From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/_quantize_layer_8cpp_source.xhtml | 145 ++++++++++++++++++++++++++++++++ 1 file changed, 145 insertions(+) create mode 100644 20.02/_quantize_layer_8cpp_source.xhtml (limited to '20.02/_quantize_layer_8cpp_source.xhtml') diff --git a/20.02/_quantize_layer_8cpp_source.xhtml b/20.02/_quantize_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..ba575531fd --- /dev/null +++ b/20.02/_quantize_layer_8cpp_source.xhtml @@ -0,0 +1,145 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/QuantizeLayer.cpp Source File + + + + + + + + + + + + + + + + +
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QuantizeLayer.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "QuantizeLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/ILayerVisitor.hpp>
11 
12 namespace armnn
13 {
14 
15 QuantizeLayer::QuantizeLayer(const char* name)
16 : Layer(1, 1, LayerType::Quantize, name)
17 {}
18 
19 std::unique_ptr<IWorkload> QuantizeLayer::CreateWorkload(const IWorkloadFactory& factory) const
20 {
21  QuantizeQueueDescriptor descriptor;
22  WorkloadInfo info = PrepInfoAndDesc(descriptor);
23  return factory.CreateQuantize(descriptor, info);
24 }
25 
26 Layer* QuantizeLayer::Clone(Graph& graph) const
27 {
28  QuantizeLayer* clone = CloneBase<QuantizeLayer>(graph, GetName());
29  return clone;
30 }
31 
32 void QuantizeLayer::ValidateTensorShapesFromInputs()
33 {
34  VerifyLayerConnections(1, CHECK_LOCATION());
35 
36  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
37 
38  ConditionalThrowIfNotEqual<LayerValidationException>(
39  "QuantizeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
40  GetOutputSlot(0).GetTensorInfo().GetShape(),
41  inferredShapes[0]);
42 }
43 
44 void QuantizeLayer::Accept(ILayerVisitor& visitor) const
45 {
46  visitor.VisitQuantizeLayer(this, GetName());
47 }
48 
49 } //namespace armnn
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88
+
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:371
+
armnn::QuantizeLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: QuantizeLayer.cpp:44
+ +
armnn::ILayerVisitor::VisitQuantizeLayer
virtual void VisitQuantizeLayer(const IConnectableLayer *layer, const char *name=nullptr)=0
Function a quantize layer should call back to when its Accept(ILayerVisitor&) function is invoked...
+
armnn::QuantizeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Definition: QuantizeLayer.cpp:19
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
+ +
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338
+
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310
+
armnn::QuantizeLayer::QuantizeLayer
QuantizeLayer(const char *name)
Definition: QuantizeLayer.cpp:15
+
ILayerVisitor.hpp
+
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:351
+
armnn::IWorkloadFactory::CreateQuantize
virtual std::unique_ptr< IWorkload > CreateQuantize(const QuantizeQueueDescriptor &descriptor, const WorkloadInfo &Info) const
Definition: WorkloadFactory.cpp:1358
+
armnn::QuantizeLayer::Clone
Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: QuantizeLayer.cpp:26
+
armnn::Quantize
QuantizedType Quantize(float value, float scale, int32_t offset)
Quantize a floating point data type into an 8-bit data type.
Definition: TypesUtils.cpp:31
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+ +
QuantizeLayer.hpp
+
armnn::QuantizeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Definition: QuantizeLayer.cpp:32
+ + +
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:312
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armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
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armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition: WorkloadInfo.hpp:16
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armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:305
+
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
+ +
LayerCloneBase.hpp
+ +
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