OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Eugeny Volosenkov 439e3b26aa
Model Optimizer incorrectly convert per-channel Quantize/Dequantize operatros to FakeQuantize (#8321)
* add q_dq_resolver

* prepare FQ for offline transfornations

* fix quantize_dequantize_linear_resolver.py

* fix tools/mo/openvino/tools/mo/middle/dequantize_linear_resolver.py

* enable compress_quantized_weights.py

* fix sub case

* delete force_clean_up

* add isolated attribute

* add test for quantize_dequantize_linear_resolver

* fix comments

* apply comments

* aplying comments

* applying comments

* applying comments

* Replace q_dq_resolver using pattern

* clean imports

* fix imports

* fix pattern

* delete refernce to unit tests
2022-01-25 15:35:43 +03:00
.ci [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
.github Use clang-12 for U20 (#9867) 2022-01-24 14:23:16 +03:00
cmake Use clang-12 for U20 (#9867) 2022-01-24 14:23:16 +03:00
docs OV 2.0 c++ configuration API (#9870) 2022-01-25 12:43:56 +03:00
inference-engine [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
licensing Move licensing to docs folder in install package (#9842) 2022-01-21 19:14:02 +03:00
samples Device memory fix for benchmark app (#9880) 2022-01-25 15:10:34 +03:00
scripts [Scripts][Driver] Updated script logic with approved for 2022.1 driver (#9801) 2022-01-21 13:38:51 +03:00
src Fix begin and end mask in StridedSlice in builder::opset1::flatten (#9837) 2022-01-25 13:04:36 +01:00
tests [OMZ]: try update submodule (#9830) 2022-01-25 13:29:30 +03:00
thirdparty [OMZ]: try update submodule (#9830) 2022-01-25 13:29:30 +03:00
tools Model Optimizer incorrectly convert per-channel Quantize/Dequantize operatros to FakeQuantize (#8321) 2022-01-25 15:35:43 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
.gitmodules [GPU] Moved onednn_gpu to plugin folder (#9458) 2021-12-29 11:06:14 +03:00
CMakeLists.txt Update year to 2022 in copyright notice (#9755) 2022-01-19 01:07:49 +03:00
CODEOWNERS [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
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README.md [README.md] change latest release to 2021.4.2 2021-11-16 22:12:20 +03:00
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OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch) PyPI Downloads

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:

Support

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