* Async auto-request, now with revamped SetCallback (after https://github.com/openvinotoolkit/openvino/pull/5645 merged) it is safe to set.
Also test modification to verify that the callback is called on the same (user's) request and e.g. not on the actual device's request
* Override CreateInferRequestImpl() instead of CreateInferRequest()
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
Co-authored-by: myshevts <maxim.y.shevtsov@intel.com>
* Update SelectDevice policy in auto plugin
Signed-off-by: Zhengtian Xie <zhengtian.xie@intel.com>
* Implement limit device list for AUTO plugin
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Add tests for AUTO limit device feature
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Add gpu tests for auto-plugin
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Fix CI cpuFuncTests issue due to BATCHED_BLOB
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Override LoadNetwork(modelPath, config) in AUTO plugin
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Update SelectDevice() logic for LoadNetwork(model, config)
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Update GetNetworkPrecision logic for auto-plugin
Signed-off-by: Zhengtian Xie <zhengtian.xie@intel.com>
* Address reviewers' comments
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Add tests for AUTO:GPU,CPU case
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Update logic in GetNetworkPrecision for auto-plugin
Signed-off-by: Zhengtian Xie <zhengtian.xie@intel.com>
* Address reviewer's comment: clean and simplify code
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Fix wrong usage of convolution weight index
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Address reviewer comment: fix get network precision logic
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Fix rebase issue
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Fix ie_core.cpp header change
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
Co-authored-by: zhengtian.xie <zhengtian.xie@intel.com>
* [IE TESTS] Fix comparation in LayerTestUtils
* Fixes
* Small fix
* Int4 fixes
* remove extra
* Fix NMS
* Some fixes for tests
* Add small fix
* [IE TESTS] Remove const folding as a result engine
* Remove extra
* Revert remove constant folding (DSR test) & fix some cases for cpu
* Fix GNA
* Minimized legacy usage in tests
* Use legacy only for specific files
* Fixed code style
* Fixed linkage
* Removed old CPU / GPU tests binaries
* Test
* Disabled IB console
* Disabled test for AUTO QueryNetwork from parallel threads
* Implement AUTO plugin
Usage:
1. -d AUTO
2. -d ""
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Add tests for AUTO plugin
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* cleaned impl, that was incorrect from the async perspective, ansl also capturing the blobs in the constructor
* Revert benchmark_app modification
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
* Address reviewer's comments: need CI tests to verify
Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>
Co-authored-by: myshevts <maxim.y.shevtsov@intel.com>
* Reference implementation init
* Backend tests
* Single layer tests
* Update offset range in layer tests
* Align int types with ng op
* Update spatial bins type
* Type update
* Fix sub bin calculation in mkldnn plugin
* Update summarize py file
* Align result type
* Refactoring
* Apply review comments
* Add serialize layar tests
* Adjust int comparison
* Adjust code style
* Use clamp reference
* Unify style
* Additional check for negative output dim
* Set tensor output shape in evaluate
* Add visit attributes test
* Small refactor
* Code style (namespace comments)
* Fix CommonTestsUtils::fill_data_roi usage.
This function was generalized in PR #5432 and its siganutre has changed.
* Update licenese header with mention about original authors.
* Replace MIT SPDX full license name with short identifier.
* Fix sub bin calculation in mkldnn plugin
Co-authored-by: jdanieck <jozef.daniecki@intel.com>
* 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
* Small refactoring in TEMPLATE plugin
* Fixed compilation on Windows
* Fixed code style
* Hide CALL_STATUS_FNC helpers to private API
* Moved some base classes to private place from plugin_api
* Updates for VariableState creation
* Take Jane's changes for Demension names
* Revert "Take Jane's changes for Demension names"
This reverts commit 9f6c8fa5a6.
* Removed ICNNNetwork include
* removed more icnnnetwork includes
* Added missed include with ie_input_info.hpp
* Fixed GNA plugin to provide names w/o \0
* Removed suppressions for IInferRequest deprecation
* Fixed Windows
* More fixes for Windows
* Fixed compilation on Windows
* Fixed comment in documentatipn
* Fixes for Andorid
* Fixes for old gcc 4.8
* WA for cross-compilations
* Fixed compilation
* Fixed HETERO plugin compilation for old compilers
* Flags
Co-authored-by: lab_ddpqa <lab_ddpqa@intel.com>
* [GNA] Add basic low precision support for more layer types, add simple test
* [GNA] Fix test
* [GNA] Make divisor const, add more clarity to some conditions
* Add deformable_convolution unit tests
* add 2D unit test
* Add unit-tests for 3D deformable_convolution
* create shared test class for deformable_convolution
* create single layer test for cpu plugin
* create single layer test for serialization
* add deformable_convolution to opset1
* create empty evaluate method
* add group and deformable_group to parameters
* Create impl for generateInput method
* add deformable_val to deformable_conv paramset
* create additional unit-tests
* Remove 3D single layer tests
* Update GenerateInput and SetUp method
* Update parameters values for SLT
* Update GenerateInput method and create Validate method
* Create additional parameters set for cpu plugin SLT
* Create unit-test with padding and add it to disabled
* add interpreter unit tests to manifest
* style-apply
* create file for reference impl
* Update year of copyright and make Validate an override method
* Update parameters names for serialization single layer tests
* Update parameters names for functional single layer tests
* add failing unit tests for interpreter to manifest
* make tests parameters more readable
* style-apply
* Include deformable_convolution inside evaluates_map
* add support for groups parameter for reference impl
* style-apply
* remove DeformableConvolutionParams struct
* fix bug with filter
* fix bug with offset type
* Update interpreter manifest
* impl evalute method
* style-apply
* Update year
* Update test names
* add utils func for deformable convolution operation
* fix filter group count
* add calculation of index of offset
* Update offsets in unit test
* add support for multiple input channels
* add padding tests
* add padding support
* style apply
* update copyright year
* create validation check helper
* Update convolve function name
* update copyright year
* style-apply
* remove integer type from serialize layer tests
* add tests for deformable_groups
* fix bug with group > 1
* style-apply
* add group unit test
* create additional group tests
* fix bug with groups attribute
* Enhance dynamic shape inference of validate and infer types method
* Add type_prop unit tests
* Fix broken op create test in python api
* fix bug with shapes in group tests
* update deformable_convolution method
* add unit test with 2 groups and 2 defromable groups
* Fix code style.
* Update UT manifests with current test status.
* Refactored backend test: names, removed duplication, add TOODs
* Add missing test cases in 'integral offsets' group.
* Fixed group attribute.
* Update interprer manifest to disable tests with integer offsets.
* Fix style.
* Remove changes in operator class.
* Revert "Enhance dynamic shape inference of validate and infer types method"
This reverts commit 2f9ce2ccd4.
* Revert "Add type_prop unit tests"
This reverts commit 944af98b8c.
* Revert "Fix broken op create test in python api"
This reverts commit 72fbfc2967.
* Fix op class.
* Convert implementation to 2D.
* Simplify implementation.
* Fix centos build.
* Reimplemented offsets handling.
* Fixed integral offsets test cases.
* Fixed deformable group attribute.
* Add bilinear interpolation.
* Refactoring regarding tolerance_bits.
* Fix groups & def_groups test case.
* Add more unit tests for group & defgroup attribute.
* Remove debug code.
* Minor refactoring.
* Add integer types to SLT.
* Revert "Add integer types to SLT."
This reverts commit 2fefe8926d.
* Add tests with real number offsets.
* Refactored bilinear_interpolation().
* Turned on SLT.
Additionally refactored and offset input set to range <0,2>.
* Update headers with short version.
* Fix SLT offests generation with int offsets.
* Add integer types to SLT.
* Fix grup + def_group test case.
* Add ticket to address IE_CPU backend test failures
* Enable real resolution for deformable values
* Add op to list of trusted operations in python script
* Fix comparison of integer expressions of different signedness compilation error
* Add comment with closing namespace and empty lines
Co-authored-by: pszmel <piotr.szmelczynski@intel.com>
Co-authored-by: ggalieroc <gabriele.galiero.casay@intel.com>
* [IE][VPU] Fix batch detection/removal logic in MYX plugin
* Some changes & test
* The condition for skipping the CachingSupportCase MyX test has been removed
* Operation class review
* Remove clamp from FusedOp
* Add node validation checks
* Add type_prop unit tests
* Move backend unit tests into a separate file
* Remove unnecessary includes
* Add support for i8, i16, u8, u16 and bf16 precisions
* Refactor backend unit tests
* Remove instance with f64 precision
* Move dynamic shape tests to op_eval
* Group failing tests into manifest
* Add single layer tests and serialization tests
* Skip tests with conversion due to plugin misbehavior
* Add unit tests fails to manifest with documented issues
* Fix centos7 test to skip slt cpu instances of integer precision
* Enable dynamic test for float element type
* Address review comments
* Added PreprocessConversionTest tests
* Disabled tests on GPU: CVS-51764
* Disabled some tests on VPU and TEMPLATE
* Support for input layout conversions in TEMPLATE plugin
* [IE TESTS] Lock report file (between processes and threads)
* Fix condition
* t
* Fix CI
* Fix ci
* win
* Fix win
* Fix reading logic
* Fix rights
* d
* Fixes
* d
* ddd
* s
* dd
* Allow to write reports by unique name
* tp
* fix ci
* remove extra lines
* Move Mul node before Reshape in GroupConvolutionMultiplyFusion
In following scenario:
+-----------+
| weights |
+-----------+
|
v
+-----------+
| Reshape |
.... +-----------+
\ /
\ /
v v
+--------------------+
| GroupConvolution |
+--------------------+
|
v
+-----------+ +----------+
| Multiply | <--- | Constant |
+-----------+ +----------+
if a second input (weights) to GroupConvolution is a Reshape,
we should apply Multiply node directly to weights rather than Reshape node:
+-----------+
| weights |
+-----------+
|
v
+-----------+ +----------+
| Multiply | <--- | Constant |
+-----------+ +----------+
|
v
+-----------+
| Reshape |
.... +-----------+
\ /
\ /
v v
+--------------------+
| GroupConvolution |
+--------------------+
|
v
That approach has no side effects in the usual scenario when weights are constant,
but it's necessary for models with FakeQuantize since it gives possibility to perform
GroupConvolutionTransformation from LPT transformations.
* remove unnecessary new lines
* simplify code
* check if input to reshape has shape that starts with G * O
* add pattern::has_static_dims({0, 1}) to weights
* Use K = 3 in WeightsWithFakeQuantizeAndReshape tests
* Add LPT tests for groupconvolution_qdq_transformation
* fix PullReshapeThroughDequantizationTransformation tests
* Small shape propagation & evaluators update
* minor style changes
* Selu operation shape inference
* Experimental tests for activation operations in the IE test infreastructure
* minor style fixes
* prelu fix
* [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
* Fix issue with GNA Import/Export.
Application may create ostream and write some app-specific header to beginning of stream.
GNA plug-in shall not 'seekg' to beginning of stream where app-specific content is located.
Instead it shall seek to the original position of stream
Functional test is also updated to cover this case
* Updated according to review comments
- Check return code right after 'istream::tellg'
- Added 'applicationHeader' as parameter to base ImportExport tests
* Error check for startPos + unit test
* Suppress deprecated warnings like in other GNA tests
* Initial Subgraphs Dumper and IR runner test inplementation
* Implement matchers configuration
* Refactor MatcherConfig
* Add OP cloners factory
* Remove IR runner test (to be added in separate PR)
* Use different nodes comparison method
* Remove extra include of <any> which fails build with old glibc
* Add README.md
Co-authored-by: Mikhail Treskin <mikhail.treskin@intel.com>
* Add BinaryConvolution unit tests.
* Changed types to u1.
* Add BIN precision handling in TestCase class.
* Refactored validate and infer types to enhance dynamic shape inference
* Add type_prop test to cover invalid op cases and dynamic shapes
* Fix style
* Disable check for float type of data batch input
* Add type_prop test for incompatible input channels in inputs
* Disable backend unit tests
* Fix style
* Add reference implementation
* Add backend tests
* Add single layer tests
* Add check for float element type of batch data input
* Refactor backend test cases to compare with regular convolution
* Add serialization tests
* Clean up
* Add 1D and 3D tests into op_eval
* Changes in reference implementation to improve readability
* Add ticket information for todo tasks
* Fix implementation misbehavior for filter channels
* Add backend unit tests to cover strides, dilations, padding, channels and batches
* Add end of line into files
* Change name of type_prop unit tests
* Simplified lambda to get spatial dimensions of filters
* Add comment to support filters input as Parameter
* Add namespace details for BinaryConvolution utility functions
* Address review comments
Co-authored-by: jdanieck <jozef.daniecki@intel.com>
* fixed: StrideSlice/Crop was broken when crop axis != dim.size() - 1 & added support for tensor dim > 2
fixed: clamp had hard coded upper & lower boundary to -50/50
fixed: InsertIdentityLayerPass was adding not necessary identities that was leading to exception when 2 identities was added to convolution output
fixed: SubstituteScaleShiftBroadCastPass caused invalid input tensor dimension overwrite - instead of overwrite currently reshape is injected
* updated copyright header dates
* updated copyright date
* fixed braces not at the end of line
* fixed braces in if else sequence
* shortened line length
* fixed issues reported in review
* fixed test - model in test assumed clamped range <-5,5> however code had hard coded value <-50,50>, which test assumed as correct result
* fixed smoke_MemoryEltwiseReshapeConcatTest/MemoryEltwiseReshapeConcatTest
* [GNA] Added test for crop 4d
Co-authored-by: Andrey Dmitriev <andrey.dmitriev@intel.com>
* Refactored infer function and function supported_attrs for the layer Interpolate.
* Small change.
* Deleted unneeded checks in transformations ResizeToInterpolate2D and ResizeToInterpolate3D.
* Small fix in the extractor of ONNX Resize.
* Now the extractor of TF ResizeBilinear generates Interpolate-1 again, because 'axis' in final version of Interpolate-4 specification is an input but is not attribute.
* Now the extractor of TF ResizeNearest generates Interpolate-1 again, because 'axis' in final version of Interpolate-4 specification is an input but is not attribute.
* Added static method get_axis into class Interpolate.
* Refactored class CanBeFused in the transformation InterpolateSequenceToInterpolate.
* Fixed transformation InterpolateSequenceToInterpolate according to the last version of the specification of Interpolate-4.
* Started to write support of Interpolate-4 in the transformation InterpolateWithConcat.
* Added support for Interpolate-4 into the transformation InterpolateWithConcat.
* Added support for Interpolate-4 into the transformation InterpolateConcat.
* Added support for Interpolate-4 into the transformation InterpolateReshapeWA.
* Added support for Interpolate-4 into the transformation InterpolateTranspose.
* Started to add test for opset4 case of the transformation InterpolateSequenceToInterpolate.
* Added test for InterpolateSequenceToInterpolate (test_2d_interpolate_sequence_1_opset4_case).
* Added test for InterpolateSequenceToInterpolate (test_2d_interpolate_sequence_4_opset4_case).
* Added another test for InterpolateSequenceToInterpolate (test_2d_interpolate_sequence_5_opset4_case).
* Added another test for InterpolateSequenceToInterpolate (test_3d_interpolate_sequence_1_opset4_case).
* Finished addition of tests for opset4 case of InterpolateSequenceToInterpolate.
* Small change.
* Now opset is only opset1 or opset4 in the transformation InterpolateTranspose.
* Small fixes in transformations ResizeToInterpolate2D and ResizeToInterpolate3D.
* Deleted reading of unused ONNX attributes.
* Fixed docstring of the transformation InterpolateV1ToInterpolateV4.
* Added node name in assert about axes input.
* Fixes in the definition of the operation ONNXResize11.
* Now Interpolate-4 cannot have 'extension' as opset.
* Now the transformation InterpolateV1ToInterpolateV4 uses find_and_replace_pattern but not replace_sub_graph.
* Fixed tests for transformations InterpolateReshapeWA and InterpolateConcat.
* Fixed some tests.
* Rewritten operation Interpolate-4 class according to new variant of documentation.
* Some fixes in ONNXResize11 operation class.
* Now the transformation ONNXResize11ToInterpolate generates Interpolate-4 with 4 inputs.
* Now the transformation UpsampleToResample generates Interpolate-4 with 4 inputs.
* Now the transformation NearestNeighborUpsampling generates Interpolate-4 with 4 inputs.
* Now transformations ResizeToInterpolate2D and ResizeToInterpolate3D generate Interpolate-4 with 4 inputs.
* Now the transformation SplitConcatPairToInterpolate generates Interpolate-4 with 4 inputs.
* Now the transformation UnsqueezeTileReshapeBlockToInterpolate generates Interpolate-4 with 4 inputs.
* Now the transformation InterpolateV1ToInterpolateV4 generates Interpolate-4 with 4 inputs.
* Some fixes.
* Fixed the transformation InterpolateSequenceToInterpolate according to new variant of Interpolate-4 specification.
* Fixed typos.
* Added shape_calculation_mode to supported_attrs.
* Small fixes.
* Added operation ONNXResize10 and the transformation ONNXResize10ToInterpolate4.
* Fixed function correct_scales_using_dst_shape.
* Some fixes in InterpolateSequenceToInterpolate.
* Fixed bug in the method __call__ of the class CanBeFused: now self.accumulated_axes is correctly cleared in all cases.
* Small change.
* Fixed tests for the transformation SplitConcatPairToInterpolate.
* Now transformations InterpolateWithConcat, InterpolateReshapeWA, InterpolateConcat support Interpolate-4.
* Fixed the transformation InterpolateTranspose for the case of Interpolate-4.
* Written the back transformation InterpolateV4AxesCorrection to convert 'axes' input of Interpolate-4 from NHWC to NCHW layout.
* Added PermuteInput in Interpolate-4 infer.
* Fixed typos.
* Deleted the transformation InterpolateAxesCorrection.
* Now Interpolate-4 permutes axis, not shape in input port 3.
* Small fix.
* Some fix.
* Fixed bug in the transformation UpsampleToResample.
* Added some debug prints.
* Added more debug prints.
* Now ONNX Upsample-9 operation is read as ONNXResize10.
* Small fix.
* Small fixes.
* Fixed tests for the transformation SplitConcatPairToInterpolate.
* Deleted debug prints.
* Deleted some debug prints.
* Fixes in the transformation UnsqueezeTileReshapeBlockToInterpolate and its tests.
* Small fix in the transformation InterpolateSequenceToInterpolate.
* Started to write nGraph transformation to convert Interpolate-1 to Interpolate-4.
* Deleted redundant files.
* Small fixes.
* Small fix.
* Written draft of the transformation Interpolate-1 -> Interpolate-4.
* Small fix.
* Now ONNX Importer reads Resize-10 as Interpolate-4.
* Fixes in the test onnx_model_resize10_import_only.
* Small fix in the test for the conversion Interpolate-1 -> Interpolate-4.
* Small fixes.
* Fixed NGraphReaderTests for Interpolate.
* Some fixes.
* Deleted class for Resample operation.
* Fix in the transformation NearestNeighborUpsampling: fixed precision of the input 'scales' of generated Interpolate-4.
* Fixed typo.
* Now the TF operations ResizeBilinear is readed as internal MO operation TFResizeBilinear. This internal operation is converted into Interpolate-4.
* Small fix in BOM-file.
* Added checks of existence of attributes of TF ResizeBilinear operation.
* Small fixes in the conversion of the internal MO operation TFResizeBilinear to Interpolate-4.
* Small fixes.
* Small fixes.
* Now the transformation ONNXResize10ToInterpolateV4 calculates sizes input as input_shape * (scales + epsilon).
* Added the internal MO operation TFResizeNearestNeighbor.
* Fixes in the transformation SplitConcatPairToInterpolate and its tests.
* Fixes in the transformation UnsqueezeTileReshapeBlockToInterpolate and its tests.
* Written the transformation that converts the internal operation TFResizeNearestNeighbor into Interpolate-4.
* Now MO reads the TF operation ResizeNearestNeighbor as the internal MO operation TFResizeNearestNeighbor.
* Small fix.
* Now the specification of Interpolate-4 clarifies that the mode linear_onnx supports only 2D or 4D input tensors.
* Small fix.
* Some fixes.
* Moved the transformation ONNXResize10ToInterpolateV4 to the front stage.
* Deleted infer function and function supported_attrs for ONNXResize10 operation.
* Deleted supported_attrs() for TFResizeBilinear and TFResizeNearestNeighbor.
* Some fixes.
* Fixes in the shape infer function of the nGraph operation Interpolate-4. Now 'axes' input can be non-constant. In the such case, all elements of the output shape are Dimension::dynamic().
* Deleted corner cases processing in transformations TFResizeBilinearToInterpolateV4 and TFResizeNearestNeighborToInterpolateV4.
* Rewritten the function replace_resize_bilinear.
* Written inner MO operation TFResize that covers TF operations ResizeBilinear and ResizeNearestNeighbor.
* Now TF operations ResizeBilinear and ResizeNearestNeighbor are read as an internal operation TFResize in MO. Transformations TFResizeNearestNeighborToInterpolateV4 and TFResizeBilinearToInterpolateV4 are fused into one transformation TFResizeToInterpolateV4.
* Some changes in the shape infer function of nGraph op Interpolate-4.
* Small fix.
* Some changes.
* The transformation TFResizeToInterpolateV4 is moved to the front stage.
* Deleted redundant assert.
* Deleted transformations ResizeToInterpolate2D and ResizeToInterpolate3D.
* Some renaming.
* Small change.
* Deleted .copy() in the shape infer function of the internal operation TFResize.
* Small fix.
* Small fixes.
* Added comment about the case when the input 'axes' of Interpolate-4 is non-constant.
* Written test for Interpolate-4 shape infer, for the case when the input 'axes' is non-constant and shape_calculation_mode = scales.
* Some fixes.
* Small fixes.
* Small fix.
* Added yet another test for the case of non-constant 'axes' input of Interpolate-4 (when shape_calculation_mode = sizes).
* Added some comment.
* Small fix.
* Reverted changes for InterpolateWithConcat.
* Added type checks for all inputs of nGraph operation Interpolate-4.
* Added u32 and u64 to supported element types of sizes and axes inputs of nGraph operation Interpolate-4.
* Fixed some functional tests.
* Some changes.
* Added helper function float32_array.
* Now the MO transformation InterpolateV1ToInterpolate preserves names of layers.
* Small fix.
* Small fix.
* Reverted some change.
* Small fixes.
* Small fix.
* Small fix.
* Small fix.
* Small fix.
* Reverted changes in the nGraph reader tests for Interpolate-1.
* Some revert.
* Fixed some copyright year.
Alexandra Sidorova