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0d27d204
编写于
3月 11, 2019
作者:
M
minqiyang
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差异文件
Merge branch 'develop' of
https://github.com/PaddlePaddle/Paddle
into transfer_gru_unit
上级
2050f31c
5f33164f
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
91 addition
and
2 deletion
+91
-2
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+91
-2
未找到文件。
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
0d27d204
...
...
@@ -15,13 +15,102 @@
from
__future__
import
print_function
import
unittest
import
paddle.fluid.layers
as
layers
import
contextlib
import
numpy
as
np
import
decorators
import
paddle
import
paddle.fluid
as
fluid
from
paddle.fluid.layers.device
import
get_places
import
paddle.fluid.nets
as
nets
from
paddle.fluid.framework
import
Program
,
program_guard
,
default_main_program
from
paddle.fluid.param_attr
import
ParamAttr
import
decorators
from
paddle.fluid
import
core
from
paddle.fluid.initializer
import
Constant
import
paddle.fluid.layers
as
layers
from
test_imperative_base
import
new_program_scope
from
paddle.fluid.imperative
import
nn
from
paddle.fluid.imperative
import
base
class
LayerTest
(
unittest
.
TestCase
):
@
classmethod
def
setUpClass
(
cls
):
cls
.
seed
=
111
@
classmethod
def
tearDownClass
(
cls
):
pass
def
_get_place
(
self
):
if
core
.
is_compiled_with_cuda
():
return
core
.
CUDAPlace
(
0
)
return
core
.
CPUPlace
()
@
contextlib
.
contextmanager
def
static_graph
(
self
):
with
new_program_scope
():
fluid
.
default_startup_program
().
random_seed
=
self
.
seed
fluid
.
default_main_program
().
random_seed
=
self
.
seed
yield
def
get_static_graph_result
(
self
,
feed
,
fetch_list
):
exe
=
fluid
.
Executor
(
self
.
_get_place
())
exe
.
run
(
fluid
.
default_startup_program
())
return
exe
.
run
(
fluid
.
default_main_program
(),
feed
=
feed
,
fetch_list
=
fetch_list
)
@
contextlib
.
contextmanager
def
dynamic_graph
(
self
):
with
fluid
.
imperative
.
guard
(
self
.
_get_place
()):
fluid
.
default_startup_program
().
random_seed
=
self
.
seed
fluid
.
default_main_program
().
random_seed
=
self
.
seed
yield
class
TestLayer
(
LayerTest
):
def
test_relu
(
self
):
with
self
.
static_graph
():
t
=
layers
.
data
(
name
=
't'
,
shape
=
[
3
,
3
],
dtype
=
'float32'
)
ret
=
layers
.
relu
(
t
)
static_ret
=
self
.
get_static_graph_result
(
feed
=
{
't'
:
np
.
ones
(
[
3
,
3
],
dtype
=
'float32'
)},
fetch_list
=
[
ret
])[
0
]
with
self
.
dynamic_graph
():
t
=
np
.
ones
([
3
,
3
],
dtype
=
'float32'
)
dy_ret
=
layers
.
relu
(
base
.
to_variable
(
t
))
self
.
assertTrue
(
np
.
allclose
(
static_ret
,
dy_ret
.
_numpy
()))
def
test_conv2d
(
self
):
with
self
.
static_graph
():
images
=
layers
.
data
(
name
=
'pixel'
,
shape
=
[
3
,
5
,
5
],
dtype
=
'float32'
)
ret
=
layers
.
conv2d
(
input
=
images
,
num_filters
=
3
,
filter_size
=
[
2
,
2
])
static_ret
=
self
.
get_static_graph_result
(
feed
=
{
'pixel'
:
np
.
ones
(
[
2
,
3
,
5
,
5
],
dtype
=
'float32'
)},
fetch_list
=
[
ret
])[
0
]
with
self
.
static_graph
():
images
=
layers
.
data
(
name
=
'pixel'
,
shape
=
[
3
,
5
,
5
],
dtype
=
'float32'
)
conv2d
=
nn
.
Conv2D
(
'conv2d'
,
num_channels
=
3
,
num_filters
=
3
,
filter_size
=
[
2
,
2
])
ret
=
conv2d
(
images
)
static_ret2
=
self
.
get_static_graph_result
(
feed
=
{
'pixel'
:
np
.
ones
(
[
2
,
3
,
5
,
5
],
dtype
=
'float32'
)},
fetch_list
=
[
ret
])[
0
]
with
self
.
dynamic_graph
():
images
=
np
.
ones
([
2
,
3
,
5
,
5
],
dtype
=
'float32'
)
conv2d
=
nn
.
Conv2D
(
'conv2d'
,
num_channels
=
3
,
num_filters
=
3
,
filter_size
=
[
2
,
2
])
dy_ret
=
conv2d
(
base
.
to_variable
(
images
))
self
.
assertTrue
(
np
.
allclose
(
static_ret
,
dy_ret
.
_numpy
()))
self
.
assertTrue
(
np
.
allclose
(
static_ret
,
static_ret2
))
class
TestBook
(
unittest
.
TestCase
):
...
...
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