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torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacty of 4.00 GiB of which 41.56 MiB is free. Including non-PyTorch memory, this process has 3.44 GiB memory in use. Of the allocated memory 2.58 GiB is allocated by PyTorch, and 1.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF.
In there not have other running processer and the 4GB is all free.
What is the reason?
The text was updated successfully, but these errors were encountered:
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacty of 4.00 GiB of which 41.56 MiB is free. Including non-PyTorch memory, this process has 3.44 GiB memory in use. Of the allocated memory 2.58 GiB is allocated by PyTorch, and 1.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF.
In there not have other running processer and the 4GB is all free.
What is the reason?
The text was updated successfully, but these errors were encountered: