Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 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_NEWEIGHTSRESHAPEKERNEL_H__ |
| 25 | #define __ARM_COMPUTE_NEWEIGHTSRESHAPEKERNEL_H__ |
| 26 | |
| 27 | #include "arm_compute/core/NEON/INEKernel.h" |
| 28 | |
| 29 | namespace arm_compute |
| 30 | { |
| 31 | class ITensor; |
| 32 | |
| 33 | /** NEON kernel to perform reshaping on the weights used by convolution and locally connected layer |
| 34 | * |
| 35 | * Rearranges each 3-dimensional kernel to a single row leading to a matrix with linearized kernels. |
| 36 | * In combination with the @ref NEIm2ColKernel can transform a convolution to a matrix multiplication. |
| 37 | * |
| 38 | * For example assuming a 3D weight kernel of 3x3 dimensions and depth of 2 we have: |
| 39 | * @f[ |
| 40 | * \left( \begin{array}{ccc} |
| 41 | * a000 & a001 & a002 \\ |
| 42 | * a010 & a011 & a012 \\ |
| 43 | * a020 & a021 & a022 \\ |
| 44 | * \end{array} \right) |
| 45 | * \left( \begin{array}{ccc} |
| 46 | * a100 & a101 & a102 \\ |
| 47 | * a110 & a111 & a112 \\ |
| 48 | * a120 & a121 & a122 \\ |
| 49 | * \end{array} \right) |
| 50 | * \rightarrow |
| 51 | * \left( \begin{array}{ccccccccc} |
| 52 | * a000 & a001 & a002 & a010 & a011 & a012 & a020 & a021 & a022 & a100 & a101 & a102 & a110 & a111 & a112 & a120 & a121 & a122 \\ |
| 53 | * \end{array} \right) |
| 54 | * @f] |
| 55 | */ |
| 56 | class NEWeightsReshapeKernel : public INEKernel |
| 57 | { |
| 58 | public: |
| 59 | /** Constructor.*/ |
| 60 | NEWeightsReshapeKernel(); |
| 61 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 62 | NEWeightsReshapeKernel(const NEWeightsReshapeKernel &) = delete; |
| 63 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 64 | NEWeightsReshapeKernel &operator=(const NEWeightsReshapeKernel &) = delete; |
| 65 | /** Allow instances of this class to be moved */ |
| 66 | NEWeightsReshapeKernel(NEWeightsReshapeKernel &&) = default; |
| 67 | /** Allow instances of this class to be moved */ |
| 68 | NEWeightsReshapeKernel &operator=(NEWeightsReshapeKernel &&) = default; |
| 69 | /** Default destructor */ |
| 70 | ~NEWeightsReshapeKernel() = default; |
| 71 | /** Set the input and output of the kernel. |
| 72 | * |
| 73 | * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, |
Gian Marco Iodice | 2bbd964 | 2017-07-04 16:46:32 +0100 | [diff] [blame] | 74 | * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QS16/F32 |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 75 | * @param[in] bias The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with |
| 76 | * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input |
| 77 | * @param[out] output The output tensor. Data types supported: Same as @p input |
| 78 | */ |
| 79 | void configure(const ITensor *input, const ITensor *bias, ITensor *output); |
| 80 | |
| 81 | // Inherited methods overridden: |
| 82 | void run(const Window &window) override; |
| 83 | |
| 84 | private: |
| 85 | using WeightsReshapeKernel = void(const ITensor *input, const ITensor *bias, ITensor *output, const Window &window); |
| 86 | |
| 87 | WeightsReshapeKernel *_func; |
| 88 | const ITensor *_input; |
| 89 | const ITensor *_bias; |
| 90 | ITensor *_output; |
| 91 | }; |
| 92 | } |
| 93 | |
| 94 | #endif /*__ARM_COMPUTE_NEWEIGHTSRESHAPEKERNEL_H__ */ |