0%|          | 0/833 [00:00<?, ?it/s]
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/scratch/ajc10180/repos/smooth-hierarchy/.venv/lib/python3.10/site-packages/torchvision/datasets/video_utils.py:221: UserWarning: There aren't enough frames in the current video to get a clip for the given clip length and frames between clips. The video (and potentially others) will be skipped.
  warnings.warn(
/scratch/ajc10180/repos/smooth-hierarchy/.venv/lib/python3.10/site-packages/lightning_fabric/plugins/environments/slurm.py:204: The `srun` command is available on your system but is not used. HINT: If your intention is to run Lightning on SLURM, prepend your python command with `srun` like so: srun python train.py --data_root /scratch/ajc10180/data/ucf101 - ...
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
💡 Tip: For seamless cloud logging and experiment tracking, try installing [litlogger](https://pypi.org/project/litlogger/) to enable LitLogger, which logs metrics and artifacts automatically to the Lightning Experiments platform.
You are using a CUDA device ('NVIDIA H200') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision
wandb: WARNING The anonymous setting has no effect and will be removed in a future version.
wandb: [wandb.login()] Loaded credentials for https://api.wandb.ai from WANDB_API_KEY.
wandb: Currently logged in as: aditijc5 (aditijc5-new-york-university) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
wandb: setting up run 9yngjsbe
wandb: Tracking run with wandb version 0.26.0
wandb: Run data is saved locally in wandb/run-20260422_104257-9yngjsbe
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run canary-6876770
wandb: ⭐️ View project at https://wandb.ai/aditijc5-new-york-university/smooth-hierarchy
wandb: 🚀 View run at https://wandb.ai/aditijc5-new-york-university/smooth-hierarchy/runs/9yngjsbe
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]

  | Name | Type | Params | Mode  | FLOPs
----------------------------------------------
0 | net  | UNet | 3.9 M  | train | 0    
----------------------------------------------
3.9 M     Trainable params
0         Non-trainable params
3.9 M     Total params
15.700    Total estimated model params size (MB)
58        Modules in train mode
0         Modules in eval mode
0         Total Flops
/scratch/ajc10180/repos/smooth-hierarchy/.venv/lib/python3.10/site-packages/pytorch_lightning/utilities/_pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead.
`Trainer.fit` stopped: `max_epochs=2` reached.