19 #include "ngraph/node.hpp"
20 #include "ngraph/op/op.hpp"
32 NGRAPH_RTTI_DECLARATION;
53 virtual std::shared_ptr<Node>
54 clone_with_new_inputs(
const OutputVector& new_args)
const override;
56 const HostTensorVector& inputs)
const override;
88 virtual std::shared_ptr<Node>
89 clone_with_new_inputs(
const OutputVector& new_args)
const override;
91 const HostTensorVector& inputs)
const override;
Visits the attributes of a node, primarily for serialization-like tasks.
Definition: attribute_visitor.hpp:71
A handle for one of a node's outputs.
Definition: node_output.hpp:42
Definition: element_type.hpp:61
Root of all actual ops.
Definition: op.hpp:29
Range operation, analogous to range() in Python.
Definition: range.hpp:66
const NodeTypeInfo & get_type_info() const override
Definition: range.hpp:69
void validate_and_infer_types() override
Verifies that attributes and inputs are consistent and computes output shapes and element types....
Range(const Output< Node > &start, const Output< Node > &stop, const Output< Node > &step)
Constructs a range operation.
bool evaluate(const HostTensorVector &outputs, const HostTensorVector &inputs) const override
Evaluates the op on input_values putting results in output_values.
Range()=default
Constructs an unitialized range operation.
Range operation, analogous to arange() in Numpy.
Definition: range.hpp:30
bool evaluate(const HostTensorVector &outputs, const HostTensorVector &inputs) const override
Evaluates the op on input_values putting results in output_values.
Range()=default
Constructs an unitialized range operation.
Range(const Output< Node > &start, const Output< Node > &stop, const Output< Node > &step, element::Type output_type)
Constructs a range operation.
void validate_and_infer_types() override
Verifies that attributes and inputs are consistent and computes output shapes and element types....
The Intel nGraph C++ API.
Definition: attribute_adapter.hpp:28