* 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>
* [TF FE] Support Wide&Deep family models by TensorFlow FrontEnd
It adds support for operations SparseToDense, transfomations for SparseReshape and
fusing transformation for EmbeddingSegmentSum operation
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code style for sparse_fill_empty_rows
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Complete transformation for embedding_segments_feature_fusing
* Fix signatures of constructors of internal ops: SparseFillEmptyRows, etc.
* Add override for validate_and_infer_types methods of the internal ops
* Remove unused variable in Unique
* Revert incorrect changes for default type in case graph cutting
* Make InternalOperation class and apply code feedback
* Revert changes for pipeline.py
* Remove apply_middle_transformation from frontend.hpp
* Recover apply_additional_conversion_rules
* Eliminate a number of constructors for internal operations
* Improve code readibility for embedding_segments_feature_fusing transformation
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix build issue: returning reference to temporary
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Add access to the hidden Node::evaluate method in each Ops
* Fix the test
* Add new line in EOF
* Add comment about using ov::op::Op
* Use opset9
* Add more detailed comment
* Added support of pugixml search via pkg-config
* Updated old InferencEngineDEveloperPackage.cmake.in
* Removed debug print
* Fixed cmake stage for U18
* Added WA for pugixml on U18 for DevPackage as well
* Disable pkg-config generation for OpenVINO for U18
* Added option for pkg-config
* Now triplet is aut-detected
* Fixed U18 case
* Fix the new infer request to set output memory normally during enqueue stage
* Fix to use the generated outputsMap instead of graph API to retrieve outputID
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Add CC support for tbbbind
* Use throw to replace return
* Tbbbinder will be optimized out for non-NUMA
1. With NUMA we may expect that some TBBBind API is optimized out, but some of the API is definitely here
2. The same for HYBRID cores on Alder lake
3. For no NUMA nor HYBRID I expect no TBBBind API is used
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
