Files
openvino/inference-engine/tests
Vladimir Gavrilov c1136cd7b0 Completely transition of MO to Interpolate-4 (#970)
* 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.
2021-02-05 19:20:26 +03:00
..
2021-02-04 17:43:20 +03:00
2020-04-13 21:17:23 +03:00

Inference Engine Test Infrastructure

This is OpenVINO Inference Engine testing framework. OpenVINO Inference Engine test system contains:

  • Unit tests
    This test type is used for detailed testing of each software instance (including internal classes with their methods) within the tested modules (Inference Engine and Plugins). There are following rules which are required for Unit Tests development:

    • All unit tests are separated into different executables per each tested module.

    • Unit test folder for a particular module should replicate SRC folder layout of the corresponding tested module to allow further developers get better understanding which part of software is already covered by unit tests and where to add new tests if needed.

      Example: We have network_serializer.h and network_serializer.cpp files within the src folder of the tested Inference Engine module. Then, new network_serializer_test.cpp file should be created within the root of the Unit Test folder for this module. This test file should cover all the classes and methods from the original files.

      Example: We have ie_reshaper.cpp within the src/shape_infer subfolder of the tested module. In this case new shape_infer subfolder should be created within the the root of the Unit Test folder for this module. And new ie_reshaper_test.cpp file should be created within this newly created subfolder. This test file should cover all the classes and methods from the original file.

    • Each Unit Test should cover the only target classes and methods. If needed, all external interface components should be mocked. There are common mock objects provided within the common Unit Test Utilities to stub the general Inference Engine API classes.

      Example: We have cnn_network_impl.hpp and cnn_network_impl.cpp files within the src folder of the tested module. In this case, new cnn_network_impl_test.cpp file should be created and it should contain tests on CNNNetworkImpl class only.

    • It's not prohibited to have several test files for the same file from the tested module.

    • It's not prohibited to create a separate test file for a specific classes or functions (not for the whole file).

  • Functional tests
    This test type is used to verify public Inference Engine API. There are following types of functional tests:

    • inference_engine_tests are plugin-independent tests. Used to verify Inference Engine API methods which don't involve any plugin runtime. E.g. network_reader, network_serializer, precision tests.
    • plugin_tests are plugin-dependent tests. These tests require plugin runtime to be executed during testing. E.g. any tests using ExecutableNetwork, InferRequest API can only be implemented within this test group.

    Example: Any new test on creating of a CNNNetwork object and checking of its output info should be included to to the Inference Engine Functional tests suite. But any new test containing reading of a network and loading it to a specified plugin is always the plugin test.

    There are following rules which are required for Functional Tests development:

    • All Functional tests are separated into different executables for the Inference Engine and each plugin.

    • Pre-converted IR files must not be used within the new Functional Tests. Tested models should be generated during the tests execution. The main method to generate a required model is building of the required NGraph function and creating of a CNNNetwork using it. If a required layer is not covered by Ngraph it's allowed to build IR file using xml_net_builder utility (please refer to the ir_net.hpp file). IR XML files hardcoded as strings within the test code should not be used.

    • All the plugin test cases are parametrized with (at least) the device name and included to the common funcSharedTests static library. This library is linked to the Plugin Test binaries. And all the plugin developers just add required test instantiations based on the linked test definitions to own test binary. It should be done to make all the shared test cases always visible and available to instantiate by other plugins.

      Note

      : Any new plugin test case should be added to the common test definitions library (funcSharedTests) within the DLDT repository first. And then this test case can be instantiated with the required parameters inside own plugin's test binary which links this shared tests library.

      Note

      : funcSharedTests library is added to the developer package and available for closed source development.

    • All the inference engine functional test cases are defined and instantiated within the single test binary. These test cases are not implemented as a separate library and not available for instantiations outside this binary.

  • Inference Engine tests utilities
    The set of utilities which are used by the Inference Engine Functional and Unit tests. Different helper functions, blob comparators, OS specific constants, etc are implemented within the utilities.
    Internal namespaces (for example, CommonTestUtils::, FuncTestUtils:: or UnitTestUtils::) must be used to separate utilities by domains.

    Note

    : All the utilities libraries are added to the developer package and available for closed source development.