* 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.
* DeformableConvolution specification refactoring.
* Add ticks to types and layouts.
* Removed 1D and 3D Convolution type.
At the current moment CPU plugin and MXnet implemenatations supports
only 2D case.
* Fix examples section.
* Fix offests input layout description.
Makes DTS for BinaryEltwise produce empty output tensor in case if at least one input is empty. As criteria for empty tensor ReduceMin is used (assuming all shape's values are non-negative).
Tests are changed accordingly. Trying to add a new test case on inference with empty input, reference version failed, so those tests are left unchanged.
* remove cropie op from node converter
* remove eltwise from node converter, enable visitor api
* remove ceiling op from node converter
* remove powerie, reluie, fullyconnected from node converter
* remove unused node converters
* join relu and reluie specific creators
* add missing eltwise types to node conversion
* fix eltwise type
* change power ops scale parameter passing for better precision
