ArmNN
 20.11
RsqrtLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RsqrtLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
13 
14 namespace armnn
15 {
16 
17 RsqrtLayer::RsqrtLayer(const char* name)
18  : Layer(1, 1, LayerType::Rsqrt, name)
19 {
20 }
21 
22 std::unique_ptr<IWorkload> RsqrtLayer::CreateWorkload(const IWorkloadFactory& factory) const
23 {
24  RsqrtQueueDescriptor descriptor;
25  SetAdditionalInfo(descriptor);
26 
27  return factory.CreateRsqrt(descriptor, PrepInfoAndDesc(descriptor));
28 }
29 
31 {
32  return CloneBase<RsqrtLayer>(graph, GetName());
33 }
34 
36 {
38 
39  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
40 
42 
43  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
44 
45  ARMNN_ASSERT(inferredShapes.size() == 1);
46 
47  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "RsqrtLayer");
48 }
49 
50 void RsqrtLayer::Accept(ILayerVisitor& visitor) const
51 {
52  visitor.VisitRsqrtLayer(this, GetName());
53 }
54 
55 } // namespace armnn
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
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:367
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of RsqrtLayer.
Definition: RsqrtLayer.cpp:35
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432
Copyright (c) 2020 ARM Limited.
virtual std::unique_ptr< IWorkload > CreateRsqrt(const RsqrtQueueDescriptor &descriptor, const WorkloadInfo &info) const
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 VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:348
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:313
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:378
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: RsqrtLayer.cpp:50
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
RsqrtLayer(const char *name)
Constructor to create an RsqrtLayer.
Definition: RsqrtLayer.cpp:17
RsqrtLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: RsqrtLayer.cpp:30
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:315
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:308
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
virtual void VisitRsqrtLayer(const IConnectableLayer *layer, const char *name=nullptr)=0
Function a Reciprocal of square root layer should call back to when its Accept(ILayerVisitor&) functi...
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:405
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Rsqrt type.
Definition: RsqrtLayer.cpp:22