具体报错：torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 15.77 GiB of which 221.75 MiB is free. Including non-PyTorch memory, this process has 15.54 GiB memory in use. Of the allocated memory 14.74 GiB is allocated by PyTorch, and 1.53 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)
具体报错：torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 15.77 GiB of which 221.75 MiB is free. Including non-PyTorch memory, this process has 15.54 GiB memory in use. Of the allocated memory 14.74 GiB is allocated by PyTorch, and 1.53 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)