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/_fake_quantization_test_impl_8hpp.xhtml | 174 ++++++++++++++++++++++++++ 1 file changed, 174 insertions(+) create mode 100644 20.02/_fake_quantization_test_impl_8hpp.xhtml (limited to '20.02/_fake_quantization_test_impl_8hpp.xhtml') diff --git a/20.02/_fake_quantization_test_impl_8hpp.xhtml b/20.02/_fake_quantization_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..eced7b6feb --- /dev/null +++ b/20.02/_fake_quantization_test_impl_8hpp.xhtml @@ -0,0 +1,174 @@ + + + + + + + + + + + + + +ArmNN: src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.hpp File Reference + + + + + + + + + + + + + + + + +
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FakeQuantizationTestImpl.hpp File Reference
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#include "LayerTestResult.hpp"
+#include <armnn/backends/IBackendInternal.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+

Go to the source code of this file.

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+Functions

LayerTestResult< float, 2 > FakeQuantizationTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)
 
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Function Documentation

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◆ FakeQuantizationTest()

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LayerTestResult<float, 2> FakeQuantizationTest (armnn::IWorkloadFactory & workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager 
)
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Definition at line 16 of file FakeQuantizationTestImpl.cpp.

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References CopyDataFromITensorHandle(), CopyDataToITensorHandle(), IWorkloadFactory::CreateFakeQuantization(), IWorkloadFactory::CreateTensorHandle(), armnn::Float32, armnn::IgnoreUnused(), FakeQuantizationDescriptor::m_Max, FakeQuantizationDescriptor::m_Min, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, LayerTestResult< T, n >::output, and LayerTestResult< T, n >::outputExpected.

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19 {
20  IgnoreUnused(memoryManager);
21  constexpr unsigned int width = 2;
22  constexpr unsigned int height = 3;
23 
24  const armnn::TensorInfo tensorInfo({height, width },
25  armnn::DataType::Float32);
26 
27  auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({
28  -10.0f, -5.0f,
29  0.0f, 5.0f,
30  10.0f, 10.0f
31  }));
32 
33  LayerTestResult<float, 2> ret(tensorInfo);
34 
35  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo);
36  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo);
37 
38  armnn::FakeQuantizationQueueDescriptor data;
39  armnn::WorkloadInfo info;
40 
41  AddInputToWorkload(data, info, tensorInfo, inputHandle.get());
42  AddOutputToWorkload(data, info, tensorInfo, outputHandle.get());
43 
44  float min = -10.f;
45  float max = 10.f;
46 
47  data.m_Parameters.m_Min = min;
48  data.m_Parameters.m_Max = max;
49 
50  armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]);
51  armnn::FakeQuantizationQueueDescriptor refData = data;
52  armnn::WorkloadInfo refInfo = info;
53  SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle);
54 
55  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info);
56 
57  inputHandle->Allocate();
58  outputHandle->Allocate();
59 
60  CopyDataToITensorHandle(inputHandle.get(), &input[0][0]);
61 
62  workload->PostAllocationConfigure();
63  workload->Execute();
64 
65  CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get());
66 
67  ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({
68  0.0f, 63.0f,
69  128.0f, 191.0f,
70  255.0f, 255.0f
71  }));
72 
73  return ret;
74 }
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armnn::IWorkloadFactory::CreateFakeQuantization
virtual std::unique_ptr< IWorkload > CreateFakeQuantization(const FakeQuantizationQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1213
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armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
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CopyDataFromITensorHandle
void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)
Definition: TensorCopyUtils.cpp:14
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armnn::IWorkloadFactory::CreateTensorHandle
virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0
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armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition: WorkloadInfo.hpp:16
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CopyDataToITensorHandle
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)
Definition: TensorCopyUtils.cpp:9
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