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+/*
+ * Copyright (c) 2023 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_SRC_GPU_CL_OPERATORS_ClMatMul
+#define ARM_COMPUTE_SRC_GPU_CL_OPERATORS_ClMatMul
+
+#include "src/gpu/cl/IClOperator.h"
+#include "src/gpu/cl/kernels/ClNativeMatMulKernel.h"
+#include <memory>
+
+namespace arm_compute
+{
+namespace opencl
+{
+/** Basic operator to execute BatchMatMul on OpenCL. This operator calls the following OpenCL kernels:
+ *
+ * -# @ref kernels::ClNativeMatMulKernel
+ */
+class ClMatMul : public IClOperator
+{
+public:
+ /** Constructor */
+ ClMatMul();
+ ~ClMatMul();
+ /** Initialise the kernel's inputs and output
+ *
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |lhs |rhs |output |
+ * |:------------|:------------|:------------|
+ * |F32 |F32 |F32 |
+ * |F16 |F16 |F16 |
+ *
+ * @note BatchMatMul: Batched Matrix Multiply - [A * B], Multiplies all slices (slice is an element of a batch) of Tensors A and B
+ * and stores the result in the dst tensor of the same batch size.
+ * Batch here is number of slices from A and B multiplied at a time, do not confuse with the batch dimension 'N' of NHWC/NCHW
+ * For NHWC for example: the batch is the higher dimensions H * N, and in general it is H * all higher dimensions.
+ * @note All tensors must have the same data type.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] lhs LHS input tensor info (Matrix A). Data types supported: F16/F32
+ * @param[in] rhs RHS input tensor info (Matrix B). Data types supported: same as @p lhs.
+ * @param[out] output Output tensor info. Data types supported: same as @p lhs
+ * @param[in] matmul_info Attributes for MatMul
+ */
+ void configure(const CLCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *output, const MatMulInfo &matmul_info);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref ClMatMul::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *output, const MatMulInfo &matmul_info);
+ // Inherited methods overridden:
+ void run(ITensorPack &tensors) override;
+
+private:
+ std::unique_ptr<kernels::ClNativeMatMulKernel> _native_matmul_kernel;
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif // ARM_COMPUTE_SRC_GPU_CL_OPERATORS_ClMatMul