* grouped convolution resolver fix
* add reverse_infer for Transpose, Elementwise, Identity and some fixes to successfully OOB convert MXNet models
* add reverse_infer for BatchNorms, dynamic groups fix, multi_box_prior.py fix
* add reverse infer for trivial cases
* input rank setting for image detection ops
* reverse_infer for Gather, AttributedGather add todo comment for Parameter
* reverse infer for LSTM, swapaxis; fixes and unit-tests for Elementwise, Gather, Transpose; also generalized Parameter reverse_infer; fixed DetectionOutput and partial reverse_infer
* clarified comment for LSTM reverse_infer
* detalized Elementwise reverse_infer, added several more unit-tests, Split reverse_infer fix, IteratorGetNext_ext.py fix
* generalized group convolution resolver
* specified in_ports explicitly
* clarified Split, Concat, Parameter, other minor typos
* relaxed compatibility check for elementwise; simplified scalar extracting for convolution.py and gather.py, fixed replacer order for ConvolutionNormalizer.py
* added routine set_input_shapes for image detection ops
* fixed typos to pass locally E2E, slightly changed LSTM reverse_infer
* VariadicSplit reverse_infer bugfix
* IteratorGetNextCut.py added check if port is connected
* explicitly specified in_port, added asserts, improved Split reverse infer
* sorted imports
* reverse_infer for ONNX and MXNet LSTM, GRU, RNN operations
* replaced Error raising with red warning
* added missing return for defined input shapes, fixed getting num groups for tf conv
* added mandatory attributes; fixed failing unit-tests, fixed typo with scalar group in ConvolutionNormalizer
* removed priorbox reverse_infer; Parameter reverse_infer corrected to use the only one existing out_port
* fixed clarify_partial_shape_test
* Preserve outputs order TF.
* Preserve of input/output indices for MxNet.
* Small fix.
* Added check.
* Small fix.
* Corrected Keras model importing.
* Fixed Keras model loading.
* Small correction.
* Corrected model loading.
* Small fix.
* Comment corrected.
* Removed unnecessary import.
* add performance hint to time infer
* add reshape methods for time infer tool
* add func declarations to common_utils.h
* add check if node is static (reshape pipeline)
* changes in desc of reshape funcs
* fix logic operator
* add reshape utils.h | move parsing logic in main func
* add tests_shared_lib to CMakeLists.txt
* change fill blobs with setStaticShapesBlobs
* change delimiter
* Preserving of input/output indices for ONNX.
* Fixed checks.
* Fixed for case of multiple outputs of node before Result.
* Added test for multiple tensor names before Result.
* Multiple tensor names before Result fix.
* Added order alignment for user input/output.
* Extended for case of input names in Parameter tensor list.
* Fixed unit tests.
* Corrected help.
* Small correction.
* Code refactoring.
* Temporarily reverted refactor.
* Fixed wrong changes.
* Fixed wrong changes.
* Returned reverted refactoring.
* Removed inputs_list from serializing.
* [Python API] Remove offline transformations from old python api
* [Python API] Move wheel folder to the python dir
* codestyle files
* [Python API] Move old python bindings
* move api
* one more codestyle
* fix install stage
* remove unexisting file from gitignore
* flake8 style
* try to fix jenkins
* undo comments
* return variable
* remove cpack
* fix after merge
* try to fix version
* fix test
* remove debug info
* version of python
* try to fix pyversion
* update tests
Co-authored-by: Alexander Zhogov <alexander.zhogov@intel.com>
* Loop/If/TensorIterator - fix dynamic input cases
Reference evaluate for body uses Model::evaluate instead of custom evaluation
Loop/TensorIterator additional fix - set result shape according to body execution result
Only op_eval test verifies issues, template tests were added just in case (these passed even without fix)
* Fix clang-format
* rename ti.cpp
* move gpu functional tests for range to correct location
* disable range layer test on gpu
it needs dynamic shapes support
Co-authored-by: Serhii Pavlovskyi <spavlovskyi@lohika.com>
* Squash commit: implement Conversion extensions
* Refactor PaddlePaddle FrontEnd
* Codestyle
* FrontEnd,InputModel,Place base classes -> abstract, renamed model file
* Fix unit tests
* fix unit tests
* ngraph:: to ov::
* Rename frontends dir to frontend
* fix merge conflicts
* Fix ConversionExtension
* get rid of NamedInputs/Outputs in TF FE
* Rename paddlepaddle to paddle; pdpd to paddle
* add missing file
* codestyle
* Remove local change
* paddlepaddle -> paddle for azure configs and .md files
* fix package name, fix config files
* Fix win build
* Revert Broadcast/AutoBroadcast changes
* codestyle
* fix FronEnd class
* fix ngraph_cpp_api.config
* fix incorrect merge, codestyle
* fix conversion extension
* conversion extension
* codestyle
* merge master
* fix build
* refactoring; revert broadcast/autobroadcast changes
* codestyle
* fix MacOS config
* resolve merge conflicts
* refactor includes
* register ConversionExtension in FrontEnds
* move get_op_type to base NodeContex class
* set op_translator map in ctor of Paddle FE; fix unit tests
* update unit tests; codestyle
* codestyle
* preliminary version of conversion extension in pybind
* conversion extension
* get_attribute_as_any method for NodeContext
* move get_attribute methods to NodeContext base class, rename get_ng_input to get_input
* add missed file
* Implement ov::Any getter in ONNX NodeContext
* fix py bindings
* Add update ConversionExtension unit tests, add SO unit tests, fix TF FE
* fix segfault on destructor
* fix NodeContext interface, fix unit tests
* set different names for ConversionExtensions in unit tests
* fix PaddleFuzzy tests
* fix Paddle Fuzzy tests
* revert changes in generate_slice.py
* fix codestyle
* fix pybindings
* revert local changes in generate_slice.py
* delete duplicate exceptions.hpp
* Refactoring: fix names according to convention
* pybinding for NodeContext, FrontEnd, ConversionExtension; fix unit tests; implement new unit tests
* Refactoring
* fix the case when a new converter rewrites existed one; delete unnecessary NodeContext from pybindings; use CreatorFunctons from the base class in ConversionExtension; update unit tests
* Revert local change
* PythonAPI: fix get_attribute method; fix get_input method; implement support of dtype and default attributes
* Fix py unit tests: add support for vector<ov::element::Type> as attribute
* resolve review comments
* fix unit tests
* move extension_holder to openvino/frontend/extension folder
* fix build on mac os
* temporary disable cast from vector<bool> to investigate issue on mac os
* Resolve review comments
* Resolve review comments
* Use dev API for .so extension
* Link frontends to pyopenvino as separate targets
* Temporary enable tf fe installation
* ignore PEP8 E402 for init files, set correct directory for py modules
* revert local changes
* Fix deadlock in pybind GIL; fix Win build; fix PEP8
* fix PEP8
* Add a return type annotation
* fix builds; fix ON/OFF switcher for ENABLE_OV_xxx_FRONTEND cmake options
* Fix the issue with ifdefs on WinOS; fix the issue related to pybindings and static c++ object
* fix python unit tests
* fix static build on WinOS
* Retrigger CI builds
* Fix static build on Windows
* fix static build on Windows again
* Retrigger CI
* delete unused includes; add a comment about issue on MacOS
* fix missprint
* resolve review comments
* fix missprint
* resolve review remarks
* Resolve review comments
* win win wheels build
* resolve review comments
