2026-04-23 11:42:10,393 - modelscope - INFO - Target directory already exists, skipping creation.
2026-04-23 11:42:33,940 - modelscope - INFO - Target directory already exists, skipping creation.
To avoid repeatedly downloading model files, (PAI/Wan2.1-Fun-V1.1-1.3B-Control, models_t5_umt5-xxl-enc-bf16.pth) is redirected to ('DiffSynth-Studio/Wan-Series-Converted-Safetensors', 'models_t5_umt5-xxl-enc-bf16.safetensors'). You can use `redirect_common_files=False` to disable file redirection.
To avoid repeatedly downloading model files, (PAI/Wan2.1-Fun-V1.1-1.3B-Control, Wan2.1_VAE.pth) is redirected to ('DiffSynth-Studio/Wan-Series-Converted-Safetensors', 'Wan2.1_VAE.safetensors'). You can use `redirect_common_files=False` to disable file redirection.
To avoid repeatedly downloading model files, (PAI/Wan2.1-Fun-V1.1-1.3B-Control, models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth) is redirected to ('DiffSynth-Studio/Wan-Series-Converted-Safetensors', 'models_clip_open-clip-xlm-roberta-large-vit-huge-14.safetensors'). You can use `redirect_common_files=False` to disable file redirection.
Downloading Model from https://www.modelscope.cn to directory: /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/models/DiffSynth-Studio/Wan-Series-Converted-Safetensors
Loading models from: "./models/DiffSynth-Studio/Wan-Series-Converted-Safetensors/models_t5_umt5-xxl-enc-bf16.safetensors"
Loaded model: {
    "model_name": "wan_video_text_encoder",
    "model_class": "diffsynth.models.wan_video_text_encoder.WanTextEncoder",
    "extra_kwargs": null
}
Downloading Model from https://www.modelscope.cn to directory: /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/models/PAI/Wan2.1-Fun-V1.1-1.3B-Control
Loading models from: "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors"
Loaded model: {
    "model_name": "wan_video_dit",
    "model_class": "diffsynth.models.wan_video_dit.WanModel",
    "extra_kwargs": {
        "has_image_input": true,
        "patch_size": [
            1,
            2,
            2
        ],
        "in_dim": 48,
        "dim": 1536,
        "ffn_dim": 8960,
        "freq_dim": 256,
        "text_dim": 4096,
        "out_dim": 16,
        "num_heads": 12,
        "num_layers": 30,
        "eps": 1e-06,
        "has_ref_conv": true
    }
}
Downloading Model from https://www.modelscope.cn to directory: /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/models/DiffSynth-Studio/Wan-Series-Converted-Safetensors
Loading models from: "./models/DiffSynth-Studio/Wan-Series-Converted-Safetensors/Wan2.1_VAE.safetensors"
Loaded model: {
    "model_name": "wan_video_vae",
    "model_class": "diffsynth.models.wan_video_vae.WanVideoVAE",
    "extra_kwargs": null
}
Downloading Model from https://www.modelscope.cn to directory: /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/models/DiffSynth-Studio/Wan-Series-Converted-Safetensors
Loading models from: "./models/DiffSynth-Studio/Wan-Series-Converted-Safetensors/models_clip_open-clip-xlm-roberta-large-vit-huge-14.safetensors"
Loaded model: {
    "model_name": "wan_video_image_encoder",
    "model_class": "diffsynth.models.wan_video_image_encoder.WanImageEncoder",
    "extra_kwargs": null
}
Using wan_video_text_encoder from "./models/DiffSynth-Studio/Wan-Series-Converted-Safetensors/models_t5_umt5-xxl-enc-bf16.safetensors".
Using wan_video_dit from "./models/PAI/Wan2.1-Fun-V1.1-1.3B-Control/diffusion_pytorch_model.safetensors".
Using wan_video_vae from "./models/DiffSynth-Studio/Wan-Series-Converted-Safetensors/Wan2.1_VAE.safetensors".
Using wan_video_image_encoder from "./models/DiffSynth-Studio/Wan-Series-Converted-Safetensors/models_clip_open-clip-xlm-roberta-large-vit-huge-14.safetensors".
No wan_video_motion_controller models available. This is not an error.
No wan_video_vace models available. This is not an error.
No wan_video_vap models available. This is not an error.
No wans2v_audio_encoder models available. This is not an error.
No wan_video_animate_adapter models available. This is not an error.
Downloading Model from https://www.modelscope.cn to directory: /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/models/Wan-AI/Wan2.1-T2V-1.3B
300 tensors are fused by LoRA. Fused LoRA layers cannot be cleared by `pipe.clear_lora()`.
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000007365_000007445.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE050_000007365_000007445
  track shape: torch.Size([1, 81, 260, 2]), visibility shape: torch.Size([1, 81, 260])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000007365_000007445.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000021015_000021095.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE050_000021015_000021095
  track shape: torch.Size([1, 81, 272, 2]), visibility shape: torch.Size([1, 81, 272])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000021015_000021095.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000026265_000026345.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE050_000026265_000026345
  track shape: torch.Size([1, 81, 285, 2]), visibility shape: torch.Size([1, 81, 285])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000026265_000026345.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000153315_000153395.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE050_000153315_000153395
  track shape: torch.Size([1, 81, 400, 2]), visibility shape: torch.Size([1, 81, 400])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE050_000153315_000153395.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000033818_000033938.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE015_000033818_000033938
  track shape: torch.Size([1, 81, 255, 2]), visibility shape: torch.Size([1, 81, 255])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000033818_000033938.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000074318_000074438.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE015_000074318_000074438
  track shape: torch.Size([1, 81, 322, 2]), visibility shape: torch.Size([1, 81, 322])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000074318_000074438.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000098597_000098717.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE015_000098597_000098717
  track shape: torch.Size([1, 81, 223, 2]), visibility shape: torch.Size([1, 81, 223])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000098597_000098717.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000215264_000215384.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE015_000215264_000215384
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000215264_000215384.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000248339_000248459.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE015_000248339_000248459
  track shape: torch.Size([1, 81, 228, 2]), visibility shape: torch.Size([1, 81, 228])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE015_000248339_000248459.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE004_000014242_000014362.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE004_000014242_000014362
  track shape: torch.Size([1, 81, 326, 2]), visibility shape: torch.Size([1, 81, 326])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE004_000014242_000014362.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE004_000145508_000145628.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE004_000145508_000145628
  track shape: torch.Size([1, 81, 347, 2]), visibility shape: torch.Size([1, 81, 347])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE004_000145508_000145628.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE004_000279980_000280100.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE004_000279980_000280100
  track shape: torch.Size([1, 81, 124, 2]), visibility shape: torch.Size([1, 81, 124])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE004_000279980_000280100.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE041_000108165_000108245.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE041_000108165_000108245
  track shape: torch.Size([1, 81, 297, 2]), visibility shape: torch.Size([1, 81, 297])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE041_000108165_000108245.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE047_000054615_000054695.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE047_000054615_000054695
  track shape: torch.Size([1, 81, 281, 2]), visibility shape: torch.Size([1, 81, 281])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE047_000054615_000054695.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000009518_000009638.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE002_000009518_000009638
  track shape: torch.Size([1, 81, 302, 2]), visibility shape: torch.Size([1, 81, 302])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000009518_000009638.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000027068_000027188.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE002_000027068_000027188
  track shape: torch.Size([1, 81, 421, 2]), visibility shape: torch.Size([1, 81, 421])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000027068_000027188.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000082632_000082752.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE002_000082632_000082752
  track shape: torch.Size([1, 81, 222, 2]), visibility shape: torch.Size([1, 81, 222])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000082632_000082752.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000096132_000096252.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE002_000096132_000096252
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000096132_000096252.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000192633_000192753.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE002_000192633_000192753
  track shape: torch.Size([1, 81, 316, 2]), visibility shape: torch.Size([1, 81, 316])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000192633_000192753.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000245643_000245763.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE002_000245643_000245763
  track shape: torch.Size([1, 81, 241, 2]), visibility shape: torch.Size([1, 81, 241])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000245643_000245763.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000309579_000309699.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE002_000309579_000309699
  track shape: torch.Size([1, 81, 262, 2]), visibility shape: torch.Size([1, 81, 262])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

VAE decoding:   0%|          | 0/4 [00:00<?, ?it/s]
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Saving video:   0%|          | 0/81 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE002_000309579_000309699.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE051_000003165_000003245.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE051_000003165_000003245
  track shape: torch.Size([1, 81, 112, 2]), visibility shape: torch.Size([1, 81, 112])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

VAE decoding:   0%|          | 0/4 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE051_000003165_000003245.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE051_000033615_000033695.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE051_000033615_000033695
  track shape: torch.Size([1, 81, 284, 2]), visibility shape: torch.Size([1, 81, 284])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE051_000033615_000033695.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000014707_000014787.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE021_000014707_000014787
  track shape: torch.Size([1, 81, 488, 2]), visibility shape: torch.Size([1, 81, 488])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000014707_000014787.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000029407_000029487.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE021_000029407_000029487
  track shape: torch.Size([1, 81, 263, 2]), visibility shape: torch.Size([1, 81, 263])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000029407_000029487.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000161557_000161637.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE021_000161557_000161637
  track shape: torch.Size([1, 81, 193, 2]), visibility shape: torch.Size([1, 81, 193])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000161557_000161637.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000294137_000294217.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE021_000294137_000294217
  track shape: torch.Size([1, 81, 116, 2]), visibility shape: torch.Size([1, 81, 116])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE021_000294137_000294217.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000004792_000004912.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000004792_000004912
  track shape: torch.Size([1, 81, 206, 2]), visibility shape: torch.Size([1, 81, 206])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000004792_000004912.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000017392_000017512.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000017392_000017512
  track shape: torch.Size([1, 81, 148, 2]), visibility shape: torch.Size([1, 81, 148])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000017392_000017512.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000128808_000128928.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000128808_000128928
  track shape: torch.Size([1, 81, 385, 2]), visibility shape: torch.Size([1, 81, 385])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

VAE decoding:   0%|          | 0/4 [00:00<?, ?it/s]
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VAE decoding: 100%|██████████| 4/4 [00:03<00:00,  1.15it/s]

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000128808_000128928.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000169916_000170036.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000169916_000170036
  track shape: torch.Size([1, 81, 142, 2]), visibility shape: torch.Size([1, 81, 142])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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Saving video:   0%|          | 0/81 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000169916_000170036.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000193541_000193661.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000193541_000193661
  track shape: torch.Size([1, 81, 161, 2]), visibility shape: torch.Size([1, 81, 161])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

VAE decoding:   0%|          | 0/4 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000193541_000193661.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000202991_000203111.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000202991_000203111
  track shape: torch.Size([1, 81, 97, 2]), visibility shape: torch.Size([1, 81, 97])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000202991_000203111.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000304505_000304625.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000304505_000304625
  track shape: torch.Size([1, 81, 345, 2]), visibility shape: torch.Size([1, 81, 345])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000304505_000304625.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000419151_000419271.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000419151_000419271
  track shape: torch.Size([1, 81, 209, 2]), visibility shape: torch.Size([1, 81, 209])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000419151_000419271.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000437826_000437946.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE001_000437826_000437946
  track shape: torch.Size([1, 81, 236, 2]), visibility shape: torch.Size([1, 81, 236])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE001_000437826_000437946.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000053618_000053738.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE014_000053618_000053738
  track shape: torch.Size([1, 81, 175, 2]), visibility shape: torch.Size([1, 81, 175])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000053618_000053738.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000085776_000085896.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE014_000085776_000085896
  track shape: torch.Size([1, 81, 258, 2]), visibility shape: torch.Size([1, 81, 258])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000085776_000085896.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000269376_000269496.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE014_000269376_000269496
  track shape: torch.Size([1, 81, 138, 2]), visibility shape: torch.Size([1, 81, 138])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000269376_000269496.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000283004_000283124.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE014_000283004_000283124
  track shape: torch.Size([1, 81, 284, 2]), visibility shape: torch.Size([1, 81, 284])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000283004_000283124.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000349416_000349536.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE014_000349416_000349536
  track shape: torch.Size([1, 81, 257, 2]), visibility shape: torch.Size([1, 81, 257])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE014_000349416_000349536.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000049298_000049418.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE003_000049298_000049418
  track shape: torch.Size([1, 81, 111, 2]), visibility shape: torch.Size([1, 81, 111])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000049298_000049418.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000101092_000101212.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE003_000101092_000101212
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000101092_000101212.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000103118_000103238.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE003_000103118_000103238
  track shape: torch.Size([1, 81, 167, 2]), visibility shape: torch.Size([1, 81, 167])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000103118_000103238.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000165524_000165644.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE003_000165524_000165644
  track shape: torch.Size([1, 81, 288, 2]), visibility shape: torch.Size([1, 81, 288])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000165524_000165644.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000208048_000208169.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE003_000208048_000208169
  track shape: torch.Size([1, 81, 364, 2]), visibility shape: torch.Size([1, 81, 364])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE003_000208048_000208169.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000084660_000084780.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE007_000084660_000084780
  track shape: torch.Size([1, 81, 243, 2]), visibility shape: torch.Size([1, 81, 243])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000084660_000084780.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000132840_000132960.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE007_000132840_000132960
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000132840_000132960.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000233730_000233850.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE007_000233730_000233850
  track shape: torch.Size([1, 81, 338, 2]), visibility shape: torch.Size([1, 81, 338])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000233730_000233850.mp4
Processing video: GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000248130_000248250.mp4 with track: GraSP/processed/processed_sampled_based_on_mask_512x320_masktrack/CASE007_000248130_000248250
  track shape: torch.Size([1, 81, 252, 2]), visibility shape: torch.Size([1, 81, 252])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/GraSP/processed/processed_sampled_based_on_mask_512x320/CASE007_000248130_000248250.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000006.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000006
  track shape: torch.Size([1, 81, 123, 2]), visibility shape: torch.Size([1, 81, 123])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000006.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000119.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000119
  track shape: torch.Size([1, 81, 295, 2]), visibility shape: torch.Size([1, 81, 295])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000119.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000123.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000123
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000123.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000124.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000124
  track shape: torch.Size([1, 81, 241, 2]), visibility shape: torch.Size([1, 81, 241])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000124.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000245.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000245
  track shape: torch.Size([1, 81, 224, 2]), visibility shape: torch.Size([1, 81, 224])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000245.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000322.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000322
  track shape: torch.Size([1, 81, 195, 2]), visibility shape: torch.Size([1, 81, 195])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000322.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000355.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000355
  track shape: torch.Size([1, 81, 118, 2]), visibility shape: torch.Size([1, 81, 118])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000355.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000399.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000399
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000399.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000430.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000430
  track shape: torch.Size([1, 81, 208, 2]), visibility shape: torch.Size([1, 81, 208])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000430.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000555.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000555
  track shape: torch.Size([1, 81, 245, 2]), visibility shape: torch.Size([1, 81, 245])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000555.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000762.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000762
  track shape: torch.Size([1, 81, 307, 2]), visibility shape: torch.Size([1, 81, 307])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000762.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000842.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000842
  track shape: torch.Size([1, 81, 268, 2]), visibility shape: torch.Size([1, 81, 268])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000842.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_000948.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_000948
  track shape: torch.Size([1, 81, 161, 2]), visibility shape: torch.Size([1, 81, 161])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_000948.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_001015.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_001015
  track shape: torch.Size([1, 81, 179, 2]), visibility shape: torch.Size([1, 81, 179])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_001015.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_001850.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_001850
  track shape: torch.Size([1, 81, 196, 2]), visibility shape: torch.Size([1, 81, 196])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_001850.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_002838.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_002838
  track shape: torch.Size([1, 81, 222, 2]), visibility shape: torch.Size([1, 81, 222])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_002838.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004083.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004083
  track shape: torch.Size([1, 81, 78, 2]), visibility shape: torch.Size([1, 81, 78])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004083.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004240.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004240
  track shape: torch.Size([1, 81, 203, 2]), visibility shape: torch.Size([1, 81, 203])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004240.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004336.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004336
  track shape: torch.Size([1, 81, 265, 2]), visibility shape: torch.Size([1, 81, 265])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004336.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004351.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004351
  track shape: torch.Size([1, 81, 244, 2]), visibility shape: torch.Size([1, 81, 244])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004351.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004400.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004400
  track shape: torch.Size([1, 81, 79, 2]), visibility shape: torch.Size([1, 81, 79])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004400.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004421.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004421
  track shape: torch.Size([1, 81, 132, 2]), visibility shape: torch.Size([1, 81, 132])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004421.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004557.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004557
  track shape: torch.Size([1, 81, 175, 2]), visibility shape: torch.Size([1, 81, 175])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004557.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004718.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004718
  track shape: torch.Size([1, 81, 315, 2]), visibility shape: torch.Size([1, 81, 315])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004718.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004824.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004824
  track shape: torch.Size([1, 81, 167, 2]), visibility shape: torch.Size([1, 81, 167])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004824.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004848.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004848
  track shape: torch.Size([1, 81, 211, 2]), visibility shape: torch.Size([1, 81, 211])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004848.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004898.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004898
  track shape: torch.Size([1, 81, 223, 2]), visibility shape: torch.Size([1, 81, 223])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004898.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004900.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004900
  track shape: torch.Size([1, 81, 254, 2]), visibility shape: torch.Size([1, 81, 254])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004900.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004903.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004903
  track shape: torch.Size([1, 81, 146, 2]), visibility shape: torch.Size([1, 81, 146])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004903.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004967.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004967
  track shape: torch.Size([1, 81, 275, 2]), visibility shape: torch.Size([1, 81, 275])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004967.mp4
Processing video: SurgToolLoc22/processed/video_clips_8fps/clip_004993.mp4 with track: SurgToolLoc22/processed/video_clips_8fps_masktrack/clip_004993
  track shape: torch.Size([1, 81, 40, 2]), visibility shape: torch.Size([1, 81, 40])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/SurgToolLoc22/processed/video_clips_8fps/clip_004993.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_1501_1581.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_1501_1581
  track shape: torch.Size([1, 81, 127, 2]), visibility shape: torch.Size([1, 81, 127])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_1501_1581.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_3301_3381.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_3301_3381
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_3301_3381.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_4926_5006.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_4926_5006
  track shape: torch.Size([1, 81, 57, 2]), visibility shape: torch.Size([1, 81, 57])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_4926_5006.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_14851_14931.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_14851_14931
  track shape: torch.Size([1, 81, 89, 2]), visibility shape: torch.Size([1, 81, 89])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_14851_14931.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_18151_18231.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_18151_18231
  track shape: torch.Size([1, 81, 152, 2]), visibility shape: torch.Size([1, 81, 152])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_18151_18231.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_21201_21281.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_21201_21281
  track shape: torch.Size([1, 81, 56, 2]), visibility shape: torch.Size([1, 81, 56])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_21201_21281.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_32176_32256.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_32176_32256
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_32176_32256.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_32276_32356.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_32276_32356
  track shape: torch.Size([1, 81, 76, 2]), visibility shape: torch.Size([1, 81, 76])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_32276_32356.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_39901_39981.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID01_39901_39981
  track shape: torch.Size([1, 81, 56, 2]), visibility shape: torch.Size([1, 81, 56])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID01_39901_39981.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID06_30976_31056.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID06_30976_31056
  track shape: torch.Size([1, 81, 120, 2]), visibility shape: torch.Size([1, 81, 120])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Saving video:   0%|          | 0/81 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID06_30976_31056.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID06_31401_31481.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID06_31401_31481
  track shape: torch.Size([1, 81, 94, 2]), visibility shape: torch.Size([1, 81, 94])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID06_31401_31481.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID06_60251_60331.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID06_60251_60331
  track shape: torch.Size([1, 81, 221, 2]), visibility shape: torch.Size([1, 81, 221])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID06_60251_60331.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_2651_2731.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_2651_2731
  track shape: torch.Size([1, 81, 87, 2]), visibility shape: torch.Size([1, 81, 87])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_2651_2731.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_7076_7156.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_7076_7156
  track shape: torch.Size([1, 81, 77, 2]), visibility shape: torch.Size([1, 81, 77])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_7076_7156.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_8851_8931.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_8851_8931
  track shape: torch.Size([1, 81, 44, 2]), visibility shape: torch.Size([1, 81, 44])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Saving video:   0%|          | 0/81 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_8851_8931.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_17076_17156.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_17076_17156
  track shape: torch.Size([1, 81, 106, 2]), visibility shape: torch.Size([1, 81, 106])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

VAE decoding:   0%|          | 0/4 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_17076_17156.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_21201_21281.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_21201_21281
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_21201_21281.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_26551_26631.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_26551_26631
  track shape: torch.Size([1, 81, 55, 2]), visibility shape: torch.Size([1, 81, 55])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_26551_26631.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_50701_50781.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_50701_50781
  track shape: torch.Size([1, 81, 127, 2]), visibility shape: torch.Size([1, 81, 127])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_50701_50781.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_73051_73131.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID07_73051_73131
  track shape: torch.Size([1, 81, 150, 2]), visibility shape: torch.Size([1, 81, 150])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Saving video:   0%|          | 0/81 [00:00<?, ?it/s]
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID07_73051_73131.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_7951_8031.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID12_7951_8031
  track shape: torch.Size([1, 81, 138, 2]), visibility shape: torch.Size([1, 81, 138])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_7951_8031.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_9301_9381.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID12_9301_9381
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_9301_9381.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_9801_9881.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID12_9801_9881
  track shape: torch.Size([1, 81, 125, 2]), visibility shape: torch.Size([1, 81, 125])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_9801_9881.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_12001_12081.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID12_12001_12081
  track shape: torch.Size([1, 81, 62, 2]), visibility shape: torch.Size([1, 81, 62])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID12_12001_12081.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID25_6851_6931.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID25_6851_6931
  track shape: torch.Size([1, 81, 81, 2]), visibility shape: torch.Size([1, 81, 81])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID25_6851_6931.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID25_14926_15006.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID25_14926_15006
  track shape: torch.Size([1, 81, 56, 2]), visibility shape: torch.Size([1, 81, 56])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])

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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID25_14926_15006.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID39_17851_17931.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID39_17851_17931
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID39_17851_17931.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID92_11276_11356.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID92_11276_11356
  track shape: torch.Size([1, 81, 181, 2]), visibility shape: torch.Size([1, 81, 181])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID92_11276_11356.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID111_17651_17731.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID111_17651_17731
  track shape: torch.Size([1, 81, 78, 2]), visibility shape: torch.Size([1, 81, 78])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID111_17651_17731.mp4
Processing video: CholecTrack20/processed/video_clips_cropped_resized_512x320/VID111_33926_34006.mp4 with track: CholecTrack20/processed/video_clips_cropped_resized_512x320_masktrack/VID111_33926_34006
  track shape: torch.Size([1, 81, 90, 2]), visibility shape: torch.Size([1, 81, 90])

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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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Reference latents shape: torch.Size([1, 16, 1, 40, 64])
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  Saved to /mnt/vita/scratch/vita-students/users/wuli/code/pwt/SurgWorld/DiffSynth-Studio/_experiments/train/20260309/Wan2.1-Fun-V1.1-1.3B-Control_lora_3datasets_mask_track_05_resume_20260305_mask_15.5k/step-17500-cfg1/val_mask_track/CholecTrack20/processed/video_clips_cropped_resized_512x320/VID111_33926_34006.mp4
