* Moved operations M-P to ov namespace
* Fixed code style
* Fixed build
* Fixed comments
* Moved operations R-Z to ov namespace
* Fixed build
* Fixed comments
Co-authored-by: y <ilya.lavrenov@intel.com>
* [FrontEnd][PaddlePaddle] fix fill_constant_batch_size_like when attribute str_value be empty.
This happens when export ppyolo with PaddleDetection release/2.2.
* code refactor.
* remove uncertain comments
* Propose new Slice-8 operation
(cherry picked from commit a44ed32a6f)
* Align category
* Update detailed descripiton
* Update Inputs/Outputs description
* Add no attributes info
* Precise range of axis values
* Update descriptions
* More details about negative steps and slicing backwards
* Add more details
* Add examples
* Change step input to Required
* Apply spell check comments
* Add missing commas
* Add separate T_AXIS type for axis input
* Make example data 2D
* Remove duplicated example
* Apply review suggestions
Co-authored-by: Michal Karzynski <michal.karzynski@intel.com>
* Moved ngraph::Node to ov namespace
* Fixed code style
* Fixed VPU
* Fixed GNA
* Fixed tests
* Added aliases for backward compatibility
* Fix clDNN
* Try to fix build
* Fixed comment
* Renamed RTTI macros
* Moved op utils to ov namespace
* Fixed ngraph library build
* Fixed unit-tests
* Changed src folder
* Fixed recurrent_sequence
* Changed low latency
* Fixed serialize
* Fixed ieFuncTests
* Try to fix windows
* Remove custom operator<< from tests
* Fixed build
* Moved operations from A to ov namespace
* Moved operations from B and C to ov namespace
* Moved operations D-F to ov namespace
* Update ngraph/core/src/op/embeddingbag_offsets_sum.cpp
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
* Update ngraph/core/src/op/embeddingbag_packedsum.cpp
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
* Fixed RTTI
* Moved operations G-L to ov namespace
* Fixed RTTI
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
* Moved ngraph::Node to ov namespace
* Fixed code style
* Fixed VPU
* Fixed GNA
* Fixed tests
* Added aliases for backward compatibility
* Fix clDNN
* Try to fix build
* Fixed comment
* Renamed RTTI macros
* Moved op utils to ov namespace
* Fixed ngraph library build
* Fixed unit-tests
* Changed src folder
* Fixed recurrent_sequence
* Changed low latency
* Fixed serialize
* Fixed ieFuncTests
* Try to fix windows
* Remove custom operator<< from tests
* Fixed build
* Moved operations from A to ov namespace
* Moved operations from B and C to ov namespace
* Moved operations D-F to ov namespace
* Update ngraph/core/src/op/embeddingbag_offsets_sum.cpp
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
* Update ngraph/core/src/op/embeddingbag_packedsum.cpp
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
* Adds perf counters, and scale factor args
* Adding defined choices for arch type for -a/--arch option
* changing print to logger, frequencies are now global consts
* change to log info formatting
* Fix style issues
* doc: Update inference-engine/ie_bridges/python/sample/speech_sample/README.md
* doc: Update inference-engine/ie_bridges/python/sample/speech_sample/README.md
* doc: Update inference-engine/ie_bridges/python/sample/speech_sample/arg_parser.py
* doc: Update inference-engine/ie_bridges/python/sample/speech_sample/arg_parser.py
Co-authored-by: Koyanagi, Ken <ken.koyanagi@intel.com>
Co-authored-by: Kate Generalova <kate.generalova@intel.com>
* Enable `-oname` for a imported model
* Refactor `get_output_layer_list` func
* refactor: Update inference-engine/ie_bridges/python/sample/speech_sample/speech_sample.py
Co-authored-by: Kate Generalova <kate.generalova@intel.com>
* Moved ngraph::Node to ov namespace
* Fixed code style
* Fixed VPU
* Fixed GNA
* Fixed tests
* Added aliases for backward compatibility
* Fix clDNN
* Try to fix build
* Fixed comment
* Renamed RTTI macros
* Moved op utils to ov namespace
* Fixed ngraph library build
* Fixed unit-tests
* Changed src folder
* Fixed recurrent_sequence
* Changed low latency
* Fixed serialize
* Fixed ieFuncTests
* Try to fix windows
* Remove custom operator<< from tests
* Fixed build
* Moved operations from A to ov namespace
* Moved operations from B and C to ov namespace
* Allow MO to generate IR with -1 in dimensions
* Some fixes to support -1 for StridedSlice operation
* Updated TensorArrayGatherV3 shape infer to support dynamic output shape
* Several fixes to support undefined dimensions in the Broadcast,Reshape,Slice and Tile
* Fixed bug in the normalization transformation of TF NMS to opset NMS
* Updated shape infer functions related to StridedSlice and NMS
* Updated Select shape inference function to use common shape broadcasting function supporting dynamism
* Fixed operation TFResize shape infer function to work correctly for case when model is converted with --disable_nhwc_to_nchw
* Dynamic Range and update asserts in NMS
* Changed the way how dynamic dimensions are specified. Refactored shape inference functions and common places to use new approach
* More fixes to support dynamic shapes
* More fixes for support of dynamic shapes
* Fixed generation of IR with dynamic dimensions
* Allow reading IRs with undefined dimensions
* More changes in the IE to support dynamic dimensions
* Fixes for Switch, Merge, Concat shape and value infer related to dynamism
* Fixed TensorArray related ops to properly handle dynamic dimensions. Fixed StridedSlice infer for case with new_axis
* Fixed shape_for_layout function to generate masked array
* Fixed shape inference for Convolution and Poolings to support dynamic spatial dimensions
* Updated shape infer functions for CTCGreedyDecotder, CTCLoss and Enter
* Fixed shape inference with dynamic dimensions for MatMul, Split, Upsample, SpaceToBatch, some fixes for the TI
* Fixes for undefined dimensions support for Proposal and DetectionOutput
* Fixed ExtractImagePatches, DepthToSpace and RegionYolo shape infer functions to work with partially dynamic dimensions
* Changes in tf_window_op_pad_infer to better work with dynamic dimensions
* Fixed output shape calculation for StridedSlice operation
* More StridedSlice fixes
* Fixed resolve_convolution_with_group
* Fixed unit tests
* Fixed unit tests
* Fixed Switch op unit tests
* Fixed shape inference for Upsample operation
* Updated unit tests for the Concat operation
* Fixed eltwise shape infer unit tests
* Fixed shape infer tests for Convolution and DetectionOutput ops
* Fixed Crop shape infer function tests
* Fixed Slice op unit test and minor fix in the shape inference. Fixed emitter
* Updated unit test for telemetry and match_shape function for dynamism
* Fixed unit test for the DetectionOutput
* Added support for the TF ClipByValue operation
* Fixed GatherND shape inference for dynamic shapes support
* Dynamic shapes support for the MO IR Reader
* Fixed BlockLSTM operation to not work as an extractor
* Allow to serialize IRs with partially defined shapes
* Updated SelectBroadcast transformation to not check shape values
* Fixed MO IR comparator
* Fixed SS value propagation when slices are dynamic
* Do not re-run graph clean-up for ProposalMutation
* Fixed InterpolateSequenceToInterpolate transformation to support dynamic dimensions
* Fixed Loop iteration count calculation and reading IteratorGetNext shapes
* Fixed unit test for serialization
* Fixed serialization test
* Fixed RandomUniform shape infer
* Fixed several transformations related to RNN to respect dynamic output shapes
* Fixed Deconvolutin shape calculation for dynamic batch. Eltwise shape infer improvements
* Fixed shape infer functions for ExperimentalDetectron ops, reverted changes for NonZero and removed debug prints
* Fixed check for dynamism of a list, fixed value propagation for Concat op and remove redundant shape infer for reshape
* Update Eltwise value propagation to use np.ma
* Fixed ExpandDims shape infer function
* Shape infer functions fixes and improvements
* Remove Accum op from the MO
* Updated activation functions shape infer
* Removed unsupported operation Correlation
* Fixed shape infers for several functions
* Removed unsupported DataAugmentation operation
* Fixed shape infer functions for several ops in extensions directory
* Removed not-support operation PowerFile
* Removed unsupported SpatialTransformer,SimplerNMS and PredictionHeatmap operations
* More shape infer functions updates
* Merge shape infer fix
* Fixed typo
* Fixed TensorArraySize shape infer function
* Fixed VariadicSplit and Squeeze shape infer
* Fixed ONNX models Parameter extractor
* Updated Select value propagation for the dynamic case
* Fixed ReorgYolo shape infer and test
* Removed unnecessary tests
* Fixed Tile shape infer
* Fixed SparseFillEmptryRows unit tests
* Fixed package bom
* Added extractor for the TF operation Mod
* Fixed value propagation for MatMul operation
* Updated Parameter extender to generate shape_array when shape is partially defined only
* Fixed BOM file
* Fixed issue with the TF OD API models and DetectionOutput op. Now the shape infer function for the DO do not re-infer "num_classes" attribute value if it is already known
* Fixed unit test for the DO infer
* Fixed num classes calculation for the DO generation for Faster/Mask-RCNN models
* Changed NMS op to produce static output shape
* Restore dynamic output shape calculation for the NMS for NMS-5
* Fixed CellNormalizer transformation. It should work for static shapes only
* RNNCell Op class fixes
* Revert some changes
* Updated documentation with a list of supported operations
* Revert changes
* Fixes for the ConstantFill op
* Removed redundant SequenceLengthToMask transformation
* TensorArray* ops shape infer code style and refactoring
* Reverse some unnecessary changes in the ConvolutionNormalizer
* Fixes and unit tests for shape_array, compare_shapes, is_fully_defined functions
* Implemented shape_insert, shape_delete functions and tests for them
* Modified code to use shape_delete function
* Added usage of shape_insert function where necessary
* Use shape_insert function in many places
* Some fixes in shape inference for various ops
* Updated shape_delete function to support negative indices
* Changes and unit tests for the MatMul infer function
* Removed strange code from the TF Merge infer function
* Merge op shape infer fixes
* Fixed value propagation in the transformation EltwiseInputReshape.py for the dynamic dimension case
* Code cleanup
* Updated GatherND to support dynamic dimensions
* Minor fixes
* Fixed shape_insert and shape_delete to support np.int64 and np.int32 types
* Updated Upsample operation unit tests with dynamic input shapes
* Minor change in the extensions/back/ConvolutionNormalizer.py to make sure that input dimensions are static
* Fixed ConvertGroupedStridedSlice transformation and added unit tests
* Revert debug changes
* Fixed value propagation for Unsqueeze to work with partially defined input values
* Typo fix
* Added unit tests for the Unsqueeze op shape infer
* broadcasting functions changes and unit tests
* Fixed Tile value inference for partially defined input tensor
* Unit tests for Split and VariadicSplit ops
* Fixes for the Concat infer + unit tests
* Removed redundant tf_pack shape infer
* Fixed Concat value infer and added unit tests
* Fixed StridedSlice shape inference for case with dynamic slices
* Fixes related to StridedSlice shape infer, changes in tests
* Unit tests for the eltwise shape and value infer
* Fixed Pad op value propagation to allow dynamic input values to be propagated
* Unit test for Pooling dynamic input shape infer
* Squeeze op unit tests for dynamic input shape
* Added assert to the Squeeze op shape infer for case when squeeze dimension is dynamic value
* Added message to the MO when input shapes are dynamic
* Convolution dynamic unit test
* Removed redundant transformation GroupedConvWeightsNormalize
* Removed non-ascii character from the message
* Fixed typo in the BOM file
* Code style and comment fixes
* Fixed copy-paste issue in the DO shape infer function
* Fixed setting dynamic shape in the MO command line
* Added function to compare tensor with dynamic values. Fixes in the unit tests and shape infer functions
* Improved Reshape shape infer + added unit tests
* Fixed value propagation for Select op
* Renamed several internal functions, minor code fixes.
* Code style fixes
* Modified condition in the _set_shape method of the Port class to not check shape if the "override_output_shape" attribute is specified
* Fixed constant value propagation for ReduceOps when inputs have dynamic values. Added unit test
* Fixed shape infer for the Loop for dynamic dimensions case
* Fix in the NMS shape infer to avoid ragged numpy array generation. Fixed Scatter shape infer validation
* Improved shapes infer for eltwise ops with respect to dynamic dimensions
* Changed code comments
* Renamed tensor names in the ClipByValueTFTransformation
* Changed np.ma.allequal to strict_compare_tensors in the Merge op infer
* Chanded np.ma.allequal with strict_compare_tensor.
* Fixed Merge op value infer
* Fixed debug code
* Removed commented line
* Updated condition to check for dynamic shapes in the Partial infer to not fail for MxNet models
* Improvements to the get_shape_from_slice and is_dynamic_slice functions
* Reverted change in the `normalize_slices_attr` for ellipsis mask case
* Updated shape conditions in the ScatterNDBase op to support dynamic dimensions
* Crop op file refactoring
* Set "type" attribute to None for SparseFillEmptyRows op which is not from any opset
* Removed unnecessary extractor test
* Restored Crop operation type
* Removed "type" attribute from the Crop operation and updated the MO code to find Crop by "op" attribute
* Fixed If shape infer function to produce dynamic dimensions
* Updated If shape and value infer to properly work when condition is static
* Fixed fusing transformation check to work with dynamic dimensions. Change comparison in the shape_inference function to not use strict shapes comparison
* Optimize imports in the LayerNorm
* ConvertGroupedStridedSlice minor fixes related to dynamism support
* Fixed ConvertGroupedStridedSlice to properly check if the dimension is sliced
* update comparisiofiles to use const ref param
* introduce conversion layer test definitions
* adapt old tests to the new format
* remove old duplicated conversion tests
* fix "convertion" typo to "conversion"
* fix style issues and abandon unnecessary changes
* fix include order
* update remaining conversion tests to use introduced class
* fix gpu class test naming
* bring back convert.hpp and convert_like.hpp files
* bring back convert.hppcppd convert_like.cpp files
* bring back single_layer_tests/convert.hpp file
* add missing copyright info
* fix issue with braces initiator for conversion types
* add missing convert_like tests
* add deprecated code macros
* update deprecated code macro message
* add missing space in deprecated code macro message
* update skip ConvertLike tests ticket
* update deprecated code to use IE macros
* update remaining ngraph_deprecated macros to use IE macros
* Refactor visitor test of reduce operations to include operation name
* Add template plugin tests for reduction operations
* Remove backent unit tests of reduction operations
* Use Tensor utility to instantiate tests
* Use std::for_each instead of raw for loop to produce test case instances
* Cover remaining backend tests in manifest by SLTs cases
* Fix regex to skip cpu test failing in centos build with precision u64
* Added nGraph as a public dependency
* Fixed Windows warning
* Fixed CMake
* Fixed constant op
* Fixed typo
* Added reshape to PartialShape to CNNNetwork
* Added SetShape to InferRequest
* Enable support of DynamicShape in IE Data
* Add support of dynamic shapes to template plugin
* Fixed build
* Enable support dynamic rank
* Fixed test for dynamic rank
* Fixed some tests
* Fix preprocess tests
* Fixed SetBlob
* Fixed code style
* Add more tests
* Fixed accuracy tests
* Fixed documentation
* Added tests for custom operation
* Added new tests
* WIP: move setShape from infer request to Blob
* Returned isApplicable check back
* Removed obsolete tests for InferRequest::SetShape and add new test for Blob::setShape (a trivial one)
* Fixed artifacts
* Break code style
* Revert "Break code style"
This reverts commit 71ee638cd0.
* Added -j8 for fix_all
* Applied code style fixes
* Adde doxygen items
* Fixed style
* Applied codestyle patch
* Reverted unrelevant commit with template extension
* Fixed cmake file for shared func tests (pick from master)
* Revert all changes in template_extension
* Deleted some old stuff that commented and won't be used
* Fixed wrong exception throwing
* Code style fix
* Fixed preprocessing part
* Fixed incorrect blob reshape in GetBlob
* Deleted incorrect assert in GAPI that prevents passing some tests in Debug
* Fixed issues identified during review
* Removed SetShape, replace getLayoutByDims by getLayoutByRank and removed problematic modification from IE preprocessing
* Fixed comments
* Removed obsolete setShape
* [VPU] Fixed allocating dynamic blobs in myriad_infer_request
* Fixed comments
* Fixed CNNNgraphImpl and comments
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
Co-authored-by: Polina <polina.brzezinskaya@intel.com>
* Deprecate stopwatch
* Deprecate some utils
* Deprecate versions
* Moved slice_plan from the top level
* Fixed build
* Deprecate more old structures
* Fixed linux build
