* Use GroupNormalization in ONNX FE
* Add and enable decomposition transformation
* Add NodeRegistry
* Adjust eps type
* Use Unsqueeze for bias and scale adjustment
* Add transformation tests
* Add Squeeze for bias and scale to ONNX FE
* Simplify get_range helper
* Add cast double to float eps helper
* Adjust reduction axes
* Style alignment
* Add float eps values in tests
* Enable accuracy comparator in transformation tests
* Skip F16 ref test
* Namespace adjustment
* Const ref for shape vec
* Remove nested scopes from transform tests
* Rename function to model in tests
* Add more const to variables
* Use common input shapes and elem type in transform tests
* Add ticket number to the test
* Update tests headers and names
* Use compatible ror rank check
* Use move to insert splits in new shape
* Add docs to cast_eps helper
* Additional test for eps
* Use versions instead of opset
* Include each op separately
* Added AVX2 optimizations for score preprocessing
* Revert special scaling case for scale factor 1.0f
* changed dimension variables to size_t, fixed warnings
* fixed bug with exporting scores
* Used templates in conversion functions
* Refactor after review
* Linux build fixes
* Review fixes
* Review fixes
* Add two plane YOV to Grey conversion
* Add i420 to grey conversion
* Add yuv to grey conversion for GPU
* Fix cmakes
* Remove static from local function
* Remove opencv dependency from tests
* Put grey_from_yuv_single_plane into namespace
* [CPU] Leftovers for Extension convert I64/U64 to I32.
* Fix as per comments
* Fixes as per commits 2
* Fixes as per commits 3
* Revert "Fixes as per commits 3"
This reverts commit 84022be66f64faccd96a32da5611db0e5137d049.
* Some fixes
* Test fix
* 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>
* rrn seq base common shape infer init
* Update and add shape infer to all seq rnn based ops
* Use shape_infer in lstm seq core op
* Use shape_infer in rnn seq core op
* Unified shape infer for rnn cell base
* Update and add missing cells shape_infer functions
* Use shpe_infer in rnn_cell
* Update shape_infer map
* shape_infer tests
* Move new shape_infer to TA map
* More tests and shape improvements
* Introduce common base tests
* Fix merge conflict
* Missing setters and default ctor tests
* Use RNNCellBase class instead of template type op
* Update v0 LSTMSequence to use RNNCellBase as parent class
* Style
* V0::LSTMSequence update
* Specify opset in shape infer registry
* Move rank check
* Output vec generation refactor
* Update num_dir_validation
* Tests warining fix
* Test types adjustment
* Commented code cleanup
* Move test helpers to test fixture
* Common default ctor tests for Cell
* Update GRU shape infer tests
* Update LSTM shape infer tests
* Update RNN shape infer tests
* File names update
* Functions renaming
* Cast hidden size in test
* Move v0::LSTMSequence conformance test
---------
Co-authored-by: Pawel Raasz <pawel.raasz@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
* [GPU] disable blocked format for dynamic shape model(#18448)
* [GPU] Return default format for output layout rank when user node is reshape in get_preferred_format
- Rollback code to disable blocked formmat for dynamic shape
* [GPU] Add unit test checking has_reshape_user
* [GPU] remove redundant comments
* 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>
* Update DepthToSpace to use ngraph shape infer
* Remove legacy block_size limitation for static shape
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Add TCs for ov_gpu_func_tests and ov_gpu_unit_tests
Signed-off-by: Andrew Park <andrew.park@intel.com>
---------
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Add GroupNorm reference implementation
* Clean up
* Handle GroupNorm in ov namespace only
* Simplify the flow
* Add various scale and bias tests
* Fix batches case
* Add more float tests
* Set output shape
* Set output shape
* Fix missing includes
* Move to ov namespace
---------
Co-authored-by: Michal Lukaszewski <michal.lukaszewski@intel.com>
