ArmNN
 25.11
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BroadcastToLayer.cpp
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1//
2// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
7
8#include "LayerCloneBase.hpp"
12
13namespace armnn
14{
15
17 : LayerWithParameters(1, 1, LayerType::BroadcastTo, param, name)
18{}
19
20std::unique_ptr<IWorkload> BroadcastToLayer::CreateWorkload(const IWorkloadFactory& factory) const
21{
23 SetAdditionalInfo(descriptor);
24
25 return factory.CreateWorkload(LayerType::BroadcastTo, descriptor, PrepInfoAndDesc(descriptor));
26}
27
32
33std::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
#define CHECK_LOCATION()
BroadcastToLayer(const BroadcastToDescriptor &param, const char *name)
Constructor to create a BroadcastToLayer.
void ExecuteStrategy(IStrategy &strategy) const override
Execute Strategy on BroadcastTo layer.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and layer properties.
void ValidateTensorShapesFromInputs() override
Check if the input tensor BroadcastTo(s) will lead to a valid configuration of BroadcastToLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the BroadcastTo type.
BroadcastToLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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
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.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition Layer.cpp:410
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition Layer.cpp:526
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition Layer.hpp:339
LayerType * CloneBase(Graph &graph, Params &&... params) const
const char * GetName() const override
Returns the name of the layer.
Definition Layer.hpp:332
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition Layer.cpp:457
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition Layer.cpp:303
ShapeInferenceMethod m_ShapeInferenceMethod
Definition Layer.hpp:441
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const BroadcastToDescriptor &param, const char *name)
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
const BroadcastToDescriptor & GetParameters() const override
const TensorInfo & GetTensorInfo() const override
Definition Layer.cpp:100
const TensorShape & GetShape() const
Definition Tensor.hpp:193
Copyright (c) 2021 ARM Limited and Contributors.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition Types.hpp:494