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PaddleDetection
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9397a2e0
编写于
6月 15, 2018
作者:
Y
yi.wu
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电子邮件补丁
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fix format
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3380737c
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2
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3 addition
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6 deletion
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-6
python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
+1
-4
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+2
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未找到文件。
python/paddle/fluid/layers/io.py
浏览文件 @
9397a2e0
...
@@ -109,7 +109,7 @@ class BlockGuardServ(BlockGuard):
...
@@ -109,7 +109,7 @@ class BlockGuardServ(BlockGuard):
class
ListenAndServ
(
object
):
class
ListenAndServ
(
object
):
"""
"""
**
*ListenAndServ Layer*
**
**
ListenAndServ Layer
**
ListenAndServ is used to create a rpc server bind and listen
ListenAndServ is used to create a rpc server bind and listen
on specific TCP port, this server will run the sub-block when
on specific TCP port, this server will run the sub-block when
...
@@ -121,9 +121,6 @@ class ListenAndServ(object):
...
@@ -121,9 +121,6 @@ class ListenAndServ(object):
fan_in(int): how many client are expected to report to this server, default: 1.
fan_in(int): how many client are expected to report to this server, default: 1.
optimizer_mode(bool): whether to run the server as a parameter server, default: True.
optimizer_mode(bool): whether to run the server as a parameter server, default: True.
Returns:
None
Examples:
Examples:
.. code-block:: python
.. code-block:: python
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
9397a2e0
...
@@ -1049,7 +1049,7 @@ def chunk_eval(input,
...
@@ -1049,7 +1049,7 @@ def chunk_eval(input,
num_chunk_types
,
num_chunk_types
,
excluded_chunk_types
=
None
):
excluded_chunk_types
=
None
):
"""
"""
**
*Chunk Evaluator*
**
**
Chunk Evaluator
**
This function computes and outputs the precision, recall and
This function computes and outputs the precision, recall and
F1-score of chunk detection.
F1-score of chunk detection.
...
@@ -1883,7 +1883,7 @@ def conv2d_transpose(input,
...
@@ -1883,7 +1883,7 @@ def conv2d_transpose(input,
act
=
None
,
act
=
None
,
name
=
None
):
name
=
None
):
"""
"""
**
*Convlution2D Transpose Layer**
**
**
Convlution2D Transpose Layer
**
The convolution2D transpose layer calculates the output based on the input,
The convolution2D transpose layer calculates the output based on the input,
filter, and dilations, strides, paddings. Input(Input) and output(Output)
filter, and dilations, strides, paddings. Input(Input) and output(Output)
...
...
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