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+/*
+ * Copyright (c) 2016, 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_CLGEMM_H__
+#define __ARM_COMPUTE_CLGEMM_H__
+
+#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/IFunction.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Basic function to execute GEMM on OpenCL. Data types supported: F32, F16. This function calls the following OpenCL kernels:
+ *
+ *  -# @ref CLGEMMInterleave4x4Kernel (if the output tensor is a matrix)
+ *  -# @ref CLGEMMTranspose1xWKernel (if the output tensor is a matrix)
+ *  -# @ref CLGEMMMatrixMultiplyKernel
+ *  -# @ref CLGEMMMatrixAdditionKernel (if c != nullptr and beta != 0.0)
+ *
+ */
+class CLGEMM : public IFunction
+{
+public:
+    /** Default constructor. */
+    CLGEMM();
+    /** Initialise the kernel's inputs and output
+     *
+     * @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C].
+     *
+     * @note All tensors must have the same data type. Data types supported: F32, F16
+     *
+     * @note Whilst the first input tensor can be a vector, the second input tensor must be at least a matrix
+     *
+     * @param[in]  a      First input tensor  (Matrix or Vector A). Data types supported: F32, F16
+     * @param[in]  b      Second input tensor (Matrix B). Data type supported: same as @p a.
+     * @param[in]  c      Third input tensor  (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a.
+     * @param[out] output Output tensor. Data type supported: same as @p a
+     * @param[in]  alpha  Weight of the matrix product
+     * @param[in]  beta   Weight of matrix C
+     */
+    void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, float alpha, float beta);
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    CLGEMMInterleave4x4Kernel  _interleave_kernel;
+    CLGEMMTranspose1xWKernel   _transpose_kernel;
+    CLGEMMMatrixMultiplyKernel _mm_kernel;
+    CLGEMMMatrixAdditionKernel _ma_kernel;
+    CLTensor                   _tmp_a;
+    CLTensor                   _tmp_b;
+    bool                       _run_vector_matrix_multiplication;
+    bool                       _run_addition;
+};
+}
+
+#endif /* __ARM_COMPUTE_CLGEMM_H__ */