Class ov::op::v9::GridSample#
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class GridSample : public ov::op::Op#
Operator performing interpolated sampling of the input tensor.
Public Functions
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GridSample(const Output<Node> &data, const Output<Node> &grid, const Attributes &attributes)#
Constructs a GridSample operation.
- Parameters:
data – Input data tensor (input image)
grid – Normalized interpolation coordinates
attrs – GridSample attributes
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virtual void validate_and_infer_types() override#
Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times.
Throws if the node is invalid.
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virtual bool has_evaluate() const override#
Allows to get information about availability of evaluate method for the current operation.
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struct Attributes#
A Structure which contains all GridSample attributes.
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GridSample(const Output<Node> &data, const Output<Node> &grid, const Attributes &attributes)#