* Reduce number of ops needed to create InstanceNorm
InstanceNorm in onnx importer creates the same subgraph for Mean twice - once for Variance and once for actual Mean.
This change makes InstanceNorm to use single Mean which is shared by numerator and Variance.
Also enables IE_CPU.onnx_model_instance_normalization test case
* Revert changes to .gitignore
* 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.
Add `OUTPUT_STRIP_TRAILING_WHITESPACE` option to `execute_process` command.
Latest CMake (tested 3.18.1) doesn't strip new line from `protoc --version` call,
which leads to wrong `PROTOC_VERSION` variable and failure on git fetch step.
* 1d case optimization
* code refactor
* concat optimization
* removed using template for concat
* unit tests to concat constant folding
* synchro with current master
* v1::Pad reference implementation
* ut fix: pad_negative_exterior_1d
* ut fix: pad_negative_exterior_1d_check_limits & pad_edge_1d
* Code formatting
* ut fix: pad_edge_1d_top_neg & pad_edge_1d_top_neg_bigger_than_tensor
* More Pad UT fixes
* Pad UT fixes: REFLECT mode
* Fix all Pad UTs
* Switch Pad evaluation in INT backend
* Non-template solution to v1::Pad::evaluate
* Always create v1::Pad with 4 inputs
* VS compilation error fix
* Python test fix
* Remove the v0::Pad constant folding pass
* Some extra checks in v1::Pad evaluator
* Code formatting
* Remove an obsolete CF test
* Added bool to u8 conversion
* Added opset1::ShapeOf handler
* Added ReduceLogicalAnd/Or support in ConvertPrecision pass
* Moved static map inside function; Updated callbacks
* Removed header
* Fixed tyle relaxed for cases when the same output consumes by multiple inputs in the same operation; added tests; fixed input types setting for already created type relaxed operations
* Removed reference implementations from public API
* Remove coordinate_transform from public API
* Introduced static library with reference implementations
* 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
* Added new predicates for smart pattern matching
* Added ConvMul and GroupConvMul fusion passes based on opset4; Added CPU functional tests for comparing fusion accuracy
* Improved ConvMultiply fusion to support scalars; Added positive and negative tests
* Added ConvolutionBackprop/GrouConvolutionBackprop Multiply fusion; Added functional tests
* Added test
* working ManagerWrapper
* Clean-up in ManagerWrapper
* worksave
* fixed building error
* Finished test of constant folding
* remove unused param
* Added get_vector function
* clean up
* RTTI base for ngraph::Node; cherry-pick from another branch, draft
* Added comments, moved code, switched to custom RTTI-based version of is_type
* Move rtti definitions in ngraph op class to the beginning of each class definition as a preparation for the next replacement
* Migrate part of operations to new RTTI
* Migrate GroupConvolution and Concat to new RTTI
* Apply code style for ngraph part
* Rename RTTI_DECLARATION/DEFINITION to NGRAPH_RTTI_DECLARATION/DEFINITION
* Reverted accidentally updated version of mkldnn
* TMP: rewrite RTTI back to constexprions as an attempt to fix static objects initialization order issue
* Apply ngraph code style
* Finalize move back to constexpr for RTTI
* Applied code-style
* TypeRelaxed template class implementation and necessary changes in ngraph + tests.
* Applied code-style
* Fix in fast algorithm in GraphRewrite, add new tests for this and other cases
* Make parent optional parameter for NGRAPH_RTTI_DECLARATION and remove Node::type_info; remove ability to have Node as a parent for type_info
* Try to resolve compilation error on Windows
* The next attempt to fix Windows build: re-introduce get_type_info_static
* Removed file that was removed in master and kept in this branch by mistake
* Next attempt to fix Windows build: externConstexpr
* Attempt to fix win build: extra public (suspect icc bug), remove get_type_info_static as useless.
* Next attempt to fix Windows: proxy const and constexpr
* Fixed constexpr
* Next attmpts: move get_type_info to cpp file
* Code stype fix
* Re-implemented RTTI without use of constexpr; run-time initialization is used; removed global definitions to avoid issues with order of static objects initialization
* Removed externConstexpr flag and removed TRANSFOMRATIONS_API for TypeRelaxed
* get_type_info_static initializes static local constant with type_info that is used for CLASS::type_info and CLASS::get_type_info
* Removed not needed debug output and useless comments
* Implemented better copy ctor for Node
* Fixed VisualizeTree issue for TypeRelaxed: stopped using < and > in type_info::name
* Better comments and names for methods
* Remove unused include
* Remove commented line
* Workaround for legacy conversion that uses Node::get_type_info().name as a type for the resulting CNNLayer leading to incorrect types for TypeRelaxed-based operations and then to fail in plugins
* Fixed typos, explicit ctor for TypeRelaxedBase, explanation for the need of get_overridden_output_type
* Fix typo
* Fixed issue with non-static name in type definition for TypeRelaxed and fixed WrapType to make it compatible with hierarchical relations between types
* Reverted default ctor for Output and reverted ability to reduce number of outputs for a Node; syntactically better debug message for a Node
* Cover methods of TypeRelaxedBase by tests
* Apply code-style
* unroll ti transformation, lstm sequence ie, rnn sequence ie
* Update unroll ti transformation, added GRUSequenceIE op, fixed several ti e2e tests
* apply ngraph codestyle
* fix naming after unroll transformation
* Added default constructor for RNNCellBase, fix conversions
* copy runtime info
* added UnrollTI unit tests
* clean up, move sequence ops in a separate PR
* clean up, ngraph code style
* temporary disable ngraph reader unit tests for ti
* fix unit tests on windows
* naming: use name of tensor after unroll tensor iteration transformation
* apply transformations to tensor iterator body, separate pass for ti transformations, fix naming issue
* fix build
* remove TensorIterationTransformations pass
* fix includes
* resolve conflicts
* fix build: incorrect includes
* remove split/concat for single iteration of TI, update to opset4, unit tests
* use matcher pass instead of graph rewrite
* try to enable UnrollTI transformation for all plugins
* disable unrollTI transformation for cpu plugin
* resolve review comments, enable unit tests
* update transformation description
* fix unit tests
* update transformation pipeline
* clean up
* clean up
* resolve review comments
* Draft version of the Swish nGraph operation and fusing transformations for different approaches to express the operation
* Swish fusing transformation refactoring
* Added Swish operation and extractor for TF. Removed unfolding transformation for the operation.
* Added SwishIE. Implemented transformation to convert Swish to SwishIE.
* Code style fixes
* Updated Swish reference implementation. Added tests for shape and value inference
* Fixed code style for Python API
* Fixed unit test
* Apply review comments
* Use matcher_pass_callback
* Make m_alpha attribute protected in the SwishIE operation
* Fixed Swish op PythonAPI test
