ngraph.opset2.ops¶
Factory functions for all ngraph ops.
Module Attributes
Functions
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Return input values as nodes. |
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Return input values as nodes. |
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Verify that the provided value is an iterable of integers. |
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Perform BatchToSpace operation on the input tensor. |
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Convert the first two input values to Constant Nodes if numeric values are detected. |
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Perform attributes validation according to specified type, value criteria. |
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Perform Gaussian Error Linear Unit operation element-wise on data from input node. |
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Return a numpy.dtype for an ngraph element type. |
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Return an ngraph element type for a Python type or numpy.dtype. |
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Return an ngraph element type string representation for a Python type or numpy dtype. |
Determine whether the specified x is non-negative value. |
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Determine whether the specified x is positive value. |
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Return an ngraph Constant node with the specified value. |
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Perform Mean Variance Normalization operation on data from input node. |
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Set the name to the ngraph operator returned by the wrapped function. |
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Return a node which produces the ReorgYolo operation. |
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Return a node which produces an ROIPooling operation. |
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Perform SpaceToBatch operation on the input tensor. |
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Convert the first input value to a Constant Node if a numeric value is detected. |
Classes
ngraph.impl.op.Constant wraps ngraph::op::Constant |
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Class containing graph parameters and results. |
ngraph.impl.Node wraps ngraph::Node |
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Factory front-end to create node objects. |
ngraph.impl.op.Parameter wraps ngraph::op::Parameter |
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ngraph.impl.Shape wraps ngraph::Shape |
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Represents an output from a specific iteration. |
Represents an output produced by concatenation of output from each iteration. |
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Represents a TensorIterator graph body input that has invariant value during iteration. |
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Represents a TensorIterator graph body input with initial value in the first iteration. |
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Represents a TensorIterator graph body input formed from slices of TensorIterator input. |
partial(func, *args, **keywords) - new function with partial application of the given arguments and keywords. |
Exceptions
Modules