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67bd4cd6
编写于
11月 22, 2017
作者:
C
chengduo
提交者:
GitHub
11月 22, 2017
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差异文件
Merge pull request #5802 from chengduoZH/reorder_parameter
reorder parameters of layer
上级
f04c97a0
7177c276
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
16 addition
and
16 deletion
+16
-16
python/paddle/v2/fluid/layers.py
python/paddle/v2/fluid/layers.py
+16
-16
未找到文件。
python/paddle/v2/fluid/layers.py
浏览文件 @
67bd4cd6
...
...
@@ -17,13 +17,13 @@ __all__ = [
def
fc
(
input
,
size
,
num_flatten_dims
=
1
,
param_attr
=
None
,
param_initializer
=
None
,
bias_attr
=
None
,
bias_initializer
=
None
,
name
=
None
,
act
=
None
,
n
um_flatten_dims
=
1
,
n
ame
=
None
,
main_program
=
None
,
startup_program
=
None
):
"""
...
...
@@ -32,15 +32,15 @@ def fc(input,
Args:
input: The input tensor to the function
size: The size of the layer
num_flatten_dims: Number of columns in input
param_attr: The parameters/weights to the FC Layer
param_initializer: Initializer used for the weight/parameter.
If None, XavierInitializer() is used
bias_attr: The bias parameter for the FC layer
bias_initializer: Initializer used for the bias.
If None, then ConstantInitializer() is used
name: Name/alias of the function
act: Activation to be applied to the output of FC layer
n
um_flatten_dims: Number of columns in input
n
ame: Name/alias of the function
main_program: Name of the main program that calls this
startup_program: Name of the startup program
...
...
@@ -111,9 +111,9 @@ def fc(input,
def
embedding
(
input
,
size
,
data_type
=
'float32'
,
is_sparse
=
False
,
param_attr
=
None
,
data_type
=
'float32'
,
main_program
=
None
,
startup_program
=
None
):
"""
...
...
@@ -122,9 +122,9 @@ def embedding(input,
Args:
input: The input to the function
size: The size of the layer
data_type: The type of data : float32, float_16, int etc
is_sparse: A flag that decleares whether the input is sparse
param_attr: Parameters for this layer
data_type: The type of data : float32, float_16, int etc
main_program: Name of the main program that calls this
startup_program: Name of the startup program
...
...
@@ -152,7 +152,6 @@ def embedding(input,
# TODO(qijun): expose H0 and C0
def
dynamic_lstm
(
input
,
size
,
data_type
=
'float32'
,
param_attr
=
None
,
bias_attr
=
None
,
use_peepholes
=
True
,
...
...
@@ -160,6 +159,7 @@ def dynamic_lstm(input,
gate_activation
=
'sigmoid'
,
cell_activation
=
'tanh'
,
candidate_activation
=
'tanh'
,
data_type
=
'float32'
,
main_program
=
None
,
startup_program
=
None
):
helper
=
LayerHelper
(
'lstm'
,
**
locals
())
...
...
@@ -200,9 +200,9 @@ def dynamic_lstm(input,
def
data
(
name
,
shape
,
append_batch_size
=
True
,
data_type
=
'float32'
,
type
=
core
.
VarDesc
.
VarType
.
LOD_TENSOR
,
append_batch_size
=
True
,
main_program
=
None
,
startup_program
=
None
,
stop_gradient
=
True
):
...
...
@@ -212,9 +212,9 @@ def data(name,
Args:
name: The name/alias of the function
shape: Tuple declaring the shape.
append_batch_size: Whether or not to append the data as a batch.
data_type: The type of data : float32, float_16, int etc
type: The output type. By default it is LOD_TENSOR.
append_batch_size: Whether or not to append the data as a batch.
main_program: Name of the main program that calls this
startup_program: Name of the startup program
stop_gradient: A boolean that mentions whether gradient should flow.
...
...
@@ -600,12 +600,12 @@ def sequence_conv(input,
num_filters
,
filter_size
=
3
,
filter_stride
=
1
,
act
=
None
,
padding
=
None
,
bias_attr
=
None
,
bias_initializer
=
None
,
param_attr
=
None
,
param_initializer
=
None
,
act
=
None
,
main_program
=
None
,
startup_program
=
None
):
"""
...
...
@@ -658,16 +658,16 @@ def sequence_conv(input,
def
conv2d
(
input
,
num_filters
,
name
=
None
,
filter_size
=
[
1
,
1
],
act
=
None
,
groups
=
None
,
filter_size
,
stride
=
[
1
,
1
],
padding
=
None
,
bias_attr
=
None
,
bias_initializer
=
None
,
groups
=
None
,
param_attr
=
None
,
param_initializer
=
None
,
bias_attr
=
None
,
bias_initializer
=
None
,
act
=
None
,
name
=
None
,
main_program
=
None
,
startup_program
=
None
):
"""
...
...
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