82 lines
2.9 KiB
C++
82 lines
2.9 KiB
C++
|
// Copyright (C) 2018-2025 Intel Corporation
|
||
|
|
// SPDX-License-Identifier: Apache-2.0
|
||
|
|
//
|
||
|
|
|
||
|
|
#pragma once
|
||
|
|
|
||
|
|
#include "openvino/op/op.hpp"
|
||
|
|
|
||
|
|
namespace ov {
|
||
|
|
namespace op {
|
||
|
|
namespace v4 {
|
||
|
|
/// \brief Range operation, analogous to `arange()` in Numpy.
|
||
|
|
/// \ingroup ov_ops_cpp_api
|
||
|
|
class OPENVINO_API Range : public Op {
|
||
|
|
public:
|
||
|
|
OPENVINO_OP("Range", "opset4", op::Op);
|
||
|
|
/// \brief Constructs an unitialized range operation.
|
||
|
|
Range() = default;
|
||
|
|
|
||
|
|
/// \brief Constructs a range operation.
|
||
|
|
///
|
||
|
|
/// \param start The tensor producing the start value. Must be a scalar of numeric
|
||
|
|
/// element type.
|
||
|
|
/// \param stop The tensor producing the stop value. Must be a scalar of numeric
|
||
|
|
/// element type.
|
||
|
|
/// \param step The tensor producing the step value. Must be a scalar of numeric
|
||
|
|
/// element type.
|
||
|
|
/// \param output_type The type of the output.
|
||
|
|
Range(const Output<Node>& start, const Output<Node>& stop, const Output<Node>& step, element::Type output_type);
|
||
|
|
|
||
|
|
bool visit_attributes(AttributeVisitor& visitor) override;
|
||
|
|
void validate_and_infer_types() override;
|
||
|
|
|
||
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
||
|
|
bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
|
||
|
|
bool has_evaluate() const override;
|
||
|
|
void set_output_type(element::Type output_type) {
|
||
|
|
m_output_type = output_type;
|
||
|
|
}
|
||
|
|
|
||
|
|
const element::Type& get_output_type() const {
|
||
|
|
return m_output_type;
|
||
|
|
}
|
||
|
|
|
||
|
|
// Overload collision with method on Node
|
||
|
|
using Node::set_output_type;
|
||
|
|
|
||
|
|
private:
|
||
|
|
element::Type m_output_type;
|
||
|
|
};
|
||
|
|
} // namespace v4
|
||
|
|
namespace v0 {
|
||
|
|
/// \brief Range operation, analogous to `range()` in Python.
|
||
|
|
/// \ingroup ov_ops_cpp_api
|
||
|
|
class OPENVINO_API Range : public Op {
|
||
|
|
public:
|
||
|
|
OPENVINO_OP("Range", "opset1");
|
||
|
|
|
||
|
|
/// \brief Constructs an unitialized range operation.
|
||
|
|
Range() = default;
|
||
|
|
|
||
|
|
/// \brief Constructs a range operation.
|
||
|
|
///
|
||
|
|
/// \param start The tensor producing the start value. Must be a scalar of integer
|
||
|
|
/// element type, and same element type as `stop` and `step`.
|
||
|
|
/// \param stop The tensor producing the stop value. Must be a scalar of integer
|
||
|
|
/// element type, and same element type as `start` and `step`.
|
||
|
|
/// \param step The tensor producing the step value. Must be a scalar of integer
|
||
|
|
/// element type, and same element type as `start` and `stop`.
|
||
|
|
Range(const Output<Node>& start, const Output<Node>& stop, const Output<Node>& step);
|
||
|
|
|
||
|
|
bool visit_attributes(AttributeVisitor& visitor) override;
|
||
|
|
void validate_and_infer_types() override;
|
||
|
|
|
||
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
||
|
|
bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
|
||
|
|
bool has_evaluate() const override;
|
||
|
|
};
|
||
|
|
} // namespace v0
|
||
|
|
} // namespace op
|
||
|
|
} // namespace ov
|