Datasets:

lamooon
/

vocal

+=== RPA Evaluation — Mon Mar 23 11:19:20 HKT 2026 ===
+Checkpoint: outputs/e4/best.pt
+Using device: cuda
+Loading model...
+WARNING: feature_extractor_cqt requires the libray 'nnAudio'
+Loaded checkpoint: outputs/e4/best.pt
+[test] Loaded 583 entries
+Test set: 583 entries
+Running inference...
+/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/eval_rpa.py:221: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with autocast(enabled=args.fp16):
+/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/mir_eval/melody.py:95: UserWarning: Estimated melody has no voiced frames.
+  warnings.warn("Estimated melody has no voiced frames.")
+  [50/583] 50 tracks, 45s
+  [100/583] 100 tracks, 89s
+  [150/583] 150 tracks, 127s
+  [200/583] 200 tracks, 165s
+  [250/583] 250 tracks, 203s
+  [300/583] 300 tracks, 241s
+  [350/583] 350 tracks, 279s
+Traceback (most recent call last):
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/eval_rpa.py", line 500, in <module>
+    main()
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/eval_rpa.py", line 222, in main
+    outputs = model(audio, target_frames=target_frames)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/src/model.py", line 219, in forward
+    features = self.encode(audio)
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/src/model.py", line 208, in encode
+    outputs = self.encoder(audio, output_hidden_states=True)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/.cache/huggingface/modules/transformers_modules/m_hyphen_a_hyphen_p/MERT_hyphen_v1_hyphen_95M/12af15fef9d0ac838c3f475bfbbf26d2060dd4f5/modeling_MERT.py", line 112, in forward
+    extract_features = self.feature_extractor(input_values)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/transformers/models/hubert/modeling_hubert.py", line 211, in forward
+    hidden_states = conv_layer(hidden_states)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/transformers/modeling_layers.py", line 93, in __call__
+    return super().__call__(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/transformers/models/hubert/modeling_hubert.py", line 173, in forward
+    hidden_states = self.layer_norm(hidden_states)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/normalization.py", line 327, in forward
+    return F.group_norm(input, self.num_groups, self.weight, self.bias, self.eps)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/functional.py", line 2990, in group_norm
+    return torch.group_norm(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 5.49 GiB. GPU 0 has a total capacity of 15.70 GiB of which 2.84 GiB is free. Including non-PyTorch memory, this process has 12.85 GiB memory in use. Of the allocated memory 10.21 GiB is allocated by PyTorch, and 2.33 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+=== RPA Evaluation CRASHED (exit 1) — Mon Mar 23 11:24:30 HKT 2026 ===