ArmNN
 20.08
SoftmaxLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "SoftmaxLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
12 
13 namespace armnn
14 {
15 
16 SoftmaxLayer::SoftmaxLayer(const SoftmaxDescriptor &param, const char* name)
17  : LayerWithParameters(1, 1, LayerType::Softmax, param, name)
18 {
19 }
20 
21 std::unique_ptr<IWorkload> SoftmaxLayer::CreateWorkload(const IWorkloadFactory& factory) const
22 {
23  SoftmaxQueueDescriptor descriptor;
24  return factory.CreateSoftmax(descriptor, PrepInfoAndDesc(descriptor));
25 }
26 
28 {
29  return CloneBase<SoftmaxLayer>(graph, m_Param, GetName());
30 }
31 
33 {
35 
36  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
37 
39 
40  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
41 
42  ARMNN_ASSERT(inferredShapes.size() == 1);
43 
44  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SoftmaxLayer");
45 }
46 
47 void SoftmaxLayer::Accept(ILayerVisitor& visitor) const
48 {
49  visitor.VisitSoftmaxLayer(this, GetParameters(), GetName());
50 }
51 
52 } // namespace armnn
SoftmaxDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const SoftmaxDescriptor & GetParameters() const
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:365
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432
Copyright (c) 2020 ARM Limited.
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:344
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:312
This layer represents a softmax operation.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SoftmaxLayer.
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
SoftmaxLayer(const SoftmaxDescriptor &param, const char *name)
Constructor to create a SoftmaxLayer.
virtual void VisitSoftmaxLayer(const IConnectableLayer *layer, const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)=0
Function that a softmax layer should call back to when its Accept(ILayerVisitor&) function is invoked...
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:314
virtual const TensorInfo & GetTensorInfo() const =0
virtual std::unique_ptr< IWorkload > CreateSoftmax(const SoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info) const
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:307
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Softmax type.
SoftmaxLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
void Softmax(Decoder< float > &in, Encoder< float > &out, const TensorInfo &inputTensorInfo, float beta, int axis)
Computes the softmax function on some inputs, into outputs, with a shape given by tensorInfo...
Definition: Softmax.cpp:17
A SoftmaxDescriptor for the SoftmaxLayer.
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:387