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/_transpose_layer_8cpp_source.xhtml | 152 +++++++++++++++++++++++++++++++ 1 file changed, 152 insertions(+) create mode 100644 20.02/_transpose_layer_8cpp_source.xhtml (limited to '20.02/_transpose_layer_8cpp_source.xhtml') diff --git a/20.02/_transpose_layer_8cpp_source.xhtml b/20.02/_transpose_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..4b1486a8a0 --- /dev/null +++ b/20.02/_transpose_layer_8cpp_source.xhtml @@ -0,0 +1,152 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/TransposeLayer.cpp Source File + + + + + + + + + + + + + + + + +
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TransposeLayer.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2020 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "TransposeLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
12 #include <armnnUtils/Transpose.hpp>
13 
14 #include <backendsCommon/WorkloadData.hpp>
15 #include <backendsCommon/WorkloadFactory.hpp>
16 
17 namespace armnn
18 {
19 
20 TransposeLayer::TransposeLayer(const TransposeDescriptor& param, const char* name)
21  : LayerWithParameters(1, 1, LayerType::Transpose, param, name)
22 {
23 }
24 
25 std::unique_ptr<IWorkload> TransposeLayer::CreateWorkload(const IWorkloadFactory& factory) const
26 {
27  TransposeQueueDescriptor descriptor;
28  return factory.CreateTranspose(descriptor, PrepInfoAndDesc(descriptor));
29 }
30 
31 TransposeLayer* TransposeLayer::Clone(Graph& graph) const
32 {
33  return CloneBase<TransposeLayer>(graph, m_Param, GetName());
34 }
35 
36 std::vector<TensorShape> TransposeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
37 {
38  BOOST_ASSERT(inputShapes.size() == 1);
39  const TensorShape& inShape = inputShapes[0];
40  return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(inShape, m_Param.m_DimMappings)});
41 }
42 
43 void TransposeLayer::ValidateTensorShapesFromInputs()
44 {
45  VerifyLayerConnections(1, CHECK_LOCATION());
46 
47  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
48 
49  BOOST_ASSERT(inferredShapes.size() == 1);
50 
51  ConditionalThrowIfNotEqual<LayerValidationException>(
52  "TransposeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
53  GetOutputSlot(0).GetTensorInfo().GetShape(),
54  inferredShapes[0]);
55 }
56 
57 void TransposeLayer::Accept(ILayerVisitor& visitor) const
58 {
59  visitor.VisitTransposeLayer(this, GetParameters(), GetName());
60 }
61 
62 } // namespace armnn
WorkloadData.hpp
+
Transpose.hpp
+
armnn::LayerWithParameters< TransposeDescriptor >::m_Param
TransposeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50
+
armnn::LayerWithParameters< TransposeDescriptor >::GetParameters
const TransposeDescriptor & GetParameters() const
Definition: LayerWithParameters.hpp:18
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88
+
armnn::TransposeLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: TransposeLayer.cpp:57
+
armnn::TransposeLayer::Clone
TransposeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: TransposeLayer.cpp:31
+
WorkloadFactory.hpp
+ +
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
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+
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
+
armnn::IWorkloadFactory::CreateTranspose
virtual std::unique_ptr< IWorkload > CreateTranspose(const TransposeQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1448
+ +
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
+
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338
+
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310
+
TypesUtils.hpp
+
armnn::TransposeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeLayer.
Definition: TransposeLayer.cpp:43
+
armnn::TransposeLayer::TransposeLayer
TransposeLayer(const TransposeDescriptor &param, const char *name)
Constructor to create a TransposeLayer.
Definition: TransposeLayer.cpp:20
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+
armnn::ILayerVisitor::VisitTransposeLayer
virtual void VisitTransposeLayer(const IConnectableLayer *layer, const TransposeDescriptor &transposeDescriptor, const char *name=nullptr)=0
Function that a transpose layer should call back to when its Accept(ILayerVisitor&) function is invok...
+ +
armnn::TransposeLayer
This layer represents a transpose operation.
Definition: TransposeLayer.hpp:13
+
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:36
+ +
armnn::LayerWithParameters< TransposeDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43
+ +
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:312
+
armnn::TransposeDescriptor
A TransposeDescriptor for the TransposeLayer.
Definition: Descriptors.hpp:1123
+
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
+
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:305
+
armnnUtils::TransposeTensorShape
armnn::TensorShape TransposeTensorShape(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Transpose.cpp:98
+ +
TransposeLayer.hpp
+
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
+
armnn::TransposeDescriptor::m_DimMappings
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g.
Definition: Descriptors.hpp:1140
+
LayerCloneBase.hpp
+ +
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