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
|
/*
* 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 "internal/arm_compute.h"
#include "SimpleUnpackLayer.h"
void SimpleUnpackLayer::configure(::arm_compute::ICLTensor *input,
const std::vector<::arm_compute::ICLTensor *> &output_vector,
int32_t axis)
{
uint32_t nr_outputs = output_vector.size();
_cl_permuted_vector.resize(nr_outputs);
_cl_permute_vector.resize(nr_outputs);
uint32_t input_rank = input->info()->num_dimensions();
const ::arm_compute::PermutationVector pv{2, 0, 1};
_input = input;
// Negatige axis is supported, -1 implies R-1 axis where R is input rank
if (axis < 0)
{
axis += input_rank;
}
_axis = ToARMComputeAxis(input_rank, axis).value();
_cl_reshape_vector.resize(nr_outputs);
::arm_compute::TensorShape subTensor_shape{};
for (int i = 0; i < input_rank; i++)
{
if (i != _axis)
{
subTensor_shape.set(i, _input->info()->tensor_shape()[i]);
}
else
{
subTensor_shape.set(i, 1);
}
}
auto subTensor_offset = ::arm_compute::Coordinates{};
subTensor_offset.set_num_dimensions(input_rank);
for (int i = 0; i < output_vector.size(); i++)
{
_output_vector.push_back(output_vector[i]);
subTensor_offset[_axis] = i;
auto temp_tensor = std::make_shared<::arm_compute::CLSubTensor>(
CAST_CL(_input), subTensor_shape, subTensor_offset, true);
_sub_tensor_vector.push_back(temp_tensor);
// Copies into the subtensor
_cl_permute_vector[i].configure(_sub_tensor_vector[i].get(), &_cl_permuted_vector[i], pv);
_cl_reshape_vector[i].configure(&_cl_permuted_vector[i], CAST_CL(_output_vector[i]));
_cl_permuted_vector[i].allocator()->allocate();
}
}
void SimpleUnpackLayer::run(void)
{
for (int i = 0; i < _output_vector.size(); i++)
{
_cl_permute_vector[i].run();
_cl_reshape_vector[i].run();
}
}
|