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体验新版 GitCode,发现更多精彩内容 >>
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476470da
编写于
9月 13, 2022
作者:
C
Charles-hit
提交者:
GitHub
9月 13, 2022
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差异文件
add unit test for sum higher level op (#45961)
上级
ff1da188
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1
隐藏空白更改
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1 changed file
with
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and
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+72
-0
python/paddle/fluid/tests/unittests/test_sum_op.py
python/paddle/fluid/tests/unittests/test_sum_op.py
+72
-0
未找到文件。
python/paddle/fluid/tests/unittests/test_sum_op.py
浏览文件 @
476470da
...
@@ -663,6 +663,78 @@ class TestAddNTripleGradCheck(unittest.TestCase):
...
@@ -663,6 +663,78 @@ class TestAddNTripleGradCheck(unittest.TestCase):
self
.
func
(
p
)
self
.
func
(
p
)
class
TestSumDoubleGradCheck
(
unittest
.
TestCase
):
def
sum_wrapper
(
self
,
x
):
return
paddle
.
sum
(
x
[
0
],
axis
=
1
,
keepdim
=
True
)
@
prog_scope
()
def
func
(
self
,
place
):
# the shape of input variable should be clearly specified, not inlcude -1.
eps
=
0.005
dtype
=
np
.
float32
data
=
layers
.
data
(
'data'
,
[
2
,
4
],
False
,
dtype
)
data
.
persistable
=
True
out
=
paddle
.
sum
(
data
,
axis
=
1
,
keepdim
=
True
)
data_arr
=
np
.
random
.
uniform
(
-
1
,
1
,
data
.
shape
).
astype
(
dtype
)
gradient_checker
.
double_grad_check
([
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
,
eps
=
eps
)
fluid
.
set_flags
({
"FLAGS_retain_grad_for_all_tensor"
:
True
})
gradient_checker
.
double_grad_check_for_dygraph
(
self
.
sum_wrapper
,
[
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
)
def
test_grad
(
self
):
paddle
.
enable_static
()
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
p
in
places
:
self
.
func
(
p
)
class
TestSumTripleGradCheck
(
unittest
.
TestCase
):
def
sum_wrapper
(
self
,
x
):
return
paddle
.
sum
(
x
[
0
],
axis
=
1
,
keepdim
=
True
)
@
prog_scope
()
def
func
(
self
,
place
):
# the shape of input variable should be clearly specified, not inlcude -1.
eps
=
0.005
dtype
=
np
.
float32
data
=
layers
.
data
(
'data'
,
[
2
,
4
],
False
,
dtype
)
data
.
persistable
=
True
out
=
paddle
.
sum
(
data
,
axis
=
1
,
keepdim
=
True
)
data_arr
=
np
.
random
.
uniform
(
-
1
,
1
,
data
.
shape
).
astype
(
dtype
)
gradient_checker
.
triple_grad_check
([
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
,
eps
=
eps
)
fluid
.
set_flags
({
"FLAGS_retain_grad_for_all_tensor"
:
True
})
gradient_checker
.
triple_grad_check_for_dygraph
(
self
.
sum_wrapper
,
[
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
)
def
test_grad
(
self
):
paddle
.
enable_static
()
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
p
in
places
:
self
.
func
(
p
)
if
__name__
==
"__main__"
:
if
__name__
==
"__main__"
:
enable_static
()
enable_static
()
unittest
.
main
()
unittest
.
main
()
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