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ANSLibs/OpenVINO/runtime/include/openvino/op/clamp.hpp

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// Copyright (C) 2018-2025 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#pragma once
#include "openvino/op/util/unary_elementwise_arithmetic.hpp"
namespace ov {
namespace op {
namespace v0 {
/// \brief Performs a clipping operation on all elements of the input node
///
/// All input values that are outside of the <min;max> range are set to 'min' or 'max'
/// depending on which side of the <min;max> range they are. The values that fall into
/// this range remain unchanged.
/// \ingroup ov_ops_cpp_api
class OPENVINO_API Clamp : public util::UnaryElementwiseArithmetic {
public:
OPENVINO_OP("Clamp", "opset1", UnaryElementwiseArithmetic);
Clamp() = default;
/// \brief Constructs a Clamp node.
///
/// \param data - Node producing the input tensor
/// \param min - the lower bound of the <min;max> range
/// \param max - the upper bound of the <min;max> range
Clamp(const Output<Node>& data, const double min, const double max);
void validate_and_infer_types() override;
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
bool visit_attributes(AttributeVisitor& visitor) override;
double get_min() const {
return m_min;
}
double get_max() const {
return m_max;
}
void set_min(const double& x) {
m_min = x;
}
void set_max(const double& x) {
m_max = x;
}
bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
bool evaluate_lower(TensorVector& outputs) const override;
bool evaluate_upper(TensorVector& outputs) const override;
bool has_evaluate() const override;
private:
double m_min = 0.0;
double m_max = 0.0;
};
} // namespace v0
} // namespace op
} // namespace ov