* 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>
* Implement LookupTableInsertV2 shape inference
It is needed if other nodes not beeing pruned in the graph
have a conditional dependence on LookupTableInsertV2 node.
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix after core-review #1
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix the code after review #2
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix after code review #3
`GetBlob()` as well
- test were extended to cover case when input tensors are copied into
Blob return by `InferRequest::GetBlob`
- channel number of input tensor is made a test parameter
* Sync GNA lib calls to avoid multi threads and plugins crash
* Remove TODO
* Enable sync for GNA1
* Fix GNA1 sync
* Add core_threading_tests to GNA Plugin to address story 31709
* Disable and change test description
* fix typo in LRN docs
* fix link to reference in LRN doc
* LRN, LRN_IE types alignment with spec
* align LRN ref implementation to plugins behavior
* update LRN docs
* Improve LRN reference implementation performance
* restore LRN constructor with no axes in the input
* apply code format
* revert double->float size_t->int change
* small fix to example in doc
* revert double->float size_t->int in onnx_importer and backend tests
* Changes to docs after review
* 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
* 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
* add a new constructor of Loop op, resolve review remarks
* Extend MO for operation GatherND
* Update documentation
* Rename GatherNd.py to gathernd.py
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove extra functions from run_timetest.py
* Add `log.debug` of raw and aggregated statistics in run_timetest.py
* Implement storing of models locally for test_timetest.py
