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体验新版 GitCode,发现更多精彩内容 >>
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1f0fa675
编写于
11月 22, 2018
作者:
Z
ZhenWang
浏览文件
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电子邮件补丁
差异文件
add some activation api examples.
上级
dd6fd4c7
变更
1
隐藏空白更改
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Showing
1 changed file
with
44 addition
and
2 deletion
+44
-2
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+44
-2
未找到文件。
python/paddle/fluid/layers/nn.py
浏览文件 @
1f0fa675
...
...
@@ -6833,6 +6833,13 @@ def elu(x, alpha=1.0, name=None):
Returns:
output(${out_type}): ${out_comment}
Examples:
.. code-block:: python
x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
y = fluid.layers.elu(x, alpha=0.2)
"""
helper
=
LayerHelper
(
'elu'
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
...
@@ -6856,6 +6863,13 @@ def relu6(x, threshold=6.0, name=None):
Returns:
output(${out_type}): ${out_comment}
Examples:
.. code-block:: python
x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
y = fluid.layers.relu6(x, threshold=6.0)
"""
helper
=
LayerHelper
(
'relu6'
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
...
@@ -6879,6 +6893,13 @@ def pow(x, factor=1.0, name=None):
Returns:
output(${out_type}): ${out_comment}
Examples:
.. code-block:: python
x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
y = fluid.layers.pow(x, factor=2.0)
"""
helper
=
LayerHelper
(
'pow'
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
...
@@ -6903,6 +6924,13 @@ def stanh(x, scale_a=2.0 / 3.0, scale_b=1.7159, name=None):
Returns:
output(${out_type}): ${out_comment}
Examples:
.. code-block:: python
x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
y = fluid.layers.stanh(x, scale_a=0.6667, scale_b=1.7159)
"""
helper
=
LayerHelper
(
'stanh'
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
...
@@ -6928,6 +6956,13 @@ def hard_sigmoid(x, slope=0.2, offset=0.5, name=None):
Returns:
output(${out_type}): ${out_comment}
Examples:
.. code-block:: python
x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
y = fluid.layers.hard_sigmoid(x, slope=0.3, offset=0.8)
"""
helper
=
LayerHelper
(
'hard_sigmoid'
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
...
@@ -6952,6 +6987,13 @@ def swish(x, beta=1.0, name=None):
Returns:
output(${out_type}): ${out_comment}
Examples:
.. code-block:: python
x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32")
y = fluid.layers.swish(x, beta=1.2)
"""
helper
=
LayerHelper
(
'swish'
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
x
.
dtype
)
...
...
@@ -6988,8 +7030,8 @@ def prelu(x, mode, param_attr=None, name=None):
.. code-block:: python
x = fluid.layers.data(name="x", shape=[10,10], dtype="float32")
mode = 'channel'
output = fluid.layers.prelu(x,mode)
mode = 'channel'
output = fluid.layers.prelu(x,mode)
"""
helper
=
LayerHelper
(
'prelu'
,
**
locals
())
if
mode
not
in
[
'all'
,
'channel'
,
'element'
]:
...
...
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