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Hello All
I am trying to run test.py on some images captured by my DSLR, CUDA_VISIBLE_DEVICES=1 python3 test.py -opt options/df2k/test_df2k.yml
and I am always getting CUDA out of memory error. However, when I try to run it on the FLICKR dataset of DIV2K, I am not facing any such problems. Please can anybody help me resolve it?
I think if i reduce the batch size, then it must be able to resolve this issue, can anybody tell me where the batch-size option is? If you think it could be because of something else also, please let me know.
This is the error I am getting always
RuntimeError: CUDA out of memory. Tried to allocate 10.23 GiB (GPU 0; 23.65 GiB total capacity; 13.52 GiB already allocated; 5.71 GiB free; 14.81 GiB reserved in total by PyTorch)
Thank you in advance for your help.
The text was updated successfully, but these errors were encountered:
Hello All
I am trying to run test.py on some images captured by my DSLR,
CUDA_VISIBLE_DEVICES=1 python3 test.py -opt options/df2k/test_df2k.yml
and I am always getting CUDA out of memory error. However, when I try to run it on the FLICKR dataset of DIV2K, I am not facing any such problems. Please can anybody help me resolve it?
I think if i reduce the batch size, then it must be able to resolve this issue, can anybody tell me where the batch-size option is? If you think it could be because of something else also, please let me know.
This is the error I am getting always
RuntimeError: CUDA out of memory. Tried to allocate 10.23 GiB (GPU 0; 23.65 GiB total capacity; 13.52 GiB already allocated; 5.71 GiB free; 14.81 GiB reserved in total by PyTorch)
Thank you in advance for your help.
The text was updated successfully, but these errors were encountered: