Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2020 Arm Limited. |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 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 | */ |
Georgios Pinitas | 9fb1159 | 2018-04-26 20:34:58 +0100 | [diff] [blame] | 24 | #include "arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h" |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 25 | |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 26 | #include "arm_compute/core/CPP/Validate.h" |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 27 | #include "arm_compute/core/Error.h" |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 28 | #include "arm_compute/core/Utils.h" |
| 29 | #include "arm_compute/core/Validate.h" |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 30 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 31 | #include "arm_compute/runtime/NEON/NEScheduler.h" |
Anthony Barbier | 71d9b57 | 2018-07-06 17:05:59 +0100 | [diff] [blame] | 32 | #include "arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h" |
Michele Di Giorgio | 6ad60af | 2020-06-09 14:52:15 +0100 | [diff] [blame] | 33 | #include "src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.h" |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 34 | #include "support/MemorySupport.h" |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 35 | |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 36 | #include "arm_compute/core/NEON/kernels/convolution/common/utils.hpp" |
Michele Di Giorgio | 6ad60af | 2020-06-09 14:52:15 +0100 | [diff] [blame] | 37 | #include "src/core/NEON/kernels/convolution/winograd/winograd.hpp" |
Pablo Tello | d6ca478 | 2018-01-23 09:36:04 +0000 | [diff] [blame] | 38 | |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 39 | namespace arm_compute |
| 40 | { |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 41 | namespace |
| 42 | { |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 43 | inline Status validate_kernel_3x3(const Size2D input_dims, const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 44 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 45 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 46 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); |
| 47 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); |
| 48 | |
| 49 | if(input->data_type() == DataType::F32) |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 50 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 51 | if(input_dims.width > 4 && input_dims.height > 4) |
| 52 | { |
| 53 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 4, 4, 3, 3>::validate(input, input0, winograd_info))); |
| 54 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 4, 4, 3, 3>::validate(weights, input1, winograd_info))); |
| 55 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 4, 4, 3, 3>::validate(batched_mm_output, biases, output, winograd_info))); |
| 56 | } |
| 57 | else |
| 58 | { |
| 59 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 2, 2, 3, 3>::validate(input, input0, winograd_info))); |
| 60 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 2, 2, 3, 3>::validate(weights, input1, winograd_info))); |
| 61 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 2, 2, 3, 3>::validate(batched_mm_output, biases, output, winograd_info))); |
| 62 | } |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 63 | } |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 64 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
SiCong Li | 6b6a16f | 2020-05-28 08:55:51 +0100 | [diff] [blame] | 65 | else if(input->data_type() == DataType::F16) |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 66 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 67 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<__fp16, 4, 4, 3, 3>::validate(input, input0, winograd_info))); |
| 68 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<__fp16, 4, 4, 3, 3>::validate(weights, input1, winograd_info))); |
| 69 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<__fp16, 4, 4, 3, 3>::validate(batched_mm_output, biases, output, winograd_info))); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 70 | } |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 71 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 72 | |
| 73 | if(act_info.enabled()) |
| 74 | { |
| 75 | NEActivationLayer::validate(output, nullptr, act_info); |
| 76 | } |
| 77 | return Status{}; |
| 78 | } |
| 79 | |
| 80 | inline Status validate_kernel_5x5(const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 81 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 82 | { |
| 83 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 2, 2, 5, 5>::validate(input, input0, winograd_info))); |
| 84 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 2, 2, 5, 5>::validate(weights, input1, winograd_info))); |
| 85 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 2, 2, 5, 5>::validate(batched_mm_output, biases, output, winograd_info))); |
| 86 | if(act_info.enabled()) |
| 87 | { |
| 88 | NEActivationLayer::validate(output, nullptr, act_info); |
| 89 | } |
| 90 | return Status{}; |
| 91 | } |
| 92 | |
| 93 | inline Status validate_kernel_3x1(const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 94 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 95 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 96 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 97 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 1, 6, 1, 3>::validate(input, input0, winograd_info))); |
| 98 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 1, 6, 1, 3>::validate(weights, input1, winograd_info))); |
| 99 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 1, 6, 1, 3>::validate(batched_mm_output, biases, output, winograd_info))); |
| 100 | if(act_info.enabled()) |
| 101 | { |
| 102 | NEActivationLayer::validate(output, nullptr, act_info); |
| 103 | } |
| 104 | return Status{}; |
| 105 | } |
| 106 | |
| 107 | inline Status validate_kernel_1x3(const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 108 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 109 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 110 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 111 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 6, 1, 3, 1>::validate(input, input0, winograd_info))); |
| 112 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 6, 1, 3, 1>::validate(weights, input1, winograd_info))); |
| 113 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 6, 1, 3, 1>::validate(batched_mm_output, biases, output, winograd_info))); |
| 114 | |
| 115 | if(act_info.enabled()) |
| 116 | { |
| 117 | NEActivationLayer::validate(output, nullptr, act_info); |
| 118 | } |
| 119 | return Status{}; |
| 120 | } |
| 121 | |
| 122 | inline Status validate_kernel_5x1(const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 123 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 124 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 125 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 126 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 1, 4, 1, 5>::validate(input, input0, winograd_info))); |
| 127 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 1, 4, 1, 5>::validate(weights, input1, winograd_info))); |
| 128 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 1, 4, 1, 5>::validate(batched_mm_output, biases, output, winograd_info))); |
| 129 | if(act_info.enabled()) |
| 130 | { |
| 131 | NEActivationLayer::validate(output, nullptr, act_info); |
| 132 | } |
| 133 | return Status{}; |
| 134 | } |
| 135 | inline Status validate_kernel_1x5(const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 136 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 137 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 138 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 139 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 4, 1, 5, 1>::validate(input, input0, winograd_info))); |
| 140 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 4, 1, 5, 1>::validate(weights, input1, winograd_info))); |
| 141 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 4, 1, 5, 1>::validate(batched_mm_output, biases, output, winograd_info))); |
| 142 | if(act_info.enabled()) |
| 143 | { |
| 144 | NEActivationLayer::validate(output, nullptr, act_info); |
| 145 | } |
| 146 | return Status{}; |
| 147 | } |
| 148 | |
| 149 | inline Status validate_kernel_7x1(const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 150 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 151 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 152 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 153 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 1, 2, 1, 7>::validate(input, input0, winograd_info))); |
| 154 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 1, 2, 1, 7>::validate(weights, input1, winograd_info))); |
| 155 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 1, 2, 1, 7>::validate(batched_mm_output, biases, output, winograd_info))); |
| 156 | if(act_info.enabled()) |
| 157 | { |
| 158 | NEActivationLayer::validate(output, nullptr, act_info); |
| 159 | } |
| 160 | return Status{}; |
| 161 | } |
| 162 | |
| 163 | inline Status validate_kernel_1x7(const ITensorInfo *input, const TensorInfo *input0, const TensorInfo *input1, const TensorInfo *batched_mm_output, |
| 164 | const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info) |
| 165 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 166 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 167 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformInputKernel<float, 2, 1, 7, 1>::validate(input, input0, winograd_info))); |
| 168 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformWeightsKernel<float, 2, 1, 7, 1>::validate(weights, input1, winograd_info))); |
| 169 | ARM_COMPUTE_RETURN_ON_ERROR((NEWinogradLayerTransformOutputKernel<float, 2, 1, 7, 1>::validate(batched_mm_output, biases, output, winograd_info))); |
| 170 | |
| 171 | if(act_info.enabled()) |
| 172 | { |
| 173 | NEActivationLayer::validate(output, nullptr, act_info); |
| 174 | } |
| 175 | return Status{}; |
| 176 | } |
| 177 | |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 178 | inline Tensor4DShape internal_get_input_shape(const arm_compute::ITensor *input) |
| 179 | { |
| 180 | const DataLayout data_layout = input->info()->data_layout(); |
| 181 | const int in_width = input->info()->dimension(get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH)); |
| 182 | const int in_height = input->info()->dimension(get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT)); |
| 183 | const int in_channels = input->info()->dimension(get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL)); |
| 184 | const int in_batches = input->info()->dimension(3); |
| 185 | |
Michalis Spyrou | a4f378d | 2019-04-26 14:54:54 +0100 | [diff] [blame] | 186 | return Tensor4DShape{ in_batches, in_height, in_width, in_channels }; |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 187 | } |
| 188 | |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 189 | Status validate_arguments(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info) |
| 190 | { |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 191 | ARM_COMPUTE_UNUSED(output); |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 192 | ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| 193 | |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 194 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.stride().first != 1 || conv_info.stride().second != 1, "Winograd layer only supports unit strides."); |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 195 | if(biases != nullptr) |
| 196 | { |
| 197 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases); |
| 198 | ARM_COMPUTE_RETURN_ERROR_ON(biases->num_dimensions() > 1); |
| 199 | } |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 200 | return INEWinogradLayerTransformWeightsKernel::validate(input, weights); |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 201 | } |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 202 | |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 203 | Size2D winograd_output_tile(const Size2D &input_dims, const Size2D &kernel_dims, DataType data_type) |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 204 | { |
| 205 | Size2D output_tile = Size2D{}; |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 206 | if(kernel_dims == Size2D(3U, 3U)) |
| 207 | { |
giuros01 | f44fe3d | 2019-08-14 16:49:27 +0100 | [diff] [blame] | 208 | output_tile = (input_dims.width <= 4 || input_dims.height <= 4) ? Size2D(2U, 2U) : Size2D(4U, 4U); |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 209 | if(data_type == DataType::F16) |
| 210 | { |
| 211 | output_tile = Size2D(4U, 4U); |
| 212 | } |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 213 | } |
| 214 | else if(kernel_dims == Size2D(5U, 5U)) |
| 215 | { |
| 216 | output_tile = Size2D(2U, 2U); |
| 217 | } |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 218 | else if(kernel_dims == Size2D(1U, 3U)) |
| 219 | { |
| 220 | output_tile = Size2D(1U, 6U); |
| 221 | } |
| 222 | else if(kernel_dims == Size2D(3U, 1U)) |
| 223 | { |
| 224 | output_tile = Size2D(6U, 1U); |
| 225 | } |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 226 | else if(kernel_dims == Size2D(1U, 5U)) |
| 227 | { |
| 228 | output_tile = Size2D(1U, 4U); |
| 229 | } |
| 230 | else if(kernel_dims == Size2D(5U, 1U)) |
| 231 | { |
| 232 | output_tile = Size2D(4U, 1U); |
| 233 | } |
| 234 | else if(kernel_dims == Size2D(7U, 1U)) |
| 235 | { |
| 236 | output_tile = Size2D(2U, 1U); |
| 237 | } |
| 238 | else if(kernel_dims == Size2D(1U, 7U)) |
| 239 | { |
| 240 | output_tile = Size2D(1U, 2U); |
| 241 | } |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 242 | return output_tile; |
| 243 | } |
| 244 | |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 245 | bool check_support_fast_math(const Size2D &output_tile, const Size2D &kernel_size, DataType data_type) |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 246 | { |
| 247 | // Check if we want to configure a Winograd configuration which requires fast math |
| 248 | using WinogradConfiguration = std::pair<std::pair<int, int>, std::pair<int, int>>; |
| 249 | |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 250 | const std::vector<WinogradConfiguration> fast_math_winograd_f16 = |
| 251 | { |
| 252 | WinogradConfiguration(std::pair<int, int>(4, 4), std::pair<int, int>(3, 3)) |
| 253 | }; |
| 254 | |
| 255 | const std::vector<WinogradConfiguration> fast_math_winograd_f32 = |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 256 | { |
| 257 | WinogradConfiguration(std::pair<int, int>(2, 2), std::pair<int, int>(5, 5)), |
| 258 | WinogradConfiguration(std::pair<int, int>(4, 4), std::pair<int, int>(5, 5)) |
| 259 | }; |
| 260 | |
| 261 | auto p = std::make_pair(std::pair<int, int>(output_tile.width, output_tile.height), |
| 262 | std::pair<int, int>(kernel_size.width, kernel_size.height)); |
| 263 | |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 264 | switch(data_type) |
| 265 | { |
| 266 | case DataType::F16: |
| 267 | return std::find(fast_math_winograd_f16.begin(), fast_math_winograd_f16.end(), p) != fast_math_winograd_f16.end(); |
| 268 | case DataType::F32: |
| 269 | return std::find(fast_math_winograd_f32.begin(), fast_math_winograd_f32.end(), p) != fast_math_winograd_f32.end(); |
| 270 | default: |
| 271 | return false; |
| 272 | } |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 273 | } |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 274 | |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 275 | inline bool fuse_function_supported(const ActivationLayerInfo &act_info) |
| 276 | { |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 277 | return act_info.activation() == ActivationLayerInfo::ActivationFunction::RELU || act_info.activation() == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU; |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 278 | } |
| 279 | |
| 280 | arm_gemm::Activation arm_gemm_activation_from_acl_activation(const ActivationLayerInfo &act_info) |
| 281 | { |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 282 | switch(act_info.activation()) |
| 283 | { |
| 284 | case ActivationLayerInfo::ActivationFunction::RELU: |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 285 | { |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 286 | return arm_gemm::Activation(arm_gemm::Activation::Type::ReLU, act_info.a(), act_info.b()); |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 287 | } |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 288 | case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: |
| 289 | { |
| 290 | return arm_gemm::Activation(arm_gemm::Activation::Type::BoundedReLU, act_info.a(), act_info.b()); |
| 291 | } |
| 292 | default: |
| 293 | { |
| 294 | return arm_gemm::Activation(arm_gemm::Activation::Type::None); |
| 295 | } |
| 296 | } |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 297 | } |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 298 | } //namespace |
| 299 | |
Michalis Spyrou | a4f378d | 2019-04-26 14:54:54 +0100 | [diff] [blame] | 300 | NEWinogradConvolutionLayer::NEWinogradConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager) |
Pablo Tello | a518f30 | 2018-09-19 11:33:03 +0100 | [diff] [blame] | 301 | : _memory_group(memory_manager), _gemm_function(memory_manager), _transform_input_kernel(nullptr), _transform_output_kernel(nullptr), _transform_weights_kernel(nullptr), _activationlayer_function(), |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 302 | _permute_input(), _permute_weights(), _permute_output(), _input_transformed(), _output_transformed(), _input_workspace(), _output_workspace(), _kernel_storage(), _input_nhwc(), _output_nhwc(), |
| 303 | _weights_hwio(), _input(), _weights(), _output(), _is_prepared(false), _is_activationlayer_enabled(false) |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 304 | { |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 305 | } |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 306 | |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 307 | void NEWinogradConvolutionLayer::configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info, |
| 308 | bool enable_fast_math) |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 309 | { |
Andrew Mundy | 4d9379a | 2018-03-15 16:47:03 +0000 | [diff] [blame] | 310 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); |
Andrew Mundy | 4d9379a | 2018-03-15 16:47:03 +0000 | [diff] [blame] | 311 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info)); |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 312 | |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 313 | // Get indices for the width and height |
| 314 | const DataLayout data_layout = input->info()->data_layout(); |
| 315 | const unsigned int width_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| 316 | const unsigned int height_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| 317 | const unsigned int channel_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); |
| 318 | |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 319 | const Size2D input_dims = Size2D(input->info()->dimension(width_idx), input->info()->dimension(height_idx)); |
| 320 | const Size2D kernel_size = Size2D(weights->info()->dimension(width_idx), weights->info()->dimension(height_idx)); |
| 321 | const DataType data_type = input->info()->data_type(); |
| 322 | const Size2D output_tile = winograd_output_tile(input_dims, kernel_size, data_type); |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 323 | |
| 324 | // Check if the Winograd configuration requires fast math |
| 325 | if(!enable_fast_math) |
| 326 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 327 | ARM_COMPUTE_ERROR_ON_MSG(check_support_fast_math(output_tile, kernel_size, data_type), |
| 328 | "This Winograd configuration requires enable_fast_math=true"); |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 329 | } |
| 330 | |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 331 | _weights = weights; |
| 332 | _input = input; |
| 333 | _output = output; |
| 334 | _is_prepared = false; |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 335 | |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 336 | int n_gemms = 0; |
| 337 | int N_BLOCK = 0; // Size of block used by GEMM. |
Michalis Spyrou | 2b3129e | 2018-04-25 18:10:13 +0100 | [diff] [blame] | 338 | |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 339 | std::unique_ptr<INEWinogradLayerTransformInputKernel> transform_input_kernel; |
| 340 | std::unique_ptr<INEWinogradLayerTransformWeightsKernel> transform_weights_kernel; |
| 341 | std::unique_ptr<INEWinogradLayerTransformOutputKernel> transform_output_kernel; |
| 342 | |
| 343 | if(data_type == DataType::F32) |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 344 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 345 | if(kernel_size == Size2D(3, 3)) |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 346 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 347 | if(input->info()->dimension(width_idx) > 4 && input->info()->dimension(height_idx) > 4) |
| 348 | { |
| 349 | using config = NEWinogradLayerConfiguration<float, float, 4, 4, 3, 3>; |
| 350 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 351 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 352 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 353 | n_gemms = config::WinogradBase::N_GEMMS; |
| 354 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 355 | } |
| 356 | else |
| 357 | { |
| 358 | using config = NEWinogradLayerConfiguration<float, float, 2, 2, 3, 3>; |
| 359 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 360 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 361 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 362 | n_gemms = config::WinogradBase::N_GEMMS; |
| 363 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 364 | } |
| 365 | } |
| 366 | else if(kernel_size == Size2D(5, 5)) |
| 367 | { |
| 368 | using config = NEWinogradLayerConfiguration<float, float, 2, 2, 5, 5>; |
| 369 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 370 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 371 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 372 | n_gemms = config::WinogradBase::N_GEMMS; |
| 373 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 374 | } |
| 375 | else if(kernel_size == Size2D(1, 3)) |
| 376 | { |
| 377 | using config = NEWinogradLayerConfiguration<float, float, 6, 1, 3, 1>; |
| 378 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 379 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 380 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 381 | n_gemms = config::WinogradBase::N_GEMMS; |
| 382 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 383 | } |
| 384 | else if(kernel_size == Size2D(3, 1)) |
| 385 | { |
| 386 | using config = NEWinogradLayerConfiguration<float, float, 1, 6, 1, 3>; |
| 387 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 388 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 389 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 390 | n_gemms = config::WinogradBase::N_GEMMS; |
| 391 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 392 | } |
| 393 | else if(kernel_size == Size2D(1, 5)) |
| 394 | { |
| 395 | using config = NEWinogradLayerConfiguration<float, float, 4, 1, 5, 1>; |
| 396 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 397 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 398 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 399 | n_gemms = config::WinogradBase::N_GEMMS; |
| 400 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 401 | } |
| 402 | else if(kernel_size == Size2D(5, 1)) |
| 403 | { |
| 404 | using config = NEWinogradLayerConfiguration<float, float, 1, 4, 1, 5>; |
| 405 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 406 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 407 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 408 | n_gemms = config::WinogradBase::N_GEMMS; |
| 409 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 410 | } |
| 411 | else if(kernel_size == Size2D(1, 7)) |
| 412 | { |
| 413 | using config = NEWinogradLayerConfiguration<float, float, 2, 1, 7, 1>; |
| 414 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 415 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 416 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 417 | n_gemms = config::WinogradBase::N_GEMMS; |
| 418 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 419 | } |
| 420 | else if(kernel_size == Size2D(7, 1)) |
| 421 | { |
| 422 | using config = NEWinogradLayerConfiguration<float, float, 1, 2, 1, 7>; |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 423 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 424 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 425 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 426 | n_gemms = config::WinogradBase::N_GEMMS; |
| 427 | N_BLOCK = config::WinogradConv::N_BLOCK; |
| 428 | } |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 429 | else |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 430 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 431 | ARM_COMPUTE_ERROR("Not supported."); |
| 432 | } |
| 433 | } |
| 434 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 435 | else if(data_type == DataType::F16) |
| 436 | { |
| 437 | if(kernel_size == Size2D(3, 3)) |
| 438 | { |
| 439 | using config = NEWinogradLayerConfiguration<__fp16, __fp16, 4, 4, 3, 3>; |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 440 | transform_input_kernel = support::cpp14::make_unique<config::TransformInputKernel>(); |
| 441 | transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>(); |
| 442 | transform_output_kernel = support::cpp14::make_unique<config::TransformOutputKernel>(); |
| 443 | n_gemms = config::WinogradBase::N_GEMMS; |
| 444 | N_BLOCK = config::WinogradConv::N_BLOCK; |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 445 | } |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 446 | else |
| 447 | { |
| 448 | ARM_COMPUTE_ERROR("Not supported."); |
| 449 | } |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 450 | } |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 451 | #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 452 | |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 453 | const PaddingType use_padding_type = (conv_info.pad_top() != 0u || conv_info.pad_left() != 0) ? PADDING_SAME : PADDING_VALID; |
Pablo Tello | 679463a | 2018-02-06 11:47:59 +0000 | [diff] [blame] | 454 | const bool use_same_padding = use_padding_type == PADDING_SAME; |
| 455 | |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 456 | // Get convolved dimensions |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 457 | const int in_channels = input->info()->dimension(channel_idx); |
| 458 | const int out_channels = output->info()->dimension(channel_idx); |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 459 | |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 460 | const Tensor4DShape in_shape(internal_get_input_shape(input)); |
Pablo Tello | d6ca478 | 2018-01-23 09:36:04 +0000 | [diff] [blame] | 461 | const size_t data_type_size = input->info()->element_size(); |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 462 | // Get the memory required to instantiate a new Winograd operator. |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 463 | constexpr size_t storage_alignment = 64; |
| 464 | |
| 465 | // Kernel Storage |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 466 | const size_t kernel_storage_size = transform_weights_kernel->get_weight_storage_size(out_channels, |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 467 | in_channels) |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 468 | * data_type_size; |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 469 | |
Pablo Tello | 9ceebbe | 2018-01-10 16:44:13 +0000 | [diff] [blame] | 470 | // Input storage |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 471 | const size_t input_storage_size = transform_input_kernel->get_input_storage_size(in_shape.n_batches, in_shape.n_channels, in_shape.n_rows, in_shape.n_cols, |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 472 | use_same_padding) |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 473 | * data_type_size; |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 474 | |
Pablo Tello | 9ceebbe | 2018-01-10 16:44:13 +0000 | [diff] [blame] | 475 | // Output storage |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 476 | const size_t output_storage_size = transform_output_kernel->get_output_storage_size(in_shape.n_batches, in_shape.n_rows, in_shape.n_cols, out_channels) * data_type_size; |
| 477 | const int kernel_matrix_stride = transform_weights_kernel->get_matrix_stride(out_channels, in_channels); |
| 478 | const int output_matrix_stride = transform_output_kernel->get_matrix_stride(in_shape.n_batches, in_shape.n_rows, in_shape.n_cols, out_channels); |
| 479 | const auto output_shape = transform_output_kernel->get_output_shape(in_shape.n_rows, in_shape.n_cols, use_padding_type == PADDING_SAME); |
| 480 | const int input_matrix_stride = transform_input_kernel->get_matrix_stride(in_shape.n_batches, in_channels, in_shape.n_rows, in_shape.n_cols, use_padding_type == PADDING_SAME); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 481 | |
| 482 | // Configure GEMM |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 483 | const int tile_rows = iceildiv(output_shape.first, output_tile.height); |
| 484 | const int tile_cols = iceildiv(output_shape.second, output_tile.width); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 485 | const int m = in_shape.n_batches * tile_rows * tile_cols; |
| 486 | const int k = in_shape.n_channels; |
| 487 | const int n = out_channels; |
| 488 | const int kernel_matrix_row_stride = roundup(out_channels, N_BLOCK); |
| 489 | const int output_matrix_row_stride = kernel_matrix_row_stride; |
| 490 | |
| 491 | TensorShape a_shape(k, m, 1, n_gemms); |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 492 | Strides a_strides(data_type_size); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 493 | a_strides.set(1, a_strides[0] * k); |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 494 | //a_strides.set(2, data_type_size * input_matrix_stride / n_gemms); FIXME: This is the real batch size, but RSH's code crashes if it's not 0. |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 495 | a_strides.set(2, 0); |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 496 | a_strides.set(3, data_type_size * input_matrix_stride); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 497 | |
| 498 | TensorShape b_shape(n, k, n_gemms); |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 499 | Strides b_strides(data_type_size); |
| 500 | b_strides.set(1, data_type_size * kernel_matrix_row_stride); |
| 501 | b_strides.set(2, data_type_size * kernel_matrix_stride); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 502 | |
| 503 | TensorShape d_shape(n, m, 1, n_gemms); |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 504 | Strides d_strides(data_type_size); |
| 505 | d_strides.set(1, data_type_size * output_matrix_row_stride); |
| 506 | //d_strides.set(2, data_type_size * output_matrix_stride / n_gemms); FIXME: This is the real batch size, but RSH's code crashes if it's not 0. |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 507 | d_strides.set(2, 0); |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 508 | d_strides.set(3, data_type_size * output_matrix_stride); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 509 | |
Michalis Spyrou | a4f378d | 2019-04-26 14:54:54 +0100 | [diff] [blame] | 510 | TensorInfo a_info{}; |
| 511 | TensorInfo b_info{}; |
| 512 | TensorInfo d_info{}; |
Anthony Barbier | e155337 | 2018-07-16 18:53:52 +0100 | [diff] [blame] | 513 | a_info.init(a_shape, 1, data_type, a_strides, 0, input_storage_size); |
| 514 | b_info.init(b_shape, 1, data_type, b_strides, 0, kernel_storage_size); |
| 515 | d_info.init(d_shape, 1, data_type, d_strides, 0, output_storage_size); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 516 | |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 517 | _input_transformed.allocator()->init(a_info, storage_alignment); |
Anthony Barbier | 578225e | 2018-07-16 18:00:11 +0100 | [diff] [blame] | 518 | _kernel_storage.allocator()->init(b_info, storage_alignment); |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 519 | _output_transformed.allocator()->init(d_info, storage_alignment); |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 520 | |
Pablo Tello | 9ceebbe | 2018-01-10 16:44:13 +0000 | [diff] [blame] | 521 | // configure and allocate dst tensor to be used to convert from winograd domain to spatial domain when calling to reshape_output() |
| 522 | TensorInfo info(TensorShape(_output->info()->dimension(2), _output->info()->dimension(0), |
| 523 | _output->info()->dimension(1), _output->info()->dimension(3)), |
| 524 | 1, _output->info()->data_type()); |
| 525 | _output_nhwc.allocator()->init(info); |
Pablo Tello | 02541fb | 2017-12-15 09:48:59 +0000 | [diff] [blame] | 526 | |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 527 | const ITensor *input_to_use = _input; |
| 528 | ITensor *output_to_use = _output; |
| 529 | PermutationVector weights_permutation_vector(3U, 0U, 1U, 2U); |
| 530 | const unsigned int max_num_threads = NEScheduler::get().num_threads(); |
Pablo Tello | f718ce2 | 2018-10-29 13:13:23 +0000 | [diff] [blame] | 531 | |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 532 | // Configure the kernel to transform the input tensor from NCHW -> NHWC |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 533 | if(data_layout == DataLayout::NCHW) |
| 534 | { |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 535 | _memory_group.manage(&_input_nhwc); |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 536 | _permute_input.configure(input, &_input_nhwc, PermutationVector(2U, 0U, 1U)); |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 537 | input_to_use = &_input_nhwc; |
| 538 | weights_permutation_vector = PermutationVector(3U, 2U, 0U, 1U); |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 539 | } |
Pablo Tello | 9ceebbe | 2018-01-10 16:44:13 +0000 | [diff] [blame] | 540 | |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 541 | // Configure input transform kernel |
| 542 | _memory_group.manage(&_input_transformed); |
| 543 | _memory_group.manage(&_input_workspace); |
| 544 | transform_input_kernel->configure(input_to_use, in_shape.n_batches, in_shape.n_rows, in_shape.n_cols, in_shape.n_channels, use_padding_type, |
| 545 | &_input_transformed, input_matrix_stride, &_input_workspace); |
| 546 | const size_t input_workspace_size = transform_input_kernel->get_working_space_size(max_num_threads); |
| 547 | TensorInfo input_workspace_info(TensorShape(input_workspace_size), 1, _input->info()->data_type()); |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 548 | _input_workspace.allocator()->init(input_workspace_info); |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 549 | _input_workspace.allocator()->allocate(); |
| 550 | if(data_layout == DataLayout::NCHW) |
| 551 | { |
| 552 | _input_nhwc.allocator()->allocate(); |
| 553 | } |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 554 | |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 555 | // Re-order a weight tensor from [Output feature map x Input feature map x Height x Width] to [Height x Width x Input feature map x Output feature map] |
| 556 | _permute_weights.configure(weights, &_weights_hwio, weights_permutation_vector); |
| 557 | transform_weights_kernel->configure(&_weights_hwio, &_kernel_storage, kernel_matrix_stride, out_channels, in_channels); |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 558 | |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 559 | // Configure GEMM function |
| 560 | _memory_group.manage(&_output_transformed); |
Pablo Tello | 8f43d74 | 2019-03-27 09:28:32 +0000 | [diff] [blame] | 561 | _gemm_function.configure(&_input_transformed, &_kernel_storage, nullptr, &_output_transformed, 1.0f, 0.f); |
| 562 | _input_transformed.allocator()->allocate(); |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 563 | |
| 564 | // Configure output transform function |
| 565 | // The biases tensor has not been allocated at this point in time, the output transform will add the biases to the final result in the run() method |
| 566 | if(data_layout == DataLayout::NCHW) |
| 567 | { |
| 568 | _memory_group.manage(&_output_nhwc); |
| 569 | output_to_use = &_output_nhwc; |
| 570 | } |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 571 | const arm_gemm::Activation activation = arm_gemm_activation_from_acl_activation(act_info); |
Pablo Tello | 5264b7d | 2019-10-21 14:25:41 +0100 | [diff] [blame] | 572 | |
| 573 | transform_output_kernel->configure(biases, |
| 574 | &_output_transformed, |
| 575 | output_matrix_stride, |
| 576 | output_to_use, |
| 577 | in_shape.n_batches, |
| 578 | output_shape.first, |
| 579 | output_shape.second, |
| 580 | out_channels, |
| 581 | &_output_workspace, |
| 582 | activation); |
| 583 | |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 584 | const size_t output_workspace_size = transform_output_kernel->get_working_space_size(max_num_threads); |
| 585 | TensorInfo output_workspace_info(TensorShape(output_workspace_size), 1, _output->info()->data_type()); |
| 586 | _output_workspace.allocator()->init(output_workspace_info); |
Anthony Barbier | 20394d5 | 2018-08-02 11:29:09 +0100 | [diff] [blame] | 587 | _output_workspace.allocator()->allocate(); |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 588 | _output_transformed.allocator()->allocate(); |
Pablo Tello | 52140b4 | 2018-01-30 14:48:11 +0000 | [diff] [blame] | 589 | |
Pablo Tello | 9ceebbe | 2018-01-10 16:44:13 +0000 | [diff] [blame] | 590 | // Reorder the convoluted output to ACL's ordering NCHW |
Georgios Pinitas | ca1250d | 2018-11-22 19:38:27 +0000 | [diff] [blame] | 591 | if(data_layout == DataLayout::NCHW) |
| 592 | { |
| 593 | _permute_output.configure(&_output_nhwc, _output, PermutationVector(1U, 2U, 0U)); |
| 594 | _output_nhwc.allocator()->allocate(); |
| 595 | } |
Anthony Barbier | 20394d5 | 2018-08-02 11:29:09 +0100 | [diff] [blame] | 596 | |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 597 | _transform_input_kernel = std::move(transform_input_kernel); |
| 598 | _transform_weights_kernel = std::move(transform_weights_kernel); |
| 599 | _transform_output_kernel = std::move(transform_output_kernel); |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 600 | |
| 601 | //Configure Activation Layer |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 602 | _is_activationlayer_enabled = act_info.enabled() && !fuse_function_supported(act_info); |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 603 | if(_is_activationlayer_enabled) |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 604 | { |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 605 | _activationlayer_function.configure(_output, nullptr, act_info); |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 606 | } |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 607 | } |
| 608 | |
Georgios Pinitas | 9fb1159 | 2018-04-26 20:34:58 +0100 | [diff] [blame] | 609 | void NEWinogradConvolutionLayer::run() |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 610 | { |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 611 | const DataLayout data_layout = _input->info()->data_layout(); |
| 612 | |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 613 | prepare(); |
| 614 | |
Georgios Pinitas | da953f2 | 2019-04-02 17:27:03 +0100 | [diff] [blame] | 615 | MemoryGroupResourceScope scope_mg(_memory_group); |
Pablo Tello | 679463a | 2018-02-06 11:47:59 +0000 | [diff] [blame] | 616 | |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 617 | if(data_layout == DataLayout::NCHW) |
| 618 | { |
| 619 | //Bring channels to the front as Winograd code expects the tensor to be in the format NHWC |
| 620 | _permute_input.run(); |
| 621 | } |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 622 | |
Pablo Tello | 9ceebbe | 2018-01-10 16:44:13 +0000 | [diff] [blame] | 623 | // Transform input tensor to the winograd domain |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 624 | NEScheduler::get().schedule(_transform_input_kernel.get(), Window::DimX); |
Pablo Tello | d6ca478 | 2018-01-23 09:36:04 +0000 | [diff] [blame] | 625 | |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 626 | //Run 16 GEMMs in multiple threads, each kernel runs one or more GEMMs |
Pablo Tello | a518f30 | 2018-09-19 11:33:03 +0100 | [diff] [blame] | 627 | _gemm_function.run(); |
Georgios Pinitas | 7179837 | 2019-04-17 13:01:54 +0100 | [diff] [blame] | 628 | |
Pablo Tello | 9ceebbe | 2018-01-10 16:44:13 +0000 | [diff] [blame] | 629 | // Transform output tensor to the spatial domain |
Pablo Tello | f6c572c | 2018-02-14 12:47:30 +0000 | [diff] [blame] | 630 | NEScheduler::get().schedule(_transform_output_kernel.get(), Window::DimX); |
Pablo Tello | d6ca478 | 2018-01-23 09:36:04 +0000 | [diff] [blame] | 631 | |
Pablo Tello | 7df2786 | 2018-05-30 11:44:26 +0100 | [diff] [blame] | 632 | if(data_layout == DataLayout::NCHW) |
| 633 | { |
| 634 | // Reorder the convoluted output to ACL's ordering NCHW |
| 635 | _permute_output.run(); |
| 636 | } |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 637 | |
Matthew Bentham | 9204646 | 2020-03-07 22:15:55 +0000 | [diff] [blame] | 638 | if(_is_activationlayer_enabled) |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 639 | { |
| 640 | _activationlayer_function.run(); |
| 641 | } |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 642 | } |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 643 | |
Georgios Pinitas | 9fb1159 | 2018-04-26 20:34:58 +0100 | [diff] [blame] | 644 | Status NEWinogradConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 645 | const ActivationLayerInfo &act_info, bool enable_fast_math) |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 646 | { |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 647 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 648 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, weights, biases, output, conv_info)); |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 649 | |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 650 | // Get indices for the width and height |
| 651 | const size_t idx_width = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::WIDTH); |
| 652 | const size_t idx_height = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::HEIGHT); |
| 653 | |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 654 | // Input shape, kernel size and output tile |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 655 | const Size2D input_dims = Size2D(input->dimension(idx_width), input->dimension(idx_height)); |
| 656 | const Size2D kernel_size = Size2D(weights->dimension(idx_width), weights->dimension(idx_height)); |
| 657 | const DataType data_type = input->data_type(); |
| 658 | const Size2D output_tile = winograd_output_tile(input_dims, kernel_size, data_type); |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 659 | |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 660 | // Check if the Winograd configuration requires fast math |
| 661 | if(!enable_fast_math) |
| 662 | { |
Georgios Pinitas | 5ce897f | 2020-04-29 11:44:10 +0100 | [diff] [blame] | 663 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(check_support_fast_math(output_tile, kernel_size, data_type), |
| 664 | "This Winograd configuration requires enable_fast_math=true"); |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 665 | } |
Vidhya Sudhan Loganathan | cb0010b | 2018-05-11 16:23:53 +0100 | [diff] [blame] | 666 | |
| 667 | const WinogradInfo winograd_info = WinogradInfo(output_tile, |
Giorgio Arena | a3221e6 | 2018-05-03 15:57:48 +0100 | [diff] [blame] | 668 | kernel_size, |
| 669 | input_dims, |
Vidhya Sudhan Loganathan | 84ce1f9 | 2018-04-25 13:00:09 +0100 | [diff] [blame] | 670 | conv_info, |
| 671 | input->data_layout()); |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 672 | |
| 673 | // Validate input transform |
Vidhya Sudhan Loganathan | 84ce1f9 | 2018-04-25 13:00:09 +0100 | [diff] [blame] | 674 | const TensorShape input0_shape = misc::shape_calculator::compute_winograd_input_transform_shape(*input, winograd_info); |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 675 | const TensorInfo input0 = input->clone()->set_tensor_shape(input0_shape); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 676 | // Validate filter transform |
| 677 | const TensorShape input1_shape = misc::shape_calculator::compute_winograd_filter_transform_shape(*weights, winograd_info); |
| 678 | const TensorInfo input1 = weights->clone()->set_tensor_shape(input1_shape); |
| 679 | // Validate batched matrix multiply |
| 680 | TensorShape batched_mm_output_shape = input0.tensor_shape(); |
| 681 | batched_mm_output_shape[0] = input1.tensor_shape()[0]; |
| 682 | const TensorInfo batched_mm_output = input0.clone()->set_tensor_shape(batched_mm_output_shape); |
Pablo Tello | 7282d56 | 2018-06-14 15:35:49 +0100 | [diff] [blame] | 683 | |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 684 | if(kernel_size == Size2D(3, 3)) |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 685 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 686 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_top() != 1, "Only SAME or VALID padding supported"); |
| 687 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_bottom() != 0u && conv_info.pad_bottom() != 1, "Only SAME or VALID padding supported"); |
| 688 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_left() != 1, "Only SAME or VALID padding supported"); |
| 689 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_right() != 0u && conv_info.pad_right() != 1, "Only SAME or VALID padding supported"); |
| 690 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_right() != conv_info.pad_left(), "Only SAME or VALID padding supported"); |
| 691 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != conv_info.pad_bottom(), "Only SAME or VALID padding supported"); |
| 692 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != conv_info.pad_left(), "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 693 | return validate_kernel_3x3(input_dims, input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
| 694 | } |
| 695 | else if(kernel_size == Size2D(5, 5)) |
| 696 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 697 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_top() != 2, "Only SAME or VALID padding supported"); |
| 698 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_left() != 2, "Only SAME or VALID padding supported"); |
| 699 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_bottom() != 0u && conv_info.pad_bottom() != 2, "Only SAME or VALID padding supported"); |
| 700 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_right() != 0u && conv_info.pad_right() != 2, "Only SAME or VALID padding supported"); |
| 701 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_right() != conv_info.pad_left(), "Only SAME or VALID padding supported"); |
| 702 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != conv_info.pad_bottom(), "Only SAME or VALID padding supported"); |
| 703 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != conv_info.pad_left(), "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 704 | return validate_kernel_5x5(input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
| 705 | } |
| 706 | if(kernel_size == Size2D(3, 1)) |
| 707 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 708 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_left() != 1, "Only SAME or VALID padding supported"); |
| 709 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_right() != 0u && conv_info.pad_right() != 1, "Only SAME or VALID padding supported"); |
| 710 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_bottom() != 0, "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 711 | return validate_kernel_3x1(input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
| 712 | } |
| 713 | else if(kernel_size == Size2D(1, 3)) |
| 714 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 715 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_top() != 1, "Only SAME or VALID padding supported"); |
| 716 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_bottom() != 0u && conv_info.pad_bottom() != 1, "Only SAME or VALID padding supported"); |
| 717 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_right() != 0, "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 718 | return validate_kernel_1x3(input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
| 719 | } |
| 720 | else if(kernel_size == Size2D(5, 1)) |
| 721 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 722 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_left() != 2, "Only SAME or VALID padding supported"); |
| 723 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_right() != 0u && conv_info.pad_right() != 2, "Only SAME or VALID padding supported"); |
| 724 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_bottom() != 0, "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 725 | return validate_kernel_5x1(input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
| 726 | } |
| 727 | else if(kernel_size == Size2D(1, 5)) |
| 728 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 729 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_top() != 2, "Only SAME or VALID padding supported"); |
| 730 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_bottom() != 0u && conv_info.pad_bottom() != 2, "Only SAME or VALID padding supported"); |
| 731 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_right() != 0, "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 732 | return validate_kernel_1x5(input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
| 733 | } |
| 734 | else if(kernel_size == Size2D(7, 1)) |
| 735 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 736 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_left() != 3, "Only SAME or VALID padding supported"); |
| 737 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_right() != 0u && conv_info.pad_right() != 3, "Only SAME or VALID padding supported"); |
| 738 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_bottom() != 0, "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 739 | return validate_kernel_7x1(input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
| 740 | } |
| 741 | else if(kernel_size == Size2D(1, 7)) |
| 742 | { |
Pablo Tello | fe4b05f | 2018-09-24 16:28:25 +0100 | [diff] [blame] | 743 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_top() != 0u && conv_info.pad_top() != 3, "Only SAME or VALID padding supported"); |
| 744 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_bottom() != 0u && conv_info.pad_bottom() != 3, "Only SAME or VALID padding supported"); |
| 745 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.pad_left() != 0u && conv_info.pad_right() != 0, "Only SAME or VALID padding supported"); |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 746 | return validate_kernel_1x7(input, &input0, &input1, &batched_mm_output, weights, biases, output, winograd_info, act_info); |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 747 | } |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 748 | else |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 749 | { |
Pablo Tello | 000d33a | 2018-09-03 16:59:20 +0100 | [diff] [blame] | 750 | ARM_COMPUTE_RETURN_ERROR_MSG("Kernel shape not supported"); |
Vidhya Sudhan Loganathan | 3ca9786 | 2018-04-23 08:20:04 +0100 | [diff] [blame] | 751 | } |
Isabella Gottardi | 6acc6ad | 2018-02-02 17:19:18 +0000 | [diff] [blame] | 752 | } |
| 753 | |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 754 | void NEWinogradConvolutionLayer::prepare() |
| 755 | { |
| 756 | if(!_is_prepared) |
| 757 | { |
| 758 | // Permute weights |
Georgios Pinitas | ca1250d | 2018-11-22 19:38:27 +0000 | [diff] [blame] | 759 | _weights_hwio.allocator()->allocate(); |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 760 | _permute_weights.run(); |
| 761 | _weights->mark_as_unused(); |
| 762 | |
| 763 | // Transform weights |
Georgios Pinitas | ca1250d | 2018-11-22 19:38:27 +0000 | [diff] [blame] | 764 | _kernel_storage.allocator()->allocate(); |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 765 | NEScheduler::get().schedule(_transform_weights_kernel.get(), Window::DimX); |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 766 | |
Pablo Tello | bda6e4b | 2018-08-22 11:40:33 +0100 | [diff] [blame] | 767 | _weights_hwio.allocator()->free(); |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 768 | _is_prepared = true; |
| 769 | } |
| 770 | } |
Pablo Tello | 8951933 | 2017-11-17 11:52:36 +0000 | [diff] [blame] | 771 | } // namespace arm_compute |