OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
aicomputer-visiondeep-learningdeploy-aidiffusion-modelsgenerative-aigood-first-issueinferencellm-inferencenatural-language-processingnlpopenvinooptimize-aiperformance-boostrecommendation-systemspeech-recognitionstable-diffusiontransformersyolo
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* Added transposes insertion for Parameter and Result. * Separated into several transformations. * Corrected runtime_info format. * Fixed runtime info serialization. * Code refactoring. * Corrected checks. * Added debug output. * Added check. * Fixed unit tests. * Changed old api map format, removed debug output. * Moved serialize to rt_info property, code corrections. * Refactored RTInfo class. * Small corrections. * Small corrections. * Removed redurant import. * Added tests, added undefined default type. * Code reformat. * Fixed serialization unit tests. * Added comment. * Added comment. * Small test correction. * Changed default values of old_api_map to values from old API IR. * np.array -> int64_array * Update MO to use FE to read IR; Swith MO IR version to 11 * Preserve output node name when inserting Transpose * Codestyle * Fix layer tests * Pylint fix * Disable ref_graphs comparision in layer tests * codestyle * Updated MO IR reader. * Moved version initialization to constructor of OldApiMap. * Added shape infer after transpose insertion. * Fixed Pylint * Removed wrong attribute removal. * Added transposes insertion for Parameter and Result. * Separated into several transformations. * Corrected runtime_info format. * Fixed runtime info serialization. * Code refactoring. * Corrected checks. * Added debug output. * Added check. * Fixed unit tests. * Changed old api map format, removed debug output. * Moved serialize to rt_info property, code corrections. * Refactored RTInfo class. * Small corrections. * Small corrections. * Removed redurant import. * Added tests, added undefined default type. * Code reformat. * Fixed serialization unit tests. * Added comment. * Added comment. * Small test correction. * Changed default values of old_api_map to values from old API IR. * np.array -> int64_array * Update MO to use FE to read IR; Swith MO IR version to 11 * Preserve output node name when inserting Transpose * Codestyle * Fix layer tests * Pylint fix * Disable ref_graphs comparision in layer tests * codestyle * Updated MO IR reader. * Moved version initialization to constructor of OldApiMap. * Added shape infer after transpose insertion. * Fixed Pylint * Removed wrong attribute removal. * Serialize fix. Co-authored-by: Gleb Kazantaev <gleb.kazantaev@intel.com> |
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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.