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体验新版 GitCode,发现更多精彩内容 >>
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f1df9dba
编写于
2月 20, 2019
作者:
J
Jiabin Yang
提交者:
GitHub
2月 20, 2019
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差异文件
test=develop, update fluid.layers to LaryerHelper (#15797)
上级
f2e8409f
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
19 addition
and
12 deletion
+19
-12
python/paddle/fluid/tests/unittests/test_imperative_ptb_rnn.py
...n/paddle/fluid/tests/unittests/test_imperative_ptb_rnn.py
+19
-12
未找到文件。
python/paddle/fluid/tests/unittests/test_imperative_ptb_rnn.py
浏览文件 @
f1df9dba
...
...
@@ -40,6 +40,8 @@ class SimpleLSTMRNN(fluid.imperative.Layer):
self
.
_dropout
=
dropout
self
.
_input
=
None
self
.
_num_steps
=
num_steps
from
paddle.fluid.layer_helper
import
LayerHelper
self
.
_helper
=
LayerHelper
(
'SimpleLSTMRNN'
,
act
=
"tanh"
)
def
_build_once
(
self
,
input_embedding
,
init_hidden
=
None
,
init_cell
=
None
):
self
.
weight_1_arr
=
[]
...
...
@@ -50,17 +52,21 @@ class SimpleLSTMRNN(fluid.imperative.Layer):
self
.
mask_array
=
[]
for
i
in
range
(
self
.
_num_layers
):
weight_1
=
fluid
.
layers
.
create_parameter
(
weight_1
=
self
.
_helper
.
create_parameter
(
attr
=
fluid
.
ParamAttr
(
initializer
=
fluid
.
initializer
.
UniformInitializer
(
low
=-
self
.
_init_scale
,
high
=
self
.
_init_scale
)),
shape
=
[
self
.
_hidden_size
*
2
,
self
.
_hidden_size
*
4
],
dtype
=
"float32"
,
name
=
"fc_weight1_"
+
str
(
i
),
default_initializer
=
fluid
.
initializer
.
UniformInitializer
(
low
=-
self
.
_init_scale
,
high
=
self
.
_init_scale
))
self
.
weight_1_arr
.
append
(
weight_1
)
bias_1
=
fluid
.
layers
.
create_parameter
(
[
self
.
_hidden_size
*
4
],
bias_1
=
self
.
_helper
.
create_parameter
(
attr
=
fluid
.
ParamAttr
(
initializer
=
fluid
.
initializer
.
UniformInitializer
(
low
=-
self
.
_init_scale
,
high
=
self
.
_init_scale
)),
shape
=
[
self
.
_hidden_size
*
4
],
dtype
=
"float32"
,
name
=
"fc_bias1_"
+
str
(
i
),
default_initializer
=
fluid
.
initializer
.
Constant
(
0.0
))
self
.
bias_arr
.
append
(
bias_1
)
...
...
@@ -137,6 +143,8 @@ class PtbModel(fluid.imperative.Layer):
self
.
num_layers
=
num_layers
self
.
num_steps
=
num_steps
self
.
dropout
=
dropout
from
paddle.fluid.layer_helper
import
LayerHelper
self
.
_helper
=
LayerHelper
(
'PtbModel'
,
act
=
"tanh"
)
self
.
simple_lstm_rnn
=
SimpleLSTMRNN
(
hidden_size
,
num_steps
,
...
...
@@ -151,16 +159,16 @@ class PtbModel(fluid.imperative.Layer):
name
=
'embedding_para'
,
initializer
=
fluid
.
initializer
.
UniformInitializer
(
low
=-
init_scale
,
high
=
init_scale
)))
self
.
softmax_weight
=
fluid
.
layers
.
create_parameter
(
[
self
.
hidden_size
,
self
.
vocab_size
],
self
.
softmax_weight
=
self
.
_helper
.
create_parameter
(
attr
=
fluid
.
ParamAttr
(),
shape
=
[
self
.
hidden_size
,
self
.
vocab_size
],
dtype
=
"float32"
,
name
=
"softmax_weight"
,
default_initializer
=
fluid
.
initializer
.
UniformInitializer
(
low
=-
self
.
init_scale
,
high
=
self
.
init_scale
))
self
.
softmax_bias
=
fluid
.
layers
.
create_parameter
(
[
self
.
vocab_size
],
self
.
softmax_bias
=
self
.
_helper
.
create_parameter
(
attr
=
fluid
.
ParamAttr
(),
shape
=
[
self
.
vocab_size
],
dtype
=
"float32"
,
name
=
'softmax_bias'
,
default_initializer
=
fluid
.
initializer
.
UniformInitializer
(
low
=-
self
.
init_scale
,
high
=
self
.
init_scale
))
...
...
@@ -256,7 +264,6 @@ class TestImperativePtbRnn(unittest.TestCase):
with
new_program_scope
():
fluid
.
default_startup_program
().
random_seed
=
seed
fluid
.
default_main_program
().
random_seed
=
seed
# TODO: marsyang1993 Change seed to
ptb_model
=
PtbModel
(
hidden_size
=
hidden_size
,
vocab_size
=
vocab_size
,
...
...
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