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体验新版 GitCode,发现更多精彩内容 >>
提交
8266546e
编写于
6月 20, 2017
作者:
Q
qingqing01
提交者:
GitHub
6月 20, 2017
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差异文件
Merge pull request #2480 from emailweixu/repeat_layer
Repeat layer for column vector
上级
09f34c4b
f4853510
变更
14
显示空白变更内容
内联
并排
Showing
14 changed file
with
196 addition
and
112 deletion
+196
-112
paddle/gserver/layers/FeatureMapExpandLayer.cpp
paddle/gserver/layers/FeatureMapExpandLayer.cpp
+54
-24
paddle/gserver/tests/test_LayerGrad.cpp
paddle/gserver/tests/test_LayerGrad.cpp
+9
-6
python/paddle/trainer/config_parser.py
python/paddle/trainer/config_parser.py
+19
-44
python/paddle/trainer_config_helpers/layers.py
python/paddle/trainer_config_helpers/layers.py
+30
-7
python/paddle/trainer_config_helpers/tests/configs/file_list.sh
.../paddle/trainer_config_helpers/tests/configs/file_list.sh
+1
-1
python/paddle/trainer_config_helpers/tests/configs/protostr/last_first_seq.protostr
...ig_helpers/tests/configs/protostr/last_first_seq.protostr
+6
-6
python/paddle/trainer_config_helpers/tests/configs/protostr/shared_gru.protostr
...config_helpers/tests/configs/protostr/shared_gru.protostr
+2
-2
python/paddle/trainer_config_helpers/tests/configs/protostr/shared_lstm.protostr
...onfig_helpers/tests/configs/protostr/shared_lstm.protostr
+2
-2
python/paddle/trainer_config_helpers/tests/configs/protostr/simple_rnn_layers.protostr
...helpers/tests/configs/protostr/simple_rnn_layers.protostr
+6
-6
python/paddle/trainer_config_helpers/tests/configs/protostr/test_repeat_layer.protostr
...helpers/tests/configs/protostr/test_repeat_layer.protostr
+42
-0
python/paddle/trainer_config_helpers/tests/configs/protostr/test_rnn_group.protostr
...ig_helpers/tests/configs/protostr/test_rnn_group.protostr
+6
-6
python/paddle/trainer_config_helpers/tests/configs/protostr/test_seq_concat_reshape.protostr
...s/tests/configs/protostr/test_seq_concat_reshape.protostr
+1
-1
python/paddle/trainer_config_helpers/tests/configs/protostr/test_sequence_pooling.protostr
...ers/tests/configs/protostr/test_sequence_pooling.protostr
+7
-7
python/paddle/trainer_config_helpers/tests/configs/test_repeat_layer.py
...trainer_config_helpers/tests/configs/test_repeat_layer.py
+11
-0
未找到文件。
paddle/gserver/layers/FeatureMapExpandLayer.cpp
浏览文件 @
8266546e
...
...
@@ -40,6 +40,7 @@ namespace paddle {
class
FeatureMapExpandLayer
:
public
Layer
{
private:
int
numFilters_
;
bool
asRowVector_
;
public:
explicit
FeatureMapExpandLayer
(
const
LayerConfig
&
config
)
:
Layer
(
config
)
{}
...
...
@@ -62,6 +63,7 @@ bool FeatureMapExpandLayer::init(const LayerMap& layerMap,
CHECK_EQ
(
inputLayers_
.
size
(),
1UL
);
numFilters_
=
config_
.
num_filters
();
asRowVector_
=
config_
.
user_arg
()
!=
"as_col_vec"
;
return
true
;
}
...
...
@@ -76,6 +78,7 @@ void FeatureMapExpandLayer::forward(PassType passType) {
{
AsyncGpuBlock
asyncGpuBlock
;
if
(
asRowVector_
)
{
for
(
size_t
i
=
0
;
i
<
batchSize
;
i
++
)
{
MatrixPtr
outVTmp
=
Matrix
::
create
(
outputV
->
getData
()
+
i
*
imgSize
*
numFilters_
,
...
...
@@ -87,6 +90,19 @@ void FeatureMapExpandLayer::forward(PassType passType) {
inputV
->
getData
()
+
i
*
imgSize
,
1
,
imgSize
,
false
,
useGpu_
);
outVTmp
->
addRowVector
(
*
inVTmp
);
}
}
else
{
for
(
size_t
i
=
0
;
i
<
batchSize
;
i
++
)
{
MatrixPtr
outVTmp
=
Matrix
::
create
(
outputV
->
getData
()
+
i
*
imgSize
*
numFilters_
,
imgSize
,
numFilters_
,
false
,
useGpu_
);
MatrixPtr
inVTmp
=
Matrix
::
create
(
inputV
->
getData
()
+
i
*
imgSize
,
imgSize
,
1
,
false
,
useGpu_
);
outVTmp
->
addColVector
(
*
inVTmp
);
}
}
}
/* activation */
{
REGISTER_TIMER_INFO
(
"FwAtvTimer"
,
getName
().
c_str
());
...
...
@@ -102,8 +118,13 @@ void FeatureMapExpandLayer::backward(const UpdateCallback& callback) {
MatrixPtr
outGrad
=
getOutputGrad
();
size_t
batchSize
=
getInput
(
0
).
getBatchSize
();
int
imgSize
=
inGrad
->
getWidth
();
/* Do activation */
{
REGISTER_TIMER_INFO
(
"BpAvtTimer"
,
getName
().
c_str
());
backwardActivation
();
}
{
AsyncGpuBlock
asyncGpuBlock
;
if
(
asRowVector_
)
{
for
(
size_t
i
=
0
;
i
<
batchSize
;
i
++
)
{
MatrixPtr
outGradTmp
=
Matrix
::
create
(
outGrad
->
getData
()
+
i
*
imgSize
*
numFilters_
,
...
...
@@ -115,10 +136,19 @@ void FeatureMapExpandLayer::backward(const UpdateCallback& callback) {
inGrad
->
getData
()
+
i
*
imgSize
,
1
,
imgSize
,
false
,
useGpu_
);
inGradTmp
->
collectBias
(
*
outGradTmp
,
1
);
}
}
else
{
for
(
size_t
i
=
0
;
i
<
batchSize
;
i
++
)
{
MatrixPtr
outGradTmp
=
Matrix
::
create
(
outGrad
->
getData
()
+
i
*
imgSize
*
numFilters_
,
imgSize
,
numFilters_
,
false
,
useGpu_
);
MatrixPtr
inGradTmp
=
Matrix
::
create
(
inGrad
->
getData
()
+
i
*
imgSize
,
imgSize
,
1
,
false
,
useGpu_
);
inGradTmp
->
sumRows
(
*
outGradTmp
,
1
,
1
);
}
}
/* Do derivation */
{
REGISTER_TIMER_INFO
(
"BpAvtTimer"
,
getName
().
c_str
());
backwardActivation
();
}
}
...
...
paddle/gserver/tests/test_LayerGrad.cpp
浏览文件 @
8266546e
...
...
@@ -1598,6 +1598,8 @@ TEST(Layer, FeatureMapExpandLayer) {
/* paraSize= */
0
});
config
.
layerConfig
.
add_inputs
();
for
(
auto
useGpu
:
{
false
,
true
})
{
for
(
auto
asRowVec
:
{
false
,
true
})
{
config
.
layerConfig
.
set_user_arg
(
asRowVec
?
"as_row_vec"
:
"as_col_vec"
);
testLayerGrad
(
config
,
"featmap_expand"
,
/*batch_size*/
100
,
...
...
@@ -1605,6 +1607,7 @@ TEST(Layer, FeatureMapExpandLayer) {
useGpu
,
/* useWeight */
true
);
}
}
}
TEST
(
Layer
,
MultiplexLayer
)
{
...
...
python/paddle/trainer/config_parser.py
浏览文件 @
8266546e
...
...
@@ -1926,7 +1926,6 @@ class BatchNormLayer(LayerBase):
def
__init__
(
self
,
name
,
inputs
,
active_type
=
"linear"
,
bias
=
True
,
use_global_stats
=
True
,
moving_average_fraction
=
0.9
,
...
...
@@ -1964,12 +1963,7 @@ class BatchNormLayer(LayerBase):
cudnn_version
>=
4007
self
.
layer_type
=
"cudnn_batch_norm"
if
use_cudnn
else
"batch_norm"
super
(
BatchNormLayer
,
self
).
__init__
(
name
,
self
.
layer_type
,
0
,
active_type
=
active_type
,
inputs
=
inputs
,
**
xargs
)
name
,
self
.
layer_type
,
0
,
inputs
=
inputs
,
**
xargs
)
if
use_global_stats
is
not
None
:
self
.
config
.
use_global_stats
=
use_global_stats
...
...
@@ -2377,15 +2371,23 @@ class ExpandLayer(LayerBase):
@
config_layer
(
'featmap_expand'
)
class
FeatMapExpandLayer
(
LayerBase
):
def
__init__
(
self
,
name
,
inputs
,
device
=
None
,
num_filters
=
None
,
bias
=
False
):
def
__init__
(
self
,
name
,
inputs
,
num_filters
=
None
,
as_row_vector
=
True
,
bias
=
False
,
**
xargs
):
super
(
FeatMapExpandLayer
,
self
).
__init__
(
name
,
'featmap_expand'
,
0
,
inputs
=
inputs
,
device
=
device
)
name
,
'featmap_expand'
,
0
,
inputs
=
inputs
,
**
xargs
)
config_assert
(
len
(
self
.
inputs
)
==
1
,
'ExpandLayer takes 1 and only 1 inputs'
)
if
num_filters
is
not
None
:
self
.
config
.
num_filters
=
num_filters
else
:
logger
.
fatal
(
"FeatMapExpandLayer must specify num_filters."
)
if
not
as_row_vector
:
self
.
config
.
user_arg
=
"as_col_vec"
self
.
set_layer_size
(
self
.
get_input_layer
(
0
).
size
*
num_filters
)
...
...
@@ -2395,14 +2397,12 @@ class MaxLayer(LayerBase):
name
,
inputs
,
trans_type
=
'non-seq'
,
active_type
=
'linear'
,
bias
=
False
,
output_max_index
=
None
,
**
xargs
):
super
(
MaxLayer
,
self
).
__init__
(
name
,
'max'
,
0
,
inputs
=
inputs
,
**
xargs
)
config_assert
(
len
(
self
.
inputs
)
==
1
,
'MaxLayer must have 1 input'
)
self
.
config
.
trans_type
=
trans_type
self
.
config
.
active_type
=
active_type
for
input_index
in
xrange
(
len
(
self
.
inputs
)):
input_layer
=
self
.
get_input_layer
(
input_index
)
self
.
set_layer_size
(
input_layer
.
size
)
...
...
@@ -2444,18 +2444,12 @@ class SequenceLastInstanceLayer(LayerBase):
def
__init__
(
self
,
name
,
inputs
,
active_type
=
'linear'
,
trans_type
=
'non-seq'
,
bias
=
False
,
stride
=-
1
,
**
xargs
):
super
(
SequenceLastInstanceLayer
,
self
).
__init__
(
name
,
'seqlastins'
,
0
,
inputs
=
inputs
,
active_type
=
active_type
,
**
xargs
)
name
,
'seqlastins'
,
0
,
inputs
=
inputs
,
**
xargs
)
config_assert
(
len
(
inputs
)
==
1
,
'SequenceLastInstanceLayer must have 1 input'
)
if
trans_type
==
'seq'
:
...
...
@@ -2471,7 +2465,6 @@ class SequenceFirstInstanceLayer(SequenceLastInstanceLayer):
def
__init__
(
self
,
name
,
inputs
,
active_type
=
'linear'
,
trans_type
=
'non-seq'
,
bias
=
False
,
stride
=-
1
,
...
...
@@ -2479,7 +2472,6 @@ class SequenceFirstInstanceLayer(SequenceLastInstanceLayer):
super
(
SequenceFirstInstanceLayer
,
self
).
__init__
(
name
,
inputs
=
inputs
,
active_type
=
active_type
,
trans_type
=
trans_type
,
bias
=
bias
,
stride
=
stride
,
...
...
@@ -2489,14 +2481,9 @@ class SequenceFirstInstanceLayer(SequenceLastInstanceLayer):
@
config_layer
(
'seqconcat'
)
class
SequenceConcatLayer
(
LayerBase
):
def
__init__
(
self
,
name
,
inputs
,
active_type
=
'linear'
,
bias
=
False
,
**
xargs
):
def
__init__
(
self
,
name
,
inputs
,
bias
=
False
,
**
xargs
):
super
(
SequenceConcatLayer
,
self
).
__init__
(
name
,
'seqconcat'
,
0
,
inputs
=
inputs
,
active_type
=
active_type
,
**
xargs
)
name
,
'seqconcat'
,
0
,
inputs
=
inputs
,
**
xargs
)
config_assert
(
len
(
inputs
)
==
2
,
'SequenceConcatLayer must have 2 inputs'
)
for
input_index
in
xrange
(
len
(
self
.
inputs
)):
...
...
@@ -2507,20 +2494,9 @@ class SequenceConcatLayer(LayerBase):
@
config_layer
(
'seqreshape'
)
class
SequenceReshapeLayer
(
LayerBase
):
def
__init__
(
self
,
name
,
size
,
inputs
,
active_type
=
'linear'
,
bias
=
False
,
**
xargs
):
def
__init__
(
self
,
name
,
size
,
inputs
,
bias
=
False
,
**
xargs
):
super
(
SequenceReshapeLayer
,
self
).
__init__
(
name
,
'seqreshape'
,
size
,
inputs
=
inputs
,
active_type
=
active_type
,
**
xargs
)
name
,
'seqreshape'
,
size
,
inputs
=
inputs
,
**
xargs
)
config_assert
(
len
(
inputs
)
==
1
,
'SequenceReshapeLayer must have 1 inputs'
)
self
.
set_layer_size
(
size
)
...
...
@@ -2529,9 +2505,9 @@ class SequenceReshapeLayer(LayerBase):
@
config_layer
(
'subseq'
)
class
SubSequenceLayer
(
LayerBase
):
def
__init__
(
self
,
name
,
inputs
,
active_type
=
'linear'
,
bias
=
False
,
**
xargs
):
def
__init__
(
self
,
name
,
inputs
,
bias
=
False
,
**
xargs
):
super
(
SubSequenceLayer
,
self
).
__init__
(
name
,
'subseq'
,
0
,
inputs
=
inputs
,
active_type
=
active_type
,
**
xargs
)
name
,
'subseq'
,
0
,
inputs
=
inputs
,
**
xargs
)
config_assert
(
len
(
inputs
)
==
3
,
'SubSequenceLayer must have 3 inputs'
)
input_layer0
=
self
.
get_input_layer
(
0
)
size
=
input_layer0
.
size
...
...
@@ -2687,11 +2663,10 @@ class AverageLayer(LayerBase):
inputs
,
average_strategy
=
'average'
,
trans_type
=
'non-seq'
,
active_type
=
'linear'
,
bias
=
False
,
**
xargs
):
super
(
AverageLayer
,
self
).
__init__
(
name
,
'average'
,
0
,
inputs
=
inputs
,
active_type
=
active_type
,
**
xargs
)
name
,
'average'
,
0
,
inputs
=
inputs
,
**
xargs
)
self
.
config
.
average_strategy
=
average_strategy
self
.
config
.
trans_type
=
trans_type
config_assert
(
len
(
inputs
)
==
1
,
'AverageLayer must have 1 input'
)
...
...
python/paddle/trainer_config_helpers/layers.py
浏览文件 @
8266546e
...
...
@@ -1553,14 +1553,24 @@ def expand_layer(input,
@
wrap_name_default
()
@
wrap_act_default
(
act
=
IdentityActivation
())
@
layer_support
()
def
repeat_layer
(
input
,
num_repeats
,
name
=
None
,
layer_attr
=
None
):
def
repeat_layer
(
input
,
num_repeats
,
as_row_vector
=
True
,
act
=
None
,
name
=
None
,
layer_attr
=
None
):
"""
A layer for repeating the input for num_repeats times. This is equivalent
to apply concat_layer() with num_repeats same input.
A layer for repeating the input for num_repeats times.
If as_row_vector:
.. math::
y = [x, x, \cdots, x]
y = [x_1,\cdots, x_n, \cdots, x_1, \cdots, x_n]
If not as_row_vector:
.. math::
y = [x_1,\cdots, x_1, \cdots, x_n, \cdots, x_n]
The example usage is:
...
...
@@ -1573,6 +1583,14 @@ def repeat_layer(input, num_repeats, name=None, layer_attr=None):
:param num_repeats: Repeat the input so many times
:type num_repeats: int
:param name: Layer name.
:param as_row_vector: True for treating input as row vector and repeating
in the column direction. This is equivalent to apply
concat_layer() with num_repeats same input.
False for treating input as column vector and repeating
in the row direction.
:type as_row_vector: bool
:param act: Activation type.
:type act: BaseActivation
:type name: basestring
:param layer_attr: extra layer attributes.
:type layer_attr: ExtraLayerAttribute.
...
...
@@ -1583,13 +1601,16 @@ def repeat_layer(input, num_repeats, name=None, layer_attr=None):
l
=
Layer
(
inputs
=
[
input
.
name
],
name
=
name
,
active_type
=
act
.
name
,
num_filters
=
num_repeats
,
as_row_vector
=
as_row_vector
,
type
=
LayerType
.
FEATURE_MAP_EXPAND_LAYER
,
**
ExtraAttr
.
to_kwargs
(
layer_attr
))
return
LayerOutput
(
name
=
name
,
size
=
l
.
config
.
size
,
layer_type
=
LayerType
.
FEATURE_MAP_EXPAND_LAYER
,
activation
=
act
,
parents
=
[
input
])
...
...
@@ -2834,11 +2855,13 @@ def seq_concat_layer(a, b, act=None, name=None, layer_attr=None,
Concat sequence a with sequence b.
Inputs:
- a = [a1, a2, ..., a
n
]
- a = [a1, a2, ..., a
m
]
- b = [b1, b2, ..., bn]
- Note that the length of a and b should be the same.
Output: [a1, b1, a2, b2, ..., an, bn]
Output: [a1, ..., am, b1, ..., bn]
Note that the above computation is for one sample. Multiple samples are
processed in one batch.
The example usage is:
...
...
python/paddle/trainer_config_helpers/tests/configs/file_list.sh
浏览文件 @
8266546e
#!/bin/bash
export
configs
=(
test_fc layer_activations projections test_print_layer
export
configs
=(
test_
repeat_layer test_
fc layer_activations projections test_print_layer
test_sequence_pooling test_lstmemory_layer test_grumemory_layer
last_first_seq test_expand_layer test_ntm_layers test_hsigmoid
img_layers img_trans_layers util_layers simple_rnn_layers unused_layers test_cost_layers
...
...
python/paddle/trainer_config_helpers/tests/configs/protostr/last_first_seq.protostr
浏览文件 @
8266546e
...
...
@@ -9,7 +9,7 @@ layers {
name: "__first_seq_0__"
type: "seqlastins"
size: 30
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "data"
}
...
...
@@ -21,7 +21,7 @@ layers {
name: "__first_seq_1__"
type: "seqlastins"
size: 30
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "data"
}
...
...
@@ -33,7 +33,7 @@ layers {
name: "__last_seq_0__"
type: "seqlastins"
size: 30
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "data"
}
...
...
@@ -44,7 +44,7 @@ layers {
name: "__last_seq_1__"
type: "seqlastins"
size: 30
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "data"
}
...
...
@@ -55,7 +55,7 @@ layers {
name: "__first_seq_2__"
type: "seqlastins"
size: 30
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "data"
}
...
...
@@ -67,7 +67,7 @@ layers {
name: "__last_seq_2__"
type: "seqlastins"
size: 30
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "data"
}
...
...
python/paddle/trainer_config_helpers/tests/configs/protostr/shared_gru.protostr
浏览文件 @
8266546e
...
...
@@ -123,7 +123,7 @@ layers {
name: "__last_seq_0__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__simple_gru_0__"
}
...
...
@@ -134,7 +134,7 @@ layers {
name: "__last_seq_1__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__simple_gru_1__"
}
...
...
python/paddle/trainer_config_helpers/tests/configs/protostr/shared_lstm.protostr
浏览文件 @
8266546e
...
...
@@ -205,7 +205,7 @@ layers {
name: "__last_seq_0__"
type: "seqlastins"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__lstm_group_0__"
}
...
...
@@ -216,7 +216,7 @@ layers {
name: "__last_seq_1__"
type: "seqlastins"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__lstm_group_1__"
}
...
...
python/paddle/trainer_config_helpers/tests/configs/protostr/simple_rnn_layers.protostr
浏览文件 @
8266546e
...
...
@@ -138,7 +138,7 @@ layers {
name: "__last_seq_0__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__recurrent_layer_0__"
}
...
...
@@ -149,7 +149,7 @@ layers {
name: "__first_seq_0__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__recurrent_layer_1__"
}
...
...
@@ -161,7 +161,7 @@ layers {
name: "__last_seq_1__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__lstmemory_0__"
}
...
...
@@ -172,7 +172,7 @@ layers {
name: "__first_seq_1__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__lstmemory_1__"
}
...
...
@@ -184,7 +184,7 @@ layers {
name: "__last_seq_2__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__gru_0__"
}
...
...
@@ -195,7 +195,7 @@ layers {
name: "__first_seq_2__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__gru_1__"
}
...
...
python/paddle/trainer_config_helpers/tests/configs/protostr/test_repeat_layer.protostr
0 → 100644
浏览文件 @
8266546e
type: "nn"
layers {
name: "data"
type: "data"
size: 30
active_type: ""
}
layers {
name: "__repeat_layer_0__"
type: "featmap_expand"
size: 300
active_type: ""
inputs {
input_layer_name: "data"
}
num_filters: 10
}
layers {
name: "__repeat_layer_1__"
type: "featmap_expand"
size: 300
active_type: "tanh"
inputs {
input_layer_name: "data"
}
num_filters: 10
user_arg: "as_col_vec"
}
input_layer_names: "data"
output_layer_names: "__repeat_layer_0__"
output_layer_names: "__repeat_layer_1__"
sub_models {
name: "root"
layer_names: "data"
layer_names: "__repeat_layer_0__"
layer_names: "__repeat_layer_1__"
input_layer_names: "data"
output_layer_names: "__repeat_layer_0__"
output_layer_names: "__repeat_layer_1__"
is_recurrent_layer_group: false
}
python/paddle/trainer_config_helpers/tests/configs/protostr/test_rnn_group.protostr
浏览文件 @
8266546e
...
...
@@ -91,7 +91,7 @@ layers {
name: "__last_seq_0__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "rnn_forward"
}
...
...
@@ -140,7 +140,7 @@ layers {
name: "__first_seq_0__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "rnn_back"
}
...
...
@@ -190,7 +190,7 @@ layers {
name: "__last_seq_1__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "rnn_subseq_forward"
}
...
...
@@ -280,7 +280,7 @@ layers {
name: "__last_seq_2__"
type: "seqlastins"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__lstm_group_0__"
}
...
...
@@ -329,7 +329,7 @@ layers {
name: "__last_seq_3__"
type: "seqlastins"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__gru_group_0__"
}
...
...
@@ -378,7 +378,7 @@ layers {
name: "__last_seq_4__"
type: "seqlastins"
size: 200
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "__fc_layer_0__"
}
...
...
python/paddle/trainer_config_helpers/tests/configs/protostr/test_seq_concat_reshape.protostr
浏览文件 @
8266546e
...
...
@@ -27,7 +27,7 @@ layers {
name: "__seqreshape_0__"
type: "seqreshape"
size: 5
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "data1"
}
...
...
python/paddle/trainer_config_helpers/tests/configs/protostr/test_sequence_pooling.protostr
浏览文件 @
8266546e
...
...
@@ -9,7 +9,7 @@ layers {
name: "__seq_pooling_0__"
type: "max"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "dat_in"
}
...
...
@@ -19,7 +19,7 @@ layers {
name: "__seq_pooling_1__"
type: "max"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "dat_in"
}
...
...
@@ -29,7 +29,7 @@ layers {
name: "__seq_pooling_2__"
type: "average"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "dat_in"
}
...
...
@@ -40,7 +40,7 @@ layers {
name: "__seq_pooling_3__"
type: "average"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "dat_in"
}
...
...
@@ -51,7 +51,7 @@ layers {
name: "__seq_pooling_4__"
type: "average"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "dat_in"
}
...
...
@@ -62,7 +62,7 @@ layers {
name: "__seq_pooling_5__"
type: "average"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "dat_in"
}
...
...
@@ -73,7 +73,7 @@ layers {
name: "__seq_pooling_6__"
type: "max"
size: 100
active_type: "
linear
"
active_type: ""
inputs {
input_layer_name: "dat_in"
}
...
...
python/paddle/trainer_config_helpers/tests/configs/test_repeat_layer.py
0 → 100644
浏览文件 @
8266546e
from
paddle.trainer_config_helpers
import
*
settings
(
batch_size
=
1000
,
learning_rate
=
1e-5
)
din
=
data_layer
(
name
=
'data'
,
size
=
30
)
outputs
(
repeat_layer
(
input
=
din
,
num_repeats
=
10
,
as_row_vector
=
True
),
repeat_layer
(
input
=
din
,
num_repeats
=
10
,
act
=
TanhActivation
(),
as_row_vector
=
False
))
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