* Fixed prototype of evaluate method.
* Rewritten Interpolate-4 ctors (added argument output_shape). Corrected tests.
* Fixed typo.
* Fixed number of args of make_shared in op::v4::Interpolate::clone_with_new_inputs.
* Fixes in Interpolate-4 tests.
* Now ONNX Upsample-1 is readed as Interpolate-4 with 4 inputs.
* Code style fixes.
* Some fixes in Interpolate-4 layer test.
* Now ONNX Upsample-9 is readed as Interpolate-4 with 4 inputs.
* Small fixes.
* Some changes.
* Fixed processing of 'scales' input in evaluation of Interpolate-4: now 'scales' contains scales only from 'axes'.
* Fixes in documentation.
* Now reference implementation of Interpolate-4 is rewritten for using 3 required inputs.
* Some code style fixes.
* Small fix.
* Started to write tests for method evaluate() of Interpolate-4.
* Continued to write tests for evaluate() of Interpolate-4.
* Some fixes.
* Some additions.
* Written draft of tests for 'cubic' mode with using scales.
* Some changes.
* Started to write tests for 'nearest' mode.
* Started to write tests for 'linear_onnx' mode.
* Some changes.
* Small fixes.
* Added setup of output type.
* Small addition.
* Added debug print into Interpolate-4 evaluate.
* Now in Interpolate-4 evaluation tests 3 inputs of Interpolate are Constants.
* Small changes.
* Added some debug print.
* Added more debug print.
* Some fixes.
* Now 4th argument of runtime::interpolate has type std::vector<int64_t>.
* Added checks for result of calculations.
* Added another expected values vector for the mode 'cubic'.
* Temporarily commented result value checks for the cubic mode.
* Written tests for 'nearest' mode.
* Some reorganization.
* Written tests for 'linear_onnx' mode.
* Fixed padding loop.
* Fixed docs for 'linear_onnx' mode.
* Written tests for 'cubic' mode.
* Deleted debug print.
* Fixed code style.
* Enabled CPU layer tests for Interpolate-4.
* Reverted changes of this file.
* Now ONNX importer reads Resize-1 as Interpolate-4 with 4 inputs.
* Now ONNX importer reads Resize-11 as Interpolate-4 with 4 inputs.
* Small fixes.
* Fixed docs.
* Added small epsilon in the shape calculation in the function op::v4::Interpolate::infer_using_scales.
* Small fix.
* Reduced size of the template function eval().
* Now the 'nearest' mode is rewritten to CoordinateTransfom instead of NDim* classes
* Now the 'cubic' mode is rewritten to use CoordinateTransformation instead of NDim classes.
* Started to rewrite 'linear' mode using CoordinateTransform.
* Started to write helper class.
* Small fix.
* Small changes.
* Some fix.
* Fixed typo.
* Now the preamble of 'linear_onnx' mode implementation is a method of helper class.
* Now the function clip_coord is the method of helper class, and the mode 'linear' uses CoordinateTransform instead of NDim classes.
* Deleted NDim classes.
* Some fixes.
* Some refactoring.
* Some refactoring: now inner calculation of 'linear' is in helper class.
* Moved reference implementation of Interpolate-4 into library with reference implementations.
* Small fix.
* Deleted commented tests.
* Code stile fixes.
* Deleted redundant type prop tests for Interpolate-4.
* Documentation fixes.
* Disabled IE_CPU tests for ONNX Resize: Interpolate-4 is not implemented in plugins.
* Temporarily disabled some ONNX tests.
* Some refactoring: deleted redundant attributes of InterpolateEval class.
* Small fix.
* Added NGRAPH_RTTI_DECLARATION and NGRAPH_RTTI_DEFINITION.
* Added debug print to 'cubic' mode calculation.
* Some deletions.
* Small fix.
* Fixed typos.
* Added another debug print.
* Now indices_shape is constructed from std::vector<std::size_t>(num_of_axes, 4) again.
* Fixed CMakeLists.txt.
* Small fix.
* Added more debug print.
* Fixed typo.
* Fixed calculation of the first argument of helper.clip_coord in the inner loop of cubic_func.
* Some code style fixes.
* Alphabetically sorted operations of opset4.
* Deleted constant cannot_define_axes.
* Used std::iota instead of loop.
* Renamed structure InfoToCallReference.
* Now void op::v4::Interpolate::validate_and_infer_types() checks an element type of an input tensor.
* Code style fix.
* Changes in reading of ONNX Resize and Upsample: we generate Interpolate-4 without 'axes' input.
* Now bodies of functions evaluate_interpolate_v4() and inline bool evaluate() are moved in the method bool op::v4::Interpolate::evaluate.
* Fixes in example of the documentation of Interpolate-4.
* Fixed typos.
* Small fix.
* Some fixes.
* Deleted some type aliases.
* Uncommented a test for 'cubic' mode.
* Small code style fix in bool op::v4::Interpolate::evaluate.
* Uncommented more test for Interpolate-4 reference implementation.
* Added more debug print.
* Some changes.
* Uncommented all tests for Interpolate-4 evaluate().
* Deleted debug print.
* Deleted 'simple' mode from the map nearest_mode_map.
* Code style fixes.
* Disabled some CPU tests.
* Some fixes.
* Small fixes.
* Some fixes.
* Fixed typo.
* Fixed typo.
* Small change.
* Fixed some typos.
* Fixed some typos.
* Fix in operator() of the class GetOriginalCoordinate.
* Disabled some CPU tests.
* Small changes.
* Deleted template function from resize.cpp.
* Code style fixes.
* Refactored the method op::v4::Interpolate::evaluate.
* Added documentation for infer_using_scales() and infer_using_shapes().
* Added documentation for classes GetNearestPixel and GetOriginalCoordinate.
* Small fixes.
* Some code style fixes.
* Small fixes.
* Some changes.
* Added NGRAPH_SUPPRESS_DEPRECATED_START and NGRAPH_SUPPRESS_DEPRECATED_END for using v0::InterpolateAttrs; and using v0::Interpolate;
* Code style fix.
* Enabled ONNX import only tests for Resize-10, Upsample-8, Upsample-9.
* Fixed element type for scales_const. Fixed targetShapes and pads in single layer tests.
* Small changes.
* Added conversion from NGRAPH to CNNLayer.
* Added documentation for the class InterpolateEval.
* Now 'nearest' mode has special tests in cpu single layer tests.
* Small changes.
* Fixes in cpu single layer tests.
* Temporarily commented Interpolate-4 in ConvertFunctionToCNNNetworkTests.
* Added some docs.
* Enabled some tests for Resize-11.
* Added test.
* Corrected expected values in the resize_downsample_scales_align_corners case.
* Added more test for the 'cubic' mode.
* Added more test for linear_onnx mode.
* Deleted debug print for linear_onnx mode.
* Deleted debug prints. Added yet another test for 'nearest' mode.
* Fixes for import of ONNX Resize-10 and Upsamples.
* Applyed Evgeny Lazarev fix for Interpolate-4 infer function.
* Code style fixes.
* Some tests were deleted from unit_test.manifest file for INTERPRETER.
* Deleted test for downscale Resize-10: results of infer are correct, but comparison is not.
* Enabled test INTERPRETER.onnx_empty_initializers_handling.
* Some fixes.
* Added the method run_with_tolerance_as_fp() to the class TestCase and the method compare_results_with_tolerance_as_fp() to the class TestCaseEngine.
* Small fix.
* Small fix.
* Added yet another type_prop test.
* Disabled CPU test IE_CPU.onnx_empty_initializers_handling.
* Code style fixes.
* Enabled some ONNX tests.
* Some changes.
* Code style fix.
* Enabled test INTERPRETER.onnx_model_round.
* Disabled tests with behavior as behavior of INTERPRETER.onnx_resize11_scales_down_linear.
* Changed tolerance for test onnx_empty_initializers_handling.
* Changed tolerance in the test onnx_resize11_sizes_linear (otherwise this test is failed in MacOS). Disabled test INTERPRETER.onnx_resize11_sizes_nearest_asymmetric_floor, because this test failed in MacOS only.
* Initial version of ReduceL1, ReduceL2 and ReduceLp enabling in the MO
* Added operations ReduceL1 and ReduceL2 to nGraph
* Removed ReduceLp. Added ReduceL1 and ReduceL2
* Separated specification of ReduceLp into ReduceL1 and ReduceL2
* Updated ReduceL1 and ReduceL2 specification
* Fixed ReduceL1 and ReduceL2 type prop tests
* Implemented nGraph transformation to decompose ReduceL1 and ReduceL2. Disabled them for CPU and GPU plugins
* Updated supported framework layers
* Added unit tests for ReduceL1 and ReduceL2 reference implementation
* Fixed ReduceXXX operations reference implementation by adding support for a new parameter 'keep_dims'
* Fixed constant folding for v0::Any
* Added ReduceL1 and ReduceL2 to Python API
* Implemented ReduceL1 and ReduceL2 decomposition tests and fixed ReduceL2 decomposition
* Added specific creator for ReduceXXX operations instead of NodeBuilders
* Fixed conversion ReduceXXX to CNNLayer
* Fixed parser for ReduceLogicalXXX operations
renamed logits -> bbox_deltas
updated ngraph unittests for Proposal
removed validate_and_infer_types Proposal-4
removed validate_and_infer_types Proposal-4
changed validate_and_infer_types in parent class of Proposal
removed get_output_size
successfully inferred Proposal on SSH and Faster-RCNN
added unittests for Proposal-4
added unittests for Proposal-4
added unittests for Proposal-4
returned back default namespace for Proposal
reduced number of outputs in v0::Proposal
correct conversion of Proposal-4 -> propodal_ie with 2 outputs
removed creator for proposal v0
removed converter for proposal v0
added Proposal-4 to MO
removed `for_deformable` attribute
added Proposal-4 to MO and nGraph Python API
removed typo in Proposal-4 specification
style corrections
style corrections and removed some redundant code
rename proposal Python api test
removed 'attrs' context from visitor
returned back AttrVisitor to check if passes OpenVINO ONNX pipeline
Should pass OpenVINO ONNX pipeline (returned back AttrVisitor just to check)
python api for Proposal-4 works ok
(style correction) python api for Proposal-4 works ok
parametrized proposal_ie some other corrections
removed 'attrs.' context from nGraph Python API tests for Proposal
minor corrections in replacer proposal->proposal_ie
corrected Python API OpenVINO-ONNX tests should pass
Improved workaround for AttributeVisitor for Proposal
Add additional check of im_info tensor shape to Proposal node in MKLDNNPlugin
😠 removed 4 extra spaces from test_dyn_attributes.py to match The Style
added new nGraph RTTI declarations, removed throwing exception in transformation
added new nGraph RTTI declarations, removed throwing exception in transformation, corrected exception in MKLDNNplugin
corrected im_info size checking in Proposal node of MKLDNNPlugin
* Separate MO configuration for TensorFlow 2 model conversion
Also, it updates documentation including steps to convert
TF2 model with a custom layer in Keras H5 format into SavedModel
* Do fixes based on the first-round code review
* Specify, review and approve operation Proposal-4
* added types section and some other corrections
* Added example of Proposal-4 without reductions
* Corrected information about input tensors
* removed 'logits' from specification, added information about shapes
* removed `for_deformable` attribute
* changed `batch_size` to 7
* updated output dimension
* Removed legacy library includes from plugin api headers
* Removed IInferencePluginAPI interface; merged with IInferencePlugin
* Removed pluginAPIInterface usage in Core implementation
This PR introduces next changes:
1. Transformations *_tbl.hpp files were replaced with direct registration in cpp files.
2. Plugins use pass::Manager to call conversion passes.
3. Transformations callback was moved to PassBase class as there is no more need to keep it in separate class
4. All pattern based transformations must be inherited from MatcherPass class. GraphRewrite class will be used only for matchers registration and execution on function.
MatcherPass class adds new features to pattern-based transformations approach:
* Allows to run matcher pass on a single node.
* Operations that were created inside transformation callback can be added to execution list to be available for pattern matching within single GraphRewrite.
5. GraphRewrite MatchClosure was replaced with MatcherPass. So all matchers will be registered as a MatcherPass.
6. Added pass::Manager::clear_state() method to avoid dependency with nodes that no longer belongs to function after replacement.
7. Some representative transformations were updated to use MatcherPass as an example.
8. Mul->Add sequence fusion transformation was replaced with LinOpSequenceFusion.
9. Pattern and callback registration code was moved to class c-tors (will be finished for remaining passes in other PR) .
10. Updated pass::Manager to get pass names only when NGRAPH_PROFILE_PASS_ENABLE enabled.
11. Moving towards removing PassProperty.
12. Added ngraph::pattern::wrap_type<T>(inputs, pred) to simplify pattern creation.
13. GraphRewrite was updated to execute MatcherPass more efficient.
