【PaddlePaddle Hackathon 】No.17 add docs for API CosineEmbeddingLoss #4737
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TCChenlong
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May 20, 2022
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| ``Tensor``，输入 ``input`` 和标签 ``label`` 间的 `CosineEmbeddingLoss` 损失。如果 `reduction` 是 ``'none'``, 则输出Loss的维度为 [N], 与输入 ``input`` 相同。如果 `reduction` 是 ``'mean'`` 或 ``'sum'``, 则输出Loss的维度为 [1]。 |
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input 需要明确是 input1 还是 input 2 还是input1 和 input2；英文同理
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TCChenlong
approved these changes
Jun 8, 2022
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增加nn.CosineEmbeddingLoss和nn.functional.cosine_embedding_loss的中文文档。
该算子的实现PR为PaddlePaddle/Paddle#41680
PADDLEPADDLE_PR=41680