6bb5a2c3cb
* Added tests for 2D DFT when we have signal_size and axes [0, 2].
* Rewritten reference implementation of DFT and IDFT.
* Code style fixes.
* Reverted changes.
* Added debug prints.
* Temporarily commented some functions.
* Reverted changes in (I)DFT reference.
* Added more debug prints (in evaluates_map.cpp, to evaluate() for IDFT).
* Added setting output shape for DFT and IDFT evaluate() in evaluates_map.cpp.
* Added more tests for signal_size case of DFT.
* Written tests for signal_size case of IDFT.
* Deleted debug prints from (I)DFT reference implementation (the file fft.cpp).
* Deleted debug prints from evaluate() for DFT and IDFT.
* Deleted debug prints from tests for DFT.
* Deleted debug prints from IDFT tests.
* Code style fixes.
* Enabled CPU evaluation tests for DFT and IDFT in CPU supported cases.
* Enabled CPU (I)DFT layer tests.
* Copied fix for specialization of function is_float() for (b)float16 from Pertovsky Aleksandr's PR 5654.
* Reverted changes in the function is_float() from ie_precision.h.
* Disabled BF16 CPU FuncTests for (I)DFT.
* Deleted filling 'buffer' by zeros. Simplified the function lengths_except_given_axis.
* Small fix.
* Code style fix.
* Reverted deleting 'std::fill(buffer.begin(), buffer.end(), complex_type{0.0f, 0.0f});'
* Reverted changes in the function lengths_except_given_axis().
* Changes in the function lengths_except_given_axis().
* Small fix.
* Deleted commented code.
* Simplifications in the function lengths_except_given_axis().
* Deleted commented code.
* Enabled BF16 (I)DFT CPU FuncTests.
* Fixed comments before disabled (I)DFT IE_CPU tests.
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*.
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