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/_permute_layer_8cpp_source.xhtml | 152 +++++++++++++++++++++++++++++++++ 1 file changed, 152 insertions(+) create mode 100644 20.02/_permute_layer_8cpp_source.xhtml (limited to '20.02/_permute_layer_8cpp_source.xhtml') diff --git a/20.02/_permute_layer_8cpp_source.xhtml b/20.02/_permute_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..9267aeb24b --- /dev/null +++ b/20.02/_permute_layer_8cpp_source.xhtml @@ -0,0 +1,152 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/PermuteLayer.cpp Source File + + + + + + + + + + + + + + + + +
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PermuteLayer.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 "PermuteLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
12 #include <armnnUtils/Permute.hpp>
13 
16 
17 namespace armnn
18 {
19 
20 PermuteLayer::PermuteLayer(const PermuteDescriptor& param, const char* name)
21  : LayerWithParameters(1, 1, LayerType::Permute, param, name)
22 {
23 }
24 
25 std::unique_ptr<IWorkload> PermuteLayer::CreateWorkload(const IWorkloadFactory& factory) const
26 {
27  PermuteQueueDescriptor descriptor;
28  return factory.CreatePermute(descriptor, PrepInfoAndDesc(descriptor));
29 }
30 
32 {
33  return CloneBase<PermuteLayer>(graph, m_Param, GetName());
34 }
35 
36 std::vector<TensorShape> PermuteLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
37 {
38  BOOST_ASSERT(inputShapes.size() == 1);
39  const TensorShape& inShape = inputShapes[0];
40  return std::vector<TensorShape> ({armnnUtils::Permuted(inShape, m_Param.m_DimMappings)});
41 }
42 
44 {
46 
47  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
48 
49  BOOST_ASSERT(inferredShapes.size() == 1);
50 
51  ConditionalThrowIfNotEqual<LayerValidationException>(
52  "PermuteLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
54  inferredShapes[0]);
55 }
56 
57 void PermuteLayer::Accept(ILayerVisitor& visitor) const
58 {
59  visitor.VisitPermuteLayer(this, GetParameters(), GetName());
60 }
61 
62 } // namespace armnn
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
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virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Permute type.
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PermuteDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
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const PermuteDescriptor & GetParameters() const
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const TensorShape & GetShape() const
Definition: Tensor.hpp:88
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PermuteLayer(const PermuteDescriptor &param, const char *name)
Constructor to create a PermuteLayer.
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Copyright (c) 2020 ARM Limited.
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const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
+
This layer represents a permutation operation.
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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, otherwise infers the output shapes from given input shapes and layer properties.
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virtual void VisitPermuteLayer(const IConnectableLayer *layer, const PermuteDescriptor &permuteDescriptor, const char *name=nullptr)=0
Function that a permute layer should call back to when its Accept(ILayerVisitor&) function is invoked...
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PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g.
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void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PermuteLayer.
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void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338
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void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Permute.cpp:121
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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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PermuteLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
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virtual std::unique_ptr< IWorkload > CreatePermute(const PermuteQueueDescriptor &descriptor, const WorkloadInfo &info) const
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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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armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Permute.cpp:98
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A PermuteDescriptor for the PermuteLayer.
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