1 files changed, 100 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/Shape.cpp b/compiler/moco/import/src/Nodes/Shape.cpp
new file mode 100644
index 000000000..1e112ebb0
--- /dev/null
+++ b/compiler/moco/import/src/Nodes/Shape.cpp
@@ -0,0 +1,100 @@
+/*
+ * 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/Shape.h"
+
+#include <moco/IR/Nodes/TFShape.h>
+
+#include <loco.h>
+#include <stdex/Memory.h>
+#include <plier/tf/Convert.h>
+
+namespace
+{
+using namespace moco;
+
+/**
+ * @brief GraphUpdate for Shape node
+ */
+class ShapeGraphUpdate final : public GraphUpdate
+{
+public:
+  ShapeGraphUpdate(TFShape *node, const TensorName &&input_name)
+      : _node(node), _input_name(input_name)
+  {
+    // DO NOTHING
+  }
+
+  void input(const SymbolTable *) const override;
+
+private:
+  TFShape *_node;
+  const TensorName _input_name;
+};
+
+void ShapeGraphUpdate::input(const SymbolTable *table) const
+{
+  loco::Node *input_node = table->node(_input_name);
+  _node->input(input_node);
+}
+
+} // namespace
+
+namespace moco
+{
+
+bool ShapeGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+  if (node.input_size() != 1)
+    return false;
+
+  return plier::tf::has_attrs(node, {"T"});
+}
+
+void ShapeGraphBuilder::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 TF dialect Shape node
+  auto tf_shape = graph->nodes()->create<TFShape>();
+  tf_shape->name(node.name());
+
+  if (plier::tf::has_attrs(node, {"out_type"}))
+  {
+    auto dtype = plier::tf::as_loco_datatype(plier::tf::get_datatype_attr(node, "out_type"));
+    // TODO Support other dtype like S64
+    assert(dtype == loco::DataType::S32);
+
+    tf_shape->dtype(dtype);
+  }
+  else
+  {
+    // Set to S32, TF-documented default value for 'out_type'
+    tf_shape->dtype(loco::DataType::S32);
+  }
+
+  TensorName output_name(node.name(), 0);
+  tensor_names->enroll(output_name, tf_shape);
+
+  auto update = stdex::make_unique<ShapeGraphUpdate>(tf_shape, TensorName(node.input(0)));
+  updates->enroll(std::move(update));
+}
+
+} // namespace moco