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[Cherry-pick, Doc] To Release 2.3, Fix doc of kaiming initializer #43827

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Jun 28, 2022
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[Cherry-pick, Doc] To Release 2.3, Fix doc of kaiming initializer #43827

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10 changes: 4 additions & 6 deletions python/paddle/fluid/initializer.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
Expand Down Expand Up @@ -689,11 +689,9 @@ class MSRAInitializer(Initializer):
\frac{gain}{\sqrt{{fan\_in}}}

Args:
uniform (bool): whether to use uniform or normal distribution
fan_in (float32|None): fan_in (in_features) of trainable Tensor,\
If None, it will be infered automaticly. If you don't want to use in_features of the Tensor,\
you can set the value of 'fan_in' smartly by yourself. default is None.
seed (int32): random seed
uniform (bool, optional): whether to use uniform or normal distribution
fan_in (float32|None, optional): fan_in (in_features) of trainable Tensor, If None, it will be infered automaticly. If you don't want to use in_features of the Tensor, you can set the value of 'fan_in' smartly by yourself. default is None.
seed (int32, optional): random seed.
negative_slope (float, optional): negative_slope (only used with leaky_relu). default is 0.0.
nonlinearity(str, optional): the non-linear function. default is relu.

Expand Down
10 changes: 3 additions & 7 deletions python/paddle/nn/initializer/kaiming.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
Expand Down Expand Up @@ -36,9 +36,7 @@ class KaimingNormal(MSRAInitializer):
\frac{gain}{\sqrt{{fan\_in}}}

Args:
fan_in (float32|None): fan_in (in_features) of trainable Tensor,\
If None, it will be infered automaticly. If you don't want to use in_features of the Tensor,\
you can set the value of 'fan_in' smartly by yourself. default is None.
fan_in (float32|None, optional): fan_in (in_features) of trainable Tensor, If None, it will be infered automaticly. If you don't want to use in_features of the Tensor, you can set the value of 'fan_in' smartly by yourself. default is None.
negative_slope (float, optional): negative_slope (only used with leaky_relu). default is 0.0.
nonlinearity(str, optional): the non-linear function. default is relu.

Expand Down Expand Up @@ -84,9 +82,7 @@ class KaimingUniform(MSRAInitializer):
x = gain \times \sqrt{\frac{3}{fan\_in}}

Args:
fan_in (float32|None): fan_in (in_features) of trainable Tensor,\
If None, it will be infered automaticly. If you don't want to use in_features of the Tensor,\
you can set the value of 'fan_in' smartly by yourself. default is None.
fan_in (float32|None, optional): fan_in (in_features) of trainable Tensor, If None, it will be infered automaticly. If you don't want to use in_features of the Tensor, you can set the value of 'fan_in' smartly by yourself. default is None.
negative_slope (float, optional): negative_slope (only used with leaky_relu). default is 0.0.
nonlinearity(str, optional): the non-linear function. default is relu.

Expand Down