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
70
71
72
73
74
75
76
77
78
79
80
81
|
/*
* Copyright (c) 2020 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 "kernels/Reverse.h"
#include "kernels/Utils.h"
#include <tensorflow/lite/kernels/internal/reference/reference_ops.h>
namespace luci_interpreter
{
namespace kernels
{
Reverse::Reverse(const Tensor *input, const Tensor *axes, Tensor *output)
: Kernel({input, axes}, {output})
{
}
void Reverse::configure()
{
assert(axes()->shape().num_dims() == 1);
assert(input()->shape().num_dims() >= axes()->shape().num_elements());
if (input()->element_type() != DataType::S32 && input()->element_type() != DataType::FLOAT32 &&
input()->element_type() != DataType::U8 && input()->element_type() != DataType::S16 &&
input()->element_type() != DataType::S64)
{
throw std::runtime_error("Unsupported input type.");
}
if (axes()->element_type() != DataType::S32)
{
throw std::runtime_error("Unsupported axes type.");
}
if (axes()->shape().num_elements() > 1)
{
throw std::runtime_error("Current implementation does not support more than 1 axis.");
}
int axis_value = getTensorData<int32_t>(axes())[0];
if (axis_value < 0 || axis_value >= input()->shape().num_dims())
{
throw std::runtime_error("Invalid axes value");
}
assert(input()->element_type() == output()->element_type());
output()->resize(input()->shape());
}
void Reverse::execute() const
{
int axis_value = getTensorData<int32_t>(axes())[0];
switch (output()->element_type())
{
case DataType::FLOAT32:
tflite::reference_ops::Reverse<float>(axis_value, getTensorShape(input()),
getTensorData<float>(input()), getTensorShape(output()),
getTensorData<float>(output()));
break;
case DataType::U8:
tflite::reference_ops::Reverse<uint8_t>(
axis_value, getTensorShape(input()), getTensorData<uint8_t>(input()),
getTensorShape(output()), getTensorData<uint8_t>(output()));
break;
default:
throw std::runtime_error("Unsupported output type");
}
}
} // namespace kernels
} // namespace luci_interpreter
|