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Torch backwards compatibility fixes #610

Merged
merged 8 commits into from
Mar 15, 2022
Merged

Torch backwards compatibility fixes #610

merged 8 commits into from
Mar 15, 2022

Commits on Mar 14, 2022

  1. Fix compatibility with Torch without torch.cuda.amp.common

    @danieldk
    danieldk committed Mar 14, 2022
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  2. Disable PyTorch-based activation tests pre-PyTorch 1.9.0

    @danieldk
    danieldk committed Mar 14, 2022
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  3. Merge remote-tracking branch 'upstream/master' into torch-backward-co… 

    …mpat
    @danieldk
    danieldk committed Mar 14, 2022
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Commits on Mar 15, 2022

  1. Don't use gradient scaling unconditionally in PyTorch wrapper test

    @danieldk
    danieldk committed Mar 15, 2022
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  2. Disable gradient scaling tests on older PyTorch versions

    @danieldk
    danieldk committed Mar 15, 2022
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  3. Set minimum required PyTorch version to 1.6.0

    @danieldk
    danieldk committed Mar 15, 2022
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  4. Check that torch>=1.9.0 for mixed-precision training 

    Torch versions prior to 1.9.0 do not have the functionality that we need
for mixed-precision training and gradient scaling.
    @danieldk
    danieldk committed Mar 15, 2022
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  5. Refine exception message for mixed-precision training

    @danieldk
    danieldk committed Mar 15, 2022
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