d72d833a96
* Bump ONNX version * Bump protobuf * Add xfails and skips * Add tickets * Skip ONNX Serialization tests * Compile ONNX with C++17 * Force cpp17 - 2 * Use MSVC check * Relax python reqs, enable 311 in azure * Fix setupvars error * Ignore watchdog error * Update tensorflow * Minor change * Bump onnx to 1.13.1 * Bump protobuf to 3.20.3 * Debug test tf * Xfail tests in comp * Update comp tests * Update tf reqs * Remove deprecated ONNX function * Align PDPD FE protobuf req with 2.4.1 * Satisfy dependency review * Attempt to fix dependency review * Revert pdpd protobuf * Skip pdpd tests * Fix MO-TF-PB test * Skip TF test case * Enable py311 on rest of jobs * Try disabling pdpd req * Exclude pdpd form cmake * Update .ci/azure/linux.yml Fixed unmerged merge-conflict * CR * Fix reqs * Skip pdpd tests * Disable pdpd tests building in cmake * Skip another pdpd cmake * Add file * Add paddle constraint to tests * Disable paddle reqs * Debug prints * Skip TF test if Python ver is 3.11 * Apply Mish cr comments * Debug * Debug * Constrain tensorflow_addons * Fix pdpd skipping * Add debug prints * Update skips * Remove prints * Minor change * Update OMZ commit * Fix some tests * Minor change * Disable pdpd at all * Disable pdpd at all --------- Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
OpenVINO™ Core Components
This section provides references and information about OpenVINO core components.
bindings/ // OpenVINO bindings
cmake/ // Common cmake scripts
common/ // Common components
core/ // OpenVINO core component provides model representation, operations and other core functionality
frontends/ // OpenVINO frontends
inference/ // Provides API for model inference
plugins/ // OpenVINO plugins
tests/ // A backed of tests binaries for core and plugins
OpenVINO Runtime library
OpenVINO Runtime is a common OpenVINO library which provides functionality for Neural Network inference. The library includes next parts:
flowchart LR
subgraph openvino [openvino library]
core
inference
transformations[Common transformations]
lp_transformations[LP transformations]
frontend_common
style frontend_common fill:#7f9dc0,stroke:#333,stroke-width:4px
style transformations fill:#3d85c6,stroke:#333,stroke-width:4px
style lp_transformations fill:#0b5394,stroke:#333,stroke-width:4px
style core fill:#679f58,stroke:#333,stroke-width:4px
style inference fill:#d7a203,stroke:#333,stroke-width:4px
end
- core is responsible for model representation, contains a set of supported OpenVINO operations and base API for model modification.
- inference provides the API for model inference on different accelerators.
- Transformations:
- common transformations - a set of common transformations which are used for model optimization
- low precision transformations - a set of transformations which are needed to optimize quantized models
- frontend_common provides frontend common API which allows to support frontends for different frameworks.
OpenVINO Frontends
OpenVINO Frontends allow to convert model from framework to OpenVINO representation.
Go to the Frontends page to get more information.
OpenVINO Plugins
OpenVINO Plugins provide support for hardware devices.
To get more information about supported OpenVINO Plugins, go to the Plugins page.
OpenVINO Bindings
OpenVINO provides bindings for different languages. To get the full list of supported languages, go to the bindings page.