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/_common_test_utils_8hpp.xhtml | 446 ++++++++++++++++++++++++++++++++++++ 1 file changed, 446 insertions(+) create mode 100644 20.02/_common_test_utils_8hpp.xhtml (limited to '20.02/_common_test_utils_8hpp.xhtml') diff --git a/20.02/_common_test_utils_8hpp.xhtml b/20.02/_common_test_utils_8hpp.xhtml new file mode 100644 index 0000000000..3470ec4bb5 --- /dev/null +++ b/20.02/_common_test_utils_8hpp.xhtml @@ -0,0 +1,446 @@ + + + + + + + + + + + + + +ArmNN: src/backends/backendsCommon/test/CommonTestUtils.hpp File Reference + + + + + + + + + + + + + + + + +
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+Functions
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CommonTestUtils.hpp File Reference
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#include <Graph.hpp>
+#include <SubgraphView.hpp>
+#include <SubgraphViewSelector.hpp>
+#include <armnn/BackendRegistry.hpp>
+#include <backendsCommon/CpuTensorHandle.hpp>
+#include <test/TestUtils.hpp>
+#include <algorithm>
+
+

Go to the source code of this file.

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+Functions

template<typename CollectionType >
bool AreEqual (const CollectionType &lhs, const CollectionType &rhs)
 
template<typename CollectionType >
bool Contains (const CollectionType &collection, const typename CollectionType::value_type &item)
 
template<typename MapType >
bool Contains (const MapType &map, const typename MapType::key_type &key)
 
template<typename ConvolutionLayer >
void SetWeightAndBias (ConvolutionLayer *layer, const armnn::TensorInfo &weightInfo, const armnn::TensorInfo &biasInfo)
 
armnn::SubgraphView::InputSlots CreateInputsFrom (const std::vector< armnn::Layer *> &layers)
 
armnn::SubgraphView::OutputSlots CreateOutputsFrom (const std::vector< armnn::Layer *> &layers)
 
armnn::SubgraphView::SubgraphViewPtr CreateSubgraphViewFrom (armnn::SubgraphView::InputSlots &&inputs, armnn::SubgraphView::OutputSlots &&outputs, armnn::SubgraphView::Layers &&layers)
 
armnn::IBackendInternalUniquePtr CreateBackendObject (const armnn::BackendId &backendId)
 
armnn::TensorShape MakeTensorShape (unsigned int batches, unsigned int channels, unsigned int height, unsigned int width, armnn::DataLayout layout)
 
+

Function Documentation

+ +

◆ AreEqual()

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bool AreEqual (const CollectionType & lhs,
const CollectionType & rhs 
)
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Definition at line 24 of file CommonTestUtils.hpp.

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25 {
26  if (lhs.size() != rhs.size())
27  {
28  return false;
29  }
30 
31  auto lhs_it = std::find_if(lhs.begin(), lhs.end(), [&rhs](auto& item)
32  {
33  return std::find(rhs.begin(), rhs.end(), item) == rhs.end();
34  });
35 
36  return lhs_it == lhs.end();
37 }
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◆ Contains() [1/2]

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bool Contains (const CollectionType & collection,
const typename CollectionType::value_type & item 
)
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Definition at line 41 of file CommonTestUtils.hpp.

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42 {
43  return std::find(collection.begin(), collection.end(), item) != collection.end();
44 }
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◆ Contains() [2/2]

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bool Contains (const MapType & map,
const typename MapType::key_type & key 
)
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Definition at line 48 of file CommonTestUtils.hpp.

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49 {
50  return map.find(key) != map.end();
51 }
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◆ CreateBackendObject()

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armnn::IBackendInternalUniquePtr CreateBackendObject (const armnn::BackendId & backendId)
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Definition at line 45 of file CommonTestUtils.cpp.

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References armnn::BackendRegistryInstance().

+ +

Referenced by SetWeightAndBias().

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46 {
47  auto& backendRegistry = BackendRegistryInstance();
48  auto backendFactory = backendRegistry.GetFactory(backendId);
49  auto backendObjPtr = backendFactory();
50 
51  return backendObjPtr;
52 }
armnn::BackendRegistryInstance
BackendRegistry & BackendRegistryInstance()
Definition: BackendRegistry.cpp:13
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◆ CreateInputsFrom()

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armnn::SubgraphView::InputSlots CreateInputsFrom (const std::vector< armnn::Layer *> & layers)
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Definition at line 12 of file CommonTestUtils.cpp.

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Referenced by BOOST_AUTO_TEST_CASE(), and SetWeightAndBias().

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13 {
14  SubgraphView::InputSlots result;
15  for (auto&& layer : layers)
16  {
17  for (auto&& it = layer->BeginInputSlots(); it != layer->EndInputSlots(); ++it)
18  {
19  result.push_back(&(*it));
20  }
21  }
22  return result;
23 }
armnn::SubgraphView::InputSlots
std::vector< InputSlot * > InputSlots
Definition: SubgraphView.hpp:38
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◆ CreateOutputsFrom()

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armnn::SubgraphView::OutputSlots CreateOutputsFrom (const std::vector< armnn::Layer *> & layers)
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Definition at line 25 of file CommonTestUtils.cpp.

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Referenced by BOOST_AUTO_TEST_CASE(), and SetWeightAndBias().

+
26 {
27  SubgraphView::OutputSlots result;
28  for (auto && layer : layers)
29  {
30  for (auto&& it = layer->BeginOutputSlots(); it != layer->EndOutputSlots(); ++it)
31  {
32  result.push_back(&(*it));
33  }
34  }
35  return result;
36 }
armnn::SubgraphView::OutputSlots
std::vector< OutputSlot * > OutputSlots
Definition: SubgraphView.hpp:39
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◆ CreateSubgraphViewFrom()

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armnn::SubgraphView::SubgraphViewPtr CreateSubgraphViewFrom (armnn::SubgraphView::InputSlots && inputs,
armnn::SubgraphView::OutputSlots && outputs,
armnn::SubgraphView::Layers && layers 
)
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+ +

Definition at line 38 of file CommonTestUtils.cpp.

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Referenced by BOOST_AUTO_TEST_CASE(), and SetWeightAndBias().

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41 {
42  return std::make_unique<SubgraphView>(std::move(inputs), std::move(outputs), std::move(layers));
43 }
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◆ MakeTensorShape()

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armnn::TensorShape MakeTensorShape (unsigned int batches,
unsigned int channels,
unsigned int height,
unsigned int width,
armnn::DataLayout layout 
)
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Definition at line 54 of file CommonTestUtils.cpp.

+ +

References armnn::GetDataLayoutName(), armnn::NCHW, and armnn::NHWC.

+ +

Referenced by SetWeightAndBias(), and TransposeConvolution2dEndToEnd().

+
59 {
60  using namespace armnn;
61  switch (layout)
62  {
63  case DataLayout::NCHW:
64  return TensorShape{ batches, channels, height, width };
65  case DataLayout::NHWC:
66  return TensorShape{ batches, height, width, channels };
67  default:
68  throw InvalidArgumentException(std::string("Unsupported data layout: ") + GetDataLayoutName(layout));
69  }
70 }
armnn::GetDataLayoutName
constexpr const char * GetDataLayoutName(DataLayout dataLayout)
Definition: TypesUtils.hpp:190
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armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
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◆ SetWeightAndBias()

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void SetWeightAndBias (ConvolutionLayer * layer,
const armnn::TensorInfo & weightInfo,
const armnn::TensorInfo & biasInfo 
)
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Definition at line 54 of file CommonTestUtils.hpp.

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References CreateBackendObject(), CreateInputsFrom(), CreateOutputsFrom(), CreateSubgraphViewFrom(), and MakeTensorShape().

+
55 {
56  layer->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(weightInfo);
57  layer->m_Bias = std::make_unique<armnn::ScopedCpuTensorHandle>(biasInfo);
58 
59  layer->m_Weight->Allocate();
60  layer->m_Bias->Allocate();
61 }
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