Ilya Lavrenov 22233414f9 Static MSVC runtime (#8726)
* Try to fix Windows Azure

* Try static MSVC runtime

* Fixed type

* cnpy

* Rename

* Set CMAKE_MSVC_RUNTIME_LIBRARY

* Fixed issues with oneDNN

* Removed IB

* Minimize a number of threads

* Increase image size to avoid test failures on some platforms

There is an assert 'length >= nlanes' and 'nlanes' value depends on machine architecture
Set 320x320 test image to guarantee that image size >= nlanes

Also increased image size for 'plugin shared tests' to ensure the same (even though tests do not work with legacy preprocessing)

* Descreased to 160x160

* Specify toolchain for samples

* Build samples and its tests even for static build

* Used 3.21 to enable CMAKE_TOOLCHAIN_FILE env var usage

* Fixed cmake download path

* Set CMAKE_TOOLCHAIN_FILE conditionally

* Fix

Co-authored-by: Michael Nosov <mikhail.nosov@intel.com>
2021-11-24 15:04:38 +03:00
2021-11-24 15:04:38 +03:00
2021-11-24 15:04:38 +03:00
2021-11-17 01:22:04 +03:00
2021-11-24 13:40:39 +03:00
2021-11-24 15:04:38 +03:00
2021-11-24 15:04:38 +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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* Other names and brands may be claimed as the property of others.

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