* Add ov::label_t alias and set it to uint32_t
to simplify conversion to tensor element type
* Fix clang formatting
* Fix one hot test to use label_t
* Remove label types alias duplicates
propagate using alias for label types
* Correct label type in transpose tests
* Define label_t in dimension
remove size_t usage as label type.
* Correct label type usage in Einsum and LSTM op's
* Correct label type usage in tracker transformation
scatter update and split op tests
* Correct usage label type in type_porp tests
- squeeze
- tile
- transpose
- variadic split
* Correct usage label type in type_porp tests
- squeeze
- transpose
- unsqeeze
- variadic split
* Remove excess Azure Pipelines steps
* Installed unzip inside Azure pipelibes
* Added --no-install-recommends
* Move ccache to build tools
* Added libffi-dev for python _stypes
* Exit if debian packages cannot be installed
* Added comment
* Install wget for cmake downloading
* Update Azure
* Try to fix samples tests on Debian Linux
* Fixes
* Moved env
* More refactoring
* Fixes
* Revert: bash => script back
* Fixed arm64 linux
* Fixed CUDA
* Fixed mac
* Try to fix
* Try to fix cuda
* Fixed CUDA
* Fixes
* Optimize Mac build
* Fixed windows
* Try to fix debian
* Build CC COLLECT
* Use ninja for CC
* Try to fix WinCC
* Apply suggestions from code review
* Fixed sample spath
* Update .ci/azure/windows_conditional_compilation.yml
* Apply suggestions from code review
* Fixed CC ON compilation with ninja
* Improvements
* Print CC header content
* Try to fix Ninja build for Win CC
* Added explicit dependency between targets
* Reverted changes in Windows CC Azure config
* Update cmake/developer_package/compile_flags/os_flags.cmake
* Support oneDNN3.0 API
* Use binary_mul post_opt instead of oscale channel-wise mask(2)
* Disable some post-opt fusing because of no eltwise scale API
eltw(non_linear)+eltw(linear), eltw+sum+eltw(linear)
* Fix hardwish issue in 3.0
hard coded hardswish parameter(2.7) is changed alpha and beta from user's required input.
Signed-off-by: hyunback <hyunback.kim@intel.com>
* keras to tflite version of tests
* Update tests/layer_tests/common/tf2_layer_test_class.py
Co-authored-by: Evgenya Stepyreva <eva.my.link@gmail.com>
* moved out tf utility functions from modules with tf_layer_test classes to tf_utils module
* moved out tf utility functions from modules with tf_layer_test classes to tf_utils module and tflite_utils modules
Co-authored-by: Evgenya Stepyreva <eva.my.link@gmail.com>
* Add common test api to generate unique test file names
* Use unique file names in ir frontend tests
* Use unique file names in plugin tests
* Fix code style
* fix1
* fix2
* Add unique file names for other tests
* Fix code style 2
* fix3
* AUTO CTPUT single device always goes single device logic
* CreateInferRequest goes single device logic when perf hint is ctput
* Optimize single device logic according to bell opinion
* Add code comments
* merge two isCumulative conditions
* add ctput test case
* Remove the redundant header file of auto_ctput_test.cpp
* Modify the test case according to bell comments
* removed deprecated cli arguments from MO
* removed deprecated options from docs
* Update tools/legacy/benchmark_app/README.md
* removed ConcatOptimization.py, removed deprecated args from unit-tests, renamed tensorflow_use_custom_operations_config -> transformations_config; replaced using or cmd_params.data_type -> cmd_params.compress_to_fp16
* added comment why we set internal 'data_type' always to 'FP32' after introducing 'compress_to_fp16'
* removed openvino_docs_MO_DG_prepare_model_Model_Optimization_Techniques from MO_DevGuide
* returned back --data_type argument
* leftovers from recovering
* returned back to package_BOM.txt; fixed NHWC by default for TF
* recovered --disable_nhwc_to_nchw to MO args
* reverted removing --tensorflow_use_custom_operations_config
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Create README.md for AUTO plugin
* link to contribuation guidance
* Update README.md according to developer documentation guidance
* Update for comments
* Update components for review comments
* Update folder for review comments
* update for wording
* update for comments
* Align `RegisterPluginsInRegistry()` with `RegisterPluginByName()`
* Add gmock dependency to commonTestUtils
If use macros like OV_EXPECT_THROW, it requires target to be linked
with `gmock`. So add the dependency directly to commonTestUtils
* Add `ThrowOnRegisterPlugin(s)Twice` tests
* ClangFormat
* Added NETWORK_NAME, SUPPORTED_CONFIG_KEYS and SUPPORTED_METRICS metrics to GNAExecutableNetwork
* Added unit tests for GNAExecutableNetwork metrics
* Moved model name from GNAExecutableNetwork to GNAPlugin
* move cpp_interfaces tests from ieUnitTests to ov_inference_unit_tests
* Fix code style
* Remove ieFuncTests and ieUnitTests
* Remove ieTests from Azure CI
* [TF FE] Support While and Stateless While operations
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Reimplement setting outputs
* Apply code-review: while input number and copy-rights
* Apply code review feedback: correct template and fix typo
* Apply code-review feedback: more strict checks in reorder_ops_by_names
* Specify type for the generated test data
* Minor change to re-run CI
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
