785828d321
Makes DTS for BinaryEltwise produce empty output tensor in case if at least one input is empty. As criteria for empty tensor ReduceMin is used (assuming all shape's values are non-negative). Tests are changed accordingly. Trying to add a new test case on inference with empty input, reference version failed, so those tests are left unchanged.
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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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