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Diffstat (limited to 'compiler/moco/import/src/Nodes/Mul.cpp')
-rw-r--r-- | compiler/moco/import/src/Nodes/Mul.cpp | 85 |
1 files changed, 85 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/Mul.cpp b/compiler/moco/import/src/Nodes/Mul.cpp new file mode 100644 index 000000000..ab926b59e --- /dev/null +++ b/compiler/moco/import/src/Nodes/Mul.cpp @@ -0,0 +1,85 @@ +/* + * 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 "moco/Import/Nodes/Mul.h" + +#include <moco/IR/Nodes/TFMul.h> + +#include <loco.h> +#include <stdex/Memory.h> + +namespace +{ + +using namespace moco; + +/** + * @brief GraphUpdate for TF Mul node + */ +class TFMulGraphUpdate final : public GraphUpdate +{ +public: + TFMulGraphUpdate(TFMul *node, std::vector<TensorName> names) : _node(node), _names(names) {} + + void input(const SymbolTable *) const override; + +private: + TFMul *_node; + std::vector<TensorName> _names; +}; + +void TFMulGraphUpdate::input(const SymbolTable *tensor_names) const +{ + assert(_names.size() == 2); + + _node->x(tensor_names->node(_names[0])); + _node->y(tensor_names->node(_names[1])); +} + +} // namespace + +namespace moco +{ + +bool MulGraphBuilder::validate(const tensorflow::NodeDef &node) const +{ + return node.input_size() == 2; +} + +void MulGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const +{ + assert(context != nullptr); + + loco::Graph *graph = context->graph(); + SymbolTable *tensor_names = context->tensor_names(); + UpdateQueue *updates = context->updates(); + + // creating TF dialect Mul node + auto tf_mul = graph->nodes()->create<TFMul>(); + tf_mul->name(node.name()); + + TensorName output_name(node.name(), 0); + tensor_names->enroll(output_name, tf_mul); + + std::vector<TensorName> add_input_names; + add_input_names.push_back(TensorName(node.input(0))); // x + add_input_names.push_back(TensorName(node.input(1))); // y + + auto tf_mul_update = stdex::make_unique<TFMulGraphUpdate>(tf_mul, add_input_names); + updates->enroll(std::move(tf_mul_update)); +} + +} // namespace moco |