From 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Wed, 22 Nov 2023 11:41:15 +0000 Subject: Update Doxygen for 23.11 Signed-off-by: Nikhil Raj Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849 --- 23.11/_log_softmax_layer_8cpp_source.html | 205 ++++++++++++++++++++++++++++++ 1 file changed, 205 insertions(+) create mode 100644 23.11/_log_softmax_layer_8cpp_source.html (limited to '23.11/_log_softmax_layer_8cpp_source.html') diff --git a/23.11/_log_softmax_layer_8cpp_source.html b/23.11/_log_softmax_layer_8cpp_source.html new file mode 100644 index 0000000000..eff5299b10 --- /dev/null +++ b/23.11/_log_softmax_layer_8cpp_source.html @@ -0,0 +1,205 @@ + + + + + + + + +Arm NN: src/armnn/layers/LogSoftmaxLayer.cpp Source File + + + + + + + + + + + + + + + + +
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+  23.11 +
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LogSoftmaxLayer.cpp
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+Go to the documentation of this file.
1 //
+
2 // Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
+
3 // SPDX-License-Identifier: MIT
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4 //
+
5 
+
6 #include "LogSoftmaxLayer.hpp"
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7 
+
8 #include "LayerCloneBase.hpp"
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9 
+
10 #include <armnn/TypesUtils.hpp>
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11 
+
12 #include <armnn/backends/WorkloadData.hpp>
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13 #include <armnn/backends/WorkloadFactory.hpp>
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14 
+
15 namespace armnn
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16 {
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17 
+
18 LogSoftmaxLayer::LogSoftmaxLayer(const LogSoftmaxDescriptor &param, const char* name)
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19  : LayerWithParameters(1, 1, LayerType::LogSoftmax, param, name) {}
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20 
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21 std::unique_ptr<IWorkload> LogSoftmaxLayer::CreateWorkload(const IWorkloadFactory& factory) const
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22 {
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23  LogSoftmaxQueueDescriptor descriptor;
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24  SetAdditionalInfo(descriptor);
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25 
+
26  return factory.CreateWorkload(LayerType::LogSoftmax, descriptor, PrepInfoAndDesc(descriptor));
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27 }
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28 
+
29 LogSoftmaxLayer* LogSoftmaxLayer::Clone(Graph& graph) const
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30 {
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31  return CloneBase<LogSoftmaxLayer>(graph, m_Param, GetName());
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32 }
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33 
+
34 void LogSoftmaxLayer::ValidateTensorShapesFromInputs()
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35 {
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36  VerifyLayerConnections(1, CHECK_LOCATION());
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37 
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38  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
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39 
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40  VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
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41 
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42  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
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43  ARMNN_ASSERT(inferredShapes.size() == 1);
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44 
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45  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "LogSoftmaxLayer");
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46 }
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47 
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48 void LogSoftmaxLayer::ExecuteStrategy(IStrategy& strategy) const
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49 {
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50  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
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51 }
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52 
+
53 } // namespace armnn
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+
+
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
+
armnn::LogSoftmaxLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: LogSoftmaxLayer.cpp:48
+
armnn::LogSoftmaxLayer::Clone
LogSoftmaxLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: LogSoftmaxLayer.cpp:29
+
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
+ +
armnn::LogSoftmaxLayer
This layer represents a log softmax operation.
Definition: LogSoftmaxLayer.hpp:14
+ +
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:435
+
armnn::LogSoftmaxLayer::LogSoftmaxLayer
LogSoftmaxLayer(const LogSoftmaxDescriptor &param, const char *name)
Constructor to create a LogSoftmaxLayer.
Definition: LogSoftmaxLayer.cpp:18
+ +
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::LogSoftmax
void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)
Definition: LogSoftmax.cpp:29
+ +
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
+
armnn::LayerWithParameters< LogSoftmaxDescriptor >::GetParameters
const LogSoftmaxDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
+ + +
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
+
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:592
+ +
armnn::LayerWithParameters< LogSoftmaxDescriptor >::m_Param
LogSoftmaxDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
+
armnn::LayerWithParameters< LogSoftmaxDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
+
armnn::LogSoftmaxLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of LogSoftmaxLayer.
Definition: LogSoftmaxLayer.cpp:34
+ +
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:504
+
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:287
+
armnn::LogSoftmaxLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the LogSoftmax type.
Definition: LogSoftmaxLayer.cpp:21
+ + +
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
+
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:410
+
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:391
+
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::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
+
armnn::SoftmaxDescriptor
A SoftmaxDescriptor for the SoftmaxLayer.
Definition: Descriptors.hpp:177
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