[ ] Did you make sure to update the documentation with your changes? E.g. record bug fixes or new features in What's New. Here are the
documentation guidelines
[ ] Did you build and run the code without any errors?
[ ] Did you report the running environment (NPU type/MS version) and performance in the doc? (better record it for data loading, model inference, or training tasks)
[ ] Did you write any new necessary tests?
Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
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What does this PR do?
name
for parameters defined bymindspore.Parameter()
to make sureparam.set_dtype()
works just right, so we won't have to cast it manuallyLayerNorm.__init__()
to maintain consistency with torch.Before submitting
What's New
. Here are the documentation guidelinesWho can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR.
@geniuspatrick @CaitinZhao