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Optimize MPNCOV.py for less memory usage and faster inference#29

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csmliu wants to merge 2 commits intodaitao:masterfrom
csmliu:patch-1
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Optimize MPNCOV.py for less memory usage and faster inference#29
csmliu wants to merge 2 commits intodaitao:masterfrom
csmliu:patch-1

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@csmliu
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@csmliu csmliu commented Feb 26, 2020

I am going to compare your method in my paper, and am now generating your results using the released model.
According to #22, I modified the code for a faster inference and less memory usage. Kindly have a check.

Since I_hat is not a three-dimensioni tensor now, the bmm in the backward function should be replaced by @ as well
@aryan-f
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aryan-f commented Sep 11, 2020

Could not train the model after this modification. Torch 0.4 did not have a diagnol method defined for Tensors, and working around it usingtorch.diagnol(tensor) causes the loss to jump to infinity.

@ZFhuang
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ZFhuang commented Jul 4, 2021

Nice commit, saves a lot of memory.

@antonelse
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the problem still exist ! Does anyone knows where is the problem ?

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4 participants