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
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
|
//
// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserFlatbuffersFixture.hpp"
#include <armnn/LayerVisitorBase.hpp>
#include <armnn/utility/Assert.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <layers/StandInLayer.hpp>
#include <sstream>
#include <vector>
TEST_SUITE("TensorflowLiteParser_Unsupported")
{
using namespace armnn;
class StandInLayerVerifier : public LayerVisitorBase<VisitorThrowingPolicy>
{
public:
StandInLayerVerifier(const std::vector<TensorInfo>& inputInfos,
const std::vector<TensorInfo>& outputInfos)
: LayerVisitorBase<VisitorThrowingPolicy>()
, m_InputInfos(inputInfos)
, m_OutputInfos(outputInfos) {}
void VisitInputLayer(const IConnectableLayer*, LayerBindingId, const char*) override {}
void VisitOutputLayer(const IConnectableLayer*, LayerBindingId, const char*) override {}
void VisitStandInLayer(const IConnectableLayer* layer,
const StandInDescriptor& descriptor,
const char*) override
{
unsigned int numInputs = armnn::numeric_cast<unsigned int>(m_InputInfos.size());
CHECK(descriptor.m_NumInputs == numInputs);
CHECK(layer->GetNumInputSlots() == numInputs);
unsigned int numOutputs = armnn::numeric_cast<unsigned int>(m_OutputInfos.size());
CHECK(descriptor.m_NumOutputs == numOutputs);
CHECK(layer->GetNumOutputSlots() == numOutputs);
const StandInLayer* standInLayer = PolymorphicDowncast<const StandInLayer*>(layer);
for (unsigned int i = 0u; i < numInputs; ++i)
{
const OutputSlot* connectedSlot = standInLayer->GetInputSlot(i).GetConnectedOutputSlot();
CHECK(connectedSlot != nullptr);
const TensorInfo& inputInfo = connectedSlot->GetTensorInfo();
CHECK(inputInfo == m_InputInfos[i]);
}
for (unsigned int i = 0u; i < numOutputs; ++i)
{
const TensorInfo& outputInfo = layer->GetOutputSlot(i).GetTensorInfo();
CHECK(outputInfo == m_OutputInfos[i]);
}
}
private:
std::vector<TensorInfo> m_InputInfos;
std::vector<TensorInfo> m_OutputInfos;
};
class DummyCustomFixture : public ParserFlatbuffersFixture
{
public:
explicit DummyCustomFixture(const std::vector<TensorInfo>& inputInfos,
const std::vector<TensorInfo>& outputInfos)
: ParserFlatbuffersFixture()
, m_StandInLayerVerifier(inputInfos, outputInfos)
{
const unsigned int numInputs = armnn::numeric_cast<unsigned int>(inputInfos.size());
ARMNN_ASSERT(numInputs > 0);
const unsigned int numOutputs = armnn::numeric_cast<unsigned int>(outputInfos.size());
ARMNN_ASSERT(numOutputs > 0);
m_JsonString = R"(
{
"version": 3,
"operator_codes": [{
"builtin_code": "CUSTOM",
"custom_code": "DummyCustomOperator"
}],
"subgraphs": [ {
"tensors": [)";
// Add input tensors
for (unsigned int i = 0u; i < numInputs; ++i)
{
const TensorInfo& inputInfo = inputInfos[i];
m_JsonString += R"(
{
"shape": )" + GetTensorShapeAsString(inputInfo.GetShape()) + R"(,
"type": )" + GetDataTypeAsString(inputInfo.GetDataType()) + R"(,
"buffer": 0,
"name": "inputTensor)" + std::to_string(i) + R"(",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + std::to_string(inputInfo.GetQuantizationScale()) + R"( ],
"zero_point": [ )" + std::to_string(inputInfo.GetQuantizationOffset()) + R"( ],
}
},)";
}
// Add output tensors
for (unsigned int i = 0u; i < numOutputs; ++i)
{
const TensorInfo& outputInfo = outputInfos[i];
m_JsonString += R"(
{
"shape": )" + GetTensorShapeAsString(outputInfo.GetShape()) + R"(,
"type": )" + GetDataTypeAsString(outputInfo.GetDataType()) + R"(,
"buffer": 0,
"name": "outputTensor)" + std::to_string(i) + R"(",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + std::to_string(outputInfo.GetQuantizationScale()) + R"( ],
"zero_point": [ )" + std::to_string(outputInfo.GetQuantizationOffset()) + R"( ],
}
})";
if (i + 1 < numOutputs)
{
m_JsonString += ",";
}
}
const std::string inputIndices = GetIndicesAsString(0u, numInputs - 1u);
const std::string outputIndices = GetIndicesAsString(numInputs, numInputs + numOutputs - 1u);
// Add dummy custom operator
m_JsonString += R"(],
"inputs": )" + inputIndices + R"(,
"outputs": )" + outputIndices + R"(,
"operators": [
{
"opcode_index": 0,
"inputs": )" + inputIndices + R"(,
"outputs": )" + outputIndices + R"(,
"builtin_options_type": 0,
"custom_options": [ ],
"custom_options_format": "FLEXBUFFERS"
}
],
} ],
"buffers" : [
{ },
{ }
]
}
)";
ReadStringToBinary();
}
void RunTest()
{
INetworkPtr network = m_Parser->CreateNetworkFromBinary(m_GraphBinary);
network->Accept(m_StandInLayerVerifier);
}
private:
static std::string GetTensorShapeAsString(const TensorShape& tensorShape)
{
std::stringstream stream;
stream << "[ ";
for (unsigned int i = 0u; i < tensorShape.GetNumDimensions(); ++i)
{
stream << tensorShape[i];
if (i + 1 < tensorShape.GetNumDimensions())
{
stream << ",";
}
stream << " ";
}
stream << "]";
return stream.str();
}
static std::string GetDataTypeAsString(DataType dataType)
{
switch (dataType)
{
case DataType::Float32: return "FLOAT32";
case DataType::QAsymmU8: return "UINT8";
default: return "UNKNOWN";
}
}
static std::string GetIndicesAsString(unsigned int first, unsigned int last)
{
std::stringstream stream;
stream << "[ ";
for (unsigned int i = first; i <= last ; ++i)
{
stream << i;
if (i + 1 <= last)
{
stream << ",";
}
stream << " ";
}
stream << "]";
return stream.str();
}
StandInLayerVerifier m_StandInLayerVerifier;
};
class DummyCustom1Input1OutputFixture : public DummyCustomFixture
{
public:
DummyCustom1Input1OutputFixture()
: DummyCustomFixture({ TensorInfo({ 1, 1 }, DataType::Float32) },
{ TensorInfo({ 2, 2 }, DataType::Float32) }) {}
};
class DummyCustom2Inputs1OutputFixture : public DummyCustomFixture
{
public:
DummyCustom2Inputs1OutputFixture()
: DummyCustomFixture({ TensorInfo({ 1, 1 }, DataType::Float32), TensorInfo({ 2, 2 }, DataType::Float32) },
{ TensorInfo({ 3, 3 }, DataType::Float32) }) {}
};
TEST_CASE_FIXTURE(DummyCustom1Input1OutputFixture, "UnsupportedCustomOperator1Input1Output")
{
RunTest();
}
TEST_CASE_FIXTURE(DummyCustom2Inputs1OutputFixture, "UnsupportedCustomOperator2Inputs1Output")
{
RunTest();
}
}
|
