* [IE CORE] enable plugins & dependent libs loading using absolute path
urrently this allowed to use plugins.xml file to specify full path to specific plugin with it's all dependency, not to be persisted in CWD or in PATH
* Code review fixes
Previously Loop shape inference function
produced dynamic shapes for body parameters
and loop outputs if iteration count is
unknown (dynamic) or loop input data is
dynamic. At the same, time some dimensions
of input/outputs of body/loop could be
inferred under this circumstances which could
critical for model enablement (ex. Myriad-X
could support convolutions with dynamic batch,
but could not support convolutions with dynamic
spatial dimensions)
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* Update ONNX models to 00d95ba9e5758fd0bc5e6978033fabc4f2a95e61
That version fixes yolov4 and roberta models
* remove yolov4 post processing
* remove model directory before unpacking
* Enable CoreThreadingTestsWithIterations tests for GNA
Sync rest of GNA Lib API,
Sync Config for MT tests
Change models in CoreThreadingTestsWithIterations to be compat with GNA
* Use parameter for model set selection
* Fix style
* Disable HETERO CoreThreadingTestsWithIterations tests and create issue 45658
* Initial support of GatherElements in MO and nGraph
* apply_style
* added lost extractor for GatherElements
* Corrected GatherElements::validate_and_infer_types
* updated package_BOM.txt
* Type_t added
* started to implement ngraph shape_type_infer unit-tests
* finally implemented all ngraph shape_inference unit-tests
* updated Supported_Frameworks_Layers.md
* added correct handling of dynamic shapes in nGraph, added unit-tests for dynamic cases, fixed dump typos in MO, replaced axis type from int -> int64_t
* implemented shape infer for dynamic shapes with intervals
* finalized MO implementation
* applied comment from review
* style-apply
* spec correction
* removed conflict
* fixed typos
* removed obsolete comments form type_prop
* significant corrections in validate_and_infer_types
* style-apply
* data_rank check for axis
* Resolved problems with ssd_resnet34_1200
* removed debug code
* Added correct handling onnx nodes from parent graph scope
* removed unnecessary include
* fixed calcution index to replace
* fixed LoopParentParametersUsedInBody test
* added set_friendly_name
* apply Unsqueeze for each concatenated Loop output
* added handling trip count with value max_int
* merge from upstream/master
* update xfail list
* added checking is trip_count is constant
* Config for TF 2.0 Faster R-CNN models, refactored subgraph_between_nodes to use graph API
* Added support for new type of Preprocessing block in the TF 2.0 OD API models. Various fixes to enable the Faster R-CNN ResNet 50
* Updated text comments
* Fixed sub_graph_between_nodes for TensorIteratorMerge. Added support for the TF 2.X EfficientDet models (not yet reshape-able)
* Fixed unit tests
* Fixed regression for TF 1.X OD API SSD model, enabled TF 2.0 OD API SSD models
* Code clean up
* Switched TF 2.0 OD API Faster R-CNN to preprocessor replacement type 2
* Refactored ObjectDetectionAPIPreprocessorReplacement and ObjectDetectionAPIPreprocessor2Replacement
* Fixed bug in the Div transformation to Mul when input is integer.
* Added support for the TF 2.0 OD API Mask R-CNN
* Added unit tests for Div operation. Updated incorrectly modified mask_rcnn_support_api_v1.14.json
* Updated document with list of supported configuration files for TF OD API models
* Review comments
* Added tests for control flow edges for the sub_graph_between_nodes function
* Two more tests
* Fix missed/redundant attrs for some operations
* Align auto_pad attr values in spec
* Update MO IR Reader extenders for appropriate operations
* Allign auto_pad attr values for appropriate operations
* Remove changes in extenders
* Update backend_attrs for some operations
* Changes in shape_infer functions to correct work with explicit mode
* Apply offline comments
* Add spec for CTCGreedyDecoder
* Update spec
* Fix spec according to code rewiev
* Update spec
* Update spec
* Update spec according to review
* Update spec
* Update spec
* Update spec
* Update example spec
* Fix space in spec
* Fix spec
* Fix spec according to review
* fix spec
* update spec
* Update spec
* Change format outputs in spec
* Hot fix
* Minor fixes
* Add new attribute for op in spec
* change input
* Add precision to outputs
* Fix input in spec
* Update spec
* Update CTCGreedyDecoderSeqLen_6.md
fix mistakes
* Change first input layout
* fix example
Co-authored-by: Your Name <you@example.com>
* remove avgpool op from layer creator
* remove binaryconvolution op from layer creator
* remove broadcast op from layer creator
* remove ctcgreedydecoder op from layer creator
* remove stridedslice op from layer creator
* remove convolutionbackpropdata op from layer creator
* adjust broadcast op to deduce broadcast mode
* add default strides if not provided when creating stridedslice
* code review comments
* Fixed tests compilation for Android ARM
* Small fixes
* Fixed issues CVS-44775, CVS-34206, CVS-34349
* Disabled KSO tests for Template
* Eliminated invalid subgraphs
* Enabled KSO QueryNetwork tests for Template
* Fixed other plugins as well
* Used NodeTypeInfo instead of std::string
Co-authored-by: apankratovantonp <anton.pankratov@intel.com>
* Revice DetectionOutput reference implementation
Ticket: 37433
* fix test_create_op
* fix test_dyn_attributes
* apply code format
* fix crash on Windows when variance_encoded_in_target == 1
* add more checks for DetectionOutput inputs
* Fix single layer tests
* apply code format
* fix ssd_vgg16_300 inference with batch size > 1
* update types in docs
* fix crash on windows
* apply code style
* fix python tests
* fix setting output type
* change False to false and True to true in docs
* Allow prior boxes to have different type than box logits
Some models work that way
* simplify output shape calculation
* fixes to docs
