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
|
/*
* Copyright (c) 2020 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 "CompareLayer.h"
#include "OperationUtils.h"
#include <assert.h>
#include <cker/operation/Comparison.h>
using namespace nnfw::cker;
namespace onert
{
namespace backend
{
namespace cpu
{
namespace ops
{
namespace
{
using OpType = onert::ir::operation::Comparison::ComparisonType;
using namespace onert::backend::cpu;
// Assumes these enum values to be in the order like this
static_assert(static_cast<int>(OpType::Equal) == 0, "An OpType value has changed!");
static_assert(static_cast<int>(OpType::NotEqual) == 1, "An OpType value has changed!");
static_assert(static_cast<int>(OpType::Greater) == 2, "An OpType value has changed!");
static_assert(static_cast<int>(OpType::GreaterEqual) == 3, "An OpType value has changed!");
static_assert(static_cast<int>(OpType::Less) == 4, "An OpType value has changed!");
static_assert(static_cast<int>(OpType::LessEqual) == 5, "An OpType value has changed!");
template <typename T>
void compareQuant8(const IPortableTensor *lhs, const IPortableTensor *rhs, IPortableTensor *output,
OpType op_type)
{
nnfw::cker::ComparisonParams params;
params.left_shift = 8;
params.input1_offset = -lhs->data_zero_point();
params.input2_offset = -rhs->data_zero_point();
const double norm_max_scale =
2 * std::max(std::abs(lhs->data_scale()), std::abs(rhs->data_scale()));
const double adjusted_lhs_scale = lhs->data_scale() / norm_max_scale;
const double adjusted_rhs_scale = rhs->data_scale() / norm_max_scale;
QuantizeMultiplierSmallerThanOneExp(adjusted_lhs_scale, ¶ms.input1_multiplier,
¶ms.input1_shift);
QuantizeMultiplierSmallerThanOneExp(adjusted_rhs_scale, ¶ms.input2_multiplier,
¶ms.input2_shift);
params.is_broadcast = !HaveSameShapes(lhs, rhs);
using CompareFunction = void (*)(
ComparisonParams & params, const Shape &input1_shape, const T *input1_data,
const Shape &input2_shape, const T *input2_data, const Shape &output_shape, bool *output_data);
static const CompareFunction broadcast_fns[] = {
Broadcast4DSlowEqualWithScaling, Broadcast4DSlowNotEqualWithScaling,
Broadcast4DSlowGreaterWithScaling, Broadcast4DSlowGreaterEqualWithScaling,
Broadcast4DSlowLessWithScaling, Broadcast4DSlowLessEqualWithScaling,
};
static const CompareFunction non_broadcast_fns[] = {
EqualWithScaling, NotEqualWithScaling, GreaterWithScaling,
GreaterEqualWithScaling, LessWithScaling, LessEqualWithScaling,
};
static_assert(sizeof(broadcast_fns) == sizeof(non_broadcast_fns),
"Sizes of broadcast_fns and non_broadcast_fns must match!");
auto index = static_cast<int>(op_type);
if (index < 0 || index >= static_cast<int>(sizeof(broadcast_fns) / sizeof(broadcast_fns[0])))
throw std::runtime_error{"Invalid OpType for CompareLayer"};
CompareFunction fn = (params.is_broadcast ? broadcast_fns[index] : non_broadcast_fns[index]);
fn(params, getExtendedTensorShape(lhs), getBuffer<T>(lhs), getExtendedTensorShape(rhs),
getBuffer<T>(rhs), getExtendedTensorShape(output), getBuffer<bool>(output));
}
template <typename T>
void compareScalar(const IPortableTensor *lhs, const IPortableTensor *rhs, IPortableTensor *output,
OpType op_type)
{
bool requires_broadcast = !HaveSameShapes(lhs, rhs);
using CompareFunction =
void (*)(const Shape &input1_shape, const T *input1_data, const Shape &input2_shape,
const T *input2_data, const Shape &output_shape, bool *output_data);
static const CompareFunction broadcast_fns[] = {
Broadcast4DSlowEqual, Broadcast4DSlowNotEqual, Broadcast4DSlowGreater,
Broadcast4DSlowGreaterEqual, Broadcast4DSlowLess, Broadcast4DSlowLessEqual,
};
static const CompareFunction non_broadcast_fns[] = {
EqualNoScaling, NotEqualNoScaling, GreaterNoScaling,
GreaterEqualNoScaling, LessNoScaling, LessEqualNoScaling,
};
static_assert(sizeof(broadcast_fns) == sizeof(non_broadcast_fns),
"Sizes of broadcast_fns and non_broadcast_fns must match!");
auto index = static_cast<int>(op_type);
if (index < 0 || index >= static_cast<int>(sizeof(broadcast_fns) / sizeof(broadcast_fns[0])))
throw std::runtime_error{"Invalid OpType for CompareLayer"};
CompareFunction fn = (requires_broadcast ? broadcast_fns[index] : non_broadcast_fns[index]);
fn(getExtendedTensorShape(lhs), getBuffer<T>(lhs), getExtendedTensorShape(rhs), getBuffer<T>(rhs),
getExtendedTensorShape(output), getBuffer<bool>(output));
}
} // namespace
CompareLayer::CompareLayer()
: _lhs(nullptr), _rhs(nullptr), _output(nullptr),
_op_type(ir::operation::Comparison::ComparisonType::Equal)
{
// DO NOTHING
}
void CompareLayer::configure(const IPortableTensor *lhs, const IPortableTensor *rhs,
const OpType op_type, IPortableTensor *output)
{
_lhs = lhs;
_rhs = rhs;
_op_type = op_type;
_output = output;
}
void CompareLayer::run()
{
if (_lhs->data_type() == OperandType::FLOAT32)
{
compareScalar<float>(_lhs, _rhs, _output, _op_type);
}
else if (_lhs->data_type() == OperandType::INT32)
{
compareScalar<int32_t>(_lhs, _rhs, _output, _op_type);
}
else if (_lhs->data_type() == OperandType::INT64)
{
compareScalar<int64_t>(_lhs, _rhs, _output, _op_type);
}
else if (_lhs->data_type() == OperandType::BOOL8)
{
compareScalar<uint8_t>(_lhs, _rhs, _output, _op_type);
}
else if (_lhs->data_type() == OperandType::QUANT_UINT8_ASYMM)
{
compareQuant8<uint8_t>(_lhs, _rhs, _output, _op_type);
}
else
{
throw std::runtime_error{"Compare: unsupported data type"};
}
}
} // namespace ops
} // namespace cpu
} // namespace backend
} // namespace onert
|
