summaryrefslogtreecommitdiff
path: root/runtime/neurun/core/include/backend/CustomKernelBuilder.h
blob: 848ebd5955592f6e12e99160829bd043c3aa3de4 (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
61
62
63
64
65
66
67
68
69
/*
 * 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.
 */

#ifndef __NEURUN_BACKEND_CUSTOM_KERNEL_BUILDER_H__
#define __NEURUN_BACKEND_CUSTOM_KERNEL_BUILDER_H__

#include "exec/IFunction.h"

#include "misc/tensor/Shape.h"
#include "ir/DataType.h"

#include <vector>
#include <memory>

namespace neurun
{
namespace backend
{
namespace custom
{

using Shape = nnfw::misc::tensor::Shape;

struct TypeInfo
{
  Shape shape;
  ir::DataType dtype;
};

struct CustomKernelConfigParams
{
  std::vector<void *> input_allocations;
  std::vector<TypeInfo> input_types;

  std::vector<void *> output_allocations;
  std::vector<TypeInfo> output_types;

  char *userdata;
  size_t userdata_size;
};

class IKernelBuilder
{
public:
  virtual ~IKernelBuilder() = default;
  virtual std::unique_ptr<exec::IFunction> buildKernel(const std::string &id,
                                                       CustomKernelConfigParams &&params) const = 0;
};

} // namespace custom

} // namespace backend

} // namespace neurun

#endif // __NEURUN_BACKEND_CUSTOM_KERNEL_BUILDER_H__