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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/06/10 18:59:39 UTC

[GitHub] [tvm] dvhg commented on issue #8233: [Bug] PyTorch MaskRCNN GPU OOM error

dvhg commented on issue #8233:
URL: https://github.com/apache/tvm/issues/8233#issuecomment-858918248


   That's a good point, I didn't think to check memory on CPU targets. Using llvm target, I also see memory usage increase with each inference. After about 300 inferences, the python process consumes ~25% of my 128GB physical RAM. I noticed that the rate of increase seems to slow down but varies a lot depending on the input.
   
   I've also seen this happen with FasterRCNN.


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