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Diffstat (limited to 'compiler/loco/src/IR/Graph.cpp')
-rw-r--r-- | compiler/loco/src/IR/Graph.cpp | 137 |
1 files changed, 137 insertions, 0 deletions
diff --git a/compiler/loco/src/IR/Graph.cpp b/compiler/loco/src/IR/Graph.cpp new file mode 100644 index 000000000..1d8752252 --- /dev/null +++ b/compiler/loco/src/IR/Graph.cpp @@ -0,0 +1,137 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "loco/IR/Graph.h" + +#include <stdex/Memory.h> + +#include <cassert> + +namespace +{ + +std::unique_ptr<loco::TensorShape> make_tensor_shape(std::initializer_list<loco::Dimension> dims) +{ + auto tensor_shape = stdex::make_unique<loco::TensorShape>(); + + tensor_shape->rank(dims.size()); + { + uint32_t axis = 0; + for (auto it = dims.begin(); it != dims.end(); ++it) + { + tensor_shape->dim(axis++) = *it; + } + assert(axis == dims.size()); + } + + return std::move(tensor_shape); +} + +} // namespace + +namespace loco +{ + +void Mixin<Trait::TensorShaped>::shape(std::initializer_list<Dimension> dims) +{ + shape(make_tensor_shape(dims)); +} + +GraphInput *Graph::InputContext::create(void) +{ + return take(stdex::make_unique<GraphInput>(size())); +} + +GraphOutput *Graph::OutputContext::create(void) +{ + return take(stdex::make_unique<GraphOutput>(size())); +} + +std::set<loco::Node *> all_nodes(loco::Graph *g) +{ + std::set<loco::Node *> res; + + for (uint32_t n = 0; n < g->nodes()->size(); ++n) + { + res.insert(g->nodes()->at(n)); + } + + return res; +} + +std::vector<Node *> input_nodes(const Graph *g) +{ + std::map<GraphInputIndex, loco::Node *> table; + + for (uint32_t n = 0; n < g->nodes()->size(); ++n) + { + auto node = g->nodes()->at(n); + + if (auto service = node->dialect()->service<GraphInputIndexQueryService>()) + { + if (service->associated(node)) + { + auto input_index = service->index(node); + assert(table.find(input_index) == table.end()); + table[input_index] = node; + } + } + } + + std::vector<loco::Node *> res; + + for (uint32_t n = 0; n < g->inputs()->size(); ++n) + { + auto it = table.find(n); + res.emplace_back(it == table.end() ? nullptr : it->second); + } + + return res; +} + +std::vector<loco::Node *> output_nodes(loco::Graph *g) +{ + std::map<GraphOutputIndex, loco::Node *> table; + + for (uint32_t n = 0; n < g->nodes()->size(); ++n) + { + auto node = g->nodes()->at(n); + + if (auto service = node->dialect()->service<GraphOutputIndexQueryService>()) + { + if (service->associated(node)) + { + auto output_index = service->index(node); + assert(table.find(output_index) == table.end()); + table[output_index] = node; + } + } + } + + std::vector<loco::Node *> res; + + for (uint32_t n = 0; n < g->outputs()->size(); ++n) + { + auto it = table.find(n); + res.emplace_back(it == table.end() ? nullptr : it->second); + } + + return res; +} + +std::unique_ptr<Graph> make_graph(void) { return std::unique_ptr<Graph>{new Graph}; } + +} // namespace loco |