* [MO] compress_to_fp16=True by default (2dn attempt)
* fix unit-tests
* second round of fixin unit-tests
* set compress_to_fp16 default to True in ovc/cli_parser.py
* use save_model in mo_python_api_tests
* enforce compress_to_fp16=False in test_zero_copy
* selectively compress depending on the path user has chosen to generate IR
* corrected doc
* allow compress_to_fp16=False/True for ovc
* doc and unit-tests failing fix
* user save_model in ovc cli tool
* revert back serialize and compress_model but into main instead of moc_emit_ir
* cover more argument combinations for cli tool and convert_model
* Added Torchscript Backend
* First commit for backend with Torch FX Decoder
* Merging changes from Torch FX branch
* Torch FX initial fixes (Temporary)
* Fixed type/shape issues in Torch FX decoder
* Added translation for built-in getitem
* MaxPool update & Output shape fix (Torch FX)
* Torch FX graph outputs fix
* Torch FX support for sigmoid and slu_
* Torch FX graph module caching
* Torch Fx partitioner cache removed
* Torch FX initial getitem replacer added
* Index check for torch fx getitem replacer
* Debug print removed from partitioner
* Added environment variables for pytorch tracing mode and openvino device
* FX translation fix for getitem & getitem replacer removed
* Added checks for PyTorch tracing mode environment variable
* Adding compile mode for fallback
* Added more ops for resnet18
* Added a check for environment variable
* Generalized addmm to work with torchscript and torchfx
* Added the missing batch_norm.default translation
* fx_backend: include get_attr ops to the partitions
* AddeTODO note t to improvget_attr algorithm
* created function for adding get_attr nodes
* fx_backend: added aten.mul.Tensor, re-enabled aten.empty.memory_format
* fx_backend: Additional op support/improvement for Inception V3
* Added comment for fix 64-bit to 32-bit max int conversion
* fx_backend: Update for avg_poolnd to support 3 inputs
* Fixed erorr in decoder.py
* TorchFX caching fix
* Torch backend, op support for Stable Diff. & BERT
* Arranged ops in order and added torch tensor mapping
* Added support for more ops for super glue
* TorchFX: Initial permanent fallback
* TorchFX: New ops for improved TorchVision support
* TorchFX backend optimizations for partitioning and tmp fallback
* working operator updates for superglue
* Updates to operators for superglue
* Removed max.dim and stack
* Cleanup
* Cleanup
* Fixed a couple of syntax issues
* Fixed a couple of syntax issues
* Added missing method to TorchFX Decoder
* Added missing method to TorchFX Decoder
* Removed redundant code for transpose
* TorchFX: Initial StableDiffusion support
* PyTorch decoder ovtype to ctype fix for int64
* Added ops for distilbert
* Fixed few unnecessary include statements
* Seperated TorchFX and TorchScript decoders
* Modified import statements to reflect two decoders
* f64 fix for TorchFX
* Import fix for PyTorch backend modules
* TorchFX serialize graph for debugging (Temporary)
* Serialize and load back feature enabled for TorchFX
* Temporary optimization to remove Broadcast
* Temporary SoftmaxRehapeElimination pass is added
* TorchFX custom model cache directory
* PyTorch bitwise translation, conversion checks enabled
* Naming fix in make_list_construct
* TorchFX: Added comments to Softmax and Slice translations
* translate_chunk temporarily removed for TS backend
* Fixed linter issues
* Addressed clang formatting issues
* Fixed few more clang and linter issues
* Fixed tests to use ts_decoder
* Fixed naming convention issues
* Added missing import
* Added inlined_inputs to TorchScriptDecoder
* Added tests for torch fx backend
* Removed magic numbers in PyTorch decoder utils
* TorchFX decoder data type fix
* Added cast from size_t to int
* TorchFX output handling code cleanup
* TorchFX: Use detached input tensor
* Added missing cast from size_t to int
* Added static cast in group_norm
* Fixed casting issue in split
---------
Co-authored-by: ynimmaga <yamini.nimmagadda@intel.com>
Co-authored-by: Cavus Mustafa <mustafa.cavus@intel.com>
* WIP: parameters cleanup
* Removed debug output, fixed CLI
* Fixed python objects conversion
* Finally renamed mmap to share_weights
* Fixed TF conversion from a file or a directory
* Fixed obvious errors in unit tests
* Deleted layouts from OVC. Fixed most of the fails in ovc unit tests (there are still failures)
* Clenaup other references to layouts and fixed --version
* Fixed case when two model files are passed in TF case
* Fixed multiple model parts passing in ovc command line
* Tests fixed, support of unnamed input in cli parser.
* Remove convert_model from runtime.
* Changed silent to verbose.
* Removed transform param.
* Removed example_input, share_weights from ovc cli tool.
* Remove wrong change.
* Test fix.
* Code corrections.
* Returned comment.
* WA to fix process hanging after extension loading.
* Removed not needed code.
* Added comment.
---------
Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
* [PT FE]: support nested inputs in example_inputs and arg dicts with different argtypes
* accept hande lists as inputs
* Update tools/ovc/openvino/tools/ovc/moc_frontend/pytorch_frontend_utils.py
* update tests and add comments in code
* fix for custom types in annotations and duplicate in mo
* Update tools/mo/openvino/tools/mo/moc_frontend/pytorch_frontend_utils.py
* Removed copy of consts in translator, added test.
* Fixed memory loss for tf.Const.
* Added test, minor corrections.
* Update src/bindings/python/src/openvino/frontend/tensorflow/node_decoder.py
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Test corrections.
* Added comment.
---------
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* [TF FE] Support Switch and Merge to fuse into If operation
It introduces support of TF1 control flow with Switch and Merge nodes.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Add script for test model generation
* Fix code-style
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix build issue
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix build issue with types
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code-review feedback: optimizations in utils
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix build issue
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code-review remarks and cover more cases
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Remove commented code
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Remove unused vars
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Update MO unit-tests wit Switch-Merge case
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix build issue: remove unused variable
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Add sub inplace
* Add scatter implementation
* Remove debug var
* Add tests for empty index
* Add reduce support
---------
Co-authored-by: Michal Lukaszewski <michal.lukaszewski@intel.com>
* skip validation, always include cmake
* rm unconditional inclusion of zlib
* always include zlib
* correct path for builtin_extensions
* find builtin extensions recursively
* include test_utils always
* add logs for build_samples
* skip tests with dir accessing
* remove platform specification for samples build
* do not pkgconfig on win, use cmake generic on linux for samples
* rm make
* fix num_threads
* use bare numbers
* skip failing
* skip test_lrn_basic
* find zlib
* print error of downloading
* add linux pipeline
* do not save cache from PRs; add skipif only in GHA
* rm caching
* evaluate against a string
* do not include test_utils to the install dir
* add support for scalar shapes into cli_parser.py
* add test-case with scalar shapes for convert_model
* reordered inputs in test-case with scalar shapes for convert_model
* minor clarifications
---------
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* prim::TupleUnpack and prim::ListUnpack removing transformation in PT FE to flatten input list and tuples
* Enabled tuples and lists as items in example_inputs
* Applied code style
* Added tests for tuples as inputs and extended test infrastructure to support it
* Negligible performance optimizations
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fixed duplicated names of test classes
* Added description for tuple flattening transformation
* Removed any support for list flattening on inputs; fixed layer tests
* Fixed style
* Fixed order of new Parameters and Results while flattening tuples
* Fixed style
* Better diagnostics when not all prim::TupleUnpack ops after Parameters are decomposed
* Small fix in diagnostics message
---------
Co-authored-by: Ekaterina Aidova <ekaterina.aidova@intel.com>
Co-authored-by: Andrei Kochin <andrei.kochin@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
Co-authored-by: Alina Kladieva <alina.kladieva@intel.com>
* Used pip wheel to build OpenVINO wheel
* Added convert_model() to openvino.runtime.
* Removed duplication of InputCutInfo, LayoutMap
* Switched Model Conversion API tests to convert_model from openvino.runtime.
* Small correction.
* Format correction.
* Small correction.
* Removed duplication of moc frontend files.
* Small correction.
* Removed duplication of cli_parser, offline_transformations.
* Code corrections.
* Removed code duplications.
* Removed code duplications.
* Updated codeowners.
* Switched layer tests to convert_model().
* Improvements
* Small correction.
* Caffe parser path fix.
* Added python api properly into deb / rpm packages
* Moved implementation to ovc tool.
* Moved implementation to ovc tool.
* Small correction.
* Use cmake -E variant from cmake 3.13
* Namespace fixes.
* Minor fixes.
* Pylint fixes.
* Fixed BOM file.
* Small corrections.
* Minor corrections.
* Minor fix.
* Error fixes.
* Added telemetry requirement.
* Improvements to fix CI
* Some refactoring
* Don't use developer package for scripts projects
* Added exception in case when MO is not imported.
* Removed exception from init.
* Removed changes from cmake.
* Added unit ovc tests, fixed minor errors.
* Added ovc unit tests to azure.
* Corrected imports.
* Fixed path to tests.
* Added missed files.
* Corrected github labels.
* Removed benchmark app from dev package.
* Small fix.
* Small corrections.
* Comment fixed.
* Removed changes from setup.py
* Removed not needed change.
* Removed duplicating unit tests.
* Removed wrong change.
* Removed not needed change.
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Added ovc tool test, corrected imports.
* Added legacy TF config test.
* Removed not needed files.
---------
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* [PT FE]: use example input for dtype and rank detection, support unordered input dict
* Apply suggestions from code review
* restore old behaviour for old torch versions
* move info addition after parsing
* Support operations on aliases of tensors
* Add tests
* Fix issue with convnd
* Fix code style
* Fix issue with tensor index of mutated tensor
* Fix if types alignment
* Fix issues in keypoint detectron2
* Fix issue with masks in detectron2
* Fix acuracy issue in mobilevitv2 models
* Remove unused includes
* Return upsample case in lictconstruct replacer
* Fix types, apply review feedback
* Apply feedback
* Revert change of not using shared_from_this for getitem
* Fix issue in prim::device transformation
* Fix layer tests
* Apply review feedback
* Fix issue with not existing alias to tensor
* Custom attribute reading and While operation support
* Rearanges FLATBUFFERS_LOCALE_INDEPENDENT setting
* Style
* Make flatbuffers code as version independent as possible
* Comments addressed
