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体验新版 GitCode,发现更多精彩内容 >>
提交
9bb1e3ea
编写于
12月 20, 2019
作者:
Z
zhupengyang
提交者:
Tao Luo
12月 20, 2019
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电子邮件补丁
差异文件
add shape_check for op tests (#21391)
上级
63a5fb4c
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
38 addition
and
1 deletion
+38
-1
python/paddle/fluid/tests/unittests/op_test.py
python/paddle/fluid/tests/unittests/op_test.py
+13
-1
python/paddle/fluid/tests/unittests/white_list/check_shape_white_list.py
...luid/tests/unittests/white_list/check_shape_white_list.py
+25
-0
未找到文件。
python/paddle/fluid/tests/unittests/op_test.py
浏览文件 @
9bb1e3ea
...
...
@@ -33,7 +33,7 @@ from paddle.fluid.executor import Executor
from
paddle.fluid.framework
import
Program
,
OpProtoHolder
,
Variable
from
testsuite
import
create_op
,
set_input
,
append_input_output
,
append_loss_ops
from
paddle.fluid
import
unique_name
from
white_list
import
op_accuracy_white_list
,
op_check_grad_white_list
from
white_list
import
op_accuracy_white_list
,
op_check_grad_white_list
,
check_shape_white_list
def
_set_use_system_allocator
(
value
=
None
):
...
...
@@ -69,6 +69,10 @@ def get_numeric_gradient(place,
tensor_to_check
=
scope
.
find_var
(
input_to_check
).
get_tensor
()
tensor_size
=
product
(
tensor_to_check
.
shape
())
if
not
hasattr
(
get_numeric_gradient
,
'check_shape_time'
):
get_numeric_gradient
.
check_shape_time
=
0
if
tensor_size
>=
100
:
get_numeric_gradient
.
check_shape_time
+=
1
tensor_to_check_dtype
=
tensor_to_check
.
_dtype
()
if
tensor_to_check_dtype
==
core
.
VarDesc
.
VarType
.
FP32
:
tensor_to_check_dtype
=
np
.
float32
...
...
@@ -170,6 +174,13 @@ class OpTest(unittest.TestCase):
"This test do not have op_type in class attrs,"
" please set self.__class__.op_type=the_real_op_type manually."
)
if
hasattr
(
get_numeric_gradient
,
'check_shape_time'
)
and
get_numeric_gradient
.
check_shape_time
==
0
and
OpTest
.
op_type
not
in
check_shape_white_list
.
NOT_CHECK_OP_LIST
and
OpTest
.
op_type
not
in
check_shape_white_list
.
NEED_TO_FIX_OP_LIST
:
raise
AssertionError
(
"At least one input's shape should be large than or equal to 100 for "
+
OpTest
.
op_type
+
" Op."
)
# cases and ops do no need check_grad
if
cls
.
__name__
in
op_check_grad_white_list
.
NO_NEED_CHECK_GRAD_CASES
\
or
cls
.
op_type
in
op_check_grad_white_list
.
EMPTY_GRAD_OP_LIST
:
...
...
@@ -1141,6 +1152,7 @@ class OpTest(unittest.TestCase):
max_relative_error
=
0.005
,
user_defined_grads
=
None
,
check_dygraph
=
True
):
OpTest
.
op_type
=
self
.
op_type
self
.
scope
=
core
.
Scope
()
op_inputs
=
self
.
inputs
if
hasattr
(
self
,
"inputs"
)
else
dict
()
op_outputs
=
self
.
outputs
if
hasattr
(
self
,
"outputs"
)
else
dict
()
...
...
python/paddle/fluid/tests/unittests/white_list/check_shape_white_list.py
0 → 100644
浏览文件 @
9bb1e3ea
# Copyright (c) 2019 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.
NOT_CHECK_OP_LIST
=
[
# increment's input must be 1-d and only has one data
'increment'
]
NEED_TO_FIX_OP_LIST
=
[
'sequence_scatter'
,
'log_loss'
,
'sequence_topk_avg_pooling'
,
'matmul'
,
'add_position_encoding'
,
'margin_rank_loss'
,
'elementwise_pow'
,
'fused_elemwise_activation'
,
'tree_conv'
,
'mul'
,
'teacher_student_sigmoid_loss'
]
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