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体验新版 GitCode,发现更多精彩内容 >>
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595e9c5a
编写于
4月 09, 2020
作者:
W
wawltor
提交者:
GitHub
4月 09, 2020
浏览文件
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电子邮件补丁
差异文件
Fix the test case bug for matmul, test=develop (#23674)
Fix the bug of matmul test_case
上级
a1a95f81
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
10 addition
and
10 deletion
+10
-10
python/paddle/fluid/tests/unittests/test_matmul_op.py
python/paddle/fluid/tests/unittests/test_matmul_op.py
+10
-10
未找到文件。
python/paddle/fluid/tests/unittests/test_matmul_op.py
浏览文件 @
595e9c5a
...
...
@@ -246,26 +246,26 @@ for dim in [4]:
class
API_TestMm
(
unittest
.
TestCase
):
def
test_out
(
self
):
with
fluid
.
program_guard
(
fluid
.
Program
()):
x
=
fluid
.
data
(
name
=
"x"
,
shape
=
[
3
,
2
],
dtype
=
"float
32
"
)
y
=
fluid
.
data
(
name
=
'y'
,
shape
=
[
2
,
3
],
dtype
=
'float
32
'
)
res
=
fluid
.
data
(
name
=
"output"
,
shape
=
[
3
,
3
],
dtype
=
"float
32
"
)
x
=
fluid
.
data
(
name
=
"x"
,
shape
=
[
3
,
2
],
dtype
=
"float
64
"
)
y
=
fluid
.
data
(
name
=
'y'
,
shape
=
[
2
,
3
],
dtype
=
'float
64
'
)
res
=
fluid
.
data
(
name
=
"output"
,
shape
=
[
3
,
3
],
dtype
=
"float
64
"
)
y_1
=
paddle
.
mm
(
x
,
y
,
out
=
res
)
exe
=
fluid
.
Executor
(
fluid
.
CPUPlace
())
data1
=
np
.
random
.
rand
(
3
,
2
)
.
astype
(
'float32'
)
data2
=
np
.
random
.
rand
(
2
,
3
)
.
astype
(
'float32'
)
data1
=
np
.
random
.
rand
(
3
,
2
)
data2
=
np
.
random
.
rand
(
2
,
3
)
np_res
,
np_y_1
=
exe
.
run
(
feed
=
{
'x'
:
data1
,
'y'
:
data2
},
fetch_list
=
[
res
,
y_1
])
self
.
assertEqual
((
np_res
==
np_y_1
).
all
(),
True
)
with
fluid
.
program_guard
(
fluid
.
Program
()):
x
=
fluid
.
data
(
name
=
"x"
,
shape
=
[
2
],
dtype
=
"float
32
"
)
y
=
fluid
.
data
(
name
=
'y'
,
shape
=
[
2
],
dtype
=
'float
32
'
)
res
=
fluid
.
data
(
name
=
"output"
,
shape
=
[
1
],
dtype
=
"float
32
"
)
x
=
fluid
.
data
(
name
=
"x"
,
shape
=
[
2
],
dtype
=
"float
64
"
)
y
=
fluid
.
data
(
name
=
'y'
,
shape
=
[
2
],
dtype
=
'float
64
'
)
res
=
fluid
.
data
(
name
=
"output"
,
shape
=
[
1
],
dtype
=
"float
64
"
)
result
=
paddle
.
mm
(
x
,
y
)
exe
=
fluid
.
Executor
(
fluid
.
CPUPlace
())
data1
=
np
.
random
.
rand
(
2
)
.
astype
(
'float32'
)
data2
=
np
.
random
.
rand
(
2
)
.
astype
(
'float32'
)
data1
=
np
.
random
.
rand
(
2
)
data2
=
np
.
random
.
rand
(
2
)
np_res
=
exe
.
run
(
feed
=
{
'x'
:
data1
,
'y'
:
data2
},
fetch_list
=
[
result
])
expected_result
=
np
.
matmul
(
data1
.
reshape
(
1
,
2
),
data2
.
reshape
(
2
,
1
))
...
...
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