* initial changes (IR not generated)
* extractor fix
* convert tdnnf (with correct infer)
* refactoring + comments in code
* added unit tests + couple fixes based on tests
* change order for old convolutions
* fix pylint
* small refactoring
* added if to remove changes in old irs
* doc updated
* fix layout and kernel shapes for old convolutions
* fixed test
* moved test
* fix import in test
* fixed backward compatibility
* review fixes
* Add check for ~= sign for modules versions check
* Add unit test
* Update check for environment markers
* Update check for ~= sign
* Update unit tests
Co-authored-by: achetver <anton.chetverikov@.intel.com>
* Change error raising to message printing
* Update modules versions check
* Update check and add unit test
* Fix wrong function call
* Update unit tests
* Fix test
Co-authored-by: achetver <anton.chetverikov@.intel.com>
* Removed test-generator from all MO requirement files except the dev one
* Moved all MO unit tests files to a separate directory
* Added __init__.py files to the tests directory. Fixed importing paths for some unit tests
* Fixed imports in all unit tests. Moved all unit test related files from the MO code to the dedicated directory
* Renamed directory with unit test utils
* Updated imports in unit tests
* %~dp0 can't handle path which include Space
The default OpenVINO install directory is C:\\Program file(86)\\Intel\\..., which contains space. So when users run this script, the path is wrong.
To handle this issue, I modify two part:
one is the python_command, use a local var to store this path.
The other is the errorlevel, just add double quotation marks
* fix python_command path issue
* delete unused blank line
* Added operation Roll to MO.
* Updated BOM file.
* Replaced FrontReplacementPattern with FrontReplacementOp.
* Added set_input_permutation() to Roll infer function.
* Optimize imports.
* Code refactoring.
* Code refactoring.
* Removed unnecessary variable.
* Added name to the second reshape.
* Added rename_nodes to set original op name be at second reshape.
* Small fix.
* Add keep split output ports without consumers
* Fix ir reader for split outputs
* Update unit tests
* Refactoring code according to review
* Fix unit test
* Fix
* Fixed framework name attribute for onnx, mxnet.
* Fixed framework name attribute for caffe.
* Removed unnecessary attribute setting from add_opoutput()
* Added identity nodes adding to outputs in mxnet loader.
* Removed unnecessary reformat.
* Removed unnecessary reformat.
* Added check for empty name.
* Used nodes indices instead of node names in loader.
* Code refactoring, small bug fixed.
* fix batch adding to init value of read value
* fix for batch in Kaldi models
* added broadcast to be able reshape in IE
* test fixes, added batch broadcasting to created constants
* pep fixes
* move all changes to 1 transformation
* added unit test and fix insertSelect transformation
* added comments
* remove unneeded params search
* fix element_size to send correct batch
* fix update batch in element_size
* couple fixes
* update BOM file
* fix review comments
* review fixes
* review fixes
* fix license headers
* Initial working solution
* moved bfs_search_apply_on_shapeof_subgraph_nodes from utils/graph.py to MarkShapeOfSubgraphDataType.py
* Reused bfs from MarkSubgraphsWithCorrectLayout.py
* fixed e2e precomit issues: specified correct const data_types, fixed BFS search staring point to avoid nodeless shapeof subgraphs
* fixed mxnet_rnnt: added converting all Const nodes in ShapeOf subgraph in MarkAndChangeDataTypeInShapeOfSubgraphs.py, revised Const values in transformations that affect ShapeOf subgraph nodes
* reverter ReverseV2ToReverseSequence.py and DecomposeBidirectionalRNNSequence.py
* in MarkSubgraphsWithCorrectLayout BFS search beauty applied
* apply review comments, returned back 'in_shape_subgraph' attribute
* graph condition added
* MO IR reader fix for mixed FP16 models, added replacer order placement comment
* moved to back phase
* new solution with marking nodes from bottom to top (WIP)
* successfully tested on back phase
* corrected unittest
* removed check for start nodes size in bfs
* fix transformations that insert f64 to f32 in shape subgraph
* corrected log.warning -> log.debug
* revised list if shape input operations added unittest for Const shape inputs
* applied @lazarevevgeny's comments
* licence head corrections
* [MO] Split iteration node for TensorIterator in case multiple consumers
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement additional BackEdgeTensorIterator and NonConstBeginStridedSlice transformations
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Finalize implementation of DIEN support by the MO tool
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add unit test for NonConstBeginStridedSliceReplacement transformation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix retrieving shrink_axis_mask attribute value
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Address the majority of review feedback
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Do not run transformations for TF 2.X OD API models recursively (needed for models with Loop operation)
* Added anchor front transformation to group all TF OD API transformations. Added new necessary dependencies from KerasRNN transformations related to While support
* Added JSON configuration files for TF 2.4 OD API SSD and EfficientDet models
* Updated documentation with table of supported TF 2.x OD API models
* Improved visualization of the dependency graph
* Updated version of the pre-processing transformation for TF 2.4 OD API models
* Fixes in the TF 2.x OD API models conversion
* Fixed order of applying mean/scale values for TF 2.X OD API pre-processing
* Updates to the documentation
* Fixes for the preprocessor block transformation for the TF OD API models
* Added code comments
* Fixed bom file
* Unit tests for the TF 2.4 OD API ObjectDetectionAPIPreprocessor2Replacement transformation
* Code cleanup
* Updates to the documentation on how to convert TF OD API models and graph dumper
* Added assert to make sure that operations in the `get_specific_ops_with_const_inputs` has exactly 2 inputs
* Add ScatterElements value propogation
* Add condition for input nodes
* Add asserts
* Refactoring scatter according to review
* Add unit tests for 1d axis tensor
* Refactoring according to review
* refactoring unit test
* Refactoring according to review
* Update unit test
* Update unit test
* Build python wheel w/o strict dependency to _pyngraph
* Exclude extra components which are not needed for IE python wheel
- myriad_compile
- myriad_perfcheck
- compile_tool
- inference_engine_c
* Some additional checks in the MO transformation UnsqueezeTileReshapeBlockToInterpolate.
* Refactored transformation UnsqueezeTileReshapeBlockToInterpolate: checks of applicabilty were moved into the separate function.
* Rewritten the MO transformation UnsqueezeTileReshapeBlockToInterpolate.
* Now we replace all block Unsqueeze+Tile+Reshape by Interpolate-4.
* Fixed comment.
* Added comments about applicability criteria.
* Some fixes.
* Small fix.
* Deleted redundant type casts.
* Added an example into comment.
* Now an interpolated axis length is calculated using the function node_to_get_shape_value_of_indices.
* Fixed tests.
* Optimized imports.
* Added support for Gelu-6 to the MO
* Adding Gelu-6 to ngraph and python API + some tests
* Fixed typo in the Gelu approximation mode
* Fixed Gelu-6 reference implementation for Tanh mode
* Added transformation to downgrade v6::Gelu to v2::Gelu
* Added specification for the Gelu-6
* Code style fixes
* The Gelu-6 operation specification update
* Fixed compilation issue in reference implementation for Gelu
* Fix compilation issues for some OSs
* Code style fix
* One more cpplint issue fix
* Fixed Gelu6 reference implementation compilation on Windows.
* Code style fix
* Fixed various ngraph unit tests
* Code style check
* Reverted Gelu-2 to be fused op
* Fixed Gelu6 downgrade transformation
* Added unit test for Gelu6Downgrade transformation
* Update copyright year
* Updated copyright year
* Replaced tab characters with 4 spaces in IR reader tests
* Code style fixes
* Added default value for GeluApproximation mode for Gelu-6 op
* Fixed code style for Gelu-6
* Changed order of parameters for the Gelu evaluate to potentially avoid backward compatibility issues with ARM plugin
* Fixed code style
* Introduced opset7. Moved Gelu6 to opset7
* Fixed non-updated transformation
* Fixed opset version in ngraph Python API for Gelu operation
* Fixed typo in the opset number in the documentation
* Reverted some changes related to Gelu6
* Updated MO to produce Gelu7
* Updated unit tests for Gelu
* Updated Gelu7 specification
* Changed gelu reference implementation. Added opset7 to Python packages
* Updated Python API tests for Gelu operation
* Code style fix
* Marked get_approximation_mode function as const
* Added missing "const" qualifier
* Fixed code style issues in tests
* Added extractor for MxNet operation Gelu
* Spelling issues fix
* Updated MxNet supported symbols
* Added NGRAPH_OP_SCOPE for Gelu7 validate_and_infer_types
* Fixed a typo in the comment
