82 lines
3.3 KiB
C++
82 lines
3.3 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 v1 {
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// clang-format off
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/// \brief Tensor sum operation.
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///
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/// Element-wise sums the input tensor, eliminating the specified reduction axes.
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/// For example:
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///
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/// \f[
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/// \mathit{sum}\left(\{0\},
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/// \left[ \begin{array}{ccc}
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/// 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{array} \right]\right) =
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/// \left[ (1 + 3 + 5), (2 + 4 + 6) \right] =
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/// \left[ 9, 12 \right]~~~\text{(dimension 0 (rows) is eliminated)}
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/// \f]
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///
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/// \f[
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/// \mathit{sum}\left(\{1\},
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/// \left[ \begin{array}{ccc}
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/// 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{array} \right]\right) =
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/// \left[ (1 + 2), (3 + 4), (5 + 6) \right] =
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/// \left[ 3, 7, 11 \right]~~~\text{(dimension 1 (columns) is eliminated)}
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/// \f]
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///
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/// \f[
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/// \mathit{sum}\left(\{0,1\},
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/// \left[ \begin{array}{ccc}
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/// 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{array} \right]\right) =
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/// (1 + 2) + (3 + 4) + (5 + 6) =
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/// 21~~~\text{(both dimensions (rows and columns) are eliminated)}
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/// \f]
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///
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/// ## Parameters
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///
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/// | | Description |
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/// | -------------------- | ---------------------------------------- |
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/// | `reduction_axes` | The axes to eliminate through summation. |
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/// | `keep_dims` | If set to 1 it holds axes that are used for reduction. |
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///
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/// ## Inputs
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///
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/// | | Type | Description |
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/// | ----- | --------------------------------- | ------------------------------------------------------ |
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/// | `arg` | \f$N[d_1,\dots,d_n]~(n \geq 0)\f$ | An input tensor of any shape and numeric element type. |
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///
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/// ## Output
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///
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/// | Type | Description |
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/// | ----------------------------------------- | ---------------------------------------------------------------------------------------------------------------- |
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/// | \f$N[\textit{delete}(A,d_1,\dots,d_n)]\f$ | The tensor \f$T\f$, where \f$T\f$ is the input tensor with the `reduction_axes` \f$A\f$ eliminated by summation. |
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/// \ingroup ov_ops_cpp_api
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// clang-format on
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class OPENVINO_API ReduceSum : public util::ArithmeticReductionKeepDims {
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public:
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OPENVINO_OP("ReduceSum", "opset1", util::ArithmeticReductionKeepDims);
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/// \brief Constructs a summation operation.
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ReduceSum() = default;
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/// \brief Constructs a summation operation.
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///
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/// \param arg The tensor to be summed.
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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 1 it holds axes that are used for reduction.
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ReduceSum(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 v1
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} // namespace op
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} // namespace ov
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