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[rank0]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 290.00 MiB. GPU 0 has a total capacity of 23.69 GiB of which 101.31 MiB is free. Including non-PyTorch memory, this process has 23.57 GiB memory in use. Of the allocated memory 22.14 GiB is allocated by PyTorch, and 510.78 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
这是不是显存不够大造成的训练失败呢
The text was updated successfully, but these errors were encountered:
[rank0]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 290.00 MiB. GPU 0 has a total capacity of 23.69 GiB of which 101.31 MiB is free. Including non-PyTorch memory, this process has 23.57 GiB memory in use. Of the allocated memory 22.14 GiB is allocated by PyTorch, and 510.78 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
这是不是显存不够大造成的训练失败呢
The text was updated successfully, but these errors were encountered: