controlNet1223.txt

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

  0%|          | 0/23384 [00:00<?, ?it/s]
  0%|          | 42/23384 [00:00<00:56, 416.63it/s]
  0%|          | 88/23384 [00:00<00:53, 437.80it/s]
  1%|          | 133/23384 [00:00<00:52, 442.08it/s]
  1%|          | 180/23384 [00:00<00:51, 450.95it/s]
  1%|          | 226/23384 [00:00<00:52, 443.70it/s]
  1%|          | 271/23384 [00:00<00:51, 444.56it/s]
  1%|▏         | 317/23384 [00:00<00:51, 447.22it/s]
  2%|▏         | 363/23384 [00:00<00:51, 449.41it/s]
  2%|▏         | 410/23384 [00:00<00:50, 454.15it/s]
  2%|▏         | 456/23384 [00:01<00:50, 453.95it/s]
  2%|▏         | 502/23384 [00:01<00:50, 454.71it/s]
  2%|▏         | 548/23384 [00:01<00:50, 451.65it/s]
  3%|▎         | 594/23384 [00:01<00:50, 452.84it/s]
  3%|▎         | 640/23384 [00:01<00:50, 452.07it/s]
  3%|▎         | 686/23384 [00:01<00:50, 450.85it/s]
  3%|▎         | 732/23384 [00:01<00:50, 451.78it/s]
  3%|▎         | 778/23384 [00:01<00:50, 444.11it/s]
  4%|▎         | 824/23384 [00:01<00:50, 448.01it/s]
  4%|▎         | 869/23384 [00:01<00:50, 443.59it/s]
  4%|▍         | 915/23384 [00:02<00:50, 445.83it/s]
  4%|▍         | 960/23384 [00:02<00:50, 443.19it/s]
  4%|▍         | 1005/23384 [00:02<00:50, 442.66it/s]
  4%|▍         | 1050/23384 [00:02<00:54, 409.71it/s]
  5%|▍         | 1093/23384 [00:02<01:07, 327.96it/s]
  5%|▍         | 1138/23384 [00:02<01:02, 355.22it/s]
  5%|▌         | 1183/23384 [00:02<00:58, 377.80it/s]
  5%|▌         | 1229/23384 [00:02<00:55, 397.81it/s]
  5%|▌         | 1277/23384 [00:02<00:52, 418.16it/s]
  6%|▌         | 1324/23384 [00:03<00:51, 431.63it/s]
  6%|▌         | 1369/23384 [00:03<00:50, 435.50it/s]
  6%|▌         | 1415/23384 [00:03<00:49, 440.32it/s]
  6%|▌         | 1460/23384 [00:03<00:49, 439.43it/s]
  6%|▋         | 1505/23384 [00:03<00:49, 441.31it/s]
  7%|▋         | 1550/23384 [00:03<00:49, 442.00it/s]
  7%|▋         | 1596/23384 [00:03<00:48, 446.87it/s]
  7%|▋         | 1641/23384 [00:03<00:48, 446.11it/s]
  7%|▋         | 1686/23384 [00:03<00:48, 445.89it/s]
  7%|▋         | 1731/23384 [00:03<00:48, 445.11it/s]
  8%|▊         | 1776/23384 [00:04<00:48, 446.17it/s]
  8%|▊         | 1822/23384 [00:04<00:48, 449.00it/s]
  8%|▊         | 1867/23384 [00:04<00:47, 449.08it/s]
  8%|▊         | 1912/23384 [00:04<00:48, 447.12it/s]
  8%|▊         | 1957/23384 [00:04<00:48, 444.83it/s]
  9%|▊         | 2002/23384 [00:04<00:48, 442.32it/s]
  9%|▉         | 2047/23384 [00:04<00:48, 441.60it/s]
  9%|▉         | 2092/23384 [00:04<00:47, 443.61it/s]
  9%|▉         | 2138/23384 [00:04<00:47, 447.07it/s]
  9%|▉         | 2183/23384 [00:05<00:47, 442.47it/s]
 10%|▉         | 2228/23384 [00:05<00:47, 443.57it/s]
 10%|▉         | 2274/23384 [00:05<00:47, 446.79it/s]
 10%|▉         | 2319/23384 [00:05<00:47, 446.07it/s]
 10%|█         | 2364/23384 [00:05<00:47, 443.73it/s]
 10%|█         | 2410/23384 [00:05<00:46, 448.11it/s]
 11%|█         | 2457/23384 [00:05<00:46, 453.46it/s]
 11%|█         | 2503/23384 [00:05<00:46, 444.98it/s]
 11%|█         | 2549/23384 [00:05<00:46, 447.66it/s]
 11%|█         | 2595/23384 [00:05<00:46, 450.57it/s]
 11%|█▏        | 2641/23384 [00:06<00:45, 453.19it/s]
 11%|█▏        | 2687/23384 [00:06<00:45, 452.01it/s]
 12%|█▏        | 2733/23384 [00:06<00:45, 450.44it/s]
 12%|█▏        | 2779/23384 [00:06<00:45, 451.92it/s]
 12%|█▏        | 2825/23384 [00:06<00:45, 448.92it/s]
 12%|█▏        | 2870/23384 [00:06<00:46, 444.00it/s]
 12%|█▏        | 2915/23384 [00:06<00:46, 444.86it/s]
 13%|█▎        | 2961/23384 [00:06<00:45, 447.24it/s]
 13%|█▎        | 3006/23384 [00:06<00:46, 440.02it/s]
 13%|█▎        | 3051/23384 [00:06<00:46, 440.91it/s]
 13%|█▎        | 3096/23384 [00:07<00:45, 442.21it/s]
 13%|█▎        | 3142/23384 [00:07<00:45, 444.44it/s]
 14%|█▎        | 3187/23384 [00:07<00:45, 445.71it/s]
 14%|█▍        | 3232/23384 [00:07<00:45, 446.07it/s]
 14%|█▍        | 3277/23384 [00:07<00:45, 445.17it/s]
 14%|█▍        | 3322/23384 [00:07<00:45, 442.84it/s]
 14%|█▍        | 3368/23384 [00:07<00:44, 447.46it/s]
 15%|█▍        | 3415/23384 [00:07<00:44, 451.09it/s]
 15%|█▍        | 3461/23384 [00:07<00:45, 435.82it/s]
 15%|█▌        | 3508/23384 [00:07<00:44, 442.98it/s]
 15%|█▌        | 3554/23384 [00:08<00:44, 445.82it/s]
 15%|█▌        | 3601/23384 [00:08<00:43, 449.81it/s]
 16%|█▌        | 3648/23384 [00:08<00:43, 453.95it/s]
 16%|█▌        | 3694/23384 [00:08<00:43, 454.37it/s]
 16%|█▌        | 3740/23384 [00:08<00:43, 449.15it/s]
 16%|█▌        | 3785/23384 [00:08<00:43, 447.36it/s]
 16%|█▋        | 3831/23384 [00:08<00:43, 449.64it/s]
 17%|█▋        | 3878/23384 [00:08<00:43, 453.42it/s]
 17%|█▋        | 3924/23384 [00:08<00:42, 453.82it/s]
 17%|█▋        | 3970/23384 [00:08<00:42, 454.58it/s]
 17%|█▋        | 4016/23384 [00:09<00:42, 455.53it/s]
 17%|█▋        | 4063/23384 [00:09<00:42, 458.41it/s]
 18%|█▊        | 4109/23384 [00:09<00:42, 456.00it/s]
 18%|█▊        | 4157/23384 [00:09<00:41, 462.87it/s]
 18%|█▊        | 4204/23384 [00:09<00:41, 463.08it/s]
 18%|█▊        | 4251/23384 [00:09<00:41, 458.46it/s]
 18%|█▊        | 4298/23384 [00:09<00:41, 458.80it/s]
 19%|█▊        | 4344/23384 [00:09<00:41, 455.72it/s]
 19%|█▉        | 4390/23384 [00:09<00:41, 453.39it/s]
 19%|█▉        | 4437/23384 [00:10<00:41, 455.32it/s]
 19%|█▉        | 4483/23384 [00:10<00:41, 455.14it/s]
 19%|█▉        | 4529/23384 [00:10<00:41, 452.35it/s]
 20%|█▉        | 4575/23384 [00:10<00:41, 453.75it/s]
 20%|█▉        | 4621/23384 [00:10<00:41, 451.70it/s]
 20%|█▉        | 4667/23384 [00:10<00:41, 448.97it/s]
 20%|██        | 4713/23384 [00:10<00:41, 451.74it/s]
 20%|██        | 4760/23384 [00:10<00:40, 455.63it/s]
 21%|██        | 4806/23384 [00:10<00:40, 455.99it/s]
 21%|██        | 4852/23384 [00:10<00:40, 452.64it/s]
 21%|██        | 4900/23384 [00:11<00:40, 458.30it/s]
 21%|██        | 4946/23384 [00:11<00:40, 457.40it/s]
 21%|██▏       | 4993/23384 [00:11<00:40, 459.04it/s]
 22%|██▏       | 5040/23384 [00:11<00:39, 460.90it/s]
 22%|██▏       | 5088/23384 [00:11<00:39, 466.24it/s]
 22%|██▏       | 5135/23384 [00:11<00:39, 462.68it/s]
 22%|██▏       | 5182/23384 [00:11<00:39, 460.93it/s]
 22%|██▏       | 5229/23384 [00:11<00:39, 462.46it/s]
 23%|██▎       | 5276/23384 [00:11<00:39, 458.29it/s]
 23%|██▎       | 5322/23384 [00:11<00:39, 458.09it/s]
 23%|██▎       | 5368/23384 [00:12<00:39, 457.89it/s]
 23%|██▎       | 5416/23384 [00:12<00:38, 461.52it/s]
 23%|██▎       | 5464/23384 [00:12<00:38, 465.47it/s]
 24%|██▎       | 5511/23384 [00:12<00:38, 462.78it/s]
 24%|██▍       | 5560/23384 [00:12<00:37, 469.74it/s]
 24%|██▍       | 5609/23384 [00:12<00:37, 473.30it/s]
 24%|██▍       | 5657/23384 [00:12<00:37, 468.91it/s]
 24%|██▍       | 5706/23384 [00:12<00:37, 472.17it/s]
 25%|██▍       | 5754/23384 [00:12<00:37, 470.18it/s]
 25%|██▍       | 5802/23384 [00:12<00:37, 471.33it/s]
 25%|██▌       | 5850/23384 [00:13<00:37, 467.32it/s]
 25%|██▌       | 5897/23384 [00:13<00:37, 466.98it/s]
 25%|██▌       | 5945/23384 [00:13<00:37, 468.30it/s]
 26%|██▌       | 5993/23384 [00:13<00:37, 469.08it/s]
 26%|██▌       | 6040/23384 [00:13<00:37, 466.05it/s]
 26%|██▌       | 6088/23384 [00:13<00:36, 468.85it/s]
 26%|██▌       | 6136/23384 [00:13<00:36, 471.04it/s]
 26%|██▋       | 6184/23384 [00:13<00:37, 462.32it/s]
 27%|██▋       | 6231/23384 [00:13<00:37, 461.76it/s]
 27%|██▋       | 6278/23384 [00:13<00:36, 463.36it/s]
 27%|██▋       | 6325/23384 [00:14<00:36, 464.06it/s]
 27%|██▋       | 6373/23384 [00:14<00:36, 467.98it/s]
 27%|██▋       | 6420/23384 [00:14<00:36, 467.13it/s]
 28%|██▊       | 6468/23384 [00:14<00:36, 468.54it/s]
 28%|██▊       | 6516/23384 [00:14<00:35, 470.79it/s]
 28%|██▊       | 6564/23384 [00:14<00:36, 465.91it/s]
 28%|██▊       | 6612/23384 [00:14<00:35, 468.54it/s]
 28%|██▊       | 6660/23384 [00:14<00:35, 470.88it/s]
 29%|██▊       | 6708/23384 [00:14<00:35, 468.15it/s]
 29%|██▉       | 6756/23384 [00:15<00:35, 470.22it/s]
 29%|██▉       | 6804/23384 [00:15<00:35, 472.12it/s]
 29%|██▉       | 6852/23384 [00:15<00:34, 474.28it/s]
 30%|██▉       | 6901/23384 [00:15<00:34, 477.00it/s]
 30%|██▉       | 6949/23384 [00:15<00:34, 470.37it/s]
 30%|██▉       | 6998/23384 [00:15<00:34, 473.87it/s]
 30%|███       | 7046/23384 [00:15<00:34, 469.76it/s]
 30%|███       | 7096/23384 [00:15<00:34, 478.16it/s]
 31%|███       | 7144/23384 [00:15<00:34, 477.08it/s]
 31%|███       | 7192/23384 [00:15<00:33, 476.68it/s]
 31%|███       | 7240/23384 [00:16<00:34, 472.86it/s]
 31%|███       | 7288/23384 [00:16<00:33, 473.60it/s]
 31%|███▏      | 7336/23384 [00:16<00:34, 468.99it/s]
 32%|███▏      | 7383/23384 [00:16<00:34, 466.61it/s]
 32%|███▏      | 7432/23384 [00:16<00:33, 470.57it/s]
 32%|███▏      | 7480/23384 [00:16<00:34, 467.38it/s]
 32%|███▏      | 7527/23384 [00:16<00:33, 466.57it/s]
 32%|███▏      | 7574/23384 [00:16<00:33, 467.52it/s]
 33%|███▎      | 7622/23384 [00:16<00:33, 470.74it/s]
 33%|███▎      | 7670/23384 [00:16<00:33, 473.38it/s]
 33%|███▎      | 7718/23384 [00:17<00:32, 474.95it/s]
 33%|███▎      | 7766/23384 [00:17<00:32, 476.05it/s]
 33%|███▎      | 7814/23384 [00:17<00:32, 474.50it/s]
 34%|███▎      | 7863/23384 [00:17<00:32, 477.85it/s]
 34%|███▍      | 7911/23384 [00:17<00:32, 473.05it/s]
 34%|███▍      | 7960/23384 [00:17<00:32, 475.25it/s]
 34%|███▍      | 8010/23384 [00:17<00:32, 480.13it/s]
 34%|███▍      | 8059/23384 [00:17<00:32, 475.18it/s]
 35%|███▍      | 8108/23384 [00:17<00:31, 477.84it/s]
 35%|███▍      | 8158/23384 [00:17<00:31, 483.19it/s]
 35%|███▌      | 8209/23384 [00:18<00:31, 489.36it/s]
 35%|███▌      | 8259/23384 [00:18<00:30, 489.10it/s]
 36%|███▌      | 8308/23384 [00:18<00:30, 487.94it/s]
 36%|███▌      | 8360/23384 [00:18<00:30, 496.05it/s]
 36%|███▌      | 8411/23384 [00:18<00:30, 497.39it/s]
 36%|███▌      | 8462/23384 [00:18<00:29, 500.74it/s]
 36%|███▋      | 8513/23384 [00:18<00:30, 491.71it/s]
 37%|███▋      | 8563/23384 [00:18<00:30, 485.60it/s]
 37%|███▋      | 8615/23384 [00:18<00:29, 494.47it/s]
 37%|███▋      | 8665/23384 [00:18<00:29, 495.50it/s]
 37%|███▋      | 8716/23384 [00:19<00:29, 497.64it/s]
 37%|███▋      | 8766/23384 [00:19<00:29, 498.19it/s]
 38%|███▊      | 8816/23384 [00:19<00:29, 494.62it/s]
 38%|███▊      | 8868/23384 [00:19<00:29, 500.05it/s]
 38%|███▊      | 8919/23384 [00:19<00:29, 496.09it/s]
 38%|███▊      | 8969/23384 [00:19<00:29, 493.42it/s]
 39%|███▊      | 9020/23384 [00:19<00:28, 497.59it/s]
 39%|███▉      | 9071/23384 [00:19<00:28, 501.14it/s]
 39%|███▉      | 9122/23384 [00:19<00:28, 502.05it/s]
 39%|███▉      | 9176/23384 [00:20<00:27, 510.60it/s]
 39%|███▉      | 9228/23384 [00:20<00:28, 504.53it/s]
 40%|███▉      | 9279/23384 [00:20<00:27, 504.63it/s]
 40%|███▉      | 9330/23384 [00:20<00:28, 501.33it/s]
 40%|████      | 9381/23384 [00:20<00:27, 501.22it/s]
 40%|████      | 9432/23384 [00:20<00:28, 495.64it/s]
 41%|████      | 9482/23384 [00:20<00:28, 496.36it/s]
 41%|████      | 9532/23384 [00:20<00:27, 496.12it/s]
 41%|████      | 9582/23384 [00:20<00:27, 496.74it/s]
 41%|████      | 9632/23384 [00:20<00:27, 497.12it/s]
 41%|████▏     | 9685/23384 [00:21<00:27, 505.33it/s]
 42%|████▏     | 9737/23384 [00:21<00:26, 509.41it/s]
 42%|████▏     | 9788/23384 [00:21<00:26, 505.60it/s]
 42%|████▏     | 9840/23384 [00:21<00:26, 506.98it/s]
 42%|████▏     | 9891/23384 [00:21<00:26, 506.19it/s]
 43%|████▎     | 9942/23384 [00:21<00:26, 504.50it/s]
 43%|████▎     | 9993/23384 [00:21<00:26, 500.73it/s]
 43%|████▎     | 10044/23384 [00:21<00:26, 500.44it/s]
 43%|████▎     | 10095/23384 [00:21<00:26, 502.75it/s]
 43%|████▎     | 10146/23384 [00:21<00:26, 501.76it/s]
 44%|████▎     | 10197/23384 [00:22<00:26, 498.09it/s]
 44%|████▍     | 10248/23384 [00:22<00:26, 499.28it/s]
 44%|████▍     | 10299/23384 [00:22<00:26, 501.26it/s]
 44%|████▍     | 10350/23384 [00:22<00:26, 499.03it/s]
 44%|████▍     | 10400/23384 [00:22<00:26, 496.14it/s]
 45%|████▍     | 10450/23384 [00:22<00:26, 496.77it/s]
 45%|████▍     | 10500/23384 [00:22<00:25, 496.48it/s]
 45%|████▌     | 10552/23384 [00:22<00:25, 499.53it/s]
 45%|████▌     | 10604/23384 [00:22<00:25, 502.51it/s]
 46%|████▌     | 10658/23384 [00:22<00:24, 510.99it/s]
 46%|████▌     | 10711/23384 [00:23<00:24, 514.61it/s]
 46%|████▌     | 10763/23384 [00:23<00:24, 510.95it/s]
 46%|████▌     | 10815/23384 [00:23<00:24, 507.87it/s]
 46%|████▋     | 10866/23384 [00:23<00:24, 501.49it/s]
 47%|████▋     | 10917/23384 [00:23<00:24, 502.93it/s]
 47%|████▋     | 10968/23384 [00:23<00:24, 498.24it/s]
 47%|████▋     | 11019/23384 [00:23<00:24, 500.01it/s]
 47%|████▋     | 11070/23384 [00:23<00:24, 497.75it/s]
 48%|████▊     | 11122/23384 [00:23<00:24, 501.64it/s]
 48%|████▊     | 11173/23384 [00:23<00:24, 501.36it/s]
 48%|████▊     | 11225/23384 [00:24<00:24, 505.44it/s]
 48%|████▊     | 11276/23384 [00:24<00:23, 505.70it/s]
 48%|████▊     | 11328/23384 [00:24<00:23, 508.65it/s]
 49%|████▊     | 11379/23384 [00:24<00:23, 503.70it/s]
 49%|████▉     | 11431/23384 [00:24<00:23, 507.33it/s]
 49%|████▉     | 11483/23384 [00:24<00:23, 509.19it/s]
 49%|████▉     | 11534/23384 [00:24<00:23, 507.96it/s]
 50%|████▉     | 11586/23384 [00:24<00:23, 510.23it/s]
 50%|████▉     | 11638/23384 [00:24<00:22, 510.87it/s]
 50%|████▉     | 11690/23384 [00:25<00:22, 511.84it/s]
 50%|█████     | 11743/23384 [00:25<00:22, 515.22it/s]
 50%|█████     | 11795/23384 [00:25<00:22, 515.82it/s]
 51%|█████     | 11850/23384 [00:25<00:21, 525.89it/s]
 51%|█████     | 11903/23384 [00:25<00:22, 518.05it/s]
 51%|█████     | 11955/23384 [00:25<00:32, 355.40it/s]
 51%|█████▏    | 12008/23384 [00:25<00:28, 393.37it/s]
 52%|█████▏    | 12059/23384 [00:25<00:26, 421.25it/s]
 52%|█████▏    | 12112/23384 [00:25<00:25, 447.91it/s]
 52%|█████▏    | 12166/23384 [00:26<00:23, 472.32it/s]
 52%|█████▏    | 12219/23384 [00:26<00:22, 487.30it/s]
 52%|█████▏    | 12270/23384 [00:26<00:22, 492.42it/s]
 53%|█████▎    | 12323/23384 [00:26<00:22, 501.58it/s]
 53%|█████▎    | 12376/23384 [00:26<00:21, 507.87it/s]
 53%|█████▎    | 12429/23384 [00:26<00:21, 513.69it/s]
 53%|█████▎    | 12481/23384 [00:26<00:21, 514.73it/s]
 54%|█████▎    | 12535/23384 [00:26<00:20, 518.90it/s]
 54%|█████▍    | 12588/23384 [00:26<00:20, 519.77it/s]
 54%|█████▍    | 12641/23384 [00:26<00:20, 519.79it/s]
 54%|█████▍    | 12695/23384 [00:27<00:20, 523.25it/s]
 55%|█████▍    | 12749/23384 [00:27<00:20, 528.01it/s]
 55%|█████▍    | 12802/23384 [00:27<00:20, 526.59it/s]
 55%|█████▍    | 12855/23384 [00:27<00:19, 527.20it/s]
 55%|█████▌    | 12908/23384 [00:27<00:19, 526.56it/s]
 55%|█████▌    | 12961/23384 [00:27<00:19, 527.30it/s]
 56%|█████▌    | 13015/23384 [00:27<00:19, 529.24it/s]
 56%|█████▌    | 13068/23384 [00:27<00:19, 521.33it/s]
 56%|█████▌    | 13122/23384 [00:27<00:19, 524.60it/s]
 56%|█████▋    | 13175/23384 [00:27<00:19, 525.11it/s]
 57%|█████▋    | 13228/23384 [00:28<00:19, 522.12it/s]
 57%|█████▋    | 13281/23384 [00:28<00:19, 523.80it/s]
 57%|█████▋    | 13334/23384 [00:28<00:19, 524.72it/s]
 57%|█████▋    | 13387/23384 [00:28<00:19, 518.44it/s]
 57%|█████▋    | 13441/23384 [00:28<00:19, 523.08it/s]
 58%|█████▊    | 13494/23384 [00:28<00:18, 522.37it/s]
 58%|█████▊    | 13547/23384 [00:28<00:19, 515.42it/s]
 58%|█████▊    | 13599/23384 [00:28<00:19, 509.77it/s]
 58%|█████▊    | 13653/23384 [00:28<00:18, 516.63it/s]
 59%|█████▊    | 13705/23384 [00:29<00:18, 510.04it/s]
 59%|█████▉    | 13758/23384 [00:29<00:18, 514.87it/s]
 59%|█████▉    | 13813/23384 [00:29<00:18, 522.94it/s]
 59%|█████▉    | 13866/23384 [00:29<00:18, 521.20it/s]
 60%|█████▉    | 13919/23384 [00:29<00:18, 521.42it/s]
 60%|█████▉    | 13973/23384 [00:29<00:17, 525.70it/s]
 60%|█████▉    | 14026/23384 [00:29<00:17, 522.30it/s]
 60%|██████    | 14079/23384 [00:29<00:17, 523.70it/s]
 60%|██████    | 14132/23384 [00:29<00:17, 521.10it/s]
 61%|██████    | 14186/23384 [00:29<00:17, 525.24it/s]
 61%|██████    | 14239/23384 [00:30<00:17, 526.52it/s]
 61%|██████    | 14292/23384 [00:30<00:17, 522.78it/s]
 61%|██████▏   | 14345/23384 [00:30<00:17, 522.88it/s]
 62%|██████▏   | 14399/23384 [00:30<00:17, 524.84it/s]
 62%|██████▏   | 14452/23384 [00:30<00:17, 524.86it/s]
 62%|██████▏   | 14506/23384 [00:30<00:16, 526.28it/s]
 62%|██████▏   | 14559/23384 [00:30<00:16, 522.09it/s]
 62%|██████▏   | 14612/23384 [00:30<00:16, 522.15it/s]
 63%|██████▎   | 14665/23384 [00:30<00:16, 519.89it/s]
 63%|██████▎   | 14718/23384 [00:30<00:16, 522.05it/s]
 63%|██████▎   | 14773/23384 [00:31<00:16, 528.89it/s]
 63%|██████▎   | 14826/23384 [00:31<00:16, 526.40it/s]
 64%|██████▎   | 14879/23384 [00:31<00:16, 525.25it/s]
 64%|██████▍   | 14934/23384 [00:31<00:15, 528.45it/s]
 64%|██████▍   | 14987/23384 [00:31<00:15, 526.85it/s]
 64%|██████▍   | 15040/23384 [00:31<00:15, 525.74it/s]
 65%|██████▍   | 15095/23384 [00:31<00:15, 532.42it/s]
 65%|██████▍   | 15149/23384 [00:31<00:15, 527.50it/s]
 65%|██████▌   | 15203/23384 [00:31<00:15, 529.90it/s]
 65%|██████▌   | 15257/23384 [00:31<00:15, 529.83it/s]
 65%|██████▌   | 15310/23384 [00:32<00:15, 526.80it/s]
 66%|██████▌   | 15365/23384 [00:32<00:15, 533.30it/s]
 66%|██████▌   | 15419/23384 [00:32<00:14, 534.06it/s]
 66%|██████▌   | 15473/23384 [00:32<00:14, 529.74it/s]
 66%|██████▋   | 15528/23384 [00:32<00:14, 534.51it/s]
 67%|██████▋   | 15582/23384 [00:32<00:14, 533.77it/s]
 67%|██████▋   | 15636/23384 [00:32<00:14, 526.64it/s]
 67%|██████▋   | 15693/23384 [00:32<00:14, 538.02it/s]
 67%|██████▋   | 15748/23384 [00:32<00:14, 540.53it/s]
 68%|██████▊   | 15803/23384 [00:32<00:13, 543.19it/s]
 68%|██████▊   | 15859/23384 [00:33<00:13, 547.73it/s]
 68%|██████▊   | 15914/23384 [00:33<00:13, 543.69it/s]
 68%|██████▊   | 15969/23384 [00:33<00:13, 541.17it/s]
 69%|██████▊   | 16024/23384 [00:33<00:13, 538.40it/s]
 69%|██████▉   | 16081/23384 [00:33<00:13, 546.73it/s]
 69%|██████▉   | 16136/23384 [00:33<00:13, 547.49it/s]
 69%|██████▉   | 16191/23384 [00:33<00:13, 546.96it/s]
 69%|██████▉   | 16246/23384 [00:33<00:13, 536.46it/s]
 70%|██████▉   | 16300/23384 [00:33<00:13, 534.85it/s]
 70%|██████▉   | 16354/23384 [00:34<00:13, 535.05it/s]
 70%|███████   | 16409/23384 [00:34<00:12, 538.03it/s]
 70%|███████   | 16463/23384 [00:34<00:12, 535.42it/s]
 71%|███████   | 16517/23384 [00:34<00:12, 535.91it/s]
 71%|███████   | 16574/23384 [00:34<00:12, 545.95it/s]
 71%|███████   | 16629/23384 [00:34<00:12, 546.42it/s]
 71%|███████▏  | 16685/23384 [00:34<00:12, 549.49it/s]
 72%|███████▏  | 16740/23384 [00:34<00:12, 547.44it/s]
 72%|███████▏  | 16795/23384 [00:34<00:12, 546.22it/s]
 72%|███████▏  | 16850/23384 [00:34<00:12, 536.24it/s]
 72%|███████▏  | 16905/23384 [00:35<00:12, 539.26it/s]
 73%|███████▎  | 16960/23384 [00:35<00:11, 542.16it/s]
 73%|███████▎  | 17015/23384 [00:35<00:11, 538.45it/s]
 73%|███████▎  | 17069/23384 [00:35<00:11, 538.26it/s]
 73%|███████▎  | 17125/23384 [00:35<00:11, 543.90it/s]
 73%|███████▎  | 17180/23384 [00:35<00:11, 541.56it/s]
 74%|███████▎  | 17236/23384 [00:35<00:11, 546.48it/s]
 74%|███████▍  | 17291/23384 [00:35<00:11, 539.80it/s]
 74%|███████▍  | 17346/23384 [00:35<00:11, 541.26it/s]
 74%|███████▍  | 17401/23384 [00:35<00:11, 542.30it/s]
 75%|███████▍  | 17456/23384 [00:36<00:10, 542.09it/s]
 75%|███████▍  | 17511/23384 [00:36<00:10, 543.75it/s]
 75%|███████▌  | 17566/23384 [00:36<00:10, 533.74it/s]
 75%|███████▌  | 17621/23384 [00:36<00:10, 537.21it/s]
 76%|███████▌  | 17677/23384 [00:36<00:10, 542.07it/s]
 76%|███████▌  | 17732/23384 [00:36<00:10, 538.96it/s]
 76%|███████▌  | 17789/23384 [00:36<00:10, 545.36it/s]
 76%|███████▋  | 17844/23384 [00:36<00:10, 541.51it/s]
 77%|███████▋  | 17899/23384 [00:36<00:10, 540.48it/s]
 77%|███████▋  | 17956/23384 [00:36<00:09, 547.24it/s]
 77%|███████▋  | 18011/23384 [00:37<00:09, 544.68it/s]
 77%|███████▋  | 18066/23384 [00:37<00:09, 542.12it/s]
 77%|███████▋  | 18121/23384 [00:37<00:09, 541.55it/s]
 78%|███████▊  | 18177/23384 [00:37<00:09, 544.83it/s]
 78%|███████▊  | 18234/23384 [00:37<00:09, 551.64it/s]
 78%|███████▊  | 18293/23384 [00:37<00:09, 560.75it/s]
 78%|███████▊  | 18350/23384 [00:37<00:09, 557.43it/s]
 79%|███████▊  | 18408/23384 [00:37<00:08, 563.07it/s]
 79%|███████▉  | 18465/23384 [00:37<00:08, 564.73it/s]
 79%|███████▉  | 18522/23384 [00:37<00:08, 555.23it/s]
 79%|███████▉  | 18580/23384 [00:38<00:08, 562.09it/s]
 80%|███████▉  | 18637/23384 [00:38<00:08, 558.82it/s]
 80%|███████▉  | 18694/23384 [00:38<00:08, 561.52it/s]
 80%|████████  | 18751/23384 [00:38<00:08, 561.61it/s]
 80%|████████  | 18809/23384 [00:38<00:08, 566.68it/s]
 81%|████████  | 18869/23384 [00:38<00:07, 574.02it/s]
 81%|████████  | 18927/23384 [00:38<00:07, 566.57it/s]
 81%|████████  | 18984/23384 [00:38<00:07, 564.11it/s]
 81%|████████▏ | 19041/23384 [00:38<00:07, 562.08it/s]
 82%|████████▏ | 19098/23384 [00:39<00:07, 558.58it/s]
 82%|████████▏ | 19155/23384 [00:39<00:07, 559.81it/s]
 82%|████████▏ | 19211/23384 [00:39<00:07, 559.13it/s]
 82%|████████▏ | 19267/23384 [00:39<00:07, 558.23it/s]
 83%|████████▎ | 19323/23384 [00:39<00:07, 557.22it/s]
 83%|████████▎ | 19380/23384 [00:39<00:07, 557.63it/s]
 83%|████████▎ | 19437/23384 [00:39<00:07, 558.42it/s]
 83%|████████▎ | 19495/23384 [00:39<00:06, 563.13it/s]
 84%|████████▎ | 19553/23384 [00:39<00:06, 567.38it/s]
 84%|████████▍ | 19610/23384 [00:39<00:06, 565.99it/s]
 84%|████████▍ | 19667/23384 [00:40<00:06, 561.59it/s]
 84%|████████▍ | 19724/23384 [00:40<00:06, 563.42it/s]
 85%|████████▍ | 19782/23384 [00:40<00:06, 564.73it/s]
 85%|████████▍ | 19839/23384 [00:40<00:06, 565.31it/s]
 85%|████████▌ | 19897/23384 [00:40<00:06, 566.91it/s]
 85%|████████▌ | 19955/23384 [00:40<00:06, 568.23it/s]
 86%|████████▌ | 20012/23384 [00:40<00:06, 561.92it/s]
 86%|████████▌ | 20070/23384 [00:40<00:05, 566.72it/s]
 86%|████████▌ | 20127/23384 [00:40<00:05, 565.54it/s]
 86%|████████▋ | 20184/23384 [00:40<00:05, 563.89it/s]
 87%|████████▋ | 20243/23384 [00:41<00:05, 569.77it/s]
 87%|████████▋ | 20302/23384 [00:41<00:05, 573.23it/s]
 87%|████████▋ | 20362/23384 [00:41<00:05, 580.00it/s]
 87%|████████▋ | 20421/23384 [00:41<00:05, 571.43it/s]
 88%|████████▊ | 20479/23384 [00:41<00:05, 572.63it/s]
 88%|████████▊ | 20537/23384 [00:41<00:04, 573.81it/s]
 88%|████████▊ | 20595/23384 [00:41<00:04, 571.09it/s]
 88%|████████▊ | 20654/23384 [00:41<00:04, 574.08it/s]
 89%|████████▊ | 20714/23384 [00:41<00:04, 581.56it/s]
 89%|████████▉ | 20773/23384 [00:41<00:04, 578.66it/s]
 89%|████████▉ | 20831/23384 [00:42<00:04, 578.92it/s]
 89%|████████▉ | 20889/23384 [00:42<00:04, 575.26it/s]
 90%|████████▉ | 20947/23384 [00:42<00:04, 576.46it/s]
 90%|████████▉ | 21005/23384 [00:42<00:04, 569.76it/s]
 90%|█████████ | 21065/23384 [00:42<00:04, 576.85it/s]
 90%|█████████ | 21123/23384 [00:42<00:03, 569.25it/s]
 91%|█████████ | 21180/23384 [00:42<00:03, 569.14it/s]
 91%|█████████ | 21237/23384 [00:42<00:03, 563.55it/s]
 91%|█████████ | 21296/23384 [00:42<00:03, 570.15it/s]
 91%|█████████▏| 21355/23384 [00:42<00:03, 574.42it/s]
 92%|█████████▏| 21413/23384 [00:43<00:03, 572.58it/s]
 92%|█████████▏| 21473/23384 [00:43<00:03, 578.89it/s]
 92%|█████████▏| 21534/23384 [00:43<00:03, 587.37it/s]
 92%|█████████▏| 21593/23384 [00:43<00:03, 578.78it/s]
 93%|█████████▎| 21651/23384 [00:43<00:03, 577.41it/s]
 93%|█████████▎| 21709/23384 [00:43<00:02, 576.60it/s]
 93%|█████████▎| 21767/23384 [00:43<00:02, 576.74it/s]
 93%|█████████▎| 21826/23384 [00:43<00:02, 580.62it/s]
 94%|█████████▎| 21885/23384 [00:43<00:02, 573.45it/s]
 94%|█████████▍| 21943/23384 [00:43<00:02, 574.59it/s]
 94%|█████████▍| 22003/23384 [00:44<00:02, 581.22it/s]
 94%|█████████▍| 22062/23384 [00:44<00:02, 579.09it/s]
 95%|█████████▍| 22121/23384 [00:44<00:02, 579.77it/s]
 95%|█████████▍| 22179/23384 [00:44<00:02, 579.28it/s]
 95%|█████████▌| 22238/23384 [00:44<00:01, 579.94it/s]
 95%|█████████▌| 22296/23384 [00:44<00:01, 579.70it/s]
 96%|█████████▌| 22355/23384 [00:44<00:01, 581.39it/s]
 96%|█████████▌| 22414/23384 [00:44<00:01, 580.02it/s]
 96%|█████████▌| 22473/23384 [00:44<00:01, 582.00it/s]
 96%|█████████▋| 22532/23384 [00:44<00:01, 580.76it/s]
 97%|█████████▋| 22591/23384 [00:45<00:01, 583.19it/s]
 97%|█████████▋| 22650/23384 [00:45<00:01, 584.19it/s]
 97%|█████████▋| 22709/23384 [00:45<00:01, 584.85it/s]
 97%|█████████▋| 22768/23384 [00:45<00:01, 580.56it/s]
 98%|█████████▊| 22827/23384 [00:45<00:00, 580.25it/s]
 98%|█████████▊| 22886/23384 [00:45<00:00, 580.96it/s]
 98%|█████████▊| 22945/23384 [00:45<00:00, 581.03it/s]
 98%|█████████▊| 23004/23384 [00:45<00:00, 583.32it/s]
 99%|█████████▊| 23063/23384 [00:45<00:00, 582.26it/s]
 99%|█████████▉| 23122/23384 [00:46<00:00, 577.38it/s]
 99%|█████████▉| 23180/23384 [00:46<00:00, 575.03it/s]
 99%|█████████▉| 23238/23384 [00:46<00:00, 568.52it/s]
100%|█████████▉| 23296/23384 [00:46<00:00, 570.52it/s]
100%|█████████▉| 23354/23384 [00:46<00:00, 572.71it/s]
100%|██████████| 23384/23384 [00:46<00:00, 503.18it/s]

  0%|          | 0/1460 [00:00<?, ?it/s]
  5%|▌         | 74/1460 [00:00<00:01, 739.60it/s]
 10%|█         | 152/1460 [00:00<00:01, 762.83it/s]
 16%|█▌        | 229/1460 [00:00<00:01, 759.79it/s]
 21%|██        | 308/1460 [00:00<00:01, 771.17it/s]
 26%|██▋       | 386/1460 [00:00<00:01, 749.75it/s]
 32%|███▏      | 462/1460 [00:00<00:01, 747.22it/s]
 37%|███▋      | 538/1460 [00:00<00:01, 750.12it/s]
 42%|████▏     | 614/1460 [00:00<00:01, 742.70it/s]
 47%|████▋     | 689/1460 [00:00<00:01, 736.00it/s]
 52%|█████▏    | 763/1460 [00:01<00:00, 715.45it/s]
 57%|█████▋    | 837/1460 [00:01<00:00, 722.13it/s]
 62%|██████▏   | 910/1460 [00:01<00:00, 721.29it/s]
 67%|██████▋   | 983/1460 [00:01<00:00, 718.16it/s]
 72%|███████▏  | 1058/1460 [00:01<00:00, 727.17it/s]
 78%|███████▊  | 1132/1460 [00:01<00:00, 727.23it/s]
 83%|████████▎ | 1206/1460 [00:01<00:00, 730.03it/s]
 88%|████████▊ | 1280/1460 [00:01<00:00, 726.36it/s]
 93%|█████████▎| 1356/1460 [00:01<00:00, 733.46it/s]
 98%|█████████▊| 1432/1460 [00:01<00:00, 740.80it/s]
100%|██████████| 1460/1460 [00:01<00:00, 736.72it/s]
Reading ./checkpoints/t2m/Comp_v6_KLD005/opt.txt
Loading dataset t2m ...

  0%|          | 0/1460 [00:00<?, ?it/s]
 21%|██        | 308/1460 [00:00<00:00, 3077.74it/s]
 42%|████▏     | 616/1460 [00:00<00:00, 1374.00it/s]
 64%|██████▍   | 938/1460 [00:00<00:00, 1876.71it/s]
 92%|█████████▏| 1342/1460 [00:00<00:00, 2482.92it/s]
100%|██████████| 1460/1460 [00:00<00:00, 2308.30it/s]
/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', 'clip_model.visual.transformer.resblocks.0.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.0.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.0.ln_2.weight', 'clip_model.visual.transformer.resblocks.0.ln_2.bias', 'clip_model.visual.transformer.resblocks.1.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.1.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.1.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.1.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.1.ln_1.weight', 'clip_model.visual.transformer.resblocks.1.ln_1.bias', 'clip_model.visual.transformer.resblocks.1.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.1.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.1.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.1.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.1.ln_2.weight', 'clip_model.visual.transformer.resblocks.1.ln_2.bias', 'clip_model.visual.transformer.resblocks.2.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.2.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.2.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.2.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.2.ln_1.weight', 'clip_model.visual.transformer.resblocks.2.ln_1.bias', 'clip_model.visual.transformer.resblocks.2.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.2.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.2.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.2.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.2.ln_2.weight', 'clip_model.visual.transformer.resblocks.2.ln_2.bias', 'clip_model.visual.transformer.resblocks.3.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.3.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.3.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.3.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.3.ln_1.weight', 'clip_model.visual.transformer.resblocks.3.ln_1.bias', 'clip_model.visual.transformer.resblocks.3.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.3.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.3.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.3.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.3.ln_2.weight', 'clip_model.visual.transformer.resblocks.3.ln_2.bias', 'clip_model.visual.transformer.resblocks.4.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.4.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.4.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.4.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.4.ln_1.weight', 'clip_model.visual.transformer.resblocks.4.ln_1.bias', 'clip_model.visual.transformer.resblocks.4.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.4.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.4.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.4.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.4.ln_2.weight', 'clip_model.visual.transformer.resblocks.4.ln_2.bias', 'clip_model.visual.transformer.resblocks.5.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.5.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.5.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.5.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.5.ln_1.weight', 'clip_model.visual.transformer.resblocks.5.ln_1.bias', 'clip_model.visual.transformer.resblocks.5.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.5.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.5.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.5.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.5.ln_2.weight', 'clip_model.visual.transformer.resblocks.5.ln_2.bias', 'clip_model.visual.transformer.resblocks.6.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.6.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.6.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.6.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.6.ln_1.weight', 'clip_model.visual.transformer.resblocks.6.ln_1.bias', 'clip_model.visual.transformer.resblocks.6.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.6.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.6.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.6.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.6.ln_2.weight', 'clip_model.visual.transformer.resblocks.6.ln_2.bias', 'clip_model.visual.transformer.resblocks.7.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.7.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.7.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.7.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.7.ln_1.weight', 'clip_model.visual.transformer.resblocks.7.ln_1.bias', 'clip_model.visual.transformer.resblocks.7.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.7.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.7.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.7.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.7.ln_2.weight', 'clip_model.visual.transformer.resblocks.7.ln_2.bias', 'clip_model.visual.transformer.resblocks.8.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.8.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.8.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.8.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.8.ln_1.weight', 'clip_model.visual.transformer.resblocks.8.ln_1.bias', 'clip_model.visual.transformer.resblocks.8.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.8.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.8.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.8.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.8.ln_2.weight', 'clip_model.visual.transformer.resblocks.8.ln_2.bias', 'clip_model.visual.transformer.resblocks.9.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.9.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.9.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.9.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.9.ln_1.weight', 'clip_model.visual.transformer.resblocks.9.ln_1.bias', 'clip_model.visual.transformer.resblocks.9.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.9.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.9.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.9.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.9.ln_2.weight', 'clip_model.visual.transformer.resblocks.9.ln_2.bias', 'clip_model.visual.transformer.resblocks.10.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.10.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.10.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.10.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.10.ln_1.weight', 'clip_model.visual.transformer.resblocks.10.ln_1.bias', 'clip_model.visual.transformer.resblocks.10.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.10.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.10.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.10.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.10.ln_2.weight', 'clip_model.visual.transformer.resblocks.10.ln_2.bias', 'clip_model.visual.transformer.resblocks.11.attn.in_proj_weight', 'clip_model.visual.transformer.resblocks.11.attn.in_proj_bias', 'clip_model.visual.transformer.resblocks.11.attn.out_proj.weight', 'clip_model.visual.transformer.resblocks.11.attn.out_proj.bias', 'clip_model.visual.transformer.resblocks.11.ln_1.weight', 'clip_model.visual.transformer.resblocks.11.ln_1.bias', 'clip_model.visual.transformer.resblocks.11.mlp.c_fc.weight', 'clip_model.visual.transformer.resblocks.11.mlp.c_fc.bias', 'clip_model.visual.transformer.resblocks.11.mlp.c_proj.weight', 'clip_model.visual.transformer.resblocks.11.mlp.c_proj.bias', 'clip_model.visual.transformer.resblocks.11.ln_2.weight', 'clip_model.visual.transformer.resblocks.11.ln_2.bias', 'clip_model.visual.ln_post.weight', 'clip_model.visual.ln_post.bias', 'clip_model.transformer.resblocks.0.attn.in_proj_weight', 'clip_model.transformer.resblocks.0.attn.in_proj_bias', 'clip_model.transformer.resblocks.0.attn.out_proj.weight', 'clip_model.transformer.resblocks.0.attn.out_proj.bias', 'clip_model.transformer.resblocks.0.ln_1.weight', 'clip_model.transformer.resblocks.0.ln_1.bias', 'clip_model.transformer.resblocks.0.mlp.c_fc.weight', 'clip_model.transformer.resblocks.0.mlp.c_fc.bias', 'clip_model.transformer.resblocks.0.mlp.c_proj.weight', 'clip_model.transformer.resblocks.0.mlp.c_proj.bias', 'clip_model.transformer.resblocks.0.ln_2.weight', 'clip_model.transformer.resblocks.0.ln_2.bias', 'clip_model.transformer.resblocks.1.attn.in_proj_weight', 'clip_model.transformer.resblocks.1.attn.in_proj_bias', 'clip_model.transformer.resblocks.1.attn.out_proj.weight', 'clip_model.transformer.resblocks.1.attn.out_proj.bias', 'clip_model.transformer.resblocks.1.ln_1.weight', 'clip_model.transformer.resblocks.1.ln_1.bias', 'clip_model.transformer.resblocks.1.mlp.c_fc.weight', 'clip_model.transformer.resblocks.1.mlp.c_fc.bias', 'clip_model.transformer.resblocks.1.mlp.c_proj.weight', 'clip_model.transformer.resblocks.1.mlp.c_proj.bias', 'clip_model.transformer.resblocks.1.ln_2.weight', 'clip_model.transformer.resblocks.1.ln_2.bias', 'clip_model.transformer.resblocks.2.attn.in_proj_weight', 'clip_model.transformer.resblocks.2.attn.in_proj_bias', 'clip_model.transformer.resblocks.2.attn.out_proj.weight', 'clip_model.transformer.resblocks.2.attn.out_proj.bias', 'clip_model.transformer.resblocks.2.ln_1.weight', 'clip_model.transformer.resblocks.2.ln_1.bias', 'clip_model.transformer.resblocks.2.mlp.c_fc.weight', 'clip_model.transformer.resblocks.2.mlp.c_fc.bias', 'clip_model.transformer.resblocks.2.mlp.c_proj.weight', 'clip_model.transformer.resblocks.2.mlp.c_proj.bias', 'clip_model.transformer.resblocks.2.ln_2.weight', 'clip_model.transformer.resblocks.2.ln_2.bias', 'clip_model.transformer.resblocks.3.attn.in_proj_weight', 'clip_model.transformer.resblocks.3.attn.in_proj_bias', 'clip_model.transformer.resblocks.3.attn.out_proj.weight', 'clip_model.transformer.resblocks.3.attn.out_proj.bias', 'clip_model.transformer.resblocks.3.ln_1.weight', 'clip_model.transformer.resblocks.3.ln_1.bias', 'clip_model.transformer.resblocks.3.mlp.c_fc.weight', 'clip_model.transformer.resblocks.3.mlp.c_fc.bias', 'clip_model.transformer.resblocks.3.mlp.c_proj.weight', 'clip_model.transformer.resblocks.3.mlp.c_proj.bias', 'clip_model.transformer.resblocks.3.ln_2.weight', 'clip_model.transformer.resblocks.3.ln_2.bias', 'clip_model.transformer.resblocks.4.attn.in_proj_weight', 'clip_model.transformer.resblocks.4.attn.in_proj_bias', 'clip_model.transformer.resblocks.4.attn.out_proj.weight', 'clip_model.transformer.resblocks.4.attn.out_proj.bias', 'clip_model.transformer.resblocks.4.ln_1.weight', 'clip_model.transformer.resblocks.4.ln_1.bias', 'clip_model.transformer.resblocks.4.mlp.c_fc.weight', 'clip_model.transformer.resblocks.4.mlp.c_fc.bias', 'clip_model.transformer.resblocks.4.mlp.c_proj.weight', 'clip_model.transformer.resblocks.4.mlp.c_proj.bias', 'clip_model.transformer.resblocks.4.ln_2.weight', 'clip_model.transformer.resblocks.4.ln_2.bias', 'clip_model.transformer.resblocks.5.attn.in_proj_weight', 'clip_model.transformer.resblocks.5.attn.in_proj_bias', 'clip_model.transformer.resblocks.5.attn.out_proj.weight', 'clip_model.transformer.resblocks.5.attn.out_proj.bias', 'clip_model.transformer.resblocks.5.ln_1.weight', 'clip_model.transformer.resblocks.5.ln_1.bias', 'clip_model.transformer.resblocks.5.mlp.c_fc.weight', 'clip_model.transformer.resblocks.5.mlp.c_fc.bias', 'clip_model.transformer.resblocks.5.mlp.c_proj.weight', 'clip_model.transformer.resblocks.5.mlp.c_proj.bias', 'clip_model.transformer.resblocks.5.ln_2.weight', 'clip_model.transformer.resblocks.5.ln_2.bias', 'clip_model.transformer.resblocks.6.attn.in_proj_weight', 'clip_model.transformer.resblocks.6.attn.in_proj_bias', 'clip_model.transformer.resblocks.6.attn.out_proj.weight', 'clip_model.transformer.resblocks.6.attn.out_proj.bias', 'clip_model.transformer.resblocks.6.ln_1.weight', 'clip_model.transformer.resblocks.6.ln_1.bias', 'clip_model.transformer.resblocks.6.mlp.c_fc.weight', 'clip_model.transformer.resblocks.6.mlp.c_fc.bias', 'clip_model.transformer.resblocks.6.mlp.c_proj.weight', 'clip_model.transformer.resblocks.6.mlp.c_proj.bias', 'clip_model.transformer.resblocks.6.ln_2.weight', 'clip_model.transformer.resblocks.6.ln_2.bias', 'clip_model.transformer.resblocks.7.attn.in_proj_weight', 'clip_model.transformer.resblocks.7.attn.in_proj_bias', 'clip_model.transformer.resblocks.7.attn.out_proj.weight', 'clip_model.transformer.resblocks.7.attn.out_proj.bias', 'clip_model.transformer.resblocks.7.ln_1.weight', 'clip_model.transformer.resblocks.7.ln_1.bias', 'clip_model.transformer.resblocks.7.mlp.c_fc.weight', 'clip_model.transformer.resblocks.7.mlp.c_fc.bias', 'clip_model.transformer.resblocks.7.mlp.c_proj.weight', 'clip_model.transformer.resblocks.7.mlp.c_proj.bias', 'clip_model.transformer.resblocks.7.ln_2.weight', 'clip_model.transformer.resblocks.7.ln_2.bias', 'clip_model.transformer.resblocks.8.attn.in_proj_weight', 'clip_model.transformer.resblocks.8.attn.in_proj_bias', 'clip_model.transformer.resblocks.8.attn.out_proj.weight', 'clip_model.transformer.resblocks.8.attn.out_proj.bias', 'clip_model.transformer.resblocks.8.ln_1.weight', 'clip_model.transformer.resblocks.8.ln_1.bias', 'clip_model.transformer.resblocks.8.mlp.c_fc.weight', 'clip_model.transformer.resblocks.8.mlp.c_fc.bias', 'clip_model.transformer.resblocks.8.mlp.c_proj.weight', 'clip_model.transformer.resblocks.8.mlp.c_proj.bias', 'clip_model.transformer.resblocks.8.ln_2.weight', 'clip_model.transformer.resblocks.8.ln_2.bias', 'clip_model.transformer.resblocks.9.attn.in_proj_weight', 'clip_model.transformer.resblocks.9.attn.in_proj_bias', 'clip_model.transformer.resblocks.9.attn.out_proj.weight', 'clip_model.transformer.resblocks.9.attn.out_proj.bias', 'clip_model.transformer.resblocks.9.ln_1.weight', 'clip_model.transformer.resblocks.9.ln_1.bias', 'clip_model.transformer.resblocks.9.mlp.c_fc.weight', 'clip_model.transformer.resblocks.9.mlp.c_fc.bias', 'clip_model.transformer.resblocks.9.mlp.c_proj.weight', 'clip_model.transformer.resblocks.9.mlp.c_proj.bias', 'clip_model.transformer.resblocks.9.ln_2.weight', 'clip_model.transformer.resblocks.9.ln_2.bias', 'clip_model.transformer.resblocks.10.attn.in_proj_weight', 'clip_model.transformer.resblocks.10.attn.in_proj_bias', 'clip_model.transformer.resblocks.10.attn.out_proj.weight', 'clip_model.transformer.resblocks.10.attn.out_proj.bias', 'clip_model.transformer.resblocks.10.ln_1.weight', 'clip_model.transformer.resblocks.10.ln_1.bias', 'clip_model.transformer.resblocks.10.mlp.c_fc.weight', 'clip_model.transformer.resblocks.10.mlp.c_fc.bias', 'clip_model.transformer.resblocks.10.mlp.c_proj.weight', 'clip_model.transformer.resblocks.10.mlp.c_proj.bias', 'clip_model.transformer.resblocks.10.ln_2.weight', 'clip_model.transformer.resblocks.10.ln_2.bias', 'clip_model.transformer.resblocks.11.attn.in_proj_weight', 'clip_model.transformer.resblocks.11.attn.in_proj_bias', 'clip_model.transformer.resblocks.11.attn.out_proj.weight', 'clip_model.transformer.resblocks.11.attn.out_proj.bias', 'clip_model.transformer.resblocks.11.ln_1.weight', 'clip_model.transformer.resblocks.11.ln_1.bias', 'clip_model.transformer.resblocks.11.mlp.c_fc.weight', 'clip_model.transformer.resblocks.11.mlp.c_fc.bias', 'clip_model.transformer.resblocks.11.mlp.c_proj.weight', 'clip_model.transformer.resblocks.11.mlp.c_proj.bias', 'clip_model.transformer.resblocks.11.ln_2.weight', 'clip_model.transformer.resblocks.11.ln_2.bias', 'clip_model.token_embedding.weight', 'clip_model.ln_final.weight', 'clip_model.ln_final.bias'] and unexpected keys: []
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,  4.10it/s]
 34%|███▍      | 16/47 [00:03<00:06,  4.73it/s]
 68%|██████▊   | 32/47 [00:06<00:02,  5.44it/s]
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:  2.8477996783331037 avg: 2.8477996783331037
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4549513440579176 avg: 2.6513755111955106
--> 	 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 20s (- 3913m 7s) 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 34s (- 3270m 10s) 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 (- 3063m 42s) 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 (- 2951m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.5386  loss_TTT: 0.0655  acc: 0.5768  lr: 0.0000 
ep/it: 0- 249 niter:   250  1m 15s (- 2891m 55s) completed:  0%) loss_emb: 0.0000  loss: 1.5135  loss_TTT: 0.0622  acc: 0.5841  lr: 0.0000 
ep/it: 0- 299 niter:   300  1m 29s (- 2848m 34s) completed:  0%) loss_emb: 0.0000  loss: 1.5180  loss_TTT: 0.0608  acc: 0.5802  lr: 0.0000 
ep/it: 0- 349 niter:   350  1m 42s (- 2809m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.5258  loss_TTT: 0.0653  acc: 0.5806  lr: 0.0000 
Validation time:
Validation loss:1.778, accuracy:0.539
Improved accuracy from 0.00 to 0.5394260209539662!!!
ep/it: 1-  16 niter:   400  1m 59s (- 2866m 9s) completed:  0%) loss_emb: 0.0000  loss: 1.5113  loss_TTT: 0.0630  acc: 0.5830  lr: 0.0000 
ep/it: 1-  66 niter:   450  2m 14s (- 2853m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.5253  loss_TTT: 0.0650  acc: 0.5800  lr: 0.0000 
ep/it: 1- 116 niter:   500  2m 28s (- 2845m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5152  loss_TTT: 0.0618  acc: 0.5840  lr: 0.0000 
ep/it: 1- 166 niter:   550  2m 42s (- 2834m 34s) completed:  0%) loss_emb: 0.0000  loss: 1.5348  loss_TTT: 0.0596  acc: 0.5762  lr: 0.0001 
ep/it: 1- 216 niter:   600  2m 57s (- 2826m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.5409  loss_TTT: 0.0650  acc: 0.5770  lr: 0.0001 
ep/it: 1- 266 niter:   650  3m 11s (- 2818m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5467  loss_TTT: 0.0610  acc: 0.5743  lr: 0.0001 
ep/it: 1- 316 niter:   700  3m 25s (- 2805m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5308  loss_TTT: 0.0646  acc: 0.5799  lr: 0.0001 
ep/it: 1- 366 niter:   750  3m 39s (- 2797m 21s) completed:  0%) loss_emb: 0.0000  loss: 1.5377  loss_TTT: 0.0608  acc: 0.5765  lr: 0.0001 
Validation time:
Validation loss:1.746, accuracy:0.544
Improved accuracy from 0.54 to 0.5443073031694993!!!
ep/it: 2-  33 niter:   800  3m 56s (- 2825m 22s) completed:  0%) loss_emb: 0.0000  loss: 1.5281  loss_TTT: 0.0615  acc: 0.5776  lr: 0.0001 
ep/it: 2-  83 niter:   850  4m 10s (- 2817m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.5164  loss_TTT: 0.0614  acc: 0.5818  lr: 0.0001 
ep/it: 2- 133 niter:   900  4m 25s (- 2817m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.5296  loss_TTT: 0.0594  acc: 0.5787  lr: 0.0001 
ep/it: 2- 183 niter:   950  4m 39s (- 2814m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5392  loss_TTT: 0.0645  acc: 0.5774  lr: 0.0001 
ep/it: 2- 233 niter:  1000  4m 53s (- 2807m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5200  loss_TTT: 0.0610  acc: 0.5811  lr: 0.0001 
ep/it: 2- 283 niter:  1050  5m 8s (- 2806m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.5164  loss_TTT: 0.0647  acc: 0.5843  lr: 0.0001 
ep/it: 2- 333 niter:  1100  5m 22s (- 2804m 42s) completed:  0%) loss_emb: 0.0000  loss: 1.5034  loss_TTT: 0.0595  acc: 0.5862  lr: 0.0001 
Validation time:
Validation loss:1.758, accuracy:0.545
Improved accuracy from 0.54 to 0.5453105646630992!!!
ep/it: 3-   0 niter:  1150  5m 39s (- 2824m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.4920  loss_TTT: 0.0591  acc: 0.5884  lr: 0.0001 
ep/it: 3-  50 niter:  1200  5m 54s (- 2819m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5426  loss_TTT: 0.0612  acc: 0.5765  lr: 0.0001 
ep/it: 3- 100 niter:  1250  6m 8s (- 2814m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.5394  loss_TTT: 0.0602  acc: 0.5777  lr: 0.0001 
ep/it: 3- 150 niter:  1300  6m 22s (- 2808m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.5298  loss_TTT: 0.0628  acc: 0.5810  lr: 0.0001 
ep/it: 3- 200 niter:  1350  6m 35s (- 2801m 55s) completed:  0%) loss_emb: 0.0000  loss: 1.4983  loss_TTT: 0.0596  acc: 0.5866  lr: 0.0001 
ep/it: 3- 250 niter:  1400  6m 50s (- 2797m 55s) completed:  0%) loss_emb: 0.0000  loss: 1.5403  loss_TTT: 0.0620  acc: 0.5772  lr: 0.0001 
ep/it: 3- 300 niter:  1450  7m 4s (- 2792m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5198  loss_TTT: 0.0569  acc: 0.5811  lr: 0.0001 
ep/it: 3- 350 niter:  1500  7m 18s (- 2790m 4s) completed:  0%) loss_emb: 0.0000  loss: 1.5137  loss_TTT: 0.0633  acc: 0.5853  lr: 0.0001 
Validation time:
Validation loss:1.771, accuracy:0.542
ep/it: 4-  17 niter:  1550  7m 35s (- 2806m 15s) completed:  0%) loss_emb: 0.0000  loss: 1.5247  loss_TTT: 0.0592  acc: 0.5810  lr: 0.0002 
ep/it: 4-  67 niter:  1600  7m 49s (- 2804m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.5298  loss_TTT: 0.0575  acc: 0.5784  lr: 0.0002 
ep/it: 4- 117 niter:  1650  8m 3s (- 2800m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.5354  loss_TTT: 0.0615  acc: 0.5798  lr: 0.0002 
ep/it: 4- 167 niter:  1700  8m 18s (- 2797m 35s) completed:  0%) loss_emb: 0.0000  loss: 1.5494  loss_TTT: 0.0601  acc: 0.5748  lr: 0.0002 
ep/it: 4- 217 niter:  1750  8m 32s (- 2796m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.5427  loss_TTT: 0.0590  acc: 0.5753  lr: 0.0002 
ep/it: 4- 267 niter:  1800  8m 46s (- 2792m 37s) completed:  0%) loss_emb: 0.0000  loss: 1.5311  loss_TTT: 0.0599  acc: 0.5785  lr: 0.0002 
ep/it: 4- 317 niter:  1850  9m 0s (- 2790m 9s) completed:  0%) loss_emb: 0.0000  loss: 1.5120  loss_TTT: 0.0570  acc: 0.5841  lr: 0.0002 
ep/it: 4- 367 niter:  1900  9m 15s (- 2788m 3s) completed:  0%) loss_emb: 0.0000  loss: 1.5402  loss_TTT: 0.0625  acc: 0.5774  lr: 0.0002 
Validation time:
Validation loss:1.748, accuracy:0.547
Improved accuracy from 0.55 to 0.5467607923175978!!!
ep/it: 5-  34 niter:  1950  9m 31s (- 2798m 31s) completed:  0%) loss_emb: 0.0000  loss: 1.5608  loss_TTT: 0.0627  acc: 0.5723  lr: 0.0002 
ep/it: 5-  84 niter:  2000  9m 46s (- 2796m 56s) completed:  0%) loss_emb: 0.0000  loss: 1.4903  loss_TTT: 0.0606  acc: 0.5879  lr: 0.0002 
ep/it: 5- 134 niter:  2050  10m 0s (- 2796m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.5231  loss_TTT: 0.0602  acc: 0.5804  lr: 0.0002 
ep/it: 5- 184 niter:  2100  10m 15s (- 2794m 24s) completed:  0%) loss_emb: 0.0000  loss: 1.5294  loss_TTT: 0.0562  acc: 0.5803  lr: 0.0002 
ep/it: 5- 234 niter:  2150  10m 29s (- 2792m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.5246  loss_TTT: 0.0583  acc: 0.5794  lr: 0.0002 
ep/it: 5- 284 niter:  2200  10m 44s (- 2792m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.5079  loss_TTT: 0.0578  acc: 0.5835  lr: 0.0002 
ep/it: 5- 334 niter:  2250  10m 58s (- 2790m 55s) completed:  0%) loss_emb: 0.0000  loss: 1.5288  loss_TTT: 0.0604  acc: 0.5769  lr: 0.0002 
Validation time:
Validation loss:1.721, accuracy:0.549
Improved accuracy from 0.55 to 0.5489002207051152!!!
ep/it: 6-   1 niter:  2300  11m 15s (- 2801m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.5677  loss_TTT: 0.0594  acc: 0.5686  lr: 0.0002 
ep/it: 6-  51 niter:  2350  11m 30s (- 2800m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.5159  loss_TTT: 0.0574  acc: 0.5809  lr: 0.0002 
ep/it: 6- 101 niter:  2400  11m 44s (- 2797m 46s) completed:  0%) loss_emb: 0.0000  loss: 1.5208  loss_TTT: 0.0579  acc: 0.5802  lr: 0.0002 
ep/it: 6- 151 niter:  2450  11m 58s (- 2795m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5273  loss_TTT: 0.0622  acc: 0.5798  lr: 0.0002 
ep/it: 6- 201 niter:  2500  12m 12s (- 2792m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.5259  loss_TTT: 0.0594  acc: 0.5788  lr: 0.0002 
ep/it: 6- 251 niter:  2550  12m 26s (- 2791m 50s) completed:  0%) loss_emb: 0.0000  loss: 1.5091  loss_TTT: 0.0586  acc: 0.5825  lr: 0.0002 
ep/it: 6- 301 niter:  2600  12m 41s (- 2790m 11s) completed:  0%) loss_emb: 0.0000  loss: 1.5340  loss_TTT: 0.0602  acc: 0.5777  lr: 0.0002 
ep/it: 6- 351 niter:  2650  12m 55s (- 2788m 58s) completed:  0%) loss_emb: 0.0000  loss: 1.5248  loss_TTT: 0.0586  acc: 0.5775  lr: 0.0002 
Validation time:
Validation loss:1.733, accuracy:0.545
ep/it: 7-  18 niter:  2700  13m 12s (- 2795m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.5139  loss_TTT: 0.0578  acc: 0.5798  lr: 0.0002 
ep/it: 7-  68 niter:  2750  13m 26s (- 2793m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.4854  loss_TTT: 0.0554  acc: 0.5878  lr: 0.0002 
ep/it: 7- 118 niter:  2800  13m 40s (- 2791m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.5103  loss_TTT: 0.0569  acc: 0.5830  lr: 0.0002 
ep/it: 7- 168 niter:  2850  13m 54s (- 2790m 30s) completed:  0%) loss_emb: 0.0000  loss: 1.4978  loss_TTT: 0.0564  acc: 0.5838  lr: 0.0002 
ep/it: 7- 218 niter:  2900  14m 8s (- 2787m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.5124  loss_TTT: 0.0560  acc: 0.5794  lr: 0.0002 
ep/it: 7- 268 niter:  2950  14m 22s (- 2786m 7s) completed:  0%) loss_emb: 0.0000  loss: 1.5123  loss_TTT: 0.0588  acc: 0.5805  lr: 0.0002 
ep/it: 7- 318 niter:  3000  14m 37s (- 2784m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.5210  loss_TTT: 0.0589  acc: 0.5804  lr: 0.0002 
ep/it: 7- 368 niter:  3050  14m 51s (- 2783m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.5084  loss_TTT: 0.0535  acc: 0.5811  lr: 0.0002 
Validation time:
Validation loss:1.699, accuracy:0.551
Improved accuracy from 0.55 to 0.5514519966166952!!!
ep/it: 8-  35 niter:  3100  15m 8s (- 2791m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.4534  loss_TTT: 0.0540  acc: 0.5948  lr: 0.0002 
ep/it: 8-  85 niter:  3150  15m 22s (- 2789m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5077  loss_TTT: 0.0569  acc: 0.5824  lr: 0.0002 
ep/it: 8- 135 niter:  3200  15m 36s (- 2787m 5s) completed:  0%) loss_emb: 0.0000  loss: 1.5286  loss_TTT: 0.0595  acc: 0.5774  lr: 0.0002 
ep/it: 8- 185 niter:  3250  15m 50s (- 2785m 47s) completed:  0%) loss_emb: 0.0000  loss: 1.5277  loss_TTT: 0.0585  acc: 0.5777  lr: 0.0002 
ep/it: 8- 235 niter:  3300  16m 5s (- 2783m 54s) completed:  0%) loss_emb: 0.0000  loss: 1.5141  loss_TTT: 0.0559  acc: 0.5800  lr: 0.0002 
ep/it: 8- 285 niter:  3350  16m 19s (- 2781m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.5054  loss_TTT: 0.0578  acc: 0.5803  lr: 0.0002 
ep/it: 8- 335 niter:  3400  16m 33s (- 2780m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.5145  loss_TTT: 0.0568  acc: 0.5787  lr: 0.0002 
Validation time:
Validation loss:1.695, accuracy:0.553
Improved accuracy from 0.55 to 0.5533339329387831!!!
ep/it: 9-   2 niter:  3450  16m 50s (- 2787m 40s) completed:  0%) loss_emb: 0.0000  loss: 1.5043  loss_TTT: 0.0565  acc: 0.5812  lr: 0.0002 
ep/it: 9-  52 niter:  3500  17m 4s (- 2785m 50s) completed:  0%) loss_emb: 0.0000  loss: 1.4946  loss_TTT: 0.0539  acc: 0.5836  lr: 0.0002 
ep/it: 9- 102 niter:  3550  17m 19s (- 2785m 48s) completed:  0%) loss_emb: 0.0000  loss: 1.4638  loss_TTT: 0.0547  acc: 0.5910  lr: 0.0002 
ep/it: 9- 152 niter:  3600  17m 33s (- 2784m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.4824  loss_TTT: 0.0547  acc: 0.5858  lr: 0.0002 
ep/it: 9- 202 niter:  3650  17m 47s (- 2782m 27s) completed:  0%) loss_emb: 0.0000  loss: 1.5180  loss_TTT: 0.0609  acc: 0.5784  lr: 0.0002 
ep/it: 9- 252 niter:  3700  18m 1s (- 2780m 33s) completed:  0%) loss_emb: 0.0000  loss: 1.5284  loss_TTT: 0.0559  acc: 0.5766  lr: 0.0002 
ep/it: 9- 302 niter:  3750  18m 15s (- 2779m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.4874  loss_TTT: 0.0550  acc: 0.5856  lr: 0.0002 
ep/it: 9- 352 niter:  3800  18m 29s (- 2778m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.5107  loss_TTT: 0.0548  acc: 0.5777  lr: 0.0002 
Validation time:
Validation loss:1.736, accuracy:0.541
ep/it:10-  19 niter:  3850  18m 47s (- 2784m 18s) completed:  0%) loss_emb: 0.0000  loss: 1.4908  loss_TTT: 0.0528  acc: 0.5852  lr: 0.0002 
ep/it:10-  69 niter:  3900  19m 1s (- 2783m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.4651  loss_TTT: 0.0548  acc: 0.5903  lr: 0.0002 
ep/it:10- 119 niter:  3950  19m 15s (- 2781m 56s) completed:  0%) loss_emb: 0.0000  loss: 1.4786  loss_TTT: 0.0538  acc: 0.5878  lr: 0.0002 
ep/it:10- 169 niter:  4000  19m 29s (- 2780m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.4568  loss_TTT: 0.0547  acc: 0.5936  lr: 0.0002 
ep/it:10- 219 niter:  4050  19m 44s (- 2780m 21s) completed:  0%) loss_emb: 0.0000  loss: 1.4829  loss_TTT: 0.0568  acc: 0.5874  lr: 0.0002 
ep/it:10- 269 niter:  4100  19m 58s (- 2780m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.4666  loss_TTT: 0.0550  acc: 0.5905  lr: 0.0002 
ep/it:10- 319 niter:  4150  20m 13s (- 2778m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.4627  loss_TTT: 0.0554  acc: 0.5912  lr: 0.0002 
ep/it:10- 369 niter:  4200  20m 27s (- 2777m 8s) completed:  0%) loss_emb: 0.0000  loss: 1.5004  loss_TTT: 0.0530  acc: 0.5804  lr: 0.0002 
Validation time:
Validation loss:1.691, accuracy:0.551
ep/it:11-  36 niter:  4250  20m 43s (- 2781m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.4910  loss_TTT: 0.0514  acc: 0.5846  lr: 0.0002 
ep/it:11-  86 niter:  4300  20m 57s (- 2779m 39s) completed:  0%) loss_emb: 0.0000  loss: 1.4929  loss_TTT: 0.0507  acc: 0.5813  lr: 0.0002 
ep/it:11- 136 niter:  4350  21m 11s (- 2778m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.4702  loss_TTT: 0.0540  acc: 0.5894  lr: 0.0002 
ep/it:11- 186 niter:  4400  21m 25s (- 2776m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5039  loss_TTT: 0.0498  acc: 0.5785  lr: 0.0002 
ep/it:11- 236 niter:  4450  21m 39s (- 2774m 57s) completed:  0%) loss_emb: 0.0000  loss: 1.5002  loss_TTT: 0.0554  acc: 0.5834  lr: 0.0002 
ep/it:11- 286 niter:  4500  21m 53s (- 2773m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.4604  loss_TTT: 0.0528  acc: 0.5907  lr: 0.0002 
ep/it:11- 336 niter:  4550  22m 8s (- 2773m 20s) completed:  0%) loss_emb: 0.0000  loss: 1.4742  loss_TTT: 0.0524  acc: 0.5867  lr: 0.0002 
Validation time:
Validation loss:1.703, accuracy:0.549
ep/it:12-   3 niter:  4600  22m 24s (- 2776m 59s) completed:  0%) loss_emb: 0.0000  loss: 1.4682  loss_TTT: 0.0537  acc: 0.5905  lr: 0.0002 
ep/it:12-  53 niter:  4650  22m 39s (- 2775m 49s) completed:  0%) loss_emb: 0.0000  loss: 1.4945  loss_TTT: 0.0510  acc: 0.5821  lr: 0.0002 
ep/it:12- 103 niter:  4700  22m 53s (- 2775m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.4805  loss_TTT: 0.0527  acc: 0.5849  lr: 0.0002 
ep/it:12- 153 niter:  4750  23m 7s (- 2773m 32s) completed:  0%) loss_emb: 0.0000  loss: 1.4770  loss_TTT: 0.0501  acc: 0.5864  lr: 0.0002 
ep/it:12- 203 niter:  4800  23m 21s (- 2772m 0s) completed:  0%) loss_emb: 0.0000  loss: 1.4976  loss_TTT: 0.0519  acc: 0.5816  lr: 0.0002 
ep/it:12- 253 niter:  4850  23m 35s (- 2771m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.4572  loss_TTT: 0.0507  acc: 0.5910  lr: 0.0002 
ep/it:12- 303 niter:  4900  23m 49s (- 2769m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.4482  loss_TTT: 0.0535  acc: 0.5944  lr: 0.0002 
ep/it:12- 353 niter:  4950  24m 4s (- 2769m 14s) completed:  0%) loss_emb: 0.0000  loss: 1.4729  loss_TTT: 0.0536  acc: 0.5865  lr: 0.0002 
Validation time:
Validation loss:1.699, accuracy:0.549
ep/it:13-  20 niter:  5000  24m 20s (- 2773m 26s) completed:  0%) loss_emb: 0.0000  loss: 1.4752  loss_TTT: 0.0516  acc: 0.5865  lr: 0.0002 
ep/it:13-  70 niter:  5050  24m 35s (- 2773m 25s) completed:  0%) loss_emb: 0.0000  loss: 1.4874  loss_TTT: 0.0551  acc: 0.5836  lr: 0.0002 
ep/it:13- 120 niter:  5100  24m 50s (- 2772m 38s) completed:  0%) loss_emb: 0.0000  loss: 1.4479  loss_TTT: 0.0522  acc: 0.5933  lr: 0.0002 
ep/it:13- 170 niter:  5150  25m 4s (- 2771m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.4803  loss_TTT: 0.0539  acc: 0.5852  lr: 0.0002 
ep/it:13- 220 niter:  5200  25m 18s (- 2770m 23s) completed:  0%) loss_emb: 0.0000  loss: 1.4970  loss_TTT: 0.0552  acc: 0.5813  lr: 0.0002 
ep/it:13- 270 niter:  5250  25m 32s (- 2769m 6s) completed:  0%) loss_emb: 0.0000  loss: 1.4682  loss_TTT: 0.0531  acc: 0.5869  lr: 0.0002 
ep/it:13- 320 niter:  5300  25m 46s (- 2767m 55s) completed:  0%) loss_emb: 0.0000  loss: 1.4921  loss_TTT: 0.0516  acc: 0.5819  lr: 0.0002 
ep/it:13- 370 niter:  5350  26m 0s (- 2766m 53s) completed:  0%) loss_emb: 0.0000  loss: 1.4866  loss_TTT: 0.0526  acc: 0.5830  lr: 0.0002 
Validation time:
Validation loss:1.700, accuracy:0.548
ep/it:14-  37 niter:  5400  26m 16s (- 2769m 36s) completed:  0%) loss_emb: 0.0000  loss: 1.4867  loss_TTT: 0.0516  acc: 0.5829  lr: 0.0002 
ep/it:14-  87 niter:  5450  26m 30s (- 2768m 17s) completed:  0%) loss_emb: 0.0000  loss: 1.4798  loss_TTT: 0.0517  acc: 0.5849  lr: 0.0002 
ep/it:14- 137 niter:  5500  26m 44s (- 2767m 12s) completed:  0%) loss_emb: 0.0000  loss: 1.4700  loss_TTT: 0.0536  acc: 0.5883  lr: 0.0002 
ep/it:14- 187 niter:  5550  26m 59s (- 2767m 2s) completed:  0%) loss_emb: 0.0000  loss: 1.4849  loss_TTT: 0.0537  acc: 0.5833  lr: 0.0002 
ep/it:14- 237 niter:  5600  27m 13s (- 2766m 36s) completed:  0%) loss_emb: 0.0000  loss: 1.4682  loss_TTT: 0.0532  acc: 0.5865  lr: 0.0002 
ep/it:14- 287 niter:  5650  27m 28s (- 2765m 29s) completed:  0%) loss_emb: 0.0000  loss: 1.4683  loss_TTT: 0.0500  acc: 0.5873  lr: 0.0002 
ep/it:14- 337 niter:  5700  27m 42s (- 2764m 28s) completed:  0%) loss_emb: 0.0000  loss: 1.4808  loss_TTT: 0.0515  acc: 0.5840  lr: 0.0002 
Validation time:
Validation loss:1.668, accuracy:0.557
Improved accuracy from 0.55 to 0.5572814980278844!!!
ep/it:15-   4 niter:  5750  27m 58s (- 2767m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4875  loss_TTT: 0.0536  acc: 0.5836  lr: 0.0002 
ep/it:15-  54 niter:  5800  28m 13s (- 2766m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4713  loss_TTT: 0.0523  acc: 0.5867  lr: 0.0002 
ep/it:15- 104 niter:  5850  28m 26s (- 2765m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.4815  loss_TTT: 0.0504  acc: 0.5829  lr: 0.0002 
ep/it:15- 154 niter:  5900  28m 41s (- 2764m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4629  loss_TTT: 0.0491  acc: 0.5861  lr: 0.0002 
ep/it:15- 204 niter:  5950  28m 55s (- 2763m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4754  loss_TTT: 0.0498  acc: 0.5845  lr: 0.0002 
ep/it:15- 254 niter:  6000  29m 9s (- 2762m 52s) completed:  1%) loss_emb: 0.0000  loss: 1.4911  loss_TTT: 0.0527  acc: 0.5807  lr: 0.0002 
ep/it:15- 304 niter:  6050  29m 24s (- 2762m 43s) completed:  1%) loss_emb: 0.0000  loss: 1.4340  loss_TTT: 0.0500  acc: 0.5975  lr: 0.0002 
ep/it:15- 354 niter:  6100  29m 38s (- 2761m 34s) completed:  1%) loss_emb: 0.0000  loss: 1.4773  loss_TTT: 0.0514  acc: 0.5839  lr: 0.0002 
Validation time:
Validation loss:1.680, accuracy:0.552
ep/it:16-  21 niter:  6150  29m 54s (- 2764m 17s) completed:  1%) loss_emb: 0.0000  loss: 1.4723  loss_TTT: 0.0498  acc: 0.5855  lr: 0.0002 
ep/it:16-  71 niter:  6200  30m 9s (- 2763m 35s) completed:  1%) loss_emb: 0.0000  loss: 1.4398  loss_TTT: 0.0512  acc: 0.5931  lr: 0.0002 
ep/it:16- 121 niter:  6250  30m 23s (- 2763m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4667  loss_TTT: 0.0498  acc: 0.5870  lr: 0.0002 
ep/it:16- 171 niter:  6300  30m 37s (- 2762m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4689  loss_TTT: 0.0505  acc: 0.5849  lr: 0.0002 
ep/it:16- 221 niter:  6350  30m 52s (- 2762m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4515  loss_TTT: 0.0469  acc: 0.5895  lr: 0.0002 
ep/it:16- 271 niter:  6400  31m 6s (- 2761m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4771  loss_TTT: 0.0502  acc: 0.5847  lr: 0.0002 
ep/it:16- 321 niter:  6450  31m 20s (- 2759m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4499  loss_TTT: 0.0520  acc: 0.5918  lr: 0.0002 
ep/it:16- 371 niter:  6500  31m 34s (- 2758m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4428  loss_TTT: 0.0507  acc: 0.5947  lr: 0.0002 
Validation time:
Validation loss:1.628, accuracy:0.564
Improved accuracy from 0.56 to 0.5642821892448093!!!
ep/it:17-  38 niter:  6550  31m 51s (- 2762m 21s) completed:  1%) loss_emb: 0.0000  loss: 1.4439  loss_TTT: 0.0507  acc: 0.5926  lr: 0.0002 
ep/it:17-  88 niter:  6600  32m 5s (- 2761m 33s) completed:  1%) loss_emb: 0.0000  loss: 1.4467  loss_TTT: 0.0501  acc: 0.5930  lr: 0.0002 
ep/it:17- 138 niter:  6650  32m 19s (- 2760m 21s) completed:  1%) loss_emb: 0.0000  loss: 1.4640  loss_TTT: 0.0496  acc: 0.5875  lr: 0.0002 
ep/it:17- 188 niter:  6700  32m 33s (- 2759m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4561  loss_TTT: 0.0500  acc: 0.5884  lr: 0.0002 
ep/it:17- 238 niter:  6750  32m 47s (- 2758m 3s) completed:  1%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0504  acc: 0.5987  lr: 0.0002 
ep/it:17- 288 niter:  6800  33m 1s (- 2756m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4501  loss_TTT: 0.0480  acc: 0.5894  lr: 0.0002 
ep/it:17- 338 niter:  6850  33m 15s (- 2756m 15s) completed:  1%) loss_emb: 0.0000  loss: 1.4732  loss_TTT: 0.0519  acc: 0.5846  lr: 0.0002 
Validation time:
Validation loss:1.634, accuracy:0.560
ep/it:18-   5 niter:  6900  33m 32s (- 2759m 9s) completed:  1%) loss_emb: 0.0000  loss: 1.4440  loss_TTT: 0.0500  acc: 0.5922  lr: 0.0002 
ep/it:18-  55 niter:  6950  33m 46s (- 2757m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4638  loss_TTT: 0.0494  acc: 0.5870  lr: 0.0002 
ep/it:18- 105 niter:  7000  34m 0s (- 2756m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4447  loss_TTT: 0.0522  acc: 0.5912  lr: 0.0002 
ep/it:18- 155 niter:  7050  34m 14s (- 2756m 35s) completed:  1%) loss_emb: 0.0000  loss: 1.4694  loss_TTT: 0.0518  acc: 0.5859  lr: 0.0002 
ep/it:18- 205 niter:  7100  34m 28s (- 2755m 20s) completed:  1%) loss_emb: 0.0000  loss: 1.4413  loss_TTT: 0.0474  acc: 0.5918  lr: 0.0002 
ep/it:18- 255 niter:  7150  34m 42s (- 2754m 16s) completed:  1%) loss_emb: 0.0000  loss: 1.4664  loss_TTT: 0.0498  acc: 0.5856  lr: 0.0002 
ep/it:18- 305 niter:  7200  34m 56s (- 2753m 19s) completed:  1%) loss_emb: 0.0000  loss: 1.4559  loss_TTT: 0.0507  acc: 0.5872  lr: 0.0002 
ep/it:18- 355 niter:  7250  35m 10s (- 2752m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4323  loss_TTT: 0.0497  acc: 0.5939  lr: 0.0002 
Validation time:
Validation loss:1.626, accuracy:0.564
ep/it:19-  22 niter:  7300  35m 26s (- 2754m 16s) completed:  1%) loss_emb: 0.0000  loss: 1.4577  loss_TTT: 0.0513  acc: 0.5873  lr: 0.0002 
ep/it:19-  72 niter:  7350  35m 41s (- 2753m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4731  loss_TTT: 0.0490  acc: 0.5852  lr: 0.0002 
ep/it:19- 122 niter:  7400  35m 55s (- 2752m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4448  loss_TTT: 0.0470  acc: 0.5902  lr: 0.0002 
ep/it:19- 172 niter:  7450  36m 9s (- 2752m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4424  loss_TTT: 0.0505  acc: 0.5917  lr: 0.0002 
ep/it:19- 222 niter:  7500  36m 23s (- 2751m 40s) completed:  1%) loss_emb: 0.0000  loss: 1.4353  loss_TTT: 0.0466  acc: 0.5924  lr: 0.0002 
ep/it:19- 272 niter:  7550  36m 38s (- 2751m 16s) completed:  1%) loss_emb: 0.0000  loss: 1.4741  loss_TTT: 0.0511  acc: 0.5829  lr: 0.0002 
ep/it:19- 322 niter:  7600  36m 52s (- 2750m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4518  loss_TTT: 0.0512  acc: 0.5908  lr: 0.0002 
ep/it:19- 372 niter:  7650  37m 6s (- 2749m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0479  acc: 0.5944  lr: 0.0002 
Validation time:
Validation loss:1.631, accuracy:0.561
ep/it:20-  39 niter:  7700  37m 23s (- 2752m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.4681  loss_TTT: 0.0524  acc: 0.5875  lr: 0.0002 
ep/it:20-  89 niter:  7750  37m 37s (- 2751m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.4779  loss_TTT: 0.0515  acc: 0.5821  lr: 0.0002 
ep/it:20- 139 niter:  7800  37m 51s (- 2750m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4521  loss_TTT: 0.0505  acc: 0.5886  lr: 0.0002 
ep/it:20- 189 niter:  7850  38m 5s (- 2749m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4628  loss_TTT: 0.0483  acc: 0.5868  lr: 0.0002 
ep/it:20- 239 niter:  7900  38m 19s (- 2748m 30s) completed:  1%) loss_emb: 0.0000  loss: 1.4520  loss_TTT: 0.0478  acc: 0.5879  lr: 0.0002 
ep/it:20- 289 niter:  7950  38m 33s (- 2747m 44s) completed:  1%) loss_emb: 0.0000  loss: 1.4616  loss_TTT: 0.0496  acc: 0.5876  lr: 0.0002 
ep/it:20- 339 niter:  8000  38m 47s (- 2746m 54s) completed:  1%) loss_emb: 0.0000  loss: 1.4359  loss_TTT: 0.0489  acc: 0.5923  lr: 0.0002 
Validation time:
Validation loss:1.596, accuracy:0.566
Improved accuracy from 0.56 to 0.5659732196642004!!!
ep/it:21-   6 niter:  8050  39m 5s (- 2750m 29s) completed:  1%) loss_emb: 0.0000  loss: 1.4487  loss_TTT: 0.0488  acc: 0.5905  lr: 0.0002 
ep/it:21-  56 niter:  8100  39m 19s (- 2750m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4507  loss_TTT: 0.0490  acc: 0.5915  lr: 0.0002 
ep/it:21- 106 niter:  8150  39m 33s (- 2749m 29s) completed:  1%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0459  acc: 0.5950  lr: 0.0002 
ep/it:21- 156 niter:  8200  39m 48s (- 2748m 43s) completed:  1%) loss_emb: 0.0000  loss: 1.4713  loss_TTT: 0.0519  acc: 0.5847  lr: 0.0002 
ep/it:21- 206 niter:  8250  40m 2s (- 2748m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.4318  loss_TTT: 0.0494  acc: 0.5929  lr: 0.0002 
ep/it:21- 256 niter:  8300  40m 16s (- 2747m 36s) completed:  1%) loss_emb: 0.0000  loss: 1.4549  loss_TTT: 0.0492  acc: 0.5874  lr: 0.0002 
ep/it:21- 306 niter:  8350  40m 30s (- 2746m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.4261  loss_TTT: 0.0513  acc: 0.5956  lr: 0.0002 
ep/it:21- 356 niter:  8400  40m 45s (- 2746m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4759  loss_TTT: 0.0494  acc: 0.5823  lr: 0.0002 
Validation time:
Validation loss:1.568, accuracy:0.577
Improved accuracy from 0.57 to 0.5767016955043959!!!
ep/it:22-  23 niter:  8450  41m 2s (- 2749m 11s) completed:  1%) loss_emb: 0.0000  loss: 1.4194  loss_TTT: 0.0461  acc: 0.5957  lr: 0.0002 
ep/it:22-  73 niter:  8500  41m 16s (- 2748m 43s) completed:  1%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0483  acc: 0.5961  lr: 0.0002 
ep/it:22- 123 niter:  8550  41m 31s (- 2748m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4579  loss_TTT: 0.0478  acc: 0.5874  lr: 0.0002 
ep/it:22- 173 niter:  8600  41m 45s (- 2748m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4496  loss_TTT: 0.0475  acc: 0.5891  lr: 0.0002 
ep/it:22- 223 niter:  8650  42m 0s (- 2747m 55s) completed:  1%) loss_emb: 0.0000  loss: 1.4504  loss_TTT: 0.0501  acc: 0.5882  lr: 0.0002 
ep/it:22- 273 niter:  8700  42m 14s (- 2747m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.4344  loss_TTT: 0.0506  acc: 0.5921  lr: 0.0002 
ep/it:22- 323 niter:  8750  42m 29s (- 2746m 59s) completed:  1%) loss_emb: 0.0000  loss: 1.4685  loss_TTT: 0.0513  acc: 0.5850  lr: 0.0002 
ep/it:22- 373 niter:  8800  42m 43s (- 2746m 40s) completed:  1%) loss_emb: 0.0000  loss: 1.4689  loss_TTT: 0.0511  acc: 0.5850  lr: 0.0002 
Validation time:
Validation loss:1.623, accuracy:0.561
ep/it:23-  40 niter:  8850  43m 0s (- 2748m 52s) completed:  1%) loss_emb: 0.0000  loss: 1.4114  loss_TTT: 0.0482  acc: 0.5988  lr: 0.0002 
ep/it:23-  90 niter:  8900  43m 15s (- 2748m 34s) completed:  1%) loss_emb: 0.0000  loss: 1.4357  loss_TTT: 0.0478  acc: 0.5928  lr: 0.0002 
ep/it:23- 140 niter:  8950  43m 29s (- 2748m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4316  loss_TTT: 0.0460  acc: 0.5936  lr: 0.0002 
ep/it:23- 190 niter:  9000  43m 43s (- 2747m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4710  loss_TTT: 0.0473  acc: 0.5839  lr: 0.0002 
ep/it:23- 240 niter:  9050  43m 58s (- 2747m 49s) completed:  1%) loss_emb: 0.0000  loss: 1.5022  loss_TTT: 0.0512  acc: 0.5747  lr: 0.0002 
ep/it:23- 290 niter:  9100  44m 13s (- 2747m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.4459  loss_TTT: 0.0491  acc: 0.5899  lr: 0.0002 
ep/it:23- 340 niter:  9150  44m 27s (- 2746m 45s) completed:  1%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0512  acc: 0.5942  lr: 0.0002 
Validation time:
Validation loss:1.653, accuracy:0.554
ep/it:24-   7 niter:  9200  44m 43s (- 2748m 38s) completed:  1%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0450  acc: 0.5903  lr: 0.0002 
ep/it:24-  57 niter:  9250  44m 58s (- 2748m 3s) completed:  1%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0486  acc: 0.5959  lr: 0.0002 
ep/it:24- 107 niter:  9300  45m 12s (- 2747m 1s) completed:  1%) loss_emb: 0.0000  loss: 1.4438  loss_TTT: 0.0511  acc: 0.5895  lr: 0.0002 
ep/it:24- 157 niter:  9350  45m 26s (- 2746m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4532  loss_TTT: 0.0467  acc: 0.5884  lr: 0.0002 
ep/it:24- 207 niter:  9400  45m 40s (- 2745m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4573  loss_TTT: 0.0472  acc: 0.5872  lr: 0.0002 
ep/it:24- 257 niter:  9450  45m 53s (- 2744m 23s) completed:  1%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0487  acc: 0.5939  lr: 0.0002 
ep/it:24- 307 niter:  9500  46m 8s (- 2743m 53s) completed:  1%) loss_emb: 0.0000  loss: 1.4374  loss_TTT: 0.0521  acc: 0.5937  lr: 0.0002 
ep/it:24- 357 niter:  9550  46m 22s (- 2743m 47s) completed:  1%) loss_emb: 0.0000  loss: 1.4613  loss_TTT: 0.0532  acc: 0.5872  lr: 0.0002 
Validation time:
Validation loss:1.623, accuracy:0.561
ep/it:25-  24 niter:  9600  46m 39s (- 2745m 42s) completed:  1%) loss_emb: 0.0000  loss: 1.4328  loss_TTT: 0.0469  acc: 0.5924  lr: 0.0002 
ep/it:25-  74 niter:  9650  46m 53s (- 2745m 0s) completed:  1%) loss_emb: 0.0000  loss: 1.4264  loss_TTT: 0.0495  acc: 0.5941  lr: 0.0002 
ep/it:25- 124 niter:  9700  47m 8s (- 2744m 28s) completed:  1%) loss_emb: 0.0000  loss: 1.4400  loss_TTT: 0.0472  acc: 0.5897  lr: 0.0002 
ep/it:25- 174 niter:  9750  47m 22s (- 2743m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4242  loss_TTT: 0.0476  acc: 0.5958  lr: 0.0002 
ep/it:25- 224 niter:  9800  47m 36s (- 2743m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0486  acc: 0.5974  lr: 0.0002 
ep/it:25- 274 niter:  9850  47m 50s (- 2742m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4302  loss_TTT: 0.0468  acc: 0.5944  lr: 0.0002 
ep/it:25- 324 niter:  9900  48m 5s (- 2742m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.4214  loss_TTT: 0.0480  acc: 0.5955  lr: 0.0002 
ep/it:25- 374 niter:  9950  48m 19s (- 2741m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0477  acc: 0.5944  lr: 0.0002 
Validation time:
Validation loss:1.596, accuracy:0.566
ep/it:26-  41 niter: 10000  48m 36s (- 2743m 51s) completed:  1%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0456  acc: 0.5963  lr: 0.0002 
ep/it:26-  91 niter: 10050  48m 51s (- 2743m 46s) completed:  1%) loss_emb: 0.0000  loss: 1.4457  loss_TTT: 0.0470  acc: 0.5896  lr: 0.0002 
ep/it:26- 141 niter: 10100  49m 5s (- 2743m 14s) completed:  1%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0475  acc: 0.5990  lr: 0.0002 
ep/it:26- 191 niter: 10150  49m 20s (- 2743m 6s) completed:  1%) loss_emb: 0.0000  loss: 1.4361  loss_TTT: 0.0492  acc: 0.5907  lr: 0.0002 
ep/it:26- 241 niter: 10200  49m 34s (- 2742m 44s) completed:  1%) loss_emb: 0.0000  loss: 1.4433  loss_TTT: 0.0481  acc: 0.5891  lr: 0.0002 
ep/it:26- 291 niter: 10250  49m 48s (- 2742m 13s) completed:  1%) loss_emb: 0.0000  loss: 1.4620  loss_TTT: 0.0500  acc: 0.5864  lr: 0.0002 
ep/it:26- 341 niter: 10300  50m 3s (- 2742m 10s) completed:  1%) loss_emb: 0.0000  loss: 1.4399  loss_TTT: 0.0480  acc: 0.5895  lr: 0.0002 
Validation time:
Validation loss:1.628, accuracy:0.560
ep/it:27-   8 niter: 10350  50m 20s (- 2744m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0468  acc: 0.5976  lr: 0.0002 
ep/it:27-  58 niter: 10400  50m 34s (- 2743m 15s) completed:  1%) loss_emb: 0.0000  loss: 1.4275  loss_TTT: 0.0477  acc: 0.5941  lr: 0.0002 
ep/it:27- 108 niter: 10450  50m 48s (- 2742m 39s) completed:  1%) loss_emb: 0.0000  loss: 1.4377  loss_TTT: 0.0503  acc: 0.5921  lr: 0.0002 
ep/it:27- 158 niter: 10500  51m 3s (- 2742m 8s) completed:  1%) loss_emb: 0.0000  loss: 1.4232  loss_TTT: 0.0468  acc: 0.5952  lr: 0.0002 
ep/it:27- 208 niter: 10550  51m 17s (- 2741m 48s) completed:  1%) loss_emb: 0.0000  loss: 1.4417  loss_TTT: 0.0475  acc: 0.5910  lr: 0.0002 
ep/it:27- 258 niter: 10600  51m 31s (- 2741m 20s) completed:  1%) loss_emb: 0.0000  loss: 1.4369  loss_TTT: 0.0499  acc: 0.5902  lr: 0.0002 
ep/it:27- 308 niter: 10650  51m 46s (- 2741m 3s) completed:  1%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0473  acc: 0.5942  lr: 0.0002 
ep/it:27- 358 niter: 10700  52m 0s (- 2740m 43s) completed:  1%) loss_emb: 0.0000  loss: 1.4482  loss_TTT: 0.0480  acc: 0.5883  lr: 0.0002 
Validation time:
Validation loss:1.627, accuracy:0.561
ep/it:28-  25 niter: 10750  52m 17s (- 2742m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4428  loss_TTT: 0.0486  acc: 0.5894  lr: 0.0002 
ep/it:28-  75 niter: 10800  52m 31s (- 2741m 32s) completed:  1%) loss_emb: 0.0000  loss: 1.4485  loss_TTT: 0.0498  acc: 0.5886  lr: 0.0002 
ep/it:28- 125 niter: 10850  52m 45s (- 2740m 31s) completed:  1%) loss_emb: 0.0000  loss: 1.4311  loss_TTT: 0.0453  acc: 0.5935  lr: 0.0002 
ep/it:28- 175 niter: 10900  52m 59s (- 2739m 50s) completed:  1%) loss_emb: 0.0000  loss: 1.4393  loss_TTT: 0.0473  acc: 0.5907  lr: 0.0002 
ep/it:28- 225 niter: 10950  53m 13s (- 2739m 9s) completed:  1%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0457  acc: 0.5992  lr: 0.0002 
ep/it:28- 275 niter: 11000  53m 27s (- 2738m 12s) completed:  1%) loss_emb: 0.0000  loss: 1.4128  loss_TTT: 0.0456  acc: 0.5970  lr: 0.0002 
ep/it:28- 325 niter: 11050  53m 42s (- 2738m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0490  acc: 0.5940  lr: 0.0002 
ep/it:28- 375 niter: 11100  53m 56s (- 2738m 6s) completed:  1%) loss_emb: 0.0000  loss: 1.4043  loss_TTT: 0.0447  acc: 0.5989  lr: 0.0002 
Validation time:
Validation loss:1.616, accuracy:0.564
ep/it:29-  42 niter: 11150  54m 13s (- 2740m 2s) completed:  1%) loss_emb: 0.0000  loss: 1.4388  loss_TTT: 0.0479  acc: 0.5896  lr: 0.0002 
ep/it:29-  92 niter: 11200  54m 28s (- 2739m 26s) completed:  1%) loss_emb: 0.0000  loss: 1.4516  loss_TTT: 0.0463  acc: 0.5876  lr: 0.0002 
ep/it:29- 142 niter: 11250  54m 42s (- 2739m 4s) completed:  1%) loss_emb: 0.0000  loss: 1.4468  loss_TTT: 0.0504  acc: 0.5893  lr: 0.0002 
ep/it:29- 192 niter: 11300  54m 56s (- 2738m 24s) completed:  1%) loss_emb: 0.0000  loss: 1.4454  loss_TTT: 0.0494  acc: 0.5897  lr: 0.0002 
ep/it:29- 242 niter: 11350  55m 10s (- 2737m 35s) completed:  1%) loss_emb: 0.0000  loss: 1.4365  loss_TTT: 0.0489  acc: 0.5916  lr: 0.0002 
ep/it:29- 292 niter: 11400  55m 24s (- 2736m 57s) completed:  1%) loss_emb: 0.0000  loss: 1.4103  loss_TTT: 0.0493  acc: 0.5992  lr: 0.0002 
ep/it:29- 342 niter: 11450  55m 38s (- 2736m 25s) completed:  1%) loss_emb: 0.0000  loss: 1.4168  loss_TTT: 0.0468  acc: 0.5952  lr: 0.0002 
Validation time:
Validation loss:1.628, accuracy:0.556
ep/it:30-   9 niter: 11500  55m 55s (- 2737m 38s) completed:  2%) loss_emb: 0.0000  loss: 1.4467  loss_TTT: 0.0490  acc: 0.5888  lr: 0.0002 
ep/it:30-  59 niter: 11550  56m 9s (- 2737m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0489  acc: 0.5860  lr: 0.0002 
ep/it:30- 109 niter: 11600  56m 24s (- 2737m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0454  acc: 0.5955  lr: 0.0002 
ep/it:30- 159 niter: 11650  56m 38s (- 2736m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4425  loss_TTT: 0.0480  acc: 0.5891  lr: 0.0002 
ep/it:30- 209 niter: 11700  56m 53s (- 2736m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0478  acc: 0.5986  lr: 0.0002 
ep/it:30- 259 niter: 11750  57m 8s (- 2736m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0424  acc: 0.5992  lr: 0.0002 
ep/it:30- 309 niter: 11800  57m 22s (- 2735m 46s) completed:  2%) loss_emb: 0.0000  loss: 1.4305  loss_TTT: 0.0502  acc: 0.5918  lr: 0.0002 
ep/it:30- 359 niter: 11850  57m 36s (- 2735m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4592  loss_TTT: 0.0483  acc: 0.5859  lr: 0.0002 
Validation time:
Validation loss:1.578, accuracy:0.573
ep/it:31-  26 niter: 11900  57m 53s (- 2736m 52s) completed:  2%) loss_emb: 0.0000  loss: 1.4231  loss_TTT: 0.0489  acc: 0.5947  lr: 0.0002 
ep/it:31-  76 niter: 11950  58m 7s (- 2736m 5s) completed:  2%) loss_emb: 0.0000  loss: 1.4237  loss_TTT: 0.0466  acc: 0.5946  lr: 0.0002 
ep/it:31- 126 niter: 12000  58m 21s (- 2735m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4259  loss_TTT: 0.0485  acc: 0.5944  lr: 0.0002 
ep/it:31- 176 niter: 12050  58m 35s (- 2734m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4408  loss_TTT: 0.0509  acc: 0.5915  lr: 0.0002 
ep/it:31- 226 niter: 12100  58m 48s (- 2733m 39s) completed:  2%) loss_emb: 0.0000  loss: 1.4408  loss_TTT: 0.0492  acc: 0.5896  lr: 0.0002 
ep/it:31- 276 niter: 12150  59m 2s (- 2732m 48s) completed:  2%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0459  acc: 0.5982  lr: 0.0002 
ep/it:31- 326 niter: 12200  59m 16s (- 2731m 57s) completed:  2%) loss_emb: 0.0000  loss: 1.3845  loss_TTT: 0.0441  acc: 0.6035  lr: 0.0002 
ep/it:31- 376 niter: 12250  59m 30s (- 2730m 58s) completed:  2%) loss_emb: 0.0000  loss: 1.4075  loss_TTT: 0.0482  acc: 0.5984  lr: 0.0002 
Validation time:
Validation loss:1.683, accuracy:0.553
ep/it:32-  43 niter: 12300  59m 47s (- 2732m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.4489  loss_TTT: 0.0542  acc: 0.5908  lr: 0.0002 
ep/it:32-  93 niter: 12350  60m 1s (- 2732m 18s) completed:  2%) loss_emb: 0.0000  loss: 1.4497  loss_TTT: 0.0455  acc: 0.5864  lr: 0.0002 
ep/it:32- 143 niter: 12400  60m 16s (- 2731m 58s) completed:  2%) loss_emb: 0.0000  loss: 1.4502  loss_TTT: 0.0505  acc: 0.5868  lr: 0.0002 
ep/it:32- 193 niter: 12450  60m 30s (- 2731m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.4123  loss_TTT: 0.0497  acc: 0.5967  lr: 0.0002 
ep/it:32- 243 niter: 12500  60m 44s (- 2730m 58s) completed:  2%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0449  acc: 0.6065  lr: 0.0002 
ep/it:32- 293 niter: 12550  60m 59s (- 2730m 44s) completed:  2%) loss_emb: 0.0000  loss: 1.4184  loss_TTT: 0.0464  acc: 0.5943  lr: 0.0002 
ep/it:32- 343 niter: 12600  61m 13s (- 2730m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4297  loss_TTT: 0.0456  acc: 0.5925  lr: 0.0002 
Validation time:
Validation loss:1.588, accuracy:0.568
ep/it:33-  10 niter: 12650  61m 30s (- 2731m 36s) completed:  2%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0463  acc: 0.6049  lr: 0.0002 
ep/it:33-  60 niter: 12700  61m 44s (- 2731m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4285  loss_TTT: 0.0474  acc: 0.5916  lr: 0.0002 
ep/it:33- 110 niter: 12750  61m 59s (- 2730m 59s) completed:  2%) loss_emb: 0.0000  loss: 1.4244  loss_TTT: 0.0448  acc: 0.5932  lr: 0.0002 
ep/it:33- 160 niter: 12800  62m 13s (- 2730m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.4188  loss_TTT: 0.0453  acc: 0.5941  lr: 0.0002 
ep/it:33- 210 niter: 12850  62m 27s (- 2730m 11s) completed:  2%) loss_emb: 0.0000  loss: 1.4148  loss_TTT: 0.0484  acc: 0.5970  lr: 0.0002 
ep/it:33- 260 niter: 12900  62m 42s (- 2729m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4505  loss_TTT: 0.0481  acc: 0.5860  lr: 0.0002 
ep/it:33- 310 niter: 12950  62m 56s (- 2729m 21s) completed:  2%) loss_emb: 0.0000  loss: 1.4320  loss_TTT: 0.0473  acc: 0.5917  lr: 0.0002 
ep/it:33- 360 niter: 13000  63m 11s (- 2729m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4217  loss_TTT: 0.0482  acc: 0.5944  lr: 0.0002 
Validation time:
Validation loss:1.572, accuracy:0.571
ep/it:34-  27 niter: 13050  63m 27s (- 2730m 29s) completed:  2%) loss_emb: 0.0000  loss: 1.4113  loss_TTT: 0.0466  acc: 0.5959  lr: 0.0002 
ep/it:34-  77 niter: 13100  63m 42s (- 2730m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4321  loss_TTT: 0.0459  acc: 0.5912  lr: 0.0002 
ep/it:34- 127 niter: 13150  63m 56s (- 2729m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.4131  loss_TTT: 0.0445  acc: 0.5965  lr: 0.0002 
ep/it:34- 177 niter: 13200  64m 10s (- 2729m 2s) completed:  2%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0469  acc: 0.5937  lr: 0.0002 
ep/it:34- 227 niter: 13250  64m 24s (- 2728m 33s) completed:  2%) loss_emb: 0.0000  loss: 1.4211  loss_TTT: 0.0456  acc: 0.5921  lr: 0.0002 
ep/it:34- 277 niter: 13300  64m 39s (- 2728m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.3985  loss_TTT: 0.0441  acc: 0.5991  lr: 0.0002 
ep/it:34- 327 niter: 13350  64m 53s (- 2727m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.4368  loss_TTT: 0.0473  acc: 0.5903  lr: 0.0002 
ep/it:34- 377 niter: 13400  65m 7s (- 2727m 0s) completed:  2%) loss_emb: 0.0000  loss: 1.4642  loss_TTT: 0.0516  acc: 0.5841  lr: 0.0002 
Validation time:
Validation loss:1.673, accuracy:0.546
ep/it:35-  44 niter: 13450  65m 25s (- 2728m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4271  loss_TTT: 0.0458  acc: 0.5924  lr: 0.0002 
ep/it:35-  94 niter: 13500  65m 39s (- 2728m 22s) completed:  2%) loss_emb: 0.0000  loss: 1.4262  loss_TTT: 0.0445  acc: 0.5931  lr: 0.0002 
ep/it:35- 144 niter: 13550  65m 53s (- 2728m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4028  loss_TTT: 0.0453  acc: 0.5991  lr: 0.0002 
ep/it:35- 194 niter: 13600  66m 8s (- 2727m 41s) completed:  2%) loss_emb: 0.0000  loss: 1.4162  loss_TTT: 0.0441  acc: 0.5949  lr: 0.0002 
ep/it:35- 244 niter: 13650  66m 22s (- 2727m 6s) completed:  2%) loss_emb: 0.0000  loss: 1.3951  loss_TTT: 0.0448  acc: 0.5992  lr: 0.0002 
ep/it:35- 294 niter: 13700  66m 36s (- 2726m 47s) completed:  2%) loss_emb: 0.0000  loss: 1.4228  loss_TTT: 0.0484  acc: 0.5945  lr: 0.0002 
ep/it:35- 344 niter: 13750  66m 51s (- 2726m 20s) completed:  2%) loss_emb: 0.0000  loss: 1.3990  loss_TTT: 0.0452  acc: 0.5978  lr: 0.0002 
Validation time:
Validation loss:1.615, accuracy:0.558
ep/it:36-  11 niter: 13800  67m 7s (- 2727m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0465  acc: 0.5978  lr: 0.0002 
ep/it:36-  61 niter: 13850  67m 22s (- 2727m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4277  loss_TTT: 0.0454  acc: 0.5914  lr: 0.0002 
ep/it:36- 111 niter: 13900  67m 37s (- 2727m 2s) completed:  2%) loss_emb: 0.0000  loss: 1.3966  loss_TTT: 0.0457  acc: 0.5995  lr: 0.0002 
ep/it:36- 161 niter: 13950  67m 51s (- 2726m 34s) completed:  2%) loss_emb: 0.0000  loss: 1.4145  loss_TTT: 0.0452  acc: 0.5955  lr: 0.0002 
ep/it:36- 211 niter: 14000  68m 5s (- 2726m 0s) completed:  2%) loss_emb: 0.0000  loss: 1.4308  loss_TTT: 0.0464  acc: 0.5903  lr: 0.0002 
ep/it:36- 261 niter: 14050  68m 20s (- 2725m 51s) completed:  2%) loss_emb: 0.0000  loss: 1.4204  loss_TTT: 0.0456  acc: 0.5947  lr: 0.0002 
ep/it:36- 311 niter: 14100  68m 34s (- 2725m 33s) completed:  2%) loss_emb: 0.0000  loss: 1.4278  loss_TTT: 0.0493  acc: 0.5927  lr: 0.0002 
ep/it:36- 361 niter: 14150  68m 48s (- 2725m 5s) completed:  2%) loss_emb: 0.0000  loss: 1.4087  loss_TTT: 0.0453  acc: 0.5971  lr: 0.0002 
Validation time:
Validation loss:1.589, accuracy:0.570
ep/it:37-  28 niter: 14200  69m 5s (- 2726m 15s) completed:  2%) loss_emb: 0.0000  loss: 1.4258  loss_TTT: 0.0467  acc: 0.5915  lr: 0.0002 
ep/it:37-  78 niter: 14250  69m 20s (- 2725m 57s) completed:  2%) loss_emb: 0.0000  loss: 1.4116  loss_TTT: 0.0447  acc: 0.5964  lr: 0.0002 
ep/it:37- 128 niter: 14300  69m 34s (- 2725m 32s) completed:  2%) loss_emb: 0.0000  loss: 1.3906  loss_TTT: 0.0463  acc: 0.6021  lr: 0.0002 
ep/it:37- 178 niter: 14350  69m 48s (- 2725m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4033  loss_TTT: 0.0447  acc: 0.5975  lr: 0.0002 
ep/it:37- 228 niter: 14400  70m 3s (- 2724m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.4057  loss_TTT: 0.0451  acc: 0.5984  lr: 0.0002 
ep/it:37- 278 niter: 14450  70m 17s (- 2724m 8s) completed:  2%) loss_emb: 0.0000  loss: 1.4150  loss_TTT: 0.0481  acc: 0.5946  lr: 0.0002 
ep/it:37- 328 niter: 14500  70m 31s (- 2723m 40s) completed:  2%) loss_emb: 0.0000  loss: 1.4042  loss_TTT: 0.0451  acc: 0.5967  lr: 0.0002 
ep/it:37- 378 niter: 14550  70m 45s (- 2723m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0477  acc: 0.5930  lr: 0.0002 
Validation time:
Validation loss:1.591, accuracy:0.566
ep/it:38-  45 niter: 14600  71m 2s (- 2724m 27s) completed:  2%) loss_emb: 0.0000  loss: 1.4093  loss_TTT: 0.0485  acc: 0.5980  lr: 0.0002 
ep/it:38-  95 niter: 14650  71m 16s (- 2723m 55s) completed:  2%) loss_emb: 0.0000  loss: 1.4174  loss_TTT: 0.0471  acc: 0.5947  lr: 0.0002 
ep/it:38- 145 niter: 14700  71m 30s (- 2723m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0469  acc: 0.5986  lr: 0.0002 
ep/it:38- 195 niter: 14750  71m 45s (- 2722m 51s) completed:  2%) loss_emb: 0.0000  loss: 1.4066  loss_TTT: 0.0443  acc: 0.5958  lr: 0.0002 
ep/it:38- 245 niter: 14800  71m 59s (- 2722m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.4106  loss_TTT: 0.0432  acc: 0.5962  lr: 0.0002 
ep/it:38- 295 niter: 14850  72m 13s (- 2721m 43s) completed:  2%) loss_emb: 0.0000  loss: 1.3916  loss_TTT: 0.0450  acc: 0.6021  lr: 0.0002 
ep/it:38- 345 niter: 14900  72m 27s (- 2721m 13s) completed:  2%) loss_emb: 0.0000  loss: 1.4238  loss_TTT: 0.0438  acc: 0.5930  lr: 0.0002 
Validation time:
Validation loss:1.648, accuracy:0.552
ep/it:39-  12 niter: 14950  72m 43s (- 2722m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.3901  loss_TTT: 0.0462  acc: 0.6010  lr: 0.0002 
ep/it:39-  62 niter: 15000  72m 57s (- 2721m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0438  acc: 0.5942  lr: 0.0002 
ep/it:39- 112 niter: 15050  73m 12s (- 2721m 19s) completed:  2%) loss_emb: 0.0000  loss: 1.4309  loss_TTT: 0.0427  acc: 0.5911  lr: 0.0002 
ep/it:39- 162 niter: 15100  73m 26s (- 2720m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0471  acc: 0.6082  lr: 0.0002 
ep/it:39- 212 niter: 15150  73m 40s (- 2720m 1s) completed:  2%) loss_emb: 0.0000  loss: 1.3989  loss_TTT: 0.0455  acc: 0.5990  lr: 0.0002 
ep/it:39- 262 niter: 15200  73m 54s (- 2719m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4080  loss_TTT: 0.0448  acc: 0.5969  lr: 0.0002 
ep/it:39- 312 niter: 15250  74m 8s (- 2718m 46s) completed:  2%) loss_emb: 0.0000  loss: 1.4141  loss_TTT: 0.0440  acc: 0.5945  lr: 0.0002 
ep/it:39- 362 niter: 15300  74m 22s (- 2718m 17s) completed:  2%) loss_emb: 0.0000  loss: 1.4253  loss_TTT: 0.0455  acc: 0.5922  lr: 0.0002 
Validation time:
Validation loss:1.561, accuracy:0.572
ep/it:40-  29 niter: 15350  74m 39s (- 2719m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.4360  loss_TTT: 0.0460  acc: 0.5900  lr: 0.0002 
ep/it:40-  79 niter: 15400  74m 54s (- 2719m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.4222  loss_TTT: 0.0458  acc: 0.5941  lr: 0.0002 
ep/it:40- 129 niter: 15450  75m 8s (- 2719m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.3889  loss_TTT: 0.0455  acc: 0.6021  lr: 0.0002 
ep/it:40- 179 niter: 15500  75m 23s (- 2718m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.4270  loss_TTT: 0.0461  acc: 0.5922  lr: 0.0002 
ep/it:40- 229 niter: 15550  75m 37s (- 2718m 33s) completed:  2%) loss_emb: 0.0000  loss: 1.3935  loss_TTT: 0.0451  acc: 0.6004  lr: 0.0002 
ep/it:40- 279 niter: 15600  75m 52s (- 2718m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4063  loss_TTT: 0.0445  acc: 0.5969  lr: 0.0002 
ep/it:40- 329 niter: 15650  76m 6s (- 2717m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.3987  loss_TTT: 0.0443  acc: 0.5982  lr: 0.0002 
ep/it:40- 379 niter: 15700  76m 20s (- 2717m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4202  loss_TTT: 0.0456  acc: 0.5925  lr: 0.0002 
Validation time:
Validation loss:1.564, accuracy:0.571
ep/it:41-  46 niter: 15750  76m 37s (- 2718m 16s) completed:  2%) loss_emb: 0.0000  loss: 1.3846  loss_TTT: 0.0440  acc: 0.6026  lr: 0.0002 
ep/it:41-  96 niter: 15800  76m 51s (- 2717m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.3900  loss_TTT: 0.0446  acc: 0.5998  lr: 0.0002 
ep/it:41- 146 niter: 15850  77m 5s (- 2716m 56s) completed:  2%) loss_emb: 0.0000  loss: 1.4240  loss_TTT: 0.0446  acc: 0.5921  lr: 0.0002 
ep/it:41- 196 niter: 15900  77m 19s (- 2716m 24s) completed:  2%) loss_emb: 0.0000  loss: 1.4230  loss_TTT: 0.0439  acc: 0.5924  lr: 0.0002 
ep/it:41- 246 niter: 15950  77m 33s (- 2715m 49s) completed:  2%) loss_emb: 0.0000  loss: 1.4417  loss_TTT: 0.0450  acc: 0.5866  lr: 0.0002 
ep/it:41- 296 niter: 16000  77m 47s (- 2715m 8s) completed:  2%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0447  acc: 0.6008  lr: 0.0002 
ep/it:41- 346 niter: 16050  78m 1s (- 2714m 58s) completed:  2%) loss_emb: 0.0000  loss: 1.3861  loss_TTT: 0.0459  acc: 0.6017  lr: 0.0002 
Validation time:
Validation loss:1.568, accuracy:0.568
ep/it:42-  13 niter: 16100  78m 18s (- 2716m 0s) completed:  2%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0440  acc: 0.6028  lr: 0.0002 
ep/it:42-  63 niter: 16150  78m 32s (- 2715m 26s) completed:  2%) loss_emb: 0.0000  loss: 1.4236  loss_TTT: 0.0444  acc: 0.5924  lr: 0.0002 
ep/it:42- 113 niter: 16200  78m 46s (- 2714m 48s) completed:  2%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0430  acc: 0.6078  lr: 0.0002 
ep/it:42- 163 niter: 16250  79m 0s (- 2714m 9s) completed:  2%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0439  acc: 0.5947  lr: 0.0002 
ep/it:42- 213 niter: 16300  79m 14s (- 2713m 44s) completed:  2%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0440  acc: 0.5969  lr: 0.0002 
ep/it:42- 263 niter: 16350  79m 28s (- 2713m 0s) completed:  2%) loss_emb: 0.0000  loss: 1.4081  loss_TTT: 0.0450  acc: 0.5958  lr: 0.0002 
ep/it:42- 313 niter: 16400  79m 42s (- 2712m 35s) completed:  2%) loss_emb: 0.0000  loss: 1.4105  loss_TTT: 0.0433  acc: 0.5952  lr: 0.0002 
ep/it:42- 363 niter: 16450  79m 56s (- 2712m 3s) completed:  2%) loss_emb: 0.0000  loss: 1.4139  loss_TTT: 0.0433  acc: 0.5934  lr: 0.0002 
Validation time:
Validation loss:1.626, accuracy:0.556
ep/it:43-  30 niter: 16500  80m 13s (- 2712m 50s) completed:  2%) loss_emb: 0.0000  loss: 1.4031  loss_TTT: 0.0470  acc: 0.5990  lr: 0.0002 
ep/it:43-  80 niter: 16550  80m 27s (- 2712m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0445  acc: 0.5986  lr: 0.0002 
ep/it:43- 130 niter: 16600  80m 41s (- 2712m 4s) completed:  2%) loss_emb: 0.0000  loss: 1.4165  loss_TTT: 0.0443  acc: 0.5924  lr: 0.0002 
ep/it:43- 180 niter: 16650  80m 55s (- 2711m 24s) completed:  2%) loss_emb: 0.0000  loss: 1.4138  loss_TTT: 0.0465  acc: 0.5956  lr: 0.0002 
ep/it:43- 230 niter: 16700  81m 9s (- 2711m 2s) completed:  2%) loss_emb: 0.0000  loss: 1.3745  loss_TTT: 0.0449  acc: 0.6040  lr: 0.0002 
ep/it:43- 280 niter: 16750  81m 24s (- 2710m 37s) completed:  2%) loss_emb: 0.0000  loss: 1.3885  loss_TTT: 0.0448  acc: 0.6008  lr: 0.0002 
ep/it:43- 330 niter: 16800  81m 38s (- 2710m 2s) completed:  2%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0463  acc: 0.6022  lr: 0.0002 
ep/it:43- 380 niter: 16850  81m 52s (- 2709m 30s) completed:  2%) loss_emb: 0.0000  loss: 1.3622  loss_TTT: 0.0444  acc: 0.6078  lr: 0.0002 
Validation time:
Validation loss:1.582, accuracy:0.569
ep/it:44-  47 niter: 16900  82m 9s (- 2710m 28s) completed:  2%) loss_emb: 0.0000  loss: 1.3937  loss_TTT: 0.0408  acc: 0.5998  lr: 0.0002 
ep/it:44-  97 niter: 16950  82m 23s (- 2709m 57s) completed:  2%) loss_emb: 0.0000  loss: 1.3870  loss_TTT: 0.0458  acc: 0.6018  lr: 0.0002 
ep/it:44- 147 niter: 17000  82m 37s (- 2709m 25s) completed:  2%) loss_emb: 0.0000  loss: 1.3917  loss_TTT: 0.0431  acc: 0.5995  lr: 0.0002 
ep/it:44- 197 niter: 17050  82m 51s (- 2709m 14s) completed:  2%) loss_emb: 0.0000  loss: 1.3914  loss_TTT: 0.0466  acc: 0.6000  lr: 0.0002 
ep/it:44- 247 niter: 17100  83m 5s (- 2708m 42s) completed:  2%) loss_emb: 0.0000  loss: 1.4365  loss_TTT: 0.0459  acc: 0.5901  lr: 0.0002 
ep/it:44- 297 niter: 17150  83m 20s (- 2708m 12s) completed:  2%) loss_emb: 0.0000  loss: 1.4272  loss_TTT: 0.0454  acc: 0.5910  lr: 0.0002 
ep/it:44- 347 niter: 17200  83m 34s (- 2707m 45s) completed:  2%) loss_emb: 0.0000  loss: 1.3634  loss_TTT: 0.0423  acc: 0.6068  lr: 0.0002 
Validation time:
Validation loss:1.608, accuracy:0.559
ep/it:45-  14 niter: 17250  83m 50s (- 2708m 41s) completed:  3%) loss_emb: 0.0000  loss: 1.4224  loss_TTT: 0.0467  acc: 0.5935  lr: 0.0002 
ep/it:45-  64 niter: 17300  84m 4s (- 2708m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.3876  loss_TTT: 0.0445  acc: 0.6013  lr: 0.0002 
ep/it:45- 114 niter: 17350  84m 19s (- 2707m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.4201  loss_TTT: 0.0455  acc: 0.5929  lr: 0.0002 
ep/it:45- 164 niter: 17400  84m 33s (- 2707m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0438  acc: 0.5991  lr: 0.0002 
ep/it:45- 214 niter: 17450  84m 47s (- 2706m 39s) completed:  3%) loss_emb: 0.0000  loss: 1.4189  loss_TTT: 0.0461  acc: 0.5935  lr: 0.0002 
ep/it:45- 264 niter: 17500  85m 1s (- 2706m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0484  acc: 0.6039  lr: 0.0002 
ep/it:45- 314 niter: 17550  85m 16s (- 2705m 56s) completed:  3%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0442  acc: 0.6053  lr: 0.0002 
ep/it:45- 364 niter: 17600  85m 29s (- 2705m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0435  acc: 0.6026  lr: 0.0002 
Validation time:
Validation loss:1.558, accuracy:0.572
ep/it:46-  31 niter: 17650  85m 46s (- 2706m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.4108  loss_TTT: 0.0452  acc: 0.5944  lr: 0.0002 
ep/it:46-  81 niter: 17700  86m 1s (- 2705m 55s) completed:  3%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0449  acc: 0.5937  lr: 0.0002 
ep/it:46- 131 niter: 17750  86m 14s (- 2705m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.4192  loss_TTT: 0.0440  acc: 0.5939  lr: 0.0002 
ep/it:46- 181 niter: 17800  86m 29s (- 2704m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.4084  loss_TTT: 0.0453  acc: 0.5968  lr: 0.0002 
ep/it:46- 231 niter: 17850  86m 43s (- 2704m 31s) completed:  3%) loss_emb: 0.0000  loss: 1.4251  loss_TTT: 0.0456  acc: 0.5921  lr: 0.0002 
ep/it:46- 281 niter: 17900  86m 58s (- 2704m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.4144  loss_TTT: 0.0478  acc: 0.5946  lr: 0.0002 
ep/it:46- 331 niter: 17950  87m 12s (- 2703m 51s) completed:  3%) loss_emb: 0.0000  loss: 1.3729  loss_TTT: 0.0456  acc: 0.6040  lr: 0.0002 
ep/it:46- 381 niter: 18000  87m 26s (- 2703m 10s) completed:  3%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0469  acc: 0.6020  lr: 0.0002 
Validation time:
Validation loss:1.558, accuracy:0.572
ep/it:47-  48 niter: 18050  87m 42s (- 2704m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.4147  loss_TTT: 0.0428  acc: 0.5937  lr: 0.0002 
ep/it:47-  98 niter: 18100  87m 57s (- 2703m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0471  acc: 0.6009  lr: 0.0002 
ep/it:47- 148 niter: 18150  88m 11s (- 2703m 14s) completed:  3%) loss_emb: 0.0000  loss: 1.3961  loss_TTT: 0.0450  acc: 0.5982  lr: 0.0002 
ep/it:47- 198 niter: 18200  88m 25s (- 2702m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.3794  loss_TTT: 0.0436  acc: 0.6038  lr: 0.0002 
ep/it:47- 248 niter: 18250  88m 39s (- 2702m 10s) completed:  3%) loss_emb: 0.0000  loss: 1.4239  loss_TTT: 0.0528  acc: 0.5939  lr: 0.0002 
ep/it:47- 298 niter: 18300  88m 53s (- 2701m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0449  acc: 0.6013  lr: 0.0002 
ep/it:47- 348 niter: 18350  89m 7s (- 2701m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.3924  loss_TTT: 0.0467  acc: 0.6010  lr: 0.0002 
Validation time:
Validation loss:1.615, accuracy:0.559
ep/it:48-  15 niter: 18400  89m 24s (- 2702m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4243  loss_TTT: 0.0468  acc: 0.5920  lr: 0.0002 
ep/it:48-  65 niter: 18450  89m 39s (- 2702m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.4100  loss_TTT: 0.0449  acc: 0.5958  lr: 0.0002 
ep/it:48- 115 niter: 18500  89m 53s (- 2701m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0430  acc: 0.6043  lr: 0.0002 
ep/it:48- 165 niter: 18550  90m 7s (- 2701m 8s) completed:  3%) loss_emb: 0.0000  loss: 1.4010  loss_TTT: 0.0458  acc: 0.5965  lr: 0.0002 
ep/it:48- 215 niter: 18600  90m 21s (- 2700m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.3670  loss_TTT: 0.0448  acc: 0.6058  lr: 0.0002 
ep/it:48- 265 niter: 18650  90m 35s (- 2700m 11s) completed:  3%) loss_emb: 0.0000  loss: 1.4061  loss_TTT: 0.0444  acc: 0.5956  lr: 0.0002 
ep/it:48- 315 niter: 18700  90m 49s (- 2699m 44s) completed:  3%) loss_emb: 0.0000  loss: 1.3835  loss_TTT: 0.0432  acc: 0.6009  lr: 0.0002 
ep/it:48- 365 niter: 18750  91m 4s (- 2699m 23s) completed:  3%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0445  acc: 0.5943  lr: 0.0002 
Validation time:
Validation loss:1.498, accuracy:0.588
Improved accuracy from 0.58 to 0.5881029134211333!!!
ep/it:49-  32 niter: 18800  91m 21s (- 2700m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0430  acc: 0.6082  lr: 0.0002 
ep/it:49-  82 niter: 18850  91m 35s (- 2700m 1s) completed:  3%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0435  acc: 0.6002  lr: 0.0002 
ep/it:49- 132 niter: 18900  91m 50s (- 2699m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.3662  loss_TTT: 0.0427  acc: 0.6069  lr: 0.0002 
ep/it:49- 182 niter: 18950  92m 5s (- 2699m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3928  loss_TTT: 0.0444  acc: 0.5992  lr: 0.0002 
ep/it:49- 232 niter: 19000  92m 19s (- 2699m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.4153  loss_TTT: 0.0461  acc: 0.5941  lr: 0.0002 
ep/it:49- 282 niter: 19050  92m 34s (- 2699m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.4006  loss_TTT: 0.0452  acc: 0.5976  lr: 0.0002 
ep/it:49- 332 niter: 19100  92m 48s (- 2698m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.3712  loss_TTT: 0.0421  acc: 0.6055  lr: 0.0002 
ep/it:49- 382 niter: 19150  93m 3s (- 2698m 27s) completed:  3%) loss_emb: 0.0000  loss: 1.3866  loss_TTT: 0.0435  acc: 0.6011  lr: 0.0002 
Validation time:
Validation loss:1.525, accuracy:0.582
ep/it:50-  49 niter: 19200  93m 20s (- 2699m 28s) completed:  3%) loss_emb: 0.0000  loss: 1.3847  loss_TTT: 0.0432  acc: 0.6020  lr: 0.0002 
ep/it:50-  99 niter: 19250  93m 34s (- 2699m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0433  acc: 0.6026  lr: 0.0002 
ep/it:50- 149 niter: 19300  93m 48s (- 2698m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0441  acc: 0.6037  lr: 0.0002 
ep/it:50- 199 niter: 19350  94m 3s (- 2698m 25s) completed:  3%) loss_emb: 0.0000  loss: 1.3926  loss_TTT: 0.0439  acc: 0.5991  lr: 0.0002 
ep/it:50- 249 niter: 19400  94m 17s (- 2698m 1s) completed:  3%) loss_emb: 0.0000  loss: 1.4183  loss_TTT: 0.0436  acc: 0.5914  lr: 0.0002 
ep/it:50- 299 niter: 19450  94m 31s (- 2697m 25s) completed:  3%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0435  acc: 0.6023  lr: 0.0002 
ep/it:50- 349 niter: 19500  94m 45s (- 2697m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0424  acc: 0.6029  lr: 0.0002 
Validation time:
Validation loss:1.583, accuracy:0.565
ep/it:51-  16 niter: 19550  95m 2s (- 2697m 57s) completed:  3%) loss_emb: 0.0000  loss: 1.3857  loss_TTT: 0.0470  acc: 0.6015  lr: 0.0002 
ep/it:51-  66 niter: 19600  95m 17s (- 2697m 37s) completed:  3%) loss_emb: 0.0000  loss: 1.3675  loss_TTT: 0.0461  acc: 0.6066  lr: 0.0002 
ep/it:51- 116 niter: 19650  95m 31s (- 2697m 18s) completed:  3%) loss_emb: 0.0000  loss: 1.3919  loss_TTT: 0.0448  acc: 0.5983  lr: 0.0002 
ep/it:51- 166 niter: 19700  95m 45s (- 2696m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.3858  loss_TTT: 0.0408  acc: 0.5999  lr: 0.0002 
ep/it:51- 216 niter: 19750  96m 0s (- 2696m 34s) completed:  3%) loss_emb: 0.0000  loss: 1.3825  loss_TTT: 0.0429  acc: 0.6018  lr: 0.0002 
ep/it:51- 266 niter: 19800  96m 14s (- 2696m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0425  acc: 0.6115  lr: 0.0002 
ep/it:51- 316 niter: 19850  96m 29s (- 2696m 3s) completed:  3%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0421  acc: 0.6015  lr: 0.0002 
ep/it:51- 366 niter: 19900  96m 43s (- 2695m 32s) completed:  3%) loss_emb: 0.0000  loss: 1.3832  loss_TTT: 0.0459  acc: 0.6017  lr: 0.0002 
Validation time:
Validation loss:1.568, accuracy:0.570
ep/it:52-  33 niter: 19950  96m 59s (- 2696m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0442  acc: 0.6006  lr: 0.0002 
ep/it:52-  83 niter: 20000  97m 14s (- 2695m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.3852  loss_TTT: 0.0429  acc: 0.6004  lr: 0.0002 
ep/it:52- 133 niter: 20050  97m 28s (- 2695m 44s) completed:  3%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0430  acc: 0.6026  lr: 0.0002 
ep/it:52- 183 niter: 20100  97m 42s (- 2695m 6s) completed:  3%) loss_emb: 0.0000  loss: 1.3640  loss_TTT: 0.0448  acc: 0.6072  lr: 0.0002 
ep/it:52- 233 niter: 20150  97m 56s (- 2694m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0402  acc: 0.6017  lr: 0.0002 
ep/it:52- 283 niter: 20200  98m 11s (- 2694m 20s) completed:  3%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0457  acc: 0.6021  lr: 0.0002 
ep/it:52- 333 niter: 20250  98m 25s (- 2693m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.3942  loss_TTT: 0.0435  acc: 0.5974  lr: 0.0002 
Validation time:
Validation loss:1.569, accuracy:0.569
ep/it:53-   0 niter: 20300  98m 41s (- 2694m 27s) completed:  3%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0410  acc: 0.6051  lr: 0.0002 
ep/it:53-  50 niter: 20350  98m 55s (- 2693m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0463  acc: 0.6025  lr: 0.0002 
ep/it:53- 100 niter: 20400  99m 9s (- 2693m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.3993  loss_TTT: 0.0467  acc: 0.5977  lr: 0.0002 
ep/it:53- 150 niter: 20450  99m 23s (- 2692m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.3645  loss_TTT: 0.0443  acc: 0.6070  lr: 0.0002 
ep/it:53- 200 niter: 20500  99m 37s (- 2692m 11s) completed:  3%) loss_emb: 0.0000  loss: 1.4060  loss_TTT: 0.0430  acc: 0.5955  lr: 0.0002 
ep/it:53- 250 niter: 20550  99m 51s (- 2691m 35s) completed:  3%) loss_emb: 0.0000  loss: 1.3826  loss_TTT: 0.0410  acc: 0.6018  lr: 0.0002 
ep/it:53- 300 niter: 20600  100m 4s (- 2691m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.3671  loss_TTT: 0.0461  acc: 0.6054  lr: 0.0002 
ep/it:53- 350 niter: 20650  100m 18s (- 2690m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0432  acc: 0.6063  lr: 0.0002 
Validation time:
Validation loss:1.556, accuracy:0.572
ep/it:54-  17 niter: 20700  100m 35s (- 2690m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.3726  loss_TTT: 0.0431  acc: 0.6029  lr: 0.0002 
ep/it:54-  67 niter: 20750  100m 49s (- 2690m 29s) completed:  3%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0418  acc: 0.5944  lr: 0.0002 
ep/it:54- 117 niter: 20800  101m 2s (- 2689m 57s) completed:  3%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0425  acc: 0.5991  lr: 0.0002 
ep/it:54- 167 niter: 20850  101m 16s (- 2689m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3837  loss_TTT: 0.0417  acc: 0.6008  lr: 0.0002 
ep/it:54- 217 niter: 20900  101m 30s (- 2688m 36s) completed:  3%) loss_emb: 0.0000  loss: 1.3772  loss_TTT: 0.0400  acc: 0.6023  lr: 0.0002 
ep/it:54- 267 niter: 20950  101m 43s (- 2687m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0449  acc: 0.6052  lr: 0.0002 
ep/it:54- 317 niter: 21000  101m 57s (- 2687m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.3969  loss_TTT: 0.0439  acc: 0.5970  lr: 0.0002 
ep/it:54- 367 niter: 21050  102m 11s (- 2686m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0428  acc: 0.6055  lr: 0.0002 
Validation time:
Validation loss:1.549, accuracy:0.575
ep/it:55-  34 niter: 21100  102m 28s (- 2687m 33s) completed:  3%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0411  acc: 0.6079  lr: 0.0002 
ep/it:55-  84 niter: 21150  102m 42s (- 2687m 0s) completed:  3%) loss_emb: 0.0000  loss: 1.3946  loss_TTT: 0.0425  acc: 0.5973  lr: 0.0002 
ep/it:55- 134 niter: 21200  102m 55s (- 2686m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.4027  loss_TTT: 0.0468  acc: 0.5955  lr: 0.0002 
ep/it:55- 184 niter: 21250  103m 10s (- 2686m 5s) completed:  3%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0413  acc: 0.6056  lr: 0.0002 
ep/it:55- 234 niter: 21300  103m 24s (- 2685m 39s) completed:  3%) loss_emb: 0.0000  loss: 1.3997  loss_TTT: 0.0437  acc: 0.5974  lr: 0.0002 
ep/it:55- 284 niter: 21350  103m 38s (- 2685m 13s) completed:  3%) loss_emb: 0.0000  loss: 1.4159  loss_TTT: 0.0459  acc: 0.5930  lr: 0.0002 
ep/it:55- 334 niter: 21400  103m 52s (- 2684m 50s) completed:  3%) loss_emb: 0.0000  loss: 1.3737  loss_TTT: 0.0434  acc: 0.6037  lr: 0.0002 
Validation time:
Validation loss:1.594, accuracy:0.563
ep/it:56-   1 niter: 21450  104m 9s (- 2685m 29s) completed:  3%) loss_emb: 0.0000  loss: 1.3686  loss_TTT: 0.0436  acc: 0.6031  lr: 0.0002 
ep/it:56-  51 niter: 21500  104m 23s (- 2684m 53s) completed:  3%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0443  acc: 0.6072  lr: 0.0002 
ep/it:56- 101 niter: 21550  104m 37s (- 2684m 38s) completed:  3%) loss_emb: 0.0000  loss: 1.3844  loss_TTT: 0.0428  acc: 0.6021  lr: 0.0002 
ep/it:56- 151 niter: 21600  104m 51s (- 2684m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3653  loss_TTT: 0.0413  acc: 0.6055  lr: 0.0002 
ep/it:56- 201 niter: 21650  105m 5s (- 2683m 43s) completed:  3%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0451  acc: 0.6048  lr: 0.0002 
ep/it:56- 251 niter: 21700  105m 19s (- 2683m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0433  acc: 0.6061  lr: 0.0002 
ep/it:56- 301 niter: 21750  105m 34s (- 2683m 3s) completed:  3%) loss_emb: 0.0000  loss: 1.3704  loss_TTT: 0.0425  acc: 0.6042  lr: 0.0002 
ep/it:56- 351 niter: 21800  105m 48s (- 2682m 26s) completed:  3%) loss_emb: 0.0000  loss: 1.3881  loss_TTT: 0.0423  acc: 0.5969  lr: 0.0002 
Validation time:
Validation loss:1.568, accuracy:0.566
ep/it:57-  18 niter: 21850  106m 4s (- 2682m 58s) completed:  3%) loss_emb: 0.0000  loss: 1.3836  loss_TTT: 0.0425  acc: 0.6006  lr: 0.0002 
ep/it:57-  68 niter: 21900  106m 18s (- 2682m 28s) completed:  3%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0442  acc: 0.6063  lr: 0.0002 
ep/it:57- 118 niter: 21950  106m 32s (- 2681m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.4015  loss_TTT: 0.0439  acc: 0.5956  lr: 0.0002 
ep/it:57- 168 niter: 22000  106m 45s (- 2681m 16s) completed:  3%) loss_emb: 0.0000  loss: 1.3674  loss_TTT: 0.0421  acc: 0.6055  lr: 0.0002 
ep/it:57- 218 niter: 22050  107m 0s (- 2680m 52s) completed:  3%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0444  acc: 0.6033  lr: 0.0002 
ep/it:57- 268 niter: 22100  107m 13s (- 2680m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.3711  loss_TTT: 0.0425  acc: 0.6041  lr: 0.0002 
ep/it:57- 318 niter: 22150  107m 27s (- 2679m 39s) completed:  3%) loss_emb: 0.0000  loss: 1.3816  loss_TTT: 0.0445  acc: 0.6025  lr: 0.0002 
ep/it:57- 368 niter: 22200  107m 41s (- 2679m 7s) completed:  3%) loss_emb: 0.0000  loss: 1.3877  loss_TTT: 0.0443  acc: 0.5993  lr: 0.0002 
Validation time:
Validation loss:1.520, accuracy:0.582
ep/it:58-  35 niter: 22250  107m 57s (- 2679m 42s) completed:  3%) loss_emb: 0.0000  loss: 1.3819  loss_TTT: 0.0429  acc: 0.6004  lr: 0.0002 
ep/it:58-  85 niter: 22300  108m 12s (- 2679m 29s) completed:  3%) loss_emb: 0.0000  loss: 1.3578  loss_TTT: 0.0422  acc: 0.6074  lr: 0.0002 
ep/it:58- 135 niter: 22350  108m 26s (- 2679m 9s) completed:  3%) loss_emb: 0.0000  loss: 1.4014  loss_TTT: 0.0435  acc: 0.5970  lr: 0.0002 
ep/it:58- 185 niter: 22400  108m 40s (- 2678m 34s) completed:  3%) loss_emb: 0.0000  loss: 1.3879  loss_TTT: 0.0452  acc: 0.5989  lr: 0.0002 
ep/it:58- 235 niter: 22450  108m 54s (- 2678m 12s) completed:  3%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0445  acc: 0.6028  lr: 0.0002 
ep/it:58- 285 niter: 22500  109m 9s (- 2677m 54s) completed:  3%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0425  acc: 0.6013  lr: 0.0002 
ep/it:58- 335 niter: 22550  109m 23s (- 2677m 41s) completed:  3%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0452  acc: 0.6011  lr: 0.0002 
Validation time:
Validation loss:1.509, accuracy:0.582
ep/it:59-   2 niter: 22600  109m 40s (- 2678m 11s) completed:  3%) loss_emb: 0.0000  loss: 1.3763  loss_TTT: 0.0434  acc: 0.6017  lr: 0.0002 
ep/it:59-  52 niter: 22650  109m 54s (- 2677m 48s) completed:  3%) loss_emb: 0.0000  loss: 1.3647  loss_TTT: 0.0436  acc: 0.6057  lr: 0.0002 
ep/it:59- 102 niter: 22700  110m 8s (- 2677m 19s) completed:  3%) loss_emb: 0.0000  loss: 1.3843  loss_TTT: 0.0405  acc: 0.6015  lr: 0.0002 
ep/it:59- 152 niter: 22750  110m 21s (- 2676m 36s) completed:  3%) loss_emb: 0.0000  loss: 1.3276  loss_TTT: 0.0415  acc: 0.6152  lr: 0.0002 
ep/it:59- 202 niter: 22800  110m 35s (- 2676m 1s) completed:  3%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0439  acc: 0.6035  lr: 0.0002 
ep/it:59- 252 niter: 22850  110m 49s (- 2675m 24s) completed:  3%) loss_emb: 0.0000  loss: 1.4016  loss_TTT: 0.0477  acc: 0.5992  lr: 0.0002 
ep/it:59- 302 niter: 22900  111m 2s (- 2674m 47s) completed:  3%) loss_emb: 0.0000  loss: 1.4098  loss_TTT: 0.0457  acc: 0.5948  lr: 0.0002 
ep/it:59- 352 niter: 22950  111m 16s (- 2674m 11s) completed:  3%) loss_emb: 0.0000  loss: 1.4186  loss_TTT: 0.0481  acc: 0.5935  lr: 0.0002 
Validation time:
Validation loss:1.535, accuracy:0.574
ep/it:60-  19 niter: 23000  111m 32s (- 2674m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.4067  loss_TTT: 0.0441  acc: 0.5961  lr: 0.0002 
ep/it:60-  69 niter: 23050  111m 46s (- 2674m 13s) completed:  4%) loss_emb: 0.0000  loss: 1.3938  loss_TTT: 0.0452  acc: 0.5987  lr: 0.0002 
ep/it:60- 119 niter: 23100  112m 0s (- 2673m 40s) completed:  4%) loss_emb: 0.0000  loss: 1.3964  loss_TTT: 0.0431  acc: 0.5962  lr: 0.0002 
ep/it:60- 169 niter: 23150  112m 14s (- 2673m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.4260  loss_TTT: 0.0465  acc: 0.5980  lr: 0.0002 
ep/it:60- 219 niter: 23200  112m 28s (- 2672m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.4589  loss_TTT: 0.0491  acc: 0.5887  lr: 0.0002 
ep/it:60- 269 niter: 23250  112m 42s (- 2672m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.4667  loss_TTT: 0.0472  acc: 0.5828  lr: 0.0002 
ep/it:60- 319 niter: 23300  112m 56s (- 2671m 44s) completed:  4%) loss_emb: 0.0000  loss: 1.4450  loss_TTT: 0.0459  acc: 0.5881  lr: 0.0002 
ep/it:60- 369 niter: 23350  113m 10s (- 2671m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.4122  loss_TTT: 0.0438  acc: 0.5946  lr: 0.0002 
Validation time:
Validation loss:1.564, accuracy:0.569
ep/it:61-  36 niter: 23400  113m 26s (- 2671m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.3958  loss_TTT: 0.0418  acc: 0.5980  lr: 0.0002 
ep/it:61-  86 niter: 23450  113m 40s (- 2671m 20s) completed:  4%) loss_emb: 0.0000  loss: 1.4182  loss_TTT: 0.0444  acc: 0.5927  lr: 0.0002 
ep/it:61- 136 niter: 23500  113m 54s (- 2670m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0433  acc: 0.6045  lr: 0.0002 
ep/it:61- 186 niter: 23550  114m 9s (- 2670m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0443  acc: 0.6004  lr: 0.0002 
ep/it:61- 236 niter: 23600  114m 23s (- 2670m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3878  loss_TTT: 0.0431  acc: 0.6007  lr: 0.0002 
ep/it:61- 286 niter: 23650  114m 37s (- 2669m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.4055  loss_TTT: 0.0450  acc: 0.5957  lr: 0.0002 
ep/it:61- 336 niter: 23700  114m 51s (- 2669m 25s) completed:  4%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0411  acc: 0.6006  lr: 0.0002 
Validation time:
Validation loss:1.573, accuracy:0.567
ep/it:62-   3 niter: 23750  115m 8s (- 2669m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.4019  loss_TTT: 0.0451  acc: 0.5980  lr: 0.0002 
ep/it:62-  53 niter: 23800  115m 22s (- 2669m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4002  loss_TTT: 0.0480  acc: 0.5987  lr: 0.0002 
ep/it:62- 103 niter: 23850  115m 36s (- 2669m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0478  acc: 0.6001  lr: 0.0002 
ep/it:62- 153 niter: 23900  115m 50s (- 2668m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0425  acc: 0.6012  lr: 0.0002 
ep/it:62- 203 niter: 23950  116m 4s (- 2668m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.3959  loss_TTT: 0.0482  acc: 0.5967  lr: 0.0002 
ep/it:62- 253 niter: 24000  116m 18s (- 2667m 51s) completed:  4%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0443  acc: 0.6000  lr: 0.0002 
ep/it:62- 303 niter: 24050  116m 33s (- 2667m 34s) completed:  4%) loss_emb: 0.0000  loss: 1.4411  loss_TTT: 0.0447  acc: 0.5873  lr: 0.0002 
ep/it:62- 353 niter: 24100  116m 46s (- 2667m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.3947  loss_TTT: 0.0448  acc: 0.6002  lr: 0.0002 
Validation time:
Validation loss:1.613, accuracy:0.558
ep/it:63-  20 niter: 24150  117m 3s (- 2667m 46s) completed:  4%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0462  acc: 0.6049  lr: 0.0002 
ep/it:63-  70 niter: 24200  117m 18s (- 2667m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0432  acc: 0.5944  lr: 0.0002 
ep/it:63- 120 niter: 24250  117m 33s (- 2667m 23s) completed:  4%) loss_emb: 0.0000  loss: 1.3848  loss_TTT: 0.0435  acc: 0.6004  lr: 0.0002 
ep/it:63- 170 niter: 24300  117m 47s (- 2667m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0448  acc: 0.5978  lr: 0.0002 
ep/it:63- 220 niter: 24350  118m 1s (- 2666m 40s) completed:  4%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0422  acc: 0.6086  lr: 0.0002 
ep/it:63- 270 niter: 24400  118m 15s (- 2666m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0431  acc: 0.6022  lr: 0.0002 
ep/it:63- 320 niter: 24450  118m 29s (- 2665m 47s) completed:  4%) loss_emb: 0.0000  loss: 1.3824  loss_TTT: 0.0436  acc: 0.6021  lr: 0.0002 
ep/it:63- 370 niter: 24500  118m 43s (- 2665m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0423  acc: 0.5991  lr: 0.0002 
Validation time:
Validation loss:1.551, accuracy:0.571
ep/it:64-  37 niter: 24550  119m 1s (- 2666m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.3798  loss_TTT: 0.0420  acc: 0.6029  lr: 0.0002 
ep/it:64-  87 niter: 24600  119m 15s (- 2665m 52s) completed:  4%) loss_emb: 0.0000  loss: 1.3984  loss_TTT: 0.0427  acc: 0.5961  lr: 0.0002 
ep/it:64- 137 niter: 24650  119m 29s (- 2665m 31s) completed:  4%) loss_emb: 0.0000  loss: 1.3933  loss_TTT: 0.0465  acc: 0.5983  lr: 0.0002 
ep/it:64- 187 niter: 24700  119m 44s (- 2665m 9s) completed:  4%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0424  acc: 0.5968  lr: 0.0002 
ep/it:64- 237 niter: 24750  119m 57s (- 2664m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0433  acc: 0.6003  lr: 0.0002 
ep/it:64- 287 niter: 24800  120m 12s (- 2664m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0423  acc: 0.5988  lr: 0.0002 
ep/it:64- 337 niter: 24850  120m 27s (- 2664m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3623  loss_TTT: 0.0415  acc: 0.6070  lr: 0.0002 
Validation time:
Validation loss:1.562, accuracy:0.569
ep/it:65-   4 niter: 24900  120m 43s (- 2664m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.4003  loss_TTT: 0.0442  acc: 0.5961  lr: 0.0002 
ep/it:65-  54 niter: 24950  120m 57s (- 2664m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3862  loss_TTT: 0.0427  acc: 0.6002  lr: 0.0002 
ep/it:65- 104 niter: 25000  121m 11s (- 2663m 45s) completed:  4%) loss_emb: 0.0000  loss: 1.3823  loss_TTT: 0.0438  acc: 0.6003  lr: 0.0002 
ep/it:65- 154 niter: 25050  121m 25s (- 2663m 11s) completed:  4%) loss_emb: 0.0000  loss: 1.3981  loss_TTT: 0.0439  acc: 0.5979  lr: 0.0002 
ep/it:65- 204 niter: 25100  121m 38s (- 2662m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.4025  loss_TTT: 0.0425  acc: 0.5957  lr: 0.0002 
ep/it:65- 254 niter: 25150  121m 52s (- 2662m 2s) completed:  4%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0448  acc: 0.6048  lr: 0.0002 
ep/it:65- 304 niter: 25200  122m 5s (- 2661m 22s) completed:  4%) loss_emb: 0.0000  loss: 1.4071  loss_TTT: 0.0436  acc: 0.5945  lr: 0.0002 
ep/it:65- 354 niter: 25250  122m 19s (- 2660m 44s) completed:  4%) loss_emb: 0.0000  loss: 1.3842  loss_TTT: 0.0434  acc: 0.5997  lr: 0.0002 
Validation time:
Validation loss:1.538, accuracy:0.577
ep/it:66-  21 niter: 25300  122m 35s (- 2661m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.3781  loss_TTT: 0.0413  acc: 0.6011  lr: 0.0002 
ep/it:66-  71 niter: 25350  122m 49s (- 2660m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3797  loss_TTT: 0.0415  acc: 0.6016  lr: 0.0002 
ep/it:66- 121 niter: 25400  123m 3s (- 2660m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0447  acc: 0.6056  lr: 0.0002 
ep/it:66- 171 niter: 25450  123m 18s (- 2660m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.4024  loss_TTT: 0.0433  acc: 0.5959  lr: 0.0002 
ep/it:66- 221 niter: 25500  123m 32s (- 2659m 47s) completed:  4%) loss_emb: 0.0000  loss: 1.3982  loss_TTT: 0.0449  acc: 0.5979  lr: 0.0002 
ep/it:66- 271 niter: 25550  123m 46s (- 2659m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.3884  loss_TTT: 0.0434  acc: 0.6006  lr: 0.0002 
ep/it:66- 321 niter: 25600  124m 0s (- 2659m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0412  acc: 0.6054  lr: 0.0002 
ep/it:66- 371 niter: 25650  124m 15s (- 2658m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.3856  loss_TTT: 0.0446  acc: 0.6007  lr: 0.0002 
Validation time:
Validation loss:1.550, accuracy:0.572
ep/it:67-  38 niter: 25700  124m 31s (- 2659m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3691  loss_TTT: 0.0412  acc: 0.6039  lr: 0.0002 
ep/it:67-  88 niter: 25750  124m 46s (- 2658m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.3834  loss_TTT: 0.0422  acc: 0.6022  lr: 0.0002 
ep/it:67- 138 niter: 25800  125m 0s (- 2658m 39s) completed:  4%) loss_emb: 0.0000  loss: 1.3744  loss_TTT: 0.0405  acc: 0.6016  lr: 0.0002 
ep/it:67- 188 niter: 25850  125m 14s (- 2658m 18s) completed:  4%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0442  acc: 0.6033  lr: 0.0002 
ep/it:67- 238 niter: 25900  125m 29s (- 2658m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0420  acc: 0.6087  lr: 0.0002 
ep/it:67- 288 niter: 25950  125m 43s (- 2657m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.3643  loss_TTT: 0.0416  acc: 0.6066  lr: 0.0002 
ep/it:67- 338 niter: 26000  125m 57s (- 2657m 19s) completed:  4%) loss_emb: 0.0000  loss: 1.3820  loss_TTT: 0.0422  acc: 0.5994  lr: 0.0002 
Validation time:
Validation loss:1.548, accuracy:0.574
ep/it:68-   5 niter: 26050  126m 14s (- 2658m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.3758  loss_TTT: 0.0452  acc: 0.6023  lr: 0.0002 
ep/it:68-  55 niter: 26100  126m 28s (- 2657m 31s) completed:  4%) loss_emb: 0.0000  loss: 1.3593  loss_TTT: 0.0419  acc: 0.6065  lr: 0.0002 
ep/it:68- 105 niter: 26150  126m 42s (- 2656m 58s) completed:  4%) loss_emb: 0.0000  loss: 1.3943  loss_TTT: 0.0471  acc: 0.5981  lr: 0.0002 
ep/it:68- 155 niter: 26200  126m 56s (- 2656m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0439  acc: 0.6037  lr: 0.0002 
ep/it:68- 205 niter: 26250  127m 9s (- 2655m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3584  loss_TTT: 0.0427  acc: 0.6082  lr: 0.0002 
ep/it:68- 255 niter: 26300  127m 23s (- 2655m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.4037  loss_TTT: 0.0460  acc: 0.5968  lr: 0.0002 
ep/it:68- 305 niter: 26350  127m 36s (- 2654m 42s) completed:  4%) loss_emb: 0.0000  loss: 1.3719  loss_TTT: 0.0434  acc: 0.6041  lr: 0.0002 
ep/it:68- 355 niter: 26400  127m 50s (- 2654m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.3688  loss_TTT: 0.0399  acc: 0.6034  lr: 0.0002 
Validation time:
Validation loss:1.508, accuracy:0.582
ep/it:69-  22 niter: 26450  128m 6s (- 2654m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.3788  loss_TTT: 0.0420  acc: 0.6020  lr: 0.0002 
ep/it:69-  72 niter: 26500  128m 20s (- 2654m 6s) completed:  4%) loss_emb: 0.0000  loss: 1.3695  loss_TTT: 0.0438  acc: 0.6041  lr: 0.0002 
ep/it:69- 122 niter: 26550  128m 35s (- 2653m 52s) completed:  4%) loss_emb: 0.0000  loss: 1.3882  loss_TTT: 0.0435  acc: 0.6006  lr: 0.0002 
ep/it:69- 172 niter: 26600  128m 49s (- 2653m 28s) completed:  4%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0438  acc: 0.6074  lr: 0.0002 
ep/it:69- 222 niter: 26650  129m 3s (- 2653m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.4011  loss_TTT: 0.0425  acc: 0.5967  lr: 0.0002 
ep/it:69- 272 niter: 26700  129m 17s (- 2652m 41s) completed:  4%) loss_emb: 0.0000  loss: 1.3618  loss_TTT: 0.0421  acc: 0.6071  lr: 0.0002 
ep/it:69- 322 niter: 26750  129m 31s (- 2652m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0429  acc: 0.6090  lr: 0.0002 
ep/it:69- 372 niter: 26800  129m 45s (- 2651m 47s) completed:  4%) loss_emb: 0.0000  loss: 1.3673  loss_TTT: 0.0418  acc: 0.6047  lr: 0.0002 
Validation time:
Validation loss:1.554, accuracy:0.572
ep/it:70-  39 niter: 26850  130m 2s (- 2652m 16s) completed:  4%) loss_emb: 0.0000  loss: 1.3840  loss_TTT: 0.0436  acc: 0.6002  lr: 0.0002 
ep/it:70-  89 niter: 26900  130m 16s (- 2651m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0460  acc: 0.6002  lr: 0.0002 
ep/it:70- 139 niter: 26950  130m 30s (- 2651m 25s) completed:  4%) loss_emb: 0.0000  loss: 1.3720  loss_TTT: 0.0442  acc: 0.6037  lr: 0.0002 
ep/it:70- 189 niter: 27000  130m 44s (- 2651m 1s) completed:  4%) loss_emb: 0.0000  loss: 1.3850  loss_TTT: 0.0425  acc: 0.6011  lr: 0.0002 
ep/it:70- 239 niter: 27050  130m 58s (- 2650m 44s) completed:  4%) loss_emb: 0.0000  loss: 1.3716  loss_TTT: 0.0442  acc: 0.6028  lr: 0.0002 
ep/it:70- 289 niter: 27100  131m 12s (- 2650m 20s) completed:  4%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0413  acc: 0.6029  lr: 0.0002 
ep/it:70- 339 niter: 27150  131m 26s (- 2649m 57s) completed:  4%) loss_emb: 0.0000  loss: 1.3583  loss_TTT: 0.0418  acc: 0.6073  lr: 0.0002 
Validation time:
Validation loss:1.582, accuracy:0.566
ep/it:71-   6 niter: 27200  131m 43s (- 2650m 24s) completed:  4%) loss_emb: 0.0000  loss: 1.3445  loss_TTT: 0.0431  acc: 0.6101  lr: 0.0002 
ep/it:71-  56 niter: 27250  131m 57s (- 2650m 0s) completed:  4%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0397  acc: 0.6082  lr: 0.0002 
ep/it:71- 106 niter: 27300  132m 11s (- 2649m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.3533  loss_TTT: 0.0422  acc: 0.6071  lr: 0.0002 
ep/it:71- 156 niter: 27350  132m 25s (- 2649m 15s) completed:  4%) loss_emb: 0.0000  loss: 1.3815  loss_TTT: 0.0457  acc: 0.6021  lr: 0.0002 
ep/it:71- 206 niter: 27400  132m 40s (- 2649m 2s) completed:  4%) loss_emb: 0.0000  loss: 1.3760  loss_TTT: 0.0445  acc: 0.6034  lr: 0.0002 
ep/it:71- 256 niter: 27450  132m 54s (- 2648m 49s) completed:  4%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0413  acc: 0.6016  lr: 0.0002 
ep/it:71- 306 niter: 27500  133m 8s (- 2648m 26s) completed:  4%) loss_emb: 0.0000  loss: 1.4134  loss_TTT: 0.0439  acc: 0.5930  lr: 0.0002 
ep/it:71- 356 niter: 27550  133m 23s (- 2648m 8s) completed:  4%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0394  acc: 0.6059  lr: 0.0002 
Validation time:
Validation loss:1.488, accuracy:0.588
Improved accuracy from 0.59 to 0.5881652158239613!!!
ep/it:72-  23 niter: 27600  133m 40s (- 2648m 38s) completed:  4%) loss_emb: 0.0000  loss: 1.3839  loss_TTT: 0.0425  acc: 0.6001  lr: 0.0002 
ep/it:72-  73 niter: 27650  133m 54s (- 2648m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.3588  loss_TTT: 0.0430  acc: 0.6057  lr: 0.0002 
ep/it:72- 123 niter: 27700  134m 8s (- 2648m 3s) completed:  4%) loss_emb: 0.0000  loss: 1.3739  loss_TTT: 0.0431  acc: 0.6030  lr: 0.0002 
ep/it:72- 173 niter: 27750  134m 22s (- 2647m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.4035  loss_TTT: 0.0415  acc: 0.5946  lr: 0.0002 
ep/it:72- 223 niter: 27800  134m 37s (- 2647m 22s) completed:  4%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0423  acc: 0.6024  lr: 0.0002 
ep/it:72- 273 niter: 27850  134m 51s (- 2647m 4s) completed:  4%) loss_emb: 0.0000  loss: 1.3317  loss_TTT: 0.0416  acc: 0.6148  lr: 0.0002 
ep/it:72- 323 niter: 27900  135m 5s (- 2646m 46s) completed:  4%) loss_emb: 0.0000  loss: 1.4109  loss_TTT: 0.0422  acc: 0.5922  lr: 0.0002 
ep/it:72- 373 niter: 27950  135m 19s (- 2646m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.3722  loss_TTT: 0.0405  acc: 0.6035  lr: 0.0002 
Validation time:
Validation loss:1.554, accuracy:0.571
ep/it:73-  40 niter: 28000  135m 36s (- 2646m 53s) completed:  4%) loss_emb: 0.0000  loss: 1.3805  loss_TTT: 0.0426  acc: 0.6015  lr: 0.0002 
ep/it:73-  90 niter: 28050  135m 52s (- 2646m 53s) completed:  4%) loss_emb: 0.0000  loss: 1.3785  loss_TTT: 0.0418  acc: 0.6006  lr: 0.0002 
ep/it:73- 140 niter: 28100  136m 6s (- 2646m 37s) completed:  4%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0419  acc: 0.6113  lr: 0.0002 
ep/it:73- 190 niter: 28150  136m 20s (- 2646m 20s) completed:  4%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0417  acc: 0.6037  lr: 0.0002 
ep/it:73- 240 niter: 28200  136m 34s (- 2645m 55s) completed:  4%) loss_emb: 0.0000  loss: 1.3489  loss_TTT: 0.0424  acc: 0.6092  lr: 0.0002 
ep/it:73- 290 niter: 28250  136m 49s (- 2645m 36s) completed:  4%) loss_emb: 0.0000  loss: 1.3731  loss_TTT: 0.0417  acc: 0.6037  lr: 0.0002 
ep/it:73- 340 niter: 28300  137m 3s (- 2645m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0412  acc: 0.6094  lr: 0.0002 
Validation time:
Validation loss:1.526, accuracy:0.580
ep/it:74-   7 niter: 28350  137m 20s (- 2645m 40s) completed:  4%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0439  acc: 0.6039  lr: 0.0002 
ep/it:74-  57 niter: 28400  137m 34s (- 2645m 17s) completed:  4%) loss_emb: 0.0000  loss: 1.3979  loss_TTT: 0.0462  acc: 0.5979  lr: 0.0002 
ep/it:74- 107 niter: 28450  137m 48s (- 2644m 56s) completed:  4%) loss_emb: 0.0000  loss: 1.4074  loss_TTT: 0.0432  acc: 0.5941  lr: 0.0002 
ep/it:74- 157 niter: 28500  138m 2s (- 2644m 31s) completed:  4%) loss_emb: 0.0000  loss: 1.3665  loss_TTT: 0.0387  acc: 0.6036  lr: 0.0002 
ep/it:74- 207 niter: 28550  138m 16s (- 2644m 10s) completed:  4%) loss_emb: 0.0000  loss: 1.3316  loss_TTT: 0.0434  acc: 0.6142  lr: 0.0002 
ep/it:74- 257 niter: 28600  138m 30s (- 2643m 48s) completed:  4%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0402  acc: 0.6058  lr: 0.0002 
ep/it:74- 307 niter: 28650  138m 44s (- 2643m 21s) completed:  4%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0442  acc: 0.6066  lr: 0.0002 
ep/it:74- 357 niter: 28700  138m 58s (- 2642m 54s) completed:  4%) loss_emb: 0.0000  loss: 1.3481  loss_TTT: 0.0409  acc: 0.6092  lr: 0.0002 
Validation time:
Validation loss:1.573, accuracy:0.567
ep/it:75-  24 niter: 28750  139m 15s (- 2643m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.3851  loss_TTT: 0.0471  acc: 0.6004  lr: 0.0002 
ep/it:75-  74 niter: 28800  139m 29s (- 2643m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.3617  loss_TTT: 0.0417  acc: 0.6053  lr: 0.0002 
ep/it:75- 124 niter: 28850  139m 43s (- 2642m 39s) completed:  5%) loss_emb: 0.0000  loss: 1.3827  loss_TTT: 0.0429  acc: 0.6006  lr: 0.0002 
ep/it:75- 174 niter: 28900  139m 57s (- 2642m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.3755  loss_TTT: 0.0431  acc: 0.6027  lr: 0.0002 
ep/it:75- 224 niter: 28950  140m 11s (- 2641m 59s) completed:  5%) loss_emb: 0.0000  loss: 1.3814  loss_TTT: 0.0457  acc: 0.6016  lr: 0.0002 
ep/it:75- 274 niter: 29000  140m 25s (- 2641m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.3557  loss_TTT: 0.0422  acc: 0.6071  lr: 0.0002 
ep/it:75- 324 niter: 29050  140m 40s (- 2641m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.3677  loss_TTT: 0.0431  acc: 0.6043  lr: 0.0002 
ep/it:75- 374 niter: 29100  140m 55s (- 2641m 16s) completed:  5%) loss_emb: 0.0000  loss: 1.3930  loss_TTT: 0.0458  acc: 0.5984  lr: 0.0002 
Validation time:
Validation loss:1.523, accuracy:0.579
ep/it:76-  41 niter: 29150  141m 12s (- 2641m 40s) completed:  5%) loss_emb: 0.0000  loss: 1.3796  loss_TTT: 0.0430  acc: 0.6013  lr: 0.0002 
ep/it:76-  91 niter: 29200  141m 26s (- 2641m 29s) completed:  5%) loss_emb: 0.0000  loss: 1.3948  loss_TTT: 0.0429  acc: 0.5959  lr: 0.0002 
ep/it:76- 141 niter: 29250  141m 41s (- 2641m 8s) completed:  5%) loss_emb: 0.0000  loss: 1.3727  loss_TTT: 0.0401  acc: 0.6023  lr: 0.0002 
ep/it:76- 191 niter: 29300  141m 54s (- 2640m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.3501  loss_TTT: 0.0407  acc: 0.6076  lr: 0.0002 
ep/it:76- 241 niter: 29350  142m 9s (- 2640m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0430  acc: 0.6052  lr: 0.0002 
ep/it:76- 291 niter: 29400  142m 23s (- 2639m 56s) completed:  5%) loss_emb: 0.0000  loss: 1.3849  loss_TTT: 0.0413  acc: 0.5990  lr: 0.0002 
ep/it:76- 341 niter: 29450  142m 37s (- 2639m 31s) completed:  5%) loss_emb: 0.0000  loss: 1.3655  loss_TTT: 0.0405  acc: 0.6055  lr: 0.0002 
Validation time:
Validation loss:1.487, accuracy:0.586
ep/it:77-   8 niter: 29500  142m 53s (- 2639m 58s) completed:  5%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0395  acc: 0.6093  lr: 0.0002 
ep/it:77-  58 niter: 29550  143m 8s (- 2639m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.3699  loss_TTT: 0.0426  acc: 0.6040  lr: 0.0002 
ep/it:77- 108 niter: 29600  143m 22s (- 2639m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.3626  loss_TTT: 0.0429  acc: 0.6052  lr: 0.0002 
ep/it:77- 158 niter: 29650  143m 37s (- 2639m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.3867  loss_TTT: 0.0426  acc: 0.5990  lr: 0.0002 
ep/it:77- 208 niter: 29700  143m 51s (- 2638m 50s) completed:  5%) loss_emb: 0.0000  loss: 1.3952  loss_TTT: 0.0417  acc: 0.5969  lr: 0.0002 
ep/it:77- 258 niter: 29750  144m 5s (- 2638m 27s) completed:  5%) loss_emb: 0.0000  loss: 1.3692  loss_TTT: 0.0406  acc: 0.6024  lr: 0.0002 
ep/it:77- 308 niter: 29800  144m 19s (- 2638m 3s) completed:  5%) loss_emb: 0.0000  loss: 1.3592  loss_TTT: 0.0412  acc: 0.6068  lr: 0.0002 
ep/it:77- 358 niter: 29850  144m 33s (- 2637m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0417  acc: 0.6037  lr: 0.0002 
Validation time:
Validation loss:1.541, accuracy:0.573
ep/it:78-  25 niter: 29900  144m 50s (- 2638m 14s) completed:  5%) loss_emb: 0.0000  loss: 1.3559  loss_TTT: 0.0422  acc: 0.6076  lr: 0.0002 
ep/it:78-  75 niter: 29950  145m 4s (- 2637m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0420  acc: 0.6065  lr: 0.0002 
ep/it:78- 125 niter: 30000  145m 19s (- 2637m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3807  loss_TTT: 0.0422  acc: 0.6006  lr: 0.0002 
ep/it:78- 175 niter: 30050  145m 33s (- 2637m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.3789  loss_TTT: 0.0398  acc: 0.6001  lr: 0.0002 
ep/it:78- 225 niter: 30100  145m 47s (- 2636m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.3519  loss_TTT: 0.0410  acc: 0.6080  lr: 0.0002 
ep/it:78- 275 niter: 30150  146m 2s (- 2636m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.3637  loss_TTT: 0.0421  acc: 0.6039  lr: 0.0002 
ep/it:78- 325 niter: 30200  146m 16s (- 2636m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.3398  loss_TTT: 0.0405  acc: 0.6112  lr: 0.0002 
ep/it:78- 375 niter: 30250  146m 30s (- 2636m 2s) completed:  5%) loss_emb: 0.0000  loss: 1.3613  loss_TTT: 0.0429  acc: 0.6062  lr: 0.0002 
Validation time:
Validation loss:1.492, accuracy:0.588
ep/it:79-  42 niter: 30300  146m 47s (- 2636m 28s) completed:  5%) loss_emb: 0.0000  loss: 1.3955  loss_TTT: 0.0446  acc: 0.5972  lr: 0.0002 
ep/it:79-  92 niter: 30350  147m 1s (- 2636m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.3732  loss_TTT: 0.0449  acc: 0.6036  lr: 0.0002 
ep/it:79- 142 niter: 30400  147m 15s (- 2635m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.3455  loss_TTT: 0.0436  acc: 0.6101  lr: 0.0002 
ep/it:79- 192 niter: 30450  147m 29s (- 2635m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.3831  loss_TTT: 0.0432  acc: 0.5998  lr: 0.0002 
ep/it:79- 242 niter: 30500  147m 44s (- 2635m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3922  loss_TTT: 0.0395  acc: 0.5972  lr: 0.0002 
ep/it:79- 292 niter: 30550  147m 58s (- 2634m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0400  acc: 0.6042  lr: 0.0002 
ep/it:79- 342 niter: 30600  148m 12s (- 2634m 23s) completed:  5%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0425  acc: 0.6062  lr: 0.0002 
Validation time:
Validation loss:1.533, accuracy:0.576
ep/it:80-   9 niter: 30650  148m 29s (- 2634m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.3478  loss_TTT: 0.0415  acc: 0.6084  lr: 0.0002 
ep/it:80-  59 niter: 30700  148m 43s (- 2634m 26s) completed:  5%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0407  acc: 0.6081  lr: 0.0002 
ep/it:80- 109 niter: 30750  148m 57s (- 2634m 0s) completed:  5%) loss_emb: 0.0000  loss: 1.3897  loss_TTT: 0.0429  acc: 0.5986  lr: 0.0002 
ep/it:80- 159 niter: 30800  149m 11s (- 2633m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.3777  loss_TTT: 0.0416  acc: 0.6015  lr: 0.0002 
ep/it:80- 209 niter: 30850  149m 25s (- 2633m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0415  acc: 0.6073  lr: 0.0002 
ep/it:80- 259 niter: 30900  149m 39s (- 2632m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.3750  loss_TTT: 0.0417  acc: 0.6015  lr: 0.0002 
ep/it:80- 309 niter: 30950  149m 53s (- 2632m 22s) completed:  5%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0409  acc: 0.6096  lr: 0.0002 
ep/it:80- 359 niter: 31000  150m 7s (- 2631m 56s) completed:  5%) loss_emb: 0.0000  loss: 1.3611  loss_TTT: 0.0428  acc: 0.6058  lr: 0.0002 
Validation time:
Validation loss:1.562, accuracy:0.568
ep/it:81-  26 niter: 31050  150m 24s (- 2632m 30s) completed:  5%) loss_emb: 0.0000  loss: 1.3457  loss_TTT: 0.0405  acc: 0.6095  lr: 0.0002 
ep/it:81-  76 niter: 31100  150m 38s (- 2632m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0412  acc: 0.6037  lr: 0.0002 
ep/it:81- 126 niter: 31150  150m 52s (- 2631m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.3355  loss_TTT: 0.0416  acc: 0.6106  lr: 0.0002 
ep/it:81- 176 niter: 31200  151m 6s (- 2631m 17s) completed:  5%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0395  acc: 0.6075  lr: 0.0002 
ep/it:81- 226 niter: 31250  151m 20s (- 2630m 52s) completed:  5%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0423  acc: 0.6028  lr: 0.0002 
ep/it:81- 276 niter: 31300  151m 34s (- 2630m 35s) completed:  5%) loss_emb: 0.0000  loss: 1.4091  loss_TTT: 0.0487  acc: 0.5960  lr: 0.0002 
ep/it:81- 326 niter: 31350  151m 48s (- 2630m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.3967  loss_TTT: 0.0479  acc: 0.5989  lr: 0.0002 
ep/it:81- 376 niter: 31400  152m 2s (- 2629m 50s) completed:  5%) loss_emb: 0.0000  loss: 1.3562  loss_TTT: 0.0428  acc: 0.6076  lr: 0.0002 
Validation time:
Validation loss:1.512, accuracy:0.580
ep/it:82-  43 niter: 31450  152m 19s (- 2630m 12s) completed:  5%) loss_emb: 0.0000  loss: 1.3610  loss_TTT: 0.0420  acc: 0.6075  lr: 0.0002 
ep/it:82-  93 niter: 31500  152m 33s (- 2629m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.3770  loss_TTT: 0.0413  acc: 0.6019  lr: 0.0002 
ep/it:82- 143 niter: 31550  152m 47s (- 2629m 26s) completed:  5%) loss_emb: 0.0000  loss: 1.3526  loss_TTT: 0.0411  acc: 0.6078  lr: 0.0002 
ep/it:82- 193 niter: 31600  153m 1s (- 2629m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0399  acc: 0.6071  lr: 0.0002 
ep/it:82- 243 niter: 31650  153m 15s (- 2628m 42s) completed:  5%) loss_emb: 0.0000  loss: 1.3561  loss_TTT: 0.0414  acc: 0.6069  lr: 0.0002 
ep/it:82- 293 niter: 31700  153m 29s (- 2628m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.3532  loss_TTT: 0.0421  acc: 0.6071  lr: 0.0002 
ep/it:82- 343 niter: 31750  153m 43s (- 2627m 57s) completed:  5%) loss_emb: 0.0000  loss: 1.3436  loss_TTT: 0.0392  acc: 0.6097  lr: 0.0002 
Validation time:
Validation loss:1.555, accuracy:0.570
ep/it:83-  10 niter: 31800  153m 59s (- 2628m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0423  acc: 0.6109  lr: 0.0002 
ep/it:83-  60 niter: 31850  154m 13s (- 2627m 39s) completed:  5%) loss_emb: 0.0000  loss: 1.3721  loss_TTT: 0.0430  acc: 0.6022  lr: 0.0002 
ep/it:83- 110 niter: 31900  154m 27s (- 2627m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.3801  loss_TTT: 0.0435  acc: 0.6012  lr: 0.0002 
ep/it:83- 160 niter: 31950  154m 40s (- 2626m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3669  loss_TTT: 0.0440  acc: 0.6054  lr: 0.0002 
ep/it:83- 210 niter: 32000  154m 54s (- 2626m 6s) completed:  5%) loss_emb: 0.0000  loss: 1.3466  loss_TTT: 0.0417  acc: 0.6089  lr: 0.0002 
ep/it:83- 260 niter: 32050  155m 8s (- 2625m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0424  acc: 0.5992  lr: 0.0002 
ep/it:83- 310 niter: 32100  155m 21s (- 2625m 13s) completed:  5%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0412  acc: 0.5996  lr: 0.0002 
ep/it:83- 360 niter: 32150  155m 35s (- 2624m 46s) completed:  5%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0410  acc: 0.6067  lr: 0.0002 
Validation time:
Validation loss:1.509, accuracy:0.582
ep/it:84-  27 niter: 32200  155m 51s (- 2625m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3446  loss_TTT: 0.0392  acc: 0.6085  lr: 0.0002 
ep/it:84-  77 niter: 32250  156m 5s (- 2624m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.3806  loss_TTT: 0.0407  acc: 0.6009  lr: 0.0002 
ep/it:84- 127 niter: 32300  156m 20s (- 2624m 24s) completed:  5%) loss_emb: 0.0000  loss: 1.3747  loss_TTT: 0.0413  acc: 0.6031  lr: 0.0002 
ep/it:84- 177 niter: 32350  156m 34s (- 2624m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.3500  loss_TTT: 0.0414  acc: 0.6083  lr: 0.0002 
ep/it:84- 227 niter: 32400  156m 48s (- 2623m 39s) completed:  5%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0427  acc: 0.6090  lr: 0.0002 
ep/it:84- 277 niter: 32450  157m 2s (- 2623m 14s) completed:  5%) loss_emb: 0.0000  loss: 1.3786  loss_TTT: 0.0426  acc: 0.6000  lr: 0.0002 
ep/it:84- 327 niter: 32500  157m 16s (- 2622m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0418  acc: 0.6064  lr: 0.0002 
ep/it:84- 377 niter: 32550  157m 30s (- 2622m 34s) completed:  5%) loss_emb: 0.0000  loss: 1.3779  loss_TTT: 0.0401  acc: 0.5997  lr: 0.0002 
Validation time:
Validation loss:1.544, accuracy:0.572
ep/it:85-  44 niter: 32600  157m 47s (- 2622m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.3536  loss_TTT: 0.0416  acc: 0.6065  lr: 0.0002 
ep/it:85-  94 niter: 32650  158m 1s (- 2622m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.3327  loss_TTT: 0.0413  acc: 0.6124  lr: 0.0002 
ep/it:85- 144 niter: 32700  158m 15s (- 2622m 8s) completed:  5%) loss_emb: 0.0000  loss: 1.3599  loss_TTT: 0.0419  acc: 0.6068  lr: 0.0002 
ep/it:85- 194 niter: 32750  158m 29s (- 2621m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.3659  loss_TTT: 0.0418  acc: 0.6045  lr: 0.0002 
ep/it:85- 244 niter: 32800  158m 43s (- 2621m 29s) completed:  5%) loss_emb: 0.0000  loss: 1.3735  loss_TTT: 0.0428  acc: 0.6026  lr: 0.0002 
ep/it:85- 294 niter: 32850  158m 57s (- 2621m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.3804  loss_TTT: 0.0430  acc: 0.6012  lr: 0.0002 
ep/it:85- 344 niter: 32900  159m 11s (- 2620m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0397  acc: 0.6128  lr: 0.0002 
Validation time:
Validation loss:1.558, accuracy:0.570
ep/it:86-  11 niter: 32950  159m 28s (- 2621m 10s) completed:  5%) loss_emb: 0.0000  loss: 1.3654  loss_TTT: 0.0450  acc: 0.6043  lr: 0.0002 
ep/it:86-  61 niter: 33000  159m 42s (- 2620m 45s) completed:  5%) loss_emb: 0.0000  loss: 1.3437  loss_TTT: 0.0419  acc: 0.6093  lr: 0.0002 
ep/it:86- 111 niter: 33050  159m 57s (- 2620m 26s) completed:  5%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0422  acc: 0.6066  lr: 0.0002 
ep/it:86- 161 niter: 33100  160m 10s (- 2620m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3589  loss_TTT: 0.0386  acc: 0.6052  lr: 0.0002 
ep/it:86- 211 niter: 33150  160m 24s (- 2619m 36s) completed:  5%) loss_emb: 0.0000  loss: 1.3679  loss_TTT: 0.0410  acc: 0.6049  lr: 0.0002 
ep/it:86- 261 niter: 33200  160m 38s (- 2619m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.3305  loss_TTT: 0.0417  acc: 0.6136  lr: 0.0002 
ep/it:86- 311 niter: 33250  160m 52s (- 2618m 43s) completed:  5%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0386  acc: 0.6063  lr: 0.0002 
ep/it:86- 361 niter: 33300  161m 6s (- 2618m 20s) completed:  5%) loss_emb: 0.0000  loss: 1.3532  loss_TTT: 0.0426  acc: 0.6076  lr: 0.0002 
Validation time:
Validation loss:1.523, accuracy:0.578
ep/it:87-  28 niter: 33350  161m 22s (- 2618m 32s) completed:  5%) loss_emb: 0.0000  loss: 1.3337  loss_TTT: 0.0408  acc: 0.6115  lr: 0.0002 
ep/it:87-  78 niter: 33400  161m 36s (- 2618m 8s) completed:  5%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0397  acc: 0.6065  lr: 0.0002 
ep/it:87- 128 niter: 33450  161m 50s (- 2617m 44s) completed:  5%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0437  acc: 0.6095  lr: 0.0002 
ep/it:87- 178 niter: 33500  162m 4s (- 2617m 18s) completed:  5%) loss_emb: 0.0000  loss: 1.3488  loss_TTT: 0.0405  acc: 0.6087  lr: 0.0002 
ep/it:87- 228 niter: 33550  162m 18s (- 2617m 5s) completed:  5%) loss_emb: 0.0000  loss: 1.3469  loss_TTT: 0.0425  acc: 0.6090  lr: 0.0002 
ep/it:87- 278 niter: 33600  162m 32s (- 2616m 41s) completed:  5%) loss_emb: 0.0000  loss: 1.3803  loss_TTT: 0.0424  acc: 0.5997  lr: 0.0002 
ep/it:87- 328 niter: 33650  162m 46s (- 2616m 13s) completed:  5%) loss_emb: 0.0000  loss: 1.3434  loss_TTT: 0.0407  acc: 0.6098  lr: 0.0002 
ep/it:87- 378 niter: 33700  163m 0s (- 2615m 47s) completed:  5%) loss_emb: 0.0000  loss: 1.3619  loss_TTT: 0.0421  acc: 0.6064  lr: 0.0002 
Validation time:
Validation loss:1.500, accuracy:0.584
ep/it:88-  45 niter: 33750  163m 16s (- 2616m 1s) completed:  5%) loss_emb: 0.0000  loss: 1.3295  loss_TTT: 0.0422  acc: 0.6140  lr: 0.0002 
ep/it:88-  95 niter: 33800  163m 30s (- 2615m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3569  loss_TTT: 0.0415  acc: 0.6062  lr: 0.0002 
ep/it:88- 145 niter: 33850  163m 43s (- 2615m 7s) completed:  5%) loss_emb: 0.0000  loss: 1.3445  loss_TTT: 0.0436  acc: 0.6100  lr: 0.0002 
ep/it:88- 195 niter: 33900  163m 57s (- 2614m 39s) completed:  5%) loss_emb: 0.0000  loss: 1.3651  loss_TTT: 0.0424  acc: 0.6034  lr: 0.0002 
ep/it:88- 245 niter: 33950  164m 11s (- 2614m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.3627  loss_TTT: 0.0416  acc: 0.6049  lr: 0.0002 
ep/it:88- 295 niter: 34000  164m 24s (- 2613m 38s) completed:  5%) loss_emb: 0.0000  loss: 1.3771  loss_TTT: 0.0421  acc: 0.6004  lr: 0.0002 
ep/it:88- 345 niter: 34050  164m 38s (- 2613m 21s) completed:  5%) loss_emb: 0.0000  loss: 1.3809  loss_TTT: 0.0390  acc: 0.5993  lr: 0.0002 
Validation time:
Validation loss:1.547, accuracy:0.572
ep/it:89-  12 niter: 34100  164m 55s (- 2613m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.3267  loss_TTT: 0.0405  acc: 0.6132  lr: 0.0002 
ep/it:89-  62 niter: 34150  165m 9s (- 2613m 9s) completed:  5%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0420  acc: 0.6046  lr: 0.0002 
ep/it:89- 112 niter: 34200  165m 23s (- 2612m 51s) completed:  5%) loss_emb: 0.0000  loss: 1.3883  loss_TTT: 0.0420  acc: 0.5990  lr: 0.0002 
ep/it:89- 162 niter: 34250  165m 37s (- 2612m 37s) completed:  5%) loss_emb: 0.0000  loss: 1.3190  loss_TTT: 0.0400  acc: 0.6163  lr: 0.0002 
ep/it:89- 212 niter: 34300  165m 51s (- 2612m 14s) completed:  5%) loss_emb: 0.0000  loss: 1.3258  loss_TTT: 0.0403  acc: 0.6142  lr: 0.0002 
ep/it:89- 262 niter: 34350  166m 5s (- 2611m 53s) completed:  5%) loss_emb: 0.0000  loss: 1.3601  loss_TTT: 0.0399  acc: 0.6045  lr: 0.0002 
ep/it:89- 312 niter: 34400  166m 20s (- 2611m 33s) completed:  5%) loss_emb: 0.0000  loss: 1.3462  loss_TTT: 0.0398  acc: 0.6072  lr: 0.0002 
ep/it:89- 362 niter: 34450  166m 34s (- 2611m 11s) completed:  5%) loss_emb: 0.0000  loss: 1.3442  loss_TTT: 0.0396  acc: 0.6101  lr: 0.0002 
Validation time:
Validation loss:1.524, accuracy:0.579
ep/it:90-  29 niter: 34500  166m 50s (- 2611m 30s) completed:  6%) loss_emb: 0.0000  loss: 1.3340  loss_TTT: 0.0412  acc: 0.6126  lr: 0.0002 
ep/it:90-  79 niter: 34550  167m 5s (- 2611m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3703  loss_TTT: 0.0416  acc: 0.6017  lr: 0.0002 
ep/it:90- 129 niter: 34600  167m 19s (- 2610m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.3340  loss_TTT: 0.0410  acc: 0.6109  lr: 0.0002 
ep/it:90- 179 niter: 34650  167m 33s (- 2610m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0422  acc: 0.6045  lr: 0.0002 
ep/it:90- 229 niter: 34700  167m 48s (- 2610m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3414  loss_TTT: 0.0410  acc: 0.6102  lr: 0.0002 
ep/it:90- 279 niter: 34750  168m 2s (- 2610m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.3734  loss_TTT: 0.0405  acc: 0.6003  lr: 0.0002 
ep/it:90- 329 niter: 34800  168m 16s (- 2609m 42s) completed:  6%) loss_emb: 0.0000  loss: 1.3895  loss_TTT: 0.0417  acc: 0.5990  lr: 0.0002 
ep/it:90- 379 niter: 34850  168m 30s (- 2609m 24s) completed:  6%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0404  acc: 0.6078  lr: 0.0002 
Validation time:
Validation loss:1.549, accuracy:0.569
ep/it:91-  46 niter: 34900  168m 46s (- 2609m 33s) completed:  6%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0401  acc: 0.6052  lr: 0.0002 
ep/it:91-  96 niter: 34950  169m 0s (- 2609m 9s) completed:  6%) loss_emb: 0.0000  loss: 1.3600  loss_TTT: 0.0413  acc: 0.6060  lr: 0.0002 
ep/it:91- 146 niter: 35000  169m 14s (- 2608m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.3394  loss_TTT: 0.0414  acc: 0.6097  lr: 0.0002 
ep/it:91- 196 niter: 35050  169m 28s (- 2608m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.3457  loss_TTT: 0.0406  acc: 0.6085  lr: 0.0002 
ep/it:91- 246 niter: 35100  169m 41s (- 2607m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.3434  loss_TTT: 0.0422  acc: 0.6098  lr: 0.0002 
ep/it:91- 296 niter: 35150  169m 55s (- 2607m 27s) completed:  6%) loss_emb: 0.0000  loss: 1.3931  loss_TTT: 0.0428  acc: 0.5975  lr: 0.0002 
ep/it:91- 346 niter: 35200  170m 9s (- 2607m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.3441  loss_TTT: 0.0392  acc: 0.6101  lr: 0.0002 
Validation time:
Validation loss:1.484, accuracy:0.587
ep/it:92-  13 niter: 35250  170m 25s (- 2607m 10s) completed:  6%) loss_emb: 0.0000  loss: 1.3369  loss_TTT: 0.0383  acc: 0.6109  lr: 0.0002 
ep/it:92-  63 niter: 35300  170m 39s (- 2606m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.3502  loss_TTT: 0.0403  acc: 0.6064  lr: 0.0002 
ep/it:92- 113 niter: 35350  170m 54s (- 2606m 32s) completed:  6%) loss_emb: 0.0000  loss: 1.3492  loss_TTT: 0.0397  acc: 0.6087  lr: 0.0002 
ep/it:92- 163 niter: 35400  171m 7s (- 2606m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.3701  loss_TTT: 0.0443  acc: 0.6037  lr: 0.0002 
ep/it:92- 213 niter: 35450  171m 21s (- 2605m 46s) completed:  6%) loss_emb: 0.0000  loss: 1.3838  loss_TTT: 0.0433  acc: 0.5992  lr: 0.0002 
ep/it:92- 263 niter: 35500  171m 36s (- 2605m 26s) completed:  6%) loss_emb: 0.0000  loss: 1.3598  loss_TTT: 0.0406  acc: 0.6064  lr: 0.0002 
ep/it:92- 313 niter: 35550  171m 50s (- 2605m 5s) completed:  6%) loss_emb: 0.0000  loss: 1.3316  loss_TTT: 0.0404  acc: 0.6120  lr: 0.0002 
ep/it:92- 363 niter: 35600  172m 4s (- 2604m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.3404  loss_TTT: 0.0417  acc: 0.6117  lr: 0.0002 
Validation time:
Validation loss:1.505, accuracy:0.583
ep/it:93-  30 niter: 35650  172m 20s (- 2605m 3s) completed:  6%) loss_emb: 0.0000  loss: 1.3417  loss_TTT: 0.0411  acc: 0.6111  lr: 0.0002 
ep/it:93-  80 niter: 35700  172m 34s (- 2604m 33s) completed:  6%) loss_emb: 0.0000  loss: 1.3616  loss_TTT: 0.0414  acc: 0.6061  lr: 0.0002 
ep/it:93- 130 niter: 35750  172m 48s (- 2604m 10s) completed:  6%) loss_emb: 0.0000  loss: 1.3310  loss_TTT: 0.0429  acc: 0.6141  lr: 0.0002 
ep/it:93- 180 niter: 35800  173m 2s (- 2603m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0416  acc: 0.6084  lr: 0.0002 
ep/it:93- 230 niter: 35850  173m 15s (- 2603m 15s) completed:  6%) loss_emb: 0.0000  loss: 1.3418  loss_TTT: 0.0420  acc: 0.6097  lr: 0.0002 
ep/it:93- 280 niter: 35900  173m 29s (- 2602m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.3317  loss_TTT: 0.0410  acc: 0.6129  lr: 0.0002 
ep/it:93- 330 niter: 35950  173m 42s (- 2602m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3441  loss_TTT: 0.0414  acc: 0.6091  lr: 0.0002 
ep/it:93- 380 niter: 36000  173m 56s (- 2601m 51s) completed:  6%) loss_emb: 0.0000  loss: 1.3551  loss_TTT: 0.0429  acc: 0.6081  lr: 0.0002 
Validation time:
Validation loss:1.514, accuracy:0.579
ep/it:94-  47 niter: 36050  174m 13s (- 2602m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0394  acc: 0.6076  lr: 0.0002 
ep/it:94-  97 niter: 36100  174m 27s (- 2601m 59s) completed:  6%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0411  acc: 0.6080  lr: 0.0002 
ep/it:94- 147 niter: 36150  174m 41s (- 2601m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0422  acc: 0.6087  lr: 0.0002 
ep/it:94- 197 niter: 36200  174m 55s (- 2601m 15s) completed:  6%) loss_emb: 0.0000  loss: 1.3421  loss_TTT: 0.0418  acc: 0.6101  lr: 0.0002 
ep/it:94- 247 niter: 36250  175m 10s (- 2600m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.3607  loss_TTT: 0.0404  acc: 0.6042  lr: 0.0002 
ep/it:94- 297 niter: 36300  175m 23s (- 2600m 32s) completed:  6%) loss_emb: 0.0000  loss: 1.3639  loss_TTT: 0.0426  acc: 0.6038  lr: 0.0002 
ep/it:94- 347 niter: 36350  175m 38s (- 2600m 11s) completed:  6%) loss_emb: 0.0000  loss: 1.3657  loss_TTT: 0.0402  acc: 0.6046  lr: 0.0002 
Validation time:
Validation loss:1.536, accuracy:0.575
ep/it:95-  14 niter: 36400  175m 54s (- 2600m 30s) completed:  6%) loss_emb: 0.0000  loss: 1.3266  loss_TTT: 0.0422  acc: 0.6143  lr: 0.0002 
ep/it:95-  64 niter: 36450  176m 8s (- 2600m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.3407  loss_TTT: 0.0416  acc: 0.6110  lr: 0.0002 
ep/it:95- 114 niter: 36500  176m 22s (- 2599m 36s) completed:  6%) loss_emb: 0.0000  loss: 1.3518  loss_TTT: 0.0406  acc: 0.6071  lr: 0.0002 
ep/it:95- 164 niter: 36550  176m 36s (- 2599m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.3539  loss_TTT: 0.0437  acc: 0.6074  lr: 0.0002 
ep/it:95- 214 niter: 36600  176m 49s (- 2598m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.3419  loss_TTT: 0.0399  acc: 0.6090  lr: 0.0002 
ep/it:95- 264 niter: 36650  177m 3s (- 2598m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.3624  loss_TTT: 0.0427  acc: 0.6054  lr: 0.0002 
ep/it:95- 314 niter: 36700  177m 16s (- 2597m 52s) completed:  6%) loss_emb: 0.0000  loss: 1.3439  loss_TTT: 0.0416  acc: 0.6089  lr: 0.0002 
ep/it:95- 364 niter: 36750  177m 30s (- 2597m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.3465  loss_TTT: 0.0383  acc: 0.6091  lr: 0.0002 
Validation time:
Validation loss:1.521, accuracy:0.580
ep/it:96-  31 niter: 36800  177m 47s (- 2597m 43s) completed:  6%) loss_emb: 0.0000  loss: 1.3408  loss_TTT: 0.0411  acc: 0.6116  lr: 0.0002 
ep/it:96-  81 niter: 36850  178m 1s (- 2597m 26s) completed:  6%) loss_emb: 0.0000  loss: 1.3459  loss_TTT: 0.0434  acc: 0.6108  lr: 0.0002 
ep/it:96- 131 niter: 36900  178m 15s (- 2597m 9s) completed:  6%) loss_emb: 0.0000  loss: 1.3523  loss_TTT: 0.0432  acc: 0.6085  lr: 0.0002 
ep/it:96- 181 niter: 36950  178m 30s (- 2596m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.3346  loss_TTT: 0.0399  acc: 0.6132  lr: 0.0002 
ep/it:96- 231 niter: 37000  178m 44s (- 2596m 30s) completed:  6%) loss_emb: 0.0000  loss: 1.3477  loss_TTT: 0.0409  acc: 0.6089  lr: 0.0002 
ep/it:96- 281 niter: 37050  178m 58s (- 2596m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0432  acc: 0.6095  lr: 0.0002 
ep/it:96- 331 niter: 37100  179m 12s (- 2595m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0391  acc: 0.6090  lr: 0.0002 
ep/it:96- 381 niter: 37150  179m 27s (- 2595m 44s) completed:  6%) loss_emb: 0.0000  loss: 1.3452  loss_TTT: 0.0420  acc: 0.6090  lr: 0.0002 
Validation time:
Validation loss:1.561, accuracy:0.568
ep/it:97-  48 niter: 37200  179m 44s (- 2596m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0408  acc: 0.6026  lr: 0.0002 
ep/it:97-  98 niter: 37250  179m 58s (- 2595m 38s) completed:  6%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0417  acc: 0.6064  lr: 0.0002 
ep/it:97- 148 niter: 37300  180m 12s (- 2595m 17s) completed:  6%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0390  acc: 0.6065  lr: 0.0002 
ep/it:97- 198 niter: 37350  180m 26s (- 2594m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.3320  loss_TTT: 0.0405  acc: 0.6117  lr: 0.0002 
ep/it:97- 248 niter: 37400  180m 39s (- 2594m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0413  acc: 0.6087  lr: 0.0002 
ep/it:97- 298 niter: 37450  180m 53s (- 2594m 4s) completed:  6%) loss_emb: 0.0000  loss: 1.3540  loss_TTT: 0.0403  acc: 0.6079  lr: 0.0002 
ep/it:97- 348 niter: 37500  181m 7s (- 2593m 40s) completed:  6%) loss_emb: 0.0000  loss: 1.3614  loss_TTT: 0.0404  acc: 0.6053  lr: 0.0002 
Validation time:
Validation loss:1.538, accuracy:0.574
ep/it:98-  15 niter: 37550  181m 24s (- 2593m 58s) completed:  6%) loss_emb: 0.0000  loss: 1.3512  loss_TTT: 0.0403  acc: 0.6070  lr: 0.0002 
ep/it:98-  65 niter: 37600  181m 37s (- 2593m 32s) completed:  6%) loss_emb: 0.0000  loss: 1.3707  loss_TTT: 0.0406  acc: 0.6040  lr: 0.0002 
ep/it:98- 115 niter: 37650  181m 51s (- 2593m 8s) completed:  6%) loss_emb: 0.0000  loss: 1.3446  loss_TTT: 0.0415  acc: 0.6092  lr: 0.0002 
ep/it:98- 165 niter: 37700  182m 5s (- 2592m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.3597  loss_TTT: 0.0409  acc: 0.6053  lr: 0.0002 
ep/it:98- 215 niter: 37750  182m 19s (- 2592m 26s) completed:  6%) loss_emb: 0.0000  loss: 1.3373  loss_TTT: 0.0417  acc: 0.6105  lr: 0.0002 
ep/it:98- 265 niter: 37800  182m 33s (- 2592m 6s) completed:  6%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0398  acc: 0.6074  lr: 0.0002 
ep/it:98- 315 niter: 37850  182m 47s (- 2591m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.3465  loss_TTT: 0.0403  acc: 0.6094  lr: 0.0002 
ep/it:98- 365 niter: 37900  183m 1s (- 2591m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.3372  loss_TTT: 0.0415  acc: 0.6113  lr: 0.0002 
Validation time:
Validation loss:1.472, accuracy:0.593
Improved accuracy from 0.59 to 0.5927030107249385!!!
ep/it:99-  32 niter: 37950  183m 18s (- 2591m 45s) completed:  6%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0399  acc: 0.6080  lr: 0.0002 
ep/it:99-  82 niter: 38000  183m 32s (- 2591m 23s) completed:  6%) loss_emb: 0.0000  loss: 1.3456  loss_TTT: 0.0404  acc: 0.6095  lr: 0.0002 
ep/it:99- 132 niter: 38050  183m 46s (- 2591m 2s) completed:  6%) loss_emb: 0.0000  loss: 1.3683  loss_TTT: 0.0420  acc: 0.6025  lr: 0.0002 
ep/it:99- 182 niter: 38100  184m 0s (- 2590m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.3439  loss_TTT: 0.0417  acc: 0.6101  lr: 0.0002 
ep/it:99- 232 niter: 38150  184m 14s (- 2590m 19s) completed:  6%) loss_emb: 0.0000  loss: 1.3223  loss_TTT: 0.0406  acc: 0.6153  lr: 0.0002 
ep/it:99- 282 niter: 38200  184m 28s (- 2589m 53s) completed:  6%) loss_emb: 0.0000  loss: 1.3542  loss_TTT: 0.0402  acc: 0.6054  lr: 0.0002 
ep/it:99- 332 niter: 38250  184m 42s (- 2589m 38s) completed:  6%) loss_emb: 0.0000  loss: 1.3545  loss_TTT: 0.0414  acc: 0.6083  lr: 0.0002 
ep/it:99- 382 niter: 38300  184m 57s (- 2589m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.3633  loss_TTT: 0.0443  acc: 0.6056  lr: 0.0002 
Validation time:
Validation loss:1.525, accuracy:0.579

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.22it/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,  7.90it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.453062213025987 avg: 2.453062213025987
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.454741906840354 avg: 2.4539020599331707
--> 	 Eva. Repeat 22 :, FID. 0.2012, Diversity Real. 9.3657, Diversity. 9.9030, R_precision_real. [0.484375   0.69921875 0.796875  ], R_precision. [0.48144531 0.68457031 0.77636719], matching_score_real. 2.9847, matching_score_pred. 3.0652, skate_ratio. 0.0445, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5488 (traj_fail_50cm (Traj err)): 0.3193 (kps_fail_20cm): 0.3892 (kps_fail_50cm (Loc. err)): 0.2097 (kps_mean_err(m) (Avg. err)): 0.3818 
ep/it:100-  49 niter: 38350  185m 19s (- 2591m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.3401  loss_TTT: 0.0390  acc: 0.6096  lr: 0.0002 
ep/it:100-  99 niter: 38400  185m 33s (- 2590m 34s) completed:  6%) loss_emb: 0.0000  loss: 1.3519  loss_TTT: 0.0445  acc: 0.6088  lr: 0.0002 
ep/it:100- 149 niter: 38450  185m 47s (- 2590m 8s) completed:  6%) loss_emb: 0.0000  loss: 1.3705  loss_TTT: 0.0425  acc: 0.6041  lr: 0.0002 
ep/it:100- 199 niter: 38500  186m 0s (- 2589m 42s) completed:  6%) loss_emb: 0.0000  loss: 1.3680  loss_TTT: 0.0413  acc: 0.6032  lr: 0.0002 
ep/it:100- 249 niter: 38550  186m 14s (- 2589m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3395  loss_TTT: 0.0400  acc: 0.6105  lr: 0.0002 
ep/it:100- 299 niter: 38600  186m 28s (- 2588m 55s) completed:  6%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0435  acc: 0.6085  lr: 0.0002 
ep/it:100- 349 niter: 38650  186m 42s (- 2588m 29s) completed:  6%) loss_emb: 0.0000  loss: 1.3490  loss_TTT: 0.0400  acc: 0.6080  lr: 0.0002 
Validation time:
Validation loss:1.515, accuracy:0.581
ep/it:101-  16 niter: 38700  186m 57s (- 2588m 31s) completed:  6%) loss_emb: 0.0000  loss: 1.3197  loss_TTT: 0.0393  acc: 0.6148  lr: 0.0002 
ep/it:101-  66 niter: 38750  187m 11s (- 2588m 7s) completed:  6%) loss_emb: 0.0000  loss: 1.3382  loss_TTT: 0.0406  acc: 0.6098  lr: 0.0002 
ep/it:101- 116 niter: 38800  187m 25s (- 2587m 44s) completed:  6%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0403  acc: 0.6067  lr: 0.0002 
ep/it:101- 166 niter: 38850  187m 38s (- 2587m 14s) completed:  6%) loss_emb: 0.0000  loss: 1.3522  loss_TTT: 0.0425  acc: 0.6085  lr: 0.0002 
ep/it:101- 216 niter: 38900  187m 53s (- 2586m 54s) completed:  6%) loss_emb: 0.0000  loss: 1.3714  loss_TTT: 0.0441  acc: 0.6017  lr: 0.0002 
ep/it:101- 266 niter: 38950  188m 6s (- 2586m 29s) completed:  6%) loss_emb: 0.0000  loss: 1.3724  loss_TTT: 0.0412  acc: 0.6023  lr: 0.0002 
ep/it:101- 316 niter: 39000  188m 20s (- 2586m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0413  acc: 0.6061  lr: 0.0002 
ep/it:101- 366 niter: 39050  188m 34s (- 2585m 41s) completed:  6%) loss_emb: 0.0000  loss: 1.3333  loss_TTT: 0.0369  acc: 0.6122  lr: 0.0002 
Validation time:
Validation loss:1.537, accuracy:0.573
ep/it:102-  33 niter: 39100  188m 50s (- 2585m 49s) completed:  6%) loss_emb: 0.0000  loss: 1.3497  loss_TTT: 0.0381  acc: 0.6089  lr: 0.0002 
ep/it:102-  83 niter: 39150  189m 4s (- 2585m 22s) completed:  6%) loss_emb: 0.0000  loss: 1.3415  loss_TTT: 0.0433  acc: 0.6097  lr: 0.0002 
ep/it:102- 133 niter: 39200  189m 17s (- 2584m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.3753  loss_TTT: 0.0428  acc: 0.6005  lr: 0.0002 
ep/it:102- 183 niter: 39250  189m 31s (- 2584m 30s) completed:  6%) loss_emb: 0.0000  loss: 1.3247  loss_TTT: 0.0412  acc: 0.6142  lr: 0.0002 
ep/it:102- 233 niter: 39300  189m 44s (- 2584m 0s) completed:  6%) loss_emb: 0.0000  loss: 1.3555  loss_TTT: 0.0435  acc: 0.6061  lr: 0.0002 
ep/it:102- 283 niter: 39350  189m 58s (- 2583m 37s) completed:  6%) loss_emb: 0.0000  loss: 1.3725  loss_TTT: 0.0438  acc: 0.6015  lr: 0.0002 
ep/it:102- 333 niter: 39400  190m 12s (- 2583m 10s) completed:  6%) loss_emb: 0.0000  loss: 1.3595  loss_TTT: 0.0398  acc: 0.6043  lr: 0.0002 
Validation time:
Validation loss:1.553, accuracy:0.572
ep/it:103-   0 niter: 39450  190m 27s (- 2583m 13s) completed:  6%) loss_emb: 0.0000  loss: 1.3460  loss_TTT: 0.0412  acc: 0.6094  lr: 0.0002 
ep/it:103-  50 niter: 39500  190m 41s (- 2582m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.3363  loss_TTT: 0.0414  acc: 0.6111  lr: 0.0002 
ep/it:103- 100 niter: 39550  190m 55s (- 2582m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.3408  loss_TTT: 0.0411  acc: 0.6094  lr: 0.0002 
ep/it:103- 150 niter: 39600  191m 9s (- 2582m 1s) completed:  6%) loss_emb: 0.0000  loss: 1.3371  loss_TTT: 0.0401  acc: 0.6102  lr: 0.0002 
ep/it:103- 200 niter: 39650  191m 22s (- 2581m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.3304  loss_TTT: 0.0415  acc: 0.6129  lr: 0.0002 
ep/it:103- 250 niter: 39700  191m 36s (- 2581m 9s) completed:  6%) loss_emb: 0.0000  loss: 1.3428  loss_TTT: 0.0400  acc: 0.6103  lr: 0.0002 
ep/it:103- 300 niter: 39750  191m 49s (- 2580m 39s) completed:  6%) loss_emb: 0.0000  loss: 1.3733  loss_TTT: 0.0388  acc: 0.6009  lr: 0.0002 
ep/it:103- 350 niter: 39800  192m 3s (- 2580m 12s) completed:  6%) loss_emb: 0.0000  loss: 1.3454  loss_TTT: 0.0448  acc: 0.6089  lr: 0.0002 
Validation time:
Validation loss:1.524, accuracy:0.577
ep/it:104-  17 niter: 39850  192m 19s (- 2580m 18s) completed:  6%) loss_emb: 0.0000  loss: 1.3286  loss_TTT: 0.0392  acc: 0.6121  lr: 0.0002 
ep/it:104-  67 niter: 39900  192m 33s (- 2579m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0409  acc: 0.6049  lr: 0.0002 
ep/it:104- 117 niter: 39950  192m 46s (- 2579m 28s) completed:  6%) loss_emb: 0.0000  loss: 1.3390  loss_TTT: 0.0407  acc: 0.6106  lr: 0.0002 
ep/it:104- 167 niter: 40000  193m 0s (- 2579m 7s) completed:  6%) loss_emb: 0.0000  loss: 1.3258  loss_TTT: 0.0411  acc: 0.6132  lr: 0.0002 
ep/it:104- 217 niter: 40050  193m 14s (- 2578m 48s) completed:  6%) loss_emb: 0.0000  loss: 1.3524  loss_TTT: 0.0433  acc: 0.6093  lr: 0.0002 
ep/it:104- 267 niter: 40100  193m 28s (- 2578m 20s) completed:  6%) loss_emb: 0.0000  loss: 1.3631  loss_TTT: 0.0406  acc: 0.6056  lr: 0.0002 
ep/it:104- 317 niter: 40150  193m 42s (- 2577m 56s) completed:  6%) loss_emb: 0.0000  loss: 1.3274  loss_TTT: 0.0391  acc: 0.6128  lr: 0.0002 
ep/it:104- 367 niter: 40200  193m 56s (- 2577m 35s) completed:  6%) loss_emb: 0.0000  loss: 1.3578  loss_TTT: 0.0426  acc: 0.6059  lr: 0.0002 
Validation time:
Validation loss:1.493, accuracy:0.585
ep/it:105-  34 niter: 40250  194m 11s (- 2577m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.3899  loss_TTT: 0.0421  acc: 0.5963  lr: 0.0002 
ep/it:105-  84 niter: 40300  194m 25s (- 2577m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0404  acc: 0.6075  lr: 0.0002 
ep/it:105- 134 niter: 40350  194m 39s (- 2576m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.3494  loss_TTT: 0.0395  acc: 0.6073  lr: 0.0002 
ep/it:105- 184 niter: 40400  194m 52s (- 2576m 24s) completed:  7%) loss_emb: 0.0000  loss: 1.3310  loss_TTT: 0.0407  acc: 0.6111  lr: 0.0002 
ep/it:105- 234 niter: 40450  195m 6s (- 2575m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.3465  loss_TTT: 0.0429  acc: 0.6080  lr: 0.0002 
ep/it:105- 284 niter: 40500  195m 20s (- 2575m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.3523  loss_TTT: 0.0418  acc: 0.6064  lr: 0.0002 
ep/it:105- 334 niter: 40550  195m 34s (- 2575m 18s) completed:  7%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0429  acc: 0.6111  lr: 0.0002 
Validation time:
Validation loss:1.509, accuracy:0.582
ep/it:106-   1 niter: 40600  195m 50s (- 2575m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.3517  loss_TTT: 0.0418  acc: 0.6067  lr: 0.0002 
ep/it:106-  51 niter: 40650  196m 5s (- 2575m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.3329  loss_TTT: 0.0394  acc: 0.6126  lr: 0.0002 
ep/it:106- 101 niter: 40700  196m 19s (- 2574m 55s) completed:  7%) loss_emb: 0.0000  loss: 1.3504  loss_TTT: 0.0403  acc: 0.6073  lr: 0.0002 
ep/it:106- 151 niter: 40750  196m 33s (- 2574m 36s) completed:  7%) loss_emb: 0.0000  loss: 1.3305  loss_TTT: 0.0396  acc: 0.6120  lr: 0.0002 
ep/it:106- 201 niter: 40800  196m 48s (- 2574m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.3481  loss_TTT: 0.0405  acc: 0.6074  lr: 0.0002 
ep/it:106- 251 niter: 40850  197m 1s (- 2573m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0394  acc: 0.6068  lr: 0.0002 
ep/it:106- 301 niter: 40900  197m 16s (- 2573m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.3484  loss_TTT: 0.0400  acc: 0.6081  lr: 0.0002 
ep/it:106- 351 niter: 40950  197m 30s (- 2573m 18s) completed:  7%) loss_emb: 0.0000  loss: 1.3855  loss_TTT: 0.0413  acc: 0.5975  lr: 0.0002 
Validation time:
Validation loss:1.497, accuracy:0.584
ep/it:107-  18 niter: 41000  197m 46s (- 2573m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.3156  loss_TTT: 0.0430  acc: 0.6177  lr: 0.0002 
ep/it:107-  68 niter: 41050  198m 0s (- 2573m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.3446  loss_TTT: 0.0421  acc: 0.6091  lr: 0.0002 
ep/it:107- 118 niter: 41100  198m 14s (- 2572m 44s) completed:  7%) loss_emb: 0.0000  loss: 1.3581  loss_TTT: 0.0417  acc: 0.6053  lr: 0.0002 
ep/it:107- 168 niter: 41150  198m 28s (- 2572m 21s) completed:  7%) loss_emb: 0.0000  loss: 1.3577  loss_TTT: 0.0392  acc: 0.6045  lr: 0.0002 
ep/it:107- 218 niter: 41200  198m 41s (- 2571m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.3134  loss_TTT: 0.0403  acc: 0.6179  lr: 0.0002 
ep/it:107- 268 niter: 41250  198m 55s (- 2571m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.3495  loss_TTT: 0.0413  acc: 0.6084  lr: 0.0002 
ep/it:107- 318 niter: 41300  199m 9s (- 2571m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.3537  loss_TTT: 0.0425  acc: 0.6071  lr: 0.0002 
ep/it:107- 368 niter: 41350  199m 22s (- 2570m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.3652  loss_TTT: 0.0406  acc: 0.6025  lr: 0.0002 
Validation time:
Validation loss:1.467, accuracy:0.592
ep/it:108-  35 niter: 41400  199m 38s (- 2570m 46s) completed:  7%) loss_emb: 0.0000  loss: 1.3379  loss_TTT: 0.0421  acc: 0.6108  lr: 0.0002 
ep/it:108-  85 niter: 41450  199m 52s (- 2570m 24s) completed:  7%) loss_emb: 0.0000  loss: 1.3510  loss_TTT: 0.0393  acc: 0.6073  lr: 0.0002 
ep/it:108- 135 niter: 41500  200m 6s (- 2569m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.3519  loss_TTT: 0.0391  acc: 0.6067  lr: 0.0002 
ep/it:108- 185 niter: 41550  200m 20s (- 2569m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.3318  loss_TTT: 0.0396  acc: 0.6110  lr: 0.0002 
ep/it:108- 235 niter: 41600  200m 34s (- 2569m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.3306  loss_TTT: 0.0390  acc: 0.6136  lr: 0.0002 
ep/it:108- 285 niter: 41650  200m 48s (- 2568m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.3280  loss_TTT: 0.0393  acc: 0.6132  lr: 0.0002 
ep/it:108- 335 niter: 41700  201m 2s (- 2568m 36s) completed:  7%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0424  acc: 0.6075  lr: 0.0002 
Validation time:
Validation loss:1.489, accuracy:0.586
ep/it:109-   2 niter: 41750  201m 18s (- 2568m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.3320  loss_TTT: 0.0424  acc: 0.6124  lr: 0.0002 
ep/it:109-  52 niter: 41800  201m 31s (- 2568m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.3305  loss_TTT: 0.0423  acc: 0.6114  lr: 0.0002 
ep/it:109- 102 niter: 41850  201m 45s (- 2567m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.3693  loss_TTT: 0.0423  acc: 0.6031  lr: 0.0002 
ep/it:109- 152 niter: 41900  201m 59s (- 2567m 33s) completed:  7%) loss_emb: 0.0000  loss: 1.3360  loss_TTT: 0.0389  acc: 0.6109  lr: 0.0002 
ep/it:109- 202 niter: 41950  202m 12s (- 2567m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.3571  loss_TTT: 0.0393  acc: 0.6047  lr: 0.0002 
ep/it:109- 252 niter: 42000  202m 26s (- 2566m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.3398  loss_TTT: 0.0419  acc: 0.6091  lr: 0.0002 
ep/it:109- 302 niter: 42050  202m 40s (- 2566m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.3292  loss_TTT: 0.0399  acc: 0.6128  lr: 0.0002 
ep/it:109- 352 niter: 42100  202m 54s (- 2565m 58s) completed:  7%) loss_emb: 0.0000  loss: 1.3294  loss_TTT: 0.0405  acc: 0.6118  lr: 0.0002 
Validation time:
Validation loss:1.483, accuracy:0.586

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.16it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.41it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.76it/s]
100%|██████████| 47/47 [00:05<00:00,  8.05it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.451336785685271 avg: 2.451336785685271
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4488700539804995 avg: 2.4501034198328853
--> 	 Eva. Repeat 22 :, FID. 0.1659, Diversity Real. 9.2025, Diversity. 9.9588, R_precision_real. [0.51367188 0.69726562 0.79882812], R_precision. [0.484375   0.67285156 0.78222656], matching_score_real. 2.9357, matching_score_pred. 3.0703, skate_ratio. 0.0434, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5439 (traj_fail_50cm (Traj err)): 0.3223 (kps_fail_20cm): 0.3860 (kps_fail_50cm (Loc. err)): 0.2099 (kps_mean_err(m) (Avg. err)): 0.3713 
ep/it:110-  19 niter: 42150  203m 17s (- 2567m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.3217  loss_TTT: 0.0378  acc: 0.6152  lr: 0.0002 
ep/it:110-  69 niter: 42200  203m 31s (- 2567m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.3314  loss_TTT: 0.0404  acc: 0.6112  lr: 0.0002 
ep/it:110- 119 niter: 42250  203m 44s (- 2566m 45s) completed:  7%) loss_emb: 0.0000  loss: 1.3253  loss_TTT: 0.0401  acc: 0.6128  lr: 0.0002 
ep/it:110- 169 niter: 42300  203m 58s (- 2566m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.3350  loss_TTT: 0.0385  acc: 0.6106  lr: 0.0002 
ep/it:110- 219 niter: 42350  204m 12s (- 2565m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.3185  loss_TTT: 0.0392  acc: 0.6146  lr: 0.0002 
ep/it:110- 269 niter: 42400  204m 26s (- 2565m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.3713  loss_TTT: 0.0392  acc: 0.6017  lr: 0.0002 
ep/it:110- 319 niter: 42450  204m 39s (- 2565m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.3646  loss_TTT: 0.0418  acc: 0.6036  lr: 0.0002 
ep/it:110- 369 niter: 42500  204m 53s (- 2564m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.3609  loss_TTT: 0.0420  acc: 0.6045  lr: 0.0002 
Validation time:
Validation loss:1.490, accuracy:0.586
ep/it:111-  36 niter: 42550  205m 10s (- 2564m 57s) completed:  7%) loss_emb: 0.0000  loss: 1.3602  loss_TTT: 0.0391  acc: 0.6029  lr: 0.0002 
ep/it:111-  86 niter: 42600  205m 23s (- 2564m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.3590  loss_TTT: 0.0411  acc: 0.6044  lr: 0.0002 
ep/it:111- 136 niter: 42650  205m 37s (- 2564m 6s) completed:  7%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0408  acc: 0.6072  lr: 0.0002 
ep/it:111- 186 niter: 42700  205m 51s (- 2563m 43s) completed:  7%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0403  acc: 0.6088  lr: 0.0002 
ep/it:111- 236 niter: 42750  206m 4s (- 2563m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.3247  loss_TTT: 0.0402  acc: 0.6135  lr: 0.0002 
ep/it:111- 286 niter: 42800  206m 18s (- 2562m 53s) completed:  7%) loss_emb: 0.0000  loss: 1.3348  loss_TTT: 0.0423  acc: 0.6102  lr: 0.0002 
ep/it:111- 336 niter: 42850  206m 31s (- 2562m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.3405  loss_TTT: 0.0416  acc: 0.6105  lr: 0.0002 
Validation time:
Validation loss:1.525, accuracy:0.577
ep/it:112-   3 niter: 42900  206m 48s (- 2562m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.3142  loss_TTT: 0.0358  acc: 0.6165  lr: 0.0002 
ep/it:112-  53 niter: 42950  207m 2s (- 2562m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.3833  loss_TTT: 0.0419  acc: 0.5981  lr: 0.0002 
ep/it:112- 103 niter: 43000  207m 15s (- 2561m 52s) completed:  7%) loss_emb: 0.0000  loss: 1.3471  loss_TTT: 0.0396  acc: 0.6075  lr: 0.0002 
ep/it:112- 153 niter: 43050  207m 29s (- 2561m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.3612  loss_TTT: 0.0409  acc: 0.6041  lr: 0.0002 
ep/it:112- 203 niter: 43100  207m 43s (- 2561m 8s) completed:  7%) loss_emb: 0.0000  loss: 1.3295  loss_TTT: 0.0408  acc: 0.6124  lr: 0.0002 
ep/it:112- 253 niter: 43150  207m 57s (- 2560m 46s) completed:  7%) loss_emb: 0.0000  loss: 1.3169  loss_TTT: 0.0373  acc: 0.6148  lr: 0.0002 
ep/it:112- 303 niter: 43200  208m 11s (- 2560m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.3483  loss_TTT: 0.0386  acc: 0.6072  lr: 0.0002 
ep/it:112- 353 niter: 43250  208m 24s (- 2560m 0s) completed:  7%) loss_emb: 0.0000  loss: 1.3256  loss_TTT: 0.0406  acc: 0.6139  lr: 0.0002 
Validation time:
Validation loss:1.485, accuracy:0.587
ep/it:113-  20 niter: 43300  208m 40s (- 2560m 5s) completed:  7%) loss_emb: 0.0000  loss: 1.3681  loss_TTT: 0.0416  acc: 0.6018  lr: 0.0002 
ep/it:113-  70 niter: 43350  208m 54s (- 2559m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.3412  loss_TTT: 0.0405  acc: 0.6092  lr: 0.0002 
ep/it:113- 120 niter: 43400  209m 8s (- 2559m 20s) completed:  7%) loss_emb: 0.0000  loss: 1.3594  loss_TTT: 0.0400  acc: 0.6043  lr: 0.0002 
ep/it:113- 170 niter: 43450  209m 22s (- 2559m 0s) completed:  7%) loss_emb: 0.0000  loss: 1.3352  loss_TTT: 0.0399  acc: 0.6114  lr: 0.0002 
ep/it:113- 220 niter: 43500  209m 36s (- 2558m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.3230  loss_TTT: 0.0398  acc: 0.6128  lr: 0.0002 
ep/it:113- 270 niter: 43550  209m 50s (- 2558m 15s) completed:  7%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0402  acc: 0.6076  lr: 0.0002 
ep/it:113- 320 niter: 43600  210m 3s (- 2557m 51s) completed:  7%) loss_emb: 0.0000  loss: 1.3508  loss_TTT: 0.0409  acc: 0.6059  lr: 0.0002 
ep/it:113- 370 niter: 43650  210m 17s (- 2557m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.3332  loss_TTT: 0.0391  acc: 0.6116  lr: 0.0002 
Validation time:
Validation loss:1.520, accuracy:0.578
ep/it:114-  37 niter: 43700  210m 33s (- 2557m 29s) completed:  7%) loss_emb: 0.0000  loss: 1.3171  loss_TTT: 0.0396  acc: 0.6161  lr: 0.0002 
ep/it:114-  87 niter: 43750  210m 47s (- 2557m 9s) completed:  7%) loss_emb: 0.0000  loss: 1.3169  loss_TTT: 0.0399  acc: 0.6155  lr: 0.0002 
ep/it:114- 137 niter: 43800  211m 1s (- 2556m 47s) completed:  7%) loss_emb: 0.0000  loss: 1.3273  loss_TTT: 0.0415  acc: 0.6137  lr: 0.0002 
ep/it:114- 187 niter: 43850  211m 14s (- 2556m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.3308  loss_TTT: 0.0410  acc: 0.6144  lr: 0.0002 
ep/it:114- 237 niter: 43900  211m 28s (- 2556m 3s) completed:  7%) loss_emb: 0.0000  loss: 1.3586  loss_TTT: 0.0402  acc: 0.6042  lr: 0.0002 
ep/it:114- 287 niter: 43950  211m 42s (- 2555m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0396  acc: 0.6120  lr: 0.0002 
ep/it:114- 337 niter: 44000  211m 55s (- 2555m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.3509  loss_TTT: 0.0412  acc: 0.6075  lr: 0.0002 
Validation time:
Validation loss:1.434, accuracy:0.599
Improved accuracy from 0.59 to 0.5993634203205938!!!
ep/it:115-   4 niter: 44050  212m 12s (- 2555m 25s) completed:  7%) loss_emb: 0.0000  loss: 1.3165  loss_TTT: 0.0405  acc: 0.6147  lr: 0.0002 
ep/it:115-  54 niter: 44100  212m 26s (- 2555m 2s) completed:  7%) loss_emb: 0.0000  loss: 1.3327  loss_TTT: 0.0394  acc: 0.6107  lr: 0.0002 
ep/it:115- 104 niter: 44150  212m 40s (- 2554m 39s) completed:  7%) loss_emb: 0.0000  loss: 1.3642  loss_TTT: 0.0394  acc: 0.6028  lr: 0.0002 
ep/it:115- 154 niter: 44200  212m 53s (- 2554m 13s) completed:  7%) loss_emb: 0.0000  loss: 1.3475  loss_TTT: 0.0403  acc: 0.6088  lr: 0.0002 
ep/it:115- 204 niter: 44250  213m 7s (- 2553m 50s) completed:  7%) loss_emb: 0.0000  loss: 1.3133  loss_TTT: 0.0402  acc: 0.6162  lr: 0.0002 
ep/it:115- 254 niter: 44300  213m 21s (- 2553m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.3115  loss_TTT: 0.0378  acc: 0.6167  lr: 0.0002 
ep/it:115- 304 niter: 44350  213m 34s (- 2553m 1s) completed:  7%) loss_emb: 0.0000  loss: 1.3380  loss_TTT: 0.0400  acc: 0.6091  lr: 0.0002 
ep/it:115- 354 niter: 44400  213m 48s (- 2552m 37s) completed:  7%) loss_emb: 0.0000  loss: 1.3751  loss_TTT: 0.0403  acc: 0.6005  lr: 0.0002 
Validation time:
Validation loss:1.539, accuracy:0.572
ep/it:116-  21 niter: 44450  214m 4s (- 2552m 47s) completed:  7%) loss_emb: 0.0000  loss: 1.3365  loss_TTT: 0.0394  acc: 0.6100  lr: 0.0002 
ep/it:116-  71 niter: 44500  214m 18s (- 2552m 23s) completed:  7%) loss_emb: 0.0000  loss: 1.3236  loss_TTT: 0.0421  acc: 0.6144  lr: 0.0002 
ep/it:116- 121 niter: 44550  214m 32s (- 2552m 5s) completed:  7%) loss_emb: 0.0000  loss: 1.3357  loss_TTT: 0.0391  acc: 0.6116  lr: 0.0002 
ep/it:116- 171 niter: 44600  214m 46s (- 2551m 42s) completed:  7%) loss_emb: 0.0000  loss: 1.3297  loss_TTT: 0.0412  acc: 0.6112  lr: 0.0002 
ep/it:116- 221 niter: 44650  214m 59s (- 2551m 16s) completed:  7%) loss_emb: 0.0000  loss: 1.3445  loss_TTT: 0.0393  acc: 0.6084  lr: 0.0002 
ep/it:116- 271 niter: 44700  215m 13s (- 2550m 53s) completed:  7%) loss_emb: 0.0000  loss: 1.3288  loss_TTT: 0.0389  acc: 0.6122  lr: 0.0002 
ep/it:116- 321 niter: 44750  215m 27s (- 2550m 30s) completed:  7%) loss_emb: 0.0000  loss: 1.3153  loss_TTT: 0.0391  acc: 0.6168  lr: 0.0002 
ep/it:116- 371 niter: 44800  215m 40s (- 2550m 4s) completed:  7%) loss_emb: 0.0000  loss: 1.3479  loss_TTT: 0.0388  acc: 0.6074  lr: 0.0002 
Validation time:
Validation loss:1.507, accuracy:0.582
ep/it:117-  38 niter: 44850  215m 56s (- 2550m 12s) completed:  7%) loss_emb: 0.0000  loss: 1.3541  loss_TTT: 0.0393  acc: 0.6057  lr: 0.0002 
ep/it:117-  88 niter: 44900  216m 10s (- 2549m 53s) completed:  7%) loss_emb: 0.0000  loss: 1.3180  loss_TTT: 0.0382  acc: 0.6144  lr: 0.0002 
ep/it:117- 138 niter: 44950  216m 24s (- 2549m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.3472  loss_TTT: 0.0389  acc: 0.6070  lr: 0.0002 
ep/it:117- 188 niter: 45000  216m 38s (- 2549m 7s) completed:  7%) loss_emb: 0.0000  loss: 1.3290  loss_TTT: 0.0382  acc: 0.6117  lr: 0.0002 
ep/it:117- 238 niter: 45050  216m 52s (- 2548m 49s) completed:  7%) loss_emb: 0.0000  loss: 1.3364  loss_TTT: 0.0406  acc: 0.6111  lr: 0.0002 
ep/it:117- 288 niter: 45100  217m 6s (- 2548m 26s) completed:  7%) loss_emb: 0.0000  loss: 1.3408  loss_TTT: 0.0398  acc: 0.6097  lr: 0.0002 
ep/it:117- 338 niter: 45150  217m 19s (- 2547m 59s) completed:  7%) loss_emb: 0.0000  loss: 1.3630  loss_TTT: 0.0413  acc: 0.6031  lr: 0.0002 
Validation time:
Validation loss:1.484, accuracy:0.586
ep/it:118-   5 niter: 45200  217m 35s (- 2548m 2s) completed:  7%) loss_emb: 0.0000  loss: 1.3331  loss_TTT: 0.0415  acc: 0.6112  lr: 0.0002 
ep/it:118-  55 niter: 45250  217m 49s (- 2547m 40s) completed:  7%) loss_emb: 0.0000  loss: 1.3628  loss_TTT: 0.0401  acc: 0.6035  lr: 0.0002 
ep/it:118- 105 niter: 45300  218m 2s (- 2547m 14s) completed:  7%) loss_emb: 0.0000  loss: 1.3133  loss_TTT: 0.0379  acc: 0.6169  lr: 0.0002 
ep/it:118- 155 niter: 45350  218m 16s (- 2546m 55s) completed:  7%) loss_emb: 0.0000  loss: 1.3183  loss_TTT: 0.0397  acc: 0.6154  lr: 0.0002 
ep/it:118- 205 niter: 45400  218m 30s (- 2546m 36s) completed:  7%) loss_emb: 0.0000  loss: 1.3513  loss_TTT: 0.0383  acc: 0.6052  lr: 0.0002 
ep/it:118- 255 niter: 45450  218m 44s (- 2546m 10s) completed:  7%) loss_emb: 0.0000  loss: 1.3222  loss_TTT: 0.0393  acc: 0.6132  lr: 0.0002 
ep/it:118- 305 niter: 45500  218m 58s (- 2545m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.3136  loss_TTT: 0.0409  acc: 0.6163  lr: 0.0002 
ep/it:118- 355 niter: 45550  219m 12s (- 2545m 28s) completed:  7%) loss_emb: 0.0000  loss: 1.3172  loss_TTT: 0.0393  acc: 0.6153  lr: 0.0002 
Validation time:
Validation loss:1.489, accuracy:0.586
ep/it:119-  22 niter: 45600  219m 28s (- 2545m 31s) completed:  7%) loss_emb: 0.0000  loss: 1.3521  loss_TTT: 0.0392  acc: 0.6065  lr: 0.0002 
ep/it:119-  72 niter: 45650  219m 41s (- 2545m 9s) completed:  7%) loss_emb: 0.0000  loss: 1.3169  loss_TTT: 0.0404  acc: 0.6156  lr: 0.0002 
ep/it:119- 122 niter: 45700  219m 55s (- 2544m 45s) completed:  7%) loss_emb: 0.0000  loss: 1.3443  loss_TTT: 0.0389  acc: 0.6096  lr: 0.0002 
ep/it:119- 172 niter: 45750  220m 8s (- 2544m 19s) completed:  7%) loss_emb: 0.0000  loss: 1.3204  loss_TTT: 0.0369  acc: 0.6144  lr: 0.0002 
ep/it:119- 222 niter: 45800  220m 22s (- 2543m 54s) completed:  7%) loss_emb: 0.0000  loss: 1.3145  loss_TTT: 0.0379  acc: 0.6170  lr: 0.0002 
ep/it:119- 272 niter: 45850  220m 36s (- 2543m 34s) completed:  7%) loss_emb: 0.0000  loss: 1.3103  loss_TTT: 0.0396  acc: 0.6173  lr: 0.0002 
ep/it:119- 322 niter: 45900  220m 49s (- 2543m 10s) completed:  7%) loss_emb: 0.0000  loss: 1.3219  loss_TTT: 0.0388  acc: 0.6144  lr: 0.0002 
ep/it:119- 372 niter: 45950  221m 3s (- 2542m 48s) completed:  7%) loss_emb: 0.0000  loss: 1.3328  loss_TTT: 0.0403  acc: 0.6105  lr: 0.0002 
Validation time:
Validation loss:1.520, accuracy:0.579

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:13,  3.42it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.48it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.77it/s]
100%|██████████| 47/47 [00:05<00:00,  8.18it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.45168383885175 avg: 2.45168383885175
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4503466892056167 avg: 2.4510152640286833
--> 	 Eva. Repeat 22 :, FID. 0.1403, Diversity Real. 9.4174, Diversity. 9.7452, R_precision_real. [0.51367188 0.69824219 0.81445312], R_precision. [0.48242188 0.68652344 0.78613281], matching_score_real. 2.9113, matching_score_pred. 3.0747, skate_ratio. 0.0507, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5527 (traj_fail_50cm (Traj err)): 0.3291 (kps_fail_20cm): 0.3956 (kps_fail_50cm (Loc. err)): 0.2139 (kps_mean_err(m) (Avg. err)): 0.3944 
ep/it:120-  39 niter: 46000  221m 26s (- 2544m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3309  loss_TTT: 0.0392  acc: 0.6115  lr: 0.0002 
ep/it:120-  89 niter: 46050  221m 41s (- 2544m 2s) completed:  8%) loss_emb: 0.0000  loss: 1.3263  loss_TTT: 0.0396  acc: 0.6122  lr: 0.0002 
ep/it:120- 139 niter: 46100  221m 55s (- 2543m 39s) completed:  8%) loss_emb: 0.0000  loss: 1.3547  loss_TTT: 0.0399  acc: 0.6059  lr: 0.0002 
ep/it:120- 189 niter: 46150  222m 9s (- 2543m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.3520  loss_TTT: 0.0397  acc: 0.6050  lr: 0.0002 
ep/it:120- 239 niter: 46200  222m 22s (- 2542m 56s) completed:  8%) loss_emb: 0.0000  loss: 1.3447  loss_TTT: 0.0409  acc: 0.6092  lr: 0.0002 
ep/it:120- 289 niter: 46250  222m 36s (- 2542m 32s) completed:  8%) loss_emb: 0.0000  loss: 1.3139  loss_TTT: 0.0387  acc: 0.6162  lr: 0.0002 
ep/it:120- 339 niter: 46300  222m 50s (- 2542m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.3576  loss_TTT: 0.0366  acc: 0.6043  lr: 0.0002 
Validation time:
Validation loss:1.464, accuracy:0.591
ep/it:121-   6 niter: 46350  223m 6s (- 2542m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.3321  loss_TTT: 0.0381  acc: 0.6114  lr: 0.0002 
ep/it:121-  56 niter: 46400  223m 20s (- 2541m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.3106  loss_TTT: 0.0381  acc: 0.6163  lr: 0.0002 
ep/it:121- 106 niter: 46450  223m 34s (- 2541m 35s) completed:  8%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0408  acc: 0.6024  lr: 0.0002 
ep/it:121- 156 niter: 46500  223m 48s (- 2541m 16s) completed:  8%) loss_emb: 0.0000  loss: 1.3332  loss_TTT: 0.0380  acc: 0.6111  lr: 0.0002 
ep/it:121- 206 niter: 46550  224m 2s (- 2540m 58s) completed:  8%) loss_emb: 0.0000  loss: 1.3404  loss_TTT: 0.0382  acc: 0.6077  lr: 0.0002 
ep/it:121- 256 niter: 46600  224m 16s (- 2540m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.3530  loss_TTT: 0.0404  acc: 0.6061  lr: 0.0002 
ep/it:121- 306 niter: 46650  224m 29s (- 2540m 14s) completed:  8%) loss_emb: 0.0000  loss: 1.3453  loss_TTT: 0.0408  acc: 0.6078  lr: 0.0002 
ep/it:121- 356 niter: 46700  224m 43s (- 2539m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.3319  loss_TTT: 0.0385  acc: 0.6109  lr: 0.0002 
Validation time:
Validation loss:1.486, accuracy:0.586
ep/it:122-  23 niter: 46750  224m 59s (- 2539m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0421  acc: 0.6051  lr: 0.0002 
ep/it:122-  73 niter: 46800  225m 13s (- 2539m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.3425  loss_TTT: 0.0390  acc: 0.6089  lr: 0.0002 
ep/it:122- 123 niter: 46850  225m 26s (- 2539m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.3356  loss_TTT: 0.0401  acc: 0.6103  lr: 0.0002 
ep/it:122- 173 niter: 46900  225m 40s (- 2538m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.3400  loss_TTT: 0.0404  acc: 0.6090  lr: 0.0002 
ep/it:122- 223 niter: 46950  225m 53s (- 2538m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.3131  loss_TTT: 0.0402  acc: 0.6170  lr: 0.0002 
ep/it:122- 273 niter: 47000  226m 7s (- 2537m 51s) completed:  8%) loss_emb: 0.0000  loss: 1.3343  loss_TTT: 0.0393  acc: 0.6106  lr: 0.0002 
ep/it:122- 323 niter: 47050  226m 21s (- 2537m 34s) completed:  8%) loss_emb: 0.0000  loss: 1.3352  loss_TTT: 0.0398  acc: 0.6120  lr: 0.0002 
ep/it:122- 373 niter: 47100  226m 35s (- 2537m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3480  loss_TTT: 0.0390  acc: 0.6073  lr: 0.0002 
Validation time:
Validation loss:1.505, accuracy:0.579
ep/it:123-  40 niter: 47150  226m 51s (- 2537m 19s) completed:  8%) loss_emb: 0.0000  loss: 1.3051  loss_TTT: 0.0368  acc: 0.6189  lr: 0.0002 
ep/it:123-  90 niter: 47200  227m 6s (- 2537m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.3473  loss_TTT: 0.0378  acc: 0.6062  lr: 0.0002 
ep/it:123- 140 niter: 47250  227m 20s (- 2536m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.3281  loss_TTT: 0.0399  acc: 0.6124  lr: 0.0002 
ep/it:123- 190 niter: 47300  227m 33s (- 2536m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.3420  loss_TTT: 0.0366  acc: 0.6082  lr: 0.0002 
ep/it:123- 240 niter: 47350  227m 47s (- 2535m 57s) completed:  8%) loss_emb: 0.0000  loss: 1.3449  loss_TTT: 0.0413  acc: 0.6074  lr: 0.0002 
ep/it:123- 290 niter: 47400  228m 0s (- 2535m 34s) completed:  8%) loss_emb: 0.0000  loss: 1.3096  loss_TTT: 0.0389  acc: 0.6161  lr: 0.0002 
ep/it:123- 340 niter: 47450  228m 14s (- 2535m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.3404  loss_TTT: 0.0397  acc: 0.6094  lr: 0.0002 
Validation time:
Validation loss:1.516, accuracy:0.577
ep/it:124-   7 niter: 47500  228m 30s (- 2535m 12s) completed:  8%) loss_emb: 0.0000  loss: 1.3268  loss_TTT: 0.0405  acc: 0.6134  lr: 0.0002 
ep/it:124-  57 niter: 47550  228m 44s (- 2534m 58s) completed:  8%) loss_emb: 0.0000  loss: 1.3544  loss_TTT: 0.0378  acc: 0.6058  lr: 0.0002 
ep/it:124- 107 niter: 47600  228m 58s (- 2534m 38s) completed:  8%) loss_emb: 0.0000  loss: 1.3052  loss_TTT: 0.0391  acc: 0.6168  lr: 0.0002 
ep/it:124- 157 niter: 47650  229m 12s (- 2534m 13s) completed:  8%) loss_emb: 0.0000  loss: 1.3251  loss_TTT: 0.0412  acc: 0.6133  lr: 0.0002 
ep/it:124- 207 niter: 47700  229m 25s (- 2533m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.3051  loss_TTT: 0.0397  acc: 0.6175  lr: 0.0002 
ep/it:124- 257 niter: 47750  229m 39s (- 2533m 28s) completed:  8%) loss_emb: 0.0000  loss: 1.3200  loss_TTT: 0.0392  acc: 0.6147  lr: 0.0002 
ep/it:124- 307 niter: 47800  229m 52s (- 2533m 2s) completed:  8%) loss_emb: 0.0000  loss: 1.3560  loss_TTT: 0.0397  acc: 0.6057  lr: 0.0002 
ep/it:124- 357 niter: 47850  230m 6s (- 2532m 40s) completed:  8%) loss_emb: 0.0000  loss: 1.3500  loss_TTT: 0.0381  acc: 0.6048  lr: 0.0002 
Validation time:
Validation loss:1.477, accuracy:0.589
ep/it:125-  24 niter: 47900  230m 23s (- 2532m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0397  acc: 0.6234  lr: 0.0002 
ep/it:125-  74 niter: 47950  230m 36s (- 2532m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3259  loss_TTT: 0.0390  acc: 0.6141  lr: 0.0002 
ep/it:125- 124 niter: 48000  230m 51s (- 2532m 8s) completed:  8%) loss_emb: 0.0000  loss: 1.3303  loss_TTT: 0.0397  acc: 0.6133  lr: 0.0002 
ep/it:125- 174 niter: 48050  231m 5s (- 2531m 51s) completed:  8%) loss_emb: 0.0000  loss: 1.3358  loss_TTT: 0.0414  acc: 0.6103  lr: 0.0002 
ep/it:125- 224 niter: 48100  231m 19s (- 2531m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.3471  loss_TTT: 0.0392  acc: 0.6077  lr: 0.0002 
ep/it:125- 274 niter: 48150  231m 33s (- 2531m 11s) completed:  8%) loss_emb: 0.0000  loss: 1.3308  loss_TTT: 0.0395  acc: 0.6102  lr: 0.0002 
ep/it:125- 324 niter: 48200  231m 46s (- 2530m 50s) completed:  8%) loss_emb: 0.0000  loss: 1.3112  loss_TTT: 0.0375  acc: 0.6155  lr: 0.0002 
ep/it:125- 374 niter: 48250  232m 0s (- 2530m 30s) completed:  8%) loss_emb: 0.0000  loss: 1.3314  loss_TTT: 0.0397  acc: 0.6119  lr: 0.0002 
Validation time:
Validation loss:1.482, accuracy:0.586
ep/it:126-  41 niter: 48300  232m 17s (- 2530m 44s) completed:  8%) loss_emb: 0.0000  loss: 1.3444  loss_TTT: 0.0384  acc: 0.6078  lr: 0.0002 
ep/it:126-  91 niter: 48350  232m 31s (- 2530m 22s) completed:  8%) loss_emb: 0.0000  loss: 1.3461  loss_TTT: 0.0395  acc: 0.6066  lr: 0.0002 
ep/it:126- 141 niter: 48400  232m 45s (- 2529m 58s) completed:  8%) loss_emb: 0.0000  loss: 1.3174  loss_TTT: 0.0402  acc: 0.6151  lr: 0.0002 
ep/it:126- 191 niter: 48450  232m 58s (- 2529m 37s) completed:  8%) loss_emb: 0.0000  loss: 1.3650  loss_TTT: 0.0409  acc: 0.6037  lr: 0.0002 
ep/it:126- 241 niter: 48500  233m 12s (- 2529m 14s) completed:  8%) loss_emb: 0.0000  loss: 1.3398  loss_TTT: 0.0377  acc: 0.6092  lr: 0.0002 
ep/it:126- 291 niter: 48550  233m 26s (- 2528m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.3580  loss_TTT: 0.0410  acc: 0.6048  lr: 0.0002 
ep/it:126- 341 niter: 48600  233m 40s (- 2528m 34s) completed:  8%) loss_emb: 0.0000  loss: 1.3426  loss_TTT: 0.0410  acc: 0.6090  lr: 0.0002 
Validation time:
Validation loss:1.491, accuracy:0.586
ep/it:127-   8 niter: 48650  233m 57s (- 2528m 43s) completed:  8%) loss_emb: 0.0000  loss: 1.3421  loss_TTT: 0.0401  acc: 0.6083  lr: 0.0002 
ep/it:127-  58 niter: 48700  234m 11s (- 2528m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3231  loss_TTT: 0.0406  acc: 0.6140  lr: 0.0002 
ep/it:127- 108 niter: 48750  234m 25s (- 2528m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.3289  loss_TTT: 0.0395  acc: 0.6118  lr: 0.0002 
ep/it:127- 158 niter: 48800  234m 39s (- 2527m 47s) completed:  8%) loss_emb: 0.0000  loss: 1.3361  loss_TTT: 0.0421  acc: 0.6103  lr: 0.0002 
ep/it:127- 208 niter: 48850  234m 52s (- 2527m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.3283  loss_TTT: 0.0391  acc: 0.6130  lr: 0.0002 
ep/it:127- 258 niter: 48900  235m 6s (- 2527m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.3641  loss_TTT: 0.0415  acc: 0.6031  lr: 0.0002 
ep/it:127- 308 niter: 48950  235m 20s (- 2526m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.3339  loss_TTT: 0.0383  acc: 0.6118  lr: 0.0002 
ep/it:127- 358 niter: 49000  235m 33s (- 2526m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.3273  loss_TTT: 0.0392  acc: 0.6122  lr: 0.0002 
Validation time:
Validation loss:1.501, accuracy:0.582
ep/it:128-  25 niter: 49050  235m 50s (- 2526m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3198  loss_TTT: 0.0406  acc: 0.6129  lr: 0.0002 
ep/it:128-  75 niter: 49100  236m 4s (- 2526m 5s) completed:  8%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0412  acc: 0.6062  lr: 0.0002 
ep/it:128- 125 niter: 49150  236m 17s (- 2525m 44s) completed:  8%) loss_emb: 0.0000  loss: 1.3367  loss_TTT: 0.0404  acc: 0.6107  lr: 0.0002 
ep/it:128- 175 niter: 49200  236m 31s (- 2525m 20s) completed:  8%) loss_emb: 0.0000  loss: 1.3179  loss_TTT: 0.0377  acc: 0.6151  lr: 0.0002 
ep/it:128- 225 niter: 49250  236m 45s (- 2525m 3s) completed:  8%) loss_emb: 0.0000  loss: 1.3266  loss_TTT: 0.0389  acc: 0.6133  lr: 0.0002 
ep/it:128- 275 niter: 49300  236m 59s (- 2524m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.3332  loss_TTT: 0.0408  acc: 0.6105  lr: 0.0002 
ep/it:128- 325 niter: 49350  237m 13s (- 2524m 21s) completed:  8%) loss_emb: 0.0000  loss: 1.3485  loss_TTT: 0.0397  acc: 0.6063  lr: 0.0002 
ep/it:128- 375 niter: 49400  237m 27s (- 2524m 0s) completed:  8%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0380  acc: 0.6166  lr: 0.0002 
Validation time:
Validation loss:1.455, accuracy:0.594
ep/it:129-  42 niter: 49450  237m 43s (- 2524m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.3171  loss_TTT: 0.0380  acc: 0.6139  lr: 0.0002 
ep/it:129-  92 niter: 49500  237m 57s (- 2523m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.3297  loss_TTT: 0.0384  acc: 0.6120  lr: 0.0002 
ep/it:129- 142 niter: 49550  238m 11s (- 2523m 24s) completed:  8%) loss_emb: 0.0000  loss: 1.3367  loss_TTT: 0.0433  acc: 0.6114  lr: 0.0002 
ep/it:129- 192 niter: 49600  238m 24s (- 2523m 4s) completed:  8%) loss_emb: 0.0000  loss: 1.3294  loss_TTT: 0.0404  acc: 0.6119  lr: 0.0002 
ep/it:129- 242 niter: 49650  238m 38s (- 2522m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.3254  loss_TTT: 0.0409  acc: 0.6126  lr: 0.0002 
ep/it:129- 292 niter: 49700  238m 52s (- 2522m 20s) completed:  8%) loss_emb: 0.0000  loss: 1.3096  loss_TTT: 0.0401  acc: 0.6183  lr: 0.0002 
ep/it:129- 342 niter: 49750  239m 6s (- 2521m 58s) completed:  8%) loss_emb: 0.0000  loss: 1.3130  loss_TTT: 0.0403  acc: 0.6160  lr: 0.0002 
Validation time:
Validation loss:1.550, accuracy:0.571

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.14it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.35it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.64it/s]
100%|██████████| 47/47 [00:05<00:00,  7.96it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4917213832959533 avg: 2.4917213832959533
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.450135256163776 avg: 2.4709283197298646
--> 	 Eva. Repeat 22 :, FID. 0.1260, Diversity Real. 9.5965, Diversity. 9.5948, R_precision_real. [0.52050781 0.69824219 0.78710938], R_precision. [0.50390625 0.69628906 0.77929688], matching_score_real. 2.8782, matching_score_pred. 3.0333, skate_ratio. 0.0395, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5264 (traj_fail_50cm (Traj err)): 0.3193 (kps_fail_20cm): 0.3786 (kps_fail_50cm (Loc. err)): 0.2129 (kps_mean_err(m) (Avg. err)): 0.3857 
ep/it:130-   9 niter: 49800  239m 29s (- 2523m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3529  loss_TTT: 0.0421  acc: 0.6071  lr: 0.0002 
ep/it:130-  59 niter: 49850  239m 42s (- 2522m 51s) completed:  8%) loss_emb: 0.0000  loss: 1.3591  loss_TTT: 0.0395  acc: 0.6047  lr: 0.0002 
ep/it:130- 109 niter: 49900  239m 56s (- 2522m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.3496  loss_TTT: 0.0416  acc: 0.6056  lr: 0.0002 
ep/it:130- 159 niter: 49950  240m 10s (- 2522m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3372  loss_TTT: 0.0392  acc: 0.6092  lr: 0.0002 
ep/it:130- 209 niter: 50000  240m 24s (- 2521m 52s) completed:  8%) loss_emb: 0.0000  loss: 1.3284  loss_TTT: 0.0403  acc: 0.6111  lr: 0.0002 
ep/it:130- 259 niter: 50050  240m 38s (- 2521m 32s) completed:  8%) loss_emb: 0.0000  loss: 1.3205  loss_TTT: 0.0391  acc: 0.6145  lr: 0.0000 
ep/it:130- 309 niter: 50100  240m 52s (- 2521m 10s) completed:  8%) loss_emb: 0.0000  loss: 1.2922  loss_TTT: 0.0386  acc: 0.6203  lr: 0.0000 
ep/it:130- 359 niter: 50150  241m 5s (- 2520m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.3137  loss_TTT: 0.0379  acc: 0.6152  lr: 0.0000 
Validation time:
Validation loss:1.488, accuracy:0.584
ep/it:131-  26 niter: 50200  241m 21s (- 2520m 51s) completed:  8%) loss_emb: 0.0000  loss: 1.3136  loss_TTT: 0.0383  acc: 0.6156  lr: 0.0000 
ep/it:131-  76 niter: 50250  241m 35s (- 2520m 29s) completed:  8%) loss_emb: 0.0000  loss: 1.2846  loss_TTT: 0.0370  acc: 0.6225  lr: 0.0000 
ep/it:131- 126 niter: 50300  241m 48s (- 2520m 3s) completed:  8%) loss_emb: 0.0000  loss: 1.3178  loss_TTT: 0.0388  acc: 0.6146  lr: 0.0000 
ep/it:131- 176 niter: 50350  242m 2s (- 2519m 41s) completed:  8%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0380  acc: 0.6205  lr: 0.0000 
ep/it:131- 226 niter: 50400  242m 16s (- 2519m 18s) completed:  8%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0370  acc: 0.6248  lr: 0.0000 
ep/it:131- 276 niter: 50450  242m 29s (- 2518m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.3096  loss_TTT: 0.0395  acc: 0.6168  lr: 0.0000 
ep/it:131- 326 niter: 50500  242m 43s (- 2518m 33s) completed:  8%) loss_emb: 0.0000  loss: 1.3333  loss_TTT: 0.0373  acc: 0.6103  lr: 0.0000 
ep/it:131- 376 niter: 50550  242m 57s (- 2518m 15s) completed:  8%) loss_emb: 0.0000  loss: 1.3181  loss_TTT: 0.0399  acc: 0.6140  lr: 0.0000 
Validation time:
Validation loss:1.478, accuracy:0.587
ep/it:132-  43 niter: 50600  243m 13s (- 2518m 17s) completed:  8%) loss_emb: 0.0000  loss: 1.3223  loss_TTT: 0.0372  acc: 0.6129  lr: 0.0000 
ep/it:132-  93 niter: 50650  243m 27s (- 2517m 55s) completed:  8%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0375  acc: 0.6212  lr: 0.0000 
ep/it:132- 143 niter: 50700  243m 40s (- 2517m 32s) completed:  8%) loss_emb: 0.0000  loss: 1.2975  loss_TTT: 0.0356  acc: 0.6192  lr: 0.0000 
ep/it:132- 193 niter: 50750  243m 54s (- 2517m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.2917  loss_TTT: 0.0372  acc: 0.6205  lr: 0.0000 
ep/it:132- 243 niter: 50800  244m 7s (- 2516m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.3032  loss_TTT: 0.0378  acc: 0.6194  lr: 0.0000 
ep/it:132- 293 niter: 50850  244m 22s (- 2516m 31s) completed:  8%) loss_emb: 0.0000  loss: 1.2987  loss_TTT: 0.0388  acc: 0.6174  lr: 0.0000 
ep/it:132- 343 niter: 50900  244m 36s (- 2516m 10s) completed:  8%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0383  acc: 0.6154  lr: 0.0000 
Validation time:
Validation loss:1.500, accuracy:0.580
ep/it:133-  10 niter: 50950  244m 52s (- 2516m 12s) completed:  8%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0377  acc: 0.6169  lr: 0.0000 
ep/it:133-  60 niter: 51000  245m 5s (- 2515m 49s) completed:  8%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0369  acc: 0.6253  lr: 0.0000 
ep/it:133- 110 niter: 51050  245m 19s (- 2515m 33s) completed:  8%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0377  acc: 0.6239  lr: 0.0000 
ep/it:133- 160 niter: 51100  245m 33s (- 2515m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0374  acc: 0.6213  lr: 0.0000 
ep/it:133- 210 niter: 51150  245m 47s (- 2514m 46s) completed:  8%) loss_emb: 0.0000  loss: 1.3076  loss_TTT: 0.0365  acc: 0.6173  lr: 0.0000 
ep/it:133- 260 niter: 51200  246m 0s (- 2514m 25s) completed:  8%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0360  acc: 0.6281  lr: 0.0000 
ep/it:133- 310 niter: 51250  246m 14s (- 2514m 2s) completed:  8%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0362  acc: 0.6282  lr: 0.0000 
ep/it:133- 360 niter: 51300  246m 28s (- 2513m 42s) completed:  8%) loss_emb: 0.0000  loss: 1.3028  loss_TTT: 0.0357  acc: 0.6177  lr: 0.0000 
Validation time:
Validation loss:1.474, accuracy:0.589
ep/it:134-  27 niter: 51350  246m 44s (- 2513m 45s) completed:  8%) loss_emb: 0.0000  loss: 1.2917  loss_TTT: 0.0358  acc: 0.6205  lr: 0.0000 
ep/it:134-  77 niter: 51400  246m 57s (- 2513m 22s) completed:  8%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0390  acc: 0.6222  lr: 0.0000 
ep/it:134- 127 niter: 51450  247m 12s (- 2513m 7s) completed:  8%) loss_emb: 0.0000  loss: 1.3097  loss_TTT: 0.0375  acc: 0.6156  lr: 0.0000 
ep/it:134- 177 niter: 51500  247m 26s (- 2512m 49s) completed:  8%) loss_emb: 0.0000  loss: 1.2963  loss_TTT: 0.0369  acc: 0.6193  lr: 0.0000 
ep/it:134- 227 niter: 51550  247m 40s (- 2512m 29s) completed:  8%) loss_emb: 0.0000  loss: 1.2859  loss_TTT: 0.0366  acc: 0.6226  lr: 0.0000 
ep/it:134- 277 niter: 51600  247m 54s (- 2512m 9s) completed:  8%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0375  acc: 0.6209  lr: 0.0000 
ep/it:134- 327 niter: 51650  248m 7s (- 2511m 48s) completed:  8%) loss_emb: 0.0000  loss: 1.3172  loss_TTT: 0.0370  acc: 0.6129  lr: 0.0000 
ep/it:134- 377 niter: 51700  248m 21s (- 2511m 23s) completed:  8%) loss_emb: 0.0000  loss: 1.2897  loss_TTT: 0.0359  acc: 0.6213  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.591
ep/it:135-  44 niter: 51750  248m 37s (- 2511m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0348  acc: 0.6193  lr: 0.0000 
ep/it:135-  94 niter: 51800  248m 50s (- 2511m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.3222  loss_TTT: 0.0352  acc: 0.6109  lr: 0.0000 
ep/it:135- 144 niter: 51850  249m 4s (- 2510m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0372  acc: 0.6215  lr: 0.0000 
ep/it:135- 194 niter: 51900  249m 18s (- 2510m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.2953  loss_TTT: 0.0365  acc: 0.6205  lr: 0.0000 
ep/it:135- 244 niter: 51950  249m 32s (- 2510m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.3243  loss_TTT: 0.0363  acc: 0.6122  lr: 0.0000 
ep/it:135- 294 niter: 52000  249m 45s (- 2509m 35s) completed:  9%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0389  acc: 0.6230  lr: 0.0000 
ep/it:135- 344 niter: 52050  249m 59s (- 2509m 18s) completed:  9%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0365  acc: 0.6225  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.586
ep/it:136-  11 niter: 52100  250m 15s (- 2509m 22s) completed:  9%) loss_emb: 0.0000  loss: 1.2873  loss_TTT: 0.0373  acc: 0.6216  lr: 0.0000 
ep/it:136-  61 niter: 52150  250m 29s (- 2509m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.3034  loss_TTT: 0.0377  acc: 0.6177  lr: 0.0000 
ep/it:136- 111 niter: 52200  250m 43s (- 2508m 37s) completed:  9%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0379  acc: 0.6145  lr: 0.0000 
ep/it:136- 161 niter: 52250  250m 56s (- 2508m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.2924  loss_TTT: 0.0367  acc: 0.6198  lr: 0.0000 
ep/it:136- 211 niter: 52300  251m 10s (- 2507m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.3047  loss_TTT: 0.0367  acc: 0.6172  lr: 0.0000 
ep/it:136- 261 niter: 52350  251m 23s (- 2507m 28s) completed:  9%) loss_emb: 0.0000  loss: 1.3107  loss_TTT: 0.0370  acc: 0.6157  lr: 0.0000 
ep/it:136- 311 niter: 52400  251m 37s (- 2507m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.2999  loss_TTT: 0.0359  acc: 0.6183  lr: 0.0000 
ep/it:136- 361 niter: 52450  251m 50s (- 2506m 41s) completed:  9%) loss_emb: 0.0000  loss: 1.2972  loss_TTT: 0.0375  acc: 0.6186  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.591
ep/it:137-  28 niter: 52500  252m 6s (- 2506m 43s) completed:  9%) loss_emb: 0.0000  loss: 1.3001  loss_TTT: 0.0357  acc: 0.6183  lr: 0.0000 
ep/it:137-  78 niter: 52550  252m 20s (- 2506m 26s) completed:  9%) loss_emb: 0.0000  loss: 1.3159  loss_TTT: 0.0364  acc: 0.6139  lr: 0.0000 
ep/it:137- 128 niter: 52600  252m 34s (- 2506m 5s) completed:  9%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0369  acc: 0.6249  lr: 0.0000 
ep/it:137- 178 niter: 52650  252m 47s (- 2505m 39s) completed:  9%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0391  acc: 0.6299  lr: 0.0000 
ep/it:137- 228 niter: 52700  253m 1s (- 2505m 16s) completed:  9%) loss_emb: 0.0000  loss: 1.3110  loss_TTT: 0.0385  acc: 0.6159  lr: 0.0000 
ep/it:137- 278 niter: 52750  253m 15s (- 2504m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.2797  loss_TTT: 0.0345  acc: 0.6227  lr: 0.0000 
ep/it:137- 328 niter: 52800  253m 28s (- 2504m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.2821  loss_TTT: 0.0371  acc: 0.6234  lr: 0.0000 
ep/it:137- 378 niter: 52850  253m 42s (- 2504m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0359  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.597
ep/it:138-  45 niter: 52900  253m 58s (- 2504m 12s) completed:  9%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0392  acc: 0.6204  lr: 0.0000 
ep/it:138-  95 niter: 52950  254m 11s (- 2503m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.2998  loss_TTT: 0.0399  acc: 0.6179  lr: 0.0000 
ep/it:138- 145 niter: 53000  254m 25s (- 2503m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.2963  loss_TTT: 0.0366  acc: 0.6187  lr: 0.0000 
ep/it:138- 195 niter: 53050  254m 39s (- 2503m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0359  acc: 0.6264  lr: 0.0000 
ep/it:138- 245 niter: 53100  254m 52s (- 2502m 44s) completed:  9%) loss_emb: 0.0000  loss: 1.2994  loss_TTT: 0.0371  acc: 0.6180  lr: 0.0000 
ep/it:138- 295 niter: 53150  255m 6s (- 2502m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0364  acc: 0.6190  lr: 0.0000 
ep/it:138- 345 niter: 53200  255m 20s (- 2502m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.3100  loss_TTT: 0.0363  acc: 0.6150  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.590
ep/it:139-  12 niter: 53250  255m 36s (- 2502m 3s) completed:  9%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0377  acc: 0.6264  lr: 0.0000 
ep/it:139-  62 niter: 53300  255m 50s (- 2501m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0374  acc: 0.6201  lr: 0.0000 
ep/it:139- 112 niter: 53350  256m 3s (- 2501m 20s) completed:  9%) loss_emb: 0.0000  loss: 1.3104  loss_TTT: 0.0373  acc: 0.6157  lr: 0.0000 
ep/it:139- 162 niter: 53400  256m 16s (- 2500m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0368  acc: 0.6266  lr: 0.0000 
ep/it:139- 212 niter: 53450  256m 30s (- 2500m 33s) completed:  9%) loss_emb: 0.0000  loss: 1.2856  loss_TTT: 0.0366  acc: 0.6220  lr: 0.0000 
ep/it:139- 262 niter: 53500  256m 44s (- 2500m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.2969  loss_TTT: 0.0359  acc: 0.6197  lr: 0.0000 
ep/it:139- 312 niter: 53550  256m 58s (- 2499m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.3069  loss_TTT: 0.0378  acc: 0.6155  lr: 0.0000 
ep/it:139- 362 niter: 53600  257m 11s (- 2499m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0364  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.590

  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,  5.69it/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:  2.488110024947673 avg: 2.488110024947673
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.450385343283415 avg: 2.469247684115544
--> 	 Eva. Repeat 22 :, FID. 0.1149, Diversity Real. 9.5262, Diversity. 9.6918, R_precision_real. [0.53222656 0.71777344 0.80175781], R_precision. [0.5234375  0.71191406 0.80371094], matching_score_real. 2.8767, matching_score_pred. 2.9311, skate_ratio. 0.0419, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5117 (traj_fail_50cm (Traj err)): 0.2832 (kps_fail_20cm): 0.3716 (kps_fail_50cm (Loc. err)): 0.1891 (kps_mean_err(m) (Avg. err)): 0.3747 
ep/it:140-  29 niter: 53650  257m 34s (- 2500m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0368  acc: 0.6203  lr: 0.0000 
ep/it:140-  79 niter: 53700  257m 48s (- 2500m 19s) completed:  9%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0353  acc: 0.6194  lr: 0.0000 
ep/it:140- 129 niter: 53750  258m 1s (- 2499m 54s) completed:  9%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0356  acc: 0.6262  lr: 0.0000 
ep/it:140- 179 niter: 53800  258m 15s (- 2499m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.2901  loss_TTT: 0.0367  acc: 0.6201  lr: 0.0000 
ep/it:140- 229 niter: 53850  258m 29s (- 2499m 11s) completed:  9%) loss_emb: 0.0000  loss: 1.3153  loss_TTT: 0.0369  acc: 0.6141  lr: 0.0000 
ep/it:140- 279 niter: 53900  258m 42s (- 2498m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0356  acc: 0.6221  lr: 0.0000 
ep/it:140- 329 niter: 53950  258m 56s (- 2498m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0356  acc: 0.6231  lr: 0.0000 
ep/it:140- 379 niter: 54000  259m 10s (- 2498m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.2962  loss_TTT: 0.0372  acc: 0.6201  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.602
Improved accuracy from 0.60 to 0.6015235859414806!!!
ep/it:141-  46 niter: 54050  259m 27s (- 2498m 16s) completed:  9%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0356  acc: 0.6246  lr: 0.0000 
ep/it:141-  96 niter: 54100  259m 40s (- 2497m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0361  acc: 0.6250  lr: 0.0000 
ep/it:141- 146 niter: 54150  259m 54s (- 2497m 30s) completed:  9%) loss_emb: 0.0000  loss: 1.3006  loss_TTT: 0.0348  acc: 0.6186  lr: 0.0000 
ep/it:141- 196 niter: 54200  260m 7s (- 2497m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.3004  loss_TTT: 0.0362  acc: 0.6182  lr: 0.0000 
ep/it:141- 246 niter: 54250  260m 20s (- 2496m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.2988  loss_TTT: 0.0352  acc: 0.6182  lr: 0.0000 
ep/it:141- 296 niter: 54300  260m 34s (- 2496m 21s) completed:  9%) loss_emb: 0.0000  loss: 1.3161  loss_TTT: 0.0382  acc: 0.6131  lr: 0.0000 
ep/it:141- 346 niter: 54350  260m 47s (- 2495m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0368  acc: 0.6232  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.593
ep/it:142-  13 niter: 54400  261m 4s (- 2495m 59s) completed:  9%) loss_emb: 0.0000  loss: 1.3029  loss_TTT: 0.0362  acc: 0.6172  lr: 0.0000 
ep/it:142-  63 niter: 54450  261m 18s (- 2495m 40s) completed:  9%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0359  acc: 0.6228  lr: 0.0000 
ep/it:142- 113 niter: 54500  261m 31s (- 2495m 16s) completed:  9%) loss_emb: 0.0000  loss: 1.3041  loss_TTT: 0.0367  acc: 0.6164  lr: 0.0000 
ep/it:142- 163 niter: 54550  261m 45s (- 2494m 57s) completed:  9%) loss_emb: 0.0000  loss: 1.2975  loss_TTT: 0.0362  acc: 0.6184  lr: 0.0000 
ep/it:142- 213 niter: 54600  261m 59s (- 2494m 36s) completed:  9%) loss_emb: 0.0000  loss: 1.3184  loss_TTT: 0.0369  acc: 0.6138  lr: 0.0000 
ep/it:142- 263 niter: 54650  262m 12s (- 2494m 11s) completed:  9%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0372  acc: 0.6234  lr: 0.0000 
ep/it:142- 313 niter: 54700  262m 25s (- 2493m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0354  acc: 0.6253  lr: 0.0000 
ep/it:142- 363 niter: 54750  262m 39s (- 2493m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.3006  loss_TTT: 0.0373  acc: 0.6184  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.591
ep/it:143-  30 niter: 54800  262m 55s (- 2493m 31s) completed:  9%) loss_emb: 0.0000  loss: 1.3211  loss_TTT: 0.0377  acc: 0.6117  lr: 0.0000 
ep/it:143-  80 niter: 54850  263m 9s (- 2493m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.2956  loss_TTT: 0.0354  acc: 0.6178  lr: 0.0000 
ep/it:143- 130 niter: 54900  263m 23s (- 2492m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.3190  loss_TTT: 0.0358  acc: 0.6120  lr: 0.0000 
ep/it:143- 180 niter: 54950  263m 36s (- 2492m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.3312  loss_TTT: 0.0364  acc: 0.6088  lr: 0.0000 
ep/it:143- 230 niter: 55000  263m 50s (- 2492m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.3068  loss_TTT: 0.0364  acc: 0.6172  lr: 0.0000 
ep/it:143- 280 niter: 55050  264m 4s (- 2491m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0346  acc: 0.6194  lr: 0.0000 
ep/it:143- 330 niter: 55100  264m 17s (- 2491m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.3013  loss_TTT: 0.0377  acc: 0.6174  lr: 0.0000 
ep/it:143- 380 niter: 55150  264m 31s (- 2491m 0s) completed:  9%) loss_emb: 0.0000  loss: 1.3029  loss_TTT: 0.0358  acc: 0.6167  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.600
ep/it:144-  47 niter: 55200  264m 47s (- 2491m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.3080  loss_TTT: 0.0384  acc: 0.6151  lr: 0.0000 
ep/it:144-  97 niter: 55250  265m 1s (- 2490m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.3103  loss_TTT: 0.0366  acc: 0.6162  lr: 0.0000 
ep/it:144- 147 niter: 55300  265m 15s (- 2490m 23s) completed:  9%) loss_emb: 0.0000  loss: 1.3047  loss_TTT: 0.0368  acc: 0.6154  lr: 0.0000 
ep/it:144- 197 niter: 55350  265m 28s (- 2490m 2s) completed:  9%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0359  acc: 0.6259  lr: 0.0000 
ep/it:144- 247 niter: 55400  265m 42s (- 2489m 44s) completed:  9%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0377  acc: 0.6217  lr: 0.0000 
ep/it:144- 297 niter: 55450  265m 56s (- 2489m 26s) completed:  9%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0368  acc: 0.6242  lr: 0.0000 
ep/it:144- 347 niter: 55500  266m 10s (- 2489m 7s) completed:  9%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0358  acc: 0.6218  lr: 0.0000 
Validation time:
Validation loss:1.509, accuracy:0.579
ep/it:145-  14 niter: 55550  266m 27s (- 2489m 13s) completed:  9%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0368  acc: 0.6258  lr: 0.0000 
ep/it:145-  64 niter: 55600  266m 40s (- 2488m 49s) completed:  9%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0366  acc: 0.6171  lr: 0.0000 
ep/it:145- 114 niter: 55650  266m 54s (- 2488m 34s) completed:  9%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0359  acc: 0.6195  lr: 0.0000 
ep/it:145- 164 niter: 55700  267m 8s (- 2488m 14s) completed:  9%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0368  acc: 0.6205  lr: 0.0000 
ep/it:145- 214 niter: 55750  267m 22s (- 2487m 51s) completed:  9%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0360  acc: 0.6233  lr: 0.0000 
ep/it:145- 264 niter: 55800  267m 36s (- 2487m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0362  acc: 0.6284  lr: 0.0000 
ep/it:145- 314 niter: 55850  267m 49s (- 2487m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0355  acc: 0.6205  lr: 0.0000 
ep/it:145- 364 niter: 55900  268m 3s (- 2486m 46s) completed:  9%) loss_emb: 0.0000  loss: 1.2944  loss_TTT: 0.0362  acc: 0.6190  lr: 0.0000 
Validation time:
Validation loss:1.456, accuracy:0.592
ep/it:146-  31 niter: 55950  268m 19s (- 2486m 48s) completed:  9%) loss_emb: 0.0000  loss: 1.3062  loss_TTT: 0.0352  acc: 0.6160  lr: 0.0000 
ep/it:146-  81 niter: 56000  268m 32s (- 2486m 26s) completed:  9%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0363  acc: 0.6217  lr: 0.0000 
ep/it:146- 131 niter: 56050  268m 46s (- 2486m 10s) completed:  9%) loss_emb: 0.0000  loss: 1.2917  loss_TTT: 0.0358  acc: 0.6205  lr: 0.0000 
ep/it:146- 181 niter: 56100  269m 0s (- 2485m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0371  acc: 0.6261  lr: 0.0000 
ep/it:146- 231 niter: 56150  269m 14s (- 2485m 29s) completed:  9%) loss_emb: 0.0000  loss: 1.3110  loss_TTT: 0.0343  acc: 0.6148  lr: 0.0000 
ep/it:146- 281 niter: 56200  269m 28s (- 2485m 9s) completed:  9%) loss_emb: 0.0000  loss: 1.2972  loss_TTT: 0.0357  acc: 0.6186  lr: 0.0000 
ep/it:146- 331 niter: 56250  269m 41s (- 2484m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.3045  loss_TTT: 0.0365  acc: 0.6162  lr: 0.0000 
ep/it:146- 381 niter: 56300  269m 55s (- 2484m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.3091  loss_TTT: 0.0361  acc: 0.6152  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.590
ep/it:147-  48 niter: 56350  270m 12s (- 2484m 33s) completed:  9%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0357  acc: 0.6280  lr: 0.0000 
ep/it:147-  98 niter: 56400  270m 25s (- 2484m 11s) completed:  9%) loss_emb: 0.0000  loss: 1.3006  loss_TTT: 0.0359  acc: 0.6179  lr: 0.0000 
ep/it:147- 148 niter: 56450  270m 39s (- 2483m 52s) completed:  9%) loss_emb: 0.0000  loss: 1.2980  loss_TTT: 0.0362  acc: 0.6192  lr: 0.0000 
ep/it:147- 198 niter: 56500  270m 53s (- 2483m 32s) completed:  9%) loss_emb: 0.0000  loss: 1.3048  loss_TTT: 0.0363  acc: 0.6177  lr: 0.0000 
ep/it:147- 248 niter: 56550  271m 7s (- 2483m 15s) completed:  9%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0344  acc: 0.6240  lr: 0.0000 
ep/it:147- 298 niter: 56600  271m 21s (- 2483m 1s) completed:  9%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0351  acc: 0.6250  lr: 0.0000 
ep/it:147- 348 niter: 56650  271m 35s (- 2482m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0352  acc: 0.6225  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.587
ep/it:148-  15 niter: 56700  271m 51s (- 2482m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.3000  loss_TTT: 0.0375  acc: 0.6163  lr: 0.0000 
ep/it:148-  65 niter: 56750  272m 5s (- 2482m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.3003  loss_TTT: 0.0377  acc: 0.6167  lr: 0.0000 
ep/it:148- 115 niter: 56800  272m 19s (- 2482m 8s) completed:  9%) loss_emb: 0.0000  loss: 1.3242  loss_TTT: 0.0363  acc: 0.6108  lr: 0.0000 
ep/it:148- 165 niter: 56850  272m 33s (- 2481m 47s) completed:  9%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0341  acc: 0.6182  lr: 0.0000 
ep/it:148- 215 niter: 56900  272m 46s (- 2481m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0372  acc: 0.6198  lr: 0.0000 
ep/it:148- 265 niter: 56950  273m 0s (- 2481m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.2884  loss_TTT: 0.0362  acc: 0.6214  lr: 0.0000 
ep/it:148- 315 niter: 57000  273m 14s (- 2480m 41s) completed:  9%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0348  acc: 0.6303  lr: 0.0000 
ep/it:148- 365 niter: 57050  273m 28s (- 2480m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.3137  loss_TTT: 0.0356  acc: 0.6142  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.596
ep/it:149-  32 niter: 57100  273m 44s (- 2480m 27s) completed:  9%) loss_emb: 0.0000  loss: 1.2962  loss_TTT: 0.0363  acc: 0.6183  lr: 0.0000 
ep/it:149-  82 niter: 57150  273m 57s (- 2480m 4s) completed:  9%) loss_emb: 0.0000  loss: 1.3157  loss_TTT: 0.0363  acc: 0.6127  lr: 0.0000 
ep/it:149- 132 niter: 57200  274m 11s (- 2479m 44s) completed:  9%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0351  acc: 0.6208  lr: 0.0000 
ep/it:149- 182 niter: 57250  274m 25s (- 2479m 25s) completed:  9%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0349  acc: 0.6169  lr: 0.0000 
ep/it:149- 232 niter: 57300  274m 39s (- 2479m 3s) completed:  9%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0384  acc: 0.6249  lr: 0.0000 
ep/it:149- 282 niter: 57350  274m 52s (- 2478m 42s) completed:  9%) loss_emb: 0.0000  loss: 1.3023  loss_TTT: 0.0362  acc: 0.6165  lr: 0.0000 
ep/it:149- 332 niter: 57400  275m 6s (- 2478m 24s) completed:  9%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0361  acc: 0.6206  lr: 0.0000 
ep/it:149- 382 niter: 57450  275m 20s (- 2478m 2s) completed: 10%) loss_emb: 0.0000  loss: 1.2903  loss_TTT: 0.0369  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.437, accuracy:0.597

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:12,  3.68it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.46it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.79it/s]
100%|██████████| 47/47 [00:05<00:00,  8.10it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.453476455062628 avg: 2.453476455062628
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.449444931000471 avg: 2.4514606930315495
--> 	 Eva. Repeat 22 :, FID. 0.1726, Diversity Real. 9.5995, Diversity. 9.9919, R_precision_real. [0.49023438 0.6875     0.79785156], R_precision. [0.50292969 0.6875     0.79296875], matching_score_real. 2.9832, matching_score_pred. 3.0030, skate_ratio. 0.0454, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5088 (traj_fail_50cm (Traj err)): 0.2949 (kps_fail_20cm): 0.3591 (kps_fail_50cm (Loc. err)): 0.1883 (kps_mean_err(m) (Avg. err)): 0.3536 
ep/it:150-  49 niter: 57500  275m 43s (- 2479m 9s) completed: 10%) loss_emb: 0.0000  loss: 1.2799  loss_TTT: 0.0355  acc: 0.6238  lr: 0.0000 
ep/it:150-  99 niter: 57550  275m 58s (- 2478m 54s) completed: 10%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0344  acc: 0.6253  lr: 0.0000 
ep/it:150- 149 niter: 57600  276m 11s (- 2478m 33s) completed: 10%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0359  acc: 0.6251  lr: 0.0000 
ep/it:150- 199 niter: 57650  276m 25s (- 2478m 10s) completed: 10%) loss_emb: 0.0000  loss: 1.2837  loss_TTT: 0.0373  acc: 0.6224  lr: 0.0000 
ep/it:150- 249 niter: 57700  276m 38s (- 2477m 48s) completed: 10%) loss_emb: 0.0000  loss: 1.2534  loss_TTT: 0.0350  acc: 0.6299  lr: 0.0000 
ep/it:150- 299 niter: 57750  276m 52s (- 2477m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.2949  loss_TTT: 0.0356  acc: 0.6185  lr: 0.0000 
ep/it:150- 349 niter: 57800  277m 6s (- 2477m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0363  acc: 0.6211  lr: 0.0000 
Validation time:
Validation loss:1.486, accuracy:0.585
ep/it:151-  16 niter: 57850  277m 22s (- 2477m 15s) completed: 10%) loss_emb: 0.0000  loss: 1.2740  loss_TTT: 0.0360  acc: 0.6258  lr: 0.0000 
ep/it:151-  66 niter: 57900  277m 37s (- 2477m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0361  acc: 0.6214  lr: 0.0000 
ep/it:151- 116 niter: 57950  277m 51s (- 2476m 41s) completed: 10%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0354  acc: 0.6233  lr: 0.0000 
ep/it:151- 166 niter: 58000  278m 4s (- 2476m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0345  acc: 0.6259  lr: 0.0000 
ep/it:151- 216 niter: 58050  278m 18s (- 2476m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.2979  loss_TTT: 0.0355  acc: 0.6194  lr: 0.0000 
ep/it:151- 266 niter: 58100  278m 32s (- 2475m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.2842  loss_TTT: 0.0350  acc: 0.6215  lr: 0.0000 
ep/it:151- 316 niter: 58150  278m 46s (- 2475m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.2877  loss_TTT: 0.0355  acc: 0.6202  lr: 0.0000 
ep/it:151- 366 niter: 58200  279m 0s (- 2475m 5s) completed: 10%) loss_emb: 0.0000  loss: 1.3042  loss_TTT: 0.0373  acc: 0.6158  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.595
ep/it:152-  33 niter: 58250  279m 16s (- 2475m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.3030  loss_TTT: 0.0359  acc: 0.6179  lr: 0.0000 
ep/it:152-  83 niter: 58300  279m 30s (- 2474m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0374  acc: 0.6231  lr: 0.0000 
ep/it:152- 133 niter: 58350  279m 43s (- 2474m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0361  acc: 0.6245  lr: 0.0000 
ep/it:152- 183 niter: 58400  279m 57s (- 2474m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.2924  loss_TTT: 0.0359  acc: 0.6209  lr: 0.0000 
ep/it:152- 233 niter: 58450  280m 11s (- 2473m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0358  acc: 0.6194  lr: 0.0000 
ep/it:152- 283 niter: 58500  280m 24s (- 2473m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.2796  loss_TTT: 0.0360  acc: 0.6231  lr: 0.0000 
ep/it:152- 333 niter: 58550  280m 38s (- 2473m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.2871  loss_TTT: 0.0357  acc: 0.6219  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.600
ep/it:153-   0 niter: 58600  280m 54s (- 2473m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0346  acc: 0.6211  lr: 0.0000 
ep/it:153-  50 niter: 58650  281m 8s (- 2472m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.3056  loss_TTT: 0.0347  acc: 0.6163  lr: 0.0000 
ep/it:153- 100 niter: 58700  281m 22s (- 2472m 27s) completed: 10%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0372  acc: 0.6232  lr: 0.0000 
ep/it:153- 150 niter: 58750  281m 35s (- 2472m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.2889  loss_TTT: 0.0358  acc: 0.6199  lr: 0.0000 
ep/it:153- 200 niter: 58800  281m 49s (- 2471m 42s) completed: 10%) loss_emb: 0.0000  loss: 1.2980  loss_TTT: 0.0358  acc: 0.6183  lr: 0.0000 
ep/it:153- 250 niter: 58850  282m 3s (- 2471m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.2867  loss_TTT: 0.0364  acc: 0.6207  lr: 0.0000 
ep/it:153- 300 niter: 58900  282m 16s (- 2470m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0342  acc: 0.6235  lr: 0.0000 
ep/it:153- 350 niter: 58950  282m 30s (- 2470m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.3069  loss_TTT: 0.0340  acc: 0.6143  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.594
ep/it:154-  17 niter: 59000  282m 46s (- 2470m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.3156  loss_TTT: 0.0339  acc: 0.6127  lr: 0.0000 
ep/it:154-  67 niter: 59050  283m 0s (- 2470m 21s) completed: 10%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0355  acc: 0.6201  lr: 0.0000 
ep/it:154- 117 niter: 59100  283m 13s (- 2470m 0s) completed: 10%) loss_emb: 0.0000  loss: 1.2899  loss_TTT: 0.0339  acc: 0.6203  lr: 0.0000 
ep/it:154- 167 niter: 59150  283m 27s (- 2469m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.2928  loss_TTT: 0.0369  acc: 0.6190  lr: 0.0000 
ep/it:154- 217 niter: 59200  283m 40s (- 2469m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0363  acc: 0.6227  lr: 0.0000 
ep/it:154- 267 niter: 59250  283m 54s (- 2468m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0351  acc: 0.6208  lr: 0.0000 
ep/it:154- 317 niter: 59300  284m 8s (- 2468m 39s) completed: 10%) loss_emb: 0.0000  loss: 1.2913  loss_TTT: 0.0357  acc: 0.6210  lr: 0.0000 
ep/it:154- 367 niter: 59350  284m 22s (- 2468m 17s) completed: 10%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0351  acc: 0.6202  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.595
ep/it:155-  34 niter: 59400  284m 38s (- 2468m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0368  acc: 0.6225  lr: 0.0000 
ep/it:155-  84 niter: 59450  284m 51s (- 2467m 57s) completed: 10%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0363  acc: 0.6193  lr: 0.0000 
ep/it:155- 134 niter: 59500  285m 5s (- 2467m 33s) completed: 10%) loss_emb: 0.0000  loss: 1.2925  loss_TTT: 0.0349  acc: 0.6190  lr: 0.0000 
ep/it:155- 184 niter: 59550  285m 19s (- 2467m 14s) completed: 10%) loss_emb: 0.0000  loss: 1.2971  loss_TTT: 0.0355  acc: 0.6165  lr: 0.0000 
ep/it:155- 234 niter: 59600  285m 32s (- 2466m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.2753  loss_TTT: 0.0351  acc: 0.6238  lr: 0.0000 
ep/it:155- 284 niter: 59650  285m 45s (- 2466m 28s) completed: 10%) loss_emb: 0.0000  loss: 1.2904  loss_TTT: 0.0351  acc: 0.6191  lr: 0.0000 
ep/it:155- 334 niter: 59700  285m 59s (- 2466m 8s) completed: 10%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0344  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.416, accuracy:0.600
ep/it:156-   1 niter: 59750  286m 15s (- 2466m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.2813  loss_TTT: 0.0363  acc: 0.6230  lr: 0.0000 
ep/it:156-  51 niter: 59800  286m 29s (- 2465m 46s) completed: 10%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0348  acc: 0.6207  lr: 0.0000 
ep/it:156- 101 niter: 59850  286m 42s (- 2465m 26s) completed: 10%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0345  acc: 0.6222  lr: 0.0000 
ep/it:156- 151 niter: 59900  286m 56s (- 2465m 5s) completed: 10%) loss_emb: 0.0000  loss: 1.3048  loss_TTT: 0.0359  acc: 0.6156  lr: 0.0000 
ep/it:156- 201 niter: 59950  287m 9s (- 2464m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0373  acc: 0.6236  lr: 0.0000 
ep/it:156- 251 niter: 60000  287m 23s (- 2464m 22s) completed: 10%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0363  acc: 0.6269  lr: 0.0000 
ep/it:156- 301 niter: 60050  287m 37s (- 2464m 6s) completed: 10%) loss_emb: 0.0000  loss: 1.3287  loss_TTT: 0.0363  acc: 0.6097  lr: 0.0000 
ep/it:156- 351 niter: 60100  287m 51s (- 2463m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.2891  loss_TTT: 0.0357  acc: 0.6194  lr: 0.0000 
Validation time:
Validation loss:1.495, accuracy:0.582
ep/it:157-  18 niter: 60150  288m 7s (- 2463m 43s) completed: 10%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0339  acc: 0.6232  lr: 0.0000 
ep/it:157-  68 niter: 60200  288m 20s (- 2463m 22s) completed: 10%) loss_emb: 0.0000  loss: 1.3219  loss_TTT: 0.0357  acc: 0.6130  lr: 0.0000 
ep/it:157- 118 niter: 60250  288m 34s (- 2463m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.2998  loss_TTT: 0.0368  acc: 0.6178  lr: 0.0000 
ep/it:157- 168 niter: 60300  288m 47s (- 2462m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.2896  loss_TTT: 0.0359  acc: 0.6197  lr: 0.0000 
ep/it:157- 218 niter: 60350  289m 1s (- 2462m 16s) completed: 10%) loss_emb: 0.0000  loss: 1.2809  loss_TTT: 0.0342  acc: 0.6224  lr: 0.0000 
ep/it:157- 268 niter: 60400  289m 15s (- 2461m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.2875  loss_TTT: 0.0361  acc: 0.6198  lr: 0.0000 
ep/it:157- 318 niter: 60450  289m 28s (- 2461m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0343  acc: 0.6189  lr: 0.0000 
ep/it:157- 368 niter: 60500  289m 42s (- 2461m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.2948  loss_TTT: 0.0357  acc: 0.6191  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.586
ep/it:158-  35 niter: 60550  289m 58s (- 2461m 22s) completed: 10%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0352  acc: 0.6226  lr: 0.0000 
ep/it:158-  85 niter: 60600  290m 12s (- 2461m 1s) completed: 10%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0356  acc: 0.6244  lr: 0.0000 
ep/it:158- 135 niter: 60650  290m 26s (- 2460m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0374  acc: 0.6170  lr: 0.0000 
ep/it:158- 185 niter: 60700  290m 39s (- 2460m 19s) completed: 10%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0371  acc: 0.6270  lr: 0.0000 
ep/it:158- 235 niter: 60750  290m 53s (- 2459m 58s) completed: 10%) loss_emb: 0.0000  loss: 1.3172  loss_TTT: 0.0360  acc: 0.6129  lr: 0.0000 
ep/it:158- 285 niter: 60800  291m 7s (- 2459m 40s) completed: 10%) loss_emb: 0.0000  loss: 1.2977  loss_TTT: 0.0333  acc: 0.6182  lr: 0.0000 
ep/it:158- 335 niter: 60850  291m 20s (- 2459m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.2930  loss_TTT: 0.0338  acc: 0.6183  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.589
ep/it:159-   2 niter: 60900  291m 36s (- 2459m 20s) completed: 10%) loss_emb: 0.0000  loss: 1.3118  loss_TTT: 0.0353  acc: 0.6139  lr: 0.0000 
ep/it:159-  52 niter: 60950  291m 50s (- 2459m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0356  acc: 0.6253  lr: 0.0000 
ep/it:159- 102 niter: 61000  292m 4s (- 2458m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0342  acc: 0.6226  lr: 0.0000 
ep/it:159- 152 niter: 61050  292m 18s (- 2458m 26s) completed: 10%) loss_emb: 0.0000  loss: 1.2871  loss_TTT: 0.0350  acc: 0.6221  lr: 0.0000 
ep/it:159- 202 niter: 61100  292m 32s (- 2458m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0358  acc: 0.6227  lr: 0.0000 
ep/it:159- 252 niter: 61150  292m 46s (- 2457m 48s) completed: 10%) loss_emb: 0.0000  loss: 1.3186  loss_TTT: 0.0366  acc: 0.6129  lr: 0.0000 
ep/it:159- 302 niter: 61200  292m 59s (- 2457m 27s) completed: 10%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0338  acc: 0.6233  lr: 0.0000 
ep/it:159- 352 niter: 61250  293m 13s (- 2457m 10s) completed: 10%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0363  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.476, accuracy:0.586

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.16it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.44it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.74it/s]
100%|██████████| 47/47 [00:05<00:00,  8.12it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.452443432994187 avg: 2.452443432994187
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.465485388878733 avg: 2.45896441093646
--> 	 Eva. Repeat 22 :, FID. 0.1057, Diversity Real. 9.5699, Diversity. 9.9272, R_precision_real. [0.5        0.6875     0.79101562], R_precision. [0.51269531 0.69726562 0.79394531], matching_score_real. 2.9191, matching_score_pred. 2.9740, skate_ratio. 0.0450, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5576 (traj_fail_50cm (Traj err)): 0.3291 (kps_fail_20cm): 0.3969 (kps_fail_50cm (Loc. err)): 0.2202 (kps_mean_err(m) (Avg. err)): 0.3921 
ep/it:160-  19 niter: 61300  293m 36s (- 2458m 5s) completed: 10%) loss_emb: 0.0000  loss: 1.3015  loss_TTT: 0.0337  acc: 0.6184  lr: 0.0000 
ep/it:160-  69 niter: 61350  293m 50s (- 2457m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.3031  loss_TTT: 0.0364  acc: 0.6180  lr: 0.0000 
ep/it:160- 119 niter: 61400  294m 4s (- 2457m 29s) completed: 10%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0345  acc: 0.6304  lr: 0.0000 
ep/it:160- 169 niter: 61450  294m 18s (- 2457m 13s) completed: 10%) loss_emb: 0.0000  loss: 1.2930  loss_TTT: 0.0357  acc: 0.6191  lr: 0.0000 
ep/it:160- 219 niter: 61500  294m 31s (- 2456m 50s) completed: 10%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0340  acc: 0.6275  lr: 0.0000 
ep/it:160- 269 niter: 61550  294m 45s (- 2456m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0372  acc: 0.6239  lr: 0.0000 
ep/it:160- 319 niter: 61600  294m 59s (- 2456m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0354  acc: 0.6259  lr: 0.0000 
ep/it:160- 369 niter: 61650  295m 13s (- 2455m 51s) completed: 10%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0352  acc: 0.6238  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.596
ep/it:161-  36 niter: 61700  295m 29s (- 2455m 52s) completed: 10%) loss_emb: 0.0000  loss: 1.2801  loss_TTT: 0.0349  acc: 0.6227  lr: 0.0000 
ep/it:161-  86 niter: 61750  295m 43s (- 2455m 36s) completed: 10%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0354  acc: 0.6227  lr: 0.0000 
ep/it:161- 136 niter: 61800  295m 57s (- 2455m 18s) completed: 10%) loss_emb: 0.0000  loss: 1.2760  loss_TTT: 0.0365  acc: 0.6240  lr: 0.0000 
ep/it:161- 186 niter: 61850  296m 10s (- 2454m 56s) completed: 10%) loss_emb: 0.0000  loss: 1.2986  loss_TTT: 0.0352  acc: 0.6174  lr: 0.0000 
ep/it:161- 236 niter: 61900  296m 24s (- 2454m 37s) completed: 10%) loss_emb: 0.0000  loss: 1.3010  loss_TTT: 0.0348  acc: 0.6160  lr: 0.0000 
ep/it:161- 286 niter: 61950  296m 38s (- 2454m 19s) completed: 10%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0343  acc: 0.6200  lr: 0.0000 
ep/it:161- 336 niter: 62000  296m 52s (- 2453m 57s) completed: 10%) loss_emb: 0.0000  loss: 1.3023  loss_TTT: 0.0352  acc: 0.6176  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.592
ep/it:162-   3 niter: 62050  297m 8s (- 2453m 59s) completed: 10%) loss_emb: 0.0000  loss: 1.2944  loss_TTT: 0.0343  acc: 0.6188  lr: 0.0000 
ep/it:162-  53 niter: 62100  297m 22s (- 2453m 41s) completed: 10%) loss_emb: 0.0000  loss: 1.2876  loss_TTT: 0.0360  acc: 0.6211  lr: 0.0000 
ep/it:162- 103 niter: 62150  297m 36s (- 2453m 23s) completed: 10%) loss_emb: 0.0000  loss: 1.2999  loss_TTT: 0.0358  acc: 0.6173  lr: 0.0000 
ep/it:162- 153 niter: 62200  297m 50s (- 2453m 4s) completed: 10%) loss_emb: 0.0000  loss: 1.2978  loss_TTT: 0.0345  acc: 0.6181  lr: 0.0000 
ep/it:162- 203 niter: 62250  298m 3s (- 2452m 44s) completed: 10%) loss_emb: 0.0000  loss: 1.3061  loss_TTT: 0.0357  acc: 0.6149  lr: 0.0000 
ep/it:162- 253 niter: 62300  298m 17s (- 2452m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.3011  loss_TTT: 0.0346  acc: 0.6171  lr: 0.0000 
ep/it:162- 303 niter: 62350  298m 31s (- 2452m 8s) completed: 10%) loss_emb: 0.0000  loss: 1.3136  loss_TTT: 0.0364  acc: 0.6133  lr: 0.0000 
ep/it:162- 353 niter: 62400  298m 45s (- 2451m 49s) completed: 10%) loss_emb: 0.0000  loss: 1.3071  loss_TTT: 0.0348  acc: 0.6152  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.592
ep/it:163-  20 niter: 62450  299m 1s (- 2451m 45s) completed: 10%) loss_emb: 0.0000  loss: 1.2874  loss_TTT: 0.0357  acc: 0.6208  lr: 0.0000 
ep/it:163-  70 niter: 62500  299m 14s (- 2451m 25s) completed: 10%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0344  acc: 0.6247  lr: 0.0000 
ep/it:163- 120 niter: 62550  299m 28s (- 2451m 7s) completed: 10%) loss_emb: 0.0000  loss: 1.3061  loss_TTT: 0.0364  acc: 0.6172  lr: 0.0000 
ep/it:163- 170 niter: 62600  299m 42s (- 2450m 46s) completed: 10%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0354  acc: 0.6190  lr: 0.0000 
ep/it:163- 220 niter: 62650  299m 56s (- 2450m 29s) completed: 10%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0354  acc: 0.6245  lr: 0.0000 
ep/it:163- 270 niter: 62700  300m 10s (- 2450m 10s) completed: 10%) loss_emb: 0.0000  loss: 1.2875  loss_TTT: 0.0357  acc: 0.6206  lr: 0.0000 
ep/it:163- 320 niter: 62750  300m 23s (- 2449m 49s) completed: 10%) loss_emb: 0.0000  loss: 1.2997  loss_TTT: 0.0366  acc: 0.6185  lr: 0.0000 
ep/it:163- 370 niter: 62800  300m 37s (- 2449m 32s) completed: 10%) loss_emb: 0.0000  loss: 1.2943  loss_TTT: 0.0358  acc: 0.6177  lr: 0.0000 
Validation time:
Validation loss:1.467, accuracy:0.589
ep/it:164-  37 niter: 62850  300m 53s (- 2449m 31s) completed: 10%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0352  acc: 0.6240  lr: 0.0000 
ep/it:164-  87 niter: 62900  301m 7s (- 2449m 12s) completed: 10%) loss_emb: 0.0000  loss: 1.3036  loss_TTT: 0.0344  acc: 0.6156  lr: 0.0000 
ep/it:164- 137 niter: 62950  301m 21s (- 2448m 55s) completed: 10%) loss_emb: 0.0000  loss: 1.2951  loss_TTT: 0.0348  acc: 0.6194  lr: 0.0000 
ep/it:164- 187 niter: 63000  301m 35s (- 2448m 38s) completed: 10%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0353  acc: 0.6202  lr: 0.0000 
ep/it:164- 237 niter: 63050  301m 49s (- 2448m 24s) completed: 10%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0363  acc: 0.6211  lr: 0.0000 
ep/it:164- 287 niter: 63100  302m 3s (- 2448m 3s) completed: 10%) loss_emb: 0.0000  loss: 1.3217  loss_TTT: 0.0358  acc: 0.6111  lr: 0.0000 
ep/it:164- 337 niter: 63150  302m 17s (- 2447m 42s) completed: 10%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0348  acc: 0.6245  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.592
ep/it:165-   4 niter: 63200  302m 33s (- 2447m 41s) completed: 11%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0352  acc: 0.6275  lr: 0.0000 
ep/it:165-  54 niter: 63250  302m 47s (- 2447m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.2708  loss_TTT: 0.0353  acc: 0.6260  lr: 0.0000 
ep/it:165- 104 niter: 63300  303m 0s (- 2447m 5s) completed: 11%) loss_emb: 0.0000  loss: 1.2945  loss_TTT: 0.0378  acc: 0.6188  lr: 0.0000 
ep/it:165- 154 niter: 63350  303m 14s (- 2446m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0342  acc: 0.6251  lr: 0.0000 
ep/it:165- 204 niter: 63400  303m 28s (- 2446m 24s) completed: 11%) loss_emb: 0.0000  loss: 1.2695  loss_TTT: 0.0355  acc: 0.6252  lr: 0.0000 
ep/it:165- 254 niter: 63450  303m 41s (- 2446m 4s) completed: 11%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0352  acc: 0.6239  lr: 0.0000 
ep/it:165- 304 niter: 63500  303m 55s (- 2445m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.2937  loss_TTT: 0.0360  acc: 0.6185  lr: 0.0000 
ep/it:165- 354 niter: 63550  304m 9s (- 2445m 27s) completed: 11%) loss_emb: 0.0000  loss: 1.3113  loss_TTT: 0.0343  acc: 0.6142  lr: 0.0000 
Validation time:
Validation loss:1.469, accuracy:0.587
ep/it:166-  21 niter: 63600  304m 25s (- 2445m 25s) completed: 11%) loss_emb: 0.0000  loss: 1.3011  loss_TTT: 0.0334  acc: 0.6158  lr: 0.0000 
ep/it:166-  71 niter: 63650  304m 38s (- 2445m 5s) completed: 11%) loss_emb: 0.0000  loss: 1.3004  loss_TTT: 0.0362  acc: 0.6192  lr: 0.0000 
ep/it:166- 121 niter: 63700  304m 52s (- 2444m 42s) completed: 11%) loss_emb: 0.0000  loss: 1.3016  loss_TTT: 0.0355  acc: 0.6176  lr: 0.0000 
ep/it:166- 171 niter: 63750  305m 5s (- 2444m 21s) completed: 11%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0347  acc: 0.6263  lr: 0.0000 
ep/it:166- 221 niter: 63800  305m 19s (- 2443m 59s) completed: 11%) loss_emb: 0.0000  loss: 1.2910  loss_TTT: 0.0349  acc: 0.6194  lr: 0.0000 
ep/it:166- 271 niter: 63850  305m 32s (- 2443m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.2770  loss_TTT: 0.0357  acc: 0.6238  lr: 0.0000 
ep/it:166- 321 niter: 63900  305m 46s (- 2443m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0361  acc: 0.6230  lr: 0.0000 
ep/it:166- 371 niter: 63950  305m 59s (- 2442m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.2979  loss_TTT: 0.0363  acc: 0.6182  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.590
ep/it:167-  38 niter: 64000  306m 15s (- 2442m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.2733  loss_TTT: 0.0357  acc: 0.6242  lr: 0.0000 
ep/it:167-  88 niter: 64050  306m 29s (- 2442m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0362  acc: 0.6268  lr: 0.0000 
ep/it:167- 138 niter: 64100  306m 43s (- 2442m 17s) completed: 11%) loss_emb: 0.0000  loss: 1.3028  loss_TTT: 0.0349  acc: 0.6169  lr: 0.0000 
ep/it:167- 188 niter: 64150  306m 56s (- 2441m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0350  acc: 0.6227  lr: 0.0000 
ep/it:167- 238 niter: 64200  307m 10s (- 2441m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.2803  loss_TTT: 0.0344  acc: 0.6218  lr: 0.0000 
ep/it:167- 288 niter: 64250  307m 24s (- 2441m 17s) completed: 11%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0357  acc: 0.6212  lr: 0.0000 
ep/it:167- 338 niter: 64300  307m 38s (- 2440m 58s) completed: 11%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0351  acc: 0.6260  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.590
ep/it:168-   5 niter: 64350  307m 54s (- 2440m 57s) completed: 11%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0353  acc: 0.6223  lr: 0.0000 
ep/it:168-  55 niter: 64400  308m 8s (- 2440m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.2844  loss_TTT: 0.0357  acc: 0.6216  lr: 0.0000 
ep/it:168- 105 niter: 64450  308m 22s (- 2440m 24s) completed: 11%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0340  acc: 0.6211  lr: 0.0000 
ep/it:168- 155 niter: 64500  308m 35s (- 2440m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0357  acc: 0.6241  lr: 0.0000 
ep/it:168- 205 niter: 64550  308m 49s (- 2439m 47s) completed: 11%) loss_emb: 0.0000  loss: 1.2927  loss_TTT: 0.0344  acc: 0.6202  lr: 0.0000 
ep/it:168- 255 niter: 64600  309m 3s (- 2439m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.2878  loss_TTT: 0.0356  acc: 0.6195  lr: 0.0000 
ep/it:168- 305 niter: 64650  309m 17s (- 2439m 8s) completed: 11%) loss_emb: 0.0000  loss: 1.3061  loss_TTT: 0.0374  acc: 0.6157  lr: 0.0000 
ep/it:168- 355 niter: 64700  309m 31s (- 2438m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.2912  loss_TTT: 0.0343  acc: 0.6197  lr: 0.0000 
Validation time:
Validation loss:1.474, accuracy:0.586
ep/it:169-  22 niter: 64750  309m 48s (- 2438m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0345  acc: 0.6238  lr: 0.0000 
ep/it:169-  72 niter: 64800  310m 1s (- 2438m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0340  acc: 0.6254  lr: 0.0000 
ep/it:169- 122 niter: 64850  310m 15s (- 2438m 21s) completed: 11%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0352  acc: 0.6252  lr: 0.0000 
ep/it:169- 172 niter: 64900  310m 29s (- 2438m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.2937  loss_TTT: 0.0368  acc: 0.6173  lr: 0.0000 
ep/it:169- 222 niter: 64950  310m 43s (- 2437m 44s) completed: 11%) loss_emb: 0.0000  loss: 1.2899  loss_TTT: 0.0365  acc: 0.6203  lr: 0.0000 
ep/it:169- 272 niter: 65000  310m 57s (- 2437m 27s) completed: 11%) loss_emb: 0.0000  loss: 1.2792  loss_TTT: 0.0360  acc: 0.6239  lr: 0.0000 
ep/it:169- 322 niter: 65050  311m 11s (- 2437m 11s) completed: 11%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0354  acc: 0.6163  lr: 0.0000 
ep/it:169- 372 niter: 65100  311m 25s (- 2436m 51s) completed: 11%) loss_emb: 0.0000  loss: 1.2985  loss_TTT: 0.0345  acc: 0.6177  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:12,  3.73it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.46it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.80it/s]
100%|██████████| 47/47 [00:05<00:00,  8.12it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.459645879920572 avg: 2.459645879920572
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.455418974161148 avg: 2.45753242704086
--> 	 Eva. Repeat 22 :, FID. 0.1302, Diversity Real. 9.3464, Diversity. 9.7120, R_precision_real. [0.52246094 0.70800781 0.796875  ], R_precision. [0.51074219 0.69628906 0.79101562], matching_score_real. 2.9403, matching_score_pred. 2.9938, skate_ratio. 0.0443, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5098 (traj_fail_50cm (Traj err)): 0.2881 (kps_fail_20cm): 0.3675 (kps_fail_50cm (Loc. err)): 0.1950 (kps_mean_err(m) (Avg. err)): 0.3642 
ep/it:170-  39 niter: 65150  311m 48s (- 2437m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0362  acc: 0.6214  lr: 0.0000 
ep/it:170-  89 niter: 65200  312m 2s (- 2437m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0361  acc: 0.6192  lr: 0.0000 
ep/it:170- 139 niter: 65250  312m 15s (- 2437m 6s) completed: 11%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0359  acc: 0.6244  lr: 0.0000 
ep/it:170- 189 niter: 65300  312m 29s (- 2436m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0347  acc: 0.6219  lr: 0.0000 
ep/it:170- 239 niter: 65350  312m 43s (- 2436m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0338  acc: 0.6201  lr: 0.0000 
ep/it:170- 289 niter: 65400  312m 57s (- 2436m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.2913  loss_TTT: 0.0359  acc: 0.6190  lr: 0.0000 
ep/it:170- 339 niter: 65450  313m 11s (- 2435m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.2769  loss_TTT: 0.0339  acc: 0.6228  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.598
ep/it:171-   6 niter: 65500  313m 27s (- 2435m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.2802  loss_TTT: 0.0371  acc: 0.6218  lr: 0.0000 
ep/it:171-  56 niter: 65550  313m 41s (- 2435m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.2658  loss_TTT: 0.0370  acc: 0.6269  lr: 0.0000 
ep/it:171- 106 niter: 65600  313m 55s (- 2435m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0351  acc: 0.6258  lr: 0.0000 
ep/it:171- 156 niter: 65650  314m 9s (- 2434m 58s) completed: 11%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0342  acc: 0.6220  lr: 0.0000 
ep/it:171- 206 niter: 65700  314m 22s (- 2434m 39s) completed: 11%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0345  acc: 0.6239  lr: 0.0000 
ep/it:171- 256 niter: 65750  314m 36s (- 2434m 20s) completed: 11%) loss_emb: 0.0000  loss: 1.2984  loss_TTT: 0.0344  acc: 0.6168  lr: 0.0000 
ep/it:171- 306 niter: 65800  314m 50s (- 2434m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.2745  loss_TTT: 0.0349  acc: 0.6237  lr: 0.0000 
ep/it:171- 356 niter: 65850  315m 4s (- 2433m 44s) completed: 11%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0349  acc: 0.6226  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.600
ep/it:172-  23 niter: 65900  315m 20s (- 2433m 44s) completed: 11%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0367  acc: 0.6264  lr: 0.0000 
ep/it:172-  73 niter: 65950  315m 34s (- 2433m 24s) completed: 11%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0353  acc: 0.6218  lr: 0.0000 
ep/it:172- 123 niter: 66000  315m 47s (- 2433m 5s) completed: 11%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0336  acc: 0.6207  lr: 0.0000 
ep/it:172- 173 niter: 66050  316m 1s (- 2432m 47s) completed: 11%) loss_emb: 0.0000  loss: 1.2813  loss_TTT: 0.0352  acc: 0.6224  lr: 0.0000 
ep/it:172- 223 niter: 66100  316m 15s (- 2432m 29s) completed: 11%) loss_emb: 0.0000  loss: 1.2910  loss_TTT: 0.0359  acc: 0.6187  lr: 0.0000 
ep/it:172- 273 niter: 66150  316m 29s (- 2432m 11s) completed: 11%) loss_emb: 0.0000  loss: 1.2724  loss_TTT: 0.0347  acc: 0.6241  lr: 0.0000 
ep/it:172- 323 niter: 66200  316m 43s (- 2431m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.2539  loss_TTT: 0.0341  acc: 0.6299  lr: 0.0000 
ep/it:172- 373 niter: 66250  316m 56s (- 2431m 31s) completed: 11%) loss_emb: 0.0000  loss: 1.2881  loss_TTT: 0.0367  acc: 0.6211  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.596
ep/it:173-  40 niter: 66300  317m 13s (- 2431m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0358  acc: 0.6262  lr: 0.0000 
ep/it:173-  90 niter: 66350  317m 27s (- 2431m 15s) completed: 11%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0354  acc: 0.6175  lr: 0.0000 
ep/it:173- 140 niter: 66400  317m 40s (- 2430m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.3093  loss_TTT: 0.0352  acc: 0.6146  lr: 0.0000 
ep/it:173- 190 niter: 66450  317m 54s (- 2430m 32s) completed: 11%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0354  acc: 0.6254  lr: 0.0000 
ep/it:173- 240 niter: 66500  318m 7s (- 2430m 14s) completed: 11%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0365  acc: 0.6204  lr: 0.0000 
ep/it:173- 290 niter: 66550  318m 21s (- 2429m 57s) completed: 11%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0349  acc: 0.6229  lr: 0.0000 
ep/it:173- 340 niter: 66600  318m 35s (- 2429m 40s) completed: 11%) loss_emb: 0.0000  loss: 1.2985  loss_TTT: 0.0348  acc: 0.6172  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.601
ep/it:174-   7 niter: 66650  318m 52s (- 2429m 46s) completed: 11%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0347  acc: 0.6207  lr: 0.0000 
ep/it:174-  57 niter: 66700  319m 7s (- 2429m 30s) completed: 11%) loss_emb: 0.0000  loss: 1.2732  loss_TTT: 0.0341  acc: 0.6239  lr: 0.0000 
ep/it:174- 107 niter: 66750  319m 21s (- 2429m 13s) completed: 11%) loss_emb: 0.0000  loss: 1.2629  loss_TTT: 0.0348  acc: 0.6284  lr: 0.0000 
ep/it:174- 157 niter: 66800  319m 35s (- 2428m 56s) completed: 11%) loss_emb: 0.0000  loss: 1.2946  loss_TTT: 0.0356  acc: 0.6195  lr: 0.0000 
ep/it:174- 207 niter: 66850  319m 48s (- 2428m 36s) completed: 11%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0341  acc: 0.6199  lr: 0.0000 
ep/it:174- 257 niter: 66900  320m 2s (- 2428m 18s) completed: 11%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0346  acc: 0.6208  lr: 0.0000 
ep/it:174- 307 niter: 66950  320m 16s (- 2427m 59s) completed: 11%) loss_emb: 0.0000  loss: 1.2982  loss_TTT: 0.0359  acc: 0.6173  lr: 0.0000 
ep/it:174- 357 niter: 67000  320m 29s (- 2427m 39s) completed: 11%) loss_emb: 0.0000  loss: 1.2896  loss_TTT: 0.0350  acc: 0.6208  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.596
ep/it:175-  24 niter: 67050  320m 46s (- 2427m 44s) completed: 11%) loss_emb: 0.0000  loss: 1.3062  loss_TTT: 0.0350  acc: 0.6142  lr: 0.0000 
ep/it:175-  74 niter: 67100  321m 0s (- 2427m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.3093  loss_TTT: 0.0358  acc: 0.6158  lr: 0.0000 
ep/it:175- 124 niter: 67150  321m 13s (- 2427m 1s) completed: 11%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0348  acc: 0.6213  lr: 0.0000 
ep/it:175- 174 niter: 67200  321m 27s (- 2426m 42s) completed: 11%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0339  acc: 0.6278  lr: 0.0000 
ep/it:175- 224 niter: 67250  321m 41s (- 2426m 23s) completed: 11%) loss_emb: 0.0000  loss: 1.2989  loss_TTT: 0.0350  acc: 0.6169  lr: 0.0000 
ep/it:175- 274 niter: 67300  321m 54s (- 2426m 3s) completed: 11%) loss_emb: 0.0000  loss: 1.2941  loss_TTT: 0.0369  acc: 0.6184  lr: 0.0000 
ep/it:175- 324 niter: 67350  322m 8s (- 2425m 44s) completed: 11%) loss_emb: 0.0000  loss: 1.2854  loss_TTT: 0.0353  acc: 0.6202  lr: 0.0000 
ep/it:175- 374 niter: 67400  322m 22s (- 2425m 26s) completed: 11%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0338  acc: 0.6258  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.587
ep/it:176-  41 niter: 67450  322m 38s (- 2425m 27s) completed: 11%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0339  acc: 0.6229  lr: 0.0000 
ep/it:176-  91 niter: 67500  322m 52s (- 2425m 7s) completed: 11%) loss_emb: 0.0000  loss: 1.2715  loss_TTT: 0.0339  acc: 0.6245  lr: 0.0000 
ep/it:176- 141 niter: 67550  323m 6s (- 2424m 50s) completed: 11%) loss_emb: 0.0000  loss: 1.2795  loss_TTT: 0.0339  acc: 0.6216  lr: 0.0000 
ep/it:176- 191 niter: 67600  323m 20s (- 2424m 32s) completed: 11%) loss_emb: 0.0000  loss: 1.2961  loss_TTT: 0.0368  acc: 0.6176  lr: 0.0000 
ep/it:176- 241 niter: 67650  323m 33s (- 2424m 10s) completed: 11%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0357  acc: 0.6311  lr: 0.0000 
ep/it:176- 291 niter: 67700  323m 47s (- 2423m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.3154  loss_TTT: 0.0338  acc: 0.6130  lr: 0.0000 
ep/it:176- 341 niter: 67750  324m 1s (- 2423m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.2915  loss_TTT: 0.0356  acc: 0.6199  lr: 0.0000 
Validation time:
Validation loss:1.498, accuracy:0.583
ep/it:177-   8 niter: 67800  324m 17s (- 2423m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0358  acc: 0.6233  lr: 0.0000 
ep/it:177-  58 niter: 67850  324m 30s (- 2423m 13s) completed: 11%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0350  acc: 0.6223  lr: 0.0000 
ep/it:177- 108 niter: 67900  324m 44s (- 2422m 54s) completed: 11%) loss_emb: 0.0000  loss: 1.3014  loss_TTT: 0.0343  acc: 0.6173  lr: 0.0000 
ep/it:177- 158 niter: 67950  324m 58s (- 2422m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0360  acc: 0.6252  lr: 0.0000 
ep/it:177- 208 niter: 68000  325m 12s (- 2422m 16s) completed: 11%) loss_emb: 0.0000  loss: 1.2897  loss_TTT: 0.0366  acc: 0.6210  lr: 0.0000 
ep/it:177- 258 niter: 68050  325m 26s (- 2422m 0s) completed: 11%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0355  acc: 0.6256  lr: 0.0000 
ep/it:177- 308 niter: 68100  325m 39s (- 2421m 39s) completed: 11%) loss_emb: 0.0000  loss: 1.2786  loss_TTT: 0.0340  acc: 0.6228  lr: 0.0000 
ep/it:177- 358 niter: 68150  325m 53s (- 2421m 21s) completed: 11%) loss_emb: 0.0000  loss: 1.2801  loss_TTT: 0.0348  acc: 0.6226  lr: 0.0000 
Validation time:
Validation loss:1.458, accuracy:0.591
ep/it:178-  25 niter: 68200  326m 9s (- 2421m 22s) completed: 11%) loss_emb: 0.0000  loss: 1.2892  loss_TTT: 0.0350  acc: 0.6204  lr: 0.0000 
ep/it:178-  75 niter: 68250  326m 23s (- 2421m 2s) completed: 11%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0379  acc: 0.6207  lr: 0.0000 
ep/it:178- 125 niter: 68300  326m 37s (- 2420m 45s) completed: 11%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0343  acc: 0.6308  lr: 0.0000 
ep/it:178- 175 niter: 68350  326m 51s (- 2420m 28s) completed: 11%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0341  acc: 0.6224  lr: 0.0000 
ep/it:178- 225 niter: 68400  327m 5s (- 2420m 9s) completed: 11%) loss_emb: 0.0000  loss: 1.2930  loss_TTT: 0.0347  acc: 0.6179  lr: 0.0000 
ep/it:178- 275 niter: 68450  327m 19s (- 2419m 52s) completed: 11%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0371  acc: 0.6266  lr: 0.0000 
ep/it:178- 325 niter: 68500  327m 32s (- 2419m 33s) completed: 11%) loss_emb: 0.0000  loss: 1.2832  loss_TTT: 0.0340  acc: 0.6206  lr: 0.0000 
ep/it:178- 375 niter: 68550  327m 46s (- 2419m 15s) completed: 11%) loss_emb: 0.0000  loss: 1.2509  loss_TTT: 0.0346  acc: 0.6295  lr: 0.0000 
Validation time:
Validation loss:1.432, accuracy:0.596
ep/it:179-  42 niter: 68600  328m 2s (- 2419m 14s) completed: 11%) loss_emb: 0.0000  loss: 1.2887  loss_TTT: 0.0356  acc: 0.6185  lr: 0.0000 
ep/it:179-  92 niter: 68650  328m 16s (- 2418m 55s) completed: 11%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0351  acc: 0.6270  lr: 0.0000 
ep/it:179- 142 niter: 68700  328m 30s (- 2418m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0351  acc: 0.6222  lr: 0.0000 
ep/it:179- 192 niter: 68750  328m 44s (- 2418m 18s) completed: 11%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0346  acc: 0.6236  lr: 0.0000 
ep/it:179- 242 niter: 68800  328m 57s (- 2417m 58s) completed: 11%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0347  acc: 0.6200  lr: 0.0000 
ep/it:179- 292 niter: 68850  329m 11s (- 2417m 37s) completed: 11%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0353  acc: 0.6236  lr: 0.0000 
ep/it:179- 342 niter: 68900  329m 25s (- 2417m 20s) completed: 11%) loss_emb: 0.0000  loss: 1.3037  loss_TTT: 0.0348  acc: 0.6168  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.606
Improved accuracy from 0.60 to 0.6055902061255082!!!

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:12,  3.74it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.51it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.63it/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:  2.452003121841699 avg: 2.452003121841699
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4493839028291404 avg: 2.4506935123354197
--> 	 Eva. Repeat 22 :, FID. 0.1249, Diversity Real. 9.7583, Diversity. 9.9950, R_precision_real. [0.51464844 0.6875     0.79492188], R_precision. [0.51464844 0.68554688 0.79199219], matching_score_real. 2.8779, matching_score_pred. 2.9654, skate_ratio. 0.0442, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4932 (traj_fail_50cm (Traj err)): 0.2939 (kps_fail_20cm): 0.3528 (kps_fail_50cm (Loc. err)): 0.1901 (kps_mean_err(m) (Avg. err)): 0.3432 
ep/it:180-   9 niter: 68950  329m 48s (- 2418m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.2921  loss_TTT: 0.0363  acc: 0.6189  lr: 0.0000 
ep/it:180-  59 niter: 69000  330m 2s (- 2417m 53s) completed: 12%) loss_emb: 0.0000  loss: 1.2992  loss_TTT: 0.0351  acc: 0.6173  lr: 0.0000 
ep/it:180- 109 niter: 69050  330m 16s (- 2417m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0344  acc: 0.6259  lr: 0.0000 
ep/it:180- 159 niter: 69100  330m 30s (- 2417m 19s) completed: 12%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0348  acc: 0.6255  lr: 0.0000 
ep/it:180- 209 niter: 69150  330m 44s (- 2417m 3s) completed: 12%) loss_emb: 0.0000  loss: 1.2777  loss_TTT: 0.0353  acc: 0.6220  lr: 0.0000 
ep/it:180- 259 niter: 69200  330m 58s (- 2416m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0349  acc: 0.6257  lr: 0.0000 
ep/it:180- 309 niter: 69250  331m 11s (- 2416m 26s) completed: 12%) loss_emb: 0.0000  loss: 1.2883  loss_TTT: 0.0363  acc: 0.6206  lr: 0.0000 
ep/it:180- 359 niter: 69300  331m 25s (- 2416m 8s) completed: 12%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0347  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.597
ep/it:181-  26 niter: 69350  331m 42s (- 2416m 7s) completed: 12%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0369  acc: 0.6192  lr: 0.0000 
ep/it:181-  76 niter: 69400  331m 55s (- 2415m 49s) completed: 12%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0331  acc: 0.6288  lr: 0.0000 
ep/it:181- 126 niter: 69450  332m 9s (- 2415m 29s) completed: 12%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0350  acc: 0.6230  lr: 0.0000 
ep/it:181- 176 niter: 69500  332m 23s (- 2415m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.2836  loss_TTT: 0.0340  acc: 0.6227  lr: 0.0000 
ep/it:181- 226 niter: 69550  332m 37s (- 2414m 54s) completed: 12%) loss_emb: 0.0000  loss: 1.2762  loss_TTT: 0.0360  acc: 0.6219  lr: 0.0000 
ep/it:181- 276 niter: 69600  332m 51s (- 2414m 37s) completed: 12%) loss_emb: 0.0000  loss: 1.2973  loss_TTT: 0.0356  acc: 0.6166  lr: 0.0000 
ep/it:181- 326 niter: 69650  333m 4s (- 2414m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.2830  loss_TTT: 0.0354  acc: 0.6221  lr: 0.0000 
ep/it:181- 376 niter: 69700  333m 18s (- 2413m 58s) completed: 12%) loss_emb: 0.0000  loss: 1.2874  loss_TTT: 0.0342  acc: 0.6199  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.603
ep/it:182-  43 niter: 69750  333m 34s (- 2413m 58s) completed: 12%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0343  acc: 0.6279  lr: 0.0000 
ep/it:182-  93 niter: 69800  333m 48s (- 2413m 41s) completed: 12%) loss_emb: 0.0000  loss: 1.2955  loss_TTT: 0.0351  acc: 0.6181  lr: 0.0000 
ep/it:182- 143 niter: 69850  334m 2s (- 2413m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0350  acc: 0.6218  lr: 0.0000 
ep/it:182- 193 niter: 69900  334m 16s (- 2413m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.2819  loss_TTT: 0.0347  acc: 0.6220  lr: 0.0000 
ep/it:182- 243 niter: 69950  334m 30s (- 2412m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.2758  loss_TTT: 0.0339  acc: 0.6246  lr: 0.0000 
ep/it:182- 293 niter: 70000  334m 44s (- 2412m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0350  acc: 0.6203  lr: 0.0000 
ep/it:182- 343 niter: 70050  334m 58s (- 2412m 15s) completed: 12%) loss_emb: 0.0000  loss: 1.2937  loss_TTT: 0.0356  acc: 0.6191  lr: 0.0000 
Validation time:
Validation loss:1.478, accuracy:0.585
ep/it:183-  10 niter: 70100  335m 14s (- 2412m 12s) completed: 12%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0348  acc: 0.6242  lr: 0.0000 
ep/it:183-  60 niter: 70150  335m 28s (- 2411m 53s) completed: 12%) loss_emb: 0.0000  loss: 1.2820  loss_TTT: 0.0349  acc: 0.6227  lr: 0.0000 
ep/it:183- 110 niter: 70200  335m 41s (- 2411m 34s) completed: 12%) loss_emb: 0.0000  loss: 1.2905  loss_TTT: 0.0363  acc: 0.6189  lr: 0.0000 
ep/it:183- 160 niter: 70250  335m 55s (- 2411m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0351  acc: 0.6235  lr: 0.0000 
ep/it:183- 210 niter: 70300  336m 8s (- 2410m 54s) completed: 12%) loss_emb: 0.0000  loss: 1.2365  loss_TTT: 0.0352  acc: 0.6345  lr: 0.0000 
ep/it:183- 260 niter: 70350  336m 22s (- 2410m 34s) completed: 12%) loss_emb: 0.0000  loss: 1.2896  loss_TTT: 0.0368  acc: 0.6194  lr: 0.0000 
ep/it:183- 310 niter: 70400  336m 36s (- 2410m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.2856  loss_TTT: 0.0359  acc: 0.6199  lr: 0.0000 
ep/it:183- 360 niter: 70450  336m 49s (- 2409m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.2767  loss_TTT: 0.0358  acc: 0.6231  lr: 0.0000 
Validation time:
Validation loss:1.478, accuracy:0.586
ep/it:184-  27 niter: 70500  337m 6s (- 2409m 56s) completed: 12%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0343  acc: 0.6289  lr: 0.0000 
ep/it:184-  77 niter: 70550  337m 20s (- 2409m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0355  acc: 0.6263  lr: 0.0000 
ep/it:184- 127 niter: 70600  337m 33s (- 2409m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.2929  loss_TTT: 0.0352  acc: 0.6184  lr: 0.0000 
ep/it:184- 177 niter: 70650  337m 47s (- 2408m 59s) completed: 12%) loss_emb: 0.0000  loss: 1.2509  loss_TTT: 0.0355  acc: 0.6292  lr: 0.0000 
ep/it:184- 227 niter: 70700  338m 1s (- 2408m 40s) completed: 12%) loss_emb: 0.0000  loss: 1.2713  loss_TTT: 0.0341  acc: 0.6244  lr: 0.0000 
ep/it:184- 277 niter: 70750  338m 14s (- 2408m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0337  acc: 0.6249  lr: 0.0000 
ep/it:184- 327 niter: 70800  338m 28s (- 2408m 2s) completed: 12%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0340  acc: 0.6198  lr: 0.0000 
ep/it:184- 377 niter: 70850  338m 42s (- 2407m 43s) completed: 12%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0325  acc: 0.6253  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.601
ep/it:185-  44 niter: 70900  338m 57s (- 2407m 39s) completed: 12%) loss_emb: 0.0000  loss: 1.2858  loss_TTT: 0.0351  acc: 0.6197  lr: 0.0000 
ep/it:185-  94 niter: 70950  339m 11s (- 2407m 22s) completed: 12%) loss_emb: 0.0000  loss: 1.2749  loss_TTT: 0.0341  acc: 0.6234  lr: 0.0000 
ep/it:185- 144 niter: 71000  339m 25s (- 2407m 4s) completed: 12%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0330  acc: 0.6277  lr: 0.0000 
ep/it:185- 194 niter: 71050  339m 39s (- 2406m 49s) completed: 12%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0349  acc: 0.6217  lr: 0.0000 
ep/it:185- 244 niter: 71100  339m 53s (- 2406m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0328  acc: 0.6191  lr: 0.0000 
ep/it:185- 294 niter: 71150  340m 7s (- 2406m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0366  acc: 0.6193  lr: 0.0000 
ep/it:185- 344 niter: 71200  340m 21s (- 2405m 56s) completed: 12%) loss_emb: 0.0000  loss: 1.2903  loss_TTT: 0.0351  acc: 0.6192  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.586
ep/it:186-  11 niter: 71250  340m 37s (- 2405m 54s) completed: 12%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0350  acc: 0.6183  lr: 0.0000 
ep/it:186-  61 niter: 71300  340m 51s (- 2405m 36s) completed: 12%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0341  acc: 0.6246  lr: 0.0000 
ep/it:186- 111 niter: 71350  341m 5s (- 2405m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.2959  loss_TTT: 0.0355  acc: 0.6183  lr: 0.0000 
ep/it:186- 161 niter: 71400  341m 18s (- 2404m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0336  acc: 0.6309  lr: 0.0000 
ep/it:186- 211 niter: 71450  341m 32s (- 2404m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.2974  loss_TTT: 0.0358  acc: 0.6172  lr: 0.0000 
ep/it:186- 261 niter: 71500  341m 46s (- 2404m 19s) completed: 12%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0328  acc: 0.6233  lr: 0.0000 
ep/it:186- 311 niter: 71550  341m 59s (- 2404m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0371  acc: 0.6246  lr: 0.0000 
ep/it:186- 361 niter: 71600  342m 14s (- 2403m 45s) completed: 12%) loss_emb: 0.0000  loss: 1.2932  loss_TTT: 0.0359  acc: 0.6187  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.598
ep/it:187-  28 niter: 71650  342m 31s (- 2403m 51s) completed: 12%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0349  acc: 0.6257  lr: 0.0000 
ep/it:187-  78 niter: 71700  342m 45s (- 2403m 34s) completed: 12%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0346  acc: 0.6239  lr: 0.0000 
ep/it:187- 128 niter: 71750  342m 59s (- 2403m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0357  acc: 0.6247  lr: 0.0000 
ep/it:187- 178 niter: 71800  343m 13s (- 2403m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0366  acc: 0.6269  lr: 0.0000 
ep/it:187- 228 niter: 71850  343m 26s (- 2402m 41s) completed: 12%) loss_emb: 0.0000  loss: 1.2714  loss_TTT: 0.0340  acc: 0.6243  lr: 0.0000 
ep/it:187- 278 niter: 71900  343m 40s (- 2402m 23s) completed: 12%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0341  acc: 0.6275  lr: 0.0000 
ep/it:187- 328 niter: 71950  343m 54s (- 2402m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0341  acc: 0.6240  lr: 0.0000 
ep/it:187- 378 niter: 72000  344m 7s (- 2401m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.3009  loss_TTT: 0.0353  acc: 0.6160  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.595
ep/it:188-  45 niter: 72050  344m 24s (- 2401m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0354  acc: 0.6299  lr: 0.0000 
ep/it:188-  95 niter: 72100  344m 37s (- 2401m 25s) completed: 12%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0339  acc: 0.6270  lr: 0.0000 
ep/it:188- 145 niter: 72150  344m 51s (- 2401m 6s) completed: 12%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0336  acc: 0.6229  lr: 0.0000 
ep/it:188- 195 niter: 72200  345m 5s (- 2400m 47s) completed: 12%) loss_emb: 0.0000  loss: 1.2494  loss_TTT: 0.0350  acc: 0.6305  lr: 0.0000 
ep/it:188- 245 niter: 72250  345m 19s (- 2400m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0328  acc: 0.6214  lr: 0.0000 
ep/it:188- 295 niter: 72300  345m 32s (- 2400m 10s) completed: 12%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0355  acc: 0.6277  lr: 0.0000 
ep/it:188- 345 niter: 72350  345m 46s (- 2399m 53s) completed: 12%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0354  acc: 0.6230  lr: 0.0000 
Validation time:
Validation loss:1.473, accuracy:0.587
ep/it:189-  12 niter: 72400  346m 2s (- 2399m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.3028  loss_TTT: 0.0357  acc: 0.6164  lr: 0.0000 
ep/it:189-  62 niter: 72450  346m 16s (- 2399m 34s) completed: 12%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0349  acc: 0.6241  lr: 0.0000 
ep/it:189- 112 niter: 72500  346m 30s (- 2399m 15s) completed: 12%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0351  acc: 0.6275  lr: 0.0000 
ep/it:189- 162 niter: 72550  346m 44s (- 2399m 0s) completed: 12%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0342  acc: 0.6281  lr: 0.0000 
ep/it:189- 212 niter: 72600  346m 58s (- 2398m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0342  acc: 0.6294  lr: 0.0000 
ep/it:189- 262 niter: 72650  347m 12s (- 2398m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.3012  loss_TTT: 0.0351  acc: 0.6166  lr: 0.0000 
ep/it:189- 312 niter: 72700  347m 27s (- 2398m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0350  acc: 0.6255  lr: 0.0000 
ep/it:189- 362 niter: 72750  347m 41s (- 2397m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.2859  loss_TTT: 0.0348  acc: 0.6201  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.595

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.18it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.43it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.71it/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:  2.4525371263734996 avg: 2.4525371263734996
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.454517589882016 avg: 2.453527358127758
--> 	 Eva. Repeat 22 :, FID. 0.1610, Diversity Real. 9.7992, Diversity. 9.8525, R_precision_real. [0.54296875 0.73339844 0.81738281], R_precision. [0.52734375 0.70898438 0.8125    ], matching_score_real. 2.9027, matching_score_pred. 2.9683, skate_ratio. 0.0423, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5205 (traj_fail_50cm (Traj err)): 0.2695 (kps_fail_20cm): 0.3630 (kps_fail_50cm (Loc. err)): 0.1773 (kps_mean_err(m) (Avg. err)): 0.3340 
ep/it:190-  29 niter: 72800  348m 4s (- 2398m 44s) completed: 12%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0342  acc: 0.6234  lr: 0.0000 
ep/it:190-  79 niter: 72850  348m 18s (- 2398m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0356  acc: 0.6240  lr: 0.0000 
ep/it:190- 129 niter: 72900  348m 32s (- 2398m 11s) completed: 12%) loss_emb: 0.0000  loss: 1.2899  loss_TTT: 0.0350  acc: 0.6199  lr: 0.0000 
ep/it:190- 179 niter: 72950  348m 46s (- 2397m 51s) completed: 12%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0358  acc: 0.6275  lr: 0.0000 
ep/it:190- 229 niter: 73000  348m 59s (- 2397m 33s) completed: 12%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0347  acc: 0.6228  lr: 0.0000 
ep/it:190- 279 niter: 73050  349m 14s (- 2397m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.2914  loss_TTT: 0.0338  acc: 0.6191  lr: 0.0000 
ep/it:190- 329 niter: 73100  349m 28s (- 2397m 4s) completed: 12%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0352  acc: 0.6227  lr: 0.0000 
ep/it:190- 379 niter: 73150  349m 42s (- 2396m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.2672  loss_TTT: 0.0351  acc: 0.6252  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.592
ep/it:191-  46 niter: 73200  349m 58s (- 2396m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.3004  loss_TTT: 0.0345  acc: 0.6163  lr: 0.0000 
ep/it:191-  96 niter: 73250  350m 12s (- 2396m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.2929  loss_TTT: 0.0338  acc: 0.6190  lr: 0.0000 
ep/it:191- 146 niter: 73300  350m 26s (- 2396m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0337  acc: 0.6246  lr: 0.0000 
ep/it:191- 196 niter: 73350  350m 40s (- 2395m 56s) completed: 12%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0362  acc: 0.6218  lr: 0.0000 
ep/it:191- 246 niter: 73400  350m 54s (- 2395m 38s) completed: 12%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0350  acc: 0.6274  lr: 0.0000 
ep/it:191- 296 niter: 73450  351m 8s (- 2395m 20s) completed: 12%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0331  acc: 0.6231  lr: 0.0000 
ep/it:191- 346 niter: 73500  351m 22s (- 2395m 8s) completed: 12%) loss_emb: 0.0000  loss: 1.2462  loss_TTT: 0.0356  acc: 0.6315  lr: 0.0000 
Validation time:
Validation loss:1.467, accuracy:0.588
ep/it:192-  13 niter: 73550  351m 40s (- 2395m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.2951  loss_TTT: 0.0357  acc: 0.6191  lr: 0.0000 
ep/it:192-  63 niter: 73600  351m 54s (- 2394m 59s) completed: 12%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0342  acc: 0.6271  lr: 0.0000 
ep/it:192- 113 niter: 73650  352m 8s (- 2394m 43s) completed: 12%) loss_emb: 0.0000  loss: 1.2729  loss_TTT: 0.0346  acc: 0.6239  lr: 0.0000 
ep/it:192- 163 niter: 73700  352m 22s (- 2394m 24s) completed: 12%) loss_emb: 0.0000  loss: 1.2940  loss_TTT: 0.0351  acc: 0.6179  lr: 0.0000 
ep/it:192- 213 niter: 73750  352m 36s (- 2394m 9s) completed: 12%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0344  acc: 0.6236  lr: 0.0000 
ep/it:192- 263 niter: 73800  352m 50s (- 2393m 52s) completed: 12%) loss_emb: 0.0000  loss: 1.2900  loss_TTT: 0.0355  acc: 0.6200  lr: 0.0000 
ep/it:192- 313 niter: 73850  353m 4s (- 2393m 32s) completed: 12%) loss_emb: 0.0000  loss: 1.2678  loss_TTT: 0.0355  acc: 0.6258  lr: 0.0000 
ep/it:192- 363 niter: 73900  353m 17s (- 2393m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.2542  loss_TTT: 0.0336  acc: 0.6280  lr: 0.0000 
Validation time:
Validation loss:1.465, accuracy:0.588
ep/it:193-  30 niter: 73950  353m 34s (- 2393m 14s) completed: 12%) loss_emb: 0.0000  loss: 1.2853  loss_TTT: 0.0356  acc: 0.6215  lr: 0.0000 
ep/it:193-  80 niter: 74000  353m 48s (- 2392m 57s) completed: 12%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0341  acc: 0.6255  lr: 0.0000 
ep/it:193- 130 niter: 74050  354m 2s (- 2392m 45s) completed: 12%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0349  acc: 0.6272  lr: 0.0000 
ep/it:193- 180 niter: 74100  354m 17s (- 2392m 30s) completed: 12%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0345  acc: 0.6282  lr: 0.0000 
ep/it:193- 230 niter: 74150  354m 31s (- 2392m 13s) completed: 12%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0337  acc: 0.6248  lr: 0.0000 
ep/it:193- 280 niter: 74200  354m 44s (- 2391m 55s) completed: 12%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0328  acc: 0.6245  lr: 0.0000 
ep/it:193- 330 niter: 74250  354m 58s (- 2391m 37s) completed: 12%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0372  acc: 0.6248  lr: 0.0000 
ep/it:193- 380 niter: 74300  355m 12s (- 2391m 18s) completed: 12%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0350  acc: 0.6243  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.599
ep/it:194-  47 niter: 74350  355m 28s (- 2391m 17s) completed: 12%) loss_emb: 0.0000  loss: 1.3016  loss_TTT: 0.0352  acc: 0.6167  lr: 0.0000 
ep/it:194-  97 niter: 74400  355m 42s (- 2390m 59s) completed: 12%) loss_emb: 0.0000  loss: 1.2905  loss_TTT: 0.0344  acc: 0.6197  lr: 0.0000 
ep/it:194- 147 niter: 74450  355m 56s (- 2390m 40s) completed: 12%) loss_emb: 0.0000  loss: 1.2844  loss_TTT: 0.0347  acc: 0.6209  lr: 0.0000 
ep/it:194- 197 niter: 74500  356m 9s (- 2390m 21s) completed: 12%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0336  acc: 0.6250  lr: 0.0000 
ep/it:194- 247 niter: 74550  356m 23s (- 2390m 5s) completed: 12%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0341  acc: 0.6274  lr: 0.0000 
ep/it:194- 297 niter: 74600  356m 37s (- 2389m 48s) completed: 12%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0332  acc: 0.6252  lr: 0.0000 
ep/it:194- 347 niter: 74650  356m 51s (- 2389m 28s) completed: 12%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0360  acc: 0.6228  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.595
ep/it:195-  14 niter: 74700  357m 7s (- 2389m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.2929  loss_TTT: 0.0359  acc: 0.6182  lr: 0.0000 
ep/it:195-  64 niter: 74750  357m 21s (- 2389m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.2898  loss_TTT: 0.0333  acc: 0.6185  lr: 0.0000 
ep/it:195- 114 niter: 74800  357m 34s (- 2388m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.2784  loss_TTT: 0.0359  acc: 0.6234  lr: 0.0000 
ep/it:195- 164 niter: 74850  357m 48s (- 2388m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.2737  loss_TTT: 0.0346  acc: 0.6229  lr: 0.0000 
ep/it:195- 214 niter: 74900  358m 2s (- 2388m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.2910  loss_TTT: 0.0356  acc: 0.6206  lr: 0.0000 
ep/it:195- 264 niter: 74950  358m 15s (- 2387m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.2774  loss_TTT: 0.0338  acc: 0.6225  lr: 0.0000 
ep/it:195- 314 niter: 75000  358m 29s (- 2387m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0359  acc: 0.6210  lr: 0.0000 
ep/it:195- 364 niter: 75050  358m 43s (- 2387m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0358  acc: 0.6210  lr: 0.0000 
Validation time:
Validation loss:1.500, accuracy:0.579
ep/it:196-  31 niter: 75100  358m 59s (- 2387m 14s) completed: 13%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0347  acc: 0.6240  lr: 0.0000 
ep/it:196-  81 niter: 75150  359m 13s (- 2386m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0327  acc: 0.6218  lr: 0.0000 
ep/it:196- 131 niter: 75200  359m 27s (- 2386m 37s) completed: 13%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0338  acc: 0.6253  lr: 0.0000 
ep/it:196- 181 niter: 75250  359m 40s (- 2386m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.2722  loss_TTT: 0.0353  acc: 0.6236  lr: 0.0000 
ep/it:196- 231 niter: 75300  359m 54s (- 2385m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0356  acc: 0.6239  lr: 0.0000 
ep/it:196- 281 niter: 75350  360m 7s (- 2385m 39s) completed: 13%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0355  acc: 0.6242  lr: 0.0000 
ep/it:196- 331 niter: 75400  360m 21s (- 2385m 18s) completed: 13%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0355  acc: 0.6218  lr: 0.0000 
ep/it:196- 381 niter: 75450  360m 34s (- 2384m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0330  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.422, accuracy:0.599
ep/it:197-  48 niter: 75500  360m 51s (- 2384m 57s) completed: 13%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0328  acc: 0.6239  lr: 0.0000 
ep/it:197-  98 niter: 75550  361m 4s (- 2384m 40s) completed: 13%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0333  acc: 0.6212  lr: 0.0000 
ep/it:197- 148 niter: 75600  361m 18s (- 2384m 18s) completed: 13%) loss_emb: 0.0000  loss: 1.2859  loss_TTT: 0.0348  acc: 0.6203  lr: 0.0000 
ep/it:197- 198 niter: 75650  361m 31s (- 2383m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.2724  loss_TTT: 0.0337  acc: 0.6256  lr: 0.0000 
ep/it:197- 248 niter: 75700  361m 45s (- 2383m 40s) completed: 13%) loss_emb: 0.0000  loss: 1.2944  loss_TTT: 0.0360  acc: 0.6188  lr: 0.0000 
ep/it:197- 298 niter: 75750  361m 58s (- 2383m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0332  acc: 0.6244  lr: 0.0000 
ep/it:197- 348 niter: 75800  362m 12s (- 2383m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0351  acc: 0.6236  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.604
ep/it:198-  15 niter: 75850  362m 28s (- 2382m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0345  acc: 0.6219  lr: 0.0000 
ep/it:198-  65 niter: 75900  362m 42s (- 2382m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.2817  loss_TTT: 0.0336  acc: 0.6212  lr: 0.0000 
ep/it:198- 115 niter: 75950  362m 56s (- 2382m 24s) completed: 13%) loss_emb: 0.0000  loss: 1.2822  loss_TTT: 0.0336  acc: 0.6208  lr: 0.0000 
ep/it:198- 165 niter: 76000  363m 10s (- 2382m 5s) completed: 13%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0354  acc: 0.6226  lr: 0.0000 
ep/it:198- 215 niter: 76050  363m 23s (- 2381m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.2972  loss_TTT: 0.0357  acc: 0.6168  lr: 0.0000 
ep/it:198- 265 niter: 76100  363m 37s (- 2381m 28s) completed: 13%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0344  acc: 0.6294  lr: 0.0000 
ep/it:198- 315 niter: 76150  363m 51s (- 2381m 10s) completed: 13%) loss_emb: 0.0000  loss: 1.2868  loss_TTT: 0.0346  acc: 0.6196  lr: 0.0000 
ep/it:198- 365 niter: 76200  364m 4s (- 2380m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.2708  loss_TTT: 0.0345  acc: 0.6248  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.590
ep/it:199-  32 niter: 76250  364m 21s (- 2380m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.2603  loss_TTT: 0.0339  acc: 0.6269  lr: 0.0000 
ep/it:199-  82 niter: 76300  364m 35s (- 2380m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.2809  loss_TTT: 0.0322  acc: 0.6203  lr: 0.0000 
ep/it:199- 132 niter: 76350  364m 48s (- 2380m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.2832  loss_TTT: 0.0342  acc: 0.6204  lr: 0.0000 
ep/it:199- 182 niter: 76400  365m 2s (- 2379m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0344  acc: 0.6259  lr: 0.0000 
ep/it:199- 232 niter: 76450  365m 15s (- 2379m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.2616  loss_TTT: 0.0343  acc: 0.6272  lr: 0.0000 
ep/it:199- 282 niter: 76500  365m 29s (- 2379m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0332  acc: 0.6282  lr: 0.0000 
ep/it:199- 332 niter: 76550  365m 43s (- 2379m 1s) completed: 13%) loss_emb: 0.0000  loss: 1.2894  loss_TTT: 0.0356  acc: 0.6209  lr: 0.0000 
ep/it:199- 382 niter: 76600  365m 57s (- 2378m 43s) completed: 13%) loss_emb: 0.0000  loss: 1.3037  loss_TTT: 0.0358  acc: 0.6149  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.593

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.12it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.41it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.41it/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:  2.45783662609756 avg: 2.45783662609756
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4576336820609868 avg: 2.4577351540792733
--> 	 Eva. Repeat 22 :, FID. 0.1421, Diversity Real. 9.4827, Diversity. 9.3442, R_precision_real. [0.51757812 0.69628906 0.7890625 ], R_precision. [0.515625   0.71777344 0.81054688], matching_score_real. 2.9459, matching_score_pred. 2.9503, skate_ratio. 0.0460, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5342 (traj_fail_50cm (Traj err)): 0.2939 (kps_fail_20cm): 0.3708 (kps_fail_50cm (Loc. err)): 0.1968 (kps_mean_err(m) (Avg. err)): 0.4079 
ep/it:200-  49 niter: 76650  366m 20s (- 2379m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0358  acc: 0.6248  lr: 0.0000 
ep/it:200-  99 niter: 76700  366m 34s (- 2379m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0346  acc: 0.6292  lr: 0.0000 
ep/it:200- 149 niter: 76750  366m 48s (- 2378m 51s) completed: 13%) loss_emb: 0.0000  loss: 1.2679  loss_TTT: 0.0343  acc: 0.6245  lr: 0.0000 
ep/it:200- 199 niter: 76800  367m 2s (- 2378m 33s) completed: 13%) loss_emb: 0.0000  loss: 1.2772  loss_TTT: 0.0338  acc: 0.6227  lr: 0.0000 
ep/it:200- 249 niter: 76850  367m 15s (- 2378m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.2931  loss_TTT: 0.0335  acc: 0.6190  lr: 0.0000 
ep/it:200- 299 niter: 76900  367m 29s (- 2377m 54s) completed: 13%) loss_emb: 0.0000  loss: 1.2545  loss_TTT: 0.0344  acc: 0.6301  lr: 0.0000 
ep/it:200- 349 niter: 76950  367m 42s (- 2377m 34s) completed: 13%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0342  acc: 0.6214  lr: 0.0000 
Validation time:
Validation loss:1.470, accuracy:0.588
ep/it:201-  16 niter: 77000  367m 58s (- 2377m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0335  acc: 0.6211  lr: 0.0000 
ep/it:201-  66 niter: 77050  368m 13s (- 2377m 18s) completed: 13%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0347  acc: 0.6283  lr: 0.0000 
ep/it:201- 116 niter: 77100  368m 27s (- 2377m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.2571  loss_TTT: 0.0334  acc: 0.6302  lr: 0.0000 
ep/it:201- 166 niter: 77150  368m 41s (- 2376m 44s) completed: 13%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0354  acc: 0.6210  lr: 0.0000 
ep/it:201- 216 niter: 77200  368m 55s (- 2376m 28s) completed: 13%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0340  acc: 0.6261  lr: 0.0000 
ep/it:201- 266 niter: 77250  369m 9s (- 2376m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0346  acc: 0.6256  lr: 0.0000 
ep/it:201- 316 niter: 77300  369m 22s (- 2375m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.2576  loss_TTT: 0.0355  acc: 0.6282  lr: 0.0000 
ep/it:201- 366 niter: 77350  369m 36s (- 2375m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.2875  loss_TTT: 0.0332  acc: 0.6195  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.598
ep/it:202-  33 niter: 77400  369m 53s (- 2375m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0346  acc: 0.6261  lr: 0.0000 
ep/it:202-  83 niter: 77450  370m 7s (- 2375m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.2761  loss_TTT: 0.0351  acc: 0.6254  lr: 0.0000 
ep/it:202- 133 niter: 77500  370m 20s (- 2374m 58s) completed: 13%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0356  acc: 0.6258  lr: 0.0000 
ep/it:202- 183 niter: 77550  370m 34s (- 2374m 42s) completed: 13%) loss_emb: 0.0000  loss: 1.2967  loss_TTT: 0.0359  acc: 0.6176  lr: 0.0000 
ep/it:202- 233 niter: 77600  370m 48s (- 2374m 25s) completed: 13%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0349  acc: 0.6304  lr: 0.0000 
ep/it:202- 283 niter: 77650  371m 2s (- 2374m 5s) completed: 13%) loss_emb: 0.0000  loss: 1.2341  loss_TTT: 0.0330  acc: 0.6339  lr: 0.0000 
ep/it:202- 333 niter: 77700  371m 15s (- 2373m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0337  acc: 0.6242  lr: 0.0000 
Validation time:
Validation loss:1.455, accuracy:0.591
ep/it:203-   0 niter: 77750  371m 31s (- 2373m 44s) completed: 13%) loss_emb: 0.0000  loss: 1.2923  loss_TTT: 0.0336  acc: 0.6190  lr: 0.0000 
ep/it:203-  50 niter: 77800  371m 45s (- 2373m 26s) completed: 13%) loss_emb: 0.0000  loss: 1.2865  loss_TTT: 0.0351  acc: 0.6204  lr: 0.0000 
ep/it:203- 100 niter: 77850  371m 59s (- 2373m 9s) completed: 13%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0355  acc: 0.6259  lr: 0.0000 
ep/it:203- 150 niter: 77900  372m 13s (- 2372m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.3011  loss_TTT: 0.0341  acc: 0.6167  lr: 0.0000 
ep/it:203- 200 niter: 77950  372m 26s (- 2372m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0345  acc: 0.6284  lr: 0.0000 
ep/it:203- 250 niter: 78000  372m 40s (- 2372m 15s) completed: 13%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0340  acc: 0.6251  lr: 0.0000 
ep/it:203- 300 niter: 78050  372m 54s (- 2371m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0356  acc: 0.6200  lr: 0.0000 
ep/it:203- 350 niter: 78100  373m 8s (- 2371m 41s) completed: 13%) loss_emb: 0.0000  loss: 1.2779  loss_TTT: 0.0347  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.593
ep/it:204-  17 niter: 78150  373m 24s (- 2371m 37s) completed: 13%) loss_emb: 0.0000  loss: 1.3054  loss_TTT: 0.0343  acc: 0.6147  lr: 0.0000 
ep/it:204-  67 niter: 78200  373m 38s (- 2371m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.2804  loss_TTT: 0.0334  acc: 0.6225  lr: 0.0000 
ep/it:204- 117 niter: 78250  373m 52s (- 2371m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0342  acc: 0.6246  lr: 0.0000 
ep/it:204- 167 niter: 78300  374m 5s (- 2370m 43s) completed: 13%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0359  acc: 0.6300  lr: 0.0000 
ep/it:204- 217 niter: 78350  374m 19s (- 2370m 25s) completed: 13%) loss_emb: 0.0000  loss: 1.2847  loss_TTT: 0.0341  acc: 0.6208  lr: 0.0000 
ep/it:204- 267 niter: 78400  374m 33s (- 2370m 8s) completed: 13%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0332  acc: 0.6277  lr: 0.0000 
ep/it:204- 317 niter: 78450  374m 47s (- 2369m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.2857  loss_TTT: 0.0344  acc: 0.6206  lr: 0.0000 
ep/it:204- 367 niter: 78500  375m 1s (- 2369m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.2517  loss_TTT: 0.0333  acc: 0.6290  lr: 0.0000 
Validation time:
Validation loss:1.421, accuracy:0.600
ep/it:205-  34 niter: 78550  375m 17s (- 2369m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0344  acc: 0.6262  lr: 0.0000 
ep/it:205-  84 niter: 78600  375m 31s (- 2369m 13s) completed: 13%) loss_emb: 0.0000  loss: 1.2938  loss_TTT: 0.0342  acc: 0.6178  lr: 0.0000 
ep/it:205- 134 niter: 78650  375m 45s (- 2368m 56s) completed: 13%) loss_emb: 0.0000  loss: 1.2919  loss_TTT: 0.0340  acc: 0.6191  lr: 0.0000 
ep/it:205- 184 niter: 78700  375m 59s (- 2368m 39s) completed: 13%) loss_emb: 0.0000  loss: 1.2616  loss_TTT: 0.0349  acc: 0.6267  lr: 0.0000 
ep/it:205- 234 niter: 78750  376m 12s (- 2368m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.2804  loss_TTT: 0.0337  acc: 0.6220  lr: 0.0000 
ep/it:205- 284 niter: 78800  376m 26s (- 2368m 0s) completed: 13%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0329  acc: 0.6279  lr: 0.0000 
ep/it:205- 334 niter: 78850  376m 39s (- 2367m 40s) completed: 13%) loss_emb: 0.0000  loss: 1.2908  loss_TTT: 0.0344  acc: 0.6190  lr: 0.0000 
Validation time:
Validation loss:1.439, accuracy:0.598
ep/it:206-   1 niter: 78900  376m 55s (- 2367m 37s) completed: 13%) loss_emb: 0.0000  loss: 1.2885  loss_TTT: 0.0375  acc: 0.6193  lr: 0.0000 
ep/it:206-  51 niter: 78950  377m 9s (- 2367m 20s) completed: 13%) loss_emb: 0.0000  loss: 1.2857  loss_TTT: 0.0346  acc: 0.6188  lr: 0.0000 
ep/it:206- 101 niter: 79000  377m 23s (- 2367m 2s) completed: 13%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0356  acc: 0.6309  lr: 0.0000 
ep/it:206- 151 niter: 79050  377m 37s (- 2366m 47s) completed: 13%) loss_emb: 0.0000  loss: 1.2705  loss_TTT: 0.0339  acc: 0.6235  lr: 0.0000 
ep/it:206- 201 niter: 79100  377m 51s (- 2366m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0347  acc: 0.6267  lr: 0.0000 
ep/it:206- 251 niter: 79150  378m 5s (- 2366m 13s) completed: 13%) loss_emb: 0.0000  loss: 1.2896  loss_TTT: 0.0354  acc: 0.6201  lr: 0.0000 
ep/it:206- 301 niter: 79200  378m 18s (- 2365m 53s) completed: 13%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0337  acc: 0.6198  lr: 0.0000 
ep/it:206- 351 niter: 79250  378m 32s (- 2365m 35s) completed: 13%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0347  acc: 0.6219  lr: 0.0000 
Validation time:
Validation loss:1.459, accuracy:0.592
ep/it:207-  18 niter: 79300  378m 48s (- 2365m 32s) completed: 13%) loss_emb: 0.0000  loss: 1.2667  loss_TTT: 0.0330  acc: 0.6256  lr: 0.0000 
ep/it:207-  68 niter: 79350  379m 2s (- 2365m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0340  acc: 0.6202  lr: 0.0000 
ep/it:207- 118 niter: 79400  379m 16s (- 2364m 55s) completed: 13%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0350  acc: 0.6222  lr: 0.0000 
ep/it:207- 168 niter: 79450  379m 29s (- 2364m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0349  acc: 0.6274  lr: 0.0000 
ep/it:207- 218 niter: 79500  379m 43s (- 2364m 19s) completed: 13%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0337  acc: 0.6288  lr: 0.0000 
ep/it:207- 268 niter: 79550  379m 57s (- 2364m 5s) completed: 13%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0334  acc: 0.6338  lr: 0.0000 
ep/it:207- 318 niter: 79600  380m 11s (- 2363m 48s) completed: 13%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0345  acc: 0.6212  lr: 0.0000 
ep/it:207- 368 niter: 79650  380m 25s (- 2363m 28s) completed: 13%) loss_emb: 0.0000  loss: 1.3097  loss_TTT: 0.0333  acc: 0.6116  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:208-  35 niter: 79700  380m 41s (- 2363m 25s) completed: 13%) loss_emb: 0.0000  loss: 1.2807  loss_TTT: 0.0354  acc: 0.6221  lr: 0.0000 
ep/it:208-  85 niter: 79750  380m 55s (- 2363m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.2675  loss_TTT: 0.0337  acc: 0.6244  lr: 0.0000 
ep/it:208- 135 niter: 79800  381m 9s (- 2362m 50s) completed: 13%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0332  acc: 0.6244  lr: 0.0000 
ep/it:208- 185 niter: 79850  381m 22s (- 2362m 30s) completed: 13%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0347  acc: 0.6261  lr: 0.0000 
ep/it:208- 235 niter: 79900  381m 36s (- 2362m 12s) completed: 13%) loss_emb: 0.0000  loss: 1.2872  loss_TTT: 0.0335  acc: 0.6185  lr: 0.0000 
ep/it:208- 285 niter: 79950  381m 49s (- 2361m 52s) completed: 13%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0348  acc: 0.6213  lr: 0.0000 
ep/it:208- 335 niter: 80000  382m 3s (- 2361m 36s) completed: 13%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0357  acc: 0.6287  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:209-   2 niter: 80050  382m 19s (- 2361m 34s) completed: 13%) loss_emb: 0.0000  loss: 1.2776  loss_TTT: 0.0340  acc: 0.6234  lr: 0.0000 
ep/it:209-  52 niter: 80100  382m 33s (- 2361m 17s) completed: 13%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0366  acc: 0.6193  lr: 0.0000 
ep/it:209- 102 niter: 80150  382m 47s (- 2360m 59s) completed: 13%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0350  acc: 0.6230  lr: 0.0000 
ep/it:209- 152 niter: 80200  383m 1s (- 2360m 45s) completed: 13%) loss_emb: 0.0000  loss: 1.2597  loss_TTT: 0.0348  acc: 0.6274  lr: 0.0000 
ep/it:209- 202 niter: 80250  383m 15s (- 2360m 27s) completed: 13%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0340  acc: 0.6207  lr: 0.0000 
ep/it:209- 252 niter: 80300  383m 29s (- 2360m 7s) completed: 13%) loss_emb: 0.0000  loss: 1.2725  loss_TTT: 0.0337  acc: 0.6234  lr: 0.0000 
ep/it:209- 302 niter: 80350  383m 42s (- 2359m 49s) completed: 13%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0349  acc: 0.6207  lr: 0.0000 
ep/it:209- 352 niter: 80400  383m 56s (- 2359m 31s) completed: 13%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0337  acc: 0.6216  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.597

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:12,  3.64it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.46it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.73it/s]
100%|██████████| 47/47 [00:05<00:00,  8.14it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.484134737867862 avg: 2.484134737867862
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4495252519845963 avg: 2.466829994926229
--> 	 Eva. Repeat 22 :, FID. 0.1306, Diversity Real. 9.9206, Diversity. 10.0252, R_precision_real. [0.49414062 0.68261719 0.78515625], R_precision. [0.49316406 0.68554688 0.78515625], matching_score_real. 2.9465, matching_score_pred. 2.9825, skate_ratio. 0.0434, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4971 (traj_fail_50cm (Traj err)): 0.2793 (kps_fail_20cm): 0.3502 (kps_fail_50cm (Loc. err)): 0.1888 (kps_mean_err(m) (Avg. err)): 0.3417 
ep/it:210-  19 niter: 80450  384m 19s (- 2360m 8s) completed: 14%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0345  acc: 0.6272  lr: 0.0000 
ep/it:210-  69 niter: 80500  384m 33s (- 2359m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.2590  loss_TTT: 0.0356  acc: 0.6272  lr: 0.0000 
ep/it:210- 119 niter: 80550  384m 47s (- 2359m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0324  acc: 0.6271  lr: 0.0000 
ep/it:210- 169 niter: 80600  385m 0s (- 2359m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0329  acc: 0.6298  lr: 0.0000 
ep/it:210- 219 niter: 80650  385m 14s (- 2358m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0343  acc: 0.6249  lr: 0.0000 
ep/it:210- 269 niter: 80700  385m 28s (- 2358m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0353  acc: 0.6251  lr: 0.0000 
ep/it:210- 319 niter: 80750  385m 41s (- 2358m 21s) completed: 14%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0343  acc: 0.6207  lr: 0.0000 
ep/it:210- 369 niter: 80800  385m 55s (- 2358m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.2678  loss_TTT: 0.0357  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.597
ep/it:211-  36 niter: 80850  386m 12s (- 2358m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.3168  loss_TTT: 0.0354  acc: 0.6131  lr: 0.0000 
ep/it:211-  86 niter: 80900  386m 26s (- 2357m 48s) completed: 14%) loss_emb: 0.0000  loss: 1.2880  loss_TTT: 0.0331  acc: 0.6183  lr: 0.0000 
ep/it:211- 136 niter: 80950  386m 40s (- 2357m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0344  acc: 0.6279  lr: 0.0000 
ep/it:211- 186 niter: 81000  386m 53s (- 2357m 12s) completed: 14%) loss_emb: 0.0000  loss: 1.2920  loss_TTT: 0.0339  acc: 0.6180  lr: 0.0000 
ep/it:211- 236 niter: 81050  387m 7s (- 2356m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.2292  loss_TTT: 0.0340  acc: 0.6363  lr: 0.0000 
ep/it:211- 286 niter: 81100  387m 21s (- 2356m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.2905  loss_TTT: 0.0341  acc: 0.6181  lr: 0.0000 
ep/it:211- 336 niter: 81150  387m 35s (- 2356m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0348  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.587
ep/it:212-   3 niter: 81200  387m 51s (- 2356m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.2709  loss_TTT: 0.0335  acc: 0.6248  lr: 0.0000 
ep/it:212-  53 niter: 81250  388m 5s (- 2356m 0s) completed: 14%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0334  acc: 0.6285  lr: 0.0000 
ep/it:212- 103 niter: 81300  388m 19s (- 2355m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.2841  loss_TTT: 0.0347  acc: 0.6209  lr: 0.0000 
ep/it:212- 153 niter: 81350  388m 33s (- 2355m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0349  acc: 0.6203  lr: 0.0000 
ep/it:212- 203 niter: 81400  388m 47s (- 2355m 11s) completed: 14%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0344  acc: 0.6308  lr: 0.0000 
ep/it:212- 253 niter: 81450  389m 1s (- 2354m 55s) completed: 14%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0330  acc: 0.6259  lr: 0.0000 
ep/it:212- 303 niter: 81500  389m 15s (- 2354m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0339  acc: 0.6309  lr: 0.0000 
ep/it:212- 353 niter: 81550  389m 29s (- 2354m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0347  acc: 0.6293  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.588
ep/it:213-  20 niter: 81600  389m 45s (- 2354m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0334  acc: 0.6218  lr: 0.0000 
ep/it:213-  70 niter: 81650  389m 58s (- 2353m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0349  acc: 0.6261  lr: 0.0000 
ep/it:213- 120 niter: 81700  390m 12s (- 2353m 42s) completed: 14%) loss_emb: 0.0000  loss: 1.2733  loss_TTT: 0.0350  acc: 0.6238  lr: 0.0000 
ep/it:213- 170 niter: 81750  390m 27s (- 2353m 27s) completed: 14%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0344  acc: 0.6242  lr: 0.0000 
ep/it:213- 220 niter: 81800  390m 41s (- 2353m 10s) completed: 14%) loss_emb: 0.0000  loss: 1.2906  loss_TTT: 0.0327  acc: 0.6182  lr: 0.0000 
ep/it:213- 270 niter: 81850  390m 55s (- 2352m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.2874  loss_TTT: 0.0352  acc: 0.6199  lr: 0.0000 
ep/it:213- 320 niter: 81900  391m 8s (- 2352m 36s) completed: 14%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0343  acc: 0.6256  lr: 0.0000 
ep/it:213- 370 niter: 81950  391m 22s (- 2352m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.2746  loss_TTT: 0.0338  acc: 0.6243  lr: 0.0000 
Validation time:
Validation loss:1.494, accuracy:0.581
ep/it:214-  37 niter: 82000  391m 39s (- 2352m 18s) completed: 14%) loss_emb: 0.0000  loss: 1.2843  loss_TTT: 0.0348  acc: 0.6211  lr: 0.0000 
ep/it:214-  87 niter: 82050  391m 53s (- 2352m 3s) completed: 14%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0334  acc: 0.6277  lr: 0.0000 
ep/it:214- 137 niter: 82100  392m 7s (- 2351m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.2833  loss_TTT: 0.0339  acc: 0.6209  lr: 0.0000 
ep/it:214- 187 niter: 82150  392m 21s (- 2351m 28s) completed: 14%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0328  acc: 0.6208  lr: 0.0000 
ep/it:214- 237 niter: 82200  392m 34s (- 2351m 10s) completed: 14%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0368  acc: 0.6214  lr: 0.0000 
ep/it:214- 287 niter: 82250  392m 48s (- 2350m 53s) completed: 14%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0342  acc: 0.6256  lr: 0.0000 
ep/it:214- 337 niter: 82300  393m 2s (- 2350m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.2331  loss_TTT: 0.0359  acc: 0.6342  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.589
ep/it:215-   4 niter: 82350  393m 18s (- 2350m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0355  acc: 0.6219  lr: 0.0000 
ep/it:215-  54 niter: 82400  393m 32s (- 2350m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0333  acc: 0.6246  lr: 0.0000 
ep/it:215- 104 niter: 82450  393m 46s (- 2349m 56s) completed: 14%) loss_emb: 0.0000  loss: 1.2489  loss_TTT: 0.0345  acc: 0.6304  lr: 0.0000 
ep/it:215- 154 niter: 82500  393m 59s (- 2349m 38s) completed: 14%) loss_emb: 0.0000  loss: 1.2978  loss_TTT: 0.0348  acc: 0.6175  lr: 0.0000 
ep/it:215- 204 niter: 82550  394m 14s (- 2349m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.2921  loss_TTT: 0.0336  acc: 0.6184  lr: 0.0000 
ep/it:215- 254 niter: 82600  394m 28s (- 2349m 7s) completed: 14%) loss_emb: 0.0000  loss: 1.2888  loss_TTT: 0.0353  acc: 0.6193  lr: 0.0000 
ep/it:215- 304 niter: 82650  394m 41s (- 2348m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0336  acc: 0.6266  lr: 0.0000 
ep/it:215- 354 niter: 82700  394m 55s (- 2348m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0348  acc: 0.6287  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.593
ep/it:216-  21 niter: 82750  395m 12s (- 2348m 33s) completed: 14%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0339  acc: 0.6259  lr: 0.0000 
ep/it:216-  71 niter: 82800  395m 26s (- 2348m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.2714  loss_TTT: 0.0329  acc: 0.6240  lr: 0.0000 
ep/it:216- 121 niter: 82850  395m 40s (- 2348m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.2677  loss_TTT: 0.0340  acc: 0.6256  lr: 0.0000 
ep/it:216- 171 niter: 82900  395m 54s (- 2347m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.2476  loss_TTT: 0.0339  acc: 0.6314  lr: 0.0000 
ep/it:216- 221 niter: 82950  396m 8s (- 2347m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.2355  loss_TTT: 0.0337  acc: 0.6346  lr: 0.0000 
ep/it:216- 271 niter: 83000  396m 22s (- 2347m 12s) completed: 14%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0335  acc: 0.6267  lr: 0.0000 
ep/it:216- 321 niter: 83050  396m 37s (- 2346m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0352  acc: 0.6196  lr: 0.0000 
ep/it:216- 371 niter: 83100  396m 51s (- 2346m 44s) completed: 14%) loss_emb: 0.0000  loss: 1.2350  loss_TTT: 0.0341  acc: 0.6346  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.596
ep/it:217-  38 niter: 83150  397m 7s (- 2346m 43s) completed: 14%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0336  acc: 0.6265  lr: 0.0000 
ep/it:217-  88 niter: 83200  397m 22s (- 2346m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.2839  loss_TTT: 0.0344  acc: 0.6211  lr: 0.0000 
ep/it:217- 138 niter: 83250  397m 36s (- 2346m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0351  acc: 0.6234  lr: 0.0000 
ep/it:217- 188 niter: 83300  397m 50s (- 2345m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.2861  loss_TTT: 0.0335  acc: 0.6211  lr: 0.0000 
ep/it:217- 238 niter: 83350  398m 4s (- 2345m 42s) completed: 14%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0329  acc: 0.6260  lr: 0.0000 
ep/it:217- 288 niter: 83400  398m 18s (- 2345m 24s) completed: 14%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0332  acc: 0.6281  lr: 0.0000 
ep/it:217- 338 niter: 83450  398m 31s (- 2345m 6s) completed: 14%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0344  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.599
ep/it:218-   5 niter: 83500  398m 48s (- 2345m 4s) completed: 14%) loss_emb: 0.0000  loss: 1.2714  loss_TTT: 0.0369  acc: 0.6256  lr: 0.0000 
ep/it:218-  55 niter: 83550  399m 2s (- 2344m 49s) completed: 14%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0346  acc: 0.6274  lr: 0.0000 
ep/it:218- 105 niter: 83600  399m 16s (- 2344m 32s) completed: 14%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0348  acc: 0.6250  lr: 0.0000 
ep/it:218- 155 niter: 83650  399m 31s (- 2344m 20s) completed: 14%) loss_emb: 0.0000  loss: 1.2742  loss_TTT: 0.0339  acc: 0.6233  lr: 0.0000 
ep/it:218- 205 niter: 83700  399m 45s (- 2344m 5s) completed: 14%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0347  acc: 0.6265  lr: 0.0000 
ep/it:218- 255 niter: 83750  399m 59s (- 2343m 50s) completed: 14%) loss_emb: 0.0000  loss: 1.2850  loss_TTT: 0.0337  acc: 0.6212  lr: 0.0000 
ep/it:218- 305 niter: 83800  400m 13s (- 2343m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.2585  loss_TTT: 0.0341  acc: 0.6279  lr: 0.0000 
ep/it:218- 355 niter: 83850  400m 27s (- 2343m 17s) completed: 14%) loss_emb: 0.0000  loss: 1.2633  loss_TTT: 0.0334  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.441, accuracy:0.595
ep/it:219-  22 niter: 83900  400m 43s (- 2343m 15s) completed: 14%) loss_emb: 0.0000  loss: 1.2815  loss_TTT: 0.0341  acc: 0.6211  lr: 0.0000 
ep/it:219-  72 niter: 83950  400m 57s (- 2342m 58s) completed: 14%) loss_emb: 0.0000  loss: 1.2855  loss_TTT: 0.0341  acc: 0.6210  lr: 0.0000 
ep/it:219- 122 niter: 84000  401m 11s (- 2342m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.2903  loss_TTT: 0.0361  acc: 0.6211  lr: 0.0000 
ep/it:219- 172 niter: 84050  401m 26s (- 2342m 27s) completed: 14%) loss_emb: 0.0000  loss: 1.2701  loss_TTT: 0.0341  acc: 0.6238  lr: 0.0000 
ep/it:219- 222 niter: 84100  401m 39s (- 2342m 10s) completed: 14%) loss_emb: 0.0000  loss: 1.2590  loss_TTT: 0.0331  acc: 0.6280  lr: 0.0000 
ep/it:219- 272 niter: 84150  401m 54s (- 2341m 54s) completed: 14%) loss_emb: 0.0000  loss: 1.2963  loss_TTT: 0.0346  acc: 0.6166  lr: 0.0000 
ep/it:219- 322 niter: 84200  402m 7s (- 2341m 34s) completed: 14%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0326  acc: 0.6297  lr: 0.0000 
ep/it:219- 372 niter: 84250  402m 21s (- 2341m 16s) completed: 14%) loss_emb: 0.0000  loss: 1.2466  loss_TTT: 0.0347  acc: 0.6301  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.598

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.16it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.44it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.66it/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:  2.4520433750003576 avg: 2.4520433750003576
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4542705579660833 avg: 2.4531569664832205
--> 	 Eva. Repeat 22 :, FID. 0.1231, Diversity Real. 9.5680, Diversity. 9.7569, R_precision_real. [0.53125    0.71191406 0.796875  ], R_precision. [0.51464844 0.70507812 0.79785156], matching_score_real. 2.9054, matching_score_pred. 2.9601, skate_ratio. 0.0457, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4971 (traj_fail_50cm (Traj err)): 0.2930 (kps_fail_20cm): 0.3623 (kps_fail_50cm (Loc. err)): 0.1984 (kps_mean_err(m) (Avg. err)): 0.3429 
ep/it:220-  39 niter: 84300  402m 44s (- 2341m 53s) completed: 14%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0341  acc: 0.6201  lr: 0.0000 
ep/it:220-  89 niter: 84350  402m 58s (- 2341m 37s) completed: 14%) loss_emb: 0.0000  loss: 1.2863  loss_TTT: 0.0329  acc: 0.6190  lr: 0.0000 
ep/it:220- 139 niter: 84400  403m 11s (- 2341m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.2897  loss_TTT: 0.0330  acc: 0.6194  lr: 0.0000 
ep/it:220- 189 niter: 84450  403m 25s (- 2341m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0361  acc: 0.6178  lr: 0.0000 
ep/it:220- 239 niter: 84500  403m 39s (- 2340m 44s) completed: 14%) loss_emb: 0.0000  loss: 1.2950  loss_TTT: 0.0348  acc: 0.6165  lr: 0.0000 
ep/it:220- 289 niter: 84550  403m 53s (- 2340m 28s) completed: 14%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0354  acc: 0.6282  lr: 0.0000 
ep/it:220- 339 niter: 84600  404m 7s (- 2340m 11s) completed: 14%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0328  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.468, accuracy:0.588
ep/it:221-   6 niter: 84650  404m 23s (- 2340m 8s) completed: 14%) loss_emb: 0.0000  loss: 1.2598  loss_TTT: 0.0337  acc: 0.6264  lr: 0.0000 
ep/it:221-  56 niter: 84700  404m 37s (- 2339m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0331  acc: 0.6224  lr: 0.0000 
ep/it:221- 106 niter: 84750  404m 51s (- 2339m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.2852  loss_TTT: 0.0333  acc: 0.6206  lr: 0.0000 
ep/it:221- 156 niter: 84800  405m 5s (- 2339m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.2447  loss_TTT: 0.0353  acc: 0.6310  lr: 0.0000 
ep/it:221- 206 niter: 84850  405m 19s (- 2339m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0331  acc: 0.6260  lr: 0.0000 
ep/it:221- 256 niter: 84900  405m 33s (- 2338m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.2374  loss_TTT: 0.0333  acc: 0.6329  lr: 0.0000 
ep/it:221- 306 niter: 84950  405m 47s (- 2338m 30s) completed: 14%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0358  acc: 0.6244  lr: 0.0000 
ep/it:221- 356 niter: 85000  406m 1s (- 2338m 12s) completed: 14%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0331  acc: 0.6235  lr: 0.0000 
Validation time:
Validation loss:1.409, accuracy:0.604
ep/it:222-  23 niter: 85050  406m 18s (- 2338m 13s) completed: 14%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0344  acc: 0.6321  lr: 0.0000 
ep/it:222-  73 niter: 85100  406m 32s (- 2337m 57s) completed: 14%) loss_emb: 0.0000  loss: 1.2768  loss_TTT: 0.0329  acc: 0.6234  lr: 0.0000 
ep/it:222- 123 niter: 85150  406m 46s (- 2337m 40s) completed: 14%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0346  acc: 0.6201  lr: 0.0000 
ep/it:222- 173 niter: 85200  407m 0s (- 2337m 23s) completed: 14%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0350  acc: 0.6230  lr: 0.0000 
ep/it:222- 223 niter: 85250  407m 14s (- 2337m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.2555  loss_TTT: 0.0336  acc: 0.6284  lr: 0.0000 
ep/it:222- 273 niter: 85300  407m 28s (- 2336m 52s) completed: 14%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0326  acc: 0.6287  lr: 0.0000 
ep/it:222- 323 niter: 85350  407m 42s (- 2336m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0358  acc: 0.6298  lr: 0.0000 
ep/it:222- 373 niter: 85400  407m 56s (- 2336m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0350  acc: 0.6219  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.591
ep/it:223-  40 niter: 85450  408m 13s (- 2336m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.2662  loss_TTT: 0.0353  acc: 0.6265  lr: 0.0000 
ep/it:223-  90 niter: 85500  408m 26s (- 2336m 1s) completed: 14%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0329  acc: 0.6248  lr: 0.0000 
ep/it:223- 140 niter: 85550  408m 40s (- 2335m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0330  acc: 0.6269  lr: 0.0000 
ep/it:223- 190 niter: 85600  408m 54s (- 2335m 29s) completed: 14%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0347  acc: 0.6308  lr: 0.0000 
ep/it:223- 240 niter: 85650  409m 8s (- 2335m 14s) completed: 14%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0323  acc: 0.6228  lr: 0.0000 
ep/it:223- 290 niter: 85700  409m 23s (- 2334m 59s) completed: 14%) loss_emb: 0.0000  loss: 1.2577  loss_TTT: 0.0335  acc: 0.6268  lr: 0.0000 
ep/it:223- 340 niter: 85750  409m 37s (- 2334m 45s) completed: 14%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0345  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.407, accuracy:0.603
ep/it:224-   7 niter: 85800  409m 53s (- 2334m 42s) completed: 14%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0342  acc: 0.6241  lr: 0.0000 
ep/it:224-  57 niter: 85850  410m 8s (- 2334m 26s) completed: 14%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0353  acc: 0.6286  lr: 0.0000 
ep/it:224- 107 niter: 85900  410m 21s (- 2334m 9s) completed: 14%) loss_emb: 0.0000  loss: 1.2524  loss_TTT: 0.0347  acc: 0.6294  lr: 0.0000 
ep/it:224- 157 niter: 85950  410m 35s (- 2333m 51s) completed: 14%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0338  acc: 0.6238  lr: 0.0000 
ep/it:224- 207 niter: 86000  410m 49s (- 2333m 35s) completed: 14%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0340  acc: 0.6243  lr: 0.0000 
ep/it:224- 257 niter: 86050  411m 3s (- 2333m 19s) completed: 14%) loss_emb: 0.0000  loss: 1.2995  loss_TTT: 0.0345  acc: 0.6169  lr: 0.0000 
ep/it:224- 307 niter: 86100  411m 17s (- 2333m 2s) completed: 14%) loss_emb: 0.0000  loss: 1.2551  loss_TTT: 0.0347  acc: 0.6284  lr: 0.0000 
ep/it:224- 357 niter: 86150  411m 31s (- 2332m 46s) completed: 14%) loss_emb: 0.0000  loss: 1.2798  loss_TTT: 0.0334  acc: 0.6218  lr: 0.0000 
Validation time:
Validation loss:1.390, accuracy:0.608
Improved accuracy from 0.61 to 0.60844726147859!!!
ep/it:225-  24 niter: 86200  411m 48s (- 2332m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.2926  loss_TTT: 0.0336  acc: 0.6189  lr: 0.0000 
ep/it:225-  74 niter: 86250  412m 2s (- 2332m 31s) completed: 15%) loss_emb: 0.0000  loss: 1.2681  loss_TTT: 0.0351  acc: 0.6250  lr: 0.0000 
ep/it:225- 124 niter: 86300  412m 16s (- 2332m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0329  acc: 0.6297  lr: 0.0000 
ep/it:225- 174 niter: 86350  412m 30s (- 2331m 56s) completed: 15%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0332  acc: 0.6278  lr: 0.0000 
ep/it:225- 224 niter: 86400  412m 44s (- 2331m 41s) completed: 15%) loss_emb: 0.0000  loss: 1.2765  loss_TTT: 0.0331  acc: 0.6234  lr: 0.0000 
ep/it:225- 274 niter: 86450  412m 57s (- 2331m 20s) completed: 15%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0342  acc: 0.6309  lr: 0.0000 
ep/it:225- 324 niter: 86500  413m 11s (- 2331m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0333  acc: 0.6226  lr: 0.0000 
ep/it:225- 374 niter: 86550  413m 25s (- 2330m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0334  acc: 0.6256  lr: 0.0000 
Validation time:
Validation loss:1.454, accuracy:0.591
ep/it:226-  41 niter: 86600  413m 42s (- 2330m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.2909  loss_TTT: 0.0338  acc: 0.6194  lr: 0.0000 
ep/it:226-  91 niter: 86650  413m 56s (- 2330m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0350  acc: 0.6267  lr: 0.0000 
ep/it:226- 141 niter: 86700  414m 10s (- 2330m 14s) completed: 15%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0333  acc: 0.6227  lr: 0.0000 
ep/it:226- 191 niter: 86750  414m 23s (- 2329m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0337  acc: 0.6225  lr: 0.0000 
ep/it:226- 241 niter: 86800  414m 37s (- 2329m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.2518  loss_TTT: 0.0348  acc: 0.6295  lr: 0.0000 
ep/it:226- 291 niter: 86850  414m 51s (- 2329m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0327  acc: 0.6230  lr: 0.0000 
ep/it:226- 341 niter: 86900  415m 5s (- 2329m 3s) completed: 15%) loss_emb: 0.0000  loss: 1.2890  loss_TTT: 0.0341  acc: 0.6196  lr: 0.0000 
Validation time:
Validation loss:1.436, accuracy:0.597
ep/it:227-   8 niter: 86950  415m 21s (- 2328m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0332  acc: 0.6223  lr: 0.0000 
ep/it:227-  58 niter: 87000  415m 34s (- 2328m 41s) completed: 15%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0333  acc: 0.6261  lr: 0.0000 
ep/it:227- 108 niter: 87050  415m 49s (- 2328m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0335  acc: 0.6329  lr: 0.0000 
ep/it:227- 158 niter: 87100  416m 2s (- 2328m 7s) completed: 15%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0336  acc: 0.6241  lr: 0.0000 
ep/it:227- 208 niter: 87150  416m 16s (- 2327m 51s) completed: 15%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0333  acc: 0.6296  lr: 0.0000 
ep/it:227- 258 niter: 87200  416m 30s (- 2327m 34s) completed: 15%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0321  acc: 0.6273  lr: 0.0000 
ep/it:227- 308 niter: 87250  416m 44s (- 2327m 16s) completed: 15%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0338  acc: 0.6275  lr: 0.0000 
ep/it:227- 358 niter: 87300  416m 58s (- 2327m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.2773  loss_TTT: 0.0334  acc: 0.6230  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.605
ep/it:228-  25 niter: 87350  417m 14s (- 2326m 56s) completed: 15%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0341  acc: 0.6312  lr: 0.0000 
ep/it:228-  75 niter: 87400  417m 28s (- 2326m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0338  acc: 0.6250  lr: 0.0000 
ep/it:228- 125 niter: 87450  417m 42s (- 2326m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.2750  loss_TTT: 0.0365  acc: 0.6241  lr: 0.0000 
ep/it:228- 175 niter: 87500  417m 55s (- 2326m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.2840  loss_TTT: 0.0352  acc: 0.6203  lr: 0.0000 
ep/it:228- 225 niter: 87550  418m 9s (- 2325m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0346  acc: 0.6251  lr: 0.0000 
ep/it:228- 275 niter: 87600  418m 23s (- 2325m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.2800  loss_TTT: 0.0327  acc: 0.6205  lr: 0.0000 
ep/it:228- 325 niter: 87650  418m 37s (- 2325m 16s) completed: 15%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0333  acc: 0.6289  lr: 0.0000 
ep/it:228- 375 niter: 87700  418m 51s (- 2324m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0328  acc: 0.6293  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.593
ep/it:229-  42 niter: 87750  419m 7s (- 2324m 54s) completed: 15%) loss_emb: 0.0000  loss: 1.2464  loss_TTT: 0.0336  acc: 0.6296  lr: 0.0000 
ep/it:229-  92 niter: 87800  419m 21s (- 2324m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.3024  loss_TTT: 0.0348  acc: 0.6167  lr: 0.0000 
ep/it:229- 142 niter: 87850  419m 35s (- 2324m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.2884  loss_TTT: 0.0324  acc: 0.6194  lr: 0.0000 
ep/it:229- 192 niter: 87900  419m 48s (- 2324m 2s) completed: 15%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0327  acc: 0.6261  lr: 0.0000 
ep/it:229- 242 niter: 87950  420m 2s (- 2323m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.2945  loss_TTT: 0.0346  acc: 0.6177  lr: 0.0000 
ep/it:229- 292 niter: 88000  420m 16s (- 2323m 27s) completed: 15%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0350  acc: 0.6284  lr: 0.0000 
ep/it:229- 342 niter: 88050  420m 30s (- 2323m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0346  acc: 0.6263  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.597

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.16it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.14it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.64it/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:  2.4698236999101937 avg: 2.4698236999101937
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.451804911252111 avg: 2.4608143055811524
--> 	 Eva. Repeat 22 :, FID. 0.1224, Diversity Real. 9.4817, Diversity. 9.8899, R_precision_real. [0.52050781 0.70605469 0.79101562], R_precision. [0.50195312 0.70214844 0.78808594], matching_score_real. 2.9480, matching_score_pred. 2.9951, skate_ratio. 0.0445, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5166 (traj_fail_50cm (Traj err)): 0.2959 (kps_fail_20cm): 0.3676 (kps_fail_50cm (Loc. err)): 0.1908 (kps_mean_err(m) (Avg. err)): 0.3407 
ep/it:230-   9 niter: 88100  420m 53s (- 2323m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0338  acc: 0.6287  lr: 0.0000 
ep/it:230-  59 niter: 88150  421m 7s (- 2323m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0349  acc: 0.6226  lr: 0.0000 
ep/it:230- 109 niter: 88200  421m 21s (- 2323m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.2995  loss_TTT: 0.0351  acc: 0.6171  lr: 0.0000 
ep/it:230- 159 niter: 88250  421m 34s (- 2322m 52s) completed: 15%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0340  acc: 0.6244  lr: 0.0000 
ep/it:230- 209 niter: 88300  421m 48s (- 2322m 36s) completed: 15%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0344  acc: 0.6206  lr: 0.0000 
ep/it:230- 259 niter: 88350  422m 2s (- 2322m 19s) completed: 15%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0341  acc: 0.6247  lr: 0.0000 
ep/it:230- 309 niter: 88400  422m 16s (- 2322m 2s) completed: 15%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0330  acc: 0.6247  lr: 0.0000 
ep/it:230- 359 niter: 88450  422m 30s (- 2321m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0342  acc: 0.6301  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.594
ep/it:231-  26 niter: 88500  422m 46s (- 2321m 41s) completed: 15%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0342  acc: 0.6269  lr: 0.0000 
ep/it:231-  76 niter: 88550  423m 1s (- 2321m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0330  acc: 0.6273  lr: 0.0000 
ep/it:231- 126 niter: 88600  423m 14s (- 2321m 11s) completed: 15%) loss_emb: 0.0000  loss: 1.2661  loss_TTT: 0.0336  acc: 0.6249  lr: 0.0000 
ep/it:231- 176 niter: 88650  423m 28s (- 2320m 52s) completed: 15%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0347  acc: 0.6253  lr: 0.0000 
ep/it:231- 226 niter: 88700  423m 42s (- 2320m 35s) completed: 15%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0332  acc: 0.6275  lr: 0.0000 
ep/it:231- 276 niter: 88750  423m 56s (- 2320m 18s) completed: 15%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0338  acc: 0.6259  lr: 0.0000 
ep/it:231- 326 niter: 88800  424m 10s (- 2320m 1s) completed: 15%) loss_emb: 0.0000  loss: 1.2770  loss_TTT: 0.0340  acc: 0.6217  lr: 0.0000 
ep/it:231- 376 niter: 88850  424m 24s (- 2319m 45s) completed: 15%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0338  acc: 0.6274  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.600
ep/it:232-  43 niter: 88900  424m 41s (- 2319m 46s) completed: 15%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0338  acc: 0.6256  lr: 0.0000 
ep/it:232-  93 niter: 88950  424m 55s (- 2319m 29s) completed: 15%) loss_emb: 0.0000  loss: 1.2372  loss_TTT: 0.0318  acc: 0.6322  lr: 0.0000 
ep/it:232- 143 niter: 89000  425m 9s (- 2319m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0347  acc: 0.6299  lr: 0.0000 
ep/it:232- 193 niter: 89050  425m 23s (- 2318m 59s) completed: 15%) loss_emb: 0.0000  loss: 1.2612  loss_TTT: 0.0314  acc: 0.6263  lr: 0.0000 
ep/it:232- 243 niter: 89100  425m 37s (- 2318m 42s) completed: 15%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0334  acc: 0.6208  lr: 0.0000 
ep/it:232- 293 niter: 89150  425m 51s (- 2318m 26s) completed: 15%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0342  acc: 0.6221  lr: 0.0000 
ep/it:232- 343 niter: 89200  426m 5s (- 2318m 9s) completed: 15%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0357  acc: 0.6274  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.596
ep/it:233-  10 niter: 89250  426m 21s (- 2318m 5s) completed: 15%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0351  acc: 0.6256  lr: 0.0000 
ep/it:233-  60 niter: 89300  426m 35s (- 2317m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0341  acc: 0.6247  lr: 0.0000 
ep/it:233- 110 niter: 89350  426m 49s (- 2317m 33s) completed: 15%) loss_emb: 0.0000  loss: 1.2859  loss_TTT: 0.0339  acc: 0.6200  lr: 0.0000 
ep/it:233- 160 niter: 89400  427m 3s (- 2317m 17s) completed: 15%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0335  acc: 0.6289  lr: 0.0000 
ep/it:233- 210 niter: 89450  427m 17s (- 2317m 0s) completed: 15%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0332  acc: 0.6261  lr: 0.0000 
ep/it:233- 260 niter: 89500  427m 31s (- 2316m 44s) completed: 15%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0336  acc: 0.6269  lr: 0.0000 
ep/it:233- 310 niter: 89550  427m 45s (- 2316m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0352  acc: 0.6220  lr: 0.0000 
ep/it:233- 360 niter: 89600  427m 58s (- 2316m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0340  acc: 0.6303  lr: 0.0000 
Validation time:
Validation loss:1.442, accuracy:0.593
ep/it:234-  27 niter: 89650  428m 15s (- 2316m 6s) completed: 15%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0346  acc: 0.6183  lr: 0.0000 
ep/it:234-  77 niter: 89700  428m 29s (- 2315m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0349  acc: 0.6226  lr: 0.0000 
ep/it:234- 127 niter: 89750  428m 42s (- 2315m 31s) completed: 15%) loss_emb: 0.0000  loss: 1.2767  loss_TTT: 0.0327  acc: 0.6221  lr: 0.0000 
ep/it:234- 177 niter: 89800  428m 56s (- 2315m 15s) completed: 15%) loss_emb: 0.0000  loss: 1.2720  loss_TTT: 0.0346  acc: 0.6236  lr: 0.0000 
ep/it:234- 227 niter: 89850  429m 10s (- 2314m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0325  acc: 0.6222  lr: 0.0000 
ep/it:234- 277 niter: 89900  429m 24s (- 2314m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0350  acc: 0.6212  lr: 0.0000 
ep/it:234- 327 niter: 89950  429m 38s (- 2314m 23s) completed: 15%) loss_emb: 0.0000  loss: 1.2813  loss_TTT: 0.0326  acc: 0.6217  lr: 0.0000 
ep/it:234- 377 niter: 90000  429m 51s (- 2314m 6s) completed: 15%) loss_emb: 0.0000  loss: 1.2987  loss_TTT: 0.0353  acc: 0.6182  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.593
ep/it:235-  44 niter: 90050  430m 8s (- 2314m 5s) completed: 15%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0338  acc: 0.6260  lr: 0.0000 
ep/it:235-  94 niter: 90100  430m 22s (- 2313m 49s) completed: 15%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0332  acc: 0.6257  lr: 0.0000 
ep/it:235- 144 niter: 90150  430m 36s (- 2313m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.2844  loss_TTT: 0.0340  acc: 0.6204  lr: 0.0000 
ep/it:235- 194 niter: 90200  430m 50s (- 2313m 13s) completed: 15%) loss_emb: 0.0000  loss: 1.2619  loss_TTT: 0.0328  acc: 0.6266  lr: 0.0000 
ep/it:235- 244 niter: 90250  431m 4s (- 2312m 57s) completed: 15%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0339  acc: 0.6268  lr: 0.0000 
ep/it:235- 294 niter: 90300  431m 18s (- 2312m 44s) completed: 15%) loss_emb: 0.0000  loss: 1.2759  loss_TTT: 0.0353  acc: 0.6223  lr: 0.0000 
ep/it:235- 344 niter: 90350  431m 32s (- 2312m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.2881  loss_TTT: 0.0341  acc: 0.6182  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.597
ep/it:236-  11 niter: 90400  431m 49s (- 2312m 28s) completed: 15%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0343  acc: 0.6311  lr: 0.0000 
ep/it:236-  61 niter: 90450  432m 3s (- 2312m 12s) completed: 15%) loss_emb: 0.0000  loss: 1.3086  loss_TTT: 0.0342  acc: 0.6139  lr: 0.0000 
ep/it:236- 111 niter: 90500  432m 17s (- 2311m 56s) completed: 15%) loss_emb: 0.0000  loss: 1.2407  loss_TTT: 0.0331  acc: 0.6323  lr: 0.0000 
ep/it:236- 161 niter: 90550  432m 32s (- 2311m 43s) completed: 15%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0354  acc: 0.6311  lr: 0.0000 
ep/it:236- 211 niter: 90600  432m 46s (- 2311m 27s) completed: 15%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0331  acc: 0.6259  lr: 0.0000 
ep/it:236- 261 niter: 90650  433m 0s (- 2311m 10s) completed: 15%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0338  acc: 0.6230  lr: 0.0000 
ep/it:236- 311 niter: 90700  433m 13s (- 2310m 52s) completed: 15%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0336  acc: 0.6234  lr: 0.0000 
ep/it:236- 361 niter: 90750  433m 27s (- 2310m 34s) completed: 15%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0351  acc: 0.6249  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.591
ep/it:237-  28 niter: 90800  433m 44s (- 2310m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.2812  loss_TTT: 0.0349  acc: 0.6204  lr: 0.0000 
ep/it:237-  78 niter: 90850  433m 57s (- 2310m 14s) completed: 15%) loss_emb: 0.0000  loss: 1.2918  loss_TTT: 0.0339  acc: 0.6178  lr: 0.0000 
ep/it:237- 128 niter: 90900  434m 11s (- 2309m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0341  acc: 0.6238  lr: 0.0000 
ep/it:237- 178 niter: 90950  434m 25s (- 2309m 40s) completed: 15%) loss_emb: 0.0000  loss: 1.2698  loss_TTT: 0.0327  acc: 0.6243  lr: 0.0000 
ep/it:237- 228 niter: 91000  434m 38s (- 2309m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0340  acc: 0.6241  lr: 0.0000 
ep/it:237- 278 niter: 91050  434m 53s (- 2309m 8s) completed: 15%) loss_emb: 0.0000  loss: 1.2669  loss_TTT: 0.0339  acc: 0.6245  lr: 0.0000 
ep/it:237- 328 niter: 91100  435m 7s (- 2308m 50s) completed: 15%) loss_emb: 0.0000  loss: 1.2663  loss_TTT: 0.0348  acc: 0.6256  lr: 0.0000 
ep/it:237- 378 niter: 91150  435m 20s (- 2308m 32s) completed: 15%) loss_emb: 0.0000  loss: 1.2560  loss_TTT: 0.0336  acc: 0.6275  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.590
ep/it:238-  45 niter: 91200  435m 37s (- 2308m 30s) completed: 15%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0347  acc: 0.6266  lr: 0.0000 
ep/it:238-  95 niter: 91250  435m 51s (- 2308m 14s) completed: 15%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0349  acc: 0.6247  lr: 0.0000 
ep/it:238- 145 niter: 91300  436m 4s (- 2307m 55s) completed: 15%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0339  acc: 0.6223  lr: 0.0000 
ep/it:238- 195 niter: 91350  436m 18s (- 2307m 38s) completed: 15%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0333  acc: 0.6252  lr: 0.0000 
ep/it:238- 245 niter: 91400  436m 32s (- 2307m 22s) completed: 15%) loss_emb: 0.0000  loss: 1.2646  loss_TTT: 0.0309  acc: 0.6245  lr: 0.0000 
ep/it:238- 295 niter: 91450  436m 46s (- 2307m 4s) completed: 15%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0326  acc: 0.6265  lr: 0.0000 
ep/it:238- 345 niter: 91500  436m 59s (- 2306m 47s) completed: 15%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0342  acc: 0.6250  lr: 0.0000 
Validation time:
Validation loss:1.413, accuracy:0.601
ep/it:239-  12 niter: 91550  437m 16s (- 2306m 43s) completed: 15%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0343  acc: 0.6284  lr: 0.0000 
ep/it:239-  62 niter: 91600  437m 30s (- 2306m 25s) completed: 15%) loss_emb: 0.0000  loss: 1.2570  loss_TTT: 0.0333  acc: 0.6286  lr: 0.0000 
ep/it:239- 112 niter: 91650  437m 43s (- 2306m 9s) completed: 15%) loss_emb: 0.0000  loss: 1.2669  loss_TTT: 0.0341  acc: 0.6252  lr: 0.0000 
ep/it:239- 162 niter: 91700  437m 57s (- 2305m 51s) completed: 15%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0328  acc: 0.6230  lr: 0.0000 
ep/it:239- 212 niter: 91750  438m 11s (- 2305m 33s) completed: 15%) loss_emb: 0.0000  loss: 1.2517  loss_TTT: 0.0349  acc: 0.6298  lr: 0.0000 
ep/it:239- 262 niter: 91800  438m 25s (- 2305m 16s) completed: 15%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0344  acc: 0.6274  lr: 0.0000 
ep/it:239- 312 niter: 91850  438m 38s (- 2304m 58s) completed: 15%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0320  acc: 0.6327  lr: 0.0000 
ep/it:239- 362 niter: 91900  438m 52s (- 2304m 39s) completed: 15%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0334  acc: 0.6288  lr: 0.0000 
Validation time:
Validation loss:1.427, accuracy:0.599

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.23it/s]
 34%|███▍      | 16/47 [00:03<00:06,  5.14it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.63it/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:  2.473138678818941 avg: 2.473138678818941
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.448887625709176 avg: 2.4610131522640586
--> 	 Eva. Repeat 22 :, FID. 0.1370, Diversity Real. 9.4924, Diversity. 9.7274, R_precision_real. [0.49414062 0.6953125  0.79101562], R_precision. [0.50488281 0.68847656 0.80078125], matching_score_real. 2.9636, matching_score_pred. 2.9584, skate_ratio. 0.0452, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4980 (traj_fail_50cm (Traj err)): 0.2646 (kps_fail_20cm): 0.3524 (kps_fail_50cm (Loc. err)): 0.1772 (kps_mean_err(m) (Avg. err)): 0.2975 
ep/it:240-  29 niter: 91950  439m 14s (- 2305m 9s) completed: 16%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0333  acc: 0.6275  lr: 0.0000 
ep/it:240-  79 niter: 92000  439m 28s (- 2304m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0360  acc: 0.6295  lr: 0.0000 
ep/it:240- 129 niter: 92050  439m 42s (- 2304m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0361  acc: 0.6251  lr: 0.0000 
ep/it:240- 179 niter: 92100  439m 56s (- 2304m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0339  acc: 0.6220  lr: 0.0000 
ep/it:240- 229 niter: 92150  440m 10s (- 2304m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0342  acc: 0.6254  lr: 0.0000 
ep/it:240- 279 niter: 92200  440m 24s (- 2303m 46s) completed: 16%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0338  acc: 0.6322  lr: 0.0000 
ep/it:240- 329 niter: 92250  440m 38s (- 2303m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.2959  loss_TTT: 0.0337  acc: 0.6172  lr: 0.0000 
ep/it:240- 379 niter: 92300  440m 51s (- 2303m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0326  acc: 0.6269  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.590
ep/it:241-  46 niter: 92350  441m 8s (- 2303m 8s) completed: 16%) loss_emb: 0.0000  loss: 1.2887  loss_TTT: 0.0338  acc: 0.6199  lr: 0.0000 
ep/it:241-  96 niter: 92400  441m 21s (- 2302m 49s) completed: 16%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0349  acc: 0.6308  lr: 0.0000 
ep/it:241- 146 niter: 92450  441m 35s (- 2302m 32s) completed: 16%) loss_emb: 0.0000  loss: 1.2481  loss_TTT: 0.0331  acc: 0.6313  lr: 0.0000 
ep/it:241- 196 niter: 92500  441m 49s (- 2302m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.2731  loss_TTT: 0.0332  acc: 0.6239  lr: 0.0000 
ep/it:241- 246 niter: 92550  442m 3s (- 2301m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0354  acc: 0.6257  lr: 0.0000 
ep/it:241- 296 niter: 92600  442m 16s (- 2301m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0342  acc: 0.6245  lr: 0.0000 
ep/it:241- 346 niter: 92650  442m 30s (- 2301m 24s) completed: 16%) loss_emb: 0.0000  loss: 1.2775  loss_TTT: 0.0350  acc: 0.6227  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.598
ep/it:242-  13 niter: 92700  442m 46s (- 2301m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0323  acc: 0.6265  lr: 0.0000 
ep/it:242-  63 niter: 92750  443m 0s (- 2301m 0s) completed: 16%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0345  acc: 0.6262  lr: 0.0000 
ep/it:242- 113 niter: 92800  443m 14s (- 2300m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0334  acc: 0.6267  lr: 0.0000 
ep/it:242- 163 niter: 92850  443m 28s (- 2300m 27s) completed: 16%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0339  acc: 0.6254  lr: 0.0000 
ep/it:242- 213 niter: 92900  443m 42s (- 2300m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0348  acc: 0.6240  lr: 0.0000 
ep/it:242- 263 niter: 92950  443m 55s (- 2299m 53s) completed: 16%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0330  acc: 0.6273  lr: 0.0000 
ep/it:242- 313 niter: 93000  444m 9s (- 2299m 33s) completed: 16%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0352  acc: 0.6242  lr: 0.0000 
ep/it:242- 363 niter: 93050  444m 23s (- 2299m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.2885  loss_TTT: 0.0340  acc: 0.6197  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.594
ep/it:243-  30 niter: 93100  444m 39s (- 2299m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.2442  loss_TTT: 0.0324  acc: 0.6317  lr: 0.0000 
ep/it:243-  80 niter: 93150  444m 52s (- 2298m 53s) completed: 16%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0355  acc: 0.6251  lr: 0.0000 
ep/it:243- 130 niter: 93200  445m 6s (- 2298m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.2735  loss_TTT: 0.0350  acc: 0.6230  lr: 0.0000 
ep/it:243- 180 niter: 93250  445m 19s (- 2298m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.2811  loss_TTT: 0.0340  acc: 0.6203  lr: 0.0000 
ep/it:243- 230 niter: 93300  445m 33s (- 2298m 0s) completed: 16%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0338  acc: 0.6237  lr: 0.0000 
ep/it:243- 280 niter: 93350  445m 47s (- 2297m 41s) completed: 16%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0344  acc: 0.6327  lr: 0.0000 
ep/it:243- 330 niter: 93400  446m 0s (- 2297m 24s) completed: 16%) loss_emb: 0.0000  loss: 1.2738  loss_TTT: 0.0331  acc: 0.6237  lr: 0.0000 
ep/it:243- 380 niter: 93450  446m 14s (- 2297m 6s) completed: 16%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0342  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.471, accuracy:0.585
ep/it:244-  47 niter: 93500  446m 30s (- 2297m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.2706  loss_TTT: 0.0342  acc: 0.6248  lr: 0.0000 
ep/it:244-  97 niter: 93550  446m 44s (- 2296m 46s) completed: 16%) loss_emb: 0.0000  loss: 1.2851  loss_TTT: 0.0345  acc: 0.6193  lr: 0.0000 
ep/it:244- 147 niter: 93600  446m 58s (- 2296m 29s) completed: 16%) loss_emb: 0.0000  loss: 1.2454  loss_TTT: 0.0324  acc: 0.6298  lr: 0.0000 
ep/it:244- 197 niter: 93650  447m 12s (- 2296m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.2857  loss_TTT: 0.0329  acc: 0.6200  lr: 0.0000 
ep/it:244- 247 niter: 93700  447m 26s (- 2295m 54s) completed: 16%) loss_emb: 0.0000  loss: 1.2890  loss_TTT: 0.0330  acc: 0.6185  lr: 0.0000 
ep/it:244- 297 niter: 93750  447m 40s (- 2295m 38s) completed: 16%) loss_emb: 0.0000  loss: 1.2499  loss_TTT: 0.0351  acc: 0.6290  lr: 0.0000 
ep/it:244- 347 niter: 93800  447m 53s (- 2295m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0333  acc: 0.6300  lr: 0.0000 
Validation time:
Validation loss:1.459, accuracy:0.588
ep/it:245-  14 niter: 93850  448m 9s (- 2295m 15s) completed: 16%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0327  acc: 0.6323  lr: 0.0000 
ep/it:245-  64 niter: 93900  448m 23s (- 2294m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0338  acc: 0.6238  lr: 0.0000 
ep/it:245- 114 niter: 93950  448m 37s (- 2294m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0331  acc: 0.6329  lr: 0.0000 
ep/it:245- 164 niter: 94000  448m 50s (- 2294m 21s) completed: 16%) loss_emb: 0.0000  loss: 1.2778  loss_TTT: 0.0329  acc: 0.6225  lr: 0.0000 
ep/it:245- 214 niter: 94050  449m 4s (- 2294m 6s) completed: 16%) loss_emb: 0.0000  loss: 1.2632  loss_TTT: 0.0350  acc: 0.6260  lr: 0.0000 
ep/it:245- 264 niter: 94100  449m 18s (- 2293m 48s) completed: 16%) loss_emb: 0.0000  loss: 1.2445  loss_TTT: 0.0342  acc: 0.6311  lr: 0.0000 
ep/it:245- 314 niter: 94150  449m 32s (- 2293m 32s) completed: 16%) loss_emb: 0.0000  loss: 1.2721  loss_TTT: 0.0325  acc: 0.6236  lr: 0.0000 
ep/it:245- 364 niter: 94200  449m 46s (- 2293m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.2630  loss_TTT: 0.0331  acc: 0.6276  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.599
ep/it:246-  31 niter: 94250  450m 2s (- 2293m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.2743  loss_TTT: 0.0329  acc: 0.6229  lr: 0.0000 
ep/it:246-  81 niter: 94300  450m 16s (- 2292m 55s) completed: 16%) loss_emb: 0.0000  loss: 1.2616  loss_TTT: 0.0322  acc: 0.6266  lr: 0.0000 
ep/it:246- 131 niter: 94350  450m 30s (- 2292m 38s) completed: 16%) loss_emb: 0.0000  loss: 1.2680  loss_TTT: 0.0339  acc: 0.6248  lr: 0.0000 
ep/it:246- 181 niter: 94400  450m 43s (- 2292m 20s) completed: 16%) loss_emb: 0.0000  loss: 1.2783  loss_TTT: 0.0334  acc: 0.6229  lr: 0.0000 
ep/it:246- 231 niter: 94450  450m 57s (- 2292m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.2960  loss_TTT: 0.0345  acc: 0.6161  lr: 0.0000 
ep/it:246- 281 niter: 94500  451m 11s (- 2291m 46s) completed: 16%) loss_emb: 0.0000  loss: 1.2848  loss_TTT: 0.0333  acc: 0.6190  lr: 0.0000 
ep/it:246- 331 niter: 94550  451m 26s (- 2291m 33s) completed: 16%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0332  acc: 0.6284  lr: 0.0000 
ep/it:246- 381 niter: 94600  451m 39s (- 2291m 13s) completed: 16%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0334  acc: 0.6275  lr: 0.0000 
Validation time:
Validation loss:1.425, accuracy:0.599
ep/it:247-  48 niter: 94650  451m 55s (- 2291m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.2631  loss_TTT: 0.0328  acc: 0.6257  lr: 0.0000 
ep/it:247-  98 niter: 94700  452m 9s (- 2290m 53s) completed: 16%) loss_emb: 0.0000  loss: 1.2907  loss_TTT: 0.0354  acc: 0.6183  lr: 0.0000 
ep/it:247- 148 niter: 94750  452m 23s (- 2290m 35s) completed: 16%) loss_emb: 0.0000  loss: 1.2594  loss_TTT: 0.0332  acc: 0.6275  lr: 0.0000 
ep/it:247- 198 niter: 94800  452m 37s (- 2290m 18s) completed: 16%) loss_emb: 0.0000  loss: 1.2465  loss_TTT: 0.0324  acc: 0.6302  lr: 0.0000 
ep/it:247- 248 niter: 94850  452m 51s (- 2290m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0342  acc: 0.6241  lr: 0.0000 
ep/it:247- 298 niter: 94900  453m 4s (- 2289m 44s) completed: 16%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0321  acc: 0.6230  lr: 0.0000 
ep/it:247- 348 niter: 94950  453m 18s (- 2289m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.2862  loss_TTT: 0.0340  acc: 0.6196  lr: 0.0000 
Validation time:
Validation loss:1.420, accuracy:0.600
ep/it:248-  15 niter: 95000  453m 34s (- 2289m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.2799  loss_TTT: 0.0340  acc: 0.6216  lr: 0.0000 
ep/it:248-  65 niter: 95050  453m 48s (- 2289m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.2436  loss_TTT: 0.0330  acc: 0.6318  lr: 0.0000 
ep/it:248- 115 niter: 95100  454m 2s (- 2288m 49s) completed: 16%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0314  acc: 0.6270  lr: 0.0000 
ep/it:248- 165 niter: 95150  454m 16s (- 2288m 32s) completed: 16%) loss_emb: 0.0000  loss: 1.2845  loss_TTT: 0.0329  acc: 0.6202  lr: 0.0000 
ep/it:248- 215 niter: 95200  454m 29s (- 2288m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0335  acc: 0.6213  lr: 0.0000 
ep/it:248- 265 niter: 95250  454m 43s (- 2287m 56s) completed: 16%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0343  acc: 0.6284  lr: 0.0000 
ep/it:248- 315 niter: 95300  454m 57s (- 2287m 39s) completed: 16%) loss_emb: 0.0000  loss: 1.2849  loss_TTT: 0.0343  acc: 0.6207  lr: 0.0000 
ep/it:248- 365 niter: 95350  455m 10s (- 2287m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.2726  loss_TTT: 0.0340  acc: 0.6246  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.603
ep/it:249-  32 niter: 95400  455m 27s (- 2287m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0352  acc: 0.6268  lr: 0.0000 
ep/it:249-  82 niter: 95450  455m 41s (- 2287m 3s) completed: 16%) loss_emb: 0.0000  loss: 1.2913  loss_TTT: 0.0334  acc: 0.6183  lr: 0.0000 
ep/it:249- 132 niter: 95500  455m 55s (- 2286m 46s) completed: 16%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0338  acc: 0.6302  lr: 0.0000 
ep/it:249- 182 niter: 95550  456m 9s (- 2286m 30s) completed: 16%) loss_emb: 0.0000  loss: 1.2585  loss_TTT: 0.0331  acc: 0.6275  lr: 0.0000 
ep/it:249- 232 niter: 95600  456m 23s (- 2286m 13s) completed: 16%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0346  acc: 0.6193  lr: 0.0000 
ep/it:249- 282 niter: 95650  456m 37s (- 2285m 57s) completed: 16%) loss_emb: 0.0000  loss: 1.2568  loss_TTT: 0.0341  acc: 0.6277  lr: 0.0000 
ep/it:249- 332 niter: 95700  456m 50s (- 2285m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.2569  loss_TTT: 0.0342  acc: 0.6272  lr: 0.0000 
ep/it:249- 382 niter: 95750  457m 4s (- 2285m 22s) completed: 16%) loss_emb: 0.0000  loss: 1.2583  loss_TTT: 0.0348  acc: 0.6277  lr: 0.0000 
Validation time:
Validation loss:1.451, accuracy:0.592

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.13it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.39it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.73it/s]
100%|██████████| 47/47 [00:05<00:00,  8.10it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.450838916003704 avg: 2.450838916003704
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.449884739238769 avg: 2.4503618276212364
--> 	 Eva. Repeat 22 :, FID. 0.1089, Diversity Real. 9.8188, Diversity. 10.0272, R_precision_real. [0.50585938 0.68847656 0.79492188], R_precision. [0.51855469 0.70117188 0.79980469], matching_score_real. 2.9055, matching_score_pred. 2.9608, skate_ratio. 0.0454, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5068 (traj_fail_50cm (Traj err)): 0.3037 (kps_fail_20cm): 0.3585 (kps_fail_50cm (Loc. err)): 0.1986 (kps_mean_err(m) (Avg. err)): 0.3512 
ep/it:250-  49 niter: 95800  457m 27s (- 2285m 51s) completed: 16%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0342  acc: 0.6257  lr: 0.0000 
ep/it:250-  99 niter: 95850  457m 40s (- 2285m 32s) completed: 16%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0343  acc: 0.6260  lr: 0.0000 
ep/it:250- 149 niter: 95900  457m 54s (- 2285m 16s) completed: 16%) loss_emb: 0.0000  loss: 1.2949  loss_TTT: 0.0349  acc: 0.6175  lr: 0.0000 
ep/it:250- 199 niter: 95950  458m 8s (- 2285m 1s) completed: 16%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0334  acc: 0.6260  lr: 0.0000 
ep/it:250- 249 niter: 96000  458m 22s (- 2284m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.2844  loss_TTT: 0.0333  acc: 0.6198  lr: 0.0000 
ep/it:250- 299 niter: 96050  458m 36s (- 2284m 28s) completed: 16%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0324  acc: 0.6289  lr: 0.0000 
ep/it:250- 349 niter: 96100  458m 50s (- 2284m 11s) completed: 16%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0361  acc: 0.6281  lr: 0.0000 
Validation time:
Validation loss:1.386, accuracy:0.611
Improved accuracy from 0.61 to 0.6106371542681819!!!
ep/it:251-  16 niter: 96150  459m 7s (- 2284m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0317  acc: 0.6242  lr: 0.0000 
ep/it:251-  66 niter: 96200  459m 21s (- 2283m 52s) completed: 16%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0345  acc: 0.6220  lr: 0.0000 
ep/it:251- 116 niter: 96250  459m 35s (- 2283m 36s) completed: 16%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0330  acc: 0.6316  lr: 0.0000 
ep/it:251- 166 niter: 96300  459m 48s (- 2283m 19s) completed: 16%) loss_emb: 0.0000  loss: 1.2866  loss_TTT: 0.0351  acc: 0.6191  lr: 0.0000 
ep/it:251- 216 niter: 96350  460m 2s (- 2283m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.2605  loss_TTT: 0.0329  acc: 0.6274  lr: 0.0000 
ep/it:251- 266 niter: 96400  460m 16s (- 2282m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.2828  loss_TTT: 0.0336  acc: 0.6206  lr: 0.0000 
ep/it:251- 316 niter: 96450  460m 30s (- 2282m 27s) completed: 16%) loss_emb: 0.0000  loss: 1.2320  loss_TTT: 0.0338  acc: 0.6346  lr: 0.0000 
ep/it:251- 366 niter: 96500  460m 43s (- 2282m 10s) completed: 16%) loss_emb: 0.0000  loss: 1.2472  loss_TTT: 0.0330  acc: 0.6306  lr: 0.0000 
Validation time:
Validation loss:1.474, accuracy:0.587
ep/it:252-  33 niter: 96550  461m 0s (- 2282m 7s) completed: 16%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0337  acc: 0.6250  lr: 0.0000 
ep/it:252-  83 niter: 96600  461m 14s (- 2281m 51s) completed: 16%) loss_emb: 0.0000  loss: 1.2770  loss_TTT: 0.0333  acc: 0.6223  lr: 0.0000 
ep/it:252- 133 niter: 96650  461m 28s (- 2281m 34s) completed: 16%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0336  acc: 0.6264  lr: 0.0000 
ep/it:252- 183 niter: 96700  461m 42s (- 2281m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0335  acc: 0.6254  lr: 0.0000 
ep/it:252- 233 niter: 96750  461m 55s (- 2280m 59s) completed: 16%) loss_emb: 0.0000  loss: 1.2487  loss_TTT: 0.0343  acc: 0.6300  lr: 0.0000 
ep/it:252- 283 niter: 96800  462m 9s (- 2280m 42s) completed: 16%) loss_emb: 0.0000  loss: 1.2682  loss_TTT: 0.0335  acc: 0.6243  lr: 0.0000 
ep/it:252- 333 niter: 96850  462m 23s (- 2280m 25s) completed: 16%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0338  acc: 0.6258  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.600
ep/it:253-   0 niter: 96900  462m 39s (- 2280m 19s) completed: 16%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0341  acc: 0.6277  lr: 0.0000 
ep/it:253-  50 niter: 96950  462m 53s (- 2280m 2s) completed: 16%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0328  acc: 0.6238  lr: 0.0000 
ep/it:253- 100 niter: 97000  463m 6s (- 2279m 45s) completed: 16%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0329  acc: 0.6260  lr: 0.0000 
ep/it:253- 150 niter: 97050  463m 21s (- 2279m 30s) completed: 16%) loss_emb: 0.0000  loss: 1.2702  loss_TTT: 0.0335  acc: 0.6242  lr: 0.0000 
ep/it:253- 200 niter: 97100  463m 34s (- 2279m 12s) completed: 16%) loss_emb: 0.0000  loss: 1.2700  loss_TTT: 0.0339  acc: 0.6227  lr: 0.0000 
ep/it:253- 250 niter: 97150  463m 48s (- 2278m 54s) completed: 16%) loss_emb: 0.0000  loss: 1.2989  loss_TTT: 0.0334  acc: 0.6169  lr: 0.0000 
ep/it:253- 300 niter: 97200  464m 1s (- 2278m 37s) completed: 16%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0351  acc: 0.6243  lr: 0.0000 
ep/it:253- 350 niter: 97250  464m 15s (- 2278m 19s) completed: 16%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0332  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.604
ep/it:254-  17 niter: 97300  464m 31s (- 2278m 14s) completed: 16%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0322  acc: 0.6275  lr: 0.0000 
ep/it:254-  67 niter: 97350  464m 45s (- 2277m 58s) completed: 16%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0325  acc: 0.6267  lr: 0.0000 
ep/it:254- 117 niter: 97400  464m 59s (- 2277m 40s) completed: 16%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0335  acc: 0.6274  lr: 0.0000 
ep/it:254- 167 niter: 97450  465m 13s (- 2277m 23s) completed: 16%) loss_emb: 0.0000  loss: 1.2962  loss_TTT: 0.0333  acc: 0.6183  lr: 0.0000 
ep/it:254- 217 niter: 97500  465m 27s (- 2277m 8s) completed: 16%) loss_emb: 0.0000  loss: 1.2646  loss_TTT: 0.0335  acc: 0.6265  lr: 0.0000 
ep/it:254- 267 niter: 97550  465m 41s (- 2276m 51s) completed: 16%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0319  acc: 0.6292  lr: 0.0000 
ep/it:254- 317 niter: 97600  465m 54s (- 2276m 34s) completed: 16%) loss_emb: 0.0000  loss: 1.2382  loss_TTT: 0.0336  acc: 0.6323  lr: 0.0000 
ep/it:254- 367 niter: 97650  466m 8s (- 2276m 17s) completed: 16%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0343  acc: 0.6337  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.597
ep/it:255-  34 niter: 97700  466m 25s (- 2276m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0325  acc: 0.6265  lr: 0.0000 
ep/it:255-  84 niter: 97750  466m 38s (- 2275m 57s) completed: 17%) loss_emb: 0.0000  loss: 1.2834  loss_TTT: 0.0331  acc: 0.6192  lr: 0.0000 
ep/it:255- 134 niter: 97800  466m 52s (- 2275m 41s) completed: 17%) loss_emb: 0.0000  loss: 1.2734  loss_TTT: 0.0323  acc: 0.6226  lr: 0.0000 
ep/it:255- 184 niter: 97850  467m 7s (- 2275m 26s) completed: 17%) loss_emb: 0.0000  loss: 1.2825  loss_TTT: 0.0337  acc: 0.6218  lr: 0.0000 
ep/it:255- 234 niter: 97900  467m 21s (- 2275m 11s) completed: 17%) loss_emb: 0.0000  loss: 1.2687  loss_TTT: 0.0352  acc: 0.6240  lr: 0.0000 
ep/it:255- 284 niter: 97950  467m 35s (- 2274m 55s) completed: 17%) loss_emb: 0.0000  loss: 1.2591  loss_TTT: 0.0323  acc: 0.6276  lr: 0.0000 
ep/it:255- 334 niter: 98000  467m 49s (- 2274m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.2770  loss_TTT: 0.0327  acc: 0.6228  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.597
ep/it:256-   1 niter: 98050  468m 5s (- 2274m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.2613  loss_TTT: 0.0338  acc: 0.6253  lr: 0.0000 
ep/it:256-  51 niter: 98100  468m 19s (- 2274m 20s) completed: 17%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0330  acc: 0.6282  lr: 0.0000 
ep/it:256- 101 niter: 98150  468m 33s (- 2274m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.2367  loss_TTT: 0.0332  acc: 0.6330  lr: 0.0000 
ep/it:256- 151 niter: 98200  468m 47s (- 2273m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0335  acc: 0.6271  lr: 0.0000 
ep/it:256- 201 niter: 98250  469m 1s (- 2273m 30s) completed: 17%) loss_emb: 0.0000  loss: 1.2837  loss_TTT: 0.0331  acc: 0.6203  lr: 0.0000 
ep/it:256- 251 niter: 98300  469m 15s (- 2273m 13s) completed: 17%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0338  acc: 0.6277  lr: 0.0000 
ep/it:256- 301 niter: 98350  469m 28s (- 2272m 54s) completed: 17%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0328  acc: 0.6259  lr: 0.0000 
ep/it:256- 351 niter: 98400  469m 42s (- 2272m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0324  acc: 0.6311  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.594
ep/it:257-  18 niter: 98450  469m 58s (- 2272m 30s) completed: 17%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0330  acc: 0.6226  lr: 0.0000 
ep/it:257-  68 niter: 98500  470m 11s (- 2272m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.2761  loss_TTT: 0.0317  acc: 0.6223  lr: 0.0000 
ep/it:257- 118 niter: 98550  470m 25s (- 2271m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0330  acc: 0.6303  lr: 0.0000 
ep/it:257- 168 niter: 98600  470m 39s (- 2271m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0349  acc: 0.6237  lr: 0.0000 
ep/it:257- 218 niter: 98650  470m 52s (- 2271m 20s) completed: 17%) loss_emb: 0.0000  loss: 1.2711  loss_TTT: 0.0334  acc: 0.6235  lr: 0.0000 
ep/it:257- 268 niter: 98700  471m 6s (- 2271m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.2533  loss_TTT: 0.0341  acc: 0.6272  lr: 0.0000 
ep/it:257- 318 niter: 98750  471m 20s (- 2270m 46s) completed: 17%) loss_emb: 0.0000  loss: 1.2622  loss_TTT: 0.0342  acc: 0.6269  lr: 0.0000 
ep/it:257- 368 niter: 98800  471m 33s (- 2270m 27s) completed: 17%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0317  acc: 0.6263  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.597
ep/it:258-  35 niter: 98850  471m 49s (- 2270m 21s) completed: 17%) loss_emb: 0.0000  loss: 1.2787  loss_TTT: 0.0328  acc: 0.6213  lr: 0.0000 
ep/it:258-  85 niter: 98900  472m 3s (- 2270m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.2443  loss_TTT: 0.0350  acc: 0.6316  lr: 0.0000 
ep/it:258- 135 niter: 98950  472m 16s (- 2269m 45s) completed: 17%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0338  acc: 0.6226  lr: 0.0000 
ep/it:258- 185 niter: 99000  472m 31s (- 2269m 31s) completed: 17%) loss_emb: 0.0000  loss: 1.2823  loss_TTT: 0.0344  acc: 0.6209  lr: 0.0000 
ep/it:258- 235 niter: 99050  472m 45s (- 2269m 16s) completed: 17%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0342  acc: 0.6278  lr: 0.0000 
ep/it:258- 285 niter: 99100  472m 58s (- 2268m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0351  acc: 0.6223  lr: 0.0000 
ep/it:258- 335 niter: 99150  473m 12s (- 2268m 42s) completed: 17%) loss_emb: 0.0000  loss: 1.2421  loss_TTT: 0.0347  acc: 0.6313  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.592
ep/it:259-   2 niter: 99200  473m 29s (- 2268m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0319  acc: 0.6242  lr: 0.0000 
ep/it:259-  52 niter: 99250  473m 42s (- 2268m 18s) completed: 17%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0317  acc: 0.6209  lr: 0.0000 
ep/it:259- 102 niter: 99300  473m 56s (- 2268m 1s) completed: 17%) loss_emb: 0.0000  loss: 1.2723  loss_TTT: 0.0348  acc: 0.6249  lr: 0.0000 
ep/it:259- 152 niter: 99350  474m 9s (- 2267m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.2537  loss_TTT: 0.0347  acc: 0.6294  lr: 0.0000 
ep/it:259- 202 niter: 99400  474m 23s (- 2267m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0344  acc: 0.6235  lr: 0.0000 
ep/it:259- 252 niter: 99450  474m 37s (- 2267m 8s) completed: 17%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0324  acc: 0.6285  lr: 0.0000 
ep/it:259- 302 niter: 99500  474m 50s (- 2266m 51s) completed: 17%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0342  acc: 0.6321  lr: 0.0000 
ep/it:259- 352 niter: 99550  475m 4s (- 2266m 35s) completed: 17%) loss_emb: 0.0000  loss: 1.2695  loss_TTT: 0.0334  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.405, accuracy:0.604

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.26it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.43it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.70it/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:  2.456971999257803 avg: 2.456971999257803
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.449781130068004 avg: 2.4533765646629035
--> 	 Eva. Repeat 22 :, FID. 0.1069, Diversity Real. 9.3143, Diversity. 9.6988, R_precision_real. [0.51660156 0.7109375  0.80371094], R_precision. [0.52441406 0.70898438 0.80371094], matching_score_real. 2.8535, matching_score_pred. 2.9657, skate_ratio. 0.0453, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5020 (traj_fail_50cm (Traj err)): 0.2832 (kps_fail_20cm): 0.3532 (kps_fail_50cm (Loc. err)): 0.1876 (kps_mean_err(m) (Avg. err)): 0.3604 
ep/it:260-  19 niter: 99600  475m 28s (- 2267m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.2674  loss_TTT: 0.0337  acc: 0.6242  lr: 0.0000 
ep/it:260-  69 niter: 99650  475m 42s (- 2266m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.2748  loss_TTT: 0.0332  acc: 0.6239  lr: 0.0000 
ep/it:260- 119 niter: 99700  475m 56s (- 2266m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0334  acc: 0.6260  lr: 0.0000 
ep/it:260- 169 niter: 99750  476m 9s (- 2266m 15s) completed: 17%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0336  acc: 0.6258  lr: 0.0000 
ep/it:260- 219 niter: 99800  476m 23s (- 2265m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0341  acc: 0.6272  lr: 0.0000 
ep/it:260- 269 niter: 99850  476m 37s (- 2265m 42s) completed: 17%) loss_emb: 0.0000  loss: 1.2624  loss_TTT: 0.0339  acc: 0.6258  lr: 0.0000 
ep/it:260- 319 niter: 99900  476m 51s (- 2265m 24s) completed: 17%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0347  acc: 0.6277  lr: 0.0000 
ep/it:260- 369 niter: 99950  477m 4s (- 2265m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0328  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.594
ep/it:261-  36 niter:100000  477m 21s (- 2265m 5s) completed: 17%) loss_emb: 0.0000  loss: 1.2514  loss_TTT: 0.0335  acc: 0.6286  lr: 0.0000 
ep/it:261-  86 niter:100050  477m 35s (- 2264m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.2371  loss_TTT: 0.0346  acc: 0.6333  lr: 0.0000 
ep/it:261- 136 niter:100100  477m 49s (- 2264m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0331  acc: 0.6273  lr: 0.0000 
ep/it:261- 186 niter:100150  478m 3s (- 2264m 16s) completed: 17%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0335  acc: 0.6233  lr: 0.0000 
ep/it:261- 236 niter:100200  478m 17s (- 2263m 59s) completed: 17%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0352  acc: 0.6237  lr: 0.0000 
ep/it:261- 286 niter:100250  478m 31s (- 2263m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.2678  loss_TTT: 0.0319  acc: 0.6234  lr: 0.0000 
ep/it:261- 336 niter:100300  478m 44s (- 2263m 25s) completed: 17%) loss_emb: 0.0000  loss: 1.2666  loss_TTT: 0.0339  acc: 0.6252  lr: 0.0000 
Validation time:
Validation loss:1.399, accuracy:0.605
ep/it:262-   3 niter:100350  479m 0s (- 2263m 19s) completed: 17%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0335  acc: 0.6250  lr: 0.0000 
ep/it:262-  53 niter:100400  479m 14s (- 2263m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.2829  loss_TTT: 0.0345  acc: 0.6204  lr: 0.0000 
ep/it:262- 103 niter:100450  479m 28s (- 2262m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0343  acc: 0.6278  lr: 0.0000 
ep/it:262- 153 niter:100500  479m 42s (- 2262m 30s) completed: 17%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0336  acc: 0.6299  lr: 0.0000 
ep/it:262- 203 niter:100550  479m 56s (- 2262m 16s) completed: 17%) loss_emb: 0.0000  loss: 1.2805  loss_TTT: 0.0320  acc: 0.6205  lr: 0.0000 
ep/it:262- 253 niter:100600  480m 10s (- 2261m 59s) completed: 17%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0317  acc: 0.6261  lr: 0.0000 
ep/it:262- 303 niter:100650  480m 24s (- 2261m 41s) completed: 17%) loss_emb: 0.0000  loss: 1.2641  loss_TTT: 0.0333  acc: 0.6258  lr: 0.0000 
ep/it:262- 353 niter:100700  480m 38s (- 2261m 26s) completed: 17%) loss_emb: 0.0000  loss: 1.2853  loss_TTT: 0.0328  acc: 0.6203  lr: 0.0000 
Validation time:
Validation loss:1.431, accuracy:0.597
ep/it:263-  20 niter:100750  480m 54s (- 2261m 20s) completed: 17%) loss_emb: 0.0000  loss: 1.2608  loss_TTT: 0.0334  acc: 0.6276  lr: 0.0000 
ep/it:263-  70 niter:100800  481m 8s (- 2261m 3s) completed: 17%) loss_emb: 0.0000  loss: 1.2399  loss_TTT: 0.0350  acc: 0.6327  lr: 0.0000 
ep/it:263- 120 niter:100850  481m 21s (- 2260m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.2766  loss_TTT: 0.0335  acc: 0.6227  lr: 0.0000 
ep/it:263- 170 niter:100900  481m 35s (- 2260m 27s) completed: 17%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0350  acc: 0.6283  lr: 0.0000 
ep/it:263- 220 niter:100950  481m 49s (- 2260m 12s) completed: 17%) loss_emb: 0.0000  loss: 1.2696  loss_TTT: 0.0315  acc: 0.6241  lr: 0.0000 
ep/it:263- 270 niter:101000  482m 3s (- 2259m 54s) completed: 17%) loss_emb: 0.0000  loss: 1.2879  loss_TTT: 0.0323  acc: 0.6190  lr: 0.0000 
ep/it:263- 320 niter:101050  482m 17s (- 2259m 39s) completed: 17%) loss_emb: 0.0000  loss: 1.2523  loss_TTT: 0.0329  acc: 0.6280  lr: 0.0000 
ep/it:263- 370 niter:101100  482m 30s (- 2259m 22s) completed: 17%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0333  acc: 0.6253  lr: 0.0000 
Validation time:
Validation loss:1.461, accuracy:0.587
ep/it:264-  37 niter:101150  482m 47s (- 2259m 17s) completed: 17%) loss_emb: 0.0000  loss: 1.2974  loss_TTT: 0.0327  acc: 0.6179  lr: 0.0000 
ep/it:264-  87 niter:101200  483m 1s (- 2259m 1s) completed: 17%) loss_emb: 0.0000  loss: 1.2274  loss_TTT: 0.0338  acc: 0.6353  lr: 0.0000 
ep/it:264- 137 niter:101250  483m 14s (- 2258m 44s) completed: 17%) loss_emb: 0.0000  loss: 1.2336  loss_TTT: 0.0334  acc: 0.6341  lr: 0.0000 
ep/it:264- 187 niter:101300  483m 28s (- 2258m 26s) completed: 17%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0327  acc: 0.6298  lr: 0.0000 
ep/it:264- 237 niter:101350  483m 42s (- 2258m 9s) completed: 17%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0339  acc: 0.6226  lr: 0.0000 
ep/it:264- 287 niter:101400  483m 55s (- 2257m 51s) completed: 17%) loss_emb: 0.0000  loss: 1.2296  loss_TTT: 0.0338  acc: 0.6355  lr: 0.0000 
ep/it:264- 337 niter:101450  484m 9s (- 2257m 34s) completed: 17%) loss_emb: 0.0000  loss: 1.2421  loss_TTT: 0.0332  acc: 0.6303  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.601
ep/it:265-   4 niter:101500  484m 25s (- 2257m 28s) completed: 17%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0342  acc: 0.6235  lr: 0.0000 
ep/it:265-  54 niter:101550  484m 39s (- 2257m 14s) completed: 17%) loss_emb: 0.0000  loss: 1.2770  loss_TTT: 0.0336  acc: 0.6211  lr: 0.0000 
ep/it:265- 104 niter:101600  484m 53s (- 2256m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0328  acc: 0.6251  lr: 0.0000 
ep/it:265- 154 niter:101650  485m 7s (- 2256m 40s) completed: 17%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0346  acc: 0.6293  lr: 0.0000 
ep/it:265- 204 niter:101700  485m 21s (- 2256m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0326  acc: 0.6292  lr: 0.0000 
ep/it:265- 254 niter:101750  485m 34s (- 2256m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.2623  loss_TTT: 0.0325  acc: 0.6261  lr: 0.0000 
ep/it:265- 304 niter:101800  485m 48s (- 2255m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.2760  loss_TTT: 0.0318  acc: 0.6217  lr: 0.0000 
ep/it:265- 354 niter:101850  486m 2s (- 2255m 34s) completed: 17%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0328  acc: 0.6309  lr: 0.0000 
Validation time:
Validation loss:1.443, accuracy:0.593
ep/it:266-  21 niter:101900  486m 19s (- 2255m 29s) completed: 17%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0344  acc: 0.6279  lr: 0.0000 
ep/it:266-  71 niter:101950  486m 33s (- 2255m 14s) completed: 17%) loss_emb: 0.0000  loss: 1.2661  loss_TTT: 0.0316  acc: 0.6259  lr: 0.0000 
ep/it:266- 121 niter:102000  486m 47s (- 2254m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0342  acc: 0.6304  lr: 0.0000 
ep/it:266- 171 niter:102050  487m 1s (- 2254m 43s) completed: 17%) loss_emb: 0.0000  loss: 1.2416  loss_TTT: 0.0339  acc: 0.6317  lr: 0.0000 
ep/it:266- 221 niter:102100  487m 14s (- 2254m 24s) completed: 17%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0335  acc: 0.6278  lr: 0.0000 
ep/it:266- 271 niter:102150  487m 29s (- 2254m 10s) completed: 17%) loss_emb: 0.0000  loss: 1.2420  loss_TTT: 0.0316  acc: 0.6308  lr: 0.0000 
ep/it:266- 321 niter:102200  487m 43s (- 2253m 55s) completed: 17%) loss_emb: 0.0000  loss: 1.2735  loss_TTT: 0.0331  acc: 0.6230  lr: 0.0000 
ep/it:266- 371 niter:102250  487m 57s (- 2253m 38s) completed: 17%) loss_emb: 0.0000  loss: 1.2581  loss_TTT: 0.0325  acc: 0.6266  lr: 0.0000 
Validation time:
Validation loss:1.416, accuracy:0.599
ep/it:267-  38 niter:102300  488m 13s (- 2253m 36s) completed: 17%) loss_emb: 0.0000  loss: 1.2606  loss_TTT: 0.0339  acc: 0.6271  lr: 0.0000 
ep/it:267-  88 niter:102350  488m 27s (- 2253m 20s) completed: 17%) loss_emb: 0.0000  loss: 1.2707  loss_TTT: 0.0332  acc: 0.6239  lr: 0.0000 
ep/it:267- 138 niter:102400  488m 41s (- 2253m 4s) completed: 17%) loss_emb: 0.0000  loss: 1.2564  loss_TTT: 0.0321  acc: 0.6279  lr: 0.0000 
ep/it:267- 188 niter:102450  488m 55s (- 2252m 48s) completed: 17%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0331  acc: 0.6256  lr: 0.0000 
ep/it:267- 238 niter:102500  489m 9s (- 2252m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0340  acc: 0.6265  lr: 0.0000 
ep/it:267- 288 niter:102550  489m 24s (- 2252m 17s) completed: 17%) loss_emb: 0.0000  loss: 1.2897  loss_TTT: 0.0343  acc: 0.6203  lr: 0.0000 
ep/it:267- 338 niter:102600  489m 38s (- 2252m 2s) completed: 17%) loss_emb: 0.0000  loss: 1.2752  loss_TTT: 0.0334  acc: 0.6224  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.599
ep/it:268-   5 niter:102650  489m 54s (- 2251m 56s) completed: 17%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0331  acc: 0.6224  lr: 0.0000 
ep/it:268-  55 niter:102700  490m 8s (- 2251m 39s) completed: 17%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0347  acc: 0.6241  lr: 0.0000 
ep/it:268- 105 niter:102750  490m 22s (- 2251m 24s) completed: 17%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0339  acc: 0.6248  lr: 0.0000 
ep/it:268- 155 niter:102800  490m 35s (- 2251m 6s) completed: 17%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0324  acc: 0.6272  lr: 0.0000 
ep/it:268- 205 niter:102850  490m 49s (- 2250m 49s) completed: 17%) loss_emb: 0.0000  loss: 1.2638  loss_TTT: 0.0339  acc: 0.6250  lr: 0.0000 
ep/it:268- 255 niter:102900  491m 3s (- 2250m 32s) completed: 17%) loss_emb: 0.0000  loss: 1.2550  loss_TTT: 0.0355  acc: 0.6274  lr: 0.0000 
ep/it:268- 305 niter:102950  491m 17s (- 2250m 15s) completed: 17%) loss_emb: 0.0000  loss: 1.2656  loss_TTT: 0.0334  acc: 0.6246  lr: 0.0000 
ep/it:268- 355 niter:103000  491m 30s (- 2249m 58s) completed: 17%) loss_emb: 0.0000  loss: 1.2629  loss_TTT: 0.0330  acc: 0.6257  lr: 0.0000 
Validation time:
Validation loss:1.397, accuracy:0.606
ep/it:269-  22 niter:103050  491m 47s (- 2249m 55s) completed: 17%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0338  acc: 0.6258  lr: 0.0000 
ep/it:269-  72 niter:103100  492m 1s (- 2249m 40s) completed: 17%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0347  acc: 0.6287  lr: 0.0000 
ep/it:269- 122 niter:103150  492m 15s (- 2249m 23s) completed: 17%) loss_emb: 0.0000  loss: 1.2716  loss_TTT: 0.0333  acc: 0.6246  lr: 0.0000 
ep/it:269- 172 niter:103200  492m 29s (- 2249m 7s) completed: 17%) loss_emb: 0.0000  loss: 1.2549  loss_TTT: 0.0325  acc: 0.6277  lr: 0.0000 
ep/it:269- 222 niter:103250  492m 43s (- 2248m 50s) completed: 17%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0337  acc: 0.6289  lr: 0.0000 
ep/it:269- 272 niter:103300  492m 56s (- 2248m 33s) completed: 17%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0326  acc: 0.6275  lr: 0.0000 
ep/it:269- 322 niter:103350  493m 10s (- 2248m 17s) completed: 17%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0333  acc: 0.6289  lr: 0.0000 
ep/it:269- 372 niter:103400  493m 24s (- 2248m 1s) completed: 17%) loss_emb: 0.0000  loss: 1.2889  loss_TTT: 0.0324  acc: 0.6184  lr: 0.0000 
Validation time:
Validation loss:1.469, accuracy:0.587

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:12,  3.71it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.30it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.71it/s]
100%|██████████| 47/47 [00:05<00:00,  7.97it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.451417936012149 avg: 2.451417936012149
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4492008867673576 avg: 2.4503094113897532
--> 	 Eva. Repeat 22 :, FID. 0.1262, Diversity Real. 9.2533, Diversity. 9.8626, R_precision_real. [0.50585938 0.69628906 0.79589844], R_precision. [0.50195312 0.70898438 0.80078125], matching_score_real. 2.9620, matching_score_pred. 2.9775, skate_ratio. 0.0488, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5000 (traj_fail_50cm (Traj err)): 0.2900 (kps_fail_20cm): 0.3605 (kps_fail_50cm (Loc. err)): 0.2020 (kps_mean_err(m) (Avg. err)): 0.3722 
ep/it:270-  39 niter:103450  493m 47s (- 2248m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0336  acc: 0.6255  lr: 0.0000 
ep/it:270-  89 niter:103500  494m 1s (- 2248m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0326  acc: 0.6268  lr: 0.0000 
ep/it:270- 139 niter:103550  494m 15s (- 2247m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.2474  loss_TTT: 0.0325  acc: 0.6306  lr: 0.0000 
ep/it:270- 189 niter:103600  494m 30s (- 2247m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0324  acc: 0.6267  lr: 0.0000 
ep/it:270- 239 niter:103650  494m 43s (- 2247m 24s) completed: 18%) loss_emb: 0.0000  loss: 1.2609  loss_TTT: 0.0337  acc: 0.6270  lr: 0.0000 
ep/it:270- 289 niter:103700  494m 57s (- 2247m 7s) completed: 18%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0334  acc: 0.6241  lr: 0.0000 
ep/it:270- 339 niter:103750  495m 11s (- 2246m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.2714  loss_TTT: 0.0328  acc: 0.6226  lr: 0.0000 
Validation time:
Validation loss:1.423, accuracy:0.599
ep/it:271-   6 niter:103800  495m 27s (- 2246m 46s) completed: 18%) loss_emb: 0.0000  loss: 1.2788  loss_TTT: 0.0338  acc: 0.6210  lr: 0.0000 
ep/it:271-  56 niter:103850  495m 41s (- 2246m 30s) completed: 18%) loss_emb: 0.0000  loss: 1.2444  loss_TTT: 0.0321  acc: 0.6294  lr: 0.0000 
ep/it:271- 106 niter:103900  495m 55s (- 2246m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.2596  loss_TTT: 0.0333  acc: 0.6258  lr: 0.0000 
ep/it:271- 156 niter:103950  496m 9s (- 2245m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0338  acc: 0.6248  lr: 0.0000 
ep/it:271- 206 niter:104000  496m 23s (- 2245m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.2685  loss_TTT: 0.0335  acc: 0.6244  lr: 0.0000 
ep/it:271- 256 niter:104050  496m 37s (- 2245m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0349  acc: 0.6283  lr: 0.0000 
ep/it:271- 306 niter:104100  496m 51s (- 2245m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.2503  loss_TTT: 0.0341  acc: 0.6287  lr: 0.0000 
ep/it:271- 356 niter:104150  497m 5s (- 2244m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0319  acc: 0.6292  lr: 0.0000 
Validation time:
Validation loss:1.419, accuracy:0.599
ep/it:272-  23 niter:104200  497m 21s (- 2244m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.2575  loss_TTT: 0.0352  acc: 0.6274  lr: 0.0000 
ep/it:272-  73 niter:104250  497m 35s (- 2244m 33s) completed: 18%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0324  acc: 0.6278  lr: 0.0000 
ep/it:272- 123 niter:104300  497m 49s (- 2244m 17s) completed: 18%) loss_emb: 0.0000  loss: 1.2869  loss_TTT: 0.0312  acc: 0.6184  lr: 0.0000 
ep/it:272- 173 niter:104350  498m 3s (- 2244m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.2820  loss_TTT: 0.0325  acc: 0.6199  lr: 0.0000 
ep/it:272- 223 niter:104400  498m 17s (- 2243m 45s) completed: 18%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0341  acc: 0.6261  lr: 0.0000 
ep/it:272- 273 niter:104450  498m 31s (- 2243m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0335  acc: 0.6253  lr: 0.0000 
ep/it:272- 323 niter:104500  498m 45s (- 2243m 14s) completed: 18%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0349  acc: 0.6309  lr: 0.0000 
ep/it:272- 373 niter:104550  499m 0s (- 2242m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0328  acc: 0.6245  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.599
ep/it:273-  40 niter:104600  499m 16s (- 2242m 54s) completed: 18%) loss_emb: 0.0000  loss: 1.2933  loss_TTT: 0.0348  acc: 0.6175  lr: 0.0000 
ep/it:273-  90 niter:104650  499m 30s (- 2242m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0322  acc: 0.6295  lr: 0.0000 
ep/it:273- 140 niter:104700  499m 43s (- 2242m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.2755  loss_TTT: 0.0349  acc: 0.6218  lr: 0.0000 
ep/it:273- 190 niter:104750  499m 57s (- 2242m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.2659  loss_TTT: 0.0330  acc: 0.6242  lr: 0.0000 
ep/it:273- 240 niter:104800  500m 11s (- 2241m 45s) completed: 18%) loss_emb: 0.0000  loss: 1.2647  loss_TTT: 0.0324  acc: 0.6246  lr: 0.0000 
ep/it:273- 290 niter:104850  500m 24s (- 2241m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.2808  loss_TTT: 0.0329  acc: 0.6209  lr: 0.0000 
ep/it:273- 340 niter:104900  500m 38s (- 2241m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.2694  loss_TTT: 0.0335  acc: 0.6236  lr: 0.0000 
Validation time:
Validation loss:1.494, accuracy:0.580
ep/it:274-   7 niter:104950  500m 54s (- 2241m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0342  acc: 0.6211  lr: 0.0000 
ep/it:274-  57 niter:105000  501m 8s (- 2240m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.2482  loss_TTT: 0.0331  acc: 0.6304  lr: 0.0000 
ep/it:274- 107 niter:105050  501m 22s (- 2240m 35s) completed: 18%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0326  acc: 0.6259  lr: 0.0000 
ep/it:274- 157 niter:105100  501m 36s (- 2240m 19s) completed: 18%) loss_emb: 0.0000  loss: 1.2730  loss_TTT: 0.0336  acc: 0.6220  lr: 0.0000 
ep/it:274- 207 niter:105150  501m 51s (- 2240m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.2522  loss_TTT: 0.0322  acc: 0.6286  lr: 0.0000 
ep/it:274- 257 niter:105200  502m 5s (- 2239m 48s) completed: 18%) loss_emb: 0.0000  loss: 1.2526  loss_TTT: 0.0346  acc: 0.6291  lr: 0.0000 
ep/it:274- 307 niter:105250  502m 18s (- 2239m 32s) completed: 18%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0317  acc: 0.6247  lr: 0.0000 
ep/it:274- 357 niter:105300  502m 33s (- 2239m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.2835  loss_TTT: 0.0333  acc: 0.6203  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.595
ep/it:275-  24 niter:105350  502m 49s (- 2239m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.2740  loss_TTT: 0.0327  acc: 0.6226  lr: 0.0000 
ep/it:275-  74 niter:105400  503m 3s (- 2238m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0340  acc: 0.6249  lr: 0.0000 
ep/it:275- 124 niter:105450  503m 17s (- 2238m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0344  acc: 0.6245  lr: 0.0000 
ep/it:275- 174 niter:105500  503m 31s (- 2238m 24s) completed: 18%) loss_emb: 0.0000  loss: 1.2831  loss_TTT: 0.0323  acc: 0.6198  lr: 0.0000 
ep/it:275- 224 niter:105550  503m 45s (- 2238m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.2510  loss_TTT: 0.0337  acc: 0.6297  lr: 0.0000 
ep/it:275- 274 niter:105600  503m 59s (- 2237m 52s) completed: 18%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0323  acc: 0.6305  lr: 0.0000 
ep/it:275- 324 niter:105650  504m 13s (- 2237m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0329  acc: 0.6235  lr: 0.0000 
ep/it:275- 374 niter:105700  504m 27s (- 2237m 20s) completed: 18%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0332  acc: 0.6166  lr: 0.0000 
Validation time:
Validation loss:1.429, accuracy:0.596
ep/it:276-  41 niter:105750  504m 43s (- 2237m 16s) completed: 18%) loss_emb: 0.0000  loss: 1.2573  loss_TTT: 0.0319  acc: 0.6277  lr: 0.0000 
ep/it:276-  91 niter:105800  504m 57s (- 2236m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.2699  loss_TTT: 0.0331  acc: 0.6237  lr: 0.0000 
ep/it:276- 141 niter:105850  505m 11s (- 2236m 41s) completed: 18%) loss_emb: 0.0000  loss: 1.2826  loss_TTT: 0.0350  acc: 0.6200  lr: 0.0000 
ep/it:276- 191 niter:105900  505m 24s (- 2236m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.2401  loss_TTT: 0.0348  acc: 0.6326  lr: 0.0000 
ep/it:276- 241 niter:105950  505m 38s (- 2236m 9s) completed: 18%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0334  acc: 0.6271  lr: 0.0000 
ep/it:276- 291 niter:106000  505m 52s (- 2235m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.2477  loss_TTT: 0.0326  acc: 0.6310  lr: 0.0000 
ep/it:276- 341 niter:106050  506m 6s (- 2235m 35s) completed: 18%) loss_emb: 0.0000  loss: 1.2394  loss_TTT: 0.0322  acc: 0.6323  lr: 0.0000 
Validation time:
Validation loss:1.403, accuracy:0.603
ep/it:277-   8 niter:106100  506m 22s (- 2235m 29s) completed: 18%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0325  acc: 0.6292  lr: 0.0000 
ep/it:277-  58 niter:106150  506m 36s (- 2235m 13s) completed: 18%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0326  acc: 0.6242  lr: 0.0000 
ep/it:277- 108 niter:106200  506m 50s (- 2234m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.2678  loss_TTT: 0.0358  acc: 0.6238  lr: 0.0000 
ep/it:277- 158 niter:106250  507m 4s (- 2234m 43s) completed: 18%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0327  acc: 0.6261  lr: 0.0000 
ep/it:277- 208 niter:106300  507m 18s (- 2234m 27s) completed: 18%) loss_emb: 0.0000  loss: 1.2874  loss_TTT: 0.0347  acc: 0.6200  lr: 0.0000 
ep/it:277- 258 niter:106350  507m 32s (- 2234m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.2566  loss_TTT: 0.0317  acc: 0.6275  lr: 0.0000 
ep/it:277- 308 niter:106400  507m 46s (- 2233m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0347  acc: 0.6276  lr: 0.0000 
ep/it:277- 358 niter:106450  508m 0s (- 2233m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0325  acc: 0.6280  lr: 0.0000 
Validation time:
Validation loss:1.498, accuracy:0.581
ep/it:278-  25 niter:106500  508m 16s (- 2233m 31s) completed: 18%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0328  acc: 0.6319  lr: 0.0000 
ep/it:278-  75 niter:106550  508m 30s (- 2233m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.2827  loss_TTT: 0.0337  acc: 0.6213  lr: 0.0000 
ep/it:278- 125 niter:106600  508m 44s (- 2233m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.2810  loss_TTT: 0.0336  acc: 0.6214  lr: 0.0000 
ep/it:278- 175 niter:106650  508m 58s (- 2232m 47s) completed: 18%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0330  acc: 0.6298  lr: 0.0000 
ep/it:278- 225 niter:106700  509m 13s (- 2232m 33s) completed: 18%) loss_emb: 0.0000  loss: 1.2735  loss_TTT: 0.0359  acc: 0.6227  lr: 0.0000 
ep/it:278- 275 niter:106750  509m 27s (- 2232m 17s) completed: 18%) loss_emb: 0.0000  loss: 1.2693  loss_TTT: 0.0335  acc: 0.6240  lr: 0.0000 
ep/it:278- 325 niter:106800  509m 40s (- 2231m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.2645  loss_TTT: 0.0314  acc: 0.6250  lr: 0.0000 
ep/it:278- 375 niter:106850  509m 54s (- 2231m 43s) completed: 18%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0339  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.595
ep/it:279-  42 niter:106900  510m 11s (- 2231m 38s) completed: 18%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0339  acc: 0.6272  lr: 0.0000 
ep/it:279-  92 niter:106950  510m 24s (- 2231m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0333  acc: 0.6241  lr: 0.0000 
ep/it:279- 142 niter:107000  510m 38s (- 2231m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.2404  loss_TTT: 0.0324  acc: 0.6325  lr: 0.0000 
ep/it:279- 192 niter:107050  510m 53s (- 2230m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.2628  loss_TTT: 0.0342  acc: 0.6261  lr: 0.0000 
ep/it:279- 242 niter:107100  511m 6s (- 2230m 34s) completed: 18%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0316  acc: 0.6255  lr: 0.0000 
ep/it:279- 292 niter:107150  511m 20s (- 2230m 19s) completed: 18%) loss_emb: 0.0000  loss: 1.2747  loss_TTT: 0.0328  acc: 0.6220  lr: 0.0000 
ep/it:279- 342 niter:107200  511m 34s (- 2230m 2s) completed: 18%) loss_emb: 0.0000  loss: 1.2479  loss_TTT: 0.0334  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.398, accuracy:0.607

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.24it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.35it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.69it/s]
100%|██████████| 47/47 [00:05<00:00,  7.95it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4577848399057984 avg: 2.4577848399057984
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.454095548018813 avg: 2.455940193962306
--> 	 Eva. Repeat 22 :, FID. 0.1014, Diversity Real. 9.4848, Diversity. 10.0078, R_precision_real. [0.49609375 0.6875     0.79101562], R_precision. [0.49316406 0.68164062 0.79101562], matching_score_real. 2.9512, matching_score_pred. 3.0332, skate_ratio. 0.0481, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4922 (traj_fail_50cm (Traj err)): 0.2812 (kps_fail_20cm): 0.3489 (kps_fail_50cm (Loc. err)): 0.1852 (kps_mean_err(m) (Avg. err)): 0.3535 
ep/it:280-   9 niter:107250  511m 57s (- 2230m 25s) completed: 18%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0326  acc: 0.6249  lr: 0.0000 
ep/it:280-  59 niter:107300  512m 11s (- 2230m 10s) completed: 18%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0342  acc: 0.6216  lr: 0.0000 
ep/it:280- 109 niter:107350  512m 26s (- 2229m 56s) completed: 18%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0329  acc: 0.6244  lr: 0.0000 
ep/it:280- 159 niter:107400  512m 40s (- 2229m 40s) completed: 18%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0338  acc: 0.6221  lr: 0.0000 
ep/it:280- 209 niter:107450  512m 54s (- 2229m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0336  acc: 0.6278  lr: 0.0000 
ep/it:280- 259 niter:107500  513m 8s (- 2229m 12s) completed: 18%) loss_emb: 0.0000  loss: 1.3053  loss_TTT: 0.0340  acc: 0.6137  lr: 0.0000 
ep/it:280- 309 niter:107550  513m 23s (- 2228m 58s) completed: 18%) loss_emb: 0.0000  loss: 1.2588  loss_TTT: 0.0328  acc: 0.6267  lr: 0.0000 
ep/it:280- 359 niter:107600  513m 37s (- 2228m 43s) completed: 18%) loss_emb: 0.0000  loss: 1.2764  loss_TTT: 0.0319  acc: 0.6209  lr: 0.0000 
Validation time:
Validation loss:1.426, accuracy:0.597
ep/it:281-  26 niter:107650  513m 53s (- 2228m 37s) completed: 18%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0341  acc: 0.6269  lr: 0.0000 
ep/it:281-  76 niter:107700  514m 7s (- 2228m 22s) completed: 18%) loss_emb: 0.0000  loss: 1.2528  loss_TTT: 0.0348  acc: 0.6286  lr: 0.0000 
ep/it:281- 126 niter:107750  514m 21s (- 2228m 6s) completed: 18%) loss_emb: 0.0000  loss: 1.2756  loss_TTT: 0.0350  acc: 0.6227  lr: 0.0000 
ep/it:281- 176 niter:107800  514m 35s (- 2227m 50s) completed: 18%) loss_emb: 0.0000  loss: 1.2507  loss_TTT: 0.0334  acc: 0.6298  lr: 0.0000 
ep/it:281- 226 niter:107850  514m 49s (- 2227m 35s) completed: 18%) loss_emb: 0.0000  loss: 1.2763  loss_TTT: 0.0329  acc: 0.6215  lr: 0.0000 
ep/it:281- 276 niter:107900  515m 3s (- 2227m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.2273  loss_TTT: 0.0332  acc: 0.6359  lr: 0.0000 
ep/it:281- 326 niter:107950  515m 17s (- 2227m 1s) completed: 18%) loss_emb: 0.0000  loss: 1.2350  loss_TTT: 0.0320  acc: 0.6330  lr: 0.0000 
ep/it:281- 376 niter:108000  515m 31s (- 2226m 46s) completed: 18%) loss_emb: 0.0000  loss: 1.2416  loss_TTT: 0.0332  acc: 0.6312  lr: 0.0000 
Validation time:
Validation loss:1.400, accuracy:0.604
ep/it:282-  43 niter:108050  515m 48s (- 2226m 42s) completed: 18%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0329  acc: 0.6271  lr: 0.0000 
ep/it:282-  93 niter:108100  516m 2s (- 2226m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.2782  loss_TTT: 0.0328  acc: 0.6215  lr: 0.0000 
ep/it:282- 143 niter:108150  516m 16s (- 2226m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0331  acc: 0.6263  lr: 0.0000 
ep/it:282- 193 niter:108200  516m 30s (- 2225m 55s) completed: 18%) loss_emb: 0.0000  loss: 1.2660  loss_TTT: 0.0326  acc: 0.6247  lr: 0.0000 
ep/it:282- 243 niter:108250  516m 43s (- 2225m 38s) completed: 18%) loss_emb: 0.0000  loss: 1.2757  loss_TTT: 0.0332  acc: 0.6238  lr: 0.0000 
ep/it:282- 293 niter:108300  516m 58s (- 2225m 23s) completed: 18%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0328  acc: 0.6313  lr: 0.0000 
ep/it:282- 343 niter:108350  517m 11s (- 2225m 7s) completed: 18%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0339  acc: 0.6276  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.596
ep/it:283-  10 niter:108400  517m 28s (- 2225m 3s) completed: 18%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0338  acc: 0.6259  lr: 0.0000 
ep/it:283-  60 niter:108450  517m 42s (- 2224m 47s) completed: 18%) loss_emb: 0.0000  loss: 1.2423  loss_TTT: 0.0333  acc: 0.6318  lr: 0.0000 
ep/it:283- 110 niter:108500  517m 56s (- 2224m 32s) completed: 18%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0323  acc: 0.6280  lr: 0.0000 
ep/it:283- 160 niter:108550  518m 10s (- 2224m 16s) completed: 18%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0325  acc: 0.6320  lr: 0.0000 
ep/it:283- 210 niter:108600  518m 24s (- 2223m 59s) completed: 18%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0341  acc: 0.6259  lr: 0.0000 
ep/it:283- 260 niter:108650  518m 38s (- 2223m 42s) completed: 18%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0339  acc: 0.6291  lr: 0.0000 
ep/it:283- 310 niter:108700  518m 52s (- 2223m 26s) completed: 18%) loss_emb: 0.0000  loss: 1.2362  loss_TTT: 0.0345  acc: 0.6326  lr: 0.0000 
ep/it:283- 360 niter:108750  519m 6s (- 2223m 11s) completed: 18%) loss_emb: 0.0000  loss: 1.2330  loss_TTT: 0.0328  acc: 0.6336  lr: 0.0000 
Validation time:
Validation loss:1.424, accuracy:0.598
ep/it:284-  27 niter:108800  519m 22s (- 2223m 5s) completed: 18%) loss_emb: 0.0000  loss: 1.2637  loss_TTT: 0.0330  acc: 0.6245  lr: 0.0000 
ep/it:284-  77 niter:108850  519m 36s (- 2222m 51s) completed: 18%) loss_emb: 0.0000  loss: 1.2788  loss_TTT: 0.0340  acc: 0.6212  lr: 0.0000 
ep/it:284- 127 niter:108900  519m 50s (- 2222m 36s) completed: 18%) loss_emb: 0.0000  loss: 1.2543  loss_TTT: 0.0330  acc: 0.6282  lr: 0.0000 
ep/it:284- 177 niter:108950  520m 4s (- 2222m 18s) completed: 18%) loss_emb: 0.0000  loss: 1.2450  loss_TTT: 0.0326  acc: 0.6322  lr: 0.0000 
ep/it:284- 227 niter:109000  520m 18s (- 2222m 3s) completed: 18%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0336  acc: 0.6299  lr: 0.0000 
ep/it:284- 277 niter:109050  520m 33s (- 2221m 50s) completed: 18%) loss_emb: 0.0000  loss: 1.2652  loss_TTT: 0.0329  acc: 0.6249  lr: 0.0000 
ep/it:284- 327 niter:109100  520m 47s (- 2221m 34s) completed: 18%) loss_emb: 0.0000  loss: 1.2838  loss_TTT: 0.0332  acc: 0.6201  lr: 0.0000 
ep/it:284- 377 niter:109150  521m 0s (- 2221m 17s) completed: 18%) loss_emb: 0.0000  loss: 1.2646  loss_TTT: 0.0333  acc: 0.6251  lr: 0.0000 
Validation time:
Validation loss:1.453, accuracy:0.591
ep/it:285-  44 niter:109200  521m 17s (- 2221m 14s) completed: 19%) loss_emb: 0.0000  loss: 1.2391  loss_TTT: 0.0336  acc: 0.6320  lr: 0.0000 
ep/it:285-  94 niter:109250  521m 32s (- 2221m 0s) completed: 19%) loss_emb: 0.0000  loss: 1.2671  loss_TTT: 0.0359  acc: 0.6246  lr: 0.0000 
ep/it:285- 144 niter:109300  521m 46s (- 2220m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.2500  loss_TTT: 0.0329  acc: 0.6292  lr: 0.0000 
ep/it:285- 194 niter:109350  522m 0s (- 2220m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.2707  loss_TTT: 0.0330  acc: 0.6237  lr: 0.0000 
ep/it:285- 244 niter:109400  522m 14s (- 2220m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.2799  loss_TTT: 0.0325  acc: 0.6209  lr: 0.0000 
ep/it:285- 294 niter:109450  522m 28s (- 2219m 58s) completed: 19%) loss_emb: 0.0000  loss: 1.2493  loss_TTT: 0.0331  acc: 0.6297  lr: 0.0000 
ep/it:285- 344 niter:109500  522m 42s (- 2219m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0332  acc: 0.6248  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.592
ep/it:286-  11 niter:109550  522m 59s (- 2219m 38s) completed: 19%) loss_emb: 0.0000  loss: 1.2496  loss_TTT: 0.0322  acc: 0.6295  lr: 0.0000 
ep/it:286-  61 niter:109600  523m 12s (- 2219m 22s) completed: 19%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0330  acc: 0.6276  lr: 0.0000 
ep/it:286- 111 niter:109650  523m 26s (- 2219m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.2467  loss_TTT: 0.0338  acc: 0.6302  lr: 0.0000 
ep/it:286- 161 niter:109700  523m 40s (- 2218m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0334  acc: 0.6230  lr: 0.0000 
ep/it:286- 211 niter:109750  523m 54s (- 2218m 34s) completed: 19%) loss_emb: 0.0000  loss: 1.2535  loss_TTT: 0.0328  acc: 0.6278  lr: 0.0000 
ep/it:286- 261 niter:109800  524m 8s (- 2218m 19s) completed: 19%) loss_emb: 0.0000  loss: 1.2690  loss_TTT: 0.0320  acc: 0.6233  lr: 0.0000 
ep/it:286- 311 niter:109850  524m 23s (- 2218m 4s) completed: 19%) loss_emb: 0.0000  loss: 1.2772  loss_TTT: 0.0354  acc: 0.6229  lr: 0.0000 
ep/it:286- 361 niter:109900  524m 36s (- 2217m 47s) completed: 19%) loss_emb: 0.0000  loss: 1.2676  loss_TTT: 0.0328  acc: 0.6252  lr: 0.0000 
Validation time:
Validation loss:1.438, accuracy:0.593
ep/it:287-  28 niter:109950  524m 53s (- 2217m 42s) completed: 19%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0337  acc: 0.6275  lr: 0.0000 
ep/it:287-  78 niter:110000  525m 7s (- 2217m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.2579  loss_TTT: 0.0330  acc: 0.6269  lr: 0.0000 
ep/it:287- 128 niter:110050  525m 22s (- 2217m 15s) completed: 19%) loss_emb: 0.0000  loss: 1.2472  loss_TTT: 0.0332  acc: 0.6305  lr: 0.0000 
ep/it:287- 178 niter:110100  525m 36s (- 2217m 0s) completed: 19%) loss_emb: 0.0000  loss: 1.2561  loss_TTT: 0.0330  acc: 0.6283  lr: 0.0000 
ep/it:287- 228 niter:110150  525m 50s (- 2216m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.2759  loss_TTT: 0.0344  acc: 0.6223  lr: 0.0000 
ep/it:287- 278 niter:110200  526m 4s (- 2216m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0318  acc: 0.6305  lr: 0.0000 
ep/it:287- 328 niter:110250  526m 18s (- 2216m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0344  acc: 0.6218  lr: 0.0000 
ep/it:287- 378 niter:110300  526m 31s (- 2215m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.2536  loss_TTT: 0.0336  acc: 0.6291  lr: 0.0000 
Validation time:
Validation loss:1.445, accuracy:0.593
ep/it:288-  45 niter:110350  526m 48s (- 2215m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0336  acc: 0.6285  lr: 0.0000 
ep/it:288-  95 niter:110400  527m 2s (- 2215m 34s) completed: 19%) loss_emb: 0.0000  loss: 1.2684  loss_TTT: 0.0336  acc: 0.6256  lr: 0.0000 
ep/it:288- 145 niter:110450  527m 16s (- 2215m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.2597  loss_TTT: 0.0326  acc: 0.6272  lr: 0.0000 
ep/it:288- 195 niter:110500  527m 30s (- 2215m 1s) completed: 19%) loss_emb: 0.0000  loss: 1.2458  loss_TTT: 0.0321  acc: 0.6301  lr: 0.0000 
ep/it:288- 245 niter:110550  527m 44s (- 2214m 47s) completed: 19%) loss_emb: 0.0000  loss: 1.2557  loss_TTT: 0.0334  acc: 0.6272  lr: 0.0000 
ep/it:288- 295 niter:110600  527m 58s (- 2214m 32s) completed: 19%) loss_emb: 0.0000  loss: 1.2574  loss_TTT: 0.0331  acc: 0.6272  lr: 0.0000 
ep/it:288- 345 niter:110650  528m 12s (- 2214m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0322  acc: 0.6293  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.597
ep/it:289-  12 niter:110700  528m 29s (- 2214m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0339  acc: 0.6293  lr: 0.0000 
ep/it:289-  62 niter:110750  528m 43s (- 2213m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.2634  loss_TTT: 0.0337  acc: 0.6261  lr: 0.0000 
ep/it:289- 112 niter:110800  528m 57s (- 2213m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.2794  loss_TTT: 0.0327  acc: 0.6206  lr: 0.0000 
ep/it:289- 162 niter:110850  529m 11s (- 2213m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0321  acc: 0.6241  lr: 0.0000 
ep/it:289- 212 niter:110900  529m 25s (- 2213m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.2452  loss_TTT: 0.0347  acc: 0.6301  lr: 0.0000 
ep/it:289- 262 niter:110950  529m 38s (- 2212m 52s) completed: 19%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0332  acc: 0.6267  lr: 0.0000 
ep/it:289- 312 niter:111000  529m 52s (- 2212m 34s) completed: 19%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0335  acc: 0.6273  lr: 0.0000 
ep/it:289- 362 niter:111050  530m 6s (- 2212m 19s) completed: 19%) loss_emb: 0.0000  loss: 1.2572  loss_TTT: 0.0329  acc: 0.6272  lr: 0.0000 
Validation time:
Validation loss:1.464, accuracy:0.587

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:12,  3.61it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.45it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.73it/s]
100%|██████████| 47/47 [00:05<00:00,  8.07it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4520218297839165 avg: 2.4520218297839165
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.449592114891857 avg: 2.4508069723378867
--> 	 Eva. Repeat 22 :, FID. 0.1332, Diversity Real. 9.4618, Diversity. 9.6887, R_precision_real. [0.53417969 0.70507812 0.796875  ], R_precision. [0.5078125  0.69042969 0.7890625 ], matching_score_real. 2.8911, matching_score_pred. 2.9157, skate_ratio. 0.0492, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4873 (traj_fail_50cm (Traj err)): 0.2793 (kps_fail_20cm): 0.3512 (kps_fail_50cm (Loc. err)): 0.1874 (kps_mean_err(m) (Avg. err)): 0.3622 
ep/it:290-  29 niter:111100  530m 29s (- 2212m 40s) completed: 19%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0333  acc: 0.6203  lr: 0.0000 
ep/it:290-  79 niter:111150  530m 43s (- 2212m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0327  acc: 0.6236  lr: 0.0000 
ep/it:290- 129 niter:111200  530m 57s (- 2212m 9s) completed: 19%) loss_emb: 0.0000  loss: 1.2704  loss_TTT: 0.0329  acc: 0.6238  lr: 0.0000 
ep/it:290- 179 niter:111250  531m 11s (- 2211m 52s) completed: 19%) loss_emb: 0.0000  loss: 1.2384  loss_TTT: 0.0311  acc: 0.6324  lr: 0.0000 
ep/it:290- 229 niter:111300  531m 24s (- 2211m 35s) completed: 19%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0330  acc: 0.6303  lr: 0.0000 
ep/it:290- 279 niter:111350  531m 38s (- 2211m 18s) completed: 19%) loss_emb: 0.0000  loss: 1.2521  loss_TTT: 0.0320  acc: 0.6285  lr: 0.0000 
ep/it:290- 329 niter:111400  531m 52s (- 2211m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0341  acc: 0.6301  lr: 0.0000 
ep/it:290- 379 niter:111450  532m 6s (- 2210m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0323  acc: 0.6280  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.589
ep/it:291-  46 niter:111500  532m 23s (- 2210m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.2622  loss_TTT: 0.0345  acc: 0.6263  lr: 0.0000 
ep/it:291-  96 niter:111550  532m 38s (- 2210m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2607  loss_TTT: 0.0329  acc: 0.6269  lr: 0.0000 
ep/it:291- 146 niter:111600  532m 52s (- 2210m 16s) completed: 19%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0347  acc: 0.6229  lr: 0.0000 
ep/it:291- 196 niter:111650  533m 6s (- 2210m 1s) completed: 19%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0341  acc: 0.6272  lr: 0.0000 
ep/it:291- 246 niter:111700  533m 20s (- 2209m 46s) completed: 19%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0325  acc: 0.6244  lr: 0.0000 
ep/it:291- 296 niter:111750  533m 34s (- 2209m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.2715  loss_TTT: 0.0321  acc: 0.6233  lr: 0.0000 
ep/it:291- 346 niter:111800  533m 48s (- 2209m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.2524  loss_TTT: 0.0340  acc: 0.6285  lr: 0.0000 
Validation time:
Validation loss:1.488, accuracy:0.582
ep/it:292-  13 niter:111850  534m 4s (- 2209m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.2710  loss_TTT: 0.0340  acc: 0.6237  lr: 0.0000 
ep/it:292-  63 niter:111900  534m 18s (- 2208m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.2602  loss_TTT: 0.0329  acc: 0.6267  lr: 0.0000 
ep/it:292- 113 niter:111950  534m 32s (- 2208m 37s) completed: 19%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0338  acc: 0.6267  lr: 0.0000 
ep/it:292- 163 niter:112000  534m 46s (- 2208m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0334  acc: 0.6257  lr: 0.0000 
ep/it:292- 213 niter:112050  535m 1s (- 2208m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.2553  loss_TTT: 0.0344  acc: 0.6276  lr: 0.0000 
ep/it:292- 263 niter:112100  535m 14s (- 2207m 49s) completed: 19%) loss_emb: 0.0000  loss: 1.2761  loss_TTT: 0.0317  acc: 0.6218  lr: 0.0000 
ep/it:292- 313 niter:112150  535m 28s (- 2207m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0315  acc: 0.6252  lr: 0.0000 
ep/it:292- 363 niter:112200  535m 42s (- 2207m 17s) completed: 19%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0329  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.460, accuracy:0.590
ep/it:293-  30 niter:112250  535m 59s (- 2207m 12s) completed: 19%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0323  acc: 0.6225  lr: 0.0000 
ep/it:293-  80 niter:112300  536m 13s (- 2206m 57s) completed: 19%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0336  acc: 0.6226  lr: 0.0000 
ep/it:293- 130 niter:112350  536m 27s (- 2206m 43s) completed: 19%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0317  acc: 0.6289  lr: 0.0000 
ep/it:293- 180 niter:112400  536m 41s (- 2206m 27s) completed: 19%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0320  acc: 0.6272  lr: 0.0000 
ep/it:293- 230 niter:112450  536m 55s (- 2206m 11s) completed: 19%) loss_emb: 0.0000  loss: 1.2665  loss_TTT: 0.0332  acc: 0.6236  lr: 0.0000 
ep/it:293- 280 niter:112500  537m 9s (- 2205m 55s) completed: 19%) loss_emb: 0.0000  loss: 1.2893  loss_TTT: 0.0328  acc: 0.6185  lr: 0.0000 
ep/it:293- 330 niter:112550  537m 23s (- 2205m 40s) completed: 19%) loss_emb: 0.0000  loss: 1.2281  loss_TTT: 0.0324  acc: 0.6343  lr: 0.0000 
ep/it:293- 380 niter:112600  537m 37s (- 2205m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.2532  loss_TTT: 0.0323  acc: 0.6267  lr: 0.0000 
Validation time:
Validation loss:1.462, accuracy:0.591
ep/it:294-  47 niter:112650  537m 54s (- 2205m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.2703  loss_TTT: 0.0335  acc: 0.6233  lr: 0.0000 
ep/it:294-  97 niter:112700  538m 8s (- 2205m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.2712  loss_TTT: 0.0321  acc: 0.6232  lr: 0.0000 
ep/it:294- 147 niter:112750  538m 22s (- 2204m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.2546  loss_TTT: 0.0322  acc: 0.6277  lr: 0.0000 
ep/it:294- 197 niter:112800  538m 36s (- 2204m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2604  loss_TTT: 0.0314  acc: 0.6254  lr: 0.0000 
ep/it:294- 247 niter:112850  538m 50s (- 2204m 17s) completed: 19%) loss_emb: 0.0000  loss: 1.2617  loss_TTT: 0.0349  acc: 0.6259  lr: 0.0000 
ep/it:294- 297 niter:112900  539m 4s (- 2204m 2s) completed: 19%) loss_emb: 0.0000  loss: 1.2448  loss_TTT: 0.0322  acc: 0.6301  lr: 0.0000 
ep/it:294- 347 niter:112950  539m 18s (- 2203m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.2439  loss_TTT: 0.0342  acc: 0.6314  lr: 0.0000 
Validation time:
Validation loss:1.448, accuracy:0.593
ep/it:295-  14 niter:113000  539m 35s (- 2203m 45s) completed: 19%) loss_emb: 0.0000  loss: 1.2584  loss_TTT: 0.0338  acc: 0.6274  lr: 0.0000 
ep/it:295-  64 niter:113050  539m 50s (- 2203m 31s) completed: 19%) loss_emb: 0.0000  loss: 1.2569  loss_TTT: 0.0334  acc: 0.6278  lr: 0.0000 
ep/it:295- 114 niter:113100  540m 3s (- 2203m 14s) completed: 19%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0336  acc: 0.6299  lr: 0.0000 
ep/it:295- 164 niter:113150  540m 17s (- 2202m 57s) completed: 19%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0335  acc: 0.6262  lr: 0.0000 
ep/it:295- 214 niter:113200  540m 31s (- 2202m 39s) completed: 19%) loss_emb: 0.0000  loss: 1.2245  loss_TTT: 0.0324  acc: 0.6355  lr: 0.0000 
ep/it:295- 264 niter:113250  540m 44s (- 2202m 22s) completed: 19%) loss_emb: 0.0000  loss: 1.2547  loss_TTT: 0.0318  acc: 0.6282  lr: 0.0000 
ep/it:295- 314 niter:113300  540m 58s (- 2202m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0341  acc: 0.6268  lr: 0.0000 
ep/it:295- 364 niter:113350  541m 12s (- 2201m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.2636  loss_TTT: 0.0323  acc: 0.6263  lr: 0.0000 
Validation time:
Validation loss:1.463, accuracy:0.588
ep/it:296-  31 niter:113400  541m 29s (- 2201m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.2387  loss_TTT: 0.0322  acc: 0.6313  lr: 0.0000 
ep/it:296-  81 niter:113450  541m 43s (- 2201m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.2589  loss_TTT: 0.0345  acc: 0.6268  lr: 0.0000 
ep/it:296- 131 niter:113500  541m 56s (- 2201m 12s) completed: 19%) loss_emb: 0.0000  loss: 1.2610  loss_TTT: 0.0324  acc: 0.6256  lr: 0.0000 
ep/it:296- 181 niter:113550  542m 11s (- 2200m 59s) completed: 19%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0330  acc: 0.6314  lr: 0.0000 
ep/it:296- 231 niter:113600  542m 25s (- 2200m 44s) completed: 19%) loss_emb: 0.0000  loss: 1.2303  loss_TTT: 0.0323  acc: 0.6340  lr: 0.0000 
ep/it:296- 281 niter:113650  542m 39s (- 2200m 28s) completed: 19%) loss_emb: 0.0000  loss: 1.2310  loss_TTT: 0.0339  acc: 0.6340  lr: 0.0000 
ep/it:296- 331 niter:113700  542m 53s (- 2200m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.2455  loss_TTT: 0.0318  acc: 0.6307  lr: 0.0000 
ep/it:296- 381 niter:113750  543m 7s (- 2199m 58s) completed: 19%) loss_emb: 0.0000  loss: 1.2525  loss_TTT: 0.0316  acc: 0.6284  lr: 0.0000 
Validation time:
Validation loss:1.475, accuracy:0.586
ep/it:297-  48 niter:113800  543m 24s (- 2199m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.2718  loss_TTT: 0.0337  acc: 0.6234  lr: 0.0000 
ep/it:297-  98 niter:113850  543m 38s (- 2199m 39s) completed: 19%) loss_emb: 0.0000  loss: 1.2356  loss_TTT: 0.0312  acc: 0.6324  lr: 0.0000 
ep/it:297- 148 niter:113900  543m 52s (- 2199m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.2686  loss_TTT: 0.0325  acc: 0.6246  lr: 0.0000 
ep/it:297- 198 niter:113950  544m 6s (- 2199m 8s) completed: 19%) loss_emb: 0.0000  loss: 1.2769  loss_TTT: 0.0341  acc: 0.6220  lr: 0.0000 
ep/it:297- 248 niter:114000  544m 21s (- 2198m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.2407  loss_TTT: 0.0316  acc: 0.6310  lr: 0.0000 
ep/it:297- 298 niter:114050  544m 35s (- 2198m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.2488  loss_TTT: 0.0345  acc: 0.6286  lr: 0.0000 
ep/it:297- 348 niter:114100  544m 50s (- 2198m 26s) completed: 19%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0314  acc: 0.6308  lr: 0.0000 
Validation time:
Validation loss:1.406, accuracy:0.604
ep/it:298-  15 niter:114150  545m 6s (- 2198m 21s) completed: 19%) loss_emb: 0.0000  loss: 1.2349  loss_TTT: 0.0315  acc: 0.6340  lr: 0.0000 
ep/it:298-  65 niter:114200  545m 20s (- 2198m 6s) completed: 19%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0333  acc: 0.6224  lr: 0.0000 
ep/it:298- 115 niter:114250  545m 34s (- 2197m 50s) completed: 19%) loss_emb: 0.0000  loss: 1.2486  loss_TTT: 0.0335  acc: 0.6293  lr: 0.0000 
ep/it:298- 165 niter:114300  545m 48s (- 2197m 35s) completed: 19%) loss_emb: 0.0000  loss: 1.2405  loss_TTT: 0.0320  acc: 0.6310  lr: 0.0000 
ep/it:298- 215 niter:114350  546m 2s (- 2197m 19s) completed: 19%) loss_emb: 0.0000  loss: 1.2754  loss_TTT: 0.0321  acc: 0.6223  lr: 0.0000 
ep/it:298- 265 niter:114400  546m 16s (- 2197m 3s) completed: 19%) loss_emb: 0.0000  loss: 1.2867  loss_TTT: 0.0343  acc: 0.6198  lr: 0.0000 
ep/it:298- 315 niter:114450  546m 30s (- 2196m 48s) completed: 19%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0328  acc: 0.6261  lr: 0.0000 
ep/it:298- 365 niter:114500  546m 45s (- 2196m 33s) completed: 19%) loss_emb: 0.0000  loss: 1.2434  loss_TTT: 0.0299  acc: 0.6314  lr: 0.0000 
Validation time:
Validation loss:1.449, accuracy:0.592
ep/it:299-  32 niter:114550  547m 2s (- 2196m 29s) completed: 19%) loss_emb: 0.0000  loss: 1.2452  loss_TTT: 0.0337  acc: 0.6309  lr: 0.0000 
ep/it:299-  82 niter:114600  547m 15s (- 2196m 13s) completed: 19%) loss_emb: 0.0000  loss: 1.2741  loss_TTT: 0.0344  acc: 0.6237  lr: 0.0000 
ep/it:299- 132 niter:114650  547m 29s (- 2195m 57s) completed: 19%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0340  acc: 0.6217  lr: 0.0000 
ep/it:299- 182 niter:114700  547m 43s (- 2195m 41s) completed: 19%) loss_emb: 0.0000  loss: 1.2540  loss_TTT: 0.0326  acc: 0.6277  lr: 0.0000 
ep/it:299- 232 niter:114750  547m 57s (- 2195m 24s) completed: 19%) loss_emb: 0.0000  loss: 1.2153  loss_TTT: 0.0312  acc: 0.6388  lr: 0.0000 
ep/it:299- 282 niter:114800  548m 11s (- 2195m 9s) completed: 19%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0337  acc: 0.6250  lr: 0.0000 
ep/it:299- 332 niter:114850  548m 25s (- 2194m 53s) completed: 19%) loss_emb: 0.0000  loss: 1.2412  loss_TTT: 0.0326  acc: 0.6309  lr: 0.0000 
ep/it:299- 382 niter:114900  548m 39s (- 2194m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0338  acc: 0.6264  lr: 0.0000 
Validation time:
Validation loss:1.406, accuracy:0.605

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:14,  3.14it/s]
 34%|███▍      | 16/47 [00:02<00:05,  5.43it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.75it/s]
100%|██████████| 47/47 [00:05<00:00,  8.03it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4516788912005723 avg: 2.4516788912005723
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4502128991298378 avg: 2.450945895165205
--> 	 Eva. Repeat 22 :, FID. 0.1436, Diversity Real. 9.5060, Diversity. 9.6709, R_precision_real. [0.51464844 0.7109375  0.81445312], R_precision. [0.51660156 0.70996094 0.82421875], matching_score_real. 2.8304, matching_score_pred. 2.8385, skate_ratio. 0.0477, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.5127 (traj_fail_50cm (Traj err)): 0.3008 (kps_fail_20cm): 0.3649 (kps_fail_50cm (Loc. err)): 0.2013 (kps_mean_err(m) (Avg. err)): 0.3547 
ep/it:300-  49 niter:114950  549m 2s (- 2194m 57s) completed: 20%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0330  acc: 0.6290  lr: 0.0000 
ep/it:300-  99 niter:115000  549m 16s (- 2194m 42s) completed: 20%) loss_emb: 0.0000  loss: 1.2506  loss_TTT: 0.0334  acc: 0.6293  lr: 0.0000 
ep/it:300- 149 niter:115050  549m 30s (- 2194m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.2692  loss_TTT: 0.0334  acc: 0.6242  lr: 0.0000 
ep/it:300- 199 niter:115100  549m 44s (- 2194m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0336  acc: 0.6250  lr: 0.0000 
ep/it:300- 249 niter:115150  549m 58s (- 2193m 57s) completed: 20%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0323  acc: 0.6243  lr: 0.0000 
ep/it:300- 299 niter:115200  550m 12s (- 2193m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.2780  loss_TTT: 0.0328  acc: 0.6220  lr: 0.0000 
ep/it:300- 349 niter:115250  550m 26s (- 2193m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.2644  loss_TTT: 0.0329  acc: 0.6245  lr: 0.0000 
Validation time:
Validation loss:1.450, accuracy:0.593
ep/it:301-  16 niter:115300  550m 43s (- 2193m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0322  acc: 0.6315  lr: 0.0000 
ep/it:301-  66 niter:115350  550m 57s (- 2193m 5s) completed: 20%) loss_emb: 0.0000  loss: 1.2777  loss_TTT: 0.0329  acc: 0.6209  lr: 0.0000 
ep/it:301- 116 niter:115400  551m 11s (- 2192m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.2642  loss_TTT: 0.0337  acc: 0.6250  lr: 0.0000 
ep/it:301- 166 niter:115450  551m 25s (- 2192m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.2735  loss_TTT: 0.0323  acc: 0.6214  lr: 0.0000 
ep/it:301- 216 niter:115500  551m 39s (- 2192m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0335  acc: 0.6275  lr: 0.0000 
ep/it:301- 266 niter:115550  551m 53s (- 2192m 4s) completed: 20%) loss_emb: 0.0000  loss: 1.2744  loss_TTT: 0.0324  acc: 0.6231  lr: 0.0000 
ep/it:301- 316 niter:115600  552m 7s (- 2191m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.2512  loss_TTT: 0.0319  acc: 0.6285  lr: 0.0000 
ep/it:301- 366 niter:115650  552m 21s (- 2191m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.2304  loss_TTT: 0.0345  acc: 0.6353  lr: 0.0000 
Validation time:
Validation loss:1.409, accuracy:0.603
ep/it:302-  33 niter:115700  552m 38s (- 2191m 27s) completed: 20%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0325  acc: 0.6253  lr: 0.0000 
ep/it:302-  83 niter:115750  552m 52s (- 2191m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0321  acc: 0.6261  lr: 0.0000 
ep/it:302- 133 niter:115800  553m 6s (- 2190m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.2621  loss_TTT: 0.0338  acc: 0.6250  lr: 0.0000 
ep/it:302- 183 niter:115850  553m 20s (- 2190m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.2529  loss_TTT: 0.0328  acc: 0.6270  lr: 0.0000 
ep/it:302- 233 niter:115900  553m 34s (- 2190m 25s) completed: 20%) loss_emb: 0.0000  loss: 1.2657  loss_TTT: 0.0346  acc: 0.6263  lr: 0.0000 
ep/it:302- 283 niter:115950  553m 48s (- 2190m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.2683  loss_TTT: 0.0313  acc: 0.6243  lr: 0.0000 
ep/it:302- 333 niter:116000  554m 2s (- 2189m 52s) completed: 20%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0329  acc: 0.6278  lr: 0.0000 
Validation time:
Validation loss:1.407, accuracy:0.603
ep/it:303-   0 niter:116050  554m 18s (- 2189m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.2814  loss_TTT: 0.0348  acc: 0.6192  lr: 0.0000 
ep/it:303-  50 niter:116100  554m 32s (- 2189m 30s) completed: 20%) loss_emb: 0.0000  loss: 1.2530  loss_TTT: 0.0341  acc: 0.6285  lr: 0.0000 
ep/it:303- 100 niter:116150  554m 46s (- 2189m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0318  acc: 0.6312  lr: 0.0000 
ep/it:303- 150 niter:116200  555m 0s (- 2188m 58s) completed: 20%) loss_emb: 0.0000  loss: 1.2445  loss_TTT: 0.0331  acc: 0.6304  lr: 0.0000 
ep/it:303- 200 niter:116250  555m 14s (- 2188m 43s) completed: 20%) loss_emb: 0.0000  loss: 1.2414  loss_TTT: 0.0328  acc: 0.6315  lr: 0.0000 
ep/it:303- 250 niter:116300  555m 28s (- 2188m 27s) completed: 20%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0328  acc: 0.6245  lr: 0.0000 
ep/it:303- 300 niter:116350  555m 42s (- 2188m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.2791  loss_TTT: 0.0328  acc: 0.6213  lr: 0.0000 
ep/it:303- 350 niter:116400  555m 56s (- 2187m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.2649  loss_TTT: 0.0326  acc: 0.6258  lr: 0.0000 
Validation time:
Validation loss:1.401, accuracy:0.603
ep/it:304-  17 niter:116450  556m 12s (- 2187m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.2519  loss_TTT: 0.0325  acc: 0.6277  lr: 0.0000 
ep/it:304-  67 niter:116500  556m 26s (- 2187m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.2670  loss_TTT: 0.0315  acc: 0.6248  lr: 0.0000 
ep/it:304- 117 niter:116550  556m 41s (- 2187m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.2429  loss_TTT: 0.0325  acc: 0.6299  lr: 0.0000 
ep/it:304- 167 niter:116600  556m 55s (- 2187m 4s) completed: 20%) loss_emb: 0.0000  loss: 1.2691  loss_TTT: 0.0324  acc: 0.6233  lr: 0.0000 
ep/it:304- 217 niter:116650  557m 9s (- 2186m 49s) completed: 20%) loss_emb: 0.0000  loss: 1.2582  loss_TTT: 0.0332  acc: 0.6279  lr: 0.0000 
ep/it:304- 267 niter:116700  557m 23s (- 2186m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0330  acc: 0.6255  lr: 0.0000 
ep/it:304- 317 niter:116750  557m 36s (- 2186m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.2475  loss_TTT: 0.0312  acc: 0.6299  lr: 0.0000 
ep/it:304- 367 niter:116800  557m 50s (- 2186m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.2468  loss_TTT: 0.0332  acc: 0.6316  lr: 0.0000 
Validation time:
Validation loss:1.477, accuracy:0.584
ep/it:305-  34 niter:116850  558m 7s (- 2185m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.2520  loss_TTT: 0.0334  acc: 0.6281  lr: 0.0000 
ep/it:305-  84 niter:116900  558m 21s (- 2185m 40s) completed: 20%) loss_emb: 0.0000  loss: 1.2390  loss_TTT: 0.0337  acc: 0.6333  lr: 0.0000 
ep/it:305- 134 niter:116950  558m 35s (- 2185m 24s) completed: 20%) loss_emb: 0.0000  loss: 1.2601  loss_TTT: 0.0318  acc: 0.6250  lr: 0.0000 
ep/it:305- 184 niter:117000  558m 49s (- 2185m 7s) completed: 20%) loss_emb: 0.0000  loss: 1.2653  loss_TTT: 0.0323  acc: 0.6243  lr: 0.0000 
ep/it:305- 234 niter:117050  559m 2s (- 2184m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.2618  loss_TTT: 0.0328  acc: 0.6263  lr: 0.0000 
ep/it:305- 284 niter:117100  559m 16s (- 2184m 35s) completed: 20%) loss_emb: 0.0000  loss: 1.2790  loss_TTT: 0.0334  acc: 0.6213  lr: 0.0000 
ep/it:305- 334 niter:117150  559m 31s (- 2184m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.2497  loss_TTT: 0.0326  acc: 0.6286  lr: 0.0000 
Validation time:
Validation loss:1.435, accuracy:0.596
ep/it:306-   1 niter:117200  559m 47s (- 2184m 13s) completed: 20%) loss_emb: 0.0000  loss: 1.2859  loss_TTT: 0.0321  acc: 0.6187  lr: 0.0000 
ep/it:306-  51 niter:117250  560m 1s (- 2183m 57s) completed: 20%) loss_emb: 0.0000  loss: 1.2916  loss_TTT: 0.0342  acc: 0.6169  lr: 0.0000 
ep/it:306- 101 niter:117300  560m 15s (- 2183m 42s) completed: 20%) loss_emb: 0.0000  loss: 1.2435  loss_TTT: 0.0322  acc: 0.6316  lr: 0.0000 
ep/it:306- 151 niter:117350  560m 29s (- 2183m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.2488  loss_TTT: 0.0329  acc: 0.6296  lr: 0.0000 
ep/it:306- 201 niter:117400  560m 42s (- 2183m 9s) completed: 20%) loss_emb: 0.0000  loss: 1.2785  loss_TTT: 0.0330  acc: 0.6218  lr: 0.0000 
ep/it:306- 251 niter:117450  560m 57s (- 2182m 54s) completed: 20%) loss_emb: 0.0000  loss: 1.2673  loss_TTT: 0.0324  acc: 0.6236  lr: 0.0000 
ep/it:306- 301 niter:117500  561m 10s (- 2182m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.2495  loss_TTT: 0.0328  acc: 0.6295  lr: 0.0000 
ep/it:306- 351 niter:117550  561m 25s (- 2182m 23s) completed: 20%) loss_emb: 0.0000  loss: 1.2615  loss_TTT: 0.0323  acc: 0.6257  lr: 0.0000 
Validation time:
Validation loss:1.444, accuracy:0.595
ep/it:307-  18 niter:117600  561m 41s (- 2182m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.2611  loss_TTT: 0.0324  acc: 0.6253  lr: 0.0000 
ep/it:307-  68 niter:117650  561m 55s (- 2182m 1s) completed: 20%) loss_emb: 0.0000  loss: 1.2822  loss_TTT: 0.0322  acc: 0.6203  lr: 0.0000 
ep/it:307- 118 niter:117700  562m 8s (- 2181m 43s) completed: 20%) loss_emb: 0.0000  loss: 1.2600  loss_TTT: 0.0318  acc: 0.6259  lr: 0.0000 
ep/it:307- 168 niter:117750  562m 22s (- 2181m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.2732  loss_TTT: 0.0326  acc: 0.6231  lr: 0.0000 
ep/it:307- 218 niter:117800  562m 36s (- 2181m 10s) completed: 20%) loss_emb: 0.0000  loss: 1.2492  loss_TTT: 0.0341  acc: 0.6283  lr: 0.0000 
ep/it:307- 268 niter:117850  562m 50s (- 2180m 53s) completed: 20%) loss_emb: 0.0000  loss: 1.2485  loss_TTT: 0.0319  acc: 0.6298  lr: 0.0000 
ep/it:307- 318 niter:117900  563m 3s (- 2180m 37s) completed: 20%) loss_emb: 0.0000  loss: 1.2552  loss_TTT: 0.0338  acc: 0.6278  lr: 0.0000 
ep/it:307- 368 niter:117950  563m 17s (- 2180m 21s) completed: 20%) loss_emb: 0.0000  loss: 1.2453  loss_TTT: 0.0330  acc: 0.6309  lr: 0.0000 
Validation time:
Validation loss:1.428, accuracy:0.596
ep/it:308-  35 niter:118000  563m 34s (- 2180m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.2654  loss_TTT: 0.0321  acc: 0.6238  lr: 0.0000 
ep/it:308-  85 niter:118050  563m 48s (- 2180m 1s) completed: 20%) loss_emb: 0.0000  loss: 1.2544  loss_TTT: 0.0329  acc: 0.6267  lr: 0.0000 
ep/it:308- 135 niter:118100  564m 2s (- 2179m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.2664  loss_TTT: 0.0324  acc: 0.6251  lr: 0.0000 
ep/it:308- 185 niter:118150  564m 16s (- 2179m 29s) completed: 20%) loss_emb: 0.0000  loss: 1.2326  loss_TTT: 0.0313  acc: 0.6335  lr: 0.0000 
ep/it:308- 235 niter:118200  564m 30s (- 2179m 12s) completed: 20%) loss_emb: 0.0000  loss: 1.2460  loss_TTT: 0.0328  acc: 0.6298  lr: 0.0000 
ep/it:308- 285 niter:118250  564m 44s (- 2178m 56s) completed: 20%) loss_emb: 0.0000  loss: 1.2548  loss_TTT: 0.0318  acc: 0.6272  lr: 0.0000 
ep/it:308- 335 niter:118300  564m 57s (- 2178m 39s) completed: 20%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0340  acc: 0.6270  lr: 0.0000 
Validation time:
Validation loss:1.411, accuracy:0.604
ep/it:309-   2 niter:118350  565m 14s (- 2178m 33s) completed: 20%) loss_emb: 0.0000  loss: 1.2395  loss_TTT: 0.0334  acc: 0.6314  lr: 0.0000 
ep/it:309-  52 niter:118400  565m 28s (- 2178m 19s) completed: 20%) loss_emb: 0.0000  loss: 1.2433  loss_TTT: 0.0326  acc: 0.6306  lr: 0.0000 
ep/it:309- 102 niter:118450  565m 41s (- 2178m 1s) completed: 20%) loss_emb: 0.0000  loss: 1.2427  loss_TTT: 0.0329  acc: 0.6315  lr: 0.0000 
ep/it:309- 152 niter:118500  565m 55s (- 2177m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.2650  loss_TTT: 0.0324  acc: 0.6244  lr: 0.0000 
ep/it:309- 202 niter:118550  566m 10s (- 2177m 31s) completed: 20%) loss_emb: 0.0000  loss: 1.2727  loss_TTT: 0.0328  acc: 0.6235  lr: 0.0000 
ep/it:309- 252 niter:118600  566m 24s (- 2177m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.2578  loss_TTT: 0.0330  acc: 0.6257  lr: 0.0000 
ep/it:309- 302 niter:118650  566m 38s (- 2176m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.2740  loss_TTT: 0.0332  acc: 0.6215  lr: 0.0000 
ep/it:309- 352 niter:118700  566m 52s (- 2176m 44s) completed: 20%) loss_emb: 0.0000  loss: 1.2583  loss_TTT: 0.0327  acc: 0.6260  lr: 0.0000 
Validation time:
Validation loss:1.446, accuracy:0.593

  0%|          | 0/47 [00:00<?, ?it/s]
  2%|▏         | 1/47 [00:00<00:18,  2.55it/s]
 34%|███▍      | 16/47 [00:03<00:05,  5.28it/s]
 68%|██████▊   | 32/47 [00:05<00:02,  5.53it/s]
100%|██████████| 47/47 [00:06<00:00,  7.71it/s]
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4709101780317724 avg: 2.4709101780317724
ct2m_transformer 的type是: <class 'models.mask_transformer.control_transformer_my.ControlTransformer'>,True
logits_shape: [512, 49, 128]
Time:  2.4722412088885903 avg: 2.4715756934601814
--> 	 Eva. Repeat 22 :, FID. 0.1044, Diversity Real. 9.7674, Diversity. 9.6836, R_precision_real. [0.52441406 0.69921875 0.80371094], R_precision. [0.51855469 0.70605469 0.8046875 ], matching_score_real. 2.9371, matching_score_pred. 2.9884, skate_ratio. 0.0447, avoid_dist. 0.0000, multimodality. 0.0000, 
(traj_fail_20cm): 0.4961 (traj_fail_50cm (Traj err)): 0.2803 (kps_fail_20cm): 0.3530 (kps_fail_50cm (Loc. err)): 0.1926 (kps_mean_err(m) (Avg. err)): 0.3474 
ep/it:310-  19 niter:118750  567m 15s (- 2177m 5s) completed: 20%) loss_emb: 0.0000  loss: 1.2870  loss_TTT: 0.0322  acc: 0.6185  lr: 0.0000 
ep/it:310-  69 niter:118800  567m 29s (- 2176m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.2626  loss_TTT: 0.0325  acc: 0.6250  lr: 0.0000 
ep/it:310- 119 niter:118850  567m 43s (- 2176m 32s) completed: 20%) loss_emb: 0.0000  loss: 1.2243  loss_TTT: 0.0303  acc: 0.6358  lr: 0.0000 
ep/it:310- 169 niter:118900  567m 57s (- 2176m 18s) completed: 20%) loss_emb: 0.0000  loss: 1.2424  loss_TTT: 0.0339  acc: 0.6324  lr: 0.0000 
ep/it:310- 219 niter:118950  568m 11s (- 2176m 2s) completed: 20%) loss_emb: 0.0000  loss: 1.2351  loss_TTT: 0.0335  acc: 0.6339  lr: 0.0000 
ep/it:310- 269 niter:119000  568m 26s (- 2175m 48s) completed: 20%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0334  acc: 0.6250  lr: 0.0000 
ep/it:310- 319 niter:119050  568m 40s (- 2175m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.2449  loss_TTT: 0.0314  acc: 0.6309  lr: 0.0000 
ep/it:310- 369 niter:119100  568m 55s (- 2175m 21s) completed: 20%) loss_emb: 0.0000  loss: 1.2508  loss_TTT: 0.0330  acc: 0.6297  lr: 0.0000 
Validation time:
Validation loss:1.399, accuracy:0.605
ep/it:311-  36 niter:119150  569m 11s (- 2175m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.2463  loss_TTT: 0.0338  acc: 0.6283  lr: 0.0000 
ep/it:311-  86 niter:119200  569m 25s (- 2174m 59s) completed: 20%) loss_emb: 0.0000  loss: 1.2599  loss_TTT: 0.0328  acc: 0.6269  lr: 0.0000 
ep/it:311- 136 niter:119250  569m 39s (- 2174m 43s) completed: 20%) loss_emb: 0.0000  loss: 1.2639  loss_TTT: 0.0327  acc: 0.6246  lr: 0.0000 
ep/it:311- 186 niter:119300  569m 53s (- 2174m 26s) completed: 20%) loss_emb: 0.0000  loss: 1.2640  loss_TTT: 0.0323  acc: 0.6251  lr: 0.0000 
ep/it:311- 236 niter:119350  570m 7s (- 2174m 11s) completed: 20%) loss_emb: 0.0000  loss: 1.2595  loss_TTT: 0.0317  acc: 0.6265  lr: 0.0000 
ep/it:311- 286 niter:119400  570m 21s (- 2173m 55s) completed: 20%) loss_emb: 0.0000  loss: 1.2461  loss_TTT: 0.0321  acc: 0.6296  lr: 0.0000 
ep/it:311- 336 niter:119450  570m 34s (- 2173m 39s) completed: 20%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0326  acc: 0.6319  lr: 0.0000 
Validation time:
Validation loss:1.418, accuracy:0.600
ep/it:312-   3 niter:119500  570m 50s (- 2173m 31s) completed: 20%) loss_emb: 0.0000  loss: 1.2422  loss_TTT: 0.0334  acc: 0.6302  lr: 0.0000 
ep/it:312-  53 niter:119550  571m 5s (- 2173m 16s) completed: 20%) loss_emb: 0.0000  loss: 1.2593  loss_TTT: 0.0323  acc: 0.6271  lr: 0.0000 
ep/it:312- 103 niter:119600  571m 19s (- 2173m 2s) completed: 20%) loss_emb: 0.0000  loss: 1.2719  loss_TTT: 0.0344  acc: 0.6232  lr: 0.0000 
ep/it:312- 153 niter:119650  571m 33s (- 2172m 46s) completed: 20%) loss_emb: 0.0000  loss: 1.2648  loss_TTT: 0.0324  acc: 0.6250  lr: 0.0000 
ep/it:312- 203 niter:119700  571m 47s (- 2172m 30s) completed: 20%) loss_emb: 0.0000  loss: 1.2527  loss_TTT: 0.0327  acc: 0.6285  lr: 0.0000 
ep/it:312- 253 niter:119750  572m 1s (- 2172m 15s) completed: 20%) loss_emb: 0.0000  loss: 1.2651  loss_TTT: 0.0331  acc: 0.6248  lr: 0.0000 
ep/it:312- 303 niter:119800  572m 15s (- 2172m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.2558  loss_TTT: 0.0330  acc: 0.6268  lr: 0.0000 
ep/it:312- 353 niter:119850  572m 29s (- 2171m 43s) completed: 20%) loss_emb: 0.0000  loss: 1.2795  loss_TTT: 0.0323  acc: 0.6206  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.595
ep/it:313-  20 niter:119900  572m 45s (- 2171m 36s) completed: 20%) loss_emb: 0.0000  loss: 1.2490  loss_TTT: 0.0320  acc: 0.6305  lr: 0.0000 
ep/it:313-  70 niter:119950  572m 59s (- 2171m 20s) completed: 20%) loss_emb: 0.0000  loss: 1.2625  loss_TTT: 0.0334  acc: 0.6257  lr: 0.0000 
ep/it:313- 120 niter:120000  573m 12s (- 2171m 3s) completed: 20%) loss_emb: 0.0000  loss: 1.2950  loss_TTT: 0.0331  acc: 0.6160  lr: 0.0000 
ep/it:313- 170 niter:120050  573m 27s (- 2170m 50s) completed: 20%) loss_emb: 0.0000  loss: 1.2806  loss_TTT: 0.0316  acc: 0.6196  lr: 0.0000 
ep/it:313- 220 niter:120100  573m 41s (- 2170m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.2511  loss_TTT: 0.0333  acc: 0.6285  lr: 0.0000 
ep/it:313- 270 niter:120150  573m 55s (- 2170m 17s) completed: 20%) loss_emb: 0.0000  loss: 1.2655  loss_TTT: 0.0339  acc: 0.6253  lr: 0.0000 
ep/it:313- 320 niter:120200  574m 8s (- 2170m 0s) completed: 20%) loss_emb: 0.0000  loss: 1.2745  loss_TTT: 0.0314  acc: 0.6212  lr: 0.0000 
ep/it:313- 370 niter:120250  574m 22s (- 2169m 45s) completed: 20%) loss_emb: 0.0000  loss: 1.2771  loss_TTT: 0.0328  acc: 0.6218  lr: 0.0000 
Validation time:
Validation loss:1.452, accuracy:0.591
ep/it:314-  37 niter:120300  574m 39s (- 2169m 38s) completed: 20%) loss_emb: 0.0000  loss: 1.2587  loss_TTT: 0.0328  acc: 0.6262  lr: 0.0000 
ep/it:314-  87 niter:120350  574m 53s (- 2169m 22s) completed: 20%) loss_emb: 0.0000  loss: 1.2357  loss_TTT: 0.0317  acc: 0.6323  lr: 0.0000 
ep/it:314- 137 niter:120400  575m 7s (- 2169m 7s) completed: 20%) loss_emb: 0.0000  loss: 1.2592  loss_TTT: 0.0326  acc: 0.6264  lr: 0.0000 
ep/it:314- 187 niter:120450  575m 21s (- 2168m 51s) completed: 20%) loss_emb: 0.0000  loss: 1.2580  loss_TTT: 0.0319  acc: 0.6274  lr: 0.0000 
ep/it:314- 237 niter:120500  575m 34s (- 2168m 34s) completed: 20%) loss_emb: 0.0000  loss: 1.2563  loss_TTT: 0.0323  acc: 0.6275  lr: 0.0000 
ep/it:314- 287 niter:120550  575m 49s (- 2168m 19s) completed: 20%) loss_emb: 0.0000  loss: 1.2438  loss_TTT: 0.0312  acc: 0.6302  lr: 0.0000 
ep/it:314- 337 niter:120600  576m 3s (- 2168m 4s) completed: 20%) loss_emb: 0.0000  loss: 1.2620  loss_TTT: 0.0340  acc: 0.6252  lr: 0.0000 
Validation time:
Validation loss:1.483, accuracy:0.583
ep/it:315-   4 niter:120650  576m 19s (- 2167m 56s) completed: 21%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0322  acc: 0.6242  lr: 0.0000 
ep/it:315-  54 niter:120700  576m 33s (- 2167m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.2668  loss_TTT: 0.0330  acc: 0.6234  lr: 0.0000 
ep/it:315- 104 niter:120750  576m 46s (- 2167m 24s) completed: 21%) loss_emb: 0.0000  loss: 1.2890  loss_TTT: 0.0321  acc: 0.6174  lr: 0.0000 
ep/it:315- 154 niter:120800  577m 0s (- 2167m 6s) completed: 21%) loss_emb: 0.0000  loss: 1.2646  loss_TTT: 0.0328  acc: 0.6250  lr: 0.0000 
ep/it:315- 204 niter:120850  577m 14s (- 2166m 50s) completed: 21%) loss_emb: 0.0000  loss: 1.2430  loss_TTT: 0.0334  acc: 0.6306  lr: 0.0000 
ep/it:315- 254 niter:120900  577m 27s (- 2166m 33s) completed: 21%) loss_emb: 0.0000  loss: 1.2731  loss_TTT: 0.0310  acc: 0.6223  lr: 0.0000 
ep/it:315- 304 niter:120950  577m 41s (- 2166m 18s) completed: 21%) loss_emb: 0.0000  loss: 1.2614  loss_TTT: 0.0328  acc: 0.6257  lr: 0.0000 
ep/it:315- 354 niter:121000  577m 55s (- 2166m 2s) completed: 21%) loss_emb: 0.0000  loss: 1.2392  loss_TTT: 0.0338  acc: 0.6311  lr: 0.0000 
Validation time:
Validation loss:1.469, accuracy:0.586
ep/it:316-  21 niter:121050  578m 12s (- 2165m 57s) completed: 21%) loss_emb: 0.0000  loss: 1.2689  loss_TTT: 0.0333  acc: 0.6238  lr: 0.0000 
ep/it:316-  71 niter:121100  578m 26s (- 2165m 41s) completed: 21%) loss_emb: 0.0000  loss: 1.2413  loss_TTT: 0.0318  acc: 0.6303  lr: 0.0000 
ep/it:316- 121 niter:121150  578m 40s (- 2165m 26s) completed: 21%) loss_emb: 0.0000  loss: 1.2355  loss_TTT: 0.0316  acc: 0.6318  lr: 0.0000 
ep/it:316- 171 niter:121200  578m 54s (- 2165m 10s) completed: 21%) loss_emb: 0.0000  loss: 1.2318  loss_TTT: 0.0317  acc: 0.6349  lr: 0.0000 
ep/it:316- 221 niter:121250  579m 8s (- 2164m 54s) completed: 21%) loss_emb: 0.0000  loss: 1.2531  loss_TTT: 0.0335  acc: 0.6292  lr: 0.0000 
ep/it:316- 271 niter:121300  579m 22s (- 2164m 38s) completed: 21%) loss_emb: 0.0000  loss: 1.2425  loss_TTT: 0.0324  acc: 0.6299  lr: 0.0000 
ep/it:316- 321 niter:121350  579m 36s (- 2164m 23s) completed: 21%) loss_emb: 0.0000  loss: 1.2621  loss_TTT: 0.0328  acc: 0.6263  lr: 0.0000 
ep/it:316- 371 niter:121400  579m 50s (- 2164m 6s) completed: 21%) loss_emb: 0.0000  loss: 1.2607  loss_TTT: 0.0313  acc: 0.6260  lr: 0.0000 
Validation time:
Validation loss:1.433, accuracy:0.595
ep/it:317-  38 niter:121450  580m 6s (- 2164m 0s) completed: 21%) loss_emb: 0.0000  loss: 1.2409  loss_TTT: 0.0337  acc: 0.6324  lr: 0.0000 
ep/it:317-  88 niter:121500  580m 20s (- 2163m 45s) completed: 21%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0323  acc: 0.6324  lr: 0.0000 
ep/it:317- 138 niter:121550  580m 35s (- 2163m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.2567  loss_TTT: 0.0317  acc: 0.6268  lr: 0.0000 
ep/it:317- 188 niter:121600  580m 48s (- 2163m 14s) completed: 21%) loss_emb: 0.0000  loss: 1.2299  loss_TTT: 0.0323  acc: 0.6351  lr: 0.0000 
ep/it:317- 238 niter:121650  581m 2s (- 2162m 59s) completed: 21%) loss_emb: 0.0000  loss: 1.2359  loss_TTT: 0.0341  acc: 0.6332  lr: 0.0000 
ep/it:317- 288 niter:121700  581m 16s (- 2162m 43s) completed: 21%) loss_emb: 0.0000  loss: 1.2627  loss_TTT: 0.0336  acc: 0.6259  lr: 0.0000 
ep/it:317- 338 niter:121750  581m 30s (- 2162m 27s) completed: 21%) loss_emb: 0.0000  loss: 1.2390  loss_TTT: 0.0341  acc: 0.6332  lr: 0.0000 
Validation time:
Validation loss:1.434, accuracy:0.596
ep/it:318-   5 niter:121800  581m 47s (- 2162m 20s) completed: 21%) loss_emb: 0.0000  loss: 1.2440  loss_TTT: 0.0332  acc: 0.6298  lr: 0.0000 
ep/it:318-  55 niter:121850  582m 1s (- 2162m 6s) completed: 21%) loss_emb: 0.0000  loss: 1.2484  loss_TTT: 0.0307  acc: 0.6286  lr: 0.0000 
ep/it:318- 105 niter:121900  582m 14s (- 2161m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.2717  loss_TTT: 0.0326  acc: 0.6238  lr: 0.0000 
ep/it:318- 155 niter:121950  582m 28s (- 2161m 31s) completed: 21%) loss_emb: 0.0000  loss: 1.2643  loss_TTT: 0.0328  acc: 0.6253  lr: 0.0000 
ep/it:318- 205 niter:122000  582m 42s (- 2161m 16s) completed: 21%) loss_emb: 0.0000  loss: 1.2457  loss_TTT: 0.0337  acc: 0.6301  lr: 0.0000 
ep/it:318- 255 niter:122050  582m 56s (- 2161m 2s) completed: 21%) loss_emb: 0.0000  loss: 1.2301  loss_TTT: 0.0332  acc: 0.6337  lr: 0.0000 
ep/it:318- 305 niter:122100  583m 11s (- 2160m 48s) completed: 21%) loss_emb: 0.0000  loss: 1.2381  loss_TTT: 0.0326  acc: 0.6322  lr: 0.0000 
ep/it:318- 355 niter:122150  583m 25s (- 2160m 32s) completed: 21%) loss_emb: 0.0000  loss: 1.2473  loss_TTT: 0.0340  acc: 0.6298  lr: 0.0000 
Validation time:
Validation loss:1.430, accuracy:0.597