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/_elementwise_unary_layer_8cpp_source.xhtml | 148 +++++++++++++++++++++++ 1 file changed, 148 insertions(+) create mode 100644 20.02/_elementwise_unary_layer_8cpp_source.xhtml (limited to '20.02/_elementwise_unary_layer_8cpp_source.xhtml') diff --git a/20.02/_elementwise_unary_layer_8cpp_source.xhtml b/20.02/_elementwise_unary_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..970aab574b --- /dev/null +++ b/20.02/_elementwise_unary_layer_8cpp_source.xhtml @@ -0,0 +1,148 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/ElementwiseUnaryLayer.cpp Source File + + + + + + + + + + + + + + + + +
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ElementwiseUnaryLayer.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ElementwiseUnaryLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <backendsCommon/WorkloadData.hpp>
11 #include <backendsCommon/WorkloadFactory.hpp>
12 
13 #include <algorithm>
14 
15 namespace armnn
16 {
17 
18 ElementwiseUnaryLayer::ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name)
19  : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name)
20 {
21 }
22 
23 std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
24 {
25  ElementwiseUnaryQueueDescriptor descriptor;
26  return factory.CreateElementwiseUnary(descriptor, PrepInfoAndDesc(descriptor));
27 }
28 
29 ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const
30 {
31  return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName());
32 }
33 
34 std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
35 {
36  // Should return the shape of the input tensor
37  BOOST_ASSERT(inputShapes.size() == 1);
38  const TensorShape& input = inputShapes[0];
39 
40  return std::vector<TensorShape>({ input });
41 }
42 
43 void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()
44 {
45  VerifyLayerConnections(1, CHECK_LOCATION());
46 
47  std::vector<TensorShape> inferredShapes = InferOutputShapes({
48  GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape()});
49  BOOST_ASSERT(inferredShapes.size() == 1);
50 
51  ConditionalThrowIfNotEqual<LayerValidationException>(
52  "ElementwiseUnaryLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
53  GetOutputSlot(0).GetTensorInfo().GetShape(),
54  inferredShapes[0]);
55 }
56 
57 void ElementwiseUnaryLayer::Accept(ILayerVisitor& visitor) const
58 {
59  visitor.VisitElementwiseUnaryLayer(this, GetParameters(), GetName());
60 }
61 
62 } // namespace armnn
+
WorkloadData.hpp
+
armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::m_Param
ElementwiseUnaryDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50
+
armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::GetParameters
const ElementwiseUnaryDescriptor & GetParameters() const
Definition: LayerWithParameters.hpp:18
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88
+
WorkloadFactory.hpp
+ +
armnn::ElementwiseUnaryLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the elementwiseUnary type.
Definition: ElementwiseUnaryLayer.cpp:23
+
armnn::ElementwiseUnaryLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Returns inputShapes by default.
Definition: ElementwiseUnaryLayer.cpp:34
+
armnn::IWorkloadFactory::CreateElementwiseUnary
virtual std::unique_ptr< IWorkload > CreateElementwiseUnary(const ElementwiseUnaryQueueDescriptor &descriptor, const WorkloadInfo &Info) const
Definition: WorkloadFactory.cpp:1201
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+
armnn::ILayerVisitor::VisitElementwiseUnaryLayer
virtual void VisitElementwiseUnaryLayer(const IConnectableLayer *layer, const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)=0
Function a ElementwiseUnary layer should call back to when its Accept(ILayerVisitor&) function is inv...
+ +
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
+
armnn::ElementwiseUnaryLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: ElementwiseUnaryLayer.cpp:57
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armnn::ElementwiseUnaryLayer
This layer represents a elementwiseUnary operation.
Definition: ElementwiseUnaryLayer.hpp:14
+
ElementwiseUnaryLayer.hpp
+
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338
+
armnn::ElementwiseUnaryLayer::ElementwiseUnaryLayer
ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &param, const char *name)
Constructor to create a ElementwiseUnaryLayer.
Definition: ElementwiseUnaryLayer.cpp:18
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armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+ +
armnn::ElementwiseUnaryDescriptor
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
Definition: Descriptors.hpp:82
+
armnn::ElementwiseUnaryLayer::Clone
ElementwiseUnaryLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ElementwiseUnaryLayer.cpp:29
+
armnn::ElementwiseUnaryLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ElementwiseUnaryLayer.
Definition: ElementwiseUnaryLayer.cpp:43
+
armnn::LayerWithParameters< ElementwiseUnaryDescriptor >::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:312
+
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
+
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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