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
|
/*
* Copyright (c) 2019-2022 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/NEON/kernels/NEInstanceNormalizationLayerKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include "src/core/common/Registrars.h"
#include "src/core/CPP/Validate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/core/NEON/NEMath.h"
#include "src/core/NEON/wrapper/wrapper.h"
#include "src/cpu/kernels/instancenorm/list.h"
#include <arm_neon.h>
namespace arm_compute
{
namespace
{
struct InstanceNormSelectorData
{
DataType dt;
};
using InstanceNormSelctorPtr = std::add_pointer<bool(const InstanceNormSelectorData &data)>::type;
using InstanceNormUKernelPtr = std::add_pointer<void(ITensor *input,
ITensor *output,
float gamma,
float beta,
float epsilon,
bool use_mixed_precision,
const Window &window)>::type;
struct InstanceNormKernel
{
const char *name;
const InstanceNormSelctorPtr is_selected;
InstanceNormUKernelPtr ukernel;
};
static const InstanceNormKernel available_kernels[] = {
{"fp32_neon_instancenorm", [](const InstanceNormSelectorData &data) { return data.dt == DataType::F32; },
REGISTER_FP32_NEON(arm_compute::cpu::neon_fp32_instancenorm)},
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
{"fp16_neon_instancenorm", [](const InstanceNormSelectorData &data) { return data.dt == DataType::F16; },
REGISTER_FP16_NEON(arm_compute::cpu::neon_fp16_instancenorm)},
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
};
/** Micro-kernel selector
*
* @param[in] data Selection data passed to help pick the appropriate micro-kernel
*
* @return A matching micro-kernel else nullptr
*/
const InstanceNormKernel *get_implementation(const InstanceNormSelectorData &data)
{
for (const auto &uk : available_kernels)
{
if (uk.is_selected(data))
{
return &uk;
}
}
return nullptr;
}
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon)
{
ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
ARM_COMPUTE_UNUSED(gamma);
ARM_COMPUTE_UNUSED(beta);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(epsilon == 0.f, "Epsilon must be different than 0");
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(input, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_layout() == DataLayout::NHWC,
"NHWC data layout is not supported by the kernel directly");
if (output != nullptr && output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_channels() != output->num_channels(),
"Input and output have different number of channels");
}
return Status{};
}
std::tuple<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
{
// We handle the planes manually
Window win = calculate_max_window(*input, Steps(1));
// Output auto initialization if not yet initialized
auto_init_if_empty(*output, input->tensor_shape(), 1, input->data_type());
// NEInstanceNormalizationLayerKernel doesn't need padding so update_window_and_padding() can be skipped
return std::make_pair(Status{}, win);
}
} // namespace
NEInstanceNormalizationLayerKernel::NEInstanceNormalizationLayerKernel()
: _input(nullptr), _output(nullptr), _gamma(1), _beta(0), _epsilon(1e-12)
{
}
void NEInstanceNormalizationLayerKernel::configure(ITensor *input,
ITensor *output,
const InstanceNormalizationLayerKernelInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input);
_input = input;
_output = output == nullptr ? input : output;
_gamma = info.gamma;
_beta = info.beta;
_epsilon = info.epsilon;
_use_mixed_precision = info.use_mixed_precision;
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(_input->info(), _output->info(), _gamma, _beta, _epsilon));
// Configure kernel window
auto win_config = validate_and_configure_window(_input->info(), _output->info());
ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config));
INEKernel::configure(std::get<1>(win_config));
}
Status NEInstanceNormalizationLayerKernel::validate(const ITensorInfo *input,
const ITensorInfo *output,
const InstanceNormalizationLayerKernelInfo &info)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info.gamma, info.beta, info.epsilon));
ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window(
input->clone().get(), (output == nullptr ? input->clone().get() : output->clone().get()))));
return Status{};
}
void NEInstanceNormalizationLayerKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
const auto *uk = get_implementation(InstanceNormSelectorData{_input->info()->data_type()});
ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
uk->ukernel(_input, _output, _gamma, _beta, _epsilon, _use_mixed_precision, window);
}
} // namespace arm_compute
|
