From 424055f01c85cd90e70962862aae64104a5d60cb Mon Sep 17 00:00:00 2001 From: Travis CI Date: Tue, 26 Dec 2017 02:20:53 +0000 Subject: [PATCH] Deploy to GitHub Pages: 1398854ffb1a943b9210b4eeeba9ce47817db0af --- develop/doc/api/v2/data/data_reader.html | 69 ++++++------------- develop/doc/searchindex.js | 2 +- .../faq/build_and_install/index_cn.rst.txt | 28 ++++++++ develop/doc_cn/api/v2/data/data_reader.html | 69 ++++++------------- .../faq/build_and_install/index_cn.html | 25 +++++++ develop/doc_cn/searchindex.js | 2 +- 6 files changed, 99 insertions(+), 96 deletions(-) diff --git a/develop/doc/api/v2/data/data_reader.html b/develop/doc/api/v2/data/data_reader.html index 3de4c80d4f..662bd9a3ae 100644 --- a/develop/doc/api/v2/data/data_reader.html +++ b/develop/doc/api/v2/data/data_reader.html @@ -730,60 +730,33 @@ And this function contains a buffered decorator. :rtype: callable

-
+
-paddle.v2.reader.pipe_reader(left_cmd, parser, bufsize=8192, file_type='plain', cut_lines=True, line_break='\n')
-
-

pipe_reader read data by stream from a command, take it’s +class paddle.v2.reader.PipeReader(command, bufsize=8192, file_type='plain') +

PipeReader read data by stream from a command, take it’s stdout into a pipe buffer and redirect it to the parser to parse, then yield data as your desired format.

You can using standard linux command or call another program to read data, from HDFS, Ceph, URL, AWS S3 etc:

-

cmd = “hadoop fs -cat /path/to/some/file” -cmd = “cat sample_file.tar.gz” -cmd = “curl http://someurl” -cmd = “python print_s3_bucket.py”

-

A sample parser:

-
-
def sample_parser(lines):
-

# parse each line as one sample data, -# return a list of samples as batches. -ret = [] -for l in lines:

-
-
ret.append(l.split(” ”)[1:5])
-

return ret

-
-
- +

An example:

+
def example_reader():
+    for f in myfiles:
+        pr = PipeReader("cat %s"%f)
+        for l in pr.get_line():
+            sample = l.split(" ")
+            yield sample
+
+
+
+
+get_line(cut_lines=True, line_break='\n')
+
+
- - - - - - - - - - - - - - - - - - + @@ -802,9 +775,9 @@ to the parser - + - +
param left_cmd:command to excute to get stdout from.
type left_cmd:string
param parser:parser function to parse lines of data. -if cut_lines is True, parser will receive list -of lines. -if cut_lines is False, parser will receive a -raw buffer each time. -parser should return a list of parsed values.
type parser:callable
param bufsize:the buffer size used for the stdout pipe.
type bufsize:int
param file_type:
 can be plain/gzip, stream buffer data type.
type file_type:string
param cut_lines:
 whether to pass lines instead of raw buffer -to the parser
 cut buffer to lines
type cut_lines:bool
type line_break:
 string
return:the reader generator.
return:one line or a buffer of bytes
rtype:callable
rtype:string
@@ -812,6 +785,8 @@ to the parser
+ +

Creator package contains some simple reader creator, which could be used in user program.

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\ No newline at end of file diff --git a/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt b/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt index a2bdeead78..ed8a0c7e87 100644 --- a/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt +++ b/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt @@ -109,3 +109,31 @@ PaddlePaddle使用avx SIMD指令提高cpu执行效率，因此错误的使用二 解决办法是： * 卸载PaddlePaddle包 :code:`pip uninstall paddle`, 清理掉老旧的PaddlePaddle安装包，使得单元测试有一个干净的环境。如果PaddlePaddle包已经在python的site-packages里面，单元测试会引用site-packages里面的python包，而不是源码目录里 :code:`/python` 目录下的python包。同时，即便设置 :code:`PYTHONPATH` 到 :code:`/python` 也没用，因为python的搜索路径是优先已经安装的python包。 + +8. 下载MKLML库失败 +------------------ + +.. code-block:: bash + + make[2]: *** [third_party/mklml/src/extern_mklml-stamp/extern_mklml-download] 错误 4 + make[1]: *** [CMakeFiles/extern_mklml.dir/all] 错误 2 + make[1]: *** 正在等待未完成的任务.... + +原因：网速或SSL链接原因，导致MKLML库下载不成功。 + +解决办法是：手动下载并安装，具体步骤如下。 + +.. code-block:: bash + + // 1. 进入对应的目录 + cd build/third_party/mklml/src/extern_mklml + + // 2. 查看包的大小， 正常情况下是75M，如果小于75M，即下载失败： + du -sh mklml_lnx_2018.0.1.20171007.tgz + + // 3. 手动下载且解压缩，并手动生成download成功标签： + wget --no-check-certificate https://github.com/01org/mkl-dnn/releases/download/v0.11/mklml_lnx_2018.0.1.20171007.tgz -c -O mklml_lnx_2018.0.1.20171007.tgz + tar zxf mklml_lnx_2018.0.1.20171007.tgz + touch ../extern_mklml-stamp/extern_mklml-download + + // 4. 接着编译即可 diff --git a/develop/doc_cn/api/v2/data/data_reader.html b/develop/doc_cn/api/v2/data/data_reader.html index 7056adebe8..3b399b6809 100644 --- a/develop/doc_cn/api/v2/data/data_reader.html +++ b/develop/doc_cn/api/v2/data/data_reader.html @@ -743,60 +743,33 @@ And this function contains a buffered decorator. :rtype: callable

-
+
-paddle.v2.reader.pipe_reader(left_cmd, parser, bufsize=8192, file_type='plain', cut_lines=True, line_break='\n')
-
-

pipe_reader read data by stream from a command, take it’s +class paddle.v2.reader.PipeReader(command, bufsize=8192, file_type='plain') +

PipeReader read data by stream from a command, take it’s stdout into a pipe buffer and redirect it to the parser to parse, then yield data as your desired format.

You can using standard linux command or call another program to read data, from HDFS, Ceph, URL, AWS S3 etc:

-

cmd = “hadoop fs -cat /path/to/some/file” -cmd = “cat sample_file.tar.gz” -cmd = “curl http://someurl” -cmd = “python print_s3_bucket.py”

-

A sample parser:

-
-
def sample_parser(lines):
-

# parse each line as one sample data, -# return a list of samples as batches. -ret = [] -for l in lines:

-
-
ret.append(l.split(” ”)[1:5])
-

return ret

-
-
- +

An example:

+
def example_reader():
+    for f in myfiles:
+        pr = PipeReader("cat %s"%f)
+        for l in pr.get_line():
+            sample = l.split(" ")
+            yield sample
+
+
+
+
+get_line(cut_lines=True, line_break='\n')
+
+
- - - - - - - - - - - - - - - - - - + @@ -815,9 +788,9 @@ to the parser - + - +
param left_cmd:command to excute to get stdout from.
type left_cmd:string
param parser:parser function to parse lines of data. -if cut_lines is True, parser will receive list -of lines. -if cut_lines is False, parser will receive a -raw buffer each time. -parser should return a list of parsed values.
type parser:callable
param bufsize:the buffer size used for the stdout pipe.
type bufsize:int
param file_type:
 can be plain/gzip, stream buffer data type.
type file_type:string
param cut_lines:
 whether to pass lines instead of raw buffer -to the parser
 cut buffer to lines
type cut_lines:bool
type line_break:
 string
return:the reader generator.
return:one line or a buffer of bytes
rtype:callable
rtype:string
@@ -825,6 +798,8 @@ to the parser
+ +

Creator package contains some simple reader creator, which could be used in user program.

diff --git a/develop/doc_cn/faq/build_and_install/index_cn.html b/develop/doc_cn/faq/build_and_install/index_cn.html index 05e3afcefd..7820ba1c2f 100644 --- a/develop/doc_cn/faq/build_and_install/index_cn.html +++ b/develop/doc_cn/faq/build_and_install/index_cn.html @@ -239,6 +239,7 @@
  • 5. 编译安装后执行 import paddle.v2 as paddle 报ImportError: No module named v2
  • 6. 遇到“非法指令”或者是“illegal instruction”
  • 7. python相关的单元测试都过不了
    • +
  • 8. 下载MKLML库失败
    • @@ -328,6 +329,30 @@ Please uninstall paddle package before start unittest. Try to &
  • 卸载PaddlePaddle包 pip uninstall paddle, 清理掉老旧的PaddlePaddle安装包，使得单元测试有一个干净的环境。如果PaddlePaddle包已经在python的site-packages里面，单元测试会引用site-packages里面的python包，而不是源码目录里 /python 目录下的python包。同时，即便设置 PYTHONPATH 到 /python 也没用，因为python的搜索路径是优先已经安装的python包。
    • +
    +

    8. 下载MKLML库失败

    +
    make[2]: *** [third_party/mklml/src/extern_mklml-stamp/extern_mklml-download] 错误 4
+make[1]: *** [CMakeFiles/extern_mklml.dir/all] 错误 2
+make[1]: *** 正在等待未完成的任务....
+
    +
    +

    原因：网速或SSL链接原因，导致MKLML库下载不成功。

    +

    解决办法是：手动下载并安装，具体步骤如下。

    +
    // 1. 进入对应的目录
+cd build/third_party/mklml/src/extern_mklml
+
+// 2. 查看包的大小， 正常情况下是75M，如果小于75M，即下载失败：
+du -sh mklml_lnx_2018.0.1.20171007.tgz
+
+// 3. 手动下载且解压缩，并手动生成download成功标签：
+wget --no-check-certificate https://github.com/01org/mkl-dnn/releases/download/v0.11/mklml_lnx_2018.0.1.20171007.tgz -c -O mklml_lnx_2018.0.1.20171007.tgz
+tar zxf mklml_lnx_2018.0.1.20171007.tgz
+touch ../extern_mklml-stamp/extern_mklml-download
+
+// 4. 接着编译即可
+
    +
    +
    diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js index c29614a596..382f0a7ca6 100644 --- a/develop/doc_cn/searchindex.js +++ b/develop/doc_cn/searchindex.js @@ -1 +1 @@ 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