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Loading Mimi codec...

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Traceback (most recent call last):
  File "/home/spice/projects/tts-model-exploration/finetuning/scripts/tokenize_fast.py", line 469, in <module>
    main()
  File "/home/spice/projects/tts-model-exploration/finetuning/scripts/tokenize_fast.py", line 305, in main
    mimi = create_mimi_tokenizer(device=args.device)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/spice/projects/tts-model-exploration/finetuning/scripts/tokenize_fast.py", line 55, in create_mimi_tokenizer
    mimi.load(backend="transformers")
  File "/home/spice/projects/tts-model-exploration/finetuning/src/data/mimi_tokenizer.py", line 90, in load
    self._model = self._model.to(self.device)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/spice/.miniforge3/envs/liquid_finetune/lib/python3.12/site-packages/transformers/modeling_utils.py", line 3529, in to
    return super().to(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/spice/.miniforge3/envs/liquid_finetune/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1381, in to
    return self._apply(convert)
           ^^^^^^^^^^^^^^^^^^^^
  File "/home/spice/.miniforge3/envs/liquid_finetune/lib/python3.12/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
  File "/home/spice/.miniforge3/envs/liquid_finetune/lib/python3.12/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
  File "/home/spice/.miniforge3/envs/liquid_finetune/lib/python3.12/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
  [Previous line repeated 1 more time]
  File "/home/spice/.miniforge3/envs/liquid_finetune/lib/python3.12/site-packages/torch/nn/modules/module.py", line 964, in _apply
    param_applied = fn(param)
                    ^^^^^^^^^
  File "/home/spice/.miniforge3/envs/liquid_finetune/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1367, in convert
    return t.to(
           ^^^^^
torch.AcceleratorError: CUDA error: out of memory
Search for `cudaErrorMemoryAllocation' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information.
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.