ArmNN
 21.08
TransposeLayer.cpp
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1 //
2 // Copyright © 2020 Arm Ltd and Contributors. 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 
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  SetAdditionalInfo(descriptor);
29 
30  return factory.CreateTranspose(descriptor, PrepInfoAndDesc(descriptor));
31 }
32 
34 {
35  return CloneBase<TransposeLayer>(graph, m_Param, GetName());
36 }
37 
38 std::vector<TensorShape> TransposeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
39 {
40  ARMNN_ASSERT(inputShapes.size() == 1);
41  const TensorShape& inShape = inputShapes[0];
42  return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(inShape, m_Param.m_DimMappings)});
43 }
44 
46 {
48 
49  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
50 
52 
53  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
54 
55  ARMNN_ASSERT(inferredShapes.size() == 1);
56 
57  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "TransposeLayer");
58 }
59 
61 {
62  visitor.VisitTransposeLayer(this, GetParameters(), GetName());
63 }
64 
65 } // namespace armnn
TransposeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const TransposeDescriptor & GetParameters() const
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
TransposeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
void Transpose(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Transpose.cpp:120
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:433
Copyright (c) 2021 ARM Limited and Contributors.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Transpose type.
virtual std::unique_ptr< IWorkload > CreateTranspose(const TransposeQueueDescriptor &descriptor, const WorkloadInfo &info) const
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:393
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:349
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeLayer.
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
TransposeLayer(const TransposeDescriptor &param, const char *name)
Constructor to create a TransposeLayer.
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
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...
This layer represents a transpose operation.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and the permutation vector.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318
A TransposeDescriptor for the TransposeLayer.
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
armnn::TensorShape TransposeTensorShape(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Transpose.cpp:98
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
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.
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:405