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1f86c88f
编写于
8月 14, 2018
作者:
M
minqiyang
浏览文件
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电子邮件补丁
差异文件
Remove random order of fetch_list in test_random_crop_op
上级
e0d5f8a8
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
6 addition
and
10 deletion
+6
-10
CMakeLists.txt
CMakeLists.txt
+1
-2
python/paddle/fluid/tests/unittests/op_test.py
python/paddle/fluid/tests/unittests/op_test.py
+1
-5
python/paddle/fluid/tests/unittests/test_random_crop_op.py
python/paddle/fluid/tests/unittests/test_random_crop_op.py
+4
-3
未找到文件。
CMakeLists.txt
浏览文件 @
1f86c88f
...
...
@@ -204,12 +204,11 @@ include(external/snappy) # download snappy
include
(
external/snappystream
)
include
(
external/threadpool
)
set
(
WITH_ANAKIN OFF CACHE STRING
"Disable Anakin first, will add it later."
FORCE
)
if
(
WITH_GPU
)
include
(
cuda
)
include
(
tensorrt
)
include
(
external/anakin
)
else
()
set
(
WITH_ANAKIN OFF CACHE STRING
"Anakin is valid only when GPU is set."
FORCE
)
endif
()
include
(
cudnn
)
# set cudnn libraries, must before configure
...
...
python/paddle/fluid/tests/unittests/op_test.py
浏览文件 @
1f86c88f
...
...
@@ -362,14 +362,10 @@ class OpTest(unittest.TestCase):
def
check_output_customized
(
self
,
checker
):
places
=
self
.
_get_places
()
import
sys
print
(
'places'
,
places
)
for
place
in
places
:
outs
=
self
.
calc_output
(
place
)
outs
=
[
np
.
array
(
out
)
for
out
in
outs
]
import
sys
print
(
'outs'
,
outs
)
sys
.
stdout
.
flush
()
outs
.
sort
(
key
=
len
)
checker
(
outs
)
def
__assert_is_close
(
self
,
numeric_grads
,
analytic_grads
,
names
,
...
...
python/paddle/fluid/tests/unittests/test_random_crop_op.py
浏览文件 @
1f86c88f
...
...
@@ -23,9 +23,10 @@ class TestRandomCropOp(OpTest):
to_crop
=
np
.
array
([[[
1
,
2
,
3
,
4
],
[
5
,
6
,
7
,
8
],
[
9
,
10
,
11
,
12
]]]
*
5
).
astype
(
np
.
int32
)
self
.
possible_res
=
[
np
.
array
([[
1
,
2
,
3
],
[
5
,
6
,
7
]]),
np
.
array
([[
2
,
3
,
4
],
[
6
,
7
,
8
]]),
np
.
array
([[
5
,
6
,
7
],
[
9
,
10
,
11
]]),
np
.
array
([[
6
,
7
,
8
],
[
10
,
11
,
12
]])
np
.
array
([[
1
,
2
,
3
],
[
5
,
6
,
7
]]).
astype
(
np
.
int32
),
np
.
array
([[
2
,
3
,
4
],
[
6
,
7
,
8
]]).
astype
(
np
.
int32
),
np
.
array
([[
5
,
6
,
7
],
[
9
,
10
,
11
]]).
astype
(
np
.
int32
),
np
.
array
([[
6
,
7
,
8
],
[
10
,
11
,
12
]]).
astype
(
np
.
int32
)
]
self
.
op_type
=
"random_crop"
self
.
inputs
=
{
'X'
:
to_crop
,
'Seed'
:
np
.
array
([
10
])}
...
...
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