a0_compact_artifact_smoke_seed0_kerrigan_rerun1.log

[rank0]:[W806 11:34:15.717421521 ProcessGroupNCCL.cpp:4115] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect.Specify device_ids in barrier() to force use of a particular device,or call init_process_group() with a device_id.
/home/jiaqi/NoPE/wan/modules/vae.py:634: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  torch.load(pretrained_path, map_location=device), assign=True)
KV inference with 1 frames per block

  0%|          | 0/84 [00:00<?, ?it/s]
  1%|          | 1/84 [00:00<01:03,  1.30it/s]
  2%|▏         | 2/84 [00:01<00:50,  1.61it/s]
  4%|▎         | 3/84 [00:01<00:46,  1.73it/s]
  5%|▍         | 4/84 [00:02<00:45,  1.76it/s]
  6%|▌         | 5/84 [00:02<00:45,  1.75it/s]
  7%|▋         | 6/84 [00:03<00:45,  1.72it/s]
  8%|▊         | 7/84 [00:04<00:45,  1.69it/s]
 10%|▉         | 8/84 [00:04<00:46,  1.65it/s]
 11%|█         | 9/84 [00:05<00:46,  1.61it/s]
 12%|█▏        | 10/84 [00:06<00:47,  1.57it/s]
 13%|█▎        | 11/84 [00:06<00:47,  1.53it/s]
 14%|█▍        | 12/84 [00:07<00:48,  1.49it/s]
 15%|█▌        | 13/84 [00:08<00:49,  1.44it/s]
 17%|█▋        | 14/84 [00:09<00:49,  1.40it/s]
 18%|█▊        | 15/84 [00:09<00:50,  1.36it/s]
 19%|█▉        | 16/84 [00:10<00:51,  1.33it/s]
 20%|██        | 17/84 [00:11<00:51,  1.29it/s]
 21%|██▏       | 18/84 [00:12<00:52,  1.26it/s]
 23%|██▎       | 19/84 [00:13<00:53,  1.22it/s]
 24%|██▍       | 20/84 [00:14<00:53,  1.19it/s]
 25%|██▌       | 21/84 [00:14<00:54,  1.16it/s]
 26%|██▌       | 22/84 [00:15<00:54,  1.13it/s]
 27%|██▋       | 23/84 [00:16<00:55,  1.11it/s]
 29%|██▊       | 24/84 [00:17<00:55,  1.08it/s]
 30%|██▉       | 25/84 [00:18<00:55,  1.05it/s]
 31%|███       | 26/84 [00:19<00:56,  1.03it/s]
 32%|███▏      | 27/84 [00:20<00:56,  1.01it/s]
 33%|███▎      | 28/84 [00:21<00:56,  1.01s/it]
 35%|███▍      | 29/84 [00:23<00:56,  1.04s/it]
 36%|███▌      | 30/84 [00:24<00:57,  1.06s/it]
 37%|███▋      | 31/84 [00:25<00:57,  1.08s/it]
 38%|███▊      | 32/84 [00:26<00:57,  1.10s/it]
 39%|███▉      | 33/84 [00:27<00:57,  1.12s/it]
 40%|████      | 34/84 [00:28<00:57,  1.14s/it]
 42%|████▏     | 35/84 [00:29<00:56,  1.16s/it]
 43%|████▎     | 36/84 [00:31<00:56,  1.18s/it]
 44%|████▍     | 37/84 [00:32<00:56,  1.21s/it]
 45%|████▌     | 38/84 [00:33<00:56,  1.23s/it]
 46%|████▋     | 39/84 [00:35<00:56,  1.25s/it]
 48%|████▊     | 40/84 [00:36<00:56,  1.27s/it]
 49%|████▉     | 41/84 [00:37<00:55,  1.30s/it]
 50%|█████     | 42/84 [00:39<00:55,  1.32s/it]
 51%|█████     | 43/84 [00:40<00:54,  1.34s/it]
 52%|█████▏    | 44/84 [00:41<00:54,  1.36s/it]
 54%|█████▎    | 45/84 [00:43<00:53,  1.38s/it]
 55%|█████▍    | 46/84 [00:44<00:53,  1.40s/it]
 56%|█████▌    | 47/84 [00:46<00:52,  1.43s/it]
 57%|█████▋    | 48/84 [00:47<00:52,  1.45s/it]
 58%|█████▊    | 49/84 [00:49<00:51,  1.47s/it]
 60%|█████▉    | 50/84 [00:50<00:50,  1.49s/it]
 61%|██████    | 51/84 [00:52<00:50,  1.52s/it]
 62%|██████▏   | 52/84 [00:53<00:49,  1.54s/it]
 63%|██████▎   | 53/84 [00:55<00:48,  1.56s/it]
 64%|██████▍   | 54/84 [00:57<00:47,  1.58s/it]
 65%|██████▌   | 55/84 [00:58<00:46,  1.61s/it]
 67%|██████▋   | 56/84 [01:00<00:45,  1.63s/it]
 68%|██████▊   | 57/84 [01:02<00:44,  1.65s/it]
 69%|██████▉   | 58/84 [01:04<00:43,  1.67s/it]
 70%|███████   | 59/84 [01:05<00:42,  1.69s/it]
 71%|███████▏  | 60/84 [01:07<00:41,  1.72s/it]
 73%|███████▎  | 61/84 [01:09<00:39,  1.74s/it]
 74%|███████▍  | 62/84 [01:11<00:38,  1.76s/it]
 75%|███████▌  | 63/84 [01:12<00:37,  1.78s/it]
 76%|███████▌  | 64/84 [01:14<00:36,  1.80s/it]
 77%|███████▋  | 65/84 [01:16<00:34,  1.82s/it]
 79%|███████▊  | 66/84 [01:18<00:33,  1.85s/it]
 80%|███████▉  | 67/84 [01:20<00:31,  1.87s/it]
 81%|████████  | 68/84 [01:22<00:30,  1.89s/it]
 82%|████████▏ | 69/84 [01:24<00:28,  1.91s/it]
 83%|████████▎ | 70/84 [01:26<00:27,  1.94s/it]
 85%|████████▍ | 71/84 [01:28<00:25,  1.96s/it]
 86%|████████▌ | 72/84 [01:30<00:23,  1.98s/it]
 87%|████████▋ | 73/84 [01:32<00:22,  2.00s/it]
 88%|████████▊ | 74/84 [01:34<00:20,  2.02s/it]
 89%|████████▉ | 75/84 [01:36<00:18,  2.05s/it]
 90%|█████████ | 76/84 [01:38<00:16,  2.07s/it]
 92%|█████████▏| 77/84 [01:40<00:14,  2.09s/it]
 93%|█████████▎| 78/84 [01:43<00:12,  2.11s/it]
 94%|█████████▍| 79/84 [01:45<00:10,  2.14s/it]
 95%|█████████▌| 80/84 [01:47<00:08,  2.16s/it]
 96%|█████████▋| 81/84 [01:49<00:06,  2.18s/it]
 98%|█████████▊| 82/84 [01:51<00:04,  2.20s/it]
 99%|█████████▉| 83/84 [01:54<00:02,  2.23s/it]
100%|██████████| 84/84 [01:56<00:00,  2.25s/it]
100%|██████████| 84/84 [01:56<00:00,  1.39s/it]

  0%|          | 0/21 [00:00<?, ?it/s]
  5%|▍         | 1/21 [00:00<00:10,  1.87it/s]
 10%|▉         | 2/21 [00:01<00:10,  1.88it/s]
 14%|█▍        | 3/21 [00:01<00:09,  1.88it/s]
 19%|█▉        | 4/21 [00:02<00:09,  1.86it/s]
 24%|██▍       | 5/21 [00:02<00:08,  1.82it/s]
 29%|██▊       | 6/21 [00:03<00:08,  1.77it/s]
 33%|███▎      | 7/21 [00:03<00:08,  1.72it/s]
 38%|███▊      | 8/21 [00:04<00:07,  1.67it/s]
 43%|████▎     | 9/21 [00:05<00:07,  1.62it/s]
 48%|████▊     | 10/21 [00:05<00:06,  1.57it/s]
 52%|█████▏    | 11/21 [00:06<00:06,  1.53it/s]
 57%|█████▋    | 12/21 [00:07<00:06,  1.48it/s]
 62%|██████▏   | 13/21 [00:08<00:05,  1.44it/s]
 67%|██████▋   | 14/21 [00:08<00:05,  1.40it/s]
 71%|███████▏  | 15/21 [00:09<00:04,  1.36it/s]
 76%|███████▌  | 16/21 [00:10<00:03,  1.32it/s]
 81%|████████  | 17/21 [00:11<00:03,  1.28it/s]
 86%|████████▌ | 18/21 [00:12<00:02,  1.25it/s]
 90%|█████████ | 19/21 [00:12<00:01,  1.22it/s]
 95%|█████████▌| 20/21 [00:13<00:00,  1.18it/s]
100%|██████████| 21/21 [00:14<00:00,  1.15it/s]
100%|██████████| 21/21 [00:14<00:00,  1.42it/s]
rank=0 completed val_000_seed000 generation=116.61s decode=24.85s peak=27234342912