映射文档 No.53 torch.nn.PoissonNLLLoss
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RedContritio
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RedContritio
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torch.nn.PoissonNLLLoss
zhwesky2010
approved these changes
Jul 26, 2023
| | size_average | - | 已废弃（可用 `reduction` 代替）。表示是否采用 batch 中各样本 loss 平均值作为最终的 loss。如果置 False，则采用加和作为 loss。默认为 True，paddle 需要转写。 | | ||
| | eps | eps | 在 `log_input` 为 True 时使用的常数小量。默认值为 1e-8。 | | ||
| | reduce | - | 已废弃（可用 `reduction` 代替）。表示是否采用输出单个值作为 loss。如果置 False，则每个元素输出一个 loss 并忽略 `size_average`。默认为 True，paddle 需要转写。 | | ||
| | reduction | reduction | 指定应用于输出结果的计算方式，可选值有 `none`、`mean` 和 `sum`。默认为 `mean`，计算 mini-batch loss 均值。设置为 `sum` 时，计算 mini-batch loss 的总和。设置为 `none` 时，则返回 loss Tensor。默认值下为 `mean`。 | |
zhwesky2010
reviewed
Jul 26, 2023
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| | PyTorch | PaddlePaddle | 备注 | | ||
| | ------------------ | ------------------ | ---------------------------------------------------------------------------------- | | ||
| | log_input | log_input | 输入是否为对数函数映射后结果。 | |
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这个默认值不同吗，默认值不同，需要写明白 paddle怎么设置
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torch.nn.PoissonNLLLoss含有历史遗留参数，映射时需要按照逻辑进行参数的覆盖。