* Change request.infer to use param_names instead of request._input_list because it fix the bug
* remove xfail mark
* remove xfail_issue_35893 form tests/ __init__.py
* Remove xfail_issue_35893. Add OnnxBackendNodeModelTest.test_convtranspose_3d_cpu to xfail_issue_38091
* Remove OnnxBackendNodeModelTest.test_convtranspose_3d_cpu from xfail_issue_38091 in test_backend.py
- introduced type_dispatch primitive
- refactored SplitX and MergeX kernels to use type_dispatch
- extended SplitX and MergeX to support 8S, 16U, 16S, 32S types
* Update md files. Add cpp in docs/examples
* Normalize all the line endings
* Fix block_id in snippets
* Fix utf-8 encoding
* Add new folder for snippets
* Fix issues with compiling code from snippets
* Added conteiner iterator fix
* fake quantize single layer test for GNA plugin
* implemented fakequantize for fp32 case as an activation function
* added proper seed randomisation within single test run
* [GNA] [FAKEQUANTIZE] fixed ref-fp32 implementation on GNA to use nearbyint instead of roundf
* [GNA] [FAKEQUANTIZE] restored random seed
* [GNA][FAKEQUANTIZE] disabled 4d and integer tests for FakeQuantize
* [GNA][FAKEQUANTIZE]updated ngraph FakeQuantize builder to accept seed
* [GNA][FAKEQUANTIZE]aligned FP calculations order on GNA with reference ngraph - this however gives more error
* [CPU]build of FakeQuantise tests restored
* [TESTS][FAKEQUANTIZE] ignore extra inferRequests for disabled tests
* [GNA] Fixed legacy unit test failuers appeared due to extra check for possible segfault in import frames
* [GNA] adopted fuse multiple identities for FakeQunatize layer
* [GNA]fp32 runtime code review
* Backport of FQ+Mul transform to master
* Accept any type of input to FQ in the transformation
* Test the fusion when all FQ inputs are non-const
* Fusion test when only one output limit is const
* Test passing the output of FQ to second input of Mul
* Specify in and out precisions separately, add layouts for convolution
* Align convolution layer tests instantiations with updated definition
* Align convolution layer tests instantiations with updated definition for template plugin
* net, in, out prcs
Co-authored-by: Mikhail Treskin <mikhail.treskin@intel.com>
* UWP fixes
* Commented code for compilation with UWP
* Current state: compiled for DESKTOP_APP
* Fixes
* Added toolchain
* Enabled ONNX imported for Windows Store
* Updated toolchain
* Fixes
* Disable ONNX in case of UWP
* Fix for Windows Driver
* Applied style check
* Dynamic loading of GetDLLDirectory symbols
* Clean-up in the toolchain
* Updated mkldnn plugin cmake
* ConvertPrecision - saturate Constant's value to std::numeric_limits<dst_type>::lowest() if it's below that limit.
* Remove clamping to std::numeric_limits<int32_t>::lowest() in U32/U64 case
* fix bidirectional case in references of sequences ops, enable decomposition of bidirectional cases in CommonOptimizations
* introduce new opset5, include GRU/RNN/LSTM Sequences to opset5
* Revert "introduce new opset5, include GRU/RNN/LSTM Sequences to opset5"
This reverts commit 73c22a11db.
* Introduced a new way to test DSR+Op cases
* Enabled DSR_Reduce, DSR_VariadicSplit, DSR_TopK, DSR_Scatter, DSR_Unsqueeze tests
* Other disabled tests are still disabled until reference function is implemented. Added related comments
* Reduce DSR+Op tests execution time via reducing tensor shapes
