Ilya Churaev 6159a5b0bc New ov::Function API (#7436)
* Generates tensor names

* Implement function helpers for Inputs/Outputs

* Fixed code style

* Share result tensor and add more tests

* Avoid not unique tensor names

* Print tensor name

* Fixed comment

* Fixed matmul transformation

* Fixed function evaluate

* Fixed typo

* Fixed interpreter backend

* Fixed comments

* Removed tensor names check

* Disabled negative tests

* Fixed NetworkContext_CNNNetwork tests

* Fixed GNA tests

* Remove reset names

* Fixed code style

* Temporary disable names generation

* Revert "Temporary disable names generation"

This reverts commit 133315a611.

* Fixed mapping generation and e2e tests

* Fixe Myriad tests

* Introduce AtomicGuard to fix possible thread issues

* Fixed comments
2021-09-24 07:11:02 +03:00
2021-09-20 18:37:32 +03:00
2021-09-13 13:39:42 +03:00
2021-09-24 07:11:02 +03:00
2021-09-22 18:53:22 +03:00
2021-05-31 15:24:56 +03:00
2018-10-16 13:45:03 +03:00
2020-11-17 16:44:44 +03:00

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.

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Languages
C++ 80.5%
Python 15.5%
C 2.8%
CMake 0.9%
Cython 0.1%