Alex Gilday | 8913d8d | 2018-02-15 11:07:18 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017-2018 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/graph/nodes/ResidualLayer.h" |
| 25 | |
| 26 | #include "arm_compute/graph/Error.h" |
| 27 | #include "arm_compute/graph/Graph.h" |
| 28 | #include "arm_compute/graph/NodeContext.h" |
| 29 | #include "arm_compute/graph/OperationRegistry.h" |
| 30 | #include "arm_compute/graph/SubGraph.h" |
| 31 | #include "arm_compute/graph/Tensor.h" |
| 32 | #include "arm_compute/runtime/IFunction.h" |
| 33 | #include "support/ToolchainSupport.h" |
| 34 | #include "utils/Utils.h" |
| 35 | |
| 36 | #include <memory> |
| 37 | #include <tuple> |
| 38 | #include <vector> |
| 39 | |
| 40 | using namespace arm_compute::graph; |
| 41 | |
| 42 | /** Residual function */ |
| 43 | class ResidualFunction final : public arm_compute::IFunction |
| 44 | { |
| 45 | public: |
| 46 | /** Default Constructor */ |
| 47 | ResidualFunction(GraphContext &ctx, ITensorObject *output) |
| 48 | : _ctx(ctx), _input(nullptr), _output(output), _func(nullptr), _graphs(), _graph_outputs() |
| 49 | { |
| 50 | } |
| 51 | |
| 52 | /** Prevent instances from being copy constructed */ |
| 53 | ResidualFunction(const ResidualFunction &) = delete; |
| 54 | /** Prevent instances from being copy assigned */ |
| 55 | const ResidualFunction &operator=(const ResidualFunction &) = delete; |
| 56 | /** Prevent instances from being move constructed */ |
| 57 | ResidualFunction(ResidualFunction &&) = delete; |
| 58 | /** Prevent instances from being move assigned */ |
| 59 | ResidualFunction &operator=(ResidualFunction &&) = delete; |
| 60 | /** Default destructor */ |
| 61 | ~ResidualFunction() override = default; |
| 62 | |
| 63 | /** Set the input (when using only one sub graph) |
| 64 | * |
| 65 | * @param[in] input Input to set |
| 66 | */ |
| 67 | void set_input(std::unique_ptr<ITensorObject> input) |
| 68 | { |
| 69 | _input = std::move(input); |
| 70 | } |
| 71 | |
| 72 | /** Registers graph to be executed by the residual function |
| 73 | * |
| 74 | * @param[in] graph Graph to register |
| 75 | * @param[in] output Output to register |
| 76 | */ |
| 77 | void register_graph(std::unique_ptr<Graph> graph, std::unique_ptr<ITensorObject> output) |
| 78 | { |
| 79 | _graphs.push_back(std::move(graph)); |
| 80 | _graph_outputs.push_back(std::move(output)); |
| 81 | } |
| 82 | |
| 83 | /** Configure the function */ |
| 84 | void configure() |
| 85 | { |
| 86 | ARM_COMPUTE_ERROR_ON(_graphs.size() < 1 || _graphs.size() > 2); |
| 87 | TargetHint target_hint = _ctx.hints().target_hint(); |
| 88 | |
| 89 | // Create node context |
| 90 | NodeContext node_ctx(OperationType::ArithmeticAddition); |
| 91 | node_ctx.set_target(target_hint); |
| 92 | |
| 93 | if(_graphs.size() == 1) |
| 94 | { |
| 95 | arm_compute::ITensor *in = _input->tensor(); |
| 96 | node_ctx.add_input(in); |
| 97 | } |
| 98 | |
| 99 | for(auto &o : _graph_outputs) |
| 100 | { |
| 101 | arm_compute::ITensor *in = o->tensor(); |
| 102 | node_ctx.add_input(in); |
| 103 | } |
| 104 | |
| 105 | arm_compute::ITensor *out = _output->tensor(); |
| 106 | auto_init_if_empty(*out->info(), *_graph_outputs[0]->tensor()->info()); |
| 107 | node_ctx.add_output(out); |
| 108 | |
| 109 | _func = OperationRegistry::get().find_operation(OperationType::ArithmeticAddition, target_hint)->configure(node_ctx); |
| 110 | |
| 111 | for(auto &o : _graph_outputs) |
| 112 | { |
| 113 | o->allocate(); |
| 114 | } |
| 115 | } |
| 116 | |
| 117 | // Inherited methods overriden: |
| 118 | void run() override |
| 119 | { |
| 120 | ARM_COMPUTE_ERROR_ON(_graphs.size() < 1 || _graphs.size() > 2); |
| 121 | |
| 122 | for(auto &g : _graphs) |
| 123 | { |
| 124 | ARM_COMPUTE_ERROR_ON(g.get() == nullptr); |
| 125 | g->run(); |
| 126 | } |
| 127 | |
| 128 | _func->run(); |
| 129 | } |
| 130 | |
| 131 | private: |
| 132 | GraphContext _ctx; |
| 133 | std::unique_ptr<ITensorObject> _input; |
| 134 | ITensorObject *_output; |
| 135 | std::unique_ptr<arm_compute::IFunction> _func; |
| 136 | std::vector<std::unique_ptr<Graph>> _graphs; |
| 137 | std::vector<std::unique_ptr<ITensorObject>> _graph_outputs; |
| 138 | }; |
| 139 | |
| 140 | std::unique_ptr<arm_compute::IFunction> ResidualLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output) |
| 141 | { |
| 142 | ARM_COMPUTE_ERROR_ON_UNALLOCATED_TENSOR_OBJECT(input, output); |
| 143 | ARM_COMPUTE_ERROR_ON(dynamic_cast<Tensor *>(input) == nullptr); |
| 144 | ARM_COMPUTE_ERROR_ON(dynamic_cast<Tensor *>(output) == nullptr); |
| 145 | |
| 146 | // Create residual function |
| 147 | auto func = arm_compute::support::cpp14::make_unique<ResidualFunction>(ctx, output); |
| 148 | |
| 149 | if(_sub_graphs.size() == 1) |
| 150 | { |
| 151 | std::unique_ptr<ITensorObject> original_in; |
| 152 | original_in = arm_compute::support::cpp14::make_unique<SubTensor>(*dynamic_cast<Tensor *>(input), |
| 153 | input->tensor()->info()->tensor_shape(), |
| 154 | Coordinates()); |
| 155 | func->set_input(std::move(original_in)); |
| 156 | } |
| 157 | |
| 158 | // Constuct all sub-graphs given the input/output |
| 159 | for(auto &sg : _sub_graphs) |
| 160 | { |
| 161 | ARM_COMPUTE_ERROR_ON(sg.get() == nullptr); |
| 162 | |
| 163 | // IO buffers |
| 164 | std::unique_ptr<ITensorObject> in; |
| 165 | std::unique_ptr<ITensorObject> out; |
| 166 | std::unique_ptr<ITensorObject> func_in; |
| 167 | |
| 168 | // Create input sub-tensor |
| 169 | if(!sg->has_input()) |
| 170 | { |
| 171 | in = arm_compute::support::cpp14::make_unique<SubTensor>(*dynamic_cast<Tensor *>(input), |
| 172 | input->tensor()->info()->tensor_shape(), |
| 173 | Coordinates()); |
| 174 | } |
| 175 | |
| 176 | // Create output sub-tensor |
| 177 | if(!sg->has_output()) |
| 178 | { |
| 179 | ITensorInfo *info = input->tensor()->info(); |
| 180 | func_in = arm_compute::support::cpp14::make_unique<Tensor>(TensorInfo(info->num_channels(), info->data_type(), info->fixed_point_position())); |
| 181 | func_in->set_target(ctx.hints().target_hint()); |
| 182 | out = arm_compute::support::cpp14::make_unique<SubTensor>(func_in->tensor(), |
| 183 | TensorShape(), |
| 184 | Coordinates(0, 0, 0), |
| 185 | func_in->target(), |
| 186 | true); |
| 187 | } |
| 188 | |
| 189 | // Construct sub_graph |
| 190 | auto g = sg->construct(ctx, std::move(in), std::move(out)); |
| 191 | |
| 192 | // Register graph to function |
| 193 | func->register_graph(std::move(g), std::move(func_in)); |
| 194 | } |
| 195 | |
| 196 | func->configure(); |
| 197 | |
| 198 | return std::move(func); |
| 199 | } |