【Hackathon 5th No.12】为Paddle新增AdaptiveLogSoftmaxWithLoss API #713
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GGBond8488
reviewed
Nov 6, 2023
| @@ -17,6 +17,8 @@ Paddle需要扩充API,新增 AdaptiveLogSoftmaxWithLoss API， | |||
| 调用路径为：`paddle.nn.AdaptiveLogSoftmaxWithLoss` 和 `paddle.nn.functional.adaptive_log_softmax_with_loss`。 | |||
| 实现Softmax快速近似计算的功能。 | |||
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| ## 2、功能目标 | |||
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功能目标写上吧，写上这个API具体会做哪些事情，并补充计算公式
| |提交作者<input type="checkbox" class="rowselector hidden"> | PeachML | | ||
| |提交时间<input type="checkbox" class="rowselector hidden"> | 2022-03-22 | | ||
| |提交作者<input type="checkbox" class="rowselector hidden"> | liethann | | ||
| |提交时间<input type="checkbox" class="rowselector hidden"> | 2023-10-20 | |
| `paddle.nn.functional.adaptive_log_softmax_with_loss(input, label, | ||
| in_features, n_classes, cutoffs, div_value=4.0, head_bias=False, name=None)`, 返回为`NamedTuple` 包含 `output` 和 `loss`字段 | ||
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| - function API：`paddle.nn.functional.adaptive_log_softmax_with_loss(input, target, head_weight, head_bias, tail_weights, cutoffs, shortlist_size)` 用于训练计算 |
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已经有 RFC 合入了，如果需要更新和完善，可以在原来的 RFC 上进行修改，感谢！ |
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对之前放弃继续开发的AdaptiveLogSoftmaxWithLoss API的rfc进行修改，重新组织实现方式，将API分离为layer层和function，使API更易用，结构更清晰。并重新更换邮箱以解决pr中cla无法通过的问题