OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Vladimir Gavrilov f8ce57319b
Specifications of operations RDFT and IRDFT (#10242)
* Written the draft of the specification of the operation RFFT.

* Started to write the specification of the operation IRFFT.

* Small fix.

* Renamed RFFT operation as RDFT.

* Fix in Operations_specifications.md.

* Written the specification of the operation IRDFT.

* Fixes in examples.

* Fixes in opset9.md and Operations_specifications.md.

* Small fix.

* Replaced opset8 by opset9 in opset9.md.

* Deleted redundant sentences.

* Small fix.

* Replaced input_shape by data_shape.

* Fixed mistypes.

* Fixes of mistypes.

* Fixed typo.

* Fixed RDFT specification, in order to perform signal_size input as in TF and PyTorch.

* Fixes in examples for RDFT.

* Fixes in the output shape calculation of IRDFT. Now this calculation is as in TF and PyTorch.
2022-03-03 13:47:23 +00:00
.ci Update Linux Azure CI (#10739) 2022-03-02 18:00:32 +03:00
.github Fix NCC (#10105) 2022-02-03 16:51:26 +03:00
cmake Removed duplicated words (#10754) 2022-03-03 06:50:54 +00:00
docs Specifications of operations RDFT and IRDFT (#10242) 2022-03-03 13:47:23 +00:00
licensing Removed duplicated words (#10754) 2022-03-03 06:50:54 +00:00
samples [IE Samples] Improved processing outputs for model with more than one output (#10737) 2022-03-03 16:35:41 +03:00
scripts Fix MacOS DYLD_LIBRARY_PATH export (#10750) 2022-03-03 00:36:02 +03:00
src [IE TESTS][CONFORMANCE] Fix Crashes in ReadIRTest::SetUp() (#10736) 2022-03-03 14:10:07 +03:00
tests Update nightly memcheck models scope (#10709) 2022-03-02 18:03:28 +08:00
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.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 Moved ngraphConfig.cmake to root (#10618) 2022-02-25 15:47:21 +03:00
CODEOWNERS [VPU] Rename INTEL_VPU to INTEL_MYRIAD, move thirdparty and vpu_dependencies (#9827) 2022-01-31 16:58:33 +03:00
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LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
README.md Docs: Changed OpenVINO Runtime User Guide integration (#10187) 2022-03-02 20:07:52 +03:00
SECURITY.md Added SECURITY.md back (#3177) 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 OpenVINO™ Runtime C++ and Python APIs integrated with application logic.

This open source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, 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 TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

Repository components

License

OpenVINO™ 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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