blob: 21ef16526eca1631e17c2756626805d448c5e97b (
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
|
/*
* Copyright (c) 2023 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 __ONERT_TRAIN_H5FORMATTER_H__
#define __ONERT_TRAIN_H5FORMATTER_H__
#include "allocation.h"
#include "formatter.h"
#include "types.h"
#include <string>
#include <vector>
struct nnfw_session;
namespace onert_train
{
class H5Formatter : public Formatter
{
public:
H5Formatter(nnfw_session *sess) : Formatter(sess) {}
std::vector<TensorShape> readTensorShapes(const std::string &filename) override;
void loadInputs(const std::string &filename, std::vector<Allocation> &inputs) override;
void dumpOutputs(const std::string &filename, std::vector<Allocation> &outputs) override;
};
} // namespace onert_train
#endif // __ONERT_TRAIN_H5FORMATTER_H__
|