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Hi,
when I run evaluate.py with config_file: CornerNet_Squeeze on GTX 1080 11GB. It got CUDA out of memory when reaching 49%. The 'test_batch' is 1. As I observed, the RAM suddenly go up when it reach 49% while remain stable before. I wonder why evaluation process would cost so much RAM like that?
The text was updated successfully, but these errors were encountered:
Hi,
when I run
evaluate.py
withconfig_file
: CornerNet_Squeeze on GTX 1080 11GB. It got CUDA out of memory when reaching 49%. The 'test_batch' is 1. As I observed, the RAM suddenly go up when it reach 49% while remain stable before. I wonder why evaluation process would cost so much RAM like that?The text was updated successfully, but these errors were encountered: