ArmNN
 21.02
DequantizeLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "DequantizeLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
11 
12 namespace armnn
13 {
14 
16  : Layer(1, 1, LayerType::Dequantize, name)
17 {}
18 
19 std::unique_ptr<IWorkload> DequantizeLayer::CreateWorkload(
20  const IWorkloadFactory& factory) const
21 {
22  DequantizeQueueDescriptor descriptor;
23  SetAdditionalInfo(descriptor);
24 
25  return factory.CreateDequantize(descriptor, PrepInfoAndDesc(descriptor));
26 }
27 
29 {
30  return CloneBase<DequantizeLayer>(graph, GetName());
31 }
32 
34 {
36 
37  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
38 
40 
41  std::vector<TensorShape> inferredShapes = InferOutputShapes({
43 
44  ARMNN_ASSERT(inferredShapes.size() == 1);
45 
46  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DequantizeLayer");
47 }
48 
50 {
51  visitor.VisitDequantizeLayer(this, GetName());
52 }
53 
54 } // namespace armnn
float Dequantize(QuantizedType value, float scale, int32_t offset)
Dequantize an 8-bit data type into a floating point data type.
Definition: TypesUtils.cpp:46
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:367
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Dequantize type.
DequantizeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432
Copyright (c) 2021 ARM Limited and Contributors.
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:348
DequantizeLayer(const char *name)
Constructor to create a DequantizeLayer.
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
This layer dequantizes the input tensor.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:381
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318
virtual void VisitDequantizeLayer(const IConnectableLayer *layer, const char *name=nullptr)=0
Function that a Dequantize layer should call back to when its Accept(ILayerVisitor&) function is invo...
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DequantizeLayer.
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:419
virtual std::unique_ptr< IWorkload > CreateDequantize(const DequantizeQueueDescriptor &descriptor, const WorkloadInfo &info) const