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4e81e228
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PaddleDetection
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4e81e228
编写于
9月 27, 2018
作者:
C
chengduo
提交者:
GitHub
9月 27, 2018
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差异文件
add op frequence (#13328)
上级
fd4c4df9
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
111 addition
and
1 deletion
+111
-1
paddle/fluid/API.spec
paddle/fluid/API.spec
+1
-0
python/paddle/fluid/contrib/__init__.py
python/paddle/fluid/contrib/__init__.py
+6
-1
python/paddle/fluid/contrib/op_frequence.py
python/paddle/fluid/contrib/op_frequence.py
+104
-0
未找到文件。
paddle/fluid/API.spec
浏览文件 @
4e81e228
...
...
@@ -298,6 +298,7 @@ paddle.fluid.contrib.BeamSearchDecoder.early_stop ArgSpec(args=['self'], varargs
paddle.fluid.contrib.BeamSearchDecoder.read_array ArgSpec(args=['self', 'init', 'is_ids', 'is_scores'], varargs=None, keywords=None, defaults=(False, False))
paddle.fluid.contrib.BeamSearchDecoder.update_array ArgSpec(args=['self', 'array', 'value'], varargs=None, keywords=None, defaults=None)
paddle.fluid.contrib.memory_usage ArgSpec(args=['program', 'batch_size'], varargs=None, keywords=None, defaults=None)
paddle.fluid.contrib.op_freq_statistic ArgSpec(args=['program'], varargs=None, keywords=None, defaults=None)
paddle.fluid.transpiler.DistributeTranspiler.__init__ ArgSpec(args=['self', 'config'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.transpiler.DistributeTranspiler.get_pserver_program ArgSpec(args=['self', 'endpoint'], varargs=None, keywords=None, defaults=None)
paddle.fluid.transpiler.DistributeTranspiler.get_pserver_programs ArgSpec(args=['self', 'endpoint'], varargs=None, keywords=None, defaults=None)
...
...
python/paddle/fluid/contrib/__init__.py
浏览文件 @
4e81e228
...
...
@@ -18,5 +18,10 @@ from . import decoder
from
.decoder
import
*
from
.
import
memory_usage_calc
from
.memory_usage_calc
import
*
from
.
import
op_frequence
from
.op_frequence
import
*
__all__
=
decoder
.
__all__
+
memory_usage_calc
.
__all__
__all__
=
[]
__all__
+=
decoder
.
__all__
__all__
+=
memory_usage_calc
.
__all__
__all__
+=
op_frequence
.
__all__
python/paddle/fluid/contrib/op_frequence.py
0 → 100644
浏览文件 @
4e81e228
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
# 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
from
collections
import
OrderedDict
from
..framework
import
Program
__all__
=
[
'op_freq_statistic'
]
def
op_freq_statistic
(
program
):
"""
Statistics of Op frequency.
Args:
program(Program): The current Program.
Returns:
uni_op_freq(dict): the single op frequency.
adj_2_op_freq(dict): the two adjacent ops frequency.
Examples:
>>> import paddle.fluid as fluid
>>> uni_op_freq, adj_2_op_freq = fluid.contrib.op_freq_statistic(
>>> fluid.default_main_program())
>>> for op_type, op_num in uni_op_freq:
>>> print("%s
\t
%d" % (op_type, op_num))
>>> for op_type, op_num in adj_2_op_freq:
>>> print("%s
\t
%d" % (op_type, op_num))
"""
if
not
isinstance
(
program
,
Program
):
raise
TypeError
(
"The input type should be Porgram."
"But you passed in %s"
%
(
type
(
program
)))
uni_op_freq
=
OrderedDict
()
adj_2_op_freq
=
OrderedDict
()
op_in_ops
=
OrderedDict
()
parameters
=
[
p
.
name
for
p
in
program
.
blocks
[
0
].
all_parameters
()]
# get uni_op_freq
for
op
in
program
.
global_block
().
ops
:
had_recorded
=
False
for
var_name
in
op
.
output_arg_names
:
if
var_name
in
parameters
:
continue
if
not
had_recorded
and
uni_op_freq
.
has_key
(
op
.
type
):
uni_op_freq
[
op
.
type
]
+=
1
had_recorded
=
True
elif
not
had_recorded
:
uni_op_freq
[
op
.
type
]
=
1
had_recorded
=
True
# get adj_2_op_freq
var_gen_op
=
{}
for
op
in
program
.
global_block
().
ops
:
for
var_name
in
op
.
input_arg_names
:
if
var_name
in
parameters
:
continue
if
var_gen_op
.
has_key
(
var_name
):
assert
len
(
var_gen_op
[
var_name
])
>
0
if
op_in_ops
.
has_key
(
op
.
type
):
op_in_ops
[
op
.
type
].
append
(
var_gen_op
[
var_name
][
-
1
])
else
:
op_in_ops
[
op
.
type
]
=
[
var_gen_op
[
var_name
][
-
1
]]
else
:
print
(
"Var's generate op is not found,%s, %s"
%
(
var_name
,
op
.
type
))
for
var_name
in
op
.
output_arg_names
:
if
var_gen_op
.
has_key
(
var_name
):
var_gen_op
[
var_name
].
append
(
op
.
type
)
else
:
var_gen_op
[
var_name
]
=
[
op
.
type
]
for
op
,
in_ops
in
op_in_ops
.
iteritems
():
for
in_op
in
in_ops
:
op_op
=
in_op
+
"->"
+
op
if
adj_2_op_freq
.
has_key
(
op_op
):
adj_2_op_freq
[
op_op
]
+=
1
else
:
adj_2_op_freq
[
op_op
]
=
1
uni_op_freq
=
sorted
(
uni_op_freq
.
items
(),
key
=
lambda
item
:
item
[
1
],
reverse
=
True
)
adj_2_op_freq
=
sorted
(
adj_2_op_freq
.
items
(),
key
=
lambda
item
:
item
[
1
],
reverse
=
True
)
return
uni_op_freq
,
adj_2_op_freq
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