blob: ffae95d01477acac64255dddb3bbbebfb342a264 (
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
|
/*
* 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 "Convert.h"
#include <nncc/core/ADT/tensor/Shape.h>
#include <schema_generated.h>
using namespace nncc::core::ADT;
namespace tflimport
{
IndexVector as_index_vector(const flatbuffers::Vector<int32_t> *array)
{
const uint32_t size = array->size();
std::vector<int32_t> res(size);
for (uint32_t i = 0; i < size; i++)
{
res[i] = array->Get(i);
}
return res;
}
tensor::Shape as_tensor_shape(const flatbuffers::Vector<int32_t> *shape)
{
const uint32_t rank = shape->size();
tensor::Shape res;
res.resize(rank);
for (uint32_t axis = 0; axis < rank; ++axis)
{
res.dim(axis) = shape->Get(axis);
}
return res;
}
} // namespace tflimport
|
