* move frontend folder to pyopenvino
* rename includes and add compile options
* include frontend to pyopenvino
* move __init__.py
* move tests
* remove mock from tests_compatibility
* rename import module
* Fix code style cpp
* refactor a few lines
* update few lines in mo
* Add pyopenvino to dependencies
* Fix mock
* update docstring
* Fix mo test
* remove module local
* fix code style
* update comment
* fix return type
* update docs
* fix code style
* fix building
* fix code style
* try to move MO to use new api
* Export more enum names from nrgaph
* [Python API] quick fix of packaging
* update tests
* fix setup.py
* small fix
* small fixes according to comments
* skip mo frontend tests
* update mo to new imports
* try to fix win wheel
* fix win wheel
* fix code style
Co-authored-by: Anastasia Kuporosova <anastasia.kuporosova@intel.com>
Co-authored-by: y <ilya.lavrenov@intel.com>
* dynamic shape calculation for GatherElements
* dynamic shape calculation for sparse_reshape, corrections for sparse_segment_mean/sqrtn/sum
* corrected dynamic_dimension_value, added two unit-test cases
* simplified solution, added missing Nones
* some corrections
* added a couple of more unit-tests
* Fix in the MO infer function of Gather.
* Added comment about done fix.
* Added more tests.
* Now Gather and AttributedGather are always marked as reinterp_shape=True.
* fix expand_onnx_functions
* refactor + unit test
* fixed function in function case
* fixed expand_onnx_functions
* fixed default value of shape in ValueInfo
* enable xpass model
* changed MergeFrom to Swap
* added xfail with missing test data
* added more unit tests
* styles applied
* used std::rotate, review remarks
* removed debug code
* after offline discussion remarks
* fix checking input/output names on Windows
* names comparator refactor
* replace regex with custom comparison
* review remarks
* added RemoveConcatZeroDimInput transformation
* added RemoveLoopDanglingParameters transformation
* chage place of passes during replace
* missing comment
* code refactor + unit tests
* remove unused headers
* used std::any_of in RemoveConcatZeroDimInput
* changed headers and namespaces to new ov convention
* used std::any_of in RemoveConcatZeroDimInput
* RemoveLoopDanglingParameters refactored
* changed names to RemoveMultiSubGraphOpDanglingParams
* handling multi-body cases
* Handling If case during RemoveMultiSubGraphOpDanglingParams
* comments and names refactor
* More tests for If and TensorIterator
* handle removing dagling param from one body and update all descriptors
* fixed test
* revert if change
* moved RemoveConcatZeroDimInput and RemoveMultiSubGraphOpDanglingParams to NopElimantion
* return false if node is not replaced
* added validate_nodes_and_infer_types
* Revert "moved RemoveConcatZeroDimInput and RemoveMultiSubGraphOpDanglingParams to NopElimantion" + remarks
* review remarks
* review remarks
* fixed subgraph rtti
* adjust passes to new structure
Covered case for 'trivial convert' where no permutation is needed
It is needed for Model Optimizer for logic which will guess model's layout, like "?c??"
* Removed 'inline' Preprocessing API
Even though this API provided a way to specify all pre/post-processing in one line - it was considered inconvinient
With 'getters' API preprocessing code looks more clear for user, so old' inline' API is removed
* Fix pyopenvino build issues
* Update after merged PR#8717
* Init implementation
# Conflicts:
# thirdparty/ade
* Switched to shared class
* Refactoring memory commit()
* Added unit tests
* Fixed output order
* Fixed input order
* Fixed split case
* fixed compiling issue in debug mode
* Enabled compact mode by default
* Fixed default order for inputs and outputs
* Changed unit test
* Enabled compact mode bye default
* reverted compac_mode flag order
* add subgraph instead of constant with fixed shape to allow model have undefined batch
* updated transformation (not checked yet)
* changed ReverseV2ToReverseSequence to support dynamic shapes/reshape;
added transformation to reverse_tensor_iterator to support new subgraph got from ReverseV2ToReverseSequence
* remove changes that should not be on this branch
* added tests;
fixed old transformation
* added delete of reversesequences to avoid run of transformation twice
* fixed pattern check for case with dynamic value for input of reversesequence
* Revert "fixed pattern check for case with dynamic value for input of reversesequence"
This reverts commit 0c04164e
* Revert "added delete of reversesequences to avoid run of transformation twice"
This reverts commit fcb7de9c
* reversed changes in reverse_tensorr_iterator for Squeeze case;
update reverse_tensor_iterator with shapeof subgraph
added permutations for attributes to pass layer test
* minor fix for dynamic shape
* updated test;
fixed backward compatibility in reverse_tensor_iterator transformation
* revew comments fixed:
added comments;
refactoring done;
fixed framework name saving for rank = 1
* minor review fixes
* small fix
* [GPU] fix Constant handling when it has multiple users and one if it is bprop conv
When constant is connected to ConvolutionBackpropData or GroupConvolutionBackpropData weights,
we need to swap 'O' and 'I' dimensions. That can be problematic if the same constant
is also connected to other nodes - since after swap - the dimensions may not match
the other node's dimensions.
To handle that, we can create a copy of that constant, replace backprop convolution weights
with that copy and create additional (to the original constant) cldnn::data primitive with swapped dimensions.
* fix windows build
* address review comments
