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4311bfed
编写于
2月 24, 2017
作者:
J
jacquesqiao
提交者:
GitHub
2月 24, 2017
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差异文件
Merge pull request #1449 from jacquesqiao/layer-test
add Layer test
上级
ad81b7fa
bf8a6dc4
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3
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3 changed file
with
68 addition
and
0 deletion
+68
-0
python/CMakeLists.txt
python/CMakeLists.txt
+1
-0
python/paddle/v2/tests/CMakeLists.txt
python/paddle/v2/tests/CMakeLists.txt
+4
-0
python/paddle/v2/tests/test_layer.py
python/paddle/v2/tests/test_layer.py
+63
-0
未找到文件。
python/CMakeLists.txt
浏览文件 @
4311bfed
...
...
@@ -25,6 +25,7 @@ add_custom_target(paddle_python ALL DEPENDS
add_subdirectory
(
paddle/trainer_config_helpers/tests
)
add_subdirectory
(
paddle/reader/tests
)
add_subdirectory
(
paddle/v2/tests
)
install
(
DIRECTORY
${
CMAKE_CURRENT_BINARY_DIR
}
/dist/
DESTINATION opt/paddle/share/wheels
...
...
python/paddle/v2/tests/CMakeLists.txt
0 → 100644
浏览文件 @
4311bfed
add_test
(
NAME test_v2_layer
COMMAND
${
PROJ_ROOT
}
/paddle/.set_python_path.sh -d
${
PROJ_ROOT
}
/python/
${
PYTHON_EXECUTABLE
}
${
PROJ_ROOT
}
/python/paddle/v2/tests/test_layer.py
WORKING_DIRECTORY
${
PROJ_ROOT
}
/python/paddle
)
python/paddle/v2/tests/test_layer.py
0 → 100644
浏览文件 @
4311bfed
# Copyright PaddlePaddle contributors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
difflib
import
unittest
import
paddle.trainer_config_helpers
as
conf_helps
import
paddle.v2.activation
as
activation
import
paddle.v2.attr
as
attr
import
paddle.v2.data_type
as
data_type
import
paddle.v2.layer
as
layer
from
paddle.trainer_config_helpers.config_parser_utils
import
\
parse_network_config
as
parse_network
pixel
=
layer
.
data
(
name
=
'pixel'
,
type
=
data_type
.
dense_vector
(
784
))
label
=
layer
.
data
(
name
=
'label'
,
type
=
data_type
.
integer_value
(
10
))
weight
=
layer
.
data
(
name
=
'weight'
,
type
=
data_type
.
dense_vector
(
10
))
score
=
layer
.
data
(
name
=
'score'
,
type
=
data_type
.
dense_vector
(
1
))
hidden
=
layer
.
fc
(
input
=
pixel
,
size
=
100
,
act
=
activation
.
Sigmoid
(),
param_attr
=
attr
.
Param
(
name
=
'hidden'
))
inference
=
layer
.
fc
(
input
=
hidden
,
size
=
10
,
act
=
activation
.
Softmax
())
class
CostLayerTest
(
unittest
.
TestCase
):
def
test_cost_layer
(
self
):
cost1
=
layer
.
classification_cost
(
input
=
inference
,
label
=
label
)
cost2
=
layer
.
classification_cost
(
input
=
inference
,
label
=
label
,
weight
=
weight
)
cost3
=
layer
.
cross_entropy_cost
(
input
=
inference
,
label
=
label
)
cost4
=
layer
.
cross_entropy_with_selfnorm_cost
(
input
=
inference
,
label
=
label
)
cost5
=
layer
.
regression_cost
(
input
=
inference
,
label
=
label
)
cost6
=
layer
.
regression_cost
(
input
=
inference
,
label
=
label
,
weight
=
weight
)
cost7
=
layer
.
multi_binary_label_cross_entropy_cost
(
input
=
inference
,
label
=
label
)
cost8
=
layer
.
rank_cost
(
left
=
score
,
right
=
score
,
label
=
score
)
cost9
=
layer
.
lambda_cost
(
input
=
inference
,
score
=
score
)
cost10
=
layer
.
sum_cost
(
input
=
inference
)
cost11
=
layer
.
huber_cost
(
input
=
score
,
label
=
label
)
print
dir
(
layer
)
layer
.
parse_network
(
cost1
,
cost2
)
print
dir
(
layer
)
#print layer.parse_network(cost3, cost4)
#print layer.parse_network(cost5, cost6)
#print layer.parse_network(cost7, cost8, cost9, cost10, cost11)
if
__name__
==
'__main__'
:
unittest
.
main
()
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