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体验新版 GitCode,发现更多精彩内容 >>
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4907ed3e
编写于
6月 18, 2018
作者:
Q
qiaolongfei
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电子邮件补丁
差异文件
add doc for Constant Uniform and Normal initializer
上级
323a0483
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1
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1 changed file
with
32 addition
and
20 deletion
+32
-20
python/paddle/fluid/initializer.py
python/paddle/fluid/initializer.py
+32
-20
未找到文件。
python/paddle/fluid/initializer.py
浏览文件 @
4907ed3e
...
...
@@ -105,14 +105,18 @@ class Initializer(object):
class
ConstantInitializer
(
Initializer
):
"""Implements the constant initializer
Args:
value (float): constant value to initialize the variable
Examples:
.. code-block:: python
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Constant(value=2.0))
"""
def
__init__
(
self
,
value
=
0.0
,
force_cpu
=
False
):
"""Constructor for ConstantInitializer
Args:
value: constant value to initialize the variable
"""
assert
value
is
not
None
super
(
ConstantInitializer
,
self
).
__init__
()
self
.
_value
=
value
...
...
@@ -147,16 +151,20 @@ class ConstantInitializer(Initializer):
class
UniformInitializer
(
Initializer
):
"""Implements the random uniform distribution initializer
Args:
low (float): lower boundary of the uniform distribution
high (float): upper boundary of the uniform distribution
seed (int): random seed
Examples:
.. code-block:: python
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Uniform(low=-0.5, high=0.5))
"""
def
__init__
(
self
,
low
=-
1.0
,
high
=
1.0
,
seed
=
0
):
"""Constructor for UniformInitializer
Args:
low: lower boundary of the uniform distribution
high: upper boundary of the uniform distribution
seed: random seed
"""
assert
low
is
not
None
assert
high
is
not
None
assert
high
>=
low
...
...
@@ -197,17 +205,21 @@ class UniformInitializer(Initializer):
class
NormalInitializer
(
Initializer
):
"""Implements the random Normal(Gaussian) distribution initializer
"""Implements the Random Normal(Gaussian) distribution initializer
Args:
loc (float): mean of the normal distribution
scale (float): standard deviation of the normal distribution
seed (int): random seed
Examples:
.. code-block:: python
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Normal(loc=0.0, scale=2.0))
"""
def
__init__
(
self
,
loc
=
0.0
,
scale
=
1.0
,
seed
=
0
):
"""Constructor for NormalInitializer
Args:
loc: mean of the normal distribution
scale: standard deviation of the normal distribution
seed: random seed
"""
assert
loc
is
not
None
assert
scale
is
not
None
assert
seed
is
not
None
...
...
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