File "/home/xiezizhe/anaconda3090/envs/willm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
shift_logits = lm_logits[..., :-1, :].contiguous()
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.22 GiB. GPU 0 has a total capacity of 23.69 GiB of which 1.98 GiB is free. Process 38499 has 21.70 GiB memory in use. Of the allocated memory 20.49 GiB is allocated by PyTorch, and 818.86 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)
weiiWill
commented
6 months ago
File "/home/xiezizhe/anaconda3090/envs/willm/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl shift_logits = lm_logits[..., :-1, :].contiguous() torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.22 GiB. GPU 0 has a total capacity of 23.69 GiB of which 1.98 GiB is free. Process 38499 has 21.70 GiB memory in use. Of the allocated memory 20.49 GiB is allocated by PyTorch, and 818.86 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)