1 files changed, 0 insertions, 145 deletions
diff --git a/runtime/neurun/core/src/exec/ExecutorBase.cc b/runtime/neurun/core/src/exec/ExecutorBase.cc
deleted file mode 100644
index 9692c2ba7..000000000
--- a/runtime/neurun/core/src/exec/ExecutorBase.cc
+++ /dev/null
@@ -1,145 +0,0 @@
-/*
- * 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 "ExecutorBase.h"
-#include "util/logging.h"
-namespace neurun
-{
-namespace exec
-{
-
-ExecutorBase::ExecutorBase(const ir::Graph &graph,
-                           const std::shared_ptr<compiler::OperandContext> &operand_context,
-                           std::unique_ptr<backend::TensorManagerSet> tensor_mgrs)
-    : _graph{graph}, _operand_context{operand_context}, _tensor_mgrs{std::move(tensor_mgrs)},
-      _mutex()
-{
-  // DO NOTHING
-}
-
-std::unique_ptr<ISource> ExecutorBase::source(const ir::IOIndex &index, const ir::TypeInfo &type,
-                                              const void *buffer, size_t length,
-                                              ir::Layout io_layout)
-{
-  using ir::DataType;
-  switch (type.type())
-  {
-    case DataType::FLOAT32:
-      return source<float>(index, buffer, length, io_layout);
-    case DataType::INT32:
-      return source<int32_t>(index, buffer, length, io_layout);
-    case DataType::UINT32:
-      return source<uint32_t>(index, buffer, length, io_layout);
-    case DataType::BOOL8:
-    case DataType::QUANT8_ASYMM:
-    case DataType::UINT8:
-      return source<uint8_t>(index, buffer, length, io_layout);
-    case DataType::QUANT8_SYMM:
-      return source<int8_t>(index, buffer, length, io_layout);
-    default:
-      throw std::runtime_error("Not supported yet");
-  }
-}
-
-std::unique_ptr<ISink> ExecutorBase::sink(const ir::IOIndex &index, const ir::TypeInfo &type,
-                                          void *buffer, size_t length, ir::Layout io_layout)
-{
-  using ir::DataType;
-  switch (type.type())
-  {
-    case DataType::FLOAT32:
-      return sink<float>(index, buffer, length, io_layout);
-    case DataType::INT32:
-      return sink<int32_t>(index, buffer, length, io_layout);
-    case DataType::UINT32:
-      return sink<uint32_t>(index, buffer, length, io_layout);
-    case DataType::BOOL8:
-    case DataType::QUANT8_ASYMM:
-    case DataType::UINT8:
-      return sink<uint8_t>(index, buffer, length, io_layout);
-    case DataType::QUANT8_SYMM:
-      return sink<int8_t>(index, buffer, length, io_layout);
-    default:
-      throw std::runtime_error("Not supported yet");
-  }
-}
-
-void ExecutorBase::execute(const IODescription &desc)
-{
-  // For thread-safe, use mutex
-  // TODO: if all used backends on this executor are thread-safe,
-  //       do not need to use mutex (otherwise, use mutex)
-  std::lock_guard<std::mutex> lock(_mutex);
-
-  std::vector<std::unique_ptr<ISource>> sources{_graph.getInputs().size()};
-  std::vector<std::unique_ptr<ISink>> sinks{_graph.getOutputs().size()};
-
-  // Set input(s)
-  for (uint32_t n = 0; n < _graph.getInputs().size(); ++n)
-  {
-    ir::IOIndex input_index{n};
-    ir::OperandIndex index{_graph.getInputs().at(input_index)};
-
-    if (desc.inputs.at(n) == nullptr)
-    {
-      // Optional input
-      continue;
-    }
-
-    const auto operand_li = _graph.getLowerInfo()->operand.at(index).get();
-    if (operand_li->def_factors().empty())
-    {
-      // This input is not used (i.e. constant, EX. reshape's axis)
-      continue;
-    }
-
-    const auto &input = *desc.inputs.at(n);
-    sources.at(n) =
-        source(input_index, input.info.typeInfo(), input.buffer, input.size, input.layout);
-
-    auto setter = [&](::neurun::backend::operand::ITensor &tensor) { sources.at(n)->push(tensor); };
-
-    auto object = _operand_context->at(index);
-
-    object->access(setter);
-  }
-
-  executeImpl();
-
-  // Get output(s)
-  for (uint32_t n = 0; n < _graph.getOutputs().size(); ++n)
-  {
-    ir::IOIndex output_index{n};
-    // Optional output
-    if (desc.outputs.at(n) == nullptr)
-    {
-      continue;
-    }
-    const auto &output = *desc.outputs.at(n);
-    sinks.at(n) =
-        sink(output_index, output.info.typeInfo(), output.buffer, output.size, output.layout);
-
-    auto getter = [&](::neurun::backend::operand::ITensor &tensor) { sinks.at(n)->pull(tensor); };
-
-    ir::OperandIndex index{_graph.getOutputs().at(output_index)};
-    auto object = _operand_context->at(index);
-
-    object->access(getter);
-  }
-}
-
-} // namespace exec
-} // namespace neurun