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体验新版 GitCode,发现更多精彩内容 >>
提交
f13f1f1c
编写于
2月 24, 2017
作者:
Q
qiaolongfei
浏览文件
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电子邮件补丁
差异文件
use test_layer instead of layer_test
上级
61f56fc0
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
51 addition
and
6 deletion
+51
-6
python/paddle/v2/tests/test_layer.py
python/paddle/v2/tests/test_layer.py
+51
-6
未找到文件。
python/paddle/v2/tests/test_layer.py
浏览文件 @
f13f1f1c
...
...
@@ -51,12 +51,57 @@ class CostLayerTest(unittest.TestCase):
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)
print
layer
.
parse_network
(
cost1
,
cost2
)
print
layer
.
parse_network
(
cost3
,
cost4
)
print
layer
.
parse_network
(
cost5
,
cost6
)
print
layer
.
parse_network
(
cost7
,
cost8
,
cost9
,
cost10
,
cost11
)
class
RNNTest
(
unittest
.
TestCase
):
def
test_simple_rnn
(
self
):
dict_dim
=
10
word_dim
=
8
hidden_dim
=
8
def
test_old_rnn
():
def
step
(
y
):
mem
=
conf_helps
.
memory
(
name
=
"rnn_state"
,
size
=
hidden_dim
)
out
=
conf_helps
.
fc_layer
(
input
=
[
y
,
mem
],
size
=
hidden_dim
,
act
=
activation
.
Tanh
(),
bias_attr
=
True
,
name
=
"rnn_state"
)
return
out
def
test
():
data1
=
conf_helps
.
data_layer
(
name
=
"word"
,
size
=
dict_dim
)
embd
=
conf_helps
.
embedding_layer
(
input
=
data1
,
size
=
word_dim
)
conf_helps
.
recurrent_group
(
name
=
"rnn"
,
step
=
step
,
input
=
embd
)
return
str
(
parse_network
(
test
))
def
test_new_rnn
():
def
new_step
(
y
):
mem
=
layer
.
memory
(
name
=
"rnn_state"
,
size
=
hidden_dim
)
out
=
layer
.
fc
(
input
=
[
mem
],
step_input
=
y
,
size
=
hidden_dim
,
act
=
activation
.
Tanh
(),
bias_attr
=
True
,
name
=
"rnn_state"
)
return
out
.
to_proto
(
dict
())
data1
=
layer
.
data
(
name
=
"word"
,
type
=
data_type
.
integer_value
(
dict_dim
))
embd
=
layer
.
embedding
(
input
=
data1
,
size
=
word_dim
)
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
))
print
''
.
join
(
diff
)
if
__name__
==
'__main__'
:
...
...
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