Ivan TikhonovIlya ChuraevLyalin, Sergey <sergey.lyalin@intel.com>
20bf6ca6c4 Implement TelemetryExtension and enable op statistic collection in ONNX/Paddle/TF FrontEnds (#8666)
* Moved so loader to utils

* Fixed extension tests

* Fixed tests and style

* Fixed style and tests

* Fixed ARM build

* Fix windows

* Fix ieFuncTests

* Wrap runtime exception

* Fixed tests

* Added separate new extension

* Fixed unicode extension loading

* Try to fix windows

* Fixed windows

* Fixed macro

* Fixed doc

* Fixed build

* Fixed comments

* Try to fix build

* Fixed build

* Fixed build

* Fixed shared_from_this

* Temp commit

* Changed extension

* Fixed merge conflicts

* Removed ngraph namespace from new extensions

* Fixed code style

* Added core add_extension methods and tests

* Added new tests

* Implement tile operation

* Enabled new extensions support

* Fixed build

* Fixed code style

* Try to fix windows

* Changed base extension class

* Removed redundant Ptr

* Fixed comments

* Fixed friend decl

* Fixed Windows export

* Fixed centos

* Added template add_extension method

* WIP: experiments with FE extensions, python callback in C++ code, draft of transformation, op and telemetry extensions

* Move destructor to public

* WIP: merge with core extension WIP branch

* Temporary WA for defualt ctor in VariantTemp. TODO: revert back before merging to master

* Removed BaseExtension class

* Added variadic add_extension methods

* Fixed doc and typo

* Added BaseOpDestructor

* Allow to create new extension only for new operations

* Revert tests

* Fixed comments

* Fixed comments

* WIP with various types of extensions, finalizing merge

* Fixed merge artefacts and finalized Json extensions

* TelemetryExtension initial commit

* Telemetry tests

* Add telemetry to frontends

* delete debug prints

* missprint

* Resolve review comments

* update tests

* fix tests

* Collect op statistics in InputModel for PDPD, TF; Update tests

* delete debug prints, codestyle

* fix paddle frontend

* Add event_category to TelemetryExtension ctor, update event_send calls, update tests

* Add convertion_method Temetry event to MO

* pass TelemetryExtension to ONNX frontend

* Fix default argument

* Clean up

* delete unnecessary m_telemetry members

* fix windows build

* fix win build again

* try to link frontend manager statically to ONNXFrontEnd

* use static frontend_manager in unit tests

* fix win build: split declaration and definition of TelemetryException

* Resolve review remarks

* send Telemetry events for subgraph ops in ONXX, fix unit tests

* fix build

* add missign files

* resolve review comments, fix centos

* Add blank lines

* Set correct TID for Telemetry

* resolve review commetns

Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
Co-authored-by: Lyalin, Sergey <sergey.lyalin@intel.com>
2021-12-01 09:51:00 +03:00
2021-11-27 11:28:25 +03:00
2021-11-27 11:28:25 +03:00
2021-11-29 14:05:08 +03:00
2021-11-27 11:28:25 +03:00
2021-05-31 15:24:56 +03:00
2018-10-16 13:45:03 +03:00
2020-11-17 16:44:44 +03:00

OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch) PyPI Downloads

This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.

This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as Caffe*, TensorFlow*, MXNet* and ONNX*.

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License

Deep Learning Deployment Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

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