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体验新版 GitCode,发现更多精彩内容 >>
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ad09faca
编写于
10月 26, 2018
作者:
T
Tomasz Patejko
提交者:
Michal Gallus
11月 16, 2018
浏览文件
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电子邮件补丁
差异文件
MKLDNN elementwise_mul: CPU tests initially refactored. MKLDNN mul test for broadcast added
上级
2d73ad18
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
81 addition
and
21 deletion
+81
-21
paddle/fluid/operators/elementwise_mul_mkldnn_op.cc
paddle/fluid/operators/elementwise_mul_mkldnn_op.cc
+0
-2
python/paddle/fluid/tests/unittests/test_elementwise_add_op.py
...n/paddle/fluid/tests/unittests/test_elementwise_add_op.py
+0
-6
python/paddle/fluid/tests/unittests/test_elementwise_mul_mkldnn_op.py
...e/fluid/tests/unittests/test_elementwise_mul_mkldnn_op.py
+50
-0
python/paddle/fluid/tests/unittests/test_elementwise_mul_op.py
...n/paddle/fluid/tests/unittests/test_elementwise_mul_op.py
+31
-13
未找到文件。
paddle/fluid/operators/elementwise_mul_mkldnn_op.cc
浏览文件 @
ad09faca
...
...
@@ -85,8 +85,6 @@ class ElementwiseMulMKLDNNKernel : public framework::OpKernel<T> {
mul_func_t
mul_func
=
(
mul_func_t
)
mul
.
getCode
();
auto
ptr_x
=
x_data
;
for
(
int
ni
=
0
;
ni
<
n
;
ni
++
)
{
for
(
int
ci
=
0
;
ci
<
C
;
ci
++
)
{
for
(
int
hi
=
0
;
hi
<
h
;
hi
++
)
{
...
...
python/paddle/fluid/tests/unittests/test_elementwise_add_op.py
浏览文件 @
ad09faca
...
...
@@ -43,19 +43,13 @@ class TestElementwiseAddOp(OpTest):
self
.
check_output
()
def
test_check_grad_normal
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad
([
'X'
,
'Y'
],
'Out'
,
max_relative_error
=
0.005
)
def
test_check_grad_ingore_x
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad
(
[
'Y'
],
'Out'
,
max_relative_error
=
0.005
,
no_grad_set
=
set
(
"X"
))
def
test_check_grad_ingore_y
(
self
):
if
self
.
dtype
==
np
.
float16
:
return
self
.
check_grad
(
[
'X'
],
'Out'
,
max_relative_error
=
0.005
,
no_grad_set
=
set
(
'Y'
))
...
...
python/paddle/fluid/tests/unittests/test_elementwise_mul_mkldnn_op.py
0 → 100644
浏览文件 @
ad09faca
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
__future__
import
print_function
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
import
paddle.fluid.core
as
core
from
paddle.fluid.op
import
Operator
from
test_elementwise_mul_op
import
*
class
ElementwiseMulMKLDNNOp
(
ElementwiseMulOp
):
def
init_input_output
(
self
):
x
=
np
.
random
.
rand
(
1
,
16
,
2
,
2
).
astype
(
self
.
dtype
)
self
.
x
=
x
.
transpose
(
0
,
2
,
3
,
1
).
reshape
(
1
,
16
,
2
,
2
)
self
.
y
=
np
.
random
.
rand
(
1
,
16
).
astype
(
self
.
dtype
)
self
.
out
=
x
*
self
.
y
.
reshape
(
1
,
16
,
1
,
1
)
self
.
out
=
self
.
out
.
transpose
(
0
,
2
,
3
,
1
).
reshape
(
1
,
16
,
2
,
2
)
def
init_kernel_type
(
self
):
self
.
use_mkldnn
=
True
def
init_axis
(
self
):
self
.
axis
=
0
def
test_check_grad_normal
(
self
):
pass
def
test_check_grad_ingore_x
(
self
):
pass
def
test_check_grad_ingore_y
(
self
):
pass
if
__name__
==
'__main__'
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/test_elementwise_mul_op.py
浏览文件 @
ad09faca
...
...
@@ -21,13 +21,24 @@ from paddle.fluid.op import Operator
class
ElementwiseMulOp
(
OpTest
):
def
init_kernel_type
(
self
):
self
.
use_mkldnn
=
False
def
setUp
(
self
):
self
.
op_type
=
"elementwise_mul"
self
.
dtype
=
np
.
float32
self
.
axis
=
-
1
self
.
init_dtype
()
self
.
init_input_output
()
self
.
init_kernel_type
()
self
.
init_axis
()
self
.
inputs
=
{
'X'
:
np
.
random
.
uniform
(
0.1
,
1
,
[
13
,
17
]).
astype
(
"float64"
),
'Y'
:
np
.
random
.
uniform
(
0.1
,
1
,
[
13
,
17
]).
astype
(
"float64"
)
'X'
:
OpTest
.
np_dtype_to_fluid_dtype
(
self
.
x
),
'Y'
:
OpTest
.
np_dtype_to_fluid_dtype
(
self
.
y
)
}
self
.
outputs
=
{
'Out'
:
np
.
multiply
(
self
.
inputs
[
'X'
],
self
.
inputs
[
'Y'
])}
self
.
outputs
=
{
'Out'
:
self
.
out
}
self
.
attrs
=
{
'axis'
:
self
.
axis
,
'use_mkldnn'
:
self
.
use_mkldnn
}
def
test_check_output
(
self
):
self
.
check_output
()
...
...
@@ -41,6 +52,17 @@ class ElementwiseMulOp(OpTest):
def
test_check_grad_ingore_y
(
self
):
self
.
check_grad
([
'X'
],
'Out'
,
no_grad_set
=
set
(
'Y'
))
def
init_input_output
(
self
):
self
.
x
=
np
.
random
.
uniform
(
0.1
,
1
,
[
13
,
17
]).
astype
(
self
.
dtype
)
self
.
y
=
np
.
random
.
uniform
(
0.1
,
1
,
[
13
,
17
]).
astype
(
self
.
dtype
)
self
.
out
=
np
.
multiply
(
self
.
x
,
self
.
y
)
def
init_dtype
(
self
):
pass
def
init_axis
(
self
):
pass
class
TestElementwiseMulOp_scalar
(
ElementwiseMulOp
):
def
setUp
(
self
):
...
...
@@ -63,17 +85,13 @@ class TestElementwiseMulOp_Vector(ElementwiseMulOp):
class
TestElementwiseMulOp_broadcast_0
(
ElementwiseMulOp
):
def
setUp
(
self
):
self
.
op_type
=
"elementwise_mul"
self
.
inputs
=
{
'X'
:
np
.
random
.
rand
(
2
,
3
,
4
).
astype
(
np
.
float64
),
'Y'
:
np
.
random
.
rand
(
2
).
astype
(
np
.
float64
)
}
def
init_input_output
(
self
):
self
.
x
=
np
.
random
.
rand
(
2
,
3
,
4
).
astype
(
self
.
dtype
)
self
.
y
=
np
.
random
.
rand
(
2
).
astype
(
self
.
dtype
)
self
.
out
=
self
.
x
*
self
.
y
.
reshape
(
2
,
1
,
1
)
self
.
attrs
=
{
'axis'
:
0
}
self
.
outputs
=
{
'Out'
:
self
.
inputs
[
'X'
]
*
self
.
inputs
[
'Y'
].
reshape
(
2
,
1
,
1
)
}
def
init_axis
(
self
):
self
.
axis
=
0
class
TestElementwiseMulOp_broadcast_1
(
ElementwiseMulOp
):
...
...
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