1 files changed, 117 insertions, 0 deletions
diff --git a/runtimes/neurun/src/graph/operand/Object.cc b/runtimes/neurun/src/graph/operand/Object.cc
new file mode 100644
index 000000000..7b95cea97
--- /dev/null
+++ b/runtimes/neurun/src/graph/operand/Object.cc
@@ -0,0 +1,117 @@
+/*
+ * Copyright (c) 2018 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 "Object.h"
+
+namespace neurun
+{
+namespace graph
+{
+namespace operand
+{
+
+size_t Object::operandSize(void) const
+{
+  const uint32_t ranks = _shape.rank();
+  int32_t elements = 1;
+
+  for (uint32_t rank = 0; rank < ranks; rank++)
+  {
+    elements *= _shape.dim(rank);
+  }
+
+  DataType type = _type.type();
+  size_t element_size = 0;
+
+  // Value of type is matched with OperandCode enum in NeuralNetworks.h
+  switch (type)
+  {
+    case DataType::SCALAR_FLOAT32:
+    case DataType::TENSOR_FLOAT32:
+      element_size = sizeof(float);
+      break;
+    case DataType::SCALAR_INT32:
+    case DataType::TENSOR_INT32:
+      element_size = sizeof(int32_t);
+      break;
+    case DataType::SCALAR_UINT32:
+      element_size = sizeof(uint32_t);
+      break;
+    case DataType::TENSOR_QUANT8_ASYMM:
+      element_size = sizeof(uint8_t);
+      break;
+    default:
+      throw std::runtime_error{"Unsuppported type size"};
+  }
+
+  return element_size * elements;
+}
+
+bool Object::setUsage(const OperandUsage usage)
+{
+  if (usageIsDefined() && (_usage != usage))
+  {
+    // Already set as different type
+    return false;
+  }
+
+  _usage = usage;
+
+  return true;
+}
+
+void Object::appendUse(const ::neurun::graph::operation::Index &idx)
+{
+  assert(_usage != OperandUsage::NOT_DEFINED);
+  assert(!_uses.contains(idx));
+
+  _uses.append(idx);
+}
+
+void Object::removeUse(const ::neurun::graph::operation::Index &idx)
+{
+  assert(_usage != OperandUsage::NOT_DEFINED);
+  assert(_uses.contains(idx));
+
+  _uses.remove(idx);
+}
+
+void Object::appendDef(const ::neurun::graph::operation::Index &idx)
+{
+  assert(_usage != OperandUsage::NOT_DEFINED && _usage != OperandUsage::CONSTANT);
+  assert(_def.size() == 0);
+
+  _def.append(idx);
+}
+
+void Object::removeDef(const ::neurun::graph::operation::Index &idx)
+{
+  assert(_usage != OperandUsage::NOT_DEFINED);
+  assert(_def.contains(idx));
+
+  _def.remove(idx);
+}
+
+void Object::lower_info(std::unique_ptr<LowerInfo> &&lower_info)
+{
+  _lower_info = std::move(lower_info);
+}
+
+const LowerInfo *Object::lower_info() const { return _lower_info.get(); }
+
+} // namespace operand
+} // namespace graph
+} // namespace neurun