* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Link Fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated documentation
* Added documentation for dev package
* Added separate documents for PyPI
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
* [MO][TF] Fixed TFSliceToSlice conversion error on Win, replaced int32_max with ShapeOf, minor correction in comments
* review apply: added create_op_with_const_inputs
* review apply: renamed variables, updated typehints for int64_array, float_array, float32_array
* renamed to correct_ends
* returned back check_op_attrs=True
* Added TF broadcast_to extractor
* updated Supported_Frameworks_Layers.md
* corrected name
* corrected op name in Supported_Frameworks_Layers.md
* added a space after BroadcastTo in Supported_Frameworks_Layers.md
* BinaryConvolution specification refactoring.
* Aligh tensor types to current CPU implementation.
* Remove !D & 3D case becuase CPU plugin supports only 2D case.
* Add pad_value to the example.
* Add computation algorithm for mode 'xnor-popcount'.
* Computation formula refactoring.
* Fix typo in the description.
* fix ss
* successfully converted
* successfully run moved infer and normalizer unit-tests
* successfully rewritten StridedSlice infer unittests
* int64 array
* Successfully converter crash-when-loading, xj_feauture and toy nets (cherry-picked maxpoolV4 and tf_broadcast_ext)
* successfully moved PermuteAttrs to general mechanism
* successfully converted xj_feauture and crash when loading with the new rewritten SS infer
* fixed get_shape_from_slice and moved to common utils
* fixed extending masks and some other
* some refactoring
* fixed extending masks in extractor, fixed licence year and some other code clearing
* corrected a couple of unittests
* fox permute for 5 rank slice and 4 rank inputs/
* WIP
* Added comments
* fixed StridedSlice in ProposalMutation.py
* rechecked shape_infer unittests added some new cases
* added shape_infer unit-tests after StridedSliceNormalizer pass and Permute unit-tests
* corrected unittests
* Applied review comments
* general permutations for inputs implemented, corrected ellipsis unrolling when shrink_axis is at the beginning, some other corrections
* removed code duplication in infer and normalizer, moved 'slices' attr normalizing to StridedSliceNormalizer.py
* removed some code duplication and other minor improvements
* Added tests
* minor corrections
* wider range of unittests added (froze the number)
* review comments applied
* enabled skipped unit-test
* comment corrections
* applied review comments: changed op -> type, added some asserts, corrected comments and other minor corrections
* sorted inputs, updated Supported_Frameworks_Layers.md, some minor
* Reformulated, intermediate. No positive indices.
* Indices >= 0, depth > 0.
* Added the Types section and a more complicated example.
* Behavior for negative indices is undefined
* Wrap T1 & T2 with *
* Revert mkl-dnn to cae1e0b83
* T1: int32 or int64 only
* Removed legacy IE shape infer
* Removed GenericIE operation
* Removed legacy shape infer tests
* Removed legacy test with legacy IE reshape
* Fixed compilation issues related to removal of GenericIE
* Fixed one more compilation issue with clDNN
* Fixed test for reading experimental ops
* Updated tests and make IR Reader to load old experimenal and extension ops as opset6
* Change opset of some ops only if they are currently experimental/extension to avoid situation like opset1::Proposal -> opset6::Proposal
* Removed more legacy code
* Returned back code removed by mistake
* Fixed issues related to incorrect merge with master
* Merge fixes
* Fixed unit tests which starts to fail because now loading the model with unknown operation is failed earlier
* Removed incorrectly added code
Co-authored-by: Evgeny Lazarev <elazarev.nnov@gmail.com>
* Commit.
* Written the structure InfoForLinearONNXMode5D that contains info to perform interpolation in 'linear_onnx' mode for 5D tensors.
* Started to write the method get_info_for_linear_onnx_mode5D() that returns info for calculations of 'linear_onnx' mode in 5D case.
* Written the method InterpolateEvalHelper::get_info_for_linear_onnx_mode5D().
* Code style fix.
* Started to write calculation of 5D case of 'linear_onnx' mode.
* Written the method void InterpolateEval<T>::linear_onnx5D_func(const T* input_data, T* out).
* Added dispatching of 4D/5D cases of the mode 'linear_onnx'.
* Fixed code style.
* Some fixes.
* Code style fixes.
* Now linear_onnx_func throws an exception for incorrect input rank.
* Code style fix.
* Started to write tests for evaluation of 'linear_onnx' mode in the 5D case.
* Added first test for linear_onnx 5D.
* Small fixes.
* Written tests for evaluation of Interpolate-4 in linear_onnx 5D case.
* Some code style fixes.
* Small fix.
* Corrected documentation.
* Started to write generic implementation of 'linear_onnx' mode, for any ranks.
* Written the draft of a generic (for all ranks) implementation of 'linear_onnx' mode.
* Small fixes.
* Small fix.
* Small fix.
* Small fix.
* Code style fix.
* Small fix.
* Code style fix.
* Some fixes.
* Some fix.
* Small fix.
* Small fix.
* Code style fix.
* Added check for axes correctness into a generic implementation of the 'linear_onnx' mode.
* Now 5D case of the 'linear_onnx' mode is calculated using generic function.
* Code style fix.
* Deleted unused variable.
* Added debug prints.
* Small fix.
* Some fixes.
* Code style fix.
* Now all ranks are processed by a generic implementation in the 'linear_onnx' mode.
* Deleted name of missed test.
* Deleted 4D case implementation of the 'linear_onnx' mode.
* Reverted change in tests.
* Added needed 'const' modifiers and added a comment about the variable 'axis_idx_offset'.
* Small fixes.
* DeformableConvolution specification refactoring.
* Add ticks to types and layouts.
* Removed 1D and 3D Convolution type.
At the current moment CPU plugin and MXnet implemenatations supports
only 2D case.
* Fix examples section.
* Fix offests input layout description.
* Reference implementation for Proposal, enable CPU SLT
* code style fix
* add type prop test for invalid anchor count
* add unit test
* fix shapes in attribute test
* temp workaround- disable maring end of boxes list
* Disable CPU smoke test- spec misalignment
* code style fixes
* add some details to the specification
* disable myriadx proposal slt
* review changes, using usigned int and size_t
* improve proposal op shape inference to cover dynamic too, add unit test coverage
* remove unused variable in test body
* remove batch size in tests where its not used
* add post nms topn initialization in tests where it was missing
* review comments
* style fix
* style fix 2
* add tests, remove unused variables, change shape inference checks
* style fix
* add input tensors type checks and test coverage
* align input type in attribute and ngraphreader tests to match specification
* fix wrong dimension in error message
* proposalv4 ref impl
* enable single layer and unit tests for proposalv4 ref impl
* align output termination with cpu, enable cpu slt
* custom slt compares to detect less-than-predicted number of boxes
* custom slt compares to detect less-than-predicted number of boxes
* Clarify output termination in spec
* review comments
* smaller input data for unit tests
* add check for batch_dim being static
* disable gpu slt for proposal
* test data style fix
* test data style fix 2
* add type section to specification
* shape inference improvement
* multiply expected 1st dim in tests by post_nms_topn
* add checks and testcases for dynamic ranks
* indentation, review comments
* reduce code redundancy in ref implementation
* remove comment
* Fix typo in proposal1 spec
* Fix typo in proposal4 spec
* 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.
* Move Convolution and ConvolutionBackpropData ref impls into separate files.
* Add convolution unit tests.
* New convolution reference implementation.
* Remove unused convolution ref impl argument.
* Fix style.
* Revert "Remove unused convolution ref impl argument."
This reverts commit 739065d0d0.
* WA for arm-plugin: additional include with ConvolutionBackpropData.
* Style format in Convolution SLT CPU instantiation.
* Add 1D Convolution SLT CPU tests.
* Add Convolution Serialization SLT.
* Update source banners with 2021 date.
* Specification review.
* Readability improvement in padding detection.
* Refactoring regarding Tensor usage.
* Iteration over tensor slices made more readable.
* Code refactored to use only one convolution implementation.
3D convolution is used to compute also in 1D & 2D case (parameters,
inputs and filters shapes are adjusted accordingly).
* Removed Tensor abstraction.
* Name unnamed namespace as convolution_details.
* Refactoring: replaced std::next + negative index with std::prev.
* Specification refactoring.
* Revert "Name unnamed namespace as convolution_details."
This reverts commit cea526ec49.
* Added new convolution() overload.
* Fix legacy convolution() overload (needed for kmb-plugin).
* Reduced number of template type arguments in convolution ref impl.
* Added 'output' section in Convolution spec.
* Remove floating round type configuration.
