summaryrefslogtreecommitdiff
path: root/runtimes/neurun/src/compiler/PlanBuilder.cc
blob: 8ef3fedbf2e53cccff101410c7361d70a20aa744 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
/*
 * 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 "PlanBuilder.h"

#include "backend/interface/operand/IObject.h"

namespace neurun
{
namespace compiler
{

void PlanBuilder::addStage(const Stage &stage) { _stages.emplace_back(stage); }

void PlanBuilder::finalize(const backend::TensorBuilderSet &tensor_builders)
{
  auto &operands = _plan.operands();

  // Prepare tensors
  for (auto &tensor_builder : tensor_builders)
  {
    tensor_builder->prepare();

    // Wrap tensors as Object and store them to plan
    tensor_builder->iterate([&](const model::operand::Index &index) {
      auto object = tensor_builder->wrapTensor(index);
      operands.set(index, object);
    });
  }

  // Process Stage
  ExecutionBuilder execution_builder{_plan};

  for (const auto &stage : _stages)
  {
    stage(execution_builder);
  }

  // Allocate Tensor Memory for cl_tensors
  for (auto &tensor_builder : tensor_builders)
  {
    tensor_builder->allocate();
  }
}

} // namepsace compiler
} // namespace neurun