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@Ubospica Ubospica commented Feb 21, 2023

This PR supports the cases when input does not contain batches for topi.nll_loss.

When there is no batches, the shape of the prediction parameter is (C,), the shape of the target parameter is (), the shape of the target parameter is (C,), and the shape of the output is always () no matter which reduction method it uses.

cc @junrushao @Hzfengsy

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tvm-bot commented Feb 21, 2023

Thanks for contributing to TVM! Please refer to the contributing guidelines https://tvm.apache.org/docs/contribute/ for useful information and tips. Please request code reviews from Reviewers by @-ing them in a comment.

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@Ubospica Ubospica changed the title Support non-batch cases for topi.nll_loss [TOPI] Support non-batch cases for topi.nll_loss Feb 21, 2023
@junrushao junrushao merged commit 5ec33bb into apache:main Feb 21, 2023
yongwww pushed a commit to yongwww/tvm that referenced this pull request Feb 27, 2023
This PR supports the cases when input does not contain batches for `topi.nll_loss`.

When there is no batches, the shape of the prediction parameter is `(C,)`,  the shape of the target parameter is `()`, the shape of the target parameter is `(C,)`, and the shape of the output is always `()` no matter which reduction method it uses.
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3 participants