* Create separated auto_batch plugin testcase
* Add test sample into azure
* Move to auto_plugin directory
* Fix CI build issues
* move batch test cases from gpu/cpu/template plugin to auto batch plugin
* Check OpenCL to decide whether enable auto_batch gpu test cases
* Revert "move batch test cases from gpu/cpu/template plugin to auto batch plugin"
This reverts commit 9f4f2ce1af.
* Add functional tests for auto_batch
* Runtime check gpu available to decide whether run gpu test cases
* Remove HW plugins from functional test
1. Apply Template plugin for auto_batch functional test
2. Remove unnecessary code
* Restore some original tests
* Apply new api property replace old config
* Solve warning suppressions issue
* Fix CI build error
* Solve CI failure issues
* Fix getOutputsFromFunctionWithSeveralOutputs bug
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Co-authored-by: Chen Peter <peter.chen@intel.com>
* [TF FE] Report a reason of no conversion of internal operations
Some operations during translations can be temporarily converted to InternalOperation
such as Const operation of string type for which we need to define more elaborated reason
why it is represented as InternalOperation.
Also, restrict instantiation of InternalOperation because instead user should use FrameworkNode.
InternalOperation is a base class for internal operation types of TF FE that have
extended API compare to FrameWorkNode.
For all internal operation we defined a reason why it is not converted to OpenVINO opset
that will be reported in TF FE if they are not gone finally.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Update src/frontends/tensorflow/tests/convert_unsupported.cpp
* Correct a script for generation of the test model
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* StridedSlice improvements:
-Bound evaluation for begin, end partial values when ignore mask set.
- Custom constant fold implementation.
* Improve const folding when all begin or end values
are ignored
* Use axes param shape to deduce Squeeze output rank
* Improve squeezable dims detection and output shape deduction
* Unskip related tests
* Add more onnx tests
* Skip dynamic model test for legacy api
* Exclude Shape{0} case
* Add more tests
* Adjustment for single element axes
* Move axes param output shape calculation below
* Move back the axes param based calculations
* Adjust onnx python tests
* Consider only single element axes param
* Deduce rank only to enable param value validation
* Prevent negative rank if data input is scalar
* Comment update
* Add missing new line
* Skip dynamic squeeze tests for legacy api
* Add check for zero squeezable dims
* tests update
* Update squeezable dims validation
* Add paddle op mapper silu
* Add more test cases
* Add dynamic shape test for op silu
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Co-authored-by: Xiuchuan Zhai <xiuchuan.zhai@intel.com>
* update op linspace
* rewrite function name
* add paddle grid_sample op mapping
* add op_fuzzy
* adjust op logic
* adjust op name
* format code
* add tests
* adjust test
* adjust test
* adjust test
* adjust test
* format code
---------
Co-authored-by: Xiuchuan Zhai <xiuchuan.zhai@intel.com>
* Tensor accessor for shape inference
- as functor for getting data from tensor vector or map.
- as lambda in GPU plugin on tile op
* Make tensor data adapter pure virtual
- function accessor to data returns pointer to interface
* Refactor tensor data accessor and adapter
* Extract memory adapter make it GPU graph internal
- can't be part of GPU runtime memory core dev API not visible there
* Expand IStaticShapeInfer by port map
- update factory map for new infer interface with port map information
- add bit util to generate bit mask use it in PortMask
* Pass tensor accessor as reference not fun object
- Add cldnn data adapter and accessor
- Reduce dynamic allocations in data accessors
* Fix compilation issues
* Use ov::Tensor for data accessor
- remove data adapters are they not required
* Update comments
* Fix build issues
* Fix tile shape infer test
* Add empty null tensor accessor as specialization
* Apply style formatting
* Move data accessor from dev API to shape inference
* Fix linking issues
