* 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
* Use ngraph rtti macros
* Add visitor test
* Add SSLT
* Add hardcoded refs tests for ScatterElementsUpdate
* Add ScatterElementsUpdate to trusted ops list
* Add i16 case to backend tests
* Add typed testcase generation, check for all supported types
* Remove redundant parameters from generateScatterParams
* update spec
* remove backend tests and create op_reference test
* add logicalNot to constants
* add NGRAPH CHECK for number of inputs and outputs
* create type_prop tests
* create visitor test
* add type_op and visitor tests to CMakeLists
* remove backend test from CMakeList
* update T to T_BOOL
* update outputs part in spec
* fix type in the spec
* fixed conflicts in CMakeList
* update ReferenceLogicalLayerTest to also work with unary logical operator
* update logical_not op_reference test to use ReferenceLogicalLayerTest
* fix style
* fix style
* resolve conflict
* resolve conflict
* remove typo
* fix style
* Update ReferenceLogicalLayerTest class tto take input as a vector
* Create makeLogical function that takes ParameterVector as parameter
* update op_reference logical tests to take input as a vector
* Replace elem_type with input.type
* update getTestCaseName method
* Hiding the problem, Validate() changes 'function'
* Adding code to track changes
* Report result
* Added operation logging
* Cancelled the change of the function variable value that causes the bug in the report
* Removed logging of each operation to a file
* Debugging code removed
* Moved debugging under the macros
* Reports from commit were deleted
* Delete part_report.txt
* Delete report.xml
* Removed debug code
* Correcting the use of unnecessary actions to accomplish these tasks
* The name of the function to compile the debug report has changed to saveDebugReport
When propagating strides to Convolution node, make sure that setting strides
does not change padding in cases when auto_pad is not EXPLICIT.
When padding type is not EXPLICIT, strides make a role in paddings calculation.
Changes in paddings, result in change in an image position that filter is applied,
so we may end up with unwanted results after that.
* update spec
* create op_reference test
* add greateEqual to constants.py
* add ngraph_check for number of inputs and outputs
* add include
* fix style
* add information about broadcast in examples in spec
* Remove redundant reegistration of a new test class
* Remove visit_attributes method
* update outputs part in Greater and GreaterEqual spec
* fix typos in spec
