From f4019872c1134c6fcc1d6993e5746f55c1e79208 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 8 Mar 2022 20:01:38 +0000 Subject: IVGCVSW-6819 Fix the directory structure and broken link to latest docu Signed-off-by: Nikhil Raj Change-Id: I05b559d15faf92c76ff536719693b361316be4f3 --- ..._and_descriptor_layer_visitor_8hpp_source.xhtml | 135 +++++++++++++++++++++ 1 file changed, 135 insertions(+) create mode 100644 22.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml (limited to '22.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml') diff --git a/22.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml b/22.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml new file mode 100644 index 0000000000..80cf655c14 --- /dev/null +++ b/22.02/_test_name_and_descriptor_layer_visitor_8hpp_source.xhtml @@ -0,0 +1,135 @@ + + + + + + + + + + + + + +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 and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
7 #include "TestLayerVisitor.hpp"
8 
9 #include <doctest/doctest.h>
10 
11 namespace
12 {
13 
14 #define DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(name) \
15 class Test##name##LayerVisitor : public armnn::TestLayerVisitor \
16 { \
17 private: \
18  using Descriptor = armnn::name##Descriptor; \
19  Descriptor m_Descriptor; \
20  \
21  bool CheckDescriptor(const Descriptor& descriptor) \
22  { \
23  return descriptor == m_Descriptor; \
24  } \
25 \
26 public: \
27  explicit Test##name##LayerVisitor(const Descriptor& descriptor, \
28  const char* layerName = nullptr) \
29  : armnn::TestLayerVisitor(layerName) \
30  , m_Descriptor(descriptor) {}; \
31  \
32  void ExecuteStrategy(const armnn::IConnectableLayer* layer, \
33  const armnn::BaseDescriptor& descriptor, \
34  const std::vector<armnn::ConstTensor>& constants, \
35  const char* layerName, \
36  const armnn::LayerBindingId id = 0) override \
37  { \
38  armnn::IgnoreUnused(descriptor, constants, id); \
39  switch (layer->GetType()) \
40  { \
41  case armnn::LayerType::Input: break; \
42  case armnn::LayerType::Output: break; \
43  case armnn::LayerType::name: break; \
44  { \
45  CheckLayerPointer(layer); \
46  CheckDescriptor(static_cast<const Descriptor&>(descriptor)); \
47  CheckLayerName(layerName); \
48  break; \
49  } \
50  default: \
51  { \
52  m_DefaultStrategy.Apply(GetLayerTypeAsCString(layer->GetType())); \
53  } \
54  } \
55  } \
56 }; \
57 
58 } // anonymous namespace
59 
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void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: Slice.cpp:14
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void Splitter(const SplitterQueueDescriptor &data, std::vector< ITensorHandle *> inputs, std::vector< ITensorHandle *> outputs)
Definition: Splitter.hpp:17
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void Stack(const StackQueueDescriptor &data, std::vector< std::unique_ptr< Decoder< float >>> &inputs, Encoder< float > &output, const TensorInfo &inputInfo, const TensorInfo &outputInfo)
Definition: Stack.cpp:12
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void Fill(Encoder< float > &output, const TensorShape &desiredOutputShape, const float value)
Creates a tensor and fills it with a scalar value.
Definition: Fill.cpp:13
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void Reduce(const TensorInfo &inputInfo, const TensorInfo &outputInfo, Decoder< float > &input, Encoder< float > &output, const std::vector< uint32_t > axis, const ReduceOperation reduceOperation)
Definition: Reduce.cpp:70
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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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void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
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void ArgMinMax(Decoder< float > &in, OUT *out, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, ArgMinMaxFunction function, int axis)
Definition: ArgMinMax.cpp:16
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void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Permute.cpp:131
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void Gather(const TensorInfo &paramsInfo, const TensorInfo &indicesInfo, const TensorInfo &outputInfo, Decoder< float > &params, const int32_t *indices, Encoder< float > &output, const int32_t axis)
Definition: Gather.cpp:17
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float Activation(float in, ActivationFunction function, float a, float b)
Definition: Activation.cpp:13
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void Pad(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const ITensorHandle *inputHandle, ITensorHandle *outputHandle, const PadQueueDescriptor &data)
Definition: Pad.cpp:39
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void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)
Definition: LogSoftmax.cpp:29
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void SpaceToBatchNd(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToBatchNdDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)
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void StridedSlice(const TensorInfo &inputInfo, const StridedSliceDescriptor &params, const void *inputData, void *outputData, unsigned int dataTypeSize)
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#define DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(name)
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void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)
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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)
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void Pooling2d(Decoder< float > &rInputDecoder, Encoder< float > &rOutputEncoder, const TensorInfo &inputInfo, const TensorInfo &outputInfo, const Pooling2dDescriptor &params)
Computes the Pooling2d operation.
Definition: Pooling2d.cpp:142
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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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void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, armnn::ResizeMethod resizeMethod, bool alignCorners, bool halfPixelCenters)
Definition: Resize.cpp:65
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