Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
PaddleDetection
提交
b2435a3a
P
PaddleDetection
项目概览
PaddlePaddle
/
PaddleDetection
12 个月 前同步成功
通知
692
Star
11112
Fork
2696
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
184
列表
看板
标记
里程碑
合并请求
40
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
PaddleDetection
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
184
Issue
184
列表
看板
标记
里程碑
合并请求
40
合并请求
40
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
未验证
提交
b2435a3a
编写于
8月 09, 2018
作者:
C
Chen Weihang
提交者:
GitHub
8月 09, 2018
浏览文件
操作
浏览文件
下载
差异文件
Merge pull request #12374 from chenwhql/py_calc_memory
Add memory usage estimate API
上级
66be5326
8627ef33
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
175 addition
and
1 deletion
+175
-1
paddle/fluid/API.spec
paddle/fluid/API.spec
+1
-0
python/paddle/fluid/contrib/__init__.py
python/paddle/fluid/contrib/__init__.py
+3
-1
python/paddle/fluid/contrib/memory_usage_calc.py
python/paddle/fluid/contrib/memory_usage_calc.py
+102
-0
python/paddle/fluid/tests/unittests/test_memory_usage.py
python/paddle/fluid/tests/unittests/test_memory_usage.py
+69
-0
未找到文件。
paddle/fluid/API.spec
浏览文件 @
b2435a3a
...
...
@@ -336,6 +336,7 @@ paddle.fluid.contrib.BeamSearchDecoder.decode ArgSpec(args=['self'], varargs=Non
paddle.fluid.contrib.BeamSearchDecoder.early_stop ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None)
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.transpiler.DistributeTranspiler.__init__ ArgSpec(args=['self', 'config'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.transpiler.DistributeTranspiler.create_splited_vars ArgSpec(args=['self', 'source_var', 'block', 'tag'], varargs=None, keywords=None, defaults=None)
paddle.fluid.transpiler.DistributeTranspiler.get_pserver_program ArgSpec(args=['self', 'endpoint'], varargs=None, keywords=None, defaults=None)
...
...
python/paddle/fluid/contrib/__init__.py
浏览文件 @
b2435a3a
...
...
@@ -14,5 +14,7 @@
import
decoder
from
decoder
import
*
import
memory_usage_calc
from
memory_usage_calc
import
*
__all__
=
decoder
.
__all__
__all__
=
decoder
.
__all__
+
memory_usage_calc
.
__all__
python/paddle/fluid/contrib/memory_usage_calc.py
0 → 100644
浏览文件 @
b2435a3a
# 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.
"""
This module privides a memory usage calculate function for user.
The purpose of this API is to allow users to estimate memory usage of
a program under a special batch size, then user can set appropriate
batch size to fully utilize a GPU.
This API is still under active development and may change drastically.
"""
from
..
import
core
from
..framework
import
Program
,
Variable
__all__
=
[
'memory_usage'
]
dtype_to_size
=
{
core
.
VarDesc
.
VarType
.
FP16
:
2
,
core
.
VarDesc
.
VarType
.
FP32
:
4
,
core
.
VarDesc
.
VarType
.
FP64
:
8
,
core
.
VarDesc
.
VarType
.
INT16
:
2
,
core
.
VarDesc
.
VarType
.
INT32
:
4
,
core
.
VarDesc
.
VarType
.
INT64
:
8
,
core
.
VarDesc
.
VarType
.
BOOL
:
1
,
core
.
VarDesc
.
VarType
.
UINT8
:
1
,
}
DEBUG
=
False
def
memory_usage
(
program
,
batch_size
):
"""
Get the estimate memory usage of program with input batch size.
Args:
program(Program): The current Program.
batch_size(int): The current input data batch_size.
Returns:
min_total_memory(float): the estimate memory usage lower bound.
max_total_memory(float): the estimate memory usage upper bound.
unit_str(string): the unit of estimate usage result.
Examples:
>>> import paddle.fluid as fluid
>>> lower_usage, upper_usage, unit = fluid.contrib.memory_usage(
fluid.default_main_program(), batch_size=10)
>>> print "memory usage is about %.3f - %.3f %s" %
\
(lower_usage, upper_usage, unit)
"""
# Parameters check
if
not
isinstance
(
program
,
Program
):
raise
TypeError
(
"Calculating Memory Usage requires Program as its Parameter."
"But you passed in %s"
%
(
type
(
prgram
)))
if
batch_size
<=
0
:
raise
ValueError
(
"The batch size need to be positive."
)
# Get the var_name list of first block and calculate
total_memory
=
0.0
for
var
in
program
.
global_block
().
vars
.
itervalues
():
data_count
=
1
for
x
in
var
.
shape
:
if
x
==
-
1
:
data_count
*=
batch_size
else
:
data_count
*=
x
var_memory
=
data_count
*
dtype_to_size
[
var
.
dtype
]
if
DEBUG
:
print
"%s memory usage: %d"
%
(
var
.
name
,
var_memory
)
total_memory
+=
var_memory
if
DEBUG
:
print
"total memory usage: %.2f"
%
(
total_memory
)
# Convert appropriate unit
unit_str
=
"B"
if
total_memory
>
1024
:
total_memory
/=
1024
unit_str
=
"KB"
if
total_memory
>
1024
:
total_memory
/=
1024
unit_str
=
"MB"
# Append extra memory consumption (5% - 10%)
min_total_memory
=
total_memory
*
1.05
max_total_memory
=
total_memory
*
1.1
return
min_total_memory
,
max_total_memory
,
unit_str
python/paddle/fluid/tests/unittests/test_memory_usage.py
0 → 100644
浏览文件 @
b2435a3a
# 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
paddle
import
paddle.fluid
as
fluid
import
contextlib
import
unittest
def
train_simulator
(
test_batch_size
=
10
):
if
test_batch_size
<=
0
:
raise
ValueError
(
"batch_size should be a positive integeral value, "
"but got batch_size={}"
.
format
(
test_batch_size
))
x
=
fluid
.
layers
.
data
(
name
=
'x'
,
shape
=
[
13
],
dtype
=
'float32'
)
y_predict
=
fluid
.
layers
.
fc
(
input
=
x
,
size
=
1
,
act
=
None
)
y
=
fluid
.
layers
.
data
(
name
=
'y'
,
shape
=
[
1
],
dtype
=
'float32'
)
cost
=
fluid
.
layers
.
square_error_cost
(
input
=
y_predict
,
label
=
y
)
avg_cost
=
fluid
.
layers
.
mean
(
cost
)
sgd_optimizer
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
0.001
)
sgd_optimizer
.
minimize
(
avg_cost
)
# Calculate memory usage in current network config
lower_usage
,
upper_usage
,
unit
=
fluid
.
contrib
.
memory_usage
(
fluid
.
default_main_program
(),
batch_size
=
test_batch_size
)
print
(
"memory usage is about %.3f - %.3f %s"
%
(
lower_usage
,
upper_usage
,
unit
))
class
TestMemoryUsage
(
unittest
.
TestCase
):
def
test_with_unit_B
(
self
):
with
self
.
program_scope_guard
():
train_simulator
()
def
test_with_unit_KB
(
self
):
with
self
.
program_scope_guard
():
train_simulator
(
test_batch_size
=
1000
)
def
test_with_unit_MB
(
self
):
with
self
.
program_scope_guard
():
train_simulator
(
test_batch_size
=
100000
)
@
contextlib
.
contextmanager
def
program_scope_guard
(
self
):
prog
=
fluid
.
Program
()
startup_prog
=
fluid
.
Program
()
scope
=
fluid
.
core
.
Scope
()
with
fluid
.
scope_guard
(
scope
):
with
fluid
.
program_guard
(
prog
,
startup_prog
):
yield
if
__name__
==
'__main__'
:
unittest
.
main
()
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录