1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
|
//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "FloorTestImpl.hpp"
#include <DataTypeUtils.hpp>
#include <armnnTestUtils/TensorCopyUtils.hpp>
#include <armnnTestUtils/WorkloadTestUtils.hpp>
#include <armnnTestUtils/TensorHelpers.hpp>
template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 4> SimpleFloorTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory)
{
IgnoreUnused(memoryManager);
armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType);
inputTensorInfo.SetQuantizationScale(1.0f);
armnn::TensorInfo outputTensorInfo(inputTensorInfo);
outputTensorInfo.SetQuantizationScale(1.0f);
std::vector<T> input = ConvertToDataType<ArmnnType>(
{
-37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
},
inputTensorInfo);
std::vector<T> actualOutput(outputTensorInfo.GetNumElements());
std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
{
-38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f
},
outputTensorInfo);
std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
armnn::FloorQueueDescriptor data;
armnn::WorkloadInfo info;
AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Floor, data, info);
inputHandle->Allocate();
outputHandle->Allocate();
CopyDataToITensorHandle(inputHandle.get(), input.data());
workload->Execute();
CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
return LayerTestResult<T, 4>(actualOutput,
expectedOutput,
outputHandle->GetShape(),
outputTensorInfo.GetShape());
}
//
// Explicit template specializations
//
template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
SimpleFloorTest<armnn::DataType::Float32>(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory);
template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
SimpleFloorTest<armnn::DataType::Float16>(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory);
template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
SimpleFloorTest<armnn::DataType::QSymmS16>(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory);
template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 4>
SimpleFloorTest<armnn::DataType::Signed32>(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory);
|