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体验新版 GitCode,发现更多精彩内容 >>
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055df470
编写于
6月 14, 2018
作者:
Y
yuyang18
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电子邮件补丁
差异文件
Polish code
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cbc1b7f1
变更
3
隐藏空白更改
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并排
Showing
3 changed file
with
30 addition
and
10 deletion
+30
-10
paddle/fluid/operators/activation_op.cc
paddle/fluid/operators/activation_op.cc
+5
-4
paddle/fluid/operators/row_conv_op.cc
paddle/fluid/operators/row_conv_op.cc
+1
-1
python/paddle/fluid/layers/ops.py
python/paddle/fluid/layers/ops.py
+24
-5
未找到文件。
paddle/fluid/operators/activation_op.cc
浏览文件 @
055df470
...
...
@@ -275,7 +275,7 @@ class HardShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
"The value of threshold for HardShrink. [default: 0.5]"
)
.
SetDefault
(
0.5
f
);
AddComment
(
R"DOC(
** HardShrink activation operator **
:strong:`HardShrink activation operator`
.. math::
out = \begin{cases}
...
...
@@ -394,15 +394,16 @@ class ThresholdedReluOpMaker : public framework::OpProtoAndCheckerMaker {
void
Make
()
override
{
AddInput
(
"X"
,
"Input of ThresholdedRelu operator"
);
AddOutput
(
"Out"
,
"Output of ThresholdedRelu operator"
);
AddAttr
<
float
>
(
"threshold"
,
"The threshold location of activation"
)
AddAttr
<
float
>
(
"threshold"
,
"The threshold location of activation. [default 1.0]."
)
.
SetDefault
(
1.0
f
);
AddComment
(
R"DOC(
ThresholdedRelu Activation Operator.
:strong:`ThresholdedRelu activation operator`
.. math::
out = \begin{cases}
x, \text{if } x > threshold \\
x,
\text{if } x > threshold \\
0, \text{otherwise}
\end{cases}
)DOC"
);
...
...
paddle/fluid/operators/row_conv_op.cc
浏览文件 @
055df470
...
...
@@ -94,7 +94,7 @@ class RowConvOpMaker : public framework::OpProtoAndCheckerMaker {
"in this LodTensor is a matrix with shape T x N, i.e., the "
"same shape as X."
);
AddComment
(
R"DOC(
** Row-convolution operator **
:strong:`Row-convolution operator`
The row convolution is called lookahead convolution. This operator was
introduced in the following paper for DeepSpeech2:
...
...
python/paddle/fluid/layers/ops.py
浏览文件 @
055df470
...
...
@@ -40,7 +40,6 @@ __activations__ = [
'relu6'
,
'pow'
,
'stanh'
,
'thresholded_relu'
,
'hard_sigmoid'
,
'swish'
,
]
...
...
@@ -91,8 +90,7 @@ def uniform_random(shape, dtype=None, min=None, max=None, seed=None):
return
_uniform_random_
(
**
kwargs
)
uniform_random
.
__doc__
=
_uniform_random_
.
__doc__
+
"
\n
"
\
+
"""
uniform_random
.
__doc__
=
_uniform_random_
.
__doc__
+
"""
Examples:
>>> result = fluid.layers.uniform_random(shape=[32, 784])
...
...
@@ -112,8 +110,7 @@ def hard_shrink(x, threshold=None):
return
_hard_shrink_
(
**
kwargs
)
hard_shrink
.
__doc__
=
_hard_shrink_
.
__doc__
+
"
\n
"
\
+
"""
hard_shrink
.
__doc__
=
_hard_shrink_
.
__doc__
+
"""
Examples:
>>> data = fluid.layers.data(name="input", shape=[784])
...
...
@@ -141,3 +138,25 @@ Examples:
>>> data = fluid.layers.data(name="input", shape=[32, 784])
>>> result = fluid.layers.cumsum(data, axis=0)
"""
__all__
+=
[
'thresholded_relu'
]
_thresholded_relu_
=
generate_layer_fn
(
'thresholded_relu'
)
def
thresholded_relu
(
x
,
threshold
=
None
):
kwargs
=
dict
()
for
name
in
locals
():
val
=
locals
()[
name
]
if
val
is
not
None
:
kwargs
[
name
]
=
val
_thresholded_relu_
(
**
kwargs
)
thresholded_relu
.
__doc__
=
_thresholded_relu_
.
__doc__
+
"""
Examples:
>>> data = fluid.layers.data(name="input", shape=[1])
>>> result = fluid.layers.thresholded_relu(data, threshold=0.4)
"""
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