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
|
/*
* Copyright (c) 2017-2021 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 "src/core/gpu/cl/kernels/ClDequantizationKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/Cast.h"
#include "support/StringSupport.h"
namespace arm_compute
{
namespace opencl
{
namespace kernels
{
namespace
{
Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL, DataType::QSYMM8, DataType::QSYMM16);
if(dst->tensor_shape().total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(dst);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
}
return Status{};
}
} // namespace
ClDequantizationKernel::ClDequantizationKernel()
{
}
void ClDequantizationKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
// Output tensor auto initialization if not yet initialized
auto_init_if_empty(*dst, src->tensor_shape(), 1, DataType::F32);
auto padding_info = get_padding_info({ src, dst });
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst));
const int vec_size_x = 16 / dst->element_size();
const int output_width_x = dst->tensor_shape().x();
const bool multi_access_x = (output_width_x / vec_size_x > 0);
const bool is_quantized_per_channel = is_data_type_quantized_per_channel(src->data_type());
std::string kernel_name = "dequantization_layer";
// Create kernel
CLBuildOptions build_opts;
if(!is_quantized_per_channel)
{
const UniformQuantizationInfo qinfo = src->quantization_info().uniform();
const int qoffset = is_data_type_quantized_asymmetric(src->data_type()) ? qinfo.offset : 0;
build_opts.add_option("-DSCALE=" + float_to_string_with_full_precision(qinfo.scale));
build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(qoffset));
}
else
{
kernel_name += "_per_channel";
kernel_name += src->data_layout() == DataLayout::NCHW ? "_nchw" : "_nhwc";
}
build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
build_opts.add_option("-DDATA_TYPE_SRC=" + get_cl_type_from_data_type(src->data_type()));
build_opts.add_option("-DDATA_TYPE_DST=" + get_cl_type_from_data_type(dst->data_type()));
build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
// Create kernel name
_kernel = create_kernel(compile_context, kernel_name, build_opts.options());
// Configure kernel window
Window win = calculate_max_window(*dst);
if(multi_access_x)
{
win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
}
ICLKernel::configure_internal(win);
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}
Status ClDequantizationKernel::validate(const ITensorInfo *src, const ITensorInfo *dst)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst));
return Status{};
}
void ClDequantizationKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
const bool is_quantized_per_channel = is_data_type_quantized_per_channel(src->info()->data_type());
// Collapse windo
Window new_window = is_quantized_per_channel ? window.collapse_if_possible(ICLKernel::window(), 4) : window.collapse_if_possible(ICLKernel::window(), 3);
Window slice = new_window.first_slice_window_3D();
if(is_quantized_per_channel)
{
unsigned int idx = num_arguments_per_3D_tensor() * 2; //Skip the input and output parameters
_kernel.setArg(idx++, src->quantization().scale->cl_buffer());
}
do
{
unsigned int idx = 0;
add_3D_tensor_argument(idx, src, slice);
add_3D_tensor_argument(idx, dst, slice);
enqueue(queue, *this, slice, lws_hint());
}
while(new_window.slide_window_slice_3D(slice));
}
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
|
