From bcc2420392ce2c2c5c4af2c0634b7e253381f575 Mon Sep 17 00:00:00 2001 From: lyvette Date: Thu, 27 Aug 2020 16:34:50 +0800 Subject: [PATCH] delete python dependency. --- lite/tutorials/source_en/deploy.md | 29 +++++++++--------- lite/tutorials/source_zh_cn/deploy.md | 43 +++++++++++++-------------- 2 files changed, 35 insertions(+), 37 deletions(-) diff --git a/lite/tutorials/source_en/deploy.md b/lite/tutorials/source_en/deploy.md index b6d16cd3..350654ea 100644 --- a/lite/tutorials/source_en/deploy.md +++ b/lite/tutorials/source_en/deploy.md @@ -21,12 +21,11 @@ This document describes how to quickly install MindSpore Lite on the Ubuntu syst - Compilation dependencies (basics): - [CMake](https://cmake.org/download/) >= 3.14.1 - [GCC](https://gcc.gnu.org/releases.html) >= 7.3.0 - - [Python](https://www.python.org/) >= 3.7 - [Android_NDK r20b](https://dl.google.com/android/repository/android-ndk-r20b-linux-x86_64.zip) - + > - `Android_NDK` needs to be installed only when the Arm version is compiled. Skip this dependency when the x86_64 version is compiled. > - To install and use `Android_NDK`, you need to configure environment variables. The command example is `export ANDROID_NDK={$NDK_PATH}/android-ndk-r20b`. - + - Compilation dependencies (additional dependencies required by the MindSpore Lite model conversion tool, which is required only for compilation of the x86_64 version) - [Autoconf](http://ftp.gnu.org/gnu/autoconf/) >= 2.69 - [Libtool](https://www.gnu.org/software/libtool/) >= 2.4.6 @@ -34,9 +33,9 @@ This document describes how to quickly install MindSpore Lite on the Ubuntu syst - [Automake](https://www.gnu.org/software/automake/) >= 1.11.6 - [Libevent](https://libevent.org) >= 2.0 - [M4](https://www.gnu.org/software/m4/m4.html) >= 1.4.18 - - [OpenSSL](https://www.openssl.org/) >= 1.1.1 - - + - [OpenSSL](https://www.openssl.org/) >= 1.1.1 + + ## Compilation Options MindSpore Lite provides multiple compilation options. You can select different compilation options as required. @@ -56,7 +55,7 @@ MindSpore Lite provides multiple compilation options. You can select different c After the compilation is complete, go to the `mindspore/output` directory of the source code to view the file generated after compilation. The file is named `mindspore-lite-{version}-{function}-{OS}.tar.gz`. After decompression, the tool package named `mindspore-lite-{version}-{function}-{OS}` can be obtained. -> version: version of the output, consistent with that of the MindSpore. +> version: version of the output, consistent with that of the MindSpore. > > function: function of the output. `convert` indicates the output of the conversion tool and `runtime` indicates the output of the inference framework. > @@ -73,7 +72,7 @@ Generally, the compiled output files include the following types. The architectu > For the Arm 64-bit architecture, you can obtain the output of the `arm64-cpu` inference framework. If `-e gpu` is added, you can obtain the output of the `arm64-gpu` inference framework. The compilation for arm 64-bit is the same as that for arm 32-bit. | Directory | Description | converter | runtime | -| --- | --- | --- | --- | +| --- | --- | --- | --- | | include | Inference framework header file | No | Yes | | lib | Inference framework dynamic library | No | Yes | | benchmark | Benchmark test tool | No | Yes | @@ -102,22 +101,22 @@ Then, run the following commands in the root directory of the source code to com ```bash bash build.sh -I x86_64 -d ``` - + - Release version of the x86_64 architecture, with the number of threads set: ```bash bash build.sh -I x86_64 -j32 ``` - + - Release version of the Arm 64-bit architecture in incremental compilation mode, with the number of threads set: ```bash - bash build.sh -I arm64 -i -j32 + bash build.sh -I arm64 -i -j32 ``` - + - Release version of the Arm 64-bit architecture in incremental compilation mode, with the built-in GPU operator compiled: ```bash - bash build.sh -I arm64 -e gpu + bash build.sh -I arm64 -e gpu ``` - + > - In the `build.sh` script, run the `git clone` command to obtain the code in the third-party dependency library. Ensure that the network settings of Git are correct. Take the 0.7.0-beta version as an example. After the release version of the x86_64 architecture is compiled, go to the `mindspore/output` directory and run the following decompression command to obtain the output files `include`, `lib`, `benchmark`, `time_profiler`, `converter`, and `third_party`: @@ -125,4 +124,4 @@ Take the 0.7.0-beta version as an example. After the release version of the x86_ ```bash tar -xvf mindspore-lite-0.7.0-converter-ubuntu.tar.gz tar -xvf mindspore-lite-0.7.0-runtime-x86-cpu.tar.gz -``` \ No newline at end of file +``` diff --git a/lite/tutorials/source_zh_cn/deploy.md b/lite/tutorials/source_zh_cn/deploy.md index dec4cbe3..dd973c77 100644 --- a/lite/tutorials/source_zh_cn/deploy.md +++ b/lite/tutorials/source_zh_cn/deploy.md @@ -29,12 +29,11 @@ - 编译依赖（基本项） - [CMake](https://cmake.org/download/) >= 3.14.1 - [GCC](https://gcc.gnu.org/releases.html) >= 7.3.0 - - [Python](https://www.python.org/) >= 3.7 - [Android_NDK r20b](https://dl.google.com/android/repository/android-ndk-r20b-linux-x86_64.zip) - + > - 仅在编译ARM版本时需要安装`Android_NDK`，编译x86_64版本可跳过此项。 > - 如果安装并使用`Android_NDK`，需配置环境变量，命令参考：`export ANDROID_NDK={$NDK_PATH}/android-ndk-r20b`。 - + - 编译依赖（MindSpore Lite模型转换工具所需附加项，仅编译x86_64版本时需要） - [Autoconf](http://ftp.gnu.org/gnu/autoconf/) >= 2.69 - [Libtool](https://www.gnu.org/software/libtool/) >= 2.4.6 @@ -42,9 +41,9 @@ - [Automake](https://www.gnu.org/software/automake/) >= 1.11.6 - [Libevent](https://libevent.org) >= 2.0 - [M4](https://www.gnu.org/software/m4/m4.html) >= 1.4.18 - - [OpenSSL](https://www.openssl.org/) >= 1.1.1 - - + - [OpenSSL](https://www.openssl.org/) >= 1.1.1 + + ### 编译选项 MindSpore Lite提供多种编译方式，用户可根据需要选择不同的编译选项。 @@ -82,14 +81,14 @@ tar -xvf mindspore-lite-{version}-{function}-{OS}.tar.gz | 目录 | 说明 | converter | runtime | | --- | --- | --- | --- | | include | 推理框架头文件 | 无 | 有 | -| lib | 推理框架动态库 | 无 | 有 | -| benchmark | 基准测试工具 | 无 | 有 | -| time_profiler | 模型网络层耗时分析工具 | 无 | 有 | -| converter | 模型转换工具 | 有 | 无 | -| third_party | 第三方库头文件和库 | 有 | 有 | +| lib | 推理框架动态库 | 无 | 有 | +| benchmark | 基准测试工具 | 无 | 有 | +| time_profiler | 模型网络层耗时分析工具 | 无 | 有 | +| converter | 模型转换工具 | 有 | 无 | +| third_party | 第三方库头文件和库 | 有 | 有 | 以0.7.0-beta版本，CPU编译为例，不同包名下，`third party`与`lib`的内容不同： - + - `mindspore-lite-0.7.0-converter-ubuntu`：包含`protobuf`（Protobuf的动态库）。 - `mindspore-lite-0.7.0-runtime-x86-cpu`：`third party`包含`flatbuffers`（FlatBuffers头文件），`lib`包含`libmindspore-lite.so`（MindSpore Lite的动态库）。 - `mindspore-lite-0.7.0-runtime-arm64-cpu`：`third party`包含`flatbuffers`（FlatBuffers头文件），`lib`包含`libmindspore-lite.so`（MindSpore Lite的动态库）和`liboptimize.so`。 @@ -111,26 +110,26 @@ git clone https://gitee.com/mindspore/mindspore.git ```bash bash build.sh -I x86_64 -d ``` - + - 编译x86_64架构Release版本，同时设定线程数。 ```bash bash build.sh -I x86_64 -j32 ``` - + - 增量编译ARM64架构Release版本，同时设定线程数。 ```bash - bash build.sh -I arm64 -i -j32 + bash build.sh -I arm64 -i -j32 ``` - + - 编译ARM64架构Release版本，同时编译内置的GPU算子。 ```bash - bash build.sh -I arm64 -e gpu + bash build.sh -I arm64 -e gpu ``` - + > `build.sh`中会执行`git clone`获取第三方依赖库的代码，请提前确保git的网络设置正确可用。 - + 以0.7.0-beta版本为例，x86_64架构Release版本编译完成之后，进入`mindspore/output`目录，执行如下解压缩命令，即可获取输出件`include`、`lib`、`benchmark`、`time_profiler`、`converter`和`third_party`。 - + ```bash tar -xvf mindspore-lite-0.7.0-converter-ubuntu.tar.gz tar -xvf mindspore-lite-0.7.0-runtime-x86-cpu.tar.gz @@ -180,7 +179,7 @@ git clone https://gitee.com/mindspore/mindspore.git ```bash call build.bat lite 8 ``` - + > `build.bat`中会执行`git clone`获取第三方依赖库的代码，请提前确保git的网络设置正确可用。 - + 编译完成之后，进入`mindspore/output/`目录，解压后即可获取输出件`converter`。 -- GitLab