ArmNN
 22.11
LogSoftmaxLayer.cpp
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1 //
2 // Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "LogSoftmaxLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
14 
15 namespace armnn
16 {
17 
19  : LayerWithParameters(1, 1, LayerType::LogSoftmax, param, name) {}
20 
21 std::unique_ptr<IWorkload> LogSoftmaxLayer::CreateWorkload(const IWorkloadFactory& factory) const
22 {
23  LogSoftmaxQueueDescriptor descriptor;
24  SetAdditionalInfo(descriptor);
25 
26  return factory.CreateWorkload(LayerType::LogSoftmax, descriptor, PrepInfoAndDesc(descriptor));
27 }
28 
30 {
31  return CloneBase<LogSoftmaxLayer>(graph, m_Param, GetName());
32 }
33 
35 {
37 
38  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
39 
41 
42  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
43  ARMNN_ASSERT(inferredShapes.size() == 1);
44 
45  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "LogSoftmaxLayer");
46 }
47 
49 {
50  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
51 }
52 
53 } // namespace armnn
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of LogSoftmaxLayer.
LogSoftmaxDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the LogSoftmax type.
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
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:397
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491
Copyright (c) 2021 ARM Limited and Contributors.
const LogSoftmaxDescriptor & GetParameters() const override
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:206
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:422
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:324
This layer represents a log softmax operation.
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)
Definition: LogSoftmax.cpp:29
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
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:274
LogSoftmaxLayer(const LogSoftmaxDescriptor &param, const char *name)
Constructor to create a LogSoftmaxLayer.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:326
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:319
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
A SoftmaxDescriptor for the SoftmaxLayer.
LogSoftmaxLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:423
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:468