Maxim Vafin c3ad7dc2a4 Specify AdaptiveAvgPool-8 and AdaptiveMaxPool-8 (#5773)
* Specify AdaptiveAvgPool-8 and AdaptiveMaxPool-8

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Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>

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Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
2021-06-10 18:09:35 +03:00
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2020-07-20 17:36:08 +03:00
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OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state 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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Python 15.5%
C 2.8%
CMake 0.9%
Cython 0.1%