1 //
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #pragma once
7
8 #include "CommonTestUtils.hpp"
9
10 #include <armnn/INetwork.hpp>
11 #include <armnn/TypesUtils.hpp>
12
13 #include <ResolveType.hpp>
14
15 namespace
16 {
17
CreateRankNetwork(const armnn::TensorInfo & inputTensorInfo,const armnn::TensorInfo & outputTensorInfo)18 armnn::INetworkPtr CreateRankNetwork(const armnn::TensorInfo& inputTensorInfo,
19 const armnn::TensorInfo& outputTensorInfo)
20 {
21 armnn::INetworkPtr network(armnn::INetwork::Create());
22
23 armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0, "Input");
24 armnn::IConnectableLayer* rankLayer = network->AddRankLayer("Rank");
25 armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0, "Output");
26
27 Connect(inputLayer, rankLayer, inputTensorInfo, 0, 0);
28 Connect(rankLayer, outputLayer, outputTensorInfo, 0, 0);
29
30 return network;
31 }
32
33 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
RankEndToEnd(const std::vector<armnn::BackendId> & backends)34 void RankEndToEnd(const std::vector<armnn::BackendId>& backends)
35 {
36 using namespace armnn;
37
38 std::vector<float> floatInputData{
39 1, 2, 3, 4, 5,
40 11, 12, 13, 14, 15,
41 21, 22, 23, 24, 25
42 };
43 std::vector<T> inputData = armnnUtils::QuantizedVector<T>(floatInputData);
44
45 std::vector<int32_t> expectedOutputData{ 4 };
46
47 TensorInfo inputInfo ({ 1, 1, 5, 3 }, ArmnnType);
48 TensorShape outputShape (Dimensionality::Scalar);
49 TensorInfo outputInfo(outputShape, DataType::Signed32);
50
51 armnn::INetworkPtr network = CreateRankNetwork(inputInfo, outputInfo);
52
53 BOOST_TEST_CHECKPOINT("create a network");
54
55 std::map<int, std::vector<T>> inputTensorData = {{ 0, inputData }};
56 std::map<int, std::vector<int32_t>> expectedOutputTensorData = {{ 0, expectedOutputData }};
57
58 EndToEndLayerTestImpl<ArmnnType, DataType::Signed32>(move(network),
59 inputTensorData,
60 expectedOutputTensorData,
61 backends);
62 }
63
64 } // anonymous namespace