* Corrected tests to match CVS-53713
* Fixed tests configs
* Skip tests on GPU
* Commented condition inside main SetBlob because of MYRIAD
* Adopted tests
* Fixed preprocessing for template plugin
* Added more tests instances
* Split common transformation to smaller ones which can be used by plugins
* Moved preprocessing transformation to Plugin API
* Added PreprocessConversionTest tests
* Disabled tests on GPU: CVS-51764
* Disabled some tests on VPU and TEMPLATE
* Support for input layout conversions in TEMPLATE plugin
* Improvements in Template Plugin
* Fixed compilation
* Fixes
* Disables some tests
* Fixed compilation on Windows
* Fixed docs
* Added PreprocessConversionTest tests
* Disabled tests on GPU: CVS-51764
* Disabled some tests on VPU and TEMPLATE
* Support for input layout conversions in TEMPLATE plugin
* [Plugins test] Add functional test for correct import/export support by plugins
Test suite creates number of models with various precisions.
For each model:
- If plugin doesn't support IMPORT_EXPORT_SUPPORT metric - skip the test
- Try LoadNetwork without cache enabled fails - skip the test
- Do one inference
If Load and Infer request is succeeded and plugin has import metric:
- Load network with cache enabled. Infer request and compare outputs with original infer
- Import network, perform inference. Compare outputs with previous ones
* Fix Centos build warnings
Myriad: reset executableNetwork before next load
Myriad: Reduced time consumption for Myriad tests
* Caching test suite - batch size parameter support
* Fixed tests compilation for Android ARM
* Small fixes
* Fixed issues CVS-44775, CVS-34206, CVS-34349
* Disabled KSO tests for Template
* Eliminated invalid subgraphs
* Enabled KSO QueryNetwork tests for Template
* Fixed other plugins as well
* Used NodeTypeInfo instead of std::string
Co-authored-by: apankratovantonp <anton.pankratov@intel.com>
desired format
changed InferRequestInternal:
- added _deviceInputs member to store plugin desired perprocessing
targets
- added default argument to preProcessingRequired to describe plugin
specific desired preprocessing target
- SetBlob and GetBlob to deal with plugin desired preprocessing targets
(_deviceInputs)
- added addInputPreProcessingFor helper method to avoid code
duplication
changed TEMPLATE plugin to use new functionality:
- removed explicit presicion conversion (to use built-in one of
InferRequestInternal)
- _networkInputBlobs to use InferRequestInternal::_deviceInputs
`GetBlob()` as well
- test were extended to cover case when input tensors are copied into
Blob return by `InferRequest::GetBlob`
- channel number of input tensor is made a test parameter
* Specify in and out precisions separately, add layouts for convolution
* Align convolution layer tests instantiations with updated definition
* Align convolution layer tests instantiations with updated definition for template plugin
* net, in, out prcs
Co-authored-by: Mikhail Treskin <mikhail.treskin@intel.com>
some plugins
- added shared parameterized tests
- instantiated for template plugin
- instantiated for cpu plugin
- fixed CPU plugin to properly handle U16 input
- fixed CPU reverse_sequence primitive to alolw input/oputput tensors to
be in FP32 only
- updated ngraph test_simple_computation_on_ndarrays to not expect
failure on U16 input
Patryk Elszkowski