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Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
Gian Marco20d78482018-01-11 15:10:58 +00002 * Copyright (c) 2017-2018 ARM Limited.
Anthony Barbier6ff3b192017-09-04 18:44:23 +01003 *
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/CL/functions/CLConvolutionLayer.h"
25
26#include "arm_compute/core/PixelValue.h"
27#include "arm_compute/core/Utils.h"
28#include "arm_compute/core/Validate.h"
Georgios Pinitas78c00902018-01-09 17:33:11 +000029#include "arm_compute/core/utils/misc/ShapeCalculator.h"
30#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
Anthony Barbier6ff3b192017-09-04 18:44:23 +010031#include "arm_compute/runtime/CL/CLScheduler.h"
32
33#include <cmath>
Georgios Pinitasbaf174e2017-09-08 19:47:30 +010034#include <memory>
Anthony Barbier6ff3b192017-09-04 18:44:23 +010035#include <tuple>
36
37using namespace arm_compute;
Georgios Pinitas78c00902018-01-09 17:33:11 +000038using namespace arm_compute::misc::shape_calculator;
Anthony Barbier6ff3b192017-09-04 18:44:23 +010039
Georgios Pinitasbaf174e2017-09-08 19:47:30 +010040CLConvolutionLayer::CLConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager)
Isabella Gottardif07d28d2018-02-06 14:52:43 +000041 : _memory_manager(std::move(memory_manager)), _function()
Anthony Barbier6ff3b192017-09-04 18:44:23 +010042{
43}
44
Alex Gilday7da29b62018-03-23 14:16:00 +000045void CLConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info,
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010046 const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math, unsigned int num_groups)
Chunosov5124be52017-11-22 20:42:13 +070047{
Isabella Gottardif07d28d2018-02-06 14:52:43 +000048 ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +010049 ARM_COMPUTE_ERROR_THROW_ON(CLConvolutionLayer::validate(input->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr), output->info(), conv_info, weights_info, dilation, act_info,
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010050 enable_fast_math, num_groups));
Isabella Gottardif07d28d2018-02-06 14:52:43 +000051
Gian Marco Iodicee52a3002018-04-11 15:59:10 +010052 switch(CLConvolutionLayer::get_convolution_method(input->info(), weights->info(), output->info(), conv_info,
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +010053 weights_info, act_info, CLScheduler::get().target(), dilation, enable_fast_math))
Chunosov5124be52017-11-22 20:42:13 +070054 {
Gian Marco Iodicee52a3002018-04-11 15:59:10 +010055 case ConvolutionMethod::WINOGRAD:
56 {
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010057 ARM_COMPUTE_ERROR_ON(num_groups != 1);
Georgios Pinitas82b51482018-04-24 15:14:12 +010058 auto f = arm_compute::support::cpp14::make_unique<CLWinogradConvolutionLayer>(_memory_manager);
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +010059 f->configure(input, weights, biases, output, conv_info, act_info, enable_fast_math);
Gian Marco Iodicee52a3002018-04-11 15:59:10 +010060 _function = std::move(f);
61 break;
62 }
Isabella Gottardif07d28d2018-02-06 14:52:43 +000063 case ConvolutionMethod::DIRECT:
Gian Marco20d78482018-01-11 15:10:58 +000064 {
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010065 ARM_COMPUTE_ERROR_ON(num_groups != 1);
Isabella Gottardif07d28d2018-02-06 14:52:43 +000066 auto f = arm_compute::support::cpp14::make_unique<CLDirectConvolutionLayer>();
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +010067 f->configure(input, weights, biases, output, conv_info, act_info);
Isabella Gottardif07d28d2018-02-06 14:52:43 +000068 _function = std::move(f);
69 break;
Gian Marco20d78482018-01-11 15:10:58 +000070 }
Isabella Gottardif07d28d2018-02-06 14:52:43 +000071 case ConvolutionMethod::GEMM:
Gian Marco20d78482018-01-11 15:10:58 +000072 {
Isabella Gottardif07d28d2018-02-06 14:52:43 +000073 auto f = arm_compute::support::cpp14::make_unique<CLGEMMConvolutionLayer>(_memory_manager);
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010074 f->configure(input, weights, biases, output, conv_info, weights_info, dilation, act_info, num_groups);
Isabella Gottardif07d28d2018-02-06 14:52:43 +000075 _function = std::move(f);
76 break;
Gian Marco20d78482018-01-11 15:10:58 +000077 }
Isabella Gottardif07d28d2018-02-06 14:52:43 +000078 default:
79 ARM_COMPUTE_ERROR("Not supported.");
80 break;
Chunosov5124be52017-11-22 20:42:13 +070081 }
82}
83
Isabella Gottardif07d28d2018-02-06 14:52:43 +000084Status CLConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010085 const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, bool enable_fast_math, unsigned int num_groups)
Anthony Barbier6ff3b192017-09-04 18:44:23 +010086{
Georgios Pinitas78c00902018-01-09 17:33:11 +000087 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output);
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010088 ARM_COMPUTE_RETURN_ERROR_ON_MSG((num_groups != 1) && (input->data_layout() != DataLayout::NCHW), "Grouping (num_groups != 1) with NHWC data layout is not supported");
Chunosov5124be52017-11-22 20:42:13 +070089
Isabella Gottardif07d28d2018-02-06 14:52:43 +000090 const GPUTarget gpu_target = CLScheduler::get().target();
Anthony Barbier6ff3b192017-09-04 18:44:23 +010091
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +010092 switch(CLConvolutionLayer::get_convolution_method(input, weights, output, conv_info, weights_info, act_info, gpu_target, dilation, enable_fast_math))
Anthony Barbier6ff3b192017-09-04 18:44:23 +010093 {
Gian Marco Iodicee52a3002018-04-11 15:59:10 +010094 case ConvolutionMethod::WINOGRAD:
95 {
96 //Validate Winograd
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +010097 ARM_COMPUTE_RETURN_ERROR_ON_MSG(num_groups != 1, "Grouping (num_groups != 1) with CLWinogradConvolutionLayer is not supported");
Isabella Gottardi96b86a92018-05-14 15:52:07 +010098 ARM_COMPUTE_RETURN_ON_ERROR(CLWinogradConvolutionLayer::validate(input, weights, biases, output, conv_info, act_info, enable_fast_math));
Gian Marco Iodicee52a3002018-04-11 15:59:10 +010099 break;
100 }
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000101 case ConvolutionMethod::DIRECT:
Chunosov5124be52017-11-22 20:42:13 +0700102 {
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000103 // Validate direct convolution layer
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +0100104 ARM_COMPUTE_RETURN_ERROR_ON_MSG(num_groups != 1, "Grouping (num_groups != 1) with CLDirectConvolutionLayer is not supported");
Isabella Gottardi96b86a92018-05-14 15:52:07 +0100105 ARM_COMPUTE_RETURN_ON_ERROR(CLDirectConvolutionLayer::validate(input, weights, biases, output, conv_info, act_info));
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000106 break;
Chunosov5124be52017-11-22 20:42:13 +0700107 }
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000108 case ConvolutionMethod::GEMM:
Chunosov5124be52017-11-22 20:42:13 +0700109 {
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000110 // Validate gemm-based convolution layer
Gian Marco Iodice916d1bc2018-08-13 11:20:41 +0100111 ARM_COMPUTE_RETURN_ON_ERROR(CLGEMMConvolutionLayer::validate(input, weights, biases, output, conv_info, weights_info, dilation, act_info, num_groups));
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000112 break;
Chunosov5124be52017-11-22 20:42:13 +0700113 }
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000114 default:
115 ARM_COMPUTE_ERROR("Not supported.");
116 break;
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100117 }
118
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000119 return Status{};
120}
Gian Marco Iodice368da832017-07-03 12:33:49 +0100121
Gian Marco Iodicee52a3002018-04-11 15:59:10 +0100122ConvolutionMethod CLConvolutionLayer::get_convolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info,
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +0100123 const WeightsInfo &weights_info, const ActivationLayerInfo &act_info, const GPUTarget gpu_target, const Size2D &dilation, bool enable_fast_math)
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000124{
Gian Marco Iodicee52a3002018-04-11 15:59:10 +0100125 ARM_COMPUTE_ERROR_ON_NULLPTR(input);
126 ARM_COMPUTE_ERROR_ON_NULLPTR(output);
127 ARM_COMPUTE_ERROR_ON_NULLPTR(weights);
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000128 ARM_COMPUTE_UNUSED(weights_info);
Isabella Gottardicac4a2e2018-02-19 16:42:22 +0000129 ARM_COMPUTE_UNUSED(gpu_target);
Gian Marco Iodice1246b632017-08-16 18:38:32 +0100130
Giorgio Arenae0837712018-06-12 11:30:50 +0100131 const size_t idx_w = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::WIDTH);
132 const size_t idx_h = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::HEIGHT);
Gian Marco Iodicea8aef292018-05-14 14:21:39 +0100133 const size_t idx_c = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL);
134
Giorgio Arenae0837712018-06-12 11:30:50 +0100135 /* Input spatial dims, kernel size, IFM/OFM, conv info*/
Gian Marco Iodiceff4bbce2018-07-31 12:04:57 +0100136 using ConvolutionConfiguration = std::tuple<Size2D, Size2D, Size2D, PadStrideInfo, DataLayout>;
Giorgio Arenae0837712018-06-12 11:30:50 +0100137 using ConfigurationMethod = std::pair<ConvolutionConfiguration, ConvolutionMethod>;
138
139 const std::vector<ConfigurationMethod> known_configs =
140 {
141 // Alexnet
Gian Marco Iodiceff4bbce2018-07-31 12:04:57 +0100142 ConfigurationMethod(ConvolutionConfiguration(Size2D(27U, 27U), Size2D(5U, 5U), Size2D(48U, 128U), PadStrideInfo(1U, 1U, 2U, 2U), DataLayout::NCHW), ConvolutionMethod::DIRECT),
Giorgio Arenae0837712018-06-12 11:30:50 +0100143 // VGG16 / VGG19
Gian Marco Iodiceff4bbce2018-07-31 12:04:57 +0100144 ConfigurationMethod(ConvolutionConfiguration(Size2D(224U, 224U), Size2D(3U, 3U), Size2D(3U, 64U), PadStrideInfo(1U, 1U, 1U, 1U), DataLayout::NCHW), ConvolutionMethod::DIRECT),
Giorgio Arenae0837712018-06-12 11:30:50 +0100145 // Mobilenet 224
Gian Marco Iodiceff4bbce2018-07-31 12:04:57 +0100146 ConfigurationMethod(ConvolutionConfiguration(Size2D(224U, 224U), Size2D(3U, 3U), Size2D(3U, 32U), PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), DataLayout::NCHW), ConvolutionMethod::GEMM),
Giorgio Arenae0837712018-06-12 11:30:50 +0100147 // Mobilenet 160
Gian Marco Iodiceff4bbce2018-07-31 12:04:57 +0100148 ConfigurationMethod(ConvolutionConfiguration(Size2D(160U, 160U), Size2D(3U, 3U), Size2D(3U, 24U), PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), DataLayout::NCHW), ConvolutionMethod::GEMM),
149 // Mobilenet 224
150 ConfigurationMethod(ConvolutionConfiguration(Size2D(224U, 224U), Size2D(3U, 3U), Size2D(3U, 32U), PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), DataLayout::NHWC), ConvolutionMethod::GEMM),
151 // Mobilenet 160
152 ConfigurationMethod(ConvolutionConfiguration(Size2D(160U, 160U), Size2D(3U, 3U), Size2D(3U, 24U), PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), DataLayout::NHWC), ConvolutionMethod::GEMM),
Giorgio Arenae0837712018-06-12 11:30:50 +0100153 };
154
155 const auto find_config = [&](ConfigurationMethod c)
156 {
Gian Marco Iodiceff4bbce2018-07-31 12:04:57 +0100157 const ConvolutionConfiguration config = c.first;
158 const PadStrideInfo info = std::get<3>(config);
159 const DataLayout data_layout = std::get<4>(config);
Giorgio Arenae0837712018-06-12 11:30:50 +0100160
161 return std::get<0>(config) == Size2D(input->dimension(idx_w), input->dimension(idx_h)) && std::get<1>(config) == Size2D(weights->dimension(idx_w), weights->dimension(idx_h))
162 && std::get<2>(config) == Size2D(weights->dimension(idx_c), weights->dimension(3)) && info.pad_top() == conv_info.pad_top() && info.pad_right() == conv_info.pad_right()
Gian Marco Iodiceff4bbce2018-07-31 12:04:57 +0100163 && info.pad_bottom() == conv_info.pad_bottom() && info.pad_left() == conv_info.pad_left() && info.stride() == conv_info.stride() && (data_layout == input->data_layout());
Giorgio Arenae0837712018-06-12 11:30:50 +0100164 };
165
166 std::vector<ConfigurationMethod>::const_iterator found;
167 if((found = std::find_if(known_configs.begin(), known_configs.end(), find_config)) != known_configs.end())
168 {
169 return (*found).second;
170 }
171
Gian Marco Iodicea8aef292018-05-14 14:21:39 +0100172 if(dilation != Size2D(1U, 1U) || (input->dimension(idx_c) < 16))
Gian Marco Iodicee52a3002018-04-11 15:59:10 +0100173 {
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +0100174 return ConvolutionMethod::GEMM;
Gian Marco Iodicee52a3002018-04-11 15:59:10 +0100175 }
Gian Marco Iodice2213d4b2018-04-27 10:39:06 +0100176 else
177 {
178 return bool(CLWinogradConvolutionLayer::validate(input, weights, nullptr, output, conv_info, act_info, enable_fast_math)) ? ConvolutionMethod::WINOGRAD : ConvolutionMethod::GEMM;
179 }
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100180}
181
182void CLConvolutionLayer::run()
183{
Georgios Pinitase0437672018-05-02 14:07:55 +0100184 prepare();
Isabella Gottardif07d28d2018-02-06 14:52:43 +0000185 _function->run();
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100186}
Georgios Pinitase0437672018-05-02 14:07:55 +0100187
188void CLConvolutionLayer::prepare()
189{
190 _function->prepare();
191}