47 lines
1.4 KiB
C++
47 lines
1.4 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 <memory>
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#include "openvino/op/util/binary_elementwise_arithmetic.hpp"
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namespace ov {
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namespace op {
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namespace v1 {
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/// \brief Elementwise addition operation.
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///
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API Add : public util::BinaryElementwiseArithmetic {
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public:
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OPENVINO_OP("Add", "opset1", util::BinaryElementwiseArithmetic);
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/// \brief Constructs an uninitialized addition operation
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Add() : util::BinaryElementwiseArithmetic(AutoBroadcastType::NUMPY) {}
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/// \brief Constructs an addition operation.
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///
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/// \param arg0 Output that produces the first input tensor.<br>
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/// `[d0, ...]`
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/// \param arg1 Output that produces the second input tensor.<br>
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/// `[d0, ...]`
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/// \param auto_broadcast Auto broadcast specification. Default is Numpy-style
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/// implicit broadcasting.
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///
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/// Output `[d0, ...]`
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///
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Add(const Output<Node>& arg0,
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const Output<Node>& arg1,
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const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY));
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() const override;
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};
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} // namespace v1
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} // namespace op
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} // namespace ov
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