1 /* 2 * Copyright (c) 2016-2022 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CPU_GEMM_TRANSPOSE1xW_KERNEL_H 25 #define ARM_COMPUTE_CPU_GEMM_TRANSPOSE1xW_KERNEL_H 26 27 #include "src/core/common/Macros.h" 28 #include "src/cpu/ICpuKernel.h" 29 30 namespace arm_compute 31 { 32 namespace cpu 33 { 34 namespace kernels 35 { 36 /** Kernel which transposes the elements of a matrix in chunks of 1xW, where W is equal to (16 / element size of the tensor) 37 * 38 * Following an example of how the transposition1xW works when the input data is F32 39 * 40 * @f[ 41 * \left( \begin{array}{cccc} 42 * a00 & a01 & a02 & a03 \\ 43 * a10 & a11 & a12 & a13 \\ 44 * a20 & a21 & a22 & a23 \\ 45 * a30 & a31 & a32 & a33 \\ 46 * \end{array} \right) 47 * \rightarrow 48 * \left( \begin{array}{ccccccccccccccccc} 49 * a00 & a01 & a02 & a03 & a10 & a11 & a12 & a13 & a20 & a21 & a22 & a23 & a30 & a31 & a32 & a33 \\ 50 * \end{array} \right) 51 * @f] 52 * 53 * Following an example of how the transposition1xW works when the input data type is F16 54 * 55 * @f[ 56 * \left( \begin{array}{cccccccc} 57 * a00 & a01 & a02 & a03 & a04 & a05 & a06 & a07 \\ 58 * a10 & a11 & a12 & a13 & a14 & a15 & a16 & a17 \\ 59 * a20 & a21 & a22 & a23 & a24 & a25 & a26 & a27 \\ 60 * a30 & a31 & a32 & a33 & a34 & a35 & a36 & a37 \\ 61 * \end{array} \right) 62 * \rightarrow 63 * \left( \begin{array}{cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc} 64 * a00 & a01 & a02 & a03 & a04 & a05 & a06 & a07 & a10 & a11 & a12 & a13 & a14 & a15 & a16 & a17 & a20 & a21 & a22 & a23 & a24 & a25 & a26 & a27 & a30 & a31 & a32 & a33 & a34 & a35 & a36 & a37\\ 65 * \end{array} \right) 66 * @f] 67 * 68 * @note The output matrix will have the following shape: [ height * W, ceil(width / W) ], where W = (16 / element size of the tensor) 69 * 70 */ 71 class CpuGemmTranspose1xWKernel : public ICpuKernel<CpuGemmTranspose1xWKernel> 72 { 73 public: 74 CpuGemmTranspose1xWKernel() = default; 75 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmTranspose1xWKernel); 76 /** Configure kernel for a given list of arguments 77 * 78 * @param[in] src Input tensor info. Data types supported: All 79 * @param[out] dst Output tensor info. Data type supported: same as @p src. 80 */ 81 void configure(const ITensorInfo *src, ITensorInfo *dst); 82 /** Static function to check if given info will lead to a valid configuration of @ref CpuGemmTranspose1xWKernel 83 * 84 * Similar to @ref CpuGemmTranspose1xWKernel::configure() 85 * 86 * @return a status 87 */ 88 static Status validate(const ITensorInfo *src, const ITensorInfo *dst); 89 90 // Inherited methods overridden: 91 void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; 92 const char *name() const override; 93 }; 94 } // namespace kernels 95 } // namespace cpu 96 } // namespace arm_compute 97 #endif /* ARM_COMPUTE_CPU_GEMM_TRANSPOSE1xW_KERNEL_H */ 98