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update interpolate api doc #7613

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update interpolate api doc
Hz188 Nov 6, 2025
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Merge branch 'develop' into develop
Echo-Nie Nov 6, 2025
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Merge branch 'develop' into develop
Hz188 Nov 7, 2025
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3 changes: 2 additions & 1 deletion docs/api/paddle/nn/functional/interpolate_cn.rst
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Expand Up @@ -3,7 +3,7 @@
interpolate
-------------------------------

.. py:function:: paddle.nn.functional.interpolate(x, size=None, scale_factor=None, mode='nearest', align_corners=False, align_mode=0, data_format=None, recompute_scale_factor=None, name=None)
.. py:function:: paddle.nn.functional.interpolate(x, size=None, scale_factor=None, mode='nearest', align_corners=False, align_mode=0, data_format=None, recompute_scale_factor=None, antialias=False, name=None)



Expand Down Expand Up @@ -149,6 +149,7 @@ https://en.wikipedia.org/wiki/Bicubic_interpolation
- **align_mode** (int，可选) - 双线性插值的可选项。可以是 '0' 代表 src_idx = scale *（dst_index + 0.5）-0.5；如果为'1'，代表 src_idx = scale * dst_index。默认值：0。
- **data_format** (str，可选) - 指定输入的数据格式，输出的数据格式将与输入保持一致。支持的值有："NCW"、"NWC"、"NCHW"、"NHWC"、"NCDHW"、"NDHWC"。默认值为 None，此时若输入是 3-D Tensor， ``data_format`` 将默认为"NCW"；若输入是 4—D Tensor, 将默认为"NCHW"；若输入是 5—D Tensor, 将默认为"NCDHW"。
- **recompute_scale_factor** (bool，可选) - 是否在插值计算中重新计算乘数因子。当设置为 True 时，必须提供 scale_factor 参数，函数会用 scale_factor 和输入张量的形状计算输出张量的形状，然后根据输出张量形状和输入张量形状重新计算乘数因子。该参数可用于 scale_factor 为浮点数的情况。当设置为 False 时，将直接使用 size 或 scale_factor 进行插值计算，不进行重新计算。默认值为 None。
- **antialias** (bool，可选) - 应用抗锯齿功能的选项。默认值：False。将抗锯齿选项与 ``align_corners=False`` 一起使用时，插值结果将与 Pillow 在下采样操作中的结果相匹配。支持的模式：'bilinear'，'bicubic'。
- **name** (str，可选) - 具体用法请参见 :ref:`api_guide_Name`，一般无需设置，默认值为 None。

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