51b9dff1bc
* Enable LTO for oneDNN GPU * Use importer target for onednn_gpu * Fixed install of OpenCL, ittapi * Try to enable samples build * Fixed ie_wheel build * Disabled samples * Fixed incorrect install of pugixml in dynamic build * Fixed clDNN_unit_tests64 link * Minimized a number of hardcoded paths * Switched off ITT * Disable TBBBind for static Windows * Fixed link on Windows * Fixes * Static build for Window * Disable unit-tests * Disabled TF * Fixed add dependency for PDPD unit tests * Disabled GNA * Enabled ngraph test utils * Fixes * Fixes * Disable clDNN for static build on Windows * Dynamic MCVS runtime for OpenCL * Disable ITT traces for static libs * Ability to switch TBBBind_2_5 OFF * Disabled GPU on Windows build * Fixed libGNA link * Disabled some GNA tests * Fixed multiple definitions issue * Hide FrontEnd::load in DLL * Install libGNAStubs * Trying to fix Windows * Trying to fix frontends * Passed compilation on Windows * Updated install rules for ngraph backends * Try CPU, TEMPLATE tests * Enabled unit-tests * Enabled ngraph tests * Try to fix unit-test * Fixed unit-test on Linux * Fixed compilation with ENABLE_IR_V7_READER=OFF * Fixed tests on Linux * Enable cpuFuncTests only in static build * Try to fix testMockPluginFrontEnd test * Try to enable TF * Fixed python tests * Partial revert * Removed OV_FRONTEND_PATH |
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| .github | ||
| cmake | ||
| docs | ||
| inference-engine | ||
| licensing | ||
| model-optimizer | ||
| ngraph | ||
| openvino | ||
| runtime | ||
| samples | ||
| scripts | ||
| tests | ||
| thirdparty | ||
| tools | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| CMakeLists.txt | ||
| CODEOWNERS | ||
| install_build_dependencies.sh | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
OpenVINO™ Toolkit
This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.
This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as Caffe*, TensorFlow*, MXNet* and ONNX*.
Repository components:
License
Deep Learning Deployment Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.
Resources:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ modules: https://github.com/openvinotoolkit/openvino_contrib
- Intel® Distribution of OpenVINO™ toolkit Product Page
- Intel® Distribution of OpenVINO™ toolkit Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.