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[API Compatibility] Check & Update cn docs: stage 3 #7927

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[API Compatibility] Check & Update cn docs: stage 3 #7927

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0ecf6f4
fix docs: align API signatures and CN docs with EN sources
Manfredss Aug 18, 2026
83e8241
fix codestyle
Manfredss Aug 18, 2026
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5 changes: 5 additions & 0 deletions docs/api/paddle/Overview_cn.rst
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Expand Up @@ -333,6 +333,7 @@ tensor 属性相关

" :ref:`paddle.iinfo <cn_api_paddle_iinfo>` ", "返回一个 iinfo 对象，该对象包含了输入的整数类 paddle.dtype 的各种相关的数值信息"
" :ref:`paddle.finfo <cn_api_paddle_finfo>` ", "返回一个 finfo 对象，该对象包含了输入的整数类 paddle.dtype 的各种相关的数值信息"
" :ref:`paddle.float8_e5m2 <cn_api_paddle_float8_e5m2>` ", "E5M2 格式的 8 位浮点数据类型"
" :ref:`paddle.imag <cn_api_paddle_imag>` ", "返回一个包含输入复数 Tensor 的虚部数值的新 Tensor"
" :ref:`paddle.real <cn_api_paddle_real>` ", "返回一个包含输入复数 Tensor 的实部数值的新 Tensor"
" :ref:`paddle.shape <cn_api_paddle_shape>` ", "获得输入 Tensor 或 SelectedRows 的 shape"
Expand All @@ -342,6 +343,9 @@ tensor 属性相关
" :ref:`paddle.broadcast_shapes <cn_api_paddle_broadcast_shapes>` ", "返回对多个 shape 做 broadcast 操作后得到的 shape"
" :ref:`paddle.is_floating_point <cn_api_paddle_is_floating_point>` ", "判断输入 Tensor 的数据类型是否为浮点类型"
" :ref:`paddle.Size <cn_api_paddle_Size__upper>` ", "tuple 的子类, paddle.Tensor.size() 的返回类型，用于描述张量的维度大小。"
" :ref:`paddle.uint16 <cn_api_paddle_uint16>` ", "16 位无符号整数数据类型"
" :ref:`paddle.uint32 <cn_api_paddle_uint32>` ", "32 位无符号整数数据类型"
" :ref:`paddle.uint64 <cn_api_paddle_uint64>` ", "64 位无符号整数数据类型"

.. _tensor_creation:

Expand Down Expand Up @@ -549,6 +553,7 @@ tensor 元素操作相关（如：转置，reshape 等）
" :ref:`paddle.swapaxes <cn_api_paddle_swapaxes>` ", "根据 perm 对输入的多维 Tensor 进行数据重排"
" :ref:`paddle.swapdims <cn_api_paddle_swapdims>` ", "根据 perm 对输入的多维 Tensor 进行数据重排"
" :ref:`paddle.moveaxis <cn_api_paddle_moveaxis>` ", "移动 Tensor 的轴，根据移动之后的轴对输入的多维 Tensor 进行数据重排"
" :ref:`paddle.movedim <cn_api_paddle_movedim>` ", "移动 Tensor 的轴，根据移动之后的轴对输入的多维 Tensor 进行数据重排"
" :ref:`paddle.tensordot <cn_api_paddle_tensordot>` ", "沿多个轴对输入的 x 和 y 进行 Tensor 缩并操作"
" :ref:`paddle.unbind <cn_api_paddle_unbind>` ", "将输入 Tensor 按照指定的维度分割成多个子 Tensor"
" :ref:`paddle.unique <cn_api_paddle_unique>` ", "返回 Tensor 按升序排序后的独有元素"
Expand Down
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