ArmNN
 24.08
BroadcastToLayer.cpp
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1 //
2 // Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "BroadcastToLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 #include <armnn/TypesUtils.hpp>
12 
13 namespace armnn
14 {
15 
17  : LayerWithParameters(1, 1, LayerType::BroadcastTo, param, name)
18 {}
19 
20 std::unique_ptr<IWorkload> BroadcastToLayer::CreateWorkload(const IWorkloadFactory& factory) const
21 {
22  BroadcastToQueueDescriptor descriptor;
23  SetAdditionalInfo(descriptor);
24 
25  return factory.CreateWorkload(LayerType::BroadcastTo, descriptor, PrepInfoAndDesc(descriptor));
26 }
27 
29 {
30  return CloneBase<BroadcastToLayer>(graph, m_Param, GetName());
31 }
32 
33 std::vector<TensorShape> BroadcastToLayer::InferOutputShapes(const std::vector<TensorShape>&) const
34 {
35  return std::vector<TensorShape>({ m_Param.m_BroadcastToShape });
36 }
37 
39 {
41 
42  const TensorShape &outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
43 
45 
46  auto inferredShapes = outputShape;
47 
48  ValidateAndCopyShape(outputShape, inferredShapes, m_ShapeInferenceMethod, "BroadcastToLayer");
49 }
50 
52 {
53  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
54 }
55 
56 } //namespace armnn
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
armnn::BroadcastToLayer
Definition: BroadcastToLayer.hpp:13
TypesUtils.hpp
armnn::BroadcastToLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and layer properties.
Definition: BroadcastToLayer.cpp:33
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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:457
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
armnn::BroadcastToDescriptor::m_BroadcastToShape
TensorShape m_BroadcastToShape
Target shape value.
Definition: Descriptors.hpp:1675
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::LayerWithParameters< BroadcastToDescriptor >::GetParameters
const BroadcastToDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
WorkloadFactory.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::LayerWithParameters< BroadcastToDescriptor >::m_Param
BroadcastToDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::BroadcastToLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Execute Strategy on BroadcastTo layer.
Definition: BroadcastToLayer.cpp:51
armnn::LayerWithParameters< BroadcastToDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::LayerType::BroadcastTo
@ BroadcastTo
BroadcastToLayer.hpp
armnn::BroadcastToQueueDescriptor
Definition: WorkloadData.hpp:768
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::BroadcastToLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the BroadcastTo type.
Definition: BroadcastToLayer.cpp:20
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::BroadcastToDescriptor
Definition: Descriptors.hpp:1659
armnn::BroadcastToLayer::Clone
BroadcastToLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: BroadcastToLayer.cpp:28
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:491
armnn::BroadcastToLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor BroadcastTo(s) will lead to a valid configuration of BroadcastToLayer.
Definition: BroadcastToLayer.cpp:38
armnn::BroadcastToLayer::BroadcastToLayer
BroadcastToLayer(const BroadcastToDescriptor &param, const char *name)
Constructor to create a BroadcastToLayer.
Definition: BroadcastToLayer.cpp:16
armnn::Graph
Definition: Graph.hpp:30
armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
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
LayerCloneBase.hpp