* BinaryConvolution specification refactoring.
* Aligh tensor types to current CPU implementation.
* Remove !D & 3D case becuase CPU plugin supports only 2D case.
* Add pad_value to the example.
* Add computation algorithm for mode 'xnor-popcount'.
* Computation formula refactoring.
* Fix typo in the description.
* Added attributes save modes
* Added tensor names to IR
* Reformat code
* Add support for tensor names in MO IR Reader
* Unit tests and code refactoring
* Fixed error
* Code refactoring
* Code refactoring
* Code refactoring
* Error fixed
* Error fixed
* Bug fixed
* Bug fixed
* Additional unit tests and comments
* Small update
* Update fake infer function
* Update names restoring
* optimize imports
* Add support for old-style constants and for commas in reader
* Added dest mode in Fuse Mul
* Update default values
* Fix missed debug info in some specific cases
* Fix a lot of issues with missedand wrong names provoding
* Resolve review comments
* Update test IR's
* Refactor and simplify code
* More simplification
* Remove unneccessary changes
* model-optimizer/mo/utils/ir_reader/layer_to_class_test.py
* Add separate tests for names restoring
* Update copyright year
* Apply review comments
Co-authored-by: Anastasia Popova <anastasia.popova@intel.com>
* Redirect StageDependencies from injected stage to the parent of the injection.
* Change StageDependencyEdge to be Stage<->Stage connection. In fact, it affects only stages order, so it would be more natural (also more convenient) to represent it so.
* Add injectedStageDependencies to InjectionEdge to be able to distinguish those dependencies that were added to hwStage during the injection process and make the revertion correct.
* Changed check for dimension size to be non-negative
* Added unit test for reading model with ShapeOf from scalar and fixed IE IR parser
* Added comment to the test
* Fixed ShapeOfFromScalar test
* Fixed incorrect merge
* Added test for a negative value of "dim" in IR
* fix ss
* successfully converted
* successfully run moved infer and normalizer unit-tests
* successfully rewritten StridedSlice infer unittests
* int64 array
* Successfully converter crash-when-loading, xj_feauture and toy nets (cherry-picked maxpoolV4 and tf_broadcast_ext)
* successfully moved PermuteAttrs to general mechanism
* successfully converted xj_feauture and crash when loading with the new rewritten SS infer
* fixed get_shape_from_slice and moved to common utils
* fixed extending masks and some other
* some refactoring
* fixed extending masks in extractor, fixed licence year and some other code clearing
* corrected a couple of unittests
* fox permute for 5 rank slice and 4 rank inputs/
* WIP
* Added comments
* fixed StridedSlice in ProposalMutation.py
* rechecked shape_infer unittests added some new cases
* added shape_infer unit-tests after StridedSliceNormalizer pass and Permute unit-tests
* corrected unittests
* Applied review comments
* general permutations for inputs implemented, corrected ellipsis unrolling when shrink_axis is at the beginning, some other corrections
* removed code duplication in infer and normalizer, moved 'slices' attr normalizing to StridedSliceNormalizer.py
* removed some code duplication and other minor improvements
* Added tests
* minor corrections
* wider range of unittests added (froze the number)
* review comments applied
* enabled skipped unit-test
* comment corrections
* applied review comments: changed op -> type, added some asserts, corrected comments and other minor corrections
* sorted inputs, updated Supported_Frameworks_Layers.md, some minor
* Refactoring FunctionsComparator - extract node comparison part
* try to fix logic and CentOS bulids
* Add negative test for precision
* Use fixed ngraph::descriptor::Tensor type instead template type
* reorganize ngraph_test_utils.cpp
* Cleanup after merge master into branch
Co-authored-by: Patryk Elszkowski <patryk.elszkowki@intel.com>
* Reformulated, intermediate. No positive indices.
* Indices >= 0, depth > 0.
* Added the Types section and a more complicated example.
* Behavior for negative indices is undefined
* Wrap T1 & T2 with *
* Revert mkl-dnn to cae1e0b83
* T1: int32 or int64 only
Nikolay Shchegolev
Jozef Daniecki
Anton ChetverikovandAnastasia Popova
Maxim VafinandGleb Kazantaev
Michał Karzyński
Vladimir Paramuzov
Andrew Bakalin
Katarzyna Mitrus
Evgeny Lazarev
Daniel
Ilya Lavrenov
iliya mironov
Vladimir Gavrilov
Maksim Kutakov
Polina Mishanina
Yanglei Zou
Irina Efode
Vladislav Golubev
Tomasz Jankowski
Tomasz Socha
Mateusz Bencer
Jan Iwaszkiewicz
Patryk ElszkowskiandPatryk Elszkowski
Andrey Sokolov
Pavel Esir
Andrei Kochin
Mingyu Kim
Elizaveta Gerashchenko
Andrey Sazonov
Ilya Churaev
Andrey Dmitriev
dependabot[bot]
Ivan Novoselov
Andrey Somsikov
Bartosz Sledz