Fix LSTM support in ONNX
* fix LSTM and add peephole support
* disable old tests
* turn lambdas into functions
* more hacks for c++98
* add assertions
* slice fixes
* backport of cuda-related fixes
* address review comments
dnn : int8 quantized layers support in onnx importer
* added quantized layers support in onnx importer
* added more cases in eltwise node, some more checks
* added tests for quantized nodes
* relax thresholds for failed tests, address review comments
* refactoring based on review comments
* added support for unsupported cases and pre-quantized resnet50 test
* relax thresholds due to int8 resize layer
Add Normalize subgraph, fix Slice, Mul and Expand
* Add Normalize subgraph, support for starts<0 and axis<0 in Slice, Mul broadcasting in the middle and fix Expand's unsqueeze
* remove todos
* remove range-based for loop
* address review comments
* change >> to > > in template
* fix indexation
* fix expand that does nothing
* support PPSeg model for dnn module
* fixed README for CI
* add test case
* fixed bug
* deal with comments
* rm dnn_model_runner
* update test case
* fixed bug for testcase
* update testcase
Support non-zero hidden state for LSTM
* fully support non-zero hidden state for LSTM
* check dims of hidden state for LSTM
* fix failed test Test_Model.TextRecognition
* add new tests for LSTM w/ non-zero hidden params
Co-authored-by: Julie Bareeva <julia.bareeva@xperience.ai>
Added OpenVINO ARM target
* Added IE ARM target
* Added OpenVINO ARM target
* Delete ARM target
* Detect ARM platform
* Changed device name in ArmPlugin
* Change ARM detection
Conv1D and Pool1D for CUDA backend
* CUDA-independent changes
* Add Conv1D and Pool1D for CUDA backend
* CUDA-independent changes
* Fix typo
* fix comment
* Update fix
* make changes more correct for pooling layer
* Minor fixes for review
* Split skip blocks
Support for Pool1d layer for OpenCV and OpenCL targets
* Initial version of Pool1d support
* Fix variable naming
* Fix 1d pooling for OpenCL
* Change support logic, remove unnecessary variable, split the tests
* Remove other depricated variables
* Fix warning. Check tests
* Change support check logic
* Change support check logic, 2
Fixing dnn Resize layer for variable input size
* Fix onnx loading of resize/upsample layers for different opset
* group all DynamicResize tests
* cleaned up scales checks
* Simplify branching
Fix loading issue for Faster RCNN model from #16783
* Add a reproducer with multi-output Gather
* Fix an issue with ONNX graph simplifier
* fix build
* Move checks to correct class
* Minor changes for better code appearence