* Execute MO stages inside subprocess to have single IE check
* Add --transform key
* Updated ofline transformations to execute user specified passes; updated logic to raise when --transform is used
* Parametrize LowLatency transformation with num_iterations key
* Fixed MO and IE versions comparision
* Use subprocess for offline transformations execution to catch errors
* remove ie_is_available from IR; fixed typo
* Fix for old IE versions
* Update parse_transform key unit tests
* Show available transformations
* Fixed typo
* Fix review comments
* Fix python2 compatibility
* Fixed review comments
* Fixed __main__ import
Some C++ Standard Library headers have been changed in gcc 11 to no
longer include other headers that they do need to depend on.
Include exception explicitly to avoid:
| inference-engine/src/plugin_api/ie_system_conf.h:21:31: error: 'exception_ptr' in namespace 'std' does not name a type; did you mean 'exception'?
| 21 | INFERENCE_ENGINE_API_CPP(std::exception_ptr&) CurrentException();
| | ^~~~~~~~~~~~~
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
* Fix python_tools benchmark installation location
Before this fix, when running "make install", the benchmark python files
would be installed under <python_dest_dir>/openvino/tools, instead of
<python_dest_dir>/openvino/tools/benchmark. This commit fixes this.
* Alternative implementation
* Add Serialization SLT for Convert op.
* Add comment with explanaition to convert ref impl.
* Refactored backend tests for Convert operation.
* Give better names to backend tests.
* Add more backend unit tests.
* Fixed tests related to u1/u4/i4 types.
* Refactor backend tests
* Rewrite reference implementation
* Align ref impl signature with order of inputs in v5
* Remove legacy code for training and backprop
* BarchNorminference operation class review
* Use reference to const in helpers to validate input shapes
* Refactor type_prop tests to cover v0 and v5
* Add type_prop tests
* epsilon attribute test with invalid value
* invalid integer input types
* Add serialization single layer test
* Add attribute visitor test
* Fix arm plugin test failure with dynamic element type
* Remove CoordinateTransform index call
* Add attribute count to visitor test
* nG Python api for Gather and IE IR reader tests
* also included old IE IR reader test for Gather1
* added a blank line before Gather
* style corrections
* applied review comments
* removed blank line
* removed xfailed for Gather7 with batch_dims since CPU was moved to nGraph (...allows to fallback node execution on ngraph evaluate() method in case if optimized implementation is absent)
* added new visitor tests
* [CPU] Do not set BF16 on input port for Eltwise after Input
Since Eltwise supports conversion to BF16
Thus unnecessary Reorder is avoided
* Create a separate function for enforcing BF16 on ports
* Add test to verify that no extra Reorder is inserted
Also:
- update legacy test
- remove extra code which is not applicable anymore
* Correct expected precision in legacy test
* Enhance dynamic shape inference of validate and infer types method
* Review op class of DeformableConvolution
* Add node validation checks into validate and infer types specific to element type and shape of inputs
* Refactor validate and infer types method to use common function to validate conv parameters and infer output shape
* Apply these changes to Convolution and BinaryConvolution for alignment
* Add type_prop unit tests
* Add node validation checks for deformable values spatial dimensions
* Fix type_prop and python api shapes
* Fix deformable values spatial dimensions
* Add validation checks in reference implementation
* Address review comments
* Remove reference to const for basic types in ref impl
* Update comment with ticket to add check for u1
* Change deformable values to offset to align with spec
* Add ngraph visitor tests for reduction operations
* Add check for number of expected attributes
* Add ReduceL1 and ReduceL2 to visitor test typed case of reduce ops
* Instantiate reduce operation type in separate file
* initial solution
* added unit-tests + some corrections
* axis getting improvements
* fixed MO IR reader for old IR's
* a couple of corrections
* applied review comments
* corrected negative batch_dims normalization for shape calculation, for IR original negative values are kept
* added additional checks and negative tests
* Extend MO for operation Einsum-7
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add extractor for einsum and optimize code based on review feedback
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix the code based on the review: correct code, tests and comments; move insert_transpose
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix LayoutChangeForEinsum transformation condition
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Update third-party dependencies
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fixed attributes saving to keep tensor debug info in Parameter node.
* Added comment and unit tests.
* Small correction.
* Small correction of unit test.
* Comment corrected.
* BatchNormInference specification refactoring
* Address review comments
* Remove he term Transform from definition
* Add title of the paper where this operation is introduced
* Add missing backticks
* Remove redundant information in attribute epsilon range of values
* Refinement of spec
Remove more mentions to transformation to avoid confusion
* Corrected typos and added changes to improve readability
* Use third person to express operation steps
* New flags for GNA trget
* Add new flags to configuration
* Update utest
* Update speech_Sample
* Add unit tests
* Guard for wrong values
* Use gna execution target as consistent device
* Apply review
