This change implements a subset of FrontEnd API for ONNX:
Changes:
- move onnx_common, onnx_editor and onnx_import to ngraph/frontend/onnx
- introduce new target 'onnx_frontend_ngraph' located in ngraph/frontend/onnx/frontend
- new target implements subset of FrontEnd, InputModel and Place interfaces
* minor changes in Op class and add ref impl for acosh
* acosh in new test framework
* add Acosh type test
* add SLT for Acosh
* run more test
* new acosh plugin test
* add visitor test
* fix test utils
* add template test for all supported types in Acosh
* add builder to template tests
* update grn template_plugin test
* update maste to feature branch
* Fix NormalizeL2Fusion and allow LpNormalization to be fused to NormalizeL2
* apply code format
* use cast_vector<uint64_t>
* use MKLDNNNormalizeL2Node::isSupportedOperation in normalizeL2FusionCallback
* Static library for ngraph::frontend_manager
* Static + Shared versions
* Fix CI
* USE_STATIC_FRONTEND_MANAGER macro
* Set USE_STATIC_FRONTEND_MANAGER compile definition as public
* Revert back incorrectly removed line
* Apply more review comments
* Add retinanet convert doc
* Fix doc
* Update doc
* Fix doc mistakes
* Update doc
* Update doc according to review
* Split some text to several lines
* Update ie_docs
* Update title for ie_docs
* Change tabs to space
* Remove split-concat subgraph before pad op
* Fix unit tests
* Add unit tests for PadNormalizer
* Fix according to review
* add propagation up for Pad
* Fix value propogation
* Remove PadMormolizer
* Refactoring according to review
* fixed crash related with loading model with fq and sigmoid
* renamed multiple_input.* to multiple_input_fq.*; removed two unnecessary FQ layers from smoke_fq_fusion_with_sigmoid test; moved FQ params to test params
* update docs
* add sign to intActivationTypes
* add RTTI macro
* update backend test
* add type prp test
* add visitor test
* add visitor and type_prop test to CMakeList
* add sign to constants.py
* delete backend tests and create new reference tests
* style fix
* remoove sign backend test from CMakeList
* create reference test for all supported types
* remove boolean type from evaluate method
* Update spec for MVN-1 and MVN-6.
* Add reduction_axes attribute to MVN-1.
* Fix mean value calculation using ReduceMean.
* Correct reduction_axes attrbute name.
* Restore default value for normalize_variance and eps_mode.
* Remove dafult value for required attributes.
* Correct typeo.
* new implementation of FakeQuantize
* move FakeQuantize backend test to fake_quantize.in.cpp
* enable some test for FakeQuantize
* Add support for PDPD broadcasting and some backend tests
* arm plugin expect less attributes in function call
* try to fix arm plugin build
* try to build arm plugin
* start changing backend test
* add check for attributes number in visitor test
* fix backend test after refactoring
* add default parameter value to runtime::reference::fake_quantize
* Revert "add default parameter value to runtime::reference::fake_quantize"
This reverts commit 9d2c00d967.
* add SLT for FakeQuantize
* remove fesetround
* change `v1` namesapce to `v0` in ref impl
* add FakeQuantize-1 to VERIFIED_OP_REFERENCES
* pass immutable reference to test functions
* Move detailed description up, add backtics to attr types
* Add backtics for range in clip attr description, remove non-existing attributes
* Adjusting the spec to review comments
* floating-point instead of floating point, remove default value for mandatory attribute
* Add GRN shared single layer test instance for CPU
* Remove GRN backend tests from fused_op.in
* Init GRN new template reference tests
* Add more bias values to GRN single layer tests
* Add more GRN template reference test cases
* Remove unused parameter from GrnParams
* Refactor GRN template referene tests and add more types
* Add anonymous namespace
* Add bf16 type to cpu single layer tests
* Add Serialization test
* Add GRN to revised ops
* ConvertMatmulToPointWiseConvolutionTest first test
* add ConvertMatmulToPointWiseConvolutionFqTest
* use general functions to create test subgraphs
* use general funstion to append node; add ConvertMatmulWithBiasToPointWiseConvolutionTest
* add ConvertMatmulWithBiasToPointWiseConvolutionFqTest
* use decorator instead of bool function arguments
* remove unused functions
* cleanup
* add ConvertMatmulWithFqToPointWiseConvolutionTest
* add ConvertMatmulWithFqToPointWiseConvolutionFqTest
* add ConvertMatmulWithFqToPointWiseConvolutionTestNoAddNode
* remove debug
* add ConvertMatmulToPointWiseConvolutionTestInputRank3
* use TEST_P for ConvertMatmulToPointWiseConvolution tests
* use testing::values fixture instead of multiple tests
* cleanup
* use combine tests for invalid inputs
* code style cleanup
* fix unique_ptr build under Windows
* code review fixes: function template params
* code review fixes: remove duplicated test entry
* fix function arguments alignments
