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体验新版 GitCode,发现更多精彩内容 >>
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7a4c29e0
编写于
2月 20, 2020
作者:
W
wangchaochaohu
提交者:
GitHub
2月 20, 2020
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差异文件
add fuse_group python unitest (#22532)
* add fuse_group python unintest
上级
405bb94b
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
113 addition
and
0 deletion
+113
-0
python/paddle/fluid/tests/unittests/ir/CMakeLists.txt
python/paddle/fluid/tests/unittests/ir/CMakeLists.txt
+4
-0
python/paddle/fluid/tests/unittests/ir/test_ir_fusion_group.py
...n/paddle/fluid/tests/unittests/ir/test_ir_fusion_group.py
+109
-0
未找到文件。
python/paddle/fluid/tests/unittests/ir/CMakeLists.txt
浏览文件 @
7a4c29e0
file
(
GLOB TEST_IR_PASSES RELATIVE
"
${
CMAKE_CURRENT_SOURCE_DIR
}
"
"test_*.py"
)
string
(
REPLACE
".py"
""
TEST_IR_PASSES
"
${
TEST_IR_PASSES
}
"
)
if
(
NOT WITH_GPU OR WIN32 OR APPLE
)
LIST
(
REMOVE_ITEM TEST_IR_PASSES test_ir_fusion_group
)
endif
()
foreach
(
target
${
TEST_IR_PASSES
}
)
py_test_modules
(
${
target
}
MODULES
${
target
}
)
endforeach
()
...
...
python/paddle/fluid/tests/unittests/ir/test_ir_fusion_group.py
0 → 100644
浏览文件 @
7a4c29e0
# Copyright (c) 2020 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.
import
unittest
import
numpy
as
np
from
pass_test
import
PassTest
import
paddle.fluid
as
fluid
import
paddle.fluid.core
as
core
class
FusionGroupPassTest
(
PassTest
):
def
setUp
(
self
):
with
fluid
.
program_guard
(
self
.
main_program
,
self
.
startup_program
):
data1
=
fluid
.
data
(
name
=
"data1"
,
shape
=
[
32
,
128
],
dtype
=
"float32"
)
data2
=
fluid
.
data
(
name
=
"data2"
,
shape
=
[
32
,
128
],
dtype
=
"float32"
)
data3
=
fluid
.
data
(
name
=
"data3"
,
shape
=
[
32
,
128
],
dtype
=
"float32"
)
tmp_1
=
fluid
.
layers
.
elementwise_add
(
data1
,
data2
)
tmp_2
=
fluid
.
layers
.
elementwise_mul
(
data3
,
tmp_1
)
self
.
feeds
=
{
"data1"
:
np
.
random
.
random
((
32
,
128
)).
astype
(
"float32"
),
"data2"
:
np
.
random
.
random
((
32
,
128
)).
astype
(
"float32"
),
"data3"
:
np
.
random
.
random
((
32
,
128
)).
astype
(
"float32"
)
}
self
.
fetch_list
=
[
tmp_1
,
tmp_2
]
self
.
pass_names
=
"fusion_group_pass"
self
.
fused_op_type
=
"fusion_group"
self
.
num_fused_ops
=
1
def
test_check_output
(
self
):
use_gpu_set
=
[]
if
core
.
is_compiled_with_cuda
():
use_gpu_set
.
append
(
True
)
for
use_gpu
in
use_gpu_set
:
self
.
pass_attrs
=
{
"fusion_group_pass"
:
{
"use_gpu"
:
use_gpu
}}
place
=
fluid
.
CUDAPlace
(
0
)
if
use_gpu
else
fluid
.
CPUPlace
()
self
.
check_output_with_place
(
place
,
startup_on_cpu
=
False
)
class
FusionGroupPassTest1
(
FusionGroupPassTest
):
def
setUp
(
self
):
with
fluid
.
program_guard
(
self
.
main_program
,
self
.
startup_program
):
data
=
[]
for
i
in
range
(
5
):
data
.
append
(
fluid
.
data
(
name
=
(
"data"
+
str
(
i
)),
shape
=
[
32
,
128
],
dtype
=
"float32"
))
tmp_1
=
(
fluid
.
layers
.
assign
(
data
[
0
])
*
fluid
.
layers
.
sigmoid
(
data
[
1
])
)
+
(
fluid
.
layers
.
sigmoid
(
data
[
2
])
*
fluid
.
layers
.
tanh
(
data
[
3
]))
tmp_2
=
fluid
.
layers
.
tanh
(
tmp_1
)
+
fluid
.
layers
.
sigmoid
(
data
[
4
])
self
.
feeds
=
{}
for
i
in
range
(
5
):
self
.
feeds
[
"data"
+
str
(
i
)]
=
np
.
random
.
random
(
(
32
,
128
)).
astype
(
"float32"
)
self
.
fetch_list
=
[
tmp_1
,
tmp_2
]
self
.
pass_names
=
"fusion_group_pass"
self
.
fused_op_type
=
"fusion_group"
self
.
num_fused_ops
=
1
class
FusionGroupPassTest2
(
FusionGroupPassTest
):
def
setUp
(
self
):
with
fluid
.
program_guard
(
self
.
main_program
,
self
.
startup_program
):
data
=
[]
for
i
in
range
(
3
):
data
.
append
(
fluid
.
data
(
name
=
(
"data"
+
str
(
i
)),
shape
=
[
32
,
128
],
dtype
=
"float32"
))
data
.
append
(
fluid
.
data
(
name
=
"data3"
,
shape
=
[
128
,
32
],
dtype
=
"float32"
))
tmp_1
=
fluid
.
layers
.
relu
((
data
[
0
]
-
data
[
1
])
*
data
[
2
])
tmp_2
=
fluid
.
layers
.
sigmoid
(
data
[
3
])
tmp_3
=
fluid
.
layers
.
relu
(
tmp_2
)
tmp_4
=
fluid
.
layers
.
mul
(
tmp_1
,
tmp_3
)
self
.
feeds
=
{}
for
i
in
range
(
3
):
self
.
feeds
[
"data"
+
str
(
i
)]
=
np
.
random
.
random
(
(
32
,
128
)).
astype
(
"float32"
)
self
.
feeds
[
"data3"
]
=
np
.
random
.
random
((
128
,
32
)).
astype
(
"float32"
)
self
.
fetch_list
=
[
tmp_1
,
tmp_2
,
tmp_3
,
tmp_4
]
self
.
pass_names
=
"fusion_group_pass"
self
.
fused_op_type
=
"fusion_group"
self
.
num_fused_ops
=
2
if
__name__
==
"__main__"
:
unittest
.
main
()
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