1 files changed, 67 insertions, 0 deletions
diff --git a/compiler/oneco/src/Op/Constant_V9.cpp b/compiler/oneco/src/Op/Constant_V9.cpp
new file mode 100644
index 000000000..56dc6cca0
--- /dev/null
+++ b/compiler/oneco/src/Op/Constant_V9.cpp
@@ -0,0 +1,67 @@
+/*
+ * 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 "Constant.h"
+#include "Convert.h"
+
+#include <cassert>
+
+namespace moco
+{
+namespace onnx
+{
+
+bool Constant_V9::validate(const ::onnx::NodeProto &node) const
+{
+  if (node.attribute_size() == 0 || !node.attribute(0).has_t())
+    return false;
+
+  return true;
+}
+
+void Constant_V9::build(const ::onnx::NodeProto &node, GraphBuilderContext *context) const
+{
+  assert(context != nullptr);
+
+  loco::Graph *graph = context->graph();
+  SymbolTable *nodes = context->nodes();
+
+  // Create a "ConstGen" node for Constant
+  auto const_node = graph->nodes()->create<loco::ConstGen>();
+  auto tensor_attribute = node.attribute().Get(0).t();
+  const_node->dtype(as_loco_datatype(tensor_attribute.data_type()));
+  const_node->rank(tensor_attribute.dims_size());
+  // TODO Support other data types
+  assert(const_node->dtype() == loco::DataType::FLOAT32);
+  const_node->size<loco::DataType::FLOAT32>(tensor_attribute.float_data_size());
+
+  for (uint32_t i = 0; i < const_node->rank(); ++i)
+  {
+    const_node->dim(i) = tensor_attribute.dims(i);
+  }
+
+  // TODO Support other data types
+  for (int i = 0; i < tensor_attribute.float_data_size(); ++i)
+  {
+    const_node->at<loco::DataType::FLOAT32>(i) = tensor_attribute.float_data(i);
+  }
+
+  nodes->enroll(node.name(), const_node);
+  nodes->enroll(node.output(0), const_node);
+}
+
+} // namespace onnx
+} // namespace moco