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+/*
+ * Copyright (c) 2018-2021, 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_SRC_GPU_CL_KERNELS_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H
+#define ACL_SRC_GPU_CL_KERNELS_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H
+
+#include "arm_compute/core/KernelDescriptors.h"
+
+#include "src/core/common/Macros.h"
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/IClKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+/** OpenCL kernel to multiply matrices when both the input matrices LHS (src0) and RHS (src1) have been reshaped
+ *
+ * @note The input matrices @p src0 and @p src1 must be reshaped through:
+ * - @ref ClGemmReshapeLhsMatrixKernel
+ * - @ref ClGemmReshapeRhsMatrixKernel
+ */
+class ClGemmMatrixMultiplyReshapedKernel : public IClKernel
+{
+public:
+ ClGemmMatrixMultiplyReshapedKernel();
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClGemmMatrixMultiplyReshapedKernel);
+ /** Initialise the kernel's input and output.
+ *
+ * @note The F16 computation also supports mixed precision through the gemm_info.fp_mixed_precision flag.
+ * Mixed precision combines different floating precisions during the computation, in particular, F32 for the accumulations and F16 for the
+ * multiplications. i.e. float c = (half)a * (half)b
+ *
+ * @note If rhs_info.export_to_cl_image = true, this OpenCL kernel will fetch the RHS data using the OpenCL read_image built-in function.
+ * Reading from the OpenCL image object can increase the performance. However, since the OpenCL image object is created importing the OpenCL buffer,
+ * the following conditions are required:
+ * -# rhs_info.n0 can only be 4, 8 and 16
+ * -# rhs_info.k0 can only be 4, 8 and 16
+ * -# Data type can only be F32
+ * -# The platform should support the OpenCL cl_khr_image2d_from_buffer extension
+ * -# The stride Y for the src1 should satisfy the OpenCL pitch alignment requirement
+ * -# src1 width should be less or equal to (CL_DEVICE_IMAGE2D_MAX_WIDTH * 4)
+ * -# src1 (height * depth) should be less or equal to CL_DEVICE_IMAGE2D_MAX_HEIGHT
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src0 Input tensor containing the LHS reshaped matrix. Data type supported: F16/F32 (only F32 if rhs_info.export_to_cl_image = true). The number of dimensions for the LHS matrix must be less or equal than 4
+ * @param[in] src1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p src0. The number of dimensions for the RHS matrix must be less or equal than 3
+ * @param[in] src2 Input tensor containing the bias matrix. Data type supported: same as @p src0.
+ * @param[out] dst dst tensor to store the result of matrix multiplication. Data type supported: same as @p src0
+ * @param[in] alpha Weight of the matrix product
+ * @param[in] beta Weight of the matrix bias
+ * @param[in] lhs_info LHS matrix information used for reshaping the src0 tensor. Only the following values are supported:
+ * lhs_info.m0: 2,3,4,5,6,7,8
+ * lhs_info.k0: 2,3,4,8,16
+ * lhs_info.transpose: false
+ * @param[in] rhs_info RHS matrix information used for reshaping the src1 tensor. Only the following values are supported:
+ * rhs_info.n0: 2,3,4,8,16 (only 4, 8 and 16 if rhs_info.export_to_cl_image = true)
+ * rhs_info.k0: 2,3,4,8,16 (only 4, 8 and 16 if rhs_info.export_to_cl_image = true)
+ * rhs_info.transpose: true
+ * @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices
+ *
+ * @note lhs_info.k0 must be equal to rhs_info.k0
+ */
+ void configure(const ClCompileContext &compile_context,
+ const ITensorInfo *src0,
+ const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ ITensorInfo *dst,
+ float alpha,
+ float beta,
+ const GEMMLHSMatrixInfo &lhs_info,
+ const GEMMRHSMatrixInfo &rhs_info,
+ const GEMMKernelInfo &gemm_info);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref ClGemmMatrixMultiplyReshapedKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src0,
+ const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ float alpha,
+ float beta,
+ const GEMMLHSMatrixInfo &lhs_info,
+ const GEMMRHSMatrixInfo &rhs_info,
+ const GEMMKernelInfo &gemm_info);
+
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ bool _slide_matrix_b{true};
+ bool _reinterpret_output_as_3d{false};
+ bool _use_dummy_work_items{false};
+ bool _add_bias{false};
+ bool _export_to_cl_image{false};
+ signed int _m{1};
+ signed int _n{1};
+ signed int _k{1};
+};
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute
+#endif // ACL_SRC_GPU_CL_KERNELS_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H