Duncan Ding 5ce5f9e0c8 Revise SoftPlus operation reference implementation 37559 (#5938)
* change threshold to 20 instead of max limit of data type

* add invalid input type test case

* add invalid input data check

* add input type dynamic check

* add backend test case

* add more clarity on spec and align with real implementation

* Revert "[CPU] Fix for  CoreThreadingTestsWithIterations tests (#5892)"

This reverts commit 115aa143ef.

* Revert "Revert "[CPU] Fix for  CoreThreadingTestsWithIterations tests (#5892)""

This reverts commit 95afa50d94.

* Revert "change threshold to 20 instead of max limit of data type"

This reverts commit 91af825056.

* Revert "add more clarity on spec and align with real implementation"

This reverts commit a3b232a8fb.

* add visitor attribute test case

* Revert "add visitor attribute test case"

This reverts commit 610728f1ab.

* add attribute test case

* revise the attribute visitor test per parametrized visitor API PR: #6181
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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*.

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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C 2.8%
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