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
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include <cl/ClBackend.hpp>
#include <neon/NeonBackend.hpp>
#include <reference/RefBackend.hpp>
#include <Network.hpp>
#include <vector>
#include <string>
using namespace armnn;
BOOST_AUTO_TEST_SUITE(BackendsCompatibility, * boost::unit_test::disabled())
BOOST_AUTO_TEST_CASE(Neon_Cl_DirectCompatibility_Test)
{
auto neonBackend = std::make_unique<NeonBackend>();
auto clBackend = std::make_unique<ClBackend>();
TensorHandleFactoryRegistry registry;
neonBackend->RegisterTensorHandleFactories(registry);
clBackend->RegisterTensorHandleFactories(registry);
const BackendId& neonBackendId = neonBackend->GetId();
const BackendId& clBackendId = clBackend->GetId();
BackendsMap backends;
backends[neonBackendId] = std::move(neonBackend);
backends[clBackendId] = std::move(clBackend);
armnn::Graph graph;
armnn::InputLayer* const inputLayer = graph.AddLayer<armnn::InputLayer>(0, "input");
inputLayer->SetBackendId(neonBackendId);
armnn::SoftmaxDescriptor smDesc;
armnn::SoftmaxLayer* const softmaxLayer1 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax1");
softmaxLayer1->SetBackendId(clBackendId);
armnn::SoftmaxLayer* const softmaxLayer2 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax2");
softmaxLayer2->SetBackendId(neonBackendId);
armnn::SoftmaxLayer* const softmaxLayer3 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax3");
softmaxLayer3->SetBackendId(clBackendId);
armnn::SoftmaxLayer* const softmaxLayer4 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax4");
softmaxLayer4->SetBackendId(neonBackendId);
armnn::OutputLayer* const outputLayer = graph.AddLayer<armnn::OutputLayer>(0, "output");
outputLayer->SetBackendId(clBackendId);
inputLayer->GetOutputSlot(0).Connect(softmaxLayer1->GetInputSlot(0));
softmaxLayer1->GetOutputSlot(0).Connect(softmaxLayer2->GetInputSlot(0));
softmaxLayer2->GetOutputSlot(0).Connect(softmaxLayer3->GetInputSlot(0));
softmaxLayer3->GetOutputSlot(0).Connect(softmaxLayer4->GetInputSlot(0));
softmaxLayer4->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
graph.TopologicalSort();
std::vector<std::string> errors;
auto result = SelectTensorHandleStrategy(graph, backends, registry, true, errors);
BOOST_TEST(result.m_Error == false);
BOOST_TEST(result.m_Warning == false);
OutputSlot& inputLayerOut = inputLayer->GetOutputSlot(0);
OutputSlot& softmaxLayer1Out = softmaxLayer1->GetOutputSlot(0);
OutputSlot& softmaxLayer2Out = softmaxLayer2->GetOutputSlot(0);
OutputSlot& softmaxLayer3Out = softmaxLayer3->GetOutputSlot(0);
OutputSlot& softmaxLayer4Out = softmaxLayer4->GetOutputSlot(0);
// Check that the correct factory was selected
BOOST_TEST(inputLayerOut.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
BOOST_TEST(softmaxLayer1Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
BOOST_TEST(softmaxLayer2Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
BOOST_TEST(softmaxLayer3Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
BOOST_TEST(softmaxLayer4Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
// Check that the correct strategy was selected
BOOST_TEST((inputLayerOut.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
BOOST_TEST((softmaxLayer1Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
BOOST_TEST((softmaxLayer2Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
BOOST_TEST((softmaxLayer3Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
BOOST_TEST((softmaxLayer4Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
graph.AddCompatibilityLayers(backends, registry);
// Test for copy layers
int copyCount= 0;
graph.ForEachLayer([©Count](Layer* layer)
{
if (layer->GetType() == LayerType::MemCopy)
{
copyCount++;
}
});
BOOST_TEST(copyCount == 0);
// Test for import layers
int importCount= 0;
graph.ForEachLayer([&importCount](Layer *layer)
{
if (layer->GetType() == LayerType::MemImport)
{
importCount++;
}
});
BOOST_TEST(importCount == 0);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE(BackendCapability)
#if defined(ARMNNREF_ENABLED)
BOOST_AUTO_TEST_CASE(Ref_Backends_Capability_Test)
{
auto refBackend = std::make_unique<RefBackend>();
BOOST_CHECK(refBackend->HasCapability(armnn::BackendCapability::NonConstWeights));
BOOST_CHECK(!refBackend->HasCapability(armnn::BackendCapability::AsyncExecution));
}
#endif
#if defined(ARMCOMPUTENEON_ENABLED)
BOOST_AUTO_TEST_CASE(Neon_Backends_Capability_Test)
{
auto neonBackend = std::make_unique<NeonBackend>();
BOOST_CHECK(!neonBackend->HasCapability(armnn::BackendCapability::NonConstWeights));
}
#endif
#if defined(ARMCOMPUTECL_ENABLED)
BOOST_AUTO_TEST_CASE(Cl_Backends_Capability_Test)
{
auto clBackend = std::make_unique<ClBackend>();
BOOST_CHECK(!clBackend->HasCapability(armnn::BackendCapability::NonConstWeights));
}
#endif
BOOST_AUTO_TEST_SUITE_END()
|
