* Shared preprocessing tests for plugins.
Comparing inference with reference implementation
* Moved evaluate tests to template plugin
* Fixed clang-style
* CPU tests: Set IE precision manually in SetUp. Also allow rounding to integer mismatch
* Added acceptable threshold depending on particular test
* Revert "Combine all PDPD model generation scripts into one python command (#7349)"
This reverts commit 1eca8a6e49.
* Added jobs pool for PDPD model conversion
* Use jobs pool for PDPD model conversion as well
* Implemented get_consuming_ports, get_producing_operation and is_equal for PlaceOpONNX
* fixed unambiguous_node_check
* removed PlaceTensorONNX::get_input_port
* added PlaceOpONNX::is_input, PlaceOpONNX::is_output
* fixed python styles
* added get_consuming_operations implementation
* added missing get_consuming_operations for PlaceOpONNX
* added missing get_target_tensor for PlaceOpONNX
* changed place spec
* add support of get_source_tensor
* add support of get_producing_operation for PlaceOpONNX
* add support of get_producing_port for PlaceInputEdgeONNX
* fixed python styles
* missing ref in std::transform
* Fix leftovers for ov::Layout
Added runtime info to Tensor
Add get_layout/set_layout/has_layout methods for parameter
Moved preprocess steps code to separate CPP file for readability purposes
Test code coverage = 100%
* Fixed review comments
* Try fix windows build
* Fix 1:
Correction: Dynamic channels dimension is ok on preprocessing
[?,?,?,?], Layout "NCHW" => scale({2.0, 3.0, 4.0}) is ok.
If HostTensor's channels dimension mismatches - it will fail on 'evaluate' stage (as usual)
Fix 2:
Verify that TensorInfo().set_layout(...) reuses element type from original parameter
* Removed 'using RTMap'
* Add set_argument/s methods to nGraph Python API
* Apply formatting
* Clear inputs in Node::set_arguments
* Run all tests in one container
* Fix formatting
* Add unit test
* init Slice ng op
* Init Slice op tests
* Add visitors test
* Output shape inference
* Add default axes calculation
* Add static output shape tests
* Remove default axes input injection
* Update default axes calculation
* Dynamic data rank case
* Update unordered axes case
* Add support for out dim bounds for unknown input values
* Add more tests
* Update headers and namespace
* Add step value check
* Full dynamic shapes support
* Fix type in attribute tests
* More typeprop tests
* Move Slice-8 to openvino api
* More validation cases
* Update opset8 operations count test
* Draft
* More tests
* to_string + advanced_syntax + more tests
* Coding style
* Add mean/scale - vector version with layout support
Vector version requires layout to be set
* Added comments to LayoutRank
* Removed unnecessary public API
- Removed setters
- Removed LayoutRank from public classes
* Review comments:
- Rename 'layouts' namespace to 'layout'
- 'get_index_by_name' - specify throw exception type
* [Frontend][Paddle]Handle Exception in Op Conversion.
* [Frontend][Paddle]revise comments
* [Frontend][Paddle]add tests for error handling
* [Frontend]fix typo
* [Frontend][Paddle]relax model version check to 2.0.0
* [Frontend][Paddle]fix typo
* Add visitor api test
* Review ngraph op shell with type_prop tests
* Add op to list of trusted operations
* Change name of struct with information of inputs
* Add include of array data structure to fix windowds compilation error
* Add template plugin test class
* Remove usage of CoordinateTransform index function call from reference implementation
* Rename SLT test suite
* Add template plugin unit test
* Add serialization SLTs
* Add indentation on GatherTreeParams class data members
* Preprocessing API - base classes
Includes API definition for trivial mean/scale operations (which don't require layout)
Mean/scale with 'layout' support will be done under separate task together
with Layout
Current test code coverage: 100%
* Rename 'pre_post_process' folder to 'preprocess', aligned with namespace
Fix 32-bit tests
* More cleanup
* Review comments
* Hiding the problem, Validate() changes 'function'
* Template plugin tests
* Undo the changes that are not necessary
* Align code style
* Added \n at end of file
* Removing an unused implementation
* New version with Code Style checking
* Cleaning backend tests
* Reworked the tests the right way
* Removed visit_attributes()
* Removed visit_attributes() in source file
* Added NGRAPH_CHECK macros to evaluate()
* Removed zero_sized_not_equal mention from unit_test.manifest
* Added function name to the constants.py
* Revert "Added function name to the constants.py"
This reverts commit 5b7478056f.
* Return visit_attributes() for op::v1::NotEqual due to NotEqual being moved to another location
* Refactor visitor test of reduce operations to include operation name
* Add template plugin tests for reduction operations
* Remove backent unit tests of reduction operations
* Use Tensor utility to instantiate tests
* Use std::for_each instead of raw for loop to produce test case instances
* Cover remaining backend tests in manifest by SLTs cases
* Fix regex to skip cpu test failing in centos build with precision u64
* Added nGraph as a public dependency
* Fixed Windows warning
* Fixed CMake
* Fixed constant op
* Fixed typo
* Added reshape to PartialShape to CNNNetwork
* Added SetShape to InferRequest
* Enable support of DynamicShape in IE Data
* Add support of dynamic shapes to template plugin
* Fixed build
* Enable support dynamic rank
* Fixed test for dynamic rank
* Fixed some tests
* Fix preprocess tests
* Fixed SetBlob
* Fixed code style
* Add more tests
* Fixed accuracy tests
* Fixed documentation
* Added tests for custom operation
* Added new tests
* WIP: move setShape from infer request to Blob
* Returned isApplicable check back
* Removed obsolete tests for InferRequest::SetShape and add new test for Blob::setShape (a trivial one)
* Fixed artifacts
* Break code style
* Revert "Break code style"
This reverts commit 71ee638cd0.
* Added -j8 for fix_all
* Applied code style fixes
* Adde doxygen items
* Fixed style
* Applied codestyle patch
* Reverted unrelevant commit with template extension
* Fixed cmake file for shared func tests (pick from master)
* Revert all changes in template_extension
* Deleted some old stuff that commented and won't be used
* Fixed wrong exception throwing
* Code style fix
* Fixed preprocessing part
* Fixed incorrect blob reshape in GetBlob
* Deleted incorrect assert in GAPI that prevents passing some tests in Debug
* Fixed issues identified during review
* Removed SetShape, replace getLayoutByDims by getLayoutByRank and removed problematic modification from IE preprocessing
* Fixed comments
* Removed obsolete setShape
* [VPU] Fixed allocating dynamic blobs in myriad_infer_request
* Fixed comments
* Fixed CNNNgraphImpl and comments
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
Co-authored-by: Polina <polina.brzezinskaya@intel.com>
* Deprecate stopwatch
* Deprecate some utils
* Deprecate versions
* Moved slice_plan from the top level
* Fixed build
* Deprecate more old structures
* Fixed linux build
* Use ngraph rtti macros
* Add visitor test
* Add SSLT
* Add hardcoded refs tests for ScatterElementsUpdate
* Add ScatterElementsUpdate to trusted ops list
* Add i16 case to backend tests
* Add typed testcase generation, check for all supported types
* Remove redundant parameters from generateScatterParams
* update spec
* remove backend tests and create op_reference test
* add logicalNot to constants
* add NGRAPH CHECK for number of inputs and outputs
* create type_prop tests
* create visitor test
* add type_op and visitor tests to CMakeLists
* remove backend test from CMakeList
* update T to T_BOOL
* update outputs part in spec
* fix type in the spec
* fixed conflicts in CMakeList
* update ReferenceLogicalLayerTest to also work with unary logical operator
* update logical_not op_reference test to use ReferenceLogicalLayerTest
* fix style
* fix style
* resolve conflict
* resolve conflict
* remove typo
* fix style
* Update ReferenceLogicalLayerTest class tto take input as a vector
* Create makeLogical function that takes ParameterVector as parameter
* update op_reference logical tests to take input as a vector
* Replace elem_type with input.type
* update getTestCaseName method
