From 8122763b863e325b0135c861bef807351dc22a88 Mon Sep 17 00:00:00 2001 From: tianshuo78520a <707759223@qq.com> Date: Mon, 20 Jul 2020 14:47:06 +0800 Subject: [PATCH] update install doc for 1.8.3 (#2294) --- doc/fluid/install/Tables.md | 867 ++++++++++++++++----------------- doc/fluid/install/Tables_en.md | 498 ++++++++++--------- doc/fluid/install/index_cn.rst | 24 +- doc/fluid/install/index_en.rst | 24 +- 4 files changed, 705 insertions(+), 708 deletions(-) diff --git a/doc/fluid/install/Tables.md b/doc/fluid/install/Tables.md index 4f29e76ea..bd8df4cd1 100644 --- a/doc/fluid/install/Tables.md +++ b/doc/fluid/install/Tables.md @@ -5,106 +5,106 @@

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依赖包名称 版本 说明 安装命令
CMake 3.4
GCC (Linux Only) 4.8 / 5.4 推荐使用CentOS的devtools2
Clang (MacOS Only) 9.0及以上 通常使用MacOS 10.11及以上的系统对应的Clang版本即可
Python（64 bit） 2.7.x. 或 3.5+.x 依赖libpython2.7.so 或 libpython3.5+.so apt install python-dev 或 yum install python-devel 如果安装python3请访问Python 官网
SWIG 最低 2.0 apt install swig 或 yum install swig
wget any apt install wget 或 yum install wget
openblas any 可选
pip >=9.0.1 apt install python-pip 或 yum install python-pip
numpy >=1.12.0 pip install numpy
protobuf >=3.1.0 pip install protobuf
wheel any pip install wheel
patchELF any apt install patchelf 或参见github patchELF 官方文档
go >=1.8 可选
setuptools >= 28.0.0
unrar brew install unrar (For MacOS), apt-get install unrar (For Ubuntu)
依赖包名称 版本 说明 安装命令
CMake 3.4
GCC (Linux Only) 4.8 / 5.4 推荐使用CentOS的devtools2
Clang (MacOS Only) 9.0及以上 通常使用MacOS 10.11及以上的系统对应的Clang版本即可
Python（64 bit） 2.7.x. 或 3.5+.x 依赖libpython2.7.so 或 libpython3.5+.so apt install python-dev 或 yum install python-devel 如果安装python3请访问Python 官网
SWIG 最低 2.0 apt install swig 或 yum install swig
wget any apt install wget 或 yum install wget
openblas any 可选
pip >=9.0.1 apt install python-pip 或 yum install python-pip
numpy >=1.12.0 pip install numpy
protobuf >=3.1.0 pip install protobuf
wheel any pip install wheel
patchELF any apt install patchelf 或参见github patchELF 官方文档
go >=1.8 可选
setuptools >= 28.0.0
unrar brew install unrar (For MacOS), apt-get install unrar (For Ubuntu)

@@ -115,76 +115,76 @@

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选项 说明 默认值
WITH_GPU 是否支持GPU ON
WITH_DSO 是否运行时动态加载CUDA动态库，而非静态加载CUDA动态库 ON
WITH_AVX 是否编译含有AVX指令集的PaddlePaddle二进制文件 ON
WITH_PYTHON 是否内嵌PYTHON解释器 ON
WITH_TESTING 是否开启单元测试 OFF
WITH_MKL 是否使用MKL数学库，如果为否则是用OpenBLAS ON
WITH_SYSTEM_BLAS 是否使用系统自带的BLAS OFF
WITH_DISTRIBUTE 是否编译带有分布式的版本 OFF
WITH_BRPC_RDMA 是否使用BRPC RDMA作为RPC协议 OFF
ON_INFER 是否打开预测优化 OFF
CUDA_ARCH_NAME 是否只针对当前CUDA架构编译 All:编译所有可支持的CUDA架构 可选：Auto 自动识别当前环境的架构编译
TENSORRT_ROOT 指定TensorRT路径 Windows下默认值为'/'，Linux下默认值为 '/usr/'
选项 说明 默认值
WITH_GPU 是否支持GPU ON
WITH_DSO 是否运行时动态加载CUDA动态库，而非静态加载CUDA动态库 ON
WITH_AVX 是否编译含有AVX指令集的PaddlePaddle二进制文件 ON
WITH_PYTHON 是否内嵌PYTHON解释器 ON
WITH_TESTING 是否开启单元测试 OFF
WITH_MKL 是否使用MKL数学库，如果为否则是用OpenBLAS ON
WITH_SYSTEM_BLAS 是否使用系统自带的BLAS OFF
WITH_DISTRIBUTE 是否编译带有分布式的版本 OFF
WITH_BRPC_RDMA 是否使用BRPC RDMA作为RPC协议 OFF
ON_INFER 是否打开预测优化 OFF
CUDA_ARCH_NAME 是否只针对当前CUDA架构编译 All:编译所有可支持的CUDA架构 可选：Auto 自动识别当前环境的架构编译
TENSORRT_ROOT 指定TensorRT路径 Windows下默认值为'/'，Linux下默认值为 '/usr/'

@@ -220,25 +220,25 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。

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版本号 版本说明
paddlepaddle==[版本号] 例如 paddlepaddle==1.8.2 只支持CPU对应版本的PaddlePaddle，具体版本请参见Pypi
paddlepaddle-gpu==[版本号] 例如 paddlepaddle-gpu==1.8.2 默认安装支持CUDA 10.0和cuDNN 7的对应[版本号]的PaddlePaddle安装包
paddlepaddle-gpu==[版本号].postXX 例如 paddlepaddle-gpu==1.8.2.post97 支持CUDA 9.0和cuDNN 7的对应PaddlePaddle版本的安装包
版本号 版本说明
paddlepaddle==[版本号] 例如 paddlepaddle==1.8.3 只支持CPU对应版本的PaddlePaddle，具体版本请参见Pypi
paddlepaddle-gpu==[版本号] 例如 paddlepaddle-gpu==1.8.3 默认安装支持CUDA 10.0和cuDNN 7的对应[版本号]的PaddlePaddle安装包
paddlepaddle-gpu==[版本号].postXX 例如 paddlepaddle-gpu==1.8.3.post97 支持CUDA 9.0和cuDNN 7的对应PaddlePaddle版本的安装包

@@ -255,140 +255,140 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cpu-mkl - paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl - paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl - paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl - paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl - paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl
cpu-openblas - paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl - paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl - paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl - paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-openblas paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-mkl paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl
cuda10_cudnn7-mkl paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl
win_cpu_mkl - - paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl - paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl - paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl - paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl
win_cuda9_cudnn7_mkl - - paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl
win_cuda10_cudnn7_mkl - - paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl
win_cpu_openblas - - paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl - paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl - paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl - paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl
win_cuda9_cudnn7_openblas - - paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl
mac_cpu - - paddlepaddle-1.8.2-cp27-cp27m-macosx_10_6_intel.whl - paddlepaddle-1.8.2-cp35-cp35m-macosx_10_6_intel.whl - paddlepaddle-1.8.2-cp36-cp36m-macosx_10_6_intel.whl - paddlepaddle-1.8.2-cp37-cp37m-macosx_10_6_intel.whl
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cpu-mkl + paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl + paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl + paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl + paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl + paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl
cpu-openblas + paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl + paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl + paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl + paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-openblas paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-mkl paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl
cuda10_cudnn7-mkl paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl
win_cpu_mkl - + paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl + paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl + paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl + paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl
win_cuda9_cudnn7_mkl - + paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl
win_cuda10_cudnn7_mkl - + paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl
win_cpu_openblas - + paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl + paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl + paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl + paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl
win_cuda9_cudnn7_openblas - + paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl
mac_cpu - + paddlepaddle-1.8.3-cp27-cp27m-macosx_10_6_intel.whl + paddlepaddle-1.8.3-cp35-cp35m-macosx_10_6_intel.whl + paddlepaddle-1.8.3-cp36-cp36m-macosx_10_6_intel.whl + paddlepaddle-1.8.3-cp37-cp37m-macosx_10_6_intel.whl

@@ -437,68 +437,68 @@ platform tag: 类似 'linux_x86_64', 'any' ## **多版本whl包列表-dev**

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版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cpu-mkl - paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl - paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl - paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl - paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl - paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cpu-openblas - paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl - paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl - paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl - paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-openblas paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda10-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cpu-mkl + paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl + paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl + paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl + paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl + paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cpu-openblas + paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl + paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl + paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl + paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-openblas paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda10-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl

@@ -509,30 +509,30 @@ platform tag: 类似 'linux_x86_64', 'any' ## **多版本whl包列表(gcc8.2)-develop**

- - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + +
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl - paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl + paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl

@@ -543,30 +543,30 @@ platform tag: 类似 'linux_x86_64', 'any' ## **多版本whl包列表(gcc8.2)-release**

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版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl - paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl + paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl

@@ -638,4 +638,3 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}') docker run ${CUDA_SO} \ ${DEVICES} -it hub.baidubce.com/paddlepaddle/paddle:latest-gpu - diff --git a/doc/fluid/install/Tables_en.md b/doc/fluid/install/Tables_en.md index 8c17c48f3..1b5ecef85 100644 --- a/doc/fluid/install/Tables_en.md +++ b/doc/fluid/install/Tables_en.md @@ -28,10 +28,10 @@ - Clang (MacOS Only) - 9.0 and above - Usually use the clang version of MacOS 10.11 and above - + Clang (MacOS Only) + 9.0 and above + Usually use the clang version of MacOS 10.11 and above + Python（64 bit） @@ -94,17 +94,17 @@ - setuptools - >= 28.0.0 - - + setuptools + >= 28.0.0 + + - unrar - - - brew install unrar (For MacOS), apt-get install unrar (For Ubuntu) - + unrar + + + brew install unrar (For MacOS), apt-get install unrar (For Ubuntu) +

@@ -225,15 +225,15 @@ PaddePaddle implements references to various BLAS/CUDA/cuDNN libraries by specif - paddlepaddle==[version code] such as paddlepaddle==1.8.2 + paddlepaddle==[version code] such as paddlepaddle==1.8.3 Only support the corresponding version of the CPU PaddlePaddle, please refer to Pypi for the specific version. - paddlepaddle-gpu==[version code], such as paddlepaddle-gpu==1.8.2 + paddlepaddle-gpu==[version code], such as paddlepaddle-gpu==1.8.3 The default installation supports the PaddlePaddle installation package corresponding to [version number] of CUDA 10.0 and cuDNN 7 - paddlepaddle-gpu==[version code].postXX, such as paddlepaddle-gpu==1.8.2.post97 + paddlepaddle-gpu==[version code].postXX, such as paddlepaddle-gpu==1.8.3.post97 Installation package supporting the corresponding PaddlePaddle version of CUDA 9.0 and cuDNN 7 @@ -266,128 +266,128 @@ Please note that: in the commands, paddlepaddle-gpu will install - cpu-mkl - - paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl - - paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl - - paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl - - paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl - - paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl - - - cpu-openblas - - paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl - paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl - - paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl - - paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl - - paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl - - - cuda9-cudnn7-openblas - paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl - - - cuda9-cudnn7-mkl - paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl - - - cuda10_cudnn7-mkl - paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl - - paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl - - paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl - - - win_cpu_mkl - - - - paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl - - paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl - - paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl - - paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl - - - win_cuda9_cudnn7_mkl - - - - paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl - - - win_cuda10_cudnn7_mkl - - - - paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl - - - win_cpu_openblas - - - - paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl - - paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl - - paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl - - paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl - - - win_cuda9_cudnn7_openblas - - - - paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl - - paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl - - - mac_cpu - - - - paddlepaddle-1.8.2-cp27-cp27m-macosx_10_6_intel.whl - - paddlepaddle-1.8.2-cp35-cp35m-macosx_10_6_intel.whl - - paddlepaddle-1.8.2-cp36-cp36m-macosx_10_6_intel.whl - - paddlepaddle-1.8.2-cp37-cp37m-macosx_10_6_intel.whl - + cpu-mkl + + paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl + + paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl + + paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl + + paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl + + paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl + + + cpu-openblas + + paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl + paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl + + paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl + + paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl + + paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl + + + cuda9-cudnn7-openblas + paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl + + + cuda9-cudnn7-mkl + paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl + + + cuda10_cudnn7-mkl + paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl + + paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl + + paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl + + + win_cpu_mkl + - + + paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl + + paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl + + paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl + + paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl + + + win_cuda9_cudnn7_mkl + - + + paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl + + + win_cuda10_cudnn7_mkl + - + + paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl + + + win_cpu_openblas + - + + paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl + + paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl + + paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl + + paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl + + + win_cuda9_cudnn7_openblas + - + + paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl + + paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl + + + mac_cpu + - + + paddlepaddle-1.8.3-cp27-cp27m-macosx_10_6_intel.whl + + paddlepaddle-1.8.3-cp35-cp35m-macosx_10_6_intel.whl + + paddlepaddle-1.8.3-cp36-cp36m-macosx_10_6_intel.whl + + paddlepaddle-1.8.3-cp37-cp37m-macosx_10_6_intel.whl +

@@ -440,68 +440,68 @@ platform tag: similar to 'linux_x86_64', 'any' ## **Multi-version whl package list - dev**

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
version number cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cpu-mkl - paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl - paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl - paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl - paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl - paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cpu-openblas - paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl - paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl - paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl - paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-openblas paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda10-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
version number cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cpu-mkl + paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl + paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl + paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl + paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl + paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cpu-openblas + paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl + paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl + paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl + paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-openblas paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda9-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl
cuda10-cudnn7-mkl paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl

@@ -512,30 +512,30 @@ platform tag: similar to 'linux_x86_64', 'any' ## **Multi-version whl package list(gcc8.2)-develop**

- - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + +
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl - paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl
版本说明 cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl + paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl

@@ -546,30 +546,30 @@ platform tag: similar to 'linux_x86_64', 'any' ## **Multi-version whl package list(gcc8.2)-release**

- - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + +
version instruction cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl - paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl - paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl
version instruction cp27-cp27mu cp27-cp27m cp35-cp35m cp36-cp36m cp37-cp37m
cuda10.1-cudnn7-mkl + paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl + paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl

@@ -639,5 +639,3 @@ In order to ensure that the GPU driver works properly in the image, we recommend export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}') docker run ${CUDA_SO} \ ${DEVICES} -it hub.baidubce.com/paddlepaddle/paddle:latest-gpu - - diff --git a/doc/fluid/install/index_cn.rst b/doc/fluid/install/index_cn.rst index 27037b44f..98867ce92 100644 --- a/doc/fluid/install/index_cn.rst +++ b/doc/fluid/install/index_cn.rst @@ -214,20 +214,20 @@ 如果您是使用 Python 2，CUDA 9，cuDNN 7.3+，安装GPU版本的命令为： :: - python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://mirror.baidu.com/pypi/simple + python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://mirror.baidu.com/pypi/simple 或 - python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple + python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple 如果您是使用 Python 2，CUDA 10.0，cuDNN 7.3+，安装GPU版本的命令为： :: - python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://mirror.baidu.com/pypi/simple + python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://mirror.baidu.com/pypi/simple 或 - python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple + python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple 如果您是使用 Python 3，请将上述命令中的 **python** 更换为 **python3** 进行安装。 @@ -430,12 +430,12 @@ (2). 拉取预安装 PaddlePaddle 的镜像： :: - docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2 + docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3 (3). 用镜像构建并进入Docker容器： :: - docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2 /bin/bash + docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3 /bin/bash > --name [Name of container] 设定Docker的名称； @@ -443,7 +443,7 @@ > -v 参数用于宿主机与容器里文件共享；其中dir1为宿主机目录，dir2为挂载到容器内部的目录，用户可以通过设定dir1和dir2自定义自己的挂载目录；例如：$PWD:/paddle 指定将宿主机的当前路径（Linux中PWD变量会展开为当前路径的绝对路径）挂载到容器内部的 /paddle 目录； - > hub.baidubce.com/paddlepaddle/paddle:1.8.2 是需要使用的image名称；/bin/bash是在Docker中要执行的命令 + > hub.baidubce.com/paddlepaddle/paddle:1.8.3 是需要使用的image名称；/bin/bash是在Docker中要执行的命令 2. **GPU 版本** @@ -471,12 +471,12 @@ (2). 拉取支持 CUDA 10.0 , cuDNN 7.3+ 预安装 PaddlePaddle 的镜像： :: - nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 + nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 (3). 用镜像构建并进入Docker容器： :: - nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 /bin/bash + nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 /bin/bash > --name [Name of container] 设定Docker的名称； @@ -484,7 +484,7 @@ > -v 参数用于宿主机与容器里文件共享；其中dir1为宿主机目录，dir2为挂载到容器内部的目录，用户可以通过设定dir1和dir2自定义自己的挂载目录；例如：$PWD:/paddle 指定将宿主机的当前路径（Linux中PWD变量会展开为当前路径的绝对路径）挂载到容器内部的 /paddle 目录； - > hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 是需要使用的image名称；/bin/bash是在Docker中要执行的命令 + > hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 是需要使用的image名称；/bin/bash是在Docker中要执行的命令 或如果您需要支持 **CUDA 9** 的版本，将上述命令的 **cuda10.0** 替换成 **cuda9.0** 即可 @@ -492,7 +492,7 @@ :: - docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.2 /bin/bash + docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.3 /bin/bash > --name [Name of container] 设定Docker的名称； @@ -500,7 +500,7 @@ > -v 参数用于宿主机与容器里文件共享；其中dir1为宿主机目录，dir2为挂载到容器内部的目录，用户可以通过设定dir1和dir2自定义自己的挂载目录；例如：$PWD:/paddle 指定将宿主机的当前路径（Linux中PWD变量会展开为当前路径的绝对路径）挂载到容器内部的 /paddle 目录； - > paddlepaddle/paddle:1.8.2 是需要使用的image名称；/bin/bash是在Docker中要执行的命令 + > paddlepaddle/paddle:1.8.3 是需要使用的image名称；/bin/bash是在Docker中要执行的命令 4. 验证安装 diff --git a/doc/fluid/install/index_en.rst b/doc/fluid/install/index_en.rst index 91b877ef5..17be38235 100644 --- a/doc/fluid/install/index_en.rst +++ b/doc/fluid/install/index_en.rst @@ -216,20 +216,20 @@ This section describes how to use pip to install. If you are using Python 2, CUDA 9, cuDNN 7.3+, command to install GPU version: :: - python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://mirror.baidu.com/pypi/simple + python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://mirror.baidu.com/pypi/simple or - python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple + python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple If you are using Python 2, CUDA 10.0, cuDNN 7.3+, command to install GPU version: :: - python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://mirror.baidu.com/pypi/simple + python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://mirror.baidu.com/pypi/simple or - python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple + python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple If you are using Python 3, please change **python** in the above command to **python3** and install. @@ -437,12 +437,12 @@ If you want to use `docker `_ to install PaddlePaddle, y (2). Pull the image of the preinstalled PaddlePaddle: :: - docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2 + docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3 (3). Use the image to build and enter the Docker container: :: - docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2 /bin/bash + docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3 /bin/bash > --name [Name of container] set the name of Docker; @@ -450,7 +450,7 @@ If you want to use `docker `_ to install PaddlePaddle, y > -v Parameter is used to share files between the host and the container. dir1 is the host directory and dir2 is the directory mounted inside the container. Users can customize their own mounting directory by setting dir1 and dir2.For example, $PWD:/paddle specifies to mount the current path of the host (PWD variable in Linux will expand to the absolute path of the current path) to the /paddle directory inside the container; - > hub.baidubce.com/paddlepaddle/paddle:1.8.2 is the image name you need to use；/bin/bash is the command to be executed in Docker + > hub.baidubce.com/paddlepaddle/paddle:1.8.3 is the image name you need to use；/bin/bash is the command to be executed in Docker 2. **GPU version** @@ -478,12 +478,12 @@ If you want to use `docker `_ to install PaddlePaddle, y (2). Pull the image that supports CUDA 10.0, cuDNN 7.3 + pre installed PaddlePaddle: :: - nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 + nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 (3). Use the image to build and enter the docker container: :: - nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 /bin/bash + nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 /bin/bash > --name [Name of container] set name of Docker; @@ -491,7 +491,7 @@ If you want to use `docker `_ to install PaddlePaddle, y > -v Parameter is used to share files between the host and the container. dir1 is the host directory and dir2 is the directory mounted inside the container. Users can customize their own mounting directory by setting dir1 and dir2.For example, $PWD:/paddle specifies to mount the current path of the host (PWD variable in Linux will expand to the absolute path of the current path) to the /paddle directory inside the container; - > hub.baidubce.com/paddlepaddle/paddle:1.8.2 is the image name you need to use；/bin/bash is the command to be executed in Docker + > hub.baidubce.com/paddlepaddle/paddle:1.8.3 is the image name you need to use；/bin/bash is the command to be executed in Docker Or if you need the version supporting **CUDA 9**, replace **cuda10.0** of the above command with **cuda9.0** @@ -499,7 +499,7 @@ If you want to use `docker `_ to install PaddlePaddle, y :: - docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.2 /bin/bash + docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.3 /bin/bash > --name [Name of container] set name of Docker; @@ -507,7 +507,7 @@ If you want to use `docker `_ to install PaddlePaddle, y > -v Parameter is used to share files between the host and the container. dir1 is the host directory and dir2 is the directory mounted inside the container. Users can customize their own mounting directory by setting dir1 and dir2.For example, $PWD:/paddle specifies to mount the current path of the host (PWD variable in Linux will expand to the absolute path of the current path) to the /paddle directory inside the container; - > paddlepaddle/paddle:1.8.2 is the image name you need to use；/bin/bash is the command to be executed in docker + > paddlepaddle/paddle:1.8.3 is the image name you need to use；/bin/bash is the command to be executed in docker 4. Verify installation -- GitLab