| | [NbConvertApp] Converting notebook HCP_downstream_raw_flatmaps.ipynb to python |
| | [NbConvertApp] Writing 36559 bytes to HCP_downstream_raw_flatmaps.py |
| | wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information. |
| | wandb: Currently logged in as: ckadirt. Use `wandb login --relogin` to force relogin |
| | wandb: Tracking run with wandb version 0.18.3 |
| | wandb: Run data is saved locally in /weka/proj-fmri/ckadirt/fMRI-foundation-model/src/wandb/run-20241127_015933-HCPflat_raw_beta_trial_type_3d482888-f4eb-482f-a3c2-2056642d97e2 |
| | wandb: Run `wandb offline` to turn off syncing. |
| | wandb: Syncing run HCPflat_raw_beta_trial_type |
| | wandb: ⭐️ View project at https://stability.wandb.io/ckadirt/fMRI-foundation-model |
| | wandb: 🚀 View run at https://stability.wandb.io/ckadirt/fMRI-foundation-model/runs/HCPflat_raw_beta_trial_type_3d482888-f4eb-482f-a3c2-2056642d97e2 |
| |
Epoch 1/50 - Training: 0
Epoch 1/50 - Training: 0 |
| | Traceback (most recent call last): |
| | File "/weka/proj-fmri/ckadirt/fMRI-foundation-model/src/HCP_downstream_raw_flatmaps.py", line 829, in <module> |
| | loss = criterion(outputs, labels) |
| | ^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| | File "/admin/home-ckadirt/foundation_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl |
| | return self._call_impl(*args, **kwargs) |
| | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| | File "/admin/home-ckadirt/foundation_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl |
| | return forward_call(*args, **kwargs) |
| | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| | File "/admin/home-ckadirt/foundation_env/lib/python3.11/site-packages/torch/nn/modules/loss.py", line 1188, in forward |
| | return F.cross_entropy(input, target, weight=self.weight, |
| | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| | File "/admin/home-ckadirt/foundation_env/lib/python3.11/site-packages/torch/nn/functional.py", line 3104, in cross_entropy |
| | return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing) |
| | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| | RuntimeError: 0D or 1D target tensor expected, multi-target not supported |
| |
|
