* [IE TESTS][IE CMAKE] Add cmake option for configuration to skip tests
* [IE TESTS] Remove extra dependency from IE tests shared lib
* Revert to add flag
* QueryState moved to InferRequest
* deprecate ExecutableNetwork::QueryState,chaged tests (without any check yet)
* fix build
* review fixes + build fix
* build fix + review changes
* remove blank line
* style fixes
* test build fixes
* style fix
* style fix
* fixed build of tests
* fix
* mac build fix
* hddl plugin build fix
* clean up unneeded implementation for method
* fixed tests build
* add implementation for getstate, correct getName for MklDNN
* fixed description of state API in comments
* lint fixes
* Rename MemoryState to VariableState
* added tests for cpu for VariableStates, several small fixes in tests and code
* merge fix
* lint fix
* remove whitespaces
* spaces fix
* fix in test to make it workable for all plugins
* fix typo
* fix test for gna
* remove extra comment
* fix test for gna
* Generate unique output file names in CheckExecGraphInfoSerialization testcase.
When multiple instances of this test were executed in parallel the same
file was accessed by multiple threads which was the cause of flakiness.
* Enable ExecGraphTests.CheckExecGraphInfoSerialization on GPU
* [IE] Add batched blob support
New `class BatchedBlob : public CompoundBlob` defined to allow to pass multiple blobs as 1 InferRequest input.
Motivation: There is the special user case when a number of plain images (e.g. `NV12Blob`) should be passed as one input for network which batch size > 1.
`class CompoundBlob` is not applicable for such cases due to:
1. `NV12Blob` is `CompoundBlob` which prevents to combine multiple NV12 images to a CompoundBlob
2. The default behavior in most of plugins - do not accept generic CompoundBlob as `SetBlob()` argument
Adding `SetBlob(name, vector<Blob::Ptr>...)` to `class IInferRequest`, `class InferRequest`, `class IInferRequestInternal`, ... - is not effective solution due to limited and specific use cases for `batched inputs`.
+ Apply rule-of-zero to CompoundBlob and inherited classes.
* Add "BATCHED_BLOB" optimization capability metric
* Add BatchedBlob usage to hello_nv12_input_classification
* Apply offline code review outcome:
1. Revert CompoundBlob public .ctors signatures
2. Remove 'workaround' .ctor for `BatchedBlob`
3. Revert tensor descriptors of `I420Blob` `NV12Blob` back to the 'fake' value.
* Code review fix
* Add functional tests for CPU, GPU, MULTI, HETERO
* update doc comment
* Apply code review change requests.
`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
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
* Implement unicode conversion using Windows native functions
* NOCPPLINT
* Fixed deprecated c++ api usage in tests
* Moved impl to cpp
* Moved Unicode utils to Plugin API
* Added missed include for Windows
* Fixes for unit tests; CentOS fixes
* Fixed Windows compilation
* Fixed unit tests on Unix
* Fixed unix 2
* Network serializer for v7 is removed
* Fixed compilation
* Fixed Windows build
* WA for GPU
* Create function 2 times
* Fixed compilation
* Added return
In some networks, mvTensor would request a large CMX-DMA transfer (<512K). That starves DMA for other timing critical tasks such as SIPP. Limit CMX-DMA request size as an option in myriad_compile:
* Add compile option TILING_CMX_LIMIT_KB
* Declare compile option TILING_CMX_LIMIT_KB in IE tools (compile_tool and vpu_compile)
* Add tests for compile option TILING_CMX_LIMIT_KB. Small fix for naming behavior tests.
* Execution graph via ngraph for CPU plugin
* Fixes
* Migrated to VariantImpl instead of Parameter
* Reverted to dedicated ExecutionNode once again
* Re-use new execution graph in tests
* Fixed one more tests to use execution graph via ngraph::Function
Irina Efode