SiCong Li | b63b119 | 2022-01-28 18:24:39 +0000 | [diff] [blame^] | 1 | /* |
| 2 | * Copyright (c) 2022 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 | #ifndef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION |
| 25 | #error "This experimental feature must be enabled with -DENABLE_EXPERIMENTAL_DYNAMIC_FUSION" |
| 26 | #endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */ |
| 27 | #ifndef ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_OPERATORGRAPHIMPL |
| 28 | #define ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_OPERATORGRAPHIMPL |
| 29 | |
| 30 | #include "arm_compute/core/experimental/ClWorkload.h" |
| 31 | #include "src/core/experimental/dynamic_fusion/WorkloadImpl/ITensorDescPack.h" |
| 32 | |
| 33 | #include "support/Cast.h" |
| 34 | #include "support/DeepCopy.h" |
| 35 | |
| 36 | #include <map> |
| 37 | #include <tuple> |
| 38 | #include <type_traits> |
| 39 | |
| 40 | namespace arm_compute |
| 41 | { |
| 42 | namespace experimental |
| 43 | { |
| 44 | namespace dynamic_fusion |
| 45 | { |
| 46 | enum class OperatorComplexity |
| 47 | { |
| 48 | Complex = 0, |
| 49 | Simple |
| 50 | }; |
| 51 | |
| 52 | struct ClKernelGraph; |
| 53 | struct OpTensorContent |
| 54 | { |
| 55 | public: |
| 56 | using Id = DependencyGraph::Id; |
| 57 | OpTensorContent() = default; |
| 58 | OpTensorContent(Id id) |
| 59 | : id{ id }, desc{} |
| 60 | { |
| 61 | } |
| 62 | OpTensorContent(Id id, ITensorInfo *desc) |
| 63 | : id{ id }, desc{ desc } |
| 64 | { |
| 65 | } |
| 66 | ~OpTensorContent() = default; |
| 67 | OpTensorContent(const OpTensorContent &) = default; |
| 68 | OpTensorContent &operator=(const OpTensorContent &) = default; |
| 69 | OpTensorContent(OpTensorContent &&) = default; |
| 70 | OpTensorContent &operator=(OpTensorContent &&) = default; |
| 71 | bool operator==(const OpTensorContent &other) const |
| 72 | { |
| 73 | return desc == other.desc; |
| 74 | } |
| 75 | |
| 76 | const ITensorInfo *get_tensor_info() const |
| 77 | { |
| 78 | return desc; |
| 79 | } |
| 80 | ITensorInfo *get_tensor_info() |
| 81 | { |
| 82 | return desc; |
| 83 | } |
| 84 | |
| 85 | Id id{}; |
| 86 | ITensorInfo *desc{}; |
| 87 | }; |
| 88 | |
| 89 | struct OperatorContent |
| 90 | { |
| 91 | public: |
| 92 | using Id = DependencyGraph::Id; |
| 93 | OperatorContent() = default; |
| 94 | OperatorContent(const OperatorGraph::Implementation *graph, Id id, const ITensorDescPack<OpTensorContent> &tensors) |
| 95 | : _graph{ graph }, _id{ id }, _tensors{ tensors } |
| 96 | { |
| 97 | } |
| 98 | OperatorContent(const OperatorContent &op) = default; |
| 99 | OperatorContent &operator=(const OperatorContent &op) = default; |
| 100 | OperatorContent(OperatorContent &&op) = default; |
| 101 | OperatorContent &operator=(OperatorContent &&op) = default; |
| 102 | virtual ~OperatorContent() = default; |
| 103 | virtual OperatorComplexity complexity() const = 0; |
| 104 | virtual bool operator==(const OperatorContent &other) const = 0; |
| 105 | virtual Status translate(ClKernelGraph &kernel_graph) const = 0; |
| 106 | |
| 107 | protected: |
| 108 | const OperatorGraph::Implementation *_graph {}; |
| 109 | Id _id{}; |
| 110 | ITensorDescPack<OpTensorContent> _tensors{}; |
| 111 | }; |
| 112 | |
| 113 | struct Conv2dContent : public OperatorContent |
| 114 | { |
| 115 | public: |
| 116 | Conv2dContent() = default; |
| 117 | Conv2dContent(const OperatorGraph::Implementation *graph, Id id, const Conv2dDescriptor &desc, const ITensorDescPack<OpTensorContent> &tensors) |
| 118 | : OperatorContent(graph, id, tensors), desc(desc), forced_method(), forced_method_enabled(false) |
| 119 | { |
| 120 | } |
| 121 | // Temporary. Do not need to pass ConvolutionMethod |
| 122 | Conv2dContent(const OperatorGraph::Implementation *graph, Id id, const Conv2dDescriptor &desc, const ITensorDescPack<OpTensorContent> &tensors, ConvolutionMethod method) |
| 123 | : OperatorContent(graph, id, tensors), desc(desc), forced_method(method), forced_method_enabled(true) |
| 124 | { |
| 125 | } |
| 126 | ~Conv2dContent() = default; |
| 127 | Conv2dContent(const Conv2dContent &) = default; |
| 128 | Conv2dContent &operator=(const Conv2dContent &) = default; |
| 129 | Conv2dContent(Conv2dContent &&) = default; |
| 130 | Conv2dContent &operator=(Conv2dContent &&) = default; |
| 131 | bool operator==(const OperatorContent &other) const override; |
| 132 | OperatorComplexity complexity() const override |
| 133 | { |
| 134 | return OperatorComplexity::Complex; |
| 135 | } |
| 136 | void set_method(ConvolutionMethod method) |
| 137 | { |
| 138 | forced_method_enabled = true; |
| 139 | forced_method = method; |
| 140 | } |
| 141 | |
| 142 | Status translate(ClKernelGraph &kernel_graph) const override; |
| 143 | /** Replicate heuristics of @ref ClConv2d::get_convolution_method(), except that non-supported data types and data layouts are removed from the heuristics |
| 144 | * |
| 145 | * @param src |
| 146 | * @param weights |
| 147 | * @param dst |
| 148 | * @param conv2d_desc |
| 149 | * @param gpu_target |
| 150 | * @return ConvolutionMethod |
| 151 | */ |
| 152 | static ConvolutionMethod select_conv_method(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const Conv2dDescriptor &conv2d_desc, const GPUTarget gpu_target); |
| 153 | |
| 154 | Conv2dDescriptor desc{}; |
| 155 | ConvolutionMethod forced_method{ ConvolutionMethod::GEMM_CONV2D }; |
| 156 | bool forced_method_enabled{ false }; |
| 157 | |
| 158 | private: |
| 159 | Status translate_direct_conv2d(ClKernelGraph &kernel_graph) const; |
| 160 | }; |
| 161 | |
| 162 | class AddContent : public OperatorContent |
| 163 | { |
| 164 | public: |
| 165 | AddContent() = default; |
| 166 | AddContent(const OperatorGraph::Implementation *graph, Id id, const AddDescriptor &desc, const ITensorDescPack<OpTensorContent> &tensors) |
| 167 | : OperatorContent(graph, id, tensors), desc(desc) |
| 168 | { |
| 169 | } |
| 170 | ~AddContent() = default; |
| 171 | AddContent(const AddContent &) = default; |
| 172 | AddContent &operator=(const AddContent &) = default; |
| 173 | AddContent(AddContent &&) = default; |
| 174 | AddContent &operator=(AddContent &&) = default; |
| 175 | bool operator==(const OperatorContent &other) const override; |
| 176 | OperatorComplexity complexity() const override |
| 177 | { |
| 178 | return OperatorComplexity::Simple; |
| 179 | } |
| 180 | Status translate(ClKernelGraph &kernel_graph) const override; |
| 181 | |
| 182 | private: |
| 183 | AddDescriptor desc{}; |
| 184 | }; |
| 185 | |
| 186 | struct OperatorGraph::Implementation |
| 187 | { |
| 188 | public: |
| 189 | template <typename ContentT, typename... Args> |
| 190 | void add_node(Operator::Id id, Args &&... args) |
| 191 | { |
| 192 | operators[id] = utils::memory::make_deep_unique<OperatorContent, ContentT>(this, id, std::forward<Args>(args)...); |
| 193 | } |
| 194 | |
| 195 | template <typename... Args> |
| 196 | void add_tensor(OpTensor::Id id, Args &&... args) |
| 197 | { |
| 198 | tensors[id] = utils::memory::make_deep_unique<OpTensorContent, OpTensorContent>(id, std::forward<Args>(args)...); |
| 199 | } |
| 200 | |
| 201 | using Dependency = DependencyGraph; |
| 202 | using OperatorMap = std::map<Operator::Id, utils::memory::deep_unique_ptr<OperatorContent>>; |
| 203 | using OpTensorMap = std::map<OpTensor::Id, utils::memory::deep_unique_ptr<OpTensorContent>>; |
| 204 | |
| 205 | Implementation() = default; |
| 206 | ~Implementation() = default; |
| 207 | |
| 208 | friend bool operator==(const OperatorGraph::Implementation &graph0, const OperatorGraph::Implementation &graph1) |
| 209 | { |
| 210 | return graph0.graph == graph1.graph && graph0.operators == graph1.operators && graph0.tensors == graph1.tensors; |
| 211 | } |
| 212 | |
| 213 | Dependency graph{}; |
| 214 | OperatorMap operators{}; |
| 215 | OpTensorMap tensors{}; |
| 216 | Status status{}; |
| 217 | }; |
| 218 | |
| 219 | std::vector<const OperatorContent *> traverse(const OperatorGraph::Implementation &graph); |
| 220 | |
| 221 | std::vector<OperatorContent *> traverse(OperatorGraph::Implementation &graph); |
| 222 | |
| 223 | Status translate(ClKernelGraph &kernel_graph, const OperatorGraph::Implementation &op_graph); |
| 224 | |
| 225 | } // namespace dynamic_fusion |
| 226 | } // namespace experimental |
| 227 | } // namespace arm_compute |
| 228 | |
| 229 | #endif //ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_OPERATORGRAPHIMPL |