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PaddleDetection
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aa07814d
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PaddleDetection
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aa07814d
编写于
4月 04, 2019
作者:
M
minqiyang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
Add 3 uts
test=develop
上级
2e0b8713
变更
1
显示空白变更内容
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并排
Showing
1 changed file
with
12 addition
and
17 deletion
+12
-17
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+12
-17
未找到文件。
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
aa07814d
...
@@ -1909,39 +1909,34 @@ class TestBook(LayerTest):
...
@@ -1909,39 +1909,34 @@ class TestBook(LayerTest):
return
(
out
)
return
(
out
)
def
test_kldiv_loss
(
self
):
def
test_kldiv_loss
(
self
):
program
=
Program
()
with
program_guard
(
fluid
.
default_main_program
(),
with
program_guard
(
program
):
fluid
.
default_startup_program
()
):
x
=
layers
.
data
(
name
=
'x'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
x
=
layers
.
data
(
name
=
'x'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
target
=
layers
.
data
(
target
=
layers
.
data
(
name
=
'target'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
name
=
'target'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
loss
=
layers
.
kldiv_loss
(
x
=
x
,
target
=
target
,
reduction
=
'batchmean'
)
loss
=
layers
.
kldiv_loss
(
x
=
x
,
target
=
target
,
reduction
=
'batchmean'
)
self
.
assertIsNotNone
(
loss
)
return
(
loss
)
print
(
str
(
program
))
def
test_temporal_shift
(
self
):
def
test_temporal_shift
(
self
):
program
=
Program
()
with
program_guard
(
fluid
.
default_main_program
(),
with
program_guard
(
program
):
fluid
.
default_startup_program
()
):
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
16
,
4
,
4
],
dtype
=
"float32"
)
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
16
,
4
,
4
],
dtype
=
"float32"
)
out
=
layers
.
temporal_shift
(
x
,
seg_num
=
4
,
shift_ratio
=
0.2
)
out
=
layers
.
temporal_shift
(
x
,
seg_num
=
4
,
shift_ratio
=
0.2
)
self
.
assertIsNotNone
(
out
)
return
(
out
)
print
(
str
(
program
))
def
test_shuffle_channel
(
self
):
def
test_shuffle_channel
(
self
):
program
=
Program
()
with
program_guard
(
fluid
.
default_main_program
(),
with
program_guard
(
program
):
fluid
.
default_startup_program
()
):
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
16
,
4
,
4
],
dtype
=
"float32"
)
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
16
,
4
,
4
],
dtype
=
"float32"
)
out
=
layers
.
shuffle_channel
(
x
,
group
=
4
)
out
=
layers
.
shuffle_channel
(
x
,
group
=
4
)
self
.
assertIsNotNone
(
out
)
return
(
out
)
print
(
str
(
program
))
def
test_pixel_shuffle
(
self
):
def
test_pixel_shuffle
(
self
):
program
=
Program
()
with
program_guard
(
fluid
.
default_main_program
(),
with
program_guard
(
program
):
fluid
.
default_startup_program
()
):
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
9
,
4
,
4
],
dtype
=
"float32"
)
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
9
,
4
,
4
],
dtype
=
"float32"
)
out
=
layers
.
pixel_shuffle
(
x
,
upscale_factor
=
3
)
out
=
layers
.
pixel_shuffle
(
x
,
upscale_factor
=
3
)
self
.
assertIsNotNone
(
out
)
return
(
out
)
print
(
str
(
program
))
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
...
...
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