* [TF Hub] Cover TF Hub use cases with adoption to OpenVINO
This is necessarily to demonstrate support of models programmed with TF Hub API
through OV notebooks.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Preserve original keras input and output tensor names
* Add tests with TF Hub API models
* No KerasLayer handling
* Handle specific signature
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Switched ONNX to 1.14
* Updated IR_VERSION in the tests
* Assigned an extended tests to issues
* Switched ONNX to 1.14.1
* Slightly relaxed requirements for ONNX 1.14.1 and updated conan.lock
* [TF Hub][TF FE] Preserve outputs of ConcreteFunction from signature and their names
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix naming and complete TODO
* Apply code-review: extra assert to check input_signature
* Fix inputs for fw
* Fix input data preparation and import convert_model
* Correct variable detection among all inputs
* Handle special input and output signature
* Fix adjust_saved_model_names
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [PyOV] clean up in tests
* use generated model in tests
* fix ci
* return back fild
* fix ci 1
* fix ci2
* update
* move models
* return back deleted test
* move model creation from conftest
* fix ci
* fix ci
* WIP Postpone fp16 in CompressFloatConstantsImpl
* Apply suggestions from code review
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* WIP: Compression to FP16 in Serialize
* Prepared for efficient fp32 to fp16 conversion
* Update src/core/reference/src/runtime/reference/convert.cpp
* Called real slow reference implementations in the place where the optimized versions are supposed to be implemented
* Code style
* Fixed 0 values in the fast f64 to f16 compression
* Optimized convert_from_f32_to_f16_with_clamp
* Added optimized f32->f16 instance of change_constant_precision
* compression transformation Python test
* use tmp dir, minor corrections
* Update src/bindings/python/tests/test_transformations/test_compression.py
* Update src/bindings/python/tests/test_transformations/test_compression.py
* style fix
* define rt_info for postponed_fp16_compression
* remove redundant class
* fix temp dir for Win in test_compression.py
* update definitions in convert.hpp
* Update implementation in convert.cpp
* Update serialize.cpp
* Update compress_float_constants.cpp
* added macros for ARM/non_x86 in convert.cpp
* fix macros in convert.cpp
* change fixme placement in serialize.cpp
* style_fix
* Update src/core/reference/src/runtime/reference/convert.cpp
* style_fix
* Optimized count_out_of_f16_range
* Code style
* Revert unused
* Update src/core/src/pass/serialize.cpp
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* Update src/core/reference/src/runtime/reference/convert.cpp
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* use optimized convert_from_f32_to_f16_with_clamp for non postponed
* minor corrections
* Update src/common/transformations/src/transformations/common_optimizations/compress_float_constants.cpp
* Update compress_float_constants.cpp
* Switched mo and ovc to save_model instead of serialize to leverage performance improvements in fp32->fp16
* Applied minor code imporvements to address review feedback
* Minor changes in code
* Update tools/ovc/openvino/tools/ovc/main.py
* Apply suggestions from code review
* Fixed failed test in case when both usual xml compression and fp16 compression are applied simultaneously (disabled for now)
* Added description for CompressFloatConstantImpl postponed parameter
* Description of postponed parameter for CompressFloatConstants
* Reverted switching to save_model in mo as the compression can be applied not only via CLI and old code should be kept for Python path (not applicable for ovc)
* Removed remining committed test artefacts and reverted remaining changes in mo
---------
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
Co-authored-by: dmitrygo <dmitry.gorokhov@intel.com>
Co-authored-by: Vladimir Paramuzov <vladimir.paramuzov@intel.com>
Co-authored-by: Pavel Esir <pavel.esir@intel.com>
Co-authored-by: Pavel Esir <pavel.esir@gmail.com>
* TorchFX caching bugfix and improvements
* Fixed inconsistent env variable for Backend device
* Identify PyTorch FrontEnd Decoder type
* Added import statement in init files
* Registered ts_openvino as a separate backend
* Added caching fix and removed extraneous code
* Changed the name of ts backend
* Fixed issue with local temporary object
* Removed import statement from init files
* Changed the documentation
* Added get_supported_ops method for decoders
---------
Co-authored-by: Cavus Mustafa <mustafa.cavus@intel.com>
Co-authored-by: ynimmaga <yamini.nimmagadda@intel.com>
* Fixed output_model logic.
* Removed InputCutInfo, disabled input cut in ovc.
* Disabled output cut, added tests for setting shapes or types for not all inputs.
* Returned support of numpy type.
* Separated MO and OVC python API tests.
* Small corrections.
* Added output dir test, exceptions test.
* Tests fixed.
* Corrected extension param description.
* Corrected input description, minor code corrections.
* [PT FE] Use weight share switch in frontend
* Return static for function
* Update src/bindings/python/src/openvino/frontend/pytorch/ts_decoder.py
* Fix issue with quantized constants
* Add tests for shared
* Fix issue with kwargs in signature
* Update src/bindings/python/src/openvino/frontend/pytorch/ts_decoder.py
* Fix problem with some ops in detectron2
* Use debug name for extra input signature
Siddhant Chauhan