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Aron Virginas-Tar70104002018-10-24 15:33:28 +01001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
Aron Virginas-Tar56055192018-11-12 18:10:43 +00006#include "ClWorkloadFactoryHelper.hpp"
7
Aron Virginas-Tar70104002018-10-24 15:33:28 +01008#include <armnn/ArmNN.hpp>
Aron Virginas-Tarc9cc8042018-11-01 16:15:57 +00009#include <Network.hpp>
Aron Virginas-Tar70104002018-10-24 15:33:28 +010010
Aron Virginas-Tarc9cc8042018-11-01 16:15:57 +000011#include <test/GraphUtils.hpp>
Aron Virginas-Tar70104002018-10-24 15:33:28 +010012
Aron Virginas-Tarc9cc8042018-11-01 16:15:57 +000013#include <cl/ClWorkloadFactory.hpp>
Aron Virginas-Tar70104002018-10-24 15:33:28 +010014
15#include <boost/test/unit_test.hpp>
16
17BOOST_AUTO_TEST_SUITE(ClOptimizedNetwork)
18
19BOOST_AUTO_TEST_CASE(OptimizeValidateGpuDeviceSupportLayerNoFallback)
20{
21 // build up the structure of the network
22 armnn::INetworkPtr net(armnn::INetwork::Create());
23
24 armnn::IConnectableLayer* input = net->AddInputLayer(0);
25 armnn::IConnectableLayer* output = net->AddOutputLayer(0);
26
27 input->GetOutputSlot(0).Connect(output->GetInputSlot(0));
28 input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32));
29
30 armnn::IRuntime::CreationOptions options;
31 armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
32
33 std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
34 armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec());
35 BOOST_CHECK(optNet);
36 // validate workloads
Aron Virginas-Tar5caf9072018-11-14 18:35:18 +000037 armnn::ClWorkloadFactory fact =
38 ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager());
Aron Virginas-Tar70104002018-10-24 15:33:28 +010039 for (auto&& layer : static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph())
40 {
41 BOOST_CHECK(layer->GetBackendId() == armnn::Compute::GpuAcc);
42 BOOST_CHECK_NO_THROW(
Derek Lamberti94a88d22019-12-10 21:12:59 +000043 layer->CreateWorkload(fact));
Aron Virginas-Tar70104002018-10-24 15:33:28 +010044 }
45}
46
47BOOST_AUTO_TEST_CASE(FP16TurboModeTestOnGpuAcc)
48{
49 // Test to check when Fp16 Turbo mode set
50 // it converts the Fp32 network to Fp16 Network
51 // add Fp32ToFp16 conversion layer after the InputLayer
52 // add Fp16ToFp32 conversion layer after the OutputLayer
53 // checks the other layers if they are supported in Fp16
54 // if they are not put the conversion layers before and after
55 // if they are not supported in Fp16 use Fp32 instead
56 // if there are inverse conversion layers remove them with optimization
57 // at the moment FloorLayer is not supported in Fp16 so it rolls back to Fp32
58 // and inverse conversion layers are removed by the optimizer
59 armnn::Network net;
60
61 // Defines layers.
62 auto input = net.AddInputLayer(0, "input layer");
63 // ReLu1
64 armnn::ActivationDescriptor activation1Descriptor;
65 activation1Descriptor.m_Function = armnn::ActivationFunction::BoundedReLu;
66 activation1Descriptor.m_A = 1.f;
67 activation1Descriptor.m_B = -1.f;
68 auto activation = net.AddActivationLayer(activation1Descriptor, "activation layer");
69 auto output = net.AddOutputLayer(0, "output layer");
70
71 // Connects layers.
72 input->GetOutputSlot(0).Connect(activation->GetInputSlot(0));
73 activation->GetOutputSlot(0).Connect(output->GetInputSlot(0));
74
75 armnn::TensorShape shape({4});
76 armnn::TensorInfo info(shape, armnn::DataType::Float32);
77 input->GetOutputSlot(0).SetTensorInfo(info);
78 activation->GetOutputSlot(0).SetTensorInfo(info);
79
80 armnn::IRuntime::CreationOptions options;
81 armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
82
83 std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
84
85 armnn::OptimizerOptions optimizerOptions;
86 optimizerOptions.m_ReduceFp32ToFp16 = true;
87
88 armnn::IOptimizedNetworkPtr optimizedNet = armnn::Optimize(
89 net, backends, runtime->GetDeviceSpec(), optimizerOptions);
90
91 const armnn::Graph& graph = static_cast<armnn::OptimizedNetwork*>(optimizedNet.get())->GetGraph();
92
93 // Tests that all layers are present in the graph.
94 BOOST_TEST(graph.GetNumLayers() == 5);
95
96 // Tests that the vertices exist and have correct names.
97 BOOST_TEST(GraphHasNamedLayer(graph, "input layer"));
98 BOOST_TEST(GraphHasNamedLayer(graph, "convert_fp32_to_fp16-0-input layer"));
99 BOOST_TEST(GraphHasNamedLayer(graph, "activation layer"));
100 BOOST_TEST(GraphHasNamedLayer(graph, "convert_fp16_to_fp32-0-output layer"));
101 BOOST_TEST(GraphHasNamedLayer(graph, "output layer"));
102}
103
104BOOST_AUTO_TEST_SUITE_END();