ArmNN
 25.11
Loading...
Searching...
No Matches
ConstantLayer.cpp
Go to the documentation of this file.
1//
2// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5#include "ConstantLayer.hpp"
6#include "LayerCloneBase.hpp"
7
12
13namespace armnn
14{
15
17 : Layer(0, 1, LayerType::Constant, name)
18{
19}
20
21std::unique_ptr<IWorkload> ConstantLayer::CreateWorkload(const IWorkloadFactory& factory) const
22{
23 ConstantQueueDescriptor descriptor;
24 descriptor.m_LayerOutput = m_LayerOutput.get();
25 SetAdditionalInfo(descriptor);
26
27 return factory.CreateWorkload(LayerType::Constant, descriptor, PrepInfoAndDesc(descriptor));
28}
29
31{
32 // Cloned layers share the same layer output object.
33 auto layer = CloneBase<ConstantLayer>(graph, GetName());
34
35 layer->m_LayerOutput = m_LayerOutput ? m_LayerOutput : nullptr;
36
37 return std::move(layer);
38}
39
40std::vector<TensorShape> ConstantLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
41{
42 return std::vector<TensorShape>({ inputShapes[0] });
43}
44
46{
47
48 // Get the output shape from the value of the constant layer.
49 TensorShape const& outShape = m_LayerOutput->GetTensorInfo().GetShape();
50
53 "Constant layer m_LayerOutput output shape can not be Dimensionality::NotSpecified");
54
57 "Constant layer m_LayerOutput output shape can not have an unspecified dimension");
58
60 "ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
61 GetOutputSlot(0).GetTensorInfo().GetShape(),
62 outShape);
63}
64
66{
67 ManagedConstTensorHandle managedLayerOutput(m_LayerOutput);
68 ConstTensor layerOutputTensor(managedLayerOutput.GetTensorInfo(), managedLayerOutput.Map());
69 strategy.ExecuteStrategy(this, BaseDescriptor(), { layerOutputTensor }, GetName());
70}
71
73{
74 fn("DataType",GetDataTypeName(m_LayerOutput->GetTensorInfo().GetDataType()));
76}
77
78} // namespace armnn
A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.
Definition Tensor.hpp:330
ConstantLayer(const char *name)
Constructor to create a ConstantLayer.
void SerializeLayerParameters(ParameterStringifyFunction &fn) const override
Helper to serialize the layer parameters to string.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
ConstantLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ConstantLayer.
std::shared_ptr< ConstTensorHandle > m_LayerOutput
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Constant type.
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
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.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition Layer.hpp:409
Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition Layer.cpp:260
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition Layer.hpp:339
LayerType * CloneBase(Graph &graph, Params &&... params) const
virtual void SerializeLayerParameters(ParameterStringifyFunction &fn) const
Helper to serialize the layer parameters to string.
Definition Layer.cpp:540
const char * GetName() const override
Returns the name of the layer.
Definition Layer.hpp:332
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition Layer.cpp:303
friend class Graph
Definition Layer.hpp:382
const void * Map(bool blocking=true)
RAII Managed resource Unmaps MemoryArea once out of scope.
const TensorInfo & GetTensorInfo() const
Dimensionality GetDimensionality() const
Function that returns the tensor type.
Definition Tensor.hpp:92
bool AreAllDimensionsSpecified() const
Checks if there is at least one dimension not specified.
Definition Tensor.cpp:241
Copyright (c) 2021 ARM Limited and Contributors.
constexpr const char * GetDataTypeName(DataType dataType)
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition Types.hpp:494
std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction
void ConditionalThrowIfNotEqual(const std::string &message, const ComparedType &leftHandSide, const ComparedType &rightHandSide)
ComparedType must support: operator==(const ComparedType&) operator<<(ostream&, const ComparedType&)
void ConditionalThrow(bool condition, const std::string &message)
armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const armnn::DataLayout dataLayout, const armnn::DataType dataType)
Base class for all descriptors.
const ConstTensorHandle * m_LayerOutput