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db92e3c8
编写于
2月 24, 2017
作者:
Q
qiaolongfei
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refine code
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6b80c2b4
变更
2
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Showing
2 changed file
with
4 addition
and
38 deletion
+4
-38
python/paddle/v2/layer.py
python/paddle/v2/layer.py
+0
-35
python/paddle/v2/tests/layer_test.py
python/paddle/v2/tests/layer_test.py
+4
-3
未找到文件。
python/paddle/v2/layer.py
浏览文件 @
db92e3c8
...
...
@@ -256,38 +256,3 @@ sum_cost = __convert_to_v2__(
'sum_cost'
,
name_prefix
=
'sum_cost'
,
parent_names
=
[
'input'
])
huber_cost
=
__convert_to_v2__
(
'huber_cost'
,
name_prefix
=
'huber_cost'
,
parent_names
=
[
'input'
,
'label'
])
if
__name__
==
'__main__'
:
pixel
=
data
(
name
=
'pixel'
,
type
=
data_type
.
dense_vector
(
784
))
label
=
data
(
name
=
'label'
,
type
=
data_type
.
integer_value
(
10
))
weight
=
data
(
name
=
'weight'
,
type
=
data_type
.
dense_vector
(
10
))
score
=
data
(
name
=
'score'
,
type
=
data_type
.
dense_vector
(
1
))
hidden
=
fc
(
input
=
pixel
,
size
=
100
,
act
=
activation
.
Sigmoid
(),
param_attr
=
attr
.
Param
(
name
=
'hidden'
))
inference
=
fc
(
input
=
hidden
,
size
=
10
,
act
=
activation
.
Softmax
())
maxid
=
max_id
(
input
=
inference
)
cost1
=
classification_cost
(
input
=
inference
,
label
=
label
)
cost2
=
classification_cost
(
input
=
inference
,
label
=
label
,
weight
=
weight
)
cost3
=
cross_entropy_cost
(
input
=
inference
,
label
=
label
)
cost4
=
cross_entropy_with_selfnorm_cost
(
input
=
inference
,
label
=
label
)
cost5
=
regression_cost
(
input
=
inference
,
label
=
label
)
cost6
=
regression_cost
(
input
=
inference
,
label
=
label
,
weight
=
weight
)
cost7
=
multi_binary_label_cross_entropy_cost
(
input
=
inference
,
label
=
label
)
cost8
=
rank_cost
(
left
=
score
,
right
=
score
,
label
=
score
)
cost9
=
lambda_cost
(
input
=
inference
,
score
=
score
)
cost10
=
sum_cost
(
input
=
inference
)
cost11
=
huber_cost
(
input
=
score
,
label
=
label
)
# print parse_network(cost1)
# print parse_network(cost2)
# print parse_network(cost1, cost2)
# print parse_network(cost2)
# print parse_network(inference, maxid)
print
parse_network
(
cost1
,
cost2
)
print
parse_network
(
cost3
,
cost4
)
print
parse_network
(
cost5
,
cost6
)
print
parse_network
(
cost7
,
cost8
,
cost9
,
cost10
,
cost11
)
print
parse_network
(
inference
,
maxid
)
python/paddle/v2/tests/layer_test.py
浏览文件 @
db92e3c8
...
...
@@ -16,9 +16,9 @@ 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
import
paddle.v2.attr
as
attr
from
paddle.trainer_config_helpers.config_parser_utils
import
\
parse_network_config
as
parse_network
...
...
@@ -95,8 +95,9 @@ class RNNTest(unittest.TestCase):
data1
=
layer
.
data
(
name
=
"word"
,
type
=
data_type
.
integer_value
(
dict_dim
))
embd
=
layer
.
embedding
(
input
=
data1
,
size
=
word_dim
)
aaa
=
layer
.
recurrent_group
(
name
=
"rnn"
,
step
=
new_step
,
input
=
embd
)
return
str
(
layer
.
parse_network
(
aaa
))
rnn_layer
=
layer
.
recurrent_group
(
name
=
"rnn"
,
step
=
new_step
,
input
=
embd
)
return
str
(
layer
.
parse_network
(
rnn_layer
))
diff
=
difflib
.
unified_diff
(
test_old_rnn
().
splitlines
(
1
),
test_new_rnn
().
splitlines
(
1
))
...
...
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