blob: f734a948ab9b5ebf957e06488d53ae34e48cabce [file] [log] [blame]
Teresa Charlin44088502020-07-27 11:27:19 +01001//
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
15namespace
16{
17
18armnn::INetworkPtr CreateFillNetwork(const armnn::TensorInfo& inputTensorInfo,
19 const armnn::TensorInfo& outputTensorInfo,
20 armnn::FillDescriptor descriptor)
21{
22 armnn::INetworkPtr network(armnn::INetwork::Create());
23
24 armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0, "Input");
25 armnn::IConnectableLayer* fillLayer = network->AddFillLayer(descriptor, "Fill");
26 armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0, "Output");
27
28 Connect(inputLayer, fillLayer, inputTensorInfo, 0, 0);
29 Connect(fillLayer, outputLayer, outputTensorInfo, 0, 0);
30
31 return network;
32}
33
34template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
35void FillEndToEnd(const std::vector<armnn::BackendId>& backends)
36{
37 using namespace armnn;
38
39 FillDescriptor descriptor;
40 descriptor.m_Value = 9;
41
42 std::vector<T> inputData{
43 1, 1, 5, 3
44 };
45
46 std::vector<T> expectedOutputData{
47 9, 9, 9, 9, 9,
48 9, 9, 9, 9, 9,
49 9, 9, 9, 9, 9
50 };
51
52 TensorInfo inputInfo ({ 4 }, ArmnnType);
53 TensorInfo outputInfo({ 1, 1, 5, 3 }, ArmnnType);
54
55 armnn::INetworkPtr network = CreateFillNetwork(inputInfo, outputInfo, descriptor);
56
57 BOOST_TEST_CHECKPOINT("create a network");
58
59 std::map<int, std::vector<T>> inputTensorData = {{ 0, inputData }};
60 std::map<int, std::vector<T>> expectedOutputTensorData = {{ 0, expectedOutputData }};
61
62 EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(network), inputTensorData, expectedOutputTensorData, backends);
63}
64
65} // anonymous namespace