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
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
|
/*
* Copyright (c) 2017-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/core/GLES_COMPUTE/kernels/GCCol2ImKernel.h"
#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h"
#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h"
#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h"
#include "arm_compute/core/GLES_COMPUTE/OpenGLES.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "support/StringSupport.h"
using namespace arm_compute;
GCCol2ImKernel::GCCol2ImKernel()
: _input(nullptr), _output(nullptr), _convolved_dims()
{
}
void GCCol2ImKernel::configure(const IGCTensor *input, IGCTensor *output,
std::pair<unsigned int, unsigned int> convolved_dims)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_NULLPTR(output);
TensorShape output_shape = input->info()->tensor_shape();
output_shape.set(0, convolved_dims.first);
output_shape.set(1, convolved_dims.second);
output_shape.set(2, input->info()->tensor_shape()[0]);
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
_input = input;
_output = output;
_convolved_dims = convolved_dims;
const DataType dt = input->info()->data_type();
const unsigned int local_size = 1;
// Create kernel
std::set<std::string> build_opts;
build_opts.emplace("#define COL2IM ");
build_opts.emplace("#define WIDTH_OUTPUT " + support::cpp11::to_string(_convolved_dims.first));
const std::string dt_name = (dt == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
build_opts.emplace(("#define " + dt_name));
build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(local_size));
build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(local_size));
build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(local_size));
_kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("col2im", build_opts));
// Configure window
const unsigned int num_elems_processed_per_iteration = (dt == DataType::F32) ? 1 : 2;
Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
const int input_padding = ceil_to_multiple(input->info()->dimension(0), 2) - input->info()->dimension(0);
AccessWindowStatic input_access(input->info(), 0, 0, input->info()->dimension(0) + input_padding, input->info()->dimension(1) + 1);
update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, output->info()->valid_region());
IGCKernel::configure(win);
}
void GCCol2ImKernel::run(const Window &window)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IGCKernel::window(), window);
_kernel.use();
Window collapsed_window = window.collapse_if_possible(IGCKernel::window(), Window::DimZ);
Window slice = collapsed_window.first_slice_window_3D();
// Set static kernel arguments
unsigned int idx = 2 * num_arguments_per_3D_tensor();
//_kernel.set_argument(idx++, _output->info()->strides_in_bytes()[3]);
_kernel.set_argument(idx++, uint(_output->info()->dimension(2)));
_kernel.set_argument(idx++, _input->info()->strides_in_bytes()[2]);
do
{
// Set inputs
unsigned int idx = 0;
add_2D_tensor_argument(idx, _input, 1, slice);
add_3D_tensor_argument(idx, _output, 2, slice);
_kernel.update_shader_params();
enqueue(*this, slice);
}
while(collapsed_window.slide_window_slice_3D(slice));
}
|
