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File "/home/wanglingzhi/anaconda3/envs/yolox/lib/python3.8/site-packages/mmdet-3.3.0-py3.8.egg/mmdet/structures/bbox/bbox_overlaps.py", line 176, in bbox_overlaps
wh = fp16_clamp(rb - lt, min=0)
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.45 GiB. GPU 0 has a total capacity of 5.78 GiB of which 606.62 MiB is free. Including non-PyTorch memory, this process has 4.30 GiB memory in use. Of the allocated memory 4.13 GiB is allocated by PyTorch, and 37.56 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:
File "/home/wanglingzhi/anaconda3/envs/yolox/lib/python3.8/site-packages/mmdet-3.3.0-py3.8.egg/mmdet/structures/bbox/bbox_overlaps.py", line 176, in bbox_overlaps
wh = fp16_clamp(rb - lt, min=0)
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.45 GiB. GPU 0 has a total capacity of 5.78 GiB of which 606.62 MiB is free. Including non-PyTorch memory, this process has 4.30 GiB memory in use. Of the allocated memory 4.13 GiB is allocated by PyTorch, and 37.56 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: