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