* Loop op ngraph implementation, update IE IR Reader and ngraph to cnn converter
* refactoring SubGraphOp class
* type prop unit tests
* ngraph code style
* update comment
* single layer tests for Loop operation
* fix file name
* Add SpecialBodyPorts attribute in Loop op, update single layer tests
* first debug version
* more tests
* missing test file
* removed not needed shapes from test data
* move test data to new folder
* shape infer tests
* Added execution tests
* add several new tests cases, strict checks in Loop impl, temporary disable single layer tests
* ngraph codestyle, refactoring, clone_new_args test
* resolve review remarks
* fix build
* fix tests
* more execution tests
* add a new constructor of Loop op, resolve review remarks
* execution tests
* synchro with current version
* handle scalars and more tests
* scalar test enabled
* loop reference impl
* bug fixes in tests, onnx importer part and in the ref implementation of the Loop op
* applied remarks
* handle unsupported cases
* rewrite unit tests
* update INTERPRETER manifest
* is_termination_condition_always_true simplification
* [TEST] update python models tests
* review remarks
* added xfail to tiny_yolov3
* missing model test
* revert test data
* fixed numbers of failing tests
* fixed failed test description
* fix test message
* fix xfail test
* reference implementation for ngraph::function
* update loop reference implementation
* Refactor loop reference implementation
* ngraph codestyle
* Refactoring
* Submodule update
* Skip check for Reduce ops in mkl for scalar cases, support for yolov3
* fix ngraph reader tests
* revert ceiling op, renaming
* Add allias(Ceiling) for Ceil op in mkl
* delete xfails
* fix build
* single layer tests for tensor iterarator
* Refactor TensorIterator and Loop ref impls
* revert dynamic tensor creation, disable some dynamic test cases
* fix warning
* Resolve review remarks
* revert Predefined values in Loop tests
Co-authored-by: Mateusz Bencer <mateusz.bencer@intel.com>
* Add Round-5 operation
* Add ONNX Round to supported operation list
* Add ngraph implementation for Round operation
* Update MO part
* Create UnaryElementwise class, update Round Operation
* Fix mode attr in mxnet extractor
* Add tests for Round shape infer
* Update 'enable' attr
* Update MO IR Reader to support UnaryElementwise operations
* Minor test refactor
* Update ngraph Round operation
* Add reference implementation
* Add test for reference implementation
* Add test for shape infer
* Add test for IE IR Reader
* AddRound operation to python api
* Fix missed mode attr
* Update Round operation version
* Fix codestyle
* Add MxNet Round to supported layers list
* Fix error in reference
* Fix comments style
* Update CMake file
* Update Ngraph reference test
* Update IE IR Reader tests
* Return v0::Round operation
* Update shape infer tests
* Fix v0::Round reference
* Fix codestyle
* Enum instead of string
* Fix codestyle
* Add Mode attribute adapter
* Update Mode attr
* Fix reference for v0::Round
* Fix codestyle
* Fix mode attr
* Fix get() method
* Fix codestyle in python api
* Update test info
* Fix ngraph api part
* Ad round v5 to interpreter tests
* Fix codestyle is ie reader test
* Update ngraph python api __init__.py file
* Adde opser5 to dafault opsets in ie_ir reader
* Add parser for Round layer
* Remove redundant spaces
* Add round creator to appropriate list
* Remove redundant import
* Commit to bump infrastructure version
I'm sorry for this, but this commit will be squashed on merge to master anyway and it is needed for your PR to correctly pass the pipeline
* Fix import
* fix codestyle
* Fix ngraph api part
* Add shape infer tests in python api
* Add .upper() for mode attr
* Refactor MO shape infer test for Round op
* Update tests and add comments
* Revert "Commit to bump infrastructure version"
This reverts commit 56e6ae1e4c.
* remove parser for Round layer
* Update Ronund-5 evaluate test
* Resolve review comments
Co-authored-by: User <user@nnlvdp-achetver.inn.intel.com>
Co-authored-by: Andrey Babushkin <andrey.babushkin@intel.com>
Co-authored-by: Anton Chetverikov <anton.chetverikov@.intel.com>
* Replace Constant with Parameter in run_op_node.
* Pass inputs to function.
* Add func to get shape.
* Make constant if input is scalar.
* Add case for list.
* Fix test.
* Split tests for run_op_node and run_op_numeric_data.
* Split more tests.
* Split more and more tests.
* Mark tests with xfail.
* Mark more tests with xfail.
* Replace scalar with parameter.
* Code formatting.
* Set empty shape for scalar.
* Remove check for list.
* Enable ngraph python tests
* Refactor and unify ngraph with onnx python tests
* Revert deprecated test cases
* Set ngraph and onnx python tests as a one test suite execution
* Change unstrict Xfails to strict ones
* Update after review:
- add model zoo to onnx tests,
- improvements of tests
* Revert mounting zoo models dir
Co-authored-by: Michał Karzyński <4430709+postrational@users.noreply.github.com>
Tomasz Dołbniak