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* 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 * Edits to MO Per findings spreadsheet * macOS changes per issue spreadsheet * Fixes from review spreadsheet Mostly IE_DG fixes * Consistency changes * Make doc fixes from last round of review * integrate changes from baychub/master * Update Intro.md * Update Cutting_Model.md * Update Cutting_Model.md * Fixed link to Customize_Model_Optimizer.md Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com> Co-authored-by: baychub <cbay@yahoo.com>
40 lines
2.4 KiB
Markdown
40 lines
2.4 KiB
Markdown
# nGraph Basic Concepts {#openvino_docs_nGraph_DG_basic_concepts}
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The nGraph represents neural networks in uniform format. User can create different operations and combined their to one `ngraph::Function`.
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## nGraph Function and Graph Representation <a name="ngraph_function"></a>
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nGraph function is a very simple thing: it stores shared pointers to `ngraph::op::Parameter`, `ngraph::op::Result` and `ngraph::op::Sink` operations that are inputs, outputs and sinks of the graph.
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Sinks of the graph have no consumers and are not included in the results vector. All other operations hold each other via shared pointers: child operation holds its parent (hard link). If operation has no consumers and it's not Result or Sink operation
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(shared pointer counter is zero) then it will be destructed and won't be accessible anymore. Each operation in `ngraph::Function` has a `std::shared_ptr<ngraph::Node>` type.
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For details on how to build an nGraph Function, see the [Build nGraph Function](./build_function.md) page.
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## Operations
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`ngraph::Op` represents any abstract operations in the nGraph representation. You need to use this class to create [custom operations](../IE_DG/Extensibility_DG/AddingNGraphOps.md).
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## Operation Sets
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Operation set represents the set of some nGraph operations. `nGraph::Opset` is a class which provide a functionality to work with operation sets.
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Custom operation set should be created to support custom operation. Please read [Extensibility DevGuide](../IE_DG/Extensibility_DG/Intro.md) for more details.
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## Static and Partial Shapes
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nGraph has two types for shape representation:
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* `ngraph::Shape` - Represents static (fully defined) shapes.
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* `ngraph::PartialShape` - Represents dynamic shapes. That means that the rank or some of dimensions are dynamic (undefined). `ngraph::PartialShape` can be converted to `ngraph::Shape` using the `get_shape()` method if all dimensions are static; otherwise the conversion raises an exception.
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For examples, see the Dynamic Shape and Rank section in the [Overview of Transformations API](./nGraphTransformation.md).
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## Transformation API
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nGraph transformation API allows you to manipulate the graph represented by `nGraph::Function`. For more details, see the [Overview of Transformations API](./nGraphTransformation.md) section.
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## Pattern Matcher
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For more details, see the Pattern Matching section in the [Overview of Transformations API](./nGraphTransformation.md).
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