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修复 paddle.nn.initializer.TruncatedNormal 文档 #4844

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May 30, 2022
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修复 paddle.nn.initializer.TruncatedNormal 文档 #4844

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32 changes: 6 additions & 26 deletions docs/api/paddle/nn/initializer/TruncatedNormal_cn.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -6,38 +6,18 @@ TruncatedNormal
.. py:class:: paddle.nn.initializer.TruncatedNormal(mean=0.0, std=1.0, name=None)


随机截断正态（高斯）分布初始化函数。
截断正态分布（高斯分布）初始化方法。

参数
- **mean** (float，可选) - 正态分布的平均值。默认值为 0。
- **std** (float，可选) - 正态分布的标准差。默认值为 1.0。
- **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。
- **mean** (float，可选) - 正态分布的均值，默认值为 :math:`0.0`。
- **std** (float，可选) - 正态分布的标准差，默认值为 :math:`1.0`。
- **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。

返回
::::::::::::

由随机截断正态（高斯）分布初始化的参数。
由截断正态分布（高斯分布）初始化的参数。

代码示例
::::::::::::

.. code-block:: python

import paddle

data = paddle.ones(shape=[3, 1, 2], dtype='float32')
weight_attr = paddle.framework.ParamAttr(
name="linear_weight",
initializer=paddle.nn.initializer.TruncatedNormal(mean=0.0, std=2.0))
bias_attr = paddle.framework.ParamAttr(
name="linear_bias",
initializer=paddle.nn.initializer.TruncatedNormal(mean=0.0, std=2.0))
linear = paddle.nn.Linear(2, 2, weight_attr=weight_attr, bias_attr=bias_attr)
# linear.weight: [[-1.0981836 1.4140984]
# [ 3.1390522 -2.8266568]]
# linear.bias: [-2.1546738 -1.6570673]

res = linear(data)
# res: [[[-0.11380529 -3.0696259 ]]
# [[-0.11380529 -3.0696259 ]]
# [[-0.11380529 -3.0696259 ]]
COPY-FROM: paddle.nn.initializer.TruncatedNormal:initializer_TruncatedNormal-example