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体验新版 GitCode,发现更多精彩内容 >>
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ce93eea8
编写于
1月 19, 2018
作者:
C
chengduoZH
浏览文件
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浏览文件
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电子邮件补丁
差异文件
refine unit test
上级
0468422d
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1
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Showing
1 changed file
with
45 addition
and
27 deletion
+45
-27
python/paddle/v2/fluid/tests/test_matmul_op.py
python/paddle/v2/fluid/tests/test_matmul_op.py
+45
-27
未找到文件。
python/paddle/v2/fluid/tests/test_matmul_op.py
浏览文件 @
ce93eea8
...
...
@@ -59,19 +59,18 @@ def reference_matmul(X, Y, transpose_X=False, transpose_Y=False):
X
=
X
.
reshape
((
X
.
size
,
1
))
elif
X
.
ndim
==
2
:
X
=
X
.
T
elif
X
.
ndim
==
3
:
X
=
np
.
transpose
(
X
,
(
0
,
2
,
1
))
else
:
raise
ValueError
(
'X must have between 1 and 3 dimensions'
)
dim
=
[
i
for
i
in
range
(
len
(
X
.
shape
))]
dim
[
-
1
],
dim
[
len
(
X
.
shape
)
-
2
]
=
dim
[
len
(
X
.
shape
)
-
2
],
dim
[
-
1
]
X
=
np
.
transpose
(
X
,
tuple
(
dim
))
if
transpose_Y
:
if
Y
.
ndim
==
1
:
Y
=
Y
.
reshape
((
1
,
Y
.
size
))
elif
Y
.
ndim
==
2
:
Y
=
Y
.
T
elif
Y
.
ndim
==
3
:
Y
=
np
.
transpose
(
Y
,
(
0
,
2
,
1
))
else
:
raise
ValueError
(
'Y must have between 1 and 3 dimensions'
)
dim
=
[
i
for
i
in
range
(
len
(
Y
.
shape
))]
dim
[
-
1
],
dim
[
len
(
Y
.
shape
)
-
2
]
=
dim
[
len
(
Y
.
shape
)
-
2
],
dim
[
-
1
]
Y
=
np
.
transpose
(
Y
,
tuple
(
dim
))
Out
=
np
.
matmul
(
X
,
Y
)
if
not
Out
.
shape
:
# We do not support 0-dimensional Tensors (scalars). So where
...
...
@@ -120,30 +119,49 @@ for dim_X in [1, 2, 3]:
dim_X
,
dim_Y
,
transpose_X
,
transpose_Y
))
shape_X
,
shape_Y
=
generate_compatible_shapes
(
dim_X
,
dim_Y
,
transpose_X
,
transpose_Y
)
test_class
=
type
(
test_name
,
(
Generator
,
OpTest
),
{
globals
()[
test_name
]
=
type
(
test_name
,
(
Generator
,
OpTest
),
{
'shape_X'
:
shape_X
,
'shape_Y'
:
shape_Y
,
'transpose_X'
:
transpose_X
,
'transpose_Y'
:
transpose_Y
,
})
globals
()[
test_name
]
=
test_class
# Test case 4-dim
dim_X
=
4
dim_Y
=
4
transpose_X
=
False
transpose_Y
=
False
test_name
=
(
'TestMatMulOp_dimX_{}_dim_Y_{}_transX_{}_transY_{}'
.
format
(
dim_X
,
dim_Y
,
transpose_X
,
transpose_Y
))
shape_X
=
[
2
,
2
,
2
,
3
]
shape_Y
=
[
2
,
2
,
3
,
4
]
test_class
=
type
(
test_name
,
(
Generator
,
OpTest
),
{
def
generate_compatible_shapes
(
dim
,
transpose_X
,
transpose_Y
):
M
=
2
N
=
4
K
=
3
shape_X
=
[
2
for
_
in
range
(
dim
-
2
)]
shape_Y
=
[
2
for
_
in
range
(
dim
-
2
)]
if
transpose_X
:
shape_X
=
shape_X
+
[
K
,
M
]
else
:
shape_X
=
shape_X
+
[
M
,
K
]
if
transpose_Y
:
shape_Y
=
shape_Y
+
[
N
,
K
]
else
:
shape_Y
=
shape_Y
+
[
K
,
N
]
return
shape_X
,
shape_Y
# Test case n-dim
for
dim
in
[
4
]:
for
transpose_X
in
[
False
,
True
]:
for
transpose_Y
in
[
False
,
True
]:
test_name
=
(
'TestMatMulOp_dimX_{}_dim_Y_{}_transX_{}_transY_{}'
.
format
(
dim
,
dim
,
transpose_X
,
transpose_Y
))
shape_X
,
shape_Y
=
generate_compatible_shapes
(
dim
,
transpose_X
,
transpose_Y
)
globals
()[
test_name
]
=
type
(
test_name
,
(
Generator
,
OpTest
),
{
'shape_X'
:
shape_X
,
'shape_Y'
:
shape_Y
,
'transpose_X'
:
transpose_X
,
'transpose_Y'
:
transpose_Y
,
})
})
if
__name__
==
"__main__"
:
unittest
.
main
()
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