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improve the robustness of the utils #25

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charlesfrye opened this issue May 31, 2021 · 0 comments
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improve the robustness of the utils #25

charlesfrye opened this issue May 31, 2021 · 0 comments
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lightning PyTorch Lightning course materials

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@charlesfrye
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Networks that are being pruned with torch.nn.prune break certain assumptions in e.g. the parameter counting, as do I believe the quantized networks.

These should be resolved (incorporating fixes from the relevant notebooks, when possible) so that the utils are more robust.
@charlesfrye charlesfrye added the lightning PyTorch Lightning course materials label May 31, 2021
This was referenced Jun 2, 2021
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