bd949c6baf
* Add BinaryConvolution unit tests. * Changed types to u1. * Add BIN precision handling in TestCase class. * Refactored validate and infer types to enhance dynamic shape inference * Add type_prop test to cover invalid op cases and dynamic shapes * Fix style * Disable check for float type of data batch input * Add type_prop test for incompatible input channels in inputs * Disable backend unit tests * Fix style * Add reference implementation * Add backend tests * Add single layer tests * Add check for float element type of batch data input * Refactor backend test cases to compare with regular convolution * Add serialization tests * Clean up * Add 1D and 3D tests into op_eval * Changes in reference implementation to improve readability * Add ticket information for todo tasks * Fix implementation misbehavior for filter channels * Add backend unit tests to cover strides, dilations, padding, channels and batches * Add end of line into files * Change name of type_prop unit tests * Simplified lambda to get spatial dimensions of filters * Add comment to support filters input as Parameter * Add namespace details for BinaryConvolution utility functions * Address review comments Co-authored-by: jdanieck <jozef.daniecki@intel.com> |
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| SECURITY.md | ||
OpenVINO™ Toolkit
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.
Resources:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ modules: https://github.com/openvinotoolkit/openvino_contrib
- Intel® Distribution of OpenVINO™ toolkit Product Page
- Intel® Distribution of OpenVINO™ toolkit Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.