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b681215a
编写于
3月 01, 2020
作者:
L
lidanqing
提交者:
GitHub
3月 01, 2020
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差异文件
Add @skip_check_grad_ci to UT conv_mkldnn and int8_mul_mkldnn (#22760)
上级
68a92e46
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
15 addition
and
32 deletion
+15
-32
python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_mkldnn_op.py
...dle/fluid/tests/unittests/mkldnn/test_conv2d_mkldnn_op.py
+5
-19
python/paddle/fluid/tests/unittests/mkldnn/test_mul_int8_mkldnn_op.py
...e/fluid/tests/unittests/mkldnn/test_mul_int8_mkldnn_op.py
+4
-10
python/paddle/fluid/tests/unittests/test_conv2d_op.py
python/paddle/fluid/tests/unittests/test_conv2d_op.py
+6
-3
未找到文件。
python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_mkldnn_op.py
浏览文件 @
b681215a
...
...
@@ -18,7 +18,7 @@ import unittest
import
numpy
as
np
import
paddle.fluid.core
as
core
from
paddle.fluid.tests.unittests.op_test
import
OpTest
from
paddle.fluid.tests.unittests.op_test
import
OpTest
,
skip_check_grad_ci
from
paddle.fluid.tests.unittests.test_conv2d_op
import
TestConv2dOp
,
TestConv2dOp_v2
...
...
@@ -104,6 +104,8 @@ class TestConv2dMKLDNNOp(TestConv2dOp):
self
.
outputs
[
'Output'
]
=
output
@
skip_check_grad_ci
(
reason
=
"Fusion is for inference only, check_grad is not required."
)
class
TestWithbreluFusion
(
TestConv2dMKLDNNOp
):
def
init_test_case
(
self
):
TestConv2dMKLDNNOp
.
init_test_case
(
self
)
...
...
@@ -111,16 +113,9 @@ class TestWithbreluFusion(TestConv2dMKLDNNOp):
self
.
fuse_alpha
=
6.0
self
.
dsttype
=
np
.
float32
def
test_check_grad
(
self
):
pass
def
test_check_grad_no_filter
(
self
):
pass
def
test_check_grad_no_input
(
self
):
pass
@
skip_check_grad_ci
(
reason
=
"Fusion is for inference only, check_grad is not required."
)
class
TestWithFuse
(
TestConv2dMKLDNNOp
):
def
init_test_case
(
self
):
TestConv2dMKLDNNOp
.
init_test_case
(
self
)
...
...
@@ -130,15 +125,6 @@ class TestWithFuse(TestConv2dMKLDNNOp):
self
.
fuse_residual_connection
=
True
self
.
input_residual_size
=
[
2
,
6
,
5
,
5
]
def
test_check_grad
(
self
):
pass
def
test_check_grad_no_filter
(
self
):
pass
def
test_check_grad_no_input
(
self
):
pass
class
TestWithPadWithBias
(
TestConv2dMKLDNNOp
):
def
init_test_case
(
self
):
...
...
python/paddle/fluid/tests/unittests/mkldnn/test_mul_int8_mkldnn_op.py
浏览文件 @
b681215a
...
...
@@ -17,12 +17,15 @@ from __future__ import print_function
import
unittest
import
numpy
as
np
import
paddle.fluid.core
as
core
from
paddle.fluid.tests.unittests.op_test
import
OpTest
from
paddle.fluid.tests.unittests.op_test
import
OpTest
,
skip_check_grad_ci
'''
test case for s8 * s8
'''
@
skip_check_grad_ci
(
reason
=
"mul_mkldnn_op does not implement grad operator, check_grad is not required."
)
class
TestMKLDNNMulOpS8S8
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"mul"
...
...
@@ -77,15 +80,6 @@ class TestMKLDNNMulOpS8S8(OpTest):
self
.
check_output_with_place
(
core
.
CPUPlace
(),
atol
=
0
,
check_dygraph
=
False
)
def
test_check_grad_normal
(
self
):
pass
def
test_check_grad_ingore_x
(
self
):
pass
def
test_check_grad_ingore_y
(
self
):
pass
'''
test case for s8 * u8
...
...
python/paddle/fluid/tests/unittests/test_conv2d_op.py
浏览文件 @
b681215a
...
...
@@ -355,7 +355,8 @@ class TestConv2dOp(OpTest):
place
,
atol
=
1e-5
,
check_dygraph
=
(
self
.
use_mkldnn
==
False
))
def
test_check_grad
(
self
):
if
self
.
dtype
==
np
.
float16
:
if
self
.
dtype
==
np
.
float16
or
(
hasattr
(
self
,
"no_need_check_grad"
)
and
self
.
no_need_check_grad
==
True
):
return
place
=
core
.
CUDAPlace
(
0
)
if
self
.
has_cuda
()
else
core
.
CPUPlace
()
# TODO(wangzhongpu): support mkldnn op in dygraph mode
...
...
@@ -366,7 +367,8 @@ class TestConv2dOp(OpTest):
check_dygraph
=
(
self
.
use_mkldnn
==
False
))
def
test_check_grad_no_filter
(
self
):
if
self
.
dtype
==
np
.
float16
:
if
self
.
dtype
==
np
.
float16
or
(
hasattr
(
self
,
"no_need_check_grad"
)
and
self
.
no_need_check_grad
==
True
):
return
place
=
core
.
CUDAPlace
(
0
)
if
self
.
has_cuda
()
else
core
.
CPUPlace
()
# TODO(wangzhongpu): support mkldnn op in dygraph mode
...
...
@@ -378,7 +380,8 @@ class TestConv2dOp(OpTest):
check_dygraph
=
(
self
.
use_mkldnn
==
False
))
def
test_check_grad_no_input
(
self
):
if
self
.
dtype
==
np
.
float16
:
if
self
.
dtype
==
np
.
float16
or
(
hasattr
(
self
,
"no_need_check_grad"
)
and
self
.
no_need_check_grad
==
True
):
return
place
=
core
.
CUDAPlace
(
0
)
if
self
.
has_cuda
()
else
core
.
CPUPlace
()
# TODO(wangzhongpu): support mkldnn op in dygraph mode
...
...
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