1 files changed, 86 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/Relu.cpp b/compiler/moco/import/src/Nodes/Relu.cpp
new file mode 100644
index 000000000..eedc8155d
--- /dev/null
+++ b/compiler/moco/import/src/Nodes/Relu.cpp
@@ -0,0 +1,86 @@
+/*
+ * 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/Relu.h"
+
+#include <moco/IR/Nodes/TFRelu.h>
+
+#include <moco/Names.h>
+#include <loco.h>
+#include <stdex/Memory.h>
+
+#include <cassert>
+#include <stdexcept>
+
+namespace
+{
+
+using namespace moco;
+
+class TFReluGraphUpdate final : public GraphUpdate
+{
+public:
+  TFReluGraphUpdate(TFRelu *node, const TensorName &&name) : _node(node), _name(name) {}
+
+  void input(const SymbolTable *) const override;
+
+private:
+  TFRelu *_node;
+  const TensorName _name;
+};
+
+void TFReluGraphUpdate::input(const SymbolTable *table) const
+{
+  loco::Node *target = table->node(_name);
+  _node->features(target);
+}
+
+} // namespace
+
+namespace moco
+{
+
+bool ReluGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+  // ReLU node SHOULD have only one input
+  if (node.input_size() != 1)
+    return false;
+
+  return true;
+}
+
+void ReluGraphBuilder::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();
+
+  // Create a "TFRelu" node for Relu
+  auto relu_node = graph->nodes()->create<TFRelu>();
+  relu_node->name(node.name());
+
+  // register string-name to node
+  TensorName output_name(node.name(), 0);
+  tensor_names->enroll(output_name, relu_node);
+
+  // Queue node input update
+  auto update = stdex::make_unique<TFReluGraphUpdate>(relu_node, TensorName(node.input(0)));
+  updates->enroll(std::move(update));
+}
+
+} // namespace moco