lite

README.md

+# ONNX Runtime
+## 安装
+### 安装包安装
+c++ 安装包下载：https://cancon.hpccube.com:65024/directlink/4/onnxruntime/dtk23.04/onnxruntime-lite-1.14.0+git81e68c5.abi0.dtk2304-linux_x86_64.run         
+
+Python 安装包下载：         
+Python3.7：https://cancon.hpccube.com:65024/directlink/4/onnxruntime/dtk23.04/onnxruntime-lite-1.14.0+git81e68c5.abi0.dtk2304-cp37-cp37m-manylinux2014_x86_64.whl          
+Python3.8：https://cancon.hpccube.com:65024/directlink/4/onnxruntime/dtk23.04/onnxruntime-lite-1.14.0+git81e68c5.abi0.dtk2304-cp38-cp38-manylinux2014_x86_64.whl                
+Python3.9：https://cancon.hpccube.com:65024/directlink/4/onnxruntime/dtk23.04/onnxruntime-lite-1.14.0+git81e68c5.abi0.dtk2304-cp39-cp39-manylinux2014_x86_64.whl    
+       
+其他Python安装包可联系我们或者使用源码编译安装   
+
+### 源码安装
+#### 编译环境准备
+1. 拉取镜像：  
+```shell
+docker pull image.sourcefind.cn:5000/dcu/admin/base/custom:onnxruntime-1.14.0-DTK-22.10.1  (待修改,新镜像正在上传)
+```             
+2. 拉取源码：  
+```shell
+git clone http://10.0.50.24/dcutoolkit/deeplearing/onnxruntime.git  
+```      
+3. 进行编译：          
+```shell
+#激活环境变量
+source /opt/dtk/env.sh   
+tar -zxvf ./cmake/external.tar.gz  -C ./cmake/   
+tar -zxvf ./cmake/onnxruntimefiles.tar.gz  -C /data/
+sh OnnxRuntimeinstall.sh
+```
+4. 安装Python安装包:            
+```shell
+#激活环境变量
+pip install ./build/Linux/Release/dist/onnxruntime*.wheel
+```
+5. 编译C++ 项目所需文件:              
+```shell
+#激活环境变量
+cd ./build/Linux/Release/
+make package
+```
+
+## 安装包命名
+例：onnxruntime-lite-1.14.0+git81e68c5.abi0.dtk2304-cp39-cp39-manylinux2014_x86_64.whl
+- onnxruntime-lite: 安装包名称；
+- 1.14.0: 安装包版本号；
+- git81e68c5: git号；
+- abi0: 对应centos和rocky多系统的标识，取值为abi0（centos7），abi1(rocky8)，可使用命令行动态查询获取辅助判断（echo '#include <string>' | gcc -x c++ -E -dM - | fgrep _GLIBCXX_USE_CXX11_ABI）;
+- dtk2304: 对应dtk大版本号，命令行动态查询取值（/opt/dtk-23.04/.info/rocm_version）；
+- cp39-cp39: 对应python版本号；
+- manylinux2014_x86_64: 系统架构；
+
+## 版本号查询
+- onnxruntime.\_\_version__：与官方版本同步，查询该安装包的版本号，例如1.14.0（基于官方1.14.0修改）；
+
+## 参考
+- [README_ORIGIN](README_ORIGIN.md)

README_ORIGIN.md

+<p align="center"><img width="50%" src="docs/images/ONNX_Runtime_logo_dark.png" /></p>
+
+**ONNX Runtime is a cross-platform inference and training machine-learning accelerator**.
+
+**ONNX Runtime inference** can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. [Learn more &rarr;](https://www.onnxruntime.ai/docs/#onnx-runtime-for-inferencing)
+
+**ONNX Runtime training** can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. [Learn more &rarr;](https://www.onnxruntime.ai/docs/#onnx-runtime-for-training)
+
+
+## Get Started & Resources
+
+* **General Information**: [onnxruntime.ai](https://onnxruntime.ai)
+
+* **Usage documention and tutorials**: [onnxruntime.ai/docs](https://onnxruntime.ai/docs)
+
+* **YouTube video tutorials**: [youtube.com/@ONNXRuntime](https://www.youtube.com/@ONNXRuntime)
+
+* [**Upcoming Release Roadmap**](https://github.com/microsoft/onnxruntime/wiki/Upcoming-Release-Roadmap)
+
+* **Companion sample repositories**:
+  - ONNX Runtime Inferencing: [microsoft/onnxruntime-inference-examples](https://github.com/microsoft/onnxruntime-inference-examples)
+  - ONNX Runtime Training: [microsoft/onnxruntime-training-examples](https://github.com/microsoft/onnxruntime-training-examples)
+
+
+## Build Pipeline Status
+|System|CPU|GPU|EPs|
+|---|---|---|---|
+|Windows|[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Windows%20CPU%20CI%20Pipeline?label=Windows+CPU)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=9)|[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Windows%20GPU%20CI%20Pipeline?label=Windows+GPU)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=10)|[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Windows%20GPU%20TensorRT%20CI%20Pipeline?label=Windows+GPU+TensorRT)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=47)|
+|Linux|[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Linux%20CPU%20CI%20Pipeline?label=Linux+CPU)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=11)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Linux%20CPU%20Minimal%20Build%20E2E%20CI%20Pipeline?label=Linux+CPU+Minimal+Build)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=64)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Linux%20CPU%20x64%20NoContribops%20CI%20Pipeline?label=Linux+CPU+x64+No+Contrib+Ops)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=110)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/centos7_cpu?label=Linux+CentOS7)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=78)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/orttraining-linux-ci-pipeline?label=Linux+CPU+Training)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=86)|[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Linux%20GPU%20CI%20Pipeline?label=Linux+GPU)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=12)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Linux%20GPU%20TensorRT%20CI%20Pipeline?label=Linux+GPU+TensorRT)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=45)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/orttraining-distributed?label=Distributed+Training)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=140)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/orttraining-linux-gpu-ci-pipeline?label=Linux+GPU+Training)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=84)|[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Linux%20OpenVINO%20CI%20Pipeline?label=Linux+OpenVINO)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=55)|
+|Mac|[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/MacOS%20CI%20Pipeline?label=MacOS+CPU)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=13)<br>[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/MacOS%20NoContribops%20CI%20Pipeline?label=MacOS+NoContribops)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=65)|||
+|Android|||[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Android%20CI%20Pipeline?label=Android)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=53)|
+|iOS|||[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/iOS%20CI%20Pipeline?label=iOS)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=134)|
+|WebAssembly|||[![Build Status](https://dev.azure.com/onnxruntime/onnxruntime/_apis/build/status/Windows%20WebAssembly%20CI%20Pipeline?label=WASM)](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=161)|
+
+
+## Data/Telemetry
+
+Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the [privacy statement](docs/Privacy.md) for more details.
+
+## Contributions and Feedback
+
+We welcome contributions! Please see the [contribution guidelines](CONTRIBUTING.md).
+
+For feature requests or bug reports, please file a [GitHub Issue](https://github.com/Microsoft/onnxruntime/issues).
+
+For general discussion or questions, please use [GitHub Discussions](https://github.com/microsoft/onnxruntime/discussions).
+
+## Code of Conduct
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+## License
+
+This project is licensed under the [MIT License](LICENSE).