Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2020 Arm Limited. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [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 | */ |
| 24 | #include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h" |
| 25 | |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 26 | #include "arm_compute/core/Helpers.h" |
Gian Marco Iodice | 13edbff | 2017-06-26 17:20:16 +0100 | [diff] [blame] | 27 | #include "arm_compute/core/Size2D.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 28 | #include "arm_compute/core/Validate.h" |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 29 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 30 | #include "arm_compute/core/utils/quantization/AsymmHelpers.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 31 | #include "arm_compute/runtime/NEON/NEScheduler.h" |
Michalis Spyrou | ebcebf1 | 2020-10-21 00:04:14 +0100 | [diff] [blame] | 32 | #include "src/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.h" |
| 33 | #include "src/core/NEON/kernels/NEConvertQuantizedSignednessKernel.h" |
Michalis Spyrou | ebcebf1 | 2020-10-21 00:04:14 +0100 | [diff] [blame] | 34 | #include "src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h" |
| 35 | #include "src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.h" |
| 36 | #include "src/core/NEON/kernels/NEGEMMLowpOffsetContributionKernel.h" |
| 37 | #include "src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.h" |
| 38 | #include "src/core/NEON/kernels/NEGEMMLowpReductionKernel.h" |
| 39 | #include "src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h" |
| 40 | #include "src/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h" |
| 41 | #include "src/core/NEON/kernels/NEGEMMTranspose1xWKernel.h" |
| 42 | #include "src/core/NEON/kernels/NETransposeKernel.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 43 | |
| 44 | #include <algorithm> |
| 45 | #include <cmath> |
| 46 | |
Michele Di Giorgio | f29d1b7 | 2019-10-29 10:58:13 +0000 | [diff] [blame] | 47 | namespace arm_compute |
| 48 | { |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 49 | using namespace arm_compute::misc::shape_calculator; |
| 50 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 51 | namespace |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 52 | { |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 53 | // Get min, max bound of a quantized assymetric output tensor, with the effect of fused activation |
| 54 | std::pair<PixelValue, PixelValue> get_quantized_asymmetric_output_min_max(const QuantizationInfo &q_info, const ActivationLayerInfo &act_info, DataType data_type) |
| 55 | { |
| 56 | PixelValue type_min{}; |
| 57 | PixelValue type_max{}; |
| 58 | std::tie(type_min, type_max) = get_min_max(data_type); |
| 59 | const UniformQuantizationInfo q_unif = q_info.uniform(); |
| 60 | |
| 61 | if(act_info.enabled()) |
| 62 | { |
| 63 | switch(act_info.activation()) |
| 64 | { |
| 65 | case ActivationLayerInfo::ActivationFunction::RELU: |
| 66 | type_min = PixelValue(q_unif.offset); |
| 67 | break; |
| 68 | case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: |
| 69 | type_min = PixelValue(q_unif.offset); |
| 70 | type_max = PixelValue(act_info.a(), data_type, q_info); |
| 71 | break; |
| 72 | case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: |
| 73 | type_min = PixelValue(act_info.b(), data_type, q_info); |
| 74 | type_max = PixelValue(act_info.a(), data_type, q_info); |
| 75 | break; |
| 76 | default: |
| 77 | ARM_COMPUTE_ERROR("Activation function not supported."); |
| 78 | break; |
| 79 | } |
| 80 | } |
| 81 | |
| 82 | return std::make_pair(type_min, type_max); |
| 83 | } |
| 84 | |
| 85 | Status get_gemmlowp_output_stage_info(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const ActivationLayerInfo &act, |
| 86 | GEMMLowpOutputStageInfo &gemmlowp_output_stage_info) |
| 87 | { |
| 88 | const auto data_type = input->data_type(); |
| 89 | const QuantizationInfo oq_info = output->quantization_info(); |
| 90 | const UniformQuantizationInfo iq_unif = input->quantization_info().uniform(); |
| 91 | const UniformQuantizationInfo wq_unif = weights->quantization_info().uniform(); |
| 92 | const UniformQuantizationInfo oq_unif = oq_info.uniform(); |
| 93 | |
| 94 | float multiplier = (iq_unif.scale * wq_unif.scale) / oq_unif.scale; |
| 95 | int32_t output_multiplier; |
| 96 | int32_t output_shift; |
| 97 | |
| 98 | ARM_COMPUTE_RETURN_ON_ERROR(quantization::calculate_quantized_multiplier(multiplier, &output_multiplier, &output_shift)); |
| 99 | |
| 100 | PixelValue type_min{}; |
| 101 | PixelValue type_max{}; |
| 102 | std::tie(type_min, type_max) = get_quantized_asymmetric_output_min_max(oq_info, act, data_type); |
| 103 | |
| 104 | gemmlowp_output_stage_info.gemmlowp_multiplier = output_multiplier; |
| 105 | gemmlowp_output_stage_info.gemmlowp_shift = output_shift; |
| 106 | gemmlowp_output_stage_info.gemmlowp_offset = oq_unif.offset; |
| 107 | gemmlowp_output_stage_info.type = GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT; |
| 108 | gemmlowp_output_stage_info.gemmlowp_min_bound = type_min.get<int32_t>(); |
| 109 | gemmlowp_output_stage_info.gemmlowp_max_bound = type_max.get<int32_t>(); |
| 110 | |
| 111 | return Status{}; |
| 112 | } |
| 113 | |
| 114 | Status validate_mm(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const ActivationLayerInfo &act) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 115 | { |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 116 | if(is_data_type_quantized_asymmetric(input->data_type())) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 117 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 118 | // Since we need negative offsets for computing convolution, we need to change QuantizationInfo() |
| 119 | // Extract and negate input and weights offset |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 120 | const QuantizationInfo input_quantization_info(input->quantization_info().uniform().scale, -input->quantization_info().uniform().offset); |
| 121 | const QuantizationInfo weights_quantization_info(weights->quantization_info().uniform().scale, -weights->quantization_info().uniform().offset); |
| 122 | |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 123 | GEMMLowpOutputStageInfo gemmlowp_output_stage_info; |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 124 | ARM_COMPUTE_RETURN_ON_ERROR(get_gemmlowp_output_stage_info(input, weights, output, act, gemmlowp_output_stage_info)); |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 125 | |
| 126 | GEMMInfo gemm_info; |
| 127 | gemm_info.set_gemmlowp_output_stage(gemmlowp_output_stage_info); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 128 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 129 | // Validate gemmlowp function |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 130 | ARM_COMPUTE_RETURN_ON_ERROR(NEGEMMLowpMatrixMultiplyCore::validate(&input->clone()->set_quantization_info(input_quantization_info), |
| 131 | &weights->clone()->set_quantization_info(weights_quantization_info), |
| 132 | biases, |
| 133 | output, |
| 134 | gemm_info)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 135 | } |
| 136 | else |
| 137 | { |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 138 | ARM_COMPUTE_RETURN_ON_ERROR(NEGEMM::validate(input, weights, biases, output, 1.f, 1.0f, GEMMInfo(false, false, true /* Reshape weights only for the first run */))); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 139 | } |
| 140 | |
| 141 | return Status{}; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 142 | } |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 143 | } // namespace |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 144 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 145 | void NEFullyConnectedLayerReshapeWeights::configure(const ITensor *input, ITensor *output) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 146 | { |
Georgios Pinitas | 40f51a6 | 2020-11-21 03:04:18 +0000 | [diff] [blame] | 147 | auto k = std::make_unique<NETransposeKernel>(); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 148 | k->configure(input, output); |
| 149 | _kernel = std::move(k); |
| 150 | } |
Georgios Pinitas | baf174e | 2017-09-08 19:47:30 +0100 | [diff] [blame] | 151 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 152 | Status NEFullyConnectedLayerReshapeWeights::validate(const ITensorInfo *input, const ITensorInfo *output) |
| 153 | { |
| 154 | return NETransposeKernel::validate(input, output); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 155 | } |
| 156 | |
Michalis Spyrou | ebcebf1 | 2020-10-21 00:04:14 +0100 | [diff] [blame] | 157 | NEFullyConnectedLayer::~NEFullyConnectedLayer() = default; |
| 158 | |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 159 | NEFullyConnectedLayer::NEFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *weights_manager) |
Georgios Pinitas | e2696b1 | 2020-12-03 20:37:43 +0000 | [diff] [blame] | 160 | : _memory_group(std::move(memory_manager)), _weights_manager(weights_manager), _flatten(), _convert_weights(), _convert_weights_managed(), _reshape_weights_function(), |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 161 | _reshape_weights_managed_function(), _mm_gemm(nullptr, weights_manager), _mm_gemmlowp(nullptr, weights_manager), _flatten_output(), _converted_weights_output(), _reshape_weights_output(), |
| 162 | _original_weights(nullptr), _are_weights_converted(true), _are_weights_reshaped(false), _is_fc_after_conv(false), _is_quantized_asymmetric(false), _is_prepared(false) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 163 | { |
| 164 | } |
| 165 | |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 166 | void NEFullyConnectedLayer::configure_mm(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const ActivationLayerInfo &act) |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 167 | { |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 168 | if(_is_quantized_asymmetric) |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 169 | { |
| 170 | // Since we need negative offsets for computing convolution, we need to change QuantizationInfo() |
| 171 | // Extract and negate input and weights offset |
| 172 | const QuantizationInfo input_quantization_info = input->info()->quantization_info(); |
| 173 | const QuantizationInfo weights_quantization_info = weights->info()->quantization_info(); |
| 174 | |
Georgios Pinitas | 4c5469b | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 175 | input->info()->set_quantization_info(QuantizationInfo(input_quantization_info.uniform().scale, -input_quantization_info.uniform().offset)); |
| 176 | weights->info()->set_quantization_info(QuantizationInfo(weights_quantization_info.uniform().scale, -weights_quantization_info.uniform().offset)); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 177 | |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 178 | // Configure gemmlowp function and output stage for asymmetric quantized types |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 179 | GEMMLowpOutputStageInfo gemmlowp_output_stage_info; |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 180 | const Status status = get_gemmlowp_output_stage_info(input->info(), weights->info(), output->info(), act, gemmlowp_output_stage_info); |
| 181 | ARM_COMPUTE_ERROR_ON(status.error_code() != ErrorCode::OK); |
| 182 | |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 183 | GEMMInfo gemm_info; |
| 184 | gemm_info.set_gemmlowp_output_stage(gemmlowp_output_stage_info); |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 185 | gemm_info.set_activation_info(act); |
SiCong Li | adb3291 | 2020-02-17 16:39:27 +0000 | [diff] [blame] | 186 | _mm_gemmlowp.configure(input, weights, biases, output, gemm_info); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 187 | |
| 188 | // Revert back QuantizatioInfo as input and weights could be used in other fully connected layers |
| 189 | input->info()->set_quantization_info(input_quantization_info); |
| 190 | weights->info()->set_quantization_info(weights_quantization_info); |
| 191 | } |
| 192 | else |
| 193 | { |
| 194 | // Configure matrix multiply kernel |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 195 | GEMMInfo gemm_info(false, false, true /* Reshape weights only for the first run */); |
| 196 | gemm_info.set_activation_info(act); |
| 197 | _mm_gemm.configure(input, weights, biases, output, 1.f, 1.0f, gemm_info); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 198 | } |
| 199 | } |
| 200 | |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 201 | void NEFullyConnectedLayer::configure_conv_fc(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const ActivationLayerInfo &act) |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 202 | { |
| 203 | ARM_COMPUTE_ERROR_ON((weights->info()->dimension(1) != (input->info()->dimension(0) * input->info()->dimension(1) * input->info()->dimension(2)))); |
| 204 | |
| 205 | // If the fully connected layer is called after a convolution layer, the input tensor must be linearized |
| 206 | |
Giorgio Arena | 368e635 | 2018-08-20 15:06:07 +0100 | [diff] [blame] | 207 | // Initialize output tensor for flatten |
| 208 | TensorShape shape_flatten = compute_flatten_shape(input->info()); |
| 209 | _flatten_output.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(shape_flatten)); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 210 | |
Giorgio Arena | 368e635 | 2018-08-20 15:06:07 +0100 | [diff] [blame] | 211 | // Configure flatten kernel |
| 212 | _memory_group.manage(&_flatten_output); |
Michalis Spyrou | ebcebf1 | 2020-10-21 00:04:14 +0100 | [diff] [blame] | 213 | |
Georgios Pinitas | e2696b1 | 2020-12-03 20:37:43 +0000 | [diff] [blame] | 214 | _flatten.configure(input, &_flatten_output); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 215 | |
| 216 | // Configure matrix multiply kernel |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 217 | configure_mm(&_flatten_output, weights, biases, output, act); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 218 | |
Giorgio Arena | 368e635 | 2018-08-20 15:06:07 +0100 | [diff] [blame] | 219 | // Allocate the output tensor for flatten once all the configure methods have been called |
| 220 | _flatten_output.allocator()->allocate(); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 221 | } |
| 222 | |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 223 | void NEFullyConnectedLayer::configure_fc_fc(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const ActivationLayerInfo &act) |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 224 | { |
| 225 | ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != weights->info()->dimension(1)); |
| 226 | |
| 227 | // Configure matrix multiply kernel |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 228 | configure_mm(input, weights, biases, output, act); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 229 | } |
| 230 | |
Georgios Pinitas | 7d66a8e | 2018-07-17 12:28:42 +0100 | [diff] [blame] | 231 | void NEFullyConnectedLayer::configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, |
| 232 | FullyConnectedLayerInfo fc_info) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 233 | { |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 234 | // Perform validate step |
Michele Di Giorgio | 9c70037 | 2020-01-08 11:33:44 +0000 | [diff] [blame] | 235 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 236 | ARM_COMPUTE_ERROR_THROW_ON(NEFullyConnectedLayer::validate(input->info(), |
| 237 | weights->info(), |
| 238 | biases != nullptr ? biases->info() : nullptr, |
| 239 | output->info(), |
Georgios Pinitas | 7d66a8e | 2018-07-17 12:28:42 +0100 | [diff] [blame] | 240 | fc_info)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 241 | |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 242 | _are_weights_converted = true; |
| 243 | _are_weights_reshaped = fc_info.transpose_weights ? fc_info.are_weights_reshaped : true; |
| 244 | _is_fc_after_conv = true; |
| 245 | _is_quantized_asymmetric = is_data_type_quantized_asymmetric(input->info()->data_type()); |
| 246 | _original_weights = weights; |
Moritz Pflanzer | 484e7b3 | 2017-08-09 11:43:18 +0100 | [diff] [blame] | 247 | |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 248 | if(_weights_manager) |
| 249 | { |
| 250 | _weights_manager->manage(weights); |
| 251 | } |
| 252 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 253 | // With the Fully Connected layer we can have 4 different cases: |
| 254 | // 1) Convolution layer -> Fully Connected layer without batches |
| 255 | // 2) Fully Connected layer -> Fully Connected layer without batches |
| 256 | // 3) Convolution layer -> Fully Connected layer with batches |
| 257 | // 4) Fully Connected layer -> Fully Connected layer with batches |
| 258 | |
| 259 | const ITensor *weights_to_use = weights; |
| 260 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 261 | // Check if we have a fully connected layer with batches |
| 262 | const bool is_batched_fc_layer = output->info()->dimension(1) > 1; |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 263 | if(is_batched_fc_layer) |
Moritz Pflanzer | 484e7b3 | 2017-08-09 11:43:18 +0100 | [diff] [blame] | 264 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 265 | _is_fc_after_conv = (TensorShape::num_max_dimensions >= 4) && (std::equal(input->info()->tensor_shape().cbegin() + 3, |
| 266 | input->info()->tensor_shape().cend(), |
| 267 | output->info()->tensor_shape().cbegin() + 1)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 268 | } |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 269 | else |
| 270 | { |
| 271 | _is_fc_after_conv = input->info()->num_dimensions() > 1; |
| 272 | } |
| 273 | |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 274 | // Reshape weights if needed |
| 275 | if(!_are_weights_reshaped) |
| 276 | { |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 277 | if(_weights_manager && _weights_manager->are_weights_managed(weights)) |
| 278 | { |
| 279 | _reshape_weights_managed_function.configure(weights); |
| 280 | weights_to_use = _weights_manager->acquire(weights, &_reshape_weights_managed_function); |
| 281 | } |
| 282 | else |
| 283 | { |
| 284 | // Reshape the weights |
| 285 | _reshape_weights_function.configure(weights, &_reshape_weights_output); |
| 286 | weights_to_use = &_reshape_weights_output; |
| 287 | } |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 288 | } |
| 289 | |
| 290 | // Convert weights if needed |
| 291 | if(_is_fc_after_conv && (input->info()->data_layout() != fc_info.weights_trained_layout)) |
| 292 | { |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 293 | if(_weights_manager && _weights_manager->are_weights_managed(weights_to_use)) |
| 294 | { |
| 295 | _convert_weights_managed.configure(weights_to_use, |
| 296 | input->info()->tensor_shape(), |
| 297 | fc_info.weights_trained_layout); |
| 298 | weights_to_use = _weights_manager->acquire(weights, &_convert_weights_managed); |
| 299 | } |
| 300 | else |
| 301 | { |
| 302 | // Convert weights |
| 303 | _convert_weights.configure(weights_to_use, |
| 304 | &_converted_weights_output, |
| 305 | input->info()->tensor_shape(), |
| 306 | fc_info.weights_trained_layout); |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 307 | |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 308 | weights_to_use = &_converted_weights_output; |
| 309 | } |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 310 | _are_weights_converted = false; |
| 311 | } |
| 312 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 313 | if(_is_fc_after_conv) |
| 314 | { |
| 315 | // Fully Connected layer after a Convolution Layer without batches |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 316 | configure_conv_fc(input, weights_to_use, biases, output, fc_info.activation_info); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 317 | } |
| 318 | else |
| 319 | { |
| 320 | // Fully Connected layer after a Fully Connected Layer without batches |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 321 | configure_fc_fc(input, weights_to_use, biases, output, fc_info.activation_info); |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 322 | } |
| 323 | |
| 324 | _are_weights_reshaped = _are_weights_reshaped || fc_info.retain_internal_weights; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 325 | } |
| 326 | |
Georgios Pinitas | 7d66a8e | 2018-07-17 12:28:42 +0100 | [diff] [blame] | 327 | Status NEFullyConnectedLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, |
| 328 | FullyConnectedLayerInfo fc_info) |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 329 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 330 | ARM_COMPUTE_UNUSED(fc_info.retain_internal_weights); |
| 331 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); |
Michele Di Giorgio | 9c70037 | 2020-01-08 11:33:44 +0000 | [diff] [blame] | 332 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 333 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights, output); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 334 | ARM_COMPUTE_RETURN_ERROR_ON(weights->num_dimensions() > 2); |
Georgios Pinitas | c6aef87 | 2020-04-29 13:37:09 +0100 | [diff] [blame] | 335 | ARM_COMPUTE_RETURN_ERROR_ON(biases != nullptr && biases->num_dimensions() > 1); |
Georgios Pinitas | 3909670 | 2020-11-20 04:37:59 +0000 | [diff] [blame] | 336 | ARM_COMPUTE_RETURN_ERROR_ON(fc_info.activation_info.enabled() && is_data_type_quantized(input->data_type()) && fc_info.activation_info.activation() != ActivationLayerInfo::ActivationFunction::RELU |
| 337 | && fc_info.activation_info.activation() != ActivationLayerInfo::ActivationFunction::BOUNDED_RELU && fc_info.activation_info.activation() != ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 338 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 339 | bool weights_reshaped = fc_info.transpose_weights ? fc_info.are_weights_reshaped : true; |
| 340 | bool is_fc_after_conv = true; |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 341 | |
Giorgio Arena | 368e635 | 2018-08-20 15:06:07 +0100 | [diff] [blame] | 342 | const ITensorInfo &flatten_input = TensorInfo(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_flatten_shape(input))); |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 343 | const ITensorInfo &reshaped_weights = TensorInfo(weights->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_transposed_shape(*weights))); |
Georgios Pinitas | 195b0ba | 2018-08-02 17:18:51 +0100 | [diff] [blame] | 344 | const ITensorInfo &converted_weights = weights_reshaped ? TensorInfo(weights->clone()->set_is_resizable(true).reset_padding()) : TensorInfo(*reshaped_weights.clone()); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 345 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 346 | // With the Fully Connected layer we can have 4 different cases: |
| 347 | // 1) Convolution layer -> Fully Connected layer without batches |
| 348 | // 2) Fully Connected layer -> Fully Connected layer without batches |
| 349 | // 3) Convolution layer -> Fully Connected layer with batches |
| 350 | // 4) Fully Connected layer -> Fully Connected layer with batches |
| 351 | |
| 352 | const ITensorInfo *input_to_use = input; |
| 353 | const ITensorInfo *weights_to_use = weights; |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 354 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 355 | // Check if we have a fully connected layer with batches |
| 356 | const bool is_batched_fc_layer = output->dimension(1) > 1; |
| 357 | |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 358 | if(is_batched_fc_layer) |
| 359 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 360 | is_fc_after_conv = (TensorShape::num_max_dimensions >= 4) && (std::equal(input->tensor_shape().cbegin() + 3, |
| 361 | input->tensor_shape().cend(), |
| 362 | output->tensor_shape().cbegin() + 1)); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 363 | } |
| 364 | else |
| 365 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 366 | is_fc_after_conv = input->num_dimensions() > 1; |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 367 | } |
| 368 | |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 369 | if(!weights_reshaped) |
| 370 | { |
| 371 | // Validate reshape weights kernel |
| 372 | ARM_COMPUTE_RETURN_ON_ERROR(NEFullyConnectedLayerReshapeWeights::validate(weights, &reshaped_weights)); |
| 373 | weights_to_use = &reshaped_weights; |
| 374 | } |
| 375 | |
| 376 | if(is_fc_after_conv && (input->data_layout() != fc_info.weights_trained_layout)) |
| 377 | { |
| 378 | // Validate convert weights kernel |
| 379 | ARM_COMPUTE_RETURN_ON_ERROR(NEConvertFullyConnectedWeights::validate(weights_to_use, |
| 380 | &converted_weights, |
| 381 | input->tensor_shape(), |
| 382 | fc_info.weights_trained_layout)); |
| 383 | weights_to_use = &converted_weights; |
| 384 | } |
| 385 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 386 | if(is_fc_after_conv) |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 387 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 388 | // Fully Connected layer after a Convolution Layer without batches |
| 389 | ARM_COMPUTE_RETURN_ERROR_ON((weights_to_use->dimension(1) != (input->dimension(0) * input->dimension(1) * input->dimension(2)))); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 390 | |
Giorgio Arena | 368e635 | 2018-08-20 15:06:07 +0100 | [diff] [blame] | 391 | // Validate flatten kernel |
Georgios Pinitas | e2696b1 | 2020-12-03 20:37:43 +0000 | [diff] [blame] | 392 | ARM_COMPUTE_RETURN_ON_ERROR(NEFlattenLayer::validate(input, &flatten_input)); |
Giorgio Arena | 368e635 | 2018-08-20 15:06:07 +0100 | [diff] [blame] | 393 | input_to_use = &flatten_input; |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 394 | } |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 395 | else |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 396 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 397 | // Fully Connected layer after a Fully Connected Layer without batches |
| 398 | ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != weights_to_use->dimension(1)); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 399 | } |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 400 | // Validate matrix multiply kernel |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 401 | ARM_COMPUTE_RETURN_ON_ERROR(validate_mm(input_to_use, weights_to_use, biases, output, fc_info.activation_info)); |
Ioan-Cristian Szabo | b4e3e1c | 2017-11-30 17:17:17 +0000 | [diff] [blame] | 402 | |
| 403 | return Status{}; |
| 404 | } |
| 405 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 406 | void NEFullyConnectedLayer::run() |
| 407 | { |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 408 | prepare(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 409 | |
Georgios Pinitas | da953f2 | 2019-04-02 17:27:03 +0100 | [diff] [blame] | 410 | MemoryGroupResourceScope scope_mg(_memory_group); |
Georgios Pinitas | baf174e | 2017-09-08 19:47:30 +0100 | [diff] [blame] | 411 | |
Moritz Pflanzer | 484e7b3 | 2017-08-09 11:43:18 +0100 | [diff] [blame] | 412 | // Linearize input if it comes from a convolutional layer |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 413 | if(_is_fc_after_conv) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 414 | { |
Georgios Pinitas | e2696b1 | 2020-12-03 20:37:43 +0000 | [diff] [blame] | 415 | _flatten.run(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 416 | } |
| 417 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 418 | // Run matrix multiply |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 419 | if(_is_quantized_asymmetric) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 420 | { |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 421 | _mm_gemmlowp.run(); |
| 422 | } |
| 423 | else |
| 424 | { |
| 425 | _mm_gemm.run(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 426 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 427 | } |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 428 | |
| 429 | void NEFullyConnectedLayer::prepare() |
| 430 | { |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 431 | if(!_is_prepared) |
| 432 | { |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 433 | if(!_weights_manager) |
| 434 | { |
| 435 | ARM_COMPUTE_ERROR_ON(!_original_weights->is_used()); |
| 436 | } |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 437 | |
| 438 | auto release_unused = [](Tensor * w) |
| 439 | { |
| 440 | if(!w->is_used()) |
| 441 | { |
| 442 | w->allocator()->free(); |
| 443 | } |
| 444 | }; |
| 445 | |
| 446 | // Pointer to current weights |
| 447 | const ITensor *cur_weights = _original_weights; |
| 448 | |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 449 | // Reshape of the weights (happens only once) |
| 450 | if(!_are_weights_reshaped) |
| 451 | { |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 452 | if(_weights_manager && _weights_manager->are_weights_managed(_original_weights)) |
| 453 | { |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 454 | cur_weights = _weights_manager->run(cur_weights, &_reshape_weights_managed_function); |
| 455 | } |
| 456 | else |
| 457 | { |
| 458 | // Reshape of the weights (happens only once) |
| 459 | if(!_are_weights_reshaped) |
| 460 | { |
| 461 | // Run reshape weights kernel and mark weights as unused |
| 462 | _reshape_weights_output.allocator()->allocate(); |
| 463 | _reshape_weights_function.run(); |
| 464 | } |
| 465 | cur_weights->mark_as_unused(); |
| 466 | cur_weights = &_reshape_weights_output; |
| 467 | } |
Giorgio Arena | a855af1 | 2018-07-16 17:20:38 +0100 | [diff] [blame] | 468 | _are_weights_reshaped = true; |
| 469 | } |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 470 | |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 471 | // Convert weights if needed (happens only once) |
| 472 | if(!_are_weights_converted) |
| 473 | { |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 474 | if(_weights_manager && _weights_manager->are_weights_managed(cur_weights)) |
| 475 | { |
| 476 | _weights_manager->run(cur_weights, &_convert_weights_managed); |
| 477 | } |
| 478 | else |
| 479 | { |
| 480 | _converted_weights_output.allocator()->allocate(); |
| 481 | _convert_weights.run(); |
Michalis Spyrou | 20c2b50 | 2019-10-01 15:39:42 +0100 | [diff] [blame] | 482 | cur_weights->mark_as_unused(); |
Michalis Spyrou | 1a569a3 | 2019-09-10 17:20:34 +0100 | [diff] [blame] | 483 | } |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 484 | |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 485 | _are_weights_converted = true; |
| 486 | } |
| 487 | |
| 488 | // Release reshaped weights if unused |
| 489 | release_unused(&_reshape_weights_output); |
| 490 | |
| 491 | // Prepare GEMM prepare and release unused weights |
SiCongLi | 2e5fd63 | 2020-03-02 15:39:15 +0000 | [diff] [blame] | 492 | if(!_is_quantized_asymmetric) |
Georgios Pinitas | ef776a8 | 2018-07-25 17:57:49 +0100 | [diff] [blame] | 493 | { |
| 494 | _mm_gemm.prepare(); |
| 495 | } |
| 496 | |
| 497 | // Release converted weights if unused |
| 498 | release_unused(&_reshape_weights_output); |
| 499 | release_unused(&_converted_weights_output); |
| 500 | |
Georgios Pinitas | 7221933 | 2018-06-05 14:56:06 +0100 | [diff] [blame] | 501 | _is_prepared = true; |
| 502 | } |
Michele Di Giorgio | f29d1b7 | 2019-10-29 10:58:13 +0000 | [diff] [blame] | 503 | } |
Georgios Pinitas | c6aef87 | 2020-04-29 13:37:09 +0100 | [diff] [blame] | 504 | } // namespace arm_compute |