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fix typo (#3125) 

* Update README.md

* Update how-to-build.md
tags/20211122
teng GitHub 5 years ago
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2 changed files with 10 additions and 10 deletions
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  1. +6
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      README.md
  2. +4
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      docs/how-to-build/how-to-build.md

+ 6
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README.md View File

@@ -34,8 +34,8 @@ ncnn 是一个为手机端极致优化的高性能神经网络前向计算框架
| Windows (VS2015) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x86-cpu-vs2015)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x86-cpu-vs2015) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x64-cpu-vs2015)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x64-cpu-vs2015) | — | — |
| Windows (VS2017) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x86-cpu-vs2017)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x86-cpu-vs2017) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x64-cpu-vs2017)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x64-cpu-vs2017) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x64-gpu-vs2017)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x64-gpu-vs2017) |
| Windows (VS2019) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x86-cpu-vs2019)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x86-cpu-vs2019) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x64-cpu-vs2019)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x64-cpu-vs2019) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/windows-x64-gpu-vs2019)](https://github.com/Tencent/ncnn/actions?query=workflow%3Awindows-x64-gpu-vs2019) |
| MacOS | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-x64-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-x64-cpu) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-x64-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-x64-gpu) |
| MacOS (ARM) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-arm64-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-arm64-cpu) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-arm64-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-arm64-gpu) |
| macOS | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-x64-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-x64-cpu) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-x64-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-x64-gpu) |
| macOS (ARM) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-arm64-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-arm64-cpu) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/macos-arm64-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Amacos-arm64-gpu) |
| Android | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-armv7-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-armv7-cpu) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-armv8-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-armv8-cpu) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-armv7-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-armv7-gpu) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-armv8-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-armv8-gpu) |
| Android-x86 | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-x86-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-x86-cpu) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-x64-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-x64-cpu) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-x86-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-x86-gpu) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/android-x64-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aandroid-x64-gpu) |
| iOS | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/ios-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aios-cpu) | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/ios-cpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aios-cpu) | — | [![Build Status](https://img.shields.io/github/workflow/status/Tencent/ncnn/ios-arm64-gpu)](https://github.com/Tencent/ncnn/actions?query=workflow%3Aios-arm64-gpu) |
@@ -63,15 +63,15 @@ ncnn 是一个为手机端极致优化的高性能神经网络前向计算框架

### HowTo

**[how to build ncnn library](https://github.com/Tencent/ncnn/wiki/how-to-build) on Linux / Windows / MacOS / Raspberry Pi3 / Android / NVIDIA Jetson / iOS / WebAssembly / AllWinner D1 / Loongson 2K1000**
**[how to build ncnn library](https://github.com/Tencent/ncnn/wiki/how-to-build) on Linux / Windows / macOS / Raspberry Pi3 / Android / NVIDIA Jetson / iOS / WebAssembly / AllWinner D1 / Loongson 2K1000**

* [Build for Linux / NVIDIA Jetson / Raspberry Pi3](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-linux)
* [Build for Windows x64 using VS2017](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-windows-x64-using-visual-studio-community-2017)
* [Build for MacOS](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-macos)
* [Build for macOS](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-macos)
* [Build for ARM Cortex-A family with cross-compiling](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-arm-cortex-a-family-with-cross-compiling)
* [Build for Hisilicon platform with cross-compiling](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-hisilicon-platform-with-cross-compiling)
* [Build for Android](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-android)
* [Build for iOS on MacOS with xcode](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-ios-on-macos-with-xcode)
* [Build for iOS on macOS with xcode](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-ios-on-macos-with-xcode)
* [Build for WebAssembly](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-webassembly)
* [Build for AllWinner D1](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-allwinner-d1)
* [Build for Loongson 2K1000](https://github.com/Tencent/ncnn/wiki/how-to-build#build-for-loongson-2k1000)
@@ -145,7 +145,7 @@ ncnn 是一个为手机端极致优化的高性能神经网络前向计算框架
* ❔ = shall work, not confirmed
* / = not applied

| |Windows|Linux|Android|MacOS|iOS|
| |Windows|Linux|Android|macOS|iOS|
|---|---|---|---|---|---|
|intel-cpu|✔️|✔️|❔|✔️|/|
|intel-gpu|✔️|✔️|❔|❔|/|


+ 4
- 4
docs/how-to-build/how-to-build.md View File

@@ -8,11 +8,11 @@ $ git submodule update --init

* [Build for Linux / NVIDIA Jetson / Raspberry Pi](#build-for-linux)
* [Build for Windows x64 using VS2017](#build-for-windows-x64-using-visual-studio-community-2017)
* [Build for MacOS](#build-for-macos)
* [Build for macOS](#build-for-macos)
* [Build for ARM Cortex-A family with cross-compiling](#build-for-arm-cortex-a-family-with-cross-compiling)
* [Build for Hisilicon platform with cross-compiling](#build-for-hisilicon-platform-with-cross-compiling)
* [Build for Android](#build-for-android)
* [Build for iOS on MacOS with xcode](#build-for-ios-on-macos-with-xcode)
* [Build for iOS on macOS with xcode](#build-for-ios-on-macos-with-xcode)
* [Build for WebAssembly](#build-for-webassembly)
* [Build for AllWinner D1](#build-for-allwinner-d1)
* [Build for Loongson 2K1000](#build-for-loongson-2k1000)
@@ -135,7 +135,7 @@ Note: To speed up compilation process on multi core machines, configuring `cmake

***

### Build for MacOS
### Build for macOS
First install Xcode or Xcode Command Line Tools according to your needs.

Then install `protobuf` and `libomp` via homebrew
@@ -298,7 +298,7 @@ Pick `build-android-aarch64/install` folder for further JNI usage.

***

### Build for iOS on MacOS with xcode
### Build for iOS on macOS with xcode
You can use the pre-build ncnn.framework glslang.framework and openmp.framework from https://github.com/Tencent/ncnn/releases

Install xcode


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