From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/_prelu_test_impl_8hpp_source.xhtml | 136 +++++++++++++++++++++++++++++++ 1 file changed, 136 insertions(+) create mode 100644 20.02/_prelu_test_impl_8hpp_source.xhtml (limited to '20.02/_prelu_test_impl_8hpp_source.xhtml') diff --git a/20.02/_prelu_test_impl_8hpp_source.xhtml b/20.02/_prelu_test_impl_8hpp_source.xhtml new file mode 100644 index 0000000000..9a44f765a9 --- /dev/null +++ b/20.02/_prelu_test_impl_8hpp_source.xhtml @@ -0,0 +1,136 @@ + + + + + + + + + + + + + +ArmNN: src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp Source File + + + + + + + + + + + + + + + + +
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PreluTestImpl.hpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #pragma once
7 
8 #include "LayerTestResult.hpp"
9 
10 #include <QuantizeHelper.hpp>
11 #include <ResolveType.hpp>
12 
13 
14 #include <armnn/backends/IBackendInternal.hpp>
15 #include <backendsCommon/WorkloadFactory.hpp>
16 
17 #include <backendsCommon/test/TensorCopyUtils.hpp>
18 #include <backendsCommon/test/WorkloadTestUtils.hpp>
19 
20 #include <test/TensorHelpers.hpp>
21 
22 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
23 LayerTestResult<T, 4> PreluTest(
24  armnn::IWorkloadFactory& workloadFactory,
25  const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
26 {
27  IgnoreUnused(memoryManager);
28 
29  armnn::TensorInfo inputTensorInfo ({ 1, 2, 2, 3 }, ArmnnType);
30  armnn::TensorInfo alphaTensorInfo ({ 1, 1, 1, 3 }, ArmnnType);
31  armnn::TensorInfo outputTensorInfo({ 1, 2, 2, 3 }, ArmnnType);
32 
33  if (armnn::IsQuantizedType<T>())
34  {
35  inputTensorInfo.SetQuantizationScale(0.25f);
36  inputTensorInfo.SetQuantizationOffset(128);
37  alphaTensorInfo.SetQuantizationScale(0.25f);
38  alphaTensorInfo.SetQuantizationOffset(50);
39  outputTensorInfo.SetQuantizationScale(0.5f);
40  outputTensorInfo.SetQuantizationOffset(120);
41  }
42 
43  std::vector<float> inputData
44  {
45  // Expected quantized values:
46  // 128, 128, 128, 132, 132, 132, 124, 124, 124, 120, 120, 120
47  0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f
48  };
49  std::vector<float> alphaData
50  {
51  // Expected quantized values:
52  // 50, 54, 58
53  0.0f, 1.0f, 2.0f
54  };
55  std::vector<float> outputExpectedData =
56  {
57  // Expected quantized values:
58  // 20, 120, 120, 122, 122, 122, 120, 118, 116, 120, 116, 112
59  0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f
60  };
61 
62  auto input = MakeTensor<T, 4>(inputTensorInfo,
63  armnnUtils::QuantizedVector<T>(inputData,
64  inputTensorInfo.GetQuantizationScale(),
65  inputTensorInfo.GetQuantizationOffset()));
66 
67  auto alpha = MakeTensor<T, 4>(alphaTensorInfo,
68  armnnUtils::QuantizedVector<T>(alphaData,
69  alphaTensorInfo.GetQuantizationScale(),
70  alphaTensorInfo.GetQuantizationOffset()));
71 
72  LayerTestResult<T, 4> result(outputTensorInfo);
73  result.outputExpected =
74  MakeTensor<T, 4>(outputTensorInfo,
75  armnnUtils::QuantizedVector<T>(outputExpectedData,
76  outputTensorInfo.GetQuantizationScale(),
77  outputTensorInfo.GetQuantizationOffset()));
78 
79  std::unique_ptr <armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
80  std::unique_ptr <armnn::ITensorHandle> alphaHandle = workloadFactory.CreateTensorHandle(alphaTensorInfo);
81  std::unique_ptr <armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
82 
83  armnn::PreluQueueDescriptor descriptor;
84  armnn::WorkloadInfo info;
85  AddInputToWorkload (descriptor, info, inputTensorInfo, inputHandle.get());
86  AddInputToWorkload (descriptor, info, alphaTensorInfo, alphaHandle.get());
87  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
88 
89  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePrelu(descriptor, info);
90 
91  inputHandle->Allocate();
92  alphaHandle->Allocate();
93  outputHandle->Allocate();
94 
95  CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
96  CopyDataToITensorHandle(alphaHandle.get(), &alpha[0][0][0][0]);
97 
98  workload->Execute();
99 
100  CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get());
101 
102  return result;
103 }
TensorCopyUtils.hpp
+
WorkloadFactory.hpp
+ +
QuantizeHelper.hpp
+ +
WorkloadTestUtils.hpp
+
LayerTestResult::outputExpected
boost::multi_array< T, n > outputExpected
Definition: LayerTestResult.hpp:41
+
ResolveType.hpp
+
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
+ +
LayerTestResult.hpp
+
TensorHelpers.hpp
+ +
armnn::IBackendInternal::IMemoryManagerSharedPtr
std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr
Definition: IBackendInternal.hpp:90
+
armnn::TensorInfo::SetQuantizationScale
void SetQuantizationScale(float scale)
Definition: Tensor.cpp:259
+
CopyDataFromITensorHandle
void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)
Definition: TensorCopyUtils.cpp:14
+
armnn::IWorkloadFactory::CreateTensorHandle
virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0
+
LayerTestResult::output
boost::multi_array< T, n > output
Definition: LayerTestResult.hpp:40
+
PreluTest
LayerTestResult< T, 4 > PreluTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)
Definition: PreluTestImpl.hpp:23
+
armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition: WorkloadInfo.hpp:16
+ +
CopyDataToITensorHandle
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)
Definition: TensorCopyUtils.cpp:9
+
armnn::IWorkloadFactory::CreatePrelu
virtual std::unique_ptr< IWorkload > CreatePrelu(const PreluQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1352
+
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