patch/22.02/_arg_min_max_layer_8cpp_source.xhtml

 //
 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //

 #include "ArgMinMaxLayer.hpp"
 #include "LayerCloneBase.hpp"

 #include <armnn/TypesUtils.hpp>

 #include <armnnUtils/TensorUtils.hpp>

 #include <armnn/backends/WorkloadData.hpp>
 #include <armnn/backends/WorkloadFactory.hpp>

 namespace armnn
 {

 ArgMinMaxLayer::ArgMinMaxLayer(const ArgMinMaxDescriptor& param, const char* name)
     : LayerWithParameters(1, 1, LayerType::ArgMinMax, param, name)
 {
 }

 std::unique_ptr<IWorkload> ArgMinMaxLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     ArgMinMaxQueueDescriptor descriptor;
     SetAdditionalInfo(descriptor);

     return factory.CreateWorkload(LayerType::ArgMinMax, descriptor, PrepInfoAndDesc(descriptor));
 }

 ArgMinMaxLayer* ArgMinMaxLayer::Clone(Graph& graph) const
 {
     return CloneBase<ArgMinMaxLayer>(graph, m_Param, GetName());
 }

 std::vector<TensorShape> ArgMinMaxLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
 {
     ARMNN_ASSERT(inputShapes.size() == 1);

     TensorShape inputShape = inputShapes[0];
     auto inputNumDimensions = inputShape.GetNumDimensions();

     auto axis = m_Param.m_Axis;
     auto unsignedAxis = armnnUtils::GetUnsignedAxis(inputNumDimensions, axis);

     ARMNN_ASSERT(unsignedAxis <= inputNumDimensions);

     // 1D input shape results in scalar output
     if (inputShape.GetNumDimensions() == 1)
     {
         std::vector<unsigned int> tensorDimensions(1, 1);
         TensorShape outputShape(1, tensorDimensions.data());

         return std::vector<TensorShape>({ outputShape });
     }

     std::vector<unsigned int> tensorDimensions(inputNumDimensions - 1, 0);
     for (unsigned int i = 0; i < unsignedAxis; ++i)
     {
         tensorDimensions[i] = inputShape[i];
     }

     for (unsigned int i = unsignedAxis + 1; i < inputNumDimensions; ++i)
     {
         tensorDimensions[i - 1] = inputShape[i];
     }

     TensorShape outputShape = TensorShape(inputNumDimensions - 1, tensorDimensions.data());

     return std::vector<TensorShape>({ outputShape });
 }

 void ArgMinMaxLayer::ValidateTensorShapesFromInputs()
 {
     VerifyLayerConnections(1, CHECK_LOCATION());

     const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();

     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);

     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });

     ARMNN_ASSERT(inferredShapes.size() == 1);

     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ArgMinMaxLayer");
 }

 ARMNN_NO_DEPRECATE_WARN_BEGIN
 void ArgMinMaxLayer::Accept(ILayerVisitor& visitor) const
 {
     visitor.VisitArgMinMaxLayer(this, GetParameters(), GetName());
 }
 ARMNN_NO_DEPRECATE_WARN_END

 } // namespace armnn
armnn::LayerWithParameters< ArgMinMaxDescriptor >::m_Param
ArgMinMaxDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191

+ARMNN_NO_DEPRECATE_WARN_BEGIN
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::ArgMinMaxLayer::Clone
ArgMinMaxLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ArgMinMaxLayer.cpp:32

+WorkloadFactory.hpp

+armnn::ArgMinMax
void ArgMinMax(Decoder< float > &in, OUT *out, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, ArgMinMaxFunction function, int axis)
Definition: ArgMinMax.cpp:16

+armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:436

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6

+armnn::LayerWithParameters< ArgMinMaxDescriptor >::GetParameters
const ArgMinMaxDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:18

+armnn::TensorShape
Definition: Tensor.hpp:20

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:204

+armnn::ArgMinMaxLayer::ArgMinMaxLayer
ArgMinMaxLayer(const ArgMinMaxDescriptor &param, const char *name)
Constructor to create a ArgMinMaxLayer.
Definition: ArgMinMaxLayer.cpp:19

+ArgMinMaxLayer.hpp

+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:396

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:352

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:321

+TypesUtils.hpp

+ARMNN_NO_DEPRECATE_WARN_END
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34

+armnn::ArgMinMaxLayer::Accept
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
Definition: ArgMinMaxLayer.cpp:90

+armnn::ArgMinMaxDescriptor
An ArgMinMaxDescriptor for ArgMinMaxLayer.
Definition: Descriptors.hpp:67

+armnnUtils::GetUnsignedAxis
unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)
Definition: TensorUtils.cpp:148

+armnn::ArgMinMaxLayer
This layer represents a ArgMinMax operation.
Definition: ArgMinMaxLayer.hpp:14

+ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14

+armnn::ArgMinMaxLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ArgMinMax type.
Definition: ArgMinMaxLayer.cpp:24

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:209

+armnn::Graph
Definition: Graph.hpp:30

+armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:248

+TensorUtils.hpp

+armnn::ArgMinMaxQueueDescriptor
Definition: WorkloadData.hpp:151

+armnn::TensorShape::GetNumDimensions
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174

+armnn::LayerType::ArgMinMax

+armnn::LayerWithParameters< ArgMinMaxDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:323

+armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0

+armnn::ArgMinMaxLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ArgMinMaxLayer.
Definition: ArgMinMaxLayer.cpp:74

+armnn::ArgMinMaxDescriptor::m_Axis
int m_Axis
Axis to reduce across the input tensor.
Definition: Descriptors.hpp:83

+armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:316

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:13

+armnn::ArgMinMaxLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shape from a given input shape and axis parameter.
Definition: ArgMinMaxLayer.cpp:37

+armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1541

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:66

+armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:415

+WorkloadData.hpp

+LayerCloneBase.hpp

+armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:458

+