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Expected types for unet: (<class 'models.unet_spatio_temporal_condition.UNetSpatioTemporalConditionModel'>,), got <class 'diffusers.models.unets.unet_spatio_temporal_condition.UNetSpatioTemporalConditionModel'>.
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
Loading model from: /opt/conda/lib/python3.11/site-packages/lpips/weights/v0.1/alex.pth
[13:46:01] model=ablation_node_only_edge_transformer/checkpoint-10000 backbone=edge_transformer device=cuda

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[14:52:34]   34/34 windows  (66.6 min)
[14:52:34] DONE ablation_node_only_edge_transformer/checkpoint-10000: 34 windows in 66.6 min
[14:52:34]   ROI PSNR  1s/3s/6s/10s = 25.94/23.72/22.01/20.60
[14:52:34]   ROI SSIM  10s = 0.7711   ROI LPIPS 10s = 0.1184
saved= /workspace/_nodeonly_eval/shard0/ablation_node_only_edge_transformer/checkpoint-10000/protocol_metrics.json