* 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>
* added unit test
* added python test
* using pword approach
* Added passing path to onnx reader
* support for wstring
* Added more tests
* Apply suggestions from code review
Co-authored-by: Michał Karzyński <4430709+postrational@users.noreply.github.com>
* fix build for Windows
* styles applied
* Fixed Windows tests
* styles applied
* fixed styles in tests
* review remarks
* cmake order
* Used target_compile_definitions instead of add_definitions
* Move ONNX_TEST_MODELS to other scope
Co-authored-by: Michał Karzyński <4430709+postrational@users.noreply.github.com>
* Add MSFT models to OpenVino ONNX CI and update xfails
* Update paths
* Fix typo and update xfails
* Unset xfails to check current behavior
* Update:
* add MSFT models to preprocesing script
* update xfail names
* Final update of xfail test cases
* Update xfail paths
* Update xfails
* Uncomment part of preprocesing script
* Update script
* Add cleaning support for MSFT preprocesing
* Add -e option to script help
* Initilze variables
* Update ngraph/python/tests/test_onnx/model_zoo_preprocess.sh
Fix a mistake
Co-authored-by: Tomasz Socha <tomasz.socha@intel.com>
* Update ngraph/python/tests/test_onnx/model_zoo_preprocess.sh
align spaces
Co-authored-by: Tomasz Socha <tomasz.socha@intel.com>
Co-authored-by: Tomasz Socha <tomasz.socha@intel.com>
* Change request.infer to use param_names instead of request._input_list because it fix the bug
* remove xfail mark
* remove xfail_issue_35893 form tests/ __init__.py
* Remove xfail_issue_35893. Add OnnxBackendNodeModelTest.test_convtranspose_3d_cpu to xfail_issue_38091
* Remove OnnxBackendNodeModelTest.test_convtranspose_3d_cpu from xfail_issue_38091 in test_backend.py
some plugins
- added shared parameterized tests
- instantiated for template plugin
- instantiated for cpu plugin
- fixed CPU plugin to properly handle U16 input
- fixed CPU reverse_sequence primitive to alolw input/oputput tensors to
be in FP32 only
- updated ngraph test_simple_computation_on_ndarrays to not expect
failure on U16 input
* Make pybind more verbose in debug on windows
* Remove the NDEBUG flag everywhere
* Code complexity reduction...
* Missing colon
* And now the missing empty line...
* Reusable functions
* Now the mood of the sentence was wrong...
* Free functions instead of methods
* Do not remove convert after the topK
* Added debug message
* Removed xFail
* Revert "Added debug message"
This reverts commit a01ace4ade88d73e2797b47c58db33943b0f508d.
* Added test
* 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.
* Initial version of ReduceL1, ReduceL2 and ReduceLp enabling in the MO
* Added operations ReduceL1 and ReduceL2 to nGraph
* Removed ReduceLp. Added ReduceL1 and ReduceL2
* Separated specification of ReduceLp into ReduceL1 and ReduceL2
* Updated ReduceL1 and ReduceL2 specification
* Fixed ReduceL1 and ReduceL2 type prop tests
* Implemented nGraph transformation to decompose ReduceL1 and ReduceL2. Disabled them for CPU and GPU plugins
* Updated supported framework layers
* Added unit tests for ReduceL1 and ReduceL2 reference implementation
* Fixed ReduceXXX operations reference implementation by adding support for a new parameter 'keep_dims'
* Fixed constant folding for v0::Any
* Added ReduceL1 and ReduceL2 to Python API
* Implemented ReduceL1 and ReduceL2 decomposition tests and fixed ReduceL2 decomposition
* Added specific creator for ReduceXXX operations instead of NodeBuilders
* Fixed conversion ReduceXXX to CNNLayer
* Fixed parser for ReduceLogicalXXX operations
renamed logits -> bbox_deltas
updated ngraph unittests for Proposal
removed validate_and_infer_types Proposal-4
removed validate_and_infer_types Proposal-4
changed validate_and_infer_types in parent class of Proposal
removed get_output_size
successfully inferred Proposal on SSH and Faster-RCNN
added unittests for Proposal-4
added unittests for Proposal-4
added unittests for Proposal-4
returned back default namespace for Proposal
reduced number of outputs in v0::Proposal
correct conversion of Proposal-4 -> propodal_ie with 2 outputs
removed creator for proposal v0
removed converter for proposal v0
added Proposal-4 to MO
removed `for_deformable` attribute
added Proposal-4 to MO and nGraph Python API
removed typo in Proposal-4 specification
style corrections
style corrections and removed some redundant code
rename proposal Python api test
removed 'attrs' context from visitor
returned back AttrVisitor to check if passes OpenVINO ONNX pipeline
Should pass OpenVINO ONNX pipeline (returned back AttrVisitor just to check)
python api for Proposal-4 works ok
(style correction) python api for Proposal-4 works ok
parametrized proposal_ie some other corrections
removed 'attrs.' context from nGraph Python API tests for Proposal
minor corrections in replacer proposal->proposal_ie
corrected Python API OpenVINO-ONNX tests should pass
Improved workaround for AttributeVisitor for Proposal
Add additional check of im_info tensor shape to Proposal node in MKLDNNPlugin
😠 removed 4 extra spaces from test_dyn_attributes.py to match The Style
added new nGraph RTTI declarations, removed throwing exception in transformation
added new nGraph RTTI declarations, removed throwing exception in transformation, corrected exception in MKLDNNplugin
corrected im_info size checking in Proposal node of MKLDNNPlugin
