[API compatibility] add paddle nn.functional.dropout1d api

[zhanghonggeng]

PR Category

User Experience

PR Types

New features

Description

增加paddle nn.functional.dropout1d(input, p=0.5, training=True, inplace=False) api
参数:
input (Tensor): 输入张量，形状需为 [C, L] 或 [N, C, L]
p (float): 置零概率（0-1），默认 0.5
training (bool): 是否训练模式，默认 True
inplace (bool): Paddle 暂不支持，仅为兼容 API
WARNING:
当前dropout,dropout1d,dropout2d,dropout3d均不支持inpalce，后续会在dropout中实现dropout_nd C++下沉，同时支持inpacle。
Note：
在 paddle.nn.functional.dropout 中，axis 参数控制 dropout 的应用维度：
当 axis=None（默认值）：对输入 Tensor x 中的任意元素，以丢弃概率 p 随机将一些元素输出置 0。
当 axis≠None 时（如 axis=1）：以一定的概率从图像特征或语音序列中丢弃掉整个通道。

虽然文档中建议 axis 保持默认值，但这里将 axis 设置为 1 更符合 dropout1d 的含义。

pcard-67164

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Codecov Report

❌ Patch coverage is 12.50000% with 14 lines in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (develop@68835a8). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
python/paddle/nn/functional/common.py	12.50%	14 Missing ⚠️

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Additional details and impacted files

@@            Coverage Diff             @@
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  Coverage           ?   12.50%           
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  Files              ?        1           
  Lines              ?       16           
  Branches           ?        0           
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  Misses             ?       14           
  Partials           ?        0           

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[zhanghonggeng]

/re-run all-failed

[zhwesky2010]

看看inplace这个问题，目前yaml里支持了inplace，能否支持一个inplace版本的dropout_接口。inpplace=False时调用dropout，inplace=True时，调用dropout_。

或者通过assign(output)这种能否支持？

[zhwesky2010]

assing实现的话可能得充分测下反向，看看与竞品的inplace=True下反向是不是一样

[zhwesky2010]

dropout=0下rtol是不是不用降低

[zhwesky2010]

LGTM

[zhanghonggeng]

/re-run all-failed

[XiaoguangHu01]

LGTM