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Update build from source instructions #21468

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Sep 11, 2024
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Update build from source instructions #21468

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e551c07
Update build from source instructions
natke Jul 24, 2024
e167f1a
Add C/C++ install section
natke Aug 16, 2024
3d0af83
Add value for android ABI param
natke Aug 17, 2024
a2be9af
Update onnxruntime version
natke Sep 11, 2024
03c8efc
Update docs/genai/howto/build-from-source.md
natke Sep 11, 2024
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166 changes: 58 additions & 108 deletions docs/genai/howto/build-from-source.md
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ nav_order: 2
## Pre-requisites

- `cmake`
- `.Net v6` (if building C#)
- `.NET6` (if building C#)

## Clone the onnxruntime-genai repo

Expand All @@ -25,11 +25,10 @@ git clone https://github.com/microsoft/onnxruntime-genai
cd onnxruntime-genai
```

## Install ONNX Runtime
## Download ONNX Runtime binaries

By default, the onnxruntime-genai build expects to find the ONNX Runtime include and binaries in a folder called `ort` in the root directory of onnxruntime-genai. You can put the ONNX Runtime files in a different location and specify this location to the onnxruntime-genai build via the --ort_home command line argument.

### Option 1: Install from release

These instructions assume you are in the `onnxruntime-genai` folder.

Expand All @@ -38,161 +37,96 @@ These instructions assume you are in the `onnxruntime-genai` folder.
These instruction use `win-x64`. Replace this if you are using a different architecture.

```bash
curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.18.0/onnxruntime-win-x64-1.18.0.zip -o onnxruntime-win-x64-1.18.0.zip
tar xvf onnxruntime-win-x64-1.18.0.zip
move onnxruntime-win-x64-1.18.0 ort
curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/onnxruntime-win-x64-1.19.2.zip -o onnxruntime-win-x64-1.19.2.zip
tar xvf onnxruntime-win-x64-1.19.2.zip
move onnxruntime-win-x64-1.19.2 ort
```

#### Linux and Mac

These instruction use `linux-x64-gpu`. Replace this if you are using a different architecture.

```bash
curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.18.0/onnxruntime-linux-x64-gpu-1.18.0.tgz -o onnxruntime-linux-x64-gpu-1.18.0.tgz
tar xvzf onnxruntime-linux-x64-gpu-1.18.0.tgz
mv onnxruntime-linux-x64-gpu-1.18.0 ort
curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/onnxruntime-linux-x64-gpu-1.19.2.tgz -o onnxruntime-linux-x64-gpu-1.19.2.tgz
tar xvzf onnxruntime-linux-x64-gpu-1.19.2.tgz
mv onnxruntime-linux-x64-gpu-1.19.2 ort
```

### Option 2: Install from nightly
#### Android

Download the nightly nuget package `Microsoft.ML.OnnxRuntime` from: https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly.

Extract the nuget package.

```bash
tar xvf Microsoft.ML.OnnxRuntime.1.18.0-dev-20240322-0323-ca825cb6e6.nupkg
```

Copy the include and lib files into `ort`.

On Windows

Example is given for `win-x64`. Change this to your architecture if different.

```cmd
copy build\native\include\onnxruntime_c_api.h ort\include
copy runtimes\win-x64\native\*.dll ort\lib
```

On Linux

Example is given for `linux-x64`. Change this to your architecture if different.

```cmd
cp build/native/include/onnxruntime_c_api.h ort/include
cp build/linux-x64/native/libonnxruntime*.so* ort/lib
```

### Option 3: Build from source

#### Clone the onnxruntime repo
If you do not already have an `ort` folder, create one.

```bash
cd ..
git clone https://github.com/microsoft/onnxruntime.git
cd onnxruntime
mkdir ort
```

#### Build ONNX Runtime for CPU on Windows

```bash
build.bat --build_shared_lib --skip_tests --parallel --config Release
copy include\onnxruntime\core\session\onnxruntime_c_api.h ..\onnxruntime-genai\ort\include
copy build\Windows\Release\Release\*.dll ..\onnxruntime-genai\ort\lib
copy build\Windows\Release\Release\onnxruntime.lib ..\onnxruntime-genai\ort\lib
```

#### Build ONNX Runtime for DirectML on Windows

```bash
build.bat --build_shared_lib --skip_tests --parallel --use_dml --config Release
copy include\onnxruntime\core\session\onnxruntime_c_api.h ..\onnxruntime-genai\ort\include
copy include\onnxruntime\core\providers\dml\dml_provider_factory.h ..\onnxruntime-genai\ort\include
copy build\Windows\Release\Release\*.dll ..\onnxruntime-genai\ort\lib
copy build\Windows\Release\Release\onnxruntime.lib ..\onnxruntime-genai\ort\lib
curl -L https://repo1.maven.org/maven2/com/microsoft/onnxruntime/onnxruntime-android/1.19.2/onnxruntime-android-1.19.2.aar -o ort/onnxruntime-android-1.19.2.aar
cd ort
tar xvf onnxruntime-android-1.19.2.aar
cd ..
```

## Build the generate() API

#### Build ONNX Runtime for CUDA on Windows

```bash
build.bat --build_shared_lib --skip_tests --parallel --use_cuda --config Release
copy include\onnxruntime\core\session\onnxruntime_c_api.h ..\onnxruntime-genai\ort\include
copy include\onnxruntime\core\providers\cuda\*.h ..\onnxruntime-genai\ort\include
copy build\Windows\Release\Release\*.dll ..\onnxruntime-genai\ort\lib
copy build\Windows\Release\Release\onnxruntime.lib ..\onnxruntime-genai\ort\lib
```
This step assumes that you are in the root of the onnxruntime-genai repo, and you have followed the previous steps to copy the onnxruntime headers and binaries into the folder specified by <ORT_HOME>, which defaults to `onnxruntime-genai/ort`.

#### Build ONNX Runtime on Linux
All of the build commands below have a `--config` argument, which takes the following options:
- `Release` builds release binaries
- `Debug` build binaries with debug symbols
- `RelWithDebInfo` builds release binaries with debug info

```bash
./build.sh --build_shared_lib --skip_tests --parallel [--use_cuda] --config Release
cp include/onnxruntime/core/session/onnxruntime_c_api.h ../onnxruntime-genai/ort/include
cp build/Linux/Release/libonnxruntime*.so* ../onnxruntime-genai/ort/lib
```
### Build Python API

You may need to provide extra command line options for building with CUDA on Linux. An example full command is as follows.
#### Windows CPU build

```bash
./build.sh --parallel --build_shared_lib --use_cuda --cuda_version 11.8 --cuda_home /usr/local/cuda-11.8 --cudnn_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES="80" --cmake_extra_defines CMAKE_CUDA_COMPILER=/usr/local/cuda-11.8/bin/nvcc
python build.py --config `Release`
```

Replace the values given above for different versions and locations of CUDA.

#### Build ONNX Runtime on Mac
#### Windows DirectML build

```bash
./build.sh --build_shared_lib --skip_tests --parallel --config Release
cp include/onnxruntime/core/session/onnxruntime_c_api.h ../onnxruntime-genai/ort/include
cp build/MacOS/Release/libonnxruntime*.dylib* ../onnxruntime-genai/ort/lib
python build.py --use_dml --config `Release`
```

## Build the generate() API

This step assumes that you are in the root of the onnxruntime-genai repo, and you have followed the previos steps to copy the onnxruntime headers and binaries into the folder specified by <ORT_HOME>, which defaults to `onnxruntime-genai/ort`.
#### Linux build

```bash
cd ../onnxruntime-genai
python build.py --config `Release`
```

### Build Python API

#### Build for Windows CPU
#### Linux CUDA build

```bash
python build.py
python build.py --use_cuda --config `Release`
```

#### Build for Windows DirectML
#### Mac build

```bash
python build.py --use_dml
python build.py --config `Release`
```

#### Build on Linux
### Build Java API

```bash
python build.py
python build.py --build_java --config Release
```

#### Build on Linux with CUDA

```bash
python build.py --use_cuda
```
### Build for Android

#### Build on Mac
If building on Windows, install `ninja`.

```bash
python build.py
pip install ninja
```

### Build Java API
Run the build script.

```bash
python build.py --build_java --config Release
python build.py --build_java --android --android_home <path to your Android SDK> --android_ndk_path <path to your NDK installation> --android_abi [armeabi-v7a|arm64-v8a|x86|x86_64] --config Release
```
Change config to Debug for debug builds.

## Install the library into your application

Expand All @@ -203,12 +137,28 @@ cd build/wheel
pip install *.whl
```

### Install .jar
### Install NuGet

_Coming soon_

### Install JAR

Copy `build/Windows/Release/src/java/build/libs/*.jar` into your application.

### Install Nuget package
### Install AAR

Copy `build/Android/Release/src/java/build/android/outputs/aar/onnxruntime-genai-release.aar` into your application.


### Install C/C++ header file and library

_Coming soon_
#### Windows

Use the header in `src\ort_genai.h` and the libraries in `build\Windows\Release`

#### Linux

Use the header in `src/ort_genai.h` and the libraries in `build/Linux/Release`



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