Upload LingBot fast chunk-size ablation
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- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/__pycache__/run_fast_chunk_case.cpython-312.pyc +0 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk01_seed6200.log +23 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk02_seed6200.log +23 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk03_seed6200.log +23 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk04_seed6200.log +23 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk06_seed6200.log +23 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk12_seed6200.log +23 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/manifest.json +53 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk01_seed6200.json +91 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk02_seed6200.json +91 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk03_seed6200.json +91 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk04_seed6200.json +91 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk06_seed6200.json +91 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk12_seed6200.json +91 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200_subtitled.ass +14 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200_subtitled.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200_subtitled.srt +8 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200_subtitled.ass +14 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200_subtitled.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200_subtitled.srt +8 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200_subtitled.ass +14 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200_subtitled.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200_subtitled.srt +8 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200_subtitled.ass +14 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200_subtitled.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200_subtitled.srt +8 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200_subtitled.ass +14 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200_subtitled.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200_subtitled.srt +8 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.ass +14 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.mp4 +3 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.srt +8 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/report.md +17 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_ablation_4gpu.sbatch +35 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_case.py +319 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.csv +7 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.json +140 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.err +0 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.out +1 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.err +0 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.out +1 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.err +0 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.out +1 -0
- fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_3.err +1 -0
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/__pycache__/run_fast_chunk_case.cpython-312.pyc
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Command: torchrun --nproc_per_node 4 --master_port 54584 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 1
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W0528 22:14:50.260000 927363 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793]
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W0528 22:14:50.260000 927363 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
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W0528 22:14:50.260000 927363 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
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W0528 22:14:50.260000 927363 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
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[2026-05-28 22:15:15,623] INFO: offload_model is not specified, set to False.
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[2026-05-28 22:15:15,671] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='examples/05/image.jpg', action_path='examples/05', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=1, save_dir='output')
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[2026-05-28 22:15:15,671] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变,色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走,镜头晃动,画面闪烁,模糊,噪点,水印,签名,文字,变形,扭曲,液化,不合逻辑的结构,卡顿,PPT幻灯片感,过暗,欠曝,低对比度,霓虹灯光感,过度锐化,3D渲染感,人物,行人,游客,身体,皮肤,肢体,面部特征,汽车,电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
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NCCL version 2.21.5+cuda12.4
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[2026-05-28 22:15:18,285] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
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[2026-05-28 22:15:18,341] INFO: Input image: examples/05/image.jpg
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[2026-05-28 22:15:18,341] INFO: Creating WanI2VFast pipeline.
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[2026-05-28 22:16:07,788] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
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[2026-05-28 22:16:24,615] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
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[2026-05-28 22:16:25,271] INFO: Creating WanModelFast from models/lingbot-world-base-cam
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[2026-05-28 22:26:55,307] INFO: Generating video ...
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[2026-05-28 22:28:12,079] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4
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[2026-05-28 22:28:14,530] INFO: Finished.
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk02_seed6200.log
ADDED
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| 1 |
+
Command: torchrun --nproc_per_node 4 --master_port 17599 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 2
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| 2 |
+
W0528 22:14:50.260000 927364 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793]
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| 3 |
+
W0528 22:14:50.260000 927364 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 4 |
+
W0528 22:14:50.260000 927364 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
|
| 5 |
+
W0528 22:14:50.260000 927364 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 6 |
+
[2026-05-28 22:15:15,623] INFO: offload_model is not specified, set to False.
|
| 7 |
+
[2026-05-28 22:15:15,671] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='examples/05/image.jpg', action_path='examples/05', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=2, save_dir='output')
|
| 8 |
+
[2026-05-28 22:15:15,671] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变,色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走,镜头晃动,画面闪烁,模糊,噪点,水印,签名,文字,变形,扭曲,液化,不合逻辑的结构,卡顿,PPT幻灯片感,过暗,欠曝,低对比度,霓虹灯光感,过度锐化,3D渲染感,人物,行人,游客,身体,皮肤,肢体,面部特征,汽车,电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
|
| 9 |
+
NCCL version 2.21.5+cuda12.4
|
| 10 |
+
[2026-05-28 22:15:18,285] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
|
| 11 |
+
[2026-05-28 22:15:18,341] INFO: Input image: examples/05/image.jpg
|
| 12 |
+
[2026-05-28 22:15:18,341] INFO: Creating WanI2VFast pipeline.
|
| 13 |
+
[2026-05-28 22:16:06,920] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
|
| 14 |
+
[2026-05-28 22:16:24,072] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
|
| 15 |
+
[2026-05-28 22:16:25,335] INFO: Creating WanModelFast from models/lingbot-world-base-cam
|
| 16 |
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[2026-05-28 22:26:57,990] INFO: Generating video ...
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[2026-05-28 22:27:58,166] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4
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[2026-05-28 22:28:00,893] INFO: Finished.
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk03_seed6200.log
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Command: torchrun --nproc_per_node 4 --master_port 37172 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 3
|
| 2 |
+
W0528 22:28:20.233000 938938 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793]
|
| 3 |
+
W0528 22:28:20.233000 938938 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 4 |
+
W0528 22:28:20.233000 938938 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
|
| 5 |
+
W0528 22:28:20.233000 938938 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 6 |
+
[2026-05-28 22:28:28,830] INFO: offload_model is not specified, set to False.
|
| 7 |
+
[2026-05-28 22:28:28,845] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='examples/05/image.jpg', action_path='examples/05', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=3, save_dir='output')
|
| 8 |
+
[2026-05-28 22:28:28,845] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变,色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走,镜头晃动,画面闪烁,模糊,噪点,水印,签名,文字,变形,扭曲,液化,不合逻辑的结构,卡顿,PPT幻灯片感,过暗,欠曝,低对比度,霓虹灯光感,过度锐化,3D渲染感,人物,行人,游客,身体,皮肤,肢体,面部特征,汽车,电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
|
| 9 |
+
NCCL version 2.21.5+cuda12.4
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+
[2026-05-28 22:28:30,330] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
|
| 11 |
+
[2026-05-28 22:28:30,340] INFO: Input image: examples/05/image.jpg
|
| 12 |
+
[2026-05-28 22:28:30,340] INFO: Creating WanI2VFast pipeline.
|
| 13 |
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[2026-05-28 22:29:18,913] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
|
| 14 |
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[2026-05-28 22:29:23,264] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
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| 15 |
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[2026-05-28 22:29:23,417] INFO: Creating WanModelFast from models/lingbot-world-base-cam
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[2026-05-28 22:30:05,128] INFO: Generating video ...
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[2026-05-28 22:30:58,348] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4
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[2026-05-28 22:31:00,772] INFO: Finished.
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk04_seed6200.log
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+
Command: torchrun --nproc_per_node 4 --master_port 37113 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 4
|
| 2 |
+
W0528 22:46:21.287000 942796 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793]
|
| 3 |
+
W0528 22:46:21.287000 942796 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 4 |
+
W0528 22:46:21.287000 942796 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
|
| 5 |
+
W0528 22:46:21.287000 942796 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 6 |
+
[2026-05-28 22:46:55,215] INFO: offload_model is not specified, set to False.
|
| 7 |
+
[2026-05-28 22:46:55,269] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='examples/05/image.jpg', action_path='examples/05', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=4, save_dir='output')
|
| 8 |
+
[2026-05-28 22:46:55,270] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变,色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走,镜头晃动,画面闪烁,模糊,噪点,水印,签名,文字,变形,扭曲,液化,不合逻辑的结构,卡顿,PPT幻灯片感,过暗,欠曝,低对比度,霓虹灯光感,过度锐化,3D渲染感,人物,行人,游客,身体,皮肤,肢体,面部特征,汽车,电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
|
| 9 |
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NCCL version 2.21.5+cuda12.4
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[2026-05-28 22:46:57,166] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
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[2026-05-28 22:46:57,251] INFO: Input image: examples/05/image.jpg
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[2026-05-28 22:46:57,251] INFO: Creating WanI2VFast pipeline.
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[2026-05-28 22:47:48,686] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
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[2026-05-28 22:48:08,625] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
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[2026-05-28 22:48:10,029] INFO: Creating WanModelFast from models/lingbot-world-base-cam
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[2026-05-28 22:58:09,406] INFO: Generating video ...
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[2026-05-28 22:59:06,451] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4
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[2026-05-28 22:59:09,381] INFO: Finished.
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk06_seed6200.log
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| 1 |
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Command: torchrun --nproc_per_node 4 --master_port 55131 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 6
|
| 2 |
+
W0528 22:29:02.368000 940843 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793]
|
| 3 |
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W0528 22:29:02.368000 940843 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 4 |
+
W0528 22:29:02.368000 940843 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
|
| 5 |
+
W0528 22:29:02.368000 940843 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 6 |
+
[2026-05-28 22:29:11,261] INFO: offload_model is not specified, set to False.
|
| 7 |
+
[2026-05-28 22:29:11,277] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='examples/05/image.jpg', action_path='examples/05', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=6, save_dir='output')
|
| 8 |
+
[2026-05-28 22:29:11,277] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变,色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走,镜头晃动,画面闪烁,模糊,噪点,水印,签名,文字,变形,扭曲,液化,不合逻辑的结构,卡顿,PPT幻灯片感,过暗,欠曝,低对比度,霓虹灯光感,过度锐化,3D渲染感,人物,行人,游客,身体,皮肤,肢体,面部特征,汽车,电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
|
| 9 |
+
NCCL version 2.21.5+cuda12.4
|
| 10 |
+
[2026-05-28 22:29:12,665] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
|
| 11 |
+
[2026-05-28 22:29:12,675] INFO: Input image: examples/05/image.jpg
|
| 12 |
+
[2026-05-28 22:29:12,675] INFO: Creating WanI2VFast pipeline.
|
| 13 |
+
[2026-05-28 22:30:01,978] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
|
| 14 |
+
[2026-05-28 22:30:08,358] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
|
| 15 |
+
[2026-05-28 22:30:08,554] INFO: Creating WanModelFast from models/lingbot-world-base-cam
|
| 16 |
+
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| 17 |
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[2026-05-28 22:30:46,208] INFO: Generating video ...
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[2026-05-28 22:31:35,811] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4
|
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[2026-05-28 22:31:38,179] INFO: Finished.
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk12_seed6200.log
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Command: torchrun --nproc_per_node 4 --master_port 21357 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 12
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| 2 |
+
W0528 22:31:18.606000 944637 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793]
|
| 3 |
+
W0528 22:31:18.606000 944637 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 4 |
+
W0528 22:31:18.606000 944637 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
|
| 5 |
+
W0528 22:31:18.606000 944637 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
|
| 6 |
+
[2026-05-28 22:31:27,278] INFO: offload_model is not specified, set to False.
|
| 7 |
+
[2026-05-28 22:31:27,297] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='examples/05/image.jpg', action_path='examples/05', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=12, save_dir='output')
|
| 8 |
+
[2026-05-28 22:31:27,298] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变,色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走,镜头晃动,画面闪烁,模糊,噪点,水印,签名,文字,变形,扭曲,液化,不合逻辑的结构,卡顿,PPT幻灯片感,过暗,欠曝,低对比度,霓虹灯光感,过度锐化,3D渲染感,人物,行人,游客,身体,皮肤,肢体,面部特征,汽车,电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
|
| 9 |
+
NCCL version 2.21.5+cuda12.4
|
| 10 |
+
[2026-05-28 22:31:28,787] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
|
| 11 |
+
[2026-05-28 22:31:28,798] INFO: Input image: examples/05/image.jpg
|
| 12 |
+
[2026-05-28 22:31:28,798] INFO: Creating WanI2VFast pipeline.
|
| 13 |
+
[2026-05-28 22:32:19,468] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
|
| 14 |
+
[2026-05-28 22:32:37,734] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
|
| 15 |
+
[2026-05-28 22:32:37,918] INFO: Creating WanModelFast from models/lingbot-world-base-cam
|
| 16 |
+
|
| 17 |
+
[2026-05-28 22:33:21,545] INFO: Generating video ...
|
| 18 |
+
|
| 19 |
0%| | 0/3 [00:00<?, ?it/s]
|
| 20 |
0%| | 0/3 [00:00<?, ?it/s]
|
| 21 |
0%| | 0/3 [00:00<?, ?it/s]
|
| 22 |
0%| | 0/3 [00:00<?, ?it/s]
|
| 23 |
33%|███▎ | 1/3 [00:09<00:18, 9.47s/it]
|
| 24 |
33%|███▎ | 1/3 [00:09<00:19, 9.53s/it]
|
| 25 |
33%|███▎ | 1/3 [00:09<00:19, 9.53s/it]
|
| 26 |
33%|███▎ | 1/3 [00:09<00:18, 9.45s/it]
|
| 27 |
67%|██████▋ | 2/3 [00:19<00:10, 10.07s/it]
|
| 28 |
67%|██████▋ | 2/3 [00:19<00:10, 10.07s/it]
|
| 29 |
67%|██████▋ | 2/3 [00:19<00:10, 10.04s/it]
|
| 30 |
67%|██████▋ | 2/3 [00:19<00:10, 10.04s/it]
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
[2026-05-28 22:34:10,362] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4
|
| 35 |
+
[2026-05-28 22:34:12,758] INFO: Finished.
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/manifest.json
ADDED
|
@@ -0,0 +1,53 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"description": "Same-prompt LingBot fast inference ablation over latent-frame chunk_size.",
|
| 3 |
+
"input_source": "repo_example_05",
|
| 4 |
+
"image": "examples/05/image.jpg",
|
| 5 |
+
"action_path": "examples/05",
|
| 6 |
+
"prompt_en": "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
|
| 7 |
+
"prompt_zh": "第一人称电影镜头飞越茂密的幻想丛林,前景中蓝色双手握着震动的皮革缰绳,前方古老哥特城堡逐渐清晰,背景有漂浮岛屿和远处瀑布。",
|
| 8 |
+
"fps": 16,
|
| 9 |
+
"frame_num": 141,
|
| 10 |
+
"effective_duration_seconds": 8.8125,
|
| 11 |
+
"seed": 6200,
|
| 12 |
+
"size": "480*832",
|
| 13 |
+
"nproc_per_node": 4,
|
| 14 |
+
"chunk_sizes": [1, 2, 3, 4, 6, 12],
|
| 15 |
+
"cases": [
|
| 16 |
+
{
|
| 17 |
+
"case_id": "example05_chunk01_seed6200",
|
| 18 |
+
"chunk_size": 1,
|
| 19 |
+
"chunk_frame_span": 4,
|
| 20 |
+
"chunk_seconds": 0.25
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"case_id": "example05_chunk02_seed6200",
|
| 24 |
+
"chunk_size": 2,
|
| 25 |
+
"chunk_frame_span": 8,
|
| 26 |
+
"chunk_seconds": 0.5
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"case_id": "example05_chunk03_seed6200",
|
| 30 |
+
"chunk_size": 3,
|
| 31 |
+
"chunk_frame_span": 12,
|
| 32 |
+
"chunk_seconds": 0.75
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"case_id": "example05_chunk04_seed6200",
|
| 36 |
+
"chunk_size": 4,
|
| 37 |
+
"chunk_frame_span": 16,
|
| 38 |
+
"chunk_seconds": 1.0
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"case_id": "example05_chunk06_seed6200",
|
| 42 |
+
"chunk_size": 6,
|
| 43 |
+
"chunk_frame_span": 24,
|
| 44 |
+
"chunk_seconds": 1.5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"case_id": "example05_chunk12_seed6200",
|
| 48 |
+
"chunk_size": 12,
|
| 49 |
+
"chunk_frame_span": 48,
|
| 50 |
+
"chunk_seconds": 3.0
|
| 51 |
+
}
|
| 52 |
+
]
|
| 53 |
+
}
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk01_seed6200.json
ADDED
|
@@ -0,0 +1,91 @@
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"case": {
|
| 3 |
+
"case_id": "example05_chunk01_seed6200",
|
| 4 |
+
"chunk_size": 1,
|
| 5 |
+
"chunk_frame_span": 4,
|
| 6 |
+
"chunk_seconds": 0.25
|
| 7 |
+
},
|
| 8 |
+
"manifest_settings": {
|
| 9 |
+
"image": "examples/05/image.jpg",
|
| 10 |
+
"action_path": "examples/05",
|
| 11 |
+
"prompt_en": "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
|
| 12 |
+
"prompt_zh": "第一人称电影镜头飞越茂密的幻想丛林,前景中蓝色双手握着震动的皮革缰绳,前方古老哥特城堡逐渐清晰,背景有漂浮岛屿和远处瀑布。",
|
| 13 |
+
"fps": 16,
|
| 14 |
+
"frame_num": 141,
|
| 15 |
+
"effective_duration_seconds": 8.8125,
|
| 16 |
+
"seed": 6200,
|
| 17 |
+
"size": "480*832"
|
| 18 |
+
},
|
| 19 |
+
"command": [
|
| 20 |
+
"torchrun",
|
| 21 |
+
"--nproc_per_node",
|
| 22 |
+
"4",
|
| 23 |
+
"--master_port",
|
| 24 |
+
"54584",
|
| 25 |
+
"generate_fast.py",
|
| 26 |
+
"--task",
|
| 27 |
+
"i2v-A14B",
|
| 28 |
+
"--size",
|
| 29 |
+
"480*832",
|
| 30 |
+
"--ckpt_dir",
|
| 31 |
+
"models/lingbot-world-base-cam",
|
| 32 |
+
"--image",
|
| 33 |
+
"examples/05/image.jpg",
|
| 34 |
+
"--action_path",
|
| 35 |
+
"examples/05",
|
| 36 |
+
"--dit_fsdp",
|
| 37 |
+
"--t5_fsdp",
|
| 38 |
+
"--ulysses_size",
|
| 39 |
+
"4",
|
| 40 |
+
"--frame_num",
|
| 41 |
+
"141",
|
| 42 |
+
"--base_seed",
|
| 43 |
+
"6200",
|
| 44 |
+
"--save_file",
|
| 45 |
+
"experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
|
| 46 |
+
"--prompt",
|
| 47 |
+
"A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
|
| 48 |
+
"--chunk_size",
|
| 49 |
+
"1"
|
| 50 |
+
],
|
| 51 |
+
"status": "ok",
|
| 52 |
+
"returncode": 0,
|
| 53 |
+
"start_time_unix": 1780031674.5294175,
|
| 54 |
+
"end_time_unix": 1780032497.1330109,
|
| 55 |
+
"wall_time_seconds": 822.6035933494568,
|
| 56 |
+
"output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
|
| 57 |
+
"output_exists": true,
|
| 58 |
+
"output_size_bytes": 12860969,
|
| 59 |
+
"summary": {
|
| 60 |
+
"case_id": "example05_chunk01_seed6200",
|
| 61 |
+
"chunk_size": 1,
|
| 62 |
+
"chunk_frame_span": 4,
|
| 63 |
+
"chunk_seconds": 0.25,
|
| 64 |
+
"frame_num": 141,
|
| 65 |
+
"fps": 16,
|
| 66 |
+
"effective_duration_seconds": 8.8125,
|
| 67 |
+
"seed": 6200,
|
| 68 |
+
"status": "ok",
|
| 69 |
+
"returncode": 0,
|
| 70 |
+
"wall_time_seconds": 822.604,
|
| 71 |
+
"output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
|
| 72 |
+
"output_exists": true,
|
| 73 |
+
"output_size_bytes": 12860969,
|
| 74 |
+
"log_file": "experiments/fast_chunk_ablation_20260528/logs/example05_chunk01_seed6200.log",
|
| 75 |
+
"metrics_file": "experiments/fast_chunk_ablation_20260528/metrics/example05_chunk01_seed6200.json",
|
| 76 |
+
"nproc_per_node": 4
|
| 77 |
+
},
|
| 78 |
+
"gpu": {
|
| 79 |
+
"peak_total_memory_used_mib": 142300,
|
| 80 |
+
"peak_single_gpu_memory_used_mib": 42025,
|
| 81 |
+
"peak_by_gpu_mib": {
|
| 82 |
+
"0": 42025,
|
| 83 |
+
"1": 33347,
|
| 84 |
+
"2": 33543,
|
| 85 |
+
"3": 33385
|
| 86 |
+
},
|
| 87 |
+
"mean_gpu_utilization_percent": 9.234,
|
| 88 |
+
"mean_nonzero_gpu_count": 0.399
|
| 89 |
+
},
|
| 90 |
+
"gpu_sample_count": 706
|
| 91 |
+
}
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk02_seed6200.json
ADDED
|
@@ -0,0 +1,91 @@
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|
| 1 |
+
{
|
| 2 |
+
"case": {
|
| 3 |
+
"case_id": "example05_chunk02_seed6200",
|
| 4 |
+
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"command": [
|
| 20 |
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"torchrun",
|
| 21 |
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"--nproc_per_node",
|
| 22 |
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|
| 23 |
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"--master_port",
|
| 24 |
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"17599",
|
| 25 |
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|
| 26 |
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|
| 27 |
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"i2v-A14B",
|
| 28 |
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|
| 29 |
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"480*832",
|
| 30 |
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|
| 31 |
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"models/lingbot-world-base-cam",
|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"4",
|
| 40 |
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|
| 41 |
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| 42 |
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|
| 43 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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| 48 |
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|
| 49 |
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|
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| 91 |
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk03_seed6200.json
ADDED
|
@@ -0,0 +1,91 @@
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|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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|
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| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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"torchrun",
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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| 33 |
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| 34 |
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| 36 |
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|
| 46 |
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| 48 |
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk04_seed6200.json
ADDED
|
@@ -0,0 +1,91 @@
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|
|
|
|
|
| 1 |
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{
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| 9 |
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| 10 |
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| 12 |
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| 18 |
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| 24 |
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk06_seed6200.json
ADDED
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|
| 1 |
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk12_seed6200.json
ADDED
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| 12 |
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第一人称电影镜头飞越茂密的幻想丛林,前景中蓝色双手握着震动的皮
|
| 4 |
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|
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4
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ADDED
|
@@ -0,0 +1,17 @@
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| 1 |
+
# LingBot Fast Chunk Size Ablation
|
| 2 |
+
|
| 3 |
+
- Prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
|
| 4 |
+
- Image: `examples/05/image.jpg`
|
| 5 |
+
- Camera/action path: `examples/05`
|
| 6 |
+
- Seed: `6200`
|
| 7 |
+
- Frame num / FPS: `141` / `16`
|
| 8 |
+
- Effective duration: `8.8125` seconds
|
| 9 |
+
|
| 10 |
+
| chunk_size | chunk seconds | status | wall time s | peak single GPU MiB | mean GPU util % | output |
|
| 11 |
+
| ---: | ---: | --- | ---: | ---: | ---: | --- |
|
| 12 |
+
| 1 | 0.25 | ok | 822.6 | 42025 | 9.234 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4` |
|
| 13 |
+
| 2 | 0.5 | ok | 809.0 | 42021 | 7.697 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4` |
|
| 14 |
+
| 3 | 0.75 | ok | 164.4 | 41973 | 37.346 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4` |
|
| 15 |
+
| 4 | 1.0 | ok | 795.6 | 42039 | 7.076 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4` |
|
| 16 |
+
| 6 | 1.5 | ok | 159.6 | 42059 | 36.496 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4` |
|
| 17 |
+
| 12 | 3.0 | ok | 178.0 | 42627 | 31.639 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4` |
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_ablation_4gpu.sbatch
ADDED
|
@@ -0,0 +1,35 @@
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|
| 1 |
+
#!/bin/bash
|
| 2 |
+
#SBATCH -A nvr_elm_llm
|
| 3 |
+
#SBATCH -p batch_block1,batch_block2,batch_block3,batch_block4
|
| 4 |
+
#SBATCH -t 04:00:00
|
| 5 |
+
#SBATCH -N 1
|
| 6 |
+
#SBATCH --gpus-per-node=4
|
| 7 |
+
#SBATCH -J nvr_elm_llm:fast-chunk-ablation
|
| 8 |
+
#SBATCH --array=0-5%2
|
| 9 |
+
#SBATCH -o experiments/fast_chunk_ablation_20260528/slurm/%x_%A_%a.out
|
| 10 |
+
#SBATCH -e experiments/fast_chunk_ablation_20260528/slurm/%x_%A_%a.err
|
| 11 |
+
|
| 12 |
+
set -euo pipefail
|
| 13 |
+
|
| 14 |
+
REPO_ROOT="/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/lingbot"
|
| 15 |
+
CONDA_SH="/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/etc/profile.d/conda.sh"
|
| 16 |
+
LOCAL_ROOT="${LOCAL_ROOT:-experiments/fast_chunk_ablation_20260528}"
|
| 17 |
+
NPROC="${NPROC_PER_NODE:-4}"
|
| 18 |
+
MASTER_PORT=$((20000 + (SLURM_ARRAY_JOB_ID % 20000) + SLURM_ARRAY_TASK_ID * 100))
|
| 19 |
+
|
| 20 |
+
cd "${REPO_ROOT}"
|
| 21 |
+
mkdir -p "${LOCAL_ROOT}/slurm"
|
| 22 |
+
source "${CONDA_SH}"
|
| 23 |
+
conda activate lingbot_world_repro
|
| 24 |
+
|
| 25 |
+
python "${LOCAL_ROOT}/run_fast_chunk_case.py" \
|
| 26 |
+
--manifest "${LOCAL_ROOT}/manifest.json" \
|
| 27 |
+
--case-index "${SLURM_ARRAY_TASK_ID}" \
|
| 28 |
+
--output-root "${LOCAL_ROOT}/outputs" \
|
| 29 |
+
--metrics-dir "${LOCAL_ROOT}/metrics" \
|
| 30 |
+
--log-dir "${LOCAL_ROOT}/logs" \
|
| 31 |
+
--ckpt-dir models/lingbot-world-base-cam \
|
| 32 |
+
--nproc-per-node "${NPROC}" \
|
| 33 |
+
--master-port "${MASTER_PORT}" \
|
| 34 |
+
--monitor-interval "${MONITOR_INTERVAL:-1.0}" \
|
| 35 |
+
--resume
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_case.py
ADDED
|
@@ -0,0 +1,319 @@
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|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
from __future__ import annotations
|
| 3 |
+
|
| 4 |
+
import argparse
|
| 5 |
+
import csv
|
| 6 |
+
import json
|
| 7 |
+
import os
|
| 8 |
+
import shlex
|
| 9 |
+
import subprocess
|
| 10 |
+
import sys
|
| 11 |
+
import threading
|
| 12 |
+
import time
|
| 13 |
+
from pathlib import Path
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
OOM_MARKERS = [
|
| 17 |
+
"CUDA out of memory",
|
| 18 |
+
"torch.OutOfMemoryError",
|
| 19 |
+
"out of memory",
|
| 20 |
+
"CUBLAS_STATUS_ALLOC_FAILED",
|
| 21 |
+
]
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
def load_manifest(path: Path) -> dict:
|
| 25 |
+
return json.loads(path.read_text(encoding="utf-8"))
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
def query_gpu():
|
| 29 |
+
cmd = [
|
| 30 |
+
"nvidia-smi",
|
| 31 |
+
"--query-gpu=index,utilization.gpu,memory.used",
|
| 32 |
+
"--format=csv,noheader,nounits",
|
| 33 |
+
]
|
| 34 |
+
try:
|
| 35 |
+
result = subprocess.run(
|
| 36 |
+
cmd,
|
| 37 |
+
check=True,
|
| 38 |
+
text=True,
|
| 39 |
+
stdout=subprocess.PIPE,
|
| 40 |
+
stderr=subprocess.PIPE,
|
| 41 |
+
)
|
| 42 |
+
except (FileNotFoundError, subprocess.CalledProcessError):
|
| 43 |
+
return []
|
| 44 |
+
|
| 45 |
+
rows = []
|
| 46 |
+
for line in result.stdout.splitlines():
|
| 47 |
+
parts = [part.strip() for part in line.split(",")]
|
| 48 |
+
if len(parts) != 3:
|
| 49 |
+
continue
|
| 50 |
+
try:
|
| 51 |
+
rows.append(
|
| 52 |
+
{
|
| 53 |
+
"index": int(parts[0]),
|
| 54 |
+
"utilization_gpu_percent": int(parts[1]),
|
| 55 |
+
"memory_used_mib": int(parts[2]),
|
| 56 |
+
}
|
| 57 |
+
)
|
| 58 |
+
except ValueError:
|
| 59 |
+
continue
|
| 60 |
+
return rows
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
def monitor_gpu(stop_event: threading.Event, samples: list[dict], interval: float) -> None:
|
| 64 |
+
while not stop_event.is_set():
|
| 65 |
+
readings = query_gpu()
|
| 66 |
+
if readings:
|
| 67 |
+
samples.append({"time": time.time(), "gpus": readings})
|
| 68 |
+
stop_event.wait(interval)
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
def summarize_gpu(samples: list[dict]) -> dict:
|
| 72 |
+
if not samples:
|
| 73 |
+
return {
|
| 74 |
+
"peak_total_memory_used_mib": None,
|
| 75 |
+
"peak_single_gpu_memory_used_mib": None,
|
| 76 |
+
"peak_by_gpu_mib": {},
|
| 77 |
+
"mean_gpu_utilization_percent": None,
|
| 78 |
+
"mean_nonzero_gpu_count": None,
|
| 79 |
+
}
|
| 80 |
+
|
| 81 |
+
peak_total = 0
|
| 82 |
+
peak_single = 0
|
| 83 |
+
peak_by_gpu: dict[str, int] = {}
|
| 84 |
+
util_values = []
|
| 85 |
+
nonzero_counts = []
|
| 86 |
+
for sample in samples:
|
| 87 |
+
total = 0
|
| 88 |
+
nonzero = 0
|
| 89 |
+
for gpu in sample["gpus"]:
|
| 90 |
+
idx = str(gpu["index"])
|
| 91 |
+
used = gpu["memory_used_mib"]
|
| 92 |
+
util = gpu["utilization_gpu_percent"]
|
| 93 |
+
total += used
|
| 94 |
+
peak_single = max(peak_single, used)
|
| 95 |
+
peak_by_gpu[idx] = max(peak_by_gpu.get(idx, 0), used)
|
| 96 |
+
util_values.append(util)
|
| 97 |
+
if util > 0:
|
| 98 |
+
nonzero += 1
|
| 99 |
+
nonzero_counts.append(nonzero)
|
| 100 |
+
peak_total = max(peak_total, total)
|
| 101 |
+
return {
|
| 102 |
+
"peak_total_memory_used_mib": peak_total,
|
| 103 |
+
"peak_single_gpu_memory_used_mib": peak_single,
|
| 104 |
+
"peak_by_gpu_mib": peak_by_gpu,
|
| 105 |
+
"mean_gpu_utilization_percent": round(sum(util_values) / len(util_values), 3)
|
| 106 |
+
if util_values
|
| 107 |
+
else None,
|
| 108 |
+
"mean_nonzero_gpu_count": round(sum(nonzero_counts) / len(nonzero_counts), 3)
|
| 109 |
+
if nonzero_counts
|
| 110 |
+
else None,
|
| 111 |
+
}
|
| 112 |
+
|
| 113 |
+
|
| 114 |
+
def detect_oom(log_file: Path) -> bool:
|
| 115 |
+
if not log_file.exists():
|
| 116 |
+
return False
|
| 117 |
+
text = log_file.read_text(encoding="utf-8", errors="ignore")
|
| 118 |
+
return any(marker in text for marker in OOM_MARKERS)
|
| 119 |
+
|
| 120 |
+
|
| 121 |
+
def build_command(args: argparse.Namespace, manifest: dict, case: dict, output_file: Path) -> list[str]:
|
| 122 |
+
return [
|
| 123 |
+
"torchrun",
|
| 124 |
+
"--nproc_per_node",
|
| 125 |
+
str(args.nproc_per_node),
|
| 126 |
+
"--master_port",
|
| 127 |
+
str(args.master_port),
|
| 128 |
+
"generate_fast.py",
|
| 129 |
+
"--task",
|
| 130 |
+
"i2v-A14B",
|
| 131 |
+
"--size",
|
| 132 |
+
manifest["size"],
|
| 133 |
+
"--ckpt_dir",
|
| 134 |
+
args.ckpt_dir,
|
| 135 |
+
"--image",
|
| 136 |
+
manifest["image"],
|
| 137 |
+
"--action_path",
|
| 138 |
+
manifest["action_path"],
|
| 139 |
+
"--dit_fsdp",
|
| 140 |
+
"--t5_fsdp",
|
| 141 |
+
"--ulysses_size",
|
| 142 |
+
str(args.nproc_per_node),
|
| 143 |
+
"--frame_num",
|
| 144 |
+
str(manifest["frame_num"]),
|
| 145 |
+
"--base_seed",
|
| 146 |
+
str(manifest["seed"]),
|
| 147 |
+
"--save_file",
|
| 148 |
+
str(output_file),
|
| 149 |
+
"--prompt",
|
| 150 |
+
manifest["prompt_en"],
|
| 151 |
+
"--chunk_size",
|
| 152 |
+
str(case["chunk_size"]),
|
| 153 |
+
]
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
def write_summary_csv(path: Path, rows: list[dict]) -> None:
|
| 157 |
+
if not rows:
|
| 158 |
+
return
|
| 159 |
+
path.parent.mkdir(parents=True, exist_ok=True)
|
| 160 |
+
fieldnames = list(rows[0].keys())
|
| 161 |
+
with path.open("w", encoding="utf-8", newline="") as handle:
|
| 162 |
+
writer = csv.DictWriter(handle, fieldnames=fieldnames)
|
| 163 |
+
writer.writeheader()
|
| 164 |
+
writer.writerows(rows)
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
def main() -> int:
|
| 168 |
+
parser = argparse.ArgumentParser()
|
| 169 |
+
parser.add_argument("--manifest", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/manifest.json"))
|
| 170 |
+
parser.add_argument("--case-index", type=int, default=None)
|
| 171 |
+
parser.add_argument("--case-id", default=None)
|
| 172 |
+
parser.add_argument("--ckpt-dir", default="models/lingbot-world-base-cam")
|
| 173 |
+
parser.add_argument("--output-root", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/outputs"))
|
| 174 |
+
parser.add_argument("--metrics-dir", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/metrics"))
|
| 175 |
+
parser.add_argument("--log-dir", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/logs"))
|
| 176 |
+
parser.add_argument("--nproc-per-node", type=int, default=4)
|
| 177 |
+
parser.add_argument("--master-port", type=int, default=None)
|
| 178 |
+
parser.add_argument("--monitor-interval", type=float, default=1.0)
|
| 179 |
+
parser.add_argument("--resume", action="store_true", default=False)
|
| 180 |
+
args = parser.parse_args()
|
| 181 |
+
|
| 182 |
+
if args.master_port is None:
|
| 183 |
+
job_id = int(os.environ.get("SLURM_JOB_ID", os.getpid()))
|
| 184 |
+
task_id = int(os.environ.get("SLURM_ARRAY_TASK_ID", "0"))
|
| 185 |
+
args.master_port = 17000 + ((job_id * 97 + task_id * 7919 + os.getpid()) % 45000)
|
| 186 |
+
|
| 187 |
+
manifest = load_manifest(args.manifest)
|
| 188 |
+
cases = manifest["cases"]
|
| 189 |
+
if args.case_index is not None:
|
| 190 |
+
case = cases[args.case_index]
|
| 191 |
+
else:
|
| 192 |
+
matches = [item for item in cases if item["case_id"] == args.case_id]
|
| 193 |
+
if len(matches) != 1:
|
| 194 |
+
raise SystemExit(f"Expected one matching case, found {len(matches)}")
|
| 195 |
+
case = matches[0]
|
| 196 |
+
|
| 197 |
+
output_dir = args.output_root / f"chunk_size_{case['chunk_size']:02d}"
|
| 198 |
+
output_dir.mkdir(parents=True, exist_ok=True)
|
| 199 |
+
args.metrics_dir.mkdir(parents=True, exist_ok=True)
|
| 200 |
+
args.log_dir.mkdir(parents=True, exist_ok=True)
|
| 201 |
+
output_file = output_dir / f"fast_chunk_ablation_{case['case_id']}.mp4"
|
| 202 |
+
metrics_file = args.metrics_dir / f"{case['case_id']}.json"
|
| 203 |
+
log_file = args.log_dir / f"{case['case_id']}.log"
|
| 204 |
+
|
| 205 |
+
if args.resume and metrics_file.exists() and output_file.exists():
|
| 206 |
+
old = json.loads(metrics_file.read_text(encoding="utf-8"))
|
| 207 |
+
if old.get("status") == "ok" and old.get("output_exists"):
|
| 208 |
+
print(f"Case already completed: {output_file}")
|
| 209 |
+
return 0
|
| 210 |
+
|
| 211 |
+
cmd = build_command(args, manifest, case, output_file)
|
| 212 |
+
env = os.environ.copy()
|
| 213 |
+
env.setdefault("PYTHONUNBUFFERED", "1")
|
| 214 |
+
env.setdefault("TOKENIZERS_PARALLELISM", "false")
|
| 215 |
+
env.setdefault("NCCL_DEBUG", "WARN")
|
| 216 |
+
|
| 217 |
+
samples: list[dict] = []
|
| 218 |
+
stop_event = threading.Event()
|
| 219 |
+
monitor = threading.Thread(
|
| 220 |
+
target=monitor_gpu,
|
| 221 |
+
args=(stop_event, samples, args.monitor_interval),
|
| 222 |
+
daemon=True,
|
| 223 |
+
)
|
| 224 |
+
|
| 225 |
+
start = time.time()
|
| 226 |
+
monitor.start()
|
| 227 |
+
with log_file.open("w", encoding="utf-8") as log:
|
| 228 |
+
log.write("Command: " + " ".join(shlex.quote(part) for part in cmd) + "\n")
|
| 229 |
+
log.flush()
|
| 230 |
+
proc = subprocess.run(
|
| 231 |
+
cmd,
|
| 232 |
+
cwd=Path.cwd(),
|
| 233 |
+
env=env,
|
| 234 |
+
stdout=log,
|
| 235 |
+
stderr=subprocess.STDOUT,
|
| 236 |
+
text=True,
|
| 237 |
+
)
|
| 238 |
+
stop_event.set()
|
| 239 |
+
monitor.join(timeout=5)
|
| 240 |
+
end = time.time()
|
| 241 |
+
|
| 242 |
+
output_exists = output_file.exists()
|
| 243 |
+
status = "ok" if proc.returncode == 0 and output_exists else "failed"
|
| 244 |
+
if status == "failed" and detect_oom(log_file):
|
| 245 |
+
status = "oom"
|
| 246 |
+
summary = {
|
| 247 |
+
"case_id": case["case_id"],
|
| 248 |
+
"chunk_size": case["chunk_size"],
|
| 249 |
+
"chunk_frame_span": case["chunk_frame_span"],
|
| 250 |
+
"chunk_seconds": case["chunk_seconds"],
|
| 251 |
+
"frame_num": manifest["frame_num"],
|
| 252 |
+
"fps": manifest["fps"],
|
| 253 |
+
"effective_duration_seconds": manifest["effective_duration_seconds"],
|
| 254 |
+
"seed": manifest["seed"],
|
| 255 |
+
"status": status,
|
| 256 |
+
"returncode": proc.returncode,
|
| 257 |
+
"wall_time_seconds": round(end - start, 3),
|
| 258 |
+
"output_file": str(output_file),
|
| 259 |
+
"output_exists": output_exists,
|
| 260 |
+
"output_size_bytes": output_file.stat().st_size if output_exists else 0,
|
| 261 |
+
"log_file": str(log_file),
|
| 262 |
+
"metrics_file": str(metrics_file),
|
| 263 |
+
"nproc_per_node": args.nproc_per_node,
|
| 264 |
+
}
|
| 265 |
+
metrics = {
|
| 266 |
+
"case": case,
|
| 267 |
+
"manifest_settings": {
|
| 268 |
+
key: manifest[key]
|
| 269 |
+
for key in [
|
| 270 |
+
"image",
|
| 271 |
+
"action_path",
|
| 272 |
+
"prompt_en",
|
| 273 |
+
"prompt_zh",
|
| 274 |
+
"fps",
|
| 275 |
+
"frame_num",
|
| 276 |
+
"effective_duration_seconds",
|
| 277 |
+
"seed",
|
| 278 |
+
"size",
|
| 279 |
+
]
|
| 280 |
+
},
|
| 281 |
+
"command": cmd,
|
| 282 |
+
"status": status,
|
| 283 |
+
"returncode": proc.returncode,
|
| 284 |
+
"start_time_unix": start,
|
| 285 |
+
"end_time_unix": end,
|
| 286 |
+
"wall_time_seconds": end - start,
|
| 287 |
+
"output_file": str(output_file),
|
| 288 |
+
"output_exists": output_exists,
|
| 289 |
+
"output_size_bytes": output_file.stat().st_size if output_exists else 0,
|
| 290 |
+
"summary": summary,
|
| 291 |
+
"gpu": summarize_gpu(samples),
|
| 292 |
+
"gpu_sample_count": len(samples),
|
| 293 |
+
}
|
| 294 |
+
metrics_file.write_text(json.dumps(metrics, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
|
| 295 |
+
|
| 296 |
+
rows = []
|
| 297 |
+
for path in sorted(args.metrics_dir.glob("*.json")):
|
| 298 |
+
try:
|
| 299 |
+
data = json.loads(path.read_text(encoding="utf-8"))
|
| 300 |
+
except Exception:
|
| 301 |
+
continue
|
| 302 |
+
row = dict(data.get("summary", {}))
|
| 303 |
+
gpu = data.get("gpu", {})
|
| 304 |
+
row["peak_single_gpu_memory_used_mib"] = gpu.get("peak_single_gpu_memory_used_mib")
|
| 305 |
+
row["peak_total_memory_used_mib"] = gpu.get("peak_total_memory_used_mib")
|
| 306 |
+
row["mean_gpu_utilization_percent"] = gpu.get("mean_gpu_utilization_percent")
|
| 307 |
+
row["mean_nonzero_gpu_count"] = gpu.get("mean_nonzero_gpu_count")
|
| 308 |
+
rows.append(row)
|
| 309 |
+
write_summary_csv(args.manifest.parent / "run_manifest.csv", rows)
|
| 310 |
+
|
| 311 |
+
if status != "ok":
|
| 312 |
+
print(f"Case {status}; see {log_file}", file=sys.stderr)
|
| 313 |
+
return proc.returncode if proc.returncode != 0 else 1
|
| 314 |
+
print(f"Case completed: {output_file}")
|
| 315 |
+
return 0
|
| 316 |
+
|
| 317 |
+
|
| 318 |
+
if __name__ == "__main__":
|
| 319 |
+
raise SystemExit(main())
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.csv
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
case_id,chunk_size,chunk_frame_span,chunk_seconds,frame_num,fps,effective_duration_seconds,seed,status,returncode,wall_time_seconds,peak_single_gpu_memory_used_mib,peak_total_memory_used_mib,mean_gpu_utilization_percent,mean_nonzero_gpu_count,output_file,output_size_bytes,nproc_per_node
|
| 2 |
+
example05_chunk01_seed6200,1,4,0.25,141,16,8.8125,6200,ok,0,822.604,42025,142300,9.234,0.399,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4,12860969,4
|
| 3 |
+
example05_chunk02_seed6200,2,8,0.5,141,16,8.8125,6200,ok,0,808.982,42021,141858,7.697,0.356,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4,12947094,4
|
| 4 |
+
example05_chunk03_seed6200,3,12,0.75,141,16,8.8125,6200,ok,0,164.363,41973,143526,37.346,1.702,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4,14589858,4
|
| 5 |
+
example05_chunk04_seed6200,4,16,1.0,141,16,8.8125,6200,ok,0,795.557,42039,144140,7.076,0.323,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4,15530802,4
|
| 6 |
+
example05_chunk06_seed6200,6,24,1.5,141,16,8.8125,6200,ok,0,159.64,42059,145216,36.496,1.562,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4,12875361,4
|
| 7 |
+
example05_chunk12_seed6200,12,48,3.0,141,16,8.8125,6200,ok,0,178.042,42627,151852,31.639,1.405,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4,13578543,4
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.json
ADDED
|
@@ -0,0 +1,140 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"case_id": "example05_chunk01_seed6200",
|
| 4 |
+
"chunk_size": 1,
|
| 5 |
+
"chunk_frame_span": 4,
|
| 6 |
+
"chunk_seconds": 0.25,
|
| 7 |
+
"frame_num": 141,
|
| 8 |
+
"fps": 16,
|
| 9 |
+
"effective_duration_seconds": 8.8125,
|
| 10 |
+
"seed": 6200,
|
| 11 |
+
"status": "ok",
|
| 12 |
+
"returncode": 0,
|
| 13 |
+
"wall_time_seconds": 822.604,
|
| 14 |
+
"output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
|
| 15 |
+
"output_exists": true,
|
| 16 |
+
"output_size_bytes": 12860969,
|
| 17 |
+
"log_file": "experiments/fast_chunk_ablation_20260528/logs/example05_chunk01_seed6200.log",
|
| 18 |
+
"metrics_file": "experiments/fast_chunk_ablation_20260528/metrics/example05_chunk01_seed6200.json",
|
| 19 |
+
"nproc_per_node": 4,
|
| 20 |
+
"peak_single_gpu_memory_used_mib": 42025,
|
| 21 |
+
"peak_total_memory_used_mib": 142300,
|
| 22 |
+
"mean_gpu_utilization_percent": 9.234,
|
| 23 |
+
"mean_nonzero_gpu_count": 0.399
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"case_id": "example05_chunk02_seed6200",
|
| 27 |
+
"chunk_size": 2,
|
| 28 |
+
"chunk_frame_span": 8,
|
| 29 |
+
"chunk_seconds": 0.5,
|
| 30 |
+
"frame_num": 141,
|
| 31 |
+
"fps": 16,
|
| 32 |
+
"effective_duration_seconds": 8.8125,
|
| 33 |
+
"seed": 6200,
|
| 34 |
+
"status": "ok",
|
| 35 |
+
"returncode": 0,
|
| 36 |
+
"wall_time_seconds": 808.982,
|
| 37 |
+
"output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4",
|
| 38 |
+
"output_exists": true,
|
| 39 |
+
"output_size_bytes": 12947094,
|
| 40 |
+
"log_file": "experiments/fast_chunk_ablation_20260528/logs/example05_chunk02_seed6200.log",
|
| 41 |
+
"metrics_file": "experiments/fast_chunk_ablation_20260528/metrics/example05_chunk02_seed6200.json",
|
| 42 |
+
"nproc_per_node": 4,
|
| 43 |
+
"peak_single_gpu_memory_used_mib": 42021,
|
| 44 |
+
"peak_total_memory_used_mib": 141858,
|
| 45 |
+
"mean_gpu_utilization_percent": 7.697,
|
| 46 |
+
"mean_nonzero_gpu_count": 0.356
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"case_id": "example05_chunk03_seed6200",
|
| 50 |
+
"chunk_size": 3,
|
| 51 |
+
"chunk_frame_span": 12,
|
| 52 |
+
"chunk_seconds": 0.75,
|
| 53 |
+
"frame_num": 141,
|
| 54 |
+
"fps": 16,
|
| 55 |
+
"effective_duration_seconds": 8.8125,
|
| 56 |
+
"seed": 6200,
|
| 57 |
+
"status": "ok",
|
| 58 |
+
"returncode": 0,
|
| 59 |
+
"wall_time_seconds": 164.363,
|
| 60 |
+
"output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4",
|
| 61 |
+
"output_exists": true,
|
| 62 |
+
"output_size_bytes": 14589858,
|
| 63 |
+
"log_file": "experiments/fast_chunk_ablation_20260528/logs/example05_chunk03_seed6200.log",
|
| 64 |
+
"metrics_file": "experiments/fast_chunk_ablation_20260528/metrics/example05_chunk03_seed6200.json",
|
| 65 |
+
"nproc_per_node": 4,
|
| 66 |
+
"peak_single_gpu_memory_used_mib": 41973,
|
| 67 |
+
"peak_total_memory_used_mib": 143526,
|
| 68 |
+
"mean_gpu_utilization_percent": 37.346,
|
| 69 |
+
"mean_nonzero_gpu_count": 1.702
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"case_id": "example05_chunk04_seed6200",
|
| 73 |
+
"chunk_size": 4,
|
| 74 |
+
"chunk_frame_span": 16,
|
| 75 |
+
"chunk_seconds": 1.0,
|
| 76 |
+
"frame_num": 141,
|
| 77 |
+
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| 88 |
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| 92 |
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|
| 93 |
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},
|
| 94 |
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{
|
| 95 |
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"case_id": "example05_chunk06_seed6200",
|
| 96 |
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"chunk_size": 6,
|
| 97 |
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"chunk_frame_span": 24,
|
| 98 |
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| 105 |
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|
| 106 |
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"output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4",
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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|
| 112 |
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|
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|
| 114 |
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|
| 115 |
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|
| 116 |
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},
|
| 117 |
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{
|
| 118 |
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"case_id": "example05_chunk12_seed6200",
|
| 119 |
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"chunk_size": 12,
|
| 120 |
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|
| 121 |
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|
| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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"output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4",
|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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"metrics_file": "experiments/fast_chunk_ablation_20260528/metrics/example05_chunk12_seed6200.json",
|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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}
|
| 140 |
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]
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.err
ADDED
|
File without changes
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.out
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Case completed: experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.err
ADDED
|
File without changes
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.out
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Case completed: experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.err
ADDED
|
File without changes
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.out
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Case completed: experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4
|
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_3.err
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Case failed; see experiments/fast_chunk_ablation_20260528/logs/example05_chunk04_seed6200.log
|