OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Vladislav Vinogradov bad4e97d9b
Extend and fix input/output precisions support in functional tests (#3933)
* Use actual blobs type to get nGraph element type,
  when generating inputs and calculating reference results.
  It will allow to run tests with `undefined` preset and
  use real type, returned from the device to generate and process input.
  It also fixes the case with several inputs with different type.
* Extend `convertOutputPrecision` function to fully support
  conversions from/to fp16/bf16 types.
  The device might return blobs in that formats, so they need to be
  supported by the testing framework.
2021-01-20 20:08:33 +03:00
.ci Azure CI: Add install (#3876) 2021-01-20 14:28:51 +03:00
.github Remove Java bindings (#3216) 2020-11-19 13:59:20 +03:00
cmake Fixed cmake 'message' for multiple arguments (#3901) 2021-01-19 15:35:31 +03:00
docs Added CC macro to transformations (#3795) 2021-01-19 10:19:25 +03:00
inference-engine Extend and fix input/output precisions support in functional tests (#3933) 2021-01-20 20:08:33 +03:00
licensing added third party programs files (#2751) 2020-10-23 18:03:01 +03:00
model-optimizer Implement ExperimentalDetectronROIFeatureExtractor operation as nGraph op (#3739) 2021-01-20 16:20:54 +03:00
ngraph Implement ExperimentalDetectronROIFeatureExtractor operation as nGraph op (#3739) 2021-01-20 16:20:54 +03:00
openvino Added CC macros to validate, clone and visit (#3730) 2020-12-25 17:20:48 +03:00
scripts Align location to OMZ demos (#3754) 2021-01-12 17:17:47 +03:00
tests Change json.loads to json.load for --db_metadata (#3871) 2021-01-19 18:33:00 +03:00
tools Adding MYRIAD_THROUGHPUT_STREAMS support (#3723) 2020-12-29 19:02:57 +03:00
.gitattributes Doc Migration (master) (#1377) 2020-07-20 17:36:08 +03:00
.gitignore publish master branch snapshot, revision 8d31237e2c3f673cbb0f0ba110fc10f5cce1d2bb 2020-05-22 02:23:12 +03:00
.gitmodules add submodules for mkl-dnn, gflags and gtest 2020-05-21 23:00:55 +03:00
CMakeLists.txt Partially removed ngraph cmake duplication with IE cmake (#3751) 2021-01-11 14:49:33 +03:00
CODEOWNERS Added code owners for scripts folder (#2130) 2020-09-08 17:23:27 +03:00
install_build_dependencies.sh [install_dependencies.sh] install latest cmake if current version is lower 3.13 (#2695) 2020-10-16 21:03:46 +03:00
Jenkinsfile [Jenkinsfile] Disable failFast & enable propagateStatus (#3503) 2020-12-10 12:05:03 +03:00
LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
README.md [README.md] change latest release to 2021.2 (#3638) 2020-12-16 14:13:51 +03:00
SECURITY.md Added SECURITY.md back (#3177) 2020-11-17 16:44:44 +03:00

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 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*.

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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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