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/_activation_layer_8cpp_source.xhtml | 148 ++++++++++++++++++++++++++++++ 1 file changed, 148 insertions(+) create mode 100644 20.02/_activation_layer_8cpp_source.xhtml (limited to '20.02/_activation_layer_8cpp_source.xhtml') diff --git a/20.02/_activation_layer_8cpp_source.xhtml b/20.02/_activation_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..7711b57440 --- /dev/null +++ b/20.02/_activation_layer_8cpp_source.xhtml @@ -0,0 +1,148 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/ActivationLayer.cpp Source File + + + + + + + + + + + + + + + + +
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ActivationLayer.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 #include "ActivationLayer.hpp"
6 #include "LayerCloneBase.hpp"
7 
8 #include <armnn/TypesUtils.hpp>
11 
12 namespace armnn
13 {
14 
16  : LayerWithParameters(1, 1, LayerType::Activation, param, name)
17 {
18 }
19 
20 std::unique_ptr<IWorkload> ActivationLayer::CreateWorkload(const IWorkloadFactory& factory) const
21 {
22  ActivationQueueDescriptor descriptor;
23  return factory.CreateActivation(descriptor, PrepInfoAndDesc(descriptor));
24 }
25 
27 {
28  return CloneBase<ActivationLayer>(graph, m_Param, GetName());
29 }
30 
32 {
34 
35  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
36 
37  BOOST_ASSERT(inferredShapes.size() == 1);
38 
39  ConditionalThrowIfNotEqual<LayerValidationException>(
40  "ActivationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
42  inferredShapes[0]);
43 }
44 
46 {
47  visitor.VisitActivationLayer(this, GetParameters(), GetName());
48 }
49 
50 } // namespace armnn
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ActivationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
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const ActivationDescriptor & GetParameters() const
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const TensorShape & GetShape() const
Definition: Tensor.hpp:88
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virtual void VisitActivationLayer(const IConnectableLayer *layer, const ActivationDescriptor &activationDescriptor, const char *name=nullptr)=0
Function that an activation layer should call back to when its Accept(ILayerVisitor&) function is inv...
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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
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void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ActivationLayer.
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This layer represents an activation operation with the specified activation function.
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Copyright (c) 2020 ARM Limited.
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virtual std::unique_ptr< IWorkload > CreateActivation(const ActivationQueueDescriptor &descriptor, const WorkloadInfo &info) const
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const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
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void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338
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const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310
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void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
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float Activation(float in, ActivationFunction function, float a, float b)
Definition: Activation.cpp:13
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ActivationLayer(const ActivationDescriptor &param, const char *name)
Constructor to create an ActivationLayer.
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An ActivationDescriptor for the ActivationLayer.
Definition: Descriptors.hpp:20
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#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
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ActivationLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
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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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virtual const TensorInfo & GetTensorInfo() const =0
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const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:305
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const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
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virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Activation type.
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