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schludy t1_j09ukmr wrote

Do you handle the data the same way? Maybe you're loading more data in the tensorflow implementation. It's really hard to tell without seeing the code

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Oceanboi OP t1_j0cpolp wrote

Data is handled both the same way. I think it has to do with what u/MrFlufypants said, because when I restart my kernel and run it after freeing up some resources, it runs. I think the number of filters I was setting are right at the threshold in which my GPU runs out of VRAM, so small memory management differences in TF and PyTorch are causing TF to hit the limit faster than PyTorch.

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