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Consumes a lot GPU memory than standard? #51

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mmw0909 opened this issue Oct 12, 2022 · 0 comments
Open

Consumes a lot GPU memory than standard? #51

mmw0909 opened this issue Oct 12, 2022 · 0 comments

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@mmw0909
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mmw0909 commented Oct 12, 2022

Hi, I used a ResNet34 backbone to train on (1, 128, 128) images with a batch size of 128. The total allocated memory is >35GB. According to the post, a ResNet50 on (3,256,256) images with a batch size of 96 only consumes 10GB. I am wondering if anyone else experiences the same issue and if there is any clue as to why this network takes such a lot of memory.
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