1 /* 2 * Copyright (c) 2017-2022 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_WEIGHTSRESHAPE_KERNEL_H 25 #define ARM_COMPUTE_CPU_WEIGHTSRESHAPE_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 to perform reshaping on the weights used by convolution and locally connected layer 37 * 38 * Rearranges each 3-dimensional kernel to a single row leading to a matrix with linearized kernels. 39 * In combination with the @ref cpu::kernels::CpuIm2ColKernel can transform a convolution to a matrix multiplication. 40 * 41 * For example assuming a 3D weight kernel of 3x3 dimensions and depth of 2 we have: 42 * @f[ 43 * \left( \begin{array}{ccc} 44 * a000 & a001 & a002 \\ 45 * a010 & a011 & a012 \\ 46 * a020 & a021 & a022 \\ 47 * \end{array} \right) 48 * \left( \begin{array}{ccc} 49 * a100 & a101 & a102 \\ 50 * a110 & a111 & a112 \\ 51 * a120 & a121 & a122 \\ 52 * \end{array} \right) 53 * \rightarrow 54 * \left( \begin{array}{ccccccccc} 55 * a000 & a001 & a002 & a010 & a011 & a012 & a020 & a021 & a022 & a100 & a101 & a102 & a110 & a111 & a112 & a120 & a121 & a122 \\ 56 * \end{array} \right) 57 * @f] 58 */ 59 class CpuWeightsReshapeKernel : public ICpuKernel<CpuWeightsReshapeKernel> 60 { 61 public: 62 /** Default constructor */ 63 CpuWeightsReshapeKernel() = default; 64 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuWeightsReshapeKernel); 65 /** Set the input and output of the kernel. 66 * 67 * @param[in] src The input tensor info to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, 68 * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. 69 * Data types supported: All 70 * @param[in] biases The shared biases tensor info to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with 71 * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input 72 * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. 73 * @param[out] dst The output tensor info. Data types supported: Same as @p src 74 */ 75 void configure(const ITensorInfo *src, const ITensorInfo *biases, ITensorInfo *dst); 76 /** Static function to check if given info will lead to a valid configuration 77 * 78 * Similar to CpuWeightsReshapeKernel::configure() 79 * 80 * @return a status 81 */ 82 static Status validate(const ITensorInfo *src, const ITensorInfo *biases, const ITensorInfo *dst); 83 84 // Inherited methods overridden: 85 void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; 86 const char *name() const override; 87 }; 88 } // namespace kernels 89 } // namespace cpu 90 } // namespace arm_compute 91 #endif /* ARM_COMPUTE_CPU_WEIGHTSRESHAPE_KERNEL_H */ 92