* Refactor NopElimination; Execute NopEliminatoin inside MOC Backend
* Add missing header
* Refactor tests; use weak_ptr to avoid excess consumers for node
* Add test to check number of shared_ptr usages for graph nodes during Manager execution
* Remove AlgebraicSimplification forewer
* [clDNN] Handle negative axis in concat op
That enables following models for onnx importer path:
yolact-resnet50-fpn-pytorch
yolact-resnet101-fpn-pytorch
yolact-darknet53-fpn-pytorch
swin-tiny-patch4-window7-224
action-recognition-mkinetics-res34-mhsa
driver-action-recognition-adas-0002-decoder
horizontal-text-detection-0001
* Add tests for negative axis in Concat op
* Separate executable for paddlepaddle unit tests
* Fix CI
* Move PaddlePaddle-specific python requirements to paddlepaddle test folder
Also produce build time warning when paddle test models generation is disabled
* Renamed back PADDLE_TEST_MODELS_DIRNAME to TEST_PADDLE_MODELS_DIRNAME
* Add dependency on CPU plugin (PaddlePaddle fuzzy tests use CPU plugin for inference)
* Fix code style
* Fix review comments #2
* Code style fix
* Add dependency of 'paddlepaddle_test_models' to 'test_model_zoo'
* update spec, add visitors, backend test
* remove visitors test as it is implemented in another PR
* remove visitors test from CMakeLists
* remove old backend tests, refactor minor parts of the code
* add namespace
* refaactor template test for less_equal op
* update docs
* add host tensors validation
* create type_prop tests
* create serialization single layer test
* create visitor test
* create op_reference test
* add logicalAnd to constants.py
* create additional op_reference tests
* add check for number of visited attributes in visitor test
* update auto_broadcast description
* remoove backend test
* update LogicalNot params name
* remove backend test from CMakeList
* create util function for type_prop tests
* update op_reference tests
* remove typo in docs
* remove unsupported types from evaluate
* fix bug in op_reference test
* refactor visitor test
* update math formula in the spec
* update has_evaluate types
* Moved current IE API to separate folder
* Fix install
* Fix documentation
* Fixed install path
* Try to fix CI
* Changed installation path
* Use ONNXRuntime rel-1.8.1 version
* Initial version of v8::MaxPool op class
* Type instead of Type_t to indicate element type
* Attribute visitor test
* Common MaxPoolBase base class
* More refactoring
* v8::MaxPool cleanup
* Pooling ops inference helper extension - window dilation
* New MaxPool 3D type prop tests
* Common part of MaxPool validation part extracted to the base class
* MaxPool-8 shape inference with base class utils
* infer_batched_pooling_forward arguments reorder to avoid compilation errors
* Align the rounding type attribute name for both MaxPool version
* MaxPool-8 axis attribute
* Missing attributes
* Code formatting
* PR feedback
* MaxPool-1 RTTI definition adjustment
* Draft version of new approach for Proposal sub-graph conversion for TF OD API models
* Added clip_after_nms = True for Proposal sub-graph being replaced with DetectionOutput
* Refactored code to insert DetectionOutput instead of Proposal operation
* Code cleanup
* Added separate function to insert DetectionOutput instead of Proposal operation
* Updated transformation configuration files for the TF OD API models with Proposal transformation
* Code refactoring
* Code refactoring
* Fix for the condition
* Fixed transformation
* Fixed transformation. One more time
* Updated document about conversion of the TF OD API models
* Update code comments
* Allow to read and serialize IRs with -1 in dimensions (partially defined shape)
* Added unit test for reading/writing IR with partially defined shapes
* Added missing xml file with test IR
* Remove copy-paste issue
* Output message fix
* Restored statification of the output shapes during IR serialization
* Try to make dynamic shapes static with upper bound
* Code style changes
* Improve model cutting
* If part of model is cut, conversion rules must not run on it
* Add incorrect cut test
* Fix code style
* Fix test
* Fix codestyle
* Do not change op places graph on convert
* Assert output has producer
* Fix code style
* init version, need revise: opset7
* add convert testcase
* multiclass_nms support spec
* init version
* matrixnms support spec
* init support for matrix_nms
* impl matirx_nms
* implemented multiclass_nms reference.
TODO: more test cases.
* support dynamic shape in test
* update to spec 0611
* update to spec 0611
* fixes.
* fix: now sort by class_id and score work.
* fix clang check error
* more test cases verified.
* fixes in ref impl.
* attribute nms_eta works
* test cross_batch and output_type i32.
* enable multiclass-nms cpu plugin fallback ngraph
* keep topk typo
* enable matrix-nms cpu plugin fallback ngraph
* support sort_result_across_batch
* Add matrix_nms unit test
* Add cross batch test cases
* fix typo
* move multiclass to opset8
* move matrixnms to opset8
* Reference implementations for MulticlassNms and MatrixNms ops
* fix name conflict
* remove unused var
sort_result_across_batch default set to false
* avoid float overflow
* fix clang check error
* info for mac fail
* change testcase due to unstable sort
* nms add 'normalized' attribute
* multiclass cpu test support 'normalized'
* nms add 'normalized' attribute
* fixes: 1. normalized support. 2. sort by score before keep_top_k inside a batch.
* fixes: 1. normalized support. 2. sort by score before keep_top_k inside a batch.
* fix sort order in matrix_nms
* fix review comments
* add matrix_nms MKLDNN extension layer
* parallel in matirx nms
* separate filtered_box
* separate class_nms result
* parallel in class
* parallel in batch
* partial new nms
* partial remove useless function
* debug & fix
* debug in indexing
* fix test cases
* remove logging
* fix code-style
* fix typo
* add matrix_nms extension
* nms python api
* remove unused testcases
* refactor transformation
* transform dynamic shape to static shape
* Update inference-engine/src/transformations/include/ngraph_ops/nms_static_shape_ie.hpp
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* remove register_pass call
* [MKLDNN]migrate matrix_nms to MKLDNNNode
* bug fix in matrix_nms
* padding on matrix_nms
* remove logging
* test case refine
* merged transform_matrix_nms branch
* refine matrixnms testcase
* multiclass nms cpu plugin implement for static shape, rebased on Reference implementations PR
* rebase to new multi-classs transform provided by lc
* Name style algin with matrix-nms
* static shape padding style to batch inside,new unit test method, real classnum shape
* fix format
* fix ci error
* multi-class NMS modification based on PR reviewer opinion: code format, copyright, delete unused include and funciton way
* explicit template instantiation due to mac ci fail
* Yi3/fix review (#16)
* fix coding style
* use parallel_for2d
* fix ci fail
* unify 'copyright 2021'
* mkldnn_multiclass_nms node update based on PR review (#17)
* [MKLDNN] apply suggestion for matrix_nms (#18)
* fix bug
* apply review comments
* apply review comments
* apply review comments
* apply review comments
* skip only Nms test, not MatrixNms MulticlassNms test
Co-authored-by: Zhang Yi3 <yi3.zhang@intel.com>
Co-authored-by: jialipen <cecilia.peng@intel.com>
Co-authored-by: mangguo <mang.guo@intel.com>
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
Co-authored-by: liubo-intel <bo4.liu@intel.com>
* Implement transformation for TensorFlow 2 Map Function primitive
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add a description for get_external_node_by_internal_id function
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Correct a name for get_external_nodes_by_internal_id function
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix a description for get_external_nodes_by_internal_id function
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add logging and fix indentation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Use skip_nodes_by_condition to by-pass StopGradient nodes for tf.map_fn
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Change logic for using multiple models in cc tests
* removed extra key
* moved multiple infer to main function
* moved multiple infer to main function
* change test_config.yml and work with this file
* change test_config.yml and work with this file
* removed extra key
* changed separator symbol
* removed extra param from output
* Rollback comments in test_config.yml
* removed extra key in yml config file, change logic to save .npz for all model seperate instead of common npz file, change logic in parser arg
* removed extra key in yml config file, change logic to save .npz for all model seperate instead of common npz file, change logic in parser arg
* changed save path for infer result, deleted extra param
* updated test_config.yml
* rollback old way to get bin_path
* changed work with save path for inference result
* add empty line in the end for config file
* rollback line order
* removed extra param allow_pickle=True in loading .npz file
* removed mkdir in run_infer
* uncomment resnet model
* added empty line
* changed save folder for cc result
