1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "FloorTestImpl.hpp"
7
8 #include <DataTypeUtils.hpp>
9 #include <armnnTestUtils/TensorCopyUtils.hpp>
10 #include <armnnTestUtils/WorkloadTestUtils.hpp>
11
12 #include <armnnTestUtils/TensorHelpers.hpp>
13
14 template<armnn::DataType ArmnnType, typename T>
SimpleFloorTest(armnn::IWorkloadFactory & workloadFactory,const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,const armnn::ITensorHandleFactory & tensorHandleFactory)15 LayerTestResult<T, 4> SimpleFloorTest(
16 armnn::IWorkloadFactory& workloadFactory,
17 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
18 const armnn::ITensorHandleFactory& tensorHandleFactory)
19 {
20 IgnoreUnused(memoryManager);
21 armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType);
22 inputTensorInfo.SetQuantizationScale(0.1f);
23
24 armnn::TensorInfo outputTensorInfo(inputTensorInfo);
25 outputTensorInfo.SetQuantizationScale(0.1f);
26
27 std::vector<T> input = ConvertToDataType<ArmnnType>(
28 {
29 -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
30 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
31 },
32 inputTensorInfo);
33
34 std::vector<T> actualOutput(outputTensorInfo.GetNumElements());
35 std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
36 {
37 -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
38 1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f
39 },
40 outputTensorInfo);
41
42 std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
43 std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
44
45 armnn::FloorQueueDescriptor data;
46 armnn::WorkloadInfo info;
47 AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
48 AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
49
50 std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Floor, data, info);
51
52 inputHandle->Allocate();
53 outputHandle->Allocate();
54
55 CopyDataToITensorHandle(inputHandle.get(), input.data());
56
57 workload->Execute();
58
59 CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
60
61 return LayerTestResult<T, 4>(actualOutput,
62 expectedOutput,
63 outputHandle->GetShape(),
64 outputTensorInfo.GetShape());
65 }
66
67 //
68 // Explicit template specializations
69 //
70
71 template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
72 SimpleFloorTest<armnn::DataType::Float32>(
73 armnn::IWorkloadFactory& workloadFactory,
74 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
75 const armnn::ITensorHandleFactory& tensorHandleFactory);
76
77 template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
78 SimpleFloorTest<armnn::DataType::Float16>(
79 armnn::IWorkloadFactory& workloadFactory,
80 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
81 const armnn::ITensorHandleFactory& tensorHandleFactory);
82
83
84 template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
85 SimpleFloorTest<armnn::DataType::QSymmS16>(
86 armnn::IWorkloadFactory& workloadFactory,
87 const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
88 const armnn::ITensorHandleFactory& tensorHandleFactory);
89