0.0002 
ep/it:42- 163 niter: 16250  79m 0s (- 2713m 58s) completed:  2%) loss_emb: 0.0000  loss: 1.4345  loss_TTT: 0.0490  acc: 0.5910  lr: 0.0002 
ep/it:42- 213 niter: 16300  79m 14s (- 2713m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0452  acc: 0.5963  lr: 0.0002 
ep/it:42- 263 niter: 16350  79m 27s (- 2712m 44s) completed:  2%) loss_emb: 0.0000  loss: 1.4089  loss_TTT: 0.0454  acc: 0.5957  lr: 0.0002 
ep/it:42- 313 niter: 16400  79m 41s (- 2712m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4126  loss_TTT: 0.0447  acc: 0.5946  lr: 0.0002 
ep/it:42- 363 niter: 16450  79m 56s (- 2711m 44s) completed:  2%) loss_emb: 0.0000  loss: 1.4249  loss_TTT: 0.0453  acc: 0.5919  lr: 0.0002 
Validation time:
Validation loss:1.625, accuracy:0.556
ep/it:43-  30 niter: 16500  80m 12s (- 2712m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0461  acc: 0.5987  lr: 0.0002 
ep/it:43-  80 niter: 16550  80m 27s (- 2712m 20s) completed:  2%) loss_emb: 0.0000  loss: 1.3992  loss_TTT: 0.0447  acc: 0.5978  lr: 0.0002 
ep/it:43- 130 niter: 16600  80m 41s (- 2712m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4179  loss_TTT: 0.0447  acc: 0.5918  lr: 0.0002 
ep/it:43- 180 niter: 16650  80m 56s (- 2711m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0471  acc: 0.5957  lr: 0.0002 
ep/it:43- 230 niter: 16700  81m 9s (- 2711m 1s) completed:  2%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0466  acc: 0.6022  lr: 0.0002 
ep/it:43- 280 niter: 16750  81m 23s (- 2710m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0469  acc: 0.5990  lr: 0.0002 
ep/it:43- 330 niter: 16800  81m 37s (- 2709m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0462  acc: 0.6011  lr: 0.0002 
ep/it:43- 380 niter: 16850  81m 52s (- 2709m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0462  acc: 0.6067  lr: 0.0002 
Validation time:
Validation loss:1.588, accuracy:0.568
ep/it:44-  47 niter: 16900  82m 8s (- 2710m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0415  acc: 0.5989  lr: 0.0002 
ep/it:44-  97 niter: 16950  82m 22s (- 2709m 48s) completed:  2%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0484  acc: 0.5976  lr: 0.0002 
ep/it:44- 147 niter: 17000  82m 36s (- 2709m 8s) completed:  2%) loss_emb: 0.0000  loss: 1.4000  loss_TTT: 0.0436  acc: 0.5980  lr: 0.0002 
ep/it:44- 197 niter: 17050  82m 50s (- 2708m 38s) completed:  2%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0465  acc: 0.6006  lr: 0.0002 
ep/it:44- 247 niter: 17100  83m 4s (- 2708m 2s) completed:  2%) loss_emb: 0.0000  loss: 1.4324  loss_TTT: 0.0460  acc: 0.5913  lr: 0.0002 
ep/it:44- 297 niter: 17150  83m 18s (- 2707m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.4268  loss_TTT: 0.0453  acc: 0.5910  lr: 0.0002 
ep/it:44- 347 niter: 17200  83m 32s (- 2706m 47s) completed:  2%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0421  acc: 0.6062  lr: 0.0002 
Validation time:
Validation loss:1.614, accuracy:0.558
ep/it:45-  14 niter: 17250  83m 48s (- 2707m 31s) completed:  3%) loss_emb: 0.0000  loss: 1.4199  loss_TTT: 0.0458  acc: 0.5936  lr: 0.0002 
ep/it:45-  64 niter: 17300  84m 2s (- 2706m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0454  acc: 0.6017  lr: 0.0002 
ep/it:45- 114 niter: 17350  84m 16s (- 2706m 30s) completed:  3%) loss_emb: 0.0000  loss: 1.4220  loss_TTT: 0.0458  acc: 0.5923  lr: 0.0002 
ep/it:45- 164 niter: 17400  84m 31s (- 2706m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0441  acc: 0.5983  lr: 0.0002 
ep/it:45- 214 niter: 17450  84m 45s (- 2705m 46s) completed:  3%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0449  acc: 0.5926  lr: 0.0002 
ep/it:45- 264 niter: 17500  84m 59s (- 2705m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.3868  loss_TTT: 0.0499  acc: 0.6023  lr: 0.0002 
ep/it:45- 314 niter: 17550  85m 14s (- 2705m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0453  acc: 0.6039  lr: 0.0002 
ep/it:45- 364 niter: 17600  85m 28s (- 2704m 36s) completed:  3%) loss_emb: 0.0000  loss: 1.3960  loss_TTT: 0.0477  acc: 0.6011  lr: 0.0002 
Validation time:
Validation loss:1.571, accuracy:0.570
ep/it:46-  31 niter: 17650  85m 45s (- 2705m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.4198  loss_TTT: 0.0464  acc: 0.5931  lr: 0.0002 
ep/it:46-  81 niter: 17700  85m 59s (- 2704m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.4197  loss_TTT: 0.0463  acc: 0.5929  lr: 0.0002 
ep/it:46- 131 niter: 17750  86m 12s (- 2704m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.4157  loss_TTT: 0.0424  acc: 0.5938  lr: 0.0002 
ep/it:46- 181 niter: 17800  86m 27s (- 2703m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0442  acc: 0.5972  lr: 0.0002 
ep/it:46- 231 niter: 17850  86m 41s (- 2703m 28s) completed:  3%) loss_emb: 0.0000  loss: 1.4256  loss_TTT: 0.0447  acc: 0.5921  lr: 0.0002 
ep/it:46- 281 niter: 17900  86m 55s (- 2702m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0477  acc: 0.5944  lr: 0.0002 
ep/it:46- 331 niter: 17950  87m 9s (- 2702m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0442  acc: 0.6048  lr: 0.0002 
ep/it:46- 381 niter: 18000  87m 23s (- 2701m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0470  acc: 0.6020  lr: 0.0002 
Validation time:
Validation loss:1.561, accuracy:0.571
ep/it:47-  48 niter: 18050  87m 41s (- 2703m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0423  acc: 0.5934  lr: 0.0002 
ep/it:47-  98 niter: 18100  87m 55s (- 2702m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.3912  loss_TTT: 0.0482  acc: 0.6004  lr: 0.0002 
ep/it:47- 148 niter: 18150  88m 9s (- 2702m 31s) completed:  3%) loss_emb: 0.0000  loss: 1.4026  loss_TTT: 0.0445  acc: 0.5978  lr: 0.0002 
ep/it:47- 198 niter: 18200  88m 24s (- 2702m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3818  loss_TTT: 0.0430  acc: 0.6030  lr: 0.0002 
ep/it:47- 248 niter: 18250  88m 38s (- 2701m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.4038  loss_TTT: 0.0468  acc: 0.5972  lr: 0.0002 
ep/it:47- 298 niter: 18300  88m 52s (- 2701m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0437  acc: 0.6011  lr: 0.0002 
ep/it:47- 348 niter: 18350  89m 6s (- 2700m 44s) completed:  3%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0460  acc: 0.6012  lr: 0.0002 
Validation time:
Validation loss:1.605, accuracy:0.560
ep/it:48-  15 niter: 18400  89m 22s (- 2701m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.4163  loss_TTT: 0.0457  acc: 0.5930  lr: 0.0002 
ep/it:48-  65 niter: 18450  89m 37s (- 2700m 57s) completed:  3%) loss_emb: 0.0000  loss: 1.4125  loss_TTT: 0.0445  acc: 0.5950  lr: 0.0002 
ep/it:48- 115 niter: 18500  89m 51s (- 2700m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0434  acc: 0.6034  lr: 0.0002 
ep/it:48- 165 niter: 18550  90m 6s (- 2700m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0448  acc: 0.5963  lr: 0.0002 
ep/it:48- 215 niter: 18600  90m 20s (- 2699m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0440  acc: 0.6064  lr: 0.0002 
ep/it:48- 265 niter: 18650  90m 34s (- 2699m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.4121  loss_TTT: 0.0436  acc: 0.5948  lr: 0.0002 
ep/it:48- 315 niter: 18700  90m 49s (- 2699m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0441  acc: 0.6010  lr: 0.0002 
ep/it:48- 365 niter: 18750  91m 3s (- 2699m 4s) completed:  3%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0448  acc: 0.5942  lr: 0.0002 
Validation time:
Validation loss:1.496, accuracy:0.588
Improved accuracy from 0.58 to 0.5883035893025605!!!
ep/it:49-  32 niter: 18800  91m 21s (- 2700m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0433  acc: 0.6081  lr: 0.0002 
ep/it:49-  82 niter: 18850  91m 35s (- 2699m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0432  acc: 0.5995  lr: 0.0002 
ep/it:49- 132 niter: 18900  91m 50s (- 2699m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.3684  loss_TTT: 0.0431  acc: 0.6065  lr: 0.0002 
ep/it:49- 182 niter: 18950  92m 5s (- 2699m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.3968  loss_TTT: 0.0442  acc: 0.5980  lr: 0.0002 
ep/it:49- 232 niter: 19000  92m 19s (- 2699m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4118  loss_TTT: 0.0454  acc: 0.5947  lr: 0.0002 
ep/it:49- 282 niter: 19050  92m 34s (- 2699m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.4013  loss_TTT: 0.0455  acc: 0.5974  lr: 0.0002 
ep/it:49- 332 niter: 19100  92m 49s (- 2699m 10s) completed:  3%) loss_emb: 0.0000  loss: 1.3768  loss_TTT: 0.0433  acc: 0.6040  lr: 0.0002 
ep/it:49- 382 niter: 19150  93m 3s (- 2698m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0441  acc: 0.5998  lr: 0.0002 
Validation time:
Validation loss:1.531, accuracy:0.580
ep/it:50-  49 niter: 19200  93m 20s (- 2699m 34s) completed:  3%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0431  acc: 0.6015  lr: 0.0002 
ep/it:50-  99 niter: 19250  93m 35s (- 2699m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0426  acc: 0.6019  lr: 0.0002 
ep/it:50- 149 niter: 19300  93m 49s (- 2699m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0426  acc: 0.6053  lr: 0.0002 
ep/it:50- 199 niter: 19350  94m 4s (- 2698m 49s) completed:  3%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0439  acc: 0.5990  lr: 0.0002 
ep/it:50- 249 niter: 19400  94m 18s (- 2698m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0458  acc: 0.5895  lr: 0.0002 
ep/it:50- 299 niter: 19450  94m 33s (- 2698m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.3962  loss_TTT: 0.0459  acc: 0.5998  lr: 0.0002 
ep/it:50- 349 niter: 19500  94m 47s (- 2697m 50s) completed:  3%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0434  acc: 0.6021  lr: 0.0002 
Validation time:
Validation loss:1.587, accuracy:0.565
ep/it:51-  16 niter: 19550  95m 4s (- 2698m 41s) completed:  3%) loss_emb: 0.0000  loss: 1.3902  loss_TTT: 0.0473  acc: 0.6004  lr: 0.0002 
ep/it:51-  66 niter: 19600  95m 18s (- 2698m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0454  acc: 0.6063  lr: 0.0002 
ep/it:51- 116 niter: 19650  95m 32s (- 2697m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0451  acc: 0.5985  lr: 0.0002 
ep/it:51- 166 niter: 19700  95m 47s (- 2697m 41s) completed:  3%) loss_emb: 0.0000  loss: 1.3898  loss_TTT: 0.0410  acc: 0.5991  lr: 0.0002 
ep/it:51- 216 niter: 19750  96m 1s (- 2697m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0428  acc: 0.6015  lr: 0.0002 
ep/it:51- 266 niter: 19800  96m 16s (- 2697m 2s) completed:  3%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0432  acc: 0.6116  lr: 0.0002 
ep/it:51- 316 niter: 19850  96m 30s (- 2696m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0432  acc: 0.6011  lr: 0.0002 
ep/it:51- 366 niter: 19900  96m 45s (- 2696m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0450  acc: 0.6020  lr: 0.0002 
Validation time:
Validation loss:1.564, accuracy:0.570
ep/it:52-  33 niter: 19950  97m 2s (- 2697m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0440  acc: 0.6012  lr: 0.0002 
ep/it:52-  83 niter: 20000  97m 17s (- 2697m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0435  acc: 0.6004  lr: 0.0002 
ep/it:52- 133 niter: 20050  97m 32s (- 2697m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0432  acc: 0.6028  lr: 0.0002 
ep/it:52- 183 niter: 20100  97m 46s (- 2696m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.3668  loss_TTT: 0.0447  acc: 0.6064  lr: 0.0002 
ep/it:52- 233 niter: 20150  98m 1s (- 2696m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0406  acc: 0.6008  lr: 0.0002 
ep/it:52- 283 niter: 20200  98m 15s (- 2696m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0443  acc: 0.6026  lr: 0.0002 
ep/it:52- 333 niter: 20250  98m 30s (- 2696m 5s) completed:  3%) loss_emb: 0.0000  loss: 1.3888  loss_TTT: 0.0422  acc: 0.5985  lr: 0.0002 
Validation time:
Validation loss:1.572, accuracy:0.569
ep/it:53-   0 niter: 20300  98m 47s (- 2697m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0417  acc: 0.6045  lr: 0.0002 
ep/it:53-  50 niter: 20350  99m 2s (- 2696m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0444  acc: 0.6033  lr: 0.0002 
ep/it:53- 100 niter: 20400  99m 17s (- 2696m 46s) completed:  3%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0435  acc: 0.5996  lr: 0.0002 
ep/it:53- 150 niter: 20450  99m 31s (- 2696m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0437  acc: 0.6079  lr: 0.0002 
ep/it:53- 200 niter: 20500  99m 45s (- 2696m 6s) completed:  3%) loss_emb: 0.0000  loss: 1.4205  loss_TTT: 0.0466  acc: 0.5931  lr: 0.0002 
ep/it:53- 250 niter: 20550  100m 0s (- 2695m 51s) completed:  3%) loss_emb: 0.0000  loss: 1.3973  loss_TTT: 0.0442  acc: 0.5988  lr: 0.0002 
ep/it:53- 300 niter: 20600  100m 14s (- 2695m 30s) completed:  3%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0470  acc: 0.6044  lr: 0.0002 
ep/it:53- 350 niter: 20650  100m 29s (- 2695m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.3676  loss_TTT: 0.0436  acc: 0.6055  lr: 0.0002 
Validation time:
Validation loss:1.554, accuracy:0.572
ep/it:54-  17 niter: 20700  100m 46s (- 2696m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.3774  loss_TTT: 0.0437  acc: 0.6023  lr: 0.0002 
ep/it:54-  67 niter: 20750  101m 1s (- 2696m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0451  acc: 0.5928  lr: 0.0002 
ep/it:54- 117 niter: 20800  101m 15s (- 2695m 40s) completed:  3%) loss_emb: 0.0000  loss: 1.3929  loss_TTT: 0.0450  acc: 0.5982  lr: 0.0002 
ep/it:54- 167 niter: 20850  101m 30s (- 2695m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0426  acc: 0.6003  lr: 0.0002 
ep/it:54- 217 niter: 20900  101m 43s (- 2694m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0423  acc: 0.6003  lr: 0.0002 
ep/it:54- 267 niter: 20950  101m 58s (- 2694m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3749  loss_TTT: 0.0469  acc: 0.6046  lr: 0.0002 
ep/it:54- 317 niter: 21000  102m 12s (- 2693m 51s) completed:  3%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0450  acc: 0.5958  lr: 0.0002 
ep/it:54- 367 niter: 21050  102m 26s (- 2693m 36s) completed:  3%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0419  acc: 0.6057  lr: 0.0002 
Validation time:
Validation loss:1.564, accuracy:0.571
ep/it:55-  34 niter: 21100  102m 43s (- 2694m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0420  acc: 0.6064  lr: 0.0002 
ep/it:55-  84 niter: 21150  102m 58s (- 2694m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0422  acc: 0.5968  lr: 0.0002 
ep/it:55- 134 niter: 21200  103m 12s (- 2693m 49s) completed:  3%) loss_emb: 0.0000  loss: 1.4005  loss_TTT: 0.0455  acc: 0.5962  lr: 0.0002 
ep/it:55- 184 niter: 21250  103m 26s (- 2693m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0409  acc: 0.6054  lr: 0.0002 
ep/it:55- 234 niter: 21300  103m 41s (- 2692m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0426  acc: 0.5976  lr: 0.0002 
ep/it:55- 284 niter: 21350  103m 55s (- 2692m 21s) completed:  3%) loss_emb: 0.0000  loss: 1.4099  loss_TTT: 0.0454  acc: 0.5941  lr: 0.0002 
ep/it:55- 334 niter: 21400  104m 9s (- 2691m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0473  acc: 0.6017  lr: 0.0002 
Validation time:
Validation loss:1.603, accuracy:0.561
ep/it:56-   1 niter: 21450  104m 25s (- 2692m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.3841  loss_TTT: 0.0467  acc: 0.6010  lr: 0.0002 
ep/it:56-  51 niter: 21500  104m 40s (- 2692m 15s) completed:  3%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0447  acc: 0.6060  lr: 0.0002 
ep/it:56- 101 niter: 21550  104m 54s (- 2691m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0430  acc: 0.6014  lr: 0.0002 
ep/it:56- 151 niter: 21600  105m 9s (- 2691m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0430  acc: 0.6044  lr: 0.0002 
ep/it:56- 201 niter: 21650  105m 23s (- 2691m 22s) completed:  3%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0456  acc: 0.6045  lr: 0.0002 
ep/it:56- 251 niter: 21700  105m 38s (- 2691m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0427  acc: 0.6061  lr: 0.0002 
ep/it:56- 301 niter: 21750  105m 52s (- 2690m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0436  acc: 0.6036  lr: 0.0002 
ep/it:56- 351 niter: 21800  106m 6s (- 2690m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0431  acc: 0.5963  lr: 0.0002 
Validation time:
Validation loss:1.576, accuracy:0.565
ep/it:57-  18 niter: 21850  106m 22s (- 2690m 44s) completed:  3%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0435  acc: 0.5996  lr: 0.0002 
ep/it:57-  68 niter: 21900  106m 37s (- 2690m 31s) completed:  3%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0431  acc: 0.6065  lr: 0.0002 
ep/it:57- 118 niter: 21950  106m 52s (- 2690m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0426  acc: 0.5973  lr: 0.0002 
ep/it:57- 168 niter: 22000  107m 6s (- 2689m 57s) completed:  3%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0419  acc: 0.6059  lr: 0.0002 
ep/it:57- 218 niter: 22050  107m 21s (- 2689m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0439  acc: 0.6025  lr: 0.0002 
ep/it:57- 268 niter: 22100  107m 36s (- 2689m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0450  acc: 0.6032  lr: 0.0002 
ep/it:57- 318 niter: 22150  107m 50s (- 2689m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0450  acc: 0.6020  lr: 0.0002 
ep/it:57- 368 niter: 22200  108m 4s (- 2688m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0454  acc: 0.5989  lr: 0.0002 
Validation time:
Validation loss:1.523, accuracy:0.581
ep/it:58-  35 niter: 22250  108m 22s (- 2689m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0440  acc: 0.6000  lr: 0.0002 
ep/it:58-  85 niter: 22300  108m 37s (- 2689m 36s) completed:  3%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0428  acc: 0.6075  lr: 0.0002 
ep/it:58- 135 niter: 22350  108m 51s (- 2689m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.4040  loss_TTT: 0.0439  acc: 0.5960  lr: 0.0002 
ep/it:58- 185 niter: 22400  109m 6s (- 2689m 1s) completed:  3%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0454  acc: 0.5987  lr: 0.0002 
ep/it:58- 235 niter: 22450  109m 20s (- 2688m 45s) completed:  3%) loss_emb: 0.0000  loss: 1.3773  loss_TTT: 0.0442  acc: 0.6020  lr: 0.0002 
ep/it:58- 285 niter: 22500  109m 35s (- 2688m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0430  acc: 0.6006  lr: 0.0002 
ep/it:58- 335 niter: 22550  109m 49s (- 2688m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.3860  loss_TTT: 0.0468  acc: 0.6008  lr: 0.0002 
Validation time:
Validation loss:1.517, accuracy:0.581
ep/it:59-   2 niter: 22600  110m 7s (- 2689m 6s) completed:  3%) loss_emb: 0.0000  loss: 1.3859  loss_TTT: 0.0446  acc: 0.6003  lr: 0.0002 
ep/it:59-  52 niter: 22650  110m 21s (- 2688m 51s) completed:  3%) loss_emb: 0.0000  loss: 1.3658  loss_TTT: 0.0435  acc: 0.6054  lr: 0.0002 
ep/it:59- 102 niter: 22700  110m 36s (- 2688m 40s) completed:  3%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0422  acc: 0.6008  lr: 0.0002 
ep/it:59- 152 niter: 22750  110m 50s (- 2688m 21s) completed:  3%) loss_emb: 0.0000  loss: 1.3306  loss_TTT: 0.0410  acc: 0.6144  lr: 0.0002 
ep/it:59- 202 niter: 22800  111m 5s (- 2688m 1s) completed:  3%) loss_emb: 0.0000  loss: 1.3638  loss_TTT: 0.0412  acc: 0.6050  lr: 0.0002 
ep/it:59- 252 niter: 22850  111m 19s (- 2687m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0421  acc: 0.6060  lr: 0.0002 
ep/it:59- 302 niter: 22900  111m 33s (- 2687m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0450  acc: 0.5990  lr: 0.0002 
ep/it:59- 352 niter: 22950  111m 47s (- 2686m 46s) completed:  3%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0427  acc: 0.5987  lr: 0.0002 
Validation time:
Validation loss:1.531, accuracy:0.575
ep/it:60-  19 niter: 23000  112m 4s (- 2687m 30s) completed:  4%) loss_emb: 0.0000  loss: 1.3934  loss_TTT: 0.0419  acc: 0.5986  lr: 0.0002 
ep/it:60-  69 niter: 23050  112m 19s (- 2687m 14s) completed:  4%) loss_emb: 0.0000  loss: 1.3903  loss_TTT: 0.0444  acc: 0.5993  lr: 0.0002 
ep/it:60- 119 niter: 23100  112m 33s (- 2686m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.4001  loss_TTT: 0.0432  acc: 0.5955  lr: 0.0002 
ep/it:60- 169 niter: 23150  112m 47s (- 2686m 18s) completed:  4%) loss_emb: 0.0000  loss: 1.3427  loss_TTT: 0.0411  acc: 0.6122  lr: 0.0002 
ep/it:60- 219 niter: 23200  113m 2s (- 2686m 2s) completed:  4%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0449  acc: 0.6026  lr: 0.0002 
ep/it:60- 269 niter: 23250  113m 16s (- 2685m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4107  loss_TTT: 0.0454  acc: 0.5926  lr: 0.0002 
ep/it:60- 319 niter: 23300  113m 30s (- 2685m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.3976  loss_TTT: 0.0428  acc: 0.5972  lr: 0.0002 
ep/it:60- 369 niter: 23350  113m 44s (- 2684m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0428  acc: 0.6004  lr: 0.0002 
Validation time:
Validation loss:1.540, accuracy:0.574
ep/it:61-  36 niter: 23400  114m 1s (- 2685m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0404  acc: 0.6022  lr: 0.0002 
ep/it:61-  86 niter: 23450  114m 15s (- 2685m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0433  acc: 0.5964  lr: 0.0002 
ep/it:61- 136 niter: 23500  114m 29s (- 2684m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0430  acc: 0.6072  lr: 0.0002 
ep/it:61- 186 niter: 23550  114m 43s (- 2684m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0435  acc: 0.6030  lr: 0.0002 
ep/it:61- 236 niter: 23600  114m 57s (- 2683m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0422  acc: 0.6030  lr: 0.0002 
ep/it:61- 286 niter: 23650  115m 11s (- 2683m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.4012  loss_TTT: 0.0452  acc: 0.5961  lr: 0.0002 
ep/it:61- 336 niter: 23700  115m 25s (- 2682m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0410  acc: 0.6018  lr: 0.0002 
Validation time:
Validation loss:1.565, accuracy:0.568
ep/it:62-   3 niter: 23750  115m 42s (- 2683m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.3871  loss_TTT: 0.0434  acc: 0.6004  lr: 0.0002 
ep/it:62-  53 niter: 23800  115m 56s (- 2682m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0437  acc: 0.6026  lr: 0.0002 
ep/it:62- 103 niter: 23850  116m 10s (- 2682m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0423  acc: 0.6066  lr: 0.0002 
ep/it:62- 153 niter: 23900  116m 23s (- 2681m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0411  acc: 0.6033  lr: 0.0002 
ep/it:62- 203 niter: 23950  116m 37s (- 2681m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0456  acc: 0.5991  lr: 0.0002 
ep/it:62- 253 niter: 24000  116m 51s (- 2680m 33s) completed:  4%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0428  acc: 0.6026  lr: 0.0002 
ep/it:62- 303 niter: 24050  117m 5s (- 2680m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.4111  loss_TTT: 0.0415  acc: 0.5926  lr: 0.0002 
ep/it:62- 353 niter: 24100  117m 19s (- 2679m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0422  acc: 0.6046  lr: 0.0002 
Validation time:
Validation loss:1.598, accuracy:0.561
ep/it:63-  20 niter: 24150  117m 36s (- 2680m 13s) completed:  4%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0430  acc: 0.6081  lr: 0.0002 
ep/it:63-  70 niter: 24200  117m 51s (- 2679m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0433  acc: 0.5970  lr: 0.0002 
ep/it:63- 120 niter: 24250  118m 5s (- 2679m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.3910  loss_TTT: 0.0472  acc: 0.5992  lr: 0.0002 
ep/it:63- 170 niter: 24300  118m 20s (- 2679m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.3932  loss_TTT: 0.0441  acc: 0.5983  lr: 0.0002 
ep/it:63- 220 niter: 24350  118m 34s (- 2678m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.3410  loss_TTT: 0.0418  acc: 0.6106  lr: 0.0002 
ep/it:63- 270 niter: 24400  118m 48s (- 2678m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0435  acc: 0.6041  lr: 0.0002 
ep/it:63- 320 niter: 24450  119m 2s (- 2678m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.3887  loss_TTT: 0.0461  acc: 0.6005  lr: 0.0002 
ep/it:63- 370 niter: 24500  119m 16s (- 2677m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.3972  loss_TTT: 0.0435  acc: 0.5983  lr: 0.0002 
Validation time:
Validation loss:1.556, accuracy:0.571
ep/it:64-  37 niter: 24550  119m 33s (- 2678m 25s) completed:  4%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0447  acc: 0.6028  lr: 0.0002 
ep/it:64-  87 niter: 24600  119m 48s (- 2678m 12s) completed:  4%) loss_emb: 0.0000  loss: 1.3909  loss_TTT: 0.0430  acc: 0.5974  lr: 0.0002 
ep/it:64- 137 niter: 24650  120m 2s (- 2677m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0446  acc: 0.6001  lr: 0.0002 
ep/it:64- 187 niter: 24700  120m 16s (- 2677m 14s) completed:  4%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0421  acc: 0.5992  lr: 0.0002 
ep/it:64- 237 niter: 24750  120m 30s (- 2676m 52s) completed:  4%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0442  acc: 0.6014  lr: 0.0002 
ep/it:64- 287 niter: 24800  120m 44s (- 2676m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.3808  loss_TTT: 0.0407  acc: 0.6008  lr: 0.0002 
ep/it:64- 337 niter: 24850  120m 59s (- 2676m 2s) completed:  4%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0412  acc: 0.6078  lr: 0.0002 
Validation time:
Validation loss:1.549, accuracy:0.570
ep/it:65-   4 niter: 24900  121m 15s (- 2676m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0439  acc: 0.5978  lr: 0.0002 
ep/it:65-  54 niter: 24950  121m 29s (- 2676m 5s) completed:  4%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0417  acc: 0.6015  lr: 0.0002 
ep/it:65- 104 niter: 25000  121m 43s (- 2675m 40s) completed:  4%) loss_emb: 0.0000  loss: 1.3700  loss_TTT: 0.0425  acc: 0.6026  lr: 0.0002 
ep/it:65- 154 niter: 25050  121m 58s (- 2675m 29s) completed:  4%) loss_emb: 0.0000  loss: 1.3925  loss_TTT: 0.0434  acc: 0.5983  lr: 0.0002 
ep/it:65- 204 niter: 25100  122m 12s (- 2674m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0415  acc: 0.5971  lr: 0.0002 
ep/it:65- 254 niter: 25150  122m 26s (- 2674m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0433  acc: 0.6057  lr: 0.0002 
ep/it:65- 304 niter: 25200  122m 40s (- 2674m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0432  acc: 0.5957  lr: 0.0002 
ep/it:65- 354 niter: 25250  122m 55s (- 2673m 46s) completed:  4%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0426  acc: 0.6015  lr: 0.0002 
Validation time:
Validation loss:1.531, accuracy:0.578
ep/it:66-  21 niter: 25300  123m 11s (- 2674m 14s) completed:  4%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0409  acc: 0.6026  lr: 0.0002 
ep/it:66-  71 niter: 25350  123m 25s (- 2673m 49s) completed:  4%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0406  acc: 0.6028  lr: 0.0002 
ep/it:66- 121 niter: 25400  123m 40s (- 2673m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0419  acc: 0.6080  lr: 0.0002 
ep/it:66- 171 niter: 25450  123m 54s (- 2673m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0414  acc: 0.5983  lr: 0.0002 
ep/it:66- 221 niter: 25500  124m 9s (- 2672m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0445  acc: 0.5990  lr: 0.0002 
ep/it:66- 271 niter: 25550  124m 23s (- 2672m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0444  acc: 0.6011  lr: 0.0002 
ep/it:66- 321 niter: 25600  124m 37s (- 2672m 18s) completed:  4%) loss_emb: 0.0000  loss: 1.3608  loss_TTT: 0.0414  acc: 0.6057  lr: 0.0002 
ep/it:66- 371 niter: 25650  124m 52s (- 2671m 57s) completed:  4%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0425  acc: 0.6017  lr: 0.0002 
Validation time:
Validation loss:1.543, accuracy:0.573
ep/it:67-  38 niter: 25700  125m 9s (- 2672m 40s) completed:  4%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0410  acc: 0.6050  lr: 0.0002 
ep/it:67-  88 niter: 25750  125m 23s (- 2672m 18s) completed:  4%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0421  acc: 0.6024  lr: 0.0002 
ep/it:67- 138 niter: 25800  125m 38s (- 2671m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0400  acc: 0.6024  lr: 0.0002 
ep/it:67- 188 niter: 25850  125m 52s (- 2671m 33s) completed:  4%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0417  acc: 0.6054  lr: 0.0002 
ep/it:67- 238 niter: 25900  126m 6s (- 2671m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.3414  loss_TTT: 0.0405  acc: 0.6106  lr: 0.0002 
ep/it:67- 288 niter: 25950  126m 20s (- 2670m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.3568  loss_TTT: 0.0414  acc: 0.6076  lr: 0.0002 
ep/it:67- 338 niter: 26000  126m 34s (- 2670m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0412  acc: 0.6009  lr: 0.0002 
Validation time:
Validation loss:1.544, accuracy:0.575
ep/it:68-   5 niter: 26050  126m 51s (- 2670m 46s) completed:  4%) loss_emb: 0.0000  loss: 1.3678  loss_TTT: 0.0435  acc: 0.6041  lr: 0.0002 
ep/it:68-  55 niter: 26100  127m 5s (- 2670m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0419  acc: 0.6075  lr: 0.0002 
ep/it:68- 105 niter: 26150  127m 19s (- 2669m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3792  loss_TTT: 0.0442  acc: 0.6010  lr: 0.0002 
ep/it:68- 155 niter: 26200  127m 33s (- 2669m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0429  acc: 0.6063  lr: 0.0002 
ep/it:68- 205 niter: 26250  127m 47s (- 2668m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0433  acc: 0.6089  lr: 0.0002 
ep/it:68- 255 niter: 26300  128m 1s (- 2668m 29s) completed:  4%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0452  acc: 0.5987  lr: 0.0002 
ep/it:68- 305 niter: 26350  128m 14s (- 2667m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0448  acc: 0.6044  lr: 0.0002 
ep/it:68- 355 niter: 26400  128m 28s (- 2667m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.3648  loss_TTT: 0.0402  acc: 0.6037  lr: 0.0002 
Validation time:
Validation loss:1.502, accuracy:0.582
ep/it:69-  22 niter: 26450  128m 45s (- 2667m 43s) completed:  4%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0414  acc: 0.6037  lr: 0.0002 
ep/it:69-  72 niter: 26500  128m 58s (- 2667m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3606  loss_TTT: 0.0422  acc: 0.6056  lr: 0.0002 
ep/it:69- 122 niter: 26550  129m 13s (- 2667m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.3738  loss_TTT: 0.0417  acc: 0.6023  lr: 0.0002 
ep/it:69- 172 niter: 26600  129m 27s (- 2666m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0427  acc: 0.6092  lr: 0.0002 
ep/it:69- 222 niter: 26650  129m 41s (- 2666m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0410  acc: 0.5986  lr: 0.0002 
ep/it:69- 272 niter: 26700  129m 56s (- 2665m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.3520  loss_TTT: 0.0416  acc: 0.6084  lr: 0.0002 
ep/it:69- 322 niter: 26750  130m 10s (- 2665m 29s) completed:  4%) loss_emb: 0.0000  loss: 1.3462  loss_TTT: 0.0420  acc: 0.6099  lr: 0.0002 
ep/it:69- 372 niter: 26800  130m 24s (- 2665m 7s) completed:  4%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0429  acc: 0.6033  lr: 0.0002 
Validation time:
Validation loss:1.568, accuracy:0.571
ep/it:70-  39 niter: 26850  130m 42s (- 2665m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.3905  loss_TTT: 0.0446  acc: 0.5989  lr: 0.0002 
ep/it:70-  89 niter: 26900  130m 56s (- 2665m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0453  acc: 0.6007  lr: 0.0002 
ep/it:70- 139 niter: 26950  131m 11s (- 2665m 28s) completed:  4%) loss_emb: 0.0000  loss: 1.3565  loss_TTT: 0.0422  acc: 0.6066  lr: 0.0002 
ep/it:70- 189 niter: 27000  131m 25s (- 2665m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.3754  loss_TTT: 0.0414  acc: 0.6024  lr: 0.0002 
ep/it:70- 239 niter: 27050  131m 40s (- 2664m 53s) completed:  4%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0450  acc: 0.6024  lr: 0.0002 
ep/it:70- 289 niter: 27100  131m 55s (- 2664m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.3690  loss_TTT: 0.0431  acc: 0.6031  lr: 0.0002 
ep/it:70- 339 niter: 27150  132m 8s (- 2664m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0405  acc: 0.6090  lr: 0.0002 
Validation time:
Validation loss:1.573, accuracy:0.567
ep/it:71-   6 niter: 27200  132m 24s (- 2664m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.3393  loss_TTT: 0.0430  acc: 0.6108  lr: 0.0002 
ep/it:71-  56 niter: 27250  132m 38s (- 2663m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.3413  loss_TTT: 0.0394  acc: 0.6091  lr: 0.0002 
ep/it:71- 106 niter: 27300  132m 52s (- 2663m 27s) completed:  4%) loss_emb: 0.0000  loss: 1.3462  loss_TTT: 0.0415  acc: 0.6081  lr: 0.0002 
ep/it:71- 156 niter: 27350  133m 6s (- 2662m 59s) completed:  4%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0449  acc: 0.6046  lr: 0.0002 
ep/it:71- 206 niter: 27400  133m 20s (- 2662m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0420  acc: 0.6071  lr: 0.0002 
ep/it:71- 256 niter: 27450  133m 34s (- 2662m 2s) completed:  4%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0407  acc: 0.6032  lr: 0.0002 
ep/it:71- 306 niter: 27500  133m 48s (- 2661m 32s) completed:  4%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0427  acc: 0.5948  lr: 0.0002 
ep/it:71- 356 niter: 27550  134m 2s (- 2661m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0389  acc: 0.6070  lr: 0.0002 
Validation time:
Validation loss:1.489, accuracy:0.588
ep/it:72-  23 niter: 27600  134m 19s (- 2661m 31s) completed:  4%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0436  acc: 0.6002  lr: 0.0002 
ep/it:72-  73 niter: 27650  134m 33s (- 2661m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.3526  loss_TTT: 0.0430  acc: 0.6068  lr: 0.0002 
ep/it:72- 123 niter: 27700  134m 47s (- 2660m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0437  acc: 0.6032  lr: 0.0002 
ep/it:72- 173 niter: 27750  135m 1s (- 2660m 24s) completed:  4%) loss_emb: 0.0000  loss: 1.3991  loss_TTT: 0.0409  acc: 0.5955  lr: 0.0002 
ep/it:72- 223 niter: 27800  135m 15s (- 2660m 0s) completed:  4%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0440  acc: 0.6032  lr: 0.0002 
ep/it:72- 273 niter: 27850  135m 30s (- 2659m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.3322  loss_TTT: 0.0429  acc: 0.6142  lr: 0.0002 
ep/it:72- 323 niter: 27900  135m 44s (- 2659m 14s) completed:  4%) loss_emb: 0.0000  loss: 1.4069  loss_TTT: 0.0420  acc: 0.5932  lr: 0.0002 
ep/it:72- 373 niter: 27950  135m 58s (- 2658m 46s) completed:  4%) loss_emb: 0.0000  loss: 1.3698  loss_TTT: 0.0429  acc: 0.6041  lr: 0.0002 
Validation time:
Validation loss:1.550, accuracy:0.572
ep/it:73-  40 niter: 28000  136m 14s (- 2659m 7s) completed:  4%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0417  acc: 0.6022  lr: 0.0002 
ep/it:73-  90 niter: 28050  136m 28s (- 2658m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0415  acc: 0.6012  lr: 0.0002 
ep/it:73- 140 niter: 28100  136m 42s (- 2658m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.3422  loss_TTT: 0.0423  acc: 0.6122  lr: 0.0002 
ep/it:73- 190 niter: 28150  136m 56s (- 2657m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3689  loss_TTT: 0.0407  acc: 0.6045  lr: 0.0002 
ep/it:73- 240 niter: 28200  137m 11s (- 2657m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.3499  loss_TTT: 0.0428  acc: 0.6088  lr: 0.0002 
ep/it:73- 290 niter: 28250  137m 24s (- 2657m 7s) completed:  4%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0409  acc: 0.6051  lr: 0.0002 
ep/it:73- 340 niter: 28300  137m 38s (- 2656m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.3488  loss_TTT: 0.0410  acc: 0.6100  lr: 0.0002 
Validation time:
Validation loss:1.523, accuracy:0.580
ep/it:74-   7 niter: 28350  137m 55s (- 2656m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0445  acc: 0.6043  lr: 0.0002 
ep/it:74-  57 niter: 28400  138m 8s (- 2656m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0425  acc: 0.6005  lr: 0.0002 
ep/it:74- 107 niter: 28450  138m 22s (- 2656m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0421  acc: 0.5967  lr: 0.0002 
ep/it:74- 157 niter: 28500  138m 36s (- 2655m 35s) completed:  4%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0383  acc: 0.6047  lr: 0.0002 
ep/it:74- 207 niter: 28550  138m 51s (- 2655m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.3237  loss_TTT: 0.0421  acc: 0.6155  lr: 0.0002 
ep/it:74- 257 niter: 28600  139m 5s (- 2654m 50s) completed:  4%) loss_emb: 0.0000  loss: 1.3566  loss_TTT: 0.0397  acc: 0.6068  lr: 0.0002 
ep/it:74- 307 niter: 28650  139m 19s (- 2654m 22s) completed:  4%) loss_emb: 0.0000  loss: 1.3541  loss_TTT: 0.0429  acc: 0.6082  lr: 0.0002 
ep/it:74- 357 niter: 28700  139m 32s (- 2653m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.3468  loss_TTT: 0.0403  acc: 0.6092  lr: 0.0002 
Validation time:
Validation loss:1.560, accuracy:0.569
ep/it:75-  24 niter: 28750  139m 49s (- 2654m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0452  acc: 0.6025  lr: 0.0002 
ep/it:75-  74 niter: 28800  140m 3s (- 2653m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0415  acc: 0.6069  lr: 0.0002 
ep/it:75- 124 niter: 28850  140m 17s (- 2653m 19s) completed:  5%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0396  acc: 0.6042  lr: 0.0002 
ep/it:75- 174 niter: 28900  140m 31s (- 2652m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.3723  loss_TTT: 0.0442  acc: 0.6033  lr: 0.0002 
ep/it:75- 224 niter: 28950  140m 45s (- 2652m 31s) completed:  5%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0420  acc: 0.6049  lr: 0.0002 
ep/it:75- 274 niter: 29000  140m 59s (- 2652m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.3428  loss_TTT: 0.0414  acc: 0.6096  lr: 0.0002 
ep/it:75- 324 niter: 29050  141m 14s (- 2651m 50s) completed:  5%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0422  acc: 0.6063  lr: 0.0002 
ep/it:75- 374 niter: 29100  141m 28s (- 2651m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0441  acc: 0.6015  lr: 0.0002 
Validation time:
Validation loss:1.515, accuracy:0.580
ep/it:76-  41 niter: 29150  141m 45s (- 2652m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0418  acc: 0.6023  lr: 0.0002 
ep/it:76-  91 niter: 29200  141m 59s (- 2651m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.3872  loss_TTT: 0.0420  acc: 0.5969  lr: 0.0002 
ep/it:76- 141 niter: 29250  142m 14s (- 2651m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0401  acc: 0.6032  lr: 0.0002 
ep/it:76- 191 niter: 29300  142m 28s (- 2651m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0407  acc: 0.6086  lr: 0.0002 
ep/it:76- 241 niter: 29350  142m 43s (- 2650m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.3587  loss_TTT: 0.0425  acc: 0.6056  lr: 0.0002 
ep/it:76- 291 niter: 29400  142m 57s (- 2650m 40s) completed:  5%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0406  acc: 0.6002  lr: 0.0002 
ep/it:76- 341 niter: 29450  143m 12s (- 2650m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.3585  loss_TTT: 0.0399  acc: 0.6067  lr: 0.0002 
Validation time:
Validation loss:1.481, accuracy:0.587
ep/it:77-   8 niter: 29500  143m 29s (- 2650m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0392  acc: 0.6100  lr: 0.0002 
ep/it:77-  58 niter: 29550  143m 44s (- 2650m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.3605  loss_TTT: 0.0421  acc: 0.6053  lr: 0.0002 
ep/it:77- 108 niter: 29600  143m 59s (- 2650m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0424  acc: 0.6066  lr: 0.0002 
ep/it:77- 158 niter: 29650  144m 13s (- 2650m 19s) completed:  5%) loss_emb: 0.0000  loss: 1.3783  loss_TTT: 0.0425  acc: 0.6008  lr: 0.0002 
ep/it:77- 208 niter: 29700  144m 28s (- 2650m 2s) completed:  5%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0408  acc: 0.5983  lr: 0.0002 
ep/it:77- 258 niter: 29750  144m 42s (- 2649m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0403  acc: 0.6037  lr: 0.0002 
ep/it:77- 308 niter: 29800  144m 56s (- 2649m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.3500  loss_TTT: 0.0408  acc: 0.6082  lr: 0.0002 
ep/it:77- 358 niter: 29850  145m 9s (- 2648m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0436  acc: 0.6044  lr: 0.0002 
Validation time:
Validation loss:1.529, accuracy:0.575
ep/it:78-  25 niter: 29900  145m 26s (- 2649m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3490  loss_TTT: 0.0414  acc: 0.6092  lr: 0.0002 
ep/it:78-  75 niter: 29950  145m 40s (- 2648m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3553  loss_TTT: 0.0413  acc: 0.6074  lr: 0.0002 
ep/it:78- 125 niter: 30000  145m 54s (- 2648m 18s) completed:  5%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0431  acc: 0.6005  lr: 0.0002 
ep/it:78- 175 niter: 30050  146m 9s (- 2648m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.3767  loss_TTT: 0.0383  acc: 0.6010  lr: 0.0002 
ep/it:78- 225 niter: 30100  146m 23s (- 2647m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.3457  loss_TTT: 0.0406  acc: 0.6088  lr: 0.0002 
ep/it:78- 275 niter: 30150  146m 37s (- 2647m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0449  acc: 0.6026  lr: 0.0002 
ep/it:78- 325 niter: 30200  146m 51s (- 2646m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0438  acc: 0.6107  lr: 0.0002 
ep/it:78- 375 niter: 30250  147m 4s (- 2646m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0428  acc: 0.6073  lr: 0.0002 
Validation time:
Validation loss:1.491, accuracy:0.588
Improved accuracy from 0.59 to 0.5884454950042393!!!
ep/it:79-  42 niter: 30300  147m 21s (- 2646m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0441  acc: 0.5992  lr: 0.0002 
ep/it:79-  92 niter: 30350  147m 35s (- 2646m 14s) completed:  5%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0432  acc: 0.6066  lr: 0.0002 
ep/it:79- 142 niter: 30400  147m 49s (- 2645m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.3292  loss_TTT: 0.0407  acc: 0.6132  lr: 0.0002 
ep/it:79- 192 niter: 30450  148m 4s (- 2645m 30s) completed:  5%) loss_emb: 0.0000  loss: 1.3761  loss_TTT: 0.0425  acc: 0.6011  lr: 0.0002 
ep/it:79- 242 niter: 30500  148m 17s (- 2645m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.3927  loss_TTT: 0.0408  acc: 0.5967  lr: 0.0002 
ep/it:79- 292 niter: 30550  148m 32s (- 2644m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.3667  loss_TTT: 0.0398  acc: 0.6050  lr: 0.0002 
ep/it:79- 342 niter: 30600  148m 46s (- 2644m 19s) completed:  5%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0421  acc: 0.6075  lr: 0.0002 
Validation time:
Validation loss:1.532, accuracy:0.576
ep/it:80-   9 niter: 30650  149m 2s (- 2644m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.3439  loss_TTT: 0.0421  acc: 0.6094  lr: 0.0002 
ep/it:80-  59 niter: 30700  149m 16s (- 2644m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.3407  loss_TTT: 0.0406  acc: 0.6092  lr: 0.0002 
ep/it:80- 109 niter: 30750  149m 30s (- 2643m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0420  acc: 0.5996  lr: 0.0002 
ep/it:80- 159 niter: 30800  149m 45s (- 2643m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0392  acc: 0.6029  lr: 0.0002 
ep/it:80- 209 niter: 30850  149m 59s (- 2643m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.3465  loss_TTT: 0.0398  acc: 0.6090  lr: 0.0002 
ep/it:80- 259 niter: 30900  150m 13s (- 2642m 49s) completed:  5%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0407  acc: 0.6012  lr: 0.0002 
ep/it:80- 309 niter: 30950  150m 27s (- 2642m 30s) completed:  5%) loss_emb: 0.0000  loss: 1.3425  loss_TTT: 0.0402  acc: 0.6108  lr: 0.0002 
ep/it:80- 359 niter: 31000  150m 42s (- 2642m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0443  acc: 0.6053  lr: 0.0002 
Validation time:
Validation loss:1.562, accuracy:0.568
ep/it:81-  26 niter: 31050  150m 59s (- 2642m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.3464  loss_TTT: 0.0416  acc: 0.6094  lr: 0.0002 
ep/it:81-  76 niter: 31100  151m 13s (- 2642m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0398  acc: 0.6051  lr: 0.0002 
ep/it:81- 126 niter: 31150  151m 28s (- 2642m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.3325  loss_TTT: 0.0424  acc: 0.6111  lr: 0.0002 
ep/it:81- 176 niter: 31200  151m 42s (- 2641m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3487  loss_TTT: 0.0401  acc: 0.6070  lr: 0.0002 
ep/it:81- 226 niter: 31250  151m 56s (- 2641m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0433  acc: 0.6024  lr: 0.0002 
ep/it:81- 276 niter: 31300  152m 10s (- 2641m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3854  loss_TTT: 0.0432  acc: 0.6004  lr: 0.0002 
ep/it:81- 326 niter: 31350  152m 25s (- 2640m 46s) completed:  5%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0432  acc: 0.6018  lr: 0.0002 
ep/it:81- 376 niter: 31400  152m 39s (- 2640m 31s) completed:  5%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0419  acc: 0.6086  lr: 0.0002 
Validation time:
Validation loss:1.505, accuracy:0.582
ep/it:82-  43 niter: 31450  152m 57s (- 2641m 14s) completed:  5%) loss_emb: 0.0000  loss: 1.3511  loss_TTT: 0.0413  acc: 0.6087  lr: 0.0002 
ep/it:82-  93 niter: 31500  153m 12s (- 2641m 2s) completed:  5%) loss_emb: 0.0000  loss: 1.3687  loss_TTT: 0.0413  acc: 0.6032  lr: 0.0002 
ep/it:82- 143 niter: 31550  153m 27s (- 2640m 56s) completed:  5%) loss_emb: 0.0000  loss: 1.3507  loss_TTT: 0.0411  acc: 0.6086  lr: 0.0002 
ep/it:82- 193 niter: 31600  153m 41s (- 2640m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.3499  loss_TTT: 0.0390  acc: 0.6073  lr: 0.0002 
ep/it:82- 243 niter: 31650  153m 55s (- 2640m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.3507  loss_TTT: 0.0409  acc: 0.6074  lr: 0.0002 
ep/it:82- 293 niter: 31700  154m 9s (- 2639m 40s) completed:  5%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0437  acc: 0.6063  lr: 0.0002 
ep/it:82- 343 niter: 31750  154m 24s (- 2639m 24s) completed:  5%) loss_emb: 0.0000  loss: 1.3401  loss_TTT: 0.0385  acc: 0.6100  lr: 0.0002 
Validation time:
Validation loss:1.547, accuracy:0.571
ep/it:83-  10 niter: 31800  154m 40s (- 2639m 46s) completed:  5%) loss_emb: 0.0000  loss: 1.3324  loss_TTT: 0.0419  acc: 0.6125  lr: 0.0002 
ep/it:83-  60 niter: 31850  154m 55s (- 2639m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0425  acc: 0.6037  lr: 0.0002 
ep/it:83- 110 niter: 31900  155m 10s (- 2639m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0431  acc: 0.6001  lr: 0.0002 
ep/it:83- 160 niter: 31950  155m 24s (- 2639m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0451  acc: 0.6025  lr: 0.0002 
ep/it:83- 210 niter: 32000  155m 38s (- 2638m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.3445  loss_TTT: 0.0416  acc: 0.6095  lr: 0.0002 
ep/it:83- 260 niter: 32050  155m 53s (- 2638m 24s) completed:  5%) loss_emb: 0.0000  loss: 1.3780  loss_TTT: 0.0421  acc: 0.5995  lr: 0.0002 
ep/it:83- 310 niter: 32100  156m 7s (- 2638m 3s) completed:  5%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0408  acc: 0.5995  lr: 0.0002 
ep/it:83- 360 niter: 32150  156m 21s (- 2637m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.3469  loss_TTT: 0.0416  acc: 0.6080  lr: 0.0002 
Validation time:
Validation loss:1.500, accuracy:0.584
ep/it:84-  27 niter: 32200  156m 38s (- 2638m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.3365  loss_TTT: 0.0388  acc: 0.6096  lr: 0.0002 
ep/it:84-  77 niter: 32250  156m 53s (- 2637m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0404  acc: 0.6012  lr: 0.0002 
ep/it:84- 127 niter: 32300  157m 7s (- 2637m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3660  loss_TTT: 0.0406  acc: 0.6042  lr: 0.0002 
ep/it:84- 177 niter: 32350  157m 22s (- 2637m 18s) completed:  5%) loss_emb: 0.0000  loss: 1.3464  loss_TTT: 0.0415  acc: 0.6084  lr: 0.0002 
ep/it:84- 227 niter: 32400  157m 36s (- 2637m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.3406  loss_TTT: 0.0408  acc: 0.6114  lr: 0.0002 
ep/it:84- 277 niter: 32450  157m 50s (- 2636m 40s) completed:  5%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0413  acc: 0.6011  lr: 0.0002 
ep/it:84- 327 niter: 32500  158m 5s (- 2636m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0412  acc: 0.6059  lr: 0.0002 
ep/it:84- 377 niter: 32550  158m 19s (- 2635m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0402  acc: 0.6012  lr: 0.0002 
Validation time:
Validation loss:1.545, accuracy:0.573
ep/it:85-  44 niter: 32600  158m 35s (- 2636m 17s) completed:  5%) loss_emb: 0.0000  loss: 1.3503  loss_TTT: 0.0414  acc: 0.6070  lr: 0.0002 
ep/it:85-  94 niter: 32650  158m 50s (- 2635m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.3270  loss_TTT: 0.0407  acc: 0.6133  lr: 0.0002 
ep/it:85- 144 niter: 32700  159m 4s (- 2635m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0415  acc: 0.6082  lr: 0.0002 
ep/it:85- 194 niter: 32750  159m 17s (- 2635m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0401  acc: 0.6069  lr: 0.0002 
ep/it:85- 244 niter: 32800  159m 32s (- 2634m 48s) completed:  5%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0428  acc: 0.6037  lr: 0.0002 
ep/it:85- 294 niter: 32850  159m 46s (- 2634m 25s) completed:  5%) loss_emb: 0.0000  loss: 1.3730  loss_TTT: 0.0413  acc: 0.6021  lr: 0.0002 
ep/it:85- 344 niter: 32900  160m 0s (- 2633m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.3297  loss_TTT: 0.0410  acc: 0.6131  lr: 0.0002 
Validation time:
Validation loss:1.556, accuracy:0.571
ep/it:86-  11 niter: 32950  160m 17s (- 2634m 31s) completed:  5%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0426  acc: 0.6058  lr: 0.0002 
ep/it:86-  61 niter: 33000  160m 32s (- 2634m 17s) completed:  5%) loss_emb: 0.0000  loss: 1.3359  loss_TTT: 0.0403  acc: 0.6106  lr: 0.0002 
ep/it:86- 111 niter: 33050  160m 46s (- 2634m 2s) completed:  5%) loss_emb: 0.0000  loss: 1.3449  loss_TTT: 0.0415  acc: 0.6088  lr: 0.0002 
ep/it:86- 161 niter: 33100  161m 1s (- 2633m 49s) completed:  5%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0382  acc: 0.6068  lr: 0.0002 
ep/it:86- 211 niter: 33150  161m 16s (- 2633m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3578  loss_TTT: 0.0409  acc: 0.6067  lr: 0.0002 
ep/it:86- 261 niter: 33200  161m 30s (- 2633m 15s) completed:  5%) loss_emb: 0.0000  loss: 1.3264  loss_TTT: 0.0429  acc: 0.6142  lr: 0.0002 
ep/it:86- 311 niter: 33250  161m 44s (- 2632m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.3532  loss_TTT: 0.0398  acc: 0.6061  lr: 0.0002 
ep/it:86- 361 niter: 33300  161m 59s (- 2632m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.3438  loss_TTT: 0.0423  acc: 0.6090  lr: 0.0002 
Validation time:
Validation loss:1.512, accuracy:0.581
ep/it:87-  28 niter: 33350  162m 16s (- 2633m 12s) completed:  5%) loss_emb: 0.0000  loss: 1.3224  loss_TTT: 0.0400  acc: 0.6134  lr: 0.0002 
ep/it:87-  78 niter: 33400  162m 31s (- 2632m 54s) completed:  5%) loss_emb: 0.0000  loss: 1.3447  loss_TTT: 0.0399  acc: 0.6077  lr: 0.0002 
ep/it:87- 128 niter: 33450  162m 45s (- 2632m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.3428  loss_TTT: 0.0422  acc: 0.6113  lr: 0.0002 
ep/it:87- 178 niter: 33500  162m 59s (- 2632m 8s) completed:  5%) loss_emb: 0.0000  loss: 1.3318  loss_TTT: 0.0374  acc: 0.6117  lr: 0.0002 
ep/it:87- 228 niter: 33550  163m 13s (- 2631m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.3283  loss_TTT: 0.0393  acc: 0.6128  lr: 0.0002 
ep/it:87- 278 niter: 33600  163m 27s (- 2631m 26s) completed:  5%) loss_emb: 0.0000  loss: 1.3775  loss_TTT: 0.0420  acc: 0.6000  lr: 0.0002 
ep/it:87- 328 niter: 33650  163m 41s (- 2631m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.3404  loss_TTT: 0.0400  acc: 0.6107  lr: 0.0002 
ep/it:87- 378 niter: 33700  163m 55s (- 2630m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0410  acc: 0.6079  lr: 0.0002 
Validation time:
Validation loss:1.496, accuracy:0.585
ep/it:88-  45 niter: 33750  164m 12s (- 2630m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.3222  loss_TTT: 0.0404  acc: 0.6159  lr: 0.0002 
ep/it:88-  95 niter: 33800  164m 26s (- 2630m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0404  acc: 0.6079  lr: 0.0002 
ep/it:88- 145 niter: 33850  164m 40s (- 2630m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.3350  loss_TTT: 0.0411  acc: 0.6117  lr: 0.0002 
ep/it:88- 195 niter: 33900  164m 54s (- 2629m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0423  acc: 0.6047  lr: 0.0002 
ep/it:88- 245 niter: 33950  165m 8s (- 2629m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0403  acc: 0.6068  lr: 0.0002 
ep/it:88- 295 niter: 34000  165m 22s (- 2629m 4s) completed:  5%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0464  acc: 0.5969  lr: 0.0002 
ep/it:88- 345 niter: 34050  165m 37s (- 2628m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.3830  loss_TTT: 0.0396  acc: 0.5993  lr: 0.0002 
Validation time:
Validation loss:1.541, accuracy:0.573
ep/it:89-  12 niter: 34100  165m 54s (- 2629m 17s) completed:  5%) loss_emb: 0.0000  loss: 1.3246  loss_TTT: 0.0403  acc: 0.6135  lr: 0.0002 
ep/it:89-  62 niter: 34150  166m 9s (- 2629m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3618  loss_TTT: 0.0423  acc: 0.6051  lr: 0.0002 
ep/it:89- 112 niter: 34200  166m 23s (- 2628m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0401  acc: 0.6023  lr: 0.0002 
ep/it:89- 162 niter: 34250  166m 38s (- 2628m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.3132  loss_TTT: 0.0411  acc: 0.6173  lr: 0.0002 
ep/it:89- 212 niter: 34300  166m 52s (- 2628m 13s) completed:  5%) loss_emb: 0.0000  loss: 1.3184  loss_TTT: 0.0397  acc: 0.6156  lr: 0.0002 
ep/it:89- 262 niter: 34350  167m 7s (- 2627m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0395  acc: 0.6055  lr: 0.0002 
ep/it:89- 312 niter: 34400  167m 21s (- 2627m 44s) completed:  5%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0395  acc: 0.6080  lr: 0.0002 
ep/it:89- 362 niter: 34450  167m 36s (- 2627m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.3442  loss_TTT: 0.0397  acc: 0.6103  lr: 0.0002 
Validation time:
Validation loss:1.517, accuracy:0.580
ep/it:90-  29 niter: 34500  167m 53s (- 2627m 52s) completed:  6%) loss_emb: 0.0000  loss: 1.3366  loss_TTT: 0.0419  acc: 0.6118  lr: 0.0002 
ep/it:90-  79 niter: 34550  168m 8s (- 2627m 41s) completed:  6%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0417  acc: 0.6021  lr: 0.0002 
ep/it:90- 129 niter: 34600  168m 22s (- 2627m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.3281  loss_TTT: 0.0410  acc: 0.6120  lr: 0.0002 
ep/it:90- 179 niter: 34650  168m 37s (- 2627m 10s) completed:  6%) loss_emb: 0.0000  loss: 1.3552  loss_TTT: 0.0412  acc: 0.6060  lr: 0.0002 
ep/it:90- 229 niter: 34700  168m 51s (- 2626m 53s) completed:  6%) loss_emb: 0.0000  loss: 1.3300  loss_TTT: 0.0404  acc: 0.6117  lr: 0.0002 
ep/it:90- 279 niter: 34750  169m 6s (- 2626m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0404  acc: 0.6022  lr: 0.0002 
ep/it:90- 329 niter: 34800  169m 20s (- 2626m 16s) completed:  6%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0401  acc: 0.6017  lr: 0.0002 
ep/it:90- 379 niter: 34850  169m 34s (- 2625m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.3470  loss_TTT: 0.0403  acc: 0.6083  lr: 0.0002 
Validation time:
Validation loss:1.529, accuracy:0.573
ep/it:91-  46 niter: 34900  169m 51s (- 2626m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0392  acc: 0.6062  lr: 0.0002 
ep/it:91-  96 niter: 34950  170m 6s (- 2625m 59s) completed:  6%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0417  acc: 0.6063  lr: 0.0002 
ep/it:91- 146 niter: 35000  170m 20s (- 2625m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.3360  loss_TTT: 0.0404  acc: 0.6102  lr: 0.0002 
ep/it:91- 196 niter: 35050  170m 35s (- 2625m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0401  acc: 0.6096  lr: 0.0002 
ep/it:91- 246 niter: 35100  170m 49s (- 2625m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.3368  loss_TTT: 0.0416  acc: 0.6107  lr: 0.0002 
ep/it:91- 296 niter: 35150  171m 3s (- 2624m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0421  acc: 0.5986  lr: 0.0002 
ep/it:91- 346 niter: 35200  171m 18s (- 2624m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.3358  loss_TTT: 0.0384  acc: 0.6114  lr: 0.0002 
Validation time:
Validation loss:1.478, accuracy:0.588
ep/it:92-  13 niter: 35250  171m 35s (- 2624m 59s) completed:  6%) loss_emb: 0.0000  loss: 1.3310  loss_TTT: 0.0384  acc: 0.6114  lr: 0.0002 
ep/it:92-  63 niter: 35300  171m 49s (- 2624m 41s) completed:  6%) loss_emb: 0.0000  loss: 1.3661  loss_TTT: 0.0444  acc: 0.6035  lr: 0.0002 
ep/it:92- 113 niter: 35350  172m 4s (- 2624m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.3495  loss_TTT: 0.0402  acc: 0.6086  lr: 0.0002 
ep/it:92- 163 niter: 35400  172m 18s (- 2624m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0435  acc: 0.6059  lr: 0.0002 
ep/it:92- 213 niter: 35450  172m 33s (- 2623m 47s) completed:  6%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0413  acc: 0.6019  lr: 0.0002 
ep/it:92- 263 niter: 35500  172m 47s (- 2623m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0398  acc: 0.6081  lr: 0.0002 
ep/it:92- 313 niter: 35550  173m 1s (- 2623m 11s) completed:  6%) loss_emb: 0.0000  loss: 1.3246  loss_TTT: 0.0402  acc: 0.6132  lr: 0.0002 
ep/it:92- 363 niter: 35600  173m 16s (- 2622m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.3307  loss_TTT: 0.0404  acc: 0.6133  lr: 0.0002 
Validation time:
Validation loss:1.511, accuracy:0.583
ep/it:93-  30 niter: 35650  173m 33s (- 2623m 19s) completed:  6%) loss_emb: 0.0000  loss: 1.3396  loss_TTT: 0.0426  acc: 0.6117  lr: 0.0002 
ep/it:93-  80 niter: 35700  173m 47s (- 2622m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0415  acc: 0.6063  lr: 0.0002 
ep/it:93- 130 niter: 35750  174m 2s (- 2622m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.3202  loss_TTT: 0.0412  acc: 0.6162  lr: 0.0002 
ep/it:93- 180 niter: 35800  174m 17s (- 2622m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0407  acc: 0.6102  lr: 0.0002 
ep/it:93- 230 niter: 35850  174m 31s (- 2622m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.3381  loss_TTT: 0.0412  acc: 0.6099  lr: 0.0002 
ep/it:93- 280 niter: 35900  174m 46s (- 2622m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.3254  loss_TTT: 0.0414  acc: 0.6137  lr: 0.0002 
ep/it:93- 330 niter: 35950  175m 0s (- 2621m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.3361  loss_TTT: 0.0409  acc: 0.6101  lr: 0.0002 
ep/it:93- 380 niter: 36000  175m 14s (- 2621m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0423  acc: 0.6086  lr: 0.0002 
Validation time:
Validation loss:1.525, accuracy:0.577
ep/it:94-  47 niter: 36050  175m 32s (- 2621m 53s) completed:  6%) loss_emb: 0.0000  loss: 1.3510  loss_TTT: 0.0406  acc: 0.6073  lr: 0.0002 
ep/it:94-  97 niter: 36100  175m 46s (- 2621m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.3421  loss_TTT: 0.0396  acc: 0.6093  lr: 0.0002 
ep/it:94- 147 niter: 36150  176m 0s (- 2621m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0416  acc: 0.6095  lr: 0.0002 
ep/it:94- 197 niter: 36200  176m 14s (- 2620m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.3418  loss_TTT: 0.0426  acc: 0.6101  lr: 0.0002 
ep/it:94- 247 niter: 36250  176m 29s (- 2620m 33s) completed:  6%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0409  acc: 0.6041  lr: 0.0002 
ep/it:94- 297 niter: 36300  176m 43s (- 2620m 11s) completed:  6%) loss_emb: 0.0000  loss: 1.3572  loss_TTT: 0.0419  acc: 0.6051  lr: 0.0002 
ep/it:94- 347 niter: 36350  176m 57s (- 2619m 50s) completed:  6%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0391  acc: 0.6060  lr: 0.0002 
Validation time:
Validation loss:1.521, accuracy:0.578
ep/it:95-  14 niter: 36400  177m 14s (- 2620m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.3196  loss_TTT: 0.0412  acc: 0.6151  lr: 0.0002 
ep/it:95-  64 niter: 36450  177m 29s (- 2619m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.3372  loss_TTT: 0.0420  acc: 0.6114  lr: 0.0002 
ep/it:95- 114 niter: 36500  177m 43s (- 2619m 33s) completed:  6%) loss_emb: 0.0000  loss: 1.3452  loss_TTT: 0.0400  acc: 0.6082  lr: 0.0002 
ep/it:95- 164 niter: 36550  177m 57s (- 2619m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0452  acc: 0.6064  lr: 0.0002 
ep/it:95- 214 niter: 36600  178m 12s (- 2618m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.3379  loss_TTT: 0.0401  acc: 0.6095  lr: 0.0002 
ep/it:95- 264 niter: 36650  178m 26s (- 2618m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0418  acc: 0.6061  lr: 0.0002 
ep/it:95- 314 niter: 36700  178m 40s (- 2618m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3398  loss_TTT: 0.0415  acc: 0.6097  lr: 0.0002 
ep/it:95- 364 niter: 36750  178m 55s (- 2618m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0377  acc: 0.6092  lr: 0.0002 
Validation time:
Validation loss:1.521, accuracy:0.581
ep/it:96-  31 niter: 36800  179m 12s (- 2618m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.3251  loss_TTT: 0.0399  acc: 0.6151  lr: 0.0002 
ep/it:96-  81 niter: 36850  179m 27s (- 2618m 13s) completed:  6%) loss_emb: 0.0000  loss: 1.3237  loss_TTT: 0.0408  acc: 0.6146  lr: 0.0002 
ep/it:96- 131 niter: 36900  179m 41s (- 2618m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.3340  loss_TTT: 0.0400  acc: 0.6115  lr: 0.0002 
ep/it:96- 181 niter: 36950  179m 55s (- 2617m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.3256  loss_TTT: 0.0399  acc: 0.6150  lr: 0.0002 
ep/it:96- 231 niter: 37000  180m 10s (- 2617m 25s) completed:  6%) loss_emb: 0.0000  loss: 1.3391  loss_TTT: 0.0390  acc: 0.6101  lr: 0.0002 
ep/it:96- 281 niter: 37050  180m 25s (- 2617m 16s) completed:  6%) loss_emb: 0.0000  loss: 1.3362  loss_TTT: 0.0423  acc: 0.6115  lr: 0.0002 
ep/it:96- 331 niter: 37100  180m 39s (- 2616m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.3425  loss_TTT: 0.0387  acc: 0.6093  lr: 0.0002 
ep/it:96- 381 niter: 37150  180m 54s (- 2616m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.3346  loss_TTT: 0.0400  acc: 0.6105  lr: 0.0002 
Validation time:
Validation loss:1.548, accuracy:0.570
ep/it:97-  48 niter: 37200  181m 11s (- 2617m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0390  acc: 0.6042  lr: 0.0002 
ep/it:97-  98 niter: 37250  181m 26s (- 2616m 47s) completed:  6%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0394  acc: 0.6076  lr: 0.0002 
ep/it:97- 148 niter: 37300  181m 40s (- 2616m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.3363  loss_TTT: 0.0379  acc: 0.6080  lr: 0.0002 
ep/it:97- 198 niter: 37350  181m 54s (- 2616m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.3271  loss_TTT: 0.0399  acc: 0.6125  lr: 0.0002 
ep/it:97- 248 niter: 37400  182m 8s (- 2615m 47s) completed:  6%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0409  acc: 0.6087  lr: 0.0002 
ep/it:97- 298 niter: 37450  182m 22s (- 2615m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0411  acc: 0.6084  lr: 0.0002 
ep/it:97- 348 niter: 37500  182m 36s (- 2615m 3s) completed:  6%) loss_emb: 0.0000  loss: 1.3549  loss_TTT: 0.0398  acc: 0.6056  lr: 0.0002 
Validation time:
Validation loss:1.534, accuracy:0.574
ep/it:98-  15 niter: 37550  182m 54s (- 2615m 25s) completed:  6%) loss_emb: 0.0000  loss: 1.3431  loss_TTT: 0.0395  acc: 0.6078  lr: 0.0002 
ep/it:98-  65 niter: 37600  183m 7s (- 2614m 59s) completed:  6%) loss_emb: 0.0000  loss: 1.3635  loss_TTT: 0.0395  acc: 0.6049  lr: 0.0002 
ep/it:98- 115 niter: 37650  183m 22s (- 2614m 37s) completed:  6%) loss_emb: 0.0000  loss: 1.3347  loss_TTT: 0.0399  acc: 0.6104  lr: 0.0002 
ep/it:98- 165 niter: 37700  183m 36s (- 2614m 15s) completed:  6%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0395  acc: 0.6075  lr: 0.0002 
ep/it:98- 215 niter: 37750  183m 49s (- 2613m 50s) completed:  6%) loss_emb: 0.0000  loss: 1.3380  loss_TTT: 0.0436  acc: 0.6102  lr: 0.0002 
ep/it:98- 265 niter: 37800  184m 4s (- 2613m 30s) completed:  6%) loss_emb: 0.0000  loss: 1.3553  loss_TTT: 0.0419  acc: 0.6073  lr: 0.0002 
ep/it:98- 315 niter: 37850  184m 18s (- 2613m 10s) completed:  6%) loss_emb: 0.0000  loss: 1.3434  loss_TTT: 0.0404  acc: 0.6091  lr: 0.0002 
ep/it:98- 365 niter: 37900  184m 32s (- 2612m 46s) completed:  6%) loss_emb: 0.0000  loss: 1.3372  loss_TTT: 0.0425  acc: 0.6113  lr: 0.0002 
Validation time:
Validation loss:1.470, accuracy:0.592
Improved accuracy from 0.59 to 0.5924459825391355!!!
ep/it:99-  32 niter: 37950  184m 49s (- 2613m 12s) completed:  6%) loss_emb: 0.0000  loss: 1.3344  loss_TTT: 0.0396  acc: 0.6091  lr: 0.0002 
ep/it:99-  82 niter: 38000  185m 4s (- 2613m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.3384  loss_TTT: 0.0396  acc: 0.6107  lr: 0.0002 
ep/it:99- 132 niter: 38050  185m 19s (- 2612m 53s) completed:  6%) loss_emb: 0.0000  loss: 1.3574  loss_TTT: 0.0405  acc: 0.6041  lr: 0.0002 
ep/it:99- 182 niter: 38100  185m 34s (- 2612m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0449  acc: 0.6086  lr: 0.0002 
ep/it:99- 232 niter: 38150  185m 48s (- 2612m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.3204  loss_TTT: 0.0412  acc: 0.6153  lr: 0.0002 
ep/it:99- 282 niter: 38200  186m 3s (- 2612m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0402  acc: 0.6064  lr: 0.0002 
ep/it:99- 332 niter: 38250  186m 17s (- 2611m 41s) completed:  6%) loss_emb: 0.0000  loss: 1.3351  loss_TTT: 0.0386  acc: 0.6114  lr: 0.0002 
ep/it:99- 382 niter: 38300  186m 31s (- 2611m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3401  loss_TTT: 0.0399  acc: 0.6093  lr: 0.0002 
Validation time:
Validation loss:1.515, accuracy:0.581

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.89it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.42it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.77it/s]
100%|██████████| 47/47 [00:05<00:00,  8.11it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4475650577805936 avg: 2.4475650577805936
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4507035072892904 avg: 2.449134282534942
--> 	 Eva. Repeat 22 :, FID. 0.2023, Diversity Real. 9.3657, Diversity. 9.9440, R_precision_real. [0.484375   0.69921875 0.796875  ], R_precision. [0.49707031 0.67871094 0.78320312], matching_score_real. 2.9847, matching_score_pred. 3.0231, skate_ratio. 0.0455, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5352 (traj_fail_50cm (Traj err)): 0.3096 (kps_fail_20cm): 0.3806 (kps_fail_50cm (Loc. err)): 0.2045 (kps_mean_err(m) (Avg. err)): 0.3908 
ep/it:100-  49 niter: 38350  186m 54s (- 2613m 8s) completed:  6%) loss_emb: 0.0000  loss: 1.3342  loss_TTT: 0.0380  acc: 0.6105  lr: 0.0002 
ep/it:100-  99 niter: 38400  187m 8s (- 2612m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.3350  loss_TTT: 0.0409  acc: 0.6113  lr: 0.0002 
ep/it:100- 149 niter: 38450  187m 22s (- 2612m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.3604  loss_TTT: 0.0421  acc: 0.6054  lr: 0.0002 
ep/it:100- 199 niter: 38500  187m 36s (- 2612m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0408  acc: 0.6045  lr: 0.0002 
ep/it:100- 249 niter: 38550  187m 51s (- 2611m 38s) completed:  6%) loss_emb: 0.0000  loss: 1.3376  loss_TTT: 0.0401  acc: 0.6110  lr: 0.0002 
ep/it:100- 299 niter: 38600  188m 4s (- 2611m 13s) completed:  6%) loss_emb: 0.0000  loss: 1.3436  loss_TTT: 0.0424  acc: 0.6095  lr: 0.0002 
ep/it:100- 349 niter: 38650  188m 19s (- 2610m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.3443  loss_TTT: 0.0398  acc: 0.6087  lr: 0.0002 
Validation time:
Validation loss:1.509, accuracy:0.582
ep/it:101-  16 niter: 38700  188m 35s (- 2610m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.3117  loss_TTT: 0.0383  acc: 0.6167  lr: 0.0002 
ep/it:101-  66 niter: 38750  188m 49s (- 2610m 38s) completed:  6%) loss_emb: 0.0000  loss: 1.3341  loss_TTT: 0.0398  acc: 0.6110  lr: 0.0002 
ep/it:101- 116 niter: 38800  189m 3s (- 2610m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.3476  loss_TTT: 0.0390  acc: 0.6075  lr: 0.0002 
ep/it:101- 166 niter: 38850  189m 17s (- 2609m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.3442  loss_TTT: 0.0415  acc: 0.6100  lr: 0.0002 
ep/it:101- 216 niter: 38900  189m 31s (- 2609m 26s) completed:  6%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0406  acc: 0.6049  lr: 0.0002 
ep/it:101- 266 niter: 38950  189m 45s (- 2609m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.3603  loss_TTT: 0.0405  acc: 0.6043  lr: 0.0002 
ep/it:101- 316 niter: 39000  189m 59s (- 2608m 37s) completed:  6%) loss_emb: 0.0000  loss: 1.3477  loss_TTT: 0.0406  acc: 0.6067  lr: 0.0002 
ep/it:101- 366 niter: 39050  190m 13s (- 2608m 16s) completed:  6%) loss_emb: 0.0000  loss: 1.3284  loss_TTT: 0.0367  acc: 0.6129  lr: 0.0002 
Validation time:
Validation loss:1.528, accuracy:0.575
ep/it:102-  33 niter: 39100  190m 30s (- 2608m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.3390  loss_TTT: 0.0375  acc: 0.6104  lr: 0.0002 
ep/it:102-  83 niter: 39150  190m 44s (- 2608m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3388  loss_TTT: 0.0435  acc: 0.6104  lr: 0.0002 
ep/it:102- 133 niter: 39200  190m 59s (- 2608m 5s) completed:  6%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0414  acc: 0.6004  lr: 0.0002 
ep/it:102- 183 niter: 39250  191m 13s (- 2607m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.3114  loss_TTT: 0.0400  acc: 0.6162  lr: 0.0002 
ep/it:102- 233 niter: 39300  191m 27s (- 2607m 21s) completed:  6%) loss_emb: 0.0000  loss: 1.3400  loss_TTT: 0.0394  acc: 0.6087  lr: 0.0002 
ep/it:102- 283 niter: 39350  191m 41s (- 2607m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0419  acc: 0.6022  lr: 0.0002 
ep/it:102- 333 niter: 39400  191m 56s (- 2606m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.3531  loss_TTT: 0.0390  acc: 0.6057  lr: 0.0002 
Validation time:
Validation loss:1.515, accuracy:0.577
ep/it:103-   0 niter: 39450  192m 12s (- 2606m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.3280  loss_TTT: 0.0384  acc: 0.6124  lr: 0.0002 
ep/it:103-  50 niter: 39500  192m 26s (- 2606m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.3205  loss_TTT: 0.0394  acc: 0.6140  lr: 0.0002 
ep/it:103- 100 niter: 39550  192m 41s (- 2606m 15s) completed:  6%) loss_emb: 0.0000  loss: 1.3298  loss_TTT: 0.0395  acc: 0.6111  lr: 0.0002 
ep/it:103- 150 niter: 39600  192m 55s (- 2605m 53s) completed:  6%) loss_emb: 0.0000  loss: 1.3264  loss_TTT: 0.0391  acc: 0.6121  lr: 0.0002 
ep/it:103- 200 niter: 39650  193m 9s (- 2605m 32s) completed:  6%) loss_emb: 0.0000  loss: 1.3255  loss_TTT: 0.0407  acc: 0.6132  lr: 0.0002 
ep/it:103- 250 niter: 39700  193m 23s (- 2605m 9s) completed:  6%) loss_emb: 0.0000  loss: 1.3403  loss_TTT: 0.0401  acc: 0.6103  lr: 0.0002 
ep/it:103- 300 niter: 39750  193m 37s (- 2604m 44s) completed:  6%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0393  acc: 0.6009  lr: 0.0002 
ep/it:103- 350 niter: 39800  193m 51s (- 2604m 19s) completed:  6%) loss_emb: 0.0000  loss: 1.3356  loss_TTT: 0.0423  acc: 0.6110  lr: 0.0002 
Validation time:
Validation loss:1.517, accuracy:0.578
ep/it:104-  17 niter: 39850  194m 7s (- 2604m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.3227  loss_TTT: 0.0391  acc: 0.6131  lr: 0.0002 
ep/it:104-  67 niter: 39900  194m 22s (- 2604m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0401  acc: 0.6056  lr: 0.0002 
ep/it:104- 117 niter: 39950  194m 35s (- 2603m 47s) completed:  6%) loss_emb: 0.0000  loss: 1.3321  loss_TTT: 0.0396  acc: 0.6119  lr: 0.0002 
ep/it:104- 167 niter: 40000  194m 50s (- 2603m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.3294  loss_TTT: 0.0415  acc: 0.6120  lr: 0.0002 
ep/it:104- 217 niter: 40050  195m 4s (- 2603m 9s) completed:  6%) loss_emb: 0.0000  loss: 1.3445  loss_TTT: 0.0413  acc: 0.6105  lr: 0.0002 
ep/it:104- 267 niter: 40100  195m 17s (- 2602m 41s) completed:  6%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0398  acc: 0.6069  lr: 0.0002 
ep/it:104- 317 niter: 40150  195m 31s (- 2602m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.3197  loss_TTT: 0.0390  acc: 0.6142  lr: 0.0002 
ep/it:104- 367 niter: 40200  195m 45s (- 2601m 50s) completed:  6%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0402  acc: 0.6072  lr: 0.0002 
Validation time:
Validation loss:1.477, accuracy:0.588
ep/it:105-  34 niter: 40250  196m 1s (- 2601m 56s) completed:  7%) loss_emb: 0.0000  loss: 1.3759  loss_TTT: 0.0402  acc: 0.5985  lr: 0.0002 
ep/it:105-  84 niter: 40300  196m 15s (- 2601m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0390  acc: 0.6089  lr: 0.0002 
ep/it:105- 134 niter: 40350  196m 29s (- 2601m 9s) completed:  7%) loss_emb: 0.0000  loss: 1.3450  loss_TTT: 0.0394  acc: 0.6081  lr: 0.0002 
ep/it:105- 184 niter: 40400  196m 43s (- 2600m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.3279  loss_TTT: 0.0414  acc: 0.6116  lr: 0.0002 
ep/it:105- 234 niter: 40450  196m 57s (- 2600m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.3469  loss_TTT: 0.0429  acc: 0.6083  lr: 0.0002 
ep/it:105- 284 niter: 40500  197m 12s (- 2600m 10s) completed:  7%) loss_emb: 0.0000  loss: 1.3481  loss_TTT: 0.0424  acc: 0.6068  lr: 0.0002 
ep/it:105- 334 niter: 40550  197m 26s (- 2599m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.3238  loss_TTT: 0.0398  acc: 0.6146  lr: 0.0002 
Validation time:
Validation loss:1.503, accuracy:0.583
ep/it:106-   1 niter: 40600  197m 43s (- 2600m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0409  acc: 0.6091  lr: 0.0002 
ep/it:106-  51 niter: 40650  197m 57s (- 2599m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.3222  loss_TTT: 0.0396  acc: 0.6151  lr: 0.0002 
ep/it:106- 101 niter: 40700  198m 12s (- 2599m 36s) completed:  7%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0400  acc: 0.6086  lr: 0.0002 
ep/it:106- 151 niter: 40750  198m 26s (- 2599m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.3240  loss_TTT: 0.0396  acc: 0.6128  lr: 0.0002 
ep/it:106- 201 niter: 40800  198m 40s (- 2598m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.3450  loss_TTT: 0.0401  acc: 0.6079  lr: 0.0002 
ep/it:106- 251 niter: 40850  198m 54s (- 2598m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0387  acc: 0.6078  lr: 0.0002 
ep/it:106- 301 niter: 40900  199m 8s (- 2598m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0401  acc: 0.6090  lr: 0.0002 
ep/it:106- 351 niter: 40950  199m 21s (- 2597m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0416  acc: 0.5988  lr: 0.0002 
Validation time:
Validation loss:1.490, accuracy:0.586
ep/it:107-  18 niter: 41000  199m 38s (- 2597m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.3103  loss_TTT: 0.0433  acc: 0.6187  lr: 0.0002 
ep/it:107-  68 niter: 41050  199m 52s (- 2597m 22s) completed:  7%) loss_emb: 0.0000  loss: 1.3399  loss_TTT: 0.0414  acc: 0.6102  lr: 0.0002 
ep/it:107- 118 niter: 41100  200m 6s (- 2596m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0395  acc: 0.6069  lr: 0.0002 
ep/it:107- 168 niter: 41150  200m 20s (- 2596m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0383  acc: 0.6058  lr: 0.0002 
ep/it:107- 218 niter: 41200  200m 33s (- 2596m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.3076  loss_TTT: 0.0399  acc: 0.6186  lr: 0.0002 
ep/it:107- 268 niter: 41250  200m 47s (- 2595m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.3363  loss_TTT: 0.0382  acc: 0.6101  lr: 0.0002 
ep/it:107- 318 niter: 41300  201m 1s (- 2595m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.3404  loss_TTT: 0.0407  acc: 0.6090  lr: 0.0002 
ep/it:107- 368 niter: 41350  201m 14s (- 2594m 46s) completed:  7%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0393  acc: 0.6038  lr: 0.0002 
Validation time:
Validation loss:1.453, accuracy:0.594
Improved accuracy from 0.59 to 0.5944379464439724!!!
ep/it:108-  35 niter: 41400  201m 31s (- 2594m 58s) completed:  7%) loss_emb: 0.0000  loss: 1.3267  loss_TTT: 0.0406  acc: 0.6123  lr: 0.0002 
ep/it:108-  85 niter: 41450  201m 45s (- 2594m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0390  acc: 0.6082  lr: 0.0002 
ep/it:108- 135 niter: 41500  201m 59s (- 2594m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0380  acc: 0.6081  lr: 0.0002 
ep/it:108- 185 niter: 41550  202m 13s (- 2593m 55s) completed:  7%) loss_emb: 0.0000  loss: 1.3322  loss_TTT: 0.0411  acc: 0.6112  lr: 0.0002 
ep/it:108- 235 niter: 41600  202m 27s (- 2593m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.3279  loss_TTT: 0.0392  acc: 0.6139  lr: 0.0002 
ep/it:108- 285 niter: 41650  202m 40s (- 2593m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.3238  loss_TTT: 0.0392  acc: 0.6139  lr: 0.0002 
ep/it:108- 335 niter: 41700  202m 54s (- 2592m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.3382  loss_TTT: 0.0403  acc: 0.6093  lr: 0.0002 
Validation time:
Validation loss:1.484, accuracy:0.587
ep/it:109-   2 niter: 41750  203m 10s (- 2592m 38s) completed:  7%) loss_emb: 0.0000  loss: 1.3227  loss_TTT: 0.0409  acc: 0.6142  lr: 0.0002 
ep/it:109-  52 niter: 41800  203m 24s (- 2592m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.3236  loss_TTT: 0.0409  acc: 0.6130  lr: 0.0002 
ep/it:109- 102 niter: 41850  203m 38s (- 2591m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0396  acc: 0.6055  lr: 0.0002 
ep/it:109- 152 niter: 41900  203m 52s (- 2591m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.3223  loss_TTT: 0.0380  acc: 0.6134  lr: 0.0002 
ep/it:109- 202 niter: 41950  204m 6s (- 2591m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0382  acc: 0.6061  lr: 0.0002 
ep/it:109- 252 niter: 42000  204m 20s (- 2590m 41s) completed:  7%) loss_emb: 0.0000  loss: 1.3312  loss_TTT: 0.0405  acc: 0.6111  lr: 0.0002 
ep/it:109- 302 niter: 42050  204m 34s (- 2590m 22s) completed:  7%) loss_emb: 0.0000  loss: 1.3259  loss_TTT: 0.0396  acc: 0.6130  lr: 0.0002 
ep/it:109- 352 niter: 42100  204m 48s (- 2590m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.3291  loss_TTT: 0.0408  acc: 0.6118  lr: 0.0002 
Validation time:
Validation loss:1.585, accuracy:0.566

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.05it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.38it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.73it/s]
100%|██████████| 47/47 [00:05<00:00,  8.09it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4531086147762835 avg: 2.4531086147762835
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.455887797754258 avg: 2.4544982062652707
--> 	 Eva. Repeat 22 :, FID. 0.2228, Diversity Real. 9.2025, Diversity. 10.0939, R_precision_real. [0.51367188 0.69726562 0.79882812], R_precision. [0.46582031 0.64550781 0.76855469], matching_score_real. 2.9357, matching_score_pred. 3.2226, skate_ratio. 0.0394, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.6074 (traj_fail_50cm (Traj err)): 0.3535 (kps_fail_20cm): 0.4280 (kps_fail_50cm (Loc. err)): 0.2234 (kps_mean_err(m) (Avg. err)): 0.4040 
ep/it:110-  19 niter: 42150  205m 11s (- 2591m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0428  acc: 0.6031  lr: 0.0002 
ep/it:110-  69 niter: 42200  205m 25s (- 2591m 12s) completed:  7%) loss_emb: 0.0000  loss: 1.4052  loss_TTT: 0.0427  acc: 0.5962  lr: 0.0002 
ep/it:110- 119 niter: 42250  205m 39s (- 2590m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0428  acc: 0.6016  lr: 0.0002 
ep/it:110- 169 niter: 42300  205m 53s (- 2590m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0387  acc: 0.6030  lr: 0.0002 
ep/it:110- 219 niter: 42350  206m 7s (- 2590m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.3333  loss_TTT: 0.0381  acc: 0.6106  lr: 0.0002 
ep/it:110- 269 niter: 42400  206m 21s (- 2589m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0408  acc: 0.5988  lr: 0.0002 
ep/it:110- 319 niter: 42450  206m 35s (- 2589m 24s) completed:  7%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0395  acc: 0.6038  lr: 0.0002 
ep/it:110- 369 niter: 42500  206m 49s (- 2589m 0s) completed:  7%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0405  acc: 0.6047  lr: 0.0002 
Validation time:
Validation loss:1.494, accuracy:0.585
ep/it:111-  36 niter: 42550  207m 6s (- 2589m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.3810  loss_TTT: 0.0392  acc: 0.5982  lr: 0.0002 
ep/it:111-  86 niter: 42600  207m 20s (- 2588m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.5366  loss_TTT: 0.0512  acc: 0.5715  lr: 0.0002 
ep/it:111- 136 niter: 42650  207m 34s (- 2588m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.4604  loss_TTT: 0.0483  acc: 0.5861  lr: 0.0002 
ep/it:111- 186 niter: 42700  207m 47s (- 2588m 0s) completed:  7%) loss_emb: 0.0000  loss: 1.4300  loss_TTT: 0.0466  acc: 0.5919  lr: 0.0002 
ep/it:111- 236 niter: 42750  208m 1s (- 2587m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.3999  loss_TTT: 0.0468  acc: 0.5999  lr: 0.0002 
ep/it:111- 286 niter: 42800  208m 15s (- 2587m 6s) completed:  7%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0470  acc: 0.5991  lr: 0.0002 
ep/it:111- 336 niter: 42850  208m 29s (- 2586m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0454  acc: 0.6011  lr: 0.0002 
Validation time:
Validation loss:1.562, accuracy:0.571
ep/it:112-   3 niter: 42900  208m 45s (- 2586m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.3574  loss_TTT: 0.0384  acc: 0.6084  lr: 0.0002 
ep/it:112-  53 niter: 42950  208m 59s (- 2586m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0437  acc: 0.5960  lr: 0.0002 
ep/it:112- 103 niter: 43000  209m 13s (- 2586m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0424  acc: 0.6005  lr: 0.0002 
ep/it:112- 153 niter: 43050  209m 28s (- 2585m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.3957  loss_TTT: 0.0437  acc: 0.5976  lr: 0.0002 
ep/it:112- 203 niter: 43100  209m 42s (- 2585m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.3636  loss_TTT: 0.0436  acc: 0.6063  lr: 0.0002 
ep/it:112- 253 niter: 43150  209m 56s (- 2585m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0401  acc: 0.6087  lr: 0.0002 
ep/it:112- 303 niter: 43200  210m 9s (- 2584m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.4062  loss_TTT: 0.0418  acc: 0.5959  lr: 0.0002 
ep/it:112- 353 niter: 43250  210m 23s (- 2584m 17s) completed:  7%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0451  acc: 0.6025  lr: 0.0002 
Validation time:
Validation loss:1.524, accuracy:0.580
ep/it:113-  20 niter: 43300  210m 39s (- 2584m 21s) completed:  7%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0436  acc: 0.5948  lr: 0.0002 
ep/it:113-  70 niter: 43350  210m 53s (- 2583m 58s) completed:  7%) loss_emb: 0.0000  loss: 1.3800  loss_TTT: 0.0424  acc: 0.6022  lr: 0.0002 
ep/it:113- 120 niter: 43400  211m 7s (- 2583m 35s) completed:  7%) loss_emb: 0.0000  loss: 1.4056  loss_TTT: 0.0423  acc: 0.5956  lr: 0.0002 
ep/it:113- 170 niter: 43450  211m 21s (- 2583m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0436  acc: 0.6044  lr: 0.0002 
ep/it:113- 220 niter: 43500  211m 35s (- 2582m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.3527  loss_TTT: 0.0414  acc: 0.6076  lr: 0.0002 
ep/it:113- 270 niter: 43550  211m 49s (- 2582m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0420  acc: 0.6030  lr: 0.0002 
ep/it:113- 320 niter: 43600  212m 3s (- 2582m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0415  acc: 0.6022  lr: 0.0002 
ep/it:113- 370 niter: 43650  212m 17s (- 2581m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.3672  loss_TTT: 0.0427  acc: 0.6049  lr: 0.0002 
Validation time:
Validation loss:1.555, accuracy:0.572
ep/it:114-  37 niter: 43700  212m 33s (- 2581m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0427  acc: 0.6102  lr: 0.0002 
ep/it:114-  87 niter: 43750  212m 47s (- 2581m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.3451  loss_TTT: 0.0415  acc: 0.6106  lr: 0.0002 
ep/it:114- 137 niter: 43800  213m 1s (- 2581m 2s) completed:  7%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0410  acc: 0.6096  lr: 0.0002 
ep/it:114- 187 niter: 43850  213m 15s (- 2580m 38s) completed:  7%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0410  acc: 0.6108  lr: 0.0002 
ep/it:114- 237 niter: 43900  213m 29s (- 2580m 18s) completed:  7%) loss_emb: 0.0000  loss: 1.4172  loss_TTT: 0.0439  acc: 0.5935  lr: 0.0002 
ep/it:114- 287 niter: 43950  213m 42s (- 2579m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0451  acc: 0.6013  lr: 0.0002 
ep/it:114- 337 niter: 44000  213m 56s (- 2579m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0454  acc: 0.5992  lr: 0.0002 
Validation time:
Validation loss:1.467, accuracy:0.594
ep/it:115-   4 niter: 44050  214m 13s (- 2579m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0420  acc: 0.6098  lr: 0.0002 
ep/it:115-  54 niter: 44100  214m 27s (- 2579m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.3625  loss_TTT: 0.0411  acc: 0.6062  lr: 0.0002 
ep/it:115- 104 niter: 44150  214m 41s (- 2578m 55s) completed:  7%) loss_emb: 0.0000  loss: 1.3921  loss_TTT: 0.0424  acc: 0.5977  lr: 0.0002 
ep/it:115- 154 niter: 44200  214m 55s (- 2578m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0418  acc: 0.6045  lr: 0.0002 
ep/it:115- 204 niter: 44250  215m 9s (- 2578m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.3373  loss_TTT: 0.0425  acc: 0.6127  lr: 0.0002 
ep/it:115- 254 niter: 44300  215m 22s (- 2577m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.3389  loss_TTT: 0.0403  acc: 0.6115  lr: 0.0002 
ep/it:115- 304 niter: 44350  215m 37s (- 2577m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.3663  loss_TTT: 0.0420  acc: 0.6046  lr: 0.0002 
ep/it:115- 354 niter: 44400  215m 51s (- 2577m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0409  acc: 0.5978  lr: 0.0002 
Validation time:
Validation loss:1.557, accuracy:0.570
ep/it:116-  21 niter: 44450  216m 8s (- 2577m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0408  acc: 0.6064  lr: 0.0002 
ep/it:116-  71 niter: 44500  216m 22s (- 2577m 6s) completed:  7%) loss_emb: 0.0000  loss: 1.3326  loss_TTT: 0.0407  acc: 0.6124  lr: 0.0002 
ep/it:116- 121 niter: 44550  216m 37s (- 2576m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0398  acc: 0.6068  lr: 0.0002 
ep/it:116- 171 niter: 44600  216m 51s (- 2576m 32s) completed:  7%) loss_emb: 0.0000  loss: 1.3556  loss_TTT: 0.0427  acc: 0.6065  lr: 0.0002 
ep/it:116- 221 niter: 44650  217m 5s (- 2576m 9s) completed:  7%) loss_emb: 0.0000  loss: 1.3709  loss_TTT: 0.0424  acc: 0.6031  lr: 0.0002 
ep/it:116- 271 niter: 44700  217m 19s (- 2575m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.4431  loss_TTT: 0.0494  acc: 0.5906  lr: 0.0002 
ep/it:116- 321 niter: 44750  217m 33s (- 2575m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.4657  loss_TTT: 0.0525  acc: 0.5895  lr: 0.0002 
ep/it:116- 371 niter: 44800  217m 47s (- 2575m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.4611  loss_TTT: 0.0478  acc: 0.5865  lr: 0.0002 
Validation time:
Validation loss:1.604, accuracy:0.564
ep/it:117-  38 niter: 44850  218m 4s (- 2575m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.4453  loss_TTT: 0.0460  acc: 0.5882  lr: 0.0002 
ep/it:117-  88 niter: 44900  218m 18s (- 2574m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0477  acc: 0.5886  lr: 0.0002 
ep/it:117- 138 niter: 44950  218m 32s (- 2574m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.5576  loss_TTT: 0.0585  acc: 0.5723  lr: 0.0002 
ep/it:117- 188 niter: 45000  218m 46s (- 2574m 9s) completed:  7%) loss_emb: 0.0000  loss: 1.4888  loss_TTT: 0.0505  acc: 0.5837  lr: 0.0002 
ep/it:117- 238 niter: 45050  219m 0s (- 2573m 47s) completed:  7%) loss_emb: 0.0000  loss: 1.4856  loss_TTT: 0.0524  acc: 0.5851  lr: 0.0002 
ep/it:117- 288 niter: 45100  219m 13s (- 2573m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.4777  loss_TTT: 0.0508  acc: 0.5853  lr: 0.0002 
ep/it:117- 338 niter: 45150  219m 28s (- 2573m 5s) completed:  7%) loss_emb: 0.0000  loss: 1.4885  loss_TTT: 0.0517  acc: 0.5796  lr: 0.0002 
Validation time:
Validation loss:1.597, accuracy:0.565
ep/it:118-   5 niter: 45200  219m 44s (- 2573m 11s) completed:  7%) loss_emb: 0.0000  loss: 1.4409  loss_TTT: 0.0485  acc: 0.5908  lr: 0.0002 
ep/it:118-  55 niter: 45250  219m 58s (- 2572m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.4659  loss_TTT: 0.0485  acc: 0.5833  lr: 0.0002 
ep/it:118- 105 niter: 45300  220m 12s (- 2572m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0441  acc: 0.5999  lr: 0.0002 
ep/it:118- 155 niter: 45350  220m 27s (- 2572m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0452  acc: 0.6008  lr: 0.0002 
ep/it:118- 205 niter: 45400  220m 40s (- 2571m 49s) completed:  7%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0421  acc: 0.5925  lr: 0.0002 
ep/it:118- 255 niter: 45450  220m 54s (- 2571m 27s) completed:  7%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0453  acc: 0.5957  lr: 0.0002 
ep/it:118- 305 niter: 45500  221m 8s (- 2571m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.3863  loss_TTT: 0.0459  acc: 0.6011  lr: 0.0002 
ep/it:118- 355 niter: 45550  221m 22s (- 2570m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0428  acc: 0.6039  lr: 0.0002 
Validation time:
Validation loss:1.541, accuracy:0.577
ep/it:119-  22 niter: 45600  221m 38s (- 2570m 49s) completed:  7%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0423  acc: 0.5971  lr: 0.0002 
ep/it:119-  72 niter: 45650  221m 52s (- 2570m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0457  acc: 0.6059  lr: 0.0002 
ep/it:119- 122 niter: 45700  222m 7s (- 2570m 9s) completed:  7%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0443  acc: 0.5998  lr: 0.0002 
ep/it:119- 172 niter: 45750  222m 21s (- 2569m 49s) completed:  7%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0422  acc: 0.6048  lr: 0.0002 
ep/it:119- 222 niter: 45800  222m 35s (- 2569m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0417  acc: 0.6094  lr: 0.0002 
ep/it:119- 272 niter: 45850  222m 49s (- 2569m 5s) completed:  7%) loss_emb: 0.0000  loss: 1.3452  loss_TTT: 0.0420  acc: 0.6111  lr: 0.0002 
ep/it:119- 322 niter: 45900  223m 2s (- 2568m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0420  acc: 0.6076  lr: 0.0002 
ep/it:119- 372 niter: 45950  223m 16s (- 2568m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0436  acc: 0.6047  lr: 0.0002 
Validation time:
Validation loss:1.560, accuracy:0.573

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.99it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.41it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.66it/s]
100%|██████████| 47/47 [00:05<00:00,  8.01it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4523334889672697 avg: 2.4523334889672697
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4501816742122173 avg: 2.4512575815897435
--> 	 Eva. Repeat 22 :, FID. 0.1732, Diversity Real. 9.4174, Diversity. 9.7988, R_precision_real. [0.51367188 0.69824219 0.81445312], R_precision. [0.49707031 0.69433594 0.79492188], matching_score_real. 2.9113, matching_score_pred. 3.0207, skate_ratio. 0.0473, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5732 (traj_fail_50cm (Traj err)): 0.3438 (kps_fail_20cm): 0.4108 (kps_fail_50cm (Loc. err)): 0.2244 (kps_mean_err(m) (Avg. err)): 0.4356 
ep/it:120-  39 niter: 46000  223m 40s (- 2569m 44s) completed:  8%) loss_emb: 0.0000  loss: 1.3708  loss_TTT: 0.0429  acc: 0.6037  lr: 0.0002 
ep/it:120-  89 niter: 46050  223m 54s (- 2569m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0425  acc: 0.6047  lr: 0.0002 
ep/it:120- 139 niter: 46100  224m 7s (- 2569m 1s) completed:  8%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0416  acc: 0.6012  lr: 0.0002 
ep/it:120- 189 niter: 46150  224m 22s (- 2568m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0428  acc: 0.5991  lr: 0.0002 
ep/it:120- 239 niter: 46200  224m 35s (- 2568m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.3685  loss_TTT: 0.0431  acc: 0.6050  lr: 0.0002 
ep/it:120- 289 niter: 46250  224m 50s (- 2567m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.3364  loss_TTT: 0.0403  acc: 0.6123  lr: 0.0002 
ep/it:120- 339 niter: 46300  225m 4s (- 2567m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0419  acc: 0.5973  lr: 0.0002 
Validation time:
Validation loss:1.511, accuracy:0.583
ep/it:121-   6 niter: 46350  225m 20s (- 2567m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0415  acc: 0.6034  lr: 0.0002 
ep/it:121-  56 niter: 46400  225m 34s (- 2567m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3422  loss_TTT: 0.0410  acc: 0.6107  lr: 0.0002 
ep/it:121- 106 niter: 46450  225m 48s (- 2567m 1s) completed:  8%) loss_emb: 0.0000  loss: 1.4191  loss_TTT: 0.0464  acc: 0.5923  lr: 0.0002 
ep/it:121- 156 niter: 46500  226m 2s (- 2566m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0423  acc: 0.5995  lr: 0.0002 
ep/it:121- 206 niter: 46550  226m 16s (- 2566m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.3778  loss_TTT: 0.0414  acc: 0.6012  lr: 0.0002 
ep/it:121- 256 niter: 46600  226m 30s (- 2565m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0423  acc: 0.6025  lr: 0.0002 
ep/it:121- 306 niter: 46650  226m 43s (- 2565m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3694  loss_TTT: 0.0413  acc: 0.6028  lr: 0.0002 
ep/it:121- 356 niter: 46700  226m 57s (- 2564m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0411  acc: 0.6054  lr: 0.0002 
Validation time:
Validation loss:1.514, accuracy:0.581
ep/it:122-  23 niter: 46750  227m 13s (- 2565m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0427  acc: 0.5993  lr: 0.0002 
ep/it:122-  73 niter: 46800  227m 27s (- 2564m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.3748  loss_TTT: 0.0415  acc: 0.6027  lr: 0.0002 
ep/it:122- 123 niter: 46850  227m 41s (- 2564m 28s) completed:  8%) loss_emb: 0.0000  loss: 1.3649  loss_TTT: 0.0424  acc: 0.6051  lr: 0.0002 
ep/it:122- 173 niter: 46900  227m 56s (- 2564m 10s) completed:  8%) loss_emb: 0.0000  loss: 1.3787  loss_TTT: 0.0440  acc: 0.6015  lr: 0.0002 
ep/it:122- 223 niter: 46950  228m 10s (- 2563m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.3477  loss_TTT: 0.0439  acc: 0.6105  lr: 0.0002 
ep/it:122- 273 niter: 47000  228m 24s (- 2563m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0396  acc: 0.6071  lr: 0.0002 
ep/it:122- 323 niter: 47050  228m 39s (- 2563m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0416  acc: 0.6076  lr: 0.0002 
ep/it:122- 373 niter: 47100  228m 53s (- 2562m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.3766  loss_TTT: 0.0422  acc: 0.6018  lr: 0.0002 
Validation time:
Validation loss:1.530, accuracy:0.575
ep/it:123-  40 niter: 47150  229m 10s (- 2563m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.3350  loss_TTT: 0.0396  acc: 0.6132  lr: 0.0002 
ep/it:123-  90 niter: 47200  229m 24s (- 2562m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0410  acc: 0.5994  lr: 0.0002 
ep/it:123- 140 niter: 47250  229m 39s (- 2562m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0424  acc: 0.6065  lr: 0.0002 
ep/it:123- 190 niter: 47300  229m 52s (- 2562m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.3728  loss_TTT: 0.0398  acc: 0.6027  lr: 0.0002 
ep/it:123- 240 niter: 47350  230m 6s (- 2561m 49s) completed:  8%) loss_emb: 0.0000  loss: 1.3764  loss_TTT: 0.0458  acc: 0.6018  lr: 0.0002 
ep/it:123- 290 niter: 47400  230m 20s (- 2561m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0424  acc: 0.6097  lr: 0.0002 
ep/it:123- 340 niter: 47450  230m 33s (- 2561m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0405  acc: 0.6062  lr: 0.0002 
Validation time:
Validation loss:1.539, accuracy:0.573
ep/it:124-   7 niter: 47500  230m 50s (- 2561m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.3468  loss_TTT: 0.0413  acc: 0.6093  lr: 0.0002 
ep/it:124-  57 niter: 47550  231m 4s (- 2560m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.3752  loss_TTT: 0.0391  acc: 0.6021  lr: 0.0002 
ep/it:124- 107 niter: 47600  231m 18s (- 2560m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.3314  loss_TTT: 0.0410  acc: 0.6121  lr: 0.0002 
ep/it:124- 157 niter: 47650  231m 33s (- 2560m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.3534  loss_TTT: 0.0434  acc: 0.6080  lr: 0.0002 
ep/it:124- 207 niter: 47700  231m 47s (- 2559m 56s) completed:  8%) loss_emb: 0.0000  loss: 1.3340  loss_TTT: 0.0425  acc: 0.6129  lr: 0.0002 
ep/it:124- 257 niter: 47750  232m 1s (- 2559m 33s) completed:  8%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0414  acc: 0.6093  lr: 0.0002 
ep/it:124- 307 niter: 47800  232m 15s (- 2559m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3822  loss_TTT: 0.0430  acc: 0.6011  lr: 0.0002 
ep/it:124- 357 niter: 47850  232m 29s (- 2558m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.3776  loss_TTT: 0.0413  acc: 0.6002  lr: 0.0002 
Validation time:
Validation loss:1.501, accuracy:0.585
ep/it:125-  24 niter: 47900  232m 45s (- 2558m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.3102  loss_TTT: 0.0410  acc: 0.6199  lr: 0.0002 
ep/it:125-  74 niter: 47950  233m 0s (- 2558m 43s) completed:  8%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0427  acc: 0.6084  lr: 0.0002 
ep/it:125- 124 niter: 48000  233m 14s (- 2558m 26s) completed:  8%) loss_emb: 0.0000  loss: 1.3573  loss_TTT: 0.0415  acc: 0.6082  lr: 0.0002 
ep/it:125- 174 niter: 48050  233m 29s (- 2558m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0432  acc: 0.6055  lr: 0.0002 
ep/it:125- 224 niter: 48100  233m 44s (- 2557m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0402  acc: 0.6039  lr: 0.0002 
ep/it:125- 274 niter: 48150  233m 58s (- 2557m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0408  acc: 0.6067  lr: 0.0002 
ep/it:125- 324 niter: 48200  234m 12s (- 2557m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.3322  loss_TTT: 0.0386  acc: 0.6123  lr: 0.0002 
ep/it:125- 374 niter: 48250  234m 26s (- 2556m 56s) completed:  8%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0414  acc: 0.6081  lr: 0.0002 
Validation time:
Validation loss:1.508, accuracy:0.582
ep/it:126-  41 niter: 48300  234m 43s (- 2557m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.3706  loss_TTT: 0.0408  acc: 0.6030  lr: 0.0002 
ep/it:126-  91 niter: 48350  234m 57s (- 2556m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0430  acc: 0.6018  lr: 0.0002 
ep/it:126- 141 niter: 48400  235m 12s (- 2556m 38s) completed:  8%) loss_emb: 0.0000  loss: 1.3449  loss_TTT: 0.0429  acc: 0.6103  lr: 0.0002 
ep/it:126- 191 niter: 48450  235m 26s (- 2556m 22s) completed:  8%) loss_emb: 0.0000  loss: 1.4047  loss_TTT: 0.0452  acc: 0.5964  lr: 0.0002 
ep/it:126- 241 niter: 48500  235m 41s (- 2556m 10s) completed:  8%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0405  acc: 0.6041  lr: 0.0002 
ep/it:126- 291 niter: 48550  235m 56s (- 2555m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0418  acc: 0.6015  lr: 0.0002 
ep/it:126- 341 niter: 48600  236m 10s (- 2555m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.3615  loss_TTT: 0.0435  acc: 0.6059  lr: 0.0002 
Validation time:
Validation loss:1.518, accuracy:0.581
ep/it:127-   8 niter: 48650  236m 27s (- 2555m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.3664  loss_TTT: 0.0430  acc: 0.6040  lr: 0.0002 
ep/it:127-  58 niter: 48700  236m 41s (- 2555m 29s) completed:  8%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0452  acc: 0.6070  lr: 0.0002 
ep/it:127- 108 niter: 48750  236m 55s (- 2555m 12s) completed:  8%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0426  acc: 0.6070  lr: 0.0002 
ep/it:127- 158 niter: 48800  237m 9s (- 2554m 53s) completed:  8%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0434  acc: 0.6061  lr: 0.0002 
ep/it:127- 208 niter: 48850  237m 24s (- 2554m 33s) completed:  8%) loss_emb: 0.0000  loss: 1.3564  loss_TTT: 0.0436  acc: 0.6076  lr: 0.0002 
ep/it:127- 258 niter: 48900  237m 38s (- 2554m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0430  acc: 0.6016  lr: 0.0002 
ep/it:127- 308 niter: 48950  237m 53s (- 2554m 1s) completed:  8%) loss_emb: 0.0000  loss: 1.3574  loss_TTT: 0.0402  acc: 0.6078  lr: 0.0002 
ep/it:127- 358 niter: 49000  238m 6s (- 2553m 38s) completed:  8%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0396  acc: 0.6085  lr: 0.0002 
Validation time:
Validation loss:1.521, accuracy:0.579
ep/it:128-  25 niter: 49050  238m 24s (- 2553m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.3417  loss_TTT: 0.0431  acc: 0.6085  lr: 0.0002 
ep/it:128-  75 niter: 49100  238m 38s (- 2553m 38s) completed:  8%) loss_emb: 0.0000  loss: 1.3618  loss_TTT: 0.0397  acc: 0.6051  lr: 0.0002 
ep/it:128- 125 niter: 49150  238m 53s (- 2553m 22s) completed:  8%) loss_emb: 0.0000  loss: 1.3546  loss_TTT: 0.0410  acc: 0.6074  lr: 0.0002 
ep/it:128- 175 niter: 49200  239m 7s (- 2553m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0421  acc: 0.6068  lr: 0.0002 
ep/it:128- 225 niter: 49250  239m 21s (- 2552m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0421  acc: 0.6085  lr: 0.0002 
ep/it:128- 275 niter: 49300  239m 35s (- 2552m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3493  loss_TTT: 0.0407  acc: 0.6073  lr: 0.0002 
ep/it:128- 325 niter: 49350  239m 49s (- 2552m 3s) completed:  8%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0405  acc: 0.6029  lr: 0.0002 
ep/it:128- 375 niter: 49400  240m 3s (- 2551m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.3305  loss_TTT: 0.0397  acc: 0.6132  lr: 0.0002 
Validation time:
Validation loss:1.473, accuracy:0.591
ep/it:129-  42 niter: 49450  240m 19s (- 2551m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.3347  loss_TTT: 0.0382  acc: 0.6109  lr: 0.0002 
ep/it:129-  92 niter: 49500  240m 33s (- 2551m 26s) completed:  8%) loss_emb: 0.0000  loss: 1.3498  loss_TTT: 0.0397  acc: 0.6079  lr: 0.0002 
ep/it:129- 142 niter: 49550  240m 48s (- 2551m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0422  acc: 0.6097  lr: 0.0002 
ep/it:129- 192 niter: 49600  241m 2s (- 2550m 49s) completed:  8%) loss_emb: 0.0000  loss: 1.3452  loss_TTT: 0.0402  acc: 0.6086  lr: 0.0002 
ep/it:129- 242 niter: 49650  241m 15s (- 2550m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.3535  loss_TTT: 0.0423  acc: 0.6077  lr: 0.0002 
ep/it:129- 292 niter: 49700  241m 29s (- 2550m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.3417  loss_TTT: 0.0416  acc: 0.6129  lr: 0.0002 
ep/it:129- 342 niter: 49750  241m 43s (- 2549m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0440  acc: 0.6084  lr: 0.0002 
Validation time:
Validation loss:1.567, accuracy:0.569

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.39it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.16it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.62it/s]
100%|██████████| 47/47 [00:06<00:00,  7.77it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.487618947867304 avg: 2.487618947867304
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4586772210896015 avg: 2.473148084478453
--> 	 Eva. Repeat 22 :, FID. 0.1534, Diversity Real. 9.5965, Diversity. 9.5053, R_precision_real. [0.52050781 0.69824219 0.78710938], R_precision. [0.51464844 0.7109375  0.79980469], matching_score_real. 2.8782, matching_score_pred. 2.9885, skate_ratio. 0.0407, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5684 (traj_fail_50cm (Traj err)): 0.3428 (kps_fail_20cm): 0.4113 (kps_fail_50cm (Loc. err)): 0.2319 (kps_mean_err(m) (Avg. err)): 0.4132 
ep/it:130-   9 niter: 49800  242m 6s (- 2550m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0431  acc: 0.6042  lr: 0.0002 
ep/it:130-  59 niter: 49850  242m 20s (- 2550m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.3829  loss_TTT: 0.0405  acc: 0.6005  lr: 0.0002 
ep/it:130- 109 niter: 49900  242m 34s (- 2550m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.5281  loss_TTT: 0.0587  acc: 0.5750  lr: 0.0002 
ep/it:130- 159 niter: 49950  242m 48s (- 2549m 53s) completed:  8%) loss_emb: 0.0000  loss: 1.5106  loss_TTT: 0.0520  acc: 0.5782  lr: 0.0002 
ep/it:130- 209 niter: 50000  243m 2s (- 2549m 32s) completed:  8%) loss_emb: 0.0000  loss: 1.4678  loss_TTT: 0.0494  acc: 0.5852  lr: 0.0002 
ep/it:130- 259 niter: 50050  243m 17s (- 2549m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.4516  loss_TTT: 0.0467  acc: 0.5894  lr: 0.0000 
ep/it:130- 309 niter: 50100  243m 31s (- 2548m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0452  acc: 0.5946  lr: 0.0000 
ep/it:130- 359 niter: 50150  243m 45s (- 2548m 40s) completed:  8%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0448  acc: 0.5908  lr: 0.0000 
Validation time:
Validation loss:1.638, accuracy:0.557
ep/it:131-  26 niter: 50200  244m 2s (- 2548m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0463  acc: 0.5903  lr: 0.0000 
ep/it:131-  76 niter: 50250  244m 17s (- 2548m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.4169  loss_TTT: 0.0453  acc: 0.5963  lr: 0.0000 
ep/it:131- 126 niter: 50300  244m 31s (- 2548m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.4423  loss_TTT: 0.0460  acc: 0.5891  lr: 0.0000 
ep/it:131- 176 niter: 50350  244m 46s (- 2548m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0446  acc: 0.5951  lr: 0.0000 
ep/it:131- 226 niter: 50400  245m 0s (- 2547m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0433  acc: 0.6000  lr: 0.0000 
ep/it:131- 276 niter: 50450  245m 14s (- 2547m 26s) completed:  8%) loss_emb: 0.0000  loss: 1.4245  loss_TTT: 0.0456  acc: 0.5933  lr: 0.0000 
ep/it:131- 326 niter: 50500  245m 28s (- 2547m 6s) completed:  8%) loss_emb: 0.0000  loss: 1.4472  loss_TTT: 0.0432  acc: 0.5868  lr: 0.0000 
ep/it:131- 376 niter: 50550  245m 42s (- 2546m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.4303  loss_TTT: 0.0450  acc: 0.5915  lr: 0.0000 
Validation time:
Validation loss:1.598, accuracy:0.564
ep/it:132-  43 niter: 50600  245m 59s (- 2546m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.4276  loss_TTT: 0.0420  acc: 0.5906  lr: 0.0000 
ep/it:132-  93 niter: 50650  246m 13s (- 2546m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0429  acc: 0.5997  lr: 0.0000 
ep/it:132- 143 niter: 50700  246m 27s (- 2546m 14s) completed:  8%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0403  acc: 0.5991  lr: 0.0000 
ep/it:132- 193 niter: 50750  246m 41s (- 2545m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.3812  loss_TTT: 0.0411  acc: 0.6013  lr: 0.0000 
ep/it:132- 243 niter: 50800  246m 55s (- 2545m 36s) completed:  8%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0422  acc: 0.6030  lr: 0.0000 
ep/it:132- 293 niter: 50850  247m 9s (- 2545m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0423  acc: 0.6018  lr: 0.0000 
ep/it:132- 343 niter: 50900  247m 23s (- 2544m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.3791  loss_TTT: 0.0410  acc: 0.6007  lr: 0.0000 
Validation time:
Validation loss:1.564, accuracy:0.567
ep/it:133-  10 niter: 50950  247m 40s (- 2544m 59s) completed:  8%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0399  acc: 0.6038  lr: 0.0000 
ep/it:133-  60 niter: 51000  247m 54s (- 2544m 43s) completed:  8%) loss_emb: 0.0000  loss: 1.3300  loss_TTT: 0.0401  acc: 0.6133  lr: 0.0000 
ep/it:133- 110 niter: 51050  248m 8s (- 2544m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.3263  loss_TTT: 0.0407  acc: 0.6128  lr: 0.0000 
ep/it:133- 160 niter: 51100  248m 23s (- 2544m 6s) completed:  8%) loss_emb: 0.0000  loss: 1.3381  loss_TTT: 0.0395  acc: 0.6114  lr: 0.0000 
ep/it:133- 210 niter: 51150  248m 37s (- 2543m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.3550  loss_TTT: 0.0392  acc: 0.6071  lr: 0.0000 
ep/it:133- 260 niter: 51200  248m 51s (- 2543m 32s) completed:  8%) loss_emb: 0.0000  loss: 1.3082  loss_TTT: 0.0388  acc: 0.6190  lr: 0.0000 
ep/it:133- 310 niter: 51250  249m 5s (- 2543m 12s) completed:  8%) loss_emb: 0.0000  loss: 1.3029  loss_TTT: 0.0390  acc: 0.6204  lr: 0.0000 
ep/it:133- 360 niter: 51300  249m 19s (- 2542m 54s) completed:  8%) loss_emb: 0.0000  loss: 1.3421  loss_TTT: 0.0387  acc: 0.6095  lr: 0.0000 
Validation time:
Validation loss:1.512, accuracy:0.582
ep/it:134-  27 niter: 51350  249m 36s (- 2542m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.3318  loss_TTT: 0.0382  acc: 0.6124  lr: 0.0000 
ep/it:134-  77 niter: 51400  249m 50s (- 2542m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.3249  loss_TTT: 0.0416  acc: 0.6142  lr: 0.0000 
ep/it:134- 127 niter: 51450  250m 4s (- 2542m 14s) completed:  8%) loss_emb: 0.0000  loss: 1.3471  loss_TTT: 0.0394  acc: 0.6085  lr: 0.0000 
ep/it:134- 177 niter: 51500  250m 18s (- 2541m 53s) completed:  8%) loss_emb: 0.0000  loss: 1.3332  loss_TTT: 0.0396  acc: 0.6118  lr: 0.0000 
ep/it:134- 227 niter: 51550  250m 32s (- 2541m 33s) completed:  8%) loss_emb: 0.0000  loss: 1.3207  loss_TTT: 0.0396  acc: 0.6157  lr: 0.0000 
ep/it:134- 277 niter: 51600  250m 45s (- 2541m 10s) completed:  8%) loss_emb: 0.0000  loss: 1.3233  loss_TTT: 0.0394  acc: 0.6139  lr: 0.0000 
ep/it:134- 327 niter: 51650  250m 59s (- 2540m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.3520  loss_TTT: 0.0388  acc: 0.6057  lr: 0.0000 
ep/it:134- 377 niter: 51700  251m 13s (- 2540m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3232  loss_TTT: 0.0384  acc: 0.6146  lr: 0.0000 
Validation time:
Validation loss:1.494, accuracy:0.584
ep/it:135-  44 niter: 51750  251m 29s (- 2540m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.3288  loss_TTT: 0.0374  acc: 0.6134  lr: 0.0000 
ep/it:135-  94 niter: 51800  251m 43s (- 2540m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.3543  loss_TTT: 0.0379  acc: 0.6046  lr: 0.0000 
ep/it:135- 144 niter: 51850  251m 57s (- 2539m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.3231  loss_TTT: 0.0388  acc: 0.6150  lr: 0.0000 
ep/it:135- 194 niter: 51900  252m 11s (- 2539m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.3272  loss_TTT: 0.0389  acc: 0.6139  lr: 0.0000 
ep/it:135- 244 niter: 51950  252m 24s (- 2538m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0402  acc: 0.6033  lr: 0.0000 
ep/it:135- 294 niter: 52000  252m 38s (- 2538m 35s) completed:  9%) loss_emb: 0.0000  loss: 1.3308  loss_TTT: 0.0421  acc: 0.6122  lr: 0.0000 
ep/it:135- 344 niter: 52050  252m 52s (- 2538m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.3253  loss_TTT: 0.0401  acc: 0.6147  lr: 0.0000 
Validation time:
Validation loss:1.509, accuracy:0.580
ep/it:136-  11 niter: 52100  253m 9s (- 2538m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.3240  loss_TTT: 0.0405  acc: 0.6141  lr: 0.0000 
ep/it:136-  61 niter: 52150  253m 23s (- 2537m 59s) completed:  9%) loss_emb: 0.0000  loss: 1.3407  loss_TTT: 0.0399  acc: 0.6099  lr: 0.0000 
ep/it:136- 111 niter: 52200  253m 37s (- 2537m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0397  acc: 0.6078  lr: 0.0000 
ep/it:136- 161 niter: 52250  253m 51s (- 2537m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.3254  loss_TTT: 0.0391  acc: 0.6137  lr: 0.0000 
ep/it:136- 211 niter: 52300  254m 5s (- 2536m 59s) completed:  9%) loss_emb: 0.0000  loss: 1.3381  loss_TTT: 0.0397  acc: 0.6108  lr: 0.0000 
ep/it:136- 261 niter: 52350  254m 19s (- 2536m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0388  acc: 0.6085  lr: 0.0000 
ep/it:136- 311 niter: 52400  254m 33s (- 2536m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.3327  loss_TTT: 0.0376  acc: 0.6117  lr: 0.0000 
ep/it:136- 361 niter: 52450  254m 46s (- 2535m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.3278  loss_TTT: 0.0398  acc: 0.6127  lr: 0.0000 
Validation time:
Validation loss:1.492, accuracy:0.586
ep/it:137-  28 niter: 52500  255m 2s (- 2535m 51s) completed:  9%) loss_emb: 0.0000  loss: 1.3327  loss_TTT: 0.0374  acc: 0.6123  lr: 0.0000 
ep/it:137-  78 niter: 52550  255m 17s (- 2535m 37s) completed:  9%) loss_emb: 0.0000  loss: 1.3489  loss_TTT: 0.0390  acc: 0.6078  lr: 0.0000 
ep/it:137- 128 niter: 52600  255m 31s (- 2535m 23s) completed:  9%) loss_emb: 0.0000  loss: 1.3051  loss_TTT: 0.0394  acc: 0.6188  lr: 0.0000 
ep/it:137- 178 niter: 52650  255m 45s (- 2535m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0409  acc: 0.6233  lr: 0.0000 
ep/it:137- 228 niter: 52700  255m 59s (- 2534m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.3451  loss_TTT: 0.0408  acc: 0.6093  lr: 0.0000 
ep/it:137- 278 niter: 52750  256m 13s (- 2534m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.3125  loss_TTT: 0.0368  acc: 0.6158  lr: 0.0000 
ep/it:137- 328 niter: 52800  256m 27s (- 2533m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.3153  loss_TTT: 0.0395  acc: 0.6169  lr: 0.0000 
ep/it:137- 378 niter: 52850  256m 41s (- 2533m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.3031  loss_TTT: 0.0385  acc: 0.6189  lr: 0.0000 
Validation time:
Validation loss:1.470, accuracy:0.590
ep/it:138-  45 niter: 52900  256m 58s (- 2533m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.3264  loss_TTT: 0.0399  acc: 0.6138  lr: 0.0000 
ep/it:138-  95 niter: 52950  257m 12s (- 2533m 29s) completed:  9%) loss_emb: 0.0000  loss: 1.3312  loss_TTT: 0.0427  acc: 0.6115  lr: 0.0000 
ep/it:138- 145 niter: 53000  257m 26s (- 2533m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.3275  loss_TTT: 0.0393  acc: 0.6126  lr: 0.0000 
ep/it:138- 195 niter: 53050  257m 41s (- 2532m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.3008  loss_TTT: 0.0378  acc: 0.6200  lr: 0.0000 
ep/it:138- 245 niter: 53100  257m 54s (- 2532m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.3291  loss_TTT: 0.0387  acc: 0.6125  lr: 0.0000 
ep/it:138- 295 niter: 53150  258m 8s (- 2532m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.3266  loss_TTT: 0.0388  acc: 0.6130  lr: 0.0000 
ep/it:138- 345 niter: 53200  258m 22s (- 2531m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.3418  loss_TTT: 0.0385  acc: 0.6086  lr: 0.0000 
Validation time:
Validation loss:1.492, accuracy:0.585
ep/it:139-  12 niter: 53250  258m 38s (- 2531m 51s) completed:  9%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0388  acc: 0.6204  lr: 0.0000 
ep/it:139-  62 niter: 53300  258m 53s (- 2531m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.3223  loss_TTT: 0.0410  acc: 0.6145  lr: 0.0000 
ep/it:139- 112 niter: 53350  259m 7s (- 2531m 16s) completed:  9%) loss_emb: 0.0000  loss: 1.3418  loss_TTT: 0.0395  acc: 0.6094  lr: 0.0000 
ep/it:139- 162 niter: 53400  259m 21s (- 2530m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.2991  loss_TTT: 0.0386  acc: 0.6210  lr: 0.0000 
ep/it:139- 212 niter: 53450  259m 35s (- 2530m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.3151  loss_TTT: 0.0388  acc: 0.6165  lr: 0.0000 
ep/it:139- 262 niter: 53500  259m 49s (- 2530m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.3265  loss_TTT: 0.0383  acc: 0.6135  lr: 0.0000 
ep/it:139- 312 niter: 53550  260m 4s (- 2530m 3s) completed:  9%) loss_emb: 0.0000  loss: 1.3375  loss_TTT: 0.0406  acc: 0.6098  lr: 0.0000 
ep/it:139- 362 niter: 53600  260m 18s (- 2529m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.3163  loss_TTT: 0.0389  acc: 0.6148  lr: 0.0000 
Validation time:
Validation loss:1.522, accuracy:0.578

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.83it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.32it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.56it/s]
100%|██████████| 47/47 [00:05<00:00,  7.85it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4514558408409357 avg: 2.4514558408409357
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.449900726787746 avg: 2.450678283814341
--> 	 Eva. Repeat 22 :, FID. 0.1231, Diversity Real. 9.5262, Diversity. 9.6928, R_precision_real. [0.53222656 0.71777344 0.80175781], R_precision. [0.53027344 0.71289062 0.796875  ], matching_score_real. 2.8767, matching_score_pred. 2.9575, skate_ratio. 0.0451, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5371 (traj_fail_50cm (Traj err)): 0.3135 (kps_fail_20cm): 0.3917 (kps_fail_50cm (Loc. err)): 0.2096 (kps_mean_err(m) (Avg. err)): 0.3888 
ep/it:140-  29 niter: 53650  260m 42s (- 2531m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.3427  loss_TTT: 0.0403  acc: 0.6089  lr: 0.0000 
ep/it:140-  79 niter: 53700  260m 56s (- 2530m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.3361  loss_TTT: 0.0388  acc: 0.6099  lr: 0.0000 
ep/it:140- 129 niter: 53750  261m 10s (- 2530m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.3069  loss_TTT: 0.0386  acc: 0.6177  lr: 0.0000 
ep/it:140- 179 niter: 53800  261m 25s (- 2530m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.3287  loss_TTT: 0.0400  acc: 0.6115  lr: 0.0000 
ep/it:140- 229 niter: 53850  261m 39s (- 2529m 49s) completed:  9%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0396  acc: 0.6063  lr: 0.0000 
ep/it:140- 279 niter: 53900  261m 53s (- 2529m 33s) completed:  9%) loss_emb: 0.0000  loss: 1.3211  loss_TTT: 0.0392  acc: 0.6142  lr: 0.0000 
ep/it:140- 329 niter: 53950  262m 7s (- 2529m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.3128  loss_TTT: 0.0388  acc: 0.6164  lr: 0.0000 
ep/it:140- 379 niter: 54000  262m 22s (- 2528m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.3281  loss_TTT: 0.0396  acc: 0.6131  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.596
Improved accuracy from 0.59 to 0.5961914995442266!!!
ep/it:141-  46 niter: 54050  262m 39s (- 2529m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.3081  loss_TTT: 0.0374  acc: 0.6180  lr: 0.0000 
ep/it:141-  96 niter: 54100  262m 53s (- 2528m 49s) completed:  9%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0395  acc: 0.6188  lr: 0.0000 
ep/it:141- 146 niter: 54150  263m 7s (- 2528m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0373  acc: 0.6124  lr: 0.0000 
ep/it:141- 196 niter: 54200  263m 21s (- 2528m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0383  acc: 0.6118  lr: 0.0000 
ep/it:141- 246 niter: 54250  263m 35s (- 2527m 49s) completed:  9%) loss_emb: 0.0000  loss: 1.3284  loss_TTT: 0.0375  acc: 0.6119  lr: 0.0000 
ep/it:141- 296 niter: 54300  263m 49s (- 2527m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0396  acc: 0.6075  lr: 0.0000 
ep/it:141- 346 niter: 54350  264m 3s (- 2527m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.3129  loss_TTT: 0.0399  acc: 0.6173  lr: 0.0000 
Validation time:
Validation loss:1.477, accuracy:0.589
ep/it:142-  13 niter: 54400  264m 19s (- 2527m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.3324  loss_TTT: 0.0384  acc: 0.6109  lr: 0.0000 
ep/it:142-  63 niter: 54450  264m 34s (- 2526m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.3111  loss_TTT: 0.0384  acc: 0.6170  lr: 0.0000 
ep/it:142- 113 niter: 54500  264m 48s (- 2526m 35s) completed:  9%) loss_emb: 0.0000  loss: 1.3333  loss_TTT: 0.0387  acc: 0.6105  lr: 0.0000 
ep/it:142- 163 niter: 54550  265m 2s (- 2526m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.3264  loss_TTT: 0.0381  acc: 0.6125  lr: 0.0000 
ep/it:142- 213 niter: 54600  265m 16s (- 2525m 59s) completed:  9%) loss_emb: 0.0000  loss: 1.3481  loss_TTT: 0.0390  acc: 0.6080  lr: 0.0000 
ep/it:142- 263 niter: 54650  265m 30s (- 2525m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.3060  loss_TTT: 0.0394  acc: 0.6175  lr: 0.0000 
ep/it:142- 313 niter: 54700  265m 44s (- 2525m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0375  acc: 0.6192  lr: 0.0000 
ep/it:142- 363 niter: 54750  265m 58s (- 2525m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.3277  loss_TTT: 0.0387  acc: 0.6136  lr: 0.0000 
Validation time:
Validation loss:1.493, accuracy:0.586
ep/it:143-  30 niter: 54800  266m 15s (- 2525m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0395  acc: 0.6055  lr: 0.0000 
ep/it:143-  80 niter: 54850  266m 30s (- 2524m 50s) completed:  9%) loss_emb: 0.0000  loss: 1.3256  loss_TTT: 0.0376  acc: 0.6128  lr: 0.0000 
ep/it:143- 130 niter: 54900  266m 44s (- 2524m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0371  acc: 0.6065  lr: 0.0000 
ep/it:143- 180 niter: 54950  266m 59s (- 2524m 26s) completed:  9%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0387  acc: 0.6018  lr: 0.0000 
ep/it:143- 230 niter: 55000  267m 14s (- 2524m 11s) completed:  9%) loss_emb: 0.0000  loss: 1.3335  loss_TTT: 0.0387  acc: 0.6123  lr: 0.0000 
ep/it:143- 280 niter: 55050  267m 29s (- 2524m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.3238  loss_TTT: 0.0364  acc: 0.6137  lr: 0.0000 
ep/it:143- 330 niter: 55100  267m 44s (- 2523m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.3290  loss_TTT: 0.0395  acc: 0.6128  lr: 0.0000 
ep/it:143- 380 niter: 55150  267m 59s (- 2523m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.3320  loss_TTT: 0.0375  acc: 0.6111  lr: 0.0000 
Validation time:
Validation loss:1.456, accuracy:0.595
ep/it:144-  47 niter: 55200  268m 16s (- 2523m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.3340  loss_TTT: 0.0395  acc: 0.6101  lr: 0.0000 
ep/it:144-  97 niter: 55250  268m 30s (- 2523m 26s) completed:  9%) loss_emb: 0.0000  loss: 1.3375  loss_TTT: 0.0383  acc: 0.6109  lr: 0.0000 
ep/it:144- 147 niter: 55300  268m 43s (- 2523m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.3321  loss_TTT: 0.0387  acc: 0.6107  lr: 0.0000 
ep/it:144- 197 niter: 55350  268m 57s (- 2522m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0386  acc: 0.6204  lr: 0.0000 
ep/it:144- 247 niter: 55400  269m 11s (- 2522m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.3120  loss_TTT: 0.0404  acc: 0.6166  lr: 0.0000 
ep/it:144- 297 niter: 55450  269m 24s (- 2521m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.3051  loss_TTT: 0.0386  acc: 0.6195  lr: 0.0000 
ep/it:144- 347 niter: 55500  269m 38s (- 2521m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.3156  loss_TTT: 0.0383  acc: 0.6163  lr: 0.0000 
Validation time:
Validation loss:1.537, accuracy:0.573
ep/it:145-  14 niter: 55550  269m 55s (- 2521m 38s) completed:  9%) loss_emb: 0.0000  loss: 1.2997  loss_TTT: 0.0385  acc: 0.6205  lr: 0.0000 
ep/it:145-  64 niter: 55600  270m 9s (- 2521m 16s) completed:  9%) loss_emb: 0.0000  loss: 1.3297  loss_TTT: 0.0382  acc: 0.6123  lr: 0.0000 
ep/it:145- 114 niter: 55650  270m 23s (- 2520m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.3254  loss_TTT: 0.0383  acc: 0.6123  lr: 0.0000 
ep/it:145- 164 niter: 55700  270m 37s (- 2520m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.3245  loss_TTT: 0.0392  acc: 0.6137  lr: 0.0000 
ep/it:145- 214 niter: 55750  270m 51s (- 2520m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.3098  loss_TTT: 0.0385  acc: 0.6175  lr: 0.0000 
ep/it:145- 264 niter: 55800  271m 5s (- 2520m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0389  acc: 0.6226  lr: 0.0000 
ep/it:145- 314 niter: 55850  271m 19s (- 2519m 38s) completed:  9%) loss_emb: 0.0000  loss: 1.3151  loss_TTT: 0.0370  acc: 0.6144  lr: 0.0000 
ep/it:145- 364 niter: 55900  271m 33s (- 2519m 17s) completed:  9%) loss_emb: 0.0000  loss: 1.3234  loss_TTT: 0.0389  acc: 0.6137  lr: 0.0000 
Validation time:
Validation loss:1.484, accuracy:0.587
ep/it:146-  31 niter: 55950  271m 50s (- 2519m 22s) completed:  9%) loss_emb: 0.0000  loss: 1.3342  loss_TTT: 0.0369  acc: 0.6107  lr: 0.0000 
ep/it:146-  81 niter: 56000  272m 4s (- 2519m 6s) completed:  9%) loss_emb: 0.0000  loss: 1.3123  loss_TTT: 0.0387  acc: 0.6160  lr: 0.0000 
ep/it:146- 131 niter: 56050  272m 19s (- 2518m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.3199  loss_TTT: 0.0386  acc: 0.6153  lr: 0.0000 
ep/it:146- 181 niter: 56100  272m 33s (- 2518m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.2952  loss_TTT: 0.0395  acc: 0.6211  lr: 0.0000 
ep/it:146- 231 niter: 56150  272m 47s (- 2518m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.3387  loss_TTT: 0.0373  acc: 0.6099  lr: 0.0000 
ep/it:146- 281 niter: 56200  273m 2s (- 2518m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.3243  loss_TTT: 0.0381  acc: 0.6134  lr: 0.0000 
ep/it:146- 331 niter: 56250  273m 15s (- 2517m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.3323  loss_TTT: 0.0396  acc: 0.6114  lr: 0.0000 
ep/it:146- 381 niter: 56300  273m 30s (- 2517m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.3378  loss_TTT: 0.0378  acc: 0.6090  lr: 0.0000 
Validation time:
Validation loss:1.489, accuracy:0.585
ep/it:147-  48 niter: 56350  273m 47s (- 2517m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.2871  loss_TTT: 0.0381  acc: 0.6230  lr: 0.0000 
ep/it:147-  98 niter: 56400  274m 1s (- 2517m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.3286  loss_TTT: 0.0386  acc: 0.6127  lr: 0.0000 
ep/it:147- 148 niter: 56450  274m 15s (- 2516m 56s) completed:  9%) loss_emb: 0.0000  loss: 1.3259  loss_TTT: 0.0387  acc: 0.6136  lr: 0.0000 
ep/it:147- 198 niter: 56500  274m 30s (- 2516m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.3316  loss_TTT: 0.0392  acc: 0.6126  lr: 0.0000 
ep/it:147- 248 niter: 56550  274m 44s (- 2516m 23s) completed:  9%) loss_emb: 0.0000  loss: 1.3061  loss_TTT: 0.0371  acc: 0.6187  lr: 0.0000 
ep/it:147- 298 niter: 56600  274m 59s (- 2516m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.2980  loss_TTT: 0.0379  acc: 0.6197  lr: 0.0000 
ep/it:147- 348 niter: 56650  275m 14s (- 2515m 58s) completed:  9%) loss_emb: 0.0000  loss: 1.3105  loss_TTT: 0.0382  acc: 0.6170  lr: 0.0000 
Validation time:
Validation loss:1.493, accuracy:0.584
ep/it:148-  15 niter: 56700  275m 30s (- 2516m 5s) completed:  9%) loss_emb: 0.0000  loss: 1.3272  loss_TTT: 0.0392  acc: 0.6115  lr: 0.0000 
ep/it:148-  65 niter: 56750  275m 45s (- 2515m 49s) completed:  9%) loss_emb: 0.0000  loss: 1.3279  loss_TTT: 0.0396  acc: 0.6113  lr: 0.0000 
ep/it:148- 115 niter: 56800  275m 59s (- 2515m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0390  acc: 0.6051  lr: 0.0000 
ep/it:148- 165 niter: 56850  276m 13s (- 2515m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.3224  loss_TTT: 0.0366  acc: 0.6131  lr: 0.0000 
ep/it:148- 215 niter: 56900  276m 28s (- 2514m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.3223  loss_TTT: 0.0395  acc: 0.6149  lr: 0.0000 
ep/it:148- 265 niter: 56950  276m 42s (- 2514m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.3152  loss_TTT: 0.0385  acc: 0.6163  lr: 0.0000 
ep/it:148- 315 niter: 57000  276m 55s (- 2514m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0367  acc: 0.6253  lr: 0.0000 
ep/it:148- 365 niter: 57050  277m 10s (- 2514m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.3422  loss_TTT: 0.0381  acc: 0.6084  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.591
ep/it:149-  32 niter: 57100  277m 27s (- 2514m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.3233  loss_TTT: 0.0388  acc: 0.6125  lr: 0.0000 
ep/it:149-  82 niter: 57150  277m 41s (- 2513m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.3424  loss_TTT: 0.0385  acc: 0.6079  lr: 0.0000 
ep/it:149- 132 niter: 57200  277m 55s (- 2513m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.3160  loss_TTT: 0.0375  acc: 0.6154  lr: 0.0000 
ep/it:149- 182 niter: 57250  278m 8s (- 2513m 3s) completed:  9%) loss_emb: 0.0000  loss: 1.3298  loss_TTT: 0.0364  acc: 0.6122  lr: 0.0000 
ep/it:149- 232 niter: 57300  278m 22s (- 2512m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.3021  loss_TTT: 0.0397  acc: 0.6196  lr: 0.0000 
ep/it:149- 282 niter: 57350  278m 36s (- 2512m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.3287  loss_TTT: 0.0387  acc: 0.6113  lr: 0.0000 
ep/it:149- 332 niter: 57400  278m 50s (- 2512m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.3188  loss_TTT: 0.0383  acc: 0.6152  lr: 0.0000 
ep/it:149- 382 niter: 57450  279m 4s (- 2511m 41s) completed: 10%) loss_emb: 0.0000  loss: 1.3167  loss_TTT: 0.0391  acc: 0.6153  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.593

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.90it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.33it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.57it/s]
100%|██████████| 47/47 [00:06<00:00,  7.80it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4753527748398483 avg: 2.4753527748398483
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4535174276679754 avg: 2.464435101253912
--> 	 Eva. Repeat 22 :, FID. 0.1330, Diversity Real. 9.5995, Diversity. 9.9617, R_precision_real. [0.49023438 0.6875     0.79785156], R_precision. [0.50195312 0.68359375 0.78808594], matching_score_real. 2.9832, matching_score_pred. 3.0079, skate_ratio. 0.0459, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5322 (traj_fail_50cm (Traj err)): 0.3047 (kps_fail_20cm): 0.3733 (kps_fail_50cm (Loc. err)): 0.1952 (kps_mean_err(m) (Avg. err)): 0.3631 
ep/it:150-  49 niter: 57500  279m 28s (- 2512m 53s) completed: 10%) loss_emb: 0.0000  loss: 1.3061  loss_TTT: 0.0381  acc: 0.6189  lr: 0.0000 
ep/it:150-  99 niter: 57550  279m 43s (- 2512m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.2957  loss_TTT: 0.0365  acc: 0.6199  lr: 0.0000 
ep/it:150- 149 niter: 57600  279m 57s (- 2512m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.2982  loss_TTT: 0.0379  acc: 0.6198  lr: 0.0000 
ep/it:150- 199 niter: 57650  280m 11s (- 2511m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0393  acc: 0.6178  lr: 0.0000 
ep/it:150- 249 niter: 57700  280m 25s (- 2511m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.2801  loss_TTT: 0.0372  acc: 0.6248  lr: 0.0000 
ep/it:150- 299 niter: 57750  280m 39s (- 2511m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.3207  loss_TTT: 0.0376  acc: 0.6140  lr: 0.0000 
ep/it:150- 349 niter: 57800  280m 53s (- 2510m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.3089  loss_TTT: 0.0395  acc: 0.6163  lr: 0.0000 
Validation time:
Validation loss:1.509, accuracy:0.581
ep/it:151-  16 niter: 57850  281m 9s (- 2511m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.3002  loss_TTT: 0.0384  acc: 0.6210  lr: 0.0000 
ep/it:151-  66 niter: 57900  281m 23s (- 2510m 42s) completed: 10%) loss_emb: 0.0000  loss: 1.3150  loss_TTT: 0.0381  acc: 0.6157  lr: 0.0000 
ep/it:151- 116 niter: 57950  281m 37s (- 2510m 22s) completed: 10%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0379  acc: 0.6176  lr: 0.0000 
ep/it:151- 166 niter: 58000  281m 51s (- 2510m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.2975  loss_TTT: 0.0373  acc: 0.6209  lr: 0.0000 
ep/it:151- 216 niter: 58050  282m 6s (- 2509m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.3234  loss_TTT: 0.0375  acc: 0.6136  lr: 0.0000 
ep/it:151- 266 niter: 58100  282m 20s (- 2509m 33s) completed: 10%) loss_emb: 0.0000  loss: 1.3105  loss_TTT: 0.0377  acc: 0.6162  lr: 0.0000 
ep/it:151- 316 niter: 58150  282m 35s (- 2509m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.3142  loss_TTT: 0.0370  acc: 0.6148  lr: 0.0000 
ep/it:151- 366 niter: 58200  282m 49s (- 2508m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.3313  loss_TTT: 0.0392  acc: 0.6112  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.591
ep/it:152-  33 niter: 58250  283m 6s (- 2509m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.3275  loss_TTT: 0.0385  acc: 0.6128  lr: 0.0000 
ep/it:152-  83 niter: 58300  283m 20s (- 2508m 46s) completed: 10%) loss_emb: 0.0000  loss: 1.3087  loss_TTT: 0.0387  acc: 0.6178  lr: 0.0000 
ep/it:152- 133 niter: 58350  283m 34s (- 2508m 27s) completed: 10%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0382  acc: 0.6197  lr: 0.0000 
ep/it:152- 183 niter: 58400  283m 49s (- 2508m 11s) completed: 10%) loss_emb: 0.0000  loss: 1.3192  loss_TTT: 0.0384  acc: 0.6160  lr: 0.0000 
ep/it:152- 233 niter: 58450  284m 2s (- 2507m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.3157  loss_TTT: 0.0382  acc: 0.6142  lr: 0.0000 
ep/it:152- 283 niter: 58500  284m 17s (- 2507m 35s) completed: 10%) loss_emb: 0.0000  loss: 1.3069  loss_TTT: 0.0385  acc: 0.6181  lr: 0.0000 
ep/it:152- 333 niter: 58550  284m 32s (- 2507m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.3137  loss_TTT: 0.0381  acc: 0.6171  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.596
Improved accuracy from 0.60 to 0.5964788094810818!!!
ep/it:153-   0 niter: 58600  284m 49s (- 2507m 35s) completed: 10%) loss_emb: 0.0000  loss: 1.3116  loss_TTT: 0.0372  acc: 0.6161  lr: 0.0000 
ep/it:153-  50 niter: 58650  285m 4s (- 2507m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.3307  loss_TTT: 0.0375  acc: 0.6117  lr: 0.0000 
ep/it:153- 100 niter: 58700  285m 18s (- 2507m 5s) completed: 10%) loss_emb: 0.0000  loss: 1.3033  loss_TTT: 0.0404  acc: 0.6183  lr: 0.0000 
ep/it:153- 150 niter: 58750  285m 33s (- 2506m 47s) completed: 10%) loss_emb: 0.0000  loss: 1.3169  loss_TTT: 0.0389  acc: 0.6149  lr: 0.0000 
ep/it:153- 200 niter: 58800  285m 47s (- 2506m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.3248  loss_TTT: 0.0381  acc: 0.6131  lr: 0.0000 
ep/it:153- 250 niter: 58850  286m 1s (- 2506m 15s) completed: 10%) loss_emb: 0.0000  loss: 1.3127  loss_TTT: 0.0384  acc: 0.6158  lr: 0.0000 
ep/it:153- 300 niter: 58900  286m 15s (- 2505m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.3026  loss_TTT: 0.0365  acc: 0.6188  lr: 0.0000 
ep/it:153- 350 niter: 58950  286m 30s (- 2505m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.3330  loss_TTT: 0.0365  acc: 0.6092  lr: 0.0000 
Validation time:
Validation loss:1.474, accuracy:0.590
ep/it:154-  17 niter: 59000  286m 46s (- 2505m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.3421  loss_TTT: 0.0364  acc: 0.6076  lr: 0.0000 
ep/it:154-  67 niter: 59050  287m 1s (- 2505m 27s) completed: 10%) loss_emb: 0.0000  loss: 1.3197  loss_TTT: 0.0386  acc: 0.6146  lr: 0.0000 
ep/it:154- 117 niter: 59100  287m 16s (- 2505m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.3197  loss_TTT: 0.0363  acc: 0.6140  lr: 0.0000 
ep/it:154- 167 niter: 59150  287m 30s (- 2504m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.3187  loss_TTT: 0.0398  acc: 0.6140  lr: 0.0000 
ep/it:154- 217 niter: 59200  287m 45s (- 2504m 42s) completed: 10%) loss_emb: 0.0000  loss: 1.3098  loss_TTT: 0.0384  acc: 0.6177  lr: 0.0000 
ep/it:154- 267 niter: 59250  287m 59s (- 2504m 26s) completed: 10%) loss_emb: 0.0000  loss: 1.3148  loss_TTT: 0.0378  acc: 0.6156  lr: 0.0000 
ep/it:154- 317 niter: 59300  288m 13s (- 2504m 10s) completed: 10%) loss_emb: 0.0000  loss: 1.3173  loss_TTT: 0.0375  acc: 0.6163  lr: 0.0000 
ep/it:154- 367 niter: 59350  288m 28s (- 2503m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.3142  loss_TTT: 0.0370  acc: 0.6155  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.591
ep/it:155-  34 niter: 59400  288m 45s (- 2503m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.3105  loss_TTT: 0.0389  acc: 0.6178  lr: 0.0000 
ep/it:155-  84 niter: 59450  288m 59s (- 2503m 42s) completed: 10%) loss_emb: 0.0000  loss: 1.3158  loss_TTT: 0.0384  acc: 0.6150  lr: 0.0000 
ep/it:155- 134 niter: 59500  289m 13s (- 2503m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.3196  loss_TTT: 0.0375  acc: 0.6138  lr: 0.0000 
ep/it:155- 184 niter: 59550  289m 28s (- 2503m 10s) completed: 10%) loss_emb: 0.0000  loss: 1.3268  loss_TTT: 0.0368  acc: 0.6107  lr: 0.0000 
ep/it:155- 234 niter: 59600  289m 43s (- 2502m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.3305  loss_TTT: 0.0375  acc: 0.6111  lr: 0.0000 
ep/it:155- 284 niter: 59650  289m 57s (- 2502m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.3387  loss_TTT: 0.0377  acc: 0.6080  lr: 0.0000 
ep/it:155- 334 niter: 59700  290m 12s (- 2502m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.3183  loss_TTT: 0.0367  acc: 0.6149  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594
ep/it:156-   1 niter: 59750  290m 29s (- 2502m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.3138  loss_TTT: 0.0384  acc: 0.6161  lr: 0.0000 
ep/it:156-  51 niter: 59800  290m 44s (- 2502m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.3150  loss_TTT: 0.0374  acc: 0.6142  lr: 0.0000 
ep/it:156- 101 niter: 59850  290m 58s (- 2502m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.3115  loss_TTT: 0.0370  acc: 0.6162  lr: 0.0000 
ep/it:156- 151 niter: 59900  291m 12s (- 2501m 47s) completed: 10%) loss_emb: 0.0000  loss: 1.3339  loss_TTT: 0.0377  acc: 0.6102  lr: 0.0000 
ep/it:156- 201 niter: 59950  291m 27s (- 2501m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.3055  loss_TTT: 0.0398  acc: 0.6177  lr: 0.0000 
ep/it:156- 251 niter: 60000  291m 41s (- 2501m 13s) completed: 10%) loss_emb: 0.0000  loss: 1.2948  loss_TTT: 0.0386  acc: 0.6217  lr: 0.0000 
ep/it:156- 301 niter: 60050  291m 56s (- 2501m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.3541  loss_TTT: 0.0388  acc: 0.6049  lr: 0.0000 
ep/it:156- 351 niter: 60100  292m 10s (- 2500m 46s) completed: 10%) loss_emb: 0.0000  loss: 1.3161  loss_TTT: 0.0385  acc: 0.6143  lr: 0.0000 
Validation time:
Validation loss:1.520, accuracy:0.577
ep/it:157-  18 niter: 60150  292m 27s (- 2500m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.3054  loss_TTT: 0.0354  acc: 0.6180  lr: 0.0000 
ep/it:157-  68 niter: 60200  292m 42s (- 2500m 35s) completed: 10%) loss_emb: 0.0000  loss: 1.3500  loss_TTT: 0.0381  acc: 0.6077  lr: 0.0000 
ep/it:157- 118 niter: 60250  292m 56s (- 2500m 19s) completed: 10%) loss_emb: 0.0000  loss: 1.3272  loss_TTT: 0.0387  acc: 0.6127  lr: 0.0000 
ep/it:157- 168 niter: 60300  293m 10s (- 2499m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.3245  loss_TTT: 0.0384  acc: 0.6122  lr: 0.0000 
ep/it:157- 218 niter: 60350  293m 24s (- 2499m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.3119  loss_TTT: 0.0366  acc: 0.6159  lr: 0.0000 
ep/it:157- 268 niter: 60400  293m 39s (- 2499m 26s) completed: 10%) loss_emb: 0.0000  loss: 1.3266  loss_TTT: 0.0387  acc: 0.6112  lr: 0.0000 
ep/it:157- 318 niter: 60450  293m 53s (- 2499m 9s) completed: 10%) loss_emb: 0.0000  loss: 1.3361  loss_TTT: 0.0369  acc: 0.6086  lr: 0.0000 
ep/it:157- 368 niter: 60500  294m 7s (- 2498m 53s) completed: 10%) loss_emb: 0.0000  loss: 1.3352  loss_TTT: 0.0389  acc: 0.6107  lr: 0.0000 
Validation time:
Validation loss:1.533, accuracy:0.573
ep/it:158-  35 niter: 60550  294m 25s (- 2499m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.3357  loss_TTT: 0.0372  acc: 0.6104  lr: 0.0000 
ep/it:158-  85 niter: 60600  294m 39s (- 2498m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.3218  loss_TTT: 0.0382  acc: 0.6129  lr: 0.0000 
ep/it:158- 135 niter: 60650  294m 53s (- 2498m 29s) completed: 10%) loss_emb: 0.0000  loss: 1.3475  loss_TTT: 0.0399  acc: 0.6065  lr: 0.0000 
ep/it:158- 185 niter: 60700  295m 8s (- 2498m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.3111  loss_TTT: 0.0399  acc: 0.6177  lr: 0.0000 
ep/it:158- 235 niter: 60750  295m 21s (- 2497m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.3582  loss_TTT: 0.0383  acc: 0.6038  lr: 0.0000 
ep/it:158- 285 niter: 60800  295m 36s (- 2497m 32s) completed: 10%) loss_emb: 0.0000  loss: 1.3347  loss_TTT: 0.0360  acc: 0.6098  lr: 0.0000 
ep/it:158- 335 niter: 60850  295m 49s (- 2497m 11s) completed: 10%) loss_emb: 0.0000  loss: 1.3269  loss_TTT: 0.0357  acc: 0.6116  lr: 0.0000 
Validation time:
Validation loss:1.495, accuracy:0.582
ep/it:159-   2 niter: 60900  296m 6s (- 2497m 13s) completed: 10%) loss_emb: 0.0000  loss: 1.3463  loss_TTT: 0.0369  acc: 0.6068  lr: 0.0000 
ep/it:159-  52 niter: 60950  296m 21s (- 2496m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.3041  loss_TTT: 0.0381  acc: 0.6187  lr: 0.0000 
ep/it:159- 102 niter: 61000  296m 35s (- 2496m 41s) completed: 10%) loss_emb: 0.0000  loss: 1.3040  loss_TTT: 0.0361  acc: 0.6170  lr: 0.0000 
ep/it:159- 152 niter: 61050  296m 49s (- 2496m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.3160  loss_TTT: 0.0373  acc: 0.6159  lr: 0.0000 
ep/it:159- 202 niter: 61100  297m 3s (- 2496m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.3066  loss_TTT: 0.0365  acc: 0.6170  lr: 0.0000 
ep/it:159- 252 niter: 61150  297m 17s (- 2495m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0392  acc: 0.6074  lr: 0.0000 
ep/it:159- 302 niter: 61200  297m 31s (- 2495m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0356  acc: 0.6175  lr: 0.0000 
ep/it:159- 352 niter: 61250  297m 45s (- 2495m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.3163  loss_TTT: 0.0383  acc: 0.6147  lr: 0.0000 
Validation time:
Validation loss:1.502, accuracy:0.581

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.11it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.36it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.51it/s]
100%|██████████| 47/47 [00:06<00:00,  7.74it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.453592360019684 avg: 2.453592360019684
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.451191850937903 avg: 2.4523921054787934
--> 	 Eva. Repeat 22 :, FID. 0.1258, Diversity Real. 9.5699, Diversity. 9.7475, R_precision_real. [0.5        0.6875     0.79101562], R_precision. [0.49707031 0.68652344 0.78515625], matching_score_real. 2.9191, matching_score_pred. 3.0198, skate_ratio. 0.0480, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5654 (traj_fail_50cm (Traj err)): 0.3330 (kps_fail_20cm): 0.3963 (kps_fail_50cm (Loc. err)): 0.2223 (kps_mean_err(m) (Avg. err)): 0.4050 
ep/it:160-  19 niter: 61300  298m 8s (- 2496m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.3293  loss_TTT: 0.0360  acc: 0.6131  lr: 0.0000 
ep/it:160-  69 niter: 61350  298m 22s (- 2495m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0374  acc: 0.6088  lr: 0.0000 
ep/it:160- 119 niter: 61400  298m 36s (- 2495m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0378  acc: 0.6204  lr: 0.0000 
ep/it:160- 169 niter: 61450  298m 51s (- 2495m 8s) completed: 10%) loss_emb: 0.0000  loss: 1.3423  loss_TTT: 0.0385  acc: 0.6082  lr: 0.0000 
ep/it:160- 219 niter: 61500  299m 5s (- 2494m 51s) completed: 10%) loss_emb: 0.0000  loss: 1.3079  loss_TTT: 0.0366  acc: 0.6163  lr: 0.0000 
ep/it:160- 269 niter: 61550  299m 19s (- 2494m 35s) completed: 10%) loss_emb: 0.0000  loss: 1.3210  loss_TTT: 0.0394  acc: 0.6145  lr: 0.0000 
ep/it:160- 319 niter: 61600  299m 34s (- 2494m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.3281  loss_TTT: 0.0384  acc: 0.6128  lr: 0.0000 
ep/it:160- 369 niter: 61650  299m 48s (- 2494m 0s) completed: 10%) loss_emb: 0.0000  loss: 1.3367  loss_TTT: 0.0389  acc: 0.6098  lr: 0.0000 
Validation time:
Validation loss:1.495, accuracy:0.583
ep/it:161-  36 niter: 61700  300m 4s (- 2493m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.3389  loss_TTT: 0.0377  acc: 0.6099  lr: 0.0000 
ep/it:161-  86 niter: 61750  300m 18s (- 2493m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.3402  loss_TTT: 0.0390  acc: 0.6094  lr: 0.0000 
ep/it:161- 136 niter: 61800  300m 32s (- 2493m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.3313  loss_TTT: 0.0399  acc: 0.6122  lr: 0.0000 
ep/it:161- 186 niter: 61850  300m 46s (- 2492m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.3500  loss_TTT: 0.0390  acc: 0.6060  lr: 0.0000 
ep/it:161- 236 niter: 61900  301m 0s (- 2492m 41s) completed: 10%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0380  acc: 0.6042  lr: 0.0000 
ep/it:161- 286 niter: 61950  301m 14s (- 2492m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.3337  loss_TTT: 0.0370  acc: 0.6094  lr: 0.0000 
ep/it:161- 336 niter: 62000  301m 28s (- 2491m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.3495  loss_TTT: 0.0384  acc: 0.6070  lr: 0.0000 
Validation time:
Validation loss:1.490, accuracy:0.584
ep/it:162-   3 niter: 62050  301m 45s (- 2492m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.3388  loss_TTT: 0.0374  acc: 0.6095  lr: 0.0000 
ep/it:162-  53 niter: 62100  302m 0s (- 2491m 51s) completed: 10%) loss_emb: 0.0000  loss: 1.3320  loss_TTT: 0.0384  acc: 0.6117  lr: 0.0000 
ep/it:162- 103 niter: 62150  302m 14s (- 2491m 34s) completed: 10%) loss_emb: 0.0000  loss: 1.3414  loss_TTT: 0.0391  acc: 0.6085  lr: 0.0000 
ep/it:162- 153 niter: 62200  302m 28s (- 2491m 19s) completed: 10%) loss_emb: 0.0000  loss: 1.3384  loss_TTT: 0.0376  acc: 0.6090  lr: 0.0000 
ep/it:162- 203 niter: 62250  302m 42s (- 2491m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0378  acc: 0.6064  lr: 0.0000 
ep/it:162- 253 niter: 62300  302m 56s (- 2490m 41s) completed: 10%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0381  acc: 0.6077  lr: 0.0000 
ep/it:162- 303 niter: 62350  303m 10s (- 2490m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0395  acc: 0.6043  lr: 0.0000 
ep/it:162- 353 niter: 62400  303m 24s (- 2490m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.3467  loss_TTT: 0.0366  acc: 0.6065  lr: 0.0000 
Validation time:
Validation loss:1.486, accuracy:0.585
ep/it:163-  20 niter: 62450  303m 41s (- 2490m 5s) completed: 10%) loss_emb: 0.0000  loss: 1.3254  loss_TTT: 0.0380  acc: 0.6124  lr: 0.0000 
ep/it:163-  70 niter: 62500  303m 55s (- 2489m 47s) completed: 10%) loss_emb: 0.0000  loss: 1.3072  loss_TTT: 0.0367  acc: 0.6174  lr: 0.0000 
ep/it:163- 120 niter: 62550  304m 10s (- 2489m 34s) completed: 10%) loss_emb: 0.0000  loss: 1.3435  loss_TTT: 0.0393  acc: 0.6099  lr: 0.0000 
ep/it:163- 170 niter: 62600  304m 25s (- 2489m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.3334  loss_TTT: 0.0378  acc: 0.6114  lr: 0.0000 
ep/it:163- 220 niter: 62650  304m 39s (- 2489m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.3074  loss_TTT: 0.0371  acc: 0.6165  lr: 0.0000 
ep/it:163- 270 niter: 62700  304m 53s (- 2488m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.3224  loss_TTT: 0.0379  acc: 0.6131  lr: 0.0000 
ep/it:163- 320 niter: 62750  305m 7s (- 2488m 27s) completed: 10%) loss_emb: 0.0000  loss: 1.3338  loss_TTT: 0.0382  acc: 0.6112  lr: 0.0000 
ep/it:163- 370 niter: 62800  305m 21s (- 2488m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.3275  loss_TTT: 0.0366  acc: 0.6110  lr: 0.0000 
Validation time:
Validation loss:1.496, accuracy:0.584
ep/it:164-  37 niter: 62850  305m 38s (- 2488m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.3069  loss_TTT: 0.0382  acc: 0.6179  lr: 0.0000 
ep/it:164-  87 niter: 62900  305m 53s (- 2487m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.3349  loss_TTT: 0.0369  acc: 0.6097  lr: 0.0000 
ep/it:164- 137 niter: 62950  306m 7s (- 2487m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.3270  loss_TTT: 0.0370  acc: 0.6130  lr: 0.0000 
ep/it:164- 187 niter: 63000  306m 22s (- 2487m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.3227  loss_TTT: 0.0386  acc: 0.6136  lr: 0.0000 
ep/it:164- 237 niter: 63050  306m 37s (- 2487m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.3174  loss_TTT: 0.0387  acc: 0.6148  lr: 0.0000 
ep/it:164- 287 niter: 63100  306m 51s (- 2486m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.3505  loss_TTT: 0.0381  acc: 0.6058  lr: 0.0000 
ep/it:164- 337 niter: 63150  307m 5s (- 2486m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.3046  loss_TTT: 0.0367  acc: 0.6186  lr: 0.0000 
Validation time:
Validation loss:1.478, accuracy:0.587
ep/it:165-   4 niter: 63200  307m 22s (- 2486m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0368  acc: 0.6225  lr: 0.0000 
ep/it:165-  54 niter: 63250  307m 36s (- 2486m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.3006  loss_TTT: 0.0374  acc: 0.6206  lr: 0.0000 
ep/it:165- 104 niter: 63300  307m 51s (- 2486m 11s) completed: 11%) loss_emb: 0.0000  loss: 1.3229  loss_TTT: 0.0402  acc: 0.6130  lr: 0.0000 
ep/it:165- 154 niter: 63350  308m 5s (- 2485m 57s) completed: 11%) loss_emb: 0.0000  loss: 1.3031  loss_TTT: 0.0366  acc: 0.6189  lr: 0.0000 
ep/it:165- 204 niter: 63400  308m 20s (- 2485m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.2981  loss_TTT: 0.0377  acc: 0.6199  lr: 0.0000 
ep/it:165- 254 niter: 63450  308m 34s (- 2485m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.3054  loss_TTT: 0.0376  acc: 0.6184  lr: 0.0000 
ep/it:165- 304 niter: 63500  308m 48s (- 2485m 5s) completed: 11%) loss_emb: 0.0000  loss: 1.3217  loss_TTT: 0.0388  acc: 0.6128  lr: 0.0000 
ep/it:165- 354 niter: 63550  309m 3s (- 2484m 48s) completed: 11%) loss_emb: 0.0000  loss: 1.3404  loss_TTT: 0.0383  acc: 0.6088  lr: 0.0000 
Validation time:
Validation loss:1.499, accuracy:0.581
ep/it:166-  21 niter: 63600  309m 19s (- 2484m 49s) completed: 11%) loss_emb: 0.0000  loss: 1.3348  loss_TTT: 0.0365  acc: 0.6085  lr: 0.0000 
ep/it:166-  71 niter: 63650  309m 33s (- 2484m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.3297  loss_TTT: 0.0397  acc: 0.6131  lr: 0.0000 
ep/it:166- 121 niter: 63700  309m 48s (- 2484m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.3298  loss_TTT: 0.0384  acc: 0.6121  lr: 0.0000 
ep/it:166- 171 niter: 63750  310m 2s (- 2484m 0s) completed: 11%) loss_emb: 0.0000  loss: 1.2965  loss_TTT: 0.0377  acc: 0.6211  lr: 0.0000 
ep/it:166- 221 niter: 63800  310m 17s (- 2483m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.3185  loss_TTT: 0.0376  acc: 0.6142  lr: 0.0000 
ep/it:166- 271 niter: 63850  310m 31s (- 2483m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.3059  loss_TTT: 0.0385  acc: 0.6181  lr: 0.0000 
ep/it:166- 321 niter: 63900  310m 45s (- 2483m 11s) completed: 11%) loss_emb: 0.0000  loss: 1.3075  loss_TTT: 0.0381  acc: 0.6175  lr: 0.0000 
ep/it:166- 371 niter: 63950  311m 0s (- 2482m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.3247  loss_TTT: 0.0376  acc: 0.6126  lr: 0.0000 
Validation time:
Validation loss:1.488, accuracy:0.585
ep/it:167-  38 niter: 64000  311m 17s (- 2482m 59s) completed: 11%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0380  acc: 0.6194  lr: 0.0000 
ep/it:167-  88 niter: 64050  311m 31s (- 2482m 42s) completed: 11%) loss_emb: 0.0000  loss: 1.2950  loss_TTT: 0.0389  acc: 0.6214  lr: 0.0000 
ep/it:167- 138 niter: 64100  311m 45s (- 2482m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.3300  loss_TTT: 0.0374  acc: 0.6112  lr: 0.0000 
ep/it:167- 188 niter: 64150  311m 59s (- 2482m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.3061  loss_TTT: 0.0373  acc: 0.6169  lr: 0.0000 
ep/it:167- 238 niter: 64200  312m 13s (- 2481m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.3075  loss_TTT: 0.0361  acc: 0.6166  lr: 0.0000 
ep/it:167- 288 niter: 64250  312m 27s (- 2481m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.3176  loss_TTT: 0.0387  acc: 0.6156  lr: 0.0000 
ep/it:167- 338 niter: 64300  312m 41s (- 2481m 10s) completed: 11%) loss_emb: 0.0000  loss: 1.2964  loss_TTT: 0.0372  acc: 0.6207  lr: 0.0000 
Validation time:
Validation loss:1.486, accuracy:0.585
ep/it:168-   5 niter: 64350  312m 58s (- 2481m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.3096  loss_TTT: 0.0384  acc: 0.6168  lr: 0.0000 
ep/it:168-  55 niter: 64400  313m 12s (- 2480m 51s) completed: 11%) loss_emb: 0.0000  loss: 1.3125  loss_TTT: 0.0385  acc: 0.6160  lr: 0.0000 
ep/it:168- 105 niter: 64450  313m 26s (- 2480m 32s) completed: 11%) loss_emb: 0.0000  loss: 1.3096  loss_TTT: 0.0359  acc: 0.6160  lr: 0.0000 
ep/it:168- 155 niter: 64500  313m 40s (- 2480m 10s) completed: 11%) loss_emb: 0.0000  loss: 1.3045  loss_TTT: 0.0377  acc: 0.6187  lr: 0.0000 
ep/it:168- 205 niter: 64550  313m 54s (- 2479m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.3191  loss_TTT: 0.0370  acc: 0.6153  lr: 0.0000 
ep/it:168- 255 niter: 64600  314m 8s (- 2479m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.3153  loss_TTT: 0.0378  acc: 0.6144  lr: 0.0000 
ep/it:168- 305 niter: 64650  314m 22s (- 2479m 17s) completed: 11%) loss_emb: 0.0000  loss: 1.3337  loss_TTT: 0.0393  acc: 0.6099  lr: 0.0000 
ep/it:168- 355 niter: 64700  314m 36s (- 2478m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.3175  loss_TTT: 0.0365  acc: 0.6144  lr: 0.0000 
Validation time:
Validation loss:1.500, accuracy:0.583
ep/it:169-  22 niter: 64750  314m 52s (- 2478m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.3058  loss_TTT: 0.0375  acc: 0.6187  lr: 0.0000 
ep/it:169-  72 niter: 64800  315m 6s (- 2478m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.2979  loss_TTT: 0.0367  acc: 0.6202  lr: 0.0000 
ep/it:169- 122 niter: 64850  315m 20s (- 2478m 14s) completed: 11%) loss_emb: 0.0000  loss: 1.2961  loss_TTT: 0.0378  acc: 0.6202  lr: 0.0000 
ep/it:169- 172 niter: 64900  315m 34s (- 2477m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.3207  loss_TTT: 0.0389  acc: 0.6127  lr: 0.0000 
ep/it:169- 222 niter: 64950  315m 48s (- 2477m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.3160  loss_TTT: 0.0379  acc: 0.6151  lr: 0.0000 
ep/it:169- 272 niter: 65000  316m 2s (- 2477m 15s) completed: 11%) loss_emb: 0.0000  loss: 1.3071  loss_TTT: 0.0387  acc: 0.6186  lr: 0.0000 
ep/it:169- 322 niter: 65050  316m 16s (- 2476m 57s) completed: 11%) loss_emb: 0.0000  loss: 1.3293  loss_TTT: 0.0384  acc: 0.6108  lr: 0.0000 
ep/it:169- 372 niter: 65100  316m 30s (- 2476m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.3262  loss_TTT: 0.0370  acc: 0.6122  lr: 0.0000 
Validation time:
Validation loss:1.469, accuracy:0.591

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.23it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.44it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.71it/s]
100%|██████████| 47/47 [00:05<00:00,  8.00it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4540633321739733 avg: 2.4540633321739733
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4550809538923204 avg: 2.454572143033147
--> 	 Eva. Repeat 22 :, FID. 0.1141, Diversity Real. 9.3464, Diversity. 9.8160, R_precision_real. [0.52246094 0.70800781 0.796875  ], R_precision. [0.50683594 0.70703125 0.81152344], matching_score_real. 2.9403, matching_score_pred. 2.9503, skate_ratio. 0.0459, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5068 (traj_fail_50cm (Traj err)): 0.3027 (kps_fail_20cm): 0.3713 (kps_fail_50cm (Loc. err)): 0.2086 (kps_mean_err(m) (Avg. err)): 0.3902 
ep/it:170-  39 niter: 65150  316m 53s (- 2477m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.3134  loss_TTT: 0.0385  acc: 0.6160  lr: 0.0000 
ep/it:170-  89 niter: 65200  317m 7s (- 2477m 10s) completed: 11%) loss_emb: 0.0000  loss: 1.3181  loss_TTT: 0.0389  acc: 0.6143  lr: 0.0000 
ep/it:170- 139 niter: 65250  317m 21s (- 2476m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.3013  loss_TTT: 0.0380  acc: 0.6192  lr: 0.0000 
ep/it:170- 189 niter: 65300  317m 35s (- 2476m 32s) completed: 11%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0372  acc: 0.6167  lr: 0.0000 
ep/it:170- 239 niter: 65350  317m 49s (- 2476m 12s) completed: 11%) loss_emb: 0.0000  loss: 1.3167  loss_TTT: 0.0362  acc: 0.6152  lr: 0.0000 
ep/it:170- 289 niter: 65400  318m 3s (- 2475m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.3177  loss_TTT: 0.0381  acc: 0.6138  lr: 0.0000 
ep/it:170- 339 niter: 65450  318m 17s (- 2475m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.3023  loss_TTT: 0.0365  acc: 0.6184  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.594
ep/it:171-   6 niter: 65500  318m 33s (- 2475m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.3080  loss_TTT: 0.0396  acc: 0.6170  lr: 0.0000 
ep/it:171-  56 niter: 65550  318m 48s (- 2475m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0399  acc: 0.6217  lr: 0.0000 
ep/it:171- 106 niter: 65600  319m 2s (- 2475m 0s) completed: 11%) loss_emb: 0.0000  loss: 1.2976  loss_TTT: 0.0375  acc: 0.6204  lr: 0.0000 
ep/it:171- 156 niter: 65650  319m 16s (- 2474m 38s) completed: 11%) loss_emb: 0.0000  loss: 1.3105  loss_TTT: 0.0371  acc: 0.6160  lr: 0.0000 
ep/it:171- 206 niter: 65700  319m 30s (- 2474m 18s) completed: 11%) loss_emb: 0.0000  loss: 1.3069  loss_TTT: 0.0368  acc: 0.6181  lr: 0.0000 
ep/it:171- 256 niter: 65750  319m 43s (- 2473m 58s) completed: 11%) loss_emb: 0.0000  loss: 1.3262  loss_TTT: 0.0370  acc: 0.6116  lr: 0.0000 
ep/it:171- 306 niter: 65800  319m 57s (- 2473m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0367  acc: 0.6186  lr: 0.0000 
ep/it:171- 356 niter: 65850  320m 11s (- 2473m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.3050  loss_TTT: 0.0368  acc: 0.6177  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.596
ep/it:172-  23 niter: 65900  320m 28s (- 2473m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0397  acc: 0.6213  lr: 0.0000 
ep/it:172-  73 niter: 65950  320m 42s (- 2473m 1s) completed: 11%) loss_emb: 0.0000  loss: 1.3130  loss_TTT: 0.0374  acc: 0.6168  lr: 0.0000 
ep/it:172- 123 niter: 66000  320m 56s (- 2472m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.3148  loss_TTT: 0.0354  acc: 0.6153  lr: 0.0000 
ep/it:172- 173 niter: 66050  321m 11s (- 2472m 29s) completed: 11%) loss_emb: 0.0000  loss: 1.3074  loss_TTT: 0.0372  acc: 0.6175  lr: 0.0000 
ep/it:172- 223 niter: 66100  321m 25s (- 2472m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.3175  loss_TTT: 0.0382  acc: 0.6140  lr: 0.0000 
ep/it:172- 273 niter: 66150  321m 39s (- 2471m 51s) completed: 11%) loss_emb: 0.0000  loss: 1.2994  loss_TTT: 0.0369  acc: 0.6192  lr: 0.0000 
ep/it:172- 323 niter: 66200  321m 53s (- 2471m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.2799  loss_TTT: 0.0361  acc: 0.6244  lr: 0.0000 
ep/it:172- 373 niter: 66250  322m 8s (- 2471m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.3130  loss_TTT: 0.0393  acc: 0.6164  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.593
ep/it:173-  40 niter: 66300  322m 24s (- 2471m 20s) completed: 11%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0375  acc: 0.6213  lr: 0.0000 
ep/it:173-  90 niter: 66350  322m 38s (- 2471m 1s) completed: 11%) loss_emb: 0.0000  loss: 1.3285  loss_TTT: 0.0385  acc: 0.6125  lr: 0.0000 
ep/it:173- 140 niter: 66400  322m 52s (- 2470m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.3355  loss_TTT: 0.0374  acc: 0.6091  lr: 0.0000 
ep/it:173- 190 niter: 66450  323m 6s (- 2470m 24s) completed: 11%) loss_emb: 0.0000  loss: 1.2954  loss_TTT: 0.0383  acc: 0.6200  lr: 0.0000 
ep/it:173- 240 niter: 66500  323m 21s (- 2470m 8s) completed: 11%) loss_emb: 0.0000  loss: 1.3109  loss_TTT: 0.0393  acc: 0.6158  lr: 0.0000 
ep/it:173- 290 niter: 66550  323m 35s (- 2469m 53s) completed: 11%) loss_emb: 0.0000  loss: 1.3050  loss_TTT: 0.0384  acc: 0.6178  lr: 0.0000 
ep/it:173- 340 niter: 66600  323m 50s (- 2469m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.3259  loss_TTT: 0.0369  acc: 0.6119  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.597
Improved accuracy from 0.60 to 0.5966229931167935!!!
ep/it:174-   7 niter: 66650  324m 7s (- 2469m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.3113  loss_TTT: 0.0369  acc: 0.6158  lr: 0.0000 
ep/it:174-  57 niter: 66700  324m 21s (- 2469m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.3003  loss_TTT: 0.0364  acc: 0.6188  lr: 0.0000 
ep/it:174- 107 niter: 66750  324m 35s (- 2469m 5s) completed: 11%) loss_emb: 0.0000  loss: 1.2890  loss_TTT: 0.0368  acc: 0.6231  lr: 0.0000 
ep/it:174- 157 niter: 66800  324m 49s (- 2468m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.3218  loss_TTT: 0.0382  acc: 0.6138  lr: 0.0000 
ep/it:174- 207 niter: 66850  325m 3s (- 2468m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.3135  loss_TTT: 0.0364  acc: 0.6145  lr: 0.0000 
ep/it:174- 257 niter: 66900  325m 16s (- 2468m 4s) completed: 11%) loss_emb: 0.0000  loss: 1.3125  loss_TTT: 0.0372  acc: 0.6163  lr: 0.0000 
ep/it:174- 307 niter: 66950  325m 30s (- 2467m 43s) completed: 11%) loss_emb: 0.0000  loss: 1.3251  loss_TTT: 0.0382  acc: 0.6125  lr: 0.0000 
ep/it:174- 357 niter: 67000  325m 44s (- 2467m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.3169  loss_TTT: 0.0382  acc: 0.6150  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.592
ep/it:175-  24 niter: 67050  326m 1s (- 2467m 22s) completed: 11%) loss_emb: 0.0000  loss: 1.3344  loss_TTT: 0.0371  acc: 0.6085  lr: 0.0000 
ep/it:175-  74 niter: 67100  326m 14s (- 2467m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.3363  loss_TTT: 0.0377  acc: 0.6105  lr: 0.0000 
ep/it:175- 124 niter: 67150  326m 28s (- 2466m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.3127  loss_TTT: 0.0373  acc: 0.6166  lr: 0.0000 
ep/it:175- 174 niter: 67200  326m 42s (- 2466m 19s) completed: 11%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0361  acc: 0.6224  lr: 0.0000 
ep/it:175- 224 niter: 67250  326m 56s (- 2465m 58s) completed: 11%) loss_emb: 0.0000  loss: 1.3247  loss_TTT: 0.0376  acc: 0.6117  lr: 0.0000 
ep/it:175- 274 niter: 67300  327m 9s (- 2465m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.3209  loss_TTT: 0.0383  acc: 0.6134  lr: 0.0000 
ep/it:175- 324 niter: 67350  327m 23s (- 2465m 13s) completed: 11%) loss_emb: 0.0000  loss: 1.3101  loss_TTT: 0.0376  acc: 0.6156  lr: 0.0000 
ep/it:175- 374 niter: 67400  327m 36s (- 2464m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.2917  loss_TTT: 0.0359  acc: 0.6208  lr: 0.0000 
Validation time:
Validation loss:1.496, accuracy:0.582
ep/it:176-  41 niter: 67450  327m 53s (- 2464m 51s) completed: 11%) loss_emb: 0.0000  loss: 1.3045  loss_TTT: 0.0361  acc: 0.6174  lr: 0.0000 
ep/it:176-  91 niter: 67500  328m 6s (- 2464m 27s) completed: 11%) loss_emb: 0.0000  loss: 1.2972  loss_TTT: 0.0363  acc: 0.6192  lr: 0.0000 
ep/it:176- 141 niter: 67550  328m 20s (- 2464m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.3058  loss_TTT: 0.0361  acc: 0.6165  lr: 0.0000 
ep/it:176- 191 niter: 67600  328m 34s (- 2463m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.3238  loss_TTT: 0.0389  acc: 0.6121  lr: 0.0000 
ep/it:176- 241 niter: 67650  328m 48s (- 2463m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.2739  loss_TTT: 0.0377  acc: 0.6258  lr: 0.0000 
ep/it:176- 291 niter: 67700  329m 2s (- 2463m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.3413  loss_TTT: 0.0357  acc: 0.6076  lr: 0.0000 
ep/it:176- 341 niter: 67750  329m 15s (- 2462m 48s) completed: 11%) loss_emb: 0.0000  loss: 1.3192  loss_TTT: 0.0380  acc: 0.6147  lr: 0.0000 
Validation time:
Validation loss:1.522, accuracy:0.579
ep/it:177-   8 niter: 67800  329m 31s (- 2462m 42s) completed: 11%) loss_emb: 0.0000  loss: 1.3117  loss_TTT: 0.0383  acc: 0.6179  lr: 0.0000 
ep/it:177-  58 niter: 67850  329m 45s (- 2462m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.3106  loss_TTT: 0.0373  acc: 0.6166  lr: 0.0000 
ep/it:177- 108 niter: 67900  330m 0s (- 2462m 7s) completed: 11%) loss_emb: 0.0000  loss: 1.3305  loss_TTT: 0.0377  acc: 0.6119  lr: 0.0000 
ep/it:177- 158 niter: 67950  330m 13s (- 2461m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.2960  loss_TTT: 0.0387  acc: 0.6198  lr: 0.0000 
ep/it:177- 208 niter: 68000  330m 27s (- 2461m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.3156  loss_TTT: 0.0393  acc: 0.6157  lr: 0.0000 
ep/it:177- 258 niter: 68050  330m 41s (- 2461m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.2939  loss_TTT: 0.0374  acc: 0.6203  lr: 0.0000 
ep/it:177- 308 niter: 68100  330m 54s (- 2460m 43s) completed: 11%) loss_emb: 0.0000  loss: 1.3052  loss_TTT: 0.0364  acc: 0.6176  lr: 0.0000 
ep/it:177- 358 niter: 68150  331m 8s (- 2460m 22s) completed: 11%) loss_emb: 0.0000  loss: 1.3043  loss_TTT: 0.0373  acc: 0.6181  lr: 0.0000 
Validation time:
Validation loss:1.481, accuracy:0.587
ep/it:178-  25 niter: 68200  331m 25s (- 2460m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.3156  loss_TTT: 0.0369  acc: 0.6156  lr: 0.0000 
ep/it:178-  75 niter: 68250  331m 39s (- 2460m 7s) completed: 11%) loss_emb: 0.0000  loss: 1.3133  loss_TTT: 0.0409  acc: 0.6160  lr: 0.0000 
ep/it:178- 125 niter: 68300  331m 53s (- 2459m 47s) completed: 11%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0371  acc: 0.6256  lr: 0.0000 
ep/it:178- 175 niter: 68350  332m 7s (- 2459m 29s) completed: 11%) loss_emb: 0.0000  loss: 1.3036  loss_TTT: 0.0365  acc: 0.6178  lr: 0.0000 
ep/it:178- 225 niter: 68400  332m 22s (- 2459m 14s) completed: 11%) loss_emb: 0.0000  loss: 1.3209  loss_TTT: 0.0367  acc: 0.6125  lr: 0.0000 
ep/it:178- 275 niter: 68450  332m 36s (- 2458m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.2922  loss_TTT: 0.0386  acc: 0.6221  lr: 0.0000 
ep/it:178- 325 niter: 68500  332m 50s (- 2458m 38s) completed: 11%) loss_emb: 0.0000  loss: 1.3101  loss_TTT: 0.0362  acc: 0.6155  lr: 0.0000 
ep/it:178- 375 niter: 68550  333m 4s (- 2458m 21s) completed: 11%) loss_emb: 0.0000  loss: 1.2772  loss_TTT: 0.0362  acc: 0.6244  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.593
ep/it:179-  42 niter: 68600  333m 21s (- 2458m 24s) completed: 11%) loss_emb: 0.0000  loss: 1.3146  loss_TTT: 0.0385  acc: 0.6135  lr: 0.0000 
ep/it:179-  92 niter: 68650  333m 35s (- 2458m 5s) completed: 11%) loss_emb: 0.0000  loss: 1.2813  loss_TTT: 0.0367  acc: 0.6223  lr: 0.0000 
ep/it:179- 142 niter: 68700  333m 49s (- 2457m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.3050  loss_TTT: 0.0373  acc: 0.6169  lr: 0.0000 
ep/it:179- 192 niter: 68750  334m 3s (- 2457m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.3034  loss_TTT: 0.0375  acc: 0.6186  lr: 0.0000 
ep/it:179- 242 niter: 68800  334m 17s (- 2457m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.3187  loss_TTT: 0.0369  acc: 0.6154  lr: 0.0000 
ep/it:179- 292 niter: 68850  334m 32s (- 2456m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.3041  loss_TTT: 0.0377  acc: 0.6182  lr: 0.0000 
ep/it:179- 342 niter: 68900  334m 46s (- 2456m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.3324  loss_TTT: 0.0377  acc: 0.6109  lr: 0.0000 
Validation time:
Validation loss:1.419, accuracy:0.602
Improved accuracy from 0.60 to 0.6018811153328937!!!

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.65it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.20it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.62it/s]
100%|██████████| 47/47 [00:06<00:00,  7.80it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.459839846007526 avg: 2.459839846007526
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.473374138120562 avg: 2.466606992064044
--> 	 Eva. Repeat 22 :, FID. 0.1010, Diversity Real. 9.7583, Diversity. 9.9796, R_precision_real. [0.51464844 0.6875     0.79492188], R_precision. [0.50683594 0.69238281 0.7890625 ], matching_score_real. 2.8779, matching_score_pred. 2.9701, skate_ratio. 0.0476, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5107 (traj_fail_50cm (Traj err)): 0.2910 (kps_fail_20cm): 0.3645 (kps_fail_50cm (Loc. err)): 0.1923 (kps_mean_err(m) (Avg. err)): 0.3784 
ep/it:180-   9 niter: 68950  335m 11s (- 2457m 36s) completed: 12%) loss_emb: 0.0000  loss: 1.3181  loss_TTT: 0.0382  acc: 0.6146  lr: 0.0000 
ep/it:180-  59 niter: 69000  335m 25s (- 2457m 19s) completed: 12%) loss_emb: 0.0000  loss: 1.3238  loss_TTT: 0.0373  acc: 0.6128  lr: 0.0000 
ep/it:180- 109 niter: 69050  335m 39s (- 2457m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.2939  loss_TTT: 0.0373  acc: 0.6204  lr: 0.0000 
ep/it:180- 159 niter: 69100  335m 53s (- 2456m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0378  acc: 0.6204  lr: 0.0000 
ep/it:180- 209 niter: 69150  336m 7s (- 2456m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.3037  loss_TTT: 0.0373  acc: 0.6175  lr: 0.0000 
ep/it:180- 259 niter: 69200  336m 21s (- 2456m 4s) completed: 12%) loss_emb: 0.0000  loss: 1.2938  loss_TTT: 0.0372  acc: 0.6214  lr: 0.0000 
ep/it:180- 309 niter: 69250  336m 34s (- 2455m 41s) completed: 12%) loss_emb: 0.0000  loss: 1.3132  loss_TTT: 0.0385  acc: 0.6161  lr: 0.0000 
ep/it:180- 359 niter: 69300  336m 48s (- 2455m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.2751  loss_TTT: 0.0369  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.592
ep/it:181-  26 niter: 69350  337m 5s (- 2455m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.3183  loss_TTT: 0.0398  acc: 0.6143  lr: 0.0000 
ep/it:181-  76 niter: 69400  337m 19s (- 2455m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0360  acc: 0.6241  lr: 0.0000 
ep/it:181- 126 niter: 69450  337m 33s (- 2454m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.3053  loss_TTT: 0.0375  acc: 0.6182  lr: 0.0000 
ep/it:181- 176 niter: 69500  337m 47s (- 2454m 27s) completed: 12%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0360  acc: 0.6174  lr: 0.0000 
ep/it:181- 226 niter: 69550  338m 1s (- 2454m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.3034  loss_TTT: 0.0385  acc: 0.6167  lr: 0.0000 
ep/it:181- 276 niter: 69600  338m 15s (- 2453m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.3229  loss_TTT: 0.0374  acc: 0.6122  lr: 0.0000 
ep/it:181- 326 niter: 69650  338m 29s (- 2453m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.3088  loss_TTT: 0.0375  acc: 0.6171  lr: 0.0000 
ep/it:181- 376 niter: 69700  338m 43s (- 2453m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.3134  loss_TTT: 0.0364  acc: 0.6147  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.599
ep/it:182-  43 niter: 69750  338m 59s (- 2453m 8s) completed: 12%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0361  acc: 0.6232  lr: 0.0000 
ep/it:182-  93 niter: 69800  339m 13s (- 2452m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.3215  loss_TTT: 0.0367  acc: 0.6127  lr: 0.0000 
ep/it:182- 143 niter: 69850  339m 27s (- 2452m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.3083  loss_TTT: 0.0366  acc: 0.6166  lr: 0.0000 
ep/it:182- 193 niter: 69900  339m 41s (- 2452m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.3060  loss_TTT: 0.0370  acc: 0.6170  lr: 0.0000 
ep/it:182- 243 niter: 69950  339m 55s (- 2451m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.3013  loss_TTT: 0.0360  acc: 0.6195  lr: 0.0000 
ep/it:182- 293 niter: 70000  340m 8s (- 2451m 29s) completed: 12%) loss_emb: 0.0000  loss: 1.3129  loss_TTT: 0.0370  acc: 0.6153  lr: 0.0000 
ep/it:182- 343 niter: 70050  340m 23s (- 2451m 12s) completed: 12%) loss_emb: 0.0000  loss: 1.3193  loss_TTT: 0.0366  acc: 0.6138  lr: 0.0000 
Validation time:
Validation loss:1.498, accuracy:0.581
ep/it:183-  10 niter: 70100  340m 39s (- 2451m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.3008  loss_TTT: 0.0369  acc: 0.6191  lr: 0.0000 
ep/it:183-  60 niter: 70150  340m 52s (- 2450m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.3076  loss_TTT: 0.0371  acc: 0.6178  lr: 0.0000 
ep/it:183- 110 niter: 70200  341m 6s (- 2450m 29s) completed: 12%) loss_emb: 0.0000  loss: 1.3168  loss_TTT: 0.0390  acc: 0.6138  lr: 0.0000 
ep/it:183- 160 niter: 70250  341m 20s (- 2450m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.3013  loss_TTT: 0.0371  acc: 0.6188  lr: 0.0000 
ep/it:183- 210 niter: 70300  341m 35s (- 2449m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0373  acc: 0.6300  lr: 0.0000 
ep/it:183- 260 niter: 70350  341m 48s (- 2449m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.3157  loss_TTT: 0.0382  acc: 0.6144  lr: 0.0000 
ep/it:183- 310 niter: 70400  342m 2s (- 2449m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.3115  loss_TTT: 0.0384  acc: 0.6154  lr: 0.0000 
ep/it:183- 360 niter: 70450  342m 16s (- 2448m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.3021  loss_TTT: 0.0373  acc: 0.6182  lr: 0.0000 
Validation time:
Validation loss:1.501, accuracy:0.582
ep/it:184-  27 niter: 70500  342m 32s (- 2448m 51s) completed: 12%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0364  acc: 0.6240  lr: 0.0000 
ep/it:184-  77 niter: 70550  342m 47s (- 2448m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0379  acc: 0.6214  lr: 0.0000 
ep/it:184- 127 niter: 70600  343m 1s (- 2448m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.3200  loss_TTT: 0.0376  acc: 0.6132  lr: 0.0000 
ep/it:184- 177 niter: 70650  343m 15s (- 2448m 1s) completed: 12%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0365  acc: 0.6250  lr: 0.0000 
ep/it:184- 227 niter: 70700  343m 29s (- 2447m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.2951  loss_TTT: 0.0360  acc: 0.6199  lr: 0.0000 
ep/it:184- 277 niter: 70750  343m 43s (- 2447m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.2976  loss_TTT: 0.0361  acc: 0.6196  lr: 0.0000 
ep/it:184- 327 niter: 70800  343m 57s (- 2447m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.3082  loss_TTT: 0.0365  acc: 0.6157  lr: 0.0000 
ep/it:184- 377 niter: 70850  344m 11s (- 2446m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.3025  loss_TTT: 0.0346  acc: 0.6199  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.598
ep/it:185-  44 niter: 70900  344m 27s (- 2446m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.3116  loss_TTT: 0.0366  acc: 0.6149  lr: 0.0000 
ep/it:185-  94 niter: 70950  344m 41s (- 2446m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.3010  loss_TTT: 0.0370  acc: 0.6182  lr: 0.0000 
ep/it:185- 144 niter: 71000  344m 55s (- 2446m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.2894  loss_TTT: 0.0349  acc: 0.6226  lr: 0.0000 
ep/it:185- 194 niter: 71050  345m 10s (- 2445m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.3110  loss_TTT: 0.0373  acc: 0.6174  lr: 0.0000 
ep/it:185- 244 niter: 71100  345m 24s (- 2445m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.3185  loss_TTT: 0.0346  acc: 0.6145  lr: 0.0000 
ep/it:185- 294 niter: 71150  345m 37s (- 2445m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.3190  loss_TTT: 0.0396  acc: 0.6144  lr: 0.0000 
ep/it:185- 344 niter: 71200  345m 51s (- 2444m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.3170  loss_TTT: 0.0370  acc: 0.6144  lr: 0.0000 
Validation time:
Validation loss:1.500, accuracy:0.582
ep/it:186-  11 niter: 71250  346m 7s (- 2444m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.3197  loss_TTT: 0.0370  acc: 0.6131  lr: 0.0000 
ep/it:186-  61 niter: 71300  346m 22s (- 2444m 29s) completed: 12%) loss_emb: 0.0000  loss: 1.2953  loss_TTT: 0.0365  acc: 0.6201  lr: 0.0000 
ep/it:186- 111 niter: 71350  346m 36s (- 2444m 12s) completed: 12%) loss_emb: 0.0000  loss: 1.3232  loss_TTT: 0.0373  acc: 0.6132  lr: 0.0000 
ep/it:186- 161 niter: 71400  346m 50s (- 2443m 53s) completed: 12%) loss_emb: 0.0000  loss: 1.2751  loss_TTT: 0.0361  acc: 0.6257  lr: 0.0000 
ep/it:186- 211 niter: 71450  347m 4s (- 2443m 37s) completed: 12%) loss_emb: 0.0000  loss: 1.3244  loss_TTT: 0.0383  acc: 0.6119  lr: 0.0000 
ep/it:186- 261 niter: 71500  347m 18s (- 2443m 19s) completed: 12%) loss_emb: 0.0000  loss: 1.3010  loss_TTT: 0.0351  acc: 0.6183  lr: 0.0000 
ep/it:186- 311 niter: 71550  347m 32s (- 2443m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.2965  loss_TTT: 0.0396  acc: 0.6198  lr: 0.0000 
ep/it:186- 361 niter: 71600  347m 47s (- 2442m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.3175  loss_TTT: 0.0380  acc: 0.6142  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.594
ep/it:187-  28 niter: 71650  348m 4s (- 2442m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0370  acc: 0.6214  lr: 0.0000 
ep/it:187-  78 niter: 71700  348m 18s (- 2442m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.2992  loss_TTT: 0.0370  acc: 0.6188  lr: 0.0000 
ep/it:187- 128 niter: 71750  348m 31s (- 2442m 8s) completed: 12%) loss_emb: 0.0000  loss: 1.2999  loss_TTT: 0.0382  acc: 0.6199  lr: 0.0000 
ep/it:187- 178 niter: 71800  348m 45s (- 2441m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.2884  loss_TTT: 0.0403  acc: 0.6220  lr: 0.0000 
ep/it:187- 228 niter: 71850  348m 59s (- 2441m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.2971  loss_TTT: 0.0361  acc: 0.6193  lr: 0.0000 
ep/it:187- 278 niter: 71900  349m 13s (- 2441m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0359  acc: 0.6226  lr: 0.0000 
ep/it:187- 328 niter: 71950  349m 27s (- 2440m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.3000  loss_TTT: 0.0362  acc: 0.6194  lr: 0.0000 
ep/it:187- 378 niter: 72000  349m 41s (- 2440m 33s) completed: 12%) loss_emb: 0.0000  loss: 1.3261  loss_TTT: 0.0377  acc: 0.6111  lr: 0.0000 
Validation time:
Validation loss:1.467, accuracy:0.591
ep/it:188-  45 niter: 72050  349m 58s (- 2440m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0370  acc: 0.6248  lr: 0.0000 
ep/it:188-  95 niter: 72100  350m 12s (- 2440m 16s) completed: 12%) loss_emb: 0.0000  loss: 1.2894  loss_TTT: 0.0365  acc: 0.6219  lr: 0.0000 
ep/it:188- 145 niter: 72150  350m 26s (- 2439m 59s) completed: 12%) loss_emb: 0.0000  loss: 1.3004  loss_TTT: 0.0359  acc: 0.6184  lr: 0.0000 
ep/it:188- 195 niter: 72200  350m 40s (- 2439m 41s) completed: 12%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0371  acc: 0.6260  lr: 0.0000 
ep/it:188- 245 niter: 72250  350m 54s (- 2439m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.3085  loss_TTT: 0.0348  acc: 0.6165  lr: 0.0000 
ep/it:188- 295 niter: 72300  351m 8s (- 2439m 3s) completed: 12%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0379  acc: 0.6228  lr: 0.0000 
ep/it:188- 345 niter: 72350  351m 22s (- 2438m 42s) completed: 12%) loss_emb: 0.0000  loss: 1.3024  loss_TTT: 0.0375  acc: 0.6174  lr: 0.0000 
Validation time:
Validation loss:1.494, accuracy:0.584
ep/it:189-  12 niter: 72400  351m 39s (- 2438m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.3302  loss_TTT: 0.0381  acc: 0.6114  lr: 0.0000 
ep/it:189-  62 niter: 72450  351m 53s (- 2438m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.2977  loss_TTT: 0.0365  acc: 0.6194  lr: 0.0000 
ep/it:189- 112 niter: 72500  352m 6s (- 2438m 4s) completed: 12%) loss_emb: 0.0000  loss: 1.2864  loss_TTT: 0.0378  acc: 0.6220  lr: 0.0000 
ep/it:189- 162 niter: 72550  352m 20s (- 2437m 46s) completed: 12%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0364  acc: 0.6235  lr: 0.0000 
ep/it:189- 212 niter: 72600  352m 34s (- 2437m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0365  acc: 0.6247  lr: 0.0000 
ep/it:189- 262 niter: 72650  352m 48s (- 2437m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.3274  loss_TTT: 0.0373  acc: 0.6117  lr: 0.0000 
ep/it:189- 312 niter: 72700  353m 1s (- 2436m 45s) completed: 12%) loss_emb: 0.0000  loss: 1.2927  loss_TTT: 0.0377  acc: 0.6202  lr: 0.0000 
ep/it:189- 362 niter: 72750  353m 15s (- 2436m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.3103  loss_TTT: 0.0362  acc: 0.6152  lr: 0.0000 
Validation time:
Validation loss:1.457, accuracy:0.591

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ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.45302001433447 avg: 2.45302001433447
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4504149188287556 avg: 2.451717466581613
--> 	 Eva. Repeat 22 :, FID. 0.1260, Diversity Real. 9.7992, Diversity. 9.7468, R_precision_real. [0.54296875 0.73339844 0.81738281], R_precision. [0.51660156 0.70507812 0.81347656], matching_score_real. 2.9027, matching_score_pred. 2.9265, skate_ratio. 0.0421, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5244 (traj_fail_50cm (Traj err)): 0.2920 (kps_fail_20cm): 0.3659 (kps_fail_50cm (Loc. err)): 0.1869 (kps_mean_err(m) (Avg. err)): 0.3634 
ep/it:190-  29 niter: 72800  353m 39s (- 2437m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.3003  loss_TTT: 0.0367  acc: 0.6183  lr: 0.0000 
ep/it:190-  79 niter: 72850  353m 53s (- 2436m 56s) completed: 12%) loss_emb: 0.0000  loss: 1.2994  loss_TTT: 0.0373  acc: 0.6191  lr: 0.0000 
ep/it:190- 129 niter: 72900  354m 8s (- 2436m 41s) completed: 12%) loss_emb: 0.0000  loss: 1.3154  loss_TTT: 0.0377  acc: 0.6153  lr: 0.0000 
ep/it:190- 179 niter: 72950  354m 22s (- 2436m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.2932  loss_TTT: 0.0379  acc: 0.6224  lr: 0.0000 
ep/it:190- 229 niter: 73000  354m 36s (- 2436m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.3043  loss_TTT: 0.0372  acc: 0.6178  lr: 0.0000 
ep/it:190- 279 niter: 73050  354m 51s (- 2435m 53s) completed: 12%) loss_emb: 0.0000  loss: 1.3163  loss_TTT: 0.0361  acc: 0.6146  lr: 0.0000 
ep/it:190- 329 niter: 73100  355m 5s (- 2435m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.3071  loss_TTT: 0.0373  acc: 0.6174  lr: 0.0000 
ep/it:190- 379 niter: 73150  355m 19s (- 2435m 20s) completed: 12%) loss_emb: 0.0000  loss: 1.2941  loss_TTT: 0.0377  acc: 0.6198  lr: 0.0000 
Validation time:
Validation loss:1.467, accuracy:0.588
ep/it:191-  46 niter: 73200  355m 37s (- 2435m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.3254  loss_TTT: 0.0368  acc: 0.6120  lr: 0.0000 
ep/it:191-  96 niter: 73250  355m 51s (- 2435m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.3182  loss_TTT: 0.0366  acc: 0.6144  lr: 0.0000 
ep/it:191- 146 niter: 73300  356m 4s (- 2434m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.2998  loss_TTT: 0.0360  acc: 0.6200  lr: 0.0000 
ep/it:191- 196 niter: 73350  356m 18s (- 2434m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.3088  loss_TTT: 0.0381  acc: 0.6173  lr: 0.0000 
ep/it:191- 246 niter: 73400  356m 32s (- 2434m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.2860  loss_TTT: 0.0372  acc: 0.6228  lr: 0.0000 
ep/it:191- 296 niter: 73450  356m 45s (- 2433m 43s) completed: 12%) loss_emb: 0.0000  loss: 1.2954  loss_TTT: 0.0356  acc: 0.6184  lr: 0.0000 
ep/it:191- 346 niter: 73500  356m 59s (- 2433m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0381  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.489, accuracy:0.585
ep/it:192-  13 niter: 73550  357m 16s (- 2433m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.3213  loss_TTT: 0.0384  acc: 0.6141  lr: 0.0000 
ep/it:192-  63 niter: 73600  357m 30s (- 2433m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.2883  loss_TTT: 0.0360  acc: 0.6222  lr: 0.0000 
ep/it:192- 113 niter: 73650  357m 44s (- 2432m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.2996  loss_TTT: 0.0368  acc: 0.6189  lr: 0.0000 
ep/it:192- 163 niter: 73700  357m 58s (- 2432m 31s) completed: 12%) loss_emb: 0.0000  loss: 1.3190  loss_TTT: 0.0378  acc: 0.6132  lr: 0.0000 
ep/it:192- 213 niter: 73750  358m 12s (- 2432m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.3002  loss_TTT: 0.0374  acc: 0.6186  lr: 0.0000 
ep/it:192- 263 niter: 73800  358m 26s (- 2431m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.3165  loss_TTT: 0.0378  acc: 0.6152  lr: 0.0000 
ep/it:192- 313 niter: 73850  358m 40s (- 2431m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0372  acc: 0.6213  lr: 0.0000 
ep/it:192- 363 niter: 73900  358m 54s (- 2431m 12s) completed: 12%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0358  acc: 0.6234  lr: 0.0000 
Validation time:
Validation loss:1.487, accuracy:0.585
ep/it:193-  30 niter: 73950  359m 11s (- 2431m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0381  acc: 0.6168  lr: 0.0000 
ep/it:193-  80 niter: 74000  359m 25s (- 2430m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0364  acc: 0.6206  lr: 0.0000 
ep/it:193- 130 niter: 74050  359m 39s (- 2430m 40s) completed: 12%) loss_emb: 0.0000  loss: 1.2854  loss_TTT: 0.0371  acc: 0.6223  lr: 0.0000 
ep/it:193- 180 niter: 74100  359m 53s (- 2430m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0367  acc: 0.6226  lr: 0.0000 
ep/it:193- 230 niter: 74150  360m 8s (- 2430m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.2895  loss_TTT: 0.0357  acc: 0.6200  lr: 0.0000 
ep/it:193- 280 niter: 74200  360m 21s (- 2429m 46s) completed: 12%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0351  acc: 0.6200  lr: 0.0000 
ep/it:193- 330 niter: 74250  360m 35s (- 2429m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.2995  loss_TTT: 0.0400  acc: 0.6202  lr: 0.0000 
ep/it:193- 380 niter: 74300  360m 49s (- 2429m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.3015  loss_TTT: 0.0370  acc: 0.6193  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.596
ep/it:194-  47 niter: 74350  361m 6s (- 2429m 7s) completed: 12%) loss_emb: 0.0000  loss: 1.3284  loss_TTT: 0.0374  acc: 0.6115  lr: 0.0000 
ep/it:194-  97 niter: 74400  361m 20s (- 2428m 50s) completed: 12%) loss_emb: 0.0000  loss: 1.3180  loss_TTT: 0.0374  acc: 0.6146  lr: 0.0000 
ep/it:194- 147 niter: 74450  361m 34s (- 2428m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.3102  loss_TTT: 0.0371  acc: 0.6163  lr: 0.0000 
ep/it:194- 197 niter: 74500  361m 48s (- 2428m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.2952  loss_TTT: 0.0370  acc: 0.6200  lr: 0.0000 
ep/it:194- 247 niter: 74550  362m 2s (- 2427m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0362  acc: 0.6225  lr: 0.0000 
ep/it:194- 297 niter: 74600  362m 16s (- 2427m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.2966  loss_TTT: 0.0352  acc: 0.6200  lr: 0.0000 
ep/it:194- 347 niter: 74650  362m 30s (- 2427m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.3026  loss_TTT: 0.0387  acc: 0.6179  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.591
ep/it:195-  14 niter: 74700  362m 46s (- 2427m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.3195  loss_TTT: 0.0383  acc: 0.6140  lr: 0.0000 
ep/it:195-  64 niter: 74750  363m 0s (- 2426m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.3151  loss_TTT: 0.0357  acc: 0.6140  lr: 0.0000 
ep/it:195- 114 niter: 74800  363m 13s (- 2426m 34s) completed: 13%) loss_emb: 0.0000  loss: 1.3039  loss_TTT: 0.0378  acc: 0.6187  lr: 0.0000 
ep/it:195- 164 niter: 74850  363m 27s (- 2426m 14s) completed: 13%) loss_emb: 0.0000  loss: 1.2988  loss_TTT: 0.0367  acc: 0.6182  lr: 0.0000 
ep/it:195- 214 niter: 74900  363m 41s (- 2425m 56s) completed: 13%) loss_emb: 0.0000  loss: 1.3175  loss_TTT: 0.0381  acc: 0.6155  lr: 0.0000 
ep/it:195- 264 niter: 74950  363m 55s (- 2425m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.3039  loss_TTT: 0.0358  acc: 0.6175  lr: 0.0000 
ep/it:195- 314 niter: 75000  364m 9s (- 2425m 18s) completed: 13%) loss_emb: 0.0000  loss: 1.3078  loss_TTT: 0.0380  acc: 0.6163  lr: 0.0000 
ep/it:195- 364 niter: 75050  364m 24s (- 2425m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.3095  loss_TTT: 0.0390  acc: 0.6166  lr: 0.0000 
Validation time:
Validation loss:1.522, accuracy:0.575
ep/it:196-  31 niter: 75100  364m 40s (- 2425m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.2989  loss_TTT: 0.0374  acc: 0.6190  lr: 0.0000 
ep/it:196-  81 niter: 75150  364m 54s (- 2424m 44s) completed: 13%) loss_emb: 0.0000  loss: 1.3037  loss_TTT: 0.0350  acc: 0.6167  lr: 0.0000 
ep/it:196- 131 niter: 75200  365m 9s (- 2424m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.2911  loss_TTT: 0.0366  acc: 0.6205  lr: 0.0000 
ep/it:196- 181 niter: 75250  365m 23s (- 2424m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.2964  loss_TTT: 0.0376  acc: 0.6188  lr: 0.0000 
ep/it:196- 231 niter: 75300  365m 36s (- 2423m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.3028  loss_TTT: 0.0376  acc: 0.6189  lr: 0.0000 
ep/it:196- 281 niter: 75350  365m 50s (- 2423m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.2962  loss_TTT: 0.0368  acc: 0.6198  lr: 0.0000 
ep/it:196- 331 niter: 75400  366m 5s (- 2423m 14s) completed: 13%) loss_emb: 0.0000  loss: 1.3088  loss_TTT: 0.0373  acc: 0.6175  lr: 0.0000 
ep/it:196- 381 niter: 75450  366m 18s (- 2422m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.2964  loss_TTT: 0.0352  acc: 0.6190  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.597
ep/it:197-  48 niter: 75500  366m 35s (- 2422m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.3000  loss_TTT: 0.0351  acc: 0.6194  lr: 0.0000 
ep/it:197-  98 niter: 75550  366m 49s (- 2422m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0359  acc: 0.6163  lr: 0.0000 
ep/it:197- 148 niter: 75600  367m 3s (- 2422m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.3116  loss_TTT: 0.0369  acc: 0.6155  lr: 0.0000 
ep/it:197- 198 niter: 75650  367m 17s (- 2422m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0362  acc: 0.6211  lr: 0.0000 
ep/it:197- 248 niter: 75700  367m 31s (- 2421m 43s) completed: 13%) loss_emb: 0.0000  loss: 1.3195  loss_TTT: 0.0391  acc: 0.6142  lr: 0.0000 
ep/it:197- 298 niter: 75750  367m 45s (- 2421m 25s) completed: 13%) loss_emb: 0.0000  loss: 1.2975  loss_TTT: 0.0364  acc: 0.6192  lr: 0.0000 
ep/it:197- 348 niter: 75800  368m 0s (- 2421m 8s) completed: 13%) loss_emb: 0.0000  loss: 1.3035  loss_TTT: 0.0375  acc: 0.6190  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.600
ep/it:198-  15 niter: 75850  368m 16s (- 2421m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.3038  loss_TTT: 0.0368  acc: 0.6172  lr: 0.0000 
ep/it:198-  65 niter: 75900  368m 30s (- 2420m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.3057  loss_TTT: 0.0361  acc: 0.6163  lr: 0.0000 
ep/it:198- 115 niter: 75950  368m 44s (- 2420m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.3086  loss_TTT: 0.0359  acc: 0.6157  lr: 0.0000 
ep/it:198- 165 niter: 76000  368m 58s (- 2420m 13s) completed: 13%) loss_emb: 0.0000  loss: 1.3016  loss_TTT: 0.0378  acc: 0.6182  lr: 0.0000 
ep/it:198- 215 niter: 76050  369m 13s (- 2419m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.3230  loss_TTT: 0.0378  acc: 0.6116  lr: 0.0000 
ep/it:198- 265 niter: 76100  369m 27s (- 2419m 39s) completed: 13%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0367  acc: 0.6247  lr: 0.0000 
ep/it:198- 315 niter: 76150  369m 41s (- 2419m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.3121  loss_TTT: 0.0365  acc: 0.6153  lr: 0.0000 
ep/it:198- 365 niter: 76200  369m 55s (- 2419m 3s) completed: 13%) loss_emb: 0.0000  loss: 1.2974  loss_TTT: 0.0367  acc: 0.6194  lr: 0.0000 
Validation time:
Validation loss:1.474, accuracy:0.586
ep/it:199-  32 niter: 76250  370m 12s (- 2419m 5s) completed: 13%) loss_emb: 0.0000  loss: 1.2856  loss_TTT: 0.0362  acc: 0.6224  lr: 0.0000 
ep/it:199-  82 niter: 76300  370m 26s (- 2418m 48s) completed: 13%) loss_emb: 0.0000  loss: 1.3070  loss_TTT: 0.0346  acc: 0.6153  lr: 0.0000 
ep/it:199- 132 niter: 76350  370m 41s (- 2418m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.3096  loss_TTT: 0.0371  acc: 0.6155  lr: 0.0000 
ep/it:199- 182 niter: 76400  370m 55s (- 2418m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.2939  loss_TTT: 0.0368  acc: 0.6205  lr: 0.0000 
ep/it:199- 232 niter: 76450  371m 9s (- 2417m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.2880  loss_TTT: 0.0363  acc: 0.6224  lr: 0.0000 
ep/it:199- 282 niter: 76500  371m 23s (- 2417m 40s) completed: 13%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0353  acc: 0.6242  lr: 0.0000 
ep/it:199- 332 niter: 76550  371m 37s (- 2417m 21s) completed: 13%) loss_emb: 0.0000  loss: 1.3140  loss_TTT: 0.0377  acc: 0.6161  lr: 0.0000 
ep/it:199- 382 niter: 76600  371m 51s (- 2417m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.3290  loss_TTT: 0.0384  acc: 0.6107  lr: 0.0000 
Validation time:
Validation loss:1.471, accuracy:0.590

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 34%|███▍      | 16/47 [00:03<00:05,  5.39it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.60it/s]
100%|██████████| 47/47 [00:06<00:00,  7.83it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4528718991205096 avg: 2.4528718991205096
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4506229083053768 avg: 2.451747403712943
--> 	 Eva. Repeat 22 :, FID. 0.0990, Diversity Real. 9.4827, Diversity. 9.4009, R_precision_real. [0.51757812 0.69628906 0.7890625 ], R_precision. [0.51464844 0.70410156 0.80957031], matching_score_real. 2.9459, matching_score_pred. 2.9584, skate_ratio. 0.0489, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5459 (traj_fail_50cm (Traj err)): 0.3037 (kps_fail_20cm): 0.3934 (kps_fail_50cm (Loc. err)): 0.2038 (kps_mean_err(m) (Avg. err)): 0.4077 
ep/it:200-  49 niter: 76650  372m 15s (- 2417m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0380  acc: 0.6203  lr: 0.0000 
ep/it:200-  99 niter: 76700  372m 29s (- 2417m 34s) completed: 13%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0372  acc: 0.6240  lr: 0.0000 
ep/it:200- 149 niter: 76750  372m 43s (- 2417m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.2911  loss_TTT: 0.0367  acc: 0.6201  lr: 0.0000 
ep/it:200- 199 niter: 76800  372m 58s (- 2417m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.3025  loss_TTT: 0.0362  acc: 0.6181  lr: 0.0000 
ep/it:200- 249 niter: 76850  373m 12s (- 2416m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.3192  loss_TTT: 0.0354  acc: 0.6139  lr: 0.0000 
ep/it:200- 299 niter: 76900  373m 26s (- 2416m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0374  acc: 0.6257  lr: 0.0000 
ep/it:200- 349 niter: 76950  373m 40s (- 2416m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.3079  loss_TTT: 0.0368  acc: 0.6167  lr: 0.0000 
Validation time:
Validation loss:1.491, accuracy:0.584
ep/it:201-  16 niter: 77000  373m 57s (- 2416m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.3081  loss_TTT: 0.0355  acc: 0.6165  lr: 0.0000 
ep/it:201-  66 niter: 77050  374m 11s (- 2415m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.2795  loss_TTT: 0.0370  acc: 0.6238  lr: 0.0000 
ep/it:201- 116 niter: 77100  374m 25s (- 2415m 35s) completed: 13%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0354  acc: 0.6251  lr: 0.0000 
ep/it:201- 166 niter: 77150  374m 39s (- 2415m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.3110  loss_TTT: 0.0377  acc: 0.6158  lr: 0.0000 
ep/it:201- 216 niter: 77200  374m 54s (- 2415m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.2956  loss_TTT: 0.0361  acc: 0.6212  lr: 0.0000 
ep/it:201- 266 niter: 77250  375m 8s (- 2414m 44s) completed: 13%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0363  acc: 0.6205  lr: 0.0000 
ep/it:201- 316 niter: 77300  375m 22s (- 2414m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0383  acc: 0.6234  lr: 0.0000 
ep/it:201- 366 niter: 77350  375m 36s (- 2414m 11s) completed: 13%) loss_emb: 0.0000  loss: 1.3132  loss_TTT: 0.0358  acc: 0.6147  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.595
ep/it:202-  33 niter: 77400  375m 54s (- 2414m 13s) completed: 13%) loss_emb: 0.0000  loss: 1.2890  loss_TTT: 0.0367  acc: 0.6213  lr: 0.0000 
ep/it:202-  83 niter: 77450  376m 8s (- 2413m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.3021  loss_TTT: 0.0380  acc: 0.6207  lr: 0.0000 
ep/it:202- 133 niter: 77500  376m 22s (- 2413m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0375  acc: 0.6214  lr: 0.0000 
ep/it:202- 183 niter: 77550  376m 37s (- 2413m 24s) completed: 13%) loss_emb: 0.0000  loss: 1.3213  loss_TTT: 0.0385  acc: 0.6131  lr: 0.0000 
ep/it:202- 233 niter: 77600  376m 51s (- 2413m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0374  acc: 0.6259  lr: 0.0000 
ep/it:202- 283 niter: 77650  377m 5s (- 2412m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.2568  loss_TTT: 0.0352  acc: 0.6296  lr: 0.0000 
ep/it:202- 333 niter: 77700  377m 20s (- 2412m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.2931  loss_TTT: 0.0357  acc: 0.6196  lr: 0.0000 
Validation time:
Validation loss:1.476, accuracy:0.588
ep/it:203-   0 niter: 77750  377m 37s (- 2412m 41s) completed: 13%) loss_emb: 0.0000  loss: 1.3165  loss_TTT: 0.0355  acc: 0.6144  lr: 0.0000 
ep/it:203-  50 niter: 77800  377m 52s (- 2412m 25s) completed: 13%) loss_emb: 0.0000  loss: 1.3115  loss_TTT: 0.0370  acc: 0.6159  lr: 0.0000 
ep/it:203- 100 niter: 77850  378m 6s (- 2412m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.2896  loss_TTT: 0.0376  acc: 0.6220  lr: 0.0000 
ep/it:203- 150 niter: 77900  378m 20s (- 2411m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.3273  loss_TTT: 0.0359  acc: 0.6118  lr: 0.0000 
ep/it:203- 200 niter: 77950  378m 34s (- 2411m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.2781  loss_TTT: 0.0367  acc: 0.6239  lr: 0.0000 
ep/it:203- 250 niter: 78000  378m 48s (- 2411m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0365  acc: 0.6201  lr: 0.0000 
ep/it:203- 300 niter: 78050  379m 3s (- 2411m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.3130  loss_TTT: 0.0382  acc: 0.6158  lr: 0.0000 
ep/it:203- 350 niter: 78100  379m 17s (- 2410m 43s) completed: 13%) loss_emb: 0.0000  loss: 1.3031  loss_TTT: 0.0366  acc: 0.6177  lr: 0.0000 
Validation time:
Validation loss:1.470, accuracy:0.590
ep/it:204-  17 niter: 78150  379m 33s (- 2410m 43s) completed: 13%) loss_emb: 0.0000  loss: 1.3322  loss_TTT: 0.0368  acc: 0.6097  lr: 0.0000 
ep/it:204-  67 niter: 78200  379m 48s (- 2410m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.3058  loss_TTT: 0.0355  acc: 0.6175  lr: 0.0000 
ep/it:204- 117 niter: 78250  380m 1s (- 2410m 6s) completed: 13%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0365  acc: 0.6200  lr: 0.0000 
ep/it:204- 167 niter: 78300  380m 16s (- 2409m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0386  acc: 0.6251  lr: 0.0000 
ep/it:204- 217 niter: 78350  380m 30s (- 2409m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0369  acc: 0.6161  lr: 0.0000 
ep/it:204- 267 niter: 78400  380m 43s (- 2409m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0350  acc: 0.6231  lr: 0.0000 
ep/it:204- 317 niter: 78450  380m 57s (- 2408m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.3117  loss_TTT: 0.0377  acc: 0.6155  lr: 0.0000 
ep/it:204- 367 niter: 78500  381m 11s (- 2408m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0357  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.596
ep/it:205-  34 niter: 78550  381m 28s (- 2408m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.2887  loss_TTT: 0.0363  acc: 0.6212  lr: 0.0000 
ep/it:205-  84 niter: 78600  381m 42s (- 2408m 14s) completed: 13%) loss_emb: 0.0000  loss: 1.3173  loss_TTT: 0.0360  acc: 0.6134  lr: 0.0000 
ep/it:205- 134 niter: 78650  381m 56s (- 2407m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.3164  loss_TTT: 0.0360  acc: 0.6143  lr: 0.0000 
ep/it:205- 184 niter: 78700  382m 10s (- 2407m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0373  acc: 0.6221  lr: 0.0000 
ep/it:205- 234 niter: 78750  382m 24s (- 2407m 18s) completed: 13%) loss_emb: 0.0000  loss: 1.3081  loss_TTT: 0.0357  acc: 0.6171  lr: 0.0000 
ep/it:205- 284 niter: 78800  382m 38s (- 2407m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0344  acc: 0.6234  lr: 0.0000 
ep/it:205- 334 niter: 78850  382m 52s (- 2406m 41s) completed: 13%) loss_emb: 0.0000  loss: 1.3169  loss_TTT: 0.0370  acc: 0.6140  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.595
ep/it:206-   1 niter: 78900  383m 8s (- 2406m 38s) completed: 13%) loss_emb: 0.0000  loss: 1.3112  loss_TTT: 0.0384  acc: 0.6152  lr: 0.0000 
ep/it:206-  51 niter: 78950  383m 22s (- 2406m 23s) completed: 13%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0366  acc: 0.6139  lr: 0.0000 
ep/it:206- 101 niter: 79000  383m 37s (- 2406m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0373  acc: 0.6269  lr: 0.0000 
ep/it:206- 151 niter: 79050  383m 51s (- 2405m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.2956  loss_TTT: 0.0363  acc: 0.6188  lr: 0.0000 
ep/it:206- 201 niter: 79100  384m 5s (- 2405m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.2854  loss_TTT: 0.0369  acc: 0.6222  lr: 0.0000 
ep/it:206- 251 niter: 79150  384m 19s (- 2405m 13s) completed: 13%) loss_emb: 0.0000  loss: 1.3161  loss_TTT: 0.0376  acc: 0.6152  lr: 0.0000 
ep/it:206- 301 niter: 79200  384m 32s (- 2404m 51s) completed: 13%) loss_emb: 0.0000  loss: 1.3134  loss_TTT: 0.0359  acc: 0.6149  lr: 0.0000 
ep/it:206- 351 niter: 79250  384m 46s (- 2404m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.3049  loss_TTT: 0.0368  acc: 0.6171  lr: 0.0000 
Validation time:
Validation loss:1.479, accuracy:0.589
ep/it:207-  18 niter: 79300  385m 3s (- 2404m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.2910  loss_TTT: 0.0350  acc: 0.6214  lr: 0.0000 
ep/it:207-  68 niter: 79350  385m 16s (- 2404m 11s) completed: 13%) loss_emb: 0.0000  loss: 1.3118  loss_TTT: 0.0368  acc: 0.6150  lr: 0.0000 
ep/it:207- 118 niter: 79400  385m 31s (- 2403m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.3050  loss_TTT: 0.0370  acc: 0.6178  lr: 0.0000 
ep/it:207- 168 niter: 79450  385m 45s (- 2403m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.2891  loss_TTT: 0.0383  acc: 0.6223  lr: 0.0000 
ep/it:207- 218 niter: 79500  385m 58s (- 2403m 16s) completed: 13%) loss_emb: 0.0000  loss: 1.2786  loss_TTT: 0.0359  acc: 0.6241  lr: 0.0000 
ep/it:207- 268 niter: 79550  386m 13s (- 2402m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0358  acc: 0.6289  lr: 0.0000 
ep/it:207- 318 niter: 79600  386m 27s (- 2402m 41s) completed: 13%) loss_emb: 0.0000  loss: 1.3040  loss_TTT: 0.0360  acc: 0.6167  lr: 0.0000 
ep/it:207- 368 niter: 79650  386m 40s (- 2402m 21s) completed: 13%) loss_emb: 0.0000  loss: 1.3367  loss_TTT: 0.0365  acc: 0.6067  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.596
ep/it:208-  35 niter: 79700  386m 57s (- 2402m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.3052  loss_TTT: 0.0374  acc: 0.6174  lr: 0.0000 
ep/it:208-  85 niter: 79750  387m 11s (- 2402m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.2917  loss_TTT: 0.0353  acc: 0.6198  lr: 0.0000 
ep/it:208- 135 niter: 79800  387m 25s (- 2401m 43s) completed: 13%) loss_emb: 0.0000  loss: 1.2997  loss_TTT: 0.0350  acc: 0.6195  lr: 0.0000 
ep/it:208- 185 niter: 79850  387m 39s (- 2401m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.2911  loss_TTT: 0.0372  acc: 0.6215  lr: 0.0000 
ep/it:208- 235 niter: 79900  387m 53s (- 2401m 6s) completed: 13%) loss_emb: 0.0000  loss: 1.3134  loss_TTT: 0.0353  acc: 0.6136  lr: 0.0000 
ep/it:208- 285 niter: 79950  388m 6s (- 2400m 46s) completed: 13%) loss_emb: 0.0000  loss: 1.3089  loss_TTT: 0.0362  acc: 0.6176  lr: 0.0000 
ep/it:208- 335 niter: 80000  388m 20s (- 2400m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.2789  loss_TTT: 0.0375  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.595
ep/it:209-   2 niter: 80050  388m 37s (- 2400m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.3027  loss_TTT: 0.0364  acc: 0.6183  lr: 0.0000 
ep/it:209-  52 niter: 80100  388m 51s (- 2400m 11s) completed: 13%) loss_emb: 0.0000  loss: 1.3142  loss_TTT: 0.0392  acc: 0.6149  lr: 0.0000 
ep/it:209- 102 niter: 80150  389m 5s (- 2399m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.2985  loss_TTT: 0.0370  acc: 0.6179  lr: 0.0000 
ep/it:209- 152 niter: 80200  389m 20s (- 2399m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0375  acc: 0.6230  lr: 0.0000 
ep/it:209- 202 niter: 80250  389m 34s (- 2399m 22s) completed: 13%) loss_emb: 0.0000  loss: 1.3108  loss_TTT: 0.0363  acc: 0.6159  lr: 0.0000 
ep/it:209- 252 niter: 80300  389m 48s (- 2399m 3s) completed: 13%) loss_emb: 0.0000  loss: 1.2970  loss_TTT: 0.0364  acc: 0.6194  lr: 0.0000 
ep/it:209- 302 niter: 80350  390m 2s (- 2398m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.3079  loss_TTT: 0.0364  acc: 0.6163  lr: 0.0000 
ep/it:209- 352 niter: 80400  390m 16s (- 2398m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.3084  loss_TTT: 0.0354  acc: 0.6169  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.593

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.24it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.29it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.57it/s]
100%|██████████| 47/47 [00:05<00:00,  7.89it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4608038179576397 avg: 2.4608038179576397
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4920692751184106 avg: 2.476436546538025
--> 	 Eva. Repeat 22 :, FID. 0.0836, Diversity Real. 9.9206, Diversity. 10.0764, R_precision_real. [0.49414062 0.68261719 0.78515625], R_precision. [0.50488281 0.68261719 0.78613281], matching_score_real. 2.9465, matching_score_pred. 2.9947, skate_ratio. 0.0436, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5205 (traj_fail_50cm (Traj err)): 0.3027 (kps_fail_20cm): 0.3793 (kps_fail_50cm (Loc. err)): 0.2009 (kps_mean_err(m) (Avg. err)): 0.3633 
ep/it:210-  19 niter: 80450  390m 39s (- 2399m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.2813  loss_TTT: 0.0375  acc: 0.6227  lr: 0.0000 
ep/it:210-  69 niter: 80500  390m 53s (- 2398m 43s) completed: 14%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0378  acc: 0.6217  lr: 0.0000 
ep/it:210- 119 niter: 80550  391m 7s (- 2398m 27s) completed: 14%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0342  acc: 0.6226  lr: 0.0000 
ep/it:210- 169 niter: 80600  391m 21s (- 2398m 7s) completed: 14%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0348  acc: 0.6249  lr: 0.0000 
ep/it:210- 219 niter: 80650  391m 35s (- 2397m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.2960  loss_TTT: 0.0366  acc: 0.6201  lr: 0.0000 
ep/it:210- 269 niter: 80700  391m 49s (- 2397m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.2947  loss_TTT: 0.0376  acc: 0.6203  lr: 0.0000 
ep/it:210- 319 niter: 80750  392m 3s (- 2397m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.3046  loss_TTT: 0.0367  acc: 0.6156  lr: 0.0000 
ep/it:210- 369 niter: 80800  392m 17s (- 2396m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0385  acc: 0.6219  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.593
ep/it:211-  36 niter: 80850  392m 34s (- 2396m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.3429  loss_TTT: 0.0379  acc: 0.6083  lr: 0.0000 
ep/it:211-  86 niter: 80900  392m 48s (- 2396m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.3146  loss_TTT: 0.0353  acc: 0.6134  lr: 0.0000 
ep/it:211- 136 niter: 80950  393m 2s (- 2396m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0366  acc: 0.6235  lr: 0.0000 
ep/it:211- 186 niter: 81000  393m 16s (- 2396m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.3171  loss_TTT: 0.0361  acc: 0.6137  lr: 0.0000 
ep/it:211- 236 niter: 81050  393m 30s (- 2395m 44s) completed: 14%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0357  acc: 0.6316  lr: 0.0000 
ep/it:211- 286 niter: 81100  393m 44s (- 2395m 26s) completed: 14%) loss_emb: 0.0000  loss: 1.3187  loss_TTT: 0.0365  acc: 0.6127  lr: 0.0000 
ep/it:211- 336 niter: 81150  393m 58s (- 2395m 10s) completed: 14%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0373  acc: 0.6217  lr: 0.0000 
Validation time:
Validation loss:1.489, accuracy:0.584
ep/it:212-   3 niter: 81200  394m 15s (- 2395m 7s) completed: 14%) loss_emb: 0.0000  loss: 1.2977  loss_TTT: 0.0351  acc: 0.6195  lr: 0.0000 
ep/it:212-  53 niter: 81250  394m 29s (- 2394m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0356  acc: 0.6236  lr: 0.0000 
ep/it:212- 103 niter: 81300  394m 43s (- 2394m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.3077  loss_TTT: 0.0356  acc: 0.6166  lr: 0.0000 
ep/it:212- 153 niter: 81350  394m 57s (- 2394m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.3080  loss_TTT: 0.0380  acc: 0.6157  lr: 0.0000 
ep/it:212- 203 niter: 81400  395m 12s (- 2394m 1s) completed: 14%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0367  acc: 0.6263  lr: 0.0000 
ep/it:212- 253 niter: 81450  395m 26s (- 2393m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0352  acc: 0.6215  lr: 0.0000 
ep/it:212- 303 niter: 81500  395m 40s (- 2393m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0357  acc: 0.6261  lr: 0.0000 
ep/it:212- 353 niter: 81550  395m 55s (- 2393m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0376  acc: 0.6246  lr: 0.0000 
Validation time:
Validation loss:1.487, accuracy:0.585
ep/it:213-  20 niter: 81600  396m 11s (- 2393m 13s) completed: 14%) loss_emb: 0.0000  loss: 1.3036  loss_TTT: 0.0353  acc: 0.6171  lr: 0.0000 
ep/it:213-  70 niter: 81650  396m 26s (- 2392m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0372  acc: 0.6210  lr: 0.0000 
ep/it:213- 120 niter: 81700  396m 40s (- 2392m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0375  acc: 0.6194  lr: 0.0000 
ep/it:213- 170 niter: 81750  396m 54s (- 2392m 21s) completed: 14%) loss_emb: 0.0000  loss: 1.2932  loss_TTT: 0.0364  acc: 0.6196  lr: 0.0000 
ep/it:213- 220 niter: 81800  397m 8s (- 2392m 4s) completed: 14%) loss_emb: 0.0000  loss: 1.3167  loss_TTT: 0.0350  acc: 0.6132  lr: 0.0000 
ep/it:213- 270 niter: 81850  397m 22s (- 2391m 47s) completed: 14%) loss_emb: 0.0000  loss: 1.3135  loss_TTT: 0.0379  acc: 0.6155  lr: 0.0000 
ep/it:213- 320 niter: 81900  397m 37s (- 2391m 34s) completed: 14%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0366  acc: 0.6206  lr: 0.0000 
ep/it:213- 370 niter: 81950  397m 51s (- 2391m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.2999  loss_TTT: 0.0352  acc: 0.6192  lr: 0.0000 
Validation time:
Validation loss:1.517, accuracy:0.577
ep/it:214-  37 niter: 82000  398m 8s (- 2391m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0374  acc: 0.6160  lr: 0.0000 
ep/it:214-  87 niter: 82050  398m 22s (- 2390m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0362  acc: 0.6234  lr: 0.0000 
ep/it:214- 137 niter: 82100  398m 35s (- 2390m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.3073  loss_TTT: 0.0357  acc: 0.6164  lr: 0.0000 
ep/it:214- 187 niter: 82150  398m 49s (- 2390m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.3081  loss_TTT: 0.0347  acc: 0.6168  lr: 0.0000 
ep/it:214- 237 niter: 82200  399m 3s (- 2389m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.3085  loss_TTT: 0.0391  acc: 0.6165  lr: 0.0000 
ep/it:214- 287 niter: 82250  399m 22s (- 2390m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.2927  loss_TTT: 0.0360  acc: 0.6208  lr: 0.0000 
ep/it:214- 337 niter: 82300  399m 36s (- 2389m 52s) completed: 14%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0384  acc: 0.6302  lr: 0.0000 
Validation time:
Validation loss:1.485, accuracy:0.586
ep/it:215-   4 niter: 82350  399m 53s (- 2389m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.3073  loss_TTT: 0.0372  acc: 0.6163  lr: 0.0000 
ep/it:215-  54 niter: 82400  400m 8s (- 2389m 41s) completed: 14%) loss_emb: 0.0000  loss: 1.2930  loss_TTT: 0.0358  acc: 0.6199  lr: 0.0000 
ep/it:215- 104 niter: 82450  400m 22s (- 2389m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0370  acc: 0.6260  lr: 0.0000 
ep/it:215- 154 niter: 82500  400m 37s (- 2389m 8s) completed: 14%) loss_emb: 0.0000  loss: 1.3235  loss_TTT: 0.0374  acc: 0.6125  lr: 0.0000 
ep/it:215- 204 niter: 82550  400m 52s (- 2388m 55s) completed: 14%) loss_emb: 0.0000  loss: 1.3174  loss_TTT: 0.0358  acc: 0.6135  lr: 0.0000 
ep/it:215- 254 niter: 82600  401m 6s (- 2388m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.3136  loss_TTT: 0.0367  acc: 0.6148  lr: 0.0000 
ep/it:215- 304 niter: 82650  401m 20s (- 2388m 22s) completed: 14%) loss_emb: 0.0000  loss: 1.2886  loss_TTT: 0.0358  acc: 0.6218  lr: 0.0000 
ep/it:215- 354 niter: 82700  401m 34s (- 2388m 6s) completed: 14%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0365  acc: 0.6240  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.590
ep/it:216-  21 niter: 82750  401m 51s (- 2388m 4s) completed: 14%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0357  acc: 0.6209  lr: 0.0000 
ep/it:216-  71 niter: 82800  402m 5s (- 2387m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.2964  loss_TTT: 0.0350  acc: 0.6188  lr: 0.0000 
ep/it:216- 121 niter: 82850  402m 19s (- 2387m 27s) completed: 14%) loss_emb: 0.0000  loss: 1.2924  loss_TTT: 0.0362  acc: 0.6208  lr: 0.0000 
ep/it:216- 171 niter: 82900  402m 33s (- 2387m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0358  acc: 0.6260  lr: 0.0000 
ep/it:216- 221 niter: 82950  402m 47s (- 2386m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0356  acc: 0.6295  lr: 0.0000 
ep/it:216- 271 niter: 83000  403m 1s (- 2386m 34s) completed: 14%) loss_emb: 0.0000  loss: 1.2901  loss_TTT: 0.0353  acc: 0.6218  lr: 0.0000 
ep/it:216- 321 niter: 83050  403m 15s (- 2386m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.3117  loss_TTT: 0.0378  acc: 0.6145  lr: 0.0000 
ep/it:216- 371 niter: 83100  403m 29s (- 2385m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0365  acc: 0.6298  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.592
ep/it:217-  38 niter: 83150  403m 46s (- 2385m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.2874  loss_TTT: 0.0358  acc: 0.6222  lr: 0.0000 
ep/it:217-  88 niter: 83200  404m 0s (- 2385m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.3086  loss_TTT: 0.0362  acc: 0.6165  lr: 0.0000 
ep/it:217- 138 niter: 83250  404m 14s (- 2385m 21s) completed: 14%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0375  acc: 0.6189  lr: 0.0000 
ep/it:217- 188 niter: 83300  404m 28s (- 2385m 6s) completed: 14%) loss_emb: 0.0000  loss: 1.3099  loss_TTT: 0.0360  acc: 0.6169  lr: 0.0000 
ep/it:217- 238 niter: 83350  404m 42s (- 2384m 47s) completed: 14%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0349  acc: 0.6212  lr: 0.0000 
ep/it:217- 288 niter: 83400  404m 56s (- 2384m 31s) completed: 14%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0352  acc: 0.6237  lr: 0.0000 
ep/it:217- 338 niter: 83450  405m 10s (- 2384m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.3065  loss_TTT: 0.0366  acc: 0.6159  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.595
ep/it:218-   5 niter: 83500  405m 27s (- 2384m 11s) completed: 14%) loss_emb: 0.0000  loss: 1.2959  loss_TTT: 0.0386  acc: 0.6208  lr: 0.0000 
ep/it:218-  55 niter: 83550  405m 41s (- 2383m 53s) completed: 14%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0366  acc: 0.6227  lr: 0.0000 
ep/it:218- 105 niter: 83600  405m 55s (- 2383m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.2895  loss_TTT: 0.0367  acc: 0.6203  lr: 0.0000 
ep/it:218- 155 niter: 83650  406m 9s (- 2383m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.2985  loss_TTT: 0.0361  acc: 0.6189  lr: 0.0000 
ep/it:218- 205 niter: 83700  406m 23s (- 2382m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0368  acc: 0.6218  lr: 0.0000 
ep/it:218- 255 niter: 83750  406m 37s (- 2382m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.3110  loss_TTT: 0.0362  acc: 0.6166  lr: 0.0000 
ep/it:218- 305 niter: 83800  406m 51s (- 2382m 21s) completed: 14%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0354  acc: 0.6238  lr: 0.0000 
ep/it:218- 355 niter: 83850  407m 5s (- 2382m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0358  acc: 0.6222  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.591
ep/it:219-  22 niter: 83900  407m 22s (- 2382m 6s) completed: 14%) loss_emb: 0.0000  loss: 1.3053  loss_TTT: 0.0358  acc: 0.6165  lr: 0.0000 
ep/it:219-  72 niter: 83950  407m 37s (- 2381m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.3099  loss_TTT: 0.0365  acc: 0.6159  lr: 0.0000 
ep/it:219- 122 niter: 84000  407m 51s (- 2381m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.3150  loss_TTT: 0.0382  acc: 0.6166  lr: 0.0000 
ep/it:219- 172 niter: 84050  408m 5s (- 2381m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.2953  loss_TTT: 0.0357  acc: 0.6193  lr: 0.0000 
ep/it:219- 222 niter: 84100  408m 20s (- 2381m 8s) completed: 14%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0359  acc: 0.6232  lr: 0.0000 
ep/it:219- 272 niter: 84150  408m 35s (- 2380m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.3225  loss_TTT: 0.0365  acc: 0.6115  lr: 0.0000 
ep/it:219- 322 niter: 84200  408m 50s (- 2380m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0348  acc: 0.6252  lr: 0.0000 
ep/it:219- 372 niter: 84250  409m 4s (- 2380m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0366  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.594

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.84it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.37it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.65it/s]
100%|██████████| 47/47 [00:05<00:00,  7.89it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4533913899213076 avg: 2.4533913899213076
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5172691326588392 avg: 2.4853302612900734
--> 	 Eva. Repeat 22 :, FID. 0.1002, Diversity Real. 9.5680, Diversity. 9.7899, R_precision_real. [0.53125    0.71191406 0.796875  ], R_precision. [0.51953125 0.71484375 0.80273438], matching_score_real. 2.9054, matching_score_pred. 2.9754, skate_ratio. 0.0471, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5342 (traj_fail_50cm (Traj err)): 0.3242 (kps_fail_20cm): 0.3815 (kps_fail_50cm (Loc. err)): 0.2118 (kps_mean_err(m) (Avg. err)): 0.3763 
ep/it:220-  39 niter: 84300  409m 27s (- 2381m 0s) completed: 14%) loss_emb: 0.0000  loss: 1.3116  loss_TTT: 0.0369  acc: 0.6153  lr: 0.0000 
ep/it:220-  89 niter: 84350  409m 41s (- 2380m 41s) completed: 14%) loss_emb: 0.0000  loss: 1.3118  loss_TTT: 0.0347  acc: 0.6149  lr: 0.0000 
ep/it:220- 139 niter: 84400  409m 55s (- 2380m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.3151  loss_TTT: 0.0352  acc: 0.6142  lr: 0.0000 
ep/it:220- 189 niter: 84450  410m 9s (- 2380m 7s) completed: 14%) loss_emb: 0.0000  loss: 1.3181  loss_TTT: 0.0373  acc: 0.6136  lr: 0.0000 
ep/it:220- 239 niter: 84500  410m 23s (- 2379m 48s) completed: 14%) loss_emb: 0.0000  loss: 1.3195  loss_TTT: 0.0370  acc: 0.6121  lr: 0.0000 
ep/it:220- 289 niter: 84550  410m 38s (- 2379m 34s) completed: 14%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0385  acc: 0.6241  lr: 0.0000 
ep/it:220- 339 niter: 84600  410m 52s (- 2379m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0349  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.488, accuracy:0.584
ep/it:221-   6 niter: 84650  411m 9s (- 2379m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0355  acc: 0.6220  lr: 0.0000 
ep/it:221-  56 niter: 84700  411m 23s (- 2378m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.2984  loss_TTT: 0.0349  acc: 0.6185  lr: 0.0000 
ep/it:221- 106 niter: 84750  411m 38s (- 2378m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.3109  loss_TTT: 0.0353  acc: 0.6158  lr: 0.0000 
ep/it:221- 156 niter: 84800  411m 52s (- 2378m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0377  acc: 0.6265  lr: 0.0000 
ep/it:221- 206 niter: 84850  412m 6s (- 2378m 13s) completed: 14%) loss_emb: 0.0000  loss: 1.2945  loss_TTT: 0.0354  acc: 0.6215  lr: 0.0000 
ep/it:221- 256 niter: 84900  412m 21s (- 2377m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0351  acc: 0.6282  lr: 0.0000 
ep/it:221- 306 niter: 84950  412m 34s (- 2377m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0379  acc: 0.6198  lr: 0.0000 
ep/it:221- 356 niter: 85000  412m 49s (- 2377m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0353  acc: 0.6183  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.601
ep/it:222-  23 niter: 85050  413m 6s (- 2377m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0368  acc: 0.6275  lr: 0.0000 
ep/it:222-  73 niter: 85100  413m 21s (- 2377m 8s) completed: 14%) loss_emb: 0.0000  loss: 1.3032  loss_TTT: 0.0351  acc: 0.6182  lr: 0.0000 
ep/it:222- 123 niter: 85150  413m 35s (- 2376m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.3066  loss_TTT: 0.0364  acc: 0.6157  lr: 0.0000 
ep/it:222- 173 niter: 85200  413m 49s (- 2376m 34s) completed: 14%) loss_emb: 0.0000  loss: 1.3030  loss_TTT: 0.0365  acc: 0.6187  lr: 0.0000 
ep/it:222- 223 niter: 85250  414m 3s (- 2376m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.2796  loss_TTT: 0.0356  acc: 0.6237  lr: 0.0000 
ep/it:222- 273 niter: 85300  414m 18s (- 2376m 4s) completed: 14%) loss_emb: 0.0000  loss: 1.2836  loss_TTT: 0.0347  acc: 0.6237  lr: 0.0000 
ep/it:222- 323 niter: 85350  414m 32s (- 2375m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0382  acc: 0.6254  lr: 0.0000 
ep/it:222- 373 niter: 85400  414m 46s (- 2375m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.3064  loss_TTT: 0.0369  acc: 0.6167  lr: 0.0000 
Validation time:
Validation loss:1.471, accuracy:0.589
ep/it:223-  40 niter: 85450  415m 4s (- 2375m 31s) completed: 14%) loss_emb: 0.0000  loss: 1.2906  loss_TTT: 0.0366  acc: 0.6217  lr: 0.0000 
ep/it:223-  90 niter: 85500  415m 19s (- 2375m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.2928  loss_TTT: 0.0351  acc: 0.6198  lr: 0.0000 
ep/it:223- 140 niter: 85550  415m 34s (- 2375m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.2857  loss_TTT: 0.0351  acc: 0.6219  lr: 0.0000 
ep/it:223- 190 niter: 85600  415m 48s (- 2374m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0370  acc: 0.6260  lr: 0.0000 
ep/it:223- 240 niter: 85650  416m 4s (- 2374m 43s) completed: 14%) loss_emb: 0.0000  loss: 1.3028  loss_TTT: 0.0345  acc: 0.6180  lr: 0.0000 
ep/it:223- 290 niter: 85700  416m 18s (- 2374m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0357  acc: 0.6228  lr: 0.0000 
ep/it:223- 340 niter: 85750  416m 33s (- 2374m 13s) completed: 14%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0370  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.599
ep/it:224-   7 niter: 85800  416m 50s (- 2374m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.2972  loss_TTT: 0.0361  acc: 0.6196  lr: 0.0000 
ep/it:224-  57 niter: 85850  417m 4s (- 2373m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.2731  loss_TTT: 0.0367  acc: 0.6248  lr: 0.0000 
ep/it:224- 107 niter: 85900  417m 18s (- 2373m 42s) completed: 14%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0367  acc: 0.6252  lr: 0.0000 
ep/it:224- 157 niter: 85950  417m 33s (- 2373m 26s) completed: 14%) loss_emb: 0.0000  loss: 1.2951  loss_TTT: 0.0357  acc: 0.6183  lr: 0.0000 
ep/it:224- 207 niter: 86000  417m 48s (- 2373m 12s) completed: 14%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0366  acc: 0.6193  lr: 0.0000 
ep/it:224- 257 niter: 86050  418m 2s (- 2372m 55s) completed: 14%) loss_emb: 0.0000  loss: 1.3234  loss_TTT: 0.0358  acc: 0.6128  lr: 0.0000 
ep/it:224- 307 niter: 86100  418m 16s (- 2372m 39s) completed: 14%) loss_emb: 0.0000  loss: 1.2796  loss_TTT: 0.0365  acc: 0.6241  lr: 0.0000 
ep/it:224- 357 niter: 86150  418m 30s (- 2372m 23s) completed: 14%) loss_emb: 0.0000  loss: 1.3059  loss_TTT: 0.0361  acc: 0.6169  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.605
Improved accuracy from 0.60 to 0.6046073592227438!!!
ep/it:225-  24 niter: 86200  418m 48s (- 2372m 27s) completed: 15%) loss_emb: 0.0000  loss: 1.3180  loss_TTT: 0.0362  acc: 0.6144  lr: 0.0000 
ep/it:225-  74 niter: 86250  419m 3s (- 2372m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.2923  loss_TTT: 0.0376  acc: 0.6206  lr: 0.0000 
ep/it:225- 124 niter: 86300  419m 18s (- 2372m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0346  acc: 0.6246  lr: 0.0000 
ep/it:225- 174 niter: 86350  419m 33s (- 2371m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0354  acc: 0.6236  lr: 0.0000 
ep/it:225- 224 niter: 86400  419m 47s (- 2371m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.3022  loss_TTT: 0.0351  acc: 0.6186  lr: 0.0000 
ep/it:225- 274 niter: 86450  420m 3s (- 2371m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0364  acc: 0.6268  lr: 0.0000 
ep/it:225- 324 niter: 86500  420m 18s (- 2371m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.3033  loss_TTT: 0.0354  acc: 0.6180  lr: 0.0000 
ep/it:225- 374 niter: 86550  420m 32s (- 2370m 57s) completed: 15%) loss_emb: 0.0000  loss: 1.2911  loss_TTT: 0.0353  acc: 0.6213  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.587
ep/it:226-  41 niter: 86600  420m 50s (- 2370m 59s) completed: 15%) loss_emb: 0.0000  loss: 1.3173  loss_TTT: 0.0362  acc: 0.6143  lr: 0.0000 
ep/it:226-  91 niter: 86650  421m 4s (- 2370m 43s) completed: 15%) loss_emb: 0.0000  loss: 1.2883  loss_TTT: 0.0374  acc: 0.6218  lr: 0.0000 
ep/it:226- 141 niter: 86700  421m 19s (- 2370m 27s) completed: 15%) loss_emb: 0.0000  loss: 1.3023  loss_TTT: 0.0355  acc: 0.6184  lr: 0.0000 
ep/it:226- 191 niter: 86750  421m 33s (- 2370m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.3045  loss_TTT: 0.0355  acc: 0.6178  lr: 0.0000 
ep/it:226- 241 niter: 86800  421m 47s (- 2369m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.2760  loss_TTT: 0.0369  acc: 0.6247  lr: 0.0000 
ep/it:226- 291 niter: 86850  422m 2s (- 2369m 41s) completed: 15%) loss_emb: 0.0000  loss: 1.3002  loss_TTT: 0.0351  acc: 0.6182  lr: 0.0000 
ep/it:226- 341 niter: 86900  422m 17s (- 2369m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.3139  loss_TTT: 0.0370  acc: 0.6149  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.593
ep/it:227-   8 niter: 86950  422m 35s (- 2369m 33s) completed: 15%) loss_emb: 0.0000  loss: 1.3017  loss_TTT: 0.0359  acc: 0.6175  lr: 0.0000 
ep/it:227-  58 niter: 87000  422m 49s (- 2369m 17s) completed: 15%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0358  acc: 0.6213  lr: 0.0000 
ep/it:227- 108 niter: 87050  423m 4s (- 2369m 5s) completed: 15%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0352  acc: 0.6286  lr: 0.0000 
ep/it:227- 158 niter: 87100  423m 18s (- 2368m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.2947  loss_TTT: 0.0358  acc: 0.6199  lr: 0.0000 
ep/it:227- 208 niter: 87150  423m 33s (- 2368m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0354  acc: 0.6254  lr: 0.0000 
ep/it:227- 258 niter: 87200  423m 47s (- 2368m 15s) completed: 15%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0342  acc: 0.6227  lr: 0.0000 
ep/it:227- 308 niter: 87250  424m 1s (- 2367m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2814  loss_TTT: 0.0355  acc: 0.6233  lr: 0.0000 
ep/it:227- 358 niter: 87300  424m 15s (- 2367m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.2997  loss_TTT: 0.0357  acc: 0.6191  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.601
ep/it:228-  25 niter: 87350  424m 34s (- 2367m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0362  acc: 0.6271  lr: 0.0000 
ep/it:228-  75 niter: 87400  424m 48s (- 2367m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.2936  loss_TTT: 0.0358  acc: 0.6205  lr: 0.0000 
ep/it:228- 125 niter: 87450  425m 2s (- 2367m 17s) completed: 15%) loss_emb: 0.0000  loss: 1.2987  loss_TTT: 0.0377  acc: 0.6193  lr: 0.0000 
ep/it:228- 175 niter: 87500  425m 17s (- 2367m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.3093  loss_TTT: 0.0367  acc: 0.6152  lr: 0.0000 
ep/it:228- 225 niter: 87550  425m 32s (- 2366m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.2962  loss_TTT: 0.0364  acc: 0.6207  lr: 0.0000 
ep/it:228- 275 niter: 87600  425m 47s (- 2366m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.3040  loss_TTT: 0.0349  acc: 0.6162  lr: 0.0000 
ep/it:228- 325 niter: 87650  426m 2s (- 2366m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0355  acc: 0.6241  lr: 0.0000 
ep/it:228- 375 niter: 87700  426m 16s (- 2366m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0350  acc: 0.6243  lr: 0.0000 
Validation time:
Validation loss:1.470, accuracy:0.589
ep/it:229-  42 niter: 87750  426m 33s (- 2366m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.2715  loss_TTT: 0.0357  acc: 0.6248  lr: 0.0000 
ep/it:229-  92 niter: 87800  426m 47s (- 2365m 51s) completed: 15%) loss_emb: 0.0000  loss: 1.3278  loss_TTT: 0.0366  acc: 0.6120  lr: 0.0000 
ep/it:229- 142 niter: 87850  427m 3s (- 2365m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.3145  loss_TTT: 0.0342  acc: 0.6141  lr: 0.0000 
ep/it:229- 192 niter: 87900  427m 17s (- 2365m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0350  acc: 0.6218  lr: 0.0000 
ep/it:229- 242 niter: 87950  427m 32s (- 2365m 14s) completed: 15%) loss_emb: 0.0000  loss: 1.3205  loss_TTT: 0.0370  acc: 0.6129  lr: 0.0000 
ep/it:229- 292 niter: 88000  427m 47s (- 2365m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0379  acc: 0.6236  lr: 0.0000 
ep/it:229- 342 niter: 88050  428m 2s (- 2364m 47s) completed: 15%) loss_emb: 0.0000  loss: 1.2902  loss_TTT: 0.0365  acc: 0.6212  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.99it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.33it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.69it/s]
100%|██████████| 47/47 [00:05<00:00,  7.91it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.458480187691748 avg: 2.458480187691748
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4535426278598607 avg: 2.4560114077758044
--> 	 Eva. Repeat 22 :, FID. 0.1106, Diversity Real. 9.4817, Diversity. 9.9382, R_precision_real. [0.52050781 0.70605469 0.79101562], R_precision. [0.49707031 0.69140625 0.77734375], matching_score_real. 2.9480, matching_score_pred. 3.0591, skate_ratio. 0.0442, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5234 (traj_fail_50cm (Traj err)): 0.3086 (kps_fail_20cm): 0.3735 (kps_fail_50cm (Loc. err)): 0.2037 (kps_mean_err(m) (Avg. err)): 0.3782 
ep/it:230-   9 niter: 88100  428m 26s (- 2365m 25s) completed: 15%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0365  acc: 0.6242  lr: 0.0000 
ep/it:230-  59 niter: 88150  428m 40s (- 2365m 9s) completed: 15%) loss_emb: 0.0000  loss: 1.3034  loss_TTT: 0.0373  acc: 0.6181  lr: 0.0000 
ep/it:230- 109 niter: 88200  428m 55s (- 2364m 57s) completed: 15%) loss_emb: 0.0000  loss: 1.3236  loss_TTT: 0.0374  acc: 0.6128  lr: 0.0000 
ep/it:230- 159 niter: 88250  429m 10s (- 2364m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.2934  loss_TTT: 0.0356  acc: 0.6195  lr: 0.0000 
ep/it:230- 209 niter: 88300  429m 24s (- 2364m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.3086  loss_TTT: 0.0364  acc: 0.6157  lr: 0.0000 
ep/it:230- 259 niter: 88350  429m 39s (- 2364m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0360  acc: 0.6205  lr: 0.0000 
ep/it:230- 309 niter: 88400  429m 53s (- 2363m 53s) completed: 15%) loss_emb: 0.0000  loss: 1.2903  loss_TTT: 0.0350  acc: 0.6203  lr: 0.0000 
ep/it:230- 359 niter: 88450  430m 7s (- 2363m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0355  acc: 0.6253  lr: 0.0000 
Validation time:
Validation loss:1.467, accuracy:0.590
ep/it:231-  26 niter: 88500  430m 24s (- 2363m 37s) completed: 15%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0369  acc: 0.6228  lr: 0.0000 
ep/it:231-  76 niter: 88550  430m 39s (- 2363m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0362  acc: 0.6216  lr: 0.0000 
ep/it:231- 126 niter: 88600  430m 54s (- 2363m 9s) completed: 15%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0359  acc: 0.6204  lr: 0.0000 
ep/it:231- 176 niter: 88650  431m 8s (- 2362m 53s) completed: 15%) loss_emb: 0.0000  loss: 1.2896  loss_TTT: 0.0374  acc: 0.6208  lr: 0.0000 
ep/it:231- 226 niter: 88700  431m 22s (- 2362m 37s) completed: 15%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0350  acc: 0.6230  lr: 0.0000 
ep/it:231- 276 niter: 88750  431m 36s (- 2362m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.2937  loss_TTT: 0.0370  acc: 0.6215  lr: 0.0000 
ep/it:231- 326 niter: 88800  431m 51s (- 2362m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.3039  loss_TTT: 0.0365  acc: 0.6174  lr: 0.0000 
ep/it:231- 376 niter: 88850  432m 5s (- 2361m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.2871  loss_TTT: 0.0359  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.447, accuracy:0.595
ep/it:232-  43 niter: 88900  432m 22s (- 2361m 44s) completed: 15%) loss_emb: 0.0000  loss: 1.2901  loss_TTT: 0.0356  acc: 0.6214  lr: 0.0000 
ep/it:232-  93 niter: 88950  432m 36s (- 2361m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.2621  loss_TTT: 0.0341  acc: 0.6278  lr: 0.0000 
ep/it:232- 143 niter: 89000  432m 50s (- 2361m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.2732  loss_TTT: 0.0367  acc: 0.6256  lr: 0.0000 
ep/it:232- 193 niter: 89050  433m 5s (- 2360m 57s) completed: 15%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0339  acc: 0.6216  lr: 0.0000 
ep/it:232- 243 niter: 89100  433m 19s (- 2360m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.3031  loss_TTT: 0.0362  acc: 0.6161  lr: 0.0000 
ep/it:232- 293 niter: 89150  433m 33s (- 2360m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.3062  loss_TTT: 0.0361  acc: 0.6172  lr: 0.0000 
ep/it:232- 343 niter: 89200  433m 47s (- 2360m 5s) completed: 15%) loss_emb: 0.0000  loss: 1.2862  loss_TTT: 0.0386  acc: 0.6230  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.593
ep/it:233-  10 niter: 89250  434m 4s (- 2360m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0387  acc: 0.6207  lr: 0.0000 
ep/it:233-  60 niter: 89300  434m 18s (- 2359m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0366  acc: 0.6202  lr: 0.0000 
ep/it:233- 110 niter: 89350  434m 32s (- 2359m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0363  acc: 0.6151  lr: 0.0000 
ep/it:233- 160 niter: 89400  434m 46s (- 2359m 8s) completed: 15%) loss_emb: 0.0000  loss: 1.2767  loss_TTT: 0.0361  acc: 0.6244  lr: 0.0000 
ep/it:233- 210 niter: 89450  435m 0s (- 2358m 52s) completed: 15%) loss_emb: 0.0000  loss: 1.2924  loss_TTT: 0.0352  acc: 0.6213  lr: 0.0000 
ep/it:233- 260 niter: 89500  435m 14s (- 2358m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0352  acc: 0.6223  lr: 0.0000 
ep/it:233- 310 niter: 89550  435m 29s (- 2358m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.3058  loss_TTT: 0.0375  acc: 0.6167  lr: 0.0000 
ep/it:233- 360 niter: 89600  435m 43s (- 2358m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0359  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.590
ep/it:234-  27 niter: 89650  436m 0s (- 2358m 1s) completed: 15%) loss_emb: 0.0000  loss: 1.3154  loss_TTT: 0.0373  acc: 0.6138  lr: 0.0000 
ep/it:234-  77 niter: 89700  436m 14s (- 2357m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.3007  loss_TTT: 0.0377  acc: 0.6183  lr: 0.0000 
ep/it:234- 127 niter: 89750  436m 29s (- 2357m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.3022  loss_TTT: 0.0350  acc: 0.6183  lr: 0.0000 
ep/it:234- 177 niter: 89800  436m 44s (- 2357m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.2968  loss_TTT: 0.0365  acc: 0.6191  lr: 0.0000 
ep/it:234- 227 niter: 89850  436m 58s (- 2357m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.3035  loss_TTT: 0.0343  acc: 0.6170  lr: 0.0000 
ep/it:234- 277 niter: 89900  437m 13s (- 2356m 48s) completed: 15%) loss_emb: 0.0000  loss: 1.3098  loss_TTT: 0.0372  acc: 0.6164  lr: 0.0000 
ep/it:234- 327 niter: 89950  437m 28s (- 2356m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.3044  loss_TTT: 0.0345  acc: 0.6173  lr: 0.0000 
ep/it:234- 377 niter: 90000  437m 42s (- 2356m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.3225  loss_TTT: 0.0369  acc: 0.6138  lr: 0.0000 
Validation time:
Validation loss:1.472, accuracy:0.590
ep/it:235-  44 niter: 90050  438m 0s (- 2356m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.2875  loss_TTT: 0.0360  acc: 0.6222  lr: 0.0000 
ep/it:235-  94 niter: 90100  438m 15s (- 2356m 9s) completed: 15%) loss_emb: 0.0000  loss: 1.2891  loss_TTT: 0.0356  acc: 0.6203  lr: 0.0000 
ep/it:235- 144 niter: 90150  438m 29s (- 2355m 53s) completed: 15%) loss_emb: 0.0000  loss: 1.3092  loss_TTT: 0.0360  acc: 0.6154  lr: 0.0000 
ep/it:235- 194 niter: 90200  438m 43s (- 2355m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.2854  loss_TTT: 0.0343  acc: 0.6220  lr: 0.0000 
ep/it:235- 244 niter: 90250  438m 58s (- 2355m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0363  acc: 0.6224  lr: 0.0000 
ep/it:235- 294 niter: 90300  439m 13s (- 2355m 8s) completed: 15%) loss_emb: 0.0000  loss: 1.3003  loss_TTT: 0.0372  acc: 0.6179  lr: 0.0000 
ep/it:235- 344 niter: 90350  439m 28s (- 2354m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.3131  loss_TTT: 0.0364  acc: 0.6139  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593
ep/it:236-  11 niter: 90400  439m 45s (- 2354m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0360  acc: 0.6259  lr: 0.0000 
ep/it:236-  61 niter: 90450  439m 59s (- 2354m 37s) completed: 15%) loss_emb: 0.0000  loss: 1.3330  loss_TTT: 0.0362  acc: 0.6094  lr: 0.0000 
ep/it:236- 111 niter: 90500  440m 14s (- 2354m 24s) completed: 15%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0351  acc: 0.6276  lr: 0.0000 
ep/it:236- 161 niter: 90550  440m 29s (- 2354m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0378  acc: 0.6269  lr: 0.0000 
ep/it:236- 211 niter: 90600  440m 43s (- 2353m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2891  loss_TTT: 0.0350  acc: 0.6216  lr: 0.0000 
ep/it:236- 261 niter: 90650  440m 58s (- 2353m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.3000  loss_TTT: 0.0357  acc: 0.6184  lr: 0.0000 
ep/it:236- 311 niter: 90700  441m 13s (- 2353m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0354  acc: 0.6186  lr: 0.0000 
ep/it:236- 361 niter: 90750  441m 27s (- 2353m 15s) completed: 15%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0366  acc: 0.6201  lr: 0.0000 
Validation time:
Validation loss:1.473, accuracy:0.588
ep/it:237-  28 niter: 90800  441m 44s (- 2353m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.3055  loss_TTT: 0.0371  acc: 0.6156  lr: 0.0000 
ep/it:237-  78 niter: 90850  441m 58s (- 2352m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.3176  loss_TTT: 0.0357  acc: 0.6127  lr: 0.0000 
ep/it:237- 128 niter: 90900  442m 13s (- 2352m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.2970  loss_TTT: 0.0362  acc: 0.6195  lr: 0.0000 
ep/it:237- 178 niter: 90950  442m 27s (- 2352m 25s) completed: 15%) loss_emb: 0.0000  loss: 1.2940  loss_TTT: 0.0344  acc: 0.6200  lr: 0.0000 
ep/it:237- 228 niter: 91000  442m 42s (- 2352m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.2968  loss_TTT: 0.0358  acc: 0.6194  lr: 0.0000 
ep/it:237- 278 niter: 91050  442m 57s (- 2351m 57s) completed: 15%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0364  acc: 0.6204  lr: 0.0000 
ep/it:237- 328 niter: 91100  443m 11s (- 2351m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0369  acc: 0.6211  lr: 0.0000 
ep/it:237- 378 niter: 91150  443m 26s (- 2351m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.2801  loss_TTT: 0.0360  acc: 0.6230  lr: 0.0000 
Validation time:
Validation loss:1.472, accuracy:0.587
ep/it:238-  45 niter: 91200  443m 43s (- 2351m 27s) completed: 15%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0362  acc: 0.6220  lr: 0.0000 
ep/it:238-  95 niter: 91250  443m 57s (- 2351m 8s) completed: 15%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0373  acc: 0.6210  lr: 0.0000 
ep/it:238- 145 niter: 91300  444m 11s (- 2350m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.3043  loss_TTT: 0.0353  acc: 0.6175  lr: 0.0000 
ep/it:238- 195 niter: 91350  444m 26s (- 2350m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.2903  loss_TTT: 0.0348  acc: 0.6207  lr: 0.0000 
ep/it:238- 245 niter: 91400  444m 41s (- 2350m 25s) completed: 15%) loss_emb: 0.0000  loss: 1.2898  loss_TTT: 0.0327  acc: 0.6201  lr: 0.0000 
ep/it:238- 295 niter: 91450  444m 56s (- 2350m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0348  acc: 0.6219  lr: 0.0000 
ep/it:238- 345 niter: 91500  445m 10s (- 2349m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2901  loss_TTT: 0.0367  acc: 0.6209  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.598
ep/it:239-  12 niter: 91550  445m 28s (- 2349m 57s) completed: 15%) loss_emb: 0.0000  loss: 1.2789  loss_TTT: 0.0367  acc: 0.6234  lr: 0.0000 
ep/it:239-  62 niter: 91600  445m 42s (- 2349m 41s) completed: 15%) loss_emb: 0.0000  loss: 1.2805  loss_TTT: 0.0359  acc: 0.6246  lr: 0.0000 
ep/it:239- 112 niter: 91650  445m 56s (- 2349m 25s) completed: 15%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0369  acc: 0.6213  lr: 0.0000 
ep/it:239- 162 niter: 91700  446m 11s (- 2349m 9s) completed: 15%) loss_emb: 0.0000  loss: 1.2998  loss_TTT: 0.0350  acc: 0.6187  lr: 0.0000 
ep/it:239- 212 niter: 91750  446m 25s (- 2348m 54s) completed: 15%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0372  acc: 0.6250  lr: 0.0000 
ep/it:239- 262 niter: 91800  446m 40s (- 2348m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0369  acc: 0.6225  lr: 0.0000 
ep/it:239- 312 niter: 91850  446m 54s (- 2348m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0339  acc: 0.6274  lr: 0.0000 
ep/it:239- 362 niter: 91900  447m 8s (- 2348m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0355  acc: 0.6240  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.596

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.81it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.31it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.63it/s]
100%|██████████| 47/47 [00:05<00:00,  7.85it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4556064307689667 avg: 2.4556064307689667
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5084175560623407 avg: 2.4820119934156537
--> 	 Eva. Repeat 22 :, FID. 0.1334, Diversity Real. 9.4924, Diversity. 9.6584, R_precision_real. [0.49414062 0.6953125  0.79101562], R_precision. [0.50390625 0.68554688 0.77929688], matching_score_real. 2.9636, matching_score_pred. 2.9977, skate_ratio. 0.0461, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4951 (traj_fail_50cm (Traj err)): 0.2959 (kps_fail_20cm): 0.3683 (kps_fail_50cm (Loc. err)): 0.1982 (kps_mean_err(m) (Avg. err)): 0.3385 
ep/it:240-  29 niter: 91950  447m 32s (- 2348m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.2858  loss_TTT: 0.0357  acc: 0.6225  lr: 0.0000 
ep/it:240-  79 niter: 92000  447m 47s (- 2348m 26s) completed: 16%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0382  acc: 0.6246  lr: 0.0000 
ep/it:240- 129 niter: 92050  448m 2s (- 2348m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.2947  loss_TTT: 0.0377  acc: 0.6202  lr: 0.0000 
ep/it:240- 179 niter: 92100  448m 16s (- 2347m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.3052  loss_TTT: 0.0363  acc: 0.6178  lr: 0.0000 
ep/it:240- 229 niter: 92150  448m 30s (- 2347m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0367  acc: 0.6208  lr: 0.0000 
ep/it:240- 279 niter: 92200  448m 45s (- 2347m 25s) completed: 16%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0365  acc: 0.6280  lr: 0.0000 
ep/it:240- 329 niter: 92250  448m 59s (- 2347m 9s) completed: 16%) loss_emb: 0.0000  loss: 1.3200  loss_TTT: 0.0356  acc: 0.6124  lr: 0.0000 
ep/it:240- 379 niter: 92300  449m 13s (- 2346m 49s) completed: 16%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0350  acc: 0.6220  lr: 0.0000 
Validation time:
Validation loss:1.482, accuracy:0.586
ep/it:241-  46 niter: 92350  449m 30s (- 2346m 49s) completed: 16%) loss_emb: 0.0000  loss: 1.3140  loss_TTT: 0.0353  acc: 0.6152  lr: 0.0000 
ep/it:241-  96 niter: 92400  449m 45s (- 2346m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0367  acc: 0.6264  lr: 0.0000 
ep/it:241- 146 niter: 92450  450m 0s (- 2346m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.2728  loss_TTT: 0.0353  acc: 0.6265  lr: 0.0000 
ep/it:241- 196 niter: 92500  450m 14s (- 2346m 6s) completed: 16%) loss_emb: 0.0000  loss: 1.2987  loss_TTT: 0.0350  acc: 0.6192  lr: 0.0000 
ep/it:241- 246 niter: 92550  450m 29s (- 2345m 54s) completed: 16%) loss_emb: 0.0000  loss: 1.2880  loss_TTT: 0.0384  acc: 0.6209  lr: 0.0000 
ep/it:241- 296 niter: 92600  450m 44s (- 2345m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.2941  loss_TTT: 0.0365  acc: 0.6198  lr: 0.0000 
ep/it:241- 346 niter: 92650  450m 58s (- 2345m 25s) completed: 16%) loss_emb: 0.0000  loss: 1.3023  loss_TTT: 0.0372  acc: 0.6183  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.596
ep/it:242-  13 niter: 92700  451m 15s (- 2345m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0343  acc: 0.6215  lr: 0.0000 
ep/it:242-  63 niter: 92750  451m 30s (- 2345m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.2864  loss_TTT: 0.0369  acc: 0.6220  lr: 0.0000 
ep/it:242- 113 niter: 92800  451m 45s (- 2344m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.2856  loss_TTT: 0.0359  acc: 0.6224  lr: 0.0000 
ep/it:242- 163 niter: 92850  451m 59s (- 2344m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.2874  loss_TTT: 0.0363  acc: 0.6207  lr: 0.0000 
ep/it:242- 213 niter: 92900  452m 14s (- 2344m 27s) completed: 16%) loss_emb: 0.0000  loss: 1.2981  loss_TTT: 0.0369  acc: 0.6195  lr: 0.0000 
ep/it:242- 263 niter: 92950  452m 28s (- 2344m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0350  acc: 0.6226  lr: 0.0000 
ep/it:242- 313 niter: 93000  452m 43s (- 2343m 56s) completed: 16%) loss_emb: 0.0000  loss: 1.2925  loss_TTT: 0.0375  acc: 0.6198  lr: 0.0000 
ep/it:242- 363 niter: 93050  452m 58s (- 2343m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.3127  loss_TTT: 0.0360  acc: 0.6149  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.590
ep/it:243-  30 niter: 93100  453m 16s (- 2343m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.2700  loss_TTT: 0.0345  acc: 0.6274  lr: 0.0000 
ep/it:243-  80 niter: 93150  453m 29s (- 2343m 26s) completed: 16%) loss_emb: 0.0000  loss: 1.2917  loss_TTT: 0.0370  acc: 0.6201  lr: 0.0000 
ep/it:243- 130 niter: 93200  453m 43s (- 2343m 9s) completed: 16%) loss_emb: 0.0000  loss: 1.2966  loss_TTT: 0.0354  acc: 0.6189  lr: 0.0000 
ep/it:243- 180 niter: 93250  453m 58s (- 2342m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.3065  loss_TTT: 0.0364  acc: 0.6153  lr: 0.0000 
ep/it:243- 230 niter: 93300  454m 11s (- 2342m 33s) completed: 16%) loss_emb: 0.0000  loss: 1.2945  loss_TTT: 0.0363  acc: 0.6194  lr: 0.0000 
ep/it:243- 280 niter: 93350  454m 26s (- 2342m 19s) completed: 16%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0359  acc: 0.6282  lr: 0.0000 
ep/it:243- 330 niter: 93400  454m 40s (- 2342m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.2998  loss_TTT: 0.0353  acc: 0.6188  lr: 0.0000 
ep/it:243- 380 niter: 93450  454m 54s (- 2341m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0364  acc: 0.6202  lr: 0.0000 
Validation time:
Validation loss:1.494, accuracy:0.581
ep/it:244-  47 niter: 93500  455m 12s (- 2341m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.2959  loss_TTT: 0.0364  acc: 0.6203  lr: 0.0000 
ep/it:244-  97 niter: 93550  455m 28s (- 2341m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0363  acc: 0.6149  lr: 0.0000 
ep/it:244- 147 niter: 93600  455m 41s (- 2341m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0343  acc: 0.6253  lr: 0.0000 
ep/it:244- 197 niter: 93650  455m 56s (- 2341m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.3106  loss_TTT: 0.0350  acc: 0.6154  lr: 0.0000 
ep/it:244- 247 niter: 93700  456m 11s (- 2340m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.3157  loss_TTT: 0.0354  acc: 0.6137  lr: 0.0000 
ep/it:244- 297 niter: 93750  456m 25s (- 2340m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0383  acc: 0.6245  lr: 0.0000 
ep/it:244- 347 niter: 93800  456m 40s (- 2340m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0353  acc: 0.6261  lr: 0.0000 
Validation time:
Validation loss:1.482, accuracy:0.585
ep/it:245-  14 niter: 93850  456m 58s (- 2340m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0347  acc: 0.6278  lr: 0.0000 
ep/it:245-  64 niter: 93900  457m 13s (- 2340m 9s) completed: 16%) loss_emb: 0.0000  loss: 1.2948  loss_TTT: 0.0367  acc: 0.6190  lr: 0.0000 
ep/it:245- 114 niter: 93950  457m 28s (- 2339m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0364  acc: 0.6278  lr: 0.0000 
ep/it:245- 164 niter: 94000  457m 43s (- 2339m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0346  acc: 0.6171  lr: 0.0000 
ep/it:245- 214 niter: 94050  457m 58s (- 2339m 31s) completed: 16%) loss_emb: 0.0000  loss: 1.2885  loss_TTT: 0.0364  acc: 0.6211  lr: 0.0000 
ep/it:245- 264 niter: 94100  458m 13s (- 2339m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.2679  loss_TTT: 0.0364  acc: 0.6266  lr: 0.0000 
ep/it:245- 314 niter: 94150  458m 27s (- 2339m 4s) completed: 16%) loss_emb: 0.0000  loss: 1.2968  loss_TTT: 0.0342  acc: 0.6192  lr: 0.0000 
ep/it:245- 364 niter: 94200  458m 42s (- 2338m 47s) completed: 16%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0357  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.447, accuracy:0.596
ep/it:246-  31 niter: 94250  458m 59s (- 2338m 48s) completed: 16%) loss_emb: 0.0000  loss: 1.2981  loss_TTT: 0.0352  acc: 0.6183  lr: 0.0000 
ep/it:246-  81 niter: 94300  459m 14s (- 2338m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.2875  loss_TTT: 0.0345  acc: 0.6217  lr: 0.0000 
ep/it:246- 131 niter: 94350  459m 29s (- 2338m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.2922  loss_TTT: 0.0364  acc: 0.6205  lr: 0.0000 
ep/it:246- 181 niter: 94400  459m 43s (- 2338m 5s) completed: 16%) loss_emb: 0.0000  loss: 1.3046  loss_TTT: 0.0356  acc: 0.6178  lr: 0.0000 
ep/it:246- 231 niter: 94450  459m 58s (- 2337m 49s) completed: 16%) loss_emb: 0.0000  loss: 1.3218  loss_TTT: 0.0359  acc: 0.6113  lr: 0.0000 
ep/it:246- 281 niter: 94500  460m 12s (- 2337m 34s) completed: 16%) loss_emb: 0.0000  loss: 1.3088  loss_TTT: 0.0356  acc: 0.6148  lr: 0.0000 
ep/it:246- 331 niter: 94550  460m 27s (- 2337m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.2804  loss_TTT: 0.0357  acc: 0.6243  lr: 0.0000 
ep/it:246- 381 niter: 94600  460m 41s (- 2337m 5s) completed: 16%) loss_emb: 0.0000  loss: 1.2873  loss_TTT: 0.0356  acc: 0.6226  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.596
ep/it:247-  48 niter: 94650  460m 59s (- 2337m 6s) completed: 16%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0347  acc: 0.6209  lr: 0.0000 
ep/it:247-  98 niter: 94700  461m 13s (- 2336m 50s) completed: 16%) loss_emb: 0.0000  loss: 1.3161  loss_TTT: 0.0378  acc: 0.6135  lr: 0.0000 
ep/it:247- 148 niter: 94750  461m 28s (- 2336m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0360  acc: 0.6228  lr: 0.0000 
ep/it:247- 198 niter: 94800  461m 43s (- 2336m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.2724  loss_TTT: 0.0345  acc: 0.6256  lr: 0.0000 
ep/it:247- 248 niter: 94850  461m 58s (- 2336m 8s) completed: 16%) loss_emb: 0.0000  loss: 1.2948  loss_TTT: 0.0364  acc: 0.6197  lr: 0.0000 
ep/it:247- 298 niter: 94900  462m 12s (- 2335m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0339  acc: 0.6180  lr: 0.0000 
ep/it:247- 348 niter: 94950  462m 26s (- 2335m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.3102  loss_TTT: 0.0362  acc: 0.6151  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.597
ep/it:248-  15 niter: 95000  462m 42s (- 2335m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.3037  loss_TTT: 0.0363  acc: 0.6171  lr: 0.0000 
ep/it:248-  65 niter: 95050  462m 58s (- 2335m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0353  acc: 0.6269  lr: 0.0000 
ep/it:248- 115 niter: 95100  463m 12s (- 2335m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.2814  loss_TTT: 0.0340  acc: 0.6215  lr: 0.0000 
ep/it:248- 165 niter: 95150  463m 26s (- 2334m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.3105  loss_TTT: 0.0353  acc: 0.6153  lr: 0.0000 
ep/it:248- 215 niter: 95200  463m 40s (- 2334m 24s) completed: 16%) loss_emb: 0.0000  loss: 1.3068  loss_TTT: 0.0355  acc: 0.6172  lr: 0.0000 
ep/it:248- 265 niter: 95250  463m 54s (- 2334m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0367  acc: 0.6238  lr: 0.0000 
ep/it:248- 315 niter: 95300  464m 8s (- 2333m 49s) completed: 16%) loss_emb: 0.0000  loss: 1.3103  loss_TTT: 0.0361  acc: 0.6154  lr: 0.0000 
ep/it:248- 365 niter: 95350  464m 21s (- 2333m 31s) completed: 16%) loss_emb: 0.0000  loss: 1.2962  loss_TTT: 0.0355  acc: 0.6203  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.600
ep/it:249-  32 niter: 95400  464m 38s (- 2333m 26s) completed: 16%) loss_emb: 0.0000  loss: 1.2862  loss_TTT: 0.0368  acc: 0.6219  lr: 0.0000 
ep/it:249-  82 niter: 95450  464m 52s (- 2333m 8s) completed: 16%) loss_emb: 0.0000  loss: 1.3173  loss_TTT: 0.0355  acc: 0.6131  lr: 0.0000 
ep/it:249- 132 niter: 95500  465m 6s (- 2332m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0361  acc: 0.6254  lr: 0.0000 
ep/it:249- 182 niter: 95550  465m 21s (- 2332m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0353  acc: 0.6231  lr: 0.0000 
ep/it:249- 232 niter: 95600  465m 36s (- 2332m 26s) completed: 16%) loss_emb: 0.0000  loss: 1.3136  loss_TTT: 0.0367  acc: 0.6147  lr: 0.0000 
ep/it:249- 282 niter: 95650  465m 50s (- 2332m 8s) completed: 16%) loss_emb: 0.0000  loss: 1.2817  loss_TTT: 0.0367  acc: 0.6230  lr: 0.0000 
ep/it:249- 332 niter: 95700  466m 5s (- 2331m 53s) completed: 16%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0364  acc: 0.6227  lr: 0.0000 
ep/it:249- 382 niter: 95750  466m 19s (- 2331m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0362  acc: 0.6228  lr: 0.0000 
Validation time:
Validation loss:1.473, accuracy:0.588

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.97it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.18it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.51it/s]
100%|██████████| 47/47 [00:06<00:00,  7.69it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4556695129722357 avg: 2.4556695129722357
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4612650582566857 avg: 2.4584672856144607
--> 	 Eva. Repeat 22 :, FID. 0.1355, Diversity Real. 9.8188, Diversity. 10.0414, R_precision_real. [0.50585938 0.68847656 0.79492188], R_precision. [0.50585938 0.69238281 0.78808594], matching_score_real. 2.9055, matching_score_pred. 3.0178, skate_ratio. 0.0453, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5156 (traj_fail_50cm (Traj err)): 0.3135 (kps_fail_20cm): 0.3653 (kps_fail_50cm (Loc. err)): 0.2157 (kps_mean_err(m) (Avg. err)): 0.3713 
ep/it:250-  49 niter: 95800  466m 44s (- 2332m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0363  acc: 0.6212  lr: 0.0000 
ep/it:250-  99 niter: 95850  466m 59s (- 2332m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0363  acc: 0.6214  lr: 0.0000 
ep/it:250- 149 niter: 95900  467m 13s (- 2331m 46s) completed: 16%) loss_emb: 0.0000  loss: 1.3204  loss_TTT: 0.0371  acc: 0.6124  lr: 0.0000 
ep/it:250- 199 niter: 95950  467m 27s (- 2331m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0355  acc: 0.6215  lr: 0.0000 
ep/it:250- 249 niter: 96000  467m 42s (- 2331m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.3115  loss_TTT: 0.0363  acc: 0.6144  lr: 0.0000 
ep/it:250- 299 niter: 96050  467m 56s (- 2330m 56s) completed: 16%) loss_emb: 0.0000  loss: 1.2735  loss_TTT: 0.0350  acc: 0.6246  lr: 0.0000 
ep/it:250- 349 niter: 96100  468m 10s (- 2330m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0397  acc: 0.6238  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.606
Improved accuracy from 0.60 to 0.606069222740505!!!
ep/it:251-  16 niter: 96150  468m 27s (- 2330m 38s) completed: 16%) loss_emb: 0.0000  loss: 1.2956  loss_TTT: 0.0339  acc: 0.6194  lr: 0.0000 
ep/it:251-  66 niter: 96200  468m 41s (- 2330m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.3032  loss_TTT: 0.0368  acc: 0.6171  lr: 0.0000 
ep/it:251- 116 niter: 96250  468m 55s (- 2330m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0358  acc: 0.6268  lr: 0.0000 
ep/it:251- 166 niter: 96300  469m 9s (- 2329m 44s) completed: 16%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0371  acc: 0.6151  lr: 0.0000 
ep/it:251- 216 niter: 96350  469m 24s (- 2329m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0352  acc: 0.6229  lr: 0.0000 
ep/it:251- 266 niter: 96400  469m 38s (- 2329m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.3089  loss_TTT: 0.0362  acc: 0.6154  lr: 0.0000 
ep/it:251- 316 niter: 96450  469m 52s (- 2328m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0361  acc: 0.6304  lr: 0.0000 
ep/it:251- 366 niter: 96500  470m 7s (- 2328m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.2708  loss_TTT: 0.0350  acc: 0.6260  lr: 0.0000 
Validation time:
Validation loss:1.494, accuracy:0.583
ep/it:252-  33 niter: 96550  470m 24s (- 2328m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0365  acc: 0.6200  lr: 0.0000 
ep/it:252-  83 niter: 96600  470m 39s (- 2328m 24s) completed: 16%) loss_emb: 0.0000  loss: 1.3010  loss_TTT: 0.0350  acc: 0.6178  lr: 0.0000 
ep/it:252- 133 niter: 96650  470m 54s (- 2328m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0356  acc: 0.6219  lr: 0.0000 
ep/it:252- 183 niter: 96700  471m 8s (- 2327m 57s) completed: 16%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0356  acc: 0.6210  lr: 0.0000 
ep/it:252- 233 niter: 96750  471m 23s (- 2327m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0359  acc: 0.6251  lr: 0.0000 
ep/it:252- 283 niter: 96800  471m 37s (- 2327m 27s) completed: 16%) loss_emb: 0.0000  loss: 1.2928  loss_TTT: 0.0356  acc: 0.6197  lr: 0.0000 
ep/it:252- 333 niter: 96850  471m 52s (- 2327m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0362  acc: 0.6214  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.598
ep/it:253-   0 niter: 96900  472m 9s (- 2327m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0364  acc: 0.6234  lr: 0.0000 
ep/it:253-  50 niter: 96950  472m 24s (- 2326m 56s) completed: 16%) loss_emb: 0.0000  loss: 1.2963  loss_TTT: 0.0349  acc: 0.6194  lr: 0.0000 
ep/it:253- 100 niter: 97000  472m 38s (- 2326m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.2853  loss_TTT: 0.0351  acc: 0.6216  lr: 0.0000 
ep/it:253- 150 niter: 97050  472m 53s (- 2326m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.2950  loss_TTT: 0.0354  acc: 0.6195  lr: 0.0000 
ep/it:253- 200 niter: 97100  473m 8s (- 2326m 12s) completed: 16%) loss_emb: 0.0000  loss: 1.2951  loss_TTT: 0.0357  acc: 0.6183  lr: 0.0000 
ep/it:253- 250 niter: 97150  473m 22s (- 2325m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.3245  loss_TTT: 0.0354  acc: 0.6122  lr: 0.0000 
ep/it:253- 300 niter: 97200  473m 37s (- 2325m 43s) completed: 16%) loss_emb: 0.0000  loss: 1.2940  loss_TTT: 0.0370  acc: 0.6189  lr: 0.0000 
ep/it:253- 350 niter: 97250  473m 52s (- 2325m 29s) completed: 16%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0357  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.600
ep/it:254-  17 niter: 97300  474m 9s (- 2325m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0339  acc: 0.6230  lr: 0.0000 
ep/it:254-  67 niter: 97350  474m 23s (- 2325m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0347  acc: 0.6227  lr: 0.0000 
ep/it:254- 117 niter: 97400  474m 37s (- 2324m 54s) completed: 16%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0350  acc: 0.6224  lr: 0.0000 
ep/it:254- 167 niter: 97450  474m 52s (- 2324m 38s) completed: 16%) loss_emb: 0.0000  loss: 1.3200  loss_TTT: 0.0351  acc: 0.6138  lr: 0.0000 
ep/it:254- 217 niter: 97500  475m 6s (- 2324m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.2897  loss_TTT: 0.0356  acc: 0.6222  lr: 0.0000 
ep/it:254- 267 niter: 97550  475m 22s (- 2324m 13s) completed: 16%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0339  acc: 0.6251  lr: 0.0000 
ep/it:254- 317 niter: 97600  475m 37s (- 2324m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.2629  loss_TTT: 0.0358  acc: 0.6276  lr: 0.0000 
ep/it:254- 367 niter: 97650  475m 52s (- 2323m 48s) completed: 16%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0364  acc: 0.6294  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.594
ep/it:255-  34 niter: 97700  476m 9s (- 2323m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0347  acc: 0.6217  lr: 0.0000 
ep/it:255-  84 niter: 97750  476m 25s (- 2323m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.3096  loss_TTT: 0.0352  acc: 0.6151  lr: 0.0000 
ep/it:255- 134 niter: 97800  476m 39s (- 2323m 22s) completed: 17%) loss_emb: 0.0000  loss: 1.2989  loss_TTT: 0.0341  acc: 0.6181  lr: 0.0000 
ep/it:255- 184 niter: 97850  476m 54s (- 2323m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.3067  loss_TTT: 0.0359  acc: 0.6178  lr: 0.0000 
ep/it:255- 234 niter: 97900  477m 9s (- 2322m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.2925  loss_TTT: 0.0371  acc: 0.6201  lr: 0.0000 
ep/it:255- 284 niter: 97950  477m 23s (- 2322m 37s) completed: 17%) loss_emb: 0.0000  loss: 1.2842  loss_TTT: 0.0347  acc: 0.6231  lr: 0.0000 
ep/it:255- 334 niter: 98000  477m 38s (- 2322m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.3022  loss_TTT: 0.0358  acc: 0.6187  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594
ep/it:256-   1 niter: 98050  477m 56s (- 2322m 26s) completed: 17%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0359  acc: 0.6207  lr: 0.0000 
ep/it:256-  51 niter: 98100  478m 11s (- 2322m 14s) completed: 17%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0358  acc: 0.6234  lr: 0.0000 
ep/it:256- 101 niter: 98150  478m 25s (- 2321m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0351  acc: 0.6288  lr: 0.0000 
ep/it:256- 151 niter: 98200  478m 39s (- 2321m 37s) completed: 17%) loss_emb: 0.0000  loss: 1.2891  loss_TTT: 0.0355  acc: 0.6223  lr: 0.0000 
ep/it:256- 201 niter: 98250  478m 53s (- 2321m 21s) completed: 17%) loss_emb: 0.0000  loss: 1.3097  loss_TTT: 0.0357  acc: 0.6149  lr: 0.0000 
ep/it:256- 251 niter: 98300  479m 8s (- 2321m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0350  acc: 0.6229  lr: 0.0000 
ep/it:256- 301 niter: 98350  479m 23s (- 2320m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.2929  loss_TTT: 0.0348  acc: 0.6211  lr: 0.0000 
ep/it:256- 351 niter: 98400  479m 37s (- 2320m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0346  acc: 0.6265  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.591
ep/it:257-  18 niter: 98450  479m 53s (- 2320m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.2956  loss_TTT: 0.0352  acc: 0.6173  lr: 0.0000 
ep/it:257-  68 niter: 98500  480m 8s (- 2320m 15s) completed: 17%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0334  acc: 0.6173  lr: 0.0000 
ep/it:257- 118 niter: 98550  480m 23s (- 2320m 4s) completed: 17%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0347  acc: 0.6247  lr: 0.0000 
ep/it:257- 168 niter: 98600  480m 38s (- 2319m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.2980  loss_TTT: 0.0380  acc: 0.6186  lr: 0.0000 
ep/it:257- 218 niter: 98650  480m 52s (- 2319m 35s) completed: 17%) loss_emb: 0.0000  loss: 1.2970  loss_TTT: 0.0356  acc: 0.6190  lr: 0.0000 
ep/it:257- 268 niter: 98700  481m 7s (- 2319m 21s) completed: 17%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0365  acc: 0.6228  lr: 0.0000 
ep/it:257- 318 niter: 98750  481m 22s (- 2319m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0360  acc: 0.6220  lr: 0.0000 
ep/it:257- 368 niter: 98800  481m 36s (- 2318m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0339  acc: 0.6215  lr: 0.0000 
Validation time:
Validation loss:1.447, accuracy:0.594
ep/it:258-  35 niter: 98850  481m 53s (- 2318m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.3022  loss_TTT: 0.0346  acc: 0.6170  lr: 0.0000 
ep/it:258-  85 niter: 98900  482m 8s (- 2318m 34s) completed: 17%) loss_emb: 0.0000  loss: 1.2698  loss_TTT: 0.0374  acc: 0.6267  lr: 0.0000 
ep/it:258- 135 niter: 98950  482m 23s (- 2318m 20s) completed: 17%) loss_emb: 0.0000  loss: 1.3004  loss_TTT: 0.0358  acc: 0.6177  lr: 0.0000 
ep/it:258- 185 niter: 99000  482m 37s (- 2318m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.3077  loss_TTT: 0.0366  acc: 0.6163  lr: 0.0000 
ep/it:258- 235 niter: 99050  482m 52s (- 2317m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.2844  loss_TTT: 0.0362  acc: 0.6234  lr: 0.0000 
ep/it:258- 285 niter: 99100  483m 7s (- 2317m 39s) completed: 17%) loss_emb: 0.0000  loss: 1.3010  loss_TTT: 0.0374  acc: 0.6180  lr: 0.0000 
ep/it:258- 335 niter: 99150  483m 22s (- 2317m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0356  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.479, accuracy:0.589
ep/it:259-   2 niter: 99200  483m 40s (- 2317m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0341  acc: 0.6198  lr: 0.0000 
ep/it:259-  52 niter: 99250  483m 54s (- 2317m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.3071  loss_TTT: 0.0339  acc: 0.6165  lr: 0.0000 
ep/it:259- 102 niter: 99300  484m 9s (- 2316m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.2979  loss_TTT: 0.0370  acc: 0.6201  lr: 0.0000 
ep/it:259- 152 niter: 99350  484m 24s (- 2316m 42s) completed: 17%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0366  acc: 0.6248  lr: 0.0000 
ep/it:259- 202 niter: 99400  484m 38s (- 2316m 24s) completed: 17%) loss_emb: 0.0000  loss: 1.2973  loss_TTT: 0.0370  acc: 0.6187  lr: 0.0000 
ep/it:259- 252 niter: 99450  484m 52s (- 2316m 8s) completed: 17%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0345  acc: 0.6243  lr: 0.0000 
ep/it:259- 302 niter: 99500  485m 6s (- 2315m 51s) completed: 17%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0361  acc: 0.6279  lr: 0.0000 
ep/it:259- 352 niter: 99550  485m 21s (- 2315m 37s) completed: 17%) loss_emb: 0.0000  loss: 1.2932  loss_TTT: 0.0355  acc: 0.6211  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.601

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.21it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.34it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.32it/s]
100%|██████████| 47/47 [00:06<00:00,  7.61it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4681643778458238 avg: 2.4681643778458238
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5303392778150737 avg: 2.4992518278304487
--> 	 Eva. Repeat 22 :, FID. 0.1042, Diversity Real. 9.3143, Diversity. 9.5717, R_precision_real. [0.51660156 0.7109375  0.80371094], R_precision. [0.50195312 0.69042969 0.78515625], matching_score_real. 2.8535, matching_score_pred. 2.9748, skate_ratio. 0.0487, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5127 (traj_fail_50cm (Traj err)): 0.3047 (kps_fail_20cm): 0.3574 (kps_fail_50cm (Loc. err)): 0.2064 (kps_mean_err(m) (Avg. err)): 0.3842 
ep/it:260-  19 niter: 99600  485m 46s (- 2316m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.2925  loss_TTT: 0.0359  acc: 0.6196  lr: 0.0000 
ep/it:260-  69 niter: 99650  486m 0s (- 2315m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.2986  loss_TTT: 0.0359  acc: 0.6191  lr: 0.0000 
ep/it:260- 119 niter: 99700  486m 15s (- 2315m 40s) completed: 17%) loss_emb: 0.0000  loss: 1.2898  loss_TTT: 0.0360  acc: 0.6203  lr: 0.0000 
ep/it:260- 169 niter: 99750  486m 29s (- 2315m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.2895  loss_TTT: 0.0357  acc: 0.6208  lr: 0.0000 
ep/it:260- 219 niter: 99800  486m 44s (- 2315m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0359  acc: 0.6237  lr: 0.0000 
ep/it:260- 269 niter: 99850  486m 59s (- 2314m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0362  acc: 0.6215  lr: 0.0000 
ep/it:260- 319 niter: 99900  487m 13s (- 2314m 42s) completed: 17%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0372  acc: 0.6226  lr: 0.0000 
ep/it:260- 369 niter: 99950  487m 28s (- 2314m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0356  acc: 0.6224  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.590
ep/it:261-  36 niter:100000  487m 46s (- 2314m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0357  acc: 0.6241  lr: 0.0000 
ep/it:261-  86 niter:100050  488m 1s (- 2314m 14s) completed: 17%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0366  acc: 0.6287  lr: 0.0000 
ep/it:261- 136 niter:100100  488m 16s (- 2314m 2s) completed: 17%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0355  acc: 0.6227  lr: 0.0000 
ep/it:261- 186 niter:100150  488m 30s (- 2313m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.3002  loss_TTT: 0.0357  acc: 0.6179  lr: 0.0000 
ep/it:261- 236 niter:100200  488m 44s (- 2313m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.2970  loss_TTT: 0.0368  acc: 0.6191  lr: 0.0000 
ep/it:261- 286 niter:100250  488m 58s (- 2313m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.2931  loss_TTT: 0.0337  acc: 0.6192  lr: 0.0000 
ep/it:261- 336 niter:100300  489m 13s (- 2312m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0365  acc: 0.6205  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.602
ep/it:262-   3 niter:100350  489m 29s (- 2312m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.2927  loss_TTT: 0.0358  acc: 0.6202  lr: 0.0000 
ep/it:262-  53 niter:100400  489m 44s (- 2312m 37s) completed: 17%) loss_emb: 0.0000  loss: 1.3094  loss_TTT: 0.0375  acc: 0.6151  lr: 0.0000 
ep/it:262- 103 niter:100450  489m 59s (- 2312m 22s) completed: 17%) loss_emb: 0.0000  loss: 1.2799  loss_TTT: 0.0362  acc: 0.6234  lr: 0.0000 
ep/it:262- 153 niter:100500  490m 13s (- 2312m 4s) completed: 17%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0357  acc: 0.6253  lr: 0.0000 
ep/it:262- 203 niter:100550  490m 28s (- 2311m 52s) completed: 17%) loss_emb: 0.0000  loss: 1.3050  loss_TTT: 0.0340  acc: 0.6159  lr: 0.0000 
ep/it:262- 253 niter:100600  490m 42s (- 2311m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.2884  loss_TTT: 0.0341  acc: 0.6211  lr: 0.0000 
ep/it:262- 303 niter:100650  490m 56s (- 2311m 20s) completed: 17%) loss_emb: 0.0000  loss: 1.2903  loss_TTT: 0.0352  acc: 0.6204  lr: 0.0000 
ep/it:262- 353 niter:100700  491m 10s (- 2311m 2s) completed: 17%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0348  acc: 0.6159  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.594
ep/it:263-  20 niter:100750  491m 28s (- 2311m 0s) completed: 17%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0353  acc: 0.6229  lr: 0.0000 
ep/it:263-  70 niter:100800  491m 42s (- 2310m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0373  acc: 0.6281  lr: 0.0000 
ep/it:263- 120 niter:100850  491m 57s (- 2310m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.3031  loss_TTT: 0.0350  acc: 0.6173  lr: 0.0000 
ep/it:263- 170 niter:100900  492m 11s (- 2310m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0368  acc: 0.6237  lr: 0.0000 
ep/it:263- 220 niter:100950  492m 25s (- 2309m 57s) completed: 17%) loss_emb: 0.0000  loss: 1.2952  loss_TTT: 0.0340  acc: 0.6195  lr: 0.0000 
ep/it:263- 270 niter:101000  492m 40s (- 2309m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.3137  loss_TTT: 0.0341  acc: 0.6144  lr: 0.0000 
ep/it:263- 320 niter:101050  492m 56s (- 2309m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.2770  loss_TTT: 0.0350  acc: 0.6235  lr: 0.0000 
ep/it:263- 370 niter:101100  493m 10s (- 2309m 16s) completed: 17%) loss_emb: 0.0000  loss: 1.2901  loss_TTT: 0.0351  acc: 0.6205  lr: 0.0000 
Validation time:
Validation loss:1.479, accuracy:0.585
ep/it:264-  37 niter:101150  493m 27s (- 2309m 15s) completed: 17%) loss_emb: 0.0000  loss: 1.3218  loss_TTT: 0.0350  acc: 0.6137  lr: 0.0000 
ep/it:264-  87 niter:101200  493m 42s (- 2308m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0347  acc: 0.6308  lr: 0.0000 
ep/it:264- 137 niter:101250  493m 56s (- 2308m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0359  acc: 0.6293  lr: 0.0000 
ep/it:264- 187 niter:101300  494m 10s (- 2308m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0345  acc: 0.6255  lr: 0.0000 
ep/it:264- 237 niter:101350  494m 24s (- 2308m 9s) completed: 17%) loss_emb: 0.0000  loss: 1.2996  loss_TTT: 0.0361  acc: 0.6175  lr: 0.0000 
ep/it:264- 287 niter:101400  494m 39s (- 2307m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.2539  loss_TTT: 0.0358  acc: 0.6319  lr: 0.0000 
ep/it:264- 337 niter:101450  494m 53s (- 2307m 37s) completed: 17%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0354  acc: 0.6262  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.597
ep/it:265-   4 niter:101500  495m 10s (- 2307m 35s) completed: 17%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0377  acc: 0.6188  lr: 0.0000 
ep/it:265-  54 niter:101550  495m 25s (- 2307m 22s) completed: 17%) loss_emb: 0.0000  loss: 1.3033  loss_TTT: 0.0358  acc: 0.6166  lr: 0.0000 
ep/it:265- 104 niter:101600  495m 39s (- 2307m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.2951  loss_TTT: 0.0349  acc: 0.6194  lr: 0.0000 
ep/it:265- 154 niter:101650  495m 54s (- 2306m 51s) completed: 17%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0371  acc: 0.6248  lr: 0.0000 
ep/it:265- 204 niter:101700  496m 9s (- 2306m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.2786  loss_TTT: 0.0354  acc: 0.6250  lr: 0.0000 
ep/it:265- 254 niter:101750  496m 23s (- 2306m 21s) completed: 17%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0344  acc: 0.6217  lr: 0.0000 
ep/it:265- 304 niter:101800  496m 38s (- 2306m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.3005  loss_TTT: 0.0339  acc: 0.6173  lr: 0.0000 
ep/it:265- 354 niter:101850  496m 53s (- 2305m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0341  acc: 0.6263  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.589
ep/it:266-  21 niter:101900  497m 10s (- 2305m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.2759  loss_TTT: 0.0362  acc: 0.6239  lr: 0.0000 
ep/it:266-  71 niter:101950  497m 24s (- 2305m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.2911  loss_TTT: 0.0333  acc: 0.6215  lr: 0.0000 
ep/it:266- 121 niter:102000  497m 38s (- 2305m 15s) completed: 17%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0360  acc: 0.6265  lr: 0.0000 
ep/it:266- 171 niter:102050  497m 52s (- 2304m 59s) completed: 17%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0359  acc: 0.6272  lr: 0.0000 
ep/it:266- 221 niter:102100  498m 6s (- 2304m 42s) completed: 17%) loss_emb: 0.0000  loss: 1.2832  loss_TTT: 0.0353  acc: 0.6230  lr: 0.0000 
ep/it:266- 271 niter:102150  498m 21s (- 2304m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0339  acc: 0.6269  lr: 0.0000 
ep/it:266- 321 niter:102200  498m 35s (- 2304m 9s) completed: 17%) loss_emb: 0.0000  loss: 1.2995  loss_TTT: 0.0353  acc: 0.6178  lr: 0.0000 
ep/it:266- 371 niter:102250  498m 49s (- 2303m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0347  acc: 0.6221  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.597
ep/it:267-  38 niter:102300  499m 6s (- 2303m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.2853  loss_TTT: 0.0363  acc: 0.6228  lr: 0.0000 
ep/it:267-  88 niter:102350  499m 20s (- 2303m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.2952  loss_TTT: 0.0356  acc: 0.6194  lr: 0.0000 
ep/it:267- 138 niter:102400  499m 35s (- 2303m 15s) completed: 17%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0340  acc: 0.6229  lr: 0.0000 
ep/it:267- 188 niter:102450  499m 49s (- 2303m 0s) completed: 17%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0351  acc: 0.6214  lr: 0.0000 
ep/it:267- 238 niter:102500  500m 3s (- 2302m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0368  acc: 0.6220  lr: 0.0000 
ep/it:267- 288 niter:102550  500m 18s (- 2302m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.3152  loss_TTT: 0.0361  acc: 0.6157  lr: 0.0000 
ep/it:267- 338 niter:102600  500m 32s (- 2302m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.2997  loss_TTT: 0.0355  acc: 0.6179  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.597
ep/it:268-   5 niter:102650  500m 50s (- 2302m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.2986  loss_TTT: 0.0349  acc: 0.6176  lr: 0.0000 
ep/it:268-  55 niter:102700  501m 4s (- 2301m 53s) completed: 17%) loss_emb: 0.0000  loss: 1.2927  loss_TTT: 0.0367  acc: 0.6191  lr: 0.0000 
ep/it:268- 105 niter:102750  501m 18s (- 2301m 37s) completed: 17%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0359  acc: 0.6205  lr: 0.0000 
ep/it:268- 155 niter:102800  501m 32s (- 2301m 22s) completed: 17%) loss_emb: 0.0000  loss: 1.2825  loss_TTT: 0.0349  acc: 0.6222  lr: 0.0000 
ep/it:268- 205 niter:102850  501m 47s (- 2301m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0351  acc: 0.6209  lr: 0.0000 
ep/it:268- 255 niter:102900  502m 1s (- 2300m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.2813  loss_TTT: 0.0377  acc: 0.6228  lr: 0.0000 
ep/it:268- 305 niter:102950  502m 16s (- 2300m 34s) completed: 17%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0357  acc: 0.6197  lr: 0.0000 
ep/it:268- 355 niter:103000  502m 30s (- 2300m 17s) completed: 17%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0347  acc: 0.6216  lr: 0.0000 
Validation time:
Validation loss:1.416, accuracy:0.602
ep/it:269-  22 niter:103050  502m 47s (- 2300m 15s) completed: 17%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0359  acc: 0.6208  lr: 0.0000 
ep/it:269-  72 niter:103100  503m 1s (- 2299m 59s) completed: 17%) loss_emb: 0.0000  loss: 1.2755  loss_TTT: 0.0364  acc: 0.6244  lr: 0.0000 
ep/it:269- 122 niter:103150  503m 15s (- 2299m 41s) completed: 17%) loss_emb: 0.0000  loss: 1.2960  loss_TTT: 0.0352  acc: 0.6201  lr: 0.0000 
ep/it:269- 172 niter:103200  503m 30s (- 2299m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0348  acc: 0.6237  lr: 0.0000 
ep/it:269- 222 niter:103250  503m 43s (- 2299m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.2751  loss_TTT: 0.0361  acc: 0.6248  lr: 0.0000 
ep/it:269- 272 niter:103300  503m 57s (- 2298m 47s) completed: 17%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0348  acc: 0.6225  lr: 0.0000 
ep/it:269- 322 niter:103350  504m 11s (- 2298m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0352  acc: 0.6238  lr: 0.0000 
ep/it:269- 372 niter:103400  504m 25s (- 2298m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.3145  loss_TTT: 0.0345  acc: 0.6138  lr: 0.0000 
Validation time:
Validation loss:1.488, accuracy:0.585

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.76it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.28it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.67it/s]
100%|██████████| 47/47 [00:05<00:00,  7.88it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4596377736888826 avg: 2.4596377736888826
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.454299536999315 avg: 2.456968655344099
--> 	 Eva. Repeat 22 :, FID. 0.1287, Diversity Real. 9.2533, Diversity. 9.9011, R_precision_real. [0.50585938 0.69628906 0.79589844], R_precision. [0.47851562 0.68847656 0.79394531], matching_score_real. 2.9620, matching_score_pred. 3.0367, skate_ratio. 0.0468, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5215 (traj_fail_50cm (Traj err)): 0.3076 (kps_fail_20cm): 0.3760 (kps_fail_50cm (Loc. err)): 0.2087 (kps_mean_err(m) (Avg. err)): 0.3690 
ep/it:270-  39 niter:103450  504m 49s (- 2298m 42s) completed: 18%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0354  acc: 0.6213  lr: 0.0000 
ep/it:270-  89 niter:103500  505m 4s (- 2298m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0343  acc: 0.6219  lr: 0.0000 
ep/it:270- 139 niter:103550  505m 19s (- 2298m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0345  acc: 0.6264  lr: 0.0000 
ep/it:270- 189 niter:103600  505m 34s (- 2298m 0s) completed: 18%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0347  acc: 0.6223  lr: 0.0000 
ep/it:270- 239 niter:103650  505m 48s (- 2297m 44s) completed: 18%) loss_emb: 0.0000  loss: 1.2849  loss_TTT: 0.0364  acc: 0.6228  lr: 0.0000 
ep/it:270- 289 niter:103700  506m 3s (- 2297m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.2950  loss_TTT: 0.0353  acc: 0.6195  lr: 0.0000 
ep/it:270- 339 niter:103750  506m 18s (- 2297m 16s) completed: 18%) loss_emb: 0.0000  loss: 1.2950  loss_TTT: 0.0347  acc: 0.6184  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.596
ep/it:271-   6 niter:103800  506m 35s (- 2297m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.3038  loss_TTT: 0.0361  acc: 0.6166  lr: 0.0000 
ep/it:271-  56 niter:103850  506m 49s (- 2296m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0343  acc: 0.6246  lr: 0.0000 
ep/it:271- 106 niter:103900  507m 3s (- 2296m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0346  acc: 0.6220  lr: 0.0000 
ep/it:271- 156 niter:103950  507m 18s (- 2296m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.2960  loss_TTT: 0.0353  acc: 0.6195  lr: 0.0000 
ep/it:271- 206 niter:104000  507m 33s (- 2296m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.2932  loss_TTT: 0.0356  acc: 0.6203  lr: 0.0000 
ep/it:271- 256 niter:104050  507m 47s (- 2295m 57s) completed: 18%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0359  acc: 0.6243  lr: 0.0000 
ep/it:271- 306 niter:104100  508m 2s (- 2295m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0362  acc: 0.6242  lr: 0.0000 
ep/it:271- 356 niter:104150  508m 16s (- 2295m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0348  acc: 0.6237  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.596
ep/it:272-  23 niter:104200  508m 34s (- 2295m 24s) completed: 18%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0374  acc: 0.6223  lr: 0.0000 
ep/it:272-  73 niter:104250  508m 49s (- 2295m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0348  acc: 0.6230  lr: 0.0000 
ep/it:272- 123 niter:104300  509m 4s (- 2294m 57s) completed: 18%) loss_emb: 0.0000  loss: 1.3123  loss_TTT: 0.0333  acc: 0.6138  lr: 0.0000 
ep/it:272- 173 niter:104350  509m 18s (- 2294m 42s) completed: 18%) loss_emb: 0.0000  loss: 1.3073  loss_TTT: 0.0348  acc: 0.6150  lr: 0.0000 
ep/it:272- 223 niter:104400  509m 33s (- 2294m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0357  acc: 0.6217  lr: 0.0000 
ep/it:272- 273 niter:104450  509m 47s (- 2294m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0360  acc: 0.6210  lr: 0.0000 
ep/it:272- 323 niter:104500  510m 1s (- 2293m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0377  acc: 0.6260  lr: 0.0000 
ep/it:272- 373 niter:104550  510m 16s (- 2293m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0346  acc: 0.6198  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.595
ep/it:273-  40 niter:104600  510m 33s (- 2293m 35s) completed: 18%) loss_emb: 0.0000  loss: 1.3201  loss_TTT: 0.0380  acc: 0.6129  lr: 0.0000 
ep/it:273-  90 niter:104650  510m 48s (- 2293m 21s) completed: 18%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0354  acc: 0.6247  lr: 0.0000 
ep/it:273- 140 niter:104700  511m 2s (- 2293m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.2993  loss_TTT: 0.0372  acc: 0.6169  lr: 0.0000 
ep/it:273- 190 niter:104750  511m 16s (- 2292m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0356  acc: 0.6195  lr: 0.0000 
ep/it:273- 240 niter:104800  511m 31s (- 2292m 33s) completed: 18%) loss_emb: 0.0000  loss: 1.2891  loss_TTT: 0.0349  acc: 0.6202  lr: 0.0000 
ep/it:273- 290 niter:104850  511m 45s (- 2292m 16s) completed: 18%) loss_emb: 0.0000  loss: 1.3063  loss_TTT: 0.0353  acc: 0.6162  lr: 0.0000 
ep/it:273- 340 niter:104900  511m 59s (- 2292m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.2943  loss_TTT: 0.0356  acc: 0.6190  lr: 0.0000 
Validation time:
Validation loss:1.514, accuracy:0.576
ep/it:274-   7 niter:104950  512m 17s (- 2291m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0361  acc: 0.6172  lr: 0.0000 
ep/it:274-  57 niter:105000  512m 32s (- 2291m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.2739  loss_TTT: 0.0357  acc: 0.6255  lr: 0.0000 
ep/it:274- 107 niter:105050  512m 47s (- 2291m 32s) completed: 18%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0351  acc: 0.6213  lr: 0.0000 
ep/it:274- 157 niter:105100  513m 1s (- 2291m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.2990  loss_TTT: 0.0346  acc: 0.6179  lr: 0.0000 
ep/it:274- 207 niter:105150  513m 15s (- 2291m 1s) completed: 18%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0341  acc: 0.6239  lr: 0.0000 
ep/it:274- 257 niter:105200  513m 30s (- 2290m 44s) completed: 18%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0368  acc: 0.6238  lr: 0.0000 
ep/it:274- 307 niter:105250  513m 44s (- 2290m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.2897  loss_TTT: 0.0339  acc: 0.6197  lr: 0.0000 
ep/it:274- 357 niter:105300  513m 59s (- 2290m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.3081  loss_TTT: 0.0354  acc: 0.6155  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.592
ep/it:275-  24 niter:105350  514m 15s (- 2290m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.2997  loss_TTT: 0.0350  acc: 0.6180  lr: 0.0000 
ep/it:275-  74 niter:105400  514m 30s (- 2289m 54s) completed: 18%) loss_emb: 0.0000  loss: 1.2925  loss_TTT: 0.0368  acc: 0.6207  lr: 0.0000 
ep/it:275- 124 niter:105450  514m 45s (- 2289m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.2971  loss_TTT: 0.0372  acc: 0.6192  lr: 0.0000 
ep/it:275- 174 niter:105500  514m 59s (- 2289m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.3081  loss_TTT: 0.0344  acc: 0.6154  lr: 0.0000 
ep/it:275- 224 niter:105550  515m 14s (- 2289m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0359  acc: 0.6253  lr: 0.0000 
ep/it:275- 274 niter:105600  515m 28s (- 2288m 54s) completed: 18%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0340  acc: 0.6255  lr: 0.0000 
ep/it:275- 324 niter:105650  515m 43s (- 2288m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.2981  loss_TTT: 0.0344  acc: 0.6186  lr: 0.0000 
ep/it:275- 374 niter:105700  515m 57s (- 2288m 21s) completed: 18%) loss_emb: 0.0000  loss: 1.3165  loss_TTT: 0.0353  acc: 0.6124  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.593
ep/it:276-  41 niter:105750  516m 14s (- 2288m 19s) completed: 18%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0339  acc: 0.6235  lr: 0.0000 
ep/it:276-  91 niter:105800  516m 29s (- 2288m 3s) completed: 18%) loss_emb: 0.0000  loss: 1.2958  loss_TTT: 0.0351  acc: 0.6186  lr: 0.0000 
ep/it:276- 141 niter:105850  516m 42s (- 2287m 45s) completed: 18%) loss_emb: 0.0000  loss: 1.3089  loss_TTT: 0.0374  acc: 0.6155  lr: 0.0000 
ep/it:276- 191 niter:105900  516m 57s (- 2287m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.2638  loss_TTT: 0.0366  acc: 0.6283  lr: 0.0000 
ep/it:276- 241 niter:105950  517m 11s (- 2287m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0351  acc: 0.6229  lr: 0.0000 
ep/it:276- 291 niter:106000  517m 24s (- 2286m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.2733  loss_TTT: 0.0351  acc: 0.6266  lr: 0.0000 
ep/it:276- 341 niter:106050  517m 39s (- 2286m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0348  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.600
ep/it:277-   8 niter:106100  517m 56s (- 2286m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0346  acc: 0.6247  lr: 0.0000 
ep/it:277-  58 niter:106150  518m 10s (- 2286m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.2968  loss_TTT: 0.0347  acc: 0.6188  lr: 0.0000 
ep/it:277- 108 niter:106200  518m 24s (- 2285m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.2942  loss_TTT: 0.0383  acc: 0.6187  lr: 0.0000 
ep/it:277- 158 niter:106250  518m 38s (- 2285m 42s) completed: 18%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0351  acc: 0.6216  lr: 0.0000 
ep/it:277- 208 niter:106300  518m 53s (- 2285m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.3122  loss_TTT: 0.0365  acc: 0.6154  lr: 0.0000 
ep/it:277- 258 niter:106350  519m 8s (- 2285m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.2837  loss_TTT: 0.0336  acc: 0.6229  lr: 0.0000 
ep/it:277- 308 niter:106400  519m 22s (- 2284m 57s) completed: 18%) loss_emb: 0.0000  loss: 1.2815  loss_TTT: 0.0367  acc: 0.6231  lr: 0.0000 
ep/it:277- 358 niter:106450  519m 36s (- 2284m 38s) completed: 18%) loss_emb: 0.0000  loss: 1.2801  loss_TTT: 0.0344  acc: 0.6233  lr: 0.0000 
Validation time:
Validation loss:1.516, accuracy:0.577
ep/it:278-  25 niter:106500  519m 54s (- 2284m 38s) completed: 18%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0348  acc: 0.6273  lr: 0.0000 
ep/it:278-  75 niter:106550  520m 8s (- 2284m 23s) completed: 18%) loss_emb: 0.0000  loss: 1.3058  loss_TTT: 0.0353  acc: 0.6174  lr: 0.0000 
ep/it:278- 125 niter:106600  520m 22s (- 2284m 6s) completed: 18%) loss_emb: 0.0000  loss: 1.3055  loss_TTT: 0.0358  acc: 0.6163  lr: 0.0000 
ep/it:278- 175 niter:106650  520m 36s (- 2283m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0353  acc: 0.6245  lr: 0.0000 
ep/it:278- 225 niter:106700  520m 50s (- 2283m 32s) completed: 18%) loss_emb: 0.0000  loss: 1.3007  loss_TTT: 0.0382  acc: 0.6180  lr: 0.0000 
ep/it:278- 275 niter:106750  521m 5s (- 2283m 16s) completed: 18%) loss_emb: 0.0000  loss: 1.2928  loss_TTT: 0.0357  acc: 0.6201  lr: 0.0000 
ep/it:278- 325 niter:106800  521m 19s (- 2282m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.2885  loss_TTT: 0.0328  acc: 0.6203  lr: 0.0000 
ep/it:278- 375 niter:106850  521m 33s (- 2282m 43s) completed: 18%) loss_emb: 0.0000  loss: 1.2876  loss_TTT: 0.0362  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.592
ep/it:279-  42 niter:106900  521m 51s (- 2282m 43s) completed: 18%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0348  acc: 0.6220  lr: 0.0000 
ep/it:279-  92 niter:106950  522m 6s (- 2282m 28s) completed: 18%) loss_emb: 0.0000  loss: 1.2902  loss_TTT: 0.0357  acc: 0.6193  lr: 0.0000 
ep/it:279- 142 niter:107000  522m 21s (- 2282m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0346  acc: 0.6270  lr: 0.0000 
ep/it:279- 192 niter:107050  522m 35s (- 2281m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.2883  loss_TTT: 0.0365  acc: 0.6210  lr: 0.0000 
ep/it:279- 242 niter:107100  522m 49s (- 2281m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0329  acc: 0.6207  lr: 0.0000 
ep/it:279- 292 niter:107150  523m 4s (- 2281m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0351  acc: 0.6166  lr: 0.0000 
ep/it:279- 342 niter:107200  523m 18s (- 2281m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.2735  loss_TTT: 0.0356  acc: 0.6260  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.604

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.53it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.25it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.44it/s]
100%|██████████| 47/47 [00:06<00:00,  7.62it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.455470005981624 avg: 2.455470005981624
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.465644918847829 avg: 2.4605574624147266
--> 	 Eva. Repeat 22 :, FID. 0.1161, Diversity Real. 9.4848, Diversity. 9.9671, R_precision_real. [0.49609375 0.6875     0.79101562], R_precision. [0.50195312 0.68652344 0.79394531], matching_score_real. 2.9512, matching_score_pred. 3.0204, skate_ratio. 0.0486, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5166 (traj_fail_50cm (Traj err)): 0.2998 (kps_fail_20cm): 0.3694 (kps_fail_50cm (Loc. err)): 0.1984 (kps_mean_err(m) (Avg. err)): 0.3671 
ep/it:280-   9 niter:107250  523m 42s (- 2281m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0349  acc: 0.6201  lr: 0.0000 
ep/it:280-  59 niter:107300  523m 57s (- 2281m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.3019  loss_TTT: 0.0362  acc: 0.6169  lr: 0.0000 
ep/it:280- 109 niter:107350  524m 12s (- 2281m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0352  acc: 0.6200  lr: 0.0000 
ep/it:280- 159 niter:107400  524m 26s (- 2280m 54s) completed: 18%) loss_emb: 0.0000  loss: 1.2999  loss_TTT: 0.0367  acc: 0.6174  lr: 0.0000 
ep/it:280- 209 niter:107450  524m 41s (- 2280m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0357  acc: 0.6231  lr: 0.0000 
ep/it:280- 259 niter:107500  524m 56s (- 2280m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.3323  loss_TTT: 0.0365  acc: 0.6087  lr: 0.0000 
ep/it:280- 309 niter:107550  525m 11s (- 2280m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0353  acc: 0.6219  lr: 0.0000 
ep/it:280- 359 niter:107600  525m 26s (- 2279m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.3010  loss_TTT: 0.0340  acc: 0.6166  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594
ep/it:281-  26 niter:107650  525m 42s (- 2279m 53s) completed: 18%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0361  acc: 0.6221  lr: 0.0000 
ep/it:281-  76 niter:107700  525m 57s (- 2279m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.2769  loss_TTT: 0.0370  acc: 0.6240  lr: 0.0000 
ep/it:281- 126 niter:107750  526m 10s (- 2279m 17s) completed: 18%) loss_emb: 0.0000  loss: 1.3000  loss_TTT: 0.0362  acc: 0.6183  lr: 0.0000 
ep/it:281- 176 niter:107800  526m 24s (- 2279m 0s) completed: 18%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0352  acc: 0.6257  lr: 0.0000 
ep/it:281- 226 niter:107850  526m 39s (- 2278m 44s) completed: 18%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0351  acc: 0.6175  lr: 0.0000 
ep/it:281- 276 niter:107900  526m 53s (- 2278m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0353  acc: 0.6318  lr: 0.0000 
ep/it:281- 326 niter:107950  527m 7s (- 2278m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0336  acc: 0.6285  lr: 0.0000 
ep/it:281- 376 niter:108000  527m 22s (- 2277m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0354  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.419, accuracy:0.601
ep/it:282-  43 niter:108050  527m 39s (- 2277m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.2825  loss_TTT: 0.0354  acc: 0.6223  lr: 0.0000 
ep/it:282-  93 niter:108100  527m 53s (- 2277m 35s) completed: 18%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0356  acc: 0.6164  lr: 0.0000 
ep/it:282- 143 niter:108150  528m 7s (- 2277m 19s) completed: 18%) loss_emb: 0.0000  loss: 1.2858  loss_TTT: 0.0357  acc: 0.6213  lr: 0.0000 
ep/it:282- 193 niter:108200  528m 21s (- 2277m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0350  acc: 0.6204  lr: 0.0000 
ep/it:282- 243 niter:108250  528m 36s (- 2276m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.3031  loss_TTT: 0.0360  acc: 0.6185  lr: 0.0000 
ep/it:282- 293 niter:108300  528m 50s (- 2276m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0349  acc: 0.6267  lr: 0.0000 
ep/it:282- 343 niter:108350  529m 4s (- 2276m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0368  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.592
ep/it:283-  10 niter:108400  529m 21s (- 2276m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0357  acc: 0.6219  lr: 0.0000 
ep/it:283-  60 niter:108450  529m 36s (- 2275m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0358  acc: 0.6272  lr: 0.0000 
ep/it:283- 110 niter:108500  529m 50s (- 2275m 38s) completed: 18%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0350  acc: 0.6240  lr: 0.0000 
ep/it:283- 160 niter:108550  530m 6s (- 2275m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0350  acc: 0.6278  lr: 0.0000 
ep/it:283- 210 niter:108600  530m 21s (- 2275m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0370  acc: 0.6209  lr: 0.0000 
ep/it:283- 260 niter:108650  530m 35s (- 2274m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0365  acc: 0.6240  lr: 0.0000 
ep/it:283- 310 niter:108700  530m 50s (- 2274m 44s) completed: 18%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0366  acc: 0.6284  lr: 0.0000 
ep/it:283- 360 niter:108750  531m 5s (- 2274m 30s) completed: 18%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0346  acc: 0.6288  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.595
ep/it:284-  27 niter:108800  531m 22s (- 2274m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0364  acc: 0.6192  lr: 0.0000 
ep/it:284-  77 niter:108850  531m 36s (- 2274m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.3036  loss_TTT: 0.0365  acc: 0.6170  lr: 0.0000 
ep/it:284- 127 niter:108900  531m 51s (- 2273m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.2804  loss_TTT: 0.0354  acc: 0.6234  lr: 0.0000 
ep/it:284- 177 niter:108950  532m 5s (- 2273m 39s) completed: 18%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0348  acc: 0.6271  lr: 0.0000 
ep/it:284- 227 niter:109000  532m 19s (- 2273m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0358  acc: 0.6254  lr: 0.0000 
ep/it:284- 277 niter:109050  532m 34s (- 2273m 8s) completed: 18%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0351  acc: 0.6201  lr: 0.0000 
ep/it:284- 327 niter:109100  532m 48s (- 2272m 50s) completed: 18%) loss_emb: 0.0000  loss: 1.3086  loss_TTT: 0.0358  acc: 0.6149  lr: 0.0000 
ep/it:284- 377 niter:109150  533m 2s (- 2272m 33s) completed: 18%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0358  acc: 0.6198  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.587
ep/it:285-  44 niter:109200  533m 20s (- 2272m 32s) completed: 19%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0358  acc: 0.6272  lr: 0.0000 
ep/it:285-  94 niter:109250  533m 34s (- 2272m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.2940  loss_TTT: 0.0386  acc: 0.6196  lr: 0.0000 
ep/it:285- 144 niter:109300  533m 48s (- 2271m 58s) completed: 19%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0358  acc: 0.6242  lr: 0.0000 
ep/it:285- 194 niter:109350  534m 2s (- 2271m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.2973  loss_TTT: 0.0358  acc: 0.6187  lr: 0.0000 
ep/it:285- 244 niter:109400  534m 16s (- 2271m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.3067  loss_TTT: 0.0352  acc: 0.6150  lr: 0.0000 
ep/it:285- 294 niter:109450  534m 30s (- 2271m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0350  acc: 0.6252  lr: 0.0000 
ep/it:285- 344 niter:109500  534m 45s (- 2270m 52s) completed: 19%) loss_emb: 0.0000  loss: 1.2864  loss_TTT: 0.0354  acc: 0.6201  lr: 0.0000 
Validation time:
Validation loss:1.470, accuracy:0.589
ep/it:286-  11 niter:109550  535m 2s (- 2270m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0343  acc: 0.6242  lr: 0.0000 
ep/it:286-  61 niter:109600  535m 16s (- 2270m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0349  acc: 0.6224  lr: 0.0000 
ep/it:286- 111 niter:109650  535m 31s (- 2270m 17s) completed: 19%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0357  acc: 0.6252  lr: 0.0000 
ep/it:286- 161 niter:109700  535m 46s (- 2270m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0359  acc: 0.6187  lr: 0.0000 
ep/it:286- 211 niter:109750  536m 0s (- 2269m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.2777  loss_TTT: 0.0347  acc: 0.6235  lr: 0.0000 
ep/it:286- 261 niter:109800  536m 14s (- 2269m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.2946  loss_TTT: 0.0343  acc: 0.6183  lr: 0.0000 
ep/it:286- 311 niter:109850  536m 29s (- 2269m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0365  acc: 0.6183  lr: 0.0000 
ep/it:286- 361 niter:109900  536m 42s (- 2268m 56s) completed: 19%) loss_emb: 0.0000  loss: 1.2927  loss_TTT: 0.0353  acc: 0.6201  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.590
ep/it:287-  28 niter:109950  537m 0s (- 2268m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.2828  loss_TTT: 0.0361  acc: 0.6230  lr: 0.0000 
ep/it:287-  78 niter:110000  537m 15s (- 2268m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.2822  loss_TTT: 0.0348  acc: 0.6217  lr: 0.0000 
ep/it:287- 128 niter:110050  537m 30s (- 2268m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0356  acc: 0.6258  lr: 0.0000 
ep/it:287- 178 niter:110100  537m 44s (- 2268m 12s) completed: 19%) loss_emb: 0.0000  loss: 1.2814  loss_TTT: 0.0351  acc: 0.6232  lr: 0.0000 
ep/it:287- 228 niter:110150  537m 59s (- 2267m 56s) completed: 19%) loss_emb: 0.0000  loss: 1.3006  loss_TTT: 0.0362  acc: 0.6180  lr: 0.0000 
ep/it:287- 278 niter:110200  538m 13s (- 2267m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0330  acc: 0.6258  lr: 0.0000 
ep/it:287- 328 niter:110250  538m 28s (- 2267m 27s) completed: 19%) loss_emb: 0.0000  loss: 1.2990  loss_TTT: 0.0364  acc: 0.6172  lr: 0.0000 
ep/it:287- 378 niter:110300  538m 42s (- 2267m 10s) completed: 19%) loss_emb: 0.0000  loss: 1.2795  loss_TTT: 0.0359  acc: 0.6238  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.590
ep/it:288-  45 niter:110350  538m 58s (- 2267m 2s) completed: 19%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0350  acc: 0.6238  lr: 0.0000 
ep/it:288-  95 niter:110400  539m 13s (- 2266m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.2936  loss_TTT: 0.0358  acc: 0.6208  lr: 0.0000 
ep/it:288- 145 niter:110450  539m 28s (- 2266m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0352  acc: 0.6229  lr: 0.0000 
ep/it:288- 195 niter:110500  539m 42s (- 2266m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.2708  loss_TTT: 0.0353  acc: 0.6255  lr: 0.0000 
ep/it:288- 245 niter:110550  539m 56s (- 2266m 0s) completed: 19%) loss_emb: 0.0000  loss: 1.2804  loss_TTT: 0.0353  acc: 0.6231  lr: 0.0000 
ep/it:288- 295 niter:110600  540m 10s (- 2265m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0349  acc: 0.6222  lr: 0.0000 
ep/it:288- 345 niter:110650  540m 24s (- 2265m 25s) completed: 19%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0337  acc: 0.6247  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.594
ep/it:289-  12 niter:110700  540m 41s (- 2265m 19s) completed: 19%) loss_emb: 0.0000  loss: 1.2736  loss_TTT: 0.0358  acc: 0.6246  lr: 0.0000 
ep/it:289-  62 niter:110750  540m 55s (- 2265m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0361  acc: 0.6210  lr: 0.0000 
ep/it:289- 112 niter:110800  541m 10s (- 2264m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.3058  loss_TTT: 0.0348  acc: 0.6155  lr: 0.0000 
ep/it:289- 162 niter:110850  541m 24s (- 2264m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2906  loss_TTT: 0.0339  acc: 0.6193  lr: 0.0000 
ep/it:289- 212 niter:110900  541m 39s (- 2264m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0368  acc: 0.6254  lr: 0.0000 
ep/it:289- 262 niter:110950  541m 53s (- 2264m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0352  acc: 0.6225  lr: 0.0000 
ep/it:289- 312 niter:111000  542m 7s (- 2263m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0351  acc: 0.6224  lr: 0.0000 
ep/it:289- 362 niter:111050  542m 22s (- 2263m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.2811  loss_TTT: 0.0343  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.483, accuracy:0.586

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.69it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.86it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.32it/s]
100%|██████████| 47/47 [00:06<00:00,  7.40it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.46199308661744 avg: 2.46199308661744
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4548555687069893 avg: 2.4584243276622146
--> 	 Eva. Repeat 22 :, FID. 0.1808, Diversity Real. 9.4618, Diversity. 9.8459, R_precision_real. [0.53417969 0.70507812 0.796875  ], R_precision. [0.51855469 0.70410156 0.79492188], matching_score_real. 2.8911, matching_score_pred. 2.9598, skate_ratio. 0.0466, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5107 (traj_fail_50cm (Traj err)): 0.3027 (kps_fail_20cm): 0.3699 (kps_fail_50cm (Loc. err)): 0.1947 (kps_mean_err(m) (Avg. err)): 0.3561 
ep/it:290-  29 niter:111100  542m 46s (- 2263m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.3059  loss_TTT: 0.0354  acc: 0.6153  lr: 0.0000 
ep/it:290-  79 niter:111150  543m 0s (- 2263m 39s) completed: 19%) loss_emb: 0.0000  loss: 1.2942  loss_TTT: 0.0347  acc: 0.6180  lr: 0.0000 
ep/it:290- 129 niter:111200  543m 15s (- 2263m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.2945  loss_TTT: 0.0354  acc: 0.6192  lr: 0.0000 
ep/it:290- 179 niter:111250  543m 30s (- 2263m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0332  acc: 0.6283  lr: 0.0000 
ep/it:290- 229 niter:111300  543m 45s (- 2262m 58s) completed: 19%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0351  acc: 0.6258  lr: 0.0000 
ep/it:290- 279 niter:111350  544m 0s (- 2262m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0343  acc: 0.6242  lr: 0.0000 
ep/it:290- 329 niter:111400  544m 15s (- 2262m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0365  acc: 0.6260  lr: 0.0000 
ep/it:290- 379 niter:111450  544m 30s (- 2262m 17s) completed: 19%) loss_emb: 0.0000  loss: 1.2772  loss_TTT: 0.0343  acc: 0.6231  lr: 0.0000 
Validation time:
Validation loss:1.483, accuracy:0.586
ep/it:291-  46 niter:111500  544m 46s (- 2262m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.2880  loss_TTT: 0.0365  acc: 0.6212  lr: 0.0000 
ep/it:291-  96 niter:111550  545m 1s (- 2261m 57s) completed: 19%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0347  acc: 0.6220  lr: 0.0000 
ep/it:291- 146 niter:111600  545m 16s (- 2261m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.2972  loss_TTT: 0.0364  acc: 0.6185  lr: 0.0000 
ep/it:291- 196 niter:111650  545m 31s (- 2261m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0368  acc: 0.6229  lr: 0.0000 
ep/it:291- 246 niter:111700  545m 46s (- 2261m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0348  acc: 0.6201  lr: 0.0000 
ep/it:291- 296 niter:111750  546m 0s (- 2260m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.2966  loss_TTT: 0.0345  acc: 0.6189  lr: 0.0000 
ep/it:291- 346 niter:111800  546m 15s (- 2260m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.2765  loss_TTT: 0.0360  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.507, accuracy:0.579
ep/it:292-  13 niter:111850  546m 32s (- 2260m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.2948  loss_TTT: 0.0360  acc: 0.6191  lr: 0.0000 
ep/it:292-  63 niter:111900  546m 47s (- 2260m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.2856  loss_TTT: 0.0345  acc: 0.6219  lr: 0.0000 
ep/it:292- 113 niter:111950  547m 0s (- 2260m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.2867  loss_TTT: 0.0360  acc: 0.6223  lr: 0.0000 
ep/it:292- 163 niter:112000  547m 15s (- 2259m 51s) completed: 19%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0350  acc: 0.6204  lr: 0.0000 
ep/it:292- 213 niter:112050  547m 30s (- 2259m 38s) completed: 19%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0367  acc: 0.6231  lr: 0.0000 
ep/it:292- 263 niter:112100  547m 44s (- 2259m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0344  acc: 0.6173  lr: 0.0000 
ep/it:292- 313 niter:112150  547m 58s (- 2259m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0333  acc: 0.6202  lr: 0.0000 
ep/it:292- 363 niter:112200  548m 12s (- 2258m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0352  acc: 0.6237  lr: 0.0000 
Validation time:
Validation loss:1.479, accuracy:0.587
ep/it:293-  30 niter:112250  548m 29s (- 2258m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.3000  loss_TTT: 0.0350  acc: 0.6177  lr: 0.0000 
ep/it:293-  80 niter:112300  548m 44s (- 2258m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.2988  loss_TTT: 0.0359  acc: 0.6175  lr: 0.0000 
ep/it:293- 130 niter:112350  548m 59s (- 2258m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0336  acc: 0.6246  lr: 0.0000 
ep/it:293- 180 niter:112400  549m 14s (- 2258m 1s) completed: 19%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0339  acc: 0.6221  lr: 0.0000 
ep/it:293- 230 niter:112450  549m 29s (- 2257m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0345  acc: 0.6192  lr: 0.0000 
ep/it:293- 280 niter:112500  549m 44s (- 2257m 36s) completed: 19%) loss_emb: 0.0000  loss: 1.3141  loss_TTT: 0.0355  acc: 0.6146  lr: 0.0000 
ep/it:293- 330 niter:112550  549m 59s (- 2257m 22s) completed: 19%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0342  acc: 0.6296  lr: 0.0000 
ep/it:293- 380 niter:112600  550m 14s (- 2257m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0339  acc: 0.6225  lr: 0.0000 
Validation time:
Validation loss:1.480, accuracy:0.588
ep/it:294-  47 niter:112650  550m 31s (- 2257m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.2963  loss_TTT: 0.0356  acc: 0.6185  lr: 0.0000 
ep/it:294-  97 niter:112700  550m 45s (- 2256m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2959  loss_TTT: 0.0342  acc: 0.6191  lr: 0.0000 
ep/it:294- 147 niter:112750  551m 0s (- 2256m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2811  loss_TTT: 0.0341  acc: 0.6227  lr: 0.0000 
ep/it:294- 197 niter:112800  551m 15s (- 2256m 20s) completed: 19%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0338  acc: 0.6206  lr: 0.0000 
ep/it:294- 247 niter:112850  551m 29s (- 2256m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.2864  loss_TTT: 0.0363  acc: 0.6213  lr: 0.0000 
ep/it:294- 297 niter:112900  551m 43s (- 2255m 46s) completed: 19%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0341  acc: 0.6251  lr: 0.0000 
ep/it:294- 347 niter:112950  551m 58s (- 2255m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0357  acc: 0.6276  lr: 0.0000 
Validation time:
Validation loss:1.471, accuracy:0.589
ep/it:295-  14 niter:113000  552m 16s (- 2255m 30s) completed: 19%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0354  acc: 0.6222  lr: 0.0000 
ep/it:295-  64 niter:113050  552m 31s (- 2255m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.2824  loss_TTT: 0.0351  acc: 0.6230  lr: 0.0000 
ep/it:295- 114 niter:113100  552m 45s (- 2255m 1s) completed: 19%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0356  acc: 0.6253  lr: 0.0000 
ep/it:295- 164 niter:113150  553m 0s (- 2254m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0359  acc: 0.6211  lr: 0.0000 
ep/it:295- 214 niter:113200  553m 15s (- 2254m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0344  acc: 0.6312  lr: 0.0000 
ep/it:295- 264 niter:113250  553m 29s (- 2254m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0342  acc: 0.6233  lr: 0.0000 
ep/it:295- 314 niter:113300  553m 44s (- 2254m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.2788  loss_TTT: 0.0361  acc: 0.6232  lr: 0.0000 
ep/it:295- 364 niter:113350  553m 58s (- 2253m 47s) completed: 19%) loss_emb: 0.0000  loss: 1.2880  loss_TTT: 0.0341  acc: 0.6212  lr: 0.0000 
Validation time:
Validation loss:1.484, accuracy:0.585
ep/it:296-  31 niter:113400  554m 15s (- 2253m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0346  acc: 0.6271  lr: 0.0000 
ep/it:296-  81 niter:113450  554m 30s (- 2253m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.2841  loss_TTT: 0.0369  acc: 0.6223  lr: 0.0000 
ep/it:296- 131 niter:113500  554m 45s (- 2253m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.2881  loss_TTT: 0.0351  acc: 0.6204  lr: 0.0000 
ep/it:296- 181 niter:113550  554m 59s (- 2252m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0358  acc: 0.6269  lr: 0.0000 
ep/it:296- 231 niter:113600  555m 14s (- 2252m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0347  acc: 0.6295  lr: 0.0000 
ep/it:296- 281 niter:113650  555m 29s (- 2252m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0360  acc: 0.6291  lr: 0.0000 
ep/it:296- 331 niter:113700  555m 43s (- 2252m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0334  acc: 0.6254  lr: 0.0000 
ep/it:296- 381 niter:113750  555m 57s (- 2251m 56s) completed: 19%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0331  acc: 0.6237  lr: 0.0000 
Validation time:
Validation loss:1.495, accuracy:0.582
ep/it:297-  48 niter:113800  556m 14s (- 2251m 51s) completed: 19%) loss_emb: 0.0000  loss: 1.2960  loss_TTT: 0.0357  acc: 0.6190  lr: 0.0000 
ep/it:297-  98 niter:113850  556m 29s (- 2251m 35s) completed: 19%) loss_emb: 0.0000  loss: 1.2616  loss_TTT: 0.0334  acc: 0.6283  lr: 0.0000 
ep/it:297- 148 niter:113900  556m 43s (- 2251m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.2958  loss_TTT: 0.0348  acc: 0.6193  lr: 0.0000 
ep/it:297- 198 niter:113950  556m 58s (- 2251m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.3027  loss_TTT: 0.0359  acc: 0.6172  lr: 0.0000 
ep/it:297- 248 niter:114000  557m 12s (- 2250m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0342  acc: 0.6259  lr: 0.0000 
ep/it:297- 298 niter:114050  557m 27s (- 2250m 37s) completed: 19%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0359  acc: 0.6236  lr: 0.0000 
ep/it:297- 348 niter:114100  557m 42s (- 2250m 23s) completed: 19%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0336  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.600
ep/it:298-  15 niter:114150  557m 59s (- 2250m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0336  acc: 0.6291  lr: 0.0000 
ep/it:298-  65 niter:114200  558m 14s (- 2250m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.2996  loss_TTT: 0.0355  acc: 0.6173  lr: 0.0000 
ep/it:298- 115 niter:114250  558m 28s (- 2249m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0354  acc: 0.6247  lr: 0.0000 
ep/it:298- 165 niter:114300  558m 43s (- 2249m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0340  acc: 0.6263  lr: 0.0000 
ep/it:298- 215 niter:114350  558m 57s (- 2249m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.3015  loss_TTT: 0.0347  acc: 0.6178  lr: 0.0000 
ep/it:298- 265 niter:114400  559m 12s (- 2249m 2s) completed: 19%) loss_emb: 0.0000  loss: 1.3119  loss_TTT: 0.0362  acc: 0.6160  lr: 0.0000 
ep/it:298- 315 niter:114450  559m 26s (- 2248m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0345  acc: 0.6212  lr: 0.0000 
ep/it:298- 365 niter:114500  559m 40s (- 2248m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0320  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.469, accuracy:0.589
ep/it:299-  32 niter:114550  559m 58s (- 2248m 25s) completed: 19%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0359  acc: 0.6267  lr: 0.0000 
ep/it:299-  82 niter:114600  560m 12s (- 2248m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.2985  loss_TTT: 0.0364  acc: 0.6189  lr: 0.0000 
ep/it:299- 132 niter:114650  560m 28s (- 2247m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.3041  loss_TTT: 0.0357  acc: 0.6174  lr: 0.0000 
ep/it:299- 182 niter:114700  560m 43s (- 2247m 46s) completed: 19%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0349  acc: 0.6229  lr: 0.0000 
ep/it:299- 232 niter:114750  560m 57s (- 2247m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.2394  loss_TTT: 0.0338  acc: 0.6341  lr: 0.0000 
ep/it:299- 282 niter:114800  561m 12s (- 2247m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.2923  loss_TTT: 0.0357  acc: 0.6199  lr: 0.0000 
ep/it:299- 332 niter:114850  561m 27s (- 2247m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0342  acc: 0.6258  lr: 0.0000 
ep/it:299- 382 niter:114900  561m 42s (- 2246m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.2817  loss_TTT: 0.0361  acc: 0.6222  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.602

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.60it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.17it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.66it/s]
100%|██████████| 47/47 [00:05<00:00,  7.90it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4666399410925806 avg: 2.4666399410925806
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4564688238315284 avg: 2.4615543824620545
--> 	 Eva. Repeat 22 :, FID. 0.1210, Diversity Real. 9.5060, Diversity. 9.5751, R_precision_real. [0.51464844 0.7109375  0.81445312], R_precision. [0.50585938 0.70410156 0.79980469], matching_score_real. 2.8304, matching_score_pred. 2.9228, skate_ratio. 0.0465, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5312 (traj_fail_50cm (Traj err)): 0.3027 (kps_fail_20cm): 0.3810 (kps_fail_50cm (Loc. err)): 0.1986 (kps_mean_err(m) (Avg. err)): 0.3761 
ep/it:300-  49 niter:114950  562m 6s (- 2247m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0347  acc: 0.6251  lr: 0.0000 
ep/it:300-  99 niter:115000  562m 21s (- 2246m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0358  acc: 0.6248  lr: 0.0000 
ep/it:300- 149 niter:115050  562m 36s (- 2246m 44s) completed: 20%) loss_emb: 0.0000  loss: 1.2960  loss_TTT: 0.0353  acc: 0.6197  lr: 0.0000 
ep/it:300- 199 niter:115100  562m 50s (- 2246m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.2898  loss_TTT: 0.0364  acc: 0.6206  lr: 0.0000 
ep/it:300- 249 niter:115150  563m 4s (- 2246m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.2902  loss_TTT: 0.0342  acc: 0.6201  lr: 0.0000 
ep/it:300- 299 niter:115200  563m 18s (- 2245m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.3032  loss_TTT: 0.0349  acc: 0.6165  lr: 0.0000 
ep/it:300- 349 niter:115250  563m 33s (- 2245m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0349  acc: 0.6195  lr: 0.0000 
Validation time:
Validation loss:1.472, accuracy:0.589
ep/it:301-  16 niter:115300  563m 50s (- 2245m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0353  acc: 0.6261  lr: 0.0000 
ep/it:301-  66 niter:115350  564m 5s (- 2245m 22s) completed: 20%) loss_emb: 0.0000  loss: 1.3049  loss_TTT: 0.0354  acc: 0.6159  lr: 0.0000 
ep/it:301- 116 niter:115400  564m 19s (- 2245m 5s) completed: 20%) loss_emb: 0.0000  loss: 1.2884  loss_TTT: 0.0360  acc: 0.6204  lr: 0.0000 
ep/it:301- 166 niter:115450  564m 34s (- 2244m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0344  acc: 0.6166  lr: 0.0000 
ep/it:301- 216 niter:115500  564m 49s (- 2244m 37s) completed: 20%) loss_emb: 0.0000  loss: 1.2777  loss_TTT: 0.0351  acc: 0.6231  lr: 0.0000 
ep/it:301- 266 niter:115550  565m 4s (- 2244m 24s) completed: 20%) loss_emb: 0.0000  loss: 1.2993  loss_TTT: 0.0347  acc: 0.6186  lr: 0.0000 
ep/it:301- 316 niter:115600  565m 19s (- 2244m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.2751  loss_TTT: 0.0339  acc: 0.6240  lr: 0.0000 
ep/it:301- 366 niter:115650  565m 34s (- 2243m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0369  acc: 0.6311  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.600
ep/it:302-  33 niter:115700  565m 52s (- 2243m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.2913  loss_TTT: 0.0350  acc: 0.6199  lr: 0.0000 
ep/it:302-  83 niter:115750  566m 6s (- 2243m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.2832  loss_TTT: 0.0347  acc: 0.6216  lr: 0.0000 
ep/it:302- 133 niter:115800  566m 21s (- 2243m 23s) completed: 20%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0359  acc: 0.6210  lr: 0.0000 
ep/it:302- 183 niter:115850  566m 35s (- 2243m 6s) completed: 20%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0352  acc: 0.6219  lr: 0.0000 
ep/it:302- 233 niter:115900  566m 49s (- 2242m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0368  acc: 0.6214  lr: 0.0000 
ep/it:302- 283 niter:115950  567m 3s (- 2242m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.2935  loss_TTT: 0.0331  acc: 0.6196  lr: 0.0000 
ep/it:302- 333 niter:116000  567m 17s (- 2242m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.2816  loss_TTT: 0.0351  acc: 0.6233  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.599
ep/it:303-   0 niter:116050  567m 34s (- 2242m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.3080  loss_TTT: 0.0362  acc: 0.6149  lr: 0.0000 
ep/it:303-  50 niter:116100  567m 48s (- 2241m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.2786  loss_TTT: 0.0356  acc: 0.6234  lr: 0.0000 
ep/it:303- 100 niter:116150  568m 3s (- 2241m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0341  acc: 0.6266  lr: 0.0000 
ep/it:303- 150 niter:116200  568m 17s (- 2241m 22s) completed: 20%) loss_emb: 0.0000  loss: 1.2700  loss_TTT: 0.0351  acc: 0.6256  lr: 0.0000 
ep/it:303- 200 niter:116250  568m 32s (- 2241m 8s) completed: 20%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0353  acc: 0.6270  lr: 0.0000 
ep/it:303- 250 niter:116300  568m 46s (- 2240m 52s) completed: 20%) loss_emb: 0.0000  loss: 1.2876  loss_TTT: 0.0357  acc: 0.6199  lr: 0.0000 
ep/it:303- 300 niter:116350  569m 1s (- 2240m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.3056  loss_TTT: 0.0341  acc: 0.6163  lr: 0.0000 
ep/it:303- 350 niter:116400  569m 15s (- 2240m 22s) completed: 20%) loss_emb: 0.0000  loss: 1.2895  loss_TTT: 0.0339  acc: 0.6220  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.600
ep/it:304-  17 niter:116450  569m 33s (- 2240m 18s) completed: 20%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0344  acc: 0.6232  lr: 0.0000 
ep/it:304-  67 niter:116500  569m 47s (- 2240m 2s) completed: 20%) loss_emb: 0.0000  loss: 1.2913  loss_TTT: 0.0335  acc: 0.6205  lr: 0.0000 
ep/it:304- 117 niter:116550  570m 2s (- 2239m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0344  acc: 0.6252  lr: 0.0000 
ep/it:304- 167 niter:116600  570m 16s (- 2239m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.2935  loss_TTT: 0.0350  acc: 0.6191  lr: 0.0000 
ep/it:304- 217 niter:116650  570m 31s (- 2239m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.2842  loss_TTT: 0.0350  acc: 0.6239  lr: 0.0000 
ep/it:304- 267 niter:116700  570m 45s (- 2239m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0356  acc: 0.6206  lr: 0.0000 
ep/it:304- 317 niter:116750  571m 0s (- 2238m 47s) completed: 20%) loss_emb: 0.0000  loss: 1.2728  loss_TTT: 0.0332  acc: 0.6256  lr: 0.0000 
ep/it:304- 367 niter:116800  571m 14s (- 2238m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0352  acc: 0.6271  lr: 0.0000 
Validation time:
Validation loss:1.499, accuracy:0.581
ep/it:305-  34 niter:116850  571m 32s (- 2238m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0364  acc: 0.6232  lr: 0.0000 
ep/it:305-  84 niter:116900  571m 47s (- 2238m 14s) completed: 20%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0358  acc: 0.6287  lr: 0.0000 
ep/it:305- 134 niter:116950  572m 1s (- 2237m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.2854  loss_TTT: 0.0337  acc: 0.6205  lr: 0.0000 
ep/it:305- 184 niter:117000  572m 16s (- 2237m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.2913  loss_TTT: 0.0343  acc: 0.6197  lr: 0.0000 
ep/it:305- 234 niter:117050  572m 31s (- 2237m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.2880  loss_TTT: 0.0340  acc: 0.6218  lr: 0.0000 
ep/it:305- 284 niter:117100  572m 46s (- 2237m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.3067  loss_TTT: 0.0356  acc: 0.6163  lr: 0.0000 
ep/it:305- 334 niter:117150  573m 1s (- 2237m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0348  acc: 0.6238  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.593
ep/it:306-   1 niter:117200  573m 18s (- 2236m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.3117  loss_TTT: 0.0335  acc: 0.6138  lr: 0.0000 
ep/it:306-  51 niter:117250  573m 32s (- 2236m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.3182  loss_TTT: 0.0374  acc: 0.6122  lr: 0.0000 
ep/it:306- 101 niter:117300  573m 46s (- 2236m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0337  acc: 0.6269  lr: 0.0000 
ep/it:306- 151 niter:117350  574m 1s (- 2236m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0345  acc: 0.6254  lr: 0.0000 
ep/it:306- 201 niter:117400  574m 15s (- 2235m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.3033  loss_TTT: 0.0358  acc: 0.6173  lr: 0.0000 
ep/it:306- 251 niter:117450  574m 30s (- 2235m 39s) completed: 20%) loss_emb: 0.0000  loss: 1.2941  loss_TTT: 0.0350  acc: 0.6191  lr: 0.0000 
ep/it:306- 301 niter:117500  574m 45s (- 2235m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0355  acc: 0.6243  lr: 0.0000 
ep/it:306- 351 niter:117550  575m 0s (- 2235m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0347  acc: 0.6205  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.592
ep/it:307-  18 niter:117600  575m 18s (- 2235m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0345  acc: 0.6200  lr: 0.0000 
ep/it:307-  68 niter:117650  575m 32s (- 2234m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.3064  loss_TTT: 0.0344  acc: 0.6157  lr: 0.0000 
ep/it:307- 118 niter:117700  575m 47s (- 2234m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.2849  loss_TTT: 0.0337  acc: 0.6212  lr: 0.0000 
ep/it:307- 168 niter:117750  576m 1s (- 2234m 23s) completed: 20%) loss_emb: 0.0000  loss: 1.2987  loss_TTT: 0.0350  acc: 0.6184  lr: 0.0000 
ep/it:307- 218 niter:117800  576m 15s (- 2234m 6s) completed: 20%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0348  acc: 0.6235  lr: 0.0000 
ep/it:307- 268 niter:117850  576m 29s (- 2233m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0341  acc: 0.6248  lr: 0.0000 
ep/it:307- 318 niter:117900  576m 43s (- 2233m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0357  acc: 0.6237  lr: 0.0000 
ep/it:307- 368 niter:117950  576m 58s (- 2233m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0352  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.594
ep/it:308-  35 niter:118000  577m 15s (- 2233m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0338  acc: 0.6191  lr: 0.0000 
ep/it:308-  85 niter:118050  577m 29s (- 2232m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0350  acc: 0.6222  lr: 0.0000 
ep/it:308- 135 niter:118100  577m 43s (- 2232m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.2930  loss_TTT: 0.0346  acc: 0.6204  lr: 0.0000 
ep/it:308- 185 niter:118150  577m 57s (- 2232m 21s) completed: 20%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0335  acc: 0.6286  lr: 0.0000 
ep/it:308- 235 niter:118200  578m 11s (- 2232m 4s) completed: 20%) loss_emb: 0.0000  loss: 1.2716  loss_TTT: 0.0354  acc: 0.6251  lr: 0.0000 
ep/it:308- 285 niter:118250  578m 26s (- 2231m 47s) completed: 20%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0343  acc: 0.6225  lr: 0.0000 
ep/it:308- 335 niter:118300  578m 40s (- 2231m 31s) completed: 20%) loss_emb: 0.0000  loss: 1.2777  loss_TTT: 0.0359  acc: 0.6226  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.601
ep/it:309-   2 niter:118350  578m 57s (- 2231m 24s) completed: 20%) loss_emb: 0.0000  loss: 1.2629  loss_TTT: 0.0354  acc: 0.6270  lr: 0.0000 
ep/it:309-  52 niter:118400  579m 11s (- 2231m 8s) completed: 20%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0348  acc: 0.6254  lr: 0.0000 
ep/it:309- 102 niter:118450  579m 25s (- 2230m 52s) completed: 20%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0351  acc: 0.6265  lr: 0.0000 
ep/it:309- 152 niter:118500  579m 39s (- 2230m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.2885  loss_TTT: 0.0343  acc: 0.6199  lr: 0.0000 
ep/it:309- 202 niter:118550  579m 53s (- 2230m 18s) completed: 20%) loss_emb: 0.0000  loss: 1.2982  loss_TTT: 0.0348  acc: 0.6190  lr: 0.0000 
ep/it:309- 252 niter:118600  580m 7s (- 2230m 1s) completed: 20%) loss_emb: 0.0000  loss: 1.2837  loss_TTT: 0.0354  acc: 0.6214  lr: 0.0000 
ep/it:309- 302 niter:118650  580m 22s (- 2229m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.2999  loss_TTT: 0.0353  acc: 0.6163  lr: 0.0000 
ep/it:309- 352 niter:118700  580m 36s (- 2229m 28s) completed: 20%) loss_emb: 0.0000  loss: 1.2842  loss_TTT: 0.0349  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.591

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.78it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.24it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.52it/s]
100%|██████████| 47/47 [00:06<00:00,  7.69it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4565048487856984 avg: 2.4565048487856984
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4550451156683266 avg: 2.4557749822270125
--> 	 Eva. Repeat 22 :, FID. 0.1157, Diversity Real. 9.7674, Diversity. 9.7354, R_precision_real. [0.52441406 0.69921875 0.80371094], R_precision. [0.49707031 0.69433594 0.79589844], matching_score_real. 2.9371, matching_score_pred. 2.9930, skate_ratio. 0.0454, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5049 (traj_fail_50cm (Traj err)): 0.2871 (kps_fail_20cm): 0.3693 (kps_fail_50cm (Loc. err)): 0.2029 (kps_mean_err(m) (Avg. err)): 0.3562 
ep/it:310-  19 niter:118750  581m 0s (- 2229m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.3144  loss_TTT: 0.0343  acc: 0.6138  lr: 0.0000 
ep/it:310-  69 niter:118800  581m 14s (- 2229m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.2887  loss_TTT: 0.0347  acc: 0.6204  lr: 0.0000 
ep/it:310- 119 niter:118850  581m 28s (- 2229m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0323  acc: 0.6311  lr: 0.0000 
ep/it:310- 169 niter:118900  581m 43s (- 2229m 2s) completed: 20%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0358  acc: 0.6282  lr: 0.0000 
ep/it:310- 219 niter:118950  581m 57s (- 2228m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0353  acc: 0.6298  lr: 0.0000 
ep/it:310- 269 niter:119000  582m 11s (- 2228m 30s) completed: 20%) loss_emb: 0.0000  loss: 1.2882  loss_TTT: 0.0359  acc: 0.6205  lr: 0.0000 
ep/it:310- 319 niter:119050  582m 26s (- 2228m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0334  acc: 0.6263  lr: 0.0000 
ep/it:310- 369 niter:119100  582m 41s (- 2228m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0351  acc: 0.6250  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.602
ep/it:311-  36 niter:119150  582m 57s (- 2227m 53s) completed: 20%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0353  acc: 0.6233  lr: 0.0000 
ep/it:311-  86 niter:119200  583m 12s (- 2227m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0343  acc: 0.6227  lr: 0.0000 
ep/it:311- 136 niter:119250  583m 26s (- 2227m 19s) completed: 20%) loss_emb: 0.0000  loss: 1.2890  loss_TTT: 0.0348  acc: 0.6205  lr: 0.0000 
ep/it:311- 186 niter:119300  583m 40s (- 2227m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.2895  loss_TTT: 0.0346  acc: 0.6205  lr: 0.0000 
ep/it:311- 236 niter:119350  583m 54s (- 2226m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0342  acc: 0.6217  lr: 0.0000 
ep/it:311- 286 niter:119400  584m 8s (- 2226m 30s) completed: 20%) loss_emb: 0.0000  loss: 1.2715  loss_TTT: 0.0345  acc: 0.6253  lr: 0.0000 
ep/it:311- 336 niter:119450  584m 22s (- 2226m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.2640  loss_TTT: 0.0351  acc: 0.6268  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.598
ep/it:312-   3 niter:119500  584m 39s (- 2226m 5s) completed: 20%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0357  acc: 0.6252  lr: 0.0000 
ep/it:312-  53 niter:119550  584m 54s (- 2225m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.2844  loss_TTT: 0.0343  acc: 0.6228  lr: 0.0000 
ep/it:312- 103 niter:119600  585m 8s (- 2225m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.2980  loss_TTT: 0.0370  acc: 0.6181  lr: 0.0000 
ep/it:312- 153 niter:119650  585m 22s (- 2225m 18s) completed: 20%) loss_emb: 0.0000  loss: 1.2898  loss_TTT: 0.0342  acc: 0.6202  lr: 0.0000 
ep/it:312- 203 niter:119700  585m 36s (- 2225m 1s) completed: 20%) loss_emb: 0.0000  loss: 1.2799  loss_TTT: 0.0346  acc: 0.6231  lr: 0.0000 
ep/it:312- 253 niter:119750  585m 51s (- 2224m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.2904  loss_TTT: 0.0360  acc: 0.6200  lr: 0.0000 
ep/it:312- 303 niter:119800  586m 5s (- 2224m 29s) completed: 20%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0354  acc: 0.6221  lr: 0.0000 
ep/it:312- 353 niter:119850  586m 19s (- 2224m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.3045  loss_TTT: 0.0344  acc: 0.6163  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.591
ep/it:313-  20 niter:119900  586m 37s (- 2224m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0345  acc: 0.6257  lr: 0.0000 
ep/it:313-  70 niter:119950  586m 51s (- 2223m 53s) completed: 20%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0352  acc: 0.6213  lr: 0.0000 
ep/it:313- 120 niter:120000  587m 6s (- 2223m 39s) completed: 20%) loss_emb: 0.0000  loss: 1.3231  loss_TTT: 0.0352  acc: 0.6116  lr: 0.0000 
ep/it:313- 170 niter:120050  587m 21s (- 2223m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.3024  loss_TTT: 0.0338  acc: 0.6160  lr: 0.0000 
ep/it:313- 220 niter:120100  587m 35s (- 2223m 8s) completed: 20%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0361  acc: 0.6242  lr: 0.0000 
ep/it:313- 270 niter:120150  587m 49s (- 2222m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0356  acc: 0.6203  lr: 0.0000 
ep/it:313- 320 niter:120200  588m 3s (- 2222m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.3025  loss_TTT: 0.0333  acc: 0.6159  lr: 0.0000 
ep/it:313- 370 niter:120250  588m 17s (- 2222m 18s) completed: 20%) loss_emb: 0.0000  loss: 1.3029  loss_TTT: 0.0351  acc: 0.6167  lr: 0.0000 
Validation time:
Validation loss:1.472, accuracy:0.588
ep/it:314-  37 niter:120300  588m 35s (- 2222m 14s) completed: 20%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0350  acc: 0.6215  lr: 0.0000 
ep/it:314-  87 niter:120350  588m 50s (- 2222m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0343  acc: 0.6274  lr: 0.0000 
ep/it:314- 137 niter:120400  589m 4s (- 2221m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.2853  loss_TTT: 0.0347  acc: 0.6219  lr: 0.0000 
ep/it:314- 187 niter:120450  589m 18s (- 2221m 29s) completed: 20%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0342  acc: 0.6229  lr: 0.0000 
ep/it:314- 237 niter:120500  589m 33s (- 2221m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.2804  loss_TTT: 0.0346  acc: 0.6235  lr: 0.0000 
ep/it:314- 287 niter:120550  589m 48s (- 2221m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0335  acc: 0.6250  lr: 0.0000 
ep/it:314- 337 niter:120600  590m 3s (- 2220m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.2873  loss_TTT: 0.0371  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.504, accuracy:0.580
ep/it:315-   4 niter:120650  590m 20s (- 2220m 42s) completed: 21%) loss_emb: 0.0000  loss: 1.2884  loss_TTT: 0.0342  acc: 0.6199  lr: 0.0000 
ep/it:315-  54 niter:120700  590m 35s (- 2220m 28s) completed: 21%) loss_emb: 0.0000  loss: 1.2929  loss_TTT: 0.0355  acc: 0.6185  lr: 0.0000 
ep/it:315- 104 niter:120750  590m 50s (- 2220m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.3151  loss_TTT: 0.0343  acc: 0.6126  lr: 0.0000 
ep/it:315- 154 niter:120800  591m 4s (- 2219m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0345  acc: 0.6206  lr: 0.0000 
ep/it:315- 204 niter:120850  591m 19s (- 2219m 45s) completed: 21%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0359  acc: 0.6263  lr: 0.0000 
ep/it:315- 254 niter:120900  591m 34s (- 2219m 28s) completed: 21%) loss_emb: 0.0000  loss: 1.2977  loss_TTT: 0.0328  acc: 0.6177  lr: 0.0000 
ep/it:315- 304 niter:120950  591m 48s (- 2219m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0345  acc: 0.6210  lr: 0.0000 
ep/it:315- 354 niter:121000  592m 3s (- 2218m 59s) completed: 21%) loss_emb: 0.0000  loss: 1.2638  loss_TTT: 0.0357  acc: 0.6273  lr: 0.0000 
Validation time:
Validation loss:1.487, accuracy:0.583
ep/it:316-  21 niter:121050  592m 21s (- 2218m 55s) completed: 21%) loss_emb: 0.0000  loss: 1.2937  loss_TTT: 0.0351  acc: 0.6195  lr: 0.0000 
ep/it:316-  71 niter:121100  592m 35s (- 2218m 40s) completed: 21%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0344  acc: 0.6255  lr: 0.0000 
ep/it:316- 121 niter:121150  592m 50s (- 2218m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0338  acc: 0.6269  lr: 0.0000 
ep/it:316- 171 niter:121200  593m 4s (- 2218m 9s) completed: 21%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0333  acc: 0.6302  lr: 0.0000 
ep/it:316- 221 niter:121250  593m 19s (- 2217m 54s) completed: 21%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0354  acc: 0.6244  lr: 0.0000 
ep/it:316- 271 niter:121300  593m 33s (- 2217m 39s) completed: 21%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0345  acc: 0.6249  lr: 0.0000 
ep/it:316- 321 niter:121350  593m 48s (- 2217m 24s) completed: 21%) loss_emb: 0.0000  loss: 1.2858  loss_TTT: 0.0348  acc: 0.6217  lr: 0.0000 
ep/it:316- 371 niter:121400  594m 2s (- 2217m 7s) completed: 21%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0334  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.592
ep/it:317-  38 niter:121450  594m 19s (- 2217m 1s) completed: 21%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0359  acc: 0.6280  lr: 0.0000 
ep/it:317-  88 niter:121500  594m 33s (- 2216m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0348  acc: 0.6277  lr: 0.0000 
ep/it:317- 138 niter:121550  594m 48s (- 2216m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0331  acc: 0.6221  lr: 0.0000 
ep/it:317- 188 niter:121600  595m 2s (- 2216m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0341  acc: 0.6306  lr: 0.0000 
ep/it:317- 238 niter:121650  595m 16s (- 2215m 55s) completed: 21%) loss_emb: 0.0000  loss: 1.2616  loss_TTT: 0.0373  acc: 0.6283  lr: 0.0000 
ep/it:317- 288 niter:121700  595m 30s (- 2215m 38s) completed: 21%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0355  acc: 0.6214  lr: 0.0000 
ep/it:317- 338 niter:121750  595m 44s (- 2215m 21s) completed: 21%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0361  acc: 0.6283  lr: 0.0000 
Validation time:
Validation loss:1.456, accuracy:0.592
ep/it:318-   5 niter:121800  596m 0s (- 2215m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0359  acc: 0.6252  lr: 0.0000 
ep/it:318-  55 niter:121850  596m 14s (- 2214m 56s) completed: 21%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0323  acc: 0.6234  lr: 0.0000 
ep/it:318- 105 niter:121900  596m 29s (- 2214m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0347  acc: 0.6191  lr: 0.0000 
ep/it:318- 155 niter:121950  596m 43s (- 2214m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0348  acc: 0.6205  lr: 0.0000 
ep/it:318- 205 niter:122000  596m 57s (- 2214m 8s) completed: 21%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0359  acc: 0.6256  lr: 0.0000 
ep/it:318- 255 niter:122050  597m 12s (- 2213m 53s) completed: 21%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0349  acc: 0.6294  lr: 0.0000 
ep/it:318- 305 niter:122100  597m 26s (- 2213m 37s) completed: 21%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0340  acc: 0.6273  lr: 0.0000 
ep/it:318- 355 niter:122150  597m 40s (- 2213m 20s) completed: 21%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0354  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.595
ep/it:319-  22 niter:122200  597m 57s (- 2213m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0339  acc: 0.6222  lr: 0.0000 
ep/it:319-  72 niter:122250  598m 11s (- 2212m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.3056  loss_TTT: 0.0355  acc: 0.6147  lr: 0.0000 
ep/it:319- 122 niter:122300  598m 26s (- 2212m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0357  acc: 0.6253  lr: 0.0000 
ep/it:319- 172 niter:122350  598m 41s (- 2212m 29s) completed: 21%) loss_emb: 0.0000  loss: 1.2859  loss_TTT: 0.0362  acc: 0.6203  lr: 0.0000 
ep/it:319- 222 niter:122400  598m 56s (- 2212m 14s) completed: 21%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0341  acc: 0.6287  lr: 0.0000 
ep/it:319- 272 niter:122450  599m 10s (- 2211m 59s) completed: 21%) loss_emb: 0.0000  loss: 1.2767  loss_TTT: 0.0338  acc: 0.6231  lr: 0.0000 
ep/it:319- 322 niter:122500  599m 25s (- 2211m 44s) completed: 21%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0334  acc: 0.6244  lr: 0.0000 
ep/it:319- 372 niter:122550  599m 40s (- 2211m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.3039  loss_TTT: 0.0347  acc: 0.6164  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.95it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.42it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.72it/s]
100%|██████████| 47/47 [00:05<00:00,  8.06it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.455571918748319 avg: 2.455571918748319
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4650970990769565 avg: 2.460334508912638
--> 	 Eva. Repeat 22 :, FID. 0.1175, Diversity Real. 9.1963, Diversity. 9.6137, R_precision_real. [0.50195312 0.69628906 0.79492188], R_precision. [0.50878906 0.71679688 0.81445312], matching_score_real. 2.8966, matching_score_pred. 2.9141, skate_ratio. 0.0463, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5225 (traj_fail_50cm (Traj err)): 0.2910 (kps_fail_20cm): 0.3741 (kps_fail_50cm (Loc. err)): 0.1994 (kps_mean_err(m) (Avg. err)): 0.3544 
ep/it:320-  39 niter:122600  600m 3s (- 2211m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.2939  loss_TTT: 0.0356  acc: 0.6185  lr: 0.0000 
ep/it:320-  89 niter:122650  600m 18s (- 2211m 34s) completed: 21%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0351  acc: 0.6226  lr: 0.0000 
ep/it:320- 139 niter:122700  600m 33s (- 2211m 21s) completed: 21%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0356  acc: 0.6287  lr: 0.0000 
ep/it:320- 189 niter:122750  600m 47s (- 2211m 4s) completed: 21%) loss_emb: 0.0000  loss: 1.3073  loss_TTT: 0.0359  acc: 0.6149  lr: 0.0000 
ep/it:320- 239 niter:122800  601m 1s (- 2210m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0345  acc: 0.6310  lr: 0.0000 
ep/it:320- 289 niter:122850  601m 16s (- 2210m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.3061  loss_TTT: 0.0357  acc: 0.6162  lr: 0.0000 
ep/it:320- 339 niter:122900  601m 30s (- 2210m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0344  acc: 0.6298  lr: 0.0000 
Validation time:
Validation loss:1.457, accuracy:0.590
ep/it:321-   6 niter:122950  601m 47s (- 2210m 9s) completed: 21%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0343  acc: 0.6259  lr: 0.0000 
ep/it:321-  56 niter:123000  602m 2s (- 2209m 55s) completed: 21%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0349  acc: 0.6196  lr: 0.0000 
ep/it:321- 106 niter:123050  602m 17s (- 2209m 42s) completed: 21%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0344  acc: 0.6180  lr: 0.0000 
ep/it:321- 156 niter:123100  602m 31s (- 2209m 27s) completed: 21%) loss_emb: 0.0000  loss: 1.3085  loss_TTT: 0.0346  acc: 0.6152  lr: 0.0000 
ep/it:321- 206 niter:123150  602m 46s (- 2209m 12s) completed: 21%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0347  acc: 0.6229  lr: 0.0000 
ep/it:321- 256 niter:123200  603m 1s (- 2208m 57s) completed: 21%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0339  acc: 0.6246  lr: 0.0000 
ep/it:321- 306 niter:123250  603m 15s (- 2208m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.2982  loss_TTT: 0.0380  acc: 0.6193  lr: 0.0000 
ep/it:321- 356 niter:123300  603m 30s (- 2208m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.2755  loss_TTT: 0.0357  acc: 0.6246  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.595
ep/it:322-  23 niter:123350  603m 47s (- 2208m 21s) completed: 21%) loss_emb: 0.0000  loss: 1.2970  loss_TTT: 0.0353  acc: 0.6187  lr: 0.0000 
ep/it:322-  73 niter:123400  604m 2s (- 2208m 7s) completed: 21%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0353  acc: 0.6217  lr: 0.0000 
ep/it:322- 123 niter:123450  604m 16s (- 2207m 51s) completed: 21%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0350  acc: 0.6237  lr: 0.0000 
ep/it:322- 173 niter:123500  604m 31s (- 2207m 36s) completed: 21%) loss_emb: 0.0000  loss: 1.2976  loss_TTT: 0.0341  acc: 0.6174  lr: 0.0000 
ep/it:322- 223 niter:123550  604m 45s (- 2207m 21s) completed: 21%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0356  acc: 0.6299  lr: 0.0000 
ep/it:322- 273 niter:123600  605m 0s (- 2207m 4s) completed: 21%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0343  acc: 0.6288  lr: 0.0000 
ep/it:322- 323 niter:123650  605m 14s (- 2206m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0348  acc: 0.6213  lr: 0.0000 
ep/it:322- 373 niter:123700  605m 28s (- 2206m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0339  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.597
ep/it:323-  40 niter:123750  605m 45s (- 2206m 27s) completed: 21%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0338  acc: 0.6278  lr: 0.0000 
ep/it:323-  90 niter:123800  606m 0s (- 2206m 11s) completed: 21%) loss_emb: 0.0000  loss: 1.2590  loss_TTT: 0.0339  acc: 0.6279  lr: 0.0000 
ep/it:323- 140 niter:123850  606m 14s (- 2205m 55s) completed: 21%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0350  acc: 0.6244  lr: 0.0000 
ep/it:323- 190 niter:123900  606m 28s (- 2205m 38s) completed: 21%) loss_emb: 0.0000  loss: 1.2932  loss_TTT: 0.0345  acc: 0.6184  lr: 0.0000 
ep/it:323- 240 niter:123950  606m 42s (- 2205m 21s) completed: 21%) loss_emb: 0.0000  loss: 1.3001  loss_TTT: 0.0338  acc: 0.6171  lr: 0.0000 
ep/it:323- 290 niter:124000  606m 56s (- 2205m 4s) completed: 21%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0347  acc: 0.6201  lr: 0.0000 
ep/it:323- 340 niter:124050  607m 11s (- 2204m 49s) completed: 21%) loss_emb: 0.0000  loss: 1.3095  loss_TTT: 0.0371  acc: 0.6154  lr: 0.0000 
Validation time:
Validation loss:1.458, accuracy:0.591
ep/it:324-   7 niter:124100  607m 28s (- 2204m 45s) completed: 21%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0346  acc: 0.6264  lr: 0.0000 
ep/it:324-  57 niter:124150  607m 43s (- 2204m 30s) completed: 21%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0353  acc: 0.6201  lr: 0.0000 
ep/it:324- 107 niter:124200  607m 58s (- 2204m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0349  acc: 0.6291  lr: 0.0000 
ep/it:324- 157 niter:124250  608m 13s (- 2204m 1s) completed: 21%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0344  acc: 0.6216  lr: 0.0000 
ep/it:324- 207 niter:124300  608m 27s (- 2203m 45s) completed: 21%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0341  acc: 0.6251  lr: 0.0000 
ep/it:324- 257 niter:124350  608m 41s (- 2203m 28s) completed: 21%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0339  acc: 0.6215  lr: 0.0000 
ep/it:324- 307 niter:124400  608m 56s (- 2203m 13s) completed: 21%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0351  acc: 0.6324  lr: 0.0000 
ep/it:324- 357 niter:124450  609m 10s (- 2202m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0351  acc: 0.6245  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.592
ep/it:325-  24 niter:124500  609m 27s (- 2202m 52s) completed: 21%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0343  acc: 0.6254  lr: 0.0000 
ep/it:325-  74 niter:124550  609m 43s (- 2202m 40s) completed: 21%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0341  acc: 0.6218  lr: 0.0000 
ep/it:325- 124 niter:124600  609m 58s (- 2202m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.2992  loss_TTT: 0.0354  acc: 0.6178  lr: 0.0000 
ep/it:325- 174 niter:124650  610m 12s (- 2202m 9s) completed: 21%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0353  acc: 0.6244  lr: 0.0000 
ep/it:325- 224 niter:124700  610m 26s (- 2201m 55s) completed: 21%) loss_emb: 0.0000  loss: 1.3264  loss_TTT: 0.0355  acc: 0.6105  lr: 0.0000 
ep/it:325- 274 niter:124750  610m 41s (- 2201m 40s) completed: 21%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0366  acc: 0.6271  lr: 0.0000 
ep/it:325- 324 niter:124800  610m 55s (- 2201m 23s) completed: 21%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0355  acc: 0.6192  lr: 0.0000 
ep/it:325- 374 niter:124850  611m 10s (- 2201m 8s) completed: 21%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0348  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.590
ep/it:326-  41 niter:124900  611m 27s (- 2201m 3s) completed: 21%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0336  acc: 0.6280  lr: 0.0000 
ep/it:326-  91 niter:124950  611m 42s (- 2200m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.2956  loss_TTT: 0.0355  acc: 0.6183  lr: 0.0000 
ep/it:326- 141 niter:125000  611m 57s (- 2200m 36s) completed: 21%) loss_emb: 0.0000  loss: 1.2949  loss_TTT: 0.0346  acc: 0.6175  lr: 0.0000 
ep/it:326- 191 niter:125050  612m 12s (- 2200m 24s) completed: 21%) loss_emb: 0.0000  loss: 1.2447  loss_TTT: 0.0357  acc: 0.6329  lr: 0.0000 
ep/it:326- 241 niter:125100  612m 27s (- 2200m 10s) completed: 21%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0343  acc: 0.6232  lr: 0.0000 
ep/it:326- 291 niter:125150  612m 42s (- 2199m 56s) completed: 21%) loss_emb: 0.0000  loss: 1.3084  loss_TTT: 0.0353  acc: 0.6155  lr: 0.0000 
ep/it:326- 341 niter:125200  612m 57s (- 2199m 42s) completed: 21%) loss_emb: 0.0000  loss: 1.2795  loss_TTT: 0.0343  acc: 0.6221  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.598
ep/it:327-   8 niter:125250  613m 15s (- 2199m 39s) completed: 21%) loss_emb: 0.0000  loss: 1.3177  loss_TTT: 0.0365  acc: 0.6135  lr: 0.0000 
ep/it:327-  58 niter:125300  613m 29s (- 2199m 22s) completed: 21%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0336  acc: 0.6250  lr: 0.0000 
ep/it:327- 108 niter:125350  613m 43s (- 2199m 5s) completed: 21%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0351  acc: 0.6202  lr: 0.0000 
ep/it:327- 158 niter:125400  613m 57s (- 2198m 47s) completed: 21%) loss_emb: 0.0000  loss: 1.2803  loss_TTT: 0.0353  acc: 0.6232  lr: 0.0000 
ep/it:327- 208 niter:125450  614m 11s (- 2198m 30s) completed: 21%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0346  acc: 0.6216  lr: 0.0000 
ep/it:327- 258 niter:125500  614m 25s (- 2198m 14s) completed: 21%) loss_emb: 0.0000  loss: 1.2939  loss_TTT: 0.0356  acc: 0.6201  lr: 0.0000 
ep/it:327- 308 niter:125550  614m 40s (- 2197m 59s) completed: 21%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0347  acc: 0.6243  lr: 0.0000 
ep/it:327- 358 niter:125600  614m 54s (- 2197m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.2813  loss_TTT: 0.0364  acc: 0.6231  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:328-  25 niter:125650  615m 11s (- 2197m 34s) completed: 21%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0334  acc: 0.6284  lr: 0.0000 
ep/it:328-  75 niter:125700  615m 25s (- 2197m 17s) completed: 21%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0368  acc: 0.6254  lr: 0.0000 
ep/it:328- 125 niter:125750  615m 39s (- 2197m 0s) completed: 21%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0333  acc: 0.6271  lr: 0.0000 
ep/it:328- 175 niter:125800  615m 53s (- 2196m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0332  acc: 0.6262  lr: 0.0000 
ep/it:328- 225 niter:125850  616m 7s (- 2196m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.2761  loss_TTT: 0.0351  acc: 0.6235  lr: 0.0000 
ep/it:328- 275 niter:125900  616m 21s (- 2196m 11s) completed: 21%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0361  acc: 0.6269  lr: 0.0000 
ep/it:328- 325 niter:125950  616m 35s (- 2195m 54s) completed: 21%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0361  acc: 0.6208  lr: 0.0000 
ep/it:328- 375 niter:126000  616m 50s (- 2195m 39s) completed: 21%) loss_emb: 0.0000  loss: 1.3004  loss_TTT: 0.0347  acc: 0.6189  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.598
ep/it:329-  42 niter:126050  617m 7s (- 2195m 32s) completed: 21%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0338  acc: 0.6299  lr: 0.0000 
ep/it:329-  92 niter:126100  617m 21s (- 2195m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0330  acc: 0.6283  lr: 0.0000 
ep/it:329- 142 niter:126150  617m 35s (- 2195m 0s) completed: 21%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0349  acc: 0.6269  lr: 0.0000 
ep/it:329- 192 niter:126200  617m 50s (- 2194m 45s) completed: 21%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0333  acc: 0.6279  lr: 0.0000 
ep/it:329- 242 niter:126250  618m 5s (- 2194m 30s) completed: 21%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0345  acc: 0.6226  lr: 0.0000 
ep/it:329- 292 niter:126300  618m 19s (- 2194m 14s) completed: 21%) loss_emb: 0.0000  loss: 1.2946  loss_TTT: 0.0346  acc: 0.6194  lr: 0.0000 
ep/it:329- 342 niter:126350  618m 33s (- 2193m 58s) completed: 21%) loss_emb: 0.0000  loss: 1.2777  loss_TTT: 0.0358  acc: 0.6240  lr: 0.0000 
Validation time:
Validation loss:1.404, accuracy:0.606
Improved accuracy from 0.61 to 0.6064009614612745!!!

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.83it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.27it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.61it/s]
100%|██████████| 47/47 [00:06<00:00,  7.82it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.45991845196113 avg: 2.45991845196113
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.520401475019753 avg: 2.4901599634904414
--> 	 Eva. Repeat 22 :, FID. 0.1199, Diversity Real. 9.6365, Diversity. 9.7415, R_precision_real. [0.51074219 0.70214844 0.77929688], R_precision. [0.48925781 0.69726562 0.79492188], matching_score_real. 2.9451, matching_score_pred. 2.9985, skate_ratio. 0.0443, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5186 (traj_fail_50cm (Traj err)): 0.2998 (kps_fail_20cm): 0.3658 (kps_fail_50cm (Loc. err)): 0.1923 (kps_mean_err(m) (Avg. err)): 0.3534 
ep/it:330-   9 niter:126400  618m 58s (- 2194m 19s) completed: 22%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0347  acc: 0.6207  lr: 0.0000 
ep/it:330-  59 niter:126450  619m 12s (- 2194m 3s) completed: 22%) loss_emb: 0.0000  loss: 1.2958  loss_TTT: 0.0351  acc: 0.6177  lr: 0.0000 
ep/it:330- 109 niter:126500  619m 27s (- 2193m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.2980  loss_TTT: 0.0344  acc: 0.6178  lr: 0.0000 
ep/it:330- 159 niter:126550  619m 41s (- 2193m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.2873  loss_TTT: 0.0350  acc: 0.6208  lr: 0.0000 
ep/it:330- 209 niter:126600  619m 56s (- 2193m 18s) completed: 22%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0342  acc: 0.6215  lr: 0.0000 
ep/it:330- 259 niter:126650  620m 10s (- 2193m 2s) completed: 22%) loss_emb: 0.0000  loss: 1.2977  loss_TTT: 0.0358  acc: 0.6180  lr: 0.0000 
ep/it:330- 309 niter:126700  620m 24s (- 2192m 44s) completed: 22%) loss_emb: 0.0000  loss: 1.3108  loss_TTT: 0.0338  acc: 0.6139  lr: 0.0000 
ep/it:330- 359 niter:126750  620m 39s (- 2192m 29s) completed: 22%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0342  acc: 0.6238  lr: 0.0000 
Validation time:
Validation loss:1.419, accuracy:0.601
ep/it:331-  26 niter:126800  620m 56s (- 2192m 24s) completed: 22%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0343  acc: 0.6226  lr: 0.0000 
ep/it:331-  76 niter:126850  621m 11s (- 2192m 8s) completed: 22%) loss_emb: 0.0000  loss: 1.2832  loss_TTT: 0.0340  acc: 0.6227  lr: 0.0000 
ep/it:331- 126 niter:126900  621m 25s (- 2191m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.2902  loss_TTT: 0.0347  acc: 0.6216  lr: 0.0000 
ep/it:331- 176 niter:126950  621m 39s (- 2191m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.2887  loss_TTT: 0.0340  acc: 0.6217  lr: 0.0000 
ep/it:331- 226 niter:127000  621m 53s (- 2191m 18s) completed: 22%) loss_emb: 0.0000  loss: 1.2873  loss_TTT: 0.0327  acc: 0.6212  lr: 0.0000 
ep/it:331- 276 niter:127050  622m 7s (- 2191m 3s) completed: 22%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0356  acc: 0.6254  lr: 0.0000 
ep/it:331- 326 niter:127100  622m 22s (- 2190m 46s) completed: 22%) loss_emb: 0.0000  loss: 1.2478  loss_TTT: 0.0341  acc: 0.6317  lr: 0.0000 
ep/it:331- 376 niter:127150  622m 36s (- 2190m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0343  acc: 0.6199  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.595
ep/it:332-  43 niter:127200  622m 53s (- 2190m 24s) completed: 22%) loss_emb: 0.0000  loss: 1.2942  loss_TTT: 0.0359  acc: 0.6192  lr: 0.0000 
ep/it:332-  93 niter:127250  623m 7s (- 2190m 8s) completed: 22%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0331  acc: 0.6237  lr: 0.0000 
ep/it:332- 143 niter:127300  623m 22s (- 2189m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0329  acc: 0.6293  lr: 0.0000 
ep/it:332- 193 niter:127350  623m 36s (- 2189m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0340  acc: 0.6278  lr: 0.0000 
ep/it:332- 243 niter:127400  623m 50s (- 2189m 19s) completed: 22%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0353  acc: 0.6217  lr: 0.0000 
ep/it:332- 293 niter:127450  624m 4s (- 2189m 1s) completed: 22%) loss_emb: 0.0000  loss: 1.2882  loss_TTT: 0.0363  acc: 0.6196  lr: 0.0000 
ep/it:332- 343 niter:127500  624m 18s (- 2188m 45s) completed: 22%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0340  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.594
ep/it:333-  10 niter:127550  624m 36s (- 2188m 41s) completed: 22%) loss_emb: 0.0000  loss: 1.2820  loss_TTT: 0.0338  acc: 0.6219  lr: 0.0000 
ep/it:333-  60 niter:127600  624m 51s (- 2188m 27s) completed: 22%) loss_emb: 0.0000  loss: 1.3045  loss_TTT: 0.0348  acc: 0.6170  lr: 0.0000 
ep/it:333- 110 niter:127650  625m 5s (- 2188m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.2760  loss_TTT: 0.0348  acc: 0.6238  lr: 0.0000 
ep/it:333- 160 niter:127700  625m 20s (- 2187m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0343  acc: 0.6224  lr: 0.0000 
ep/it:333- 210 niter:127750  625m 34s (- 2187m 41s) completed: 22%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0343  acc: 0.6252  lr: 0.0000 
ep/it:333- 260 niter:127800  625m 49s (- 2187m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0327  acc: 0.6259  lr: 0.0000 
ep/it:333- 310 niter:127850  626m 4s (- 2187m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.3188  loss_TTT: 0.0350  acc: 0.6121  lr: 0.0000 
ep/it:333- 360 niter:127900  626m 19s (- 2186m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.2905  loss_TTT: 0.0355  acc: 0.6197  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.590
ep/it:334-  27 niter:127950  626m 36s (- 2186m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0357  acc: 0.6233  lr: 0.0000 
ep/it:334-  77 niter:128000  626m 51s (- 2186m 40s) completed: 22%) loss_emb: 0.0000  loss: 1.2931  loss_TTT: 0.0343  acc: 0.6192  lr: 0.0000 
ep/it:334- 127 niter:128050  627m 6s (- 2186m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0347  acc: 0.6235  lr: 0.0000 
ep/it:334- 177 niter:128100  627m 21s (- 2186m 12s) completed: 22%) loss_emb: 0.0000  loss: 1.2925  loss_TTT: 0.0353  acc: 0.6181  lr: 0.0000 
ep/it:334- 227 niter:128150  627m 36s (- 2185m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.2970  loss_TTT: 0.0346  acc: 0.6185  lr: 0.0000 
ep/it:334- 277 niter:128200  627m 51s (- 2185m 45s) completed: 22%) loss_emb: 0.0000  loss: 1.2814  loss_TTT: 0.0345  acc: 0.6219  lr: 0.0000 
ep/it:334- 327 niter:128250  628m 6s (- 2185m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0343  acc: 0.6236  lr: 0.0000 
ep/it:334- 377 niter:128300  628m 20s (- 2185m 14s) completed: 22%) loss_emb: 0.0000  loss: 1.2714  loss_TTT: 0.0348  acc: 0.6272  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593
ep/it:335-  44 niter:128350  628m 37s (- 2185m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0340  acc: 0.6220  lr: 0.0000 
ep/it:335-  94 niter:128400  628m 51s (- 2184m 51s) completed: 22%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0346  acc: 0.6220  lr: 0.0000 
ep/it:335- 144 niter:128450  629m 6s (- 2184m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.2842  loss_TTT: 0.0338  acc: 0.6217  lr: 0.0000 
ep/it:335- 194 niter:128500  629m 20s (- 2184m 19s) completed: 22%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0337  acc: 0.6215  lr: 0.0000 
ep/it:335- 244 niter:128550  629m 34s (- 2184m 1s) completed: 22%) loss_emb: 0.0000  loss: 1.3146  loss_TTT: 0.0336  acc: 0.6133  lr: 0.0000 
ep/it:335- 294 niter:128600  629m 48s (- 2183m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0344  acc: 0.6257  lr: 0.0000 
ep/it:335- 344 niter:128650  630m 3s (- 2183m 32s) completed: 22%) loss_emb: 0.0000  loss: 1.2860  loss_TTT: 0.0360  acc: 0.6222  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.598
ep/it:336-  11 niter:128700  630m 20s (- 2183m 26s) completed: 22%) loss_emb: 0.0000  loss: 1.2992  loss_TTT: 0.0326  acc: 0.6162  lr: 0.0000 
ep/it:336-  61 niter:128750  630m 35s (- 2183m 10s) completed: 22%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0320  acc: 0.6271  lr: 0.0000 
ep/it:336- 111 niter:128800  630m 50s (- 2182m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0349  acc: 0.6198  lr: 0.0000 
ep/it:336- 161 niter:128850  631m 5s (- 2182m 42s) completed: 22%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0350  acc: 0.6248  lr: 0.0000 
ep/it:336- 211 niter:128900  631m 19s (- 2182m 27s) completed: 22%) loss_emb: 0.0000  loss: 1.2805  loss_TTT: 0.0356  acc: 0.6224  lr: 0.0000 
ep/it:336- 261 niter:128950  631m 33s (- 2182m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0344  acc: 0.6221  lr: 0.0000 
ep/it:336- 311 niter:129000  631m 48s (- 2181m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0341  acc: 0.6239  lr: 0.0000 
ep/it:336- 361 niter:129050  632m 2s (- 2181m 39s) completed: 22%) loss_emb: 0.0000  loss: 1.2476  loss_TTT: 0.0345  acc: 0.6311  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.592
ep/it:337-  28 niter:129100  632m 19s (- 2181m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0352  acc: 0.6209  lr: 0.0000 
ep/it:337-  78 niter:129150  632m 34s (- 2181m 18s) completed: 22%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0363  acc: 0.6228  lr: 0.0000 
ep/it:337- 128 niter:129200  632m 49s (- 2181m 3s) completed: 22%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0347  acc: 0.6303  lr: 0.0000 
ep/it:337- 178 niter:129250  633m 4s (- 2180m 50s) completed: 22%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0341  acc: 0.6252  lr: 0.0000 
ep/it:337- 228 niter:129300  633m 19s (- 2180m 39s) completed: 22%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0343  acc: 0.6219  lr: 0.0000 
ep/it:337- 278 niter:129350  633m 34s (- 2180m 24s) completed: 22%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0338  acc: 0.6238  lr: 0.0000 
ep/it:337- 328 niter:129400  633m 49s (- 2180m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.2894  loss_TTT: 0.0341  acc: 0.6197  lr: 0.0000 
ep/it:337- 378 niter:129450  634m 4s (- 2179m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0346  acc: 0.6207  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.603
ep/it:338-  45 niter:129500  634m 22s (- 2179m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0345  acc: 0.6222  lr: 0.0000 
ep/it:338-  95 niter:129550  634m 36s (- 2179m 38s) completed: 22%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0345  acc: 0.6234  lr: 0.0000 
ep/it:338- 145 niter:129600  634m 51s (- 2179m 22s) completed: 22%) loss_emb: 0.0000  loss: 1.2731  loss_TTT: 0.0344  acc: 0.6251  lr: 0.0000 
ep/it:338- 195 niter:129650  635m 5s (- 2179m 7s) completed: 22%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0349  acc: 0.6262  lr: 0.0000 
ep/it:338- 245 niter:129700  635m 20s (- 2178m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.2968  loss_TTT: 0.0348  acc: 0.6187  lr: 0.0000 
ep/it:338- 295 niter:129750  635m 35s (- 2178m 39s) completed: 22%) loss_emb: 0.0000  loss: 1.2716  loss_TTT: 0.0354  acc: 0.6257  lr: 0.0000 
ep/it:338- 345 niter:129800  635m 50s (- 2178m 25s) completed: 22%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0337  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.592
ep/it:339-  12 niter:129850  636m 8s (- 2178m 21s) completed: 22%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0333  acc: 0.6212  lr: 0.0000 
ep/it:339-  62 niter:129900  636m 23s (- 2178m 8s) completed: 22%) loss_emb: 0.0000  loss: 1.2814  loss_TTT: 0.0330  acc: 0.6223  lr: 0.0000 
ep/it:339- 112 niter:129950  636m 38s (- 2177m 53s) completed: 22%) loss_emb: 0.0000  loss: 1.3066  loss_TTT: 0.0357  acc: 0.6151  lr: 0.0000 
ep/it:339- 162 niter:130000  636m 52s (- 2177m 36s) completed: 22%) loss_emb: 0.0000  loss: 1.2944  loss_TTT: 0.0356  acc: 0.6183  lr: 0.0000 
ep/it:339- 212 niter:130050  637m 6s (- 2177m 20s) completed: 22%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0345  acc: 0.6267  lr: 0.0000 
ep/it:339- 262 niter:130100  637m 21s (- 2177m 7s) completed: 22%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0335  acc: 0.6278  lr: 0.0000 
ep/it:339- 312 niter:130150  637m 36s (- 2176m 52s) completed: 22%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0343  acc: 0.6236  lr: 0.0000 
ep/it:339- 362 niter:130200  637m 50s (- 2176m 37s) completed: 22%) loss_emb: 0.0000  loss: 1.2715  loss_TTT: 0.0340  acc: 0.6253  lr: 0.0000 
Validation time:
Validation loss:1.493, accuracy:0.582

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100%|██████████| 47/47 [00:06<00:00,  7.60it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4545410247519612 avg: 2.4545410247519612
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.451641507912427 avg: 2.453091266332194
--> 	 Eva. Repeat 22 :, FID. 0.1098, Diversity Real. 9.3934, Diversity. 10.1632, R_precision_real. [0.50878906 0.69238281 0.79003906], R_precision. [0.50195312 0.6796875  0.77734375], matching_score_real. 2.9221, matching_score_pred. 2.9847, skate_ratio. 0.0504, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5098 (traj_fail_50cm (Traj err)): 0.2979 (kps_fail_20cm): 0.3653 (kps_fail_50cm (Loc. err)): 0.2036 (kps_mean_err(m) (Avg. err)): 0.3631 
ep/it:340-  29 niter:130250  638m 15s (- 2176m 55s) completed: 22%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0359  acc: 0.6233  lr: 0.0000 
ep/it:340-  79 niter:130300  638m 29s (- 2176m 39s) completed: 22%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0341  acc: 0.6322  lr: 0.0000 
ep/it:340- 129 niter:130350  638m 43s (- 2176m 23s) completed: 22%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0355  acc: 0.6220  lr: 0.0000 
ep/it:340- 179 niter:130400  638m 57s (- 2176m 5s) completed: 22%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0345  acc: 0.6293  lr: 0.0000 
ep/it:340- 229 niter:130450  639m 11s (- 2175m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.2904  loss_TTT: 0.0337  acc: 0.6200  lr: 0.0000 
ep/it:340- 279 niter:130500  639m 25s (- 2175m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.2786  loss_TTT: 0.0356  acc: 0.6242  lr: 0.0000 
ep/it:340- 329 niter:130550  639m 39s (- 2175m 15s) completed: 22%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0350  acc: 0.6201  lr: 0.0000 
ep/it:340- 379 niter:130600  639m 53s (- 2174m 56s) completed: 22%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0334  acc: 0.6245  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.596
ep/it:341-  46 niter:130650  640m 10s (- 2174m 50s) completed: 22%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0330  acc: 0.6209  lr: 0.0000 
ep/it:341-  96 niter:130700  640m 25s (- 2174m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.2418  loss_TTT: 0.0348  acc: 0.6331  lr: 0.0000 
ep/it:341- 146 niter:130750  640m 39s (- 2174m 17s) completed: 22%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0343  acc: 0.6271  lr: 0.0000 
ep/it:341- 196 niter:130800  640m 53s (- 2174m 2s) completed: 22%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0331  acc: 0.6271  lr: 0.0000 
ep/it:341- 246 niter:130850  641m 8s (- 2173m 47s) completed: 22%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0341  acc: 0.6216  lr: 0.0000 
ep/it:341- 296 niter:130900  641m 22s (- 2173m 31s) completed: 22%) loss_emb: 0.0000  loss: 1.2638  loss_TTT: 0.0346  acc: 0.6259  lr: 0.0000 
ep/it:341- 346 niter:130950  641m 36s (- 2173m 15s) completed: 22%) loss_emb: 0.0000  loss: 1.2679  loss_TTT: 0.0363  acc: 0.6254  lr: 0.0000 
Validation time:
Validation loss:1.483, accuracy:0.585
ep/it:342-  13 niter:131000  641m 54s (- 2173m 11s) completed: 22%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0356  acc: 0.6190  lr: 0.0000 
ep/it:342-  63 niter:131050  642m 9s (- 2172m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0347  acc: 0.6252  lr: 0.0000 
ep/it:342- 113 niter:131100  642m 24s (- 2172m 41s) completed: 22%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0336  acc: 0.6210  lr: 0.0000 
ep/it:342- 163 niter:131150  642m 38s (- 2172m 27s) completed: 22%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0360  acc: 0.6261  lr: 0.0000 
ep/it:342- 213 niter:131200  642m 53s (- 2172m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0343  acc: 0.6219  lr: 0.0000 
ep/it:342- 263 niter:131250  643m 8s (- 2171m 57s) completed: 22%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0342  acc: 0.6268  lr: 0.0000 
ep/it:342- 313 niter:131300  643m 23s (- 2171m 43s) completed: 22%) loss_emb: 0.0000  loss: 1.3059  loss_TTT: 0.0342  acc: 0.6155  lr: 0.0000 
ep/it:342- 363 niter:131350  643m 37s (- 2171m 29s) completed: 22%) loss_emb: 0.0000  loss: 1.2959  loss_TTT: 0.0336  acc: 0.6181  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.591
ep/it:343-  30 niter:131400  643m 54s (- 2171m 22s) completed: 22%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0334  acc: 0.6241  lr: 0.0000 
ep/it:343-  80 niter:131450  644m 9s (- 2171m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0353  acc: 0.6212  lr: 0.0000 
ep/it:343- 130 niter:131500  644m 23s (- 2170m 48s) completed: 22%) loss_emb: 0.0000  loss: 1.3067  loss_TTT: 0.0354  acc: 0.6154  lr: 0.0000 
ep/it:343- 180 niter:131550  644m 37s (- 2170m 34s) completed: 22%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0345  acc: 0.6214  lr: 0.0000 
ep/it:343- 230 niter:131600  644m 53s (- 2170m 21s) completed: 22%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0347  acc: 0.6303  lr: 0.0000 
ep/it:343- 280 niter:131650  645m 7s (- 2170m 6s) completed: 22%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0343  acc: 0.6223  lr: 0.0000 
ep/it:343- 330 niter:131700  645m 21s (- 2169m 49s) completed: 22%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0349  acc: 0.6262  lr: 0.0000 
ep/it:343- 380 niter:131750  645m 36s (- 2169m 35s) completed: 22%) loss_emb: 0.0000  loss: 1.2761  loss_TTT: 0.0351  acc: 0.6258  lr: 0.0000 
Validation time:
Validation loss:1.474, accuracy:0.588
ep/it:344-  47 niter:131800  645m 53s (- 2169m 29s) completed: 22%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0330  acc: 0.6279  lr: 0.0000 
ep/it:344-  97 niter:131850  646m 8s (- 2169m 13s) completed: 22%) loss_emb: 0.0000  loss: 1.2678  loss_TTT: 0.0350  acc: 0.6251  lr: 0.0000 
ep/it:344- 147 niter:131900  646m 22s (- 2168m 58s) completed: 22%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0340  acc: 0.6173  lr: 0.0000 
ep/it:344- 197 niter:131950  646m 37s (- 2168m 44s) completed: 22%) loss_emb: 0.0000  loss: 1.3007  loss_TTT: 0.0331  acc: 0.6171  lr: 0.0000 
ep/it:344- 247 niter:132000  646m 52s (- 2168m 30s) completed: 22%) loss_emb: 0.0000  loss: 1.2945  loss_TTT: 0.0349  acc: 0.6200  lr: 0.0000 
ep/it:344- 297 niter:132050  647m 7s (- 2168m 17s) completed: 22%) loss_emb: 0.0000  loss: 1.2949  loss_TTT: 0.0348  acc: 0.6198  lr: 0.0000 
ep/it:344- 347 niter:132100  647m 23s (- 2168m 5s) completed: 22%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0345  acc: 0.6246  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.591
ep/it:345-  14 niter:132150  647m 40s (- 2167m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0355  acc: 0.6219  lr: 0.0000 
ep/it:345-  64 niter:132200  647m 55s (- 2167m 44s) completed: 23%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0349  acc: 0.6235  lr: 0.0000 
ep/it:345- 114 niter:132250  648m 10s (- 2167m 31s) completed: 23%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0349  acc: 0.6229  lr: 0.0000 
ep/it:345- 164 niter:132300  648m 24s (- 2167m 14s) completed: 23%) loss_emb: 0.0000  loss: 1.3028  loss_TTT: 0.0341  acc: 0.6171  lr: 0.0000 
ep/it:345- 214 niter:132350  648m 38s (- 2166m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0338  acc: 0.6224  lr: 0.0000 
ep/it:345- 264 niter:132400  648m 53s (- 2166m 44s) completed: 23%) loss_emb: 0.0000  loss: 1.2973  loss_TTT: 0.0339  acc: 0.6178  lr: 0.0000 
ep/it:345- 314 niter:132450  649m 8s (- 2166m 30s) completed: 23%) loss_emb: 0.0000  loss: 1.3149  loss_TTT: 0.0366  acc: 0.6140  lr: 0.0000 
ep/it:345- 364 niter:132500  649m 23s (- 2166m 16s) completed: 23%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0335  acc: 0.6211  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.599
ep/it:346-  31 niter:132550  649m 41s (- 2166m 11s) completed: 23%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0335  acc: 0.6250  lr: 0.0000 
ep/it:346-  81 niter:132600  649m 55s (- 2165m 55s) completed: 23%) loss_emb: 0.0000  loss: 1.2934  loss_TTT: 0.0348  acc: 0.6179  lr: 0.0000 
ep/it:346- 131 niter:132650  650m 9s (- 2165m 37s) completed: 23%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0342  acc: 0.6323  lr: 0.0000 
ep/it:346- 181 niter:132700  650m 23s (- 2165m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0363  acc: 0.6195  lr: 0.0000 
ep/it:346- 231 niter:132750  650m 37s (- 2165m 4s) completed: 23%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0348  acc: 0.6280  lr: 0.0000 
ep/it:346- 281 niter:132800  650m 51s (- 2164m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0343  acc: 0.6258  lr: 0.0000 
ep/it:346- 331 niter:132850  651m 5s (- 2164m 30s) completed: 23%) loss_emb: 0.0000  loss: 1.2607  loss_TTT: 0.0329  acc: 0.6276  lr: 0.0000 
ep/it:346- 381 niter:132900  651m 20s (- 2164m 15s) completed: 23%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0328  acc: 0.6287  lr: 0.0000 
Validation time:
Validation loss:1.456, accuracy:0.592
ep/it:347-  48 niter:132950  651m 38s (- 2164m 11s) completed: 23%) loss_emb: 0.0000  loss: 1.2728  loss_TTT: 0.0348  acc: 0.6250  lr: 0.0000 
ep/it:347-  98 niter:133000  651m 52s (- 2163m 55s) completed: 23%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0332  acc: 0.6289  lr: 0.0000 
ep/it:347- 148 niter:133050  652m 7s (- 2163m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0351  acc: 0.6270  lr: 0.0000 
ep/it:347- 198 niter:133100  652m 21s (- 2163m 25s) completed: 23%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0349  acc: 0.6284  lr: 0.0000 
ep/it:347- 248 niter:133150  652m 36s (- 2163m 10s) completed: 23%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0352  acc: 0.6278  lr: 0.0000 
ep/it:347- 298 niter:133200  652m 50s (- 2162m 55s) completed: 23%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0333  acc: 0.6245  lr: 0.0000 
ep/it:347- 348 niter:133250  653m 6s (- 2162m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0348  acc: 0.6252  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.600
ep/it:348-  15 niter:133300  653m 24s (- 2162m 38s) completed: 23%) loss_emb: 0.0000  loss: 1.3001  loss_TTT: 0.0344  acc: 0.6177  lr: 0.0000 
ep/it:348-  65 niter:133350  653m 38s (- 2162m 24s) completed: 23%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0357  acc: 0.6286  lr: 0.0000 
ep/it:348- 115 niter:133400  653m 53s (- 2162m 8s) completed: 23%) loss_emb: 0.0000  loss: 1.3002  loss_TTT: 0.0334  acc: 0.6153  lr: 0.0000 
ep/it:348- 165 niter:133450  654m 8s (- 2161m 54s) completed: 23%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0343  acc: 0.6218  lr: 0.0000 
ep/it:348- 215 niter:133500  654m 22s (- 2161m 38s) completed: 23%) loss_emb: 0.0000  loss: 1.2917  loss_TTT: 0.0348  acc: 0.6198  lr: 0.0000 
ep/it:348- 265 niter:133550  654m 37s (- 2161m 23s) completed: 23%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0343  acc: 0.6312  lr: 0.0000 
ep/it:348- 315 niter:133600  654m 51s (- 2161m 6s) completed: 23%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0346  acc: 0.6240  lr: 0.0000 
ep/it:348- 365 niter:133650  655m 5s (- 2160m 49s) completed: 23%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0334  acc: 0.6212  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.599
ep/it:349-  32 niter:133700  655m 22s (- 2160m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.3007  loss_TTT: 0.0327  acc: 0.6179  lr: 0.0000 
ep/it:349-  82 niter:133750  655m 36s (- 2160m 27s) completed: 23%) loss_emb: 0.0000  loss: 1.3047  loss_TTT: 0.0364  acc: 0.6151  lr: 0.0000 
ep/it:349- 132 niter:133800  655m 51s (- 2160m 13s) completed: 23%) loss_emb: 0.0000  loss: 1.2958  loss_TTT: 0.0337  acc: 0.6186  lr: 0.0000 
ep/it:349- 182 niter:133850  656m 6s (- 2159m 59s) completed: 23%) loss_emb: 0.0000  loss: 1.2760  loss_TTT: 0.0343  acc: 0.6237  lr: 0.0000 
ep/it:349- 232 niter:133900  656m 20s (- 2159m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.2751  loss_TTT: 0.0346  acc: 0.6240  lr: 0.0000 
ep/it:349- 282 niter:133950  656m 34s (- 2159m 26s) completed: 23%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0343  acc: 0.6233  lr: 0.0000 
ep/it:349- 332 niter:134000  656m 49s (- 2159m 11s) completed: 23%) loss_emb: 0.0000  loss: 1.2871  loss_TTT: 0.0349  acc: 0.6214  lr: 0.0000 
ep/it:349- 382 niter:134050  657m 4s (- 2158m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0340  acc: 0.6263  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.597

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 34%|███▍      | 16/47 [00:03<00:06,  5.05it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.52it/s]
100%|██████████| 47/47 [00:06<00:00,  7.66it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.464470718987286 avg: 2.464470718987286
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.506744252052158 avg: 2.485607485519722
--> 	 Eva. Repeat 22 :, FID. 0.1003, Diversity Real. 9.7850, Diversity. 9.8276, R_precision_real. [0.51464844 0.70410156 0.80175781], R_precision. [0.49023438 0.69042969 0.78222656], matching_score_real. 2.8629, matching_score_pred. 2.9580, skate_ratio. 0.0485, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5312 (traj_fail_50cm (Traj err)): 0.2969 (kps_fail_20cm): 0.3798 (kps_fail_50cm (Loc. err)): 0.2029 (kps_mean_err(m) (Avg. err)): 0.3791 
ep/it:350-  49 niter:134100  657m 29s (- 2159m 15s) completed: 23%) loss_emb: 0.0000  loss: 1.2511  loss_TTT: 0.0351  acc: 0.6302  lr: 0.0000 
ep/it:350-  99 niter:134150  657m 44s (- 2159m 1s) completed: 23%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0328  acc: 0.6241  lr: 0.0000 
ep/it:350- 149 niter:134200  657m 58s (- 2158m 44s) completed: 23%) loss_emb: 0.0000  loss: 1.2924  loss_TTT: 0.0350  acc: 0.6190  lr: 0.0000 
ep/it:350- 199 niter:134250  658m 12s (- 2158m 29s) completed: 23%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0348  acc: 0.6247  lr: 0.0000 
ep/it:350- 249 niter:134300  658m 28s (- 2158m 17s) completed: 23%) loss_emb: 0.0000  loss: 1.2935  loss_TTT: 0.0357  acc: 0.6195  lr: 0.0000 
ep/it:350- 299 niter:134350  658m 42s (- 2158m 1s) completed: 23%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0336  acc: 0.6326  lr: 0.0000 
ep/it:350- 349 niter:134400  658m 56s (- 2157m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0377  acc: 0.6250  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.601
ep/it:351-  16 niter:134450  659m 13s (- 2157m 38s) completed: 23%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0334  acc: 0.6251  lr: 0.0000 
ep/it:351-  66 niter:134500  659m 27s (- 2157m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0321  acc: 0.6257  lr: 0.0000 
ep/it:351- 116 niter:134550  659m 42s (- 2157m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0354  acc: 0.6315  lr: 0.0000 
ep/it:351- 166 niter:134600  659m 56s (- 2156m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0338  acc: 0.6257  lr: 0.0000 
ep/it:351- 216 niter:134650  660m 10s (- 2156m 33s) completed: 23%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0336  acc: 0.6250  lr: 0.0000 
ep/it:351- 266 niter:134700  660m 25s (- 2156m 17s) completed: 23%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0347  acc: 0.6203  lr: 0.0000 
ep/it:351- 316 niter:134750  660m 39s (- 2156m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.2528  loss_TTT: 0.0338  acc: 0.6292  lr: 0.0000 
ep/it:351- 366 niter:134800  660m 52s (- 2155m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0357  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593
ep/it:352-  33 niter:134850  661m 9s (- 2155m 33s) completed: 23%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0330  acc: 0.6250  lr: 0.0000 
ep/it:352-  83 niter:134900  661m 23s (- 2155m 16s) completed: 23%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0333  acc: 0.6201  lr: 0.0000 
ep/it:352- 133 niter:134950  661m 37s (- 2155m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0339  acc: 0.6280  lr: 0.0000 
ep/it:352- 183 niter:135000  661m 51s (- 2154m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0367  acc: 0.6243  lr: 0.0000 
ep/it:352- 233 niter:135050  662m 6s (- 2154m 28s) completed: 23%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0360  acc: 0.6250  lr: 0.0000 
ep/it:352- 283 niter:135100  662m 20s (- 2154m 12s) completed: 23%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0346  acc: 0.6292  lr: 0.0000 
ep/it:352- 333 niter:135150  662m 34s (- 2153m 55s) completed: 23%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0344  acc: 0.6220  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.598
ep/it:353-   0 niter:135200  662m 51s (- 2153m 47s) completed: 23%) loss_emb: 0.0000  loss: 1.2509  loss_TTT: 0.0333  acc: 0.6303  lr: 0.0000 
ep/it:353-  50 niter:135250  663m 5s (- 2153m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0360  acc: 0.6220  lr: 0.0000 
ep/it:353- 100 niter:135300  663m 19s (- 2153m 14s) completed: 23%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0347  acc: 0.6212  lr: 0.0000 
ep/it:353- 150 niter:135350  663m 34s (- 2153m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0343  acc: 0.6222  lr: 0.0000 
ep/it:353- 200 niter:135400  663m 49s (- 2152m 45s) completed: 23%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0327  acc: 0.6188  lr: 0.0000 
ep/it:353- 250 niter:135450  664m 2s (- 2152m 27s) completed: 23%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0355  acc: 0.6303  lr: 0.0000 
ep/it:353- 300 niter:135500  664m 17s (- 2152m 11s) completed: 23%) loss_emb: 0.0000  loss: 1.2971  loss_TTT: 0.0344  acc: 0.6174  lr: 0.0000 
ep/it:353- 350 niter:135550  664m 32s (- 2151m 57s) completed: 23%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0347  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.412, accuracy:0.602
ep/it:354-  17 niter:135600  664m 48s (- 2151m 48s) completed: 23%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0350  acc: 0.6237  lr: 0.0000 
ep/it:354-  67 niter:135650  665m 3s (- 2151m 34s) completed: 23%) loss_emb: 0.0000  loss: 1.2603  loss_TTT: 0.0331  acc: 0.6286  lr: 0.0000 
ep/it:354- 117 niter:135700  665m 18s (- 2151m 19s) completed: 23%) loss_emb: 0.0000  loss: 1.2873  loss_TTT: 0.0348  acc: 0.6209  lr: 0.0000 
ep/it:354- 167 niter:135750  665m 32s (- 2151m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0334  acc: 0.6295  lr: 0.0000 
ep/it:354- 217 niter:135800  665m 47s (- 2150m 49s) completed: 23%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0341  acc: 0.6247  lr: 0.0000 
ep/it:354- 267 niter:135850  666m 1s (- 2150m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0333  acc: 0.6270  lr: 0.0000 
ep/it:354- 317 niter:135900  666m 15s (- 2150m 15s) completed: 23%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0356  acc: 0.6195  lr: 0.0000 
ep/it:354- 367 niter:135950  666m 29s (- 2149m 59s) completed: 23%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0353  acc: 0.6204  lr: 0.0000 
Validation time:
Validation loss:1.481, accuracy:0.588
ep/it:355-  34 niter:136000  666m 46s (- 2149m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.2733  loss_TTT: 0.0350  acc: 0.6252  lr: 0.0000 
ep/it:355-  84 niter:136050  667m 1s (- 2149m 36s) completed: 23%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0351  acc: 0.6242  lr: 0.0000 
ep/it:355- 134 niter:136100  667m 15s (- 2149m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.2679  loss_TTT: 0.0352  acc: 0.6261  lr: 0.0000 
ep/it:355- 184 niter:136150  667m 30s (- 2149m 5s) completed: 23%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0330  acc: 0.6194  lr: 0.0000 
ep/it:355- 234 niter:136200  667m 44s (- 2148m 49s) completed: 23%) loss_emb: 0.0000  loss: 1.2565  loss_TTT: 0.0330  acc: 0.6294  lr: 0.0000 
ep/it:355- 284 niter:136250  667m 59s (- 2148m 34s) completed: 23%) loss_emb: 0.0000  loss: 1.2708  loss_TTT: 0.0350  acc: 0.6250  lr: 0.0000 
ep/it:355- 334 niter:136300  668m 13s (- 2148m 19s) completed: 23%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0334  acc: 0.6201  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.602
ep/it:356-   1 niter:136350  668m 31s (- 2148m 14s) completed: 23%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0341  acc: 0.6221  lr: 0.0000 
ep/it:356-  51 niter:136400  668m 45s (- 2147m 59s) completed: 23%) loss_emb: 0.0000  loss: 1.2837  loss_TTT: 0.0343  acc: 0.6215  lr: 0.0000 
ep/it:356- 101 niter:136450  669m 1s (- 2147m 46s) completed: 23%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0349  acc: 0.6234  lr: 0.0000 
ep/it:356- 151 niter:136500  669m 15s (- 2147m 31s) completed: 23%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0339  acc: 0.6230  lr: 0.0000 
ep/it:356- 201 niter:136550  669m 30s (- 2147m 16s) completed: 23%) loss_emb: 0.0000  loss: 1.2910  loss_TTT: 0.0343  acc: 0.6197  lr: 0.0000 
ep/it:356- 251 niter:136600  669m 44s (- 2147m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0340  acc: 0.6220  lr: 0.0000 
ep/it:356- 301 niter:136650  669m 58s (- 2146m 43s) completed: 23%) loss_emb: 0.0000  loss: 1.2755  loss_TTT: 0.0344  acc: 0.6233  lr: 0.0000 
ep/it:356- 351 niter:136700  670m 12s (- 2146m 26s) completed: 23%) loss_emb: 0.0000  loss: 1.2761  loss_TTT: 0.0340  acc: 0.6240  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.598
ep/it:357-  18 niter:136750  670m 30s (- 2146m 20s) completed: 23%) loss_emb: 0.0000  loss: 1.2767  loss_TTT: 0.0352  acc: 0.6236  lr: 0.0000 
ep/it:357-  68 niter:136800  670m 45s (- 2146m 7s) completed: 23%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0335  acc: 0.6231  lr: 0.0000 
ep/it:357- 118 niter:136850  670m 59s (- 2145m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.3036  loss_TTT: 0.0354  acc: 0.6162  lr: 0.0000 
ep/it:357- 168 niter:136900  671m 13s (- 2145m 34s) completed: 23%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0335  acc: 0.6253  lr: 0.0000 
ep/it:357- 218 niter:136950  671m 28s (- 2145m 19s) completed: 23%) loss_emb: 0.0000  loss: 1.2779  loss_TTT: 0.0349  acc: 0.6233  lr: 0.0000 
ep/it:357- 268 niter:137000  671m 42s (- 2145m 3s) completed: 23%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0337  acc: 0.6232  lr: 0.0000 
ep/it:357- 318 niter:137050  671m 57s (- 2144m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0349  acc: 0.6248  lr: 0.0000 
ep/it:357- 368 niter:137100  672m 12s (- 2144m 35s) completed: 23%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0335  acc: 0.6237  lr: 0.0000 
Validation time:
Validation loss:1.466, accuracy:0.589
ep/it:358-  35 niter:137150  672m 30s (- 2144m 32s) completed: 23%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0363  acc: 0.6243  lr: 0.0000 
ep/it:358-  85 niter:137200  672m 45s (- 2144m 16s) completed: 23%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0338  acc: 0.6251  lr: 0.0000 
ep/it:358- 135 niter:137250  673m 0s (- 2144m 4s) completed: 23%) loss_emb: 0.0000  loss: 1.2728  loss_TTT: 0.0370  acc: 0.6246  lr: 0.0000 
ep/it:358- 185 niter:137300  673m 15s (- 2143m 50s) completed: 23%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0338  acc: 0.6251  lr: 0.0000 
ep/it:358- 235 niter:137350  673m 30s (- 2143m 36s) completed: 23%) loss_emb: 0.0000  loss: 1.2954  loss_TTT: 0.0351  acc: 0.6194  lr: 0.0000 
ep/it:358- 285 niter:137400  673m 45s (- 2143m 21s) completed: 23%) loss_emb: 0.0000  loss: 1.2910  loss_TTT: 0.0327  acc: 0.6193  lr: 0.0000 
ep/it:358- 335 niter:137450  674m 0s (- 2143m 7s) completed: 23%) loss_emb: 0.0000  loss: 1.2539  loss_TTT: 0.0337  acc: 0.6297  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.603
ep/it:359-   2 niter:137500  674m 17s (- 2143m 0s) completed: 23%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0340  acc: 0.6249  lr: 0.0000 
ep/it:359-  52 niter:137550  674m 32s (- 2142m 47s) completed: 23%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0332  acc: 0.6260  lr: 0.0000 
ep/it:359- 102 niter:137600  674m 46s (- 2142m 31s) completed: 23%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0364  acc: 0.6309  lr: 0.0000 
ep/it:359- 152 niter:137650  675m 0s (- 2142m 14s) completed: 23%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0344  acc: 0.6240  lr: 0.0000 
ep/it:359- 202 niter:137700  675m 15s (- 2141m 58s) completed: 23%) loss_emb: 0.0000  loss: 1.2886  loss_TTT: 0.0354  acc: 0.6198  lr: 0.0000 
ep/it:359- 252 niter:137750  675m 29s (- 2141m 42s) completed: 23%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0342  acc: 0.6206  lr: 0.0000 
ep/it:359- 302 niter:137800  675m 43s (- 2141m 24s) completed: 23%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0357  acc: 0.6248  lr: 0.0000 
ep/it:359- 352 niter:137850  675m 57s (- 2141m 8s) completed: 23%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0338  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.608
Improved accuracy from 0.61 to 0.6076447212177775!!!

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.64it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.31it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.58it/s]
100%|██████████| 47/47 [00:05<00:00,  7.86it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4566611042246222 avg: 2.4566611042246222
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5252689043991268 avg: 2.4909650043118745
--> 	 Eva. Repeat 22 :, FID. 0.1248, Diversity Real. 9.4428, Diversity. 9.7075, R_precision_real. [0.48828125 0.6796875  0.79296875], R_precision. [0.4921875  0.69042969 0.7890625 ], matching_score_real. 2.8837, matching_score_pred. 3.0462, skate_ratio. 0.0432, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5088 (traj_fail_50cm (Traj err)): 0.3057 (kps_fail_20cm): 0.3560 (kps_fail_50cm (Loc. err)): 0.1936 (kps_mean_err(m) (Avg. err)): 0.3492 
ep/it:360-  19 niter:137900  676m 21s (- 2141m 23s) completed: 24%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0343  acc: 0.6234  lr: 0.0000 
ep/it:360-  69 niter:137950  676m 36s (- 2141m 8s) completed: 24%) loss_emb: 0.0000  loss: 1.2978  loss_TTT: 0.0346  acc: 0.6184  lr: 0.0000 
ep/it:360- 119 niter:138000  676m 50s (- 2140m 53s) completed: 24%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0337  acc: 0.6257  lr: 0.0000 
ep/it:360- 169 niter:138050  677m 5s (- 2140m 40s) completed: 24%) loss_emb: 0.0000  loss: 1.2608  loss_TTT: 0.0330  acc: 0.6276  lr: 0.0000 
ep/it:360- 219 niter:138100  677m 20s (- 2140m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.2523  loss_TTT: 0.0336  acc: 0.6297  lr: 0.0000 
ep/it:360- 269 niter:138150  677m 35s (- 2140m 11s) completed: 24%) loss_emb: 0.0000  loss: 1.2994  loss_TTT: 0.0352  acc: 0.6176  lr: 0.0000 
ep/it:360- 319 niter:138200  677m 50s (- 2139m 56s) completed: 24%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0325  acc: 0.6260  lr: 0.0000 
ep/it:360- 369 niter:138250  678m 4s (- 2139m 39s) completed: 24%) loss_emb: 0.0000  loss: 1.2800  loss_TTT: 0.0342  acc: 0.6234  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:361-  36 niter:138300  678m 21s (- 2139m 33s) completed: 24%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0357  acc: 0.6222  lr: 0.0000 
ep/it:361-  86 niter:138350  678m 36s (- 2139m 17s) completed: 24%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0341  acc: 0.6280  lr: 0.0000 
ep/it:361- 136 niter:138400  678m 50s (- 2139m 3s) completed: 24%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0340  acc: 0.6269  lr: 0.0000 
ep/it:361- 186 niter:138450  679m 5s (- 2138m 48s) completed: 24%) loss_emb: 0.0000  loss: 1.2925  loss_TTT: 0.0350  acc: 0.6192  lr: 0.0000 
ep/it:361- 236 niter:138500  679m 19s (- 2138m 32s) completed: 24%) loss_emb: 0.0000  loss: 1.2796  loss_TTT: 0.0338  acc: 0.6230  lr: 0.0000 
ep/it:361- 286 niter:138550  679m 34s (- 2138m 17s) completed: 24%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0333  acc: 0.6257  lr: 0.0000 
ep/it:361- 336 niter:138600  679m 48s (- 2138m 0s) completed: 24%) loss_emb: 0.0000  loss: 1.2832  loss_TTT: 0.0354  acc: 0.6214  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.599
ep/it:362-   3 niter:138650  680m 5s (- 2137m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0353  acc: 0.6199  lr: 0.0000 
ep/it:362-  53 niter:138700  680m 19s (- 2137m 37s) completed: 24%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0344  acc: 0.6235  lr: 0.0000 
ep/it:362- 103 niter:138750  680m 34s (- 2137m 22s) completed: 24%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0361  acc: 0.6282  lr: 0.0000 
ep/it:362- 153 niter:138800  680m 49s (- 2137m 7s) completed: 24%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0343  acc: 0.6212  lr: 0.0000 
ep/it:362- 203 niter:138850  681m 4s (- 2136m 53s) completed: 24%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0329  acc: 0.6272  lr: 0.0000 
ep/it:362- 253 niter:138900  681m 18s (- 2136m 36s) completed: 24%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0334  acc: 0.6249  lr: 0.0000 
ep/it:362- 303 niter:138950  681m 32s (- 2136m 22s) completed: 24%) loss_emb: 0.0000  loss: 1.3167  loss_TTT: 0.0361  acc: 0.6143  lr: 0.0000 
ep/it:362- 353 niter:139000  681m 47s (- 2136m 6s) completed: 24%) loss_emb: 0.0000  loss: 1.2817  loss_TTT: 0.0340  acc: 0.6219  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.602
ep/it:363-  20 niter:139050  682m 4s (- 2136m 0s) completed: 24%) loss_emb: 0.0000  loss: 1.2849  loss_TTT: 0.0340  acc: 0.6208  lr: 0.0000 
ep/it:363-  70 niter:139100  682m 19s (- 2135m 45s) completed: 24%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0334  acc: 0.6261  lr: 0.0000 
ep/it:363- 120 niter:139150  682m 33s (- 2135m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0366  acc: 0.6251  lr: 0.0000 
ep/it:363- 170 niter:139200  682m 47s (- 2135m 13s) completed: 24%) loss_emb: 0.0000  loss: 1.2456  loss_TTT: 0.0345  acc: 0.6335  lr: 0.0000 
ep/it:363- 220 niter:139250  683m 2s (- 2134m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.2983  loss_TTT: 0.0356  acc: 0.6177  lr: 0.0000 
ep/it:363- 270 niter:139300  683m 16s (- 2134m 40s) completed: 24%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0349  acc: 0.6284  lr: 0.0000 
ep/it:363- 320 niter:139350  683m 31s (- 2134m 26s) completed: 24%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0340  acc: 0.6204  lr: 0.0000 
ep/it:363- 370 niter:139400  683m 45s (- 2134m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0336  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.593
ep/it:364-  37 niter:139450  684m 3s (- 2134m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0332  acc: 0.6254  lr: 0.0000 
ep/it:364-  87 niter:139500  684m 18s (- 2133m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0343  acc: 0.6270  lr: 0.0000 
ep/it:364- 137 niter:139550  684m 33s (- 2133m 37s) completed: 24%) loss_emb: 0.0000  loss: 1.2713  loss_TTT: 0.0327  acc: 0.6244  lr: 0.0000 
ep/it:364- 187 niter:139600  684m 48s (- 2133m 24s) completed: 24%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0340  acc: 0.6290  lr: 0.0000 
ep/it:364- 237 niter:139650  685m 3s (- 2133m 9s) completed: 24%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0360  acc: 0.6226  lr: 0.0000 
ep/it:364- 287 niter:139700  685m 18s (- 2132m 56s) completed: 24%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0350  acc: 0.6236  lr: 0.0000 
ep/it:364- 337 niter:139750  685m 33s (- 2132m 43s) completed: 24%) loss_emb: 0.0000  loss: 1.2896  loss_TTT: 0.0351  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.593
ep/it:365-   4 niter:139800  685m 51s (- 2132m 36s) completed: 24%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0339  acc: 0.6255  lr: 0.0000 
ep/it:365-  54 niter:139850  686m 5s (- 2132m 20s) completed: 24%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0333  acc: 0.6271  lr: 0.0000 
ep/it:365- 104 niter:139900  686m 19s (- 2132m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.2946  loss_TTT: 0.0334  acc: 0.6184  lr: 0.0000 
ep/it:365- 154 niter:139950  686m 34s (- 2131m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0350  acc: 0.6256  lr: 0.0000 
ep/it:365- 204 niter:140000  686m 48s (- 2131m 34s) completed: 24%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0339  acc: 0.6287  lr: 0.0000 
ep/it:365- 254 niter:140050  687m 4s (- 2131m 21s) completed: 24%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0339  acc: 0.6221  lr: 0.0000 
ep/it:365- 304 niter:140100  687m 18s (- 2131m 6s) completed: 24%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0351  acc: 0.6273  lr: 0.0000 
ep/it:365- 354 niter:140150  687m 32s (- 2130m 50s) completed: 24%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0352  acc: 0.6275  lr: 0.0000 
Validation time:
Validation loss:1.404, accuracy:0.606
ep/it:366-  21 niter:140200  687m 50s (- 2130m 43s) completed: 24%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0342  acc: 0.6269  lr: 0.0000 
ep/it:366-  71 niter:140250  688m 4s (- 2130m 28s) completed: 24%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0343  acc: 0.6282  lr: 0.0000 
ep/it:366- 121 niter:140300  688m 19s (- 2130m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0341  acc: 0.6201  lr: 0.0000 
ep/it:366- 171 niter:140350  688m 34s (- 2129m 58s) completed: 24%) loss_emb: 0.0000  loss: 1.2941  loss_TTT: 0.0350  acc: 0.6184  lr: 0.0000 
ep/it:366- 221 niter:140400  688m 48s (- 2129m 43s) completed: 24%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0357  acc: 0.6270  lr: 0.0000 
ep/it:366- 271 niter:140450  689m 2s (- 2129m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0330  acc: 0.6225  lr: 0.0000 
ep/it:366- 321 niter:140500  689m 17s (- 2129m 10s) completed: 24%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0364  acc: 0.6292  lr: 0.0000 
ep/it:366- 371 niter:140550  689m 31s (- 2128m 55s) completed: 24%) loss_emb: 0.0000  loss: 1.2905  loss_TTT: 0.0336  acc: 0.6204  lr: 0.0000 
Validation time:
Validation loss:1.410, accuracy:0.603
ep/it:367-  38 niter:140600  689m 48s (- 2128m 47s) completed: 24%) loss_emb: 0.0000  loss: 1.2862  loss_TTT: 0.0334  acc: 0.6202  lr: 0.0000 
ep/it:367-  88 niter:140650  690m 4s (- 2128m 35s) completed: 24%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0355  acc: 0.6201  lr: 0.0000 
ep/it:367- 138 niter:140700  690m 18s (- 2128m 19s) completed: 24%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0331  acc: 0.6265  lr: 0.0000 
ep/it:367- 188 niter:140750  690m 33s (- 2128m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0346  acc: 0.6210  lr: 0.0000 
ep/it:367- 238 niter:140800  690m 48s (- 2127m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.2545  loss_TTT: 0.0329  acc: 0.6287  lr: 0.0000 
ep/it:367- 288 niter:140850  691m 2s (- 2127m 36s) completed: 24%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0350  acc: 0.6298  lr: 0.0000 
ep/it:367- 338 niter:140900  691m 17s (- 2127m 20s) completed: 24%) loss_emb: 0.0000  loss: 1.2805  loss_TTT: 0.0342  acc: 0.6233  lr: 0.0000 
Validation time:
Validation loss:1.473, accuracy:0.589
ep/it:368-   5 niter:140950  691m 34s (- 2127m 13s) completed: 24%) loss_emb: 0.0000  loss: 1.2857  loss_TTT: 0.0374  acc: 0.6217  lr: 0.0000 
ep/it:368-  55 niter:141000  691m 49s (- 2126m 59s) completed: 24%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0345  acc: 0.6277  lr: 0.0000 
ep/it:368- 105 niter:141050  692m 4s (- 2126m 44s) completed: 24%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0334  acc: 0.6267  lr: 0.0000 
ep/it:368- 155 niter:141100  692m 19s (- 2126m 30s) completed: 24%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0348  acc: 0.6275  lr: 0.0000 
ep/it:368- 205 niter:141150  692m 34s (- 2126m 16s) completed: 24%) loss_emb: 0.0000  loss: 1.2883  loss_TTT: 0.0338  acc: 0.6211  lr: 0.0000 
ep/it:368- 255 niter:141200  692m 48s (- 2126m 2s) completed: 24%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0339  acc: 0.6284  lr: 0.0000 
ep/it:368- 305 niter:141250  693m 3s (- 2125m 46s) completed: 24%) loss_emb: 0.0000  loss: 1.2930  loss_TTT: 0.0361  acc: 0.6196  lr: 0.0000 
ep/it:368- 355 niter:141300  693m 17s (- 2125m 31s) completed: 24%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0330  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.590
ep/it:369-  22 niter:141350  693m 35s (- 2125m 26s) completed: 24%) loss_emb: 0.0000  loss: 1.2803  loss_TTT: 0.0347  acc: 0.6228  lr: 0.0000 
ep/it:369-  72 niter:141400  693m 50s (- 2125m 11s) completed: 24%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0365  acc: 0.6199  lr: 0.0000 
ep/it:369- 122 niter:141450  694m 4s (- 2124m 56s) completed: 24%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0346  acc: 0.6246  lr: 0.0000 
ep/it:369- 172 niter:141500  694m 19s (- 2124m 40s) completed: 24%) loss_emb: 0.0000  loss: 1.2337  loss_TTT: 0.0346  acc: 0.6354  lr: 0.0000 
ep/it:369- 222 niter:141550  694m 34s (- 2124m 26s) completed: 24%) loss_emb: 0.0000  loss: 1.2954  loss_TTT: 0.0325  acc: 0.6163  lr: 0.0000 
ep/it:369- 272 niter:141600  694m 49s (- 2124m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0340  acc: 0.6230  lr: 0.0000 
ep/it:369- 322 niter:141650  695m 3s (- 2123m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0340  acc: 0.6254  lr: 0.0000 
ep/it:369- 372 niter:141700  695m 18s (- 2123m 41s) completed: 24%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0341  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.457, accuracy:0.591

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.57it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.85it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.35it/s]
100%|██████████| 47/47 [00:06<00:00,  7.44it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4689857508055866 avg: 2.4689857508055866
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5103622367605567 avg: 2.4896739937830716
--> 	 Eva. Repeat 22 :, FID. 0.1237, Diversity Real. 9.3031, Diversity. 9.6258, R_precision_real. [0.52832031 0.71777344 0.80371094], R_precision. [0.49316406 0.69433594 0.79199219], matching_score_real. 2.8384, matching_score_pred. 2.9552, skate_ratio. 0.0438, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5234 (traj_fail_50cm (Traj err)): 0.3027 (kps_fail_20cm): 0.3753 (kps_fail_50cm (Loc. err)): 0.2128 (kps_mean_err(m) (Avg. err)): 0.3996 
ep/it:370-  39 niter:141750  695m 42s (- 2123m 55s) completed: 24%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0333  acc: 0.6212  lr: 0.0000 
ep/it:370-  89 niter:141800  695m 57s (- 2123m 41s) completed: 24%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0333  acc: 0.6220  lr: 0.0000 
ep/it:370- 139 niter:141850  696m 12s (- 2123m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0356  acc: 0.6207  lr: 0.0000 
ep/it:370- 189 niter:141900  696m 26s (- 2123m 12s) completed: 24%) loss_emb: 0.0000  loss: 1.2765  loss_TTT: 0.0339  acc: 0.6237  lr: 0.0000 
ep/it:370- 239 niter:141950  696m 41s (- 2122m 58s) completed: 24%) loss_emb: 0.0000  loss: 1.2708  loss_TTT: 0.0334  acc: 0.6259  lr: 0.0000 
ep/it:370- 289 niter:142000  696m 56s (- 2122m 44s) completed: 24%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0337  acc: 0.6290  lr: 0.0000 
ep/it:370- 339 niter:142050  697m 12s (- 2122m 33s) completed: 24%) loss_emb: 0.0000  loss: 1.2936  loss_TTT: 0.0349  acc: 0.6189  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.597
ep/it:371-   6 niter:142100  697m 30s (- 2122m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0326  acc: 0.6271  lr: 0.0000 
ep/it:371-  56 niter:142150  697m 44s (- 2122m 11s) completed: 24%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0331  acc: 0.6216  lr: 0.0000 
ep/it:371- 106 niter:142200  697m 59s (- 2121m 56s) completed: 24%) loss_emb: 0.0000  loss: 1.2608  loss_TTT: 0.0326  acc: 0.6260  lr: 0.0000 
ep/it:371- 156 niter:142250  698m 13s (- 2121m 41s) completed: 24%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0338  acc: 0.6290  lr: 0.0000 
ep/it:371- 206 niter:142300  698m 28s (- 2121m 25s) completed: 24%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0349  acc: 0.6277  lr: 0.0000 
ep/it:371- 256 niter:142350  698m 42s (- 2121m 8s) completed: 24%) loss_emb: 0.0000  loss: 1.2936  loss_TTT: 0.0351  acc: 0.6187  lr: 0.0000 
ep/it:371- 306 niter:142400  698m 56s (- 2120m 52s) completed: 24%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0346  acc: 0.6324  lr: 0.0000 
ep/it:371- 356 niter:142450  699m 10s (- 2120m 35s) completed: 24%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0338  acc: 0.6295  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.597
ep/it:372-  23 niter:142500  699m 27s (- 2120m 27s) completed: 24%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0341  acc: 0.6227  lr: 0.0000 
ep/it:372-  73 niter:142550  699m 42s (- 2120m 13s) completed: 24%) loss_emb: 0.0000  loss: 1.2488  loss_TTT: 0.0347  acc: 0.6313  lr: 0.0000 
ep/it:372- 123 niter:142600  699m 56s (- 2119m 56s) completed: 24%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0341  acc: 0.6226  lr: 0.0000 
ep/it:372- 173 niter:142650  700m 11s (- 2119m 41s) completed: 24%) loss_emb: 0.0000  loss: 1.2822  loss_TTT: 0.0361  acc: 0.6229  lr: 0.0000 
ep/it:372- 223 niter:142700  700m 25s (- 2119m 26s) completed: 24%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0325  acc: 0.6231  lr: 0.0000 
ep/it:372- 273 niter:142750  700m 40s (- 2119m 11s) completed: 24%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0351  acc: 0.6224  lr: 0.0000 
ep/it:372- 323 niter:142800  700m 54s (- 2118m 55s) completed: 24%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0373  acc: 0.6210  lr: 0.0000 
ep/it:372- 373 niter:142850  701m 9s (- 2118m 40s) completed: 24%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0347  acc: 0.6236  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.593
ep/it:373-  40 niter:142900  701m 26s (- 2118m 33s) completed: 24%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0337  acc: 0.6249  lr: 0.0000 
ep/it:373-  90 niter:142950  701m 41s (- 2118m 19s) completed: 24%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0334  acc: 0.6270  lr: 0.0000 
ep/it:373- 140 niter:143000  701m 56s (- 2118m 4s) completed: 24%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0356  acc: 0.6210  lr: 0.0000 
ep/it:373- 190 niter:143050  702m 11s (- 2117m 51s) completed: 24%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0337  acc: 0.6220  lr: 0.0000 
ep/it:373- 240 niter:143100  702m 25s (- 2117m 34s) completed: 24%) loss_emb: 0.0000  loss: 1.2707  loss_TTT: 0.0337  acc: 0.6250  lr: 0.0000 
ep/it:373- 290 niter:143150  702m 40s (- 2117m 19s) completed: 24%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0351  acc: 0.6285  lr: 0.0000 
ep/it:373- 340 niter:143200  702m 55s (- 2117m 5s) completed: 24%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0349  acc: 0.6224  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.594
ep/it:374-   7 niter:143250  703m 11s (- 2116m 57s) completed: 24%) loss_emb: 0.0000  loss: 1.3037  loss_TTT: 0.0347  acc: 0.6163  lr: 0.0000 
ep/it:374-  57 niter:143300  703m 26s (- 2116m 41s) completed: 24%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0349  acc: 0.6288  lr: 0.0000 
ep/it:374- 107 niter:143350  703m 41s (- 2116m 29s) completed: 24%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0339  acc: 0.6288  lr: 0.0000 
ep/it:374- 157 niter:143400  703m 56s (- 2116m 15s) completed: 24%) loss_emb: 0.0000  loss: 1.2795  loss_TTT: 0.0342  acc: 0.6234  lr: 0.0000 
ep/it:374- 207 niter:143450  704m 11s (- 2116m 0s) completed: 24%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0340  acc: 0.6242  lr: 0.0000 
ep/it:374- 257 niter:143500  704m 26s (- 2115m 46s) completed: 24%) loss_emb: 0.0000  loss: 1.2809  loss_TTT: 0.0339  acc: 0.6216  lr: 0.0000 
ep/it:374- 307 niter:143550  704m 41s (- 2115m 33s) completed: 24%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0343  acc: 0.6281  lr: 0.0000 
ep/it:374- 357 niter:143600  704m 55s (- 2115m 17s) completed: 24%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0334  acc: 0.6287  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.598
ep/it:375-  24 niter:143650  705m 14s (- 2115m 13s) completed: 25%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0342  acc: 0.6259  lr: 0.0000 
ep/it:375-  74 niter:143700  705m 29s (- 2114m 59s) completed: 25%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0341  acc: 0.6257  lr: 0.0000 
ep/it:375- 124 niter:143750  705m 43s (- 2114m 44s) completed: 25%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0329  acc: 0.6281  lr: 0.0000 
ep/it:375- 174 niter:143800  705m 57s (- 2114m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0345  acc: 0.6304  lr: 0.0000 
ep/it:375- 224 niter:143850  706m 11s (- 2114m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0343  acc: 0.6210  lr: 0.0000 
ep/it:375- 274 niter:143900  706m 25s (- 2113m 53s) completed: 25%) loss_emb: 0.0000  loss: 1.2679  loss_TTT: 0.0344  acc: 0.6245  lr: 0.0000 
ep/it:375- 324 niter:143950  706m 40s (- 2113m 38s) completed: 25%) loss_emb: 0.0000  loss: 1.2886  loss_TTT: 0.0347  acc: 0.6208  lr: 0.0000 
ep/it:375- 374 niter:144000  706m 54s (- 2113m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.2608  loss_TTT: 0.0344  acc: 0.6276  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.597
ep/it:376-  41 niter:144050  707m 12s (- 2113m 16s) completed: 25%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0360  acc: 0.6298  lr: 0.0000 
ep/it:376-  91 niter:144100  707m 26s (- 2113m 0s) completed: 25%) loss_emb: 0.0000  loss: 1.2339  loss_TTT: 0.0330  acc: 0.6349  lr: 0.0000 
ep/it:376- 141 niter:144150  707m 41s (- 2112m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.2565  loss_TTT: 0.0331  acc: 0.6287  lr: 0.0000 
ep/it:376- 191 niter:144200  707m 55s (- 2112m 30s) completed: 25%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0332  acc: 0.6231  lr: 0.0000 
ep/it:376- 241 niter:144250  708m 10s (- 2112m 15s) completed: 25%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0351  acc: 0.6262  lr: 0.0000 
ep/it:376- 291 niter:144300  708m 24s (- 2111m 59s) completed: 25%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0354  acc: 0.6268  lr: 0.0000 
ep/it:376- 341 niter:144350  708m 39s (- 2111m 42s) completed: 25%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0326  acc: 0.6258  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:377-   8 niter:144400  708m 56s (- 2111m 35s) completed: 25%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0348  acc: 0.6191  lr: 0.0000 
ep/it:377-  58 niter:144450  709m 10s (- 2111m 20s) completed: 25%) loss_emb: 0.0000  loss: 1.2745  loss_TTT: 0.0342  acc: 0.6238  lr: 0.0000 
ep/it:377- 108 niter:144500  709m 24s (- 2111m 3s) completed: 25%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0356  acc: 0.6279  lr: 0.0000 
ep/it:377- 158 niter:144550  709m 39s (- 2110m 49s) completed: 25%) loss_emb: 0.0000  loss: 1.2932  loss_TTT: 0.0331  acc: 0.6178  lr: 0.0000 
ep/it:377- 208 niter:144600  709m 54s (- 2110m 33s) completed: 25%) loss_emb: 0.0000  loss: 1.2590  loss_TTT: 0.0327  acc: 0.6277  lr: 0.0000 
ep/it:377- 258 niter:144650  710m 8s (- 2110m 17s) completed: 25%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0339  acc: 0.6193  lr: 0.0000 
ep/it:377- 308 niter:144700  710m 22s (- 2110m 1s) completed: 25%) loss_emb: 0.0000  loss: 1.2577  loss_TTT: 0.0343  acc: 0.6265  lr: 0.0000 
ep/it:377- 358 niter:144750  710m 36s (- 2109m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.2836  loss_TTT: 0.0345  acc: 0.6217  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.593
ep/it:378-  25 niter:144800  710m 53s (- 2109m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0341  acc: 0.6272  lr: 0.0000 
ep/it:378-  75 niter:144850  711m 8s (- 2109m 22s) completed: 25%) loss_emb: 0.0000  loss: 1.2911  loss_TTT: 0.0350  acc: 0.6200  lr: 0.0000 
ep/it:378- 125 niter:144900  711m 22s (- 2109m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0346  acc: 0.6255  lr: 0.0000 
ep/it:378- 175 niter:144950  711m 37s (- 2108m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0324  acc: 0.6260  lr: 0.0000 
ep/it:378- 225 niter:145000  711m 51s (- 2108m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0350  acc: 0.6203  lr: 0.0000 
ep/it:378- 275 niter:145050  712m 6s (- 2108m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0370  acc: 0.6222  lr: 0.0000 
ep/it:378- 325 niter:145100  712m 21s (- 2108m 5s) completed: 25%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0331  acc: 0.6228  lr: 0.0000 
ep/it:378- 375 niter:145150  712m 35s (- 2107m 48s) completed: 25%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0340  acc: 0.6259  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.599
ep/it:379-  42 niter:145200  712m 52s (- 2107m 43s) completed: 25%) loss_emb: 0.0000  loss: 1.2889  loss_TTT: 0.0344  acc: 0.6205  lr: 0.0000 
ep/it:379-  92 niter:145250  713m 7s (- 2107m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0335  acc: 0.6285  lr: 0.0000 
ep/it:379- 142 niter:145300  713m 22s (- 2107m 12s) completed: 25%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0346  acc: 0.6254  lr: 0.0000 
ep/it:379- 192 niter:145350  713m 36s (- 2106m 58s) completed: 25%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0329  acc: 0.6265  lr: 0.0000 
ep/it:379- 242 niter:145400  713m 52s (- 2106m 45s) completed: 25%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0355  acc: 0.6249  lr: 0.0000 
ep/it:379- 292 niter:145450  714m 6s (- 2106m 29s) completed: 25%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0321  acc: 0.6232  lr: 0.0000 
ep/it:379- 342 niter:145500  714m 20s (- 2106m 13s) completed: 25%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0346  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.70it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.35it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.53it/s]
100%|██████████| 47/47 [00:06<00:00,  7.75it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4574914509430528 avg: 2.4574914509430528
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4543098462745547 avg: 2.4559006486088037
--> 	 Eva. Repeat 22 :, FID. 0.1295, Diversity Real. 9.3074, Diversity. 9.5113, R_precision_real. [0.52832031 0.70703125 0.80078125], R_precision. [0.52636719 0.70507812 0.80371094], matching_score_real. 2.8976, matching_score_pred. 2.9072, skate_ratio. 0.0435, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5068 (traj_fail_50cm (Traj err)): 0.2773 (kps_fail_20cm): 0.3429 (kps_fail_50cm (Loc. err)): 0.1814 (kps_mean_err(m) (Avg. err)): 0.3417 
ep/it:380-   9 niter:145550  714m 44s (- 2106m 26s) completed: 25%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0349  acc: 0.6303  lr: 0.0000 
ep/it:380-  59 niter:145600  714m 59s (- 2106m 11s) completed: 25%) loss_emb: 0.0000  loss: 1.2740  loss_TTT: 0.0350  acc: 0.6235  lr: 0.0000 
ep/it:380- 109 niter:145650  715m 13s (- 2105m 54s) completed: 25%) loss_emb: 0.0000  loss: 1.2759  loss_TTT: 0.0345  acc: 0.6238  lr: 0.0000 
ep/it:380- 159 niter:145700  715m 27s (- 2105m 38s) completed: 25%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0352  acc: 0.6295  lr: 0.0000 
ep/it:380- 209 niter:145750  715m 42s (- 2105m 22s) completed: 25%) loss_emb: 0.0000  loss: 1.2890  loss_TTT: 0.0333  acc: 0.6196  lr: 0.0000 
ep/it:380- 259 niter:145800  715m 57s (- 2105m 7s) completed: 25%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0348  acc: 0.6239  lr: 0.0000 
ep/it:380- 309 niter:145850  716m 11s (- 2104m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.2906  loss_TTT: 0.0347  acc: 0.6196  lr: 0.0000 
ep/it:380- 359 niter:145900  716m 25s (- 2104m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0349  acc: 0.6234  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.599
ep/it:381-  26 niter:145950  716m 41s (- 2104m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0339  acc: 0.6238  lr: 0.0000 
ep/it:381-  76 niter:146000  716m 55s (- 2104m 8s) completed: 25%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0369  acc: 0.6237  lr: 0.0000 
ep/it:381- 126 niter:146050  717m 11s (- 2103m 55s) completed: 25%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0328  acc: 0.6267  lr: 0.0000 
ep/it:381- 176 niter:146100  717m 25s (- 2103m 38s) completed: 25%) loss_emb: 0.0000  loss: 1.2621  loss_TTT: 0.0331  acc: 0.6275  lr: 0.0000 
ep/it:381- 226 niter:146150  717m 39s (- 2103m 22s) completed: 25%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0341  acc: 0.6309  lr: 0.0000 
ep/it:381- 276 niter:146200  717m 53s (- 2103m 7s) completed: 25%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0327  acc: 0.6255  lr: 0.0000 
ep/it:381- 326 niter:146250  718m 8s (- 2102m 52s) completed: 25%) loss_emb: 0.0000  loss: 1.2973  loss_TTT: 0.0327  acc: 0.6166  lr: 0.0000 
ep/it:381- 376 niter:146300  718m 23s (- 2102m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.3056  loss_TTT: 0.0340  acc: 0.6149  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.590
ep/it:382-  43 niter:146350  718m 40s (- 2102m 30s) completed: 25%) loss_emb: 0.0000  loss: 1.2965  loss_TTT: 0.0335  acc: 0.6175  lr: 0.0000 
ep/it:382-  93 niter:146400  718m 55s (- 2102m 14s) completed: 25%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0336  acc: 0.6208  lr: 0.0000 
ep/it:382- 143 niter:146450  719m 9s (- 2101m 59s) completed: 25%) loss_emb: 0.0000  loss: 1.2941  loss_TTT: 0.0337  acc: 0.6187  lr: 0.0000 
ep/it:382- 193 niter:146500  719m 24s (- 2101m 44s) completed: 25%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0343  acc: 0.6185  lr: 0.0000 
ep/it:382- 243 niter:146550  719m 38s (- 2101m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.2702  loss_TTT: 0.0368  acc: 0.6250  lr: 0.0000 
ep/it:382- 293 niter:146600  719m 53s (- 2101m 14s) completed: 25%) loss_emb: 0.0000  loss: 1.2715  loss_TTT: 0.0347  acc: 0.6261  lr: 0.0000 
ep/it:382- 343 niter:146650  720m 8s (- 2101m 0s) completed: 25%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0339  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.606
ep/it:383-  10 niter:146700  720m 25s (- 2100m 53s) completed: 25%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0339  acc: 0.6316  lr: 0.0000 
ep/it:383-  60 niter:146750  720m 40s (- 2100m 39s) completed: 25%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0340  acc: 0.6254  lr: 0.0000 
ep/it:383- 110 niter:146800  720m 55s (- 2100m 24s) completed: 25%) loss_emb: 0.0000  loss: 1.2788  loss_TTT: 0.0350  acc: 0.6229  lr: 0.0000 
ep/it:383- 160 niter:146850  721m 10s (- 2100m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0332  acc: 0.6324  lr: 0.0000 
ep/it:383- 210 niter:146900  721m 24s (- 2099m 52s) completed: 25%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0343  acc: 0.6252  lr: 0.0000 
ep/it:383- 260 niter:146950  721m 38s (- 2099m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0342  acc: 0.6258  lr: 0.0000 
ep/it:383- 310 niter:147000  721m 52s (- 2099m 19s) completed: 25%) loss_emb: 0.0000  loss: 1.2905  loss_TTT: 0.0336  acc: 0.6197  lr: 0.0000 
ep/it:383- 360 niter:147050  722m 6s (- 2099m 3s) completed: 25%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0336  acc: 0.6261  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.600
ep/it:384-  27 niter:147100  722m 23s (- 2098m 55s) completed: 25%) loss_emb: 0.0000  loss: 1.2805  loss_TTT: 0.0347  acc: 0.6224  lr: 0.0000 
ep/it:384-  77 niter:147150  722m 38s (- 2098m 39s) completed: 25%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0333  acc: 0.6224  lr: 0.0000 
ep/it:384- 127 niter:147200  722m 52s (- 2098m 23s) completed: 25%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0364  acc: 0.6222  lr: 0.0000 
ep/it:384- 177 niter:147250  723m 6s (- 2098m 8s) completed: 25%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0346  acc: 0.6260  lr: 0.0000 
ep/it:384- 227 niter:147300  723m 21s (- 2097m 52s) completed: 25%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0341  acc: 0.6262  lr: 0.0000 
ep/it:384- 277 niter:147350  723m 35s (- 2097m 36s) completed: 25%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0352  acc: 0.6235  lr: 0.0000 
ep/it:384- 327 niter:147400  723m 50s (- 2097m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0334  acc: 0.6234  lr: 0.0000 
ep/it:384- 377 niter:147450  724m 4s (- 2097m 6s) completed: 25%) loss_emb: 0.0000  loss: 1.2809  loss_TTT: 0.0335  acc: 0.6229  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.594
ep/it:385-  44 niter:147500  724m 21s (- 2096m 57s) completed: 25%) loss_emb: 0.0000  loss: 1.2817  loss_TTT: 0.0362  acc: 0.6228  lr: 0.0000 
ep/it:385-  94 niter:147550  724m 36s (- 2096m 42s) completed: 25%) loss_emb: 0.0000  loss: 1.2923  loss_TTT: 0.0349  acc: 0.6184  lr: 0.0000 
ep/it:385- 144 niter:147600  724m 51s (- 2096m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.3022  loss_TTT: 0.0352  acc: 0.6177  lr: 0.0000 
ep/it:385- 194 niter:147650  725m 5s (- 2096m 12s) completed: 25%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0351  acc: 0.6229  lr: 0.0000 
ep/it:385- 244 niter:147700  725m 20s (- 2095m 57s) completed: 25%) loss_emb: 0.0000  loss: 1.2824  loss_TTT: 0.0328  acc: 0.6209  lr: 0.0000 
ep/it:385- 294 niter:147750  725m 35s (- 2095m 43s) completed: 25%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0337  acc: 0.6269  lr: 0.0000 
ep/it:385- 344 niter:147800  725m 49s (- 2095m 27s) completed: 25%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0341  acc: 0.6263  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.596
ep/it:386-  11 niter:147850  726m 6s (- 2095m 19s) completed: 25%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0328  acc: 0.6226  lr: 0.0000 
ep/it:386-  61 niter:147900  726m 21s (- 2095m 4s) completed: 25%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0351  acc: 0.6263  lr: 0.0000 
ep/it:386- 111 niter:147950  726m 35s (- 2094m 48s) completed: 25%) loss_emb: 0.0000  loss: 1.3034  loss_TTT: 0.0348  acc: 0.6161  lr: 0.0000 
ep/it:386- 161 niter:148000  726m 50s (- 2094m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.2632  loss_TTT: 0.0321  acc: 0.6262  lr: 0.0000 
ep/it:386- 211 niter:148050  727m 5s (- 2094m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.2607  loss_TTT: 0.0343  acc: 0.6275  lr: 0.0000 
ep/it:386- 261 niter:148100  727m 19s (- 2094m 5s) completed: 25%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0339  acc: 0.6255  lr: 0.0000 
ep/it:386- 311 niter:148150  727m 34s (- 2093m 49s) completed: 25%) loss_emb: 0.0000  loss: 1.2641  loss_TTT: 0.0336  acc: 0.6277  lr: 0.0000 
ep/it:386- 361 niter:148200  727m 48s (- 2093m 34s) completed: 25%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0343  acc: 0.6257  lr: 0.0000 
Validation time:
Validation loss:1.489, accuracy:0.584
ep/it:387-  28 niter:148250  728m 5s (- 2093m 26s) completed: 25%) loss_emb: 0.0000  loss: 1.2755  loss_TTT: 0.0338  acc: 0.6235  lr: 0.0000 
ep/it:387-  78 niter:148300  728m 20s (- 2093m 10s) completed: 25%) loss_emb: 0.0000  loss: 1.2885  loss_TTT: 0.0348  acc: 0.6201  lr: 0.0000 
ep/it:387- 128 niter:148350  728m 34s (- 2092m 54s) completed: 25%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0337  acc: 0.6190  lr: 0.0000 
ep/it:387- 178 niter:148400  728m 48s (- 2092m 38s) completed: 25%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0344  acc: 0.6251  lr: 0.0000 
ep/it:387- 228 niter:148450  729m 3s (- 2092m 23s) completed: 25%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0343  acc: 0.6268  lr: 0.0000 
ep/it:387- 278 niter:148500  729m 18s (- 2092m 8s) completed: 25%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0338  acc: 0.6258  lr: 0.0000 
ep/it:387- 328 niter:148550  729m 32s (- 2091m 53s) completed: 25%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0333  acc: 0.6291  lr: 0.0000 
ep/it:387- 378 niter:148600  729m 47s (- 2091m 37s) completed: 25%) loss_emb: 0.0000  loss: 1.2536  loss_TTT: 0.0336  acc: 0.6293  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:388-  45 niter:148650  730m 4s (- 2091m 30s) completed: 25%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0320  acc: 0.6244  lr: 0.0000 
ep/it:388-  95 niter:148700  730m 18s (- 2091m 13s) completed: 25%) loss_emb: 0.0000  loss: 1.2732  loss_TTT: 0.0338  acc: 0.6238  lr: 0.0000 
ep/it:388- 145 niter:148750  730m 33s (- 2090m 58s) completed: 25%) loss_emb: 0.0000  loss: 1.2805  loss_TTT: 0.0335  acc: 0.6216  lr: 0.0000 
ep/it:388- 195 niter:148800  730m 48s (- 2090m 44s) completed: 25%) loss_emb: 0.0000  loss: 1.2804  loss_TTT: 0.0333  acc: 0.6230  lr: 0.0000 
ep/it:388- 245 niter:148850  731m 2s (- 2090m 28s) completed: 25%) loss_emb: 0.0000  loss: 1.2971  loss_TTT: 0.0336  acc: 0.6189  lr: 0.0000 
ep/it:388- 295 niter:148900  731m 16s (- 2090m 12s) completed: 25%) loss_emb: 0.0000  loss: 1.2815  loss_TTT: 0.0343  acc: 0.6232  lr: 0.0000 
ep/it:388- 345 niter:148950  731m 31s (- 2089m 58s) completed: 25%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0347  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.591
ep/it:389-  12 niter:149000  731m 48s (- 2089m 50s) completed: 25%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0352  acc: 0.6269  lr: 0.0000 
ep/it:389-  62 niter:149050  732m 3s (- 2089m 35s) completed: 25%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0349  acc: 0.6220  lr: 0.0000 
ep/it:389- 112 niter:149100  732m 18s (- 2089m 21s) completed: 25%) loss_emb: 0.0000  loss: 1.3008  loss_TTT: 0.0341  acc: 0.6160  lr: 0.0000 
ep/it:389- 162 niter:149150  732m 34s (- 2089m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.2263  loss_TTT: 0.0324  acc: 0.6375  lr: 0.0000 
ep/it:389- 212 niter:149200  732m 49s (- 2088m 55s) completed: 25%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0352  acc: 0.6264  lr: 0.0000 
ep/it:389- 262 niter:149250  733m 3s (- 2088m 41s) completed: 25%) loss_emb: 0.0000  loss: 1.2732  loss_TTT: 0.0343  acc: 0.6246  lr: 0.0000 
ep/it:389- 312 niter:149300  733m 18s (- 2088m 25s) completed: 25%) loss_emb: 0.0000  loss: 1.3004  loss_TTT: 0.0326  acc: 0.6162  lr: 0.0000 
ep/it:389- 362 niter:149350  733m 32s (- 2088m 9s) completed: 25%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0332  acc: 0.6258  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.600

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.79it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.27it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.67it/s]
100%|██████████| 47/47 [00:05<00:00,  7.89it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4560074959881604 avg: 2.4560074959881604
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4594162381254137 avg: 2.457711867056787
--> 	 Eva. Repeat 22 :, FID. 0.0911, Diversity Real. 9.5238, Diversity. 9.6139, R_precision_real. [0.53320312 0.71289062 0.81347656], R_precision. [0.50878906 0.69726562 0.78808594], matching_score_real. 2.9166, matching_score_pred. 2.9915, skate_ratio. 0.0486, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5117 (traj_fail_50cm (Traj err)): 0.2900 (kps_fail_20cm): 0.3631 (kps_fail_50cm (Loc. err)): 0.1928 (kps_mean_err(m) (Avg. err)): 0.3574 
ep/it:390-  29 niter:149400  733m 57s (- 2088m 22s) completed: 26%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0346  acc: 0.6282  lr: 0.0000 
ep/it:390-  79 niter:149450  734m 12s (- 2088m 8s) completed: 26%) loss_emb: 0.0000  loss: 1.2981  loss_TTT: 0.0343  acc: 0.6176  lr: 0.0000 
ep/it:390- 129 niter:149500  734m 27s (- 2087m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.2805  loss_TTT: 0.0349  acc: 0.6225  lr: 0.0000 
ep/it:390- 179 niter:149550  734m 41s (- 2087m 39s) completed: 26%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0331  acc: 0.6257  lr: 0.0000 
ep/it:390- 229 niter:149600  734m 56s (- 2087m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0333  acc: 0.6232  lr: 0.0000 
ep/it:390- 279 niter:149650  735m 10s (- 2087m 9s) completed: 26%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0351  acc: 0.6267  lr: 0.0000 
ep/it:390- 329 niter:149700  735m 24s (- 2086m 52s) completed: 26%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0330  acc: 0.6284  lr: 0.0000 
ep/it:390- 379 niter:149750  735m 39s (- 2086m 36s) completed: 26%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0349  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.486, accuracy:0.587
ep/it:391-  46 niter:149800  735m 56s (- 2086m 28s) completed: 26%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0339  acc: 0.6218  lr: 0.0000 
ep/it:391-  96 niter:149850  736m 10s (- 2086m 13s) completed: 26%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0332  acc: 0.6275  lr: 0.0000 
ep/it:391- 146 niter:149900  736m 25s (- 2085m 58s) completed: 26%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0330  acc: 0.6241  lr: 0.0000 
ep/it:391- 196 niter:149950  736m 40s (- 2085m 44s) completed: 26%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0345  acc: 0.6270  lr: 0.0000 
ep/it:391- 246 niter:150000  736m 54s (- 2085m 28s) completed: 26%) loss_emb: 0.0000  loss: 1.2698  loss_TTT: 0.0333  acc: 0.6255  lr: 0.0000 
ep/it:391- 296 niter:150050  737m 9s (- 2085m 14s) completed: 26%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0344  acc: 0.6262  lr: 0.0000 
ep/it:391- 346 niter:150100  737m 24s (- 2084m 58s) completed: 26%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0346  acc: 0.6234  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.593
ep/it:392-  13 niter:150150  737m 41s (- 2084m 50s) completed: 26%) loss_emb: 0.0000  loss: 1.2927  loss_TTT: 0.0354  acc: 0.6201  lr: 0.0000 
ep/it:392-  63 niter:150200  737m 56s (- 2084m 36s) completed: 26%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0342  acc: 0.6245  lr: 0.0000 
ep/it:392- 113 niter:150250  738m 11s (- 2084m 21s) completed: 26%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0341  acc: 0.6277  lr: 0.0000 
ep/it:392- 163 niter:150300  738m 25s (- 2084m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0343  acc: 0.6254  lr: 0.0000 
ep/it:392- 213 niter:150350  738m 39s (- 2083m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0333  acc: 0.6268  lr: 0.0000 
ep/it:392- 263 niter:150400  738m 54s (- 2083m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.2864  loss_TTT: 0.0347  acc: 0.6207  lr: 0.0000 
ep/it:392- 313 niter:150450  739m 8s (- 2083m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0335  acc: 0.6238  lr: 0.0000 
ep/it:392- 363 niter:150500  739m 23s (- 2083m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.2809  loss_TTT: 0.0344  acc: 0.6233  lr: 0.0000 
Validation time:
Validation loss:1.385, accuracy:0.612
Improved accuracy from 0.61 to 0.6115199897600256!!!
ep/it:393-  30 niter:150550  739m 41s (- 2082m 57s) completed: 26%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0334  acc: 0.6227  lr: 0.0000 
ep/it:393-  80 niter:150600  739m 55s (- 2082m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0337  acc: 0.6257  lr: 0.0000 
ep/it:393- 130 niter:150650  740m 9s (- 2082m 25s) completed: 26%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0341  acc: 0.6223  lr: 0.0000 
ep/it:393- 180 niter:150700  740m 24s (- 2082m 11s) completed: 26%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0331  acc: 0.6273  lr: 0.0000 
ep/it:393- 230 niter:150750  740m 39s (- 2081m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0352  acc: 0.6242  lr: 0.0000 
ep/it:393- 280 niter:150800  740m 53s (- 2081m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0342  acc: 0.6279  lr: 0.0000 
ep/it:393- 330 niter:150850  741m 8s (- 2081m 25s) completed: 26%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0338  acc: 0.6287  lr: 0.0000 
ep/it:393- 380 niter:150900  741m 22s (- 2081m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0341  acc: 0.6249  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.595
ep/it:394-  47 niter:150950  741m 40s (- 2081m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0331  acc: 0.6241  lr: 0.0000 
ep/it:394-  97 niter:151000  741m 55s (- 2080m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0344  acc: 0.6254  lr: 0.0000 
ep/it:394- 147 niter:151050  742m 10s (- 2080m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0341  acc: 0.6242  lr: 0.0000 
ep/it:394- 197 niter:151100  742m 25s (- 2080m 20s) completed: 26%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0343  acc: 0.6242  lr: 0.0000 
ep/it:394- 247 niter:151150  742m 39s (- 2080m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0341  acc: 0.6203  lr: 0.0000 
ep/it:394- 297 niter:151200  742m 54s (- 2079m 50s) completed: 26%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0327  acc: 0.6285  lr: 0.0000 
ep/it:394- 347 niter:151250  743m 8s (- 2079m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0331  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.599
ep/it:395-  14 niter:151300  743m 25s (- 2079m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.2745  loss_TTT: 0.0339  acc: 0.6241  lr: 0.0000 
ep/it:395-  64 niter:151350  743m 40s (- 2079m 12s) completed: 26%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0350  acc: 0.6207  lr: 0.0000 
ep/it:395- 114 niter:151400  743m 54s (- 2078m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0344  acc: 0.6334  lr: 0.0000 
ep/it:395- 164 niter:151450  744m 9s (- 2078m 42s) completed: 26%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0344  acc: 0.6184  lr: 0.0000 
ep/it:395- 214 niter:151500  744m 24s (- 2078m 25s) completed: 26%) loss_emb: 0.0000  loss: 1.2674  loss_TTT: 0.0344  acc: 0.6261  lr: 0.0000 
ep/it:395- 264 niter:151550  744m 38s (- 2078m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0341  acc: 0.6278  lr: 0.0000 
ep/it:395- 314 niter:151600  744m 53s (- 2077m 54s) completed: 26%) loss_emb: 0.0000  loss: 1.2941  loss_TTT: 0.0329  acc: 0.6198  lr: 0.0000 
ep/it:395- 364 niter:151650  745m 7s (- 2077m 39s) completed: 26%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0352  acc: 0.6279  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.593
ep/it:396-  31 niter:151700  745m 25s (- 2077m 33s) completed: 26%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0344  acc: 0.6274  lr: 0.0000 
ep/it:396-  81 niter:151750  745m 40s (- 2077m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0354  acc: 0.6240  lr: 0.0000 
ep/it:396- 131 niter:151800  745m 54s (- 2077m 2s) completed: 26%) loss_emb: 0.0000  loss: 1.2596  loss_TTT: 0.0333  acc: 0.6271  lr: 0.0000 
ep/it:396- 181 niter:151850  746m 8s (- 2076m 46s) completed: 26%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0330  acc: 0.6249  lr: 0.0000 
ep/it:396- 231 niter:151900  746m 23s (- 2076m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0346  acc: 0.6229  lr: 0.0000 
ep/it:396- 281 niter:151950  746m 37s (- 2076m 15s) completed: 26%) loss_emb: 0.0000  loss: 1.2971  loss_TTT: 0.0352  acc: 0.6174  lr: 0.0000 
ep/it:396- 331 niter:152000  746m 51s (- 2075m 59s) completed: 26%) loss_emb: 0.0000  loss: 1.2524  loss_TTT: 0.0344  acc: 0.6295  lr: 0.0000 
ep/it:396- 381 niter:152050  747m 6s (- 2075m 44s) completed: 26%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0342  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.591
ep/it:397-  48 niter:152100  747m 23s (- 2075m 36s) completed: 26%) loss_emb: 0.0000  loss: 1.2607  loss_TTT: 0.0328  acc: 0.6279  lr: 0.0000 
ep/it:397-  98 niter:152150  747m 37s (- 2075m 20s) completed: 26%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0340  acc: 0.6279  lr: 0.0000 
ep/it:397- 148 niter:152200  747m 52s (- 2075m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0344  acc: 0.6296  lr: 0.0000 
ep/it:397- 198 niter:152250  748m 7s (- 2074m 51s) completed: 26%) loss_emb: 0.0000  loss: 1.2759  loss_TTT: 0.0328  acc: 0.6225  lr: 0.0000 
ep/it:397- 248 niter:152300  748m 22s (- 2074m 36s) completed: 26%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0339  acc: 0.6251  lr: 0.0000 
ep/it:397- 298 niter:152350  748m 36s (- 2074m 20s) completed: 26%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0350  acc: 0.6274  lr: 0.0000 
ep/it:397- 348 niter:152400  748m 51s (- 2074m 5s) completed: 26%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0347  acc: 0.6288  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.589
ep/it:398-  15 niter:152450  749m 8s (- 2073m 58s) completed: 26%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0342  acc: 0.6299  lr: 0.0000 
ep/it:398-  65 niter:152500  749m 23s (- 2073m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0332  acc: 0.6223  lr: 0.0000 
ep/it:398- 115 niter:152550  749m 38s (- 2073m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0349  acc: 0.6216  lr: 0.0000 
ep/it:398- 165 niter:152600  749m 54s (- 2073m 17s) completed: 26%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0351  acc: 0.6292  lr: 0.0000 
ep/it:398- 215 niter:152650  750m 9s (- 2073m 3s) completed: 26%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0338  acc: 0.6226  lr: 0.0000 
ep/it:398- 265 niter:152700  750m 24s (- 2072m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.2640  loss_TTT: 0.0352  acc: 0.6263  lr: 0.0000 
ep/it:398- 315 niter:152750  750m 39s (- 2072m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0341  acc: 0.6307  lr: 0.0000 
ep/it:398- 365 niter:152800  750m 54s (- 2072m 21s) completed: 26%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0328  acc: 0.6327  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.598
ep/it:399-  32 niter:152850  751m 12s (- 2072m 15s) completed: 26%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0349  acc: 0.6232  lr: 0.0000 
ep/it:399-  82 niter:152900  751m 26s (- 2072m 0s) completed: 26%) loss_emb: 0.0000  loss: 1.2569  loss_TTT: 0.0324  acc: 0.6281  lr: 0.0000 
ep/it:399- 132 niter:152950  751m 41s (- 2071m 44s) completed: 26%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0345  acc: 0.6229  lr: 0.0000 
ep/it:399- 182 niter:153000  751m 55s (- 2071m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0330  acc: 0.6252  lr: 0.0000 
ep/it:399- 232 niter:153050  752m 9s (- 2071m 12s) completed: 26%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0336  acc: 0.6232  lr: 0.0000 
ep/it:399- 282 niter:153100  752m 24s (- 2070m 58s) completed: 26%) loss_emb: 0.0000  loss: 1.2906  loss_TTT: 0.0336  acc: 0.6188  lr: 0.0000 
ep/it:399- 332 niter:153150  752m 39s (- 2070m 43s) completed: 26%) loss_emb: 0.0000  loss: 1.2862  loss_TTT: 0.0349  acc: 0.6207  lr: 0.0000 
ep/it:399- 382 niter:153200  752m 53s (- 2070m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0334  acc: 0.6191  lr: 0.0000 
Validation time:
Validation loss:1.456, accuracy:0.592

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.61it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.12it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.48it/s]
100%|██████████| 47/47 [00:06<00:00,  7.70it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4567664521746337 avg: 2.4567664521746337
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.456409848295152 avg: 2.456588150234893
--> 	 Eva. Repeat 22 :, FID. 0.1500, Diversity Real. 9.7805, Diversity. 9.8115, R_precision_real. [0.51757812 0.72265625 0.80664062], R_precision. [0.49804688 0.70898438 0.78710938], matching_score_real. 2.9159, matching_score_pred. 2.9885, skate_ratio. 0.0431, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4971 (traj_fail_50cm (Traj err)): 0.2900 (kps_fail_20cm): 0.3672 (kps_fail_50cm (Loc. err)): 0.1951 (kps_mean_err(m) (Avg. err)): 0.3533 
ep/it:400-  49 niter:153250  753m 19s (- 2070m 42s) completed: 26%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0326  acc: 0.6265  lr: 0.0000 
ep/it:400-  99 niter:153300  753m 33s (- 2070m 25s) completed: 26%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0341  acc: 0.6247  lr: 0.0000 
ep/it:400- 149 niter:153350  753m 47s (- 2070m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0335  acc: 0.6350  lr: 0.0000 
ep/it:400- 199 niter:153400  754m 2s (- 2069m 56s) completed: 26%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0339  acc: 0.6340  lr: 0.0000 
ep/it:400- 249 niter:153450  754m 17s (- 2069m 40s) completed: 26%) loss_emb: 0.0000  loss: 1.3052  loss_TTT: 0.0351  acc: 0.6164  lr: 0.0000 
ep/it:400- 299 niter:153500  754m 32s (- 2069m 27s) completed: 26%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0358  acc: 0.6267  lr: 0.0000 
ep/it:400- 349 niter:153550  754m 47s (- 2069m 14s) completed: 26%) loss_emb: 0.0000  loss: 1.2903  loss_TTT: 0.0333  acc: 0.6191  lr: 0.0000 
Validation time:
Validation loss:1.456, accuracy:0.592
ep/it:401-  16 niter:153600  755m 5s (- 2069m 7s) completed: 26%) loss_emb: 0.0000  loss: 1.2489  loss_TTT: 0.0338  acc: 0.6309  lr: 0.0000 
ep/it:401-  66 niter:153650  755m 19s (- 2068m 51s) completed: 26%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0343  acc: 0.6267  lr: 0.0000 
ep/it:401- 116 niter:153700  755m 33s (- 2068m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.2488  loss_TTT: 0.0346  acc: 0.6300  lr: 0.0000 
ep/it:401- 166 niter:153750  755m 47s (- 2068m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0338  acc: 0.6206  lr: 0.0000 
ep/it:401- 216 niter:153800  756m 2s (- 2068m 2s) completed: 26%) loss_emb: 0.0000  loss: 1.2728  loss_TTT: 0.0341  acc: 0.6251  lr: 0.0000 
ep/it:401- 266 niter:153850  756m 16s (- 2067m 46s) completed: 26%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0350  acc: 0.6224  lr: 0.0000 
ep/it:401- 316 niter:153900  756m 30s (- 2067m 30s) completed: 26%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0330  acc: 0.6217  lr: 0.0000 
ep/it:401- 366 niter:153950  756m 46s (- 2067m 17s) completed: 26%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0339  acc: 0.6302  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.599
ep/it:402-  33 niter:154000  757m 3s (- 2067m 10s) completed: 26%) loss_emb: 0.0000  loss: 1.2886  loss_TTT: 0.0352  acc: 0.6202  lr: 0.0000 
ep/it:402-  83 niter:154050  757m 18s (- 2066m 55s) completed: 26%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0345  acc: 0.6239  lr: 0.0000 
ep/it:402- 133 niter:154100  757m 32s (- 2066m 38s) completed: 26%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0332  acc: 0.6268  lr: 0.0000 
ep/it:402- 183 niter:154150  757m 47s (- 2066m 23s) completed: 26%) loss_emb: 0.0000  loss: 1.2596  loss_TTT: 0.0336  acc: 0.6285  lr: 0.0000 
ep/it:402- 233 niter:154200  758m 0s (- 2066m 6s) completed: 26%) loss_emb: 0.0000  loss: 1.2736  loss_TTT: 0.0340  acc: 0.6244  lr: 0.0000 
ep/it:402- 283 niter:154250  758m 15s (- 2065m 50s) completed: 26%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0332  acc: 0.6193  lr: 0.0000 
ep/it:402- 333 niter:154300  758m 29s (- 2065m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0323  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.595
ep/it:403-   0 niter:154350  758m 46s (- 2065m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0341  acc: 0.6261  lr: 0.0000 
ep/it:403-  50 niter:154400  759m 1s (- 2065m 11s) completed: 26%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0343  acc: 0.6267  lr: 0.0000 
ep/it:403- 100 niter:154450  759m 15s (- 2064m 56s) completed: 26%) loss_emb: 0.0000  loss: 1.2761  loss_TTT: 0.0342  acc: 0.6236  lr: 0.0000 
ep/it:403- 150 niter:154500  759m 30s (- 2064m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0344  acc: 0.6295  lr: 0.0000 
ep/it:403- 200 niter:154550  759m 45s (- 2064m 26s) completed: 26%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0332  acc: 0.6184  lr: 0.0000 
ep/it:403- 250 niter:154600  760m 0s (- 2064m 12s) completed: 26%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0341  acc: 0.6233  lr: 0.0000 
ep/it:403- 300 niter:154650  760m 15s (- 2063m 57s) completed: 26%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0347  acc: 0.6233  lr: 0.0000 
ep/it:403- 350 niter:154700  760m 29s (- 2063m 41s) completed: 26%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0332  acc: 0.6297  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.594
ep/it:404-  17 niter:154750  760m 46s (- 2063m 34s) completed: 26%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0351  acc: 0.6221  lr: 0.0000 
ep/it:404-  67 niter:154800  761m 1s (- 2063m 19s) completed: 26%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0333  acc: 0.6211  lr: 0.0000 
ep/it:404- 117 niter:154850  761m 16s (- 2063m 4s) completed: 26%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0315  acc: 0.6286  lr: 0.0000 
ep/it:404- 167 niter:154900  761m 30s (- 2062m 49s) completed: 26%) loss_emb: 0.0000  loss: 1.2585  loss_TTT: 0.0337  acc: 0.6276  lr: 0.0000 
ep/it:404- 217 niter:154950  761m 45s (- 2062m 35s) completed: 26%) loss_emb: 0.0000  loss: 1.2862  loss_TTT: 0.0335  acc: 0.6207  lr: 0.0000 
ep/it:404- 267 niter:155000  761m 59s (- 2062m 18s) completed: 26%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0341  acc: 0.6211  lr: 0.0000 
ep/it:404- 317 niter:155050  762m 14s (- 2062m 3s) completed: 26%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0341  acc: 0.6319  lr: 0.0000 
ep/it:404- 367 niter:155100  762m 28s (- 2061m 47s) completed: 26%) loss_emb: 0.0000  loss: 1.2937  loss_TTT: 0.0361  acc: 0.6202  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.592
ep/it:405-  34 niter:155150  762m 46s (- 2061m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.2779  loss_TTT: 0.0335  acc: 0.6234  lr: 0.0000 
ep/it:405-  84 niter:155200  763m 0s (- 2061m 24s) completed: 27%) loss_emb: 0.0000  loss: 1.2347  loss_TTT: 0.0352  acc: 0.6347  lr: 0.0000 
ep/it:405- 134 niter:155250  763m 15s (- 2061m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0337  acc: 0.6210  lr: 0.0000 
ep/it:405- 184 niter:155300  763m 29s (- 2060m 54s) completed: 27%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0343  acc: 0.6244  lr: 0.0000 
ep/it:405- 234 niter:155350  763m 44s (- 2060m 38s) completed: 27%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0335  acc: 0.6270  lr: 0.0000 
ep/it:405- 284 niter:155400  763m 58s (- 2060m 23s) completed: 27%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0341  acc: 0.6241  lr: 0.0000 
ep/it:405- 334 niter:155450  764m 13s (- 2060m 8s) completed: 27%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0331  acc: 0.6268  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.604
ep/it:406-   1 niter:155500  764m 30s (- 2059m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0327  acc: 0.6275  lr: 0.0000 
ep/it:406-  51 niter:155550  764m 45s (- 2059m 44s) completed: 27%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0347  acc: 0.6203  lr: 0.0000 
ep/it:406- 101 niter:155600  764m 59s (- 2059m 28s) completed: 27%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0336  acc: 0.6256  lr: 0.0000 
ep/it:406- 151 niter:155650  765m 14s (- 2059m 13s) completed: 27%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0346  acc: 0.6245  lr: 0.0000 
ep/it:406- 201 niter:155700  765m 28s (- 2058m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0334  acc: 0.6322  lr: 0.0000 
ep/it:406- 251 niter:155750  765m 43s (- 2058m 43s) completed: 27%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0346  acc: 0.6266  lr: 0.0000 
ep/it:406- 301 niter:155800  765m 57s (- 2058m 28s) completed: 27%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0337  acc: 0.6268  lr: 0.0000 
ep/it:406- 351 niter:155850  766m 12s (- 2058m 12s) completed: 27%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0334  acc: 0.6202  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.597
ep/it:407-  18 niter:155900  766m 29s (- 2058m 3s) completed: 27%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0331  acc: 0.6328  lr: 0.0000 
ep/it:407-  68 niter:155950  766m 43s (- 2057m 48s) completed: 27%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0351  acc: 0.6254  lr: 0.0000 
ep/it:407- 118 niter:156000  766m 58s (- 2057m 34s) completed: 27%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0340  acc: 0.6213  lr: 0.0000 
ep/it:407- 168 niter:156050  767m 14s (- 2057m 20s) completed: 27%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0331  acc: 0.6243  lr: 0.0000 
ep/it:407- 218 niter:156100  767m 28s (- 2057m 4s) completed: 27%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0332  acc: 0.6225  lr: 0.0000 
ep/it:407- 268 niter:156150  767m 43s (- 2056m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.2707  loss_TTT: 0.0343  acc: 0.6243  lr: 0.0000 
ep/it:407- 318 niter:156200  767m 57s (- 2056m 35s) completed: 27%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0351  acc: 0.6212  lr: 0.0000 
ep/it:407- 368 niter:156250  768m 12s (- 2056m 19s) completed: 27%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0336  acc: 0.6255  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.601
ep/it:408-  35 niter:156300  768m 29s (- 2056m 10s) completed: 27%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0347  acc: 0.6219  lr: 0.0000 
ep/it:408-  85 niter:156350  768m 44s (- 2055m 57s) completed: 27%) loss_emb: 0.0000  loss: 1.3097  loss_TTT: 0.0338  acc: 0.6157  lr: 0.0000 
ep/it:408- 135 niter:156400  768m 59s (- 2055m 43s) completed: 27%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0333  acc: 0.6222  lr: 0.0000 
ep/it:408- 185 niter:156450  769m 13s (- 2055m 27s) completed: 27%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0330  acc: 0.6230  lr: 0.0000 
ep/it:408- 235 niter:156500  769m 28s (- 2055m 12s) completed: 27%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0341  acc: 0.6274  lr: 0.0000 
ep/it:408- 285 niter:156550  769m 43s (- 2054m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0342  acc: 0.6282  lr: 0.0000 
ep/it:408- 335 niter:156600  769m 58s (- 2054m 43s) completed: 27%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0337  acc: 0.6226  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.592
ep/it:409-   2 niter:156650  770m 15s (- 2054m 36s) completed: 27%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0342  acc: 0.6209  lr: 0.0000 
ep/it:409-  52 niter:156700  770m 30s (- 2054m 21s) completed: 27%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0337  acc: 0.6294  lr: 0.0000 
ep/it:409- 102 niter:156750  770m 44s (- 2054m 5s) completed: 27%) loss_emb: 0.0000  loss: 1.2411  loss_TTT: 0.0347  acc: 0.6326  lr: 0.0000 
ep/it:409- 152 niter:156800  770m 59s (- 2053m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0355  acc: 0.6200  lr: 0.0000 
ep/it:409- 202 niter:156850  771m 14s (- 2053m 35s) completed: 27%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0319  acc: 0.6245  lr: 0.0000 
ep/it:409- 252 niter:156900  771m 28s (- 2053m 21s) completed: 27%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0337  acc: 0.6320  lr: 0.0000 
ep/it:409- 302 niter:156950  771m 43s (- 2053m 6s) completed: 27%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0340  acc: 0.6256  lr: 0.0000 
ep/it:409- 352 niter:157000  771m 58s (- 2052m 50s) completed: 27%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0339  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.599

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.66it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.30it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.70it/s]
100%|██████████| 47/47 [00:05<00:00,  7.91it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4568940200842917 avg: 2.4568940200842917
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.454364646691829 avg: 2.4556293333880603
--> 	 Eva. Repeat 22 :, FID. 0.1004, Diversity Real. 9.6512, Diversity. 9.7884, R_precision_real. [0.52636719 0.70214844 0.80761719], R_precision. [0.53613281 0.7109375  0.80566406], matching_score_real. 2.8722, matching_score_pred. 2.8846, skate_ratio. 0.0484, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5107 (traj_fail_50cm (Traj err)): 0.2920 (kps_fail_20cm): 0.3681 (kps_fail_50cm (Loc. err)): 0.2037 (kps_mean_err(m) (Avg. err)): 0.3793 
ep/it:410-  19 niter:157050  772m 23s (- 2053m 3s) completed: 27%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0328  acc: 0.6237  lr: 0.0000 
ep/it:410-  69 niter:157100  772m 37s (- 2052m 46s) completed: 27%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0330  acc: 0.6284  lr: 0.0000 
ep/it:410- 119 niter:157150  772m 51s (- 2052m 31s) completed: 27%) loss_emb: 0.0000  loss: 1.2583  loss_TTT: 0.0322  acc: 0.6274  lr: 0.0000 
ep/it:410- 169 niter:157200  773m 6s (- 2052m 15s) completed: 27%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0338  acc: 0.6231  lr: 0.0000 
ep/it:410- 219 niter:157250  773m 21s (- 2052m 1s) completed: 27%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0351  acc: 0.6252  lr: 0.0000 
ep/it:410- 269 niter:157300  773m 35s (- 2051m 46s) completed: 27%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0362  acc: 0.6257  lr: 0.0000 
ep/it:410- 319 niter:157350  773m 50s (- 2051m 31s) completed: 27%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0334  acc: 0.6247  lr: 0.0000 
ep/it:410- 369 niter:157400  774m 4s (- 2051m 16s) completed: 27%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0344  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.487, accuracy:0.585
ep/it:411-  36 niter:157450  774m 22s (- 2051m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.2608  loss_TTT: 0.0335  acc: 0.6278  lr: 0.0000 
ep/it:411-  86 niter:157500  774m 37s (- 2050m 54s) completed: 27%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0349  acc: 0.6275  lr: 0.0000 
ep/it:411- 136 niter:157550  774m 52s (- 2050m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.2874  loss_TTT: 0.0339  acc: 0.6191  lr: 0.0000 
ep/it:411- 186 niter:157600  775m 6s (- 2050m 24s) completed: 27%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0339  acc: 0.6294  lr: 0.0000 
ep/it:411- 236 niter:157650  775m 20s (- 2050m 8s) completed: 27%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0354  acc: 0.6195  lr: 0.0000 
ep/it:411- 286 niter:157700  775m 34s (- 2049m 51s) completed: 27%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0328  acc: 0.6258  lr: 0.0000 
ep/it:411- 336 niter:157750  775m 49s (- 2049m 35s) completed: 27%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0331  acc: 0.6257  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.588
ep/it:412-   3 niter:157800  776m 6s (- 2049m 27s) completed: 27%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0322  acc: 0.6271  lr: 0.0000 
ep/it:412-  53 niter:157850  776m 20s (- 2049m 11s) completed: 27%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0354  acc: 0.6268  lr: 0.0000 
ep/it:412- 103 niter:157900  776m 35s (- 2048m 57s) completed: 27%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0322  acc: 0.6235  lr: 0.0000 
ep/it:412- 153 niter:157950  776m 50s (- 2048m 43s) completed: 27%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0350  acc: 0.6256  lr: 0.0000 
ep/it:412- 203 niter:158000  777m 6s (- 2048m 29s) completed: 27%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0327  acc: 0.6342  lr: 0.0000 
ep/it:412- 253 niter:158050  777m 21s (- 2048m 17s) completed: 27%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0349  acc: 0.6314  lr: 0.0000 
ep/it:412- 303 niter:158100  777m 36s (- 2048m 2s) completed: 27%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0336  acc: 0.6286  lr: 0.0000 
ep/it:412- 353 niter:158150  777m 50s (- 2047m 47s) completed: 27%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0343  acc: 0.6164  lr: 0.0000 
Validation time:
Validation loss:1.447, accuracy:0.595
ep/it:413-  20 niter:158200  778m 8s (- 2047m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0347  acc: 0.6287  lr: 0.0000 
ep/it:413-  70 niter:158250  778m 23s (- 2047m 25s) completed: 27%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0327  acc: 0.6207  lr: 0.0000 
ep/it:413- 120 niter:158300  778m 38s (- 2047m 10s) completed: 27%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0348  acc: 0.6226  lr: 0.0000 
ep/it:413- 170 niter:158350  778m 53s (- 2046m 56s) completed: 27%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0328  acc: 0.6306  lr: 0.0000 
ep/it:413- 220 niter:158400  779m 7s (- 2046m 40s) completed: 27%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0340  acc: 0.6272  lr: 0.0000 
ep/it:413- 270 niter:158450  779m 21s (- 2046m 24s) completed: 27%) loss_emb: 0.0000  loss: 1.2731  loss_TTT: 0.0334  acc: 0.6251  lr: 0.0000 
ep/it:413- 320 niter:158500  779m 35s (- 2046m 8s) completed: 27%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0342  acc: 0.6237  lr: 0.0000 
ep/it:413- 370 niter:158550  779m 50s (- 2045m 53s) completed: 27%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0334  acc: 0.6355  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.600
ep/it:414-  37 niter:158600  780m 8s (- 2045m 45s) completed: 27%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0341  acc: 0.6241  lr: 0.0000 
ep/it:414-  87 niter:158650  780m 22s (- 2045m 30s) completed: 27%) loss_emb: 0.0000  loss: 1.2695  loss_TTT: 0.0326  acc: 0.6266  lr: 0.0000 
ep/it:414- 137 niter:158700  780m 37s (- 2045m 16s) completed: 27%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0338  acc: 0.6287  lr: 0.0000 
ep/it:414- 187 niter:158750  780m 52s (- 2045m 1s) completed: 27%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0319  acc: 0.6318  lr: 0.0000 
ep/it:414- 237 niter:158800  781m 6s (- 2044m 46s) completed: 27%) loss_emb: 0.0000  loss: 1.2444  loss_TTT: 0.0331  acc: 0.6323  lr: 0.0000 
ep/it:414- 287 niter:158850  781m 21s (- 2044m 30s) completed: 27%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0327  acc: 0.6314  lr: 0.0000 
ep/it:414- 337 niter:158900  781m 36s (- 2044m 15s) completed: 27%) loss_emb: 0.0000  loss: 1.2698  loss_TTT: 0.0338  acc: 0.6246  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.603
ep/it:415-   4 niter:158950  781m 54s (- 2044m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.2990  loss_TTT: 0.0359  acc: 0.6174  lr: 0.0000 
ep/it:415-  54 niter:159000  782m 8s (- 2043m 53s) completed: 27%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0345  acc: 0.6257  lr: 0.0000 
ep/it:415- 104 niter:159050  782m 23s (- 2043m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0351  acc: 0.6282  lr: 0.0000 
ep/it:415- 154 niter:159100  782m 37s (- 2043m 23s) completed: 27%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0339  acc: 0.6242  lr: 0.0000 
ep/it:415- 204 niter:159150  782m 51s (- 2043m 7s) completed: 27%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0331  acc: 0.6262  lr: 0.0000 
ep/it:415- 254 niter:159200  783m 6s (- 2042m 52s) completed: 27%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0345  acc: 0.6326  lr: 0.0000 
ep/it:415- 304 niter:159250  783m 21s (- 2042m 36s) completed: 27%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0320  acc: 0.6253  lr: 0.0000 
ep/it:415- 354 niter:159300  783m 36s (- 2042m 22s) completed: 27%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0317  acc: 0.6279  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.600
ep/it:416-  21 niter:159350  783m 53s (- 2042m 14s) completed: 27%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0338  acc: 0.6236  lr: 0.0000 
ep/it:416-  71 niter:159400  784m 7s (- 2041m 58s) completed: 27%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0321  acc: 0.6281  lr: 0.0000 
ep/it:416- 121 niter:159450  784m 22s (- 2041m 44s) completed: 27%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0346  acc: 0.6260  lr: 0.0000 
ep/it:416- 171 niter:159500  784m 36s (- 2041m 28s) completed: 27%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0348  acc: 0.6234  lr: 0.0000 
ep/it:416- 221 niter:159550  784m 51s (- 2041m 13s) completed: 27%) loss_emb: 0.0000  loss: 1.2958  loss_TTT: 0.0348  acc: 0.6182  lr: 0.0000 
ep/it:416- 271 niter:159600  785m 5s (- 2040m 57s) completed: 27%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0343  acc: 0.6206  lr: 0.0000 
ep/it:416- 321 niter:159650  785m 20s (- 2040m 42s) completed: 27%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0318  acc: 0.6279  lr: 0.0000 
ep/it:416- 371 niter:159700  785m 35s (- 2040m 29s) completed: 27%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0335  acc: 0.6214  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:417-  38 niter:159750  785m 53s (- 2040m 20s) completed: 27%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0345  acc: 0.6301  lr: 0.0000 
ep/it:417-  88 niter:159800  786m 7s (- 2040m 5s) completed: 27%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0318  acc: 0.6238  lr: 0.0000 
ep/it:417- 138 niter:159850  786m 21s (- 2039m 48s) completed: 27%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0343  acc: 0.6335  lr: 0.0000 
ep/it:417- 188 niter:159900  786m 35s (- 2039m 31s) completed: 27%) loss_emb: 0.0000  loss: 1.2899  loss_TTT: 0.0321  acc: 0.6197  lr: 0.0000 
ep/it:417- 238 niter:159950  786m 49s (- 2039m 15s) completed: 27%) loss_emb: 0.0000  loss: 1.2536  loss_TTT: 0.0346  acc: 0.6290  lr: 0.0000 
ep/it:417- 288 niter:160000  787m 3s (- 2038m 59s) completed: 27%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0317  acc: 0.6253  lr: 0.0000 
ep/it:417- 338 niter:160050  787m 18s (- 2038m 43s) completed: 27%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0333  acc: 0.6289  lr: 0.0000 
Validation time:
Validation loss:1.498, accuracy:0.581
ep/it:418-   5 niter:160100  787m 36s (- 2038m 36s) completed: 27%) loss_emb: 0.0000  loss: 1.2803  loss_TTT: 0.0343  acc: 0.6220  lr: 0.0000 
ep/it:418-  55 niter:160150  787m 50s (- 2038m 22s) completed: 27%) loss_emb: 0.0000  loss: 1.2786  loss_TTT: 0.0355  acc: 0.6231  lr: 0.0000 
ep/it:418- 105 niter:160200  788m 5s (- 2038m 7s) completed: 27%) loss_emb: 0.0000  loss: 1.2935  loss_TTT: 0.0350  acc: 0.6189  lr: 0.0000 
ep/it:418- 155 niter:160250  788m 20s (- 2037m 51s) completed: 27%) loss_emb: 0.0000  loss: 1.2788  loss_TTT: 0.0341  acc: 0.6240  lr: 0.0000 
ep/it:418- 205 niter:160300  788m 34s (- 2037m 37s) completed: 27%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0334  acc: 0.6286  lr: 0.0000 
ep/it:418- 255 niter:160350  788m 49s (- 2037m 21s) completed: 27%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0326  acc: 0.6351  lr: 0.0000 
ep/it:418- 305 niter:160400  789m 3s (- 2037m 5s) completed: 27%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0336  acc: 0.6225  lr: 0.0000 
ep/it:418- 355 niter:160450  789m 17s (- 2036m 49s) completed: 27%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0336  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.594
ep/it:419-  22 niter:160500  789m 34s (- 2036m 39s) completed: 27%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0341  acc: 0.6244  lr: 0.0000 
ep/it:419-  72 niter:160550  789m 49s (- 2036m 25s) completed: 27%) loss_emb: 0.0000  loss: 1.2638  loss_TTT: 0.0347  acc: 0.6259  lr: 0.0000 
ep/it:419- 122 niter:160600  790m 3s (- 2036m 9s) completed: 27%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0338  acc: 0.6260  lr: 0.0000 
ep/it:419- 172 niter:160650  790m 18s (- 2035m 54s) completed: 27%) loss_emb: 0.0000  loss: 1.3054  loss_TTT: 0.0341  acc: 0.6147  lr: 0.0000 
ep/it:419- 222 niter:160700  790m 33s (- 2035m 40s) completed: 27%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0339  acc: 0.6302  lr: 0.0000 
ep/it:419- 272 niter:160750  790m 48s (- 2035m 25s) completed: 27%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0321  acc: 0.6289  lr: 0.0000 
ep/it:419- 322 niter:160800  791m 2s (- 2035m 10s) completed: 27%) loss_emb: 0.0000  loss: 1.2818  loss_TTT: 0.0360  acc: 0.6218  lr: 0.0000 
ep/it:419- 372 niter:160850  791m 17s (- 2034m 55s) completed: 27%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0336  acc: 0.6243  lr: 0.0000 
Validation time:
Validation loss:1.389, accuracy:0.607

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.67it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.28it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.72it/s]
100%|██████████| 47/47 [00:05<00:00,  7.93it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.482988770119846 avg: 2.482988770119846
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4556955518200994 avg: 2.4693421609699726
--> 	 Eva. Repeat 22 :, FID. 0.1150, Diversity Real. 9.9831, Diversity. 9.6374, R_precision_real. [0.53027344 0.70996094 0.81542969], R_precision. [0.51171875 0.69433594 0.79589844], matching_score_real. 2.9170, matching_score_pred. 2.9884, skate_ratio. 0.0473, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5020 (traj_fail_50cm (Traj err)): 0.2910 (kps_fail_20cm): 0.3546 (kps_fail_50cm (Loc. err)): 0.1957 (kps_mean_err(m) (Avg. err)): 0.3716 
ep/it:420-  39 niter:160900  791m 42s (- 2035m 5s) completed: 28%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0348  acc: 0.6215  lr: 0.0000 
ep/it:420-  89 niter:160950  791m 56s (- 2034m 50s) completed: 28%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0331  acc: 0.6236  lr: 0.0000 
ep/it:420- 139 niter:161000  792m 11s (- 2034m 35s) completed: 28%) loss_emb: 0.0000  loss: 1.2864  loss_TTT: 0.0334  acc: 0.6202  lr: 0.0000 
ep/it:420- 189 niter:161050  792m 25s (- 2034m 19s) completed: 28%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0325  acc: 0.6265  lr: 0.0000 
ep/it:420- 239 niter:161100  792m 40s (- 2034m 5s) completed: 28%) loss_emb: 0.0000  loss: 1.2403  loss_TTT: 0.0323  acc: 0.6328  lr: 0.0000 
ep/it:420- 289 niter:161150  792m 54s (- 2033m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.2695  loss_TTT: 0.0328  acc: 0.6247  lr: 0.0000 
ep/it:420- 339 niter:161200  793m 9s (- 2033m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0334  acc: 0.6248  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.597
ep/it:421-   6 niter:161250  793m 26s (- 2033m 24s) completed: 28%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0344  acc: 0.6305  lr: 0.0000 
ep/it:421-  56 niter:161300  793m 40s (- 2033m 9s) completed: 28%) loss_emb: 0.0000  loss: 1.2899  loss_TTT: 0.0316  acc: 0.6198  lr: 0.0000 
ep/it:421- 106 niter:161350  793m 55s (- 2032m 53s) completed: 28%) loss_emb: 0.0000  loss: 1.2887  loss_TTT: 0.0354  acc: 0.6201  lr: 0.0000 
ep/it:421- 156 niter:161400  794m 9s (- 2032m 37s) completed: 28%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0343  acc: 0.6271  lr: 0.0000 
ep/it:421- 206 niter:161450  794m 23s (- 2032m 20s) completed: 28%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0343  acc: 0.6231  lr: 0.0000 
ep/it:421- 256 niter:161500  794m 37s (- 2032m 4s) completed: 28%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0321  acc: 0.6274  lr: 0.0000 
ep/it:421- 306 niter:161550  794m 52s (- 2031m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0339  acc: 0.6294  lr: 0.0000 
ep/it:421- 356 niter:161600  795m 6s (- 2031m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.2621  loss_TTT: 0.0331  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.588
ep/it:422-  23 niter:161650  795m 23s (- 2031m 25s) completed: 28%) loss_emb: 0.0000  loss: 1.2714  loss_TTT: 0.0338  acc: 0.6233  lr: 0.0000 
ep/it:422-  73 niter:161700  795m 37s (- 2031m 8s) completed: 28%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0342  acc: 0.6219  lr: 0.0000 
ep/it:422- 123 niter:161750  795m 51s (- 2030m 51s) completed: 28%) loss_emb: 0.0000  loss: 1.2466  loss_TTT: 0.0339  acc: 0.6319  lr: 0.0000 
ep/it:422- 173 niter:161800  796m 6s (- 2030m 35s) completed: 28%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0342  acc: 0.6305  lr: 0.0000 
ep/it:422- 223 niter:161850  796m 20s (- 2030m 20s) completed: 28%) loss_emb: 0.0000  loss: 1.2940  loss_TTT: 0.0331  acc: 0.6177  lr: 0.0000 
ep/it:422- 273 niter:161900  796m 34s (- 2030m 3s) completed: 28%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0328  acc: 0.6310  lr: 0.0000 
ep/it:422- 323 niter:161950  796m 48s (- 2029m 47s) completed: 28%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0353  acc: 0.6249  lr: 0.0000 
ep/it:422- 373 niter:162000  797m 3s (- 2029m 32s) completed: 28%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0334  acc: 0.6278  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.592
ep/it:423-  40 niter:162050  797m 21s (- 2029m 25s) completed: 28%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0339  acc: 0.6216  lr: 0.0000 
ep/it:423-  90 niter:162100  797m 35s (- 2029m 9s) completed: 28%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0329  acc: 0.6268  lr: 0.0000 
ep/it:423- 140 niter:162150  797m 49s (- 2028m 54s) completed: 28%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0337  acc: 0.6298  lr: 0.0000 
ep/it:423- 190 niter:162200  798m 4s (- 2028m 38s) completed: 28%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0334  acc: 0.6245  lr: 0.0000 
ep/it:423- 240 niter:162250  798m 18s (- 2028m 22s) completed: 28%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0336  acc: 0.6247  lr: 0.0000 
ep/it:423- 290 niter:162300  798m 33s (- 2028m 6s) completed: 28%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0327  acc: 0.6289  lr: 0.0000 
ep/it:423- 340 niter:162350  798m 46s (- 2027m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0337  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.501, accuracy:0.580
ep/it:424-   7 niter:162400  799m 3s (- 2027m 40s) completed: 28%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0332  acc: 0.6312  lr: 0.0000 
ep/it:424-  57 niter:162450  799m 18s (- 2027m 24s) completed: 28%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0335  acc: 0.6253  lr: 0.0000 
ep/it:424- 107 niter:162500  799m 32s (- 2027m 8s) completed: 28%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0349  acc: 0.6191  lr: 0.0000 
ep/it:424- 157 niter:162550  799m 47s (- 2026m 53s) completed: 28%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0334  acc: 0.6224  lr: 0.0000 
ep/it:424- 207 niter:162600  800m 1s (- 2026m 37s) completed: 28%) loss_emb: 0.0000  loss: 1.2728  loss_TTT: 0.0322  acc: 0.6229  lr: 0.0000 
ep/it:424- 257 niter:162650  800m 15s (- 2026m 21s) completed: 28%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0337  acc: 0.6248  lr: 0.0000 
ep/it:424- 307 niter:162700  800m 30s (- 2026m 7s) completed: 28%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0339  acc: 0.6286  lr: 0.0000 
ep/it:424- 357 niter:162750  800m 45s (- 2025m 53s) completed: 28%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0369  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.595
ep/it:425-  24 niter:162800  801m 3s (- 2025m 46s) completed: 28%) loss_emb: 0.0000  loss: 1.2556  loss_TTT: 0.0347  acc: 0.6290  lr: 0.0000 
ep/it:425-  74 niter:162850  801m 17s (- 2025m 29s) completed: 28%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0330  acc: 0.6289  lr: 0.0000 
ep/it:425- 124 niter:162900  801m 32s (- 2025m 14s) completed: 28%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0335  acc: 0.6268  lr: 0.0000 
ep/it:425- 174 niter:162950  801m 47s (- 2025m 0s) completed: 28%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0329  acc: 0.6256  lr: 0.0000 
ep/it:425- 224 niter:163000  802m 2s (- 2024m 46s) completed: 28%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0337  acc: 0.6282  lr: 0.0000 
ep/it:425- 274 niter:163050  802m 17s (- 2024m 34s) completed: 28%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0333  acc: 0.6250  lr: 0.0000 
ep/it:425- 324 niter:163100  802m 33s (- 2024m 20s) completed: 28%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0329  acc: 0.6210  lr: 0.0000 
ep/it:425- 374 niter:163150  802m 47s (- 2024m 5s) completed: 28%) loss_emb: 0.0000  loss: 1.2290  loss_TTT: 0.0342  acc: 0.6355  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.601
ep/it:426-  41 niter:163200  803m 4s (- 2023m 55s) completed: 28%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0331  acc: 0.6222  lr: 0.0000 
ep/it:426-  91 niter:163250  803m 19s (- 2023m 40s) completed: 28%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0333  acc: 0.6274  lr: 0.0000 
ep/it:426- 141 niter:163300  803m 32s (- 2023m 23s) completed: 28%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0335  acc: 0.6241  lr: 0.0000 
ep/it:426- 191 niter:163350  803m 47s (- 2023m 7s) completed: 28%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0335  acc: 0.6304  lr: 0.0000 
ep/it:426- 241 niter:163400  804m 1s (- 2022m 51s) completed: 28%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0344  acc: 0.6258  lr: 0.0000 
ep/it:426- 291 niter:163450  804m 15s (- 2022m 35s) completed: 28%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0341  acc: 0.6245  lr: 0.0000 
ep/it:426- 341 niter:163500  804m 30s (- 2022m 20s) completed: 28%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0343  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:427-   8 niter:163550  804m 48s (- 2022m 13s) completed: 28%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0340  acc: 0.6274  lr: 0.0000 
ep/it:427-  58 niter:163600  805m 2s (- 2021m 57s) completed: 28%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0345  acc: 0.6208  lr: 0.0000 
ep/it:427- 108 niter:163650  805m 17s (- 2021m 42s) completed: 28%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0336  acc: 0.6272  lr: 0.0000 
ep/it:427- 158 niter:163700  805m 32s (- 2021m 27s) completed: 28%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0324  acc: 0.6226  lr: 0.0000 
ep/it:427- 208 niter:163750  805m 46s (- 2021m 13s) completed: 28%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0353  acc: 0.6305  lr: 0.0000 
ep/it:427- 258 niter:163800  806m 1s (- 2020m 58s) completed: 28%) loss_emb: 0.0000  loss: 1.2408  loss_TTT: 0.0325  acc: 0.6322  lr: 0.0000 
ep/it:427- 308 niter:163850  806m 16s (- 2020m 44s) completed: 28%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0355  acc: 0.6272  lr: 0.0000 
ep/it:427- 358 niter:163900  806m 31s (- 2020m 29s) completed: 28%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0343  acc: 0.6220  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.595
ep/it:428-  25 niter:163950  806m 48s (- 2020m 21s) completed: 28%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0325  acc: 0.6267  lr: 0.0000 
ep/it:428-  75 niter:164000  807m 3s (- 2020m 5s) completed: 28%) loss_emb: 0.0000  loss: 1.2504  loss_TTT: 0.0326  acc: 0.6303  lr: 0.0000 
ep/it:428- 125 niter:164050  807m 17s (- 2019m 50s) completed: 28%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0327  acc: 0.6252  lr: 0.0000 
ep/it:428- 175 niter:164100  807m 31s (- 2019m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0339  acc: 0.6245  lr: 0.0000 
ep/it:428- 225 niter:164150  807m 45s (- 2019m 17s) completed: 28%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0351  acc: 0.6271  lr: 0.0000 
ep/it:428- 275 niter:164200  807m 59s (- 2019m 0s) completed: 28%) loss_emb: 0.0000  loss: 1.2219  loss_TTT: 0.0323  acc: 0.6378  lr: 0.0000 
ep/it:428- 325 niter:164250  808m 13s (- 2018m 44s) completed: 28%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0334  acc: 0.6214  lr: 0.0000 
ep/it:428- 375 niter:164300  808m 28s (- 2018m 27s) completed: 28%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0325  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.389, accuracy:0.610
ep/it:429-  42 niter:164350  808m 45s (- 2018m 18s) completed: 28%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0334  acc: 0.6248  lr: 0.0000 
ep/it:429-  92 niter:164400  808m 59s (- 2018m 2s) completed: 28%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0323  acc: 0.6204  lr: 0.0000 
ep/it:429- 142 niter:164450  809m 13s (- 2017m 45s) completed: 28%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0327  acc: 0.6303  lr: 0.0000 
ep/it:429- 192 niter:164500  809m 27s (- 2017m 29s) completed: 28%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0338  acc: 0.6224  lr: 0.0000 
ep/it:429- 242 niter:164550  809m 41s (- 2017m 13s) completed: 28%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0332  acc: 0.6273  lr: 0.0000 
ep/it:429- 292 niter:164600  809m 55s (- 2016m 57s) completed: 28%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0344  acc: 0.6279  lr: 0.0000 
ep/it:429- 342 niter:164650  810m 9s (- 2016m 40s) completed: 28%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0334  acc: 0.6207  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.599

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.67it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.24it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.65it/s]
100%|██████████| 47/47 [00:05<00:00,  7.86it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.512413114774972 avg: 2.512413114774972
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.454688373953104 avg: 2.483550744364038
--> 	 Eva. Repeat 22 :, FID. 0.0830, Diversity Real. 9.4430, Diversity. 9.9535, R_precision_real. [0.5234375  0.72363281 0.80175781], R_precision. [0.52050781 0.71289062 0.8046875 ], matching_score_real. 2.9373, matching_score_pred. 2.9542, skate_ratio. 0.0458, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5000 (traj_fail_50cm (Traj err)): 0.2910 (kps_fail_20cm): 0.3590 (kps_fail_50cm (Loc. err)): 0.1949 (kps_mean_err(m) (Avg. err)): 0.3427 
ep/it:430-   9 niter:164700  810m 33s (- 2016m 47s) completed: 28%) loss_emb: 0.0000  loss: 1.2824  loss_TTT: 0.0350  acc: 0.6216  lr: 0.0000 
ep/it:430-  59 niter:164750  810m 47s (- 2016m 32s) completed: 28%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0356  acc: 0.6258  lr: 0.0000 
ep/it:430- 109 niter:164800  811m 3s (- 2016m 18s) completed: 28%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0318  acc: 0.6263  lr: 0.0000 
ep/it:430- 159 niter:164850  811m 17s (- 2016m 4s) completed: 28%) loss_emb: 0.0000  loss: 1.2779  loss_TTT: 0.0330  acc: 0.6219  lr: 0.0000 
ep/it:430- 209 niter:164900  811m 32s (- 2015m 47s) completed: 28%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0329  acc: 0.6312  lr: 0.0000 
ep/it:430- 259 niter:164950  811m 46s (- 2015m 32s) completed: 28%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0333  acc: 0.6313  lr: 0.0000 
ep/it:430- 309 niter:165000  812m 0s (- 2015m 16s) completed: 28%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0343  acc: 0.6214  lr: 0.0000 
ep/it:430- 359 niter:165050  812m 15s (- 2015m 1s) completed: 28%) loss_emb: 0.0000  loss: 1.2976  loss_TTT: 0.0340  acc: 0.6170  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.600
ep/it:431-  26 niter:165100  812m 33s (- 2014m 53s) completed: 28%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0357  acc: 0.6193  lr: 0.0000 
ep/it:431-  76 niter:165150  812m 47s (- 2014m 38s) completed: 28%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0337  acc: 0.6198  lr: 0.0000 
ep/it:431- 126 niter:165200  813m 1s (- 2014m 22s) completed: 28%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0343  acc: 0.6303  lr: 0.0000 
ep/it:431- 176 niter:165250  813m 16s (- 2014m 7s) completed: 28%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0327  acc: 0.6262  lr: 0.0000 
ep/it:431- 226 niter:165300  813m 32s (- 2013m 54s) completed: 28%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0335  acc: 0.6232  lr: 0.0000 
ep/it:431- 276 niter:165350  813m 46s (- 2013m 39s) completed: 28%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0329  acc: 0.6285  lr: 0.0000 
ep/it:431- 326 niter:165400  814m 1s (- 2013m 24s) completed: 28%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0337  acc: 0.6259  lr: 0.0000 
ep/it:431- 376 niter:165450  814m 16s (- 2013m 10s) completed: 28%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0331  acc: 0.6328  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594
ep/it:432-  43 niter:165500  814m 33s (- 2013m 2s) completed: 28%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0346  acc: 0.6301  lr: 0.0000 
ep/it:432-  93 niter:165550  814m 49s (- 2012m 48s) completed: 28%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0339  acc: 0.6304  lr: 0.0000 
ep/it:432- 143 niter:165600  815m 4s (- 2012m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.2867  loss_TTT: 0.0339  acc: 0.6204  lr: 0.0000 
ep/it:432- 193 niter:165650  815m 18s (- 2012m 18s) completed: 28%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0328  acc: 0.6313  lr: 0.0000 
ep/it:432- 243 niter:165700  815m 32s (- 2012m 2s) completed: 28%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0334  acc: 0.6271  lr: 0.0000 
ep/it:432- 293 niter:165750  815m 48s (- 2011m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0336  acc: 0.6276  lr: 0.0000 
ep/it:432- 343 niter:165800  816m 2s (- 2011m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0330  acc: 0.6225  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.597
ep/it:433-  10 niter:165850  816m 20s (- 2011m 26s) completed: 28%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0342  acc: 0.6246  lr: 0.0000 
ep/it:433-  60 niter:165900  816m 35s (- 2011m 12s) completed: 28%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0340  acc: 0.6268  lr: 0.0000 
ep/it:433- 110 niter:165950  816m 49s (- 2010m 55s) completed: 28%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0340  acc: 0.6265  lr: 0.0000 
ep/it:433- 160 niter:166000  817m 4s (- 2010m 40s) completed: 28%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0347  acc: 0.6283  lr: 0.0000 
ep/it:433- 210 niter:166050  817m 19s (- 2010m 26s) completed: 28%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0334  acc: 0.6225  lr: 0.0000 
ep/it:433- 260 niter:166100  817m 33s (- 2010m 11s) completed: 28%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0328  acc: 0.6221  lr: 0.0000 
ep/it:433- 310 niter:166150  817m 48s (- 2009m 56s) completed: 28%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0325  acc: 0.6328  lr: 0.0000 
ep/it:433- 360 niter:166200  818m 3s (- 2009m 42s) completed: 28%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0327  acc: 0.6214  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.597
ep/it:434-  27 niter:166250  818m 20s (- 2009m 33s) completed: 28%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0336  acc: 0.6201  lr: 0.0000 
ep/it:434-  77 niter:166300  818m 34s (- 2009m 17s) completed: 28%) loss_emb: 0.0000  loss: 1.2608  loss_TTT: 0.0322  acc: 0.6273  lr: 0.0000 
ep/it:434- 127 niter:166350  818m 50s (- 2009m 3s) completed: 28%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0327  acc: 0.6247  lr: 0.0000 
ep/it:434- 177 niter:166400  819m 5s (- 2008m 49s) completed: 28%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0338  acc: 0.6254  lr: 0.0000 
ep/it:434- 227 niter:166450  819m 19s (- 2008m 34s) completed: 28%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0346  acc: 0.6267  lr: 0.0000 
ep/it:434- 277 niter:166500  819m 34s (- 2008m 19s) completed: 28%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0335  acc: 0.6259  lr: 0.0000 
ep/it:434- 327 niter:166550  819m 49s (- 2008m 5s) completed: 28%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0355  acc: 0.6199  lr: 0.0000 
ep/it:434- 377 niter:166600  820m 3s (- 2007m 48s) completed: 28%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0334  acc: 0.6285  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.601
ep/it:435-  44 niter:166650  820m 20s (- 2007m 39s) completed: 29%) loss_emb: 0.0000  loss: 1.2697  loss_TTT: 0.0331  acc: 0.6237  lr: 0.0000 
ep/it:435-  94 niter:166700  820m 34s (- 2007m 23s) completed: 29%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0343  acc: 0.6304  lr: 0.0000 
ep/it:435- 144 niter:166750  820m 48s (- 2007m 6s) completed: 29%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0335  acc: 0.6268  lr: 0.0000 
ep/it:435- 194 niter:166800  821m 2s (- 2006m 50s) completed: 29%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0331  acc: 0.6229  lr: 0.0000 
ep/it:435- 244 niter:166850  821m 17s (- 2006m 35s) completed: 29%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0342  acc: 0.6298  lr: 0.0000 
ep/it:435- 294 niter:166900  821m 31s (- 2006m 18s) completed: 29%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0332  acc: 0.6279  lr: 0.0000 
ep/it:435- 344 niter:166950  821m 46s (- 2006m 4s) completed: 29%) loss_emb: 0.0000  loss: 1.3066  loss_TTT: 0.0340  acc: 0.6143  lr: 0.0000 
Validation time:
Validation loss:1.470, accuracy:0.588
ep/it:436-  11 niter:167000  822m 4s (- 2005m 56s) completed: 29%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0326  acc: 0.6275  lr: 0.0000 
ep/it:436-  61 niter:167050  822m 18s (- 2005m 40s) completed: 29%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0348  acc: 0.6259  lr: 0.0000 
ep/it:436- 111 niter:167100  822m 32s (- 2005m 24s) completed: 29%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0310  acc: 0.6234  lr: 0.0000 
ep/it:436- 161 niter:167150  822m 46s (- 2005m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0335  acc: 0.6299  lr: 0.0000 
ep/it:436- 211 niter:167200  823m 4s (- 2005m 0s) completed: 29%) loss_emb: 0.0000  loss: 1.2921  loss_TTT: 0.0326  acc: 0.6190  lr: 0.0000 
ep/it:436- 261 niter:167250  823m 21s (- 2004m 50s) completed: 29%) loss_emb: 0.0000  loss: 1.2990  loss_TTT: 0.0364  acc: 0.6174  lr: 0.0000 
ep/it:436- 311 niter:167300  823m 37s (- 2004m 40s) completed: 29%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0338  acc: 0.6261  lr: 0.0000 
ep/it:436- 361 niter:167350  823m 53s (- 2004m 28s) completed: 29%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0319  acc: 0.6320  lr: 0.0000 
Validation time:
Validation loss:1.410, accuracy:0.602
ep/it:437-  28 niter:167400  824m 13s (- 2004m 27s) completed: 29%) loss_emb: 0.0000  loss: 1.2803  loss_TTT: 0.0343  acc: 0.6219  lr: 0.0000 
ep/it:437-  78 niter:167450  824m 30s (- 2004m 16s) completed: 29%) loss_emb: 0.0000  loss: 1.2751  loss_TTT: 0.0331  acc: 0.6233  lr: 0.0000 
ep/it:437- 128 niter:167500  824m 46s (- 2004m 5s) completed: 29%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0329  acc: 0.6269  lr: 0.0000 
ep/it:437- 178 niter:167550  825m 3s (- 2003m 55s) completed: 29%) loss_emb: 0.0000  loss: 1.2822  loss_TTT: 0.0367  acc: 0.6218  lr: 0.0000 
ep/it:437- 228 niter:167600  825m 19s (- 2003m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.2793  loss_TTT: 0.0333  acc: 0.6227  lr: 0.0000 
ep/it:437- 278 niter:167650  825m 36s (- 2003m 33s) completed: 29%) loss_emb: 0.0000  loss: 1.2786  loss_TTT: 0.0338  acc: 0.6228  lr: 0.0000 
ep/it:437- 328 niter:167700  825m 52s (- 2003m 21s) completed: 29%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0321  acc: 0.6235  lr: 0.0000 
ep/it:437- 378 niter:167750  826m 8s (- 2003m 11s) completed: 29%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0334  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.589
ep/it:438-  45 niter:167800  826m 29s (- 2003m 10s) completed: 29%) loss_emb: 0.0000  loss: 1.2395  loss_TTT: 0.0336  acc: 0.6315  lr: 0.0000 
ep/it:438-  95 niter:167850  826m 45s (- 2002m 58s) completed: 29%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0360  acc: 0.6260  lr: 0.0000 
ep/it:438- 145 niter:167900  827m 1s (- 2002m 48s) completed: 29%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0350  acc: 0.6233  lr: 0.0000 
ep/it:438- 195 niter:167950  827m 18s (- 2002m 37s) completed: 29%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0325  acc: 0.6353  lr: 0.0000 
ep/it:438- 245 niter:168000  827m 35s (- 2002m 27s) completed: 29%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0336  acc: 0.6281  lr: 0.0000 
ep/it:438- 295 niter:168050  827m 52s (- 2002m 18s) completed: 29%) loss_emb: 0.0000  loss: 1.2358  loss_TTT: 0.0335  acc: 0.6331  lr: 0.0000 
ep/it:438- 345 niter:168100  828m 8s (- 2002m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.2894  loss_TTT: 0.0321  acc: 0.6201  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.594
ep/it:439-  12 niter:168150  828m 29s (- 2002m 6s) completed: 29%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0322  acc: 0.6204  lr: 0.0000 
ep/it:439-  62 niter:168200  828m 46s (- 2001m 58s) completed: 29%) loss_emb: 0.0000  loss: 1.2590  loss_TTT: 0.0331  acc: 0.6271  lr: 0.0000 
ep/it:439- 112 niter:168250  829m 3s (- 2001m 48s) completed: 29%) loss_emb: 0.0000  loss: 1.2895  loss_TTT: 0.0351  acc: 0.6201  lr: 0.0000 
ep/it:439- 162 niter:168300  829m 20s (- 2001m 39s) completed: 29%) loss_emb: 0.0000  loss: 1.2375  loss_TTT: 0.0348  acc: 0.6344  lr: 0.0000 
ep/it:439- 212 niter:168350  829m 37s (- 2001m 29s) completed: 29%) loss_emb: 0.0000  loss: 1.2506  loss_TTT: 0.0334  acc: 0.6300  lr: 0.0000 
ep/it:439- 262 niter:168400  829m 53s (- 2001m 19s) completed: 29%) loss_emb: 0.0000  loss: 1.2506  loss_TTT: 0.0336  acc: 0.6288  lr: 0.0000 
ep/it:439- 312 niter:168450  830m 10s (- 2001m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0333  acc: 0.6275  lr: 0.0000 
ep/it:439- 362 niter:168500  830m 28s (- 2001m 0s) completed: 29%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0342  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.600

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.74it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.74it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  5.00it/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:  2.523534358944744 avg: 2.523534358944744
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.558344126213342 avg: 2.540939242579043
--> 	 Eva. Repeat 22 :, FID. 0.1370, Diversity Real. 9.5253, Diversity. 9.8416, R_precision_real. [0.53222656 0.73046875 0.8203125 ], R_precision. [0.49121094 0.70117188 0.79296875], matching_score_real. 2.8730, matching_score_pred. 3.0468, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5098 (traj_fail_50cm (Traj err)): 0.2920 (kps_fail_20cm): 0.3642 (kps_fail_50cm (Loc. err)): 0.1905 (kps_mean_err(m) (Avg. err)): 0.3586 
ep/it:440-  29 niter:168550  830m 57s (- 2001m 22s) completed: 29%) loss_emb: 0.0000  loss: 1.2940  loss_TTT: 0.0335  acc: 0.6190  lr: 0.0000 
ep/it:440-  79 niter:168600  831m 14s (- 2001m 11s) completed: 29%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0329  acc: 0.6276  lr: 0.0000 
ep/it:440- 129 niter:168650  831m 31s (- 2001m 1s) completed: 29%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0340  acc: 0.6207  lr: 0.0000 
ep/it:440- 179 niter:168700  831m 47s (- 2000m 51s) completed: 29%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0336  acc: 0.6306  lr: 0.0000 
ep/it:440- 229 niter:168750  832m 5s (- 2000m 42s) completed: 29%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0321  acc: 0.6259  lr: 0.0000 
ep/it:440- 279 niter:168800  832m 21s (- 2000m 31s) completed: 29%) loss_emb: 0.0000  loss: 1.2862  loss_TTT: 0.0329  acc: 0.6217  lr: 0.0000 
ep/it:440- 329 niter:168850  832m 38s (- 2000m 22s) completed: 29%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0334  acc: 0.6281  lr: 0.0000 
ep/it:440- 379 niter:168900  832m 55s (- 2000m 12s) completed: 29%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0363  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.597
ep/it:441-  46 niter:168950  833m 16s (- 2000m 11s) completed: 29%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0326  acc: 0.6257  lr: 0.0000 
ep/it:441-  96 niter:169000  833m 32s (- 2000m 0s) completed: 29%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0342  acc: 0.6245  lr: 0.0000 
ep/it:441- 146 niter:169050  833m 49s (- 1999m 51s) completed: 29%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0346  acc: 0.6225  lr: 0.0000 
ep/it:441- 196 niter:169100  834m 6s (- 1999m 40s) completed: 29%) loss_emb: 0.0000  loss: 1.2517  loss_TTT: 0.0334  acc: 0.6299  lr: 0.0000 
ep/it:441- 246 niter:169150  834m 22s (- 1999m 30s) completed: 29%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0327  acc: 0.6277  lr: 0.0000 
ep/it:441- 296 niter:169200  834m 40s (- 1999m 21s) completed: 29%) loss_emb: 0.0000  loss: 1.2965  loss_TTT: 0.0340  acc: 0.6187  lr: 0.0000 
ep/it:441- 346 niter:169250  834m 56s (- 1999m 10s) completed: 29%) loss_emb: 0.0000  loss: 1.2716  loss_TTT: 0.0337  acc: 0.6239  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.591
ep/it:442-  13 niter:169300  835m 17s (- 1999m 11s) completed: 29%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0333  acc: 0.6250  lr: 0.0000 
ep/it:442-  63 niter:169350  835m 34s (- 1999m 1s) completed: 29%) loss_emb: 0.0000  loss: 1.2816  loss_TTT: 0.0354  acc: 0.6208  lr: 0.0000 
ep/it:442- 113 niter:169400  835m 52s (- 1998m 53s) completed: 29%) loss_emb: 0.0000  loss: 1.2801  loss_TTT: 0.0339  acc: 0.6217  lr: 0.0000 
ep/it:442- 163 niter:169450  836m 9s (- 1998m 43s) completed: 29%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0339  acc: 0.6266  lr: 0.0000 
ep/it:442- 213 niter:169500  836m 26s (- 1998m 33s) completed: 29%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0340  acc: 0.6275  lr: 0.0000 
ep/it:442- 263 niter:169550  836m 42s (- 1998m 23s) completed: 29%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0331  acc: 0.6254  lr: 0.0000 
ep/it:442- 313 niter:169600  836m 59s (- 1998m 13s) completed: 29%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0341  acc: 0.6208  lr: 0.0000 
ep/it:442- 363 niter:169650  837m 17s (- 1998m 5s) completed: 29%) loss_emb: 0.0000  loss: 1.2424  loss_TTT: 0.0320  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.598
ep/it:443-  30 niter:169700  837m 37s (- 1998m 2s) completed: 29%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0332  acc: 0.6321  lr: 0.0000 
ep/it:443-  80 niter:169750  837m 53s (- 1997m 52s) completed: 29%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0326  acc: 0.6234  lr: 0.0000 
ep/it:443- 130 niter:169800  838m 10s (- 1997m 42s) completed: 29%) loss_emb: 0.0000  loss: 1.2527  loss_TTT: 0.0329  acc: 0.6299  lr: 0.0000 
ep/it:443- 180 niter:169850  838m 27s (- 1997m 32s) completed: 29%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0344  acc: 0.6225  lr: 0.0000 
ep/it:443- 230 niter:169900  838m 44s (- 1997m 22s) completed: 29%) loss_emb: 0.0000  loss: 1.2842  loss_TTT: 0.0341  acc: 0.6200  lr: 0.0000 
ep/it:443- 280 niter:169950  839m 1s (- 1997m 12s) completed: 29%) loss_emb: 0.0000  loss: 1.2922  loss_TTT: 0.0340  acc: 0.6202  lr: 0.0000 
ep/it:443- 330 niter:170000  839m 17s (- 1997m 1s) completed: 29%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0334  acc: 0.6313  lr: 0.0000 
ep/it:443- 380 niter:170050  839m 34s (- 1996m 51s) completed: 29%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0326  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.603
ep/it:444-  47 niter:170100  839m 54s (- 1996m 49s) completed: 29%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0331  acc: 0.6209  lr: 0.0000 
ep/it:444-  97 niter:170150  840m 10s (- 1996m 37s) completed: 29%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0330  acc: 0.6246  lr: 0.0000 
ep/it:444- 147 niter:170200  840m 26s (- 1996m 24s) completed: 29%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0337  acc: 0.6305  lr: 0.0000 
ep/it:444- 197 niter:170250  840m 42s (- 1996m 14s) completed: 29%) loss_emb: 0.0000  loss: 1.2632  loss_TTT: 0.0332  acc: 0.6266  lr: 0.0000 
ep/it:444- 247 niter:170300  840m 58s (- 1996m 2s) completed: 29%) loss_emb: 0.0000  loss: 1.2954  loss_TTT: 0.0316  acc: 0.6181  lr: 0.0000 
ep/it:444- 297 niter:170350  841m 14s (- 1995m 50s) completed: 29%) loss_emb: 0.0000  loss: 1.2947  loss_TTT: 0.0352  acc: 0.6177  lr: 0.0000 
ep/it:444- 347 niter:170400  841m 31s (- 1995m 39s) completed: 29%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0326  acc: 0.6295  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.599
ep/it:445-  14 niter:170450  841m 52s (- 1995m 38s) completed: 29%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0321  acc: 0.6231  lr: 0.0000 
ep/it:445-  64 niter:170500  842m 8s (- 1995m 27s) completed: 29%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0333  acc: 0.6223  lr: 0.0000 
ep/it:445- 114 niter:170550  842m 25s (- 1995m 17s) completed: 29%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0343  acc: 0.6266  lr: 0.0000 
ep/it:445- 164 niter:170600  842m 41s (- 1995m 5s) completed: 29%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0331  acc: 0.6297  lr: 0.0000 
ep/it:445- 214 niter:170650  842m 57s (- 1994m 54s) completed: 29%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0344  acc: 0.6269  lr: 0.0000 
ep/it:445- 264 niter:170700  843m 13s (- 1994m 42s) completed: 29%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0331  acc: 0.6267  lr: 0.0000 
ep/it:445- 314 niter:170750  843m 30s (- 1994m 31s) completed: 29%) loss_emb: 0.0000  loss: 1.3123  loss_TTT: 0.0337  acc: 0.6140  lr: 0.0000 
ep/it:445- 364 niter:170800  843m 47s (- 1994m 21s) completed: 29%) loss_emb: 0.0000  loss: 1.2345  loss_TTT: 0.0338  acc: 0.6343  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.592
ep/it:446-  31 niter:170850  844m 7s (- 1994m 20s) completed: 29%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0332  acc: 0.6265  lr: 0.0000 
ep/it:446-  81 niter:170900  844m 24s (- 1994m 9s) completed: 29%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0334  acc: 0.6240  lr: 0.0000 
ep/it:446- 131 niter:170950  844m 40s (- 1993m 58s) completed: 29%) loss_emb: 0.0000  loss: 1.2765  loss_TTT: 0.0344  acc: 0.6239  lr: 0.0000 
ep/it:446- 181 niter:171000  844m 57s (- 1993m 47s) completed: 29%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0338  acc: 0.6271  lr: 0.0000 
ep/it:446- 231 niter:171050  845m 13s (- 1993m 37s) completed: 29%) loss_emb: 0.0000  loss: 1.2347  loss_TTT: 0.0327  acc: 0.6347  lr: 0.0000 
ep/it:446- 281 niter:171100  845m 29s (- 1993m 25s) completed: 29%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0333  acc: 0.6210  lr: 0.0000 
ep/it:446- 331 niter:171150  845m 46s (- 1993m 14s) completed: 29%) loss_emb: 0.0000  loss: 1.2674  loss_TTT: 0.0335  acc: 0.6262  lr: 0.0000 
ep/it:446- 381 niter:171200  846m 3s (- 1993m 4s) completed: 29%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0335  acc: 0.6257  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.601
ep/it:447-  48 niter:171250  846m 23s (- 1993m 3s) completed: 29%) loss_emb: 0.0000  loss: 1.2736  loss_TTT: 0.0345  acc: 0.6246  lr: 0.0000 
ep/it:447-  98 niter:171300  846m 40s (- 1992m 52s) completed: 29%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0337  acc: 0.6244  lr: 0.0000 
ep/it:447- 148 niter:171350  846m 56s (- 1992m 41s) completed: 29%) loss_emb: 0.0000  loss: 1.2713  loss_TTT: 0.0325  acc: 0.6247  lr: 0.0000 
ep/it:447- 198 niter:171400  847m 13s (- 1992m 30s) completed: 29%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0357  acc: 0.6246  lr: 0.0000 
ep/it:447- 248 niter:171450  847m 29s (- 1992m 19s) completed: 29%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0332  acc: 0.6290  lr: 0.0000 
ep/it:447- 298 niter:171500  847m 46s (- 1992m 8s) completed: 29%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0327  acc: 0.6307  lr: 0.0000 
ep/it:447- 348 niter:171550  848m 3s (- 1991m 58s) completed: 29%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0324  acc: 0.6258  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.596
ep/it:448-  15 niter:171600  848m 23s (- 1991m 56s) completed: 29%) loss_emb: 0.0000  loss: 1.2524  loss_TTT: 0.0338  acc: 0.6298  lr: 0.0000 
ep/it:448-  65 niter:171650  848m 39s (- 1991m 44s) completed: 29%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0343  acc: 0.6233  lr: 0.0000 
ep/it:448- 115 niter:171700  848m 56s (- 1991m 35s) completed: 29%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0324  acc: 0.6245  lr: 0.0000 
ep/it:448- 165 niter:171750  849m 12s (- 1991m 23s) completed: 29%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0340  acc: 0.6276  lr: 0.0000 
ep/it:448- 215 niter:171800  849m 29s (- 1991m 13s) completed: 29%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0332  acc: 0.6252  lr: 0.0000 
ep/it:448- 265 niter:171850  849m 46s (- 1991m 2s) completed: 29%) loss_emb: 0.0000  loss: 1.2809  loss_TTT: 0.0331  acc: 0.6208  lr: 0.0000 
ep/it:448- 315 niter:171900  850m 2s (- 1990m 50s) completed: 29%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0331  acc: 0.6312  lr: 0.0000 
ep/it:448- 365 niter:171950  850m 18s (- 1990m 39s) completed: 29%) loss_emb: 0.0000  loss: 1.2876  loss_TTT: 0.0342  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.597
ep/it:449-  32 niter:172000  850m 39s (- 1990m 37s) completed: 29%) loss_emb: 0.0000  loss: 1.2856  loss_TTT: 0.0338  acc: 0.6199  lr: 0.0000 
ep/it:449-  82 niter:172050  850m 55s (- 1990m 26s) completed: 29%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0336  acc: 0.6257  lr: 0.0000 
ep/it:449- 132 niter:172100  851m 12s (- 1990m 15s) completed: 29%) loss_emb: 0.0000  loss: 1.2641  loss_TTT: 0.0338  acc: 0.6279  lr: 0.0000 
ep/it:449- 182 niter:172150  851m 28s (- 1990m 4s) completed: 29%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0335  acc: 0.6240  lr: 0.0000 
ep/it:449- 232 niter:172200  851m 45s (- 1989m 53s) completed: 29%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0326  acc: 0.6254  lr: 0.0000 
ep/it:449- 282 niter:172250  852m 1s (- 1989m 43s) completed: 29%) loss_emb: 0.0000  loss: 1.2603  loss_TTT: 0.0338  acc: 0.6274  lr: 0.0000 
ep/it:449- 332 niter:172300  852m 18s (- 1989m 32s) completed: 29%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0332  acc: 0.6268  lr: 0.0000 
ep/it:449- 382 niter:172350  852m 34s (- 1989m 21s) completed: 30%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0345  acc: 0.6233  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.598

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.74it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.72it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.11it/s]
100%|██████████| 47/47 [00:06<00:00,  7.14it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.541095239110291 avg: 2.541095239110291
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5375247239135206 avg: 2.539309981511906
--> 	 Eva. Repeat 22 :, FID. 0.1316, Diversity Real. 9.4649, Diversity. 9.4306, R_precision_real. [0.51757812 0.71191406 0.796875  ], R_precision. [0.50976562 0.7109375  0.80078125], matching_score_real. 2.8847, matching_score_pred. 2.8967, skate_ratio. 0.0483, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5098 (traj_fail_50cm (Traj err)): 0.3076 (kps_fail_20cm): 0.3673 (kps_fail_50cm (Loc. err)): 0.2037 (kps_mean_err(m) (Avg. err)): 0.3614 
ep/it:450-  49 niter:172400  853m 4s (- 1989m 39s) completed: 30%) loss_emb: 0.0000  loss: 1.2632  loss_TTT: 0.0333  acc: 0.6271  lr: 0.0000 
ep/it:450-  99 niter:172450  853m 20s (- 1989m 29s) completed: 30%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0346  acc: 0.6317  lr: 0.0000 
ep/it:450- 149 niter:172500  853m 36s (- 1989m 17s) completed: 30%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0323  acc: 0.6275  lr: 0.0000 
ep/it:450- 199 niter:172550  853m 53s (- 1989m 6s) completed: 30%) loss_emb: 0.0000  loss: 1.2545  loss_TTT: 0.0329  acc: 0.6284  lr: 0.0000 
ep/it:450- 249 niter:172600  854m 9s (- 1988m 54s) completed: 30%) loss_emb: 0.0000  loss: 1.2841  loss_TTT: 0.0329  acc: 0.6201  lr: 0.0000 
ep/it:450- 299 niter:172650  854m 26s (- 1988m 44s) completed: 30%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0336  acc: 0.6226  lr: 0.0000 
ep/it:450- 349 niter:172700  854m 43s (- 1988m 33s) completed: 30%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0336  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.458, accuracy:0.592
ep/it:451-  16 niter:172750  855m 3s (- 1988m 33s) completed: 30%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0340  acc: 0.6258  lr: 0.0000 
ep/it:451-  66 niter:172800  855m 20s (- 1988m 23s) completed: 30%) loss_emb: 0.0000  loss: 1.2815  loss_TTT: 0.0325  acc: 0.6212  lr: 0.0000 
ep/it:451- 116 niter:172850  855m 37s (- 1988m 12s) completed: 30%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0331  acc: 0.6267  lr: 0.0000 
ep/it:451- 166 niter:172900  855m 54s (- 1988m 2s) completed: 30%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0343  acc: 0.6259  lr: 0.0000 
ep/it:451- 216 niter:172950  856m 11s (- 1987m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.2335  loss_TTT: 0.0331  acc: 0.6349  lr: 0.0000 
ep/it:451- 266 niter:173000  856m 28s (- 1987m 41s) completed: 30%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0320  acc: 0.6267  lr: 0.0000 
ep/it:451- 316 niter:173050  856m 44s (- 1987m 31s) completed: 30%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0343  acc: 0.6272  lr: 0.0000 
ep/it:451- 366 niter:173100  857m 2s (- 1987m 23s) completed: 30%) loss_emb: 0.0000  loss: 1.2569  loss_TTT: 0.0336  acc: 0.6287  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.597
ep/it:452-  33 niter:173150  857m 23s (- 1987m 21s) completed: 30%) loss_emb: 0.0000  loss: 1.2822  loss_TTT: 0.0331  acc: 0.6219  lr: 0.0000 
ep/it:452-  83 niter:173200  857m 39s (- 1987m 10s) completed: 30%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0328  acc: 0.6252  lr: 0.0000 
ep/it:452- 133 niter:173250  857m 56s (- 1987m 0s) completed: 30%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0334  acc: 0.6261  lr: 0.0000 
ep/it:452- 183 niter:173300  858m 13s (- 1986m 50s) completed: 30%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0324  acc: 0.6227  lr: 0.0000 
ep/it:452- 233 niter:173350  858m 31s (- 1986m 42s) completed: 30%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0336  acc: 0.6251  lr: 0.0000 
ep/it:452- 283 niter:173400  858m 48s (- 1986m 32s) completed: 30%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0333  acc: 0.6304  lr: 0.0000 
ep/it:452- 333 niter:173450  859m 5s (- 1986m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0335  acc: 0.6278  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.595
ep/it:453-   0 niter:173500  859m 26s (- 1986m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0340  acc: 0.6269  lr: 0.0000 
ep/it:453-  50 niter:173550  859m 43s (- 1986m 12s) completed: 30%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0329  acc: 0.6274  lr: 0.0000 
ep/it:453- 100 niter:173600  860m 0s (- 1986m 2s) completed: 30%) loss_emb: 0.0000  loss: 1.2554  loss_TTT: 0.0335  acc: 0.6296  lr: 0.0000 
ep/it:453- 150 niter:173650  860m 17s (- 1985m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0330  acc: 0.6203  lr: 0.0000 
ep/it:453- 200 niter:173700  860m 34s (- 1985m 41s) completed: 30%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0346  acc: 0.6284  lr: 0.0000 
ep/it:453- 250 niter:173750  860m 51s (- 1985m 31s) completed: 30%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0344  acc: 0.6250  lr: 0.0000 
ep/it:453- 300 niter:173800  861m 7s (- 1985m 20s) completed: 30%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0332  acc: 0.6267  lr: 0.0000 
ep/it:453- 350 niter:173850  861m 24s (- 1985m 11s) completed: 30%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0328  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.594
ep/it:454-  17 niter:173900  861m 46s (- 1985m 11s) completed: 30%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0347  acc: 0.6225  lr: 0.0000 
ep/it:454-  67 niter:173950  862m 2s (- 1985m 1s) completed: 30%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0316  acc: 0.6338  lr: 0.0000 
ep/it:454- 117 niter:174000  862m 20s (- 1984m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0346  acc: 0.6249  lr: 0.0000 
ep/it:454- 167 niter:174050  862m 37s (- 1984m 41s) completed: 30%) loss_emb: 0.0000  loss: 1.2946  loss_TTT: 0.0349  acc: 0.6185  lr: 0.0000 
ep/it:454- 217 niter:174100  862m 53s (- 1984m 29s) completed: 30%) loss_emb: 0.0000  loss: 1.2769  loss_TTT: 0.0331  acc: 0.6233  lr: 0.0000 
ep/it:454- 267 niter:174150  863m 9s (- 1984m 17s) completed: 30%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0331  acc: 0.6275  lr: 0.0000 
ep/it:454- 317 niter:174200  863m 26s (- 1984m 6s) completed: 30%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0340  acc: 0.6231  lr: 0.0000 
ep/it:454- 367 niter:174250  863m 42s (- 1983m 55s) completed: 30%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0337  acc: 0.6237  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.593
ep/it:455-  34 niter:174300  864m 3s (- 1983m 53s) completed: 30%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0330  acc: 0.6268  lr: 0.0000 
ep/it:455-  84 niter:174350  864m 19s (- 1983m 42s) completed: 30%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0345  acc: 0.6310  lr: 0.0000 
ep/it:455- 134 niter:174400  864m 36s (- 1983m 32s) completed: 30%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0331  acc: 0.6259  lr: 0.0000 
ep/it:455- 184 niter:174450  864m 53s (- 1983m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0327  acc: 0.6202  lr: 0.0000 
ep/it:455- 234 niter:174500  865m 10s (- 1983m 13s) completed: 30%) loss_emb: 0.0000  loss: 1.2963  loss_TTT: 0.0319  acc: 0.6170  lr: 0.0000 
ep/it:455- 284 niter:174550  865m 27s (- 1983m 2s) completed: 30%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0332  acc: 0.6240  lr: 0.0000 
ep/it:455- 334 niter:174600  865m 44s (- 1982m 52s) completed: 30%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0330  acc: 0.6253  lr: 0.0000 
Validation time:
Validation loss:1.404, accuracy:0.605
ep/it:456-   1 niter:174650  866m 4s (- 1982m 49s) completed: 30%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0343  acc: 0.6282  lr: 0.0000 
ep/it:456-  51 niter:174700  866m 21s (- 1982m 38s) completed: 30%) loss_emb: 0.0000  loss: 1.2736  loss_TTT: 0.0351  acc: 0.6242  lr: 0.0000 
ep/it:456- 101 niter:174750  866m 37s (- 1982m 27s) completed: 30%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0328  acc: 0.6282  lr: 0.0000 
ep/it:456- 151 niter:174800  866m 54s (- 1982m 16s) completed: 30%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0334  acc: 0.6208  lr: 0.0000 
ep/it:456- 201 niter:174850  867m 10s (- 1982m 5s) completed: 30%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0341  acc: 0.6268  lr: 0.0000 
ep/it:456- 251 niter:174900  867m 27s (- 1981m 54s) completed: 30%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0332  acc: 0.6285  lr: 0.0000 
ep/it:456- 301 niter:174950  867m 43s (- 1981m 43s) completed: 30%) loss_emb: 0.0000  loss: 1.2562  loss_TTT: 0.0329  acc: 0.6275  lr: 0.0000 
ep/it:456- 351 niter:175000  868m 0s (- 1981m 32s) completed: 30%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0318  acc: 0.6225  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593
ep/it:457-  18 niter:175050  868m 21s (- 1981m 30s) completed: 30%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0323  acc: 0.6319  lr: 0.0000 
ep/it:457-  68 niter:175100  868m 37s (- 1981m 20s) completed: 30%) loss_emb: 0.0000  loss: 1.2867  loss_TTT: 0.0341  acc: 0.6203  lr: 0.0000 
ep/it:457- 118 niter:175150  868m 54s (- 1981m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0343  acc: 0.6227  lr: 0.0000 
ep/it:457- 168 niter:175200  869m 11s (- 1980m 59s) completed: 30%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0327  acc: 0.6234  lr: 0.0000 
ep/it:457- 218 niter:175250  869m 28s (- 1980m 48s) completed: 30%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0348  acc: 0.6254  lr: 0.0000 
ep/it:457- 268 niter:175300  869m 44s (- 1980m 37s) completed: 30%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0335  acc: 0.6235  lr: 0.0000 
ep/it:457- 318 niter:175350  870m 1s (- 1980m 25s) completed: 30%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0334  acc: 0.6245  lr: 0.0000 
ep/it:457- 368 niter:175400  870m 18s (- 1980m 16s) completed: 30%) loss_emb: 0.0000  loss: 1.2258  loss_TTT: 0.0330  acc: 0.6373  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.591
ep/it:458-  35 niter:175450  870m 38s (- 1980m 13s) completed: 30%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0334  acc: 0.6254  lr: 0.0000 
ep/it:458-  85 niter:175500  870m 54s (- 1980m 1s) completed: 30%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0330  acc: 0.6227  lr: 0.0000 
ep/it:458- 135 niter:175550  871m 11s (- 1979m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0342  acc: 0.6329  lr: 0.0000 
ep/it:458- 185 niter:175600  871m 28s (- 1979m 40s) completed: 30%) loss_emb: 0.0000  loss: 1.2713  loss_TTT: 0.0341  acc: 0.6235  lr: 0.0000 
ep/it:458- 235 niter:175650  871m 44s (- 1979m 28s) completed: 30%) loss_emb: 0.0000  loss: 1.2597  loss_TTT: 0.0342  acc: 0.6271  lr: 0.0000 
ep/it:458- 285 niter:175700  872m 1s (- 1979m 18s) completed: 30%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0333  acc: 0.6256  lr: 0.0000 
ep/it:458- 335 niter:175750  872m 18s (- 1979m 7s) completed: 30%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0323  acc: 0.6239  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.595
ep/it:459-   2 niter:175800  872m 39s (- 1979m 6s) completed: 30%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0331  acc: 0.6241  lr: 0.0000 
ep/it:459-  52 niter:175850  872m 55s (- 1978m 55s) completed: 30%) loss_emb: 0.0000  loss: 1.2889  loss_TTT: 0.0347  acc: 0.6203  lr: 0.0000 
ep/it:459- 102 niter:175900  873m 12s (- 1978m 44s) completed: 30%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0332  acc: 0.6298  lr: 0.0000 
ep/it:459- 152 niter:175950  873m 28s (- 1978m 33s) completed: 30%) loss_emb: 0.0000  loss: 1.2679  loss_TTT: 0.0336  acc: 0.6253  lr: 0.0000 
ep/it:459- 202 niter:176000  873m 45s (- 1978m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0340  acc: 0.6263  lr: 0.0000 
ep/it:459- 252 niter:176050  874m 2s (- 1978m 12s) completed: 30%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0331  acc: 0.6288  lr: 0.0000 
ep/it:459- 302 niter:176100  874m 19s (- 1978m 1s) completed: 30%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0320  acc: 0.6260  lr: 0.0000 
ep/it:459- 352 niter:176150  874m 35s (- 1977m 50s) completed: 30%) loss_emb: 0.0000  loss: 1.2820  loss_TTT: 0.0335  acc: 0.6221  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.597

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.83it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.73it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.97it/s]
100%|██████████| 47/47 [00:06<00:00,  6.99it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.527949069160968 avg: 2.527949069160968
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.537722677923739 avg: 2.5328358735423535
--> 	 Eva. Repeat 22 :, FID. 0.1122, Diversity Real. 9.4630, Diversity. 9.9824, R_precision_real. [0.515625   0.70117188 0.80273438], R_precision. [0.52148438 0.69238281 0.78808594], matching_score_real. 2.9797, matching_score_pred. 3.0335, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5098 (traj_fail_50cm (Traj err)): 0.2891 (kps_fail_20cm): 0.3610 (kps_fail_50cm (Loc. err)): 0.1940 (kps_mean_err(m) (Avg. err)): 0.3544 
ep/it:460-  19 niter:176200  875m 5s (- 1978m 7s) completed: 30%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0326  acc: 0.6310  lr: 0.0000 
ep/it:460-  69 niter:176250  875m 21s (- 1977m 56s) completed: 30%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0333  acc: 0.6249  lr: 0.0000 
ep/it:460- 119 niter:176300  875m 38s (- 1977m 45s) completed: 30%) loss_emb: 0.0000  loss: 1.2859  loss_TTT: 0.0334  acc: 0.6189  lr: 0.0000 
ep/it:460- 169 niter:176350  875m 54s (- 1977m 34s) completed: 30%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0324  acc: 0.6307  lr: 0.0000 
ep/it:460- 219 niter:176400  876m 11s (- 1977m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0324  acc: 0.6270  lr: 0.0000 
ep/it:460- 269 niter:176450  876m 27s (- 1977m 11s) completed: 30%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0338  acc: 0.6204  lr: 0.0000 
ep/it:460- 319 niter:176500  876m 43s (- 1976m 59s) completed: 30%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0335  acc: 0.6322  lr: 0.0000 
ep/it:460- 369 niter:176550  877m 1s (- 1976m 49s) completed: 30%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0333  acc: 0.6259  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.602
ep/it:461-  36 niter:176600  877m 20s (- 1976m 45s) completed: 30%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0322  acc: 0.6267  lr: 0.0000 
ep/it:461-  86 niter:176650  877m 37s (- 1976m 34s) completed: 30%) loss_emb: 0.0000  loss: 1.2652  loss_TTT: 0.0319  acc: 0.6249  lr: 0.0000 
ep/it:461- 136 niter:176700  877m 54s (- 1976m 23s) completed: 30%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0363  acc: 0.6230  lr: 0.0000 
ep/it:461- 186 niter:176750  878m 10s (- 1976m 13s) completed: 30%) loss_emb: 0.0000  loss: 1.2857  loss_TTT: 0.0341  acc: 0.6206  lr: 0.0000 
ep/it:461- 236 niter:176800  878m 27s (- 1976m 2s) completed: 30%) loss_emb: 0.0000  loss: 1.2970  loss_TTT: 0.0329  acc: 0.6181  lr: 0.0000 
ep/it:461- 286 niter:176850  878m 44s (- 1975m 51s) completed: 30%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0329  acc: 0.6300  lr: 0.0000 
ep/it:461- 336 niter:176900  879m 1s (- 1975m 40s) completed: 30%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0324  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.597
ep/it:462-   3 niter:176950  879m 21s (- 1975m 39s) completed: 30%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0325  acc: 0.6319  lr: 0.0000 
ep/it:462-  53 niter:177000  879m 38s (- 1975m 27s) completed: 30%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0335  acc: 0.6246  lr: 0.0000 
ep/it:462- 103 niter:177050  879m 55s (- 1975m 17s) completed: 30%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0322  acc: 0.6233  lr: 0.0000 
ep/it:462- 153 niter:177100  880m 12s (- 1975m 6s) completed: 30%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0349  acc: 0.6267  lr: 0.0000 
ep/it:462- 203 niter:177150  880m 29s (- 1974m 56s) completed: 30%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0329  acc: 0.6249  lr: 0.0000 
ep/it:462- 253 niter:177200  880m 45s (- 1974m 45s) completed: 30%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0335  acc: 0.6289  lr: 0.0000 
ep/it:462- 303 niter:177250  881m 2s (- 1974m 34s) completed: 30%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0344  acc: 0.6243  lr: 0.0000 
ep/it:462- 353 niter:177300  881m 18s (- 1974m 23s) completed: 30%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0331  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.601
ep/it:463-  20 niter:177350  881m 39s (- 1974m 21s) completed: 30%) loss_emb: 0.0000  loss: 1.2781  loss_TTT: 0.0334  acc: 0.6225  lr: 0.0000 
ep/it:463-  70 niter:177400  881m 56s (- 1974m 11s) completed: 30%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0321  acc: 0.6282  lr: 0.0000 
ep/it:463- 120 niter:177450  882m 13s (- 1974m 0s) completed: 30%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0339  acc: 0.6264  lr: 0.0000 
ep/it:463- 170 niter:177500  882m 30s (- 1973m 50s) completed: 30%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0328  acc: 0.6334  lr: 0.0000 
ep/it:463- 220 niter:177550  882m 47s (- 1973m 39s) completed: 30%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0340  acc: 0.6211  lr: 0.0000 
ep/it:463- 270 niter:177600  883m 4s (- 1973m 29s) completed: 30%) loss_emb: 0.0000  loss: 1.2824  loss_TTT: 0.0338  acc: 0.6217  lr: 0.0000 
ep/it:463- 320 niter:177650  883m 21s (- 1973m 19s) completed: 30%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0318  acc: 0.6292  lr: 0.0000 
ep/it:463- 370 niter:177700  883m 38s (- 1973m 9s) completed: 30%) loss_emb: 0.0000  loss: 1.2273  loss_TTT: 0.0331  acc: 0.6358  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.601
ep/it:464-  37 niter:177750  883m 59s (- 1973m 7s) completed: 30%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0338  acc: 0.6248  lr: 0.0000 
ep/it:464-  87 niter:177800  884m 15s (- 1972m 56s) completed: 30%) loss_emb: 0.0000  loss: 1.3130  loss_TTT: 0.0345  acc: 0.6124  lr: 0.0000 
ep/it:464- 137 niter:177850  884m 32s (- 1972m 45s) completed: 30%) loss_emb: 0.0000  loss: 1.2949  loss_TTT: 0.0330  acc: 0.6183  lr: 0.0000 
ep/it:464- 187 niter:177900  884m 49s (- 1972m 34s) completed: 30%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0327  acc: 0.6277  lr: 0.0000 
ep/it:464- 237 niter:177950  885m 5s (- 1972m 22s) completed: 30%) loss_emb: 0.0000  loss: 1.2411  loss_TTT: 0.0322  acc: 0.6316  lr: 0.0000 
ep/it:464- 287 niter:178000  885m 22s (- 1972m 12s) completed: 30%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0325  acc: 0.6196  lr: 0.0000 
ep/it:464- 337 niter:178050  885m 39s (- 1972m 2s) completed: 30%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0329  acc: 0.6325  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.595
ep/it:465-   4 niter:178100  886m 0s (- 1972m 0s) completed: 31%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0346  acc: 0.6236  lr: 0.0000 
ep/it:465-  54 niter:178150  886m 17s (- 1971m 49s) completed: 31%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0326  acc: 0.6324  lr: 0.0000 
ep/it:465- 104 niter:178200  886m 33s (- 1971m 38s) completed: 31%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0332  acc: 0.6278  lr: 0.0000 
ep/it:465- 154 niter:178250  886m 51s (- 1971m 28s) completed: 31%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0316  acc: 0.6258  lr: 0.0000 
ep/it:465- 204 niter:178300  887m 8s (- 1971m 17s) completed: 31%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0348  acc: 0.6213  lr: 0.0000 
ep/it:465- 254 niter:178350  887m 25s (- 1971m 7s) completed: 31%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0337  acc: 0.6250  lr: 0.0000 
ep/it:465- 304 niter:178400  887m 41s (- 1970m 57s) completed: 31%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0349  acc: 0.6298  lr: 0.0000 
ep/it:465- 354 niter:178450  887m 58s (- 1970m 45s) completed: 31%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0322  acc: 0.6249  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.595
ep/it:466-  21 niter:178500  888m 19s (- 1970m 43s) completed: 31%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0338  acc: 0.6358  lr: 0.0000 
ep/it:466-  71 niter:178550  888m 36s (- 1970m 33s) completed: 31%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0330  acc: 0.6308  lr: 0.0000 
ep/it:466- 121 niter:178600  888m 52s (- 1970m 21s) completed: 31%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0325  acc: 0.6263  lr: 0.0000 
ep/it:466- 171 niter:178650  889m 9s (- 1970m 10s) completed: 31%) loss_emb: 0.0000  loss: 1.2799  loss_TTT: 0.0329  acc: 0.6223  lr: 0.0000 
ep/it:466- 221 niter:178700  889m 25s (- 1969m 59s) completed: 31%) loss_emb: 0.0000  loss: 1.3008  loss_TTT: 0.0348  acc: 0.6179  lr: 0.0000 
ep/it:466- 271 niter:178750  889m 42s (- 1969m 48s) completed: 31%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0335  acc: 0.6247  lr: 0.0000 
ep/it:466- 321 niter:178800  889m 59s (- 1969m 37s) completed: 31%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0307  acc: 0.6284  lr: 0.0000 
ep/it:466- 371 niter:178850  890m 16s (- 1969m 27s) completed: 31%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0334  acc: 0.6225  lr: 0.0000 
Validation time:
Validation loss:1.407, accuracy:0.604
ep/it:467-  38 niter:178900  890m 36s (- 1969m 24s) completed: 31%) loss_emb: 0.0000  loss: 1.2332  loss_TTT: 0.0345  acc: 0.6329  lr: 0.0000 
ep/it:467-  88 niter:178950  890m 53s (- 1969m 13s) completed: 31%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0341  acc: 0.6245  lr: 0.0000 
ep/it:467- 138 niter:179000  891m 10s (- 1969m 2s) completed: 31%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0339  acc: 0.6273  lr: 0.0000 
ep/it:467- 188 niter:179050  891m 27s (- 1968m 51s) completed: 31%) loss_emb: 0.0000  loss: 1.2279  loss_TTT: 0.0316  acc: 0.6356  lr: 0.0000 
ep/it:467- 238 niter:179100  891m 43s (- 1968m 40s) completed: 31%) loss_emb: 0.0000  loss: 1.2597  loss_TTT: 0.0335  acc: 0.6286  lr: 0.0000 
ep/it:467- 288 niter:179150  892m 0s (- 1968m 30s) completed: 31%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0333  acc: 0.6315  lr: 0.0000 
ep/it:467- 338 niter:179200  892m 17s (- 1968m 19s) completed: 31%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0335  acc: 0.6221  lr: 0.0000 
Validation time:
Validation loss:1.412, accuracy:0.603
ep/it:468-   5 niter:179250  892m 38s (- 1968m 17s) completed: 31%) loss_emb: 0.0000  loss: 1.2857  loss_TTT: 0.0327  acc: 0.6209  lr: 0.0000 
ep/it:468-  55 niter:179300  892m 55s (- 1968m 6s) completed: 31%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0332  acc: 0.6273  lr: 0.0000 
ep/it:468- 105 niter:179350  893m 11s (- 1967m 54s) completed: 31%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0338  acc: 0.6266  lr: 0.0000 
ep/it:468- 155 niter:179400  893m 28s (- 1967m 43s) completed: 31%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0329  acc: 0.6213  lr: 0.0000 
ep/it:468- 205 niter:179450  893m 45s (- 1967m 33s) completed: 31%) loss_emb: 0.0000  loss: 1.2280  loss_TTT: 0.0331  acc: 0.6365  lr: 0.0000 
ep/it:468- 255 niter:179500  894m 1s (- 1967m 21s) completed: 31%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0327  acc: 0.6259  lr: 0.0000 
ep/it:468- 305 niter:179550  894m 18s (- 1967m 10s) completed: 31%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0351  acc: 0.6241  lr: 0.0000 
ep/it:468- 355 niter:179600  894m 34s (- 1966m 59s) completed: 31%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0343  acc: 0.6280  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.601
ep/it:469-  22 niter:179650  894m 55s (- 1966m 55s) completed: 31%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0314  acc: 0.6272  lr: 0.0000 
ep/it:469-  72 niter:179700  895m 11s (- 1966m 43s) completed: 31%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0335  acc: 0.6260  lr: 0.0000 
ep/it:469- 122 niter:179750  895m 27s (- 1966m 31s) completed: 31%) loss_emb: 0.0000  loss: 1.2964  loss_TTT: 0.0342  acc: 0.6168  lr: 0.0000 
ep/it:469- 172 niter:179800  895m 45s (- 1966m 21s) completed: 31%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0344  acc: 0.6333  lr: 0.0000 
ep/it:469- 222 niter:179850  896m 1s (- 1966m 10s) completed: 31%) loss_emb: 0.0000  loss: 1.2462  loss_TTT: 0.0335  acc: 0.6317  lr: 0.0000 
ep/it:469- 272 niter:179900  896m 17s (- 1965m 58s) completed: 31%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0327  acc: 0.6193  lr: 0.0000 
ep/it:469- 322 niter:179950  896m 34s (- 1965m 46s) completed: 31%) loss_emb: 0.0000  loss: 1.2358  loss_TTT: 0.0310  acc: 0.6338  lr: 0.0000 
ep/it:469- 372 niter:180000  896m 50s (- 1965m 34s) completed: 31%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0330  acc: 0.6288  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.592

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.00it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.05it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.35it/s]
100%|██████████| 47/47 [00:06<00:00,  7.47it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5383831970393658 avg: 2.5383831970393658
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5229141977615654 avg: 2.5306486974004656
--> 	 Eva. Repeat 22 :, FID. 0.1314, Diversity Real. 9.4848, Diversity. 9.6148, R_precision_real. [0.51660156 0.70996094 0.79882812], R_precision. [0.50195312 0.6953125  0.79492188], matching_score_real. 2.9022, matching_score_pred. 3.0043, skate_ratio. 0.0471, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5205 (traj_fail_50cm (Traj err)): 0.2910 (kps_fail_20cm): 0.3549 (kps_fail_50cm (Loc. err)): 0.1968 (kps_mean_err(m) (Avg. err)): 0.3714 
ep/it:470-  39 niter:180050  897m 19s (- 1965m 49s) completed: 31%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0341  acc: 0.6295  lr: 0.0000 
ep/it:470-  89 niter:180100  897m 35s (- 1965m 37s) completed: 31%) loss_emb: 0.0000  loss: 1.2559  loss_TTT: 0.0329  acc: 0.6287  lr: 0.0000 
ep/it:470- 139 niter:180150  897m 51s (- 1965m 25s) completed: 31%) loss_emb: 0.0000  loss: 1.2661  loss_TTT: 0.0338  acc: 0.6251  lr: 0.0000 
ep/it:470- 189 niter:180200  898m 9s (- 1965m 15s) completed: 31%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0334  acc: 0.6258  lr: 0.0000 
ep/it:470- 239 niter:180250  898m 25s (- 1965m 5s) completed: 31%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0349  acc: 0.6291  lr: 0.0000 
ep/it:470- 289 niter:180300  898m 42s (- 1964m 53s) completed: 31%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0335  acc: 0.6272  lr: 0.0000 
ep/it:470- 339 niter:180350  898m 59s (- 1964m 42s) completed: 31%) loss_emb: 0.0000  loss: 1.2837  loss_TTT: 0.0333  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.597
ep/it:471-   6 niter:180400  899m 20s (- 1964m 40s) completed: 31%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0333  acc: 0.6213  lr: 0.0000 
ep/it:471-  56 niter:180450  899m 36s (- 1964m 29s) completed: 31%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0325  acc: 0.6303  lr: 0.0000 
ep/it:471- 106 niter:180500  899m 53s (- 1964m 17s) completed: 31%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0323  acc: 0.6231  lr: 0.0000 
ep/it:471- 156 niter:180550  900m 10s (- 1964m 7s) completed: 31%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0317  acc: 0.6305  lr: 0.0000 
ep/it:471- 206 niter:180600  900m 27s (- 1963m 57s) completed: 31%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0331  acc: 0.6293  lr: 0.0000 
ep/it:471- 256 niter:180650  900m 44s (- 1963m 47s) completed: 31%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0336  acc: 0.6239  lr: 0.0000 
ep/it:471- 306 niter:180700  901m 1s (- 1963m 37s) completed: 31%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0320  acc: 0.6201  lr: 0.0000 
ep/it:471- 356 niter:180750  901m 18s (- 1963m 26s) completed: 31%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0326  acc: 0.6229  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.597
ep/it:472-  23 niter:180800  901m 39s (- 1963m 23s) completed: 31%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0324  acc: 0.6248  lr: 0.0000 
ep/it:472-  73 niter:180850  901m 56s (- 1963m 13s) completed: 31%) loss_emb: 0.0000  loss: 1.2194  loss_TTT: 0.0322  acc: 0.6368  lr: 0.0000 
ep/it:472- 123 niter:180900  902m 13s (- 1963m 2s) completed: 31%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0325  acc: 0.6249  lr: 0.0000 
ep/it:472- 173 niter:180950  902m 29s (- 1962m 50s) completed: 31%) loss_emb: 0.0000  loss: 1.2646  loss_TTT: 0.0335  acc: 0.6268  lr: 0.0000 
ep/it:472- 223 niter:181000  902m 46s (- 1962m 39s) completed: 31%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0330  acc: 0.6241  lr: 0.0000 
ep/it:472- 273 niter:181050  903m 3s (- 1962m 28s) completed: 31%) loss_emb: 0.0000  loss: 1.3079  loss_TTT: 0.0327  acc: 0.6140  lr: 0.0000 
ep/it:472- 323 niter:181100  903m 19s (- 1962m 17s) completed: 31%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0330  acc: 0.6261  lr: 0.0000 
ep/it:472- 373 niter:181150  903m 36s (- 1962m 6s) completed: 31%) loss_emb: 0.0000  loss: 1.2445  loss_TTT: 0.0336  acc: 0.6321  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.599
ep/it:473-  40 niter:181200  903m 57s (- 1962m 4s) completed: 31%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0336  acc: 0.6253  lr: 0.0000 
ep/it:473-  90 niter:181250  904m 13s (- 1961m 52s) completed: 31%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0341  acc: 0.6301  lr: 0.0000 
ep/it:473- 140 niter:181300  904m 31s (- 1961m 41s) completed: 31%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0335  acc: 0.6245  lr: 0.0000 
ep/it:473- 190 niter:181350  904m 47s (- 1961m 30s) completed: 31%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0325  acc: 0.6304  lr: 0.0000 
ep/it:473- 240 niter:181400  905m 4s (- 1961m 19s) completed: 31%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0326  acc: 0.6260  lr: 0.0000 
ep/it:473- 290 niter:181450  905m 21s (- 1961m 8s) completed: 31%) loss_emb: 0.0000  loss: 1.2509  loss_TTT: 0.0332  acc: 0.6289  lr: 0.0000 
ep/it:473- 340 niter:181500  905m 38s (- 1960m 57s) completed: 31%) loss_emb: 0.0000  loss: 1.2715  loss_TTT: 0.0316  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.597
ep/it:474-   7 niter:181550  905m 58s (- 1960m 55s) completed: 31%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0333  acc: 0.6306  lr: 0.0000 
ep/it:474-  57 niter:181600  906m 15s (- 1960m 44s) completed: 31%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0338  acc: 0.6228  lr: 0.0000 
ep/it:474- 107 niter:181650  906m 32s (- 1960m 32s) completed: 31%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0329  acc: 0.6280  lr: 0.0000 
ep/it:474- 157 niter:181700  906m 48s (- 1960m 20s) completed: 31%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0317  acc: 0.6252  lr: 0.0000 
ep/it:474- 207 niter:181750  907m 5s (- 1960m 9s) completed: 31%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0326  acc: 0.6240  lr: 0.0000 
ep/it:474- 257 niter:181800  907m 22s (- 1959m 58s) completed: 31%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0321  acc: 0.6230  lr: 0.0000 
ep/it:474- 307 niter:181850  907m 39s (- 1959m 47s) completed: 31%) loss_emb: 0.0000  loss: 1.2745  loss_TTT: 0.0348  acc: 0.6239  lr: 0.0000 
ep/it:474- 357 niter:181900  907m 55s (- 1959m 36s) completed: 31%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0328  acc: 0.6274  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.606
ep/it:475-  24 niter:181950  908m 16s (- 1959m 33s) completed: 31%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0321  acc: 0.6340  lr: 0.0000 
ep/it:475-  74 niter:182000  908m 32s (- 1959m 22s) completed: 31%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0342  acc: 0.6253  lr: 0.0000 
ep/it:475- 124 niter:182050  908m 49s (- 1959m 10s) completed: 31%) loss_emb: 0.0000  loss: 1.2313  loss_TTT: 0.0328  acc: 0.6344  lr: 0.0000 
ep/it:475- 174 niter:182100  909m 7s (- 1959m 1s) completed: 31%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0335  acc: 0.6269  lr: 0.0000 
ep/it:475- 224 niter:182150  909m 24s (- 1958m 50s) completed: 31%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0340  acc: 0.6270  lr: 0.0000 
ep/it:475- 274 niter:182200  909m 40s (- 1958m 38s) completed: 31%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0341  acc: 0.6264  lr: 0.0000 
ep/it:475- 324 niter:182250  909m 56s (- 1958m 25s) completed: 31%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0344  acc: 0.6254  lr: 0.0000 
ep/it:475- 374 niter:182300  910m 13s (- 1958m 14s) completed: 31%) loss_emb: 0.0000  loss: 1.2428  loss_TTT: 0.0315  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.407, accuracy:0.604
ep/it:476-  41 niter:182350  910m 33s (- 1958m 10s) completed: 31%) loss_emb: 0.0000  loss: 1.2359  loss_TTT: 0.0328  acc: 0.6340  lr: 0.0000 
ep/it:476-  91 niter:182400  910m 49s (- 1957m 58s) completed: 31%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0332  acc: 0.6335  lr: 0.0000 
ep/it:476- 141 niter:182450  911m 6s (- 1957m 46s) completed: 31%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0333  acc: 0.6254  lr: 0.0000 
ep/it:476- 191 niter:182500  911m 22s (- 1957m 34s) completed: 31%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0338  acc: 0.6245  lr: 0.0000 
ep/it:476- 241 niter:182550  911m 38s (- 1957m 23s) completed: 31%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0343  acc: 0.6248  lr: 0.0000 
ep/it:476- 291 niter:182600  911m 55s (- 1957m 10s) completed: 31%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0338  acc: 0.6225  lr: 0.0000 
ep/it:476- 341 niter:182650  912m 11s (- 1956m 58s) completed: 31%) loss_emb: 0.0000  loss: 1.2619  loss_TTT: 0.0340  acc: 0.6268  lr: 0.0000 
Validation time:
Validation loss:1.469, accuracy:0.588
ep/it:477-   8 niter:182700  912m 31s (- 1956m 54s) completed: 31%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0316  acc: 0.6338  lr: 0.0000 
ep/it:477-  58 niter:182750  912m 48s (- 1956m 43s) completed: 31%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0336  acc: 0.6269  lr: 0.0000 
ep/it:477- 108 niter:182800  913m 4s (- 1956m 31s) completed: 31%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0326  acc: 0.6180  lr: 0.0000 
ep/it:477- 158 niter:182850  913m 21s (- 1956m 21s) completed: 31%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0333  acc: 0.6261  lr: 0.0000 
ep/it:477- 208 niter:182900  913m 38s (- 1956m 10s) completed: 31%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0342  acc: 0.6201  lr: 0.0000 
ep/it:477- 258 niter:182950  913m 55s (- 1955m 58s) completed: 31%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0335  acc: 0.6311  lr: 0.0000 
ep/it:477- 308 niter:183000  914m 12s (- 1955m 47s) completed: 31%) loss_emb: 0.0000  loss: 1.2817  loss_TTT: 0.0320  acc: 0.6215  lr: 0.0000 
ep/it:477- 358 niter:183050  914m 29s (- 1955m 38s) completed: 31%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0326  acc: 0.6282  lr: 0.0000 
Validation time:
Validation loss:1.392, accuracy:0.609
ep/it:478-  25 niter:183100  914m 50s (- 1955m 35s) completed: 31%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0344  acc: 0.6241  lr: 0.0000 
ep/it:478-  75 niter:183150  915m 7s (- 1955m 23s) completed: 31%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0332  acc: 0.6214  lr: 0.0000 
ep/it:478- 125 niter:183200  915m 23s (- 1955m 12s) completed: 31%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0332  acc: 0.6224  lr: 0.0000 
ep/it:478- 175 niter:183250  915m 40s (- 1955m 2s) completed: 31%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0330  acc: 0.6284  lr: 0.0000 
ep/it:478- 225 niter:183300  915m 57s (- 1954m 50s) completed: 31%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0330  acc: 0.6310  lr: 0.0000 
ep/it:478- 275 niter:183350  916m 15s (- 1954m 41s) completed: 31%) loss_emb: 0.0000  loss: 1.2770  loss_TTT: 0.0354  acc: 0.6225  lr: 0.0000 
ep/it:478- 325 niter:183400  916m 31s (- 1954m 29s) completed: 31%) loss_emb: 0.0000  loss: 1.2867  loss_TTT: 0.0335  acc: 0.6201  lr: 0.0000 
ep/it:478- 375 niter:183450  916m 48s (- 1954m 18s) completed: 31%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0333  acc: 0.6286  lr: 0.0000 
Validation time:
Validation loss:1.476, accuracy:0.587
ep/it:479-  42 niter:183500  917m 9s (- 1954m 15s) completed: 31%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0334  acc: 0.6272  lr: 0.0000 
ep/it:479-  92 niter:183550  917m 26s (- 1954m 5s) completed: 31%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0343  acc: 0.6254  lr: 0.0000 
ep/it:479- 142 niter:183600  917m 42s (- 1953m 52s) completed: 31%) loss_emb: 0.0000  loss: 1.2945  loss_TTT: 0.0332  acc: 0.6172  lr: 0.0000 
ep/it:479- 192 niter:183650  917m 59s (- 1953m 42s) completed: 31%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0318  acc: 0.6257  lr: 0.0000 
ep/it:479- 242 niter:183700  918m 16s (- 1953m 30s) completed: 31%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0342  acc: 0.6292  lr: 0.0000 
ep/it:479- 292 niter:183750  918m 32s (- 1953m 18s) completed: 31%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0316  acc: 0.6240  lr: 0.0000 
ep/it:479- 342 niter:183800  918m 49s (- 1953m 6s) completed: 31%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0337  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.49it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.79it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  5.00it/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:  2.565222845878452 avg: 2.565222845878452
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5420906017534435 avg: 2.5536567238159478
--> 	 Eva. Repeat 22 :, FID. 0.1441, Diversity Real. 9.3801, Diversity. 9.9534, R_precision_real. [0.51660156 0.70410156 0.79882812], R_precision. [0.51855469 0.69921875 0.80566406], matching_score_real. 2.9339, matching_score_pred. 2.9321, skate_ratio. 0.0490, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4893 (traj_fail_50cm (Traj err)): 0.2793 (kps_fail_20cm): 0.3467 (kps_fail_50cm (Loc. err)): 0.1878 (kps_mean_err(m) (Avg. err)): 0.3518 
ep/it:480-   9 niter:183850  919m 18s (- 1953m 21s) completed: 32%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0331  acc: 0.6298  lr: 0.0000 
ep/it:480-  59 niter:183900  919m 34s (- 1953m 9s) completed: 32%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0334  acc: 0.6251  lr: 0.0000 
ep/it:480- 109 niter:183950  919m 51s (- 1952m 58s) completed: 32%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0347  acc: 0.6249  lr: 0.0000 
ep/it:480- 159 niter:184000  920m 7s (- 1952m 46s) completed: 32%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0330  acc: 0.6271  lr: 0.0000 
ep/it:480- 209 niter:184050  920m 24s (- 1952m 34s) completed: 32%) loss_emb: 0.0000  loss: 1.2811  loss_TTT: 0.0328  acc: 0.6214  lr: 0.0000 
ep/it:480- 259 niter:184100  920m 40s (- 1952m 22s) completed: 32%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0320  acc: 0.6201  lr: 0.0000 
ep/it:480- 309 niter:184150  920m 57s (- 1952m 11s) completed: 32%) loss_emb: 0.0000  loss: 1.2539  loss_TTT: 0.0335  acc: 0.6290  lr: 0.0000 
ep/it:480- 359 niter:184200  921m 14s (- 1952m 0s) completed: 32%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0338  acc: 0.6272  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.600
ep/it:481-  26 niter:184250  921m 34s (- 1951m 56s) completed: 32%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0333  acc: 0.6211  lr: 0.0000 
ep/it:481-  76 niter:184300  921m 50s (- 1951m 44s) completed: 32%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0322  acc: 0.6293  lr: 0.0000 
ep/it:481- 126 niter:184350  922m 7s (- 1951m 31s) completed: 32%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0323  acc: 0.6204  lr: 0.0000 
ep/it:481- 176 niter:184400  922m 23s (- 1951m 19s) completed: 32%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0332  acc: 0.6277  lr: 0.0000 
ep/it:481- 226 niter:184450  922m 39s (- 1951m 7s) completed: 32%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0351  acc: 0.6258  lr: 0.0000 
ep/it:481- 276 niter:184500  922m 55s (- 1950m 54s) completed: 32%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0317  acc: 0.6272  lr: 0.0000 
ep/it:481- 326 niter:184550  923m 12s (- 1950m 43s) completed: 32%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0335  acc: 0.6249  lr: 0.0000 
ep/it:481- 376 niter:184600  923m 29s (- 1950m 32s) completed: 32%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0339  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.595
ep/it:482-  43 niter:184650  923m 49s (- 1950m 28s) completed: 32%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0324  acc: 0.6323  lr: 0.0000 
ep/it:482-  93 niter:184700  924m 6s (- 1950m 17s) completed: 32%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0315  acc: 0.6221  lr: 0.0000 
ep/it:482- 143 niter:184750  924m 23s (- 1950m 6s) completed: 32%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0325  acc: 0.6291  lr: 0.0000 
ep/it:482- 193 niter:184800  924m 40s (- 1949m 56s) completed: 32%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0338  acc: 0.6289  lr: 0.0000 
ep/it:482- 243 niter:184850  924m 57s (- 1949m 44s) completed: 32%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0322  acc: 0.6250  lr: 0.0000 
ep/it:482- 293 niter:184900  925m 14s (- 1949m 33s) completed: 32%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0346  acc: 0.6238  lr: 0.0000 
ep/it:482- 343 niter:184950  925m 31s (- 1949m 22s) completed: 32%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0336  acc: 0.6196  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.590
ep/it:483-  10 niter:185000  925m 51s (- 1949m 18s) completed: 32%) loss_emb: 0.0000  loss: 1.2401  loss_TTT: 0.0333  acc: 0.6339  lr: 0.0000 
ep/it:483-  60 niter:185050  926m 7s (- 1949m 6s) completed: 32%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0340  acc: 0.6320  lr: 0.0000 
ep/it:483- 110 niter:185100  926m 24s (- 1948m 54s) completed: 32%) loss_emb: 0.0000  loss: 1.2523  loss_TTT: 0.0307  acc: 0.6298  lr: 0.0000 
ep/it:483- 160 niter:185150  926m 40s (- 1948m 41s) completed: 32%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0328  acc: 0.6318  lr: 0.0000 
ep/it:483- 210 niter:185200  926m 57s (- 1948m 29s) completed: 32%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0349  acc: 0.6279  lr: 0.0000 
ep/it:483- 260 niter:185250  927m 13s (- 1948m 18s) completed: 32%) loss_emb: 0.0000  loss: 1.2436  loss_TTT: 0.0324  acc: 0.6316  lr: 0.0000 
ep/it:483- 310 niter:185300  927m 30s (- 1948m 6s) completed: 32%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0340  acc: 0.6253  lr: 0.0000 
ep/it:483- 360 niter:185350  927m 46s (- 1947m 54s) completed: 32%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0336  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.590
ep/it:484-  27 niter:185400  928m 6s (- 1947m 50s) completed: 32%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0344  acc: 0.6271  lr: 0.0000 
ep/it:484-  77 niter:185450  928m 24s (- 1947m 39s) completed: 32%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0334  acc: 0.6210  lr: 0.0000 
ep/it:484- 127 niter:185500  928m 40s (- 1947m 27s) completed: 32%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0317  acc: 0.6304  lr: 0.0000 
ep/it:484- 177 niter:185550  928m 57s (- 1947m 17s) completed: 32%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0319  acc: 0.6311  lr: 0.0000 
ep/it:484- 227 niter:185600  929m 13s (- 1947m 5s) completed: 32%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0341  acc: 0.6244  lr: 0.0000 
ep/it:484- 277 niter:185650  929m 31s (- 1946m 54s) completed: 32%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0329  acc: 0.6254  lr: 0.0000 
ep/it:484- 327 niter:185700  929m 47s (- 1946m 43s) completed: 32%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0356  acc: 0.6271  lr: 0.0000 
ep/it:484- 377 niter:185750  930m 4s (- 1946m 30s) completed: 32%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0341  acc: 0.6214  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.603
ep/it:485-  44 niter:185800  930m 24s (- 1946m 27s) completed: 32%) loss_emb: 0.0000  loss: 1.2661  loss_TTT: 0.0351  acc: 0.6270  lr: 0.0000 
ep/it:485-  94 niter:185850  930m 41s (- 1946m 15s) completed: 32%) loss_emb: 0.0000  loss: 1.2554  loss_TTT: 0.0325  acc: 0.6289  lr: 0.0000 
ep/it:485- 144 niter:185900  930m 58s (- 1946m 5s) completed: 32%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0313  acc: 0.6306  lr: 0.0000 
ep/it:485- 194 niter:185950  931m 14s (- 1945m 52s) completed: 32%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0330  acc: 0.6283  lr: 0.0000 
ep/it:485- 244 niter:186000  931m 31s (- 1945m 40s) completed: 32%) loss_emb: 0.0000  loss: 1.2860  loss_TTT: 0.0333  acc: 0.6199  lr: 0.0000 
ep/it:485- 294 niter:186050  931m 48s (- 1945m 29s) completed: 32%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0331  acc: 0.6206  lr: 0.0000 
ep/it:485- 344 niter:186100  932m 4s (- 1945m 17s) completed: 32%) loss_emb: 0.0000  loss: 1.2560  loss_TTT: 0.0342  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.603
ep/it:486-  11 niter:186150  932m 24s (- 1945m 12s) completed: 32%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0340  acc: 0.6302  lr: 0.0000 
ep/it:486-  61 niter:186200  932m 41s (- 1945m 0s) completed: 32%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0325  acc: 0.6279  lr: 0.0000 
ep/it:486- 111 niter:186250  932m 58s (- 1944m 50s) completed: 32%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0331  acc: 0.6266  lr: 0.0000 
ep/it:486- 161 niter:186300  933m 15s (- 1944m 39s) completed: 32%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0326  acc: 0.6207  lr: 0.0000 
ep/it:486- 211 niter:186350  933m 31s (- 1944m 27s) completed: 32%) loss_emb: 0.0000  loss: 1.2641  loss_TTT: 0.0314  acc: 0.6247  lr: 0.0000 
ep/it:486- 261 niter:186400  933m 48s (- 1944m 15s) completed: 32%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0330  acc: 0.6279  lr: 0.0000 
ep/it:486- 311 niter:186450  934m 5s (- 1944m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.2501  loss_TTT: 0.0327  acc: 0.6304  lr: 0.0000 
ep/it:486- 361 niter:186500  934m 22s (- 1943m 53s) completed: 32%) loss_emb: 0.0000  loss: 1.2678  loss_TTT: 0.0339  acc: 0.6259  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.601
ep/it:487-  28 niter:186550  934m 43s (- 1943m 51s) completed: 32%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0343  acc: 0.6262  lr: 0.0000 
ep/it:487-  78 niter:186600  935m 0s (- 1943m 39s) completed: 32%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0325  acc: 0.6251  lr: 0.0000 
ep/it:487- 128 niter:186650  935m 16s (- 1943m 28s) completed: 32%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0337  acc: 0.6258  lr: 0.0000 
ep/it:487- 178 niter:186700  935m 34s (- 1943m 18s) completed: 32%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0322  acc: 0.6205  lr: 0.0000 
ep/it:487- 228 niter:186750  935m 50s (- 1943m 6s) completed: 32%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0333  acc: 0.6261  lr: 0.0000 
ep/it:487- 278 niter:186800  936m 7s (- 1942m 54s) completed: 32%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0346  acc: 0.6290  lr: 0.0000 
ep/it:487- 328 niter:186850  936m 24s (- 1942m 43s) completed: 32%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0323  acc: 0.6260  lr: 0.0000 
ep/it:487- 378 niter:186900  936m 40s (- 1942m 31s) completed: 32%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0323  acc: 0.6318  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:488-  45 niter:186950  937m 1s (- 1942m 28s) completed: 32%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0317  acc: 0.6317  lr: 0.0000 
ep/it:488-  95 niter:187000  937m 18s (- 1942m 16s) completed: 32%) loss_emb: 0.0000  loss: 1.2732  loss_TTT: 0.0335  acc: 0.6224  lr: 0.0000 
ep/it:488- 145 niter:187050  937m 34s (- 1942m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0337  acc: 0.6216  lr: 0.0000 
ep/it:488- 195 niter:187100  937m 51s (- 1941m 52s) completed: 32%) loss_emb: 0.0000  loss: 1.2638  loss_TTT: 0.0341  acc: 0.6261  lr: 0.0000 
ep/it:488- 245 niter:187150  938m 8s (- 1941m 41s) completed: 32%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0329  acc: 0.6241  lr: 0.0000 
ep/it:488- 295 niter:187200  938m 24s (- 1941m 29s) completed: 32%) loss_emb: 0.0000  loss: 1.2661  loss_TTT: 0.0334  acc: 0.6249  lr: 0.0000 
ep/it:488- 345 niter:187250  938m 41s (- 1941m 18s) completed: 32%) loss_emb: 0.0000  loss: 1.2803  loss_TTT: 0.0331  acc: 0.6230  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.592
ep/it:489-  12 niter:187300  939m 1s (- 1941m 14s) completed: 32%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0333  acc: 0.6255  lr: 0.0000 
ep/it:489-  62 niter:187350  939m 18s (- 1941m 1s) completed: 32%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0312  acc: 0.6262  lr: 0.0000 
ep/it:489- 112 niter:187400  939m 35s (- 1940m 50s) completed: 32%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0330  acc: 0.6255  lr: 0.0000 
ep/it:489- 162 niter:187450  939m 51s (- 1940m 38s) completed: 32%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0336  acc: 0.6223  lr: 0.0000 
ep/it:489- 212 niter:187500  940m 8s (- 1940m 27s) completed: 32%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0343  acc: 0.6309  lr: 0.0000 
ep/it:489- 262 niter:187550  940m 25s (- 1940m 16s) completed: 32%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0337  acc: 0.6249  lr: 0.0000 
ep/it:489- 312 niter:187600  940m 42s (- 1940m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.2527  loss_TTT: 0.0339  acc: 0.6296  lr: 0.0000 
ep/it:489- 362 niter:187650  940m 57s (- 1939m 50s) completed: 32%) loss_emb: 0.0000  loss: 1.2273  loss_TTT: 0.0323  acc: 0.6356  lr: 0.0000 
Validation time:
Validation loss:1.466, accuracy:0.587

  0%|          | 0/47 [00:00<?, ?it/s]
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 34%|███▍      | 16/47 [00:03<00:06,  4.84it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.07it/s]
100%|██████████| 47/47 [00:06<00:00,  7.12it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.550029548816383 avg: 2.550029548816383
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5293005383573472 avg: 2.539665043586865
--> 	 Eva. Repeat 22 :, FID. 0.1405, Diversity Real. 9.5405, Diversity. 9.3377, R_precision_real. [0.51953125 0.70507812 0.80566406], R_precision. [0.51367188 0.69726562 0.79589844], matching_score_real. 2.8849, matching_score_pred. 2.9771, skate_ratio. 0.0443, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4961 (traj_fail_50cm (Traj err)): 0.2646 (kps_fail_20cm): 0.3514 (kps_fail_50cm (Loc. err)): 0.1724 (kps_mean_err(m) (Avg. err)): 0.3281 
ep/it:490-  29 niter:187700  941m 26s (- 1940m 4s) completed: 32%) loss_emb: 0.0000  loss: 1.2905  loss_TTT: 0.0350  acc: 0.6188  lr: 0.0000 
ep/it:490-  79 niter:187750  941m 42s (- 1939m 51s) completed: 32%) loss_emb: 0.0000  loss: 1.2478  loss_TTT: 0.0334  acc: 0.6302  lr: 0.0000 
ep/it:490- 129 niter:187800  941m 59s (- 1939m 40s) completed: 32%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0348  acc: 0.6227  lr: 0.0000 
ep/it:490- 179 niter:187850  942m 15s (- 1939m 27s) completed: 32%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0326  acc: 0.6290  lr: 0.0000 
ep/it:490- 229 niter:187900  942m 32s (- 1939m 15s) completed: 32%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0319  acc: 0.6311  lr: 0.0000 
ep/it:490- 279 niter:187950  942m 49s (- 1939m 3s) completed: 32%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0326  acc: 0.6262  lr: 0.0000 
ep/it:490- 329 niter:188000  943m 6s (- 1938m 52s) completed: 32%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0316  acc: 0.6305  lr: 0.0000 
ep/it:490- 379 niter:188050  943m 23s (- 1938m 41s) completed: 32%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0321  acc: 0.6271  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.597
ep/it:491-  46 niter:188100  943m 43s (- 1938m 38s) completed: 32%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0341  acc: 0.6243  lr: 0.0000 
ep/it:491-  96 niter:188150  944m 0s (- 1938m 26s) completed: 32%) loss_emb: 0.0000  loss: 1.2501  loss_TTT: 0.0328  acc: 0.6306  lr: 0.0000 
ep/it:491- 146 niter:188200  944m 17s (- 1938m 14s) completed: 32%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0316  acc: 0.6338  lr: 0.0000 
ep/it:491- 196 niter:188250  944m 34s (- 1938m 3s) completed: 32%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0333  acc: 0.6290  lr: 0.0000 
ep/it:491- 246 niter:188300  944m 50s (- 1937m 50s) completed: 32%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0322  acc: 0.6265  lr: 0.0000 
ep/it:491- 296 niter:188350  945m 7s (- 1937m 39s) completed: 32%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0338  acc: 0.6306  lr: 0.0000 
ep/it:491- 346 niter:188400  945m 23s (- 1937m 28s) completed: 32%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0333  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.598
ep/it:492-  13 niter:188450  945m 44s (- 1937m 24s) completed: 32%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0324  acc: 0.6250  lr: 0.0000 
ep/it:492-  63 niter:188500  946m 1s (- 1937m 12s) completed: 32%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0334  acc: 0.6295  lr: 0.0000 
ep/it:492- 113 niter:188550  946m 18s (- 1937m 1s) completed: 32%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0336  acc: 0.6204  lr: 0.0000 
ep/it:492- 163 niter:188600  946m 35s (- 1936m 50s) completed: 32%) loss_emb: 0.0000  loss: 1.2502  loss_TTT: 0.0339  acc: 0.6295  lr: 0.0000 
ep/it:492- 213 niter:188650  946m 51s (- 1936m 38s) completed: 32%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0333  acc: 0.6332  lr: 0.0000 
ep/it:492- 263 niter:188700  947m 8s (- 1936m 27s) completed: 32%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0330  acc: 0.6301  lr: 0.0000 
ep/it:492- 313 niter:188750  947m 25s (- 1936m 15s) completed: 32%) loss_emb: 0.0000  loss: 1.2622  loss_TTT: 0.0329  acc: 0.6263  lr: 0.0000 
ep/it:492- 363 niter:188800  947m 42s (- 1936m 3s) completed: 32%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0328  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.416, accuracy:0.603
ep/it:493-  30 niter:188850  948m 2s (- 1936m 0s) completed: 32%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0323  acc: 0.6280  lr: 0.0000 
ep/it:493-  80 niter:188900  948m 19s (- 1935m 47s) completed: 32%) loss_emb: 0.0000  loss: 1.2836  loss_TTT: 0.0336  acc: 0.6203  lr: 0.0000 
ep/it:493- 130 niter:188950  948m 35s (- 1935m 36s) completed: 32%) loss_emb: 0.0000  loss: 1.2854  loss_TTT: 0.0333  acc: 0.6203  lr: 0.0000 
ep/it:493- 180 niter:189000  948m 53s (- 1935m 25s) completed: 32%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0338  acc: 0.6298  lr: 0.0000 
ep/it:493- 230 niter:189050  949m 9s (- 1935m 13s) completed: 32%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0316  acc: 0.6269  lr: 0.0000 
ep/it:493- 280 niter:189100  949m 26s (- 1935m 1s) completed: 32%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0328  acc: 0.6317  lr: 0.0000 
ep/it:493- 330 niter:189150  949m 42s (- 1934m 49s) completed: 32%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0325  acc: 0.6233  lr: 0.0000 
ep/it:493- 380 niter:189200  949m 59s (- 1934m 37s) completed: 32%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0336  acc: 0.6198  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.601
ep/it:494-  47 niter:189250  950m 19s (- 1934m 33s) completed: 32%) loss_emb: 0.0000  loss: 1.2345  loss_TTT: 0.0322  acc: 0.6337  lr: 0.0000 
ep/it:494-  97 niter:189300  950m 36s (- 1934m 21s) completed: 32%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0332  acc: 0.6217  lr: 0.0000 
ep/it:494- 147 niter:189350  950m 52s (- 1934m 9s) completed: 32%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0334  acc: 0.6308  lr: 0.0000 
ep/it:494- 197 niter:189400  951m 9s (- 1933m 57s) completed: 32%) loss_emb: 0.0000  loss: 1.2867  loss_TTT: 0.0330  acc: 0.6204  lr: 0.0000 
ep/it:494- 247 niter:189450  951m 26s (- 1933m 45s) completed: 32%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0341  acc: 0.6300  lr: 0.0000 
ep/it:494- 297 niter:189500  951m 42s (- 1933m 33s) completed: 32%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0321  acc: 0.6220  lr: 0.0000 
ep/it:494- 347 niter:189550  951m 59s (- 1933m 22s) completed: 32%) loss_emb: 0.0000  loss: 1.2357  loss_TTT: 0.0328  acc: 0.6351  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.599
ep/it:495-  14 niter:189600  952m 20s (- 1933m 18s) completed: 33%) loss_emb: 0.0000  loss: 1.2707  loss_TTT: 0.0321  acc: 0.6250  lr: 0.0000 
ep/it:495-  64 niter:189650  952m 37s (- 1933m 6s) completed: 33%) loss_emb: 0.0000  loss: 1.2370  loss_TTT: 0.0322  acc: 0.6326  lr: 0.0000 
ep/it:495- 114 niter:189700  952m 53s (- 1932m 55s) completed: 33%) loss_emb: 0.0000  loss: 1.2474  loss_TTT: 0.0314  acc: 0.6303  lr: 0.0000 
ep/it:495- 164 niter:189750  953m 10s (- 1932m 43s) completed: 33%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0311  acc: 0.6314  lr: 0.0000 
ep/it:495- 214 niter:189800  953m 27s (- 1932m 31s) completed: 33%) loss_emb: 0.0000  loss: 1.2641  loss_TTT: 0.0329  acc: 0.6248  lr: 0.0000 
ep/it:495- 264 niter:189850  953m 43s (- 1932m 19s) completed: 33%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0348  acc: 0.6305  lr: 0.0000 
ep/it:495- 314 niter:189900  954m 0s (- 1932m 7s) completed: 33%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0351  acc: 0.6244  lr: 0.0000 
ep/it:495- 364 niter:189950  954m 17s (- 1931m 56s) completed: 33%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0335  acc: 0.6207  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.596
ep/it:496-  31 niter:190000  954m 38s (- 1931m 52s) completed: 33%) loss_emb: 0.0000  loss: 1.2811  loss_TTT: 0.0325  acc: 0.6206  lr: 0.0000 
ep/it:496-  81 niter:190050  954m 55s (- 1931m 42s) completed: 33%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0335  acc: 0.6263  lr: 0.0000 
ep/it:496- 131 niter:190100  955m 11s (- 1931m 30s) completed: 33%) loss_emb: 0.0000  loss: 1.2898  loss_TTT: 0.0333  acc: 0.6189  lr: 0.0000 
ep/it:496- 181 niter:190150  955m 28s (- 1931m 17s) completed: 33%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0339  acc: 0.6274  lr: 0.0000 
ep/it:496- 231 niter:190200  955m 45s (- 1931m 5s) completed: 33%) loss_emb: 0.0000  loss: 1.2428  loss_TTT: 0.0342  acc: 0.6324  lr: 0.0000 
ep/it:496- 281 niter:190250  956m 1s (- 1930m 53s) completed: 33%) loss_emb: 0.0000  loss: 1.2825  loss_TTT: 0.0335  acc: 0.6215  lr: 0.0000 
ep/it:496- 331 niter:190300  956m 17s (- 1930m 41s) completed: 33%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0324  acc: 0.6320  lr: 0.0000 
ep/it:496- 381 niter:190350  956m 34s (- 1930m 30s) completed: 33%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0336  acc: 0.6299  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.599
ep/it:497-  48 niter:190400  956m 55s (- 1930m 26s) completed: 33%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0340  acc: 0.6269  lr: 0.0000 
ep/it:497-  98 niter:190450  957m 11s (- 1930m 13s) completed: 33%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0330  acc: 0.6346  lr: 0.0000 
ep/it:497- 148 niter:190500  957m 28s (- 1930m 1s) completed: 33%) loss_emb: 0.0000  loss: 1.2844  loss_TTT: 0.0326  acc: 0.6201  lr: 0.0000 
ep/it:497- 198 niter:190550  957m 45s (- 1929m 50s) completed: 33%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0322  acc: 0.6252  lr: 0.0000 
ep/it:497- 248 niter:190600  958m 2s (- 1929m 39s) completed: 33%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0325  acc: 0.6286  lr: 0.0000 
ep/it:497- 298 niter:190650  958m 18s (- 1929m 26s) completed: 33%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0332  acc: 0.6218  lr: 0.0000 
ep/it:497- 348 niter:190700  958m 35s (- 1929m 15s) completed: 33%) loss_emb: 0.0000  loss: 1.2560  loss_TTT: 0.0314  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.598
ep/it:498-  15 niter:190750  958m 56s (- 1929m 11s) completed: 33%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0333  acc: 0.6247  lr: 0.0000 
ep/it:498-  65 niter:190800  959m 13s (- 1928m 59s) completed: 33%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0335  acc: 0.6255  lr: 0.0000 
ep/it:498- 115 niter:190850  959m 29s (- 1928m 47s) completed: 33%) loss_emb: 0.0000  loss: 1.2632  loss_TTT: 0.0319  acc: 0.6267  lr: 0.0000 
ep/it:498- 165 niter:190900  959m 46s (- 1928m 36s) completed: 33%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0328  acc: 0.6264  lr: 0.0000 
ep/it:498- 215 niter:190950  960m 3s (- 1928m 25s) completed: 33%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0316  acc: 0.6241  lr: 0.0000 
ep/it:498- 265 niter:191000  960m 20s (- 1928m 13s) completed: 33%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0335  acc: 0.6305  lr: 0.0000 
ep/it:498- 315 niter:191050  960m 37s (- 1928m 2s) completed: 33%) loss_emb: 0.0000  loss: 1.2509  loss_TTT: 0.0337  acc: 0.6302  lr: 0.0000 
ep/it:498- 365 niter:191100  960m 54s (- 1927m 50s) completed: 33%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0339  acc: 0.6219  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.596
ep/it:499-  32 niter:191150  961m 15s (- 1927m 47s) completed: 33%) loss_emb: 0.0000  loss: 1.2379  loss_TTT: 0.0324  acc: 0.6330  lr: 0.0000 
ep/it:499-  82 niter:191200  961m 32s (- 1927m 35s) completed: 33%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0320  acc: 0.6262  lr: 0.0000 
ep/it:499- 132 niter:191250  961m 48s (- 1927m 22s) completed: 33%) loss_emb: 0.0000  loss: 1.2229  loss_TTT: 0.0327  acc: 0.6375  lr: 0.0000 
ep/it:499- 182 niter:191300  962m 5s (- 1927m 11s) completed: 33%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0299  acc: 0.6309  lr: 0.0000 
ep/it:499- 232 niter:191350  962m 21s (- 1926m 58s) completed: 33%) loss_emb: 0.0000  loss: 1.2674  loss_TTT: 0.0335  acc: 0.6264  lr: 0.0000 
ep/it:499- 282 niter:191400  962m 38s (- 1926m 47s) completed: 33%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0317  acc: 0.6258  lr: 0.0000 
ep/it:499- 332 niter:191450  962m 55s (- 1926m 37s) completed: 33%) loss_emb: 0.0000  loss: 1.2559  loss_TTT: 0.0336  acc: 0.6292  lr: 0.0000 
ep/it:499- 382 niter:191500  963m 12s (- 1926m 24s) completed: 33%) loss_emb: 0.0000  loss: 1.2571  loss_TTT: 0.0334  acc: 0.6276  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.597

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 34%|███▍      | 16/47 [00:03<00:06,  4.61it/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:  2.5613819896243513 avg: 2.5613819896243513
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.534642670303583 avg: 2.548012329963967
--> 	 Eva. Repeat 22 :, FID. 0.1393, Diversity Real. 9.5783, Diversity. 9.5204, R_precision_real. [0.51074219 0.71191406 0.80371094], R_precision. [0.50097656 0.6875     0.78710938], matching_score_real. 2.9147, matching_score_pred. 3.0163, skate_ratio. 0.0435, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5000 (traj_fail_50cm (Traj err)): 0.2783 (kps_fail_20cm): 0.3597 (kps_fail_50cm (Loc. err)): 0.1823 (kps_mean_err(m) (Avg. err)): 0.3449 
ep/it:500-  49 niter:191550  963m 41s (- 1926m 38s) completed: 33%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0333  acc: 0.6310  lr: 0.0000 
ep/it:500-  99 niter:191600  963m 58s (- 1926m 26s) completed: 33%) loss_emb: 0.0000  loss: 1.2803  loss_TTT: 0.0332  acc: 0.6223  lr: 0.0000 
ep/it:500- 149 niter:191650  964m 15s (- 1926m 15s) completed: 33%) loss_emb: 0.0000  loss: 1.2963  loss_TTT: 0.0348  acc: 0.6166  lr: 0.0000 
ep/it:500- 199 niter:191700  964m 32s (- 1926m 3s) completed: 33%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0324  acc: 0.6243  lr: 0.0000 
ep/it:500- 249 niter:191750  964m 49s (- 1925m 52s) completed: 33%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0333  acc: 0.6261  lr: 0.0000 
ep/it:500- 299 niter:191800  965m 6s (- 1925m 41s) completed: 33%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0320  acc: 0.6299  lr: 0.0000 
ep/it:500- 349 niter:191850  965m 22s (- 1925m 28s) completed: 33%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0334  acc: 0.6299  lr: 0.0000 
Validation time:
Validation loss:1.401, accuracy:0.606
ep/it:501-  16 niter:191900  965m 44s (- 1925m 26s) completed: 33%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0331  acc: 0.6276  lr: 0.0000 
ep/it:501-  66 niter:191950  966m 1s (- 1925m 14s) completed: 33%) loss_emb: 0.0000  loss: 1.2469  loss_TTT: 0.0326  acc: 0.6300  lr: 0.0000 
ep/it:501- 116 niter:192000  966m 17s (- 1925m 2s) completed: 33%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0329  acc: 0.6329  lr: 0.0000 
ep/it:501- 166 niter:192050  966m 35s (- 1924m 53s) completed: 33%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0336  acc: 0.6313  lr: 0.0000 
ep/it:501- 216 niter:192100  966m 52s (- 1924m 41s) completed: 33%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0324  acc: 0.6271  lr: 0.0000 
ep/it:501- 266 niter:192150  967m 9s (- 1924m 29s) completed: 33%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0334  acc: 0.6293  lr: 0.0000 
ep/it:501- 316 niter:192200  967m 25s (- 1924m 16s) completed: 33%) loss_emb: 0.0000  loss: 1.2733  loss_TTT: 0.0346  acc: 0.6240  lr: 0.0000 
ep/it:501- 366 niter:192250  967m 42s (- 1924m 4s) completed: 33%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0324  acc: 0.6196  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.590
ep/it:502-  33 niter:192300  968m 2s (- 1924m 0s) completed: 33%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0319  acc: 0.6181  lr: 0.0000 
ep/it:502-  83 niter:192350  968m 19s (- 1923m 47s) completed: 33%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0343  acc: 0.6293  lr: 0.0000 
ep/it:502- 133 niter:192400  968m 35s (- 1923m 35s) completed: 33%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0327  acc: 0.6274  lr: 0.0000 
ep/it:502- 183 niter:192450  968m 51s (- 1923m 23s) completed: 33%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0314  acc: 0.6293  lr: 0.0000 
ep/it:502- 233 niter:192500  969m 8s (- 1923m 9s) completed: 33%) loss_emb: 0.0000  loss: 1.2194  loss_TTT: 0.0324  acc: 0.6383  lr: 0.0000 
ep/it:502- 283 niter:192550  969m 24s (- 1922m 58s) completed: 33%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0336  acc: 0.6287  lr: 0.0000 
ep/it:502- 333 niter:192600  969m 41s (- 1922m 46s) completed: 33%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0339  acc: 0.6236  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.593
ep/it:503-   0 niter:192650  970m 2s (- 1922m 42s) completed: 33%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0335  acc: 0.6310  lr: 0.0000 
ep/it:503-  50 niter:192700  970m 18s (- 1922m 30s) completed: 33%) loss_emb: 0.0000  loss: 1.2669  loss_TTT: 0.0341  acc: 0.6243  lr: 0.0000 
ep/it:503- 100 niter:192750  970m 35s (- 1922m 18s) completed: 33%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0315  acc: 0.6316  lr: 0.0000 
ep/it:503- 150 niter:192800  970m 51s (- 1922m 5s) completed: 33%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0324  acc: 0.6198  lr: 0.0000 
ep/it:503- 200 niter:192850  971m 8s (- 1921m 52s) completed: 33%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0332  acc: 0.6253  lr: 0.0000 
ep/it:503- 250 niter:192900  971m 24s (- 1921m 40s) completed: 33%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0320  acc: 0.6312  lr: 0.0000 
ep/it:503- 300 niter:192950  971m 41s (- 1921m 27s) completed: 33%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0327  acc: 0.6280  lr: 0.0000 
ep/it:503- 350 niter:193000  971m 57s (- 1921m 15s) completed: 33%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0348  acc: 0.6224  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.599
ep/it:504-  17 niter:193050  972m 18s (- 1921m 11s) completed: 33%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0320  acc: 0.6287  lr: 0.0000 
ep/it:504-  67 niter:193100  972m 35s (- 1920m 59s) completed: 33%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0325  acc: 0.6188  lr: 0.0000 
ep/it:504- 117 niter:193150  972m 51s (- 1920m 46s) completed: 33%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0316  acc: 0.6324  lr: 0.0000 
ep/it:504- 167 niter:193200  973m 8s (- 1920m 35s) completed: 33%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0325  acc: 0.6263  lr: 0.0000 
ep/it:504- 217 niter:193250  973m 24s (- 1920m 22s) completed: 33%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0332  acc: 0.6302  lr: 0.0000 
ep/it:504- 267 niter:193300  973m 41s (- 1920m 10s) completed: 33%) loss_emb: 0.0000  loss: 1.2661  loss_TTT: 0.0336  acc: 0.6253  lr: 0.0000 
ep/it:504- 317 niter:193350  973m 57s (- 1919m 57s) completed: 33%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0325  acc: 0.6291  lr: 0.0000 
ep/it:504- 367 niter:193400  974m 14s (- 1919m 45s) completed: 33%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0331  acc: 0.6274  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.600
ep/it:505-  34 niter:193450  974m 34s (- 1919m 41s) completed: 33%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0342  acc: 0.6276  lr: 0.0000 
ep/it:505-  84 niter:193500  974m 51s (- 1919m 29s) completed: 33%) loss_emb: 0.0000  loss: 1.2469  loss_TTT: 0.0320  acc: 0.6308  lr: 0.0000 
ep/it:505- 134 niter:193550  975m 8s (- 1919m 18s) completed: 33%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0317  acc: 0.6308  lr: 0.0000 
ep/it:505- 184 niter:193600  975m 24s (- 1919m 5s) completed: 33%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0335  acc: 0.6200  lr: 0.0000 
ep/it:505- 234 niter:193650  975m 41s (- 1918m 53s) completed: 33%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0331  acc: 0.6244  lr: 0.0000 
ep/it:505- 284 niter:193700  975m 58s (- 1918m 41s) completed: 33%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0334  acc: 0.6230  lr: 0.0000 
ep/it:505- 334 niter:193750  976m 15s (- 1918m 29s) completed: 33%) loss_emb: 0.0000  loss: 1.2788  loss_TTT: 0.0328  acc: 0.6225  lr: 0.0000 
Validation time:
Validation loss:1.466, accuracy:0.590
ep/it:506-   1 niter:193800  976m 35s (- 1918m 25s) completed: 33%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0334  acc: 0.6272  lr: 0.0000 
ep/it:506-  51 niter:193850  976m 52s (- 1918m 14s) completed: 33%) loss_emb: 0.0000  loss: 1.2343  loss_TTT: 0.0334  acc: 0.6339  lr: 0.0000 
ep/it:506- 101 niter:193900  977m 9s (- 1918m 1s) completed: 33%) loss_emb: 0.0000  loss: 1.2669  loss_TTT: 0.0332  acc: 0.6254  lr: 0.0000 
ep/it:506- 151 niter:193950  977m 26s (- 1917m 50s) completed: 33%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0342  acc: 0.6277  lr: 0.0000 
ep/it:506- 201 niter:194000  977m 43s (- 1917m 38s) completed: 33%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0338  acc: 0.6293  lr: 0.0000 
ep/it:506- 251 niter:194050  977m 59s (- 1917m 26s) completed: 33%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0312  acc: 0.6239  lr: 0.0000 
ep/it:506- 301 niter:194100  978m 16s (- 1917m 14s) completed: 33%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0343  acc: 0.6243  lr: 0.0000 
ep/it:506- 351 niter:194150  978m 33s (- 1917m 3s) completed: 33%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0333  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.484, accuracy:0.584
ep/it:507-  18 niter:194200  978m 53s (- 1916m 58s) completed: 33%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0325  acc: 0.6206  lr: 0.0000 
ep/it:507-  68 niter:194250  979m 10s (- 1916m 45s) completed: 33%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0339  acc: 0.6244  lr: 0.0000 
ep/it:507- 118 niter:194300  979m 27s (- 1916m 33s) completed: 33%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0328  acc: 0.6270  lr: 0.0000 
ep/it:507- 168 niter:194350  979m 44s (- 1916m 22s) completed: 33%) loss_emb: 0.0000  loss: 1.2238  loss_TTT: 0.0346  acc: 0.6367  lr: 0.0000 
ep/it:507- 218 niter:194400  980m 1s (- 1916m 11s) completed: 33%) loss_emb: 0.0000  loss: 1.2562  loss_TTT: 0.0335  acc: 0.6284  lr: 0.0000 
ep/it:507- 268 niter:194450  980m 18s (- 1916m 0s) completed: 33%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0307  acc: 0.6282  lr: 0.0000 
ep/it:507- 318 niter:194500  980m 35s (- 1915m 48s) completed: 33%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0314  acc: 0.6273  lr: 0.0000 
ep/it:507- 368 niter:194550  980m 52s (- 1915m 36s) completed: 33%) loss_emb: 0.0000  loss: 1.2427  loss_TTT: 0.0327  acc: 0.6322  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.593
ep/it:508-  35 niter:194600  981m 12s (- 1915m 32s) completed: 33%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0314  acc: 0.6320  lr: 0.0000 
ep/it:508-  85 niter:194650  981m 30s (- 1915m 21s) completed: 33%) loss_emb: 0.0000  loss: 1.2619  loss_TTT: 0.0328  acc: 0.6264  lr: 0.0000 
ep/it:508- 135 niter:194700  981m 46s (- 1915m 9s) completed: 33%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0335  acc: 0.6223  lr: 0.0000 
ep/it:508- 185 niter:194750  982m 3s (- 1914m 56s) completed: 33%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0327  acc: 0.6269  lr: 0.0000 
ep/it:508- 235 niter:194800  982m 19s (- 1914m 44s) completed: 33%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0325  acc: 0.6301  lr: 0.0000 
ep/it:508- 285 niter:194850  982m 36s (- 1914m 31s) completed: 33%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0328  acc: 0.6283  lr: 0.0000 
ep/it:508- 335 niter:194900  982m 52s (- 1914m 19s) completed: 33%) loss_emb: 0.0000  loss: 1.2795  loss_TTT: 0.0334  acc: 0.6235  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.597
ep/it:509-   2 niter:194950  983m 13s (- 1914m 14s) completed: 33%) loss_emb: 0.0000  loss: 1.2317  loss_TTT: 0.0328  acc: 0.6343  lr: 0.0000 
ep/it:509-  52 niter:195000  983m 30s (- 1914m 2s) completed: 33%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0334  acc: 0.6228  lr: 0.0000 
ep/it:509- 102 niter:195050  983m 47s (- 1913m 52s) completed: 33%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0327  acc: 0.6313  lr: 0.0000 
ep/it:509- 152 niter:195100  984m 4s (- 1913m 40s) completed: 33%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0337  acc: 0.6321  lr: 0.0000 
ep/it:509- 202 niter:195150  984m 20s (- 1913m 27s) completed: 33%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0321  acc: 0.6246  lr: 0.0000 
ep/it:509- 252 niter:195200  984m 37s (- 1913m 15s) completed: 33%) loss_emb: 0.0000  loss: 1.2375  loss_TTT: 0.0333  acc: 0.6327  lr: 0.0000 
ep/it:509- 302 niter:195250  984m 54s (- 1913m 3s) completed: 33%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0326  acc: 0.6283  lr: 0.0000 
ep/it:509- 352 niter:195300  985m 10s (- 1912m 50s) completed: 33%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0305  acc: 0.6304  lr: 0.0000 
Validation time:
Validation loss:1.399, accuracy:0.607

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.82it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.73it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.11it/s]
100%|██████████| 47/47 [00:06<00:00,  7.13it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5449893521144986 avg: 2.5449893521144986
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.541299324017018 avg: 2.5431443380657583
--> 	 Eva. Repeat 22 :, FID. 0.1007, Diversity Real. 9.8070, Diversity. 9.8355, R_precision_real. [0.51464844 0.70800781 0.79394531], R_precision. [0.50390625 0.69238281 0.80175781], matching_score_real. 2.9023, matching_score_pred. 3.0090, skate_ratio. 0.0416, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4902 (traj_fail_50cm (Traj err)): 0.2822 (kps_fail_20cm): 0.3574 (kps_fail_50cm (Loc. err)): 0.1959 (kps_mean_err(m) (Avg. err)): 0.3462 
ep/it:510-  19 niter:195350  985m 39s (- 1913m 1s) completed: 34%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0336  acc: 0.6248  lr: 0.0000 
ep/it:510-  69 niter:195400  985m 55s (- 1912m 49s) completed: 34%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0338  acc: 0.6270  lr: 0.0000 
ep/it:510- 119 niter:195450  986m 12s (- 1912m 37s) completed: 34%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0315  acc: 0.6266  lr: 0.0000 
ep/it:510- 169 niter:195500  986m 30s (- 1912m 27s) completed: 34%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0325  acc: 0.6281  lr: 0.0000 
ep/it:510- 219 niter:195550  986m 47s (- 1912m 15s) completed: 34%) loss_emb: 0.0000  loss: 1.2698  loss_TTT: 0.0323  acc: 0.6241  lr: 0.0000 
ep/it:510- 269 niter:195600  987m 4s (- 1912m 4s) completed: 34%) loss_emb: 0.0000  loss: 1.2476  loss_TTT: 0.0343  acc: 0.6318  lr: 0.0000 
ep/it:510- 319 niter:195650  987m 21s (- 1911m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0328  acc: 0.6234  lr: 0.0000 
ep/it:510- 369 niter:195700  987m 37s (- 1911m 40s) completed: 34%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0315  acc: 0.6331  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.602
ep/it:511-  36 niter:195750  987m 58s (- 1911m 35s) completed: 34%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0330  acc: 0.6215  lr: 0.0000 
ep/it:511-  86 niter:195800  988m 15s (- 1911m 23s) completed: 34%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0343  acc: 0.6228  lr: 0.0000 
ep/it:511- 136 niter:195850  988m 31s (- 1911m 11s) completed: 34%) loss_emb: 0.0000  loss: 1.2350  loss_TTT: 0.0331  acc: 0.6341  lr: 0.0000 
ep/it:511- 186 niter:195900  988m 48s (- 1910m 59s) completed: 34%) loss_emb: 0.0000  loss: 1.2516  loss_TTT: 0.0328  acc: 0.6300  lr: 0.0000 
ep/it:511- 236 niter:195950  989m 4s (- 1910m 45s) completed: 34%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0330  acc: 0.6259  lr: 0.0000 
ep/it:511- 286 niter:196000  989m 21s (- 1910m 33s) completed: 34%) loss_emb: 0.0000  loss: 1.2621  loss_TTT: 0.0336  acc: 0.6262  lr: 0.0000 
ep/it:511- 336 niter:196050  989m 37s (- 1910m 21s) completed: 34%) loss_emb: 0.0000  loss: 1.2732  loss_TTT: 0.0341  acc: 0.6238  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.601
ep/it:512-   3 niter:196100  989m 57s (- 1910m 15s) completed: 34%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0322  acc: 0.6307  lr: 0.0000 
ep/it:512-  53 niter:196150  990m 14s (- 1910m 2s) completed: 34%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0331  acc: 0.6305  lr: 0.0000 
ep/it:512- 103 niter:196200  990m 30s (- 1909m 50s) completed: 34%) loss_emb: 0.0000  loss: 1.2359  loss_TTT: 0.0327  acc: 0.6327  lr: 0.0000 
ep/it:512- 153 niter:196250  990m 46s (- 1909m 37s) completed: 34%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0314  acc: 0.6266  lr: 0.0000 
ep/it:512- 203 niter:196300  991m 3s (- 1909m 24s) completed: 34%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0345  acc: 0.6292  lr: 0.0000 
ep/it:512- 253 niter:196350  991m 19s (- 1909m 12s) completed: 34%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0327  acc: 0.6260  lr: 0.0000 
ep/it:512- 303 niter:196400  991m 36s (- 1908m 59s) completed: 34%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0341  acc: 0.6280  lr: 0.0000 
ep/it:512- 353 niter:196450  991m 53s (- 1908m 47s) completed: 34%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0312  acc: 0.6331  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594
ep/it:513-  20 niter:196500  992m 14s (- 1908m 44s) completed: 34%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0323  acc: 0.6298  lr: 0.0000 
ep/it:513-  70 niter:196550  992m 30s (- 1908m 31s) completed: 34%) loss_emb: 0.0000  loss: 1.2390  loss_TTT: 0.0321  acc: 0.6320  lr: 0.0000 
ep/it:513- 120 niter:196600  992m 47s (- 1908m 19s) completed: 34%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0319  acc: 0.6301  lr: 0.0000 
ep/it:513- 170 niter:196650  993m 4s (- 1908m 7s) completed: 34%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0324  acc: 0.6263  lr: 0.0000 
ep/it:513- 220 niter:196700  993m 20s (- 1907m 54s) completed: 34%) loss_emb: 0.0000  loss: 1.2355  loss_TTT: 0.0324  acc: 0.6336  lr: 0.0000 
ep/it:513- 270 niter:196750  993m 37s (- 1907m 41s) completed: 34%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0339  acc: 0.6239  lr: 0.0000 
ep/it:513- 320 niter:196800  993m 54s (- 1907m 31s) completed: 34%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0325  acc: 0.6258  lr: 0.0000 
ep/it:513- 370 niter:196850  994m 10s (- 1907m 17s) completed: 34%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0332  acc: 0.6255  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.593
ep/it:514-  37 niter:196900  994m 31s (- 1907m 12s) completed: 34%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0318  acc: 0.6286  lr: 0.0000 
ep/it:514-  87 niter:196950  994m 47s (- 1907m 0s) completed: 34%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0325  acc: 0.6275  lr: 0.0000 
ep/it:514- 137 niter:197000  995m 3s (- 1906m 46s) completed: 34%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0328  acc: 0.6294  lr: 0.0000 
ep/it:514- 187 niter:197050  995m 20s (- 1906m 35s) completed: 34%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0319  acc: 0.6262  lr: 0.0000 
ep/it:514- 237 niter:197100  995m 37s (- 1906m 23s) completed: 34%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0327  acc: 0.6263  lr: 0.0000 
ep/it:514- 287 niter:197150  995m 54s (- 1906m 11s) completed: 34%) loss_emb: 0.0000  loss: 1.2950  loss_TTT: 0.0332  acc: 0.6160  lr: 0.0000 
ep/it:514- 337 niter:197200  996m 10s (- 1905m 58s) completed: 34%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0332  acc: 0.6275  lr: 0.0000 
Validation time:
Validation loss:1.486, accuracy:0.586
ep/it:515-   4 niter:197250  996m 30s (- 1905m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0337  acc: 0.6294  lr: 0.0000 
ep/it:515-  54 niter:197300  996m 47s (- 1905m 40s) completed: 34%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0316  acc: 0.6252  lr: 0.0000 
ep/it:515- 104 niter:197350  997m 3s (- 1905m 27s) completed: 34%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0308  acc: 0.6297  lr: 0.0000 
ep/it:515- 154 niter:197400  997m 20s (- 1905m 14s) completed: 34%) loss_emb: 0.0000  loss: 1.2733  loss_TTT: 0.0327  acc: 0.6226  lr: 0.0000 
ep/it:515- 204 niter:197450  997m 36s (- 1905m 2s) completed: 34%) loss_emb: 0.0000  loss: 1.2583  loss_TTT: 0.0340  acc: 0.6288  lr: 0.0000 
ep/it:515- 254 niter:197500  997m 53s (- 1904m 49s) completed: 34%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0336  acc: 0.6248  lr: 0.0000 
ep/it:515- 304 niter:197550  998m 10s (- 1904m 38s) completed: 34%) loss_emb: 0.0000  loss: 1.2814  loss_TTT: 0.0331  acc: 0.6223  lr: 0.0000 
ep/it:515- 354 niter:197600  998m 27s (- 1904m 27s) completed: 34%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0325  acc: 0.6310  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.602
ep/it:516-  21 niter:197650  998m 48s (- 1904m 22s) completed: 34%) loss_emb: 0.0000  loss: 1.2760  loss_TTT: 0.0329  acc: 0.6235  lr: 0.0000 
ep/it:516-  71 niter:197700  999m 5s (- 1904m 10s) completed: 34%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0338  acc: 0.6322  lr: 0.0000 
ep/it:516- 121 niter:197750  999m 21s (- 1903m 57s) completed: 34%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0325  acc: 0.6271  lr: 0.0000 
ep/it:516- 171 niter:197800  999m 37s (- 1903m 43s) completed: 34%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0329  acc: 0.6268  lr: 0.0000 
ep/it:516- 221 niter:197850  999m 54s (- 1903m 32s) completed: 34%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0328  acc: 0.6220  lr: 0.0000 
ep/it:516- 271 niter:197900  1000m 10s (- 1903m 19s) completed: 34%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0321  acc: 0.6289  lr: 0.0000 
ep/it:516- 321 niter:197950  1000m 27s (- 1903m 6s) completed: 34%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0319  acc: 0.6327  lr: 0.0000 
ep/it:516- 371 niter:198000  1000m 43s (- 1902m 53s) completed: 34%) loss_emb: 0.0000  loss: 1.2469  loss_TTT: 0.0328  acc: 0.6306  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.598
ep/it:517-  38 niter:198050  1001m 4s (- 1902m 50s) completed: 34%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0318  acc: 0.6277  lr: 0.0000 
ep/it:517-  88 niter:198100  1001m 21s (- 1902m 37s) completed: 34%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0337  acc: 0.6265  lr: 0.0000 
ep/it:517- 138 niter:198150  1001m 38s (- 1902m 25s) completed: 34%) loss_emb: 0.0000  loss: 1.3082  loss_TTT: 0.0344  acc: 0.6133  lr: 0.0000 
ep/it:517- 188 niter:198200  1001m 54s (- 1902m 13s) completed: 34%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0313  acc: 0.6270  lr: 0.0000 
ep/it:517- 238 niter:198250  1002m 11s (- 1902m 1s) completed: 34%) loss_emb: 0.0000  loss: 1.2181  loss_TTT: 0.0309  acc: 0.6393  lr: 0.0000 
ep/it:517- 288 niter:198300  1002m 28s (- 1901m 48s) completed: 34%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0320  acc: 0.6302  lr: 0.0000 
ep/it:517- 338 niter:198350  1002m 45s (- 1901m 37s) completed: 34%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0329  acc: 0.6182  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:518-   5 niter:198400  1003m 6s (- 1901m 33s) completed: 34%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0337  acc: 0.6293  lr: 0.0000 
ep/it:518-  55 niter:198450  1003m 22s (- 1901m 20s) completed: 34%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0324  acc: 0.6294  lr: 0.0000 
ep/it:518- 105 niter:198500  1003m 39s (- 1901m 8s) completed: 34%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0322  acc: 0.6303  lr: 0.0000 
ep/it:518- 155 niter:198550  1003m 57s (- 1900m 57s) completed: 34%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0339  acc: 0.6195  lr: 0.0000 
ep/it:518- 205 niter:198600  1004m 13s (- 1900m 44s) completed: 34%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0312  acc: 0.6301  lr: 0.0000 
ep/it:518- 255 niter:198650  1004m 29s (- 1900m 32s) completed: 34%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0326  acc: 0.6268  lr: 0.0000 
ep/it:518- 305 niter:198700  1004m 46s (- 1900m 19s) completed: 34%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0325  acc: 0.6299  lr: 0.0000 
ep/it:518- 355 niter:198750  1005m 3s (- 1900m 7s) completed: 34%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0318  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.599
ep/it:519-  22 niter:198800  1005m 24s (- 1900m 3s) completed: 34%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0326  acc: 0.6262  lr: 0.0000 
ep/it:519-  72 niter:198850  1005m 41s (- 1899m 51s) completed: 34%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0327  acc: 0.6261  lr: 0.0000 
ep/it:519- 122 niter:198900  1005m 57s (- 1899m 38s) completed: 34%) loss_emb: 0.0000  loss: 1.2370  loss_TTT: 0.0343  acc: 0.6324  lr: 0.0000 
ep/it:519- 172 niter:198950  1006m 14s (- 1899m 26s) completed: 34%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0315  acc: 0.6257  lr: 0.0000 
ep/it:519- 222 niter:199000  1006m 30s (- 1899m 13s) completed: 34%) loss_emb: 0.0000  loss: 1.2361  loss_TTT: 0.0304  acc: 0.6330  lr: 0.0000 
ep/it:519- 272 niter:199050  1006m 48s (- 1899m 2s) completed: 34%) loss_emb: 0.0000  loss: 1.2319  loss_TTT: 0.0341  acc: 0.6364  lr: 0.0000 
ep/it:519- 322 niter:199100  1007m 4s (- 1898m 50s) completed: 34%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0344  acc: 0.6210  lr: 0.0000 
ep/it:519- 372 niter:199150  1007m 21s (- 1898m 37s) completed: 34%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0325  acc: 0.6279  lr: 0.0000 
Validation time:
Validation loss:1.500, accuracy:0.579

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.49it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.87it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.07it/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:  2.5308384620584548 avg: 2.5308384620584548
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.546281802933663 avg: 2.538560132496059
--> 	 Eva. Repeat 22 :, FID. 0.1496, Diversity Real. 9.6209, Diversity. 9.6982, R_precision_real. [0.50390625 0.68945312 0.78222656], R_precision. [0.48535156 0.66796875 0.79101562], matching_score_real. 2.9361, matching_score_pred. 3.0221, skate_ratio. 0.0487, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4707 (traj_fail_50cm (Traj err)): 0.2588 (kps_fail_20cm): 0.3318 (kps_fail_50cm (Loc. err)): 0.1754 (kps_mean_err(m) (Avg. err)): 0.3363 
ep/it:520-  39 niter:199200  1007m 50s (- 1898m 47s) completed: 34%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0340  acc: 0.6289  lr: 0.0000 
ep/it:520-  89 niter:199250  1008m 6s (- 1898m 34s) completed: 34%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0341  acc: 0.6220  lr: 0.0000 
ep/it:520- 139 niter:199300  1008m 22s (- 1898m 22s) completed: 34%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0334  acc: 0.6301  lr: 0.0000 
ep/it:520- 189 niter:199350  1008m 39s (- 1898m 9s) completed: 34%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0333  acc: 0.6250  lr: 0.0000 
ep/it:520- 239 niter:199400  1008m 56s (- 1897m 56s) completed: 34%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0333  acc: 0.6236  lr: 0.0000 
ep/it:520- 289 niter:199450  1009m 12s (- 1897m 44s) completed: 34%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0323  acc: 0.6288  lr: 0.0000 
ep/it:520- 339 niter:199500  1009m 29s (- 1897m 32s) completed: 34%) loss_emb: 0.0000  loss: 1.2569  loss_TTT: 0.0318  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.447, accuracy:0.592
ep/it:521-   6 niter:199550  1009m 50s (- 1897m 27s) completed: 34%) loss_emb: 0.0000  loss: 1.2377  loss_TTT: 0.0317  acc: 0.6340  lr: 0.0000 
ep/it:521-  56 niter:199600  1010m 7s (- 1897m 15s) completed: 34%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0327  acc: 0.6248  lr: 0.0000 
ep/it:521- 106 niter:199650  1010m 24s (- 1897m 4s) completed: 34%) loss_emb: 0.0000  loss: 1.2193  loss_TTT: 0.0321  acc: 0.6364  lr: 0.0000 
ep/it:521- 156 niter:199700  1010m 41s (- 1896m 52s) completed: 34%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0309  acc: 0.6285  lr: 0.0000 
ep/it:521- 206 niter:199750  1010m 58s (- 1896m 40s) completed: 34%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0336  acc: 0.6289  lr: 0.0000 
ep/it:521- 256 niter:199800  1011m 15s (- 1896m 29s) completed: 34%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0326  acc: 0.6227  lr: 0.0000 
ep/it:521- 306 niter:199850  1011m 31s (- 1896m 16s) completed: 34%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0328  acc: 0.6249  lr: 0.0000 
ep/it:521- 356 niter:199900  1011m 48s (- 1896m 3s) completed: 34%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0329  acc: 0.6254  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.596
ep/it:522-  23 niter:199950  1012m 9s (- 1895m 58s) completed: 34%) loss_emb: 0.0000  loss: 1.2436  loss_TTT: 0.0350  acc: 0.6317  lr: 0.0000 
ep/it:522-  73 niter:200000  1012m 25s (- 1895m 45s) completed: 34%) loss_emb: 0.0000  loss: 1.2344  loss_TTT: 0.0326  acc: 0.6344  lr: 0.0000 
ep/it:522- 123 niter:200050  1012m 42s (- 1895m 34s) completed: 34%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0318  acc: 0.6296  lr: 0.0000 
ep/it:522- 173 niter:200100  1012m 59s (- 1895m 22s) completed: 34%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0331  acc: 0.6330  lr: 0.0000 
ep/it:522- 223 niter:200150  1013m 16s (- 1895m 10s) completed: 34%) loss_emb: 0.0000  loss: 1.2796  loss_TTT: 0.0314  acc: 0.6208  lr: 0.0000 
ep/it:522- 273 niter:200200  1013m 33s (- 1894m 58s) completed: 34%) loss_emb: 0.0000  loss: 1.2504  loss_TTT: 0.0334  acc: 0.6294  lr: 0.0000 
ep/it:522- 323 niter:200250  1013m 50s (- 1894m 46s) completed: 34%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0335  acc: 0.6211  lr: 0.0000 
ep/it:522- 373 niter:200300  1014m 7s (- 1894m 34s) completed: 34%) loss_emb: 0.0000  loss: 1.2250  loss_TTT: 0.0329  acc: 0.6367  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.598
ep/it:523-  40 niter:200350  1014m 27s (- 1894m 28s) completed: 34%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0343  acc: 0.6261  lr: 0.0000 
ep/it:523-  90 niter:200400  1014m 43s (- 1894m 16s) completed: 34%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0327  acc: 0.6320  lr: 0.0000 
ep/it:523- 140 niter:200450  1015m 0s (- 1894m 3s) completed: 34%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0343  acc: 0.6296  lr: 0.0000 
ep/it:523- 190 niter:200500  1015m 17s (- 1893m 51s) completed: 34%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0341  acc: 0.6261  lr: 0.0000 
ep/it:523- 240 niter:200550  1015m 34s (- 1893m 39s) completed: 34%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0321  acc: 0.6231  lr: 0.0000 
ep/it:523- 290 niter:200600  1015m 51s (- 1893m 28s) completed: 34%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0331  acc: 0.6248  lr: 0.0000 
ep/it:523- 340 niter:200650  1016m 7s (- 1893m 15s) completed: 34%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0320  acc: 0.6309  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.601
ep/it:524-   7 niter:200700  1016m 28s (- 1893m 10s) completed: 34%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0322  acc: 0.6190  lr: 0.0000 
ep/it:524-  57 niter:200750  1016m 45s (- 1892m 58s) completed: 34%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0335  acc: 0.6246  lr: 0.0000 
ep/it:524- 107 niter:200800  1017m 1s (- 1892m 45s) completed: 34%) loss_emb: 0.0000  loss: 1.2759  loss_TTT: 0.0313  acc: 0.6224  lr: 0.0000 
ep/it:524- 157 niter:200850  1017m 18s (- 1892m 32s) completed: 34%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0334  acc: 0.6244  lr: 0.0000 
ep/it:524- 207 niter:200900  1017m 35s (- 1892m 20s) completed: 34%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0325  acc: 0.6289  lr: 0.0000 
ep/it:524- 257 niter:200950  1017m 51s (- 1892m 7s) completed: 34%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0317  acc: 0.6291  lr: 0.0000 
ep/it:524- 307 niter:201000  1018m 8s (- 1891m 54s) completed: 34%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0316  acc: 0.6268  lr: 0.0000 
ep/it:524- 357 niter:201050  1018m 25s (- 1891m 42s) completed: 34%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0329  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.596
ep/it:525-  24 niter:201100  1018m 46s (- 1891m 38s) completed: 35%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0323  acc: 0.6323  lr: 0.0000 
ep/it:525-  74 niter:201150  1019m 2s (- 1891m 25s) completed: 35%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0325  acc: 0.6280  lr: 0.0000 
ep/it:525- 124 niter:201200  1019m 19s (- 1891m 14s) completed: 35%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0312  acc: 0.6255  lr: 0.0000 
ep/it:525- 174 niter:201250  1019m 36s (- 1891m 2s) completed: 35%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0324  acc: 0.6247  lr: 0.0000 
ep/it:525- 224 niter:201300  1019m 53s (- 1890m 49s) completed: 35%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0336  acc: 0.6298  lr: 0.0000 
ep/it:525- 274 niter:201350  1020m 10s (- 1890m 37s) completed: 35%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0333  acc: 0.6272  lr: 0.0000 
ep/it:525- 324 niter:201400  1020m 27s (- 1890m 25s) completed: 35%) loss_emb: 0.0000  loss: 1.2384  loss_TTT: 0.0336  acc: 0.6336  lr: 0.0000 
ep/it:525- 374 niter:201450  1020m 43s (- 1890m 12s) completed: 35%) loss_emb: 0.0000  loss: 1.2571  loss_TTT: 0.0333  acc: 0.6283  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.607
ep/it:526-  41 niter:201500  1021m 4s (- 1890m 7s) completed: 35%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0328  acc: 0.6301  lr: 0.0000 
ep/it:526-  91 niter:201550  1021m 21s (- 1889m 55s) completed: 35%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0328  acc: 0.6198  lr: 0.0000 
ep/it:526- 141 niter:201600  1021m 38s (- 1889m 44s) completed: 35%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0318  acc: 0.6251  lr: 0.0000 
ep/it:526- 191 niter:201650  1021m 55s (- 1889m 32s) completed: 35%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0324  acc: 0.6304  lr: 0.0000 
ep/it:526- 241 niter:201700  1022m 12s (- 1889m 19s) completed: 35%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0336  acc: 0.6255  lr: 0.0000 
ep/it:526- 291 niter:201750  1022m 28s (- 1889m 6s) completed: 35%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0321  acc: 0.6258  lr: 0.0000 
ep/it:526- 341 niter:201800  1022m 44s (- 1888m 53s) completed: 35%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0337  acc: 0.6257  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.601
ep/it:527-   8 niter:201850  1023m 5s (- 1888m 48s) completed: 35%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0338  acc: 0.6328  lr: 0.0000 
ep/it:527-  58 niter:201900  1023m 21s (- 1888m 34s) completed: 35%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0327  acc: 0.6256  lr: 0.0000 
ep/it:527- 108 niter:201950  1023m 38s (- 1888m 22s) completed: 35%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0320  acc: 0.6249  lr: 0.0000 
ep/it:527- 158 niter:202000  1023m 55s (- 1888m 10s) completed: 35%) loss_emb: 0.0000  loss: 1.2418  loss_TTT: 0.0334  acc: 0.6316  lr: 0.0000 
ep/it:527- 208 niter:202050  1024m 12s (- 1887m 58s) completed: 35%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0318  acc: 0.6279  lr: 0.0000 
ep/it:527- 258 niter:202100  1024m 28s (- 1887m 45s) completed: 35%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0332  acc: 0.6256  lr: 0.0000 
ep/it:527- 308 niter:202150  1024m 45s (- 1887m 33s) completed: 35%) loss_emb: 0.0000  loss: 1.2259  loss_TTT: 0.0337  acc: 0.6364  lr: 0.0000 
ep/it:527- 358 niter:202200  1025m 2s (- 1887m 20s) completed: 35%) loss_emb: 0.0000  loss: 1.2596  loss_TTT: 0.0332  acc: 0.6272  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.594
ep/it:528-  25 niter:202250  1025m 22s (- 1887m 15s) completed: 35%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0332  acc: 0.6211  lr: 0.0000 
ep/it:528-  75 niter:202300  1025m 39s (- 1887m 2s) completed: 35%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0324  acc: 0.6237  lr: 0.0000 
ep/it:528- 125 niter:202350  1025m 55s (- 1886m 48s) completed: 35%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0324  acc: 0.6282  lr: 0.0000 
ep/it:528- 175 niter:202400  1026m 11s (- 1886m 35s) completed: 35%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0324  acc: 0.6290  lr: 0.0000 
ep/it:528- 225 niter:202450  1026m 28s (- 1886m 22s) completed: 35%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0324  acc: 0.6309  lr: 0.0000 
ep/it:528- 275 niter:202500  1026m 44s (- 1886m 9s) completed: 35%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0323  acc: 0.6229  lr: 0.0000 
ep/it:528- 325 niter:202550  1027m 1s (- 1885m 57s) completed: 35%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0338  acc: 0.6224  lr: 0.0000 
ep/it:528- 375 niter:202600  1027m 18s (- 1885m 45s) completed: 35%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0328  acc: 0.6299  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.601
ep/it:529-  42 niter:202650  1027m 38s (- 1885m 40s) completed: 35%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0317  acc: 0.6254  lr: 0.0000 
ep/it:529-  92 niter:202700  1027m 55s (- 1885m 27s) completed: 35%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0325  acc: 0.6287  lr: 0.0000 
ep/it:529- 142 niter:202750  1028m 11s (- 1885m 14s) completed: 35%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0315  acc: 0.6324  lr: 0.0000 
ep/it:529- 192 niter:202800  1028m 28s (- 1885m 2s) completed: 35%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0323  acc: 0.6284  lr: 0.0000 
ep/it:529- 242 niter:202850  1028m 45s (- 1884m 49s) completed: 35%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0331  acc: 0.6279  lr: 0.0000 
ep/it:529- 292 niter:202900  1029m 2s (- 1884m 37s) completed: 35%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0336  acc: 0.6228  lr: 0.0000 
ep/it:529- 342 niter:202950  1029m 19s (- 1884m 25s) completed: 35%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0336  acc: 0.6205  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.600

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.48it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.73it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.02it/s]
100%|██████████| 47/47 [00:06<00:00,  7.03it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.562937805429101 avg: 2.562937805429101
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5340023110620677 avg: 2.5484700582455844
--> 	 Eva. Repeat 22 :, FID. 0.1350, Diversity Real. 9.4236, Diversity. 9.7969, R_precision_real. [0.50585938 0.69042969 0.77734375], R_precision. [0.51171875 0.69042969 0.78808594], matching_score_real. 2.9674, matching_score_pred. 3.0366, skate_ratio. 0.0455, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4912 (traj_fail_50cm (Traj err)): 0.2803 (kps_fail_20cm): 0.3568 (kps_fail_50cm (Loc. err)): 0.1920 (kps_mean_err(m) (Avg. err)): 0.3608 
ep/it:530-   9 niter:203000  1029m 47s (- 1884m 34s) completed: 35%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0332  acc: 0.6316  lr: 0.0000 
ep/it:530-  59 niter:203050  1030m 5s (- 1884m 23s) completed: 35%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0325  acc: 0.6248  lr: 0.0000 
ep/it:530- 109 niter:203100  1030m 22s (- 1884m 11s) completed: 35%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0325  acc: 0.6274  lr: 0.0000 
ep/it:530- 159 niter:203150  1030m 38s (- 1883m 57s) completed: 35%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0324  acc: 0.6324  lr: 0.0000 
ep/it:530- 209 niter:203200  1030m 55s (- 1883m 45s) completed: 35%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0330  acc: 0.6280  lr: 0.0000 
ep/it:530- 259 niter:203250  1031m 12s (- 1883m 33s) completed: 35%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0312  acc: 0.6225  lr: 0.0000 
ep/it:530- 309 niter:203300  1031m 28s (- 1883m 21s) completed: 35%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0323  acc: 0.6294  lr: 0.0000 
ep/it:530- 359 niter:203350  1031m 45s (- 1883m 8s) completed: 35%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0325  acc: 0.6309  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.598
ep/it:531-  26 niter:203400  1032m 6s (- 1883m 3s) completed: 35%) loss_emb: 0.0000  loss: 1.2452  loss_TTT: 0.0324  acc: 0.6311  lr: 0.0000 
ep/it:531-  76 niter:203450  1032m 22s (- 1882m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0339  acc: 0.6332  lr: 0.0000 
ep/it:531- 126 niter:203500  1032m 39s (- 1882m 38s) completed: 35%) loss_emb: 0.0000  loss: 1.2462  loss_TTT: 0.0320  acc: 0.6303  lr: 0.0000 
ep/it:531- 176 niter:203550  1032m 56s (- 1882m 26s) completed: 35%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0328  acc: 0.6272  lr: 0.0000 
ep/it:531- 226 niter:203600  1033m 13s (- 1882m 13s) completed: 35%) loss_emb: 0.0000  loss: 1.2406  loss_TTT: 0.0323  acc: 0.6313  lr: 0.0000 
ep/it:531- 276 niter:203650  1033m 29s (- 1882m 0s) completed: 35%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0330  acc: 0.6285  lr: 0.0000 
ep/it:531- 326 niter:203700  1033m 46s (- 1881m 48s) completed: 35%) loss_emb: 0.0000  loss: 1.2345  loss_TTT: 0.0336  acc: 0.6338  lr: 0.0000 
ep/it:531- 376 niter:203750  1034m 3s (- 1881m 35s) completed: 35%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0326  acc: 0.6224  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.590
ep/it:532-  43 niter:203800  1034m 23s (- 1881m 30s) completed: 35%) loss_emb: 0.0000  loss: 1.2410  loss_TTT: 0.0335  acc: 0.6319  lr: 0.0000 
ep/it:532-  93 niter:203850  1034m 40s (- 1881m 17s) completed: 35%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0308  acc: 0.6289  lr: 0.0000 
ep/it:532- 143 niter:203900  1034m 56s (- 1881m 4s) completed: 35%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0333  acc: 0.6237  lr: 0.0000 
ep/it:532- 193 niter:203950  1035m 13s (- 1880m 52s) completed: 35%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0333  acc: 0.6233  lr: 0.0000 
ep/it:532- 243 niter:204000  1035m 30s (- 1880m 39s) completed: 35%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0321  acc: 0.6227  lr: 0.0000 
ep/it:532- 293 niter:204050  1035m 47s (- 1880m 27s) completed: 35%) loss_emb: 0.0000  loss: 1.2698  loss_TTT: 0.0323  acc: 0.6247  lr: 0.0000 
ep/it:532- 343 niter:204100  1036m 3s (- 1880m 14s) completed: 35%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0329  acc: 0.6337  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.599
ep/it:533-  10 niter:204150  1036m 24s (- 1880m 9s) completed: 35%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0334  acc: 0.6295  lr: 0.0000 
ep/it:533-  60 niter:204200  1036m 41s (- 1879m 57s) completed: 35%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0320  acc: 0.6334  lr: 0.0000 
ep/it:533- 110 niter:204250  1036m 58s (- 1879m 44s) completed: 35%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0325  acc: 0.6286  lr: 0.0000 
ep/it:533- 160 niter:204300  1037m 14s (- 1879m 31s) completed: 35%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0343  acc: 0.6291  lr: 0.0000 
ep/it:533- 210 niter:204350  1037m 31s (- 1879m 19s) completed: 35%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0333  acc: 0.6258  lr: 0.0000 
ep/it:533- 260 niter:204400  1037m 48s (- 1879m 7s) completed: 35%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0325  acc: 0.6224  lr: 0.0000 
ep/it:533- 310 niter:204450  1038m 5s (- 1878m 55s) completed: 35%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0314  acc: 0.6345  lr: 0.0000 
ep/it:533- 360 niter:204500  1038m 22s (- 1878m 42s) completed: 35%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0322  acc: 0.6248  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.603
ep/it:534-  27 niter:204550  1038m 43s (- 1878m 37s) completed: 35%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0313  acc: 0.6218  lr: 0.0000 
ep/it:534-  77 niter:204600  1038m 59s (- 1878m 24s) completed: 35%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0324  acc: 0.6246  lr: 0.0000 
ep/it:534- 127 niter:204650  1039m 16s (- 1878m 12s) completed: 35%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0334  acc: 0.6248  lr: 0.0000 
ep/it:534- 177 niter:204700  1039m 32s (- 1877m 58s) completed: 35%) loss_emb: 0.0000  loss: 1.2414  loss_TTT: 0.0312  acc: 0.6307  lr: 0.0000 
ep/it:534- 227 niter:204750  1039m 49s (- 1877m 46s) completed: 35%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0324  acc: 0.6279  lr: 0.0000 
ep/it:534- 277 niter:204800  1040m 6s (- 1877m 33s) completed: 35%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0327  acc: 0.6263  lr: 0.0000 
ep/it:534- 327 niter:204850  1040m 22s (- 1877m 20s) completed: 35%) loss_emb: 0.0000  loss: 1.2282  loss_TTT: 0.0325  acc: 0.6357  lr: 0.0000 
ep/it:534- 377 niter:204900  1040m 38s (- 1877m 7s) completed: 35%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0325  acc: 0.6230  lr: 0.0000 
Validation time:
Validation loss:1.479, accuracy:0.585
ep/it:535-  44 niter:204950  1041m 0s (- 1877m 3s) completed: 35%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0334  acc: 0.6285  lr: 0.0000 
ep/it:535-  94 niter:205000  1041m 16s (- 1876m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.2596  loss_TTT: 0.0332  acc: 0.6268  lr: 0.0000 
ep/it:535- 144 niter:205050  1041m 33s (- 1876m 37s) completed: 35%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0325  acc: 0.6214  lr: 0.0000 
ep/it:535- 194 niter:205100  1041m 50s (- 1876m 25s) completed: 35%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0321  acc: 0.6311  lr: 0.0000 
ep/it:535- 244 niter:205150  1042m 6s (- 1876m 12s) completed: 35%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0318  acc: 0.6276  lr: 0.0000 
ep/it:535- 294 niter:205200  1042m 23s (- 1876m 0s) completed: 35%) loss_emb: 0.0000  loss: 1.2427  loss_TTT: 0.0319  acc: 0.6301  lr: 0.0000 
ep/it:535- 344 niter:205250  1042m 40s (- 1875m 47s) completed: 35%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0324  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.596
ep/it:536-  11 niter:205300  1043m 0s (- 1875m 41s) completed: 35%) loss_emb: 0.0000  loss: 1.2400  loss_TTT: 0.0328  acc: 0.6332  lr: 0.0000 
ep/it:536-  61 niter:205350  1043m 17s (- 1875m 28s) completed: 35%) loss_emb: 0.0000  loss: 1.2911  loss_TTT: 0.0329  acc: 0.6194  lr: 0.0000 
ep/it:536- 111 niter:205400  1043m 33s (- 1875m 15s) completed: 35%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0329  acc: 0.6250  lr: 0.0000 
ep/it:536- 161 niter:205450  1043m 50s (- 1875m 2s) completed: 35%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0317  acc: 0.6320  lr: 0.0000 
ep/it:536- 211 niter:205500  1044m 7s (- 1874m 50s) completed: 35%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0332  acc: 0.6264  lr: 0.0000 
ep/it:536- 261 niter:205550  1044m 24s (- 1874m 39s) completed: 35%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0328  acc: 0.6321  lr: 0.0000 
ep/it:536- 311 niter:205600  1044m 40s (- 1874m 25s) completed: 35%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0331  acc: 0.6253  lr: 0.0000 
ep/it:536- 361 niter:205650  1044m 57s (- 1874m 12s) completed: 35%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0332  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.595
ep/it:537-  28 niter:205700  1045m 17s (- 1874m 7s) completed: 35%) loss_emb: 0.0000  loss: 1.2969  loss_TTT: 0.0328  acc: 0.6168  lr: 0.0000 
ep/it:537-  78 niter:205750  1045m 34s (- 1873m 54s) completed: 35%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0313  acc: 0.6319  lr: 0.0000 
ep/it:537- 128 niter:205800  1045m 51s (- 1873m 41s) completed: 35%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0317  acc: 0.6287  lr: 0.0000 
ep/it:537- 178 niter:205850  1046m 7s (- 1873m 29s) completed: 35%) loss_emb: 0.0000  loss: 1.2800  loss_TTT: 0.0313  acc: 0.6210  lr: 0.0000 
ep/it:537- 228 niter:205900  1046m 25s (- 1873m 17s) completed: 35%) loss_emb: 0.0000  loss: 1.2476  loss_TTT: 0.0325  acc: 0.6312  lr: 0.0000 
ep/it:537- 278 niter:205950  1046m 42s (- 1873m 5s) completed: 35%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0343  acc: 0.6270  lr: 0.0000 
ep/it:537- 328 niter:206000  1046m 59s (- 1872m 53s) completed: 35%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0315  acc: 0.6302  lr: 0.0000 
ep/it:537- 378 niter:206050  1047m 16s (- 1872m 41s) completed: 35%) loss_emb: 0.0000  loss: 1.2777  loss_TTT: 0.0342  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.602
ep/it:538-  45 niter:206100  1047m 36s (- 1872m 34s) completed: 35%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0329  acc: 0.6263  lr: 0.0000 
ep/it:538-  95 niter:206150  1047m 53s (- 1872m 22s) completed: 35%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0328  acc: 0.6298  lr: 0.0000 
ep/it:538- 145 niter:206200  1048m 9s (- 1872m 9s) completed: 35%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0338  acc: 0.6286  lr: 0.0000 
ep/it:538- 195 niter:206250  1048m 26s (- 1871m 56s) completed: 35%) loss_emb: 0.0000  loss: 1.2428  loss_TTT: 0.0351  acc: 0.6321  lr: 0.0000 
ep/it:538- 245 niter:206300  1048m 42s (- 1871m 43s) completed: 35%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0324  acc: 0.6287  lr: 0.0000 
ep/it:538- 295 niter:206350  1048m 59s (- 1871m 30s) completed: 35%) loss_emb: 0.0000  loss: 1.2669  loss_TTT: 0.0312  acc: 0.6242  lr: 0.0000 
ep/it:538- 345 niter:206400  1049m 16s (- 1871m 17s) completed: 35%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0322  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.599
ep/it:539-  12 niter:206450  1049m 36s (- 1871m 12s) completed: 35%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0331  acc: 0.6243  lr: 0.0000 
ep/it:539-  62 niter:206500  1049m 53s (- 1870m 59s) completed: 35%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0322  acc: 0.6237  lr: 0.0000 
ep/it:539- 112 niter:206550  1050m 9s (- 1870m 45s) completed: 35%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0326  acc: 0.6230  lr: 0.0000 
ep/it:539- 162 niter:206600  1050m 25s (- 1870m 32s) completed: 35%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0333  acc: 0.6204  lr: 0.0000 
ep/it:539- 212 niter:206650  1050m 42s (- 1870m 19s) completed: 35%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0311  acc: 0.6307  lr: 0.0000 
ep/it:539- 262 niter:206700  1050m 59s (- 1870m 7s) completed: 35%) loss_emb: 0.0000  loss: 1.2622  loss_TTT: 0.0330  acc: 0.6270  lr: 0.0000 
ep/it:539- 312 niter:206750  1051m 16s (- 1869m 55s) completed: 35%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0350  acc: 0.6205  lr: 0.0000 
ep/it:539- 362 niter:206800  1051m 33s (- 1869m 42s) completed: 35%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0314  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.472, accuracy:0.587

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.43it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.11it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.16it/s]
100%|██████████| 47/47 [00:06<00:00,  7.23it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.55118197388947 avg: 2.55118197388947
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.553714418783784 avg: 2.552448196336627
--> 	 Eva. Repeat 22 :, FID. 0.1188, Diversity Real. 9.3522, Diversity. 9.9503, R_precision_real. [0.48535156 0.68261719 0.77539062], R_precision. [0.48632812 0.66894531 0.77832031], matching_score_real. 2.9646, matching_score_pred. 3.0264, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5020 (traj_fail_50cm (Traj err)): 0.2686 (kps_fail_20cm): 0.3590 (kps_fail_50cm (Loc. err)): 0.1812 (kps_mean_err(m) (Avg. err)): 0.3671 
ep/it:540-  29 niter:206850  1052m 2s (- 1869m 52s) completed: 36%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0328  acc: 0.6256  lr: 0.0000 
ep/it:540-  79 niter:206900  1052m 18s (- 1869m 39s) completed: 36%) loss_emb: 0.0000  loss: 1.2390  loss_TTT: 0.0311  acc: 0.6324  lr: 0.0000 
ep/it:540- 129 niter:206950  1052m 35s (- 1869m 25s) completed: 36%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0324  acc: 0.6252  lr: 0.0000 
ep/it:540- 179 niter:207000  1052m 51s (- 1869m 12s) completed: 36%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0337  acc: 0.6224  lr: 0.0000 
ep/it:540- 229 niter:207050  1053m 9s (- 1869m 1s) completed: 36%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0312  acc: 0.6269  lr: 0.0000 
ep/it:540- 279 niter:207100  1053m 25s (- 1868m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0327  acc: 0.6253  lr: 0.0000 
ep/it:540- 329 niter:207150  1053m 42s (- 1868m 35s) completed: 36%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0338  acc: 0.6270  lr: 0.0000 
ep/it:540- 379 niter:207200  1053m 58s (- 1868m 21s) completed: 36%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0314  acc: 0.6340  lr: 0.0000 
Validation time:
Validation loss:1.406, accuracy:0.604
ep/it:541-  46 niter:207250  1054m 19s (- 1868m 16s) completed: 36%) loss_emb: 0.0000  loss: 1.2428  loss_TTT: 0.0334  acc: 0.6318  lr: 0.0000 
ep/it:541-  96 niter:207300  1054m 36s (- 1868m 3s) completed: 36%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0325  acc: 0.6251  lr: 0.0000 
ep/it:541- 146 niter:207350  1054m 52s (- 1867m 49s) completed: 36%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0332  acc: 0.6227  lr: 0.0000 
ep/it:541- 196 niter:207400  1055m 8s (- 1867m 37s) completed: 36%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0311  acc: 0.6277  lr: 0.0000 
ep/it:541- 246 niter:207450  1055m 26s (- 1867m 25s) completed: 36%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0323  acc: 0.6289  lr: 0.0000 
ep/it:541- 296 niter:207500  1055m 42s (- 1867m 11s) completed: 36%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0318  acc: 0.6287  lr: 0.0000 
ep/it:541- 346 niter:207550  1055m 59s (- 1866m 59s) completed: 36%) loss_emb: 0.0000  loss: 1.2210  loss_TTT: 0.0307  acc: 0.6381  lr: 0.0000 
Validation time:
Validation loss:1.406, accuracy:0.604
ep/it:542-  13 niter:207600  1056m 20s (- 1866m 54s) completed: 36%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0334  acc: 0.6254  lr: 0.0000 
ep/it:542-  63 niter:207650  1056m 36s (- 1866m 41s) completed: 36%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0309  acc: 0.6286  lr: 0.0000 
ep/it:542- 113 niter:207700  1056m 53s (- 1866m 28s) completed: 36%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0304  acc: 0.6307  lr: 0.0000 
ep/it:542- 163 niter:207750  1057m 9s (- 1866m 15s) completed: 36%) loss_emb: 0.0000  loss: 1.2372  loss_TTT: 0.0319  acc: 0.6330  lr: 0.0000 
ep/it:542- 213 niter:207800  1057m 26s (- 1866m 2s) completed: 36%) loss_emb: 0.0000  loss: 1.2330  loss_TTT: 0.0336  acc: 0.6351  lr: 0.0000 
ep/it:542- 263 niter:207850  1057m 43s (- 1865m 49s) completed: 36%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0328  acc: 0.6271  lr: 0.0000 
ep/it:542- 313 niter:207900  1057m 59s (- 1865m 36s) completed: 36%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0328  acc: 0.6278  lr: 0.0000 
ep/it:542- 363 niter:207950  1058m 16s (- 1865m 24s) completed: 36%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0341  acc: 0.6314  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.593
ep/it:543-  30 niter:208000  1058m 37s (- 1865m 19s) completed: 36%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0318  acc: 0.6300  lr: 0.0000 
ep/it:543-  80 niter:208050  1058m 54s (- 1865m 6s) completed: 36%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0318  acc: 0.6288  lr: 0.0000 
ep/it:543- 130 niter:208100  1059m 11s (- 1864m 53s) completed: 36%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0336  acc: 0.6237  lr: 0.0000 
ep/it:543- 180 niter:208150  1059m 27s (- 1864m 40s) completed: 36%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0328  acc: 0.6330  lr: 0.0000 
ep/it:543- 230 niter:208200  1059m 44s (- 1864m 29s) completed: 36%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0325  acc: 0.6228  lr: 0.0000 
ep/it:543- 280 niter:208250  1060m 1s (- 1864m 16s) completed: 36%) loss_emb: 0.0000  loss: 1.2419  loss_TTT: 0.0313  acc: 0.6311  lr: 0.0000 
ep/it:543- 330 niter:208300  1060m 17s (- 1864m 2s) completed: 36%) loss_emb: 0.0000  loss: 1.2502  loss_TTT: 0.0334  acc: 0.6296  lr: 0.0000 
ep/it:543- 380 niter:208350  1060m 34s (- 1863m 49s) completed: 36%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0327  acc: 0.6234  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.600
ep/it:544-  47 niter:208400  1060m 55s (- 1863m 44s) completed: 36%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0307  acc: 0.6271  lr: 0.0000 
ep/it:544-  97 niter:208450  1061m 11s (- 1863m 30s) completed: 36%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0320  acc: 0.6322  lr: 0.0000 
ep/it:544- 147 niter:208500  1061m 28s (- 1863m 18s) completed: 36%) loss_emb: 0.0000  loss: 1.2444  loss_TTT: 0.0317  acc: 0.6317  lr: 0.0000 
ep/it:544- 197 niter:208550  1061m 45s (- 1863m 6s) completed: 36%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0335  acc: 0.6329  lr: 0.0000 
ep/it:544- 247 niter:208600  1062m 1s (- 1862m 52s) completed: 36%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0330  acc: 0.6256  lr: 0.0000 
ep/it:544- 297 niter:208650  1062m 18s (- 1862m 40s) completed: 36%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0333  acc: 0.6305  lr: 0.0000 
ep/it:544- 347 niter:208700  1062m 35s (- 1862m 27s) completed: 36%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0321  acc: 0.6257  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.604
ep/it:545-  14 niter:208750  1062m 55s (- 1862m 20s) completed: 36%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0321  acc: 0.6221  lr: 0.0000 
ep/it:545-  64 niter:208800  1063m 12s (- 1862m 7s) completed: 36%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0330  acc: 0.6254  lr: 0.0000 
ep/it:545- 114 niter:208850  1063m 28s (- 1861m 55s) completed: 36%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0336  acc: 0.6215  lr: 0.0000 
ep/it:545- 164 niter:208900  1063m 45s (- 1861m 42s) completed: 36%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0333  acc: 0.6305  lr: 0.0000 
ep/it:545- 214 niter:208950  1064m 2s (- 1861m 29s) completed: 36%) loss_emb: 0.0000  loss: 1.2875  loss_TTT: 0.0326  acc: 0.6194  lr: 0.0000 
ep/it:545- 264 niter:209000  1064m 18s (- 1861m 16s) completed: 36%) loss_emb: 0.0000  loss: 1.2695  loss_TTT: 0.0318  acc: 0.6233  lr: 0.0000 
ep/it:545- 314 niter:209050  1064m 35s (- 1861m 4s) completed: 36%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0320  acc: 0.6279  lr: 0.0000 
ep/it:545- 364 niter:209100  1064m 52s (- 1860m 51s) completed: 36%) loss_emb: 0.0000  loss: 1.2528  loss_TTT: 0.0325  acc: 0.6289  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.599
ep/it:546-  31 niter:209150  1065m 13s (- 1860m 45s) completed: 36%) loss_emb: 0.0000  loss: 1.2608  loss_TTT: 0.0335  acc: 0.6265  lr: 0.0000 
ep/it:546-  81 niter:209200  1065m 29s (- 1860m 32s) completed: 36%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0326  acc: 0.6278  lr: 0.0000 
ep/it:546- 131 niter:209250  1065m 46s (- 1860m 20s) completed: 36%) loss_emb: 0.0000  loss: 1.2767  loss_TTT: 0.0329  acc: 0.6232  lr: 0.0000 
ep/it:546- 181 niter:209300  1066m 3s (- 1860m 7s) completed: 36%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0324  acc: 0.6272  lr: 0.0000 
ep/it:546- 231 niter:209350  1066m 19s (- 1859m 53s) completed: 36%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0328  acc: 0.6265  lr: 0.0000 
ep/it:546- 281 niter:209400  1066m 35s (- 1859m 40s) completed: 36%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0325  acc: 0.6281  lr: 0.0000 
ep/it:546- 331 niter:209450  1066m 52s (- 1859m 27s) completed: 36%) loss_emb: 0.0000  loss: 1.2598  loss_TTT: 0.0320  acc: 0.6262  lr: 0.0000 
ep/it:546- 381 niter:209500  1067m 8s (- 1859m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.2198  loss_TTT: 0.0329  acc: 0.6374  lr: 0.0000 
Validation time:
Validation loss:1.447, accuracy:0.596
ep/it:547-  48 niter:209550  1067m 29s (- 1859m 8s) completed: 36%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0319  acc: 0.6249  lr: 0.0000 
ep/it:547-  98 niter:209600  1067m 46s (- 1858m 55s) completed: 36%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0335  acc: 0.6232  lr: 0.0000 
ep/it:547- 148 niter:209650  1068m 2s (- 1858m 41s) completed: 36%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0316  acc: 0.6283  lr: 0.0000 
ep/it:547- 198 niter:209700  1068m 18s (- 1858m 27s) completed: 36%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0328  acc: 0.6233  lr: 0.0000 
ep/it:547- 248 niter:209750  1068m 35s (- 1858m 14s) completed: 36%) loss_emb: 0.0000  loss: 1.2560  loss_TTT: 0.0314  acc: 0.6273  lr: 0.0000 
ep/it:547- 298 niter:209800  1068m 51s (- 1858m 1s) completed: 36%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0321  acc: 0.6331  lr: 0.0000 
ep/it:547- 348 niter:209850  1069m 8s (- 1857m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0332  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.458, accuracy:0.592
ep/it:548-  15 niter:209900  1069m 28s (- 1857m 42s) completed: 36%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0324  acc: 0.6253  lr: 0.0000 
ep/it:548-  65 niter:209950  1069m 45s (- 1857m 29s) completed: 36%) loss_emb: 0.0000  loss: 1.2348  loss_TTT: 0.0339  acc: 0.6346  lr: 0.0000 
ep/it:548- 115 niter:210000  1070m 1s (- 1857m 15s) completed: 36%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0335  acc: 0.6232  lr: 0.0000 
ep/it:548- 165 niter:210050  1070m 18s (- 1857m 3s) completed: 36%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0327  acc: 0.6224  lr: 0.0000 
ep/it:548- 215 niter:210100  1070m 34s (- 1856m 49s) completed: 36%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0329  acc: 0.6267  lr: 0.0000 
ep/it:548- 265 niter:210150  1070m 51s (- 1856m 36s) completed: 36%) loss_emb: 0.0000  loss: 1.2585  loss_TTT: 0.0323  acc: 0.6271  lr: 0.0000 
ep/it:548- 315 niter:210200  1071m 7s (- 1856m 23s) completed: 36%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0308  acc: 0.6228  lr: 0.0000 
ep/it:548- 365 niter:210250  1071m 24s (- 1856m 11s) completed: 36%) loss_emb: 0.0000  loss: 1.2736  loss_TTT: 0.0341  acc: 0.6228  lr: 0.0000 
Validation time:
Validation loss:1.397, accuracy:0.605
ep/it:549-  32 niter:210300  1071m 45s (- 1856m 4s) completed: 36%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0332  acc: 0.6291  lr: 0.0000 
ep/it:549-  82 niter:210350  1072m 2s (- 1855m 52s) completed: 36%) loss_emb: 0.0000  loss: 1.2881  loss_TTT: 0.0341  acc: 0.6205  lr: 0.0000 
ep/it:549- 132 niter:210400  1072m 18s (- 1855m 38s) completed: 36%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0326  acc: 0.6245  lr: 0.0000 
ep/it:549- 182 niter:210450  1072m 34s (- 1855m 24s) completed: 36%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0328  acc: 0.6267  lr: 0.0000 
ep/it:549- 232 niter:210500  1072m 50s (- 1855m 11s) completed: 36%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0324  acc: 0.6337  lr: 0.0000 
ep/it:549- 282 niter:210550  1073m 8s (- 1854m 59s) completed: 36%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0308  acc: 0.6348  lr: 0.0000 
ep/it:549- 332 niter:210600  1073m 25s (- 1854m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.2632  loss_TTT: 0.0333  acc: 0.6244  lr: 0.0000 
ep/it:549- 382 niter:210650  1073m 42s (- 1854m 35s) completed: 36%) loss_emb: 0.0000  loss: 1.2395  loss_TTT: 0.0323  acc: 0.6326  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.600

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.51it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.68it/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:  2.5546117820777 avg: 2.5546117820777
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5443706060759723 avg: 2.549491194076836
--> 	 Eva. Repeat 22 :, FID. 0.1408, Diversity Real. 9.3965, Diversity. 9.9946, R_precision_real. [0.48925781 0.68945312 0.79882812], R_precision. [0.5        0.69824219 0.80859375], matching_score_real. 2.8921, matching_score_pred. 2.9712, skate_ratio. 0.0493, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4893 (traj_fail_50cm (Traj err)): 0.2832 (kps_fail_20cm): 0.3638 (kps_fail_50cm (Loc. err)): 0.1978 (kps_mean_err(m) (Avg. err)): 0.3745 
ep/it:550-  49 niter:210700  1074m 11s (- 1854m 42s) completed: 36%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0321  acc: 0.6320  lr: 0.0000 
ep/it:550-  99 niter:210750  1074m 27s (- 1854m 30s) completed: 36%) loss_emb: 0.0000  loss: 1.2498  loss_TTT: 0.0315  acc: 0.6283  lr: 0.0000 
ep/it:550- 149 niter:210800  1074m 44s (- 1854m 17s) completed: 36%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0325  acc: 0.6316  lr: 0.0000 
ep/it:550- 199 niter:210850  1075m 1s (- 1854m 4s) completed: 36%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0313  acc: 0.6284  lr: 0.0000 
ep/it:550- 249 niter:210900  1075m 18s (- 1853m 52s) completed: 36%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0327  acc: 0.6295  lr: 0.0000 
ep/it:550- 299 niter:210950  1075m 34s (- 1853m 39s) completed: 36%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0330  acc: 0.6305  lr: 0.0000 
ep/it:550- 349 niter:211000  1075m 51s (- 1853m 26s) completed: 36%) loss_emb: 0.0000  loss: 1.2559  loss_TTT: 0.0337  acc: 0.6275  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.592
ep/it:551-  16 niter:211050  1076m 12s (- 1853m 21s) completed: 36%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0329  acc: 0.6273  lr: 0.0000 
ep/it:551-  66 niter:211100  1076m 29s (- 1853m 8s) completed: 36%) loss_emb: 0.0000  loss: 1.2976  loss_TTT: 0.0334  acc: 0.6176  lr: 0.0000 
ep/it:551- 116 niter:211150  1076m 46s (- 1852m 55s) completed: 36%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0310  acc: 0.6278  lr: 0.0000 
ep/it:551- 166 niter:211200  1077m 2s (- 1852m 42s) completed: 36%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0330  acc: 0.6286  lr: 0.0000 
ep/it:551- 216 niter:211250  1077m 19s (- 1852m 28s) completed: 36%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0358  acc: 0.6247  lr: 0.0000 
ep/it:551- 266 niter:211300  1077m 35s (- 1852m 15s) completed: 36%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0344  acc: 0.6283  lr: 0.0000 
ep/it:551- 316 niter:211350  1077m 51s (- 1852m 1s) completed: 36%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0330  acc: 0.6277  lr: 0.0000 
ep/it:551- 366 niter:211400  1078m 8s (- 1851m 48s) completed: 36%) loss_emb: 0.0000  loss: 1.2596  loss_TTT: 0.0317  acc: 0.6265  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.598
ep/it:552-  33 niter:211450  1078m 28s (- 1851m 41s) completed: 36%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0316  acc: 0.6246  lr: 0.0000 
ep/it:552-  83 niter:211500  1078m 44s (- 1851m 27s) completed: 36%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0331  acc: 0.6270  lr: 0.0000 
ep/it:552- 133 niter:211550  1079m 0s (- 1851m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0324  acc: 0.6272  lr: 0.0000 
ep/it:552- 183 niter:211600  1079m 16s (- 1850m 59s) completed: 36%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0323  acc: 0.6315  lr: 0.0000 
ep/it:552- 233 niter:211650  1079m 33s (- 1850m 46s) completed: 36%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0335  acc: 0.6287  lr: 0.0000 
ep/it:552- 283 niter:211700  1079m 49s (- 1850m 33s) completed: 36%) loss_emb: 0.0000  loss: 1.2464  loss_TTT: 0.0332  acc: 0.6319  lr: 0.0000 
ep/it:552- 333 niter:211750  1080m 6s (- 1850m 20s) completed: 36%) loss_emb: 0.0000  loss: 1.2811  loss_TTT: 0.0334  acc: 0.6203  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.602
ep/it:553-   0 niter:211800  1080m 26s (- 1850m 13s) completed: 36%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0326  acc: 0.6270  lr: 0.0000 
ep/it:553-  50 niter:211850  1080m 43s (- 1850m 1s) completed: 36%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0330  acc: 0.6277  lr: 0.0000 
ep/it:553- 100 niter:211900  1081m 0s (- 1849m 47s) completed: 36%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0330  acc: 0.6299  lr: 0.0000 
ep/it:553- 150 niter:211950  1081m 16s (- 1849m 33s) completed: 36%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0322  acc: 0.6281  lr: 0.0000 
ep/it:553- 200 niter:212000  1081m 32s (- 1849m 20s) completed: 36%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0330  acc: 0.6289  lr: 0.0000 
ep/it:553- 250 niter:212050  1081m 49s (- 1849m 7s) completed: 36%) loss_emb: 0.0000  loss: 1.2562  loss_TTT: 0.0330  acc: 0.6274  lr: 0.0000 
ep/it:553- 300 niter:212100  1082m 5s (- 1848m 54s) completed: 36%) loss_emb: 0.0000  loss: 1.2632  loss_TTT: 0.0320  acc: 0.6258  lr: 0.0000 
ep/it:553- 350 niter:212150  1082m 22s (- 1848m 41s) completed: 36%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0313  acc: 0.6247  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.596
ep/it:554-  17 niter:212200  1082m 43s (- 1848m 34s) completed: 36%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0329  acc: 0.6199  lr: 0.0000 
ep/it:554-  67 niter:212250  1082m 59s (- 1848m 21s) completed: 36%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0332  acc: 0.6281  lr: 0.0000 
ep/it:554- 117 niter:212300  1083m 16s (- 1848m 9s) completed: 36%) loss_emb: 0.0000  loss: 1.2309  loss_TTT: 0.0318  acc: 0.6349  lr: 0.0000 
ep/it:554- 167 niter:212350  1083m 33s (- 1847m 56s) completed: 36%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0313  acc: 0.6297  lr: 0.0000 
ep/it:554- 217 niter:212400  1083m 49s (- 1847m 42s) completed: 36%) loss_emb: 0.0000  loss: 1.2377  loss_TTT: 0.0325  acc: 0.6325  lr: 0.0000 
ep/it:554- 267 niter:212450  1084m 6s (- 1847m 29s) completed: 36%) loss_emb: 0.0000  loss: 1.2281  loss_TTT: 0.0311  acc: 0.6351  lr: 0.0000 
ep/it:554- 317 niter:212500  1084m 22s (- 1847m 16s) completed: 36%) loss_emb: 0.0000  loss: 1.2478  loss_TTT: 0.0327  acc: 0.6297  lr: 0.0000 
ep/it:554- 367 niter:212550  1084m 39s (- 1847m 4s) completed: 36%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0322  acc: 0.6297  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.594
ep/it:555-  34 niter:212600  1085m 0s (- 1846m 58s) completed: 37%) loss_emb: 0.0000  loss: 1.2590  loss_TTT: 0.0330  acc: 0.6274  lr: 0.0000 
ep/it:555-  84 niter:212650  1085m 16s (- 1846m 44s) completed: 37%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0300  acc: 0.6286  lr: 0.0000 
ep/it:555- 134 niter:212700  1085m 34s (- 1846m 32s) completed: 37%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0330  acc: 0.6231  lr: 0.0000 
ep/it:555- 184 niter:212750  1085m 50s (- 1846m 19s) completed: 37%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0337  acc: 0.6312  lr: 0.0000 
ep/it:555- 234 niter:212800  1086m 7s (- 1846m 6s) completed: 37%) loss_emb: 0.0000  loss: 1.2760  loss_TTT: 0.0331  acc: 0.6219  lr: 0.0000 
ep/it:555- 284 niter:212850  1086m 24s (- 1845m 54s) completed: 37%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0312  acc: 0.6335  lr: 0.0000 
ep/it:555- 334 niter:212900  1086m 41s (- 1845m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0320  acc: 0.6247  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.597
ep/it:556-   1 niter:212950  1087m 1s (- 1845m 34s) completed: 37%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0313  acc: 0.6283  lr: 0.0000 
ep/it:556-  51 niter:213000  1087m 18s (- 1845m 21s) completed: 37%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0321  acc: 0.6302  lr: 0.0000 
ep/it:556- 101 niter:213050  1087m 35s (- 1845m 8s) completed: 37%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0329  acc: 0.6278  lr: 0.0000 
ep/it:556- 151 niter:213100  1087m 51s (- 1844m 55s) completed: 37%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0316  acc: 0.6269  lr: 0.0000 
ep/it:556- 201 niter:213150  1088m 8s (- 1844m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.2341  loss_TTT: 0.0335  acc: 0.6339  lr: 0.0000 
ep/it:556- 251 niter:213200  1088m 24s (- 1844m 28s) completed: 37%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0319  acc: 0.6285  lr: 0.0000 
ep/it:556- 301 niter:213250  1088m 41s (- 1844m 16s) completed: 37%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0333  acc: 0.6282  lr: 0.0000 
ep/it:556- 351 niter:213300  1088m 58s (- 1844m 2s) completed: 37%) loss_emb: 0.0000  loss: 1.2516  loss_TTT: 0.0318  acc: 0.6282  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.593
ep/it:557-  18 niter:213350  1089m 18s (- 1843m 56s) completed: 37%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0320  acc: 0.6305  lr: 0.0000 
ep/it:557-  68 niter:213400  1089m 35s (- 1843m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.2755  loss_TTT: 0.0334  acc: 0.6223  lr: 0.0000 
ep/it:557- 118 niter:213450  1089m 51s (- 1843m 30s) completed: 37%) loss_emb: 0.0000  loss: 1.2502  loss_TTT: 0.0315  acc: 0.6285  lr: 0.0000 
ep/it:557- 168 niter:213500  1090m 8s (- 1843m 17s) completed: 37%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0323  acc: 0.6308  lr: 0.0000 
ep/it:557- 218 niter:213550  1090m 25s (- 1843m 5s) completed: 37%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0329  acc: 0.6305  lr: 0.0000 
ep/it:557- 268 niter:213600  1090m 42s (- 1842m 51s) completed: 37%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0336  acc: 0.6253  lr: 0.0000 
ep/it:557- 318 niter:213650  1090m 58s (- 1842m 38s) completed: 37%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0325  acc: 0.6263  lr: 0.0000 
ep/it:557- 368 niter:213700  1091m 15s (- 1842m 25s) completed: 37%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0316  acc: 0.6247  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.593
ep/it:558-  35 niter:213750  1091m 35s (- 1842m 18s) completed: 37%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0326  acc: 0.6286  lr: 0.0000 
ep/it:558-  85 niter:213800  1091m 52s (- 1842m 5s) completed: 37%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0328  acc: 0.6323  lr: 0.0000 
ep/it:558- 135 niter:213850  1092m 8s (- 1841m 52s) completed: 37%) loss_emb: 0.0000  loss: 1.2223  loss_TTT: 0.0318  acc: 0.6374  lr: 0.0000 
ep/it:558- 185 niter:213900  1092m 25s (- 1841m 38s) completed: 37%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0323  acc: 0.6262  lr: 0.0000 
ep/it:558- 235 niter:213950  1092m 42s (- 1841m 25s) completed: 37%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0339  acc: 0.6268  lr: 0.0000 
ep/it:558- 285 niter:214000  1092m 59s (- 1841m 13s) completed: 37%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0335  acc: 0.6233  lr: 0.0000 
ep/it:558- 335 niter:214050  1093m 16s (- 1841m 0s) completed: 37%) loss_emb: 0.0000  loss: 1.2325  loss_TTT: 0.0326  acc: 0.6334  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.591
ep/it:559-   2 niter:214100  1093m 36s (- 1840m 53s) completed: 37%) loss_emb: 0.0000  loss: 1.2811  loss_TTT: 0.0319  acc: 0.6204  lr: 0.0000 
ep/it:559-  52 niter:214150  1093m 52s (- 1840m 40s) completed: 37%) loss_emb: 0.0000  loss: 1.2244  loss_TTT: 0.0325  acc: 0.6369  lr: 0.0000 
ep/it:559- 102 niter:214200  1094m 9s (- 1840m 27s) completed: 37%) loss_emb: 0.0000  loss: 1.2501  loss_TTT: 0.0320  acc: 0.6298  lr: 0.0000 
ep/it:559- 152 niter:214250  1094m 26s (- 1840m 15s) completed: 37%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0326  acc: 0.6240  lr: 0.0000 
ep/it:559- 202 niter:214300  1094m 43s (- 1840m 2s) completed: 37%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0323  acc: 0.6224  lr: 0.0000 
ep/it:559- 252 niter:214350  1095m 0s (- 1839m 49s) completed: 37%) loss_emb: 0.0000  loss: 1.2713  loss_TTT: 0.0317  acc: 0.6229  lr: 0.0000 
ep/it:559- 302 niter:214400  1095m 17s (- 1839m 36s) completed: 37%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0334  acc: 0.6292  lr: 0.0000 
ep/it:559- 352 niter:214450  1095m 34s (- 1839m 24s) completed: 37%) loss_emb: 0.0000  loss: 1.2598  loss_TTT: 0.0347  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.51it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.88it/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:  2.53564484231174 avg: 2.53564484231174
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5386124588549137 avg: 2.537128650583327
--> 	 Eva. Repeat 22 :, FID. 0.0946, Diversity Real. 9.2693, Diversity. 9.7954, R_precision_real. [0.51953125 0.6953125  0.78808594], R_precision. [0.51660156 0.72167969 0.80273438], matching_score_real. 2.9363, matching_score_pred. 2.9291, skate_ratio. 0.0426, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5010 (traj_fail_50cm (Traj err)): 0.2881 (kps_fail_20cm): 0.3586 (kps_fail_50cm (Loc. err)): 0.2025 (kps_mean_err(m) (Avg. err)): 0.3716 
ep/it:560-  19 niter:214500  1096m 4s (- 1839m 34s) completed: 37%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0317  acc: 0.6310  lr: 0.0000 
ep/it:560-  69 niter:214550  1096m 22s (- 1839m 22s) completed: 37%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0332  acc: 0.6245  lr: 0.0000 
ep/it:560- 119 niter:214600  1096m 39s (- 1839m 10s) completed: 37%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0318  acc: 0.6260  lr: 0.0000 
ep/it:560- 169 niter:214650  1096m 56s (- 1838m 57s) completed: 37%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0322  acc: 0.6273  lr: 0.0000 
ep/it:560- 219 niter:214700  1097m 12s (- 1838m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0323  acc: 0.6284  lr: 0.0000 
ep/it:560- 269 niter:214750  1097m 29s (- 1838m 30s) completed: 37%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0327  acc: 0.6262  lr: 0.0000 
ep/it:560- 319 niter:214800  1097m 46s (- 1838m 18s) completed: 37%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0336  acc: 0.6302  lr: 0.0000 
ep/it:560- 369 niter:214850  1098m 3s (- 1838m 5s) completed: 37%) loss_emb: 0.0000  loss: 1.2374  loss_TTT: 0.0314  acc: 0.6330  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594
ep/it:561-  36 niter:214900  1098m 23s (- 1837m 59s) completed: 37%) loss_emb: 0.0000  loss: 1.2424  loss_TTT: 0.0315  acc: 0.6303  lr: 0.0000 
ep/it:561-  86 niter:214950  1098m 40s (- 1837m 46s) completed: 37%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0334  acc: 0.6248  lr: 0.0000 
ep/it:561- 136 niter:215000  1098m 57s (- 1837m 33s) completed: 37%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0337  acc: 0.6293  lr: 0.0000 
ep/it:561- 186 niter:215050  1099m 14s (- 1837m 21s) completed: 37%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0323  acc: 0.6271  lr: 0.0000 
ep/it:561- 236 niter:215100  1099m 31s (- 1837m 8s) completed: 37%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0313  acc: 0.6284  lr: 0.0000 
ep/it:561- 286 niter:215150  1099m 47s (- 1836m 54s) completed: 37%) loss_emb: 0.0000  loss: 1.2536  loss_TTT: 0.0324  acc: 0.6304  lr: 0.0000 
ep/it:561- 336 niter:215200  1100m 4s (- 1836m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.2652  loss_TTT: 0.0339  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.608
ep/it:562-   3 niter:215250  1100m 24s (- 1836m 34s) completed: 37%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0307  acc: 0.6274  lr: 0.0000 
ep/it:562-  53 niter:215300  1100m 41s (- 1836m 21s) completed: 37%) loss_emb: 0.0000  loss: 1.2289  loss_TTT: 0.0303  acc: 0.6364  lr: 0.0000 
ep/it:562- 103 niter:215350  1100m 58s (- 1836m 8s) completed: 37%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0328  acc: 0.6248  lr: 0.0000 
ep/it:562- 153 niter:215400  1101m 14s (- 1835m 55s) completed: 37%) loss_emb: 0.0000  loss: 1.2498  loss_TTT: 0.0333  acc: 0.6297  lr: 0.0000 
ep/it:562- 203 niter:215450  1101m 31s (- 1835m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.2495  loss_TTT: 0.0331  acc: 0.6298  lr: 0.0000 
ep/it:562- 253 niter:215500  1101m 48s (- 1835m 29s) completed: 37%) loss_emb: 0.0000  loss: 1.2360  loss_TTT: 0.0327  acc: 0.6339  lr: 0.0000 
ep/it:562- 303 niter:215550  1102m 5s (- 1835m 17s) completed: 37%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0321  acc: 0.6207  lr: 0.0000 
ep/it:562- 353 niter:215600  1102m 22s (- 1835m 4s) completed: 37%) loss_emb: 0.0000  loss: 1.2261  loss_TTT: 0.0326  acc: 0.6367  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.597
ep/it:563-  20 niter:215650  1102m 42s (- 1834m 57s) completed: 37%) loss_emb: 0.0000  loss: 1.2466  loss_TTT: 0.0328  acc: 0.6296  lr: 0.0000 
ep/it:563-  70 niter:215700  1102m 59s (- 1834m 44s) completed: 37%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0319  acc: 0.6318  lr: 0.0000 
ep/it:563- 120 niter:215750  1103m 16s (- 1834m 31s) completed: 37%) loss_emb: 0.0000  loss: 1.2489  loss_TTT: 0.0307  acc: 0.6296  lr: 0.0000 
ep/it:563- 170 niter:215800  1103m 33s (- 1834m 18s) completed: 37%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0319  acc: 0.6274  lr: 0.0000 
ep/it:563- 220 niter:215850  1103m 50s (- 1834m 6s) completed: 37%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0316  acc: 0.6354  lr: 0.0000 
ep/it:563- 270 niter:215900  1104m 6s (- 1833m 52s) completed: 37%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0340  acc: 0.6229  lr: 0.0000 
ep/it:563- 320 niter:215950  1104m 22s (- 1833m 38s) completed: 37%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0337  acc: 0.6236  lr: 0.0000 
ep/it:563- 370 niter:216000  1104m 39s (- 1833m 26s) completed: 37%) loss_emb: 0.0000  loss: 1.2396  loss_TTT: 0.0329  acc: 0.6325  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.602
ep/it:564-  37 niter:216050  1105m 1s (- 1833m 20s) completed: 37%) loss_emb: 0.0000  loss: 1.2398  loss_TTT: 0.0309  acc: 0.6327  lr: 0.0000 
ep/it:564-  87 niter:216100  1105m 18s (- 1833m 7s) completed: 37%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0323  acc: 0.6313  lr: 0.0000 
ep/it:564- 137 niter:216150  1105m 35s (- 1832m 55s) completed: 37%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0315  acc: 0.6267  lr: 0.0000 
ep/it:564- 187 niter:216200  1105m 51s (- 1832m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0329  acc: 0.6322  lr: 0.0000 
ep/it:564- 237 niter:216250  1106m 8s (- 1832m 29s) completed: 37%) loss_emb: 0.0000  loss: 1.2147  loss_TTT: 0.0323  acc: 0.6393  lr: 0.0000 
ep/it:564- 287 niter:216300  1106m 25s (- 1832m 16s) completed: 37%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0329  acc: 0.6284  lr: 0.0000 
ep/it:564- 337 niter:216350  1106m 42s (- 1832m 3s) completed: 37%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0331  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.594
ep/it:565-   4 niter:216400  1107m 2s (- 1831m 56s) completed: 37%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0324  acc: 0.6289  lr: 0.0000 
ep/it:565-  54 niter:216450  1107m 19s (- 1831m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0318  acc: 0.6274  lr: 0.0000 
ep/it:565- 104 niter:216500  1107m 35s (- 1831m 30s) completed: 37%) loss_emb: 0.0000  loss: 1.2432  loss_TTT: 0.0315  acc: 0.6311  lr: 0.0000 
ep/it:565- 154 niter:216550  1107m 52s (- 1831m 17s) completed: 37%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0316  acc: 0.6328  lr: 0.0000 
ep/it:565- 204 niter:216600  1108m 9s (- 1831m 4s) completed: 37%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0337  acc: 0.6296  lr: 0.0000 
ep/it:565- 254 niter:216650  1108m 26s (- 1830m 52s) completed: 37%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0331  acc: 0.6282  lr: 0.0000 
ep/it:565- 304 niter:216700  1108m 42s (- 1830m 37s) completed: 37%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0324  acc: 0.6296  lr: 0.0000 
ep/it:565- 354 niter:216750  1108m 59s (- 1830m 25s) completed: 37%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0331  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.599
ep/it:566-  21 niter:216800  1109m 19s (- 1830m 17s) completed: 37%) loss_emb: 0.0000  loss: 1.2314  loss_TTT: 0.0316  acc: 0.6344  lr: 0.0000 
ep/it:566-  71 niter:216850  1109m 36s (- 1830m 4s) completed: 37%) loss_emb: 0.0000  loss: 1.2597  loss_TTT: 0.0326  acc: 0.6264  lr: 0.0000 
ep/it:566- 121 niter:216900  1109m 52s (- 1829m 49s) completed: 37%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0325  acc: 0.6253  lr: 0.0000 
ep/it:566- 171 niter:216950  1110m 8s (- 1829m 36s) completed: 37%) loss_emb: 0.0000  loss: 1.2489  loss_TTT: 0.0312  acc: 0.6304  lr: 0.0000 
ep/it:566- 221 niter:217000  1110m 25s (- 1829m 23s) completed: 37%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0315  acc: 0.6291  lr: 0.0000 
ep/it:566- 271 niter:217050  1110m 42s (- 1829m 10s) completed: 37%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0321  acc: 0.6201  lr: 0.0000 
ep/it:566- 321 niter:217100  1110m 58s (- 1828m 56s) completed: 37%) loss_emb: 0.0000  loss: 1.2478  loss_TTT: 0.0326  acc: 0.6301  lr: 0.0000 
ep/it:566- 371 niter:217150  1111m 15s (- 1828m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0334  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.596
ep/it:567-  38 niter:217200  1111m 35s (- 1828m 35s) completed: 37%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0311  acc: 0.6312  lr: 0.0000 
ep/it:567-  88 niter:217250  1111m 51s (- 1828m 21s) completed: 37%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0333  acc: 0.6332  lr: 0.0000 
ep/it:567- 138 niter:217300  1112m 8s (- 1828m 8s) completed: 37%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0294  acc: 0.6276  lr: 0.0000 
ep/it:567- 188 niter:217350  1112m 24s (- 1827m 54s) completed: 37%) loss_emb: 0.0000  loss: 1.2347  loss_TTT: 0.0309  acc: 0.6342  lr: 0.0000 
ep/it:567- 238 niter:217400  1112m 40s (- 1827m 41s) completed: 37%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0339  acc: 0.6280  lr: 0.0000 
ep/it:567- 288 niter:217450  1112m 57s (- 1827m 27s) completed: 37%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0316  acc: 0.6334  lr: 0.0000 
ep/it:567- 338 niter:217500  1113m 14s (- 1827m 14s) completed: 37%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0334  acc: 0.6213  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.593
ep/it:568-   5 niter:217550  1113m 35s (- 1827m 8s) completed: 37%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0343  acc: 0.6279  lr: 0.0000 
ep/it:568-  55 niter:217600  1113m 52s (- 1826m 55s) completed: 37%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0329  acc: 0.6296  lr: 0.0000 
ep/it:568- 105 niter:217650  1114m 9s (- 1826m 43s) completed: 37%) loss_emb: 0.0000  loss: 1.2411  loss_TTT: 0.0316  acc: 0.6316  lr: 0.0000 
ep/it:568- 155 niter:217700  1114m 26s (- 1826m 30s) completed: 37%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0319  acc: 0.6213  lr: 0.0000 
ep/it:568- 205 niter:217750  1114m 42s (- 1826m 16s) completed: 37%) loss_emb: 0.0000  loss: 1.2353  loss_TTT: 0.0319  acc: 0.6331  lr: 0.0000 
ep/it:568- 255 niter:217800  1114m 58s (- 1826m 2s) completed: 37%) loss_emb: 0.0000  loss: 1.2358  loss_TTT: 0.0326  acc: 0.6326  lr: 0.0000 
ep/it:568- 305 niter:217850  1115m 15s (- 1825m 49s) completed: 37%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0319  acc: 0.6271  lr: 0.0000 
ep/it:568- 355 niter:217900  1115m 31s (- 1825m 36s) completed: 37%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0316  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.593
ep/it:569-  22 niter:217950  1115m 52s (- 1825m 29s) completed: 37%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0338  acc: 0.6301  lr: 0.0000 
ep/it:569-  72 niter:218000  1116m 8s (- 1825m 15s) completed: 37%) loss_emb: 0.0000  loss: 1.2385  loss_TTT: 0.0315  acc: 0.6335  lr: 0.0000 
ep/it:569- 122 niter:218050  1116m 25s (- 1825m 2s) completed: 37%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0334  acc: 0.6252  lr: 0.0000 
ep/it:569- 172 niter:218100  1116m 43s (- 1824m 50s) completed: 37%) loss_emb: 0.0000  loss: 1.2489  loss_TTT: 0.0319  acc: 0.6302  lr: 0.0000 
ep/it:569- 222 niter:218150  1116m 59s (- 1824m 36s) completed: 37%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0326  acc: 0.6297  lr: 0.0000 
ep/it:569- 272 niter:218200  1117m 15s (- 1824m 22s) completed: 37%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0317  acc: 0.6262  lr: 0.0000 
ep/it:569- 322 niter:218250  1117m 31s (- 1824m 9s) completed: 37%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0314  acc: 0.6272  lr: 0.0000 
ep/it:569- 372 niter:218300  1117m 48s (- 1823m 55s) completed: 37%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0327  acc: 0.6250  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.597

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.30it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.63it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.10it/s]
100%|██████████| 47/47 [00:06<00:00,  7.07it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.55779633205384 avg: 2.55779633205384
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.517829780932516 avg: 2.537813056493178
--> 	 Eva. Repeat 22 :, FID. 0.1534, Diversity Real. 9.0312, Diversity. 9.7730, R_precision_real. [0.50878906 0.71386719 0.79980469], R_precision. [0.50097656 0.69628906 0.79589844], matching_score_real. 2.9403, matching_score_pred. 3.0078, skate_ratio. 0.0452, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5068 (traj_fail_50cm (Traj err)): 0.2793 (kps_fail_20cm): 0.3602 (kps_fail_50cm (Loc. err)): 0.1884 (kps_mean_err(m) (Avg. err)): 0.3623 
ep/it:570-  39 niter:218350  1118m 16s (- 1824m 1s) completed: 38%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0316  acc: 0.6240  lr: 0.0000 
ep/it:570-  89 niter:218400  1118m 33s (- 1823m 47s) completed: 38%) loss_emb: 0.0000  loss: 1.2416  loss_TTT: 0.0337  acc: 0.6315  lr: 0.0000 
ep/it:570- 139 niter:218450  1118m 49s (- 1823m 33s) completed: 38%) loss_emb: 0.0000  loss: 1.2466  loss_TTT: 0.0321  acc: 0.6306  lr: 0.0000 
ep/it:570- 189 niter:218500  1119m 5s (- 1823m 20s) completed: 38%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0317  acc: 0.6293  lr: 0.0000 
ep/it:570- 239 niter:218550  1119m 23s (- 1823m 7s) completed: 38%) loss_emb: 0.0000  loss: 1.2545  loss_TTT: 0.0322  acc: 0.6288  lr: 0.0000 
ep/it:570- 289 niter:218600  1119m 39s (- 1822m 53s) completed: 38%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0332  acc: 0.6299  lr: 0.0000 
ep/it:570- 339 niter:218650  1119m 55s (- 1822m 40s) completed: 38%) loss_emb: 0.0000  loss: 1.2350  loss_TTT: 0.0310  acc: 0.6328  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.604
ep/it:571-   6 niter:218700  1120m 16s (- 1822m 32s) completed: 38%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0303  acc: 0.6267  lr: 0.0000 
ep/it:571-  56 niter:218750  1120m 32s (- 1822m 19s) completed: 38%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0344  acc: 0.6285  lr: 0.0000 
ep/it:571- 106 niter:218800  1120m 49s (- 1822m 6s) completed: 38%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0334  acc: 0.6270  lr: 0.0000 
ep/it:571- 156 niter:218850  1121m 6s (- 1821m 53s) completed: 38%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0337  acc: 0.6273  lr: 0.0000 
ep/it:571- 206 niter:218900  1121m 22s (- 1821m 38s) completed: 38%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0324  acc: 0.6256  lr: 0.0000 
ep/it:571- 256 niter:218950  1121m 38s (- 1821m 25s) completed: 38%) loss_emb: 0.0000  loss: 1.2528  loss_TTT: 0.0311  acc: 0.6293  lr: 0.0000 
ep/it:571- 306 niter:219000  1121m 55s (- 1821m 12s) completed: 38%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0339  acc: 0.6264  lr: 0.0000 
ep/it:571- 356 niter:219050  1122m 13s (- 1821m 0s) completed: 38%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0320  acc: 0.6271  lr: 0.0000 
Validation time:
Validation loss:1.456, accuracy:0.591
ep/it:572-  23 niter:219100  1122m 33s (- 1820m 53s) completed: 38%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0318  acc: 0.6226  lr: 0.0000 
ep/it:572-  73 niter:219150  1122m 49s (- 1820m 39s) completed: 38%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0327  acc: 0.6276  lr: 0.0000 
ep/it:572- 123 niter:219200  1123m 6s (- 1820m 26s) completed: 38%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0326  acc: 0.6301  lr: 0.0000 
ep/it:572- 173 niter:219250  1123m 23s (- 1820m 13s) completed: 38%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0327  acc: 0.6242  lr: 0.0000 
ep/it:572- 223 niter:219300  1123m 40s (- 1820m 0s) completed: 38%) loss_emb: 0.0000  loss: 1.2282  loss_TTT: 0.0318  acc: 0.6355  lr: 0.0000 
ep/it:572- 273 niter:219350  1123m 57s (- 1819m 47s) completed: 38%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0318  acc: 0.6234  lr: 0.0000 
ep/it:572- 323 niter:219400  1124m 14s (- 1819m 34s) completed: 38%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0326  acc: 0.6288  lr: 0.0000 
ep/it:572- 373 niter:219450  1124m 30s (- 1819m 21s) completed: 38%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0338  acc: 0.6252  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.597
ep/it:573-  40 niter:219500  1124m 51s (- 1819m 15s) completed: 38%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0317  acc: 0.6263  lr: 0.0000 
ep/it:573-  90 niter:219550  1125m 9s (- 1819m 3s) completed: 38%) loss_emb: 0.0000  loss: 1.2427  loss_TTT: 0.0325  acc: 0.6305  lr: 0.0000 
ep/it:573- 140 niter:219600  1125m 25s (- 1818m 49s) completed: 38%) loss_emb: 0.0000  loss: 1.2372  loss_TTT: 0.0330  acc: 0.6329  lr: 0.0000 
ep/it:573- 190 niter:219650  1125m 42s (- 1818m 36s) completed: 38%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0330  acc: 0.6299  lr: 0.0000 
ep/it:573- 240 niter:219700  1125m 59s (- 1818m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.2348  loss_TTT: 0.0310  acc: 0.6336  lr: 0.0000 
ep/it:573- 290 niter:219750  1126m 15s (- 1818m 9s) completed: 38%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0305  acc: 0.6284  lr: 0.0000 
ep/it:573- 340 niter:219800  1126m 32s (- 1817m 56s) completed: 38%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0316  acc: 0.6274  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.599
ep/it:574-   7 niter:219850  1126m 52s (- 1817m 49s) completed: 38%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0327  acc: 0.6294  lr: 0.0000 
ep/it:574-  57 niter:219900  1127m 9s (- 1817m 36s) completed: 38%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0326  acc: 0.6256  lr: 0.0000 
ep/it:574- 107 niter:219950  1127m 26s (- 1817m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0334  acc: 0.6248  lr: 0.0000 
ep/it:574- 157 niter:220000  1127m 43s (- 1817m 10s) completed: 38%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0314  acc: 0.6296  lr: 0.0000 
ep/it:574- 207 niter:220050  1128m 0s (- 1816m 58s) completed: 38%) loss_emb: 0.0000  loss: 1.2328  loss_TTT: 0.0320  acc: 0.6346  lr: 0.0000 
ep/it:574- 257 niter:220100  1128m 17s (- 1816m 45s) completed: 38%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0328  acc: 0.6235  lr: 0.0000 
ep/it:574- 307 niter:220150  1128m 33s (- 1816m 31s) completed: 38%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0338  acc: 0.6297  lr: 0.0000 
ep/it:574- 357 niter:220200  1128m 51s (- 1816m 19s) completed: 38%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0323  acc: 0.6198  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.595
ep/it:575-  24 niter:220250  1129m 11s (- 1816m 12s) completed: 38%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0319  acc: 0.6272  lr: 0.0000 
ep/it:575-  74 niter:220300  1129m 28s (- 1815m 58s) completed: 38%) loss_emb: 0.0000  loss: 1.2360  loss_TTT: 0.0327  acc: 0.6335  lr: 0.0000 
ep/it:575- 124 niter:220350  1129m 44s (- 1815m 44s) completed: 38%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0324  acc: 0.6254  lr: 0.0000 
ep/it:575- 174 niter:220400  1130m 2s (- 1815m 32s) completed: 38%) loss_emb: 0.0000  loss: 1.2506  loss_TTT: 0.0313  acc: 0.6294  lr: 0.0000 
ep/it:575- 224 niter:220450  1130m 18s (- 1815m 18s) completed: 38%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0330  acc: 0.6273  lr: 0.0000 
ep/it:575- 274 niter:220500  1130m 35s (- 1815m 5s) completed: 38%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0315  acc: 0.6303  lr: 0.0000 
ep/it:575- 324 niter:220550  1130m 52s (- 1814m 52s) completed: 38%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0336  acc: 0.6261  lr: 0.0000 
ep/it:575- 374 niter:220600  1131m 8s (- 1814m 38s) completed: 38%) loss_emb: 0.0000  loss: 1.2290  loss_TTT: 0.0320  acc: 0.6356  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.597
ep/it:576-  41 niter:220650  1131m 28s (- 1814m 30s) completed: 38%) loss_emb: 0.0000  loss: 1.2565  loss_TTT: 0.0325  acc: 0.6282  lr: 0.0000 
ep/it:576-  91 niter:220700  1131m 44s (- 1814m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0306  acc: 0.6268  lr: 0.0000 
ep/it:576- 141 niter:220750  1132m 1s (- 1814m 3s) completed: 38%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0332  acc: 0.6283  lr: 0.0000 
ep/it:576- 191 niter:220800  1132m 17s (- 1813m 49s) completed: 38%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0309  acc: 0.6285  lr: 0.0000 
ep/it:576- 241 niter:220850  1132m 34s (- 1813m 36s) completed: 38%) loss_emb: 0.0000  loss: 1.2416  loss_TTT: 0.0325  acc: 0.6314  lr: 0.0000 
ep/it:576- 291 niter:220900  1132m 51s (- 1813m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.2401  loss_TTT: 0.0322  acc: 0.6330  lr: 0.0000 
ep/it:576- 341 niter:220950  1133m 7s (- 1813m 9s) completed: 38%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0323  acc: 0.6254  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.592
ep/it:577-   8 niter:221000  1133m 28s (- 1813m 2s) completed: 38%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0333  acc: 0.6299  lr: 0.0000 
ep/it:577-  58 niter:221050  1133m 44s (- 1812m 48s) completed: 38%) loss_emb: 0.0000  loss: 1.2640  loss_TTT: 0.0322  acc: 0.6261  lr: 0.0000 
ep/it:577- 108 niter:221100  1134m 1s (- 1812m 35s) completed: 38%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0322  acc: 0.6276  lr: 0.0000 
ep/it:577- 158 niter:221150  1134m 18s (- 1812m 22s) completed: 38%) loss_emb: 0.0000  loss: 1.2419  loss_TTT: 0.0331  acc: 0.6324  lr: 0.0000 
ep/it:577- 208 niter:221200  1134m 34s (- 1812m 8s) completed: 38%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0309  acc: 0.6268  lr: 0.0000 
ep/it:577- 258 niter:221250  1134m 51s (- 1811m 55s) completed: 38%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0325  acc: 0.6236  lr: 0.0000 
ep/it:577- 308 niter:221300  1135m 8s (- 1811m 42s) completed: 38%) loss_emb: 0.0000  loss: 1.2432  loss_TTT: 0.0320  acc: 0.6322  lr: 0.0000 
ep/it:577- 358 niter:221350  1135m 24s (- 1811m 28s) completed: 38%) loss_emb: 0.0000  loss: 1.2474  loss_TTT: 0.0326  acc: 0.6297  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.600
ep/it:578-  25 niter:221400  1135m 45s (- 1811m 21s) completed: 38%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0324  acc: 0.6250  lr: 0.0000 
ep/it:578-  75 niter:221450  1136m 2s (- 1811m 8s) completed: 38%) loss_emb: 0.0000  loss: 1.2483  loss_TTT: 0.0332  acc: 0.6305  lr: 0.0000 
ep/it:578- 125 niter:221500  1136m 19s (- 1810m 55s) completed: 38%) loss_emb: 0.0000  loss: 1.2339  loss_TTT: 0.0320  acc: 0.6343  lr: 0.0000 
ep/it:578- 175 niter:221550  1136m 36s (- 1810m 42s) completed: 38%) loss_emb: 0.0000  loss: 1.2259  loss_TTT: 0.0314  acc: 0.6365  lr: 0.0000 
ep/it:578- 225 niter:221600  1136m 52s (- 1810m 29s) completed: 38%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0319  acc: 0.6311  lr: 0.0000 
ep/it:578- 275 niter:221650  1137m 9s (- 1810m 16s) completed: 38%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0310  acc: 0.6339  lr: 0.0000 
ep/it:578- 325 niter:221700  1137m 25s (- 1810m 2s) completed: 38%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0339  acc: 0.6221  lr: 0.0000 
ep/it:578- 375 niter:221750  1137m 42s (- 1809m 49s) completed: 38%) loss_emb: 0.0000  loss: 1.2386  loss_TTT: 0.0343  acc: 0.6327  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.592
ep/it:579-  42 niter:221800  1138m 2s (- 1809m 41s) completed: 38%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0316  acc: 0.6284  lr: 0.0000 
ep/it:579-  92 niter:221850  1138m 19s (- 1809m 27s) completed: 38%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0326  acc: 0.6247  lr: 0.0000 
ep/it:579- 142 niter:221900  1138m 36s (- 1809m 14s) completed: 38%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0323  acc: 0.6335  lr: 0.0000 
ep/it:579- 192 niter:221950  1138m 52s (- 1809m 1s) completed: 38%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0318  acc: 0.6237  lr: 0.0000 
ep/it:579- 242 niter:222000  1139m 9s (- 1808m 47s) completed: 38%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0324  acc: 0.6316  lr: 0.0000 
ep/it:579- 292 niter:222050  1139m 26s (- 1808m 34s) completed: 38%) loss_emb: 0.0000  loss: 1.2629  loss_TTT: 0.0329  acc: 0.6257  lr: 0.0000 
ep/it:579- 342 niter:222100  1139m 42s (- 1808m 21s) completed: 38%) loss_emb: 0.0000  loss: 1.2247  loss_TTT: 0.0315  acc: 0.6352  lr: 0.0000 
Validation time:
Validation loss:1.480, accuracy:0.584

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.09it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.72it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.01it/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:  2.5524895088747144 avg: 2.5524895088747144
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.537543478421867 avg: 2.5450164936482906
--> 	 Eva. Repeat 22 :, FID. 0.1674, Diversity Real. 9.5375, Diversity. 10.0053, R_precision_real. [0.54003906 0.73339844 0.8203125 ], R_precision. [0.51660156 0.69042969 0.78320312], matching_score_real. 2.9075, matching_score_pred. 3.0205, skate_ratio. 0.0487, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5039 (traj_fail_50cm (Traj err)): 0.2744 (kps_fail_20cm): 0.3587 (kps_fail_50cm (Loc. err)): 0.1950 (kps_mean_err(m) (Avg. err)): 0.3780 
ep/it:580-   9 niter:222150  1140m 11s (- 1808m 26s) completed: 38%) loss_emb: 0.0000  loss: 1.2511  loss_TTT: 0.0328  acc: 0.6303  lr: 0.0000 
ep/it:580-  59 niter:222200  1140m 27s (- 1808m 13s) completed: 38%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0327  acc: 0.6326  lr: 0.0000 
ep/it:580- 109 niter:222250  1140m 44s (- 1807m 59s) completed: 38%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0326  acc: 0.6276  lr: 0.0000 
ep/it:580- 159 niter:222300  1141m 1s (- 1807m 46s) completed: 38%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0328  acc: 0.6297  lr: 0.0000 
ep/it:580- 209 niter:222350  1141m 17s (- 1807m 32s) completed: 38%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0319  acc: 0.6301  lr: 0.0000 
ep/it:580- 259 niter:222400  1141m 34s (- 1807m 19s) completed: 38%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0319  acc: 0.6324  lr: 0.0000 
ep/it:580- 309 niter:222450  1141m 51s (- 1807m 5s) completed: 38%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0315  acc: 0.6247  lr: 0.0000 
ep/it:580- 359 niter:222500  1142m 7s (- 1806m 52s) completed: 38%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0310  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.599
ep/it:581-  26 niter:222550  1142m 29s (- 1806m 47s) completed: 38%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0318  acc: 0.6284  lr: 0.0000 
ep/it:581-  76 niter:222600  1142m 46s (- 1806m 33s) completed: 38%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0308  acc: 0.6328  lr: 0.0000 
ep/it:581- 126 niter:222650  1143m 2s (- 1806m 19s) completed: 38%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0312  acc: 0.6327  lr: 0.0000 
ep/it:581- 176 niter:222700  1143m 19s (- 1806m 6s) completed: 38%) loss_emb: 0.0000  loss: 1.2447  loss_TTT: 0.0316  acc: 0.6304  lr: 0.0000 
ep/it:581- 226 niter:222750  1143m 35s (- 1805m 53s) completed: 38%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0332  acc: 0.6265  lr: 0.0000 
ep/it:581- 276 niter:222800  1143m 52s (- 1805m 39s) completed: 38%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0324  acc: 0.6300  lr: 0.0000 
ep/it:581- 326 niter:222850  1144m 8s (- 1805m 25s) completed: 38%) loss_emb: 0.0000  loss: 1.2428  loss_TTT: 0.0335  acc: 0.6311  lr: 0.0000 
ep/it:581- 376 niter:222900  1144m 25s (- 1805m 11s) completed: 38%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0323  acc: 0.6218  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.606
ep/it:582-  43 niter:222950  1144m 45s (- 1805m 4s) completed: 38%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0344  acc: 0.6275  lr: 0.0000 
ep/it:582-  93 niter:223000  1145m 1s (- 1804m 50s) completed: 38%) loss_emb: 0.0000  loss: 1.2400  loss_TTT: 0.0317  acc: 0.6309  lr: 0.0000 
ep/it:582- 143 niter:223050  1145m 18s (- 1804m 37s) completed: 38%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0327  acc: 0.6238  lr: 0.0000 
ep/it:582- 193 niter:223100  1145m 35s (- 1804m 24s) completed: 38%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0326  acc: 0.6292  lr: 0.0000 
ep/it:582- 243 niter:223150  1145m 52s (- 1804m 10s) completed: 38%) loss_emb: 0.0000  loss: 1.2495  loss_TTT: 0.0318  acc: 0.6296  lr: 0.0000 
ep/it:582- 293 niter:223200  1146m 8s (- 1803m 56s) completed: 38%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0330  acc: 0.6340  lr: 0.0000 
ep/it:582- 343 niter:223250  1146m 25s (- 1803m 43s) completed: 38%) loss_emb: 0.0000  loss: 1.2348  loss_TTT: 0.0310  acc: 0.6332  lr: 0.0000 
Validation time:
Validation loss:1.401, accuracy:0.605
ep/it:583-  10 niter:223300  1146m 45s (- 1803m 35s) completed: 38%) loss_emb: 0.0000  loss: 1.2498  loss_TTT: 0.0323  acc: 0.6290  lr: 0.0000 
ep/it:583-  60 niter:223350  1147m 2s (- 1803m 22s) completed: 38%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0332  acc: 0.6302  lr: 0.0000 
ep/it:583- 110 niter:223400  1147m 19s (- 1803m 9s) completed: 38%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0316  acc: 0.6255  lr: 0.0000 
ep/it:583- 160 niter:223450  1147m 35s (- 1802m 55s) completed: 38%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0320  acc: 0.6242  lr: 0.0000 
ep/it:583- 210 niter:223500  1147m 52s (- 1802m 42s) completed: 38%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0326  acc: 0.6265  lr: 0.0000 
ep/it:583- 260 niter:223550  1148m 9s (- 1802m 28s) completed: 38%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0329  acc: 0.6301  lr: 0.0000 
ep/it:583- 310 niter:223600  1148m 25s (- 1802m 14s) completed: 38%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0330  acc: 0.6242  lr: 0.0000 
ep/it:583- 360 niter:223650  1148m 42s (- 1802m 2s) completed: 38%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0308  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.598
ep/it:584-  27 niter:223700  1149m 3s (- 1801m 54s) completed: 38%) loss_emb: 0.0000  loss: 1.2616  loss_TTT: 0.0331  acc: 0.6259  lr: 0.0000 
ep/it:584-  77 niter:223750  1149m 20s (- 1801m 41s) completed: 38%) loss_emb: 0.0000  loss: 1.2571  loss_TTT: 0.0323  acc: 0.6279  lr: 0.0000 
ep/it:584- 127 niter:223800  1149m 37s (- 1801m 28s) completed: 38%) loss_emb: 0.0000  loss: 1.2401  loss_TTT: 0.0324  acc: 0.6313  lr: 0.0000 
ep/it:584- 177 niter:223850  1149m 54s (- 1801m 15s) completed: 38%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0321  acc: 0.6278  lr: 0.0000 
ep/it:584- 227 niter:223900  1150m 10s (- 1801m 2s) completed: 38%) loss_emb: 0.0000  loss: 1.2414  loss_TTT: 0.0311  acc: 0.6320  lr: 0.0000 
ep/it:584- 277 niter:223950  1150m 27s (- 1800m 49s) completed: 38%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0311  acc: 0.6312  lr: 0.0000 
ep/it:584- 327 niter:224000  1150m 44s (- 1800m 36s) completed: 38%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0332  acc: 0.6279  lr: 0.0000 
ep/it:584- 377 niter:224050  1151m 1s (- 1800m 23s) completed: 38%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0313  acc: 0.6268  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.590
ep/it:585-  44 niter:224100  1151m 22s (- 1800m 16s) completed: 39%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0339  acc: 0.6268  lr: 0.0000 
ep/it:585-  94 niter:224150  1151m 39s (- 1800m 3s) completed: 39%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0344  acc: 0.6248  lr: 0.0000 
ep/it:585- 144 niter:224200  1151m 56s (- 1799m 50s) completed: 39%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0316  acc: 0.6244  lr: 0.0000 
ep/it:585- 194 niter:224250  1152m 12s (- 1799m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0329  acc: 0.6307  lr: 0.0000 
ep/it:585- 244 niter:224300  1152m 29s (- 1799m 23s) completed: 39%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0315  acc: 0.6285  lr: 0.0000 
ep/it:585- 294 niter:224350  1152m 46s (- 1799m 10s) completed: 39%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0309  acc: 0.6270  lr: 0.0000 
ep/it:585- 344 niter:224400  1153m 3s (- 1798m 57s) completed: 39%) loss_emb: 0.0000  loss: 1.2421  loss_TTT: 0.0316  acc: 0.6309  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.588
ep/it:586-  11 niter:224450  1153m 24s (- 1798m 50s) completed: 39%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0318  acc: 0.6300  lr: 0.0000 
ep/it:586-  61 niter:224500  1153m 41s (- 1798m 37s) completed: 39%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0321  acc: 0.6272  lr: 0.0000 
ep/it:586- 111 niter:224550  1153m 57s (- 1798m 23s) completed: 39%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0341  acc: 0.6190  lr: 0.0000 
ep/it:586- 161 niter:224600  1154m 15s (- 1798m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0298  acc: 0.6260  lr: 0.0000 
ep/it:586- 211 niter:224650  1154m 31s (- 1797m 57s) completed: 39%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0316  acc: 0.6295  lr: 0.0000 
ep/it:586- 261 niter:224700  1154m 48s (- 1797m 43s) completed: 39%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0322  acc: 0.6333  lr: 0.0000 
ep/it:586- 311 niter:224750  1155m 4s (- 1797m 30s) completed: 39%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0325  acc: 0.6282  lr: 0.0000 
ep/it:586- 361 niter:224800  1155m 21s (- 1797m 17s) completed: 39%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0331  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.597
ep/it:587-  28 niter:224850  1155m 41s (- 1797m 9s) completed: 39%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0319  acc: 0.6260  lr: 0.0000 
ep/it:587-  78 niter:224900  1155m 58s (- 1796m 55s) completed: 39%) loss_emb: 0.0000  loss: 1.2355  loss_TTT: 0.0310  acc: 0.6328  lr: 0.0000 
ep/it:587- 128 niter:224950  1156m 15s (- 1796m 42s) completed: 39%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0332  acc: 0.6267  lr: 0.0000 
ep/it:587- 178 niter:225000  1156m 31s (- 1796m 28s) completed: 39%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0326  acc: 0.6233  lr: 0.0000 
ep/it:587- 228 niter:225050  1156m 48s (- 1796m 15s) completed: 39%) loss_emb: 0.0000  loss: 1.2464  loss_TTT: 0.0317  acc: 0.6305  lr: 0.0000 
ep/it:587- 278 niter:225100  1157m 5s (- 1796m 1s) completed: 39%) loss_emb: 0.0000  loss: 1.2464  loss_TTT: 0.0321  acc: 0.6297  lr: 0.0000 
ep/it:587- 328 niter:225150  1157m 21s (- 1795m 47s) completed: 39%) loss_emb: 0.0000  loss: 1.2427  loss_TTT: 0.0320  acc: 0.6320  lr: 0.0000 
ep/it:587- 378 niter:225200  1157m 37s (- 1795m 33s) completed: 39%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0318  acc: 0.6276  lr: 0.0000 
Validation time:
Validation loss:1.419, accuracy:0.600
ep/it:588-  45 niter:225250  1157m 58s (- 1795m 26s) completed: 39%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0307  acc: 0.6249  lr: 0.0000 
ep/it:588-  95 niter:225300  1158m 14s (- 1795m 12s) completed: 39%) loss_emb: 0.0000  loss: 1.2669  loss_TTT: 0.0316  acc: 0.6243  lr: 0.0000 
ep/it:588- 145 niter:225350  1158m 31s (- 1794m 59s) completed: 39%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0332  acc: 0.6302  lr: 0.0000 
ep/it:588- 195 niter:225400  1158m 48s (- 1794m 45s) completed: 39%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0322  acc: 0.6295  lr: 0.0000 
ep/it:588- 245 niter:225450  1159m 4s (- 1794m 32s) completed: 39%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0314  acc: 0.6287  lr: 0.0000 
ep/it:588- 295 niter:225500  1159m 21s (- 1794m 18s) completed: 39%) loss_emb: 0.0000  loss: 1.2445  loss_TTT: 0.0325  acc: 0.6306  lr: 0.0000 
ep/it:588- 345 niter:225550  1159m 39s (- 1794m 6s) completed: 39%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0342  acc: 0.6218  lr: 0.0000 
Validation time:
Validation loss:1.394, accuracy:0.607
ep/it:589-  12 niter:225600  1159m 59s (- 1793m 59s) completed: 39%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0310  acc: 0.6267  lr: 0.0000 
ep/it:589-  62 niter:225650  1160m 16s (- 1793m 45s) completed: 39%) loss_emb: 0.0000  loss: 1.2316  loss_TTT: 0.0328  acc: 0.6335  lr: 0.0000 
ep/it:589- 112 niter:225700  1160m 33s (- 1793m 32s) completed: 39%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0339  acc: 0.6243  lr: 0.0000 
ep/it:589- 162 niter:225750  1160m 50s (- 1793m 19s) completed: 39%) loss_emb: 0.0000  loss: 1.3062  loss_TTT: 0.0314  acc: 0.6148  lr: 0.0000 
ep/it:589- 212 niter:225800  1161m 7s (- 1793m 5s) completed: 39%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0316  acc: 0.6276  lr: 0.0000 
ep/it:589- 262 niter:225850  1161m 24s (- 1792m 53s) completed: 39%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0317  acc: 0.6305  lr: 0.0000 
ep/it:589- 312 niter:225900  1161m 41s (- 1792m 39s) completed: 39%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0325  acc: 0.6250  lr: 0.0000 
ep/it:589- 362 niter:225950  1161m 57s (- 1792m 26s) completed: 39%) loss_emb: 0.0000  loss: 1.2306  loss_TTT: 0.0311  acc: 0.6341  lr: 0.0000 
Validation time:
Validation loss:1.419, accuracy:0.599

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.69it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.68it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.20it/s]
100%|██████████| 47/47 [00:06<00:00,  7.19it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5637223147787154 avg: 2.5637223147787154
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5306245642714202 avg: 2.547173439525068
--> 	 Eva. Repeat 22 :, FID. 0.1316, Diversity Real. 9.5816, Diversity. 9.5308, R_precision_real. [0.51757812 0.71191406 0.79882812], R_precision. [0.52539062 0.70996094 0.80175781], matching_score_real. 2.8663, matching_score_pred. 2.9981, skate_ratio. 0.0470, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5088 (traj_fail_50cm (Traj err)): 0.2617 (kps_fail_20cm): 0.3662 (kps_fail_50cm (Loc. err)): 0.1864 (kps_mean_err(m) (Avg. err)): 0.3471 
ep/it:590-  29 niter:226000  1162m 26s (- 1792m 31s) completed: 39%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0327  acc: 0.6285  lr: 0.0000 
ep/it:590-  79 niter:226050  1162m 43s (- 1792m 19s) completed: 39%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0334  acc: 0.6251  lr: 0.0000 
ep/it:590- 129 niter:226100  1163m 0s (- 1792m 5s) completed: 39%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0346  acc: 0.6253  lr: 0.0000 
ep/it:590- 179 niter:226150  1163m 17s (- 1791m 52s) completed: 39%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0326  acc: 0.6270  lr: 0.0000 
ep/it:590- 229 niter:226200  1163m 34s (- 1791m 39s) completed: 39%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0318  acc: 0.6287  lr: 0.0000 
ep/it:590- 279 niter:226250  1163m 50s (- 1791m 25s) completed: 39%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0308  acc: 0.6303  lr: 0.0000 
ep/it:590- 329 niter:226300  1164m 7s (- 1791m 12s) completed: 39%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0321  acc: 0.6265  lr: 0.0000 
ep/it:590- 379 niter:226350  1164m 24s (- 1790m 58s) completed: 39%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0321  acc: 0.6219  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.591
ep/it:591-  46 niter:226400  1164m 44s (- 1790m 50s) completed: 39%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0333  acc: 0.6295  lr: 0.0000 
ep/it:591-  96 niter:226450  1165m 0s (- 1790m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0324  acc: 0.6271  lr: 0.0000 
ep/it:591- 146 niter:226500  1165m 18s (- 1790m 23s) completed: 39%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0315  acc: 0.6263  lr: 0.0000 
ep/it:591- 196 niter:226550  1165m 35s (- 1790m 11s) completed: 39%) loss_emb: 0.0000  loss: 1.2320  loss_TTT: 0.0323  acc: 0.6340  lr: 0.0000 
ep/it:591- 246 niter:226600  1165m 52s (- 1789m 57s) completed: 39%) loss_emb: 0.0000  loss: 1.2386  loss_TTT: 0.0314  acc: 0.6323  lr: 0.0000 
ep/it:591- 296 niter:226650  1166m 9s (- 1789m 44s) completed: 39%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0318  acc: 0.6304  lr: 0.0000 
ep/it:591- 346 niter:226700  1166m 26s (- 1789m 32s) completed: 39%) loss_emb: 0.0000  loss: 1.2387  loss_TTT: 0.0320  acc: 0.6321  lr: 0.0000 
Validation time:
Validation loss:1.467, accuracy:0.588
ep/it:592-  13 niter:226750  1166m 46s (- 1789m 24s) completed: 39%) loss_emb: 0.0000  loss: 1.2702  loss_TTT: 0.0330  acc: 0.6240  lr: 0.0000 
ep/it:592-  63 niter:226800  1167m 3s (- 1789m 10s) completed: 39%) loss_emb: 0.0000  loss: 1.2342  loss_TTT: 0.0318  acc: 0.6335  lr: 0.0000 
ep/it:592- 113 niter:226850  1167m 20s (- 1788m 57s) completed: 39%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0325  acc: 0.6292  lr: 0.0000 
ep/it:592- 163 niter:226900  1167m 36s (- 1788m 43s) completed: 39%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0325  acc: 0.6290  lr: 0.0000 
ep/it:592- 213 niter:226950  1167m 53s (- 1788m 30s) completed: 39%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0329  acc: 0.6299  lr: 0.0000 
ep/it:592- 263 niter:227000  1168m 10s (- 1788m 17s) completed: 39%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0330  acc: 0.6284  lr: 0.0000 
ep/it:592- 313 niter:227050  1168m 27s (- 1788m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0326  acc: 0.6304  lr: 0.0000 
ep/it:592- 363 niter:227100  1168m 44s (- 1787m 51s) completed: 39%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0325  acc: 0.6283  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.591
ep/it:593-  30 niter:227150  1169m 5s (- 1787m 44s) completed: 39%) loss_emb: 0.0000  loss: 1.2310  loss_TTT: 0.0312  acc: 0.6332  lr: 0.0000 
ep/it:593-  80 niter:227200  1169m 22s (- 1787m 31s) completed: 39%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0319  acc: 0.6196  lr: 0.0000 
ep/it:593- 130 niter:227250  1169m 39s (- 1787m 17s) completed: 39%) loss_emb: 0.0000  loss: 1.2305  loss_TTT: 0.0317  acc: 0.6345  lr: 0.0000 
ep/it:593- 180 niter:227300  1169m 55s (- 1787m 3s) completed: 39%) loss_emb: 0.0000  loss: 1.2469  loss_TTT: 0.0321  acc: 0.6300  lr: 0.0000 
ep/it:593- 230 niter:227350  1170m 12s (- 1786m 50s) completed: 39%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0320  acc: 0.6298  lr: 0.0000 
ep/it:593- 280 niter:227400  1170m 28s (- 1786m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0317  acc: 0.6279  lr: 0.0000 
ep/it:593- 330 niter:227450  1170m 45s (- 1786m 22s) completed: 39%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0314  acc: 0.6309  lr: 0.0000 
ep/it:593- 380 niter:227500  1171m 1s (- 1786m 8s) completed: 39%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0323  acc: 0.6263  lr: 0.0000 
Validation time:
Validation loss:1.386, accuracy:0.608
ep/it:594-  47 niter:227550  1171m 22s (- 1786m 0s) completed: 39%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0315  acc: 0.6273  lr: 0.0000 
ep/it:594-  97 niter:227600  1171m 38s (- 1785m 46s) completed: 39%) loss_emb: 0.0000  loss: 1.2332  loss_TTT: 0.0330  acc: 0.6336  lr: 0.0000 
ep/it:594- 147 niter:227650  1171m 55s (- 1785m 33s) completed: 39%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0321  acc: 0.6261  lr: 0.0000 
ep/it:594- 197 niter:227700  1172m 11s (- 1785m 18s) completed: 39%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0330  acc: 0.6268  lr: 0.0000 
ep/it:594- 247 niter:227750  1172m 28s (- 1785m 6s) completed: 39%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0325  acc: 0.6255  lr: 0.0000 
ep/it:594- 297 niter:227800  1172m 45s (- 1784m 52s) completed: 39%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0325  acc: 0.6249  lr: 0.0000 
ep/it:594- 347 niter:227850  1173m 2s (- 1784m 38s) completed: 39%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0323  acc: 0.6246  lr: 0.0000 
Validation time:
Validation loss:1.397, accuracy:0.606
ep/it:595-  14 niter:227900  1173m 22s (- 1784m 31s) completed: 39%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0315  acc: 0.6311  lr: 0.0000 
ep/it:595-  64 niter:227950  1173m 38s (- 1784m 17s) completed: 39%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0328  acc: 0.6282  lr: 0.0000 
ep/it:595- 114 niter:228000  1173m 55s (- 1784m 3s) completed: 39%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0327  acc: 0.6255  lr: 0.0000 
ep/it:595- 164 niter:228050  1174m 12s (- 1783m 50s) completed: 39%) loss_emb: 0.0000  loss: 1.2336  loss_TTT: 0.0315  acc: 0.6342  lr: 0.0000 
ep/it:595- 214 niter:228100  1174m 29s (- 1783m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0318  acc: 0.6254  lr: 0.0000 
ep/it:595- 264 niter:228150  1174m 45s (- 1783m 23s) completed: 39%) loss_emb: 0.0000  loss: 1.2536  loss_TTT: 0.0326  acc: 0.6280  lr: 0.0000 
ep/it:595- 314 niter:228200  1175m 2s (- 1783m 9s) completed: 39%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0325  acc: 0.6261  lr: 0.0000 
ep/it:595- 364 niter:228250  1175m 19s (- 1782m 56s) completed: 39%) loss_emb: 0.0000  loss: 1.2375  loss_TTT: 0.0320  acc: 0.6322  lr: 0.0000 
Validation time:
Validation loss:1.401, accuracy:0.604
ep/it:596-  31 niter:228300  1175m 39s (- 1782m 48s) completed: 39%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0305  acc: 0.6296  lr: 0.0000 
ep/it:596-  81 niter:228350  1175m 56s (- 1782m 35s) completed: 39%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0321  acc: 0.6309  lr: 0.0000 
ep/it:596- 131 niter:228400  1176m 13s (- 1782m 21s) completed: 39%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0331  acc: 0.6289  lr: 0.0000 
ep/it:596- 181 niter:228450  1176m 30s (- 1782m 8s) completed: 39%) loss_emb: 0.0000  loss: 1.2219  loss_TTT: 0.0311  acc: 0.6378  lr: 0.0000 
ep/it:596- 231 niter:228500  1176m 47s (- 1781m 55s) completed: 39%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0328  acc: 0.6256  lr: 0.0000 
ep/it:596- 281 niter:228550  1177m 4s (- 1781m 42s) completed: 39%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0323  acc: 0.6264  lr: 0.0000 
ep/it:596- 331 niter:228600  1177m 21s (- 1781m 29s) completed: 39%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0328  acc: 0.6300  lr: 0.0000 
ep/it:596- 381 niter:228650  1177m 38s (- 1781m 16s) completed: 39%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0317  acc: 0.6302  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.592
ep/it:597-  48 niter:228700  1177m 59s (- 1781m 9s) completed: 39%) loss_emb: 0.0000  loss: 1.2489  loss_TTT: 0.0327  acc: 0.6298  lr: 0.0000 
ep/it:597-  98 niter:228750  1178m 16s (- 1780m 55s) completed: 39%) loss_emb: 0.0000  loss: 1.2279  loss_TTT: 0.0318  acc: 0.6350  lr: 0.0000 
ep/it:597- 148 niter:228800  1178m 32s (- 1780m 41s) completed: 39%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0344  acc: 0.6283  lr: 0.0000 
ep/it:597- 198 niter:228850  1178m 49s (- 1780m 28s) completed: 39%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0319  acc: 0.6245  lr: 0.0000 
ep/it:597- 248 niter:228900  1179m 6s (- 1780m 14s) completed: 39%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0320  acc: 0.6285  lr: 0.0000 
ep/it:597- 298 niter:228950  1179m 23s (- 1780m 1s) completed: 39%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0323  acc: 0.6336  lr: 0.0000 
ep/it:597- 348 niter:229000  1179m 39s (- 1779m 48s) completed: 39%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0317  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.604
ep/it:598-  15 niter:229050  1180m 0s (- 1779m 40s) completed: 39%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0310  acc: 0.6314  lr: 0.0000 
ep/it:598-  65 niter:229100  1180m 17s (- 1779m 26s) completed: 39%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0328  acc: 0.6315  lr: 0.0000 
ep/it:598- 115 niter:229150  1180m 33s (- 1779m 12s) completed: 39%) loss_emb: 0.0000  loss: 1.2495  loss_TTT: 0.0331  acc: 0.6308  lr: 0.0000 
ep/it:598- 165 niter:229200  1180m 50s (- 1778m 59s) completed: 39%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0325  acc: 0.6271  lr: 0.0000 
ep/it:598- 215 niter:229250  1181m 7s (- 1778m 46s) completed: 39%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0326  acc: 0.6262  lr: 0.0000 
ep/it:598- 265 niter:229300  1181m 23s (- 1778m 32s) completed: 39%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0296  acc: 0.6296  lr: 0.0000 
ep/it:598- 315 niter:229350  1181m 40s (- 1778m 18s) completed: 39%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0326  acc: 0.6295  lr: 0.0000 
ep/it:598- 365 niter:229400  1181m 56s (- 1778m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0324  acc: 0.6290  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593
ep/it:599-  32 niter:229450  1182m 17s (- 1777m 57s) completed: 39%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0316  acc: 0.6264  lr: 0.0000 
ep/it:599-  82 niter:229500  1182m 35s (- 1777m 44s) completed: 39%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0323  acc: 0.6269  lr: 0.0000 
ep/it:599- 132 niter:229550  1182m 51s (- 1777m 31s) completed: 39%) loss_emb: 0.0000  loss: 1.2622  loss_TTT: 0.0315  acc: 0.6262  lr: 0.0000 
ep/it:599- 182 niter:229600  1183m 8s (- 1777m 17s) completed: 39%) loss_emb: 0.0000  loss: 1.2367  loss_TTT: 0.0321  acc: 0.6335  lr: 0.0000 
ep/it:599- 232 niter:229650  1183m 25s (- 1777m 4s) completed: 39%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0318  acc: 0.6293  lr: 0.0000 
ep/it:599- 282 niter:229700  1183m 41s (- 1776m 49s) completed: 39%) loss_emb: 0.0000  loss: 1.2407  loss_TTT: 0.0326  acc: 0.6317  lr: 0.0000 
ep/it:599- 332 niter:229750  1183m 58s (- 1776m 36s) completed: 39%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0317  acc: 0.6198  lr: 0.0000 
ep/it:599- 382 niter:229800  1184m 15s (- 1776m 23s) completed: 40%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0318  acc: 0.6239  lr: 0.0000 
Validation time:
Validation loss:1.416, accuracy:0.600

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ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5526221371255815 avg: 2.5526221371255815
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5386557383462787 avg: 2.54563893773593
--> 	 Eva. Repeat 22 :, FID. 0.1139, Diversity Real. 9.8041, Diversity. 10.0484, R_precision_real. [0.51953125 0.70507812 0.80664062], R_precision. [0.53320312 0.71386719 0.80566406], matching_score_real. 2.9065, matching_score_pred. 2.9751, skate_ratio. 0.0452, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5049 (traj_fail_50cm (Traj err)): 0.2881 (kps_fail_20cm): 0.3645 (kps_fail_50cm (Loc. err)): 0.1922 (kps_mean_err(m) (Avg. err)): 0.3551 
ep/it:600-  49 niter:229850  1184m 45s (- 1776m 29s) completed: 40%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0329  acc: 0.6287  lr: 0.0000 
ep/it:600-  99 niter:229900  1185m 1s (- 1776m 15s) completed: 40%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0339  acc: 0.6290  lr: 0.0000 
ep/it:600- 149 niter:229950  1185m 18s (- 1776m 1s) completed: 40%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0309  acc: 0.6289  lr: 0.0000 
ep/it:600- 199 niter:230000  1185m 34s (- 1775m 47s) completed: 40%) loss_emb: 0.0000  loss: 1.2287  loss_TTT: 0.0323  acc: 0.6345  lr: 0.0000 
ep/it:600- 249 niter:230050  1185m 51s (- 1775m 34s) completed: 40%) loss_emb: 0.0000  loss: 1.2796  loss_TTT: 0.0331  acc: 0.6206  lr: 0.0000 
ep/it:600- 299 niter:230100  1186m 8s (- 1775m 21s) completed: 40%) loss_emb: 0.0000  loss: 1.2323  loss_TTT: 0.0306  acc: 0.6327  lr: 0.0000 
ep/it:600- 349 niter:230150  1186m 25s (- 1775m 6s) completed: 40%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0317  acc: 0.6229  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.594
ep/it:601-  16 niter:230200  1186m 45s (- 1774m 58s) completed: 40%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0323  acc: 0.6290  lr: 0.0000 
ep/it:601-  66 niter:230250  1187m 1s (- 1774m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0319  acc: 0.6309  lr: 0.0000 
ep/it:601- 116 niter:230300  1187m 18s (- 1774m 30s) completed: 40%) loss_emb: 0.0000  loss: 1.2078  loss_TTT: 0.0333  acc: 0.6412  lr: 0.0000 
ep/it:601- 166 niter:230350  1187m 34s (- 1774m 16s) completed: 40%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0313  acc: 0.6316  lr: 0.0000 
ep/it:601- 216 niter:230400  1187m 51s (- 1774m 3s) completed: 40%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0334  acc: 0.6277  lr: 0.0000 
ep/it:601- 266 niter:230450  1188m 8s (- 1773m 50s) completed: 40%) loss_emb: 0.0000  loss: 1.2469  loss_TTT: 0.0322  acc: 0.6297  lr: 0.0000 
ep/it:601- 316 niter:230500  1188m 24s (- 1773m 35s) completed: 40%) loss_emb: 0.0000  loss: 1.2456  loss_TTT: 0.0309  acc: 0.6295  lr: 0.0000 
ep/it:601- 366 niter:230550  1188m 42s (- 1773m 23s) completed: 40%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0318  acc: 0.6315  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.600
ep/it:602-  33 niter:230600  1189m 3s (- 1773m 15s) completed: 40%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0313  acc: 0.6314  lr: 0.0000 
ep/it:602-  83 niter:230650  1189m 19s (- 1773m 1s) completed: 40%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0315  acc: 0.6317  lr: 0.0000 
ep/it:602- 133 niter:230700  1189m 35s (- 1772m 47s) completed: 40%) loss_emb: 0.0000  loss: 1.2424  loss_TTT: 0.0318  acc: 0.6304  lr: 0.0000 
ep/it:602- 183 niter:230750  1189m 52s (- 1772m 34s) completed: 40%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0331  acc: 0.6250  lr: 0.0000 
ep/it:602- 233 niter:230800  1190m 9s (- 1772m 20s) completed: 40%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0314  acc: 0.6336  lr: 0.0000 
ep/it:602- 283 niter:230850  1190m 25s (- 1772m 6s) completed: 40%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0316  acc: 0.6216  lr: 0.0000 
ep/it:602- 333 niter:230900  1190m 42s (- 1771m 52s) completed: 40%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0317  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.599
ep/it:603-   0 niter:230950  1191m 2s (- 1771m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0328  acc: 0.6265  lr: 0.0000 
ep/it:603-  50 niter:231000  1191m 19s (- 1771m 30s) completed: 40%) loss_emb: 0.0000  loss: 1.2307  loss_TTT: 0.0320  acc: 0.6339  lr: 0.0000 
ep/it:603- 100 niter:231050  1191m 36s (- 1771m 17s) completed: 40%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0314  acc: 0.6312  lr: 0.0000 
ep/it:603- 150 niter:231100  1191m 52s (- 1771m 3s) completed: 40%) loss_emb: 0.0000  loss: 1.2400  loss_TTT: 0.0323  acc: 0.6311  lr: 0.0000 
ep/it:603- 200 niter:231150  1192m 8s (- 1770m 48s) completed: 40%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0321  acc: 0.6320  lr: 0.0000 
ep/it:603- 250 niter:231200  1192m 25s (- 1770m 34s) completed: 40%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0308  acc: 0.6288  lr: 0.0000 
ep/it:603- 300 niter:231250  1192m 42s (- 1770m 21s) completed: 40%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0319  acc: 0.6263  lr: 0.0000 
ep/it:603- 350 niter:231300  1192m 58s (- 1770m 7s) completed: 40%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0339  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.601
ep/it:604-  17 niter:231350  1193m 18s (- 1769m 58s) completed: 40%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0323  acc: 0.6298  lr: 0.0000 
ep/it:604-  67 niter:231400  1193m 35s (- 1769m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.2411  loss_TTT: 0.0320  acc: 0.6300  lr: 0.0000 
ep/it:604- 117 niter:231450  1193m 51s (- 1769m 30s) completed: 40%) loss_emb: 0.0000  loss: 1.2286  loss_TTT: 0.0322  acc: 0.6360  lr: 0.0000 
ep/it:604- 167 niter:231500  1194m 8s (- 1769m 17s) completed: 40%) loss_emb: 0.0000  loss: 1.2511  loss_TTT: 0.0311  acc: 0.6289  lr: 0.0000 
ep/it:604- 217 niter:231550  1194m 25s (- 1769m 3s) completed: 40%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0315  acc: 0.6295  lr: 0.0000 
ep/it:604- 267 niter:231600  1194m 41s (- 1768m 50s) completed: 40%) loss_emb: 0.0000  loss: 1.2568  loss_TTT: 0.0315  acc: 0.6268  lr: 0.0000 
ep/it:604- 317 niter:231650  1194m 59s (- 1768m 37s) completed: 40%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0320  acc: 0.6259  lr: 0.0000 
ep/it:604- 367 niter:231700  1195m 15s (- 1768m 23s) completed: 40%) loss_emb: 0.0000  loss: 1.2652  loss_TTT: 0.0313  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.598
ep/it:605-  34 niter:231750  1195m 36s (- 1768m 15s) completed: 40%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0322  acc: 0.6281  lr: 0.0000 
ep/it:605-  84 niter:231800  1195m 53s (- 1768m 2s) completed: 40%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0324  acc: 0.6314  lr: 0.0000 
ep/it:605- 134 niter:231850  1196m 10s (- 1767m 48s) completed: 40%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0315  acc: 0.6276  lr: 0.0000 
ep/it:605- 184 niter:231900  1196m 26s (- 1767m 34s) completed: 40%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0309  acc: 0.6295  lr: 0.0000 
ep/it:605- 234 niter:231950  1196m 43s (- 1767m 21s) completed: 40%) loss_emb: 0.0000  loss: 1.2360  loss_TTT: 0.0318  acc: 0.6325  lr: 0.0000 
ep/it:605- 284 niter:232000  1197m 0s (- 1767m 7s) completed: 40%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0310  acc: 0.6291  lr: 0.0000 
ep/it:605- 334 niter:232050  1197m 17s (- 1766m 54s) completed: 40%) loss_emb: 0.0000  loss: 1.2545  loss_TTT: 0.0342  acc: 0.6290  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.599
ep/it:606-   1 niter:232100  1197m 38s (- 1766m 46s) completed: 40%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0322  acc: 0.6273  lr: 0.0000 
ep/it:606-  51 niter:232150  1197m 55s (- 1766m 33s) completed: 40%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0323  acc: 0.6299  lr: 0.0000 
ep/it:606- 101 niter:232200  1198m 11s (- 1766m 19s) completed: 40%) loss_emb: 0.0000  loss: 1.2598  loss_TTT: 0.0323  acc: 0.6260  lr: 0.0000 
ep/it:606- 151 niter:232250  1198m 28s (- 1766m 6s) completed: 40%) loss_emb: 0.0000  loss: 1.2386  loss_TTT: 0.0326  acc: 0.6318  lr: 0.0000 
ep/it:606- 201 niter:232300  1198m 45s (- 1765m 52s) completed: 40%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0316  acc: 0.6308  lr: 0.0000 
ep/it:606- 251 niter:232350  1199m 1s (- 1765m 38s) completed: 40%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0323  acc: 0.6262  lr: 0.0000 
ep/it:606- 301 niter:232400  1199m 18s (- 1765m 25s) completed: 40%) loss_emb: 0.0000  loss: 1.2259  loss_TTT: 0.0305  acc: 0.6360  lr: 0.0000 
ep/it:606- 351 niter:232450  1199m 35s (- 1765m 11s) completed: 40%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0326  acc: 0.6265  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.598
ep/it:607-  18 niter:232500  1199m 55s (- 1765m 3s) completed: 40%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0323  acc: 0.6279  lr: 0.0000 
ep/it:607-  68 niter:232550  1200m 12s (- 1764m 50s) completed: 40%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0330  acc: 0.6292  lr: 0.0000 
ep/it:607- 118 niter:232600  1200m 29s (- 1764m 36s) completed: 40%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0317  acc: 0.6318  lr: 0.0000 
ep/it:607- 168 niter:232650  1200m 46s (- 1764m 23s) completed: 40%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0321  acc: 0.6301  lr: 0.0000 
ep/it:607- 218 niter:232700  1201m 3s (- 1764m 10s) completed: 40%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0341  acc: 0.6278  lr: 0.0000 
ep/it:607- 268 niter:232750  1201m 20s (- 1763m 56s) completed: 40%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0321  acc: 0.6220  lr: 0.0000 
ep/it:607- 318 niter:232800  1201m 37s (- 1763m 42s) completed: 40%) loss_emb: 0.0000  loss: 1.3035  loss_TTT: 0.0333  acc: 0.6138  lr: 0.0000 
ep/it:607- 368 niter:232850  1201m 53s (- 1763m 28s) completed: 40%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0314  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.599
ep/it:608-  35 niter:232900  1202m 13s (- 1763m 20s) completed: 40%) loss_emb: 0.0000  loss: 1.2302  loss_TTT: 0.0321  acc: 0.6342  lr: 0.0000 
ep/it:608-  85 niter:232950  1202m 30s (- 1763m 6s) completed: 40%) loss_emb: 0.0000  loss: 1.2330  loss_TTT: 0.0315  acc: 0.6347  lr: 0.0000 
ep/it:608- 135 niter:233000  1202m 47s (- 1762m 52s) completed: 40%) loss_emb: 0.0000  loss: 1.2539  loss_TTT: 0.0313  acc: 0.6282  lr: 0.0000 
ep/it:608- 185 niter:233050  1203m 4s (- 1762m 40s) completed: 40%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0316  acc: 0.6320  lr: 0.0000 
ep/it:608- 235 niter:233100  1203m 21s (- 1762m 26s) completed: 40%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0310  acc: 0.6261  lr: 0.0000 
ep/it:608- 285 niter:233150  1203m 38s (- 1762m 13s) completed: 40%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0317  acc: 0.6250  lr: 0.0000 
ep/it:608- 335 niter:233200  1203m 55s (- 1761m 59s) completed: 40%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0323  acc: 0.6303  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.595
ep/it:609-   2 niter:233250  1204m 16s (- 1761m 52s) completed: 40%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0317  acc: 0.6304  lr: 0.0000 
ep/it:609-  52 niter:233300  1204m 32s (- 1761m 37s) completed: 40%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0329  acc: 0.6238  lr: 0.0000 
ep/it:609- 102 niter:233350  1204m 49s (- 1761m 24s) completed: 40%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0322  acc: 0.6275  lr: 0.0000 
ep/it:609- 152 niter:233400  1205m 6s (- 1761m 11s) completed: 40%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0321  acc: 0.6214  lr: 0.0000 
ep/it:609- 202 niter:233450  1205m 23s (- 1760m 57s) completed: 40%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0317  acc: 0.6304  lr: 0.0000 
ep/it:609- 252 niter:233500  1205m 40s (- 1760m 44s) completed: 40%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0327  acc: 0.6248  lr: 0.0000 
ep/it:609- 302 niter:233550  1205m 57s (- 1760m 32s) completed: 40%) loss_emb: 0.0000  loss: 1.2545  loss_TTT: 0.0321  acc: 0.6267  lr: 0.0000 
ep/it:609- 352 niter:233600  1206m 14s (- 1760m 18s) completed: 40%) loss_emb: 0.0000  loss: 1.2179  loss_TTT: 0.0308  acc: 0.6376  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.597

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  2%|▏         | 1/47 [00:00<00:19,  2.35it/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,  6.91it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5573091646656394 avg: 2.5573091646656394
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5302496408112347 avg: 2.543779402738437
--> 	 Eva. Repeat 22 :, FID. 0.1648, Diversity Real. 9.4737, Diversity. 9.8345, R_precision_real. [0.5234375  0.69433594 0.80371094], R_precision. [0.50683594 0.70410156 0.8125    ], matching_score_real. 2.8769, matching_score_pred. 2.9420, skate_ratio. 0.0471, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4961 (traj_fail_50cm (Traj err)): 0.2725 (kps_fail_20cm): 0.3446 (kps_fail_50cm (Loc. err)): 0.1787 (kps_mean_err(m) (Avg. err)): 0.3476 
ep/it:610-  19 niter:233650  1206m 43s (- 1760m 22s) completed: 40%) loss_emb: 0.0000  loss: 1.2308  loss_TTT: 0.0328  acc: 0.6343  lr: 0.0000 
ep/it:610-  69 niter:233700  1206m 59s (- 1760m 8s) completed: 40%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0314  acc: 0.6316  lr: 0.0000 
ep/it:610- 119 niter:233750  1207m 16s (- 1759m 54s) completed: 40%) loss_emb: 0.0000  loss: 1.2407  loss_TTT: 0.0324  acc: 0.6318  lr: 0.0000 
ep/it:610- 169 niter:233800  1207m 32s (- 1759m 40s) completed: 40%) loss_emb: 0.0000  loss: 1.2218  loss_TTT: 0.0325  acc: 0.6372  lr: 0.0000 
ep/it:610- 219 niter:233850  1207m 49s (- 1759m 26s) completed: 40%) loss_emb: 0.0000  loss: 1.2459  loss_TTT: 0.0324  acc: 0.6311  lr: 0.0000 
ep/it:610- 269 niter:233900  1208m 6s (- 1759m 13s) completed: 40%) loss_emb: 0.0000  loss: 1.2453  loss_TTT: 0.0312  acc: 0.6305  lr: 0.0000 
ep/it:610- 319 niter:233950  1208m 23s (- 1758m 59s) completed: 40%) loss_emb: 0.0000  loss: 1.2370  loss_TTT: 0.0324  acc: 0.6331  lr: 0.0000 
ep/it:610- 369 niter:234000  1208m 39s (- 1758m 45s) completed: 40%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0326  acc: 0.6226  lr: 0.0000 
Validation time:
Validation loss:1.482, accuracy:0.585
ep/it:611-  36 niter:234050  1209m 0s (- 1758m 38s) completed: 40%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0326  acc: 0.6272  lr: 0.0000 
ep/it:611-  86 niter:234100  1209m 17s (- 1758m 24s) completed: 40%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0306  acc: 0.6317  lr: 0.0000 
ep/it:611- 136 niter:234150  1209m 35s (- 1758m 11s) completed: 40%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0311  acc: 0.6287  lr: 0.0000 
ep/it:611- 186 niter:234200  1209m 51s (- 1757m 58s) completed: 40%) loss_emb: 0.0000  loss: 1.2147  loss_TTT: 0.0326  acc: 0.6390  lr: 0.0000 
ep/it:611- 236 niter:234250  1210m 9s (- 1757m 45s) completed: 40%) loss_emb: 0.0000  loss: 1.2415  loss_TTT: 0.0317  acc: 0.6327  lr: 0.0000 
ep/it:611- 286 niter:234300  1210m 26s (- 1757m 32s) completed: 40%) loss_emb: 0.0000  loss: 1.2516  loss_TTT: 0.0323  acc: 0.6279  lr: 0.0000 
ep/it:611- 336 niter:234350  1210m 44s (- 1757m 20s) completed: 40%) loss_emb: 0.0000  loss: 1.2246  loss_TTT: 0.0323  acc: 0.6367  lr: 0.0000 
Validation time:
Validation loss:1.412, accuracy:0.601
ep/it:612-   3 niter:234400  1211m 4s (- 1757m 11s) completed: 40%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0336  acc: 0.6287  lr: 0.0000 
ep/it:612-  53 niter:234450  1211m 20s (- 1756m 57s) completed: 40%) loss_emb: 0.0000  loss: 1.2403  loss_TTT: 0.0304  acc: 0.6307  lr: 0.0000 
ep/it:612- 103 niter:234500  1211m 37s (- 1756m 43s) completed: 40%) loss_emb: 0.0000  loss: 1.2539  loss_TTT: 0.0336  acc: 0.6292  lr: 0.0000 
ep/it:612- 153 niter:234550  1211m 54s (- 1756m 30s) completed: 40%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0322  acc: 0.6333  lr: 0.0000 
ep/it:612- 203 niter:234600  1212m 11s (- 1756m 16s) completed: 40%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0319  acc: 0.6272  lr: 0.0000 
ep/it:612- 253 niter:234650  1212m 28s (- 1756m 3s) completed: 40%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0327  acc: 0.6305  lr: 0.0000 
ep/it:612- 303 niter:234700  1212m 44s (- 1755m 48s) completed: 40%) loss_emb: 0.0000  loss: 1.2621  loss_TTT: 0.0322  acc: 0.6259  lr: 0.0000 
ep/it:612- 353 niter:234750  1213m 1s (- 1755m 35s) completed: 40%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0314  acc: 0.6261  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.604
ep/it:613-  20 niter:234800  1213m 21s (- 1755m 27s) completed: 40%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0337  acc: 0.6336  lr: 0.0000 
ep/it:613-  70 niter:234850  1213m 38s (- 1755m 13s) completed: 40%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0325  acc: 0.6276  lr: 0.0000 
ep/it:613- 120 niter:234900  1213m 55s (- 1754m 59s) completed: 40%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0315  acc: 0.6294  lr: 0.0000 
ep/it:613- 170 niter:234950  1214m 12s (- 1754m 46s) completed: 40%) loss_emb: 0.0000  loss: 1.2384  loss_TTT: 0.0322  acc: 0.6320  lr: 0.0000 
ep/it:613- 220 niter:235000  1214m 28s (- 1754m 32s) completed: 40%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0310  acc: 0.6309  lr: 0.0000 
ep/it:613- 270 niter:235050  1214m 46s (- 1754m 19s) completed: 40%) loss_emb: 0.0000  loss: 1.2300  loss_TTT: 0.0313  acc: 0.6347  lr: 0.0000 
ep/it:613- 320 niter:235100  1215m 3s (- 1754m 5s) completed: 40%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0331  acc: 0.6302  lr: 0.0000 
ep/it:613- 370 niter:235150  1215m 19s (- 1753m 51s) completed: 40%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0319  acc: 0.6319  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.598
ep/it:614-  37 niter:235200  1215m 40s (- 1753m 43s) completed: 40%) loss_emb: 0.0000  loss: 1.2234  loss_TTT: 0.0304  acc: 0.6366  lr: 0.0000 
ep/it:614-  87 niter:235250  1215m 57s (- 1753m 30s) completed: 40%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0319  acc: 0.6298  lr: 0.0000 
ep/it:614- 137 niter:235300  1216m 13s (- 1753m 16s) completed: 40%) loss_emb: 0.0000  loss: 1.2340  loss_TTT: 0.0315  acc: 0.6330  lr: 0.0000 
ep/it:614- 187 niter:235350  1216m 30s (- 1753m 2s) completed: 40%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0330  acc: 0.6299  lr: 0.0000 
ep/it:614- 237 niter:235400  1216m 47s (- 1752m 48s) completed: 40%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0320  acc: 0.6343  lr: 0.0000 
ep/it:614- 287 niter:235450  1217m 3s (- 1752m 34s) completed: 40%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0311  acc: 0.6269  lr: 0.0000 
ep/it:614- 337 niter:235500  1217m 20s (- 1752m 20s) completed: 40%) loss_emb: 0.0000  loss: 1.2268  loss_TTT: 0.0315  acc: 0.6354  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.600
ep/it:615-   4 niter:235550  1217m 41s (- 1752m 13s) completed: 41%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0322  acc: 0.6315  lr: 0.0000 
ep/it:615-  54 niter:235600  1217m 57s (- 1751m 59s) completed: 41%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0313  acc: 0.6306  lr: 0.0000 
ep/it:615- 104 niter:235650  1218m 14s (- 1751m 45s) completed: 41%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0317  acc: 0.6302  lr: 0.0000 
ep/it:615- 154 niter:235700  1218m 31s (- 1751m 31s) completed: 41%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0322  acc: 0.6328  lr: 0.0000 
ep/it:615- 204 niter:235750  1218m 48s (- 1751m 18s) completed: 41%) loss_emb: 0.0000  loss: 1.2416  loss_TTT: 0.0325  acc: 0.6325  lr: 0.0000 
ep/it:615- 254 niter:235800  1219m 4s (- 1751m 3s) completed: 41%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0323  acc: 0.6287  lr: 0.0000 
ep/it:615- 304 niter:235850  1219m 21s (- 1750m 50s) completed: 41%) loss_emb: 0.0000  loss: 1.2238  loss_TTT: 0.0320  acc: 0.6358  lr: 0.0000 
ep/it:615- 354 niter:235900  1219m 38s (- 1750m 37s) completed: 41%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0323  acc: 0.6276  lr: 0.0000 
Validation time:
Validation loss:1.377, accuracy:0.610
ep/it:616-  21 niter:235950  1219m 59s (- 1750m 28s) completed: 41%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0323  acc: 0.6239  lr: 0.0000 
ep/it:616-  71 niter:236000  1220m 16s (- 1750m 15s) completed: 41%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0324  acc: 0.6299  lr: 0.0000 
ep/it:616- 121 niter:236050  1220m 33s (- 1750m 2s) completed: 41%) loss_emb: 0.0000  loss: 1.2251  loss_TTT: 0.0316  acc: 0.6363  lr: 0.0000 
ep/it:616- 171 niter:236100  1220m 50s (- 1749m 48s) completed: 41%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0317  acc: 0.6265  lr: 0.0000 
ep/it:616- 221 niter:236150  1221m 7s (- 1749m 35s) completed: 41%) loss_emb: 0.0000  loss: 1.2506  loss_TTT: 0.0332  acc: 0.6289  lr: 0.0000 
ep/it:616- 271 niter:236200  1221m 23s (- 1749m 21s) completed: 41%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0322  acc: 0.6291  lr: 0.0000 
ep/it:616- 321 niter:236250  1221m 40s (- 1749m 7s) completed: 41%) loss_emb: 0.0000  loss: 1.2199  loss_TTT: 0.0316  acc: 0.6361  lr: 0.0000 
ep/it:616- 371 niter:236300  1221m 57s (- 1748m 53s) completed: 41%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0322  acc: 0.6301  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.603
ep/it:617-  38 niter:236350  1222m 17s (- 1748m 45s) completed: 41%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0309  acc: 0.6178  lr: 0.0000 
ep/it:617-  88 niter:236400  1222m 34s (- 1748m 32s) completed: 41%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0324  acc: 0.6309  lr: 0.0000 
ep/it:617- 138 niter:236450  1222m 50s (- 1748m 17s) completed: 41%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0330  acc: 0.6325  lr: 0.0000 
ep/it:617- 188 niter:236500  1223m 7s (- 1748m 3s) completed: 41%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0327  acc: 0.6280  lr: 0.0000 
ep/it:617- 238 niter:236550  1223m 24s (- 1747m 50s) completed: 41%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0308  acc: 0.6232  lr: 0.0000 
ep/it:617- 288 niter:236600  1223m 41s (- 1747m 36s) completed: 41%) loss_emb: 0.0000  loss: 1.2377  loss_TTT: 0.0303  acc: 0.6327  lr: 0.0000 
ep/it:617- 338 niter:236650  1223m 58s (- 1747m 23s) completed: 41%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0328  acc: 0.6292  lr: 0.0000 
Validation time:
Validation loss:1.407, accuracy:0.607
ep/it:618-   5 niter:236700  1224m 19s (- 1747m 15s) completed: 41%) loss_emb: 0.0000  loss: 1.2767  loss_TTT: 0.0313  acc: 0.6218  lr: 0.0000 
ep/it:618-  55 niter:236750  1224m 35s (- 1747m 1s) completed: 41%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0326  acc: 0.6322  lr: 0.0000 
ep/it:618- 105 niter:236800  1224m 52s (- 1746m 48s) completed: 41%) loss_emb: 0.0000  loss: 1.2284  loss_TTT: 0.0296  acc: 0.6346  lr: 0.0000 
ep/it:618- 155 niter:236850  1225m 9s (- 1746m 34s) completed: 41%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0326  acc: 0.6287  lr: 0.0000 
ep/it:618- 205 niter:236900  1225m 26s (- 1746m 20s) completed: 41%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0320  acc: 0.6308  lr: 0.0000 
ep/it:618- 255 niter:236950  1225m 43s (- 1746m 6s) completed: 41%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0331  acc: 0.6307  lr: 0.0000 
ep/it:618- 305 niter:237000  1226m 0s (- 1745m 53s) completed: 41%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0313  acc: 0.6272  lr: 0.0000 
ep/it:618- 355 niter:237050  1226m 17s (- 1745m 39s) completed: 41%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0301  acc: 0.6265  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.593
ep/it:619-  22 niter:237100  1226m 37s (- 1745m 31s) completed: 41%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0311  acc: 0.6243  lr: 0.0000 
ep/it:619-  72 niter:237150  1226m 54s (- 1745m 17s) completed: 41%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0318  acc: 0.6306  lr: 0.0000 
ep/it:619- 122 niter:237200  1227m 10s (- 1745m 3s) completed: 41%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0311  acc: 0.6257  lr: 0.0000 
ep/it:619- 172 niter:237250  1227m 27s (- 1744m 49s) completed: 41%) loss_emb: 0.0000  loss: 1.2319  loss_TTT: 0.0316  acc: 0.6344  lr: 0.0000 
ep/it:619- 222 niter:237300  1227m 43s (- 1744m 35s) completed: 41%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0325  acc: 0.6299  lr: 0.0000 
ep/it:619- 272 niter:237350  1227m 59s (- 1744m 20s) completed: 41%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0306  acc: 0.6275  lr: 0.0000 
ep/it:619- 322 niter:237400  1228m 16s (- 1744m 6s) completed: 41%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0324  acc: 0.6313  lr: 0.0000 
ep/it:619- 372 niter:237450  1228m 33s (- 1743m 52s) completed: 41%) loss_emb: 0.0000  loss: 1.2513  loss_TTT: 0.0328  acc: 0.6282  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.63it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.71it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.05it/s]
100%|██████████| 47/47 [00:06<00:00,  7.05it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.529077687766403 avg: 2.529077687766403
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5489234579727054 avg: 2.539000572869554
--> 	 Eva. Repeat 22 :, FID. 0.1076, Diversity Real. 9.4838, Diversity. 9.3474, R_precision_real. [0.51855469 0.71386719 0.81054688], R_precision. [0.51757812 0.72265625 0.81640625], matching_score_real. 2.8478, matching_score_pred. 2.9465, skate_ratio. 0.0451, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4961 (traj_fail_50cm (Traj err)): 0.2861 (kps_fail_20cm): 0.3536 (kps_fail_50cm (Loc. err)): 0.1922 (kps_mean_err(m) (Avg. err)): 0.3622 
ep/it:620-  39 niter:237500  1229m 2s (- 1743m 57s) completed: 41%) loss_emb: 0.0000  loss: 1.2528  loss_TTT: 0.0325  acc: 0.6289  lr: 0.0000 
ep/it:620-  89 niter:237550  1229m 19s (- 1743m 43s) completed: 41%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0321  acc: 0.6308  lr: 0.0000 
ep/it:620- 139 niter:237600  1229m 35s (- 1743m 28s) completed: 41%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0317  acc: 0.6344  lr: 0.0000 
ep/it:620- 189 niter:237650  1229m 52s (- 1743m 14s) completed: 41%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0330  acc: 0.6329  lr: 0.0000 
ep/it:620- 239 niter:237700  1230m 8s (- 1742m 59s) completed: 41%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0329  acc: 0.6269  lr: 0.0000 
ep/it:620- 289 niter:237750  1230m 25s (- 1742m 46s) completed: 41%) loss_emb: 0.0000  loss: 1.2228  loss_TTT: 0.0308  acc: 0.6365  lr: 0.0000 
ep/it:620- 339 niter:237800  1230m 41s (- 1742m 31s) completed: 41%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0324  acc: 0.6321  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.598
ep/it:621-   6 niter:237850  1231m 1s (- 1742m 22s) completed: 41%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0320  acc: 0.6237  lr: 0.0000 
ep/it:621-  56 niter:237900  1231m 17s (- 1742m 8s) completed: 41%) loss_emb: 0.0000  loss: 1.2390  loss_TTT: 0.0314  acc: 0.6315  lr: 0.0000 
ep/it:621- 106 niter:237950  1231m 34s (- 1741m 54s) completed: 41%) loss_emb: 0.0000  loss: 1.2619  loss_TTT: 0.0312  acc: 0.6262  lr: 0.0000 
ep/it:621- 156 niter:238000  1231m 50s (- 1741m 40s) completed: 41%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0322  acc: 0.6273  lr: 0.0000 
ep/it:621- 206 niter:238050  1232m 8s (- 1741m 27s) completed: 41%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0323  acc: 0.6318  lr: 0.0000 
ep/it:621- 256 niter:238100  1232m 24s (- 1741m 12s) completed: 41%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0311  acc: 0.6265  lr: 0.0000 
ep/it:621- 306 niter:238150  1232m 40s (- 1740m 58s) completed: 41%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0315  acc: 0.6282  lr: 0.0000 
ep/it:621- 356 niter:238200  1232m 57s (- 1740m 44s) completed: 41%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0320  acc: 0.6330  lr: 0.0000 
Validation time:
Validation loss:1.384, accuracy:0.609
ep/it:622-  23 niter:238250  1233m 18s (- 1740m 36s) completed: 41%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0316  acc: 0.6329  lr: 0.0000 
ep/it:622-  73 niter:238300  1233m 34s (- 1740m 21s) completed: 41%) loss_emb: 0.0000  loss: 1.2366  loss_TTT: 0.0316  acc: 0.6334  lr: 0.0000 
ep/it:622- 123 niter:238350  1233m 51s (- 1740m 8s) completed: 41%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0313  acc: 0.6253  lr: 0.0000 
ep/it:622- 173 niter:238400  1234m 8s (- 1739m 54s) completed: 41%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0328  acc: 0.6332  lr: 0.0000 
ep/it:622- 223 niter:238450  1234m 24s (- 1739m 40s) completed: 41%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0317  acc: 0.6282  lr: 0.0000 
ep/it:622- 273 niter:238500  1234m 41s (- 1739m 26s) completed: 41%) loss_emb: 0.0000  loss: 1.2203  loss_TTT: 0.0311  acc: 0.6365  lr: 0.0000 
ep/it:622- 323 niter:238550  1234m 58s (- 1739m 13s) completed: 41%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0315  acc: 0.6302  lr: 0.0000 
ep/it:622- 373 niter:238600  1235m 15s (- 1739m 0s) completed: 41%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0320  acc: 0.6296  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.598
ep/it:623-  40 niter:238650  1235m 36s (- 1738m 51s) completed: 41%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0313  acc: 0.6326  lr: 0.0000 
ep/it:623-  90 niter:238700  1235m 54s (- 1738m 39s) completed: 41%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0321  acc: 0.6237  lr: 0.0000 
ep/it:623- 140 niter:238750  1236m 11s (- 1738m 25s) completed: 41%) loss_emb: 0.0000  loss: 1.2278  loss_TTT: 0.0316  acc: 0.6335  lr: 0.0000 
ep/it:623- 190 niter:238800  1236m 28s (- 1738m 12s) completed: 41%) loss_emb: 0.0000  loss: 1.2336  loss_TTT: 0.0323  acc: 0.6345  lr: 0.0000 
ep/it:623- 240 niter:238850  1236m 44s (- 1737m 58s) completed: 41%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0311  acc: 0.6237  lr: 0.0000 
ep/it:623- 290 niter:238900  1237m 1s (- 1737m 44s) completed: 41%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0331  acc: 0.6292  lr: 0.0000 
ep/it:623- 340 niter:238950  1237m 18s (- 1737m 30s) completed: 41%) loss_emb: 0.0000  loss: 1.2393  loss_TTT: 0.0312  acc: 0.6324  lr: 0.0000 
Validation time:
Validation loss:1.486, accuracy:0.583
ep/it:624-   7 niter:239000  1237m 38s (- 1737m 22s) completed: 41%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0320  acc: 0.6251  lr: 0.0000 
ep/it:624-  57 niter:239050  1237m 56s (- 1737m 9s) completed: 41%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0321  acc: 0.6302  lr: 0.0000 
ep/it:624- 107 niter:239100  1238m 13s (- 1736m 55s) completed: 41%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0313  acc: 0.6249  lr: 0.0000 
ep/it:624- 157 niter:239150  1238m 30s (- 1736m 42s) completed: 41%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0318  acc: 0.6245  lr: 0.0000 
ep/it:624- 207 niter:239200  1238m 47s (- 1736m 28s) completed: 41%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0323  acc: 0.6285  lr: 0.0000 
ep/it:624- 257 niter:239250  1239m 3s (- 1736m 14s) completed: 41%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0327  acc: 0.6291  lr: 0.0000 
ep/it:624- 307 niter:239300  1239m 21s (- 1736m 1s) completed: 41%) loss_emb: 0.0000  loss: 1.2495  loss_TTT: 0.0305  acc: 0.6293  lr: 0.0000 
ep/it:624- 357 niter:239350  1239m 38s (- 1735m 48s) completed: 41%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0333  acc: 0.6248  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.605
ep/it:625-  24 niter:239400  1239m 58s (- 1735m 38s) completed: 41%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0321  acc: 0.6307  lr: 0.0000 
ep/it:625-  74 niter:239450  1240m 15s (- 1735m 25s) completed: 41%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0315  acc: 0.6332  lr: 0.0000 
ep/it:625- 124 niter:239500  1240m 32s (- 1735m 11s) completed: 41%) loss_emb: 0.0000  loss: 1.2474  loss_TTT: 0.0324  acc: 0.6311  lr: 0.0000 
ep/it:625- 174 niter:239550  1240m 49s (- 1734m 58s) completed: 41%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0324  acc: 0.6269  lr: 0.0000 
ep/it:625- 224 niter:239600  1241m 5s (- 1734m 43s) completed: 41%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0316  acc: 0.6328  lr: 0.0000 
ep/it:625- 274 niter:239650  1241m 22s (- 1734m 29s) completed: 41%) loss_emb: 0.0000  loss: 1.2181  loss_TTT: 0.0308  acc: 0.6378  lr: 0.0000 
ep/it:625- 324 niter:239700  1241m 38s (- 1734m 15s) completed: 41%) loss_emb: 0.0000  loss: 1.2353  loss_TTT: 0.0336  acc: 0.6319  lr: 0.0000 
ep/it:625- 374 niter:239750  1241m 54s (- 1734m 0s) completed: 41%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0338  acc: 0.6279  lr: 0.0000 
Validation time:
Validation loss:1.391, accuracy:0.607
ep/it:626-  41 niter:239800  1242m 15s (- 1733m 52s) completed: 41%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0300  acc: 0.6294  lr: 0.0000 
ep/it:626-  91 niter:239850  1242m 31s (- 1733m 38s) completed: 41%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0324  acc: 0.6291  lr: 0.0000 
ep/it:626- 141 niter:239900  1242m 48s (- 1733m 24s) completed: 41%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0331  acc: 0.6298  lr: 0.0000 
ep/it:626- 191 niter:239950  1243m 5s (- 1733m 10s) completed: 41%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0320  acc: 0.6304  lr: 0.0000 
ep/it:626- 241 niter:240000  1243m 21s (- 1732m 56s) completed: 41%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0318  acc: 0.6266  lr: 0.0000 
ep/it:626- 291 niter:240050  1243m 38s (- 1732m 42s) completed: 41%) loss_emb: 0.0000  loss: 1.2504  loss_TTT: 0.0334  acc: 0.6284  lr: 0.0000 
ep/it:626- 341 niter:240100  1243m 55s (- 1732m 29s) completed: 41%) loss_emb: 0.0000  loss: 1.2319  loss_TTT: 0.0325  acc: 0.6346  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.594
ep/it:627-   8 niter:240150  1244m 16s (- 1732m 20s) completed: 41%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0302  acc: 0.6302  lr: 0.0000 
ep/it:627-  58 niter:240200  1244m 32s (- 1732m 5s) completed: 41%) loss_emb: 0.0000  loss: 1.2348  loss_TTT: 0.0319  acc: 0.6336  lr: 0.0000 
ep/it:627- 108 niter:240250  1244m 48s (- 1731m 51s) completed: 41%) loss_emb: 0.0000  loss: 1.2263  loss_TTT: 0.0323  acc: 0.6350  lr: 0.0000 
ep/it:627- 158 niter:240300  1245m 5s (- 1731m 37s) completed: 41%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0317  acc: 0.6233  lr: 0.0000 
ep/it:627- 208 niter:240350  1245m 21s (- 1731m 22s) completed: 41%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0310  acc: 0.6300  lr: 0.0000 
ep/it:627- 258 niter:240400  1245m 38s (- 1731m 9s) completed: 41%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0320  acc: 0.6280  lr: 0.0000 
ep/it:627- 308 niter:240450  1245m 54s (- 1730m 54s) completed: 41%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0312  acc: 0.6314  lr: 0.0000 
ep/it:627- 358 niter:240500  1246m 11s (- 1730m 40s) completed: 41%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0335  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.597
ep/it:628-  25 niter:240550  1246m 33s (- 1730m 33s) completed: 41%) loss_emb: 0.0000  loss: 1.2242  loss_TTT: 0.0303  acc: 0.6367  lr: 0.0000 
ep/it:628-  75 niter:240600  1246m 50s (- 1730m 20s) completed: 41%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0318  acc: 0.6267  lr: 0.0000 
ep/it:628- 125 niter:240650  1247m 7s (- 1730m 6s) completed: 41%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0322  acc: 0.6301  lr: 0.0000 
ep/it:628- 175 niter:240700  1247m 24s (- 1729m 52s) completed: 41%) loss_emb: 0.0000  loss: 1.2340  loss_TTT: 0.0325  acc: 0.6325  lr: 0.0000 
ep/it:628- 225 niter:240750  1247m 40s (- 1729m 38s) completed: 41%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0313  acc: 0.6271  lr: 0.0000 
ep/it:628- 275 niter:240800  1247m 56s (- 1729m 24s) completed: 41%) loss_emb: 0.0000  loss: 1.2459  loss_TTT: 0.0319  acc: 0.6314  lr: 0.0000 
ep/it:628- 325 niter:240850  1248m 12s (- 1729m 9s) completed: 41%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0306  acc: 0.6326  lr: 0.0000 
ep/it:628- 375 niter:240900  1248m 29s (- 1728m 55s) completed: 41%) loss_emb: 0.0000  loss: 1.2187  loss_TTT: 0.0330  acc: 0.6379  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.603
ep/it:629-  42 niter:240950  1248m 49s (- 1728m 46s) completed: 41%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0318  acc: 0.6311  lr: 0.0000 
ep/it:629-  92 niter:241000  1249m 5s (- 1728m 30s) completed: 41%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0322  acc: 0.6254  lr: 0.0000 
ep/it:629- 142 niter:241050  1249m 22s (- 1728m 16s) completed: 41%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0312  acc: 0.6378  lr: 0.0000 
ep/it:629- 192 niter:241100  1249m 38s (- 1728m 2s) completed: 41%) loss_emb: 0.0000  loss: 1.2276  loss_TTT: 0.0315  acc: 0.6339  lr: 0.0000 
ep/it:629- 242 niter:241150  1249m 55s (- 1727m 48s) completed: 41%) loss_emb: 0.0000  loss: 1.2338  loss_TTT: 0.0306  acc: 0.6331  lr: 0.0000 
ep/it:629- 292 niter:241200  1250m 11s (- 1727m 33s) completed: 41%) loss_emb: 0.0000  loss: 1.2527  loss_TTT: 0.0317  acc: 0.6292  lr: 0.0000 
ep/it:629- 342 niter:241250  1250m 27s (- 1727m 19s) completed: 41%) loss_emb: 0.0000  loss: 1.2415  loss_TTT: 0.0322  acc: 0.6301  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.596

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.68it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.69it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.97it/s]
100%|██████████| 47/47 [00:06<00:00,  6.95it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5485734110698104 avg: 2.5485734110698104
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5482766372151673 avg: 2.548425024142489
--> 	 Eva. Repeat 22 :, FID. 0.1252, Diversity Real. 9.2314, Diversity. 9.8865, R_precision_real. [0.51660156 0.71582031 0.81152344], R_precision. [0.51367188 0.71484375 0.81347656], matching_score_real. 2.8666, matching_score_pred. 2.9192, skate_ratio. 0.0478, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5068 (traj_fail_50cm (Traj err)): 0.2881 (kps_fail_20cm): 0.3611 (kps_fail_50cm (Loc. err)): 0.1846 (kps_mean_err(m) (Avg. err)): 0.3425 
ep/it:630-   9 niter:241300  1250m 56s (- 1727m 21s) completed: 42%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0325  acc: 0.6309  lr: 0.0000 
ep/it:630-  59 niter:241350  1251m 12s (- 1727m 7s) completed: 42%) loss_emb: 0.0000  loss: 1.2478  loss_TTT: 0.0322  acc: 0.6301  lr: 0.0000 
ep/it:630- 109 niter:241400  1251m 29s (- 1726m 53s) completed: 42%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0313  acc: 0.6264  lr: 0.0000 
ep/it:630- 159 niter:241450  1251m 45s (- 1726m 39s) completed: 42%) loss_emb: 0.0000  loss: 1.2238  loss_TTT: 0.0309  acc: 0.6357  lr: 0.0000 
ep/it:630- 209 niter:241500  1252m 2s (- 1726m 24s) completed: 42%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0305  acc: 0.6299  lr: 0.0000 
ep/it:630- 259 niter:241550  1252m 19s (- 1726m 11s) completed: 42%) loss_emb: 0.0000  loss: 1.2322  loss_TTT: 0.0321  acc: 0.6334  lr: 0.0000 
ep/it:630- 309 niter:241600  1252m 36s (- 1725m 57s) completed: 42%) loss_emb: 0.0000  loss: 1.2432  loss_TTT: 0.0325  acc: 0.6308  lr: 0.0000 
ep/it:630- 359 niter:241650  1252m 52s (- 1725m 43s) completed: 42%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0327  acc: 0.6244  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.604
ep/it:631-  26 niter:241700  1253m 13s (- 1725m 34s) completed: 42%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0318  acc: 0.6307  lr: 0.0000 
ep/it:631-  76 niter:241750  1253m 29s (- 1725m 20s) completed: 42%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0309  acc: 0.6244  lr: 0.0000 
ep/it:631- 126 niter:241800  1253m 46s (- 1725m 6s) completed: 42%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0309  acc: 0.6328  lr: 0.0000 
ep/it:631- 176 niter:241850  1254m 3s (- 1724m 52s) completed: 42%) loss_emb: 0.0000  loss: 1.2328  loss_TTT: 0.0323  acc: 0.6320  lr: 0.0000 
ep/it:631- 226 niter:241900  1254m 19s (- 1724m 37s) completed: 42%) loss_emb: 0.0000  loss: 1.2516  loss_TTT: 0.0312  acc: 0.6284  lr: 0.0000 
ep/it:631- 276 niter:241950  1254m 35s (- 1724m 23s) completed: 42%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0329  acc: 0.6237  lr: 0.0000 
ep/it:631- 326 niter:242000  1254m 51s (- 1724m 8s) completed: 42%) loss_emb: 0.0000  loss: 1.2462  loss_TTT: 0.0322  acc: 0.6312  lr: 0.0000 
ep/it:631- 376 niter:242050  1255m 8s (- 1723m 54s) completed: 42%) loss_emb: 0.0000  loss: 1.2396  loss_TTT: 0.0311  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.590
ep/it:632-  43 niter:242100  1255m 29s (- 1723m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.2248  loss_TTT: 0.0319  acc: 0.6365  lr: 0.0000 
ep/it:632-  93 niter:242150  1255m 46s (- 1723m 32s) completed: 42%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0321  acc: 0.6298  lr: 0.0000 
ep/it:632- 143 niter:242200  1256m 3s (- 1723m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.2408  loss_TTT: 0.0316  acc: 0.6320  lr: 0.0000 
ep/it:632- 193 niter:242250  1256m 19s (- 1723m 4s) completed: 42%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0329  acc: 0.6181  lr: 0.0000 
ep/it:632- 243 niter:242300  1256m 36s (- 1722m 50s) completed: 42%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0318  acc: 0.6297  lr: 0.0000 
ep/it:632- 293 niter:242350  1256m 53s (- 1722m 36s) completed: 42%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0328  acc: 0.6269  lr: 0.0000 
ep/it:632- 343 niter:242400  1257m 9s (- 1722m 21s) completed: 42%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0314  acc: 0.6320  lr: 0.0000 
Validation time:
Validation loss:1.469, accuracy:0.589
ep/it:633-  10 niter:242450  1257m 29s (- 1722m 12s) completed: 42%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0325  acc: 0.6296  lr: 0.0000 
ep/it:633-  60 niter:242500  1257m 46s (- 1721m 58s) completed: 42%) loss_emb: 0.0000  loss: 1.2509  loss_TTT: 0.0320  acc: 0.6282  lr: 0.0000 
ep/it:633- 110 niter:242550  1258m 3s (- 1721m 45s) completed: 42%) loss_emb: 0.0000  loss: 1.2386  loss_TTT: 0.0321  acc: 0.6325  lr: 0.0000 
ep/it:633- 160 niter:242600  1258m 20s (- 1721m 32s) completed: 42%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0328  acc: 0.6312  lr: 0.0000 
ep/it:633- 210 niter:242650  1258m 37s (- 1721m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.2220  loss_TTT: 0.0306  acc: 0.6373  lr: 0.0000 
ep/it:633- 260 niter:242700  1258m 54s (- 1721m 4s) completed: 42%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0316  acc: 0.6353  lr: 0.0000 
ep/it:633- 310 niter:242750  1259m 11s (- 1720m 51s) completed: 42%) loss_emb: 0.0000  loss: 1.2432  loss_TTT: 0.0326  acc: 0.6311  lr: 0.0000 
ep/it:633- 360 niter:242800  1259m 28s (- 1720m 36s) completed: 42%) loss_emb: 0.0000  loss: 1.2407  loss_TTT: 0.0326  acc: 0.6320  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.591
ep/it:634-  27 niter:242850  1259m 48s (- 1720m 27s) completed: 42%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0324  acc: 0.6236  lr: 0.0000 
ep/it:634-  77 niter:242900  1260m 4s (- 1720m 13s) completed: 42%) loss_emb: 0.0000  loss: 1.2352  loss_TTT: 0.0325  acc: 0.6327  lr: 0.0000 
ep/it:634- 127 niter:242950  1260m 21s (- 1719m 59s) completed: 42%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0324  acc: 0.6281  lr: 0.0000 
ep/it:634- 177 niter:243000  1260m 37s (- 1719m 44s) completed: 42%) loss_emb: 0.0000  loss: 1.2234  loss_TTT: 0.0315  acc: 0.6361  lr: 0.0000 
ep/it:634- 227 niter:243050  1260m 53s (- 1719m 30s) completed: 42%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0311  acc: 0.6278  lr: 0.0000 
ep/it:634- 277 niter:243100  1261m 10s (- 1719m 15s) completed: 42%) loss_emb: 0.0000  loss: 1.2779  loss_TTT: 0.0312  acc: 0.6219  lr: 0.0000 
ep/it:634- 327 niter:243150  1261m 26s (- 1719m 1s) completed: 42%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0313  acc: 0.6295  lr: 0.0000 
ep/it:634- 377 niter:243200  1261m 43s (- 1718m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.2337  loss_TTT: 0.0326  acc: 0.6340  lr: 0.0000 
Validation time:
Validation loss:1.473, accuracy:0.586
ep/it:635-  44 niter:243250  1262m 4s (- 1718m 38s) completed: 42%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0317  acc: 0.6212  lr: 0.0000 
ep/it:635-  94 niter:243300  1262m 20s (- 1718m 23s) completed: 42%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0316  acc: 0.6276  lr: 0.0000 
ep/it:635- 144 niter:243350  1262m 36s (- 1718m 9s) completed: 42%) loss_emb: 0.0000  loss: 1.2248  loss_TTT: 0.0327  acc: 0.6370  lr: 0.0000 
ep/it:635- 194 niter:243400  1262m 53s (- 1717m 55s) completed: 42%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0320  acc: 0.6298  lr: 0.0000 
ep/it:635- 244 niter:243450  1263m 10s (- 1717m 42s) completed: 42%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0334  acc: 0.6250  lr: 0.0000 
ep/it:635- 294 niter:243500  1263m 27s (- 1717m 28s) completed: 42%) loss_emb: 0.0000  loss: 1.2441  loss_TTT: 0.0314  acc: 0.6302  lr: 0.0000 
ep/it:635- 344 niter:243550  1263m 45s (- 1717m 15s) completed: 42%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0323  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:636-  11 niter:243600  1264m 5s (- 1717m 6s) completed: 42%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0332  acc: 0.6324  lr: 0.0000 
ep/it:636-  61 niter:243650  1264m 22s (- 1716m 52s) completed: 42%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0318  acc: 0.6242  lr: 0.0000 
ep/it:636- 111 niter:243700  1264m 38s (- 1716m 38s) completed: 42%) loss_emb: 0.0000  loss: 1.2428  loss_TTT: 0.0320  acc: 0.6310  lr: 0.0000 
ep/it:636- 161 niter:243750  1264m 55s (- 1716m 24s) completed: 42%) loss_emb: 0.0000  loss: 1.2441  loss_TTT: 0.0310  acc: 0.6318  lr: 0.0000 
ep/it:636- 211 niter:243800  1265m 11s (- 1716m 9s) completed: 42%) loss_emb: 0.0000  loss: 1.2195  loss_TTT: 0.0318  acc: 0.6378  lr: 0.0000 
ep/it:636- 261 niter:243850  1265m 28s (- 1715m 55s) completed: 42%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0307  acc: 0.6339  lr: 0.0000 
ep/it:636- 311 niter:243900  1265m 45s (- 1715m 41s) completed: 42%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0321  acc: 0.6276  lr: 0.0000 
ep/it:636- 361 niter:243950  1266m 1s (- 1715m 27s) completed: 42%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0329  acc: 0.6295  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.599
ep/it:637-  28 niter:244000  1266m 22s (- 1715m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.2556  loss_TTT: 0.0326  acc: 0.6276  lr: 0.0000 
ep/it:637-  78 niter:244050  1266m 39s (- 1715m 5s) completed: 42%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0318  acc: 0.6302  lr: 0.0000 
ep/it:637- 128 niter:244100  1266m 56s (- 1714m 50s) completed: 42%) loss_emb: 0.0000  loss: 1.2506  loss_TTT: 0.0327  acc: 0.6286  lr: 0.0000 
ep/it:637- 178 niter:244150  1267m 12s (- 1714m 36s) completed: 42%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0320  acc: 0.6271  lr: 0.0000 
ep/it:637- 228 niter:244200  1267m 29s (- 1714m 23s) completed: 42%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0317  acc: 0.6311  lr: 0.0000 
ep/it:637- 278 niter:244250  1267m 46s (- 1714m 9s) completed: 42%) loss_emb: 0.0000  loss: 1.2401  loss_TTT: 0.0322  acc: 0.6310  lr: 0.0000 
ep/it:637- 328 niter:244300  1268m 3s (- 1713m 55s) completed: 42%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0304  acc: 0.6274  lr: 0.0000 
ep/it:637- 378 niter:244350  1268m 20s (- 1713m 41s) completed: 42%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0311  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.459, accuracy:0.590
ep/it:638-  45 niter:244400  1268m 40s (- 1713m 32s) completed: 42%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0329  acc: 0.6296  lr: 0.0000 
ep/it:638-  95 niter:244450  1268m 57s (- 1713m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0313  acc: 0.6260  lr: 0.0000 
ep/it:638- 145 niter:244500  1269m 14s (- 1713m 4s) completed: 42%) loss_emb: 0.0000  loss: 1.2294  loss_TTT: 0.0324  acc: 0.6334  lr: 0.0000 
ep/it:638- 195 niter:244550  1269m 31s (- 1712m 51s) completed: 42%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0325  acc: 0.6336  lr: 0.0000 
ep/it:638- 245 niter:244600  1269m 48s (- 1712m 37s) completed: 42%) loss_emb: 0.0000  loss: 1.2453  loss_TTT: 0.0297  acc: 0.6303  lr: 0.0000 
ep/it:638- 295 niter:244650  1270m 4s (- 1712m 23s) completed: 42%) loss_emb: 0.0000  loss: 1.2173  loss_TTT: 0.0316  acc: 0.6377  lr: 0.0000 
ep/it:638- 345 niter:244700  1270m 21s (- 1712m 9s) completed: 42%) loss_emb: 0.0000  loss: 1.2772  loss_TTT: 0.0317  acc: 0.6221  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.601
ep/it:639-  12 niter:244750  1270m 41s (- 1712m 0s) completed: 42%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0328  acc: 0.6247  lr: 0.0000 
ep/it:639-  62 niter:244800  1270m 58s (- 1711m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0314  acc: 0.6307  lr: 0.0000 
ep/it:639- 112 niter:244850  1271m 15s (- 1711m 31s) completed: 42%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0315  acc: 0.6293  lr: 0.0000 
ep/it:639- 162 niter:244900  1271m 32s (- 1711m 18s) completed: 42%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0313  acc: 0.6267  lr: 0.0000 
ep/it:639- 212 niter:244950  1271m 49s (- 1711m 4s) completed: 42%) loss_emb: 0.0000  loss: 1.2186  loss_TTT: 0.0314  acc: 0.6377  lr: 0.0000 
ep/it:639- 262 niter:245000  1272m 5s (- 1710m 50s) completed: 42%) loss_emb: 0.0000  loss: 1.2301  loss_TTT: 0.0318  acc: 0.6354  lr: 0.0000 
ep/it:639- 312 niter:245050  1272m 22s (- 1710m 36s) completed: 42%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0322  acc: 0.6250  lr: 0.0000 
ep/it:639- 362 niter:245100  1272m 39s (- 1710m 22s) completed: 42%) loss_emb: 0.0000  loss: 1.2287  loss_TTT: 0.0314  acc: 0.6341  lr: 0.0000 
Validation time:
Validation loss:1.379, accuracy:0.611

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.44it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.95it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.01it/s]
100%|██████████| 47/47 [00:06<00:00,  7.07it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.562615802977234 avg: 2.562615802977234
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.541295181028545 avg: 2.5519554920028895
--> 	 Eva. Repeat 22 :, FID. 0.1445, Diversity Real. 9.4696, Diversity. 9.8237, R_precision_real. [0.53515625 0.71777344 0.82421875], R_precision. [0.50878906 0.70507812 0.7890625 ], matching_score_real. 2.8778, matching_score_pred. 2.9755, skate_ratio. 0.0450, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4727 (traj_fail_50cm (Traj err)): 0.2529 (kps_fail_20cm): 0.3319 (kps_fail_50cm (Loc. err)): 0.1699 (kps_mean_err(m) (Avg. err)): 0.3238 
ep/it:640-  29 niter:245150  1273m 11s (- 1710m 28s) completed: 42%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0315  acc: 0.6300  lr: 0.0000 
ep/it:640-  79 niter:245200  1273m 27s (- 1710m 13s) completed: 42%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0332  acc: 0.6232  lr: 0.0000 
ep/it:640- 129 niter:245250  1273m 44s (- 1710m 0s) completed: 42%) loss_emb: 0.0000  loss: 1.2274  loss_TTT: 0.0311  acc: 0.6340  lr: 0.0000 
ep/it:640- 179 niter:245300  1274m 1s (- 1709m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0308  acc: 0.6349  lr: 0.0000 
ep/it:640- 229 niter:245350  1274m 18s (- 1709m 32s) completed: 42%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0325  acc: 0.6253  lr: 0.0000 
ep/it:640- 279 niter:245400  1274m 35s (- 1709m 19s) completed: 42%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0321  acc: 0.6312  lr: 0.0000 
ep/it:640- 329 niter:245450  1274m 52s (- 1709m 6s) completed: 42%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0316  acc: 0.6274  lr: 0.0000 
ep/it:640- 379 niter:245500  1275m 9s (- 1708m 51s) completed: 42%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0312  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.590
ep/it:641-  46 niter:245550  1275m 30s (- 1708m 43s) completed: 42%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0305  acc: 0.6272  lr: 0.0000 
ep/it:641-  96 niter:245600  1275m 46s (- 1708m 29s) completed: 42%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0328  acc: 0.6309  lr: 0.0000 
ep/it:641- 146 niter:245650  1276m 3s (- 1708m 15s) completed: 42%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0313  acc: 0.6321  lr: 0.0000 
ep/it:641- 196 niter:245700  1276m 20s (- 1708m 0s) completed: 42%) loss_emb: 0.0000  loss: 1.2296  loss_TTT: 0.0306  acc: 0.6344  lr: 0.0000 
ep/it:641- 246 niter:245750  1276m 36s (- 1707m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0310  acc: 0.6255  lr: 0.0000 
ep/it:641- 296 niter:245800  1276m 53s (- 1707m 32s) completed: 42%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0313  acc: 0.6238  lr: 0.0000 
ep/it:641- 346 niter:245850  1277m 10s (- 1707m 19s) completed: 42%) loss_emb: 0.0000  loss: 1.2370  loss_TTT: 0.0316  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.599
ep/it:642-  13 niter:245900  1277m 31s (- 1707m 10s) completed: 42%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0319  acc: 0.6316  lr: 0.0000 
ep/it:642-  63 niter:245950  1277m 48s (- 1706m 57s) completed: 42%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0313  acc: 0.6330  lr: 0.0000 
ep/it:642- 113 niter:246000  1278m 5s (- 1706m 42s) completed: 42%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0325  acc: 0.6329  lr: 0.0000 
ep/it:642- 163 niter:246050  1278m 22s (- 1706m 29s) completed: 42%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0307  acc: 0.6294  lr: 0.0000 
ep/it:642- 213 niter:246100  1278m 39s (- 1706m 15s) completed: 42%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0321  acc: 0.6247  lr: 0.0000 
ep/it:642- 263 niter:246150  1278m 55s (- 1706m 0s) completed: 42%) loss_emb: 0.0000  loss: 1.2398  loss_TTT: 0.0316  acc: 0.6317  lr: 0.0000 
ep/it:642- 313 niter:246200  1279m 11s (- 1705m 46s) completed: 42%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0329  acc: 0.6262  lr: 0.0000 
ep/it:642- 363 niter:246250  1279m 28s (- 1705m 32s) completed: 42%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0306  acc: 0.6330  lr: 0.0000 
Validation time:
Validation loss:1.389, accuracy:0.608
ep/it:643-  30 niter:246300  1279m 48s (- 1705m 22s) completed: 42%) loss_emb: 0.0000  loss: 1.2421  loss_TTT: 0.0324  acc: 0.6305  lr: 0.0000 
ep/it:643-  80 niter:246350  1280m 5s (- 1705m 8s) completed: 42%) loss_emb: 0.0000  loss: 1.2237  loss_TTT: 0.0319  acc: 0.6354  lr: 0.0000 
ep/it:643- 130 niter:246400  1280m 22s (- 1704m 54s) completed: 42%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0315  acc: 0.6310  lr: 0.0000 
ep/it:643- 180 niter:246450  1280m 38s (- 1704m 39s) completed: 42%) loss_emb: 0.0000  loss: 1.2502  loss_TTT: 0.0305  acc: 0.6288  lr: 0.0000 
ep/it:643- 230 niter:246500  1280m 55s (- 1704m 26s) completed: 42%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0328  acc: 0.6307  lr: 0.0000 
ep/it:643- 280 niter:246550  1281m 12s (- 1704m 12s) completed: 42%) loss_emb: 0.0000  loss: 1.2341  loss_TTT: 0.0324  acc: 0.6332  lr: 0.0000 
ep/it:643- 330 niter:246600  1281m 29s (- 1703m 58s) completed: 42%) loss_emb: 0.0000  loss: 1.2277  loss_TTT: 0.0309  acc: 0.6347  lr: 0.0000 
ep/it:643- 380 niter:246650  1281m 45s (- 1703m 44s) completed: 42%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0308  acc: 0.6313  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.605
ep/it:644-  47 niter:246700  1282m 6s (- 1703m 35s) completed: 42%) loss_emb: 0.0000  loss: 1.2184  loss_TTT: 0.0310  acc: 0.6372  lr: 0.0000 
ep/it:644-  97 niter:246750  1282m 23s (- 1703m 21s) completed: 42%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0318  acc: 0.6240  lr: 0.0000 
ep/it:644- 147 niter:246800  1282m 40s (- 1703m 7s) completed: 42%) loss_emb: 0.0000  loss: 1.2229  loss_TTT: 0.0314  acc: 0.6360  lr: 0.0000 
ep/it:644- 197 niter:246850  1282m 57s (- 1702m 53s) completed: 42%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0317  acc: 0.6276  lr: 0.0000 
ep/it:644- 247 niter:246900  1283m 13s (- 1702m 39s) completed: 42%) loss_emb: 0.0000  loss: 1.2590  loss_TTT: 0.0331  acc: 0.6268  lr: 0.0000 
ep/it:644- 297 niter:246950  1283m 31s (- 1702m 26s) completed: 42%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0333  acc: 0.6218  lr: 0.0000 
ep/it:644- 347 niter:247000  1283m 47s (- 1702m 12s) completed: 42%) loss_emb: 0.0000  loss: 1.2210  loss_TTT: 0.0320  acc: 0.6369  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.596
ep/it:645-  14 niter:247050  1284m 9s (- 1702m 4s) completed: 43%) loss_emb: 0.0000  loss: 1.2202  loss_TTT: 0.0317  acc: 0.6362  lr: 0.0000 
ep/it:645-  64 niter:247100  1284m 25s (- 1701m 49s) completed: 43%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0308  acc: 0.6280  lr: 0.0000 
ep/it:645- 114 niter:247150  1284m 42s (- 1701m 36s) completed: 43%) loss_emb: 0.0000  loss: 1.2343  loss_TTT: 0.0327  acc: 0.6336  lr: 0.0000 
ep/it:645- 164 niter:247200  1284m 59s (- 1701m 21s) completed: 43%) loss_emb: 0.0000  loss: 1.2569  loss_TTT: 0.0320  acc: 0.6276  lr: 0.0000 
ep/it:645- 214 niter:247250  1285m 15s (- 1701m 7s) completed: 43%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0314  acc: 0.6293  lr: 0.0000 
ep/it:645- 264 niter:247300  1285m 33s (- 1700m 54s) completed: 43%) loss_emb: 0.0000  loss: 1.2445  loss_TTT: 0.0323  acc: 0.6299  lr: 0.0000 
ep/it:645- 314 niter:247350  1285m 50s (- 1700m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0311  acc: 0.6248  lr: 0.0000 
ep/it:645- 364 niter:247400  1286m 6s (- 1700m 25s) completed: 43%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0323  acc: 0.6292  lr: 0.0000 
Validation time:
Validation loss:1.386, accuracy:0.611
ep/it:646-  31 niter:247450  1286m 27s (- 1700m 16s) completed: 43%) loss_emb: 0.0000  loss: 1.2394  loss_TTT: 0.0317  acc: 0.6321  lr: 0.0000 
ep/it:646-  81 niter:247500  1286m 43s (- 1700m 2s) completed: 43%) loss_emb: 0.0000  loss: 1.2169  loss_TTT: 0.0312  acc: 0.6378  lr: 0.0000 
ep/it:646- 131 niter:247550  1287m 0s (- 1699m 48s) completed: 43%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0335  acc: 0.6271  lr: 0.0000 
ep/it:646- 181 niter:247600  1287m 17s (- 1699m 35s) completed: 43%) loss_emb: 0.0000  loss: 1.2220  loss_TTT: 0.0303  acc: 0.6370  lr: 0.0000 
ep/it:646- 231 niter:247650  1287m 34s (- 1699m 20s) completed: 43%) loss_emb: 0.0000  loss: 1.2345  loss_TTT: 0.0309  acc: 0.6340  lr: 0.0000 
ep/it:646- 281 niter:247700  1287m 50s (- 1699m 6s) completed: 43%) loss_emb: 0.0000  loss: 1.2607  loss_TTT: 0.0325  acc: 0.6259  lr: 0.0000 
ep/it:646- 331 niter:247750  1288m 7s (- 1698m 52s) completed: 43%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0319  acc: 0.6255  lr: 0.0000 
ep/it:646- 381 niter:247800  1288m 24s (- 1698m 38s) completed: 43%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0316  acc: 0.6322  lr: 0.0000 
Validation time:
Validation loss:1.485, accuracy:0.584
ep/it:647-  48 niter:247850  1288m 44s (- 1698m 28s) completed: 43%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0313  acc: 0.6329  lr: 0.0000 
ep/it:647-  98 niter:247900  1289m 0s (- 1698m 13s) completed: 43%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0318  acc: 0.6287  lr: 0.0000 
ep/it:647- 148 niter:247950  1289m 17s (- 1697m 59s) completed: 43%) loss_emb: 0.0000  loss: 1.2419  loss_TTT: 0.0328  acc: 0.6309  lr: 0.0000 
ep/it:647- 198 niter:248000  1289m 33s (- 1697m 45s) completed: 43%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0326  acc: 0.6302  lr: 0.0000 
ep/it:647- 248 niter:248050  1289m 50s (- 1697m 31s) completed: 43%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0319  acc: 0.6258  lr: 0.0000 
ep/it:647- 298 niter:248100  1290m 7s (- 1697m 17s) completed: 43%) loss_emb: 0.0000  loss: 1.2160  loss_TTT: 0.0309  acc: 0.6385  lr: 0.0000 
ep/it:647- 348 niter:248150  1290m 23s (- 1697m 2s) completed: 43%) loss_emb: 0.0000  loss: 1.2452  loss_TTT: 0.0303  acc: 0.6301  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.589
ep/it:648-  15 niter:248200  1290m 44s (- 1696m 53s) completed: 43%) loss_emb: 0.0000  loss: 1.2523  loss_TTT: 0.0319  acc: 0.6281  lr: 0.0000 
ep/it:648-  65 niter:248250  1291m 0s (- 1696m 39s) completed: 43%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0322  acc: 0.6278  lr: 0.0000 
ep/it:648- 115 niter:248300  1291m 17s (- 1696m 25s) completed: 43%) loss_emb: 0.0000  loss: 1.2062  loss_TTT: 0.0303  acc: 0.6403  lr: 0.0000 
ep/it:648- 165 niter:248350  1291m 34s (- 1696m 11s) completed: 43%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0334  acc: 0.6317  lr: 0.0000 
ep/it:648- 215 niter:248400  1291m 51s (- 1695m 57s) completed: 43%) loss_emb: 0.0000  loss: 1.2472  loss_TTT: 0.0309  acc: 0.6297  lr: 0.0000 
ep/it:648- 265 niter:248450  1292m 8s (- 1695m 42s) completed: 43%) loss_emb: 0.0000  loss: 1.2267  loss_TTT: 0.0328  acc: 0.6348  lr: 0.0000 
ep/it:648- 315 niter:248500  1292m 25s (- 1695m 29s) completed: 43%) loss_emb: 0.0000  loss: 1.2418  loss_TTT: 0.0306  acc: 0.6307  lr: 0.0000 
ep/it:648- 365 niter:248550  1292m 42s (- 1695m 16s) completed: 43%) loss_emb: 0.0000  loss: 1.2378  loss_TTT: 0.0315  acc: 0.6325  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.591
ep/it:649-  32 niter:248600  1293m 2s (- 1695m 6s) completed: 43%) loss_emb: 0.0000  loss: 1.2342  loss_TTT: 0.0301  acc: 0.6321  lr: 0.0000 
ep/it:649-  82 niter:248650  1293m 19s (- 1694m 51s) completed: 43%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0329  acc: 0.6296  lr: 0.0000 
ep/it:649- 132 niter:248700  1293m 35s (- 1694m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0318  acc: 0.6260  lr: 0.0000 
ep/it:649- 182 niter:248750  1293m 52s (- 1694m 22s) completed: 43%) loss_emb: 0.0000  loss: 1.2241  loss_TTT: 0.0322  acc: 0.6351  lr: 0.0000 
ep/it:649- 232 niter:248800  1294m 8s (- 1694m 8s) completed: 43%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0325  acc: 0.6294  lr: 0.0000 
ep/it:649- 282 niter:248850  1294m 25s (- 1693m 54s) completed: 43%) loss_emb: 0.0000  loss: 1.2342  loss_TTT: 0.0311  acc: 0.6337  lr: 0.0000 
ep/it:649- 332 niter:248900  1294m 41s (- 1693m 39s) completed: 43%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0328  acc: 0.6249  lr: 0.0000 
ep/it:649- 382 niter:248950  1294m 57s (- 1693m 24s) completed: 43%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0322  acc: 0.6311  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.592

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.20it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.70it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.96it/s]
100%|██████████| 47/47 [00:06<00:00,  6.95it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5589740239083767 avg: 2.5589740239083767
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.554699703119695 avg: 2.556836863514036
--> 	 Eva. Repeat 22 :, FID. 0.1952, Diversity Real. 9.5855, Diversity. 9.7605, R_precision_real. [0.53222656 0.72558594 0.81445312], R_precision. [0.53320312 0.70898438 0.80859375], matching_score_real. 2.8448, matching_score_pred. 2.9031, skate_ratio. 0.0476, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4951 (traj_fail_50cm (Traj err)): 0.2676 (kps_fail_20cm): 0.3429 (kps_fail_50cm (Loc. err)): 0.1811 (kps_mean_err(m) (Avg. err)): 0.3300 
ep/it:650-  49 niter:249000  1295m 26s (- 1693m 26s) completed: 43%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0317  acc: 0.6284  lr: 0.0000 
ep/it:650-  99 niter:249050  1295m 43s (- 1693m 12s) completed: 43%) loss_emb: 0.0000  loss: 1.2476  loss_TTT: 0.0325  acc: 0.6293  lr: 0.0000 
ep/it:650- 149 niter:249100  1295m 59s (- 1692m 58s) completed: 43%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0308  acc: 0.6215  lr: 0.0000 
ep/it:650- 199 niter:249150  1296m 16s (- 1692m 44s) completed: 43%) loss_emb: 0.0000  loss: 1.2199  loss_TTT: 0.0310  acc: 0.6366  lr: 0.0000 
ep/it:650- 249 niter:249200  1296m 33s (- 1692m 30s) completed: 43%) loss_emb: 0.0000  loss: 1.2504  loss_TTT: 0.0307  acc: 0.6286  lr: 0.0000 
ep/it:650- 299 niter:249250  1296m 49s (- 1692m 15s) completed: 43%) loss_emb: 0.0000  loss: 1.2523  loss_TTT: 0.0308  acc: 0.6278  lr: 0.0000 
ep/it:650- 349 niter:249300  1297m 6s (- 1692m 1s) completed: 43%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0328  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.598
ep/it:651-  16 niter:249350  1297m 27s (- 1691m 51s) completed: 43%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0311  acc: 0.6334  lr: 0.0000 
ep/it:651-  66 niter:249400  1297m 43s (- 1691m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0324  acc: 0.6265  lr: 0.0000 
ep/it:651- 116 niter:249450  1297m 59s (- 1691m 22s) completed: 43%) loss_emb: 0.0000  loss: 1.2502  loss_TTT: 0.0325  acc: 0.6289  lr: 0.0000 
ep/it:651- 166 niter:249500  1298m 16s (- 1691m 8s) completed: 43%) loss_emb: 0.0000  loss: 1.2398  loss_TTT: 0.0314  acc: 0.6319  lr: 0.0000 
ep/it:651- 216 niter:249550  1298m 33s (- 1690m 54s) completed: 43%) loss_emb: 0.0000  loss: 1.2488  loss_TTT: 0.0320  acc: 0.6303  lr: 0.0000 
ep/it:651- 266 niter:249600  1298m 50s (- 1690m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.2646  loss_TTT: 0.0325  acc: 0.6238  lr: 0.0000 
ep/it:651- 316 niter:249650  1299m 7s (- 1690m 26s) completed: 43%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0309  acc: 0.6300  lr: 0.0000 
ep/it:651- 366 niter:249700  1299m 23s (- 1690m 12s) completed: 43%) loss_emb: 0.0000  loss: 1.2160  loss_TTT: 0.0319  acc: 0.6384  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.601
ep/it:652-  33 niter:249750  1299m 44s (- 1690m 3s) completed: 43%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0316  acc: 0.6237  lr: 0.0000 
ep/it:652-  83 niter:249800  1300m 1s (- 1689m 48s) completed: 43%) loss_emb: 0.0000  loss: 1.2320  loss_TTT: 0.0314  acc: 0.6328  lr: 0.0000 
ep/it:652- 133 niter:249850  1300m 17s (- 1689m 34s) completed: 43%) loss_emb: 0.0000  loss: 1.2227  loss_TTT: 0.0323  acc: 0.6359  lr: 0.0000 
ep/it:652- 183 niter:249900  1300m 34s (- 1689m 19s) completed: 43%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0318  acc: 0.6289  lr: 0.0000 
ep/it:652- 233 niter:249950  1300m 51s (- 1689m 6s) completed: 43%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0314  acc: 0.6225  lr: 0.0000 
ep/it:652- 283 niter:250000  1301m 7s (- 1688m 52s) completed: 43%) loss_emb: 0.0000  loss: 1.2230  loss_TTT: 0.0318  acc: 0.6358  lr: 0.0000 
ep/it:652- 333 niter:250050  1301m 24s (- 1688m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0329  acc: 0.6302  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.591
ep/it:653-   0 niter:250100  1301m 45s (- 1688m 28s) completed: 43%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0339  acc: 0.6281  lr: 0.0000 
ep/it:653-  50 niter:250150  1302m 2s (- 1688m 14s) completed: 43%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0307  acc: 0.6345  lr: 0.0000 
ep/it:653- 100 niter:250200  1302m 18s (- 1688m 0s) completed: 43%) loss_emb: 0.0000  loss: 1.2641  loss_TTT: 0.0329  acc: 0.6247  lr: 0.0000 
ep/it:653- 150 niter:250250  1302m 35s (- 1687m 46s) completed: 43%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0312  acc: 0.6321  lr: 0.0000 
ep/it:653- 200 niter:250300  1302m 52s (- 1687m 32s) completed: 43%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0320  acc: 0.6274  lr: 0.0000 
ep/it:653- 250 niter:250350  1303m 8s (- 1687m 17s) completed: 43%) loss_emb: 0.0000  loss: 1.2369  loss_TTT: 0.0310  acc: 0.6328  lr: 0.0000 
ep/it:653- 300 niter:250400  1303m 25s (- 1687m 3s) completed: 43%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0308  acc: 0.6239  lr: 0.0000 
ep/it:653- 350 niter:250450  1303m 42s (- 1686m 49s) completed: 43%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0322  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.386, accuracy:0.610
ep/it:654-  17 niter:250500  1304m 2s (- 1686m 40s) completed: 43%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0312  acc: 0.6249  lr: 0.0000 
ep/it:654-  67 niter:250550  1304m 20s (- 1686m 27s) completed: 43%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0317  acc: 0.6332  lr: 0.0000 
ep/it:654- 117 niter:250600  1304m 38s (- 1686m 14s) completed: 43%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0307  acc: 0.6313  lr: 0.0000 
ep/it:654- 167 niter:250650  1304m 54s (- 1686m 0s) completed: 43%) loss_emb: 0.0000  loss: 1.2376  loss_TTT: 0.0325  acc: 0.6331  lr: 0.0000 
ep/it:654- 217 niter:250700  1305m 11s (- 1685m 46s) completed: 43%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0319  acc: 0.6240  lr: 0.0000 
ep/it:654- 267 niter:250750  1305m 28s (- 1685m 31s) completed: 43%) loss_emb: 0.0000  loss: 1.2299  loss_TTT: 0.0315  acc: 0.6348  lr: 0.0000 
ep/it:654- 317 niter:250800  1305m 45s (- 1685m 17s) completed: 43%) loss_emb: 0.0000  loss: 1.2223  loss_TTT: 0.0317  acc: 0.6373  lr: 0.0000 
ep/it:654- 367 niter:250850  1306m 2s (- 1685m 4s) completed: 43%) loss_emb: 0.0000  loss: 1.2411  loss_TTT: 0.0319  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.458, accuracy:0.590
ep/it:655-  34 niter:250900  1306m 23s (- 1684m 55s) completed: 43%) loss_emb: 0.0000  loss: 1.2273  loss_TTT: 0.0313  acc: 0.6355  lr: 0.0000 
ep/it:655-  84 niter:250950  1306m 40s (- 1684m 41s) completed: 43%) loss_emb: 0.0000  loss: 1.2390  loss_TTT: 0.0312  acc: 0.6324  lr: 0.0000 
ep/it:655- 134 niter:251000  1306m 57s (- 1684m 27s) completed: 43%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0317  acc: 0.6285  lr: 0.0000 
ep/it:655- 184 niter:251050  1307m 14s (- 1684m 13s) completed: 43%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0310  acc: 0.6310  lr: 0.0000 
ep/it:655- 234 niter:251100  1307m 30s (- 1683m 59s) completed: 43%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0315  acc: 0.6346  lr: 0.0000 
ep/it:655- 284 niter:251150  1307m 47s (- 1683m 44s) completed: 43%) loss_emb: 0.0000  loss: 1.2459  loss_TTT: 0.0307  acc: 0.6312  lr: 0.0000 
ep/it:655- 334 niter:251200  1308m 4s (- 1683m 30s) completed: 43%) loss_emb: 0.0000  loss: 1.2403  loss_TTT: 0.0314  acc: 0.6319  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.603
ep/it:656-   1 niter:251250  1308m 24s (- 1683m 21s) completed: 43%) loss_emb: 0.0000  loss: 1.2118  loss_TTT: 0.0321  acc: 0.6401  lr: 0.0000 
ep/it:656-  51 niter:251300  1308m 41s (- 1683m 6s) completed: 43%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0337  acc: 0.6210  lr: 0.0000 
ep/it:656- 101 niter:251350  1308m 58s (- 1682m 53s) completed: 43%) loss_emb: 0.0000  loss: 1.2347  loss_TTT: 0.0309  acc: 0.6320  lr: 0.0000 
ep/it:656- 151 niter:251400  1309m 15s (- 1682m 39s) completed: 43%) loss_emb: 0.0000  loss: 1.2234  loss_TTT: 0.0315  acc: 0.6365  lr: 0.0000 
ep/it:656- 201 niter:251450  1309m 31s (- 1682m 25s) completed: 43%) loss_emb: 0.0000  loss: 1.2291  loss_TTT: 0.0308  acc: 0.6343  lr: 0.0000 
ep/it:656- 251 niter:251500  1309m 48s (- 1682m 10s) completed: 43%) loss_emb: 0.0000  loss: 1.2369  loss_TTT: 0.0311  acc: 0.6321  lr: 0.0000 
ep/it:656- 301 niter:251550  1310m 6s (- 1681m 57s) completed: 43%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0310  acc: 0.6306  lr: 0.0000 
ep/it:656- 351 niter:251600  1310m 22s (- 1681m 43s) completed: 43%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0320  acc: 0.6339  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.602
ep/it:657-  18 niter:251650  1310m 43s (- 1681m 34s) completed: 43%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0314  acc: 0.6339  lr: 0.0000 
ep/it:657-  68 niter:251700  1310m 59s (- 1681m 19s) completed: 43%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0310  acc: 0.6250  lr: 0.0000 
ep/it:657- 118 niter:251750  1311m 17s (- 1681m 6s) completed: 43%) loss_emb: 0.0000  loss: 1.2344  loss_TTT: 0.0296  acc: 0.6324  lr: 0.0000 
ep/it:657- 168 niter:251800  1311m 33s (- 1680m 51s) completed: 43%) loss_emb: 0.0000  loss: 1.2462  loss_TTT: 0.0317  acc: 0.6294  lr: 0.0000 
ep/it:657- 218 niter:251850  1311m 50s (- 1680m 37s) completed: 43%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0334  acc: 0.6303  lr: 0.0000 
ep/it:657- 268 niter:251900  1312m 6s (- 1680m 23s) completed: 43%) loss_emb: 0.0000  loss: 1.2337  loss_TTT: 0.0314  acc: 0.6336  lr: 0.0000 
ep/it:657- 318 niter:251950  1312m 23s (- 1680m 8s) completed: 43%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0312  acc: 0.6267  lr: 0.0000 
ep/it:657- 368 niter:252000  1312m 40s (- 1679m 54s) completed: 43%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0317  acc: 0.6274  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.605
ep/it:658-  35 niter:252050  1313m 1s (- 1679m 46s) completed: 43%) loss_emb: 0.0000  loss: 1.2252  loss_TTT: 0.0313  acc: 0.6360  lr: 0.0000 
ep/it:658-  85 niter:252100  1313m 18s (- 1679m 31s) completed: 43%) loss_emb: 0.0000  loss: 1.2375  loss_TTT: 0.0313  acc: 0.6320  lr: 0.0000 
ep/it:658- 135 niter:252150  1313m 35s (- 1679m 17s) completed: 43%) loss_emb: 0.0000  loss: 1.2306  loss_TTT: 0.0319  acc: 0.6336  lr: 0.0000 
ep/it:658- 185 niter:252200  1313m 51s (- 1679m 3s) completed: 43%) loss_emb: 0.0000  loss: 1.2284  loss_TTT: 0.0315  acc: 0.6346  lr: 0.0000 
ep/it:658- 235 niter:252250  1314m 8s (- 1678m 49s) completed: 43%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0317  acc: 0.6257  lr: 0.0000 
ep/it:658- 285 niter:252300  1314m 25s (- 1678m 35s) completed: 43%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0303  acc: 0.6291  lr: 0.0000 
ep/it:658- 335 niter:252350  1314m 42s (- 1678m 21s) completed: 43%) loss_emb: 0.0000  loss: 1.2501  loss_TTT: 0.0316  acc: 0.6293  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.601
ep/it:659-   2 niter:252400  1315m 3s (- 1678m 12s) completed: 43%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0309  acc: 0.6321  lr: 0.0000 
ep/it:659-  52 niter:252450  1315m 20s (- 1677m 58s) completed: 43%) loss_emb: 0.0000  loss: 1.2635  loss_TTT: 0.0326  acc: 0.6256  lr: 0.0000 
ep/it:659- 102 niter:252500  1315m 36s (- 1677m 44s) completed: 43%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0319  acc: 0.6289  lr: 0.0000 
ep/it:659- 152 niter:252550  1315m 53s (- 1677m 30s) completed: 43%) loss_emb: 0.0000  loss: 1.2316  loss_TTT: 0.0304  acc: 0.6340  lr: 0.0000 
ep/it:659- 202 niter:252600  1316m 10s (- 1677m 15s) completed: 43%) loss_emb: 0.0000  loss: 1.2464  loss_TTT: 0.0308  acc: 0.6311  lr: 0.0000 
ep/it:659- 252 niter:252650  1316m 27s (- 1677m 1s) completed: 43%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0322  acc: 0.6304  lr: 0.0000 
ep/it:659- 302 niter:252700  1316m 43s (- 1676m 47s) completed: 43%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0316  acc: 0.6278  lr: 0.0000 
ep/it:659- 352 niter:252750  1317m 0s (- 1676m 33s) completed: 43%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0309  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.73it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.67it/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:  2.5570822623558342 avg: 2.5570822623558342
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.540107635781169 avg: 2.5485949490685016
--> 	 Eva. Repeat 22 :, FID. 0.1750, Diversity Real. 9.3927, Diversity. 9.5845, R_precision_real. [0.5        0.70214844 0.78613281], R_precision. [0.54394531 0.72167969 0.82421875], matching_score_real. 2.9190, matching_score_pred. 2.8804, skate_ratio. 0.0450, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4775 (traj_fail_50cm (Traj err)): 0.2715 (kps_fail_20cm): 0.3361 (kps_fail_50cm (Loc. err)): 0.1827 (kps_mean_err(m) (Avg. err)): 0.3469 
ep/it:660-  19 niter:252800  1317m 29s (- 1676m 34s) completed: 44%) loss_emb: 0.0000  loss: 1.2295  loss_TTT: 0.0305  acc: 0.6323  lr: 0.0000 
ep/it:660-  69 niter:252850  1317m 46s (- 1676m 19s) completed: 44%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0311  acc: 0.6295  lr: 0.0000 
ep/it:660- 119 niter:252900  1318m 3s (- 1676m 6s) completed: 44%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0320  acc: 0.6318  lr: 0.0000 
ep/it:660- 169 niter:252950  1318m 20s (- 1675m 52s) completed: 44%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0320  acc: 0.6276  lr: 0.0000 
ep/it:660- 219 niter:253000  1318m 36s (- 1675m 37s) completed: 44%) loss_emb: 0.0000  loss: 1.2233  loss_TTT: 0.0303  acc: 0.6360  lr: 0.0000 
ep/it:660- 269 niter:253050  1318m 53s (- 1675m 23s) completed: 44%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0335  acc: 0.6256  lr: 0.0000 
ep/it:660- 319 niter:253100  1319m 10s (- 1675m 9s) completed: 44%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0301  acc: 0.6340  lr: 0.0000 
ep/it:660- 369 niter:253150  1319m 26s (- 1674m 54s) completed: 44%) loss_emb: 0.0000  loss: 1.2244  loss_TTT: 0.0312  acc: 0.6354  lr: 0.0000 
Validation time:
Validation loss:1.457, accuracy:0.589
ep/it:661-  36 niter:253200  1319m 46s (- 1674m 44s) completed: 44%) loss_emb: 0.0000  loss: 1.2347  loss_TTT: 0.0317  acc: 0.6320  lr: 0.0000 
ep/it:661-  86 niter:253250  1320m 2s (- 1674m 29s) completed: 44%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0307  acc: 0.6267  lr: 0.0000 
ep/it:661- 136 niter:253300  1320m 18s (- 1674m 14s) completed: 44%) loss_emb: 0.0000  loss: 1.2513  loss_TTT: 0.0327  acc: 0.6294  lr: 0.0000 
ep/it:661- 186 niter:253350  1320m 35s (- 1673m 59s) completed: 44%) loss_emb: 0.0000  loss: 1.2327  loss_TTT: 0.0305  acc: 0.6338  lr: 0.0000 
ep/it:661- 236 niter:253400  1320m 51s (- 1673m 45s) completed: 44%) loss_emb: 0.0000  loss: 1.2509  loss_TTT: 0.0316  acc: 0.6294  lr: 0.0000 
ep/it:661- 286 niter:253450  1321m 8s (- 1673m 30s) completed: 44%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0310  acc: 0.6297  lr: 0.0000 
ep/it:661- 336 niter:253500  1321m 24s (- 1673m 15s) completed: 44%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0322  acc: 0.6340  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.593
ep/it:662-   3 niter:253550  1321m 45s (- 1673m 6s) completed: 44%) loss_emb: 0.0000  loss: 1.2341  loss_TTT: 0.0316  acc: 0.6336  lr: 0.0000 
ep/it:662-  53 niter:253600  1322m 2s (- 1672m 52s) completed: 44%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0304  acc: 0.6263  lr: 0.0000 
ep/it:662- 103 niter:253650  1322m 18s (- 1672m 37s) completed: 44%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0316  acc: 0.6293  lr: 0.0000 
ep/it:662- 153 niter:253700  1322m 34s (- 1672m 22s) completed: 44%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0325  acc: 0.6337  lr: 0.0000 
ep/it:662- 203 niter:253750  1322m 50s (- 1672m 7s) completed: 44%) loss_emb: 0.0000  loss: 1.2234  loss_TTT: 0.0324  acc: 0.6365  lr: 0.0000 
ep/it:662- 253 niter:253800  1323m 7s (- 1671m 53s) completed: 44%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0339  acc: 0.6298  lr: 0.0000 
ep/it:662- 303 niter:253850  1323m 24s (- 1671m 39s) completed: 44%) loss_emb: 0.0000  loss: 1.2469  loss_TTT: 0.0321  acc: 0.6306  lr: 0.0000 
ep/it:662- 353 niter:253900  1323m 40s (- 1671m 24s) completed: 44%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0318  acc: 0.6289  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.597
ep/it:663-  20 niter:253950  1324m 0s (- 1671m 14s) completed: 44%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0309  acc: 0.6261  lr: 0.0000 
ep/it:663-  70 niter:254000  1324m 17s (- 1670m 59s) completed: 44%) loss_emb: 0.0000  loss: 1.2419  loss_TTT: 0.0319  acc: 0.6304  lr: 0.0000 
ep/it:663- 120 niter:254050  1324m 33s (- 1670m 45s) completed: 44%) loss_emb: 0.0000  loss: 1.2554  loss_TTT: 0.0315  acc: 0.6275  lr: 0.0000 
ep/it:663- 170 niter:254100  1324m 50s (- 1670m 30s) completed: 44%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0306  acc: 0.6303  lr: 0.0000 
ep/it:663- 220 niter:254150  1325m 6s (- 1670m 16s) completed: 44%) loss_emb: 0.0000  loss: 1.2483  loss_TTT: 0.0315  acc: 0.6296  lr: 0.0000 
ep/it:663- 270 niter:254200  1325m 23s (- 1670m 1s) completed: 44%) loss_emb: 0.0000  loss: 1.2282  loss_TTT: 0.0309  acc: 0.6349  lr: 0.0000 
ep/it:663- 320 niter:254250  1325m 39s (- 1669m 47s) completed: 44%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0318  acc: 0.6297  lr: 0.0000 
ep/it:663- 370 niter:254300  1325m 56s (- 1669m 32s) completed: 44%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0310  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.476, accuracy:0.587
ep/it:664-  37 niter:254350  1326m 16s (- 1669m 23s) completed: 44%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0306  acc: 0.6332  lr: 0.0000 
ep/it:664-  87 niter:254400  1326m 33s (- 1669m 9s) completed: 44%) loss_emb: 0.0000  loss: 1.2323  loss_TTT: 0.0319  acc: 0.6335  lr: 0.0000 
ep/it:664- 137 niter:254450  1326m 50s (- 1668m 54s) completed: 44%) loss_emb: 0.0000  loss: 1.2536  loss_TTT: 0.0327  acc: 0.6282  lr: 0.0000 
ep/it:664- 187 niter:254500  1327m 6s (- 1668m 40s) completed: 44%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0334  acc: 0.6261  lr: 0.0000 
ep/it:664- 237 niter:254550  1327m 23s (- 1668m 26s) completed: 44%) loss_emb: 0.0000  loss: 1.2464  loss_TTT: 0.0332  acc: 0.6298  lr: 0.0000 
ep/it:664- 287 niter:254600  1327m 40s (- 1668m 11s) completed: 44%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0296  acc: 0.6303  lr: 0.0000 
ep/it:664- 337 niter:254650  1327m 57s (- 1667m 57s) completed: 44%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0326  acc: 0.6253  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.588
ep/it:665-   4 niter:254700  1328m 18s (- 1667m 48s) completed: 44%) loss_emb: 0.0000  loss: 1.2250  loss_TTT: 0.0298  acc: 0.6352  lr: 0.0000 
ep/it:665-  54 niter:254750  1328m 34s (- 1667m 33s) completed: 44%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0322  acc: 0.6258  lr: 0.0000 
ep/it:665- 104 niter:254800  1328m 51s (- 1667m 19s) completed: 44%) loss_emb: 0.0000  loss: 1.2295  loss_TTT: 0.0315  acc: 0.6350  lr: 0.0000 
ep/it:665- 154 niter:254850  1329m 8s (- 1667m 5s) completed: 44%) loss_emb: 0.0000  loss: 1.2483  loss_TTT: 0.0317  acc: 0.6290  lr: 0.0000 
ep/it:665- 204 niter:254900  1329m 24s (- 1666m 51s) completed: 44%) loss_emb: 0.0000  loss: 1.2328  loss_TTT: 0.0322  acc: 0.6329  lr: 0.0000 
ep/it:665- 254 niter:254950  1329m 42s (- 1666m 37s) completed: 44%) loss_emb: 0.0000  loss: 1.2157  loss_TTT: 0.0316  acc: 0.6391  lr: 0.0000 
ep/it:665- 304 niter:255000  1329m 58s (- 1666m 23s) completed: 44%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0303  acc: 0.6282  lr: 0.0000 
ep/it:665- 354 niter:255050  1330m 15s (- 1666m 8s) completed: 44%) loss_emb: 0.0000  loss: 1.2556  loss_TTT: 0.0312  acc: 0.6280  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.597
ep/it:666-  21 niter:255100  1330m 35s (- 1665m 59s) completed: 44%) loss_emb: 0.0000  loss: 1.2498  loss_TTT: 0.0320  acc: 0.6293  lr: 0.0000 
ep/it:666-  71 niter:255150  1330m 52s (- 1665m 44s) completed: 44%) loss_emb: 0.0000  loss: 1.2067  loss_TTT: 0.0313  acc: 0.6396  lr: 0.0000 
ep/it:666- 121 niter:255200  1331m 8s (- 1665m 29s) completed: 44%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0315  acc: 0.6283  lr: 0.0000 
ep/it:666- 171 niter:255250  1331m 25s (- 1665m 16s) completed: 44%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0334  acc: 0.6236  lr: 0.0000 
ep/it:666- 221 niter:255300  1331m 42s (- 1665m 2s) completed: 44%) loss_emb: 0.0000  loss: 1.2225  loss_TTT: 0.0304  acc: 0.6386  lr: 0.0000 
ep/it:666- 271 niter:255350  1331m 59s (- 1664m 47s) completed: 44%) loss_emb: 0.0000  loss: 1.2193  loss_TTT: 0.0318  acc: 0.6368  lr: 0.0000 
ep/it:666- 321 niter:255400  1332m 15s (- 1664m 32s) completed: 44%) loss_emb: 0.0000  loss: 1.2336  loss_TTT: 0.0312  acc: 0.6332  lr: 0.0000 
ep/it:666- 371 niter:255450  1332m 32s (- 1664m 18s) completed: 44%) loss_emb: 0.0000  loss: 1.2355  loss_TTT: 0.0315  acc: 0.6336  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:667-  38 niter:255500  1332m 53s (- 1664m 9s) completed: 44%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0310  acc: 0.6267  lr: 0.0000 
ep/it:667-  88 niter:255550  1333m 9s (- 1663m 54s) completed: 44%) loss_emb: 0.0000  loss: 1.2403  loss_TTT: 0.0323  acc: 0.6309  lr: 0.0000 
ep/it:667- 138 niter:255600  1333m 26s (- 1663m 39s) completed: 44%) loss_emb: 0.0000  loss: 1.2301  loss_TTT: 0.0317  acc: 0.6344  lr: 0.0000 
ep/it:667- 188 niter:255650  1333m 42s (- 1663m 24s) completed: 44%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0312  acc: 0.6243  lr: 0.0000 
ep/it:667- 238 niter:255700  1333m 58s (- 1663m 10s) completed: 44%) loss_emb: 0.0000  loss: 1.2661  loss_TTT: 0.0319  acc: 0.6246  lr: 0.0000 
ep/it:667- 288 niter:255750  1334m 15s (- 1662m 55s) completed: 44%) loss_emb: 0.0000  loss: 1.2016  loss_TTT: 0.0314  acc: 0.6427  lr: 0.0000 
ep/it:667- 338 niter:255800  1334m 31s (- 1662m 41s) completed: 44%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0333  acc: 0.6304  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.606
ep/it:668-   5 niter:255850  1334m 52s (- 1662m 32s) completed: 44%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0318  acc: 0.6222  lr: 0.0000 
ep/it:668-  55 niter:255900  1335m 9s (- 1662m 17s) completed: 44%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0317  acc: 0.6303  lr: 0.0000 
ep/it:668- 105 niter:255950  1335m 25s (- 1662m 2s) completed: 44%) loss_emb: 0.0000  loss: 1.2301  loss_TTT: 0.0302  acc: 0.6340  lr: 0.0000 
ep/it:668- 155 niter:256000  1335m 41s (- 1661m 47s) completed: 44%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0316  acc: 0.6289  lr: 0.0000 
ep/it:668- 205 niter:256050  1335m 58s (- 1661m 33s) completed: 44%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0311  acc: 0.6287  lr: 0.0000 
ep/it:668- 255 niter:256100  1336m 15s (- 1661m 18s) completed: 44%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0312  acc: 0.6314  lr: 0.0000 
ep/it:668- 305 niter:256150  1336m 31s (- 1661m 3s) completed: 44%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0323  acc: 0.6268  lr: 0.0000 
ep/it:668- 355 niter:256200  1336m 48s (- 1660m 49s) completed: 44%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0311  acc: 0.6285  lr: 0.0000 
Validation time:
Validation loss:1.379, accuracy:0.611
ep/it:669-  22 niter:256250  1337m 8s (- 1660m 40s) completed: 44%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0319  acc: 0.6283  lr: 0.0000 
ep/it:669-  72 niter:256300  1337m 25s (- 1660m 26s) completed: 44%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0316  acc: 0.6279  lr: 0.0000 
ep/it:669- 122 niter:256350  1337m 42s (- 1660m 11s) completed: 44%) loss_emb: 0.0000  loss: 1.2227  loss_TTT: 0.0318  acc: 0.6371  lr: 0.0000 
ep/it:669- 172 niter:256400  1337m 58s (- 1659m 57s) completed: 44%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0323  acc: 0.6289  lr: 0.0000 
ep/it:669- 222 niter:256450  1338m 15s (- 1659m 42s) completed: 44%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0331  acc: 0.6256  lr: 0.0000 
ep/it:669- 272 niter:256500  1338m 31s (- 1659m 26s) completed: 44%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0316  acc: 0.6346  lr: 0.0000 
ep/it:669- 322 niter:256550  1338m 48s (- 1659m 13s) completed: 44%) loss_emb: 0.0000  loss: 1.2231  loss_TTT: 0.0317  acc: 0.6357  lr: 0.0000 
ep/it:669- 372 niter:256600  1339m 4s (- 1658m 57s) completed: 44%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0332  acc: 0.6290  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.599

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.97it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.15it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.15it/s]
100%|██████████| 47/47 [00:06<00:00,  7.29it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5388486688025296 avg: 2.5388486688025296
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5514894369989634 avg: 2.5451690529007465
--> 	 Eva. Repeat 22 :, FID. 0.1126, Diversity Real. 9.3161, Diversity. 9.8712, R_precision_real. [0.52832031 0.70703125 0.80664062], R_precision. [0.52539062 0.70605469 0.78613281], matching_score_real. 2.9238, matching_score_pred. 2.9705, skate_ratio. 0.0468, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5088 (traj_fail_50cm (Traj err)): 0.2881 (kps_fail_20cm): 0.3698 (kps_fail_50cm (Loc. err)): 0.1960 (kps_mean_err(m) (Avg. err)): 0.3401 
ep/it:670-  39 niter:256650  1339m 34s (- 1659m 0s) completed: 44%) loss_emb: 0.0000  loss: 1.2073  loss_TTT: 0.0314  acc: 0.6396  lr: 0.0000 
ep/it:670-  89 niter:256700  1339m 51s (- 1658m 45s) completed: 44%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0302  acc: 0.6282  lr: 0.0000 
ep/it:670- 139 niter:256750  1340m 7s (- 1658m 31s) completed: 44%) loss_emb: 0.0000  loss: 1.2135  loss_TTT: 0.0325  acc: 0.6376  lr: 0.0000 
ep/it:670- 189 niter:256800  1340m 24s (- 1658m 17s) completed: 44%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0308  acc: 0.6281  lr: 0.0000 
ep/it:670- 239 niter:256850  1340m 40s (- 1658m 2s) completed: 44%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0326  acc: 0.6281  lr: 0.0000 
ep/it:670- 289 niter:256900  1340m 57s (- 1657m 48s) completed: 44%) loss_emb: 0.0000  loss: 1.2619  loss_TTT: 0.0319  acc: 0.6249  lr: 0.0000 
ep/it:670- 339 niter:256950  1341m 14s (- 1657m 33s) completed: 44%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0321  acc: 0.6283  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.592
ep/it:671-   6 niter:257000  1341m 35s (- 1657m 24s) completed: 44%) loss_emb: 0.0000  loss: 1.2376  loss_TTT: 0.0314  acc: 0.6329  lr: 0.0000 
ep/it:671-  56 niter:257050  1341m 51s (- 1657m 9s) completed: 44%) loss_emb: 0.0000  loss: 1.2363  loss_TTT: 0.0318  acc: 0.6328  lr: 0.0000 
ep/it:671- 106 niter:257100  1342m 8s (- 1656m 55s) completed: 44%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0331  acc: 0.6288  lr: 0.0000 
ep/it:671- 156 niter:257150  1342m 25s (- 1656m 41s) completed: 44%) loss_emb: 0.0000  loss: 1.2242  loss_TTT: 0.0310  acc: 0.6356  lr: 0.0000 
ep/it:671- 206 niter:257200  1342m 41s (- 1656m 26s) completed: 44%) loss_emb: 0.0000  loss: 1.2309  loss_TTT: 0.0324  acc: 0.6353  lr: 0.0000 
ep/it:671- 256 niter:257250  1342m 58s (- 1656m 12s) completed: 44%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0297  acc: 0.6282  lr: 0.0000 
ep/it:671- 306 niter:257300  1343m 15s (- 1655m 58s) completed: 44%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0313  acc: 0.6356  lr: 0.0000 
ep/it:671- 356 niter:257350  1343m 32s (- 1655m 43s) completed: 44%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0314  acc: 0.6281  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.603
ep/it:672-  23 niter:257400  1343m 53s (- 1655m 34s) completed: 44%) loss_emb: 0.0000  loss: 1.2406  loss_TTT: 0.0306  acc: 0.6309  lr: 0.0000 
ep/it:672-  73 niter:257450  1344m 9s (- 1655m 20s) completed: 44%) loss_emb: 0.0000  loss: 1.2728  loss_TTT: 0.0314  acc: 0.6225  lr: 0.0000 
ep/it:672- 123 niter:257500  1344m 26s (- 1655m 5s) completed: 44%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0309  acc: 0.6325  lr: 0.0000 
ep/it:672- 173 niter:257550  1344m 44s (- 1654m 53s) completed: 44%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0312  acc: 0.6268  lr: 0.0000 
ep/it:672- 223 niter:257600  1345m 1s (- 1654m 39s) completed: 44%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0314  acc: 0.6310  lr: 0.0000 
ep/it:672- 273 niter:257650  1345m 18s (- 1654m 25s) completed: 44%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0326  acc: 0.6336  lr: 0.0000 
ep/it:672- 323 niter:257700  1345m 35s (- 1654m 10s) completed: 44%) loss_emb: 0.0000  loss: 1.2285  loss_TTT: 0.0314  acc: 0.6344  lr: 0.0000 
ep/it:672- 373 niter:257750  1345m 51s (- 1653m 56s) completed: 44%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0325  acc: 0.6313  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.587
ep/it:673-  40 niter:257800  1346m 12s (- 1653m 46s) completed: 44%) loss_emb: 0.0000  loss: 1.2358  loss_TTT: 0.0309  acc: 0.6326  lr: 0.0000 
ep/it:673-  90 niter:257850  1346m 29s (- 1653m 32s) completed: 44%) loss_emb: 0.0000  loss: 1.2327  loss_TTT: 0.0309  acc: 0.6340  lr: 0.0000 
ep/it:673- 140 niter:257900  1346m 45s (- 1653m 17s) completed: 44%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0308  acc: 0.6282  lr: 0.0000 
ep/it:673- 190 niter:257950  1347m 2s (- 1653m 3s) completed: 44%) loss_emb: 0.0000  loss: 1.2293  loss_TTT: 0.0308  acc: 0.6352  lr: 0.0000 
ep/it:673- 240 niter:258000  1347m 18s (- 1652m 48s) completed: 44%) loss_emb: 0.0000  loss: 1.2524  loss_TTT: 0.0330  acc: 0.6287  lr: 0.0000 
ep/it:673- 290 niter:258050  1347m 35s (- 1652m 34s) completed: 44%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0308  acc: 0.6300  lr: 0.0000 
ep/it:673- 340 niter:258100  1347m 52s (- 1652m 20s) completed: 44%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0320  acc: 0.6278  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.594
ep/it:674-   7 niter:258150  1348m 13s (- 1652m 10s) completed: 44%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0316  acc: 0.6265  lr: 0.0000 
ep/it:674-  57 niter:258200  1348m 30s (- 1651m 56s) completed: 44%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0326  acc: 0.6241  lr: 0.0000 
ep/it:674- 107 niter:258250  1348m 47s (- 1651m 42s) completed: 44%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0319  acc: 0.6272  lr: 0.0000 
ep/it:674- 157 niter:258300  1349m 3s (- 1651m 27s) completed: 44%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0310  acc: 0.6302  lr: 0.0000 
ep/it:674- 207 niter:258350  1349m 20s (- 1651m 13s) completed: 44%) loss_emb: 0.0000  loss: 1.2292  loss_TTT: 0.0312  acc: 0.6345  lr: 0.0000 
ep/it:674- 257 niter:258400  1349m 36s (- 1650m 58s) completed: 44%) loss_emb: 0.0000  loss: 1.2177  loss_TTT: 0.0305  acc: 0.6368  lr: 0.0000 
ep/it:674- 307 niter:258450  1349m 53s (- 1650m 44s) completed: 44%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0314  acc: 0.6297  lr: 0.0000 
ep/it:674- 357 niter:258500  1350m 10s (- 1650m 29s) completed: 44%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0314  acc: 0.6310  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.604
ep/it:675-  24 niter:258550  1350m 31s (- 1650m 20s) completed: 45%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0306  acc: 0.6256  lr: 0.0000 
ep/it:675-  74 niter:258600  1350m 48s (- 1650m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0321  acc: 0.6278  lr: 0.0000 
ep/it:675- 124 niter:258650  1351m 4s (- 1649m 52s) completed: 45%) loss_emb: 0.0000  loss: 1.2361  loss_TTT: 0.0313  acc: 0.6321  lr: 0.0000 
ep/it:675- 174 niter:258700  1351m 22s (- 1649m 38s) completed: 45%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0324  acc: 0.6306  lr: 0.0000 
ep/it:675- 224 niter:258750  1351m 39s (- 1649m 24s) completed: 45%) loss_emb: 0.0000  loss: 1.2165  loss_TTT: 0.0313  acc: 0.6380  lr: 0.0000 
ep/it:675- 274 niter:258800  1351m 56s (- 1649m 10s) completed: 45%) loss_emb: 0.0000  loss: 1.2131  loss_TTT: 0.0310  acc: 0.6386  lr: 0.0000 
ep/it:675- 324 niter:258850  1352m 12s (- 1648m 55s) completed: 45%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0328  acc: 0.6272  lr: 0.0000 
ep/it:675- 374 niter:258900  1352m 30s (- 1648m 42s) completed: 45%) loss_emb: 0.0000  loss: 1.2349  loss_TTT: 0.0308  acc: 0.6328  lr: 0.0000 
Validation time:
Validation loss:1.399, accuracy:0.605
ep/it:676-  41 niter:258950  1352m 50s (- 1648m 32s) completed: 45%) loss_emb: 0.0000  loss: 1.2403  loss_TTT: 0.0326  acc: 0.6315  lr: 0.0000 
ep/it:676-  91 niter:259000  1353m 7s (- 1648m 18s) completed: 45%) loss_emb: 0.0000  loss: 1.2155  loss_TTT: 0.0313  acc: 0.6367  lr: 0.0000 
ep/it:676- 141 niter:259050  1353m 24s (- 1648m 4s) completed: 45%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0322  acc: 0.6276  lr: 0.0000 
ep/it:676- 191 niter:259100  1353m 40s (- 1647m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0320  acc: 0.6321  lr: 0.0000 
ep/it:676- 241 niter:259150  1353m 57s (- 1647m 34s) completed: 45%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0314  acc: 0.6229  lr: 0.0000 
ep/it:676- 291 niter:259200  1354m 14s (- 1647m 20s) completed: 45%) loss_emb: 0.0000  loss: 1.2316  loss_TTT: 0.0318  acc: 0.6339  lr: 0.0000 
ep/it:676- 341 niter:259250  1354m 30s (- 1647m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.2472  loss_TTT: 0.0323  acc: 0.6301  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.591
ep/it:677-   8 niter:259300  1354m 51s (- 1646m 56s) completed: 45%) loss_emb: 0.0000  loss: 1.2194  loss_TTT: 0.0294  acc: 0.6380  lr: 0.0000 
ep/it:677-  58 niter:259350  1355m 8s (- 1646m 42s) completed: 45%) loss_emb: 0.0000  loss: 1.2332  loss_TTT: 0.0312  acc: 0.6342  lr: 0.0000 
ep/it:677- 108 niter:259400  1355m 24s (- 1646m 27s) completed: 45%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0311  acc: 0.6213  lr: 0.0000 
ep/it:677- 158 niter:259450  1355m 41s (- 1646m 13s) completed: 45%) loss_emb: 0.0000  loss: 1.2586  loss_TTT: 0.0309  acc: 0.6262  lr: 0.0000 
ep/it:677- 208 niter:259500  1355m 58s (- 1645m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.2310  loss_TTT: 0.0314  acc: 0.6337  lr: 0.0000 
ep/it:677- 258 niter:259550  1356m 15s (- 1645m 44s) completed: 45%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0321  acc: 0.6294  lr: 0.0000 
ep/it:677- 308 niter:259600  1356m 32s (- 1645m 30s) completed: 45%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0307  acc: 0.6316  lr: 0.0000 
ep/it:677- 358 niter:259650  1356m 49s (- 1645m 16s) completed: 45%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0317  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.404, accuracy:0.604
ep/it:678-  25 niter:259700  1357m 9s (- 1645m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0306  acc: 0.6309  lr: 0.0000 
ep/it:678-  75 niter:259750  1357m 27s (- 1644m 52s) completed: 45%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0322  acc: 0.6276  lr: 0.0000 
ep/it:678- 125 niter:259800  1357m 43s (- 1644m 38s) completed: 45%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0311  acc: 0.6361  lr: 0.0000 
ep/it:678- 175 niter:259850  1358m 0s (- 1644m 23s) completed: 45%) loss_emb: 0.0000  loss: 1.2353  loss_TTT: 0.0307  acc: 0.6337  lr: 0.0000 
ep/it:678- 225 niter:259900  1358m 17s (- 1644m 9s) completed: 45%) loss_emb: 0.0000  loss: 1.2516  loss_TTT: 0.0313  acc: 0.6287  lr: 0.0000 
ep/it:678- 275 niter:259950  1358m 34s (- 1643m 55s) completed: 45%) loss_emb: 0.0000  loss: 1.2251  loss_TTT: 0.0323  acc: 0.6350  lr: 0.0000 
ep/it:678- 325 niter:260000  1358m 50s (- 1643m 40s) completed: 45%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0311  acc: 0.6230  lr: 0.0000 
ep/it:678- 375 niter:260050  1359m 7s (- 1643m 26s) completed: 45%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0317  acc: 0.6282  lr: 0.0000 
Validation time:
Validation loss:1.407, accuracy:0.604
ep/it:679-  42 niter:260100  1359m 28s (- 1643m 16s) completed: 45%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0314  acc: 0.6302  lr: 0.0000 
ep/it:679-  92 niter:260150  1359m 44s (- 1643m 2s) completed: 45%) loss_emb: 0.0000  loss: 1.2237  loss_TTT: 0.0321  acc: 0.6368  lr: 0.0000 
ep/it:679- 142 niter:260200  1360m 1s (- 1642m 48s) completed: 45%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0317  acc: 0.6291  lr: 0.0000 
ep/it:679- 192 niter:260250  1360m 18s (- 1642m 33s) completed: 45%) loss_emb: 0.0000  loss: 1.2603  loss_TTT: 0.0318  acc: 0.6260  lr: 0.0000 
ep/it:679- 242 niter:260300  1360m 35s (- 1642m 19s) completed: 45%) loss_emb: 0.0000  loss: 1.2170  loss_TTT: 0.0307  acc: 0.6374  lr: 0.0000 
ep/it:679- 292 niter:260350  1360m 50s (- 1642m 3s) completed: 45%) loss_emb: 0.0000  loss: 1.2237  loss_TTT: 0.0303  acc: 0.6364  lr: 0.0000 
ep/it:679- 342 niter:260400  1361m 7s (- 1641m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0326  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.592

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.33it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.86it/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:  2.540592602919787 avg: 2.540592602919787
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5483336350880563 avg: 2.5444631190039217
--> 	 Eva. Repeat 22 :, FID. 0.1516, Diversity Real. 9.6007, Diversity. 9.8954, R_precision_real. [0.52246094 0.71777344 0.8125    ], R_precision. [0.54199219 0.71777344 0.82226562], matching_score_real. 2.8996, matching_score_pred. 2.8535, skate_ratio. 0.0416, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4756 (traj_fail_50cm (Traj err)): 0.2607 (kps_fail_20cm): 0.3305 (kps_fail_50cm (Loc. err)): 0.1702 (kps_mean_err(m) (Avg. err)): 0.3079 
ep/it:680-   9 niter:260450  1361m 36s (- 1641m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0313  acc: 0.6286  lr: 0.0000 
ep/it:680-  59 niter:260500  1361m 52s (- 1641m 34s) completed: 45%) loss_emb: 0.0000  loss: 1.2376  loss_TTT: 0.0322  acc: 0.6326  lr: 0.0000 
ep/it:680- 109 niter:260550  1362m 10s (- 1641m 21s) completed: 45%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0323  acc: 0.6264  lr: 0.0000 
ep/it:680- 159 niter:260600  1362m 27s (- 1641m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0301  acc: 0.6276  lr: 0.0000 
ep/it:680- 209 niter:260650  1362m 43s (- 1640m 52s) completed: 45%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0311  acc: 0.6315  lr: 0.0000 
ep/it:680- 259 niter:260700  1362m 59s (- 1640m 37s) completed: 45%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0322  acc: 0.6310  lr: 0.0000 
ep/it:680- 309 niter:260750  1363m 16s (- 1640m 22s) completed: 45%) loss_emb: 0.0000  loss: 1.2342  loss_TTT: 0.0329  acc: 0.6351  lr: 0.0000 
ep/it:680- 359 niter:260800  1363m 33s (- 1640m 8s) completed: 45%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0299  acc: 0.6286  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.598
ep/it:681-  26 niter:260850  1363m 53s (- 1639m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0323  acc: 0.6316  lr: 0.0000 
ep/it:681-  76 niter:260900  1364m 10s (- 1639m 43s) completed: 45%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0316  acc: 0.6248  lr: 0.0000 
ep/it:681- 126 niter:260950  1364m 26s (- 1639m 28s) completed: 45%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0330  acc: 0.6262  lr: 0.0000 
ep/it:681- 176 niter:261000  1364m 43s (- 1639m 14s) completed: 45%) loss_emb: 0.0000  loss: 1.2386  loss_TTT: 0.0312  acc: 0.6314  lr: 0.0000 
ep/it:681- 226 niter:261050  1365m 0s (- 1639m 0s) completed: 45%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0310  acc: 0.6240  lr: 0.0000 
ep/it:681- 276 niter:261100  1365m 17s (- 1638m 45s) completed: 45%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0306  acc: 0.6285  lr: 0.0000 
ep/it:681- 326 niter:261150  1365m 33s (- 1638m 31s) completed: 45%) loss_emb: 0.0000  loss: 1.2338  loss_TTT: 0.0313  acc: 0.6338  lr: 0.0000 
ep/it:681- 376 niter:261200  1365m 50s (- 1638m 16s) completed: 45%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0323  acc: 0.6341  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.591
ep/it:682-  43 niter:261250  1366m 10s (- 1638m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0309  acc: 0.6301  lr: 0.0000 
ep/it:682-  93 niter:261300  1366m 27s (- 1637m 52s) completed: 45%) loss_emb: 0.0000  loss: 1.2464  loss_TTT: 0.0325  acc: 0.6307  lr: 0.0000 
ep/it:682- 143 niter:261350  1366m 44s (- 1637m 38s) completed: 45%) loss_emb: 0.0000  loss: 1.2206  loss_TTT: 0.0321  acc: 0.6368  lr: 0.0000 
ep/it:682- 193 niter:261400  1367m 1s (- 1637m 23s) completed: 45%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0319  acc: 0.6312  lr: 0.0000 
ep/it:682- 243 niter:261450  1367m 18s (- 1637m 9s) completed: 45%) loss_emb: 0.0000  loss: 1.2200  loss_TTT: 0.0312  acc: 0.6357  lr: 0.0000 
ep/it:682- 293 niter:261500  1367m 35s (- 1636m 55s) completed: 45%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0315  acc: 0.6329  lr: 0.0000 
ep/it:682- 343 niter:261550  1367m 52s (- 1636m 40s) completed: 45%) loss_emb: 0.0000  loss: 1.2432  loss_TTT: 0.0309  acc: 0.6313  lr: 0.0000 
Validation time:
Validation loss:1.390, accuracy:0.608
ep/it:683-  10 niter:261600  1368m 12s (- 1636m 31s) completed: 45%) loss_emb: 0.0000  loss: 1.2406  loss_TTT: 0.0313  acc: 0.6312  lr: 0.0000 
ep/it:683-  60 niter:261650  1368m 29s (- 1636m 16s) completed: 45%) loss_emb: 0.0000  loss: 1.2418  loss_TTT: 0.0321  acc: 0.6319  lr: 0.0000 
ep/it:683- 110 niter:261700  1368m 46s (- 1636m 2s) completed: 45%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0329  acc: 0.6235  lr: 0.0000 
ep/it:683- 160 niter:261750  1369m 3s (- 1635m 48s) completed: 45%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0322  acc: 0.6287  lr: 0.0000 
ep/it:683- 210 niter:261800  1369m 20s (- 1635m 34s) completed: 45%) loss_emb: 0.0000  loss: 1.2314  loss_TTT: 0.0303  acc: 0.6328  lr: 0.0000 
ep/it:683- 260 niter:261850  1369m 37s (- 1635m 20s) completed: 45%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0310  acc: 0.6287  lr: 0.0000 
ep/it:683- 310 niter:261900  1369m 54s (- 1635m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0312  acc: 0.6291  lr: 0.0000 
ep/it:683- 360 niter:261950  1370m 10s (- 1634m 51s) completed: 45%) loss_emb: 0.0000  loss: 1.2598  loss_TTT: 0.0307  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.601
ep/it:684-  27 niter:262000  1370m 31s (- 1634m 41s) completed: 45%) loss_emb: 0.0000  loss: 1.2072  loss_TTT: 0.0309  acc: 0.6402  lr: 0.0000 
ep/it:684-  77 niter:262050  1370m 48s (- 1634m 27s) completed: 45%) loss_emb: 0.0000  loss: 1.2054  loss_TTT: 0.0311  acc: 0.6401  lr: 0.0000 
ep/it:684- 127 niter:262100  1371m 5s (- 1634m 13s) completed: 45%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0338  acc: 0.6227  lr: 0.0000 
ep/it:684- 177 niter:262150  1371m 22s (- 1633m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0316  acc: 0.6275  lr: 0.0000 
ep/it:684- 227 niter:262200  1371m 38s (- 1633m 44s) completed: 45%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0304  acc: 0.6265  lr: 0.0000 
ep/it:684- 277 niter:262250  1371m 56s (- 1633m 30s) completed: 45%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0302  acc: 0.6317  lr: 0.0000 
ep/it:684- 327 niter:262300  1372m 13s (- 1633m 16s) completed: 45%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0319  acc: 0.6253  lr: 0.0000 
ep/it:684- 377 niter:262350  1372m 29s (- 1633m 1s) completed: 45%) loss_emb: 0.0000  loss: 1.2393  loss_TTT: 0.0307  acc: 0.6313  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.598
ep/it:685-  44 niter:262400  1372m 50s (- 1632m 52s) completed: 45%) loss_emb: 0.0000  loss: 1.2263  loss_TTT: 0.0317  acc: 0.6355  lr: 0.0000 
ep/it:685-  94 niter:262450  1373m 7s (- 1632m 38s) completed: 45%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0327  acc: 0.6276  lr: 0.0000 
ep/it:685- 144 niter:262500  1373m 24s (- 1632m 23s) completed: 45%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0309  acc: 0.6347  lr: 0.0000 
ep/it:685- 194 niter:262550  1373m 42s (- 1632m 10s) completed: 45%) loss_emb: 0.0000  loss: 1.2377  loss_TTT: 0.0333  acc: 0.6321  lr: 0.0000 
ep/it:685- 244 niter:262600  1373m 59s (- 1631m 56s) completed: 45%) loss_emb: 0.0000  loss: 1.2556  loss_TTT: 0.0312  acc: 0.6262  lr: 0.0000 
ep/it:685- 294 niter:262650  1374m 15s (- 1631m 41s) completed: 45%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0312  acc: 0.6326  lr: 0.0000 
ep/it:685- 344 niter:262700  1374m 32s (- 1631m 27s) completed: 45%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0295  acc: 0.6309  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.598
ep/it:686-  11 niter:262750  1374m 53s (- 1631m 17s) completed: 45%) loss_emb: 0.0000  loss: 1.2221  loss_TTT: 0.0308  acc: 0.6371  lr: 0.0000 
ep/it:686-  61 niter:262800  1375m 9s (- 1631m 2s) completed: 45%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0317  acc: 0.6290  lr: 0.0000 
ep/it:686- 111 niter:262850  1375m 26s (- 1630m 48s) completed: 45%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0320  acc: 0.6306  lr: 0.0000 
ep/it:686- 161 niter:262900  1375m 43s (- 1630m 33s) completed: 45%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0318  acc: 0.6317  lr: 0.0000 
ep/it:686- 211 niter:262950  1375m 59s (- 1630m 18s) completed: 45%) loss_emb: 0.0000  loss: 1.2528  loss_TTT: 0.0306  acc: 0.6278  lr: 0.0000 
ep/it:686- 261 niter:263000  1376m 16s (- 1630m 4s) completed: 45%) loss_emb: 0.0000  loss: 1.2366  loss_TTT: 0.0321  acc: 0.6321  lr: 0.0000 
ep/it:686- 311 niter:263050  1376m 33s (- 1629m 50s) completed: 45%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0321  acc: 0.6314  lr: 0.0000 
ep/it:686- 361 niter:263100  1376m 50s (- 1629m 35s) completed: 45%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0309  acc: 0.6299  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.604
ep/it:687-  28 niter:263150  1377m 10s (- 1629m 25s) completed: 45%) loss_emb: 0.0000  loss: 1.2501  loss_TTT: 0.0320  acc: 0.6275  lr: 0.0000 
ep/it:687-  78 niter:263200  1377m 27s (- 1629m 11s) completed: 45%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0324  acc: 0.6298  lr: 0.0000 
ep/it:687- 128 niter:263250  1377m 44s (- 1628m 56s) completed: 45%) loss_emb: 0.0000  loss: 1.2565  loss_TTT: 0.0299  acc: 0.6269  lr: 0.0000 
ep/it:687- 178 niter:263300  1378m 0s (- 1628m 41s) completed: 45%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0314  acc: 0.6324  lr: 0.0000 
ep/it:687- 228 niter:263350  1378m 18s (- 1628m 28s) completed: 45%) loss_emb: 0.0000  loss: 1.2396  loss_TTT: 0.0321  acc: 0.6310  lr: 0.0000 
ep/it:687- 278 niter:263400  1378m 34s (- 1628m 13s) completed: 45%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0323  acc: 0.6242  lr: 0.0000 
ep/it:687- 328 niter:263450  1378m 51s (- 1627m 59s) completed: 45%) loss_emb: 0.0000  loss: 1.2410  loss_TTT: 0.0300  acc: 0.6318  lr: 0.0000 
ep/it:687- 378 niter:263500  1379m 7s (- 1627m 43s) completed: 45%) loss_emb: 0.0000  loss: 1.2287  loss_TTT: 0.0309  acc: 0.6350  lr: 0.0000 
Validation time:
Validation loss:1.406, accuracy:0.604
ep/it:688-  45 niter:263550  1379m 27s (- 1627m 33s) completed: 45%) loss_emb: 0.0000  loss: 1.2207  loss_TTT: 0.0313  acc: 0.6366  lr: 0.0000 
ep/it:688-  95 niter:263600  1379m 44s (- 1627m 18s) completed: 45%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0306  acc: 0.6262  lr: 0.0000 
ep/it:688- 145 niter:263650  1380m 0s (- 1627m 4s) completed: 45%) loss_emb: 0.0000  loss: 1.2462  loss_TTT: 0.0315  acc: 0.6294  lr: 0.0000 
ep/it:688- 195 niter:263700  1380m 17s (- 1626m 49s) completed: 45%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0320  acc: 0.6296  lr: 0.0000 
ep/it:688- 245 niter:263750  1380m 34s (- 1626m 35s) completed: 45%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0323  acc: 0.6284  lr: 0.0000 
ep/it:688- 295 niter:263800  1380m 51s (- 1626m 21s) completed: 45%) loss_emb: 0.0000  loss: 1.2308  loss_TTT: 0.0310  acc: 0.6329  lr: 0.0000 
ep/it:688- 345 niter:263850  1381m 7s (- 1626m 6s) completed: 45%) loss_emb: 0.0000  loss: 1.2398  loss_TTT: 0.0303  acc: 0.6315  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.600
ep/it:689-  12 niter:263900  1381m 28s (- 1625m 56s) completed: 45%) loss_emb: 0.0000  loss: 1.2374  loss_TTT: 0.0304  acc: 0.6320  lr: 0.0000 
ep/it:689-  62 niter:263950  1381m 45s (- 1625m 42s) completed: 45%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0306  acc: 0.6291  lr: 0.0000 
ep/it:689- 112 niter:264000  1382m 2s (- 1625m 27s) completed: 45%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0318  acc: 0.6346  lr: 0.0000 
ep/it:689- 162 niter:264050  1382m 19s (- 1625m 13s) completed: 45%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0312  acc: 0.6307  lr: 0.0000 
ep/it:689- 212 niter:264100  1382m 35s (- 1624m 58s) completed: 45%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0328  acc: 0.6235  lr: 0.0000 
ep/it:689- 262 niter:264150  1382m 52s (- 1624m 44s) completed: 45%) loss_emb: 0.0000  loss: 1.2393  loss_TTT: 0.0306  acc: 0.6307  lr: 0.0000 
ep/it:689- 312 niter:264200  1383m 9s (- 1624m 30s) completed: 45%) loss_emb: 0.0000  loss: 1.2259  loss_TTT: 0.0316  acc: 0.6343  lr: 0.0000 
ep/it:689- 362 niter:264250  1383m 26s (- 1624m 15s) completed: 45%) loss_emb: 0.0000  loss: 1.2428  loss_TTT: 0.0322  acc: 0.6307  lr: 0.0000 
Validation time:
Validation loss:1.410, accuracy:0.604

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.79it/s]
 34%|███▍      | 16/47 [00:03<00:07,  4.42it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.83it/s]
100%|██████████| 47/47 [00:06<00:00,  6.75it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.7817038954235613 avg: 2.7817038954235613
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.54543395107612 avg: 2.6635689232498407
--> 	 Eva. Repeat 22 :, FID. 0.1069, Diversity Real. 9.3492, Diversity. 9.8342, R_precision_real. [0.53710938 0.70800781 0.80175781], R_precision. [0.52148438 0.70410156 0.8046875 ], matching_score_real. 2.8665, matching_score_pred. 2.9915, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4746 (traj_fail_50cm (Traj err)): 0.2646 (kps_fail_20cm): 0.3416 (kps_fail_50cm (Loc. err)): 0.1744 (kps_mean_err(m) (Avg. err)): 0.3575 
ep/it:690-  29 niter:264300  1383m 54s (- 1624m 14s) completed: 46%) loss_emb: 0.0000  loss: 1.2313  loss_TTT: 0.0307  acc: 0.6336  lr: 0.0000 
ep/it:690-  79 niter:264350  1384m 11s (- 1624m 0s) completed: 46%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0314  acc: 0.6240  lr: 0.0000 
ep/it:690- 129 niter:264400  1384m 27s (- 1623m 44s) completed: 46%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0316  acc: 0.6288  lr: 0.0000 
ep/it:690- 179 niter:264450  1384m 44s (- 1623m 30s) completed: 46%) loss_emb: 0.0000  loss: 1.2327  loss_TTT: 0.0317  acc: 0.6338  lr: 0.0000 
ep/it:690- 229 niter:264500  1385m 1s (- 1623m 17s) completed: 46%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0318  acc: 0.6298  lr: 0.0000 
ep/it:690- 279 niter:264550  1385m 18s (- 1623m 3s) completed: 46%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0312  acc: 0.6292  lr: 0.0000 
ep/it:690- 329 niter:264600  1385m 35s (- 1622m 48s) completed: 46%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0310  acc: 0.6319  lr: 0.0000 
ep/it:690- 379 niter:264650  1385m 52s (- 1622m 34s) completed: 46%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0317  acc: 0.6246  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593
ep/it:691-  46 niter:264700  1386m 12s (- 1622m 23s) completed: 46%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0317  acc: 0.6314  lr: 0.0000 
ep/it:691-  96 niter:264750  1386m 30s (- 1622m 9s) completed: 46%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0309  acc: 0.6330  lr: 0.0000 
ep/it:691- 146 niter:264800  1386m 47s (- 1621m 55s) completed: 46%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0325  acc: 0.6245  lr: 0.0000 
ep/it:691- 196 niter:264850  1387m 3s (- 1621m 41s) completed: 46%) loss_emb: 0.0000  loss: 1.2400  loss_TTT: 0.0325  acc: 0.6306  lr: 0.0000 
ep/it:691- 246 niter:264900  1387m 20s (- 1621m 26s) completed: 46%) loss_emb: 0.0000  loss: 1.2250  loss_TTT: 0.0308  acc: 0.6349  lr: 0.0000 
ep/it:691- 296 niter:264950  1387m 36s (- 1621m 11s) completed: 46%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0306  acc: 0.6336  lr: 0.0000 
ep/it:691- 346 niter:265000  1387m 53s (- 1620m 57s) completed: 46%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0324  acc: 0.6349  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.605
ep/it:692-  13 niter:265050  1388m 14s (- 1620m 47s) completed: 46%) loss_emb: 0.0000  loss: 1.2260  loss_TTT: 0.0310  acc: 0.6348  lr: 0.0000 
ep/it:692-  63 niter:265100  1388m 31s (- 1620m 33s) completed: 46%) loss_emb: 0.0000  loss: 1.2285  loss_TTT: 0.0296  acc: 0.6345  lr: 0.0000 
ep/it:692- 113 niter:265150  1388m 47s (- 1620m 18s) completed: 46%) loss_emb: 0.0000  loss: 1.2276  loss_TTT: 0.0332  acc: 0.6345  lr: 0.0000 
ep/it:692- 163 niter:265200  1389m 4s (- 1620m 3s) completed: 46%) loss_emb: 0.0000  loss: 1.2007  loss_TTT: 0.0324  acc: 0.6424  lr: 0.0000 
ep/it:692- 213 niter:265250  1389m 21s (- 1619m 49s) completed: 46%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0307  acc: 0.6314  lr: 0.0000 
ep/it:692- 263 niter:265300  1389m 38s (- 1619m 35s) completed: 46%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0312  acc: 0.6284  lr: 0.0000 
ep/it:692- 313 niter:265350  1389m 55s (- 1619m 21s) completed: 46%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0313  acc: 0.6296  lr: 0.0000 
ep/it:692- 363 niter:265400  1390m 12s (- 1619m 7s) completed: 46%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0314  acc: 0.6274  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.591
ep/it:693-  30 niter:265450  1390m 33s (- 1618m 56s) completed: 46%) loss_emb: 0.0000  loss: 1.2265  loss_TTT: 0.0300  acc: 0.6355  lr: 0.0000 
ep/it:693-  80 niter:265500  1390m 49s (- 1618m 42s) completed: 46%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0318  acc: 0.6285  lr: 0.0000 
ep/it:693- 130 niter:265550  1391m 6s (- 1618m 27s) completed: 46%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0311  acc: 0.6307  lr: 0.0000 
ep/it:693- 180 niter:265600  1391m 22s (- 1618m 12s) completed: 46%) loss_emb: 0.0000  loss: 1.2163  loss_TTT: 0.0311  acc: 0.6374  lr: 0.0000 
ep/it:693- 230 niter:265650  1391m 39s (- 1617m 58s) completed: 46%) loss_emb: 0.0000  loss: 1.2302  loss_TTT: 0.0304  acc: 0.6344  lr: 0.0000 
ep/it:693- 280 niter:265700  1391m 56s (- 1617m 44s) completed: 46%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0309  acc: 0.6279  lr: 0.0000 
ep/it:693- 330 niter:265750  1392m 13s (- 1617m 30s) completed: 46%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0320  acc: 0.6263  lr: 0.0000 
ep/it:693- 380 niter:265800  1392m 30s (- 1617m 15s) completed: 46%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0315  acc: 0.6336  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.597
ep/it:694-  47 niter:265850  1392m 50s (- 1617m 5s) completed: 46%) loss_emb: 0.0000  loss: 1.2379  loss_TTT: 0.0302  acc: 0.6317  lr: 0.0000 
ep/it:694-  97 niter:265900  1393m 7s (- 1616m 50s) completed: 46%) loss_emb: 0.0000  loss: 1.2452  loss_TTT: 0.0309  acc: 0.6306  lr: 0.0000 
ep/it:694- 147 niter:265950  1393m 24s (- 1616m 35s) completed: 46%) loss_emb: 0.0000  loss: 1.2393  loss_TTT: 0.0320  acc: 0.6324  lr: 0.0000 
ep/it:694- 197 niter:266000  1393m 40s (- 1616m 21s) completed: 46%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0316  acc: 0.6319  lr: 0.0000 
ep/it:694- 247 niter:266050  1393m 58s (- 1616m 7s) completed: 46%) loss_emb: 0.0000  loss: 1.2779  loss_TTT: 0.0314  acc: 0.6211  lr: 0.0000 
ep/it:694- 297 niter:266100  1394m 15s (- 1615m 53s) completed: 46%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0321  acc: 0.6324  lr: 0.0000 
ep/it:694- 347 niter:266150  1394m 32s (- 1615m 38s) completed: 46%) loss_emb: 0.0000  loss: 1.2154  loss_TTT: 0.0312  acc: 0.6378  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.590
ep/it:695-  14 niter:266200  1394m 52s (- 1615m 28s) completed: 46%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0304  acc: 0.6298  lr: 0.0000 
ep/it:695-  64 niter:266250  1395m 8s (- 1615m 13s) completed: 46%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0315  acc: 0.6318  lr: 0.0000 
ep/it:695- 114 niter:266300  1395m 25s (- 1614m 58s) completed: 46%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0310  acc: 0.6315  lr: 0.0000 
ep/it:695- 164 niter:266350  1395m 42s (- 1614m 44s) completed: 46%) loss_emb: 0.0000  loss: 1.2515  loss_TTT: 0.0307  acc: 0.6278  lr: 0.0000 
ep/it:695- 214 niter:266400  1395m 59s (- 1614m 30s) completed: 46%) loss_emb: 0.0000  loss: 1.2198  loss_TTT: 0.0319  acc: 0.6373  lr: 0.0000 
ep/it:695- 264 niter:266450  1396m 15s (- 1614m 15s) completed: 46%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0326  acc: 0.6303  lr: 0.0000 
ep/it:695- 314 niter:266500  1396m 32s (- 1614m 1s) completed: 46%) loss_emb: 0.0000  loss: 1.2679  loss_TTT: 0.0311  acc: 0.6235  lr: 0.0000 
ep/it:695- 364 niter:266550  1396m 49s (- 1613m 47s) completed: 46%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0322  acc: 0.6275  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.607
ep/it:696-  31 niter:266600  1397m 10s (- 1613m 37s) completed: 46%) loss_emb: 0.0000  loss: 1.2194  loss_TTT: 0.0310  acc: 0.6370  lr: 0.0000 
ep/it:696-  81 niter:266650  1397m 27s (- 1613m 23s) completed: 46%) loss_emb: 0.0000  loss: 1.2297  loss_TTT: 0.0304  acc: 0.6344  lr: 0.0000 
ep/it:696- 131 niter:266700  1397m 44s (- 1613m 8s) completed: 46%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0311  acc: 0.6306  lr: 0.0000 
ep/it:696- 181 niter:266750  1398m 0s (- 1612m 53s) completed: 46%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0321  acc: 0.6263  lr: 0.0000 
ep/it:696- 231 niter:266800  1398m 17s (- 1612m 39s) completed: 46%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0315  acc: 0.6349  lr: 0.0000 
ep/it:696- 281 niter:266850  1398m 34s (- 1612m 24s) completed: 46%) loss_emb: 0.0000  loss: 1.2209  loss_TTT: 0.0309  acc: 0.6373  lr: 0.0000 
ep/it:696- 331 niter:266900  1398m 51s (- 1612m 10s) completed: 46%) loss_emb: 0.0000  loss: 1.2308  loss_TTT: 0.0311  acc: 0.6339  lr: 0.0000 
ep/it:696- 381 niter:266950  1399m 7s (- 1611m 55s) completed: 46%) loss_emb: 0.0000  loss: 1.2241  loss_TTT: 0.0314  acc: 0.6359  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.601
ep/it:697-  48 niter:267000  1399m 28s (- 1611m 45s) completed: 46%) loss_emb: 0.0000  loss: 1.2280  loss_TTT: 0.0317  acc: 0.6343  lr: 0.0000 
ep/it:697-  98 niter:267050  1399m 45s (- 1611m 31s) completed: 46%) loss_emb: 0.0000  loss: 1.2603  loss_TTT: 0.0310  acc: 0.6259  lr: 0.0000 
ep/it:697- 148 niter:267100  1400m 2s (- 1611m 16s) completed: 46%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0317  acc: 0.6317  lr: 0.0000 
ep/it:697- 198 niter:267150  1400m 18s (- 1611m 1s) completed: 46%) loss_emb: 0.0000  loss: 1.2453  loss_TTT: 0.0315  acc: 0.6295  lr: 0.0000 
ep/it:697- 248 niter:267200  1400m 35s (- 1610m 46s) completed: 46%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0300  acc: 0.6333  lr: 0.0000 
ep/it:697- 298 niter:267250  1400m 52s (- 1610m 32s) completed: 46%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0326  acc: 0.6311  lr: 0.0000 
ep/it:697- 348 niter:267300  1401m 9s (- 1610m 18s) completed: 46%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0303  acc: 0.6322  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.601
ep/it:698-  15 niter:267350  1401m 29s (- 1610m 7s) completed: 46%) loss_emb: 0.0000  loss: 1.2406  loss_TTT: 0.0319  acc: 0.6308  lr: 0.0000 
ep/it:698-  65 niter:267400  1401m 46s (- 1609m 53s) completed: 46%) loss_emb: 0.0000  loss: 1.2527  loss_TTT: 0.0319  acc: 0.6283  lr: 0.0000 
ep/it:698- 115 niter:267450  1402m 2s (- 1609m 38s) completed: 46%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0314  acc: 0.6335  lr: 0.0000 
ep/it:698- 165 niter:267500  1402m 19s (- 1609m 23s) completed: 46%) loss_emb: 0.0000  loss: 1.2185  loss_TTT: 0.0308  acc: 0.6370  lr: 0.0000 
ep/it:698- 215 niter:267550  1402m 36s (- 1609m 9s) completed: 46%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0325  acc: 0.6296  lr: 0.0000 
ep/it:698- 265 niter:267600  1402m 53s (- 1608m 55s) completed: 46%) loss_emb: 0.0000  loss: 1.2352  loss_TTT: 0.0313  acc: 0.6330  lr: 0.0000 
ep/it:698- 315 niter:267650  1403m 10s (- 1608m 40s) completed: 46%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0330  acc: 0.6268  lr: 0.0000 
ep/it:698- 365 niter:267700  1403m 26s (- 1608m 25s) completed: 46%) loss_emb: 0.0000  loss: 1.2517  loss_TTT: 0.0317  acc: 0.6268  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.600
ep/it:699-  32 niter:267750  1403m 47s (- 1608m 16s) completed: 46%) loss_emb: 0.0000  loss: 1.2335  loss_TTT: 0.0317  acc: 0.6333  lr: 0.0000 
ep/it:699-  82 niter:267800  1404m 4s (- 1608m 1s) completed: 46%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0321  acc: 0.6223  lr: 0.0000 
ep/it:699- 132 niter:267850  1404m 20s (- 1607m 46s) completed: 46%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0309  acc: 0.6255  lr: 0.0000 
ep/it:699- 182 niter:267900  1404m 38s (- 1607m 32s) completed: 46%) loss_emb: 0.0000  loss: 1.2274  loss_TTT: 0.0294  acc: 0.6347  lr: 0.0000 
ep/it:699- 232 niter:267950  1404m 54s (- 1607m 18s) completed: 46%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0302  acc: 0.6332  lr: 0.0000 
ep/it:699- 282 niter:268000  1405m 11s (- 1607m 3s) completed: 46%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0316  acc: 0.6300  lr: 0.0000 
ep/it:699- 332 niter:268050  1405m 28s (- 1606m 49s) completed: 46%) loss_emb: 0.0000  loss: 1.2251  loss_TTT: 0.0309  acc: 0.6346  lr: 0.0000 
ep/it:699- 382 niter:268100  1405m 44s (- 1606m 34s) completed: 46%) loss_emb: 0.0000  loss: 1.2424  loss_TTT: 0.0325  acc: 0.6315  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.594

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.86it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.67it/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:  2.5570283900015056 avg: 2.5570283900015056
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.550499348901212 avg: 2.553763869451359
--> 	 Eva. Repeat 22 :, FID. 0.1288, Diversity Real. 9.3919, Diversity. 9.6848, R_precision_real. [0.51855469 0.71582031 0.80078125], R_precision. [0.50878906 0.71582031 0.79785156], matching_score_real. 2.8959, matching_score_pred. 2.9674, skate_ratio. 0.0505, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4941 (traj_fail_50cm (Traj err)): 0.2588 (kps_fail_20cm): 0.3424 (kps_fail_50cm (Loc. err)): 0.1746 (kps_mean_err(m) (Avg. err)): 0.3263 
ep/it:700-  49 niter:268150  1406m 14s (- 1606m 33s) completed: 46%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0311  acc: 0.6303  lr: 0.0000 
ep/it:700-  99 niter:268200  1406m 30s (- 1606m 19s) completed: 46%) loss_emb: 0.0000  loss: 1.2427  loss_TTT: 0.0316  acc: 0.6322  lr: 0.0000 
ep/it:700- 149 niter:268250  1406m 47s (- 1606m 4s) completed: 46%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0308  acc: 0.6332  lr: 0.0000 
ep/it:700- 199 niter:268300  1407m 3s (- 1605m 49s) completed: 46%) loss_emb: 0.0000  loss: 1.2143  loss_TTT: 0.0311  acc: 0.6391  lr: 0.0000 
ep/it:700- 249 niter:268350  1407m 20s (- 1605m 35s) completed: 46%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0321  acc: 0.6236  lr: 0.0000 
ep/it:700- 299 niter:268400  1407m 37s (- 1605m 20s) completed: 46%) loss_emb: 0.0000  loss: 1.2279  loss_TTT: 0.0296  acc: 0.6353  lr: 0.0000 
ep/it:700- 349 niter:268450  1407m 54s (- 1605m 5s) completed: 46%) loss_emb: 0.0000  loss: 1.2127  loss_TTT: 0.0309  acc: 0.6386  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.593
ep/it:701-  16 niter:268500  1408m 14s (- 1604m 55s) completed: 46%) loss_emb: 0.0000  loss: 1.2398  loss_TTT: 0.0309  acc: 0.6308  lr: 0.0000 
ep/it:701-  66 niter:268550  1408m 31s (- 1604m 41s) completed: 46%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0316  acc: 0.6229  lr: 0.0000 
ep/it:701- 116 niter:268600  1408m 48s (- 1604m 26s) completed: 46%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0313  acc: 0.6317  lr: 0.0000 
ep/it:701- 166 niter:268650  1409m 4s (- 1604m 11s) completed: 46%) loss_emb: 0.0000  loss: 1.2459  loss_TTT: 0.0307  acc: 0.6297  lr: 0.0000 
ep/it:701- 216 niter:268700  1409m 21s (- 1603m 57s) completed: 46%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0323  acc: 0.6304  lr: 0.0000 
ep/it:701- 266 niter:268750  1409m 38s (- 1603m 43s) completed: 46%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0314  acc: 0.6326  lr: 0.0000 
ep/it:701- 316 niter:268800  1409m 55s (- 1603m 28s) completed: 46%) loss_emb: 0.0000  loss: 1.2400  loss_TTT: 0.0315  acc: 0.6308  lr: 0.0000 
ep/it:701- 366 niter:268850  1410m 12s (- 1603m 13s) completed: 46%) loss_emb: 0.0000  loss: 1.2292  loss_TTT: 0.0307  acc: 0.6351  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.602
ep/it:702-  33 niter:268900  1410m 32s (- 1603m 3s) completed: 46%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0308  acc: 0.6265  lr: 0.0000 
ep/it:702-  83 niter:268950  1410m 49s (- 1602m 48s) completed: 46%) loss_emb: 0.0000  loss: 1.2350  loss_TTT: 0.0315  acc: 0.6330  lr: 0.0000 
ep/it:702- 133 niter:269000  1411m 6s (- 1602m 34s) completed: 46%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0298  acc: 0.6298  lr: 0.0000 
ep/it:702- 183 niter:269050  1411m 23s (- 1602m 20s) completed: 46%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0325  acc: 0.6348  lr: 0.0000 
ep/it:702- 233 niter:269100  1411m 39s (- 1602m 5s) completed: 46%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0304  acc: 0.6274  lr: 0.0000 
ep/it:702- 283 niter:269150  1411m 56s (- 1601m 50s) completed: 46%) loss_emb: 0.0000  loss: 1.2219  loss_TTT: 0.0323  acc: 0.6359  lr: 0.0000 
ep/it:702- 333 niter:269200  1412m 12s (- 1601m 35s) completed: 46%) loss_emb: 0.0000  loss: 1.2309  loss_TTT: 0.0309  acc: 0.6340  lr: 0.0000 
Validation time:
Validation loss:1.410, accuracy:0.603
ep/it:703-   0 niter:269250  1412m 33s (- 1601m 25s) completed: 46%) loss_emb: 0.0000  loss: 1.2317  loss_TTT: 0.0310  acc: 0.6337  lr: 0.0000 
ep/it:703-  50 niter:269300  1412m 50s (- 1601m 11s) completed: 46%) loss_emb: 0.0000  loss: 1.2554  loss_TTT: 0.0309  acc: 0.6273  lr: 0.0000 
ep/it:703- 100 niter:269350  1413m 6s (- 1600m 56s) completed: 46%) loss_emb: 0.0000  loss: 1.2109  loss_TTT: 0.0302  acc: 0.6380  lr: 0.0000 
ep/it:703- 150 niter:269400  1413m 23s (- 1600m 41s) completed: 46%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0306  acc: 0.6308  lr: 0.0000 
ep/it:703- 200 niter:269450  1413m 40s (- 1600m 26s) completed: 46%) loss_emb: 0.0000  loss: 1.2380  loss_TTT: 0.0309  acc: 0.6318  lr: 0.0000 
ep/it:703- 250 niter:269500  1413m 56s (- 1600m 11s) completed: 46%) loss_emb: 0.0000  loss: 1.2322  loss_TTT: 0.0308  acc: 0.6334  lr: 0.0000 
ep/it:703- 300 niter:269550  1414m 14s (- 1599m 58s) completed: 46%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0313  acc: 0.6258  lr: 0.0000 
ep/it:703- 350 niter:269600  1414m 30s (- 1599m 42s) completed: 46%) loss_emb: 0.0000  loss: 1.2123  loss_TTT: 0.0314  acc: 0.6389  lr: 0.0000 
Validation time:
Validation loss:1.393, accuracy:0.608
ep/it:704-  17 niter:269650  1414m 50s (- 1599m 32s) completed: 46%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0322  acc: 0.6307  lr: 0.0000 
ep/it:704-  67 niter:269700  1415m 7s (- 1599m 18s) completed: 46%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0309  acc: 0.6312  lr: 0.0000 
ep/it:704- 117 niter:269750  1415m 24s (- 1599m 3s) completed: 46%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0321  acc: 0.6306  lr: 0.0000 
ep/it:704- 167 niter:269800  1415m 40s (- 1598m 48s) completed: 46%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0317  acc: 0.6226  lr: 0.0000 
ep/it:704- 217 niter:269850  1415m 57s (- 1598m 33s) completed: 46%) loss_emb: 0.0000  loss: 1.2541  loss_TTT: 0.0317  acc: 0.6270  lr: 0.0000 
ep/it:704- 267 niter:269900  1416m 13s (- 1598m 18s) completed: 46%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0298  acc: 0.6297  lr: 0.0000 
ep/it:704- 317 niter:269950  1416m 30s (- 1598m 4s) completed: 46%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0339  acc: 0.6309  lr: 0.0000 
ep/it:704- 367 niter:270000  1416m 47s (- 1597m 49s) completed: 46%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0306  acc: 0.6310  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.600
ep/it:705-  34 niter:270050  1417m 8s (- 1597m 39s) completed: 47%) loss_emb: 0.0000  loss: 1.2652  loss_TTT: 0.0309  acc: 0.6256  lr: 0.0000 
ep/it:705-  84 niter:270100  1417m 24s (- 1597m 24s) completed: 47%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0301  acc: 0.6285  lr: 0.0000 
ep/it:705- 134 niter:270150  1417m 41s (- 1597m 10s) completed: 47%) loss_emb: 0.0000  loss: 1.2436  loss_TTT: 0.0305  acc: 0.6288  lr: 0.0000 
ep/it:705- 184 niter:270200  1417m 58s (- 1596m 55s) completed: 47%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0313  acc: 0.6298  lr: 0.0000 
ep/it:705- 234 niter:270250  1418m 14s (- 1596m 40s) completed: 47%) loss_emb: 0.0000  loss: 1.2394  loss_TTT: 0.0312  acc: 0.6319  lr: 0.0000 
ep/it:705- 284 niter:270300  1418m 31s (- 1596m 25s) completed: 47%) loss_emb: 0.0000  loss: 1.2379  loss_TTT: 0.0314  acc: 0.6306  lr: 0.0000 
ep/it:705- 334 niter:270350  1418m 47s (- 1596m 10s) completed: 47%) loss_emb: 0.0000  loss: 1.2363  loss_TTT: 0.0308  acc: 0.6326  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.597
ep/it:706-   1 niter:270400  1419m 8s (- 1596m 0s) completed: 47%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0320  acc: 0.6282  lr: 0.0000 
ep/it:706-  51 niter:270450  1419m 25s (- 1595m 45s) completed: 47%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0328  acc: 0.6280  lr: 0.0000 
ep/it:706- 101 niter:270500  1419m 41s (- 1595m 30s) completed: 47%) loss_emb: 0.0000  loss: 1.2134  loss_TTT: 0.0300  acc: 0.6380  lr: 0.0000 
ep/it:706- 151 niter:270550  1419m 58s (- 1595m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.2262  loss_TTT: 0.0313  acc: 0.6365  lr: 0.0000 
ep/it:706- 201 niter:270600  1420m 14s (- 1595m 1s) completed: 47%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0312  acc: 0.6236  lr: 0.0000 
ep/it:706- 251 niter:270650  1420m 31s (- 1594m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.2629  loss_TTT: 0.0315  acc: 0.6248  lr: 0.0000 
ep/it:706- 301 niter:270700  1420m 48s (- 1594m 31s) completed: 47%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0329  acc: 0.6239  lr: 0.0000 
ep/it:706- 351 niter:270750  1421m 4s (- 1594m 16s) completed: 47%) loss_emb: 0.0000  loss: 1.2246  loss_TTT: 0.0289  acc: 0.6358  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.591
ep/it:707-  18 niter:270800  1421m 25s (- 1594m 6s) completed: 47%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0314  acc: 0.6297  lr: 0.0000 
ep/it:707-  68 niter:270850  1421m 41s (- 1593m 52s) completed: 47%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0312  acc: 0.6326  lr: 0.0000 
ep/it:707- 118 niter:270900  1421m 59s (- 1593m 38s) completed: 47%) loss_emb: 0.0000  loss: 1.2198  loss_TTT: 0.0309  acc: 0.6369  lr: 0.0000 
ep/it:707- 168 niter:270950  1422m 16s (- 1593m 24s) completed: 47%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0309  acc: 0.6235  lr: 0.0000 
ep/it:707- 218 niter:271000  1422m 33s (- 1593m 9s) completed: 47%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0326  acc: 0.6296  lr: 0.0000 
ep/it:707- 268 niter:271050  1422m 50s (- 1592m 54s) completed: 47%) loss_emb: 0.0000  loss: 1.2260  loss_TTT: 0.0321  acc: 0.6344  lr: 0.0000 
ep/it:707- 318 niter:271100  1423m 7s (- 1592m 40s) completed: 47%) loss_emb: 0.0000  loss: 1.2199  loss_TTT: 0.0302  acc: 0.6368  lr: 0.0000 
ep/it:707- 368 niter:271150  1423m 24s (- 1592m 26s) completed: 47%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0310  acc: 0.6320  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.606
ep/it:708-  35 niter:271200  1423m 44s (- 1592m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.2006  loss_TTT: 0.0316  acc: 0.6428  lr: 0.0000 
ep/it:708-  85 niter:271250  1424m 1s (- 1592m 1s) completed: 47%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0307  acc: 0.6298  lr: 0.0000 
ep/it:708- 135 niter:271300  1424m 17s (- 1591m 45s) completed: 47%) loss_emb: 0.0000  loss: 1.2129  loss_TTT: 0.0307  acc: 0.6397  lr: 0.0000 
ep/it:708- 185 niter:271350  1424m 34s (- 1591m 30s) completed: 47%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0317  acc: 0.6276  lr: 0.0000 
ep/it:708- 235 niter:271400  1424m 50s (- 1591m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0304  acc: 0.6299  lr: 0.0000 
ep/it:708- 285 niter:271450  1425m 6s (- 1591m 0s) completed: 47%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0314  acc: 0.6347  lr: 0.0000 
ep/it:708- 335 niter:271500  1425m 23s (- 1590m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0319  acc: 0.6324  lr: 0.0000 
Validation time:
Validation loss:1.397, accuracy:0.605
ep/it:709-   2 niter:271550  1425m 45s (- 1590m 36s) completed: 47%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0308  acc: 0.6302  lr: 0.0000 
ep/it:709-  52 niter:271600  1426m 1s (- 1590m 21s) completed: 47%) loss_emb: 0.0000  loss: 1.2137  loss_TTT: 0.0316  acc: 0.6386  lr: 0.0000 
ep/it:709- 102 niter:271650  1426m 18s (- 1590m 7s) completed: 47%) loss_emb: 0.0000  loss: 1.2250  loss_TTT: 0.0305  acc: 0.6358  lr: 0.0000 
ep/it:709- 152 niter:271700  1426m 34s (- 1589m 52s) completed: 47%) loss_emb: 0.0000  loss: 1.2444  loss_TTT: 0.0311  acc: 0.6304  lr: 0.0000 
ep/it:709- 202 niter:271750  1426m 51s (- 1589m 37s) completed: 47%) loss_emb: 0.0000  loss: 1.2190  loss_TTT: 0.0307  acc: 0.6377  lr: 0.0000 
ep/it:709- 252 niter:271800  1427m 7s (- 1589m 22s) completed: 47%) loss_emb: 0.0000  loss: 1.2488  loss_TTT: 0.0304  acc: 0.6296  lr: 0.0000 
ep/it:709- 302 niter:271850  1427m 25s (- 1589m 8s) completed: 47%) loss_emb: 0.0000  loss: 1.2322  loss_TTT: 0.0302  acc: 0.6333  lr: 0.0000 
ep/it:709- 352 niter:271900  1427m 41s (- 1588m 53s) completed: 47%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0317  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.597

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.56it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.66it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.98it/s]
100%|██████████| 47/47 [00:06<00:00,  6.96it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5362583701498806 avg: 2.5362583701498806
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5435726549476385 avg: 2.5399155125487596
--> 	 Eva. Repeat 22 :, FID. 0.1034, Diversity Real. 9.6100, Diversity. 9.6271, R_precision_real. [0.50585938 0.68066406 0.79394531], R_precision. [0.52441406 0.703125   0.79199219], matching_score_real. 2.8922, matching_score_pred. 2.9281, skate_ratio. 0.0467, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4941 (traj_fail_50cm (Traj err)): 0.2812 (kps_fail_20cm): 0.3589 (kps_fail_50cm (Loc. err)): 0.1857 (kps_mean_err(m) (Avg. err)): 0.3548 
ep/it:710-  19 niter:271950  1428m 10s (- 1588m 52s) completed: 47%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0316  acc: 0.6281  lr: 0.0000 
ep/it:710-  69 niter:272000  1428m 26s (- 1588m 37s) completed: 47%) loss_emb: 0.0000  loss: 1.2338  loss_TTT: 0.0305  acc: 0.6329  lr: 0.0000 
ep/it:710- 119 niter:272050  1428m 44s (- 1588m 23s) completed: 47%) loss_emb: 0.0000  loss: 1.2502  loss_TTT: 0.0322  acc: 0.6304  lr: 0.0000 
ep/it:710- 169 niter:272100  1429m 1s (- 1588m 9s) completed: 47%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0331  acc: 0.6266  lr: 0.0000 
ep/it:710- 219 niter:272150  1429m 18s (- 1587m 54s) completed: 47%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0302  acc: 0.6290  lr: 0.0000 
ep/it:710- 269 niter:272200  1429m 34s (- 1587m 39s) completed: 47%) loss_emb: 0.0000  loss: 1.2353  loss_TTT: 0.0311  acc: 0.6322  lr: 0.0000 
ep/it:710- 319 niter:272250  1429m 51s (- 1587m 24s) completed: 47%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0302  acc: 0.6269  lr: 0.0000 
ep/it:710- 369 niter:272300  1430m 7s (- 1587m 9s) completed: 47%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0312  acc: 0.6304  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.593
ep/it:711-  36 niter:272350  1430m 28s (- 1587m 0s) completed: 47%) loss_emb: 0.0000  loss: 1.2476  loss_TTT: 0.0308  acc: 0.6281  lr: 0.0000 
ep/it:711-  86 niter:272400  1430m 45s (- 1586m 45s) completed: 47%) loss_emb: 0.0000  loss: 1.2459  loss_TTT: 0.0325  acc: 0.6308  lr: 0.0000 
ep/it:711- 136 niter:272450  1431m 2s (- 1586m 31s) completed: 47%) loss_emb: 0.0000  loss: 1.2164  loss_TTT: 0.0297  acc: 0.6370  lr: 0.0000 
ep/it:711- 186 niter:272500  1431m 19s (- 1586m 17s) completed: 47%) loss_emb: 0.0000  loss: 1.2295  loss_TTT: 0.0313  acc: 0.6338  lr: 0.0000 
ep/it:711- 236 niter:272550  1431m 36s (- 1586m 2s) completed: 47%) loss_emb: 0.0000  loss: 1.2483  loss_TTT: 0.0307  acc: 0.6292  lr: 0.0000 
ep/it:711- 286 niter:272600  1431m 53s (- 1585m 47s) completed: 47%) loss_emb: 0.0000  loss: 1.2247  loss_TTT: 0.0302  acc: 0.6361  lr: 0.0000 
ep/it:711- 336 niter:272650  1432m 10s (- 1585m 33s) completed: 47%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0306  acc: 0.6286  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.595
ep/it:712-   3 niter:272700  1432m 30s (- 1585m 22s) completed: 47%) loss_emb: 0.0000  loss: 1.2559  loss_TTT: 0.0334  acc: 0.6264  lr: 0.0000 
ep/it:712-  53 niter:272750  1432m 47s (- 1585m 7s) completed: 47%) loss_emb: 0.0000  loss: 1.2275  loss_TTT: 0.0316  acc: 0.6339  lr: 0.0000 
ep/it:712- 103 niter:272800  1433m 4s (- 1584m 53s) completed: 47%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0319  acc: 0.6242  lr: 0.0000 
ep/it:712- 153 niter:272850  1433m 21s (- 1584m 39s) completed: 47%) loss_emb: 0.0000  loss: 1.2451  loss_TTT: 0.0318  acc: 0.6302  lr: 0.0000 
ep/it:712- 203 niter:272900  1433m 38s (- 1584m 24s) completed: 47%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0305  acc: 0.6303  lr: 0.0000 
ep/it:712- 253 niter:272950  1433m 55s (- 1584m 10s) completed: 47%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0318  acc: 0.6294  lr: 0.0000 
ep/it:712- 303 niter:273000  1434m 11s (- 1583m 55s) completed: 47%) loss_emb: 0.0000  loss: 1.2302  loss_TTT: 0.0307  acc: 0.6340  lr: 0.0000 
ep/it:712- 353 niter:273050  1434m 28s (- 1583m 40s) completed: 47%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0318  acc: 0.6324  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.593
ep/it:713-  20 niter:273100  1434m 48s (- 1583m 29s) completed: 47%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0319  acc: 0.6293  lr: 0.0000 
ep/it:713-  70 niter:273150  1435m 5s (- 1583m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.2122  loss_TTT: 0.0300  acc: 0.6389  lr: 0.0000 
ep/it:713- 120 niter:273200  1435m 22s (- 1583m 1s) completed: 47%) loss_emb: 0.0000  loss: 1.2302  loss_TTT: 0.0322  acc: 0.6342  lr: 0.0000 
ep/it:713- 170 niter:273250  1435m 39s (- 1582m 45s) completed: 47%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0323  acc: 0.6298  lr: 0.0000 
ep/it:713- 220 niter:273300  1435m 55s (- 1582m 30s) completed: 47%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0311  acc: 0.6290  lr: 0.0000 
ep/it:713- 270 niter:273350  1436m 11s (- 1582m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0299  acc: 0.6311  lr: 0.0000 
ep/it:713- 320 niter:273400  1436m 28s (- 1582m 1s) completed: 47%) loss_emb: 0.0000  loss: 1.2173  loss_TTT: 0.0299  acc: 0.6378  lr: 0.0000 
ep/it:713- 370 niter:273450  1436m 44s (- 1581m 45s) completed: 47%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0312  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.593
ep/it:714-  37 niter:273500  1437m 5s (- 1581m 35s) completed: 47%) loss_emb: 0.0000  loss: 1.2263  loss_TTT: 0.0308  acc: 0.6344  lr: 0.0000 
ep/it:714-  87 niter:273550  1437m 22s (- 1581m 20s) completed: 47%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0310  acc: 0.6290  lr: 0.0000 
ep/it:714- 137 niter:273600  1437m 38s (- 1581m 5s) completed: 47%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0305  acc: 0.6271  lr: 0.0000 
ep/it:714- 187 niter:273650  1437m 55s (- 1580m 51s) completed: 47%) loss_emb: 0.0000  loss: 1.2524  loss_TTT: 0.0321  acc: 0.6265  lr: 0.0000 
ep/it:714- 237 niter:273700  1438m 11s (- 1580m 35s) completed: 47%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0312  acc: 0.6262  lr: 0.0000 
ep/it:714- 287 niter:273750  1438m 28s (- 1580m 20s) completed: 47%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0308  acc: 0.6225  lr: 0.0000 
ep/it:714- 337 niter:273800  1438m 45s (- 1580m 6s) completed: 47%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0308  acc: 0.6287  lr: 0.0000 
Validation time:
Validation loss:1.401, accuracy:0.605
ep/it:715-   4 niter:273850  1439m 5s (- 1579m 55s) completed: 47%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0308  acc: 0.6311  lr: 0.0000 
ep/it:715-  54 niter:273900  1439m 22s (- 1579m 41s) completed: 47%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0297  acc: 0.6250  lr: 0.0000 
ep/it:715- 104 niter:273950  1439m 38s (- 1579m 25s) completed: 47%) loss_emb: 0.0000  loss: 1.2424  loss_TTT: 0.0316  acc: 0.6311  lr: 0.0000 
ep/it:715- 154 niter:274000  1439m 55s (- 1579m 10s) completed: 47%) loss_emb: 0.0000  loss: 1.2361  loss_TTT: 0.0320  acc: 0.6316  lr: 0.0000 
ep/it:715- 204 niter:274050  1440m 11s (- 1578m 56s) completed: 47%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0309  acc: 0.6298  lr: 0.0000 
ep/it:715- 254 niter:274100  1440m 28s (- 1578m 41s) completed: 47%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0315  acc: 0.6259  lr: 0.0000 
ep/it:715- 304 niter:274150  1440m 45s (- 1578m 26s) completed: 47%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0319  acc: 0.6287  lr: 0.0000 
ep/it:715- 354 niter:274200  1441m 2s (- 1578m 12s) completed: 47%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0330  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.593
ep/it:716-  21 niter:274250  1441m 22s (- 1578m 1s) completed: 47%) loss_emb: 0.0000  loss: 1.2226  loss_TTT: 0.0306  acc: 0.6362  lr: 0.0000 
ep/it:716-  71 niter:274300  1441m 38s (- 1577m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0315  acc: 0.6277  lr: 0.0000 
ep/it:716- 121 niter:274350  1441m 55s (- 1577m 31s) completed: 47%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0320  acc: 0.6246  lr: 0.0000 
ep/it:716- 171 niter:274400  1442m 10s (- 1577m 15s) completed: 47%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0300  acc: 0.6324  lr: 0.0000 
ep/it:716- 221 niter:274450  1442m 27s (- 1577m 0s) completed: 47%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0310  acc: 0.6321  lr: 0.0000 
ep/it:716- 271 niter:274500  1442m 44s (- 1576m 46s) completed: 47%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0317  acc: 0.6341  lr: 0.0000 
ep/it:716- 321 niter:274550  1443m 1s (- 1576m 31s) completed: 47%) loss_emb: 0.0000  loss: 1.2154  loss_TTT: 0.0307  acc: 0.6379  lr: 0.0000 
ep/it:716- 371 niter:274600  1443m 17s (- 1576m 16s) completed: 47%) loss_emb: 0.0000  loss: 1.2400  loss_TTT: 0.0302  acc: 0.6314  lr: 0.0000 
Validation time:
Validation loss:1.396, accuracy:0.606
ep/it:717-  38 niter:274650  1443m 38s (- 1576m 5s) completed: 47%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0315  acc: 0.6321  lr: 0.0000 
ep/it:717-  88 niter:274700  1443m 54s (- 1575m 50s) completed: 47%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0304  acc: 0.6290  lr: 0.0000 
ep/it:717- 138 niter:274750  1444m 11s (- 1575m 35s) completed: 47%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0320  acc: 0.6259  lr: 0.0000 
ep/it:717- 188 niter:274800  1444m 27s (- 1575m 20s) completed: 47%) loss_emb: 0.0000  loss: 1.2347  loss_TTT: 0.0315  acc: 0.6324  lr: 0.0000 
ep/it:717- 238 niter:274850  1444m 44s (- 1575m 5s) completed: 47%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0310  acc: 0.6277  lr: 0.0000 
ep/it:717- 288 niter:274900  1445m 1s (- 1574m 51s) completed: 47%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0305  acc: 0.6338  lr: 0.0000 
ep/it:717- 338 niter:274950  1445m 17s (- 1574m 36s) completed: 47%) loss_emb: 0.0000  loss: 1.2339  loss_TTT: 0.0309  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.406, accuracy:0.604
ep/it:718-   5 niter:275000  1445m 38s (- 1574m 26s) completed: 47%) loss_emb: 0.0000  loss: 1.2556  loss_TTT: 0.0307  acc: 0.6286  lr: 0.0000 
ep/it:718-  55 niter:275050  1445m 55s (- 1574m 11s) completed: 47%) loss_emb: 0.0000  loss: 1.2364  loss_TTT: 0.0316  acc: 0.6312  lr: 0.0000 
ep/it:718- 105 niter:275100  1446m 12s (- 1573m 57s) completed: 47%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0309  acc: 0.6332  lr: 0.0000 
ep/it:718- 155 niter:275150  1446m 29s (- 1573m 42s) completed: 47%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0320  acc: 0.6290  lr: 0.0000 
ep/it:718- 205 niter:275200  1446m 45s (- 1573m 27s) completed: 47%) loss_emb: 0.0000  loss: 1.2387  loss_TTT: 0.0308  acc: 0.6328  lr: 0.0000 
ep/it:718- 255 niter:275250  1447m 2s (- 1573m 12s) completed: 47%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0312  acc: 0.6276  lr: 0.0000 
ep/it:718- 305 niter:275300  1447m 19s (- 1572m 58s) completed: 47%) loss_emb: 0.0000  loss: 1.2478  loss_TTT: 0.0300  acc: 0.6297  lr: 0.0000 
ep/it:718- 355 niter:275350  1447m 36s (- 1572m 43s) completed: 47%) loss_emb: 0.0000  loss: 1.2395  loss_TTT: 0.0308  acc: 0.6304  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.601
ep/it:719-  22 niter:275400  1447m 56s (- 1572m 32s) completed: 47%) loss_emb: 0.0000  loss: 1.2261  loss_TTT: 0.0317  acc: 0.6351  lr: 0.0000 
ep/it:719-  72 niter:275450  1448m 12s (- 1572m 17s) completed: 47%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0288  acc: 0.6246  lr: 0.0000 
ep/it:719- 122 niter:275500  1448m 29s (- 1572m 2s) completed: 47%) loss_emb: 0.0000  loss: 1.2156  loss_TTT: 0.0323  acc: 0.6385  lr: 0.0000 
ep/it:719- 172 niter:275550  1448m 46s (- 1571m 48s) completed: 47%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0307  acc: 0.6292  lr: 0.0000 
ep/it:719- 222 niter:275600  1449m 3s (- 1571m 33s) completed: 47%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0316  acc: 0.6261  lr: 0.0000 
ep/it:719- 272 niter:275650  1449m 19s (- 1571m 18s) completed: 47%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0307  acc: 0.6288  lr: 0.0000 
ep/it:719- 322 niter:275700  1449m 36s (- 1571m 3s) completed: 47%) loss_emb: 0.0000  loss: 1.1992  loss_TTT: 0.0323  acc: 0.6425  lr: 0.0000 
ep/it:719- 372 niter:275750  1449m 52s (- 1570m 48s) completed: 47%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0307  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.416, accuracy:0.601

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.91it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.73it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.13it/s]
100%|██████████| 47/47 [00:06<00:00,  7.14it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.535115166567266 avg: 2.535115166567266
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5157422148622572 avg: 2.5254286907147616
--> 	 Eva. Repeat 22 :, FID. 0.1549, Diversity Real. 9.6224, Diversity. 9.7643, R_precision_real. [0.52734375 0.70117188 0.80175781], R_precision. [0.50683594 0.7109375  0.80664062], matching_score_real. 2.9092, matching_score_pred. 2.9296, skate_ratio. 0.0468, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4922 (traj_fail_50cm (Traj err)): 0.2754 (kps_fail_20cm): 0.3524 (kps_fail_50cm (Loc. err)): 0.1831 (kps_mean_err(m) (Avg. err)): 0.3430 
ep/it:720-  39 niter:275800  1450m 20s (- 1570m 46s) completed: 48%) loss_emb: 0.0000  loss: 1.2305  loss_TTT: 0.0316  acc: 0.6335  lr: 0.0000 
ep/it:720-  89 niter:275850  1450m 37s (- 1570m 31s) completed: 48%) loss_emb: 0.0000  loss: 1.2269  loss_TTT: 0.0311  acc: 0.6357  lr: 0.0000 
ep/it:720- 139 niter:275900  1450m 54s (- 1570m 17s) completed: 48%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0305  acc: 0.6286  lr: 0.0000 
ep/it:720- 189 niter:275950  1451m 11s (- 1570m 2s) completed: 48%) loss_emb: 0.0000  loss: 1.2186  loss_TTT: 0.0296  acc: 0.6372  lr: 0.0000 
ep/it:720- 239 niter:276000  1451m 27s (- 1569m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0317  acc: 0.6278  lr: 0.0000 
ep/it:720- 289 niter:276050  1451m 44s (- 1569m 32s) completed: 48%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0315  acc: 0.6260  lr: 0.0000 
ep/it:720- 339 niter:276100  1452m 1s (- 1569m 18s) completed: 48%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0314  acc: 0.6283  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.596
ep/it:721-   6 niter:276150  1452m 21s (- 1569m 6s) completed: 48%) loss_emb: 0.0000  loss: 1.2379  loss_TTT: 0.0326  acc: 0.6324  lr: 0.0000 
ep/it:721-  56 niter:276200  1452m 38s (- 1568m 52s) completed: 48%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0335  acc: 0.6242  lr: 0.0000 
ep/it:721- 106 niter:276250  1452m 55s (- 1568m 37s) completed: 48%) loss_emb: 0.0000  loss: 1.2478  loss_TTT: 0.0315  acc: 0.6290  lr: 0.0000 
ep/it:721- 156 niter:276300  1453m 11s (- 1568m 21s) completed: 48%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0321  acc: 0.6299  lr: 0.0000 
ep/it:721- 206 niter:276350  1453m 27s (- 1568m 6s) completed: 48%) loss_emb: 0.0000  loss: 1.2124  loss_TTT: 0.0303  acc: 0.6381  lr: 0.0000 
ep/it:721- 256 niter:276400  1453m 43s (- 1567m 51s) completed: 48%) loss_emb: 0.0000  loss: 1.2275  loss_TTT: 0.0289  acc: 0.6346  lr: 0.0000 
ep/it:721- 306 niter:276450  1454m 0s (- 1567m 36s) completed: 48%) loss_emb: 0.0000  loss: 1.2596  loss_TTT: 0.0315  acc: 0.6261  lr: 0.0000 
ep/it:721- 356 niter:276500  1454m 16s (- 1567m 21s) completed: 48%) loss_emb: 0.0000  loss: 1.2272  loss_TTT: 0.0298  acc: 0.6351  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.592
ep/it:722-  23 niter:276550  1454m 38s (- 1567m 11s) completed: 48%) loss_emb: 0.0000  loss: 1.2445  loss_TTT: 0.0303  acc: 0.6303  lr: 0.0000 
ep/it:722-  73 niter:276600  1454m 54s (- 1566m 57s) completed: 48%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0302  acc: 0.6297  lr: 0.0000 
ep/it:722- 123 niter:276650  1455m 11s (- 1566m 42s) completed: 48%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0300  acc: 0.6352  lr: 0.0000 
ep/it:722- 173 niter:276700  1455m 28s (- 1566m 27s) completed: 48%) loss_emb: 0.0000  loss: 1.2571  loss_TTT: 0.0319  acc: 0.6273  lr: 0.0000 
ep/it:722- 223 niter:276750  1455m 45s (- 1566m 13s) completed: 48%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0321  acc: 0.6306  lr: 0.0000 
ep/it:722- 273 niter:276800  1456m 1s (- 1565m 58s) completed: 48%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0314  acc: 0.6306  lr: 0.0000 
ep/it:722- 323 niter:276850  1456m 18s (- 1565m 43s) completed: 48%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0324  acc: 0.6322  lr: 0.0000 
ep/it:722- 373 niter:276900  1456m 35s (- 1565m 28s) completed: 48%) loss_emb: 0.0000  loss: 1.2269  loss_TTT: 0.0323  acc: 0.6352  lr: 0.0000 
Validation time:
Validation loss:1.447, accuracy:0.592
ep/it:723-  40 niter:276950  1456m 55s (- 1565m 17s) completed: 48%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0329  acc: 0.6302  lr: 0.0000 
ep/it:723-  90 niter:277000  1457m 11s (- 1565m 2s) completed: 48%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0308  acc: 0.6317  lr: 0.0000 
ep/it:723- 140 niter:277050  1457m 28s (- 1564m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.2236  loss_TTT: 0.0298  acc: 0.6357  lr: 0.0000 
ep/it:723- 190 niter:277100  1457m 44s (- 1564m 31s) completed: 48%) loss_emb: 0.0000  loss: 1.2249  loss_TTT: 0.0313  acc: 0.6361  lr: 0.0000 
ep/it:723- 240 niter:277150  1458m 1s (- 1564m 17s) completed: 48%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0328  acc: 0.6284  lr: 0.0000 
ep/it:723- 290 niter:277200  1458m 17s (- 1564m 2s) completed: 48%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0318  acc: 0.6295  lr: 0.0000 
ep/it:723- 340 niter:277250  1458m 34s (- 1563m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0307  acc: 0.6334  lr: 0.0000 
Validation time:
Validation loss:1.395, accuracy:0.609
ep/it:724-   7 niter:277300  1458m 54s (- 1563m 36s) completed: 48%) loss_emb: 0.0000  loss: 1.2348  loss_TTT: 0.0308  acc: 0.6321  lr: 0.0000 
ep/it:724-  57 niter:277350  1459m 11s (- 1563m 21s) completed: 48%) loss_emb: 0.0000  loss: 1.2134  loss_TTT: 0.0310  acc: 0.6384  lr: 0.0000 
ep/it:724- 107 niter:277400  1459m 27s (- 1563m 6s) completed: 48%) loss_emb: 0.0000  loss: 1.2138  loss_TTT: 0.0319  acc: 0.6375  lr: 0.0000 
ep/it:724- 157 niter:277450  1459m 44s (- 1562m 51s) completed: 48%) loss_emb: 0.0000  loss: 1.2378  loss_TTT: 0.0311  acc: 0.6329  lr: 0.0000 
ep/it:724- 207 niter:277500  1460m 1s (- 1562m 36s) completed: 48%) loss_emb: 0.0000  loss: 1.2330  loss_TTT: 0.0298  acc: 0.6334  lr: 0.0000 
ep/it:724- 257 niter:277550  1460m 18s (- 1562m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0311  acc: 0.6326  lr: 0.0000 
ep/it:724- 307 niter:277600  1460m 35s (- 1562m 8s) completed: 48%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0319  acc: 0.6332  lr: 0.0000 
ep/it:724- 357 niter:277650  1460m 52s (- 1561m 53s) completed: 48%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0310  acc: 0.6354  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.598
ep/it:725-  24 niter:277700  1461m 13s (- 1561m 43s) completed: 48%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0314  acc: 0.6301  lr: 0.0000 
ep/it:725-  74 niter:277750  1461m 30s (- 1561m 28s) completed: 48%) loss_emb: 0.0000  loss: 1.2159  loss_TTT: 0.0308  acc: 0.6386  lr: 0.0000 
ep/it:725- 124 niter:277800  1461m 46s (- 1561m 14s) completed: 48%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0322  acc: 0.6277  lr: 0.0000 
ep/it:725- 174 niter:277850  1462m 3s (- 1560m 59s) completed: 48%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0297  acc: 0.6265  lr: 0.0000 
ep/it:725- 224 niter:277900  1462m 20s (- 1560m 44s) completed: 48%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0309  acc: 0.6233  lr: 0.0000 
ep/it:725- 274 niter:277950  1462m 36s (- 1560m 28s) completed: 48%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0313  acc: 0.6284  lr: 0.0000 
ep/it:725- 324 niter:278000  1462m 53s (- 1560m 14s) completed: 48%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0332  acc: 0.6317  lr: 0.0000 
ep/it:725- 374 niter:278050  1463m 10s (- 1559m 59s) completed: 48%) loss_emb: 0.0000  loss: 1.2323  loss_TTT: 0.0307  acc: 0.6338  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.603
ep/it:726-  41 niter:278100  1463m 31s (- 1559m 49s) completed: 48%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0317  acc: 0.6310  lr: 0.0000 
ep/it:726-  91 niter:278150  1463m 47s (- 1559m 34s) completed: 48%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0311  acc: 0.6351  lr: 0.0000 
ep/it:726- 141 niter:278200  1464m 3s (- 1559m 19s) completed: 48%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0310  acc: 0.6241  lr: 0.0000 
ep/it:726- 191 niter:278250  1464m 20s (- 1559m 4s) completed: 48%) loss_emb: 0.0000  loss: 1.2243  loss_TTT: 0.0311  acc: 0.6353  lr: 0.0000 
ep/it:726- 241 niter:278300  1464m 36s (- 1558m 48s) completed: 48%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0317  acc: 0.6246  lr: 0.0000 
ep/it:726- 291 niter:278350  1464m 53s (- 1558m 34s) completed: 48%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0311  acc: 0.6272  lr: 0.0000 
ep/it:726- 341 niter:278400  1465m 10s (- 1558m 19s) completed: 48%) loss_emb: 0.0000  loss: 1.2324  loss_TTT: 0.0298  acc: 0.6325  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.605
ep/it:727-   8 niter:278450  1465m 31s (- 1558m 8s) completed: 48%) loss_emb: 0.0000  loss: 1.2338  loss_TTT: 0.0303  acc: 0.6331  lr: 0.0000 
ep/it:727-  58 niter:278500  1465m 47s (- 1557m 54s) completed: 48%) loss_emb: 0.0000  loss: 1.2218  loss_TTT: 0.0315  acc: 0.6369  lr: 0.0000 
ep/it:727- 108 niter:278550  1466m 5s (- 1557m 40s) completed: 48%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0310  acc: 0.6262  lr: 0.0000 
ep/it:727- 158 niter:278600  1466m 21s (- 1557m 25s) completed: 48%) loss_emb: 0.0000  loss: 1.2265  loss_TTT: 0.0304  acc: 0.6364  lr: 0.0000 
ep/it:727- 208 niter:278650  1466m 38s (- 1557m 10s) completed: 48%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0315  acc: 0.6301  lr: 0.0000 
ep/it:727- 258 niter:278700  1466m 54s (- 1556m 55s) completed: 48%) loss_emb: 0.0000  loss: 1.2286  loss_TTT: 0.0305  acc: 0.6340  lr: 0.0000 
ep/it:727- 308 niter:278750  1467m 11s (- 1556m 39s) completed: 48%) loss_emb: 0.0000  loss: 1.2038  loss_TTT: 0.0301  acc: 0.6420  lr: 0.0000 
ep/it:727- 358 niter:278800  1467m 27s (- 1556m 24s) completed: 48%) loss_emb: 0.0000  loss: 1.2236  loss_TTT: 0.0312  acc: 0.6363  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.601
ep/it:728-  25 niter:278850  1467m 48s (- 1556m 14s) completed: 48%) loss_emb: 0.0000  loss: 1.2344  loss_TTT: 0.0307  acc: 0.6337  lr: 0.0000 
ep/it:728-  75 niter:278900  1468m 4s (- 1555m 58s) completed: 48%) loss_emb: 0.0000  loss: 1.2398  loss_TTT: 0.0314  acc: 0.6302  lr: 0.0000 
ep/it:728- 125 niter:278950  1468m 21s (- 1555m 44s) completed: 48%) loss_emb: 0.0000  loss: 1.2688  loss_TTT: 0.0329  acc: 0.6246  lr: 0.0000 
ep/it:728- 175 niter:279000  1468m 37s (- 1555m 29s) completed: 48%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0327  acc: 0.6262  lr: 0.0000 
ep/it:728- 225 niter:279050  1468m 55s (- 1555m 14s) completed: 48%) loss_emb: 0.0000  loss: 1.2222  loss_TTT: 0.0314  acc: 0.6348  lr: 0.0000 
ep/it:728- 275 niter:279100  1469m 11s (- 1555m 0s) completed: 48%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0308  acc: 0.6316  lr: 0.0000 
ep/it:728- 325 niter:279150  1469m 28s (- 1554m 45s) completed: 48%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0300  acc: 0.6324  lr: 0.0000 
ep/it:728- 375 niter:279200  1469m 44s (- 1554m 30s) completed: 48%) loss_emb: 0.0000  loss: 1.2571  loss_TTT: 0.0310  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.594
ep/it:729-  42 niter:279250  1470m 5s (- 1554m 19s) completed: 48%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0311  acc: 0.6318  lr: 0.0000 
ep/it:729-  92 niter:279300  1470m 22s (- 1554m 4s) completed: 48%) loss_emb: 0.0000  loss: 1.2472  loss_TTT: 0.0307  acc: 0.6295  lr: 0.0000 
ep/it:729- 142 niter:279350  1470m 39s (- 1553m 49s) completed: 48%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0311  acc: 0.6259  lr: 0.0000 
ep/it:729- 192 niter:279400  1470m 55s (- 1553m 35s) completed: 48%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0301  acc: 0.6286  lr: 0.0000 
ep/it:729- 242 niter:279450  1471m 13s (- 1553m 21s) completed: 48%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0317  acc: 0.6318  lr: 0.0000 
ep/it:729- 292 niter:279500  1471m 30s (- 1553m 6s) completed: 48%) loss_emb: 0.0000  loss: 1.2234  loss_TTT: 0.0297  acc: 0.6355  lr: 0.0000 
ep/it:729- 342 niter:279550  1471m 46s (- 1552m 51s) completed: 48%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0321  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.601

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:17,  2.70it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.71it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.98it/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:  2.5542105501517653 avg: 2.5542105501517653
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5536274877376854 avg: 2.5539190189447254
--> 	 Eva. Repeat 22 :, FID. 0.1096, Diversity Real. 9.7191, Diversity. 9.7314, R_precision_real. [0.52539062 0.71191406 0.81054688], R_precision. [0.52929688 0.71777344 0.81152344], matching_score_real. 2.9442, matching_score_pred. 2.9377, skate_ratio. 0.0450, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4746 (traj_fail_50cm (Traj err)): 0.2568 (kps_fail_20cm): 0.3312 (kps_fail_50cm (Loc. err)): 0.1779 (kps_mean_err(m) (Avg. err)): 0.3294 
ep/it:730-   9 niter:279600  1472m 14s (- 1552m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0311  acc: 0.6274  lr: 0.0000 
ep/it:730-  59 niter:279650  1472m 30s (- 1552m 32s) completed: 48%) loss_emb: 0.0000  loss: 1.2038  loss_TTT: 0.0309  acc: 0.6412  lr: 0.0000 
ep/it:730- 109 niter:279700  1472m 47s (- 1552m 17s) completed: 48%) loss_emb: 0.0000  loss: 1.2280  loss_TTT: 0.0310  acc: 0.6356  lr: 0.0000 
ep/it:730- 159 niter:279750  1473m 3s (- 1552m 2s) completed: 48%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0310  acc: 0.6242  lr: 0.0000 
ep/it:730- 209 niter:279800  1473m 19s (- 1551m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0316  acc: 0.6216  lr: 0.0000 
ep/it:730- 259 niter:279850  1473m 36s (- 1551m 31s) completed: 48%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0305  acc: 0.6342  lr: 0.0000 
ep/it:730- 309 niter:279900  1473m 52s (- 1551m 16s) completed: 48%) loss_emb: 0.0000  loss: 1.2583  loss_TTT: 0.0322  acc: 0.6269  lr: 0.0000 
ep/it:730- 359 niter:279950  1474m 9s (- 1551m 2s) completed: 48%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0304  acc: 0.6279  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.597
ep/it:731-  26 niter:280000  1474m 29s (- 1550m 50s) completed: 48%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0314  acc: 0.6292  lr: 0.0000 
ep/it:731-  76 niter:280050  1474m 46s (- 1550m 36s) completed: 48%) loss_emb: 0.0000  loss: 1.2376  loss_TTT: 0.0300  acc: 0.6321  lr: 0.0000 
ep/it:731- 126 niter:280100  1475m 3s (- 1550m 21s) completed: 48%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0309  acc: 0.6313  lr: 0.0000 
ep/it:731- 176 niter:280150  1475m 19s (- 1550m 6s) completed: 48%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0304  acc: 0.6314  lr: 0.0000 
ep/it:731- 226 niter:280200  1475m 36s (- 1549m 51s) completed: 48%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0322  acc: 0.6225  lr: 0.0000 
ep/it:731- 276 niter:280250  1475m 53s (- 1549m 37s) completed: 48%) loss_emb: 0.0000  loss: 1.2652  loss_TTT: 0.0301  acc: 0.6248  lr: 0.0000 
ep/it:731- 326 niter:280300  1476m 10s (- 1549m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.2325  loss_TTT: 0.0304  acc: 0.6325  lr: 0.0000 
ep/it:731- 376 niter:280350  1476m 27s (- 1549m 8s) completed: 48%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0311  acc: 0.6320  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.590
ep/it:732-  43 niter:280400  1476m 48s (- 1548m 57s) completed: 48%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0315  acc: 0.6328  lr: 0.0000 
ep/it:732-  93 niter:280450  1477m 5s (- 1548m 43s) completed: 48%) loss_emb: 0.0000  loss: 1.2129  loss_TTT: 0.0296  acc: 0.6387  lr: 0.0000 
ep/it:732- 143 niter:280500  1477m 21s (- 1548m 28s) completed: 48%) loss_emb: 0.0000  loss: 1.2415  loss_TTT: 0.0316  acc: 0.6306  lr: 0.0000 
ep/it:732- 193 niter:280550  1477m 39s (- 1548m 13s) completed: 48%) loss_emb: 0.0000  loss: 1.2170  loss_TTT: 0.0308  acc: 0.6376  lr: 0.0000 
ep/it:732- 243 niter:280600  1477m 56s (- 1547m 59s) completed: 48%) loss_emb: 0.0000  loss: 1.2527  loss_TTT: 0.0304  acc: 0.6284  lr: 0.0000 
ep/it:732- 293 niter:280650  1478m 12s (- 1547m 43s) completed: 48%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0305  acc: 0.6305  lr: 0.0000 
ep/it:732- 343 niter:280700  1478m 28s (- 1547m 28s) completed: 48%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0310  acc: 0.6321  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.600
ep/it:733-  10 niter:280750  1478m 49s (- 1547m 17s) completed: 48%) loss_emb: 0.0000  loss: 1.2316  loss_TTT: 0.0314  acc: 0.6333  lr: 0.0000 
ep/it:733-  60 niter:280800  1479m 5s (- 1547m 2s) completed: 48%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0313  acc: 0.6276  lr: 0.0000 
ep/it:733- 110 niter:280850  1479m 21s (- 1546m 46s) completed: 48%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0302  acc: 0.6250  lr: 0.0000 
ep/it:733- 160 niter:280900  1479m 38s (- 1546m 32s) completed: 48%) loss_emb: 0.0000  loss: 1.2295  loss_TTT: 0.0303  acc: 0.6350  lr: 0.0000 
ep/it:733- 210 niter:280950  1479m 54s (- 1546m 16s) completed: 48%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0300  acc: 0.6312  lr: 0.0000 
ep/it:733- 260 niter:281000  1480m 11s (- 1546m 2s) completed: 48%) loss_emb: 0.0000  loss: 1.2255  loss_TTT: 0.0305  acc: 0.6351  lr: 0.0000 
ep/it:733- 310 niter:281050  1480m 28s (- 1545m 47s) completed: 48%) loss_emb: 0.0000  loss: 1.2204  loss_TTT: 0.0325  acc: 0.6362  lr: 0.0000 
ep/it:733- 360 niter:281100  1480m 45s (- 1545m 32s) completed: 48%) loss_emb: 0.0000  loss: 1.2334  loss_TTT: 0.0309  acc: 0.6337  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.605
ep/it:734-  27 niter:281150  1481m 6s (- 1545m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.2093  loss_TTT: 0.0305  acc: 0.6400  lr: 0.0000 
ep/it:734-  77 niter:281200  1481m 23s (- 1545m 7s) completed: 48%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0320  acc: 0.6299  lr: 0.0000 
ep/it:734- 127 niter:281250  1481m 39s (- 1544m 52s) completed: 48%) loss_emb: 0.0000  loss: 1.2128  loss_TTT: 0.0311  acc: 0.6377  lr: 0.0000 
ep/it:734- 177 niter:281300  1481m 56s (- 1544m 37s) completed: 48%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0311  acc: 0.6305  lr: 0.0000 
ep/it:734- 227 niter:281350  1482m 12s (- 1544m 22s) completed: 48%) loss_emb: 0.0000  loss: 1.2236  loss_TTT: 0.0320  acc: 0.6365  lr: 0.0000 
ep/it:734- 277 niter:281400  1482m 29s (- 1544m 7s) completed: 48%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0317  acc: 0.6361  lr: 0.0000 
ep/it:734- 327 niter:281450  1482m 45s (- 1543m 52s) completed: 48%) loss_emb: 0.0000  loss: 1.2375  loss_TTT: 0.0319  acc: 0.6309  lr: 0.0000 
ep/it:734- 377 niter:281500  1483m 2s (- 1543m 37s) completed: 48%) loss_emb: 0.0000  loss: 1.2562  loss_TTT: 0.0305  acc: 0.6272  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.597
ep/it:735-  44 niter:281550  1483m 23s (- 1543m 27s) completed: 49%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0305  acc: 0.6318  lr: 0.0000 
ep/it:735-  94 niter:281600  1483m 40s (- 1543m 12s) completed: 49%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0311  acc: 0.6280  lr: 0.0000 
ep/it:735- 144 niter:281650  1483m 57s (- 1542m 57s) completed: 49%) loss_emb: 0.0000  loss: 1.2196  loss_TTT: 0.0308  acc: 0.6367  lr: 0.0000 
ep/it:735- 194 niter:281700  1484m 14s (- 1542m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0322  acc: 0.6239  lr: 0.0000 
ep/it:735- 244 niter:281750  1484m 30s (- 1542m 28s) completed: 49%) loss_emb: 0.0000  loss: 1.2278  loss_TTT: 0.0307  acc: 0.6345  lr: 0.0000 
ep/it:735- 294 niter:281800  1484m 47s (- 1542m 13s) completed: 49%) loss_emb: 0.0000  loss: 1.2328  loss_TTT: 0.0310  acc: 0.6337  lr: 0.0000 
ep/it:735- 344 niter:281850  1485m 4s (- 1541m 58s) completed: 49%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0302  acc: 0.6321  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.601
ep/it:736-  11 niter:281900  1485m 24s (- 1541m 47s) completed: 49%) loss_emb: 0.0000  loss: 1.2495  loss_TTT: 0.0309  acc: 0.6287  lr: 0.0000 
ep/it:736-  61 niter:281950  1485m 41s (- 1541m 32s) completed: 49%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0314  acc: 0.6331  lr: 0.0000 
ep/it:736- 111 niter:282000  1485m 58s (- 1541m 18s) completed: 49%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0312  acc: 0.6319  lr: 0.0000 
ep/it:736- 161 niter:282050  1486m 16s (- 1541m 4s) completed: 49%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0307  acc: 0.6312  lr: 0.0000 
ep/it:736- 211 niter:282100  1486m 33s (- 1540m 50s) completed: 49%) loss_emb: 0.0000  loss: 1.2316  loss_TTT: 0.0311  acc: 0.6348  lr: 0.0000 
ep/it:736- 261 niter:282150  1486m 50s (- 1540m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0308  acc: 0.6293  lr: 0.0000 
ep/it:736- 311 niter:282200  1487m 6s (- 1540m 20s) completed: 49%) loss_emb: 0.0000  loss: 1.2290  loss_TTT: 0.0315  acc: 0.6349  lr: 0.0000 
ep/it:736- 361 niter:282250  1487m 23s (- 1540m 5s) completed: 49%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0305  acc: 0.6327  lr: 0.0000 
Validation time:
Validation loss:1.412, accuracy:0.601
ep/it:737-  28 niter:282300  1487m 44s (- 1539m 54s) completed: 49%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0296  acc: 0.6343  lr: 0.0000 
ep/it:737-  78 niter:282350  1488m 1s (- 1539m 39s) completed: 49%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0316  acc: 0.6194  lr: 0.0000 
ep/it:737- 128 niter:282400  1488m 17s (- 1539m 25s) completed: 49%) loss_emb: 0.0000  loss: 1.2325  loss_TTT: 0.0306  acc: 0.6325  lr: 0.0000 
ep/it:737- 178 niter:282450  1488m 34s (- 1539m 10s) completed: 49%) loss_emb: 0.0000  loss: 1.2231  loss_TTT: 0.0321  acc: 0.6355  lr: 0.0000 
ep/it:737- 228 niter:282500  1488m 51s (- 1538m 55s) completed: 49%) loss_emb: 0.0000  loss: 1.2396  loss_TTT: 0.0302  acc: 0.6318  lr: 0.0000 
ep/it:737- 278 niter:282550  1489m 8s (- 1538m 40s) completed: 49%) loss_emb: 0.0000  loss: 1.2516  loss_TTT: 0.0326  acc: 0.6284  lr: 0.0000 
ep/it:737- 328 niter:282600  1489m 25s (- 1538m 26s) completed: 49%) loss_emb: 0.0000  loss: 1.2281  loss_TTT: 0.0308  acc: 0.6341  lr: 0.0000 
ep/it:737- 378 niter:282650  1489m 41s (- 1538m 10s) completed: 49%) loss_emb: 0.0000  loss: 1.2300  loss_TTT: 0.0306  acc: 0.6346  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.590
ep/it:738-  45 niter:282700  1490m 2s (- 1537m 59s) completed: 49%) loss_emb: 0.0000  loss: 1.2444  loss_TTT: 0.0310  acc: 0.6290  lr: 0.0000 
ep/it:738-  95 niter:282750  1490m 18s (- 1537m 44s) completed: 49%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0312  acc: 0.6264  lr: 0.0000 
ep/it:738- 145 niter:282800  1490m 35s (- 1537m 29s) completed: 49%) loss_emb: 0.0000  loss: 1.2393  loss_TTT: 0.0306  acc: 0.6306  lr: 0.0000 
ep/it:738- 195 niter:282850  1490m 52s (- 1537m 15s) completed: 49%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0308  acc: 0.6336  lr: 0.0000 
ep/it:738- 245 niter:282900  1491m 8s (- 1537m 0s) completed: 49%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0298  acc: 0.6280  lr: 0.0000 
ep/it:738- 295 niter:282950  1491m 25s (- 1536m 45s) completed: 49%) loss_emb: 0.0000  loss: 1.2340  loss_TTT: 0.0317  acc: 0.6328  lr: 0.0000 
ep/it:738- 345 niter:283000  1491m 41s (- 1536m 30s) completed: 49%) loss_emb: 0.0000  loss: 1.2447  loss_TTT: 0.0309  acc: 0.6295  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.599
ep/it:739-  12 niter:283050  1492m 2s (- 1536m 19s) completed: 49%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0320  acc: 0.6316  lr: 0.0000 
ep/it:739-  62 niter:283100  1492m 19s (- 1536m 4s) completed: 49%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0315  acc: 0.6319  lr: 0.0000 
ep/it:739- 112 niter:283150  1492m 36s (- 1535m 49s) completed: 49%) loss_emb: 0.0000  loss: 1.2280  loss_TTT: 0.0321  acc: 0.6357  lr: 0.0000 
ep/it:739- 162 niter:283200  1492m 53s (- 1535m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.2184  loss_TTT: 0.0304  acc: 0.6368  lr: 0.0000 
ep/it:739- 212 niter:283250  1493m 11s (- 1535m 21s) completed: 49%) loss_emb: 0.0000  loss: 1.2393  loss_TTT: 0.0306  acc: 0.6297  lr: 0.0000 
ep/it:739- 262 niter:283300  1493m 27s (- 1535m 6s) completed: 49%) loss_emb: 0.0000  loss: 1.2293  loss_TTT: 0.0312  acc: 0.6348  lr: 0.0000 
ep/it:739- 312 niter:283350  1493m 45s (- 1534m 52s) completed: 49%) loss_emb: 0.0000  loss: 1.2360  loss_TTT: 0.0317  acc: 0.6318  lr: 0.0000 
ep/it:739- 362 niter:283400  1494m 1s (- 1534m 37s) completed: 49%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0306  acc: 0.6313  lr: 0.0000 
Validation time:
Validation loss:1.364, accuracy:0.617
Improved accuracy from 0.61 to 0.6167676682057588!!!

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.86it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.67it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.92it/s]
100%|██████████| 47/47 [00:06<00:00,  6.95it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.544250509236008 avg: 2.544250509236008
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5702594057656825 avg: 2.557254957500845
--> 	 Eva. Repeat 22 :, FID. 0.1177, Diversity Real. 9.6326, Diversity. 9.5858, R_precision_real. [0.48535156 0.66992188 0.77734375], R_precision. [0.50878906 0.69921875 0.79003906], matching_score_real. 3.0061, matching_score_pred. 3.0116, skate_ratio. 0.0469, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4785 (traj_fail_50cm (Traj err)): 0.2744 (kps_fail_20cm): 0.3410 (kps_fail_50cm (Loc. err)): 0.1871 (kps_mean_err(m) (Avg. err)): 0.3184 
ep/it:740-  29 niter:283450  1494m 31s (- 1534m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.2401  loss_TTT: 0.0315  acc: 0.6321  lr: 0.0000 
ep/it:740-  79 niter:283500  1494m 48s (- 1534m 21s) completed: 49%) loss_emb: 0.0000  loss: 1.2386  loss_TTT: 0.0311  acc: 0.6320  lr: 0.0000 
ep/it:740- 129 niter:283550  1495m 5s (- 1534m 7s) completed: 49%) loss_emb: 0.0000  loss: 1.2284  loss_TTT: 0.0316  acc: 0.6334  lr: 0.0000 
ep/it:740- 179 niter:283600  1495m 22s (- 1533m 51s) completed: 49%) loss_emb: 0.0000  loss: 1.2320  loss_TTT: 0.0298  acc: 0.6323  lr: 0.0000 
ep/it:740- 229 niter:283650  1495m 38s (- 1533m 36s) completed: 49%) loss_emb: 0.0000  loss: 1.2322  loss_TTT: 0.0310  acc: 0.6331  lr: 0.0000 
ep/it:740- 279 niter:283700  1495m 56s (- 1533m 22s) completed: 49%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0307  acc: 0.6294  lr: 0.0000 
ep/it:740- 329 niter:283750  1496m 13s (- 1533m 7s) completed: 49%) loss_emb: 0.0000  loss: 1.2279  loss_TTT: 0.0306  acc: 0.6342  lr: 0.0000 
ep/it:740- 379 niter:283800  1496m 30s (- 1532m 53s) completed: 49%) loss_emb: 0.0000  loss: 1.2277  loss_TTT: 0.0318  acc: 0.6335  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.596
ep/it:741-  46 niter:283850  1496m 51s (- 1532m 42s) completed: 49%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0299  acc: 0.6303  lr: 0.0000 
ep/it:741-  96 niter:283900  1497m 7s (- 1532m 27s) completed: 49%) loss_emb: 0.0000  loss: 1.2229  loss_TTT: 0.0311  acc: 0.6358  lr: 0.0000 
ep/it:741- 146 niter:283950  1497m 24s (- 1532m 12s) completed: 49%) loss_emb: 0.0000  loss: 1.2323  loss_TTT: 0.0313  acc: 0.6330  lr: 0.0000 
ep/it:741- 196 niter:284000  1497m 40s (- 1531m 57s) completed: 49%) loss_emb: 0.0000  loss: 1.2113  loss_TTT: 0.0305  acc: 0.6398  lr: 0.0000 
ep/it:741- 246 niter:284050  1497m 58s (- 1531m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0315  acc: 0.6305  lr: 0.0000 
ep/it:741- 296 niter:284100  1498m 15s (- 1531m 29s) completed: 49%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0307  acc: 0.6294  lr: 0.0000 
ep/it:741- 346 niter:284150  1498m 32s (- 1531m 14s) completed: 49%) loss_emb: 0.0000  loss: 1.2179  loss_TTT: 0.0316  acc: 0.6381  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.602
ep/it:742-  13 niter:284200  1498m 53s (- 1531m 3s) completed: 49%) loss_emb: 0.0000  loss: 1.2427  loss_TTT: 0.0322  acc: 0.6306  lr: 0.0000 
ep/it:742-  63 niter:284250  1499m 9s (- 1530m 48s) completed: 49%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0316  acc: 0.6247  lr: 0.0000 
ep/it:742- 113 niter:284300  1499m 26s (- 1530m 33s) completed: 49%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0312  acc: 0.6257  lr: 0.0000 
ep/it:742- 163 niter:284350  1499m 43s (- 1530m 18s) completed: 49%) loss_emb: 0.0000  loss: 1.2242  loss_TTT: 0.0298  acc: 0.6357  lr: 0.0000 
ep/it:742- 213 niter:284400  1499m 59s (- 1530m 3s) completed: 49%) loss_emb: 0.0000  loss: 1.2524  loss_TTT: 0.0317  acc: 0.6271  lr: 0.0000 
ep/it:742- 263 niter:284450  1500m 16s (- 1529m 48s) completed: 49%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0305  acc: 0.6299  lr: 0.0000 
ep/it:742- 313 niter:284500  1500m 32s (- 1529m 33s) completed: 49%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0310  acc: 0.6326  lr: 0.0000 
ep/it:742- 363 niter:284550  1500m 50s (- 1529m 19s) completed: 49%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0304  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.593
ep/it:743-  30 niter:284600  1501m 10s (- 1529m 8s) completed: 49%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0310  acc: 0.6303  lr: 0.0000 
ep/it:743-  80 niter:284650  1501m 27s (- 1528m 53s) completed: 49%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0300  acc: 0.6280  lr: 0.0000 
ep/it:743- 130 niter:284700  1501m 43s (- 1528m 37s) completed: 49%) loss_emb: 0.0000  loss: 1.2279  loss_TTT: 0.0303  acc: 0.6350  lr: 0.0000 
ep/it:743- 180 niter:284750  1502m 1s (- 1528m 23s) completed: 49%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0299  acc: 0.6303  lr: 0.0000 
ep/it:743- 230 niter:284800  1502m 18s (- 1528m 8s) completed: 49%) loss_emb: 0.0000  loss: 1.2339  loss_TTT: 0.0292  acc: 0.6309  lr: 0.0000 
ep/it:743- 280 niter:284850  1502m 34s (- 1527m 53s) completed: 49%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0320  acc: 0.6254  lr: 0.0000 
ep/it:743- 330 niter:284900  1502m 51s (- 1527m 39s) completed: 49%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0332  acc: 0.6242  lr: 0.0000 
ep/it:743- 380 niter:284950  1503m 8s (- 1527m 23s) completed: 49%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0313  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.600
ep/it:744-  47 niter:285000  1503m 28s (- 1527m 12s) completed: 49%) loss_emb: 0.0000  loss: 1.2236  loss_TTT: 0.0309  acc: 0.6343  lr: 0.0000 
ep/it:744-  97 niter:285050  1503m 45s (- 1526m 58s) completed: 49%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0313  acc: 0.6327  lr: 0.0000 
ep/it:744- 147 niter:285100  1504m 2s (- 1526m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.2330  loss_TTT: 0.0306  acc: 0.6326  lr: 0.0000 
ep/it:744- 197 niter:285150  1504m 18s (- 1526m 27s) completed: 49%) loss_emb: 0.0000  loss: 1.2444  loss_TTT: 0.0316  acc: 0.6310  lr: 0.0000 
ep/it:744- 247 niter:285200  1504m 35s (- 1526m 13s) completed: 49%) loss_emb: 0.0000  loss: 1.2079  loss_TTT: 0.0318  acc: 0.6405  lr: 0.0000 
ep/it:744- 297 niter:285250  1504m 52s (- 1525m 58s) completed: 49%) loss_emb: 0.0000  loss: 1.2181  loss_TTT: 0.0298  acc: 0.6364  lr: 0.0000 
ep/it:744- 347 niter:285300  1505m 8s (- 1525m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.2118  loss_TTT: 0.0315  acc: 0.6392  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.595
ep/it:745-  14 niter:285350  1505m 29s (- 1525m 32s) completed: 49%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0311  acc: 0.6299  lr: 0.0000 
ep/it:745-  64 niter:285400  1505m 46s (- 1525m 17s) completed: 49%) loss_emb: 0.0000  loss: 1.2456  loss_TTT: 0.0312  acc: 0.6297  lr: 0.0000 
ep/it:745- 114 niter:285450  1506m 2s (- 1525m 2s) completed: 49%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0298  acc: 0.6301  lr: 0.0000 
ep/it:745- 164 niter:285500  1506m 19s (- 1524m 47s) completed: 49%) loss_emb: 0.0000  loss: 1.2185  loss_TTT: 0.0333  acc: 0.6379  lr: 0.0000 
ep/it:745- 214 niter:285550  1506m 36s (- 1524m 32s) completed: 49%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0295  acc: 0.6349  lr: 0.0000 
ep/it:745- 264 niter:285600  1506m 53s (- 1524m 18s) completed: 49%) loss_emb: 0.0000  loss: 1.2264  loss_TTT: 0.0295  acc: 0.6344  lr: 0.0000 
ep/it:745- 314 niter:285650  1507m 10s (- 1524m 3s) completed: 49%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0322  acc: 0.6263  lr: 0.0000 
ep/it:745- 364 niter:285700  1507m 27s (- 1523m 48s) completed: 49%) loss_emb: 0.0000  loss: 1.2432  loss_TTT: 0.0294  acc: 0.6289  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.603
ep/it:746-  31 niter:285750  1507m 48s (- 1523m 38s) completed: 49%) loss_emb: 0.0000  loss: 1.2314  loss_TTT: 0.0299  acc: 0.6338  lr: 0.0000 
ep/it:746-  81 niter:285800  1508m 4s (- 1523m 22s) completed: 49%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0306  acc: 0.6323  lr: 0.0000 
ep/it:746- 131 niter:285850  1508m 21s (- 1523m 7s) completed: 49%) loss_emb: 0.0000  loss: 1.2364  loss_TTT: 0.0295  acc: 0.6322  lr: 0.0000 
ep/it:746- 181 niter:285900  1508m 38s (- 1522m 53s) completed: 49%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0309  acc: 0.6336  lr: 0.0000 
ep/it:746- 231 niter:285950  1508m 55s (- 1522m 38s) completed: 49%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0317  acc: 0.6292  lr: 0.0000 
ep/it:746- 281 niter:286000  1509m 11s (- 1522m 23s) completed: 49%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0311  acc: 0.6342  lr: 0.0000 
ep/it:746- 331 niter:286050  1509m 29s (- 1522m 8s) completed: 49%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0317  acc: 0.6292  lr: 0.0000 
ep/it:746- 381 niter:286100  1509m 45s (- 1521m 53s) completed: 49%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0320  acc: 0.6323  lr: 0.0000 
Validation time:
Validation loss:1.390, accuracy:0.609
ep/it:747-  48 niter:286150  1510m 5s (- 1521m 42s) completed: 49%) loss_emb: 0.0000  loss: 1.2220  loss_TTT: 0.0307  acc: 0.6362  lr: 0.0000 
ep/it:747-  98 niter:286200  1510m 23s (- 1521m 28s) completed: 49%) loss_emb: 0.0000  loss: 1.2246  loss_TTT: 0.0304  acc: 0.6347  lr: 0.0000 
ep/it:747- 148 niter:286250  1510m 39s (- 1521m 12s) completed: 49%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0317  acc: 0.6300  lr: 0.0000 
ep/it:747- 198 niter:286300  1510m 56s (- 1520m 57s) completed: 49%) loss_emb: 0.0000  loss: 1.2299  loss_TTT: 0.0279  acc: 0.6334  lr: 0.0000 
ep/it:747- 248 niter:286350  1511m 13s (- 1520m 43s) completed: 49%) loss_emb: 0.0000  loss: 1.2239  loss_TTT: 0.0299  acc: 0.6366  lr: 0.0000 
ep/it:747- 298 niter:286400  1511m 29s (- 1520m 27s) completed: 49%) loss_emb: 0.0000  loss: 1.2295  loss_TTT: 0.0315  acc: 0.6334  lr: 0.0000 
ep/it:747- 348 niter:286450  1511m 45s (- 1520m 12s) completed: 49%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0304  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.387, accuracy:0.609
ep/it:748-  15 niter:286500  1512m 6s (- 1520m 1s) completed: 49%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0304  acc: 0.6328  lr: 0.0000 
ep/it:748-  65 niter:286550  1512m 23s (- 1519m 46s) completed: 49%) loss_emb: 0.0000  loss: 1.2432  loss_TTT: 0.0302  acc: 0.6307  lr: 0.0000 
ep/it:748- 115 niter:286600  1512m 40s (- 1519m 31s) completed: 49%) loss_emb: 0.0000  loss: 1.2267  loss_TTT: 0.0308  acc: 0.6347  lr: 0.0000 
ep/it:748- 165 niter:286650  1512m 56s (- 1519m 16s) completed: 49%) loss_emb: 0.0000  loss: 1.2107  loss_TTT: 0.0307  acc: 0.6387  lr: 0.0000 
ep/it:748- 215 niter:286700  1513m 13s (- 1519m 1s) completed: 49%) loss_emb: 0.0000  loss: 1.2194  loss_TTT: 0.0317  acc: 0.6371  lr: 0.0000 
ep/it:748- 265 niter:286750  1513m 30s (- 1518m 46s) completed: 49%) loss_emb: 0.0000  loss: 1.2254  loss_TTT: 0.0309  acc: 0.6351  lr: 0.0000 
ep/it:748- 315 niter:286800  1513m 47s (- 1518m 32s) completed: 49%) loss_emb: 0.0000  loss: 1.2225  loss_TTT: 0.0304  acc: 0.6351  lr: 0.0000 
ep/it:748- 365 niter:286850  1514m 3s (- 1518m 16s) completed: 49%) loss_emb: 0.0000  loss: 1.2394  loss_TTT: 0.0309  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.399, accuracy:0.604
ep/it:749-  32 niter:286900  1514m 23s (- 1518m 5s) completed: 49%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0292  acc: 0.6260  lr: 0.0000 
ep/it:749-  82 niter:286950  1514m 40s (- 1517m 50s) completed: 49%) loss_emb: 0.0000  loss: 1.2288  loss_TTT: 0.0304  acc: 0.6349  lr: 0.0000 
ep/it:749- 132 niter:287000  1514m 57s (- 1517m 35s) completed: 49%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0318  acc: 0.6292  lr: 0.0000 
ep/it:749- 182 niter:287050  1515m 14s (- 1517m 20s) completed: 49%) loss_emb: 0.0000  loss: 1.2284  loss_TTT: 0.0305  acc: 0.6346  lr: 0.0000 
ep/it:749- 232 niter:287100  1515m 30s (- 1517m 5s) completed: 49%) loss_emb: 0.0000  loss: 1.2501  loss_TTT: 0.0302  acc: 0.6293  lr: 0.0000 
ep/it:749- 282 niter:287150  1515m 46s (- 1516m 50s) completed: 49%) loss_emb: 0.0000  loss: 1.2390  loss_TTT: 0.0312  acc: 0.6325  lr: 0.0000 
ep/it:749- 332 niter:287200  1516m 3s (- 1516m 34s) completed: 49%) loss_emb: 0.0000  loss: 1.2235  loss_TTT: 0.0315  acc: 0.6356  lr: 0.0000 
ep/it:749- 382 niter:287250  1516m 19s (- 1516m 19s) completed: 50%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0305  acc: 0.6302  lr: 0.0000 
Validation time:
Validation loss:1.378, accuracy:0.612

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.74it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.13it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.15it/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:  2.5396865671500564 avg: 2.5396865671500564
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5487422309815884 avg: 2.5442143990658224
--> 	 Eva. Repeat 22 :, FID. 0.1001, Diversity Real. 9.6958, Diversity. 9.4967, R_precision_real. [0.515625   0.70507812 0.79882812], R_precision. [0.53125    0.7109375  0.80273438], matching_score_real. 2.8855, matching_score_pred. 2.9530, skate_ratio. 0.0464, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4756 (traj_fail_50cm (Traj err)): 0.2607 (kps_fail_20cm): 0.3355 (kps_fail_50cm (Loc. err)): 0.1762 (kps_mean_err(m) (Avg. err)): 0.3385 
ep/it:750-  49 niter:287300  1516m 47s (- 1516m 15s) completed: 50%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0302  acc: 0.6332  lr: 0.0000 
ep/it:750-  99 niter:287350  1517m 3s (- 1516m 0s) completed: 50%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0315  acc: 0.6269  lr: 0.0000 
ep/it:750- 149 niter:287400  1517m 20s (- 1515m 45s) completed: 50%) loss_emb: 0.0000  loss: 1.2357  loss_TTT: 0.0306  acc: 0.6320  lr: 0.0000 
ep/it:750- 199 niter:287450  1517m 36s (- 1515m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0316  acc: 0.6299  lr: 0.0000 
ep/it:750- 249 niter:287500  1517m 53s (- 1515m 15s) completed: 50%) loss_emb: 0.0000  loss: 1.2179  loss_TTT: 0.0306  acc: 0.6369  lr: 0.0000 
ep/it:750- 299 niter:287550  1518m 10s (- 1514m 59s) completed: 50%) loss_emb: 0.0000  loss: 1.2174  loss_TTT: 0.0302  acc: 0.6367  lr: 0.0000 
ep/it:750- 349 niter:287600  1518m 26s (- 1514m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.2000  loss_TTT: 0.0304  acc: 0.6420  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.598
ep/it:751-  16 niter:287650  1518m 46s (- 1514m 33s) completed: 50%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0316  acc: 0.6337  lr: 0.0000 
ep/it:751-  66 niter:287700  1519m 3s (- 1514m 18s) completed: 50%) loss_emb: 0.0000  loss: 1.2267  loss_TTT: 0.0309  acc: 0.6346  lr: 0.0000 
ep/it:751- 116 niter:287750  1519m 19s (- 1514m 2s) completed: 50%) loss_emb: 0.0000  loss: 1.2156  loss_TTT: 0.0308  acc: 0.6380  lr: 0.0000 
ep/it:751- 166 niter:287800  1519m 35s (- 1513m 47s) completed: 50%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0301  acc: 0.6318  lr: 0.0000 
ep/it:751- 216 niter:287850  1519m 52s (- 1513m 32s) completed: 50%) loss_emb: 0.0000  loss: 1.2047  loss_TTT: 0.0304  acc: 0.6413  lr: 0.0000 
ep/it:751- 266 niter:287900  1520m 9s (- 1513m 17s) completed: 50%) loss_emb: 0.0000  loss: 1.2377  loss_TTT: 0.0299  acc: 0.6317  lr: 0.0000 
ep/it:751- 316 niter:287950  1520m 26s (- 1513m 3s) completed: 50%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0321  acc: 0.6226  lr: 0.0000 
ep/it:751- 366 niter:288000  1520m 43s (- 1512m 48s) completed: 50%) loss_emb: 0.0000  loss: 1.2369  loss_TTT: 0.0319  acc: 0.6321  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.596
ep/it:752-  33 niter:288050  1521m 4s (- 1512m 37s) completed: 50%) loss_emb: 0.0000  loss: 1.2249  loss_TTT: 0.0304  acc: 0.6351  lr: 0.0000 
ep/it:752-  83 niter:288100  1521m 21s (- 1512m 22s) completed: 50%) loss_emb: 0.0000  loss: 1.2407  loss_TTT: 0.0303  acc: 0.6311  lr: 0.0000 
ep/it:752- 133 niter:288150  1521m 38s (- 1512m 7s) completed: 50%) loss_emb: 0.0000  loss: 1.2180  loss_TTT: 0.0313  acc: 0.6373  lr: 0.0000 
ep/it:752- 183 niter:288200  1521m 54s (- 1511m 52s) completed: 50%) loss_emb: 0.0000  loss: 1.2337  loss_TTT: 0.0309  acc: 0.6327  lr: 0.0000 
ep/it:752- 233 niter:288250  1522m 11s (- 1511m 37s) completed: 50%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0310  acc: 0.6310  lr: 0.0000 
ep/it:752- 283 niter:288300  1522m 27s (- 1511m 22s) completed: 50%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0314  acc: 0.6297  lr: 0.0000 
ep/it:752- 333 niter:288350  1522m 44s (- 1511m 7s) completed: 50%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0309  acc: 0.6296  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.593
ep/it:753-   0 niter:288400  1523m 5s (- 1510m 56s) completed: 50%) loss_emb: 0.0000  loss: 1.2315  loss_TTT: 0.0308  acc: 0.6342  lr: 0.0000 
ep/it:753-  50 niter:288450  1523m 22s (- 1510m 41s) completed: 50%) loss_emb: 0.0000  loss: 1.2206  loss_TTT: 0.0309  acc: 0.6363  lr: 0.0000 
ep/it:753- 100 niter:288500  1523m 38s (- 1510m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.2294  loss_TTT: 0.0307  acc: 0.6339  lr: 0.0000 
ep/it:753- 150 niter:288550  1523m 55s (- 1510m 11s) completed: 50%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0321  acc: 0.6264  lr: 0.0000 
ep/it:753- 200 niter:288600  1524m 12s (- 1509m 56s) completed: 50%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0307  acc: 0.6260  lr: 0.0000 
ep/it:753- 250 niter:288650  1524m 29s (- 1509m 41s) completed: 50%) loss_emb: 0.0000  loss: 1.2131  loss_TTT: 0.0306  acc: 0.6386  lr: 0.0000 
ep/it:753- 300 niter:288700  1524m 45s (- 1509m 27s) completed: 50%) loss_emb: 0.0000  loss: 1.2343  loss_TTT: 0.0310  acc: 0.6317  lr: 0.0000 
ep/it:753- 350 niter:288750  1525m 2s (- 1509m 11s) completed: 50%) loss_emb: 0.0000  loss: 1.2283  loss_TTT: 0.0304  acc: 0.6345  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.590
ep/it:754-  17 niter:288800  1525m 23s (- 1509m 1s) completed: 50%) loss_emb: 0.0000  loss: 1.2130  loss_TTT: 0.0310  acc: 0.6393  lr: 0.0000 
ep/it:754-  67 niter:288850  1525m 40s (- 1508m 45s) completed: 50%) loss_emb: 0.0000  loss: 1.2447  loss_TTT: 0.0306  acc: 0.6310  lr: 0.0000 
ep/it:754- 117 niter:288900  1525m 56s (- 1508m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0312  acc: 0.6307  lr: 0.0000 
ep/it:754- 167 niter:288950  1526m 12s (- 1508m 15s) completed: 50%) loss_emb: 0.0000  loss: 1.2282  loss_TTT: 0.0314  acc: 0.6345  lr: 0.0000 
ep/it:754- 217 niter:289000  1526m 29s (- 1508m 0s) completed: 50%) loss_emb: 0.0000  loss: 1.2232  loss_TTT: 0.0296  acc: 0.6349  lr: 0.0000 
ep/it:754- 267 niter:289050  1526m 45s (- 1507m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.2335  loss_TTT: 0.0294  acc: 0.6329  lr: 0.0000 
ep/it:754- 317 niter:289100  1527m 1s (- 1507m 29s) completed: 50%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0307  acc: 0.6270  lr: 0.0000 
ep/it:754- 367 niter:289150  1527m 18s (- 1507m 14s) completed: 50%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0306  acc: 0.6295  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.603
ep/it:755-  34 niter:289200  1527m 38s (- 1507m 1s) completed: 50%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0313  acc: 0.6289  lr: 0.0000 
ep/it:755-  84 niter:289250  1527m 54s (- 1506m 46s) completed: 50%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0316  acc: 0.6323  lr: 0.0000 
ep/it:755- 134 niter:289300  1528m 10s (- 1506m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.2277  loss_TTT: 0.0310  acc: 0.6329  lr: 0.0000 
ep/it:755- 184 niter:289350  1528m 26s (- 1506m 15s) completed: 50%) loss_emb: 0.0000  loss: 1.2302  loss_TTT: 0.0313  acc: 0.6341  lr: 0.0000 
ep/it:755- 234 niter:289400  1528m 42s (- 1505m 59s) completed: 50%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0312  acc: 0.6318  lr: 0.0000 
ep/it:755- 284 niter:289450  1528m 58s (- 1505m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0318  acc: 0.6293  lr: 0.0000 
ep/it:755- 334 niter:289500  1529m 14s (- 1505m 28s) completed: 50%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0300  acc: 0.6334  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.606
ep/it:756-   1 niter:289550  1529m 35s (- 1505m 17s) completed: 50%) loss_emb: 0.0000  loss: 1.2296  loss_TTT: 0.0298  acc: 0.6348  lr: 0.0000 
ep/it:756-  51 niter:289600  1529m 51s (- 1505m 1s) completed: 50%) loss_emb: 0.0000  loss: 1.2411  loss_TTT: 0.0319  acc: 0.6321  lr: 0.0000 
ep/it:756- 101 niter:289650  1530m 7s (- 1504m 46s) completed: 50%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0311  acc: 0.6296  lr: 0.0000 
ep/it:756- 151 niter:289700  1530m 23s (- 1504m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.2447  loss_TTT: 0.0305  acc: 0.6297  lr: 0.0000 
ep/it:756- 201 niter:289750  1530m 39s (- 1504m 14s) completed: 50%) loss_emb: 0.0000  loss: 1.2506  loss_TTT: 0.0313  acc: 0.6287  lr: 0.0000 
ep/it:756- 251 niter:289800  1530m 56s (- 1503m 59s) completed: 50%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0307  acc: 0.6303  lr: 0.0000 
ep/it:756- 301 niter:289850  1531m 12s (- 1503m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0319  acc: 0.6307  lr: 0.0000 
ep/it:756- 351 niter:289900  1531m 28s (- 1503m 28s) completed: 50%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0318  acc: 0.6305  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.591
ep/it:757-  18 niter:289950  1531m 48s (- 1503m 16s) completed: 50%) loss_emb: 0.0000  loss: 1.2272  loss_TTT: 0.0309  acc: 0.6332  lr: 0.0000 
ep/it:757-  68 niter:290000  1532m 4s (- 1503m 1s) completed: 50%) loss_emb: 0.0000  loss: 1.2322  loss_TTT: 0.0324  acc: 0.6322  lr: 0.0000 
ep/it:757- 118 niter:290050  1532m 21s (- 1502m 46s) completed: 50%) loss_emb: 0.0000  loss: 1.2397  loss_TTT: 0.0293  acc: 0.6305  lr: 0.0000 
ep/it:757- 168 niter:290100  1532m 38s (- 1502m 31s) completed: 50%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0301  acc: 0.6306  lr: 0.0000 
ep/it:757- 218 niter:290150  1532m 54s (- 1502m 15s) completed: 50%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0311  acc: 0.6305  lr: 0.0000 
ep/it:757- 268 niter:290200  1533m 10s (- 1502m 0s) completed: 50%) loss_emb: 0.0000  loss: 1.2387  loss_TTT: 0.0306  acc: 0.6318  lr: 0.0000 
ep/it:757- 318 niter:290250  1533m 26s (- 1501m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.2310  loss_TTT: 0.0309  acc: 0.6330  lr: 0.0000 
ep/it:757- 368 niter:290300  1533m 43s (- 1501m 29s) completed: 50%) loss_emb: 0.0000  loss: 1.2234  loss_TTT: 0.0308  acc: 0.6355  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.606
ep/it:758-  35 niter:290350  1534m 2s (- 1501m 17s) completed: 50%) loss_emb: 0.0000  loss: 1.2384  loss_TTT: 0.0293  acc: 0.6313  lr: 0.0000 
ep/it:758-  85 niter:290400  1534m 19s (- 1501m 2s) completed: 50%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0301  acc: 0.6288  lr: 0.0000 
ep/it:758- 135 niter:290450  1534m 35s (- 1500m 46s) completed: 50%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0314  acc: 0.6274  lr: 0.0000 
ep/it:758- 185 niter:290500  1534m 51s (- 1500m 31s) completed: 50%) loss_emb: 0.0000  loss: 1.2262  loss_TTT: 0.0302  acc: 0.6355  lr: 0.0000 
ep/it:758- 235 niter:290550  1535m 8s (- 1500m 15s) completed: 50%) loss_emb: 0.0000  loss: 1.2082  loss_TTT: 0.0304  acc: 0.6388  lr: 0.0000 
ep/it:758- 285 niter:290600  1535m 24s (- 1500m 0s) completed: 50%) loss_emb: 0.0000  loss: 1.2138  loss_TTT: 0.0314  acc: 0.6383  lr: 0.0000 
ep/it:758- 335 niter:290650  1535m 40s (- 1499m 45s) completed: 50%) loss_emb: 0.0000  loss: 1.2200  loss_TTT: 0.0333  acc: 0.6371  lr: 0.0000 
Validation time:
Validation loss:1.399, accuracy:0.607
ep/it:759-   2 niter:290700  1536m 1s (- 1499m 33s) completed: 50%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0302  acc: 0.6273  lr: 0.0000 
ep/it:759-  52 niter:290750  1536m 17s (- 1499m 18s) completed: 50%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0320  acc: 0.6291  lr: 0.0000 
ep/it:759- 102 niter:290800  1536m 33s (- 1499m 2s) completed: 50%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0305  acc: 0.6298  lr: 0.0000 
ep/it:759- 152 niter:290850  1536m 49s (- 1498m 46s) completed: 50%) loss_emb: 0.0000  loss: 1.2330  loss_TTT: 0.0308  acc: 0.6328  lr: 0.0000 
ep/it:759- 202 niter:290900  1537m 5s (- 1498m 31s) completed: 50%) loss_emb: 0.0000  loss: 1.2006  loss_TTT: 0.0305  acc: 0.6429  lr: 0.0000 
ep/it:759- 252 niter:290950  1537m 22s (- 1498m 16s) completed: 50%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0305  acc: 0.6298  lr: 0.0000 
ep/it:759- 302 niter:291000  1537m 38s (- 1498m 0s) completed: 50%) loss_emb: 0.0000  loss: 1.2385  loss_TTT: 0.0304  acc: 0.6318  lr: 0.0000 
ep/it:759- 352 niter:291050  1537m 55s (- 1497m 45s) completed: 50%) loss_emb: 0.0000  loss: 1.2406  loss_TTT: 0.0299  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.607

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.04it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.75it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.13it/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:  2.5262258858419955 avg: 2.5262258858419955
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5402132770977914 avg: 2.5332195814698935
--> 	 Eva. Repeat 22 :, FID. 0.1492, Diversity Real. 9.3397, Diversity. 10.0810, R_precision_real. [0.5234375  0.70214844 0.78808594], R_precision. [0.50488281 0.69335938 0.8046875 ], matching_score_real. 2.9046, matching_score_pred. 2.8852, skate_ratio. 0.0431, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4902 (traj_fail_50cm (Traj err)): 0.2705 (kps_fail_20cm): 0.3481 (kps_fail_50cm (Loc. err)): 0.1850 (kps_mean_err(m) (Avg. err)): 0.3322 
ep/it:760-  19 niter:291100  1538m 23s (- 1497m 41s) completed: 50%) loss_emb: 0.0000  loss: 1.2090  loss_TTT: 0.0311  acc: 0.6391  lr: 0.0000 
ep/it:760-  69 niter:291150  1538m 39s (- 1497m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.2366  loss_TTT: 0.0309  acc: 0.6328  lr: 0.0000 
ep/it:760- 119 niter:291200  1538m 56s (- 1497m 11s) completed: 50%) loss_emb: 0.0000  loss: 1.2121  loss_TTT: 0.0301  acc: 0.6378  lr: 0.0000 
ep/it:760- 169 niter:291250  1539m 12s (- 1496m 56s) completed: 50%) loss_emb: 0.0000  loss: 1.2108  loss_TTT: 0.0302  acc: 0.6380  lr: 0.0000 
ep/it:760- 219 niter:291300  1539m 29s (- 1496m 40s) completed: 50%) loss_emb: 0.0000  loss: 1.2210  loss_TTT: 0.0307  acc: 0.6355  lr: 0.0000 
ep/it:760- 269 niter:291350  1539m 45s (- 1496m 25s) completed: 50%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0309  acc: 0.6304  lr: 0.0000 
ep/it:760- 319 niter:291400  1540m 1s (- 1496m 9s) completed: 50%) loss_emb: 0.0000  loss: 1.2379  loss_TTT: 0.0297  acc: 0.6320  lr: 0.0000 
ep/it:760- 369 niter:291450  1540m 17s (- 1495m 53s) completed: 50%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0312  acc: 0.6310  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.599
ep/it:761-  36 niter:291500  1540m 37s (- 1495m 42s) completed: 50%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0315  acc: 0.6242  lr: 0.0000 
ep/it:761-  86 niter:291550  1540m 54s (- 1495m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0308  acc: 0.6270  lr: 0.0000 
ep/it:761- 136 niter:291600  1541m 10s (- 1495m 12s) completed: 50%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0307  acc: 0.6272  lr: 0.0000 
ep/it:761- 186 niter:291650  1541m 27s (- 1494m 57s) completed: 50%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0307  acc: 0.6302  lr: 0.0000 
ep/it:761- 236 niter:291700  1541m 44s (- 1494m 41s) completed: 50%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0311  acc: 0.6333  lr: 0.0000 
ep/it:761- 286 niter:291750  1542m 0s (- 1494m 26s) completed: 50%) loss_emb: 0.0000  loss: 1.2182  loss_TTT: 0.0300  acc: 0.6368  lr: 0.0000 
ep/it:761- 336 niter:291800  1542m 16s (- 1494m 10s) completed: 50%) loss_emb: 0.0000  loss: 1.2323  loss_TTT: 0.0296  acc: 0.6334  lr: 0.0000 
Validation time:
Validation loss:1.408, accuracy:0.603
ep/it:762-   3 niter:291850  1542m 36s (- 1493m 58s) completed: 50%) loss_emb: 0.0000  loss: 1.2324  loss_TTT: 0.0311  acc: 0.6337  lr: 0.0000 
ep/it:762-  53 niter:291900  1542m 52s (- 1493m 43s) completed: 50%) loss_emb: 0.0000  loss: 1.2151  loss_TTT: 0.0321  acc: 0.6387  lr: 0.0000 
ep/it:762- 103 niter:291950  1543m 9s (- 1493m 28s) completed: 50%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0312  acc: 0.6242  lr: 0.0000 
ep/it:762- 153 niter:292000  1543m 25s (- 1493m 12s) completed: 50%) loss_emb: 0.0000  loss: 1.2118  loss_TTT: 0.0300  acc: 0.6387  lr: 0.0000 
ep/it:762- 203 niter:292050  1543m 42s (- 1492m 57s) completed: 50%) loss_emb: 0.0000  loss: 1.2207  loss_TTT: 0.0300  acc: 0.6353  lr: 0.0000 
ep/it:762- 253 niter:292100  1543m 58s (- 1492m 42s) completed: 50%) loss_emb: 0.0000  loss: 1.2082  loss_TTT: 0.0303  acc: 0.6397  lr: 0.0000 
ep/it:762- 303 niter:292150  1544m 15s (- 1492m 27s) completed: 50%) loss_emb: 0.0000  loss: 1.2188  loss_TTT: 0.0301  acc: 0.6371  lr: 0.0000 
ep/it:762- 353 niter:292200  1544m 31s (- 1492m 11s) completed: 50%) loss_emb: 0.0000  loss: 1.2387  loss_TTT: 0.0304  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.599
ep/it:763-  20 niter:292250  1544m 51s (- 1491m 59s) completed: 50%) loss_emb: 0.0000  loss: 1.2504  loss_TTT: 0.0309  acc: 0.6290  lr: 0.0000 
ep/it:763-  70 niter:292300  1545m 7s (- 1491m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.2121  loss_TTT: 0.0303  acc: 0.6390  lr: 0.0000 
ep/it:763- 120 niter:292350  1545m 23s (- 1491m 28s) completed: 50%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0309  acc: 0.6266  lr: 0.0000 
ep/it:763- 170 niter:292400  1545m 40s (- 1491m 13s) completed: 50%) loss_emb: 0.0000  loss: 1.2252  loss_TTT: 0.0297  acc: 0.6354  lr: 0.0000 
ep/it:763- 220 niter:292450  1545m 56s (- 1490m 57s) completed: 50%) loss_emb: 0.0000  loss: 1.2283  loss_TTT: 0.0302  acc: 0.6353  lr: 0.0000 
ep/it:763- 270 niter:292500  1546m 12s (- 1490m 41s) completed: 50%) loss_emb: 0.0000  loss: 1.2466  loss_TTT: 0.0300  acc: 0.6291  lr: 0.0000 
ep/it:763- 320 niter:292550  1546m 29s (- 1490m 27s) completed: 50%) loss_emb: 0.0000  loss: 1.2441  loss_TTT: 0.0306  acc: 0.6300  lr: 0.0000 
ep/it:763- 370 niter:292600  1546m 46s (- 1490m 13s) completed: 50%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0302  acc: 0.6317  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.605
ep/it:764-  37 niter:292650  1547m 6s (- 1490m 0s) completed: 50%) loss_emb: 0.0000  loss: 1.2329  loss_TTT: 0.0305  acc: 0.6319  lr: 0.0000 
ep/it:764-  87 niter:292700  1547m 22s (- 1489m 45s) completed: 50%) loss_emb: 0.0000  loss: 1.2328  loss_TTT: 0.0291  acc: 0.6309  lr: 0.0000 
ep/it:764- 137 niter:292750  1547m 39s (- 1489m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.2511  loss_TTT: 0.0310  acc: 0.6286  lr: 0.0000 
ep/it:764- 187 niter:292800  1547m 55s (- 1489m 14s) completed: 50%) loss_emb: 0.0000  loss: 1.2256  loss_TTT: 0.0306  acc: 0.6352  lr: 0.0000 
ep/it:764- 237 niter:292850  1548m 12s (- 1488m 59s) completed: 50%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0311  acc: 0.6295  lr: 0.0000 
ep/it:764- 287 niter:292900  1548m 29s (- 1488m 44s) completed: 50%) loss_emb: 0.0000  loss: 1.2305  loss_TTT: 0.0299  acc: 0.6339  lr: 0.0000 
ep/it:764- 337 niter:292950  1548m 46s (- 1488m 30s) completed: 50%) loss_emb: 0.0000  loss: 1.2143  loss_TTT: 0.0315  acc: 0.6369  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.597
ep/it:765-   4 niter:293000  1549m 6s (- 1488m 18s) completed: 51%) loss_emb: 0.0000  loss: 1.2230  loss_TTT: 0.0302  acc: 0.6364  lr: 0.0000 
ep/it:765-  54 niter:293050  1549m 23s (- 1488m 3s) completed: 51%) loss_emb: 0.0000  loss: 1.2021  loss_TTT: 0.0302  acc: 0.6412  lr: 0.0000 
ep/it:765- 104 niter:293100  1549m 40s (- 1487m 48s) completed: 51%) loss_emb: 0.0000  loss: 1.2253  loss_TTT: 0.0318  acc: 0.6345  lr: 0.0000 
ep/it:765- 154 niter:293150  1549m 56s (- 1487m 33s) completed: 51%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0292  acc: 0.6271  lr: 0.0000 
ep/it:765- 204 niter:293200  1550m 13s (- 1487m 17s) completed: 51%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0306  acc: 0.6304  lr: 0.0000 
ep/it:765- 254 niter:293250  1550m 29s (- 1487m 2s) completed: 51%) loss_emb: 0.0000  loss: 1.2332  loss_TTT: 0.0302  acc: 0.6340  lr: 0.0000 
ep/it:765- 304 niter:293300  1550m 45s (- 1486m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0316  acc: 0.6298  lr: 0.0000 
ep/it:765- 354 niter:293350  1551m 2s (- 1486m 32s) completed: 51%) loss_emb: 0.0000  loss: 1.2032  loss_TTT: 0.0308  acc: 0.6416  lr: 0.0000 
Validation time:
Validation loss:1.373, accuracy:0.612
ep/it:766-  21 niter:293400  1551m 22s (- 1486m 20s) completed: 51%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0319  acc: 0.6312  lr: 0.0000 
ep/it:766-  71 niter:293450  1551m 38s (- 1486m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.2268  loss_TTT: 0.0295  acc: 0.6331  lr: 0.0000 
ep/it:766- 121 niter:293500  1551m 54s (- 1485m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2320  loss_TTT: 0.0311  acc: 0.6328  lr: 0.0000 
ep/it:766- 171 niter:293550  1552m 11s (- 1485m 33s) completed: 51%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0303  acc: 0.6281  lr: 0.0000 
ep/it:766- 221 niter:293600  1552m 27s (- 1485m 18s) completed: 51%) loss_emb: 0.0000  loss: 1.2616  loss_TTT: 0.0316  acc: 0.6257  lr: 0.0000 
ep/it:766- 271 niter:293650  1552m 43s (- 1485m 2s) completed: 51%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0309  acc: 0.6313  lr: 0.0000 
ep/it:766- 321 niter:293700  1552m 59s (- 1484m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.2195  loss_TTT: 0.0307  acc: 0.6371  lr: 0.0000 
ep/it:766- 371 niter:293750  1553m 16s (- 1484m 31s) completed: 51%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0318  acc: 0.6309  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.597
ep/it:767-  38 niter:293800  1553m 36s (- 1484m 20s) completed: 51%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0297  acc: 0.6240  lr: 0.0000 
ep/it:767-  88 niter:293850  1553m 52s (- 1484m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.2314  loss_TTT: 0.0316  acc: 0.6332  lr: 0.0000 
ep/it:767- 138 niter:293900  1554m 9s (- 1483m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0299  acc: 0.6311  lr: 0.0000 
ep/it:767- 188 niter:293950  1554m 25s (- 1483m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0323  acc: 0.6223  lr: 0.0000 
ep/it:767- 238 niter:294000  1554m 41s (- 1483m 18s) completed: 51%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0297  acc: 0.6340  lr: 0.0000 
ep/it:767- 288 niter:294050  1554m 58s (- 1483m 2s) completed: 51%) loss_emb: 0.0000  loss: 1.2288  loss_TTT: 0.0298  acc: 0.6343  lr: 0.0000 
ep/it:767- 338 niter:294100  1555m 14s (- 1482m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.2410  loss_TTT: 0.0305  acc: 0.6307  lr: 0.0000 
Validation time:
Validation loss:1.404, accuracy:0.604
ep/it:768-   5 niter:294150  1555m 35s (- 1482m 36s) completed: 51%) loss_emb: 0.0000  loss: 1.2209  loss_TTT: 0.0317  acc: 0.6364  lr: 0.0000 
ep/it:768-  55 niter:294200  1555m 51s (- 1482m 21s) completed: 51%) loss_emb: 0.0000  loss: 1.2505  loss_TTT: 0.0304  acc: 0.6273  lr: 0.0000 
ep/it:768- 105 niter:294250  1556m 8s (- 1482m 5s) completed: 51%) loss_emb: 0.0000  loss: 1.2169  loss_TTT: 0.0316  acc: 0.6368  lr: 0.0000 
ep/it:768- 155 niter:294300  1556m 24s (- 1481m 50s) completed: 51%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0306  acc: 0.6297  lr: 0.0000 
ep/it:768- 205 niter:294350  1556m 40s (- 1481m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0309  acc: 0.6319  lr: 0.0000 
ep/it:768- 255 niter:294400  1556m 57s (- 1481m 19s) completed: 51%) loss_emb: 0.0000  loss: 1.2275  loss_TTT: 0.0306  acc: 0.6349  lr: 0.0000 
ep/it:768- 305 niter:294450  1557m 13s (- 1481m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.2071  loss_TTT: 0.0306  acc: 0.6396  lr: 0.0000 
ep/it:768- 355 niter:294500  1557m 30s (- 1480m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0301  acc: 0.6315  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.596
ep/it:769-  22 niter:294550  1557m 51s (- 1480m 38s) completed: 51%) loss_emb: 0.0000  loss: 1.2231  loss_TTT: 0.0289  acc: 0.6349  lr: 0.0000 
ep/it:769-  72 niter:294600  1558m 8s (- 1480m 23s) completed: 51%) loss_emb: 0.0000  loss: 1.2181  loss_TTT: 0.0294  acc: 0.6359  lr: 0.0000 
ep/it:769- 122 niter:294650  1558m 24s (- 1480m 8s) completed: 51%) loss_emb: 0.0000  loss: 1.2386  loss_TTT: 0.0306  acc: 0.6305  lr: 0.0000 
ep/it:769- 172 niter:294700  1558m 41s (- 1479m 53s) completed: 51%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0298  acc: 0.6296  lr: 0.0000 
ep/it:769- 222 niter:294750  1558m 58s (- 1479m 38s) completed: 51%) loss_emb: 0.0000  loss: 1.2436  loss_TTT: 0.0314  acc: 0.6290  lr: 0.0000 
ep/it:769- 272 niter:294800  1559m 15s (- 1479m 23s) completed: 51%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0312  acc: 0.6352  lr: 0.0000 
ep/it:769- 322 niter:294850  1559m 32s (- 1479m 8s) completed: 51%) loss_emb: 0.0000  loss: 1.2307  loss_TTT: 0.0319  acc: 0.6339  lr: 0.0000 
ep/it:769- 372 niter:294900  1559m 49s (- 1478m 53s) completed: 51%) loss_emb: 0.0000  loss: 1.2307  loss_TTT: 0.0307  acc: 0.6342  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.598

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  3.06it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.78it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.04it/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:  2.5358441742137074 avg: 2.5358441742137074
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5297340811230242 avg: 2.532789127668366
--> 	 Eva. Repeat 22 :, FID. 0.1137, Diversity Real. 9.3350, Diversity. 9.8333, R_precision_real. [0.49804688 0.69824219 0.7890625 ], R_precision. [0.50097656 0.69335938 0.7890625 ], matching_score_real. 2.9309, matching_score_pred. 3.0016, skate_ratio. 0.0501, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5059 (traj_fail_50cm (Traj err)): 0.2832 (kps_fail_20cm): 0.3599 (kps_fail_50cm (Loc. err)): 0.1858 (kps_mean_err(m) (Avg. err)): 0.3453 
ep/it:770-  39 niter:294950  1560m 17s (- 1478m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0315  acc: 0.6336  lr: 0.0000 
ep/it:770-  89 niter:295000  1560m 33s (- 1478m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.2360  loss_TTT: 0.0308  acc: 0.6322  lr: 0.0000 
ep/it:770- 139 niter:295050  1560m 51s (- 1478m 19s) completed: 51%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0296  acc: 0.6281  lr: 0.0000 
ep/it:770- 189 niter:295100  1561m 7s (- 1478m 3s) completed: 51%) loss_emb: 0.0000  loss: 1.2383  loss_TTT: 0.0319  acc: 0.6329  lr: 0.0000 
ep/it:770- 239 niter:295150  1561m 23s (- 1477m 48s) completed: 51%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0305  acc: 0.6259  lr: 0.0000 
ep/it:770- 289 niter:295200  1561m 39s (- 1477m 32s) completed: 51%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0315  acc: 0.6315  lr: 0.0000 
ep/it:770- 339 niter:295250  1561m 55s (- 1477m 17s) completed: 51%) loss_emb: 0.0000  loss: 1.2250  loss_TTT: 0.0317  acc: 0.6341  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.601
ep/it:771-   6 niter:295300  1562m 15s (- 1477m 5s) completed: 51%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0296  acc: 0.6201  lr: 0.0000 
ep/it:771-  56 niter:295350  1562m 32s (- 1476m 50s) completed: 51%) loss_emb: 0.0000  loss: 1.2415  loss_TTT: 0.0316  acc: 0.6309  lr: 0.0000 
ep/it:771- 106 niter:295400  1562m 48s (- 1476m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.2325  loss_TTT: 0.0311  acc: 0.6335  lr: 0.0000 
ep/it:771- 156 niter:295450  1563m 4s (- 1476m 18s) completed: 51%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0298  acc: 0.6263  lr: 0.0000 
ep/it:771- 206 niter:295500  1563m 20s (- 1476m 3s) completed: 51%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0301  acc: 0.6298  lr: 0.0000 
ep/it:771- 256 niter:295550  1563m 37s (- 1475m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.2242  loss_TTT: 0.0300  acc: 0.6351  lr: 0.0000 
ep/it:771- 306 niter:295600  1563m 53s (- 1475m 32s) completed: 51%) loss_emb: 0.0000  loss: 1.2348  loss_TTT: 0.0300  acc: 0.6324  lr: 0.0000 
ep/it:771- 356 niter:295650  1564m 10s (- 1475m 17s) completed: 51%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0308  acc: 0.6305  lr: 0.0000 
Validation time:
Validation loss:1.404, accuracy:0.605
ep/it:772-  23 niter:295700  1564m 30s (- 1475m 5s) completed: 51%) loss_emb: 0.0000  loss: 1.2254  loss_TTT: 0.0302  acc: 0.6350  lr: 0.0000 
ep/it:772-  73 niter:295750  1564m 46s (- 1474m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2174  loss_TTT: 0.0294  acc: 0.6361  lr: 0.0000 
ep/it:772- 123 niter:295800  1565m 2s (- 1474m 33s) completed: 51%) loss_emb: 0.0000  loss: 1.2165  loss_TTT: 0.0303  acc: 0.6384  lr: 0.0000 
ep/it:772- 173 niter:295850  1565m 18s (- 1474m 18s) completed: 51%) loss_emb: 0.0000  loss: 1.2327  loss_TTT: 0.0310  acc: 0.6338  lr: 0.0000 
ep/it:772- 223 niter:295900  1565m 35s (- 1474m 3s) completed: 51%) loss_emb: 0.0000  loss: 1.2214  loss_TTT: 0.0316  acc: 0.6354  lr: 0.0000 
ep/it:772- 273 niter:295950  1565m 51s (- 1473m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.2294  loss_TTT: 0.0307  acc: 0.6341  lr: 0.0000 
ep/it:772- 323 niter:296000  1566m 7s (- 1473m 32s) completed: 51%) loss_emb: 0.0000  loss: 1.2513  loss_TTT: 0.0303  acc: 0.6282  lr: 0.0000 
ep/it:772- 373 niter:296050  1566m 24s (- 1473m 16s) completed: 51%) loss_emb: 0.0000  loss: 1.2317  loss_TTT: 0.0310  acc: 0.6339  lr: 0.0000 
Validation time:
Validation loss:1.406, accuracy:0.604
ep/it:773-  40 niter:296100  1566m 43s (- 1473m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.2055  loss_TTT: 0.0302  acc: 0.6400  lr: 0.0000 
ep/it:773-  90 niter:296150  1567m 0s (- 1472m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0308  acc: 0.6313  lr: 0.0000 
ep/it:773- 140 niter:296200  1567m 16s (- 1472m 33s) completed: 51%) loss_emb: 0.0000  loss: 1.2407  loss_TTT: 0.0315  acc: 0.6319  lr: 0.0000 
ep/it:773- 190 niter:296250  1567m 32s (- 1472m 17s) completed: 51%) loss_emb: 0.0000  loss: 1.2175  loss_TTT: 0.0306  acc: 0.6376  lr: 0.0000 
ep/it:773- 240 niter:296300  1567m 48s (- 1472m 2s) completed: 51%) loss_emb: 0.0000  loss: 1.2232  loss_TTT: 0.0302  acc: 0.6352  lr: 0.0000 
ep/it:773- 290 niter:296350  1568m 5s (- 1471m 47s) completed: 51%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0313  acc: 0.6289  lr: 0.0000 
ep/it:773- 340 niter:296400  1568m 21s (- 1471m 31s) completed: 51%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0316  acc: 0.6297  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.598
ep/it:774-   7 niter:296450  1568m 42s (- 1471m 20s) completed: 51%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0315  acc: 0.6308  lr: 0.0000 
ep/it:774-  57 niter:296500  1568m 59s (- 1471m 5s) completed: 51%) loss_emb: 0.0000  loss: 1.2554  loss_TTT: 0.0319  acc: 0.6276  lr: 0.0000 
ep/it:774- 107 niter:296550  1569m 16s (- 1470m 50s) completed: 51%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0305  acc: 0.6279  lr: 0.0000 
ep/it:774- 157 niter:296600  1569m 32s (- 1470m 35s) completed: 51%) loss_emb: 0.0000  loss: 1.2334  loss_TTT: 0.0301  acc: 0.6329  lr: 0.0000 
ep/it:774- 207 niter:296650  1569m 49s (- 1470m 19s) completed: 51%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0318  acc: 0.6302  lr: 0.0000 
ep/it:774- 257 niter:296700  1570m 5s (- 1470m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.2168  loss_TTT: 0.0315  acc: 0.6378  lr: 0.0000 
ep/it:774- 307 niter:296750  1570m 22s (- 1469m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0293  acc: 0.6331  lr: 0.0000 
ep/it:774- 357 niter:296800  1570m 39s (- 1469m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0300  acc: 0.6307  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.606
ep/it:775-  24 niter:296850  1570m 58s (- 1469m 22s) completed: 51%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0305  acc: 0.6349  lr: 0.0000 
ep/it:775-  74 niter:296900  1571m 15s (- 1469m 6s) completed: 51%) loss_emb: 0.0000  loss: 1.2320  loss_TTT: 0.0300  acc: 0.6345  lr: 0.0000 
ep/it:775- 124 niter:296950  1571m 31s (- 1468m 51s) completed: 51%) loss_emb: 0.0000  loss: 1.2229  loss_TTT: 0.0304  acc: 0.6351  lr: 0.0000 
ep/it:775- 174 niter:297000  1571m 47s (- 1468m 35s) completed: 51%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0305  acc: 0.6302  lr: 0.0000 
ep/it:775- 224 niter:297050  1572m 3s (- 1468m 20s) completed: 51%) loss_emb: 0.0000  loss: 1.2165  loss_TTT: 0.0303  acc: 0.6379  lr: 0.0000 
ep/it:775- 274 niter:297100  1572m 20s (- 1468m 4s) completed: 51%) loss_emb: 0.0000  loss: 1.2597  loss_TTT: 0.0311  acc: 0.6263  lr: 0.0000 
ep/it:775- 324 niter:297150  1572m 36s (- 1467m 49s) completed: 51%) loss_emb: 0.0000  loss: 1.2274  loss_TTT: 0.0311  acc: 0.6354  lr: 0.0000 
ep/it:775- 374 niter:297200  1572m 53s (- 1467m 34s) completed: 51%) loss_emb: 0.0000  loss: 1.2395  loss_TTT: 0.0303  acc: 0.6304  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.600
ep/it:776-  41 niter:297250  1573m 13s (- 1467m 22s) completed: 51%) loss_emb: 0.0000  loss: 1.2265  loss_TTT: 0.0299  acc: 0.6343  lr: 0.0000 
ep/it:776-  91 niter:297300  1573m 30s (- 1467m 7s) completed: 51%) loss_emb: 0.0000  loss: 1.2036  loss_TTT: 0.0301  acc: 0.6413  lr: 0.0000 
ep/it:776- 141 niter:297350  1573m 46s (- 1466m 52s) completed: 51%) loss_emb: 0.0000  loss: 1.2421  loss_TTT: 0.0306  acc: 0.6310  lr: 0.0000 
ep/it:776- 191 niter:297400  1574m 3s (- 1466m 37s) completed: 51%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0311  acc: 0.6297  lr: 0.0000 
ep/it:776- 241 niter:297450  1574m 20s (- 1466m 21s) completed: 51%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0312  acc: 0.6239  lr: 0.0000 
ep/it:776- 291 niter:297500  1574m 37s (- 1466m 7s) completed: 51%) loss_emb: 0.0000  loss: 1.2207  loss_TTT: 0.0312  acc: 0.6348  lr: 0.0000 
ep/it:776- 341 niter:297550  1574m 54s (- 1465m 52s) completed: 51%) loss_emb: 0.0000  loss: 1.2174  loss_TTT: 0.0311  acc: 0.6376  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.591
ep/it:777-   8 niter:297600  1575m 15s (- 1465m 40s) completed: 51%) loss_emb: 0.0000  loss: 1.2081  loss_TTT: 0.0303  acc: 0.6397  lr: 0.0000 
ep/it:777-  58 niter:297650  1575m 31s (- 1465m 25s) completed: 51%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0312  acc: 0.6338  lr: 0.0000 
ep/it:777- 108 niter:297700  1575m 48s (- 1465m 10s) completed: 51%) loss_emb: 0.0000  loss: 1.2305  loss_TTT: 0.0319  acc: 0.6336  lr: 0.0000 
ep/it:777- 158 niter:297750  1576m 5s (- 1464m 56s) completed: 51%) loss_emb: 0.0000  loss: 1.2164  loss_TTT: 0.0285  acc: 0.6361  lr: 0.0000 
ep/it:777- 208 niter:297800  1576m 22s (- 1464m 41s) completed: 51%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0319  acc: 0.6321  lr: 0.0000 
ep/it:777- 258 niter:297850  1576m 38s (- 1464m 25s) completed: 51%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0310  acc: 0.6290  lr: 0.0000 
ep/it:777- 308 niter:297900  1576m 55s (- 1464m 10s) completed: 51%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0309  acc: 0.6275  lr: 0.0000 
ep/it:777- 358 niter:297950  1577m 11s (- 1463m 54s) completed: 51%) loss_emb: 0.0000  loss: 1.2186  loss_TTT: 0.0293  acc: 0.6370  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.597
ep/it:778-  25 niter:298000  1577m 32s (- 1463m 43s) completed: 51%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0315  acc: 0.6322  lr: 0.0000 
ep/it:778-  75 niter:298050  1577m 48s (- 1463m 27s) completed: 51%) loss_emb: 0.0000  loss: 1.2292  loss_TTT: 0.0307  acc: 0.6335  lr: 0.0000 
ep/it:778- 125 niter:298100  1578m 5s (- 1463m 12s) completed: 51%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0315  acc: 0.6271  lr: 0.0000 
ep/it:778- 175 niter:298150  1578m 22s (- 1462m 57s) completed: 51%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0301  acc: 0.6321  lr: 0.0000 
ep/it:778- 225 niter:298200  1578m 39s (- 1462m 42s) completed: 51%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0294  acc: 0.6288  lr: 0.0000 
ep/it:778- 275 niter:298250  1578m 55s (- 1462m 27s) completed: 51%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0310  acc: 0.6264  lr: 0.0000 
ep/it:778- 325 niter:298300  1579m 12s (- 1462m 12s) completed: 51%) loss_emb: 0.0000  loss: 1.2222  loss_TTT: 0.0305  acc: 0.6360  lr: 0.0000 
ep/it:778- 375 niter:298350  1579m 28s (- 1461m 57s) completed: 51%) loss_emb: 0.0000  loss: 1.2259  loss_TTT: 0.0318  acc: 0.6344  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.595
ep/it:779-  42 niter:298400  1579m 48s (- 1461m 45s) completed: 51%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0305  acc: 0.6313  lr: 0.0000 
ep/it:779-  92 niter:298450  1580m 5s (- 1461m 30s) completed: 51%) loss_emb: 0.0000  loss: 1.2156  loss_TTT: 0.0292  acc: 0.6379  lr: 0.0000 
ep/it:779- 142 niter:298500  1580m 22s (- 1461m 14s) completed: 51%) loss_emb: 0.0000  loss: 1.2426  loss_TTT: 0.0307  acc: 0.6307  lr: 0.0000 
ep/it:779- 192 niter:298550  1580m 39s (- 1460m 59s) completed: 51%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0303  acc: 0.6281  lr: 0.0000 
ep/it:779- 242 niter:298600  1580m 55s (- 1460m 44s) completed: 51%) loss_emb: 0.0000  loss: 1.2327  loss_TTT: 0.0306  acc: 0.6322  lr: 0.0000 
ep/it:779- 292 niter:298650  1581m 12s (- 1460m 29s) completed: 51%) loss_emb: 0.0000  loss: 1.2306  loss_TTT: 0.0309  acc: 0.6337  lr: 0.0000 
ep/it:779- 342 niter:298700  1581m 28s (- 1460m 13s) completed: 51%) loss_emb: 0.0000  loss: 1.2283  loss_TTT: 0.0302  acc: 0.6345  lr: 0.0000 
Validation time:
Validation loss:1.369, accuracy:0.612

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:19,  2.39it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.63it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.97it/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:  2.57263037096709 avg: 2.57263037096709
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.509681120980531 avg: 2.5411557459738106
--> 	 Eva. Repeat 22 :, FID. 0.1244, Diversity Real. 9.3612, Diversity. 10.0684, R_precision_real. [0.51953125 0.70898438 0.80859375], R_precision. [0.52246094 0.69921875 0.78320312], matching_score_real. 2.8984, matching_score_pred. 2.9687, skate_ratio. 0.0431, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4795 (traj_fail_50cm (Traj err)): 0.2588 (kps_fail_20cm): 0.3440 (kps_fail_50cm (Loc. err)): 0.1706 (kps_mean_err(m) (Avg. err)): 0.3204 
ep/it:780-   9 niter:298750  1581m 56s (- 1460m 9s) completed: 52%) loss_emb: 0.0000  loss: 1.2396  loss_TTT: 0.0314  acc: 0.6315  lr: 0.0000 
ep/it:780-  59 niter:298800  1582m 13s (- 1459m 54s) completed: 52%) loss_emb: 0.0000  loss: 1.2170  loss_TTT: 0.0304  acc: 0.6370  lr: 0.0000 
ep/it:780- 109 niter:298850  1582m 29s (- 1459m 38s) completed: 52%) loss_emb: 0.0000  loss: 1.2315  loss_TTT: 0.0299  acc: 0.6335  lr: 0.0000 
ep/it:780- 159 niter:298900  1582m 46s (- 1459m 23s) completed: 52%) loss_emb: 0.0000  loss: 1.2470  loss_TTT: 0.0320  acc: 0.6289  lr: 0.0000 
ep/it:780- 209 niter:298950  1583m 3s (- 1459m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.2199  loss_TTT: 0.0294  acc: 0.6369  lr: 0.0000 
ep/it:780- 259 niter:299000  1583m 19s (- 1458m 52s) completed: 52%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0305  acc: 0.6319  lr: 0.0000 
ep/it:780- 309 niter:299050  1583m 36s (- 1458m 38s) completed: 52%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0305  acc: 0.6326  lr: 0.0000 
ep/it:780- 359 niter:299100  1583m 52s (- 1458m 22s) completed: 52%) loss_emb: 0.0000  loss: 1.2090  loss_TTT: 0.0315  acc: 0.6394  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.604
ep/it:781-  26 niter:299150  1584m 13s (- 1458m 11s) completed: 52%) loss_emb: 0.0000  loss: 1.2089  loss_TTT: 0.0305  acc: 0.6396  lr: 0.0000 
ep/it:781-  76 niter:299200  1584m 30s (- 1457m 55s) completed: 52%) loss_emb: 0.0000  loss: 1.2224  loss_TTT: 0.0309  acc: 0.6361  lr: 0.0000 
ep/it:781- 126 niter:299250  1584m 46s (- 1457m 40s) completed: 52%) loss_emb: 0.0000  loss: 1.2187  loss_TTT: 0.0299  acc: 0.6379  lr: 0.0000 
ep/it:781- 176 niter:299300  1585m 2s (- 1457m 24s) completed: 52%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0315  acc: 0.6358  lr: 0.0000 
ep/it:781- 226 niter:299350  1585m 19s (- 1457m 9s) completed: 52%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0303  acc: 0.6359  lr: 0.0000 
ep/it:781- 276 niter:299400  1585m 35s (- 1456m 54s) completed: 52%) loss_emb: 0.0000  loss: 1.2366  loss_TTT: 0.0322  acc: 0.6323  lr: 0.0000 
ep/it:781- 326 niter:299450  1585m 52s (- 1456m 39s) completed: 52%) loss_emb: 0.0000  loss: 1.2395  loss_TTT: 0.0305  acc: 0.6308  lr: 0.0000 
ep/it:781- 376 niter:299500  1586m 9s (- 1456m 24s) completed: 52%) loss_emb: 0.0000  loss: 1.2201  loss_TTT: 0.0305  acc: 0.6369  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.601
ep/it:782-  43 niter:299550  1586m 30s (- 1456m 13s) completed: 52%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0304  acc: 0.6326  lr: 0.0000 
ep/it:782-  93 niter:299600  1586m 47s (- 1455m 58s) completed: 52%) loss_emb: 0.0000  loss: 1.2204  loss_TTT: 0.0307  acc: 0.6363  lr: 0.0000 
ep/it:782- 143 niter:299650  1587m 3s (- 1455m 42s) completed: 52%) loss_emb: 0.0000  loss: 1.2262  loss_TTT: 0.0292  acc: 0.6342  lr: 0.0000 
ep/it:782- 193 niter:299700  1587m 20s (- 1455m 27s) completed: 52%) loss_emb: 0.0000  loss: 1.2247  loss_TTT: 0.0309  acc: 0.6343  lr: 0.0000 
ep/it:782- 243 niter:299750  1587m 37s (- 1455m 12s) completed: 52%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0309  acc: 0.6337  lr: 0.0000 
ep/it:782- 293 niter:299800  1587m 54s (- 1454m 57s) completed: 52%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0308  acc: 0.6305  lr: 0.0000 
ep/it:782- 343 niter:299850  1588m 10s (- 1454m 42s) completed: 52%) loss_emb: 0.0000  loss: 1.2273  loss_TTT: 0.0300  acc: 0.6342  lr: 0.0000 
Validation time:
Validation loss:1.401, accuracy:0.606
ep/it:783-  10 niter:299900  1588m 31s (- 1454m 31s) completed: 52%) loss_emb: 0.0000  loss: 1.2415  loss_TTT: 0.0316  acc: 0.6325  lr: 0.0000 
ep/it:783-  60 niter:299950  1588m 47s (- 1454m 15s) completed: 52%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0319  acc: 0.6284  lr: 0.0000 
ep/it:783- 110 niter:300000  1589m 4s (- 1454m 0s) completed: 52%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0323  acc: 0.6297  lr: 0.0000 
ep/it:783- 160 niter:300050  1589m 21s (- 1453m 45s) completed: 52%) loss_emb: 0.0000  loss: 1.2327  loss_TTT: 0.0299  acc: 0.6329  lr: 0.0000 
ep/it:783- 210 niter:300100  1589m 37s (- 1453m 29s) completed: 52%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0289  acc: 0.6339  lr: 0.0000 
ep/it:783- 260 niter:300150  1589m 55s (- 1453m 15s) completed: 52%) loss_emb: 0.0000  loss: 1.2118  loss_TTT: 0.0293  acc: 0.6377  lr: 0.0000 
ep/it:783- 310 niter:300200  1590m 12s (- 1453m 0s) completed: 52%) loss_emb: 0.0000  loss: 1.2250  loss_TTT: 0.0310  acc: 0.6341  lr: 0.0000 
ep/it:783- 360 niter:300250  1590m 28s (- 1452m 45s) completed: 52%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0312  acc: 0.6310  lr: 0.0000 
Validation time:
Validation loss:1.402, accuracy:0.604
ep/it:784-  27 niter:300300  1590m 48s (- 1452m 33s) completed: 52%) loss_emb: 0.0000  loss: 1.2267  loss_TTT: 0.0310  acc: 0.6350  lr: 0.0000 
ep/it:784-  77 niter:300350  1591m 5s (- 1452m 18s) completed: 52%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0289  acc: 0.6301  lr: 0.0000 
ep/it:784- 127 niter:300400  1591m 22s (- 1452m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.2328  loss_TTT: 0.0306  acc: 0.6325  lr: 0.0000 
ep/it:784- 177 niter:300450  1591m 39s (- 1451m 48s) completed: 52%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0304  acc: 0.6292  lr: 0.0000 
ep/it:784- 227 niter:300500  1591m 56s (- 1451m 33s) completed: 52%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0311  acc: 0.6234  lr: 0.0000 
ep/it:784- 277 niter:300550  1592m 13s (- 1451m 18s) completed: 52%) loss_emb: 0.0000  loss: 1.2298  loss_TTT: 0.0309  acc: 0.6322  lr: 0.0000 
ep/it:784- 327 niter:300600  1592m 30s (- 1451m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0306  acc: 0.6319  lr: 0.0000 
ep/it:784- 377 niter:300650  1592m 46s (- 1450m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.2403  loss_TTT: 0.0309  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.388, accuracy:0.610
ep/it:785-  44 niter:300700  1593m 7s (- 1450m 36s) completed: 52%) loss_emb: 0.0000  loss: 1.2379  loss_TTT: 0.0315  acc: 0.6318  lr: 0.0000 
ep/it:785-  94 niter:300750  1593m 23s (- 1450m 20s) completed: 52%) loss_emb: 0.0000  loss: 1.2080  loss_TTT: 0.0307  acc: 0.6391  lr: 0.0000 
ep/it:785- 144 niter:300800  1593m 39s (- 1450m 5s) completed: 52%) loss_emb: 0.0000  loss: 1.2163  loss_TTT: 0.0315  acc: 0.6370  lr: 0.0000 
ep/it:785- 194 niter:300850  1593m 56s (- 1449m 49s) completed: 52%) loss_emb: 0.0000  loss: 1.2302  loss_TTT: 0.0303  acc: 0.6347  lr: 0.0000 
ep/it:785- 244 niter:300900  1594m 13s (- 1449m 34s) completed: 52%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0312  acc: 0.6235  lr: 0.0000 
ep/it:785- 294 niter:300950  1594m 29s (- 1449m 19s) completed: 52%) loss_emb: 0.0000  loss: 1.2192  loss_TTT: 0.0300  acc: 0.6376  lr: 0.0000 
ep/it:785- 344 niter:301000  1594m 45s (- 1449m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.2284  loss_TTT: 0.0300  acc: 0.6348  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.592
ep/it:786-  11 niter:301050  1595m 6s (- 1448m 51s) completed: 52%) loss_emb: 0.0000  loss: 1.2182  loss_TTT: 0.0298  acc: 0.6371  lr: 0.0000 
ep/it:786-  61 niter:301100  1595m 22s (- 1448m 36s) completed: 52%) loss_emb: 0.0000  loss: 1.2367  loss_TTT: 0.0314  acc: 0.6322  lr: 0.0000 
ep/it:786- 111 niter:301150  1595m 39s (- 1448m 21s) completed: 52%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0305  acc: 0.6247  lr: 0.0000 
ep/it:786- 161 niter:301200  1595m 55s (- 1448m 6s) completed: 52%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0311  acc: 0.6262  lr: 0.0000 
ep/it:786- 211 niter:301250  1596m 12s (- 1447m 51s) completed: 52%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0311  acc: 0.6256  lr: 0.0000 
ep/it:786- 261 niter:301300  1596m 29s (- 1447m 36s) completed: 52%) loss_emb: 0.0000  loss: 1.2265  loss_TTT: 0.0303  acc: 0.6350  lr: 0.0000 
ep/it:786- 311 niter:301350  1596m 46s (- 1447m 20s) completed: 52%) loss_emb: 0.0000  loss: 1.2216  loss_TTT: 0.0312  acc: 0.6360  lr: 0.0000 
ep/it:786- 361 niter:301400  1597m 3s (- 1447m 5s) completed: 52%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0285  acc: 0.6322  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.604
ep/it:787-  28 niter:301450  1597m 23s (- 1446m 54s) completed: 52%) loss_emb: 0.0000  loss: 1.2282  loss_TTT: 0.0311  acc: 0.6348  lr: 0.0000 
ep/it:787-  78 niter:301500  1597m 40s (- 1446m 38s) completed: 52%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0294  acc: 0.6315  lr: 0.0000 
ep/it:787- 128 niter:301550  1597m 56s (- 1446m 23s) completed: 52%) loss_emb: 0.0000  loss: 1.2489  loss_TTT: 0.0299  acc: 0.6290  lr: 0.0000 
ep/it:787- 178 niter:301600  1598m 13s (- 1446m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.2314  loss_TTT: 0.0296  acc: 0.6333  lr: 0.0000 
ep/it:787- 228 niter:301650  1598m 29s (- 1445m 52s) completed: 52%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0311  acc: 0.6285  lr: 0.0000 
ep/it:787- 278 niter:301700  1598m 46s (- 1445m 37s) completed: 52%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0309  acc: 0.6267  lr: 0.0000 
ep/it:787- 328 niter:301750  1599m 3s (- 1445m 23s) completed: 52%) loss_emb: 0.0000  loss: 1.2300  loss_TTT: 0.0297  acc: 0.6330  lr: 0.0000 
ep/it:787- 378 niter:301800  1599m 20s (- 1445m 7s) completed: 52%) loss_emb: 0.0000  loss: 1.2273  loss_TTT: 0.0318  acc: 0.6357  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.602
ep/it:788-  45 niter:301850  1599m 39s (- 1444m 55s) completed: 52%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0302  acc: 0.6303  lr: 0.0000 
ep/it:788-  95 niter:301900  1599m 56s (- 1444m 40s) completed: 52%) loss_emb: 0.0000  loss: 1.2275  loss_TTT: 0.0297  acc: 0.6333  lr: 0.0000 
ep/it:788- 145 niter:301950  1600m 13s (- 1444m 24s) completed: 52%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0305  acc: 0.6307  lr: 0.0000 
ep/it:788- 195 niter:302000  1600m 29s (- 1444m 8s) completed: 52%) loss_emb: 0.0000  loss: 1.2441  loss_TTT: 0.0311  acc: 0.6290  lr: 0.0000 
ep/it:788- 245 niter:302050  1600m 45s (- 1443m 53s) completed: 52%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0310  acc: 0.6265  lr: 0.0000 
ep/it:788- 295 niter:302100  1601m 2s (- 1443m 38s) completed: 52%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0309  acc: 0.6241  lr: 0.0000 
ep/it:788- 345 niter:302150  1601m 18s (- 1443m 22s) completed: 52%) loss_emb: 0.0000  loss: 1.2334  loss_TTT: 0.0304  acc: 0.6328  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.600
ep/it:789-  12 niter:302200  1601m 38s (- 1443m 10s) completed: 52%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0300  acc: 0.6297  lr: 0.0000 
ep/it:789-  62 niter:302250  1601m 55s (- 1442m 55s) completed: 52%) loss_emb: 0.0000  loss: 1.2218  loss_TTT: 0.0305  acc: 0.6358  lr: 0.0000 
ep/it:789- 112 niter:302300  1602m 11s (- 1442m 40s) completed: 52%) loss_emb: 0.0000  loss: 1.2130  loss_TTT: 0.0299  acc: 0.6373  lr: 0.0000 
ep/it:789- 162 niter:302350  1602m 28s (- 1442m 24s) completed: 52%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0314  acc: 0.6302  lr: 0.0000 
ep/it:789- 212 niter:302400  1602m 45s (- 1442m 9s) completed: 52%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0302  acc: 0.6300  lr: 0.0000 
ep/it:789- 262 niter:302450  1603m 1s (- 1441m 54s) completed: 52%) loss_emb: 0.0000  loss: 1.2269  loss_TTT: 0.0300  acc: 0.6344  lr: 0.0000 
ep/it:789- 312 niter:302500  1603m 18s (- 1441m 39s) completed: 52%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0322  acc: 0.6266  lr: 0.0000 
ep/it:789- 362 niter:302550  1603m 35s (- 1441m 24s) completed: 52%) loss_emb: 0.0000  loss: 1.2698  loss_TTT: 0.0300  acc: 0.6229  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:21,  2.18it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.61it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.10it/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:  2.547679575625807 avg: 2.547679575625807
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.538246972952038 avg: 2.5429632742889225
--> 	 Eva. Repeat 22 :, FID. 0.1085, Diversity Real. 9.3498, Diversity. 9.6747, R_precision_real. [0.52929688 0.70898438 0.79589844], R_precision. [0.52148438 0.70898438 0.80859375], matching_score_real. 2.8972, matching_score_pred. 2.9589, skate_ratio. 0.0434, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4697 (traj_fail_50cm (Traj err)): 0.2803 (kps_fail_20cm): 0.3395 (kps_fail_50cm (Loc. err)): 0.1835 (kps_mean_err(m) (Avg. err)): 0.3250 
ep/it:790-  29 niter:302600  1604m 3s (- 1441m 19s) completed: 52%) loss_emb: 0.0000  loss: 1.2100  loss_TTT: 0.0300  acc: 0.6392  lr: 0.0000 
ep/it:790-  79 niter:302650  1604m 20s (- 1441m 4s) completed: 52%) loss_emb: 0.0000  loss: 1.2313  loss_TTT: 0.0298  acc: 0.6336  lr: 0.0000 
ep/it:790- 129 niter:302700  1604m 37s (- 1440m 48s) completed: 52%) loss_emb: 0.0000  loss: 1.2256  loss_TTT: 0.0301  acc: 0.6355  lr: 0.0000 
ep/it:790- 179 niter:302750  1604m 53s (- 1440m 33s) completed: 52%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0286  acc: 0.6252  lr: 0.0000 
ep/it:790- 229 niter:302800  1605m 9s (- 1440m 17s) completed: 52%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0306  acc: 0.6328  lr: 0.0000 
ep/it:790- 279 niter:302850  1605m 26s (- 1440m 2s) completed: 52%) loss_emb: 0.0000  loss: 1.2357  loss_TTT: 0.0295  acc: 0.6313  lr: 0.0000 
ep/it:790- 329 niter:302900  1605m 42s (- 1439m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.2527  loss_TTT: 0.0304  acc: 0.6274  lr: 0.0000 
ep/it:790- 379 niter:302950  1605m 59s (- 1439m 31s) completed: 52%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0306  acc: 0.6318  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.598
ep/it:791-  46 niter:303000  1606m 19s (- 1439m 19s) completed: 52%) loss_emb: 0.0000  loss: 1.2218  loss_TTT: 0.0317  acc: 0.6356  lr: 0.0000 
ep/it:791-  96 niter:303050  1606m 36s (- 1439m 4s) completed: 52%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0303  acc: 0.6327  lr: 0.0000 
ep/it:791- 146 niter:303100  1606m 52s (- 1438m 48s) completed: 52%) loss_emb: 0.0000  loss: 1.2417  loss_TTT: 0.0302  acc: 0.6302  lr: 0.0000 
ep/it:791- 196 niter:303150  1607m 8s (- 1438m 33s) completed: 52%) loss_emb: 0.0000  loss: 1.2452  loss_TTT: 0.0313  acc: 0.6288  lr: 0.0000 
ep/it:791- 246 niter:303200  1607m 24s (- 1438m 17s) completed: 52%) loss_emb: 0.0000  loss: 1.2374  loss_TTT: 0.0310  acc: 0.6319  lr: 0.0000 
ep/it:791- 296 niter:303250  1607m 40s (- 1438m 1s) completed: 52%) loss_emb: 0.0000  loss: 1.2296  loss_TTT: 0.0309  acc: 0.6335  lr: 0.0000 
ep/it:791- 346 niter:303300  1607m 57s (- 1437m 46s) completed: 52%) loss_emb: 0.0000  loss: 1.2190  loss_TTT: 0.0293  acc: 0.6364  lr: 0.0000 
Validation time:
Validation loss:1.391, accuracy:0.607
ep/it:792-  13 niter:303350  1608m 17s (- 1437m 34s) completed: 52%) loss_emb: 0.0000  loss: 1.2171  loss_TTT: 0.0294  acc: 0.6375  lr: 0.0000 
ep/it:792-  63 niter:303400  1608m 33s (- 1437m 18s) completed: 52%) loss_emb: 0.0000  loss: 1.2370  loss_TTT: 0.0314  acc: 0.6319  lr: 0.0000 
ep/it:792- 113 niter:303450  1608m 49s (- 1437m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0311  acc: 0.6316  lr: 0.0000 
ep/it:792- 163 niter:303500  1609m 6s (- 1436m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0308  acc: 0.6301  lr: 0.0000 
ep/it:792- 213 niter:303550  1609m 22s (- 1436m 32s) completed: 52%) loss_emb: 0.0000  loss: 1.2353  loss_TTT: 0.0309  acc: 0.6330  lr: 0.0000 
ep/it:792- 263 niter:303600  1609m 38s (- 1436m 16s) completed: 52%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0306  acc: 0.6297  lr: 0.0000 
ep/it:792- 313 niter:303650  1609m 55s (- 1436m 1s) completed: 52%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0308  acc: 0.6275  lr: 0.0000 
ep/it:792- 363 niter:303700  1610m 11s (- 1435m 45s) completed: 52%) loss_emb: 0.0000  loss: 1.2017  loss_TTT: 0.0303  acc: 0.6417  lr: 0.0000 
Validation time:
Validation loss:1.375, accuracy:0.613
ep/it:793-  30 niter:303750  1610m 32s (- 1435m 34s) completed: 52%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0316  acc: 0.6282  lr: 0.0000 
ep/it:793-  80 niter:303800  1610m 49s (- 1435m 18s) completed: 52%) loss_emb: 0.0000  loss: 1.2241  loss_TTT: 0.0287  acc: 0.6348  lr: 0.0000 
ep/it:793- 130 niter:303850  1611m 5s (- 1435m 3s) completed: 52%) loss_emb: 0.0000  loss: 1.2389  loss_TTT: 0.0299  acc: 0.6314  lr: 0.0000 
ep/it:793- 180 niter:303900  1611m 22s (- 1434m 48s) completed: 52%) loss_emb: 0.0000  loss: 1.2328  loss_TTT: 0.0310  acc: 0.6335  lr: 0.0000 
ep/it:793- 230 niter:303950  1611m 38s (- 1434m 32s) completed: 52%) loss_emb: 0.0000  loss: 1.2226  loss_TTT: 0.0302  acc: 0.6365  lr: 0.0000 
ep/it:793- 280 niter:304000  1611m 54s (- 1434m 16s) completed: 52%) loss_emb: 0.0000  loss: 1.2097  loss_TTT: 0.0303  acc: 0.6379  lr: 0.0000 
ep/it:793- 330 niter:304050  1612m 11s (- 1434m 1s) completed: 52%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0304  acc: 0.6279  lr: 0.0000 
ep/it:793- 380 niter:304100  1612m 27s (- 1433m 46s) completed: 52%) loss_emb: 0.0000  loss: 1.2294  loss_TTT: 0.0306  acc: 0.6339  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.597
ep/it:794-  47 niter:304150  1612m 47s (- 1433m 33s) completed: 52%) loss_emb: 0.0000  loss: 1.2139  loss_TTT: 0.0310  acc: 0.6380  lr: 0.0000 
ep/it:794-  97 niter:304200  1613m 3s (- 1433m 17s) completed: 52%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0302  acc: 0.6307  lr: 0.0000 
ep/it:794- 147 niter:304250  1613m 19s (- 1433m 2s) completed: 52%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0298  acc: 0.6255  lr: 0.0000 
ep/it:794- 197 niter:304300  1613m 36s (- 1432m 47s) completed: 52%) loss_emb: 0.0000  loss: 1.2272  loss_TTT: 0.0314  acc: 0.6348  lr: 0.0000 
ep/it:794- 247 niter:304350  1613m 52s (- 1432m 31s) completed: 52%) loss_emb: 0.0000  loss: 1.2275  loss_TTT: 0.0309  acc: 0.6347  lr: 0.0000 
ep/it:794- 297 niter:304400  1614m 8s (- 1432m 15s) completed: 52%) loss_emb: 0.0000  loss: 1.2089  loss_TTT: 0.0307  acc: 0.6397  lr: 0.0000 
ep/it:794- 347 niter:304450  1614m 25s (- 1432m 0s) completed: 52%) loss_emb: 0.0000  loss: 1.2153  loss_TTT: 0.0300  acc: 0.6382  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.600
ep/it:795-  14 niter:304500  1614m 45s (- 1431m 48s) completed: 53%) loss_emb: 0.0000  loss: 1.2341  loss_TTT: 0.0311  acc: 0.6326  lr: 0.0000 
ep/it:795-  64 niter:304550  1615m 2s (- 1431m 33s) completed: 53%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0303  acc: 0.6222  lr: 0.0000 
ep/it:795- 114 niter:304600  1615m 18s (- 1431m 17s) completed: 53%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0304  acc: 0.6319  lr: 0.0000 
ep/it:795- 164 niter:304650  1615m 34s (- 1431m 1s) completed: 53%) loss_emb: 0.0000  loss: 1.2408  loss_TTT: 0.0325  acc: 0.6308  lr: 0.0000 
ep/it:795- 214 niter:304700  1615m 50s (- 1430m 46s) completed: 53%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0308  acc: 0.6317  lr: 0.0000 
ep/it:795- 264 niter:304750  1616m 7s (- 1430m 30s) completed: 53%) loss_emb: 0.0000  loss: 1.2280  loss_TTT: 0.0303  acc: 0.6354  lr: 0.0000 
ep/it:795- 314 niter:304800  1616m 23s (- 1430m 15s) completed: 53%) loss_emb: 0.0000  loss: 1.2259  loss_TTT: 0.0297  acc: 0.6347  lr: 0.0000 
ep/it:795- 364 niter:304850  1616m 40s (- 1429m 59s) completed: 53%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0301  acc: 0.6302  lr: 0.0000 
Validation time:
Validation loss:1.397, accuracy:0.608
ep/it:796-  31 niter:304900  1617m 0s (- 1429m 48s) completed: 53%) loss_emb: 0.0000  loss: 1.2369  loss_TTT: 0.0299  acc: 0.6312  lr: 0.0000 
ep/it:796-  81 niter:304950  1617m 16s (- 1429m 32s) completed: 53%) loss_emb: 0.0000  loss: 1.2239  loss_TTT: 0.0306  acc: 0.6360  lr: 0.0000 
ep/it:796- 131 niter:305000  1617m 33s (- 1429m 17s) completed: 53%) loss_emb: 0.0000  loss: 1.2211  loss_TTT: 0.0296  acc: 0.6358  lr: 0.0000 
ep/it:796- 181 niter:305050  1617m 50s (- 1429m 2s) completed: 53%) loss_emb: 0.0000  loss: 1.2267  loss_TTT: 0.0310  acc: 0.6341  lr: 0.0000 
ep/it:796- 231 niter:305100  1618m 6s (- 1428m 46s) completed: 53%) loss_emb: 0.0000  loss: 1.2317  loss_TTT: 0.0316  acc: 0.6341  lr: 0.0000 
ep/it:796- 281 niter:305150  1618m 23s (- 1428m 31s) completed: 53%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0303  acc: 0.6302  lr: 0.0000 
ep/it:796- 331 niter:305200  1618m 40s (- 1428m 16s) completed: 53%) loss_emb: 0.0000  loss: 1.2363  loss_TTT: 0.0311  acc: 0.6306  lr: 0.0000 
ep/it:796- 381 niter:305250  1618m 56s (- 1428m 0s) completed: 53%) loss_emb: 0.0000  loss: 1.2189  loss_TTT: 0.0302  acc: 0.6369  lr: 0.0000 
Validation time:
Validation loss:1.414, accuracy:0.601
ep/it:797-  48 niter:305300  1619m 17s (- 1427m 49s) completed: 53%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0298  acc: 0.6333  lr: 0.0000 
ep/it:797-  98 niter:305350  1619m 34s (- 1427m 33s) completed: 53%) loss_emb: 0.0000  loss: 1.2028  loss_TTT: 0.0298  acc: 0.6410  lr: 0.0000 
ep/it:797- 148 niter:305400  1619m 50s (- 1427m 18s) completed: 53%) loss_emb: 0.0000  loss: 1.2385  loss_TTT: 0.0305  acc: 0.6318  lr: 0.0000 
ep/it:797- 198 niter:305450  1620m 8s (- 1427m 3s) completed: 53%) loss_emb: 0.0000  loss: 1.2325  loss_TTT: 0.0315  acc: 0.6337  lr: 0.0000 
ep/it:797- 248 niter:305500  1620m 24s (- 1426m 48s) completed: 53%) loss_emb: 0.0000  loss: 1.2367  loss_TTT: 0.0299  acc: 0.6310  lr: 0.0000 
ep/it:797- 298 niter:305550  1620m 41s (- 1426m 33s) completed: 53%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0306  acc: 0.6315  lr: 0.0000 
ep/it:797- 348 niter:305600  1620m 58s (- 1426m 18s) completed: 53%) loss_emb: 0.0000  loss: 1.2459  loss_TTT: 0.0303  acc: 0.6300  lr: 0.0000 
Validation time:
Validation loss:1.383, accuracy:0.610
ep/it:798-  15 niter:305650  1621m 18s (- 1426m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.2408  loss_TTT: 0.0292  acc: 0.6297  lr: 0.0000 
ep/it:798-  65 niter:305700  1621m 35s (- 1425m 51s) completed: 53%) loss_emb: 0.0000  loss: 1.1948  loss_TTT: 0.0291  acc: 0.6426  lr: 0.0000 
ep/it:798- 115 niter:305750  1621m 52s (- 1425m 36s) completed: 53%) loss_emb: 0.0000  loss: 1.2133  loss_TTT: 0.0317  acc: 0.6385  lr: 0.0000 
ep/it:798- 165 niter:305800  1622m 9s (- 1425m 21s) completed: 53%) loss_emb: 0.0000  loss: 1.2279  loss_TTT: 0.0305  acc: 0.6339  lr: 0.0000 
ep/it:798- 215 niter:305850  1622m 25s (- 1425m 5s) completed: 53%) loss_emb: 0.0000  loss: 1.1995  loss_TTT: 0.0316  acc: 0.6429  lr: 0.0000 
ep/it:798- 265 niter:305900  1622m 43s (- 1424m 51s) completed: 53%) loss_emb: 0.0000  loss: 1.2301  loss_TTT: 0.0304  acc: 0.6337  lr: 0.0000 
ep/it:798- 315 niter:305950  1622m 59s (- 1424m 35s) completed: 53%) loss_emb: 0.0000  loss: 1.2385  loss_TTT: 0.0291  acc: 0.6314  lr: 0.0000 
ep/it:798- 365 niter:306000  1623m 16s (- 1424m 20s) completed: 53%) loss_emb: 0.0000  loss: 1.2346  loss_TTT: 0.0306  acc: 0.6321  lr: 0.0000 
Validation time:
Validation loss:1.389, accuracy:0.609
ep/it:799-  32 niter:306050  1623m 37s (- 1424m 8s) completed: 53%) loss_emb: 0.0000  loss: 1.2183  loss_TTT: 0.0319  acc: 0.6373  lr: 0.0000 
ep/it:799-  82 niter:306100  1623m 53s (- 1423m 53s) completed: 53%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0313  acc: 0.6288  lr: 0.0000 
ep/it:799- 132 niter:306150  1624m 10s (- 1423m 38s) completed: 53%) loss_emb: 0.0000  loss: 1.2305  loss_TTT: 0.0296  acc: 0.6336  lr: 0.0000 
ep/it:799- 182 niter:306200  1624m 27s (- 1423m 23s) completed: 53%) loss_emb: 0.0000  loss: 1.2159  loss_TTT: 0.0315  acc: 0.6378  lr: 0.0000 
ep/it:799- 232 niter:306250  1624m 43s (- 1423m 7s) completed: 53%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0331  acc: 0.6300  lr: 0.0000 
ep/it:799- 282 niter:306300  1625m 0s (- 1422m 52s) completed: 53%) loss_emb: 0.0000  loss: 1.2310  loss_TTT: 0.0301  acc: 0.6328  lr: 0.0000 
ep/it:799- 332 niter:306350  1625m 16s (- 1422m 36s) completed: 53%) loss_emb: 0.0000  loss: 1.2223  loss_TTT: 0.0302  acc: 0.6366  lr: 0.0000 
ep/it:799- 382 niter:306400  1625m 33s (- 1422m 21s) completed: 53%) loss_emb: 0.0000  loss: 1.2313  loss_TTT: 0.0307  acc: 0.6328  lr: 0.0000 
Validation time:
Validation loss:1.412, accuracy:0.602

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.50it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.85it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.12it/s]
100%|██████████| 47/47 [00:06<00:00,  7.16it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5347446487285197 avg: 2.5347446487285197
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.529907390009612 avg: 2.5323260193690658
--> 	 Eva. Repeat 22 :, FID. 0.1502, Diversity Real. 9.6582, Diversity. 10.1697, R_precision_real. [0.53417969 0.72949219 0.79785156], R_precision. [0.49902344 0.67773438 0.77636719], matching_score_real. 2.9110, matching_score_pred. 3.0524, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4922 (traj_fail_50cm (Traj err)): 0.2803 (kps_fail_20cm): 0.3621 (kps_fail_50cm (Loc. err)): 0.1957 (kps_mean_err(m) (Avg. err)): 0.3617 
ep/it:800-  49 niter:306450  1626m 2s (- 1422m 17s) completed: 53%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0305  acc: 0.6271  lr: 0.0000 
ep/it:800-  99 niter:306500  1626m 19s (- 1422m 2s) completed: 53%) loss_emb: 0.0000  loss: 1.2308  loss_TTT: 0.0311  acc: 0.6331  lr: 0.0000 
ep/it:800- 149 niter:306550  1626m 36s (- 1421m 47s) completed: 53%) loss_emb: 0.0000  loss: 1.2070  loss_TTT: 0.0305  acc: 0.6408  lr: 0.0000 
ep/it:800- 199 niter:306600  1626m 52s (- 1421m 31s) completed: 53%) loss_emb: 0.0000  loss: 1.2269  loss_TTT: 0.0291  acc: 0.6346  lr: 0.0000 
ep/it:800- 249 niter:306650  1627m 9s (- 1421m 16s) completed: 53%) loss_emb: 0.0000  loss: 1.2210  loss_TTT: 0.0300  acc: 0.6360  lr: 0.0000 
ep/it:800- 299 niter:306700  1627m 26s (- 1421m 1s) completed: 53%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0307  acc: 0.6317  lr: 0.0000 
ep/it:800- 349 niter:306750  1627m 42s (- 1420m 46s) completed: 53%) loss_emb: 0.0000  loss: 1.2305  loss_TTT: 0.0312  acc: 0.6336  lr: 0.0000 
Validation time:
Validation loss:1.409, accuracy:0.604
ep/it:801-  16 niter:306800  1628m 3s (- 1420m 34s) completed: 53%) loss_emb: 0.0000  loss: 1.2375  loss_TTT: 0.0305  acc: 0.6320  lr: 0.0000 
ep/it:801-  66 niter:306850  1628m 20s (- 1420m 19s) completed: 53%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0315  acc: 0.6317  lr: 0.0000 
ep/it:801- 116 niter:306900  1628m 36s (- 1420m 3s) completed: 53%) loss_emb: 0.0000  loss: 1.2099  loss_TTT: 0.0302  acc: 0.6387  lr: 0.0000 
ep/it:801- 166 niter:306950  1628m 54s (- 1419m 48s) completed: 53%) loss_emb: 0.0000  loss: 1.2126  loss_TTT: 0.0301  acc: 0.6387  lr: 0.0000 
ep/it:801- 216 niter:307000  1629m 10s (- 1419m 33s) completed: 53%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0305  acc: 0.6294  lr: 0.0000 
ep/it:801- 266 niter:307050  1629m 27s (- 1419m 18s) completed: 53%) loss_emb: 0.0000  loss: 1.2278  loss_TTT: 0.0308  acc: 0.6346  lr: 0.0000 
ep/it:801- 316 niter:307100  1629m 44s (- 1419m 3s) completed: 53%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0301  acc: 0.6249  lr: 0.0000 
ep/it:801- 366 niter:307150  1630m 0s (- 1418m 48s) completed: 53%) loss_emb: 0.0000  loss: 1.2201  loss_TTT: 0.0302  acc: 0.6360  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.586
ep/it:802-  33 niter:307200  1630m 21s (- 1418m 36s) completed: 53%) loss_emb: 0.0000  loss: 1.2354  loss_TTT: 0.0303  acc: 0.6324  lr: 0.0000 
ep/it:802-  83 niter:307250  1630m 38s (- 1418m 21s) completed: 53%) loss_emb: 0.0000  loss: 1.2205  loss_TTT: 0.0309  acc: 0.6370  lr: 0.0000 
ep/it:802- 133 niter:307300  1630m 55s (- 1418m 5s) completed: 53%) loss_emb: 0.0000  loss: 1.2200  loss_TTT: 0.0294  acc: 0.6360  lr: 0.0000 
ep/it:802- 183 niter:307350  1631m 12s (- 1417m 50s) completed: 53%) loss_emb: 0.0000  loss: 1.2330  loss_TTT: 0.0300  acc: 0.6326  lr: 0.0000 
ep/it:802- 233 niter:307400  1631m 28s (- 1417m 35s) completed: 53%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0307  acc: 0.6296  lr: 0.0000 
ep/it:802- 283 niter:307450  1631m 44s (- 1417m 19s) completed: 53%) loss_emb: 0.0000  loss: 1.2208  loss_TTT: 0.0314  acc: 0.6363  lr: 0.0000 
ep/it:802- 333 niter:307500  1632m 1s (- 1417m 4s) completed: 53%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0309  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.600
ep/it:803-   0 niter:307550  1632m 22s (- 1416m 52s) completed: 53%) loss_emb: 0.0000  loss: 1.2400  loss_TTT: 0.0295  acc: 0.6310  lr: 0.0000 
ep/it:803-  50 niter:307600  1632m 38s (- 1416m 37s) completed: 53%) loss_emb: 0.0000  loss: 1.2006  loss_TTT: 0.0296  acc: 0.6426  lr: 0.0000 
ep/it:803- 100 niter:307650  1632m 54s (- 1416m 21s) completed: 53%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0311  acc: 0.6299  lr: 0.0000 
ep/it:803- 150 niter:307700  1633m 11s (- 1416m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0311  acc: 0.6295  lr: 0.0000 
ep/it:803- 200 niter:307750  1633m 28s (- 1415m 51s) completed: 53%) loss_emb: 0.0000  loss: 1.2121  loss_TTT: 0.0302  acc: 0.6393  lr: 0.0000 
ep/it:803- 250 niter:307800  1633m 45s (- 1415m 36s) completed: 53%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0311  acc: 0.6277  lr: 0.0000 
ep/it:803- 300 niter:307850  1634m 2s (- 1415m 21s) completed: 53%) loss_emb: 0.0000  loss: 1.2197  loss_TTT: 0.0294  acc: 0.6354  lr: 0.0000 
ep/it:803- 350 niter:307900  1634m 18s (- 1415m 5s) completed: 53%) loss_emb: 0.0000  loss: 1.2171  loss_TTT: 0.0307  acc: 0.6368  lr: 0.0000 
Validation time:
Validation loss:1.402, accuracy:0.606
ep/it:804-  17 niter:307950  1634m 39s (- 1414m 53s) completed: 53%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0302  acc: 0.6282  lr: 0.0000 
ep/it:804-  67 niter:308000  1634m 56s (- 1414m 38s) completed: 53%) loss_emb: 0.0000  loss: 1.2291  loss_TTT: 0.0314  acc: 0.6345  lr: 0.0000 
ep/it:804- 117 niter:308050  1635m 13s (- 1414m 23s) completed: 53%) loss_emb: 0.0000  loss: 1.2066  loss_TTT: 0.0300  acc: 0.6398  lr: 0.0000 
ep/it:804- 167 niter:308100  1635m 29s (- 1414m 8s) completed: 53%) loss_emb: 0.0000  loss: 1.2280  loss_TTT: 0.0316  acc: 0.6342  lr: 0.0000 
ep/it:804- 217 niter:308150  1635m 46s (- 1413m 52s) completed: 53%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0308  acc: 0.6289  lr: 0.0000 
ep/it:804- 267 niter:308200  1636m 2s (- 1413m 37s) completed: 53%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0307  acc: 0.6291  lr: 0.0000 
ep/it:804- 317 niter:308250  1636m 19s (- 1413m 22s) completed: 53%) loss_emb: 0.0000  loss: 1.2156  loss_TTT: 0.0307  acc: 0.6371  lr: 0.0000 
ep/it:804- 367 niter:308300  1636m 36s (- 1413m 6s) completed: 53%) loss_emb: 0.0000  loss: 1.2242  loss_TTT: 0.0304  acc: 0.6340  lr: 0.0000 
Validation time:
Validation loss:1.419, accuracy:0.601
ep/it:805-  34 niter:308350  1636m 56s (- 1412m 54s) completed: 53%) loss_emb: 0.0000  loss: 1.2085  loss_TTT: 0.0308  acc: 0.6390  lr: 0.0000 
ep/it:805-  84 niter:308400  1637m 13s (- 1412m 39s) completed: 53%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0301  acc: 0.6295  lr: 0.0000 
ep/it:805- 134 niter:308450  1637m 29s (- 1412m 24s) completed: 53%) loss_emb: 0.0000  loss: 1.2273  loss_TTT: 0.0287  acc: 0.6344  lr: 0.0000 
ep/it:805- 184 niter:308500  1637m 46s (- 1412m 9s) completed: 53%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0321  acc: 0.6260  lr: 0.0000 
ep/it:805- 234 niter:308550  1638m 3s (- 1411m 54s) completed: 53%) loss_emb: 0.0000  loss: 1.2253  loss_TTT: 0.0313  acc: 0.6346  lr: 0.0000 
ep/it:805- 284 niter:308600  1638m 20s (- 1411m 38s) completed: 53%) loss_emb: 0.0000  loss: 1.2314  loss_TTT: 0.0304  acc: 0.6321  lr: 0.0000 
ep/it:805- 334 niter:308650  1638m 37s (- 1411m 23s) completed: 53%) loss_emb: 0.0000  loss: 1.2332  loss_TTT: 0.0308  acc: 0.6318  lr: 0.0000 
Validation time:
Validation loss:1.379, accuracy:0.610
ep/it:806-   1 niter:308700  1638m 57s (- 1411m 11s) completed: 53%) loss_emb: 0.0000  loss: 1.2339  loss_TTT: 0.0293  acc: 0.6312  lr: 0.0000 
ep/it:806-  51 niter:308750  1639m 13s (- 1410m 55s) completed: 53%) loss_emb: 0.0000  loss: 1.2148  loss_TTT: 0.0301  acc: 0.6380  lr: 0.0000 
ep/it:806- 101 niter:308800  1639m 30s (- 1410m 40s) completed: 53%) loss_emb: 0.0000  loss: 1.2272  loss_TTT: 0.0313  acc: 0.6344  lr: 0.0000 
ep/it:806- 151 niter:308850  1639m 47s (- 1410m 25s) completed: 53%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0311  acc: 0.6280  lr: 0.0000 
ep/it:806- 201 niter:308900  1640m 4s (- 1410m 10s) completed: 53%) loss_emb: 0.0000  loss: 1.2441  loss_TTT: 0.0304  acc: 0.6294  lr: 0.0000 
ep/it:806- 251 niter:308950  1640m 20s (- 1409m 54s) completed: 53%) loss_emb: 0.0000  loss: 1.2337  loss_TTT: 0.0294  acc: 0.6320  lr: 0.0000 
ep/it:806- 301 niter:309000  1640m 36s (- 1409m 39s) completed: 53%) loss_emb: 0.0000  loss: 1.2325  loss_TTT: 0.0306  acc: 0.6330  lr: 0.0000 
ep/it:806- 351 niter:309050  1640m 54s (- 1409m 24s) completed: 53%) loss_emb: 0.0000  loss: 1.2207  loss_TTT: 0.0306  acc: 0.6358  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:807-  18 niter:309100  1641m 14s (- 1409m 12s) completed: 53%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0312  acc: 0.6321  lr: 0.0000 
ep/it:807-  68 niter:309150  1641m 31s (- 1408m 57s) completed: 53%) loss_emb: 0.0000  loss: 1.2204  loss_TTT: 0.0304  acc: 0.6354  lr: 0.0000 
ep/it:807- 118 niter:309200  1641m 48s (- 1408m 41s) completed: 53%) loss_emb: 0.0000  loss: 1.2205  loss_TTT: 0.0303  acc: 0.6367  lr: 0.0000 
ep/it:807- 168 niter:309250  1642m 4s (- 1408m 26s) completed: 53%) loss_emb: 0.0000  loss: 1.1975  loss_TTT: 0.0297  acc: 0.6421  lr: 0.0000 
ep/it:807- 218 niter:309300  1642m 21s (- 1408m 11s) completed: 53%) loss_emb: 0.0000  loss: 1.2491  loss_TTT: 0.0315  acc: 0.6296  lr: 0.0000 
ep/it:807- 268 niter:309350  1642m 38s (- 1407m 56s) completed: 53%) loss_emb: 0.0000  loss: 1.2324  loss_TTT: 0.0317  acc: 0.6334  lr: 0.0000 
ep/it:807- 318 niter:309400  1642m 55s (- 1407m 41s) completed: 53%) loss_emb: 0.0000  loss: 1.2170  loss_TTT: 0.0307  acc: 0.6368  lr: 0.0000 
ep/it:807- 368 niter:309450  1643m 12s (- 1407m 25s) completed: 53%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0301  acc: 0.6336  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.600
ep/it:808-  35 niter:309500  1643m 32s (- 1407m 13s) completed: 53%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0306  acc: 0.6280  lr: 0.0000 
ep/it:808-  85 niter:309550  1643m 49s (- 1406m 58s) completed: 53%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0313  acc: 0.6283  lr: 0.0000 
ep/it:808- 135 niter:309600  1644m 5s (- 1406m 43s) completed: 53%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0308  acc: 0.6289  lr: 0.0000 
ep/it:808- 185 niter:309650  1644m 22s (- 1406m 27s) completed: 53%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0297  acc: 0.6270  lr: 0.0000 
ep/it:808- 235 niter:309700  1644m 38s (- 1406m 11s) completed: 53%) loss_emb: 0.0000  loss: 1.2320  loss_TTT: 0.0305  acc: 0.6330  lr: 0.0000 
ep/it:808- 285 niter:309750  1644m 54s (- 1405m 56s) completed: 53%) loss_emb: 0.0000  loss: 1.2300  loss_TTT: 0.0299  acc: 0.6332  lr: 0.0000 
ep/it:808- 335 niter:309800  1645m 10s (- 1405m 40s) completed: 53%) loss_emb: 0.0000  loss: 1.2129  loss_TTT: 0.0301  acc: 0.6381  lr: 0.0000 
Validation time:
Validation loss:1.393, accuracy:0.609
ep/it:809-   2 niter:309850  1645m 31s (- 1405m 28s) completed: 53%) loss_emb: 0.0000  loss: 1.2211  loss_TTT: 0.0311  acc: 0.6361  lr: 0.0000 
ep/it:809-  52 niter:309900  1645m 47s (- 1405m 13s) completed: 53%) loss_emb: 0.0000  loss: 1.2340  loss_TTT: 0.0302  acc: 0.6318  lr: 0.0000 
ep/it:809- 102 niter:309950  1646m 4s (- 1404m 57s) completed: 53%) loss_emb: 0.0000  loss: 1.2086  loss_TTT: 0.0294  acc: 0.6387  lr: 0.0000 
ep/it:809- 152 niter:310000  1646m 20s (- 1404m 41s) completed: 53%) loss_emb: 0.0000  loss: 1.2277  loss_TTT: 0.0301  acc: 0.6340  lr: 0.0000 
ep/it:809- 202 niter:310050  1646m 37s (- 1404m 26s) completed: 53%) loss_emb: 0.0000  loss: 1.2471  loss_TTT: 0.0312  acc: 0.6278  lr: 0.0000 
ep/it:809- 252 niter:310100  1646m 53s (- 1404m 11s) completed: 53%) loss_emb: 0.0000  loss: 1.2244  loss_TTT: 0.0305  acc: 0.6347  lr: 0.0000 
ep/it:809- 302 niter:310150  1647m 10s (- 1403m 55s) completed: 53%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0300  acc: 0.6288  lr: 0.0000 
ep/it:809- 352 niter:310200  1647m 26s (- 1403m 40s) completed: 53%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0313  acc: 0.6350  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.591

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:15,  2.92it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.72it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.30it/s]
100%|██████████| 47/47 [00:06<00:00,  7.33it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5414809971116483 avg: 2.5414809971116483
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5474061029963195 avg: 2.544443550053984
--> 	 Eva. Repeat 22 :, FID. 0.1902, Diversity Real. 9.5923, Diversity. 9.9642, R_precision_real. [0.53613281 0.71191406 0.8046875 ], R_precision. [0.5078125  0.71289062 0.79589844], matching_score_real. 2.8257, matching_score_pred. 2.9491, skate_ratio. 0.0454, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4941 (traj_fail_50cm (Traj err)): 0.2734 (kps_fail_20cm): 0.3524 (kps_fail_50cm (Loc. err)): 0.1849 (kps_mean_err(m) (Avg. err)): 0.3316 
ep/it:810-  19 niter:310250  1647m 54s (- 1403m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.2395  loss_TTT: 0.0296  acc: 0.6309  lr: 0.0000 
ep/it:810-  69 niter:310300  1648m 10s (- 1403m 19s) completed: 54%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0324  acc: 0.6281  lr: 0.0000 
ep/it:810- 119 niter:310350  1648m 26s (- 1403m 3s) completed: 54%) loss_emb: 0.0000  loss: 1.2329  loss_TTT: 0.0291  acc: 0.6323  lr: 0.0000 
ep/it:810- 169 niter:310400  1648m 43s (- 1402m 47s) completed: 54%) loss_emb: 0.0000  loss: 1.2385  loss_TTT: 0.0300  acc: 0.6303  lr: 0.0000 
ep/it:810- 219 niter:310450  1649m 0s (- 1402m 32s) completed: 54%) loss_emb: 0.0000  loss: 1.2350  loss_TTT: 0.0302  acc: 0.6320  lr: 0.0000 
ep/it:810- 269 niter:310500  1649m 16s (- 1402m 16s) completed: 54%) loss_emb: 0.0000  loss: 1.2241  loss_TTT: 0.0306  acc: 0.6350  lr: 0.0000 
ep/it:810- 319 niter:310550  1649m 33s (- 1402m 1s) completed: 54%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0323  acc: 0.6293  lr: 0.0000 
ep/it:810- 369 niter:310600  1649m 49s (- 1401m 46s) completed: 54%) loss_emb: 0.0000  loss: 1.2243  loss_TTT: 0.0305  acc: 0.6346  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.600
ep/it:811-  36 niter:310650  1650m 10s (- 1401m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.2094  loss_TTT: 0.0293  acc: 0.6389  lr: 0.0000 
ep/it:811-  86 niter:310700  1650m 26s (- 1401m 18s) completed: 54%) loss_emb: 0.0000  loss: 1.2444  loss_TTT: 0.0293  acc: 0.6295  lr: 0.0000 
ep/it:811- 136 niter:310750  1650m 42s (- 1401m 2s) completed: 54%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0304  acc: 0.6307  lr: 0.0000 
ep/it:811- 186 niter:310800  1650m 58s (- 1400m 46s) completed: 54%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0306  acc: 0.6312  lr: 0.0000 
ep/it:811- 236 niter:310850  1651m 14s (- 1400m 31s) completed: 54%) loss_emb: 0.0000  loss: 1.2355  loss_TTT: 0.0307  acc: 0.6324  lr: 0.0000 
ep/it:811- 286 niter:310900  1651m 30s (- 1400m 15s) completed: 54%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0305  acc: 0.6276  lr: 0.0000 
ep/it:811- 336 niter:310950  1651m 47s (- 1400m 0s) completed: 54%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0291  acc: 0.6247  lr: 0.0000 
Validation time:
Validation loss:1.392, accuracy:0.608
ep/it:812-   3 niter:311000  1652m 8s (- 1399m 48s) completed: 54%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0303  acc: 0.6311  lr: 0.0000 
ep/it:812-  53 niter:311050  1652m 25s (- 1399m 33s) completed: 54%) loss_emb: 0.0000  loss: 1.2261  loss_TTT: 0.0301  acc: 0.6349  lr: 0.0000 
ep/it:812- 103 niter:311100  1652m 41s (- 1399m 17s) completed: 54%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0311  acc: 0.6305  lr: 0.0000 
ep/it:812- 153 niter:311150  1652m 57s (- 1399m 1s) completed: 54%) loss_emb: 0.0000  loss: 1.2234  loss_TTT: 0.0292  acc: 0.6350  lr: 0.0000 
ep/it:812- 203 niter:311200  1653m 14s (- 1398m 46s) completed: 54%) loss_emb: 0.0000  loss: 1.2160  loss_TTT: 0.0311  acc: 0.6373  lr: 0.0000 
ep/it:812- 253 niter:311250  1653m 30s (- 1398m 30s) completed: 54%) loss_emb: 0.0000  loss: 1.1991  loss_TTT: 0.0283  acc: 0.6410  lr: 0.0000 
ep/it:812- 303 niter:311300  1653m 46s (- 1398m 14s) completed: 54%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0301  acc: 0.6330  lr: 0.0000 
ep/it:812- 353 niter:311350  1654m 2s (- 1397m 59s) completed: 54%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0302  acc: 0.6288  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.599
ep/it:813-  20 niter:311400  1654m 23s (- 1397m 46s) completed: 54%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0312  acc: 0.6300  lr: 0.0000 
ep/it:813-  70 niter:311450  1654m 39s (- 1397m 31s) completed: 54%) loss_emb: 0.0000  loss: 1.2469  loss_TTT: 0.0313  acc: 0.6293  lr: 0.0000 
ep/it:813- 120 niter:311500  1654m 56s (- 1397m 16s) completed: 54%) loss_emb: 0.0000  loss: 1.2074  loss_TTT: 0.0317  acc: 0.6387  lr: 0.0000 
ep/it:813- 170 niter:311550  1655m 13s (- 1397m 1s) completed: 54%) loss_emb: 0.0000  loss: 1.2441  loss_TTT: 0.0301  acc: 0.6295  lr: 0.0000 
ep/it:813- 220 niter:311600  1655m 30s (- 1396m 46s) completed: 54%) loss_emb: 0.0000  loss: 1.2278  loss_TTT: 0.0301  acc: 0.6348  lr: 0.0000 
ep/it:813- 270 niter:311650  1655m 47s (- 1396m 31s) completed: 54%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0294  acc: 0.6332  lr: 0.0000 
ep/it:813- 320 niter:311700  1656m 4s (- 1396m 15s) completed: 54%) loss_emb: 0.0000  loss: 1.2436  loss_TTT: 0.0307  acc: 0.6310  lr: 0.0000 
ep/it:813- 370 niter:311750  1656m 21s (- 1396m 0s) completed: 54%) loss_emb: 0.0000  loss: 1.2264  loss_TTT: 0.0302  acc: 0.6333  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:814-  37 niter:311800  1656m 41s (- 1395m 48s) completed: 54%) loss_emb: 0.0000  loss: 1.2220  loss_TTT: 0.0298  acc: 0.6347  lr: 0.0000 
ep/it:814-  87 niter:311850  1656m 57s (- 1395m 32s) completed: 54%) loss_emb: 0.0000  loss: 1.2289  loss_TTT: 0.0303  acc: 0.6340  lr: 0.0000 
ep/it:814- 137 niter:311900  1657m 15s (- 1395m 18s) completed: 54%) loss_emb: 0.0000  loss: 1.2230  loss_TTT: 0.0307  acc: 0.6354  lr: 0.0000 
ep/it:814- 187 niter:311950  1657m 31s (- 1395m 2s) completed: 54%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0300  acc: 0.6317  lr: 0.0000 
ep/it:814- 237 niter:312000  1657m 48s (- 1394m 47s) completed: 54%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0306  acc: 0.6299  lr: 0.0000 
ep/it:814- 287 niter:312050  1658m 4s (- 1394m 31s) completed: 54%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0303  acc: 0.6295  lr: 0.0000 
ep/it:814- 337 niter:312100  1658m 22s (- 1394m 17s) completed: 54%) loss_emb: 0.0000  loss: 1.2388  loss_TTT: 0.0307  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.605
ep/it:815-   4 niter:312150  1658m 42s (- 1394m 4s) completed: 54%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0307  acc: 0.6307  lr: 0.0000 
ep/it:815-  54 niter:312200  1658m 59s (- 1393m 49s) completed: 54%) loss_emb: 0.0000  loss: 1.2419  loss_TTT: 0.0289  acc: 0.6313  lr: 0.0000 
ep/it:815- 104 niter:312250  1659m 15s (- 1393m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.2115  loss_TTT: 0.0301  acc: 0.6398  lr: 0.0000 
ep/it:815- 154 niter:312300  1659m 32s (- 1393m 18s) completed: 54%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0303  acc: 0.6290  lr: 0.0000 
ep/it:815- 204 niter:312350  1659m 48s (- 1393m 3s) completed: 54%) loss_emb: 0.0000  loss: 1.2480  loss_TTT: 0.0310  acc: 0.6297  lr: 0.0000 
ep/it:815- 254 niter:312400  1660m 5s (- 1392m 47s) completed: 54%) loss_emb: 0.0000  loss: 1.2055  loss_TTT: 0.0312  acc: 0.6402  lr: 0.0000 
ep/it:815- 304 niter:312450  1660m 21s (- 1392m 32s) completed: 54%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0305  acc: 0.6289  lr: 0.0000 
ep/it:815- 354 niter:312500  1660m 38s (- 1392m 16s) completed: 54%) loss_emb: 0.0000  loss: 1.2361  loss_TTT: 0.0292  acc: 0.6311  lr: 0.0000 
Validation time:
Validation loss:1.392, accuracy:0.609
ep/it:816-  21 niter:312550  1660m 59s (- 1392m 5s) completed: 54%) loss_emb: 0.0000  loss: 1.2260  loss_TTT: 0.0312  acc: 0.6340  lr: 0.0000 
ep/it:816-  71 niter:312600  1661m 15s (- 1391m 49s) completed: 54%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0319  acc: 0.6295  lr: 0.0000 
ep/it:816- 121 niter:312650  1661m 32s (- 1391m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.2307  loss_TTT: 0.0308  acc: 0.6328  lr: 0.0000 
ep/it:816- 171 niter:312700  1661m 48s (- 1391m 18s) completed: 54%) loss_emb: 0.0000  loss: 1.2264  loss_TTT: 0.0302  acc: 0.6332  lr: 0.0000 
ep/it:816- 221 niter:312750  1662m 5s (- 1391m 3s) completed: 54%) loss_emb: 0.0000  loss: 1.2396  loss_TTT: 0.0311  acc: 0.6316  lr: 0.0000 
ep/it:816- 271 niter:312800  1662m 22s (- 1390m 47s) completed: 54%) loss_emb: 0.0000  loss: 1.2313  loss_TTT: 0.0297  acc: 0.6345  lr: 0.0000 
ep/it:816- 321 niter:312850  1662m 39s (- 1390m 32s) completed: 54%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0299  acc: 0.6325  lr: 0.0000 
ep/it:816- 371 niter:312900  1662m 55s (- 1390m 16s) completed: 54%) loss_emb: 0.0000  loss: 1.2142  loss_TTT: 0.0314  acc: 0.6387  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.599
ep/it:817-  38 niter:312950  1663m 16s (- 1390m 5s) completed: 54%) loss_emb: 0.0000  loss: 1.2278  loss_TTT: 0.0306  acc: 0.6342  lr: 0.0000 
ep/it:817-  88 niter:313000  1663m 33s (- 1389m 50s) completed: 54%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0307  acc: 0.6238  lr: 0.0000 
ep/it:817- 138 niter:313050  1663m 50s (- 1389m 35s) completed: 54%) loss_emb: 0.0000  loss: 1.2498  loss_TTT: 0.0298  acc: 0.6282  lr: 0.0000 
ep/it:817- 188 niter:313100  1664m 6s (- 1389m 19s) completed: 54%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0301  acc: 0.6339  lr: 0.0000 
ep/it:817- 238 niter:313150  1664m 23s (- 1389m 4s) completed: 54%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0305  acc: 0.6360  lr: 0.0000 
ep/it:817- 288 niter:313200  1664m 39s (- 1388m 48s) completed: 54%) loss_emb: 0.0000  loss: 1.2201  loss_TTT: 0.0312  acc: 0.6366  lr: 0.0000 
ep/it:817- 338 niter:313250  1664m 56s (- 1388m 33s) completed: 54%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0297  acc: 0.6345  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.600
ep/it:818-   5 niter:313300  1665m 17s (- 1388m 21s) completed: 54%) loss_emb: 0.0000  loss: 1.2268  loss_TTT: 0.0309  acc: 0.6343  lr: 0.0000 
ep/it:818-  55 niter:313350  1665m 33s (- 1388m 6s) completed: 54%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0304  acc: 0.6255  lr: 0.0000 
ep/it:818- 105 niter:313400  1665m 50s (- 1387m 50s) completed: 54%) loss_emb: 0.0000  loss: 1.2447  loss_TTT: 0.0301  acc: 0.6290  lr: 0.0000 
ep/it:818- 155 niter:313450  1666m 7s (- 1387m 35s) completed: 54%) loss_emb: 0.0000  loss: 1.2213  loss_TTT: 0.0300  acc: 0.6359  lr: 0.0000 
ep/it:818- 205 niter:313500  1666m 24s (- 1387m 20s) completed: 54%) loss_emb: 0.0000  loss: 1.2103  loss_TTT: 0.0296  acc: 0.6394  lr: 0.0000 
ep/it:818- 255 niter:313550  1666m 40s (- 1387m 5s) completed: 54%) loss_emb: 0.0000  loss: 1.2372  loss_TTT: 0.0324  acc: 0.6322  lr: 0.0000 
ep/it:818- 305 niter:313600  1666m 57s (- 1386m 49s) completed: 54%) loss_emb: 0.0000  loss: 1.2133  loss_TTT: 0.0310  acc: 0.6379  lr: 0.0000 
ep/it:818- 355 niter:313650  1667m 14s (- 1386m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.2185  loss_TTT: 0.0297  acc: 0.6355  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.597
ep/it:819-  22 niter:313700  1667m 34s (- 1386m 22s) completed: 54%) loss_emb: 0.0000  loss: 1.2233  loss_TTT: 0.0311  acc: 0.6352  lr: 0.0000 
ep/it:819-  72 niter:313750  1667m 51s (- 1386m 7s) completed: 54%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0314  acc: 0.6300  lr: 0.0000 
ep/it:819- 122 niter:313800  1668m 8s (- 1385m 52s) completed: 54%) loss_emb: 0.0000  loss: 1.2289  loss_TTT: 0.0308  acc: 0.6327  lr: 0.0000 
ep/it:819- 172 niter:313850  1668m 24s (- 1385m 36s) completed: 54%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0302  acc: 0.6319  lr: 0.0000 
ep/it:819- 222 niter:313900  1668m 40s (- 1385m 20s) completed: 54%) loss_emb: 0.0000  loss: 1.2134  loss_TTT: 0.0305  acc: 0.6383  lr: 0.0000 
ep/it:819- 272 niter:313950  1668m 57s (- 1385m 4s) completed: 54%) loss_emb: 0.0000  loss: 1.2437  loss_TTT: 0.0307  acc: 0.6296  lr: 0.0000 
ep/it:819- 322 niter:314000  1669m 13s (- 1384m 48s) completed: 54%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0311  acc: 0.6300  lr: 0.0000 
ep/it:819- 372 niter:314050  1669m 30s (- 1384m 34s) completed: 54%) loss_emb: 0.0000  loss: 1.2332  loss_TTT: 0.0314  acc: 0.6332  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.594

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:16,  2.80it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.69it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.02it/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:  2.5474979947321117 avg: 2.5474979947321117
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.529699427075684 avg: 2.538598710903898
--> 	 Eva. Repeat 22 :, FID. 0.1151, Diversity Real. 9.4420, Diversity. 9.8286, R_precision_real. [0.54101562 0.72070312 0.80273438], R_precision. [0.52050781 0.70507812 0.79492188], matching_score_real. 2.8970, matching_score_pred. 2.9608, skate_ratio. 0.0458, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4795 (traj_fail_50cm (Traj err)): 0.2666 (kps_fail_20cm): 0.3281 (kps_fail_50cm (Loc. err)): 0.1748 (kps_mean_err(m) (Avg. err)): 0.3154 
ep/it:820-  39 niter:314100  1670m 0s (- 1384m 30s) completed: 54%) loss_emb: 0.0000  loss: 1.2262  loss_TTT: 0.0301  acc: 0.6346  lr: 0.0000 
ep/it:820-  89 niter:314150  1670m 17s (- 1384m 14s) completed: 54%) loss_emb: 0.0000  loss: 1.2269  loss_TTT: 0.0294  acc: 0.6357  lr: 0.0000 
ep/it:820- 139 niter:314200  1670m 33s (- 1383m 59s) completed: 54%) loss_emb: 0.0000  loss: 1.2286  loss_TTT: 0.0315  acc: 0.6342  lr: 0.0000 
ep/it:820- 189 niter:314250  1670m 49s (- 1383m 43s) completed: 54%) loss_emb: 0.0000  loss: 1.2108  loss_TTT: 0.0299  acc: 0.6380  lr: 0.0000 
ep/it:820- 239 niter:314300  1671m 6s (- 1383m 27s) completed: 54%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0307  acc: 0.6266  lr: 0.0000 
ep/it:820- 289 niter:314350  1671m 22s (- 1383m 11s) completed: 54%) loss_emb: 0.0000  loss: 1.2319  loss_TTT: 0.0308  acc: 0.6317  lr: 0.0000 
ep/it:820- 339 niter:314400  1671m 38s (- 1382m 56s) completed: 54%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0310  acc: 0.6260  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.601
ep/it:821-   6 niter:314450  1671m 58s (- 1382m 43s) completed: 54%) loss_emb: 0.0000  loss: 1.2313  loss_TTT: 0.0307  acc: 0.6326  lr: 0.0000 
ep/it:821-  56 niter:314500  1672m 15s (- 1382m 28s) completed: 54%) loss_emb: 0.0000  loss: 1.2408  loss_TTT: 0.0304  acc: 0.6296  lr: 0.0000 
ep/it:821- 106 niter:314550  1672m 32s (- 1382m 13s) completed: 54%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0307  acc: 0.6339  lr: 0.0000 
ep/it:821- 156 niter:314600  1672m 49s (- 1381m 58s) completed: 54%) loss_emb: 0.0000  loss: 1.2105  loss_TTT: 0.0305  acc: 0.6382  lr: 0.0000 
ep/it:821- 206 niter:314650  1673m 6s (- 1381m 43s) completed: 54%) loss_emb: 0.0000  loss: 1.2335  loss_TTT: 0.0288  acc: 0.6317  lr: 0.0000 
ep/it:821- 256 niter:314700  1673m 22s (- 1381m 27s) completed: 54%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0307  acc: 0.6275  lr: 0.0000 
ep/it:821- 306 niter:314750  1673m 39s (- 1381m 12s) completed: 54%) loss_emb: 0.0000  loss: 1.2334  loss_TTT: 0.0302  acc: 0.6321  lr: 0.0000 
ep/it:821- 356 niter:314800  1673m 56s (- 1380m 56s) completed: 54%) loss_emb: 0.0000  loss: 1.2250  loss_TTT: 0.0301  acc: 0.6342  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.602
ep/it:822-  23 niter:314850  1674m 15s (- 1380m 43s) completed: 54%) loss_emb: 0.0000  loss: 1.2210  loss_TTT: 0.0296  acc: 0.6370  lr: 0.0000 
ep/it:822-  73 niter:314900  1674m 32s (- 1380m 28s) completed: 54%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0306  acc: 0.6301  lr: 0.0000 
ep/it:822- 123 niter:314950  1674m 48s (- 1380m 12s) completed: 54%) loss_emb: 0.0000  loss: 1.2446  loss_TTT: 0.0310  acc: 0.6297  lr: 0.0000 
ep/it:822- 173 niter:315000  1675m 5s (- 1379m 57s) completed: 54%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0298  acc: 0.6276  lr: 0.0000 
ep/it:822- 223 niter:315050  1675m 22s (- 1379m 42s) completed: 54%) loss_emb: 0.0000  loss: 1.2277  loss_TTT: 0.0308  acc: 0.6344  lr: 0.0000 
ep/it:822- 273 niter:315100  1675m 38s (- 1379m 26s) completed: 54%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0306  acc: 0.6316  lr: 0.0000 
ep/it:822- 323 niter:315150  1675m 54s (- 1379m 10s) completed: 54%) loss_emb: 0.0000  loss: 1.2186  loss_TTT: 0.0318  acc: 0.6370  lr: 0.0000 
ep/it:822- 373 niter:315200  1676m 11s (- 1378m 55s) completed: 54%) loss_emb: 0.0000  loss: 1.2323  loss_TTT: 0.0303  acc: 0.6340  lr: 0.0000 
Validation time:
Validation loss:1.404, accuracy:0.606
ep/it:823-  40 niter:315250  1676m 31s (- 1378m 42s) completed: 54%) loss_emb: 0.0000  loss: 1.2339  loss_TTT: 0.0304  acc: 0.6313  lr: 0.0000 
ep/it:823-  90 niter:315300  1676m 47s (- 1378m 26s) completed: 54%) loss_emb: 0.0000  loss: 1.2229  loss_TTT: 0.0310  acc: 0.6361  lr: 0.0000 
ep/it:823- 140 niter:315350  1677m 3s (- 1378m 11s) completed: 54%) loss_emb: 0.0000  loss: 1.2115  loss_TTT: 0.0302  acc: 0.6397  lr: 0.0000 
ep/it:823- 190 niter:315400  1677m 19s (- 1377m 55s) completed: 54%) loss_emb: 0.0000  loss: 1.2236  loss_TTT: 0.0299  acc: 0.6355  lr: 0.0000 
ep/it:823- 240 niter:315450  1677m 36s (- 1377m 39s) completed: 54%) loss_emb: 0.0000  loss: 1.2374  loss_TTT: 0.0297  acc: 0.6318  lr: 0.0000 
ep/it:823- 290 niter:315500  1677m 52s (- 1377m 24s) completed: 54%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0308  acc: 0.6305  lr: 0.0000 
ep/it:823- 340 niter:315550  1678m 9s (- 1377m 8s) completed: 54%) loss_emb: 0.0000  loss: 1.2112  loss_TTT: 0.0303  acc: 0.6379  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.599
ep/it:824-   7 niter:315600  1678m 29s (- 1376m 55s) completed: 54%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0308  acc: 0.6316  lr: 0.0000 
ep/it:824-  57 niter:315650  1678m 45s (- 1376m 40s) completed: 54%) loss_emb: 0.0000  loss: 1.1969  loss_TTT: 0.0308  acc: 0.6425  lr: 0.0000 
ep/it:824- 107 niter:315700  1679m 2s (- 1376m 25s) completed: 54%) loss_emb: 0.0000  loss: 1.2314  loss_TTT: 0.0305  acc: 0.6321  lr: 0.0000 
ep/it:824- 157 niter:315750  1679m 19s (- 1376m 9s) completed: 54%) loss_emb: 0.0000  loss: 1.2361  loss_TTT: 0.0295  acc: 0.6317  lr: 0.0000 
ep/it:824- 207 niter:315800  1679m 36s (- 1375m 54s) completed: 54%) loss_emb: 0.0000  loss: 1.2065  loss_TTT: 0.0304  acc: 0.6398  lr: 0.0000 
ep/it:824- 257 niter:315850  1679m 53s (- 1375m 39s) completed: 54%) loss_emb: 0.0000  loss: 1.2252  loss_TTT: 0.0297  acc: 0.6349  lr: 0.0000 
ep/it:824- 307 niter:315900  1680m 9s (- 1375m 23s) completed: 54%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0298  acc: 0.6300  lr: 0.0000 
ep/it:824- 357 niter:315950  1680m 26s (- 1375m 8s) completed: 54%) loss_emb: 0.0000  loss: 1.2340  loss_TTT: 0.0310  acc: 0.6323  lr: 0.0000 
Validation time:
Validation loss:1.401, accuracy:0.607
ep/it:825-  24 niter:316000  1680m 46s (- 1374m 56s) completed: 55%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0288  acc: 0.6328  lr: 0.0000 
ep/it:825-  74 niter:316050  1681m 3s (- 1374m 41s) completed: 55%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0301  acc: 0.6298  lr: 0.0000 
ep/it:825- 124 niter:316100  1681m 19s (- 1374m 25s) completed: 55%) loss_emb: 0.0000  loss: 1.2131  loss_TTT: 0.0318  acc: 0.6378  lr: 0.0000 
ep/it:825- 174 niter:316150  1681m 36s (- 1374m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0306  acc: 0.6338  lr: 0.0000 
ep/it:825- 224 niter:316200  1681m 52s (- 1373m 54s) completed: 55%) loss_emb: 0.0000  loss: 1.2280  loss_TTT: 0.0297  acc: 0.6345  lr: 0.0000 
ep/it:825- 274 niter:316250  1682m 9s (- 1373m 39s) completed: 55%) loss_emb: 0.0000  loss: 1.2411  loss_TTT: 0.0298  acc: 0.6315  lr: 0.0000 
ep/it:825- 324 niter:316300  1682m 26s (- 1373m 23s) completed: 55%) loss_emb: 0.0000  loss: 1.2204  loss_TTT: 0.0294  acc: 0.6361  lr: 0.0000 
ep/it:825- 374 niter:316350  1682m 42s (- 1373m 8s) completed: 55%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0308  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.399, accuracy:0.605
ep/it:826-  41 niter:316400  1683m 3s (- 1372m 56s) completed: 55%) loss_emb: 0.0000  loss: 1.2028  loss_TTT: 0.0303  acc: 0.6414  lr: 0.0000 
ep/it:826-  91 niter:316450  1683m 20s (- 1372m 41s) completed: 55%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0312  acc: 0.6313  lr: 0.0000 
ep/it:826- 141 niter:316500  1683m 37s (- 1372m 25s) completed: 55%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0308  acc: 0.6303  lr: 0.0000 
ep/it:826- 191 niter:316550  1683m 54s (- 1372m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.2348  loss_TTT: 0.0300  acc: 0.6333  lr: 0.0000 
ep/it:826- 241 niter:316600  1684m 11s (- 1371m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.2181  loss_TTT: 0.0294  acc: 0.6371  lr: 0.0000 
ep/it:826- 291 niter:316650  1684m 27s (- 1371m 39s) completed: 55%) loss_emb: 0.0000  loss: 1.2148  loss_TTT: 0.0306  acc: 0.6370  lr: 0.0000 
ep/it:826- 341 niter:316700  1684m 44s (- 1371m 24s) completed: 55%) loss_emb: 0.0000  loss: 1.2174  loss_TTT: 0.0294  acc: 0.6356  lr: 0.0000 
Validation time:
Validation loss:1.417, accuracy:0.600
ep/it:827-   8 niter:316750  1685m 4s (- 1371m 12s) completed: 55%) loss_emb: 0.0000  loss: 1.2210  loss_TTT: 0.0309  acc: 0.6350  lr: 0.0000 
ep/it:827-  58 niter:316800  1685m 21s (- 1370m 56s) completed: 55%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0308  acc: 0.6336  lr: 0.0000 
ep/it:827- 108 niter:316850  1685m 37s (- 1370m 41s) completed: 55%) loss_emb: 0.0000  loss: 1.1922  loss_TTT: 0.0296  acc: 0.6439  lr: 0.0000 
ep/it:827- 158 niter:316900  1685m 54s (- 1370m 25s) completed: 55%) loss_emb: 0.0000  loss: 1.2237  loss_TTT: 0.0314  acc: 0.6355  lr: 0.0000 
ep/it:827- 208 niter:316950  1686m 10s (- 1370m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.2181  loss_TTT: 0.0302  acc: 0.6369  lr: 0.0000 
ep/it:827- 258 niter:317000  1686m 27s (- 1369m 54s) completed: 55%) loss_emb: 0.0000  loss: 1.2301  loss_TTT: 0.0314  acc: 0.6343  lr: 0.0000 
ep/it:827- 308 niter:317050  1686m 44s (- 1369m 39s) completed: 55%) loss_emb: 0.0000  loss: 1.2227  loss_TTT: 0.0294  acc: 0.6347  lr: 0.0000 
ep/it:827- 358 niter:317100  1687m 1s (- 1369m 24s) completed: 55%) loss_emb: 0.0000  loss: 1.2265  loss_TTT: 0.0312  acc: 0.6343  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.601
ep/it:828-  25 niter:317150  1687m 22s (- 1369m 12s) completed: 55%) loss_emb: 0.0000  loss: 1.2274  loss_TTT: 0.0293  acc: 0.6336  lr: 0.0000 
ep/it:828-  75 niter:317200  1687m 38s (- 1368m 56s) completed: 55%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0326  acc: 0.6271  lr: 0.0000 
ep/it:828- 125 niter:317250  1687m 55s (- 1368m 41s) completed: 55%) loss_emb: 0.0000  loss: 1.1974  loss_TTT: 0.0295  acc: 0.6427  lr: 0.0000 
ep/it:828- 175 niter:317300  1688m 11s (- 1368m 26s) completed: 55%) loss_emb: 0.0000  loss: 1.2264  loss_TTT: 0.0299  acc: 0.6331  lr: 0.0000 
ep/it:828- 225 niter:317350  1688m 28s (- 1368m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.2321  loss_TTT: 0.0310  acc: 0.6336  lr: 0.0000 
ep/it:828- 275 niter:317400  1688m 45s (- 1367m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0301  acc: 0.6314  lr: 0.0000 
ep/it:828- 325 niter:317450  1689m 2s (- 1367m 40s) completed: 55%) loss_emb: 0.0000  loss: 1.2364  loss_TTT: 0.0304  acc: 0.6320  lr: 0.0000 
ep/it:828- 375 niter:317500  1689m 19s (- 1367m 25s) completed: 55%) loss_emb: 0.0000  loss: 1.2153  loss_TTT: 0.0311  acc: 0.6377  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.599
ep/it:829-  42 niter:317550  1689m 40s (- 1367m 13s) completed: 55%) loss_emb: 0.0000  loss: 1.2263  loss_TTT: 0.0299  acc: 0.6343  lr: 0.0000 
ep/it:829-  92 niter:317600  1689m 56s (- 1366m 57s) completed: 55%) loss_emb: 0.0000  loss: 1.2309  loss_TTT: 0.0312  acc: 0.6331  lr: 0.0000 
ep/it:829- 142 niter:317650  1690m 13s (- 1366m 42s) completed: 55%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0300  acc: 0.6259  lr: 0.0000 
ep/it:829- 192 niter:317700  1690m 29s (- 1366m 26s) completed: 55%) loss_emb: 0.0000  loss: 1.2042  loss_TTT: 0.0313  acc: 0.6395  lr: 0.0000 
ep/it:829- 242 niter:317750  1690m 45s (- 1366m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.2290  loss_TTT: 0.0315  acc: 0.6346  lr: 0.0000 
ep/it:829- 292 niter:317800  1691m 2s (- 1365m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.2256  loss_TTT: 0.0301  acc: 0.6350  lr: 0.0000 
ep/it:829- 342 niter:317850  1691m 19s (- 1365m 39s) completed: 55%) loss_emb: 0.0000  loss: 1.2474  loss_TTT: 0.0293  acc: 0.6285  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.606

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.52it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.66it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.99it/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:  2.5564709710888565 avg: 2.5564709710888565
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.537464499939233 avg: 2.5469677355140448
--> 	 Eva. Repeat 22 :, FID. 0.1385, Diversity Real. 9.7273, Diversity. 9.8725, R_precision_real. [0.52148438 0.72363281 0.81933594], R_precision. [0.51855469 0.71777344 0.828125  ], matching_score_real. 2.8745, matching_score_pred. 2.8646, skate_ratio. 0.0460, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5039 (traj_fail_50cm (Traj err)): 0.2900 (kps_fail_20cm): 0.3601 (kps_fail_50cm (Loc. err)): 0.1952 (kps_mean_err(m) (Avg. err)): 0.3413 
ep/it:830-   9 niter:317900  1691m 47s (- 1365m 34s) completed: 55%) loss_emb: 0.0000  loss: 1.2222  loss_TTT: 0.0291  acc: 0.6351  lr: 0.0000 
ep/it:830-  59 niter:317950  1692m 4s (- 1365m 18s) completed: 55%) loss_emb: 0.0000  loss: 1.2101  loss_TTT: 0.0310  acc: 0.6393  lr: 0.0000 
ep/it:830- 109 niter:318000  1692m 20s (- 1365m 3s) completed: 55%) loss_emb: 0.0000  loss: 1.2380  loss_TTT: 0.0319  acc: 0.6316  lr: 0.0000 
ep/it:830- 159 niter:318050  1692m 37s (- 1364m 47s) completed: 55%) loss_emb: 0.0000  loss: 1.2083  loss_TTT: 0.0295  acc: 0.6393  lr: 0.0000 
ep/it:830- 209 niter:318100  1692m 54s (- 1364m 32s) completed: 55%) loss_emb: 0.0000  loss: 1.2187  loss_TTT: 0.0311  acc: 0.6364  lr: 0.0000 
ep/it:830- 259 niter:318150  1693m 10s (- 1364m 17s) completed: 55%) loss_emb: 0.0000  loss: 1.2209  loss_TTT: 0.0296  acc: 0.6350  lr: 0.0000 
ep/it:830- 309 niter:318200  1693m 27s (- 1364m 1s) completed: 55%) loss_emb: 0.0000  loss: 1.2538  loss_TTT: 0.0306  acc: 0.6270  lr: 0.0000 
ep/it:830- 359 niter:318250  1693m 44s (- 1363m 46s) completed: 55%) loss_emb: 0.0000  loss: 1.2416  loss_TTT: 0.0298  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.597
ep/it:831-  26 niter:318300  1694m 4s (- 1363m 33s) completed: 55%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0310  acc: 0.6315  lr: 0.0000 
ep/it:831-  76 niter:318350  1694m 21s (- 1363m 18s) completed: 55%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0310  acc: 0.6289  lr: 0.0000 
ep/it:831- 126 niter:318400  1694m 37s (- 1363m 2s) completed: 55%) loss_emb: 0.0000  loss: 1.2202  loss_TTT: 0.0312  acc: 0.6368  lr: 0.0000 
ep/it:831- 176 niter:318450  1694m 54s (- 1362m 47s) completed: 55%) loss_emb: 0.0000  loss: 1.2238  loss_TTT: 0.0308  acc: 0.6358  lr: 0.0000 
ep/it:831- 226 niter:318500  1695m 11s (- 1362m 32s) completed: 55%) loss_emb: 0.0000  loss: 1.2424  loss_TTT: 0.0311  acc: 0.6304  lr: 0.0000 
ep/it:831- 276 niter:318550  1695m 27s (- 1362m 16s) completed: 55%) loss_emb: 0.0000  loss: 1.2373  loss_TTT: 0.0289  acc: 0.6315  lr: 0.0000 
ep/it:831- 326 niter:318600  1695m 43s (- 1362m 0s) completed: 55%) loss_emb: 0.0000  loss: 1.2266  loss_TTT: 0.0313  acc: 0.6331  lr: 0.0000 
ep/it:831- 376 niter:318650  1695m 59s (- 1361m 44s) completed: 55%) loss_emb: 0.0000  loss: 1.2368  loss_TTT: 0.0298  acc: 0.6323  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.603
ep/it:832-  43 niter:318700  1696m 20s (- 1361m 32s) completed: 55%) loss_emb: 0.0000  loss: 1.2230  loss_TTT: 0.0303  acc: 0.6362  lr: 0.0000 
ep/it:832-  93 niter:318750  1696m 36s (- 1361m 16s) completed: 55%) loss_emb: 0.0000  loss: 1.2070  loss_TTT: 0.0306  acc: 0.6396  lr: 0.0000 
ep/it:832- 143 niter:318800  1696m 52s (- 1361m 0s) completed: 55%) loss_emb: 0.0000  loss: 1.1978  loss_TTT: 0.0291  acc: 0.6418  lr: 0.0000 
ep/it:832- 193 niter:318850  1697m 8s (- 1360m 44s) completed: 55%) loss_emb: 0.0000  loss: 1.2127  loss_TTT: 0.0302  acc: 0.6389  lr: 0.0000 
ep/it:832- 243 niter:318900  1697m 24s (- 1360m 28s) completed: 55%) loss_emb: 0.0000  loss: 1.2629  loss_TTT: 0.0306  acc: 0.6243  lr: 0.0000 
ep/it:832- 293 niter:318950  1697m 40s (- 1360m 13s) completed: 55%) loss_emb: 0.0000  loss: 1.2319  loss_TTT: 0.0299  acc: 0.6325  lr: 0.0000 
ep/it:832- 343 niter:319000  1697m 56s (- 1359m 57s) completed: 55%) loss_emb: 0.0000  loss: 1.2344  loss_TTT: 0.0293  acc: 0.6313  lr: 0.0000 
Validation time:
Validation loss:1.364, accuracy:0.614
ep/it:833-  10 niter:319050  1698m 16s (- 1359m 44s) completed: 55%) loss_emb: 0.0000  loss: 1.2100  loss_TTT: 0.0295  acc: 0.6397  lr: 0.0000 
ep/it:833-  60 niter:319100  1698m 33s (- 1359m 29s) completed: 55%) loss_emb: 0.0000  loss: 1.2129  loss_TTT: 0.0306  acc: 0.6380  lr: 0.0000 
ep/it:833- 110 niter:319150  1698m 49s (- 1359m 13s) completed: 55%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0302  acc: 0.6320  lr: 0.0000 
ep/it:833- 160 niter:319200  1699m 6s (- 1358m 57s) completed: 55%) loss_emb: 0.0000  loss: 1.2104  loss_TTT: 0.0314  acc: 0.6387  lr: 0.0000 
ep/it:833- 210 niter:319250  1699m 22s (- 1358m 42s) completed: 55%) loss_emb: 0.0000  loss: 1.2372  loss_TTT: 0.0294  acc: 0.6317  lr: 0.0000 
ep/it:833- 260 niter:319300  1699m 38s (- 1358m 26s) completed: 55%) loss_emb: 0.0000  loss: 1.1919  loss_TTT: 0.0284  acc: 0.6438  lr: 0.0000 
ep/it:833- 310 niter:319350  1699m 55s (- 1358m 10s) completed: 55%) loss_emb: 0.0000  loss: 1.2012  loss_TTT: 0.0308  acc: 0.6421  lr: 0.0000 
ep/it:833- 360 niter:319400  1700m 11s (- 1357m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0306  acc: 0.6315  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.603
ep/it:834-  27 niter:319450  1700m 31s (- 1357m 42s) completed: 55%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0298  acc: 0.6288  lr: 0.0000 
ep/it:834-  77 niter:319500  1700m 47s (- 1357m 26s) completed: 55%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0326  acc: 0.6319  lr: 0.0000 
ep/it:834- 127 niter:319550  1701m 4s (- 1357m 11s) completed: 55%) loss_emb: 0.0000  loss: 1.2200  loss_TTT: 0.0292  acc: 0.6357  lr: 0.0000 
ep/it:834- 177 niter:319600  1701m 20s (- 1356m 55s) completed: 55%) loss_emb: 0.0000  loss: 1.2105  loss_TTT: 0.0293  acc: 0.6394  lr: 0.0000 
ep/it:834- 227 niter:319650  1701m 36s (- 1356m 39s) completed: 55%) loss_emb: 0.0000  loss: 1.2134  loss_TTT: 0.0299  acc: 0.6377  lr: 0.0000 
ep/it:834- 277 niter:319700  1701m 53s (- 1356m 23s) completed: 55%) loss_emb: 0.0000  loss: 1.2309  loss_TTT: 0.0300  acc: 0.6325  lr: 0.0000 
ep/it:834- 327 niter:319750  1702m 10s (- 1356m 8s) completed: 55%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0313  acc: 0.6279  lr: 0.0000 
ep/it:834- 377 niter:319800  1702m 26s (- 1355m 52s) completed: 55%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0301  acc: 0.6327  lr: 0.0000 
Validation time:
Validation loss:1.440, accuracy:0.596
ep/it:835-  44 niter:319850  1702m 46s (- 1355m 40s) completed: 55%) loss_emb: 0.0000  loss: 1.2350  loss_TTT: 0.0305  acc: 0.6316  lr: 0.0000 
ep/it:835-  94 niter:319900  1703m 2s (- 1355m 24s) completed: 55%) loss_emb: 0.0000  loss: 1.2385  loss_TTT: 0.0296  acc: 0.6317  lr: 0.0000 
ep/it:835- 144 niter:319950  1703m 18s (- 1355m 8s) completed: 55%) loss_emb: 0.0000  loss: 1.2240  loss_TTT: 0.0302  acc: 0.6344  lr: 0.0000 
ep/it:835- 194 niter:320000  1703m 34s (- 1354m 52s) completed: 55%) loss_emb: 0.0000  loss: 1.2270  loss_TTT: 0.0297  acc: 0.6346  lr: 0.0000 
ep/it:835- 244 niter:320050  1703m 50s (- 1354m 36s) completed: 55%) loss_emb: 0.0000  loss: 1.2075  loss_TTT: 0.0296  acc: 0.6402  lr: 0.0000 
ep/it:835- 294 niter:320100  1704m 6s (- 1354m 20s) completed: 55%) loss_emb: 0.0000  loss: 1.2358  loss_TTT: 0.0302  acc: 0.6325  lr: 0.0000 
ep/it:835- 344 niter:320150  1704m 23s (- 1354m 5s) completed: 55%) loss_emb: 0.0000  loss: 1.2372  loss_TTT: 0.0304  acc: 0.6324  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.602
ep/it:836-  11 niter:320200  1704m 44s (- 1353m 53s) completed: 55%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0292  acc: 0.6298  lr: 0.0000 
ep/it:836-  61 niter:320250  1705m 0s (- 1353m 37s) completed: 55%) loss_emb: 0.0000  loss: 1.2342  loss_TTT: 0.0307  acc: 0.6320  lr: 0.0000 
ep/it:836- 111 niter:320300  1705m 16s (- 1353m 21s) completed: 55%) loss_emb: 0.0000  loss: 1.2095  loss_TTT: 0.0302  acc: 0.6386  lr: 0.0000 
ep/it:836- 161 niter:320350  1705m 33s (- 1353m 6s) completed: 55%) loss_emb: 0.0000  loss: 1.2126  loss_TTT: 0.0292  acc: 0.6373  lr: 0.0000 
ep/it:836- 211 niter:320400  1705m 50s (- 1352m 50s) completed: 55%) loss_emb: 0.0000  loss: 1.2023  loss_TTT: 0.0295  acc: 0.6410  lr: 0.0000 
ep/it:836- 261 niter:320450  1706m 7s (- 1352m 35s) completed: 55%) loss_emb: 0.0000  loss: 1.2402  loss_TTT: 0.0306  acc: 0.6306  lr: 0.0000 
ep/it:836- 311 niter:320500  1706m 23s (- 1352m 20s) completed: 55%) loss_emb: 0.0000  loss: 1.2295  loss_TTT: 0.0307  acc: 0.6331  lr: 0.0000 
ep/it:836- 361 niter:320550  1706m 41s (- 1352m 5s) completed: 55%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0304  acc: 0.6319  lr: 0.0000 
Validation time:
Validation loss:1.362, accuracy:0.615
ep/it:837-  28 niter:320600  1707m 1s (- 1351m 53s) completed: 55%) loss_emb: 0.0000  loss: 1.2238  loss_TTT: 0.0296  acc: 0.6362  lr: 0.0000 
ep/it:837-  78 niter:320650  1707m 18s (- 1351m 37s) completed: 55%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0316  acc: 0.6290  lr: 0.0000 
ep/it:837- 128 niter:320700  1707m 35s (- 1351m 22s) completed: 55%) loss_emb: 0.0000  loss: 1.2333  loss_TTT: 0.0301  acc: 0.6326  lr: 0.0000 
ep/it:837- 178 niter:320750  1707m 51s (- 1351m 6s) completed: 55%) loss_emb: 0.0000  loss: 1.1970  loss_TTT: 0.0293  acc: 0.6431  lr: 0.0000 
ep/it:837- 228 niter:320800  1708m 8s (- 1350m 51s) completed: 55%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0306  acc: 0.6295  lr: 0.0000 
ep/it:837- 278 niter:320850  1708m 24s (- 1350m 35s) completed: 55%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0290  acc: 0.6287  lr: 0.0000 
ep/it:837- 328 niter:320900  1708m 41s (- 1350m 20s) completed: 55%) loss_emb: 0.0000  loss: 1.2308  loss_TTT: 0.0317  acc: 0.6325  lr: 0.0000 
ep/it:837- 378 niter:320950  1708m 57s (- 1350m 4s) completed: 55%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0309  acc: 0.6298  lr: 0.0000 
Validation time:
Validation loss:1.415, accuracy:0.603
ep/it:838-  45 niter:321000  1709m 18s (- 1349m 52s) completed: 55%) loss_emb: 0.0000  loss: 1.2315  loss_TTT: 0.0310  acc: 0.6335  lr: 0.0000 
ep/it:838-  95 niter:321050  1709m 34s (- 1349m 36s) completed: 55%) loss_emb: 0.0000  loss: 1.2431  loss_TTT: 0.0295  acc: 0.6292  lr: 0.0000 
ep/it:838- 145 niter:321100  1709m 51s (- 1349m 21s) completed: 55%) loss_emb: 0.0000  loss: 1.2312  loss_TTT: 0.0312  acc: 0.6337  lr: 0.0000 
ep/it:838- 195 niter:321150  1710m 7s (- 1349m 5s) completed: 55%) loss_emb: 0.0000  loss: 1.2162  loss_TTT: 0.0289  acc: 0.6373  lr: 0.0000 
ep/it:838- 245 niter:321200  1710m 23s (- 1348m 49s) completed: 55%) loss_emb: 0.0000  loss: 1.2160  loss_TTT: 0.0293  acc: 0.6371  lr: 0.0000 
ep/it:838- 295 niter:321250  1710m 40s (- 1348m 34s) completed: 55%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0315  acc: 0.6266  lr: 0.0000 
ep/it:838- 345 niter:321300  1710m 57s (- 1348m 19s) completed: 55%) loss_emb: 0.0000  loss: 1.2306  loss_TTT: 0.0305  acc: 0.6350  lr: 0.0000 
Validation time:
Validation loss:1.396, accuracy:0.604
ep/it:839-  12 niter:321350  1711m 18s (- 1348m 6s) completed: 55%) loss_emb: 0.0000  loss: 1.2181  loss_TTT: 0.0291  acc: 0.6358  lr: 0.0000 
ep/it:839-  62 niter:321400  1711m 34s (- 1347m 51s) completed: 55%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0303  acc: 0.6288  lr: 0.0000 
ep/it:839- 112 niter:321450  1711m 51s (- 1347m 35s) completed: 55%) loss_emb: 0.0000  loss: 1.2290  loss_TTT: 0.0299  acc: 0.6332  lr: 0.0000 
ep/it:839- 162 niter:321500  1712m 7s (- 1347m 20s) completed: 55%) loss_emb: 0.0000  loss: 1.2214  loss_TTT: 0.0308  acc: 0.6370  lr: 0.0000 
ep/it:839- 212 niter:321550  1712m 25s (- 1347m 5s) completed: 55%) loss_emb: 0.0000  loss: 1.2242  loss_TTT: 0.0293  acc: 0.6348  lr: 0.0000 
ep/it:839- 262 niter:321600  1712m 42s (- 1346m 50s) completed: 55%) loss_emb: 0.0000  loss: 1.2164  loss_TTT: 0.0301  acc: 0.6366  lr: 0.0000 
ep/it:839- 312 niter:321650  1712m 57s (- 1346m 34s) completed: 55%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0302  acc: 0.6266  lr: 0.0000 
ep/it:839- 362 niter:321700  1713m 14s (- 1346m 18s) completed: 55%) loss_emb: 0.0000  loss: 1.2071  loss_TTT: 0.0296  acc: 0.6394  lr: 0.0000 
Validation time:
Validation loss:1.388, accuracy:0.610

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.09it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.70it/s]
 68%|██████▊   | 32/47 [00:06<00:03,  4.98it/s]
100%|██████████| 47/47 [00:06<00:00,  6.99it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5619143890216947 avg: 2.5619143890216947
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.5442006569355726 avg: 2.5530575229786336
--> 	 Eva. Repeat 22 :, FID. 0.1320, Diversity Real. 9.8025, Diversity. 9.7378, R_precision_real. [0.52636719 0.71484375 0.82128906], R_precision. [0.50488281 0.68945312 0.80078125], matching_score_real. 2.9027, matching_score_pred. 3.0087, skate_ratio. 0.0442, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4717 (traj_fail_50cm (Traj err)): 0.2744 (kps_fail_20cm): 0.3313 (kps_fail_50cm (Loc. err)): 0.1752 (kps_mean_err(m) (Avg. err)): 0.3204 
ep/it:840-  29 niter:321750  1713m 42s (- 1346m 11s) completed: 56%) loss_emb: 0.0000  loss: 1.2387  loss_TTT: 0.0293  acc: 0.6320  lr: 0.0000 
ep/it:840-  79 niter:321800  1713m 58s (- 1345m 56s) completed: 56%) loss_emb: 0.0000  loss: 1.2111  loss_TTT: 0.0304  acc: 0.6391  lr: 0.0000 
ep/it:840- 129 niter:321850  1714m 14s (- 1345m 40s) completed: 56%) loss_emb: 0.0000  loss: 1.2062  loss_TTT: 0.0299  acc: 0.6397  lr: 0.0000 
ep/it:840- 179 niter:321900  1714m 31s (- 1345m 24s) completed: 56%) loss_emb: 0.0000  loss: 1.2168  loss_TTT: 0.0330  acc: 0.6374  lr: 0.0000 
ep/it:840- 229 niter:321950  1714m 48s (- 1345m 9s) completed: 56%) loss_emb: 0.0000  loss: 1.2203  loss_TTT: 0.0316  acc: 0.6350  lr: 0.0000 
ep/it:840- 279 niter:322000  1715m 4s (- 1344m 53s) completed: 56%) loss_emb: 0.0000  loss: 1.2254  loss_TTT: 0.0307  acc: 0.6357  lr: 0.0000 
ep/it:840- 329 niter:322050  1715m 21s (- 1344m 38s) completed: 56%) loss_emb: 0.0000  loss: 1.2229  loss_TTT: 0.0305  acc: 0.6352  lr: 0.0000 
ep/it:840- 379 niter:322100  1715m 37s (- 1344m 22s) completed: 56%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0295  acc: 0.6268  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.590
ep/it:841-  46 niter:322150  1715m 57s (- 1344m 9s) completed: 56%) loss_emb: 0.0000  loss: 1.2283  loss_TTT: 0.0300  acc: 0.6345  lr: 0.0000 
ep/it:841-  96 niter:322200  1716m 13s (- 1343m 53s) completed: 56%) loss_emb: 0.0000  loss: 1.2290  loss_TTT: 0.0297  acc: 0.6341  lr: 0.0000 
ep/it:841- 146 niter:322250  1716m 30s (- 1343m 38s) completed: 56%) loss_emb: 0.0000  loss: 1.2154  loss_TTT: 0.0309  acc: 0.6379  lr: 0.0000 
ep/it:841- 196 niter:322300  1716m 46s (- 1343m 22s) completed: 56%) loss_emb: 0.0000  loss: 1.2338  loss_TTT: 0.0304  acc: 0.6316  lr: 0.0000 
ep/it:841- 246 niter:322350  1717m 2s (- 1343m 7s) completed: 56%) loss_emb: 0.0000  loss: 1.2275  loss_TTT: 0.0308  acc: 0.6343  lr: 0.0000 
ep/it:841- 296 niter:322400  1717m 19s (- 1342m 51s) completed: 56%) loss_emb: 0.0000  loss: 1.2337  loss_TTT: 0.0298  acc: 0.6317  lr: 0.0000 
ep/it:841- 346 niter:322450  1717m 35s (- 1342m 35s) completed: 56%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0301  acc: 0.6295  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.596
ep/it:842-  13 niter:322500  1717m 55s (- 1342m 22s) completed: 56%) loss_emb: 0.0000  loss: 1.2128  loss_TTT: 0.0302  acc: 0.6380  lr: 0.0000 
ep/it:842-  63 niter:322550  1718m 11s (- 1342m 7s) completed: 56%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0302  acc: 0.6276  lr: 0.0000 
ep/it:842- 113 niter:322600  1718m 28s (- 1341m 51s) completed: 56%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0302  acc: 0.6347  lr: 0.0000 
ep/it:842- 163 niter:322650  1718m 44s (- 1341m 35s) completed: 56%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0308  acc: 0.6302  lr: 0.0000 
ep/it:842- 213 niter:322700  1719m 0s (- 1341m 19s) completed: 56%) loss_emb: 0.0000  loss: 1.2269  loss_TTT: 0.0308  acc: 0.6344  lr: 0.0000 
ep/it:842- 263 niter:322750  1719m 17s (- 1341m 4s) completed: 56%) loss_emb: 0.0000  loss: 1.2513  loss_TTT: 0.0306  acc: 0.6287  lr: 0.0000 
ep/it:842- 313 niter:322800  1719m 33s (- 1340m 48s) completed: 56%) loss_emb: 0.0000  loss: 1.2268  loss_TTT: 0.0292  acc: 0.6337  lr: 0.0000 
ep/it:842- 363 niter:322850  1719m 49s (- 1340m 32s) completed: 56%) loss_emb: 0.0000  loss: 1.2113  loss_TTT: 0.0310  acc: 0.6380  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.598
ep/it:843-  30 niter:322900  1720m 10s (- 1340m 20s) completed: 56%) loss_emb: 0.0000  loss: 1.2245  loss_TTT: 0.0301  acc: 0.6348  lr: 0.0000 
ep/it:843-  80 niter:322950  1720m 26s (- 1340m 4s) completed: 56%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0310  acc: 0.6258  lr: 0.0000 
ep/it:843- 130 niter:323000  1720m 42s (- 1339m 48s) completed: 56%) loss_emb: 0.0000  loss: 1.2083  loss_TTT: 0.0312  acc: 0.6390  lr: 0.0000 
ep/it:843- 180 niter:323050  1720m 59s (- 1339m 33s) completed: 56%) loss_emb: 0.0000  loss: 1.2254  loss_TTT: 0.0310  acc: 0.6347  lr: 0.0000 
ep/it:843- 230 niter:323100  1721m 15s (- 1339m 17s) completed: 56%) loss_emb: 0.0000  loss: 1.2051  loss_TTT: 0.0302  acc: 0.6398  lr: 0.0000 
ep/it:843- 280 niter:323150  1721m 32s (- 1339m 2s) completed: 56%) loss_emb: 0.0000  loss: 1.2202  loss_TTT: 0.0295  acc: 0.6355  lr: 0.0000 
ep/it:843- 330 niter:323200  1721m 48s (- 1338m 46s) completed: 56%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0302  acc: 0.6290  lr: 0.0000 
ep/it:843- 380 niter:323250  1722m 4s (- 1338m 30s) completed: 56%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0321  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.596
ep/it:844-  47 niter:323300  1722m 25s (- 1338m 17s) completed: 56%) loss_emb: 0.0000  loss: 1.2225  loss_TTT: 0.0303  acc: 0.6359  lr: 0.0000 
ep/it:844-  97 niter:323350  1722m 42s (- 1338m 2s) completed: 56%) loss_emb: 0.0000  loss: 1.2184  loss_TTT: 0.0308  acc: 0.6371  lr: 0.0000 
ep/it:844- 147 niter:323400  1722m 58s (- 1337m 46s) completed: 56%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0296  acc: 0.6238  lr: 0.0000 
ep/it:844- 197 niter:323450  1723m 14s (- 1337m 30s) completed: 56%) loss_emb: 0.0000  loss: 1.2327  loss_TTT: 0.0310  acc: 0.6326  lr: 0.0000 
ep/it:844- 247 niter:323500  1723m 30s (- 1337m 15s) completed: 56%) loss_emb: 0.0000  loss: 1.2287  loss_TTT: 0.0306  acc: 0.6326  lr: 0.0000 
ep/it:844- 297 niter:323550  1723m 46s (- 1336m 59s) completed: 56%) loss_emb: 0.0000  loss: 1.2263  loss_TTT: 0.0304  acc: 0.6336  lr: 0.0000 
ep/it:844- 347 niter:323600  1724m 2s (- 1336m 43s) completed: 56%) loss_emb: 0.0000  loss: 1.2120  loss_TTT: 0.0306  acc: 0.6377  lr: 0.0000 
Validation time:
Validation loss:1.458, accuracy:0.593
ep/it:845-  14 niter:323650  1724m 23s (- 1336m 30s) completed: 56%) loss_emb: 0.0000  loss: 1.2334  loss_TTT: 0.0298  acc: 0.6321  lr: 0.0000 
ep/it:845-  64 niter:323700  1724m 38s (- 1336m 14s) completed: 56%) loss_emb: 0.0000  loss: 1.2237  loss_TTT: 0.0306  acc: 0.6352  lr: 0.0000 
ep/it:845- 114 niter:323750  1724m 55s (- 1335m 59s) completed: 56%) loss_emb: 0.0000  loss: 1.2316  loss_TTT: 0.0293  acc: 0.6337  lr: 0.0000 
ep/it:845- 164 niter:323800  1725m 11s (- 1335m 43s) completed: 56%) loss_emb: 0.0000  loss: 1.2462  loss_TTT: 0.0308  acc: 0.6286  lr: 0.0000 
ep/it:845- 214 niter:323850  1725m 27s (- 1335m 27s) completed: 56%) loss_emb: 0.0000  loss: 1.2194  loss_TTT: 0.0294  acc: 0.6362  lr: 0.0000 
ep/it:845- 264 niter:323900  1725m 44s (- 1335m 11s) completed: 56%) loss_emb: 0.0000  loss: 1.2310  loss_TTT: 0.0300  acc: 0.6330  lr: 0.0000 
ep/it:845- 314 niter:323950  1726m 0s (- 1334m 55s) completed: 56%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0297  acc: 0.6270  lr: 0.0000 
ep/it:845- 364 niter:324000  1726m 16s (- 1334m 39s) completed: 56%) loss_emb: 0.0000  loss: 1.2271  loss_TTT: 0.0294  acc: 0.6339  lr: 0.0000 
Validation time:
Validation loss:1.416, accuracy:0.602
ep/it:846-  31 niter:324050  1726m 37s (- 1334m 27s) completed: 56%) loss_emb: 0.0000  loss: 1.2167  loss_TTT: 0.0307  acc: 0.6356  lr: 0.0000 
ep/it:846-  81 niter:324100  1726m 53s (- 1334m 12s) completed: 56%) loss_emb: 0.0000  loss: 1.2256  loss_TTT: 0.0311  acc: 0.6354  lr: 0.0000 
ep/it:846- 131 niter:324150  1727m 10s (- 1333m 56s) completed: 56%) loss_emb: 0.0000  loss: 1.2305  loss_TTT: 0.0301  acc: 0.6333  lr: 0.0000 
ep/it:846- 181 niter:324200  1727m 26s (- 1333m 40s) completed: 56%) loss_emb: 0.0000  loss: 1.2251  loss_TTT: 0.0295  acc: 0.6355  lr: 0.0000 
ep/it:846- 231 niter:324250  1727m 43s (- 1333m 25s) completed: 56%) loss_emb: 0.0000  loss: 1.2366  loss_TTT: 0.0303  acc: 0.6313  lr: 0.0000 
ep/it:846- 281 niter:324300  1727m 59s (- 1333m 9s) completed: 56%) loss_emb: 0.0000  loss: 1.2282  loss_TTT: 0.0291  acc: 0.6335  lr: 0.0000 
ep/it:846- 331 niter:324350  1728m 16s (- 1332m 54s) completed: 56%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0311  acc: 0.6266  lr: 0.0000 
ep/it:846- 381 niter:324400  1728m 32s (- 1332m 38s) completed: 56%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0291  acc: 0.6249  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.599