* Building python frontend tests
* Enable mock tests in new python API:
- Fix mock_py frontend library name
- Set same destination for mock_py frontend as others frontends
- Fix importing mock_py frontend
- Minor changes in mock_py tests
* Fix flake8 issue
* Fix linking issue on windows
* Remove DISABLE_PYBIND11 option
* Build mock_py always as shared library
- put mock_py into ov::frontend namespace
- minor re-factor of mock_py
* Add mock c API fix warning on windows
* Fix installation of mock_py frontend
* Install mock_py frontend library in tests
* More detailed error message in python test
when cannot import frontend
* Restore IMPLEMENT_OPENVINO_API for windows build
of pybind_mock_frontend
* Set env paths for python API test on Azure CI
- skip tensorflow conversion ext test when not installed
* Correct skip tensorflow test decorator
* Add C API macro for mock1 frontend
* Ignore E999 error reported by flake8
* Fix conversion extension name for tf imports
* Fix flake8 issues
* Remove python3.8 path from LD_LIBRARY_PATH
on debian CI
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* Initial
* packaging: Fixed syntax
rpm.cmake: downgraded PYOPENVINO version to 3.6 as default
* install_build_dependencies: Added rpm-build
rpm.cmake: Removed SHLIBDEPS settings for RPMs creation. Replaced CPACK_RPM_PACKAGE_HOMEPAGE with CPACK_RPM_PACKAGE_URL. Set CPACK_RPM_PACKAGE_AUTOREQPROV to ON.
* rpm_post_build.cmake: Fixed warning if rpmlint not installed
rpm.cmake: Removed SHLIBDEPS usage.
* rpm.cmake: Updated comments
* Fixed naming
* developer_package/rpm.cmake: Fixed ov_rpm_add_latest_component macro with using lower case for CPACK_COMPONENT_XXX_DEPENDS set.
* DOCS-doc_structure_step_2
- adjustments to the previous change based on feedback
- changes focusing on ModelOptimizer section to mitigate the removal of ONNX and PdPd articles
* remove 2 files we brought back after 22.1
* [ONNX FE Tests] Fix ONNX FE tests on Debian
Fixing error "Cannot load library libtest_builtin_extensions_1.so libopenvino_tensorflow_fe.so"
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Update .ci/azure/linux_debian.yml
* Export TF FE for PDPD tests since it uses TF FE extensions
* Export TF FE for PDPD tests since it uses TF FE extensions
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
Required by external data mechanism in ONNX standard, where Tensor object has
to be able to find external data file based on the location field and model
directory path. Previously, it was done by a transformation, but it handled
initializers only, but in order to handle Constant nodes we need one more
loop, but over all of the model's nodes. Propagating model directory path to
Tensor allows us to reduce that overhead.
Ticket: 91271
* add paddle where_index op
* add more test cases
* add more test cases
* add more test cases and support boolen
* fix clang format
* use paddle.nonzero instead of LayerHelper
* remove opset6
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
Co-authored-by: cecilia peng <cecilia.peng@intel.com>
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
+ Resolved failure of oneDNN reduction which has fused output layout.
+ Removed planar format from oneDNN reduction which selected ref kernel.
+ Modified relevant test-cases
Signed-off-by: Min, Byungil <byungil.min@intel.com>
StridesOptimization propagates strides attributes up the graph.
This attribute is kept in Input<Node> runtime info.
There is a case in CUDA plugin, where StridesOptimization is called
twice and if strides attribute is kept in node's runtime info,
the second run of this transformation tries to propagate strides
once again which can result in shape inference failure.
* [Frontend, TF FE] Fix RTTI for ConversionExtension on MacOS
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Put only destructor into cpp
* Remove extra white-space
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* add paddle op sum
* new version
* add unit test for other precision
* change layer.sum to add_n
* remove redundant code
Co-authored-by: Bo Liu <bo4.liu@intel.com>
Co-authored-by: cecilia peng <cecilia.peng@intel.com>
* Add ov_model_output_by tensor name and index function
* Fix the clang format issue
* clang format
* Add ov_output_node_t in input and shape function
* Add ov_oputput_node_t in model_output function
* Fix clang-format
* change ov_output_node_list_t to ov_output_const_node_list_t
* Add ov_output_node_list_t new struct
* Rename oputput_node to be port
* Rename output_node to be port in CAPI test and samples
* Add ov_model_output/outputs/input/inputs function and testcases
* Rename output_ports to ports
* Chage ov_node_list_get_element_type_by_index to ov_node_list_get_element_type
* Change ov_output_node to ov_output_port
* Delete node list and modify the function that used the node list structure before
* Fix clang-format in ov_infer_request_test.cpp
* change node to port in funcation name
* Rebase new master
* Add new API in compile model and model,such as get input/output size
* Add err info in hello_classification_c
* Fix clang-format in hello_classification_c
* Merge the new infer_request
* Initialize ov_output_const_port
* Change the location of initialization
Co-authored-by: River Li <river.li@intel.com>
* Refactor eye decomposition:
- match style of other transformations
- add NodeRegister class to make and collect created nodes
- use `NodeRegister` in transformation for copy runtime info
- use `NodeRegister` in `MatcherPass` to replace new `register_new_node`
* Fix CI LTO optimization issue for Ubuntu 20
* Move NodeRegister to dev API
To fix LTO issue for eye decomposition
* Change NodeRegister to NodeRegistry
* Move NodeRegistry to openvino/pass
* Remove NodeRegistry from public API
* Only rename cpuUnitTests and cpuFuncTests to ov_cpu_unit_tests and ov_cpu_func_tests
* Change ov_cpu_unit_tests's displayName to readable, from 'CPU UT' to 'Intel CPU Unit Tests'.
Signed-off-by: Yan, Xiping <xiping.yan@intel.com>
Signed-off-by: Yan, Xiping <xiping.yan@intel.com>
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
