* changed unit tests
* add unit tests; fixed
* code review fixes
* remove debugging
* remove debug code
* add tests to ov_cpu_func_tests
* add negative padding tests to ov_gpu_func_tests
* code review fixes: change point to check positive indexes; check Pad mode in the list of currently supported
* code review fix: move check in canBeTransformed
* lpt transformations: transition to api 2.0, ngraph -> openvino
* use ov namespace for lpt transformations
* fix low_precision usings
* includes refactoring
* delete RecurrentGraphRewrite and RecurrentMatcher as unused classes
* use ov header for itt; delete the disabled test
* delete the unused function
* suppress doxygen warning
* fix link in the documentation
* API 2.0 replace ngraph headers and namespaces in CPU, LPT etc transformations tests
* revert the incorrect renaming
* function -> model in arm transformation tests
* Fix the multible multiply case.
* Add test case.
* Fix CI issues.
* Fix the dynamic shape FC kernel creating issue.
* Expose FC weight with original linear layout to CPU graph.
* Apply review comments.
* Apply review comments.
* Applied review comments.
* Rename ngraph with ov in common_test_utils
* Fix comments
* Delete opset includes from commonTestUtils
* Fix CI and code style
* Apply comments
* Fix CI and apply comments
* keep Const+DecompressionConvert pattern for CPU
* temporary disabled failing unit-tests
* disable CF by modifying bounds evaluate as well; minor corrections
* added TODOs with ticket numbers
* join const+decompression markings
* minimized convert_precision.cpp changes
* minor corrections
* refactor fp16 transformations: moved into separate fp16_compression folder
* style-fix
* minor fixes
* do not disable evaluate and CF in shape path
* safer disabling of Const conversion
* style-fix and minor corrections
* restore original placement of ConvertPrecision
* Mark as deprecated nGraph API
* Fixed code style
* Added IN_OV_LIBRARY define
* Suppress warnings for log
* Suppress warning
* Updated nGraph headers
* Fixed build for macOS
* Fixed lpt and snippets
* Fixed build all on macOS
* Suppress some warnings
* Fixed some new warnings
* Fixed new warnings
* Try to fix some warnings
* More warnings
* Soome change
* Suppress more warnings
* Suppress warnings for transformations
* Suppress warnings for LPT
* One more fix
* Suppress more warnings
* Try to fix opset error
* Remove opset constructor
* Cannot fix opset warning
* Suppress warnings for offline transfromations
* Fixed some warnings for Windows
* Fixed code style
* Suppress some warnings for onnx FE
* Revert "Suppress some warnings for onnx FE"
This reverts commit 75d23b64fc.
* Revert "Fixed code style"
This reverts commit c6eba63116.
* Revert "Fixed some warnings for Windows"
This reverts commit 23d7ed88b6.
* Revert "Suppress warnings for offline transfromations"
This reverts commit 0b9f6317bf.
* Revert "Cannot fix opset warning"
This reverts commit 19ea658639.
* Revert "Remove opset constructor"
This reverts commit 06afb1bc20.
* Revert "Suppress warnings for LPT"
This reverts commit 58b1c0f5a0.
* Revert "Suppress warnings for transformations"
This reverts commit f8bb9814a1.
* Revert "Suppress more warnings"
This reverts commit f9f0da9acb.
* Revert "Soome change"
This reverts commit e545d4984e.
* Remove deprecation for ngraph::OpSet and FactoryRegistry
* [LPT] reused reference FQ implementation in fold_fake_quantize
* [LPT] Removed legacy parameters
* Added plugin tests with per-channel FQ for GrConv wo reshape
* Apply folding only in the case when FQ data input is constant
* EliminateFQ fix
* [LPT][TESTS] GrConv: added test cases with per channel dq on weights and without reshape
* FoldFQ: don't transform FQ with quantization by several dimensions
* ConvolutionTransformation: supported GrConv with per channel dq on weights and without reshape
* fold_reshape: refactoring
* fix special FQ with zero range in quantized models
* fix format & comments
* Add test case
* remove dot interval test case from smoke_LPT/FakeQuantizeTransformation.CompareFunctions
* Remove dot interval gpu test case because Pooling is also folded
* handle review comment
* fix code style
* update docs
* remove fold_zero_multiply
* Review interval shape and labels propagation
* Review shape infer template implementation
- add test for default ctor
* Add evaluate upper, lower and label
- add new default label evaluator which propagates labels
from inputs list
* default_label_evaluator for 0 input only is wrapper for
generic evaluator implementation
* Use default_label_evaluator in ScatterUpdate
* Fix build issues
* Added -Wall for Clang and GCC
* Fixes
* Don't use /J
* Fixed warnings
* Fixed warnings
* More fixes
* Fixed for MSVC
* Fixed more warnings on Windows
* Suppressed some warnings in template plugin
* Update src/tests/functional/plugin/shared/include/behavior/plugin/caching_tests.hpp
* Added suppression for PT FE
* Suppressed warnings in TF FE
* Suppressed warnings on Core unit tests
* Suppress warnings in python
* Suppressed Windows warning for 3rd party modules
* Suppresed one more warning
Ilya Lavrenov
Ivan Tikhonov
Edward Shogulin
andreyanufr
Anton Voronov
Evgeny Kotov
Ilya ChuraevandIlya Lavrenov
Vladislav Golubev
Oleg Pipikin
Luwei Zhou
Pavel Esir
Xuejun Zhai
Tingqian Li
Pawel Raasz
Mateusz Tabaka