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
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
|
/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2016-2018 ARM Limited.
*
* 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 "arm_compute/core/CL/kernels/CLGatherExKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibraryEx.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/UtilsEx.h"
using namespace arm_compute;
namespace
{
inline TensorShape compute_gather_shape(const TensorShape &input_shape,
const TensorShape &indices_shape, uint32_t actual_axis)
{
ARM_COMPUTE_ERROR_ON(indices_shape.num_dimensions() > 3);
ARM_COMPUTE_ERROR_ON(input_shape.num_dimensions() > 4);
ARM_COMPUTE_ERROR_ON(input_shape.num_dimensions() + indices_shape.num_dimensions() - 1 > 4);
ARM_COMPUTE_ERROR_ON(actual_axis >= input_shape.num_dimensions());
TensorShape output_shape = input_shape;
if (indices_shape.num_dimensions() == 1)
{
output_shape[actual_axis] = indices_shape[0];
}
else if (indices_shape.num_dimensions() > 1)
{
output_shape.shift_right(indices_shape.num_dimensions() - 1);
for (uint32_t i = 0, o = 0; o < output_shape.num_dimensions(); ++o, ++i)
{
if (o == actual_axis)
{
++i;
for (uint32_t in = 0; in < indices_shape.num_dimensions(); ++in, ++o)
{
output_shape[o] = indices_shape[in];
}
}
else
{
output_shape[o] = input_shape[i];
}
}
}
return output_shape;
}
/** Wrap-around a number within the range 0 <= x < m
*
* @param[in] x Input value
* @param[in] m Range
*
* @return the wrapped-around number
*/
template <typename T> inline T wrap_around(T x, T m) { return x >= 0 ? x % m : (x % m + m) % m; }
inline Status validate_arguments(const ITensorInfo *input, const ITensorInfo *indices,
const ITensorInfo *output, int axis)
{
const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input->num_dimensions()));
ARM_COMPUTE_RETURN_ERROR_ON(indices->num_dimensions() > 3);
ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
ARM_COMPUTE_ERROR_ON(input->num_dimensions() + indices->num_dimensions() - 1 > 4);
ARM_COMPUTE_RETURN_ERROR_ON(actual_axis >= input->num_dimensions());
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(
input, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16,
DataType::U32, DataType::S32, DataType::F16, DataType::F32);
if (output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
TensorShape output_shape =
compute_gather_shape(input->tensor_shape(), indices->tensor_shape(), actual_axis);
ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() != output->tensor_shape().total_size());
}
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(indices, 1, DataType::U32, DataType::S32);
return Status{};
}
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *indices,
ITensorInfo *output, int axis)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, indices);
const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input->num_dimensions()));
std::unique_ptr<ITensorInfo> output_info = input->clone();
output_info->set_tensor_shape(
compute_gather_shape(input->tensor_shape(), indices->tensor_shape(), actual_axis));
// Output auto initialization if not yet initialized
auto_init_if_empty((*output), output_info->tensor_shape(), 1, input->data_type());
// Create window
Window win = calculate_max_window(*output, Steps());
output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
return std::make_pair(Status{}, win);
}
} // namespace
CLGatherExKernel::CLGatherExKernel()
: _input(nullptr), _indices(nullptr), _output(nullptr), _axis(0)
{
}
void CLGatherExKernel::configure(const ICLTensor *input, const ICLTensor *indices,
ICLTensor *output, int axis)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, indices);
ARM_COMPUTE_ERROR_THROW_ON(
validate_arguments(input->info(), indices->info(), output->info(), axis));
// Configure kernel window
auto win_config =
validate_and_configure_window(input->info(), indices->info(), output->info(), axis);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
_input = input;
_output = output;
_indices = indices;
_axis = wrap_around(axis, static_cast<int>(input->info()->num_dimensions()));
// Set build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.add_option("-DOUTPUT_DIM_Z=" +
support::cpp11::to_string(output->info()->dimension(2)));
build_opts.add_option("-DINPUT_DIM_Z=" + support::cpp11::to_string(input->info()->dimension(2)));
build_opts.add_option("-DAXIS=" + support::cpp11::to_string(_axis));
build_opts.add_option("-DINDICES_DIM=" +
support::cpp11::to_string(indices->info()->num_dimensions()));
// Create kernel
_kernel = static_cast<cl::Kernel>(
CLKernelLibraryEx::get().create_kernel("gather_ex", build_opts.options()));
ICLKernel::configure_internal(win_config.second);
}
Status CLGatherExKernel::validate(const ITensorInfo *input, const ITensorInfo *indices,
const ITensorInfo *output, int axis)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, indices, output, axis));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(),
indices->clone().get(),
output->clone().get(), axis)
.first);
return Status{};
}
void CLGatherExKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ, 4);
unsigned int idx = 0;
add_4D_tensor_argument(idx, _input, window_collapsed);
add_3D_tensor_argument(idx, _indices, window_collapsed);
add_4D_tensor_argument(idx, _output, window_collapsed);
enqueue(queue, *this, window_collapsed, lws_hint());
}
|
