1 /* 2 * Copyright (c) 2017-2020 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 25 #ifndef ARM_COMPUTE_GCCONVOLUTIONLAYER_H 26 #define ARM_COMPUTE_GCCONVOLUTIONLAYER_H 27 28 #include "arm_compute/core/GLES_COMPUTE/kernels/GCCol2ImKernel.h" 29 #include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h" 30 #include "arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h" 31 #include "arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h" 32 #include "arm_compute/core/Types.h" 33 #include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" 34 #include "arm_compute/runtime/GLES_COMPUTE/functions/GCActivationLayer.h" 35 #include "arm_compute/runtime/GLES_COMPUTE/functions/GCGEMM.h" 36 #include "arm_compute/runtime/IFunction.h" 37 #include "arm_compute/runtime/MemoryGroup.h" 38 39 #include <memory> 40 41 namespace arm_compute 42 { 43 class IGCTensor; 44 45 /** Function to reshape and transpose the weights. This function calls the following kernels: 46 * -# @ref GCWeightsReshapeKernel 47 * 48 * @deprecated This function is deprecated and is intended to be removed in 21.05 release 49 * 50 */ 51 class GCConvolutionLayerReshapeWeights : public IFunction 52 { 53 public: 54 /** Constructor */ 55 GCConvolutionLayerReshapeWeights(); 56 /** Set the input and output tensors. 57 * 58 * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. 59 * Data type supported: F16/F32. 60 * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. 61 * @param[out] output Destination tensor. Data types supported: Same as @p weights. 62 */ 63 void configure(const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output); 64 // Inherited methods overridden: 65 void run() override; 66 67 private: 68 GCWeightsReshapeKernel _weights_reshape_kernel; 69 }; 70 71 /** Basic function to compute the convolution layer. This function calls the following GLES kernels: 72 * 73 * -# @ref GCWeightsReshapeKernel (executed only once for each configuration) 74 * -# @ref GCGEMMTranspose1xWKernel (executed only once for each configuration) 75 * -# @ref GCIm2ColKernel 76 * -# @ref GCGEMMInterleave4x4Kernel 77 * -# @ref GCCol2ImKernel 78 * 79 * @deprecated This function is deprecated and is intended to be removed in 21.05 release 80 * 81 */ 82 class GCConvolutionLayer : public IFunction 83 { 84 public: 85 /** Default constructor */ 86 GCConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); 87 /** Prevent instances of this class from being copied (As this class contains pointers) */ 88 GCConvolutionLayer(const GCConvolutionLayer &) = delete; 89 /** Default move constructor */ 90 GCConvolutionLayer(GCConvolutionLayer &&) = default; 91 /** Prevent instances of this class from being copied (As this class contains pointers) */ 92 GCConvolutionLayer &operator=(const GCConvolutionLayer &) = delete; 93 /** Default move assignment operator */ 94 GCConvolutionLayer &operator=(GCConvolutionLayer &&) = default; 95 /** Set the input and output tensors. 96 * 97 * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], 98 * while every optional dimension from 4 and above represent a batch of inputs. 99 * Data types supported: F16/F32. 100 * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. 101 * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. 102 * Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. 103 * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. 104 * Data types supported: Same as @p input. 105 * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. 106 * @param[in] weights_info Specifies if the weights tensor has been reshaped with GCWeightsReshapeKernel. If this is not part of the fully connected layer the weights 107 * tensor has also been transposed with GCGEMMTranspose1xWKernel. Data type supported: Same as @p input. 108 * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). 109 * @param[in] act_info (Optional) Activation layer information in case of a fused activation. 110 * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is not supported 111 */ 112 void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info, 113 const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), unsigned int num_groups = 1); 114 115 // Inherited methods overridden: 116 void run() override; 117 void prepare() override; 118 119 private: 120 /** Configures the appropriate matrix multiply routine 121 * 122 * @param input Input tensor. Data types supported: F16/F32. 123 * @param weights Weights tensor. Data type supported: Same as @p input. 124 * @param output Output tensor. Data types supported: Same as @p input, 125 */ 126 void configure_mm(const IGCTensor *input, const IGCTensor *weights, IGCTensor *output); 127 /** Static function to check if given info will lead to a valid configuration of @ref GCGEMMConvolutionLayer matrix multiply routines 128 * 129 * @param[in] input Input tensor. Data types supported: QASYMM8/F16/F32. 130 * @param[in] weights Weights tensor. Data type supported: Same as @p input. 131 * @param[in] output Output tensor. Data types supported: Same as @p input, 132 * except for input of QASYMM8 type where output should be of S32 type. 133 * 134 * @return a status 135 */ 136 static Status validate_mm(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output); 137 138 private: 139 MemoryGroup _memory_group; 140 GCConvolutionLayerReshapeWeights _reshape_weights; 141 GCIm2ColKernel _input_im2col_kernel; 142 GCGEMM _mm_gemm; 143 GCCol2ImKernel _output_col2im_kernel; 144 GCFillBorderKernel _fill_border; 145 GCActivationLayer _activationlayer_function; 146 147 const IGCTensor *_original_weights; 148 149 GCTensor _input_im2col_reshaped; 150 GCTensor _input_interleaved_reshaped; 151 GCTensor _weights_reshaped; 152 GCTensor _weights_transposed; 153 GCTensor _gemm_output; 154 GCTensor _tmp_output; 155 156 bool _is_activationlayer_enabled; 157 bool _is_prepared; 158 }; 159 } 160 161 #endif /* ARM_COMPUTE_GCCONVOLUTIONLAYER_H */ 162