* Added BenchmarkLayerTest class for simplifing of benchmarking
* Added example of using BenchmarkLayerTest for GenerateProposals operator
* Added report to file and also updated validate methods
* Switch from using json to xml for BenchmarkLayerTestReporter
* Remove smoke prefix from BenchmarkLayerTest usage example
Co-authored-by: Oleh Kurachenko <oleh.kurachenko@capgemini.com>
Co-authored-by: Irina Efode <irina.efode@intel.com>
* Tests with boolean type for ConvertBroadcast3 transformation
* Extend support of bool input in ConvertBroadcast3 transformation
* New tests redundant ngraph namespace cleanup
* Added checking if imported model version is <= 2.7. Only in such case
custom scale factor will be applied, otherwise there will be only logged
warning message
* Added unit tests for validation of scale factor
* Add more tests for Unique op reference impl
* Use stable sort to preserve elements order
* Update tensor comparator and unify approach for sorted
* Slices comparator revert and test
* Fix slices_ascending_order comparator
* [TF FE] Optimize FusedBatchNorm translator - avoid Transposes
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix FusedBatchNorm: correct compute for batch_mean and batch_variance
* Add layer tests and fix based on them
* Mark failing test cases and bind to issue tickets
* Work around tests for FusedBatchNorm in inference mode
* Use separate fictitious constants for reserved outputs
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [GNA] added dims size validation to avoid segfault in orientation helper
* [GNA] fixed matmul transformation test to not access data from empty container
* [OV] fixed padd Tile to TileIE and added assertion to ngraph to CNN conversion.
* [CONFROMANCE] Fix OV Path in new conformance runner
* filelist
* dd
* try
* one
* Update run_conformance.py
* sss
* revert extra
* f
* Update run_conformance.py
ConvolutionBackpropData weights have following shape {input channels, output_channels, ...},
so unlike forward convolution, the output channels are on the second dimension.
* kernel_impl_params should be serialized before primitive_impl
* reduced the range of min max values for this test case
* updated to use default get_mem when min max are not specified
* Update.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* 1. Remove part of AUTO/MULTI test case since they has been coverred in another PR[13738].
2. Move the rest part of AUTO/MULTI test cases into CPU function test suit.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* moved serialization include path
* quiet onednn-gpu patching
* save and load kernels in _impls
* changed to use OPENVINO_ASSERT
* fix errata
* updated to follow OpenVINO naming convention
* updated error messages
* binary buffer by vector<uint8_t>
* partial_shape serialization
* removed object_type
* added a new storage class for primitive_type_string and id
* updated to throw an exception when _node is null in build_deps().
* removed redundant memory_pool clearing
* added a new net_id creator
* newline at eof
* updated CLDNN with GPU
* added cache blob descriptions
* updated output allocation logic in serialization
* added ov::device::architecture in supported properties
* overrided save and load in data_inst and mutable_data_inst
* removed save and load functions in mutable_data
* baseline for serialization unit tests
* added serialization unit tests
* added serialization unit tests
* updated not to execute build_deps when deserialized
* make_data without namespace
* updated to use default layout c-tor
* updated get_unique_net_id()
* updated get_type_id() to a pure virtual method
* updated ov::caching_properties
* added [GPU] tags
* updated network c-tor
* updated unit tests
