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体验新版 GitCode,发现更多精彩内容 >>
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a9d327bd
编写于
9月 15, 2016
作者:
H
Haonan
提交者:
emailweixu
9月 15, 2016
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add wrapper for out_prod_layer (#83)
上级
df28da76
变更
2
显示空白变更内容
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Showing
2 changed file
with
38 addition
and
2 deletion
+38
-2
python/paddle/trainer_config_helpers/layers.py
python/paddle/trainer_config_helpers/layers.py
+35
-1
python/paddle/trainer_config_helpers/tests/layers_test_config.py
...paddle/trainer_config_helpers/tests/layers_test_config.py
+3
-1
未找到文件。
python/paddle/trainer_config_helpers/layers.py
浏览文件 @
a9d327bd
...
...
@@ -52,7 +52,7 @@ __all__ = ["full_matrix_projection", "AggregateLevel", "ExpandLevel",
'cross_entropy_with_selfnorm'
,
'cross_entropy'
,
'multi_binary_label_cross_entropy'
,
'rank_cost'
,
'lambda_cost'
,
'huber_cost'
,
'block_expand_layer'
,
'block_expand_layer'
,
'out_prod_layer'
,
]
...
...
@@ -93,6 +93,7 @@ class LayerType(object):
POWER_LAYER
=
'power'
SCALING_LAYER
=
'scaling'
TRANS_LAYER
=
'trans'
OUT_PROD_LAYER
=
'out_prod'
MEMORY
=
'memory'
MAXID_LAYER
=
'maxid'
...
...
@@ -2345,6 +2346,39 @@ def maxid_layer(input, name=None, layer_attr=None):
layer_type
=
LayerType
.
MAXID_LAYER
,
parents
=
[
input
])
@
wrap_name_default
()
def
out_prod_layer
(
input1
,
input2
,
name
=
None
,
layer_attr
=
None
):
"""
A layer for computing the outer product of two vectors
The result is a matrix of size(input1) x size(input2)
The example usage is:
.. code-block:: python
out_prod = out_prod_layer(input1=vec1, input2=vec2)
:param name: Layer name.
:type name: basestring
:param input1: The first input layer name.
:type input: LayerOutput
:param input2: The second input layer name.
:type input2: LayerOutput
:param layer_attr: extra layer attributes.
:type layer_attr: ExtraLayerAttribute.
:return: LayerOutput object.
:rtype: LayerOutput
"""
assert
isinstance
(
input1
,
LayerOutput
)
assert
isinstance
(
input2
,
LayerOutput
)
Layer
(
name
=
name
,
type
=
"out_prod"
,
inputs
=
[
input1
.
name
,
input2
.
name
],
**
ExtraLayerAttribute
.
to_kwargs
(
layer_attr
))
return
LayerOutput
(
name
=
name
,
layer_type
=
LayerType
.
OUT_PROD_LAYER
,
parents
=
[
input1
,
input2
])
@
wrap_name_default
()
def
eos_layer
(
input
,
eos_id
,
name
=
None
,
layer_attr
=
None
):
...
...
python/paddle/trainer_config_helpers/tests/layers_test_config.py
浏览文件 @
a9d327bd
...
...
@@ -19,6 +19,8 @@ num_classes = 5
x
=
data_layer
(
name
=
"input1"
,
size
=
3
)
y
=
data_layer
(
name
=
"input2"
,
size
=
5
)
z
=
out_prod_layer
(
input1
=
x
,
input2
=
y
)
x1
=
fc_layer
(
input
=
x
,
size
=
5
)
y1
=
fc_layer
(
input
=
y
,
size
=
5
)
y2
=
fc_layer
(
input
=
y
,
size
=
15
)
...
...
@@ -28,7 +30,7 @@ cos3 = cos_sim(a=x1, b=y2, size=3)
linear_comb
=
linear_comb_layer
(
weights
=
x1
,
vectors
=
y2
,
size
=
3
)
out
=
fc_layer
(
input
=
[
cos1
,
cos3
,
linear_comb
],
out
=
fc_layer
(
input
=
[
cos1
,
cos3
,
linear_comb
,
z
],
size
=
num_classes
,
act
=
SoftmaxActivation
())
...
...
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