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8a2667cd
编写于
4月 08, 2018
作者:
L
Liu Yiqun
浏览文件
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差异文件
Merge branch 'develop' into core_inference_prepare
上级
a9e826ed
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11 changed file
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235 deletion
+75
-235
doc/design/file_manager/README.md
doc/design/file_manager/README.md
+0
-87
doc/design/file_manager/pfs/pfsclient.md
doc/design/file_manager/pfs/pfsclient.md
+0
-129
doc/design/file_manager/src/filemanager.graffle
doc/design/file_manager/src/filemanager.graffle
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-0
doc/design/file_manager/src/filemanager.png
doc/design/file_manager/src/filemanager.png
+0
-0
paddle/fluid/operators/reader/create_batch_reader_op.cc
paddle/fluid/operators/reader/create_batch_reader_op.cc
+5
-2
paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
.../fluid/operators/reader/create_double_buffer_reader_op.cc
+5
-2
paddle/fluid/operators/reader/create_multi_pass_reader_op.cc
paddle/fluid/operators/reader/create_multi_pass_reader_op.cc
+6
-3
paddle/fluid/operators/reader/create_shuffle_reader_op.cc
paddle/fluid/operators/reader/create_shuffle_reader_op.cc
+6
-2
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+14
-0
python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
+37
-8
python/paddle/fluid/tests/unittests/test_recordio_reader.py
python/paddle/fluid/tests/unittests/test_recordio_reader.py
+2
-2
未找到文件。
doc/design/file_manager/README.md
已删除
100644 → 0
浏览文件 @
a9e826ed
# FileManager设计文档
## 目标
在本文档中,我们设计说明了名为FileManager系统,方便用户上传自己的训练数据以进行分布式训练
主要功能包括:
-
提供常用的命令行管理命令管理文件和目录
-
支持大文件的断点上传、下载
## 名词解释
-
PFS:是
`Paddlepaddle cloud File System`
的缩写,是对用户文件存储空间的抽象,与之相对的是local filesystem。目前我们用CephFS来搭建。
-
[
CephFS
](
http://docs.ceph.com/docs/master/cephfs/
)
:一个POSIX兼容的文件系统。
-
Chunk:逻辑划上文件分块的单位。
## 模块
### 架构图
<image
src=
./src/filemanager.png
width=
900
>
### PFSClient
-
功能: 详细设计
[
link
](
./pfs/pfsclient.md
)
-
提供用户管理文件的命令
-
需要可以跨平台执行
-
双向验证
PFSClient需要和Ingress之间做双向验证
<sup>
[
tls
](
#tls
)
</sup>
,所以用户需要首先在
`cloud.paddlepaddle.org`
上注册一下,申请用户空间,并且把系统生成的CA(certificate authority)、Key、CRT(CA signed certificate)下载到本地,然后才能使用PFSClient。
### [Ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/)
-
功能:
提供七层协议的反向代理、基于粘性会话的负载均衡功能。
-
透传用户身份的办法
Ingress需要把PFSClient的身份信息传给PFSServer,配置的方法参考
[
link
](
http://www.integralist.co.uk/posts/clientcertauth.html#3
)
### PFSServer
PFSServer提供RESTful API接口,接收处理PFSClient端的文件管理请求,并且把结果返回PFSClient端。
RESTful API
-
/api/v1/files
-
`GET /api/v1/files`
: Get metadata of files or directories.
-
`POST /api/v1/files`
: Create files or directories.
-
`PATCH /api/v1/files`
: Update files or directories.
-
`DELETE /api/v1/files`
: Delete files or directories.
-
/api/v1/file/chunks
-
`GET /api/v1/storage/file/chunks`
: Get chunks's metadata of a file.
-
/api/v1/storage/files
-
`GET /api/v1/storage/files`
: Download files or directories.
-
`POST /api/v1/storage/files`
: Upload files or directories.
-
/api/v1/storage/file/chunks
-
`GET /api/v1/storage/file/chunks`
: Download chunks's data.
-
`POST /api/v1/storage/file/chunks`
: Upload chunks's data.
## 文件传输优化
### 分块文件传输
用户文件可能是比较大的,上传到Cloud或者下载到本地的时间可能比较长,而且在传输的过程中也可能出现网络不稳定的情况。为了应对以上的问题,我们提出了Chunk的概念,一个Chunk由所在的文件偏移、数据、数据长度及校验值组成。文件的上传和下载都是通过对Chunk的操作来实现的。由于Chunk比较小(默认256K),完成一个传输动作完成的时间也比较短,不容易出错。PFSClient需要在传输完毕最后一个Chunk的时候检查destination文件的MD5值是否和source文件一致。
一个典型的Chunk如下所示:
```
type Chunk struct {
fileOffset int64
checksum uint32
len uint32
data []byte
}
```
### 生成sparse文件
当destination文件不存在或者大小和source文件不一致时,可以用
[
Fallocate
](
https://Go.org/pkg/syscall/#Fallocate
)
生成sparse文件,然后就可以并发写入多个Chunk。
### 覆盖不一致的部分
文件传输的的关键在于需要PFSClient端对比source和destination的文件Chunks的checksum是否保持一致,不一致的由PFSClient下载或者传输Chunk完成。这样已经传输成功的部分就不用重新传输了。
## 用户使用流程
参考
[
link
](
https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/cluster_train/data_dispatch.md
)
## 框架生成
用
[
swagger
](
https://github.com/swagger-api/swagger-codegen
)
生成PFSClient和PFSServer的框架部分,以便我们可以把更多的精力放到逻辑本身上。
## 参考文档
-
<a
name=
tls
></a>
[
TLS complete guide
](
https://github.com/k8sp/tls/blob/master/tls.md
)
-
[
aws.s3
](
http://docs.aws.amazon.com/cli/latest/reference/s3/
)
-
[
linux man document
](
https://linux.die.net/man/
)
doc/design/file_manager/pfs/pfsclient.md
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# PFSClient
## Description
The
`pfs`
command is a Command Line Interface to manage your files on PaddlePaddle Cloud
## Synopsis
```
paddle [options] pfs <subcommand> [parameters]
```
## Options
```
--profile (string)
Use a specific profile from your credential file.
--help (string)
Display more information about command
--version
Output version information and exit
--debug
Show detailed debugging log
--only-show-errors (boolean)
Only errors and warnings are displayed. All other output is suppressed.
```
## Path Arguments
When using a command, we need to specify path arguments. There are two path argument type:
`localpath`
and
`pfspath`
.
A
`pfspath`
begin with
`/pfs`
, eg:
`/pfs/$DATACENTER/home/$USER/folder`
.
[
Here
](
https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/cluster_train/data_dispatch.md#上传训练文件
)
is how to config datacenters.
## order of Path Arguments
Commonly, if there are two path arguments, the first is the source, and the second is the destination.
## Subcommonds
-
rm - remove files or directories
```
Synopsis:
rm [-r] [-v] <PFSPath> ...
Options:
-r
Remove directories and their contents recursively
-v
Cause rm to be verbose, showing files after they are removed.
Examples:
paddle pfs rm /pfs/$DATACENTER/home/$USER/file
paddle pfs rm -r /pfs/$DATACENTER/home/$USER/folder
```
-
mv - move (rename) files
```
Synopsis:
mv [-f | -n] [-v] <LocalPath> <PFSPath>
mv [-f | -n] [-v] <LocalPath> ... <PFSPath>
mv [-f | -n] [-v] <PFSPath> <LocalPath>
mv [-f | -n] [-v] <PFSPath> ... <LocalPath>
mv [-f | -n] [-v] <PFSPath> <PFSPath>
mv [-f | -n] [-v] <PFSPath> ... <PFSPath>
Options:
-f
Do not prompt for confirmation before overwriting the destination path. (The -f option overrides previous -n options.)
-n
Do not overwrite an existing file. (The -n option overrides previous -f options.)
-v
Cause mv to be verbose, showing files after they are moved.
Examples:
paddle pfs mv ./text1.txt /pfs/$DATACENTER/home/$USER/text1.txt
```
-
cp - copy files or directories
```
Synopsis:
cp [-r] [-f | -n] [-v] [--preserve--links] <LocalPath> <PFSPath>
cp [-r] [-f | -n] [-v] [--preserve--links] <LocalPath> ... <PFSPath>
cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> <LocalPath>
cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> ... <LocalPath>
cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> <PFSPath>
cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> ... <PFSPath>
Options:
-r
Copy directories recursively
-f
Do not prompt for confirmation before overwriting the destination path. (The -f option overrides previous -n options.)
-n
Do not overwrite an existing file. (The -n option overrides previous -f options.)
-v
Cause cp to be verbose, showing files after they are copied.
--preserve--links
Reserve links when copy links
Examples:
paddle pfs cp ./file /pfs/$DATACENTER/home/$USER/file
paddle pfs cp /pfs/$DATACENTER/home/$USER/file ./file
```
-
ls- list files
```
Synopsis:
ls [-r] <PFSPath> ...
Options:
-R
List directory(ies) recursively
Examples:
paddle pfs ls /pfs/$DATACENTER/home/$USER/file
paddle pfs ls /pfs/$DATACENTER/home/$USER/folder
```
-
mkdir - mkdir directory(ies)
Create intermediate directory(ies) as required.
```
Synopsis:
mkdir <PFSPath> ...
Examples:
paddle pfs mkdir /pfs/$DATACENTER/home/$USER/folder
```
doc/design/file_manager/src/filemanager.graffle
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文件已删除
doc/design/file_manager/src/filemanager.png
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浏览文件 @
a9e826ed
141.7 KB
paddle/fluid/operators/reader/create_batch_reader_op.cc
浏览文件 @
8a2667cd
...
...
@@ -39,10 +39,13 @@ class CreateBatchReaderOp : public framework::OperatorBase {
private:
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
override
{
const
auto
&
underlying_reader
=
scope
.
FindVar
(
Input
(
"UnderlyingReader"
))
->
Get
<
framework
::
ReaderHolder
>
();
auto
*
out
=
scope
.
FindVar
(
Output
(
"Out"
))
->
template
GetMutable
<
framework
::
ReaderHolder
>();
if
(
out
->
Get
()
!=
nullptr
)
{
return
;
}
const
auto
&
underlying_reader
=
scope
.
FindVar
(
Input
(
"UnderlyingReader"
))
->
Get
<
framework
::
ReaderHolder
>
();
out
->
Reset
(
new
BatchReader
(
underlying_reader
.
Get
(),
Attr
<
int
>
(
"batch_size"
)));
}
...
...
paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
浏览文件 @
8a2667cd
...
...
@@ -99,10 +99,13 @@ class CreateDoubleBufferReaderOp : public framework::OperatorBase {
private:
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
override
{
const
auto
&
underlying_reader
=
scope
.
FindVar
(
Input
(
"UnderlyingReader"
))
->
Get
<
framework
::
ReaderHolder
>
();
auto
*
out
=
scope
.
FindVar
(
Output
(
"Out"
))
->
template
GetMutable
<
framework
::
ReaderHolder
>();
if
(
out
->
Get
()
!=
nullptr
)
{
return
;
}
const
auto
&
underlying_reader
=
scope
.
FindVar
(
Input
(
"UnderlyingReader"
))
->
Get
<
framework
::
ReaderHolder
>
();
auto
place_str
=
Attr
<
std
::
string
>
(
"place"
);
platform
::
Place
place
;
...
...
paddle/fluid/operators/reader/create_multi_pass_reader_op.cc
浏览文件 @
8a2667cd
...
...
@@ -62,12 +62,15 @@ class CreateMultiPassReaderOp : public framework::OperatorBase {
private:
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
override
{
auto
*
out
=
detail
::
Ref
(
scope
.
FindVar
(
Output
(
"Out"
)))
.
GetMutable
<
framework
::
ReaderHolder
>
();
if
(
out
->
Get
()
!=
nullptr
)
{
return
;
}
const
auto
&
underlying_reader
=
scope
.
FindVar
(
Input
(
"UnderlyingReader"
))
->
Get
<
framework
::
ReaderHolder
>
();
auto
&
out
=
detail
::
Ref
(
scope
.
FindVar
(
Output
(
"Out"
)));
int
pass_num
=
Attr
<
int
>
(
"pass_num"
);
out
.
GetMutable
<
framework
::
ReaderHolder
>
()
->
Reset
(
new
MultiPassReader
(
underlying_reader
.
Get
(),
pass_num
));
out
->
Reset
(
new
MultiPassReader
(
underlying_reader
.
Get
(),
pass_num
));
}
};
...
...
paddle/fluid/operators/reader/create_shuffle_reader_op.cc
浏览文件 @
8a2667cd
...
...
@@ -80,10 +80,14 @@ class CreateShuffleReaderOp : public framework::OperatorBase {
private:
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
override
{
auto
*
out
=
detail
::
Ref
(
scope
.
FindVar
(
Output
(
"Out"
)))
.
GetMutable
<
framework
::
ReaderHolder
>
();
if
(
out
->
Get
()
!=
nullptr
)
{
return
;
}
const
auto
&
underlying_reader
=
scope
.
FindVar
(
Input
(
"UnderlyingReader"
))
->
Get
<
framework
::
ReaderHolder
>
();
auto
&
var
=
detail
::
Ref
(
scope
.
FindVar
(
Output
(
"Out"
)));
var
.
GetMutable
<
framework
::
ReaderHolder
>
()
->
Reset
(
out
->
Reset
(
new
ShuffleReader
(
underlying_reader
.
Get
(),
static_cast
<
size_t
>
(
Attr
<
int
>
(
"buffer_size"
))));
}
...
...
python/paddle/fluid/framework.py
浏览文件 @
8a2667cd
...
...
@@ -640,6 +640,20 @@ class Operator(object):
"""
return
self
.
desc
.
block_attr
(
name
)
def
all_attrs
(
self
):
"""
Get the attribute dict
Returns(dict): The Operator's attribute dict
"""
attr_names
=
self
.
attr_names
attr_map
=
{}
for
n
in
attr_names
:
if
n
==
'sub_block'
:
attr_map
[
n
]
=
self
.
block_attr
(
n
)
else
:
attr_map
[
n
]
=
self
.
attr
(
n
)
return
attr_map
class
Block
(
object
):
def
__init__
(
self
,
program
,
idx
):
...
...
python/paddle/fluid/layers/io.py
浏览文件 @
8a2667cd
...
...
@@ -255,7 +255,32 @@ def _copy_reader_var_(block, var):
new_var
.
desc
.
set_shapes
(
var
.
desc
.
shapes
())
new_var
.
desc
.
set_dtypes
(
var
.
desc
.
dtypes
())
new_var
.
persistable
=
True
return
monkey_patch_reader_methods
(
new_var
)
return
new_var
def
_copy_reader_create_op_
(
block
,
op
):
input_param_names
=
op
.
input_names
new_input_map
=
{}
for
param_name
in
input_param_names
:
new_input_map
[
param_name
]
=
[]
arg_names
=
op
.
input
(
param_name
)
for
arg_name
in
arg_names
:
new_input_map
[
param_name
].
append
(
block
.
var
(
arg_name
))
output_param_names
=
op
.
output_names
new_output_map
=
{}
for
param_name
in
output_param_names
:
new_output_map
[
param_name
]
=
[]
arg_names
=
op
.
output
(
param_name
)
for
arg_name
in
arg_names
:
new_output_map
[
param_name
].
append
(
block
.
var
(
arg_name
))
new_op
=
block
.
append_op
(
type
=
op
.
type
,
inputs
=
new_input_map
,
outputs
=
new_output_map
,
attrs
=
op
.
all_attrs
())
return
new_op
def
open_recordio_file
(
filename
,
shapes
,
lod_levels
,
dtypes
):
...
...
@@ -283,8 +308,9 @@ def open_recordio_file(filename, shapes, lod_levels, dtypes):
startup_var
.
desc
.
set_dtypes
(
dtypes
)
startup_var
.
persistable
=
True
return
_copy_reader_var_
(
default_main_program
().
current_block
(),
main_prog_var
=
_copy_reader_var_
(
default_main_program
().
current_block
(),
startup_var
)
return
monkey_patch_reader_methods
(
main_prog_var
)
def
open_files
(
filenames
,
thread_num
,
shapes
,
lod_levels
,
dtypes
):
...
...
@@ -313,22 +339,25 @@ def open_files(filenames, thread_num, shapes, lod_levels, dtypes):
startup_var
.
desc
.
set_dtypes
(
dtypes
)
startup_var
.
persistable
=
True
return
_copy_reader_var_
(
default_main_program
().
current_block
(),
main_prog_var
=
_copy_reader_var_
(
default_main_program
().
current_block
(),
startup_var
)
return
monkey_patch_reader_methods
(
main_prog_var
)
def
__create_decorated_reader__
(
op_type
,
reader
,
attrs
):
var_name
=
unique_name
(
op_type
)
startup_blk
=
default_startup_program
().
current_block
()
startup_var
=
startup_blk
.
create_var
(
name
=
var_name
)
startup_blk
.
append_op
(
start
op_op
=
start
up_blk
.
append_op
(
type
=
op_type
,
inputs
=
{
'UnderlyingReader'
:
reader
},
outputs
=
{
'Out'
:
[
startup_var
]},
attrs
=
attrs
)
startup_var
.
persistable
=
True
return
_copy_reader_var_
(
default_main_program
().
current_block
(),
startup_var
)
main_prog_block
=
default_main_program
().
current_block
()
main_prog_var
=
_copy_reader_var_
(
main_prog_block
,
startup_var
)
_copy_reader_create_op_
(
main_prog_block
,
startop_op
)
return
monkey_patch_reader_methods
(
main_prog_var
)
def
create_shuffle_reader
(
reader
,
buffer_size
):
...
...
python/paddle/fluid/tests/unittests/test_recordio_reader.py
浏览文件 @
8a2667cd
...
...
@@ -15,8 +15,8 @@
import
unittest
import
paddle.fluid
as
fluid
import
paddle
import
paddle.dataset.mnist
as
mnist
import
paddle
.v2
as
paddle
import
paddle.
v2.
dataset.mnist
as
mnist
class
TestRecordIO
(
unittest
.
TestCase
):
...
...
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