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+/*
+ * Copyright (c) 2017 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 __ARM_COMPUTE_NEGEMMLOWP_H__
+#define __ARM_COMPUTE_NEGEMMLOWP_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/Tensor.h"
+
+#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** Basic function to execute GEMMLowp on NEON. This function calls the following NEON kernels:
+*
+* -# @ref NEGEMMInterleave4x4Kernel
+* -# @ref NEGEMMTranspose1xWKernel
+* -# @ref NEGEMMLowpMatrixMultiplyKernel
+*
+*/
+class NEGEMMLowp : public IFunction
+{
+public:
+ /** Constructor */
+ NEGEMMLowp();
+ /** Initialise the kernel's inputs, output
+ *
+ * @note GEMM_LOWP: low precision GEMM kernel
+ * This kernel performs the following computation:
+ *
+ * -# Convert a values from uint8 to int32 and add a_offset to each of them.
+ * -# Convert b values from uint8 to int32 and add b_offset to each of them.
+ * -# Compute the int32 matrix product of the resulting a * b.
+ * -# Add output_offset to each entry of the result.
+ * -# Multiply each entry of the result and round to the nearest integer
+ * -# Clamp the resulting int32 values to the [0..255] range and cast to uint8.
+ *
+ * @param[in] a First input tensor (Matrix A). Data type supported: U8.
+ * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a
+ * @param[out] output Output tensor. Data type supported: same as @p a.
+ * @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] output_offset Offset to be added to each element of the output matrix
+ * @param[in] output_mult_int Value to be multiplied to each element of the output matrix
+ * @param[in] shift Number of bits to shift right the result.
+ */
+ void configure(const ITensor *a, const ITensor *b, ITensor *output, int32_t a_offset, int32_t b_offset, int32_t output_offset, int32_t output_mult_int, int32_t shift);
+ // Inherited methods overridden:
+ void run() override;
+
+private:
+ NEGEMMInterleave4x4Kernel _interleave_kernel;
+ NEGEMMTranspose1xWKernel _transpose_kernel;
+ NEGEMMLowpMatrixMultiplyKernel _mm_kernel;
+ Tensor _tmp_a;
+ Tensor _tmp_b;
+};
+}
+#endif /*__ARM_COMPUTE_NEGEMMLOWP_H__ */