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 --- ..._and_descriptor_layer_visitor_8hpp_source.xhtml | 133 +++++++++++++++++++++ 1 file changed, 133 insertions(+) create mode 100644 20.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml (limited to '20.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml') diff --git a/20.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml b/20.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml new file mode 100644 index 0000000000..4cd1220642 --- /dev/null +++ b/20.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml @@ -0,0 +1,133 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp Source File + + + + + + + + + + + + + + + + +
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TestNameAndDescriptorLayerVisitor.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 #pragma once
6 
7 #include "TestLayerVisitor.hpp"
8 
9 
10 #include <boost/test/unit_test.hpp>
11 
12 namespace
13 {
14 
15 #define DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(name) \
16 class Test##name##LayerVisitor : public armnn::TestLayerVisitor \
17 { \
18 private: \
19  using Descriptor = armnn::name##Descriptor; \
20  Descriptor m_Descriptor; \
21  \
22  bool CheckDescriptor(const Descriptor& descriptor) \
23  { \
24  return descriptor == m_Descriptor; \
25  } \
26 \
27 public: \
28  explicit Test##name##LayerVisitor(const Descriptor& descriptor, \
29  const char* layerName = nullptr) \
30  : armnn::TestLayerVisitor(layerName) \
31  , m_Descriptor(descriptor) {}; \
32  \
33  void Visit##name##Layer(const armnn::IConnectableLayer* layer, \
34  const Descriptor& descriptor, \
35  const char* layerName = nullptr) override \
36  { \
37  CheckLayerPointer(layer); \
38  CheckDescriptor(descriptor); \
39  CheckLayerName(layerName); \
40  } \
41 };
42 
43 } // anonymous namespace
44 
45 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Activation)
46 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(ArgMinMax)
47 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(BatchToSpaceNd)
48 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Comparison)
49 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Concat)
50 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(DepthToSpace)
51 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(ElementwiseUnary)
52 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(InstanceNormalization)
53 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(L2Normalization)
54 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(LogSoftmax)
55 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Mean)
56 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Normalization)
57 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Pad)
58 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Permute)
59 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Pooling2d)
60 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Reshape)
61 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Resize)
62 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Slice)
63 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Softmax)
64 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(SpaceToBatchNd)
65 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(SpaceToDepth)
66 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Splitter)
67 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Stack)
68 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(StandIn)
69 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(StridedSlice)
70 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Transpose)
TestLayerVisitor.hpp
+
armnn::Slice
void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: Slice.cpp:16
+
armnn::ArgMinMax
void ArgMinMax(Decoder< float > &in, int32_t *out, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, ArgMinMaxFunction function, int axis)
Definition: ArgMinMax.cpp:15
+
armnnUtils::Transpose
void Transpose(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Transpose.cpp:120
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armnn::DepthToSpace
void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: DepthToSpace.cpp:18
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armnn::Stack
void Stack(const StackQueueDescriptor &data, std::vector< std::unique_ptr< Decoder< float >>> &inputs, Encoder< float > &output)
Definition: Stack.cpp:12
+
armnn::Pad
void Pad(const TensorInfo &inputInfo, const TensorInfo &outputInfo, std::vector< std::pair< unsigned int, unsigned int >> m_padList, const T *inputData, T *outData, const float padValue)
Definition: Pad.cpp:22
+
armnnUtils::Permute
void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Permute.cpp:121
+
armnn::Activation
float Activation(float in, ActivationFunction function, float a, float b)
Definition: Activation.cpp:13
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armnn::Resize
void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, armnn::ResizeMethod resizeMethod, bool alignCorners)
Definition: Resize.cpp:35
+
armnn::LogSoftmax
void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)
Definition: LogSoftmax.cpp:30
+
armnn::SpaceToBatchNd
void SpaceToBatchNd(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToBatchNdDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)
Definition: SpaceToBatchNd.cpp:34
+
armnn::StridedSlice
void StridedSlice(const TensorInfo &inputInfo, const StridedSliceDescriptor &params, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: StridedSlice.cpp:90
+
DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS
#define DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(name)
Definition: TestNameAndDescriptorLayerVisitor.hpp:15
+
armnn::Mean
void Mean(const armnn::TensorInfo &inputInfo, const armnn::TensorInfo &outputInfo, const std::vector< unsigned int > &axis, Decoder< float > &input, Encoder< float > &output)
Definition: Mean.cpp:71
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armnn::SpaceToDepth
void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)
Definition: SpaceToDepth.cpp:36
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armnn::BatchToSpaceNd
void BatchToSpaceNd(const DataLayoutIndexed &dataLayout, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, const std::vector< unsigned int > &blockShape, const std::vector< std::pair< unsigned int, unsigned int >> &cropsData, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)
Definition: BatchToSpaceNd.cpp:35
+
armnn::Pooling2d
void Pooling2d(Decoder< float > &rInputDecoder, Encoder< float > &rOutputEncoder, const TensorInfo &inputInfo, const TensorInfo &outputInfo, const Pooling2dDescriptor &params)
Computes the Pooling2d operation.
Definition: Pooling2d.cpp:143
+
armnn::Splitter
void Splitter(const SplitterQueueDescriptor &data)
Definition: Splitter.hpp:17
+
armnn::Softmax
void Softmax(Decoder< float > &in, Encoder< float > &out, const TensorInfo &inputTensorInfo, float beta, int axis)
Computes the softmax function on some inputs, into outputs, with a shape given by tensorInfo...
Definition: Softmax.cpp:17
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