* Change `VPUX`/`VPU` occurrences to `NPU`
* Switch `HARDWARE_AWARE_IGNORED_PATTERNS` VPU to NPU
* Rename `MYRIAD plugin`
* Rename vpu_patterns to npu_patterns in tools/pot
* Rename vpu.json to npu.json in tools/pot
* Rename restrict_for_vpu to restrict_for_npu in tools/pot
* Change keembayOptimalBatchNum to npuOptimalBatchNum
---------
Co-authored-by: Dan <mircea-aurelian.dan@intel.com>
* Remove inits, update main one
* Fix stacklevel
* Testing wrong solution
* Testing test test
* Fix test test test test
* mo modules mo problems
* Xfail test that check stdout/err?
* not so correct solution to circular imports
* Fix or not to fix
* CMake magic, co-authors: my best team
* Fix package imports
* Fix tools inits
* Fix ovc tf
* Fix Q000
* Fix F401
* Fix linters
* Add save_model
* Remove LayoutMap
* Move test_utils to 'internal modules'
* First testing
* Missing Type
* Expand main namespace
* Change some more tests
* Add OVAny to namespace
* Add Constant and Parameter to namespace
* More tests changes
* Fix inits
* Add layout_helpers to main namespace
* Revert CMake and linux.yml with ovc
* Update main inits
* Remove MO from tools inits
* changes to init files
* Fix tests
---------
Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
* [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
* Fix -api sync for single -data_shape
Tickets 111187 and 111185
I wasn’t able to find C++ equivalent of Python’s `info.original_shape.is_static`. Later I realized that it shouldn’t be considered because -shape cmd arg should have higher priority for shape inference than model’s shape. So I removed it from Python.
Replace
`if benchmark.inference_only and batch_size.is_dynamic:`
with
`if allow_inference_only_or_sync and batch_size.is_dynamic:`
to reset batch_size to static in case of dynamic shape with single -data_shape
* Check only app_input_info.size() == 1 because if it's gretaer than 1, input shape is dynamic and there are more that one static shapes. Apply TODO
* [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>
* Implementation of MMAP for ONNX FE
* fix win offsets
* added virtual dtor to MappedMemory
* review remarks. part.1
* added disable mmap flag to MO
* added additional checks to mmap
* remove unnecessary const
* fix pybind default value
* Added args.disable_mmap = False to MO tests
* fixed MO test
* avoid global headers
* fix casting for win
* disable mmap for legacy frontends flow
* review remarks
* Fixed passing parameters
* added doc to MappedMemory and load_mmap_object
* Made MO cli parser independent from OVC, added OVC Pylint test, minor fixes.
* Small corrections.
* PyLint fixes.
* Added init files.
* PyLint fixes.
* Small correction.
* Removed OVC dependency from MO.
* Fixed MO unit tests.
* PyLint fixes.
* Unit tests fix.
* Returned MO unit tests.
* PyLint configs.
* Small correction.
* Moved offline_transformations to back.
* Moved offline_transformations to back.
* 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>
* Used pip wheel to build OpenVINO wheel
* Improvements
* Added python api properly into deb / rpm packages
* Use cmake -E variant from cmake 3.13
* Improvements to fix CI
* Some refactoring
* Don't use developer package for scripts projects
* Final fixes
* [CompileTool] Throw when a plugin config is missing a space separator between key and value
* Use OPENVINO_ASSERT macro to check for the separator presence
* [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
* [MO][TF FE] Remove WA for supporting different TF formats
After providing direct support of all TensorFlow formats, we are ready to remove WA
that converts all unsupported formats to frozen protobuf using native TensorFlow
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Debug failure for LSTM multicell
* Reset default graph before entering session
* Remove temporal debug info
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
Anastasiia Pnevskaia
Stefania HerganeandDan
Maxim Vafin
Jan IwaszkiewiczandSergey Lyalin
Tatyana RaguzovaandArtyom Anokhov
Pavel Esir
Ilya Lavrenov
Ekaterina Aidova
Mateusz Bencer
Zlobin Vladimir
Roman Kazantsev
Andrey Kashchikhin
Maciej Smyk
Przemyslaw Wysocki
Anastasiya(Asya) Pronina
Sebastian GolebiewskiandTatiana Savina
Karol Blaszczak
Maxim Kurin