* Enabled PDPD, TF on Windows
* Try to build samples against static libs
* Fixes
* Fixes
* fix
* Used ENABLE_GAPI_PREPROCESSING in C API tests
* Revert "Used ENABLE_GAPI_PREPROCESSING in C API tests"
This reverts commit df9d53e3cc.
* Fixes
* Revert exclude
* Enabled proper OpenVINOConfig.cmake generation
* Try
* Try
* [Python API] add_outputs api
* add tests and missed api for tests
* fix codestyle
* add documentation
* fix code style
* fix building
* add tensorDescriptor tests
* add get_any_name and more checks
* descriptor tensor name
* stick to default memory if userrequest exceed the optimal number
Signed-off-by: fishbell <bell.song@intel.com>
* formatting
Signed-off-by: fishbell <bell.song@intel.com>
* Separated old_api_map into old_api_map_order and old_api_element_type.
* Clang format, small fix.
* Corrected comment.
* Removed OldApiMapOrderAttr class.
* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Updated the link to software license agreements
* Revert "Updated the link to software license agreements"
This reverts commit 706dac500e.
* Fixed diagram
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Dynamic conv first commit
* Fixes after rebase
* Refactoring:
1. Conv node code refactor
2. DW conv fusing is disabled for dynamic case
3. Weights static shape constraint was added
* Minor fix for 1st rank bias
* WA fix
* MKLDNN dynamic conv fixes
* Temporal WA on format serialization
* Convolution SL prepared for dynamism
* Fix for bias fusing
* Update for nspc heuristics
* Convolution SL tests are updated with dynamic shapes
* GroupConv SL tests are updated with dynamic shapes
* Wip
* Dynamic shapes post ops support
* Dynamic shapes convolution full SL tests support
* Convolution builder changed to support pShape
* Convolution CPU SL test moved to the new Test Infra
* Skip tests conf update
* Auto padding support in dynamic mode with test
* Convolution dyn tests for bf16
* Group Conv test commented
* Submodule up
* First review fixes
* Group convolution dynamic shapes SL test
* Serialize format method has been fixed
* Floating point numbers resolution changed to even number
* AutoPad flag was added
* Skip test config updated with changed signature
* An attempt to reduce SL test time
* Dilated convolution tests extracted from the precommit
* Fix review comments for Convolutions
* [GPU] Do not add paddings for OneDNN primitives
* Add unit test for correct padding between onednn and cldnn primitives
* Renaming all frontends from "*_ngraph_frontend*" to "_ov_frontend*"
Also Debug builds on Windows release frontends without "d" suffix will not be loaded
* Fix review comments and add wheels test debug prints
* More debug prints
* Load by absolute path and remove debug prints
* Add GatherND_8 operation
* Update shape infer function and tests
* Initial commit for nGraph GatherND_8 operation
* Add GatherNDBase class implementation
* Fix base class errors
* Add missrd header
* Update base class
* Update GatherND_8 implementation
* Fix codestyle
* Fix wrong rank
* Implement tests for gatherND_8 shape inference function
* fix codestyle
* Add limitation to doc
* Siplyfy check in shape inference
* Add more test cases
* Update shape inference function
* Add more test cases to cover all case with dynamic input shapes
* Update shape inference function
* Refactor tests
* Initial commit for gatherND_8 reference implementation
* Add visitor tests for gatherND_8 operation
* Add visitor tests for gatherND_8 operation
* Correct comment
* Add additional check is shape inference function
* Update shape inference implementation for gathernd operartion
* Fix codestyle
* Remove restriction for data is fully defined
* Update shape inference functon
* Add gatherND_8 reference to evaluate map
* Add tests for gathernd_8 reference in batch_dims > 1
* Fix codestyle
* Fix codestyle
* Fix missed check for nonetype
* Remove redundant checks for batch_dims
* Use get_shape method instead of get_input_shape in GatherND reference implementation call
* update reference implementation call
* Properly add GatherND_8 to test opset table
* Update GatherND reference implementation for support opset8 version
* Add unit tests for gatherND_8 reference implementation
* Update gatherND reference implementation call in evaluate map
* Mark failed tests for missed plugin gatherND_8 implementations
* Fix codestyle
* Fix codestyle
* Initial commit for gaherND_8 python api
* Fix codestyle
* Update tests
* Move common methods to base class
* Fix codestyle
* Revert clone_with_new_input function moving
* Add more test for reference
* partially revert API changes
* Fix test
* Fix codeslyle
* [MO, TF] Support Custom Wide and Deep CTR model by MO
It implements implicit support of EmbeddingSegmentsMean operation through decomposition.
Also, this extends the current transformation to fuse TensorFlow sub-graph (for Wide and Deep model family)
containing SparseSegmentSum and SparseSegmentMean operations into EmbeddingSegmentsSum or EmbeddingSegmentsMean.
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix unit-tests after modifications of SparseToDense and EmbeddingSegmentsOperationFusing
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Document SparseSegmentMean support
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add computation scheme for normalization coeffs and correct documentation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
