ArmNN
 24.08
ConvertFp16ToFp32Layer.cpp
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1 //
2 // Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
10 
13 
14 namespace armnn
15 {
16 
18  : Layer(1, 1, LayerType::ConvertFp16ToFp32, name)
19 {
20 }
21 
22 std::unique_ptr<IWorkload> ConvertFp16ToFp32Layer::CreateWorkload(const IWorkloadFactory& factory) const
23 {
25  SetAdditionalInfo(descriptor);
26 
27  return factory.CreateWorkload(LayerType::ConvertFp16ToFp32, descriptor, PrepInfoAndDesc(descriptor));
28 }
29 
31 {
32  return CloneBase<ConvertFp16ToFp32Layer>(graph, GetName());
33 }
34 
36 {
38 
39  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
40 
42 
43  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
44 
45  if (inferredShapes.size() != 1)
46  {
47  throw armnn::LayerValidationException("inferredShapes has "
48  + std::to_string(inferredShapes.size()) +
49  " elements - should only have 1.");
50  }
51 
52  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ConvertFp16ToFp32Layer");
53 }
54 
56 {
57  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
58 }
59 
60 } // namespace armnn
armnn::ConvertFp16ToFp32Layer::Clone
ConvertFp16ToFp32Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ConvertFp16ToFp32Layer.cpp:30
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
TypesUtils.hpp
armnn::LayerType::ConvertFp16ToFp32
@ ConvertFp16ToFp32
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::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
WorkloadFactory.hpp
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::Layer
Definition: Layer.hpp:230
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:614
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::ConvertFp16ToFp32Layer
This layer converts data type Float 16 to Float 32.
Definition: ConvertFp16ToFp32Layer.hpp:14
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
armnn::LayerValidationException
Definition: Exceptions.hpp:105
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::ConvertFp16ToFp32Layer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ConvertFp16ToFp32Layer.cpp:55
armnn::ConvertFp16ToFp32Layer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ConvertFp16ToFp32 type.
Definition: ConvertFp16ToFp32Layer.cpp:22
armnn::Layer::GetParameters
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition: Layer.hpp:378
armnn::ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ConvertFp16ToFp32Layer.
Definition: ConvertFp16ToFp32Layer.cpp:35
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
ConvertFp16ToFp32Layer.hpp
armnn::ConvertFp16ToFp32QueueDescriptor
Definition: WorkloadData.hpp:452
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::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
armnn::ConvertFp16ToFp32Layer::ConvertFp16ToFp32Layer
ConvertFp16ToFp32Layer(const char *name)
Constructor to create a ConvertFp16ToFp32Layer.
Definition: ConvertFp16ToFp32Layer.cpp:17