38 lines
1.2 KiB
C++
38 lines
1.2 KiB
C++
// Copyright (C) 2018-2025 Intel Corporation
|
|
// SPDX-License-Identifier: Apache-2.0
|
|
//
|
|
|
|
#pragma once
|
|
|
|
#include "openvino/op/util/binary_elementwise_arithmetic.hpp"
|
|
|
|
namespace ov {
|
|
namespace op {
|
|
namespace v1 {
|
|
/// \brief Elementwise minimum operation.
|
|
/// \ingroup ov_ops_cpp_api
|
|
class OPENVINO_API Minimum : public util::BinaryElementwiseArithmetic {
|
|
public:
|
|
OPENVINO_OP("Minimum", "opset1", op::util::BinaryElementwiseArithmetic);
|
|
|
|
/// \brief Constructs a minimum operation.
|
|
Minimum() : util::BinaryElementwiseArithmetic(AutoBroadcastType::NUMPY) {}
|
|
|
|
/// \brief Constructs a minimum operation.
|
|
///
|
|
/// \param arg0 Node that produces the first input tensor.
|
|
/// \param arg1 Node that produces the second input tensor.
|
|
/// \param auto_broadcast Auto broadcast specification
|
|
Minimum(const Output<Node>& arg0,
|
|
const Output<Node>& arg1,
|
|
const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY));
|
|
|
|
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 v1
|
|
} // namespace op
|
|
} // namespace ov
|