37 lines
1.3 KiB
C++
37 lines
1.3 KiB
C++
// 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/arithmetic_reductions_keep_dims.hpp"
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namespace ov {
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namespace op {
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namespace v4 {
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/// \brief Reduction operation using L1 norm: L1(x) = sum(abs(x)) if all dimensions are
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/// specified for the normalisation.
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///
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/// Reduces the tensor, eliminating the specified reduction axes by taking the L1-norm.
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API ReduceL1 : public util::ArithmeticReductionKeepDims {
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public:
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OPENVINO_OP("ReduceL1", "opset4", util::ArithmeticReductionKeepDims);
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/// \brief Constructs a reducet L1-norm operation.
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ReduceL1() = default;
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/// \brief Constructs a reduce L1-norm operation.
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///
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/// \param arg The tensor to be reduced.
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/// \param reduction_axes The axis positions (0-based) to be eliminated.
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/// \param keep_dims If set to true it holds axes that are used for reduction.
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ReduceL1(const Output<Node>& arg, const Output<Node>& reduction_axes, bool keep_dims = false);
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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 v4
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} // namespace op
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} // namespace ov
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