[API Compatibility] select_scatter/sgn/signbit/slice_scatter/tensordot/tril_indices/triu_indices/vander/logaddexp/logspace/moveaxis/nan_to_num/nanmean/nansum/masked_fill Edit By AI Agent#7904
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感谢你贡献飞桨文档，文档预览构建中，Docs-New 跑完后即可预览，预览链接：http://preview-pr-7904.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
📚 本次 PR 文档预览链接（点击展开）
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Pull request overview
该 PR 根据 Paddle 主仓 PR（https://github.com/PaddlePaddle/Paddle/pull/78971）对齐 PyTorch 兼容性改动，集中更新多项 Paddle API 的中文 .rst 文档（签名、参数别名、关键字参数如 out 等），以反映最新的 API 形态与别名支持。
Changes:
- 为部分 API 文档补齐/更新函数签名（如新增仅关键字参数
out，以及logspace的device/requires_grad等）。 - 在参数说明中补充与 PyTorch 对齐的参数别名（如
x↔input、y↔other、axes↔dims等）。 - 为新增的仅关键字参数补充“关键字参数”小节。
Reviewed changes
Copilot reviewed 12 out of 12 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| docs/api/paddle/vander_cn.rst | 为 n 参数补充别名说明（N）。 |
| docs/api/paddle/tensordot_cn.rst | 更新签名以支持 out，并为 x/y/axes 增加别名与关键字参数说明。 |
| docs/api/paddle/take_cn.rst | 为 x 参数补充别名 input。 |
| docs/api/paddle/slice_scatter_cn.rst | 为多参数补充别名，并将若干参数类型扩展为支持 int。 |
| docs/api/paddle/signbit_cn.rst | 更新签名以支持 out，并为 x 增加别名 input。 |
| docs/api/paddle/sgn_cn.rst | 更新签名以支持 out，并为 x 增加别名 input。 |
| docs/api/paddle/nansum_cn.rst | 更新签名以支持 out，并为 x/axis 增加别名。 |
| docs/api/paddle/nanmean_cn.rst | 更新签名以补充 dtype 与 out，并为 x/axis 增加别名。 |
| docs/api/paddle/nan_to_num_cn.rst | 更新签名以支持 out，并为 x 增加别名 input。 |
| docs/api/paddle/moveaxis_cn.rst | 为 x 参数补充别名 input。 |
| docs/api/paddle/logspace_cn.rst | 更新签名以支持 out/device/requires_grad，并为参数补充别名与关键字参数说明。 |
| docs/api/paddle/logaddexp_cn.rst | 更新签名以支持 out，并为 x/y 增加别名与关键字参数说明。 |
Comments suppressed due to low confidence (2)
docs/api/paddle/logaddexp_cn.rst:10
- 文档中的数学公式与返回值描述都写成了
logaddexp(x)，但该函数有两个输入x/y，应表述为logaddexp(x, y)（与签名一致）。建议同步修正公式与“返回”部分的函数记法，避免把y漏掉。
.. py:function:: paddle.logaddexp(x, y, name=None, *, out=None)
计算 ``x`` 和 ``y`` 的以 e 为底的指数的和的自然对数。计算公式如下：
.. math::
docs/api/paddle/logspace_cn.rst:10
- 这里同时声明“
paddle.logspace不进行梯度计算”但又新增了requires_grad参数并描述会设置stop_gradient。这两者语义上冲突：要么移除/隐藏requires_grad，要么在 note/参数说明中明确该 op 不支持反向、requires_grad仅影响属性标记等。
.. py:function:: paddle.logspace(start, stop, num, base=10.0, dtype=None, name=None, *, out=None, device=None, requires_grad=False)
返回一个 Tensor，Tensor 的值为在区间 :math:`[base^{start}, base^{stop}]` 上按对数均匀间隔的 :math:`num` 个值，输出 Tensor 的长度为 num。
.. note::
| :::::::::: | ||
| - **x** (Tensor) - 输入的 Tensor，必须是 1-D Tensor, 支持的数据类型：int32、int64、float32、float64、complex64、complex128。 | ||
| - **n** (int，可选) - 输出中的列数。如果未指定 n，则返回一个方阵(n = len(x))。 | ||
| - **n** (int，可选) - 输出中的列数。如果未指定 n，则返回一个方阵(n = len(x))。别名 ``N``。 |
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| - **axes** (int|list|tuple) - 指定沿着哪几个维度嵌入对应的值。别名 ``dim``。 | ||
| - **starts** (int|list|tuple) - 嵌入的起始索引。别名 ``start``。 | ||
| - **ends** (int|list|tuple) - 嵌入的截止索引。别名 ``end``。 | ||
| - **strides** (int|list|tuple) - 嵌入的步长。别名 ``step``。 |
|
|
||
| 返回 | ||
| :::::::::::: | ||
| Tensor，输出掩码，数据的 shape 大小及数据类型和输入 ``x`` 一致。 |
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…t/tril_indices/triu_indices/vander/logaddexp/logspace/moveaxis/nan_to_num/nanmean/nansum/masked_fill Edit By AI Agent Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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API Compatibility Edit By AI Agent：
torch.select_scatter
torch.sgn
torch.signbit
torch.slice_scatter
torch.tensordot
torch.tril_indices
torch.triu_indices
torch.vander
torch.logaddexp
torch.logspace
torch.moveaxis
torch.nan_to_num
torch.nanmean
torch.nansum
torch.masked_fill