- re-enable quantized models tests

original commit: a079c2eb

fix max_unpool missing attributes, add default value of keepdims in reducemean/max/sum, add support for keepdims=true in full reduction branch, add new padding type to Pad

Onnx conformance tests

* Add ONNX conformance tests

* dnn(test): add filters for ONNX conformance tests

* add filter lists for OCV backend

* address review comments

* move test_clip_inbounds to all_denylist

* address clip issue

* avoid empty lists
Co-authored-by: NAlexander Alekhin <alexander.a.alekhin@gmail.com>

fix ceil_mode for Average/MaxPooling

* fix ceil_mode

* add a comment

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 Min layer to CPU, OpenCL, Halide, Inference Engine, NGraph and CUDA

* fix indentation

* add min to fusion and halide tests; fix doc

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

fix ONNXImporter diagnostic mode layer registration issue

* fix layer registration, thread unsafe access and align the behavior of DNN_DIAGNOSTICS_RUN between onnx and tf importers

* move skipModelInput

* print all missing layers

* address TF issue

* Support cumsum layer for onnx

* Add unit tests

* Address review comments

* Support activations(Sigmoid, Tanh) for LSTM

* fix warning

* Add initialization and inference for GRU layer

* fix issues found on review

Split layer dispatch into functions in ONNXImporter

* split layer dispatch into functions

* fixes

* identation and comment fixes

* fix constness

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: NJulie Bareeva <julia.bareeva@xperience.ai>

* Fix bug while loading onnx model in debug

* dnn: fix other .at using
Co-authored-by: NAlexander Alekhin <alexander.a.alekhin@gmail.com>

ONNX diagnostic tool

* Final

* Add forgotten Normalize layer to the set of supported types

* ONNX diagnostic tool corrections

* Fixed CI test warnings

* Added code minor corrections
Co-authored-by: NSergey Slashchinin <sergei.slashchinin@xperience.ai>