You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.22 GiB. GPU 0 has a total capacity of 15.69 GiB of which 3.71 GiB is free. Including non-PyTorch memory, this process has 11.14 GiB memory in use. Of the allocated memory 10.14 GiB is allocated by PyTorch, and 771.43 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)
The text was updated successfully, but these errors were encountered:
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.22 GiB. GPU 0 has a total capacity of 15.69 GiB of which 3.71 GiB is free. Including non-PyTorch memory, this process has 11.14 GiB memory in use. Of the allocated memory 10.14 GiB is allocated by PyTorch, and 771.43 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)
The text was updated successfully, but these errors were encountered: