ArmNN
 24.08
FillLayer.cpp
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1 //
2 // Copyright © 2020-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "FillLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
12 
13 namespace armnn
14 {
15 
16 FillLayer::FillLayer(const FillDescriptor& param, const char* name)
17  : LayerWithParameters(1, 1, LayerType::Fill, param, name)
18 {
19 }
20 
21 std::unique_ptr<IWorkload> FillLayer::CreateWorkload(const IWorkloadFactory& factory) const
22 {
23  FillQueueDescriptor descriptor;
24  SetAdditionalInfo(descriptor);
25 
26  return factory.CreateWorkload(LayerType::Fill, descriptor, PrepInfoAndDesc(descriptor) );
27 }
28 
30 {
31  return CloneBase<FillLayer>(graph, m_Param, GetName());
32 }
33 
35 {
37 
38  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
39 
41 
42  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
43 
44  if (inferredShapes.size() != 1)
45  {
46  throw armnn::Exception("inferredShapes has "
47  + std::to_string(inferredShapes.size()) +
48  " elements - should only have 1.");
49  }
50 
51  // Cannot validate the output shape from the input shape. but we can validate that the correct dims have been
52  // inferred
53  ConditionalThrowIfNotEqual<LayerValidationException>(
54  "FillLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
55  GetOutputSlot(0).GetTensorInfo().GetNumDimensions(),
56  inferredShapes[0][0]);
57 }
58 
60 {
61  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
62 }
63 
64 } // namespace armnn
armnn::FillLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Fill layer.
Definition: FillLayer.cpp:21
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
FillLayer.hpp
TypesUtils.hpp
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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::IStrategy
Definition: IStrategy.hpp:16
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
armnn::LayerWithParameters< FillDescriptor >::GetParameters
const FillDescriptor & 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::FillLayer::FillLayer
FillLayer(const FillDescriptor &descriptor, const char *name)
Constructor to create a FillLayer.
Definition: FillLayer.cpp:16
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:614
armnn::Fill
void Fill(Encoder< float > &output, const TensorShape &desiredOutputShape, const float value)
Creates a tensor and fills it with a scalar value.
Definition: Fill.cpp:13
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::LayerWithParameters< FillDescriptor >::m_Param
FillDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::LayerWithParameters< FillDescriptor >::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::FillQueueDescriptor
Definition: WorkloadData.hpp:174
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:33
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::FillLayer
This layer represents a fill operation.
Definition: FillLayer.hpp:13
armnn::FillDescriptor
A FillDescriptor for the FillLayer.
Definition: Descriptors.hpp:925
armnn::FillLayer::Clone
FillLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: FillLayer.cpp:29
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::LayerType::Fill
@ Fill
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition: Layer.cpp:432
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::FillLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FillLayer.
Definition: FillLayer.cpp:34
armnn::FillLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: FillLayer.cpp:59
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::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