1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6
7 #include <armnn/INetwork.hpp>
8
9 #include <CommonTestUtils.hpp>
10 #include <ResolveType.hpp>
11
12 #include <doctest/doctest.h>
13
14 namespace
15 {
16
17 template<typename armnn::DataType DataType>
CreateReshapeNetwork(const armnn::TensorShape & inputShape,const armnn::TensorShape & outputShape,const armnn::ReshapeDescriptor & descriptor,const float qScale=1.0f,const int32_t qOffset=0)18 armnn::INetworkPtr CreateReshapeNetwork(const armnn::TensorShape& inputShape,
19 const armnn::TensorShape& outputShape,
20 const armnn::ReshapeDescriptor& descriptor,
21 const float qScale = 1.0f,
22 const int32_t qOffset = 0)
23 {
24 using namespace armnn;
25
26 INetworkPtr network(INetwork::Create());
27
28 TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true);
29 TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
30
31
32 IConnectableLayer* reshape = network->AddReshapeLayer(descriptor, "reshape");
33 IConnectableLayer* input = network->AddInputLayer(0, "input");
34 IConnectableLayer* output = network->AddOutputLayer(0, "output");
35
36 Connect(input, reshape, inputTensorInfo, 0, 0);
37 Connect(reshape, output, outputTensorInfo, 0, 0);
38
39 return network;
40 }
41
42 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
ReshapeEndToEnd(const std::vector<armnn::BackendId> & backends)43 void ReshapeEndToEnd(const std::vector<armnn::BackendId>& backends)
44 {
45 using namespace armnn;
46
47 const TensorShape& inputShape = { 2, 3 };
48 const TensorShape& outputShape = { 6 };
49
50 ReshapeDescriptor descriptor;
51 descriptor.m_TargetShape = outputShape;
52
53 INetworkPtr network = CreateReshapeNetwork<ArmnnType>(inputShape, outputShape, descriptor);
54
55 CHECK(network);
56
57 std::vector<T> data{ 1, 2, 3,
58 4, 5, 6 };
59
60 std::map<int, std::vector<T>> inputTensorData = { { 0, data } };
61 std::map<int, std::vector<T>> expectedOutputData = { { 0, data } };
62
63 EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
64 }
65
66 template<armnn::DataType ArmnnType>
ReshapeEndToEndFloat16(const std::vector<armnn::BackendId> & backends)67 void ReshapeEndToEndFloat16(const std::vector<armnn::BackendId>& backends)
68 {
69 using namespace armnn;
70 using namespace half_float::literal;
71 using Half = half_float::half;
72
73 const TensorShape& inputShape = { 2, 3 };
74 const TensorShape& outputShape = { 6 };
75
76 ReshapeDescriptor descriptor;
77 descriptor.m_TargetShape = outputShape;
78
79 INetworkPtr network = CreateReshapeNetwork<ArmnnType>(inputShape, outputShape, descriptor);
80 CHECK(network);
81
82 std::vector<Half> data{ 1._h, 2._h, 3._h,
83 4._h, 5._h, 6._h };
84
85 std::map<int, std::vector<Half>> inputTensorData = { { 0, data } };
86 std::map<int, std::vector<Half>> expectedOutputData = { { 0, data } };
87
88 EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
89 }
90
91 } // anonymous namespace
92