1 /*
2 * Copyright (c) 2018-2020 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/Utils.h"
25
26 #include "arm_compute/graph/GraphContext.h"
27 #include "arm_compute/graph/backends/BackendRegistry.h"
28 #include "arm_compute/graph/mutators/GraphMutators.h"
29
30 namespace arm_compute
31 {
32 namespace graph
33 {
is_target_supported(Target target)34 bool is_target_supported(Target target)
35 {
36 return backends::BackendRegistry::get().contains(target) && backends::BackendRegistry::get().find_backend(target)->is_backend_supported();
37 }
38
get_default_target()39 Target get_default_target()
40 {
41 if(is_target_supported(Target::NEON))
42 {
43 return Target::NEON;
44 }
45 if(is_target_supported(Target::CL))
46 {
47 return Target::CL;
48 }
49 if(is_target_supported(Target::GC))
50 {
51 return Target::GC;
52 }
53 ARM_COMPUTE_ERROR("No backend exists!");
54 }
55
force_target_to_graph(Graph & g,Target target)56 void force_target_to_graph(Graph &g, Target target)
57 {
58 auto &nodes = g.nodes();
59 for(auto &node : nodes)
60 {
61 if(node)
62 {
63 node->set_assigned_target(target);
64 }
65 }
66
67 auto &tensors = g.tensors();
68 for(auto &tensor : tensors)
69 {
70 if(tensor)
71 {
72 tensor->desc().target = target;
73 }
74 }
75 }
76
create_default_pass_manager(Target target,const GraphConfig & cfg)77 PassManager create_default_pass_manager(Target target, const GraphConfig &cfg)
78 {
79 PassManager pm;
80
81 const bool is_target_gc = target == Target::GC;
82
83 // Passes that mutate graph IR
84 if(cfg.convert_to_uint8)
85 {
86 pm.append(support::cpp14::make_unique<SyntheticDataTypeMutator>(), !is_target_gc);
87 }
88 pm.append(support::cpp14::make_unique<NodeFusionMutator>(), !is_target_gc);
89 pm.append(support::cpp14::make_unique<GroupedConvolutionMutator>());
90 pm.append(support::cpp14::make_unique<InPlaceOperationMutator>(), !is_target_gc);
91
92 // Passes that mutate backend information
93 pm.append(support::cpp14::make_unique<DepthConcatSubTensorMutator>(), !is_target_gc);
94 pm.append(support::cpp14::make_unique<SplitLayerSubTensorMutator>(), !is_target_gc);
95 pm.append(support::cpp14::make_unique<NodeExecutionMethodMutator>());
96
97 return pm;
98 }
99
release_default_graph_context(GraphContext & ctx)100 void release_default_graph_context(GraphContext &ctx)
101 {
102 for(const auto &backend : backends::BackendRegistry::get().backends())
103 {
104 if(backend.second->is_backend_supported())
105 {
106 backend.second->release_backend_context(ctx);
107 }
108 }
109 }
110
setup_requested_backend_context(GraphContext & ctx,Target target)111 void setup_requested_backend_context(GraphContext &ctx, Target target)
112 {
113 if(backends::BackendRegistry::get().contains(target))
114 {
115 const auto &backend = backends::BackendRegistry::get().find_backend(target);
116 if(backend->is_backend_supported())
117 {
118 backend->setup_backend_context(ctx);
119 }
120 }
121 }
122
get_dimension_size(const TensorDescriptor & descriptor,const DataLayoutDimension data_layout_dimension)123 size_t get_dimension_size(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension)
124 {
125 ARM_COMPUTE_ERROR_ON_MSG(descriptor.layout == DataLayout::UNKNOWN, "Cannot retrieve the dimension index for an unknown layout!");
126 return descriptor.shape[get_dimension_idx(descriptor.layout, data_layout_dimension)];
127 }
128
get_dimension_idx(DataLayout data_layout,const DataLayoutDimension data_layout_dimension)129 size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension)
130 {
131 ARM_COMPUTE_ERROR_ON_MSG(data_layout == DataLayout::UNKNOWN, "Cannot retrieve the dimension index for an unknown layout!");
132
133 /* Return the index based on the data layout
134 * [N C H W]
135 * [3 2 1 0]
136 * [N H W C]
137 */
138 switch(data_layout_dimension)
139 {
140 case DataLayoutDimension::CHANNEL:
141 return (data_layout == DataLayout::NCHW) ? 2 : 0;
142 break;
143 case DataLayoutDimension::HEIGHT:
144 return (data_layout == DataLayout::NCHW) ? 1 : 2;
145 break;
146 case DataLayoutDimension::WIDTH:
147 return (data_layout == DataLayout::NCHW) ? 0 : 1;
148 break;
149 case DataLayoutDimension::BATCHES:
150 return 3;
151 break;
152 default:
153 break;
154 }
155 ARM_COMPUTE_ERROR("Data layout index not supported!");
156 }
157
get_driving_nodes(const INode & node)158 std::vector<NodeIdxPair> get_driving_nodes(const INode &node)
159 {
160 std::vector<NodeIdxPair> driving_nodes;
161
162 const Graph *g = node.graph();
163 ARM_COMPUTE_ERROR_ON(g == nullptr);
164
165 for(auto &output_edge_id : node.output_edges())
166 {
167 auto output_edge = g->edge(output_edge_id);
168 if(output_edge != nullptr)
169 {
170 ARM_COMPUTE_ERROR_ON(output_edge->consumer() == nullptr);
171 driving_nodes.push_back({ output_edge->consumer_id(), output_edge->consumer_idx() });
172 }
173 }
174
175 return driving_nodes;
176 }
177
configure_tensor(Tensor * tensor)178 void configure_tensor(Tensor *tensor)
179 {
180 if(tensor != nullptr && tensor->handle() == nullptr)
181 {
182 Target target = tensor->desc().target;
183 backends::IDeviceBackend &backend = backends::BackendRegistry::get().get_backend(target);
184 std::unique_ptr<ITensorHandle> handle = backend.create_tensor(*tensor);
185 ARM_COMPUTE_ERROR_ON_MSG(!handle, "Couldn't create backend handle!");
186 tensor->set_handle(std::move(handle));
187 }
188 }
189 } // namespace graph
190 } // namespace arm_compute
191