ArmNN
 21.02
ElementwiseUnaryLayer.cpp
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1 //
2 // Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "LayerCloneBase.hpp"
9 
12 
13 #include <algorithm>
14 
15 namespace armnn
16 {
17 
19  : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name)
20 {
21 }
22 
23 std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
24 {
26 
28  {
29  return factory.CreateLogicalUnary(descriptor, PrepInfoAndDesc(descriptor));
30  }
31 
32  return factory.CreateElementwiseUnary(descriptor, PrepInfoAndDesc(descriptor));
33 }
34 
36 {
37  return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName());
38 }
39 
40 std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
41 {
42  // Should return the shape of the input tensor
43  ARMNN_ASSERT(inputShapes.size() == 1);
44  const TensorShape& input = inputShapes[0];
45 
46  return std::vector<TensorShape>({ input });
47 }
48 
50 {
52 
53  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
54 
56 
57  std::vector<TensorShape> inferredShapes = InferOutputShapes({
59  ARMNN_ASSERT(inferredShapes.size() == 1);
60 
61  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType()));
62 }
63 
65 {
67 }
68 
69 } // namespace armnn
UnaryOperation m_Operation
Specifies the elementwiseUnary operation to execute.
ElementwiseUnaryDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const ElementwiseUnaryDescriptor & GetParameters() const
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
virtual std::unique_ptr< IWorkload > CreateLogicalUnary(const ElementwiseUnaryQueueDescriptor &descriptor, const WorkloadInfo &Info) const
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the elementwiseUnary type.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Returns inputShapes by default.
virtual std::unique_ptr< IWorkload > CreateElementwiseUnary(const ElementwiseUnaryQueueDescriptor &descriptor, const WorkloadInfo &Info) const
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432
Copyright (c) 2021 ARM Limited and Contributors.
virtual void VisitElementwiseUnaryLayer(const IConnectableLayer *layer, const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)=0
Function a ElementwiseUnary layer should call back to when its Accept(ILayerVisitor&) function is inv...
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:392
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
This layer represents a elementwiseUnary operation.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:348
ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &param, const char *name)
Constructor to create a ElementwiseUnaryLayer.
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
LayerType GetType() const override
Returns the armnn::LayerType of this layer.
Definition: Layer.hpp:265
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
Definition: Descriptors.hpp:98
ElementwiseUnaryLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ElementwiseUnaryLayer.
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
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
const char * GetLayerTypeAsCString(LayerType type)
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:419