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+/*
+ * Copyright (c) 2017-2022,2024 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ACL_SRC_CPU_KERNELS_CPUGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H
+#define ACL_SRC_CPU_KERNELS_CPUGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/cpu/ICpuKernel.h"
+
+#include <cstdint>
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+/** Kernel used to add the offset contribution after @ref CpuGemmLowpMatrixMultiplyKernel. The computation is performed in-place
+ *
+ * This kernel takes a final int32 accumulator value (the output of @ref CpuGemmLowpMatrixMultiplyKernel),
+ * and adds to it the offset contribution of matrix A and matrix B in-place.
+ *
+ * The final result is:
+ *
+ * mm_result[i][k] = mm_result[i][k] +
+ * (vector_sum_col[k] * a_offset) +
+ * (vector_sum_row[i] * b_offset) +
+ * (a_offset * b_offset * k)
+ *
+ */
+class CpuGemmLowpOffsetContributionKernel : public ICpuKernel<CpuGemmLowpOffsetContributionKernel>
+{
+public:
+ /** Default constructor */
+ CpuGemmLowpOffsetContributionKernel() = default;
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpOffsetContributionKernel);
+ /** Initialise the kernel's input and output.
+ *
+ * @param[in, out] mm_result Input tensor containing the result of @ref CpuGemmLowpMatrixMultiplyKernel. Data type supported: S32
+ * @param[in] vector_sum_col Input row-vector of sums of all the entries in each column of matrix B.
+ * Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as @p mm_result
+ * @param[in] vector_sum_row Input row-vector of sums of all the entries in each row of matrix A.
+ * Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as @p mm_result
+ * @param[in] k Number of matrix A columns or Matrix B rows
+ * @param[in] a_offset Offset to be added to each element of the matrix A.
+ * @param[in] b_offset Offset to be added to each element of the matrix B.
+ * @param[in] scale (Optional) multiplies the contribution to make it the same scale as the dst in the case where mm_result is float
+ * (and so has already been scaled). Default is 1.0
+ */
+ void configure(ITensorInfo *mm_result,
+ ITensorInfo *vector_sum_col,
+ ITensorInfo *vector_sum_row,
+ int32_t k,
+ int32_t a_offset,
+ int32_t b_offset,
+ float scale = 1.0f);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to CpuGemmLowpOffsetContributionKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *mm_result,
+ const ITensorInfo *vector_sum_col,
+ const ITensorInfo *vector_sum_row,
+ int32_t a_offset,
+ int32_t b_offset);
+
+ /** Set the a offset
+ * Warning: if a_offset is non-zero then vector_sum_col must be set in run_op.
+ * Run configure or validate again if you aren't sure
+ *
+ * @param[in] a_offset Offset to be added to each element of the matrix A.
+ */
+ void set_a_offset(int32_t a_offset);
+
+ /** Set the b offset
+ * Warning: if b_offset is non-zero then vector_sum_row must be set in run_op.
+ * Run configure or validate again if you aren't sure
+ *
+ * @param[in] b_offset Offset to be added to each element of the matrix B.
+ */
+ void set_b_offset(int32_t b_offset);
+
+ /** Set the dequantize scale
+ *
+ * @param[in] scale Multiplies the contribution to make it the same scale as the dst in the case where
+ * mm_result is float (and so has already been scaled).
+ */
+ void set_scale(float scale);
+
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
+ const char *name() const override;
+
+private:
+ int32_t _a_offset{0};
+ int32_t _b_offset{0};
+ int32_t _k{0}; // Number of columns of A or rows of B, used in last offset term
+ float _scale{1.0};
+ bool _slide_vector_sum_col{true};
+};
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute
+#endif // ACL_SRC_CPU_KERNELS_CPUGEMMLOWPOFFSETCONTRIBUTIONKERNEL_H