1 files changed, 0 insertions, 117 deletions
diff --git a/runtimes/neurun/src/graph/operand/Object.cc b/runtimes/neurun/src/graph/operand/Object.cc
deleted file mode 100644
index 7b95cea97..000000000
--- a/runtimes/neurun/src/graph/operand/Object.cc
+++ /dev/null
@@ -1,117 +0,0 @@
-/*
- * 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