* XmlDeserializer relay on parameter/result (input/output) index which is reported during inserting to function
Xml parameter/result order is irrelevant now.
* drop stack usage - just single class member
* try to fix CentOS build
* fix after review
* Drop std::map to custom structure
* reorder layers in TI in test IR which failed on current master
Co-authored-by: Patryk Elszkowski <patryk.elszkowki@intel.com>
* fixed: StrideSlice/Crop was broken when crop axis != dim.size() - 1 & added support for tensor dim > 2
fixed: clamp had hard coded upper & lower boundary to -50/50
fixed: InsertIdentityLayerPass was adding not necessary identities that was leading to exception when 2 identities was added to convolution output
fixed: SubstituteScaleShiftBroadCastPass caused invalid input tensor dimension overwrite - instead of overwrite currently reshape is injected
* updated copyright header dates
* updated copyright date
* fixed braces not at the end of line
* fixed braces in if else sequence
* shortened line length
* fixed issues reported in review
* fixed test - model in test assumed clamped range <-5,5> however code had hard coded value <-50,50>, which test assumed as correct result
* fixed smoke_MemoryEltwiseReshapeConcatTest/MemoryEltwiseReshapeConcatTest
* [GNA] Added test for crop 4d
Co-authored-by: Andrey Dmitriev <andrey.dmitriev@intel.com>
* Implements test for CTCGreedyDecoderSeqLen layer in Myriad plugin.
* Changes the way CTCSeqLen operation is generated. Moved random generation of SeqLen input from makeCTC function to the test. Made test to clamp test's parameters to be in valid range.
* SubGraphOp shape inference and cloning fixed. WAs deleted
* Fix naming in OneHot->IE transformation
* Check for number of incomming/outcommit HostTensors and check for nullptrs in evaluates and bound evaluators
* move validate_host_tensor_vector into ngraph namespace
* RT propagation
* style
* Adding of partial support of MVN-6 operation to VPU Plugin (support restricted by MVN-1 interface)
* Disabling of MVN-6 decomposition for VPU Plugin
* Enabling of test cases for this operation
* Disabling of deprecated MVN tests while investigation is go on
* Draft implementation of the telemetry sender utility
* Examples of sending telemetry from the MO
* More statistic about the model.
* Intentional broken file to fail Mask-RCNN ONNX model conversion
* Added joined list of ops used
* Added requests to the requrements file and update BOM to include necessary files related to telemetry
* Send telemetry alwasys
* Refactored usage of GUID usage in the telemetry
* Enabled sending telemetry always
* Simplified function "TelemetryBackend.send"
* Use other approach to send information about session to GA
* Added automatic registration of the telemetry backends and allow to choose it during the telemetry class instantiation
* Added "requests" as a requirement. Wrapped usage of requests module to not crash the app
* Added timeout for sending data to GA. Increased the queue size to 1000
* Finalize Telemetry class implementation
* Do not fail MO if non-critical component is not installed and updated Telemetry GA with the default property
* Added sending version to a separate event
* Use default TID to send the data
* Set lower bound for the requests module which does not contain vulnerabilities
Co-authored-by: Evgeny Lazarev <elazarev.nnov@gmail.com>
* Removed legacy IE shape infer
* Removed legacy shape infer tests
* 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
Co-authored-by: Evgeny Lazarev <elazarev.nnov@gmail.com>
* remove NodeConverter for Interpolate and ScaleShiftIE
* add SpecificCreators for Interpolate and ScaleShiftIE
* add commented lines to check if tests will pass
* remove comments to check if tests will pass
* checking if tests are avaiable for ResampleV2
* remove NodeConvertor for ExecutionNode
* remove nodeCovnertor for ResampleV2 and add SLT for serialization
* remove shufflechannels op from node converter
* enable visitor api for resamplev2
* remove nodeconverter class
* add missing newline
* remove interpolate sslt- sporadic fails
* remove unnecessary interpolate specific creator
* Add interpolate specific creator
Co-authored-by: blesniewski <bartosz.lesniewski@intel.com>
* 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
* Updated Compile tool documentation, added extra description, removed FPGA related info
* Integrated review comments
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.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.
