* Added support for Gelu-6 to the MO * Adding Gelu-6 to ngraph and python API + some tests * Fixed typo in the Gelu approximation mode * Fixed Gelu-6 reference implementation for Tanh mode * Added transformation to downgrade v6::Gelu to v2::Gelu * Added specification for the Gelu-6 * Code style fixes * The Gelu-6 operation specification update * Fixed compilation issue in reference implementation for Gelu * Fix compilation issues for some OSs * Code style fix * One more cpplint issue fix * Fixed Gelu6 reference implementation compilation on Windows. * Code style fix * Fixed various ngraph unit tests * Code style check * Reverted Gelu-2 to be fused op * Fixed Gelu6 downgrade transformation * Added unit test for Gelu6Downgrade transformation * Update copyright year * Updated copyright year * Replaced tab characters with 4 spaces in IR reader tests * Code style fixes * Added default value for GeluApproximation mode for Gelu-6 op * Fixed code style for Gelu-6 * Changed order of parameters for the Gelu evaluate to potentially avoid backward compatibility issues with ARM plugin * Fixed code style * Introduced opset7. Moved Gelu6 to opset7 * Fixed non-updated transformation * Fixed opset version in ngraph Python API for Gelu operation * Fixed typo in the opset number in the documentation * Reverted some changes related to Gelu6 * Updated MO to produce Gelu7 * Updated unit tests for Gelu * Updated Gelu7 specification * Changed gelu reference implementation. Added opset7 to Python packages * Updated Python API tests for Gelu operation * Code style fix * Marked get_approximation_mode function as const * Added missing "const" qualifier * Fixed code style issues in tests * Added extractor for MxNet operation Gelu * Spelling issues fix * Updated MxNet supported symbols * Added NGRAPH_OP_SCOPE for Gelu7 validate_and_infer_types * Fixed a typo in the comment
1.2 KiB
1.2 KiB
Available Operations Sets
According to capabilities of supported deep learning frameworks and hardware capabilities of a target inference device, all operations are combined into operations sets each fully supported in a specific version of OpenVINO™ toolkit.
This topic provides a complete list of available sets of operations supported in different versions of OpenVINO™ toolkit. It's highly recommended to use the actual version of the operations set for a particular release. For a list of operations included into an operations set, click a link in the table.
| OpenVINO™ Version | Actual Operations Set |
|---|---|
| 2021.4 | opset7 |
| 2021.3 | opset6 |
| 2021.2 | opset5 |
| 2021.1 | opset4 |
| 2020.4 | opset3 |
| 2020.3 | opset2 |
| 2020.2 | opset2 |
| 2020.1 | opset1 |
See Also
Deep Learning Network Intermediate Representation and Operations Sets in OpenVINO™