OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Tomasz Dołbniak dda6d9136b
Backport of FQ+Mul transform to master (#2214)
* Backport of FQ+Mul transform to master

* Accept any type of input to FQ in the transformation

* Test the fusion when all FQ inputs are non-const

* Fusion test when only one output limit is const

* Test passing the output of FQ to second input of Mul
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inference-engine Backport of FQ+Mul transform to master (#2214) 2020-09-21 13:21:27 +03:00
model-optimizer [ MO ] Complete weights layout permutation (#2299) 2020-09-18 14:42:16 +03:00
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OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

Stable release Apache License Version 2.0 Azure DevOps builds (branch)

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 two components: namely Model Optimizer and Inference Engine, as well as CPU, GPU 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.

Documentation

How to Contribute

See CONTRIBUTING for contribution to the code. See CONTRIBUTING_DOCS for contribution to the documentation. Thank you!

Support

Please report questions, issues and suggestions using:


* Other names and brands may be claimed as the property of others.