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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 ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLMATMUL
+#define ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLMATMUL
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/function_info/ActivationLayerInfo.h"
+#include "arm_compute/runtime/IFunction.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+// Forward declarations for used types instead of including their header, that could minimize compile time
+class CLCompileContext;
+class ICLTensor;
+class ITensorInfo;
+class MatMulInfo;
+class Status;
+
+/** Settings for MatMul OpenCL implementation */
+class GpuMatMulSettings
+{
+public:
+ /* Placeholder for operator parity between CPU/GPU */
+};
+
+/** Basic function to execute MatMul (Matrix Multiplication) on OpenCL */
+class CLMatMul : public IFunction
+{
+public:
+ /** Default constructor.*/
+ CLMatMul();
+ /** Default destructor */
+ ~CLMatMul();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLMatMul(const CLMatMul &) = delete;
+ /** Default move constructor */
+ CLMatMul(CLMatMul &&);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLMatMul &operator=(const CLMatMul &) = delete;
+ /** Default move assignment operator */
+ CLMatMul &operator=(CLMatMul &&);
+ /** Initialise the kernel's inputs and output
+ *
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |lhs |rhs |dst |
+ * |:--------------|:--------------|:--------------|
+ * |F32 |F32 |F32 |
+ * |F16 |F16 |F16 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
+ * |QASYMM8 |QASYMM8 |QASYMM8 |
+ *
+ * @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 Left-hand side tensor info containing the input activations as Matrix A. Data types supported: F16/F32/QASYMM8_SIGNED/QASYMM8.
+ * @param[in] rhs Right-hand side tensor info containing the input weights as Matrix B. Data types supported: same as @p lhs.
+ * @param[out] dst Output tensor to store the result of the batched matrix multiplication. Data types supported: same as @p lhs.
+ * @param[in] matmul_info Contains MatMul operation information described in @ref MatMulInfo.
+ * @param[in] settings Contains flags for function level settings
+ * @param[in] act_info (Optional) Contains activation function and lower and upper bound values for bounded activation functions.
+ */
+ void configure(const CLCompileContext &compile_context,
+ ICLTensor *rhs,
+ ICLTensor *lhs,
+ ICLTensor *dst,
+ const MatMulInfo &matmul_info,
+ const GpuMatMulSettings &settings = GpuMatMulSettings{},
+ const ActivationLayerInfo &act_info = ActivationLayerInfo{});
+ /** Initialise the kernel's inputs and output
+ *
+ * Similar to @ref CLMatMul::configure()
+ */
+ void configure(ICLTensor *lhs,
+ ICLTensor *rhs,
+ ICLTensor *dst,
+ const MatMulInfo &matmul_info,
+ const GpuMatMulSettings &settings = GpuMatMulSettings{},
+ const ActivationLayerInfo &act_info = ActivationLayerInfo{});
+ /** Static function to check if given info will lead to a valid configuration of @ref CLMatMul.
+ *
+ *
+ * @note All tensors must have the same data type.
+ *
+ * @param[in] lhs Left-hand side (Matrix A) tensor info. Data types supported: F16/F32/QASYMM8_SIGNED/QASYMM8.
+ * @param[in] rhs Right-hand side (Matrix B) tensor info. Data types supported: same as @p lhs.
+ * @param[out] output Output tensor info to store the result of the batched matrix multiplication. Data types supported: same as @p lhs.
+ * @param[in] matmul_info Contains MatMul operation information described in @ref MatMulInfo.
+ * @param[in] act_info (Optional) Contains activation function and lower and upper bound values for bounded activation functions.
+ */
+ static Status validate(const ITensorInfo *lhs,
+ const ITensorInfo *rhs,
+ const ITensorInfo *output,
+ const MatMulInfo &matmul_info,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo{});
+ // Inherited methods overridden:
+ void run() override;
+
+private:
+ struct Impl;
+ std::unique_ptr<Impl> _impl;
+};
+} // namespace arm_compute
+
+#endif /* ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLMATMUL */