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
|
// Generated from mean_float16.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::mean_float16 {
const TestModel& get_test_model() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {0},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}),
.dimensions = {1, 2, 2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, { // axis
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // keepDims
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.5f, 3.5f}),
.dimensions = {1, 2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::MEAN
}},
.outputIndexes = {3}
},
.minSupportedVersion = TestHalVersion::V1_2,
.referenced = {}
};
return model;
}
const auto dummy_test_model = TestModelManager::get().add("mean_float16", get_test_model());
} // namespace generated_tests::mean_float16
namespace generated_tests::mean_float16 {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {4},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {1, 2, 2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, { // axis
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // keepDims
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.5f, 3.5f}),
.dimensions = {1, 2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, { // input_new
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({1.0f, 2.0f, 3.0f, 4.0f}),
.dimensions = {1, 2, 2, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, { // dummy
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, { // param
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::MEAN
}},
.outputIndexes = {3}
},
.minSupportedVersion = TestHalVersion::V1_2,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("mean_float16_all_inputs_as_internal", get_test_model_all_inputs_as_internal());
} // namespace generated_tests::mean_float16
|