6f0aaf2bb5
* First draft of nGraph documentation * updated according to review comments * Updated * Reviewed the nGraph Transformation section, added missing images * Update nGraph_dg.md * Delete python_api.md Removed since there is already the nGraph_Python_API.md document with a comprehensive overview. * Fixed links to images Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> Co-authored-by: CCR\avladimi <anastasiya.ageeva@intel.com>
33 lines
1.5 KiB
Markdown
33 lines
1.5 KiB
Markdown
# Build nGraph Function {#openvino_docs_nGraph_DG_build_function}
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This section illustrates how to construct an nGraph function
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composed of operations from an available opset. Once created,
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it can wrap into a `CNNNetwork`, creating utility for data scientists
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or app developers to define a deep-learning model in a neutral way
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that does not depend on existing Deep Learning (DL) frameworks.
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Operation Set `opsetX` integrates a list of nGraph pre-compiled operations that work
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for this purpose. In other words, `opsetX` defines a set of operations for building a graph.
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For a complete list of operation sets supported by Inference Engine, see [Available Operations Sets](../ops/opset.md).
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To add custom nGraph operations to an existing `CNNNetwork`, see
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the [Add Custom nGraph Operations](../IE_DG/Extensibility_DG/Intro.md) document.
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Below you can find examples on to how build `ngraph::Function` from the `opset3` operations:
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@snippet example_ngraph_utils.cpp ngraph:include
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@snippet example_ngraph_utils.cpp ngraph_utils:simple_function
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@snippet example_ngraph_utils.cpp ngraph_utils:advanced_function
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## See Also
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* [Available Operation Sets](../ops/opset.md)
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* [Operation Set `opset1` Specification](../ops/opset1.md)
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* [Operation Set `opset2` Specification](../ops/opset2.md)
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* [Operation Set `opset3` Specification](../ops/opset3.md)
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* [Operation Set `opset4` Specification](../ops/opset4.md)
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* [Inference Engine Extensibility Developer Guide](../IE_DG/Extensibility_DG/Intro.md)
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