From 8efb48a6847c5cd166c561127ae6611150963ce3 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Fri, 19 May 2023 11:14:28 +0100 Subject: Update Doxygen docu for 23.05 Signed-off-by: Nikhil Raj Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe --- 23.05/_transpose_layer_8cpp_source.xhtml | 226 +++++++++++++++++++++++++++++++ 1 file changed, 226 insertions(+) create mode 100644 23.05/_transpose_layer_8cpp_source.xhtml (limited to '23.05/_transpose_layer_8cpp_source.xhtml') diff --git a/23.05/_transpose_layer_8cpp_source.xhtml b/23.05/_transpose_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..e72d8b57a3 --- /dev/null +++ b/23.05/_transpose_layer_8cpp_source.xhtml @@ -0,0 +1,226 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/TransposeLayer.cpp Source File + + + + + + + + + + + + + + + + +
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+  23.05 +
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TransposeLayer.cpp
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+Go to the documentation of this file.
1 //
+
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+
3 // SPDX-License-Identifier: MIT
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4 //
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5 
+
6 #include "TransposeLayer.hpp"
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7 
+
8 #include "LayerCloneBase.hpp"
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9 
+
10 #include <armnn/TypesUtils.hpp>
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11 
+
12 #include <armnnUtils/Transpose.hpp>
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13 
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14 #include <armnn/backends/WorkloadData.hpp>
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15 #include <armnn/backends/WorkloadFactory.hpp>
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16 
+
17 namespace armnn
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18 {
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19 
+
20 TransposeLayer::TransposeLayer(const TransposeDescriptor& param, const char* name)
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21  : LayerWithParameters(1, 1, LayerType::Transpose, param, name)
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22 {
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23 }
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24 
+
25 std::unique_ptr<IWorkload> TransposeLayer::CreateWorkload(const IWorkloadFactory& factory) const
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26 {
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27  TransposeQueueDescriptor descriptor;
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28  SetAdditionalInfo(descriptor);
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29 
+
30  return factory.CreateWorkload(LayerType::Transpose, descriptor, PrepInfoAndDesc(descriptor));
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31 }
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32 
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33 TransposeLayer* TransposeLayer::Clone(Graph& graph) const
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34 {
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35  return CloneBase<TransposeLayer>(graph, m_Param, GetName());
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36 }
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37 
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38 std::vector<TensorShape> TransposeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
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39 {
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40  ARMNN_ASSERT(inputShapes.size() == 1);
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41  const TensorShape& inShape = inputShapes[0];
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42  return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(inShape, m_Param.m_DimMappings)});
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43 }
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44 
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45 void TransposeLayer::ValidateTensorShapesFromInputs()
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46 {
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47  VerifyLayerConnections(1, CHECK_LOCATION());
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48 
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49  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
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50 
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51  VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
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52 
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53  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
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54 
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55  ARMNN_ASSERT(inferredShapes.size() == 1);
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56 
+
57  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "TransposeLayer");
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58 }
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59 
+
60 void TransposeLayer::ExecuteStrategy(IStrategy& strategy) const
+
61 {
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62  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
+
63 }
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64 
+
65 } // namespace armnn
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+
+ +
armnn::TransposeDescriptor
A TransposeDescriptor for the TransposeLayer.
Definition: Descriptors.hpp:1457
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
+
armnn::TransposeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: TransposeLayer.cpp:60
+
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378
+
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:206
+
armnn::TransposeLayer
This layer represents a transpose operation.
Definition: TransposeLayer.hpp:15
+ +
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491
+ + +
armnn::TransposeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Transpose type.
Definition: TransposeLayer.cpp:25
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armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:274
+
armnnUtils::TransposeTensorShape
armnn::TensorShape TransposeTensorShape(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Transpose.cpp:98
+
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:427
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armnn::Layer::ValidateAndCopyShape
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:422
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+ +
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
+
armnn::TransposeLayer::Clone
TransposeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: TransposeLayer.cpp:33
+ + +
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:479
+
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
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armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:326
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armnn::TransposeLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and the permutation vector.
Definition: TransposeLayer.cpp:38
+
armnn::LayerWithParameters< TransposeDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
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armnn::TransposeLayer::TransposeLayer
TransposeLayer(const TransposeDescriptor &param, const char *name)
Constructor to create a TransposeLayer.
Definition: TransposeLayer.cpp:20
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armnn::TransposeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeLayer.
Definition: TransposeLayer.cpp:45
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
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armnn::TransposeDescriptor::m_DimMappings
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination,...
Definition: Descriptors.hpp:1481
+ +
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:324
+
armnn::IStrategy::ExecuteStrategy
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
+ +
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
+
armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1590
+
armnnUtils::Transpose
void Transpose(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Transpose.cpp:120
+
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:319
+ + + +
armnn::LayerWithParameters< TransposeDescriptor >::GetParameters
const TransposeDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
+
armnn::LayerWithParameters< TransposeDescriptor >::m_Param
TransposeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
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