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/_transpose_layer_8hpp_source.xhtml | 139 +++++++++++++++++++++++++++++++ 1 file changed, 139 insertions(+) create mode 100644 20.02/_transpose_layer_8hpp_source.xhtml (limited to '20.02/_transpose_layer_8hpp_source.xhtml') diff --git a/20.02/_transpose_layer_8hpp_source.xhtml b/20.02/_transpose_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..e1068dd19f --- /dev/null +++ b/20.02/_transpose_layer_8hpp_source.xhtml @@ -0,0 +1,139 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/TransposeLayer.hpp Source File + + + + + + + + + + + + + + + + +
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TransposeLayer.hpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2020 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
8 
9 namespace armnn
10 {
11 
12 /// This layer represents a transpose operation.
13 class TransposeLayer : public LayerWithParameters<TransposeDescriptor>
14 {
15 public:
16  /// Makes a workload for the Transpose type.
17  /// @param [in] factory The workload factory which will create the workload.
18  /// @return A pointer to the created workload, or nullptr if not created.
19  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
20 
21  /// Creates a dynamically-allocated copy of this layer.
22  /// @param [in] graph The graph into which this layer is being cloned.
23  TransposeLayer* Clone(Graph& graph) const override;
24 
25  /// Check if the input tensor shape(s)
26  /// will lead to a valid configuration of @ref TransposeLayer.
27  void ValidateTensorShapesFromInputs() override;
28 
29  /// Infers the output shapes from given input shapes and the permutation vector.
30  /// @param [in] inputShapes The input shapes layer has.
31  /// @return A vector to the inferred output shape.
32  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
33 
34  /// @return a permutation vector describing the permutation for the dimensions of the input tensor.
36  {
37  return m_Param.m_DimMappings;
38  }
39 
40  /// Indicates if the other layer received is inverse of this one.
41  /// @param [in] other The other layer to be compared with.
42  /// @return true if other layer is inverse of this false otherwise.
43  bool IsInverse(const Layer& other) const
44  {
45  return (other.GetType() == LayerType::Transpose) &&
46  GetPermutation().IsInverse(boost::polymorphic_downcast<const TransposeLayer*>(&other)->GetPermutation());
47  }
48 
49  /// Indicates if the other layer received is equal to this one.
50  /// @param [in] other The other layer to be compare with.
51  /// @return true if other layer is equal to this false otherwise.
52  bool IsEqual(const Layer& other) const
53  {
54  return (other.GetType() == LayerType::Transpose) &&
55  GetPermutation().IsEqual(boost::polymorphic_downcast<const TransposeLayer*>(&other)->GetPermutation());
56  }
57 
58  void Accept(ILayerVisitor& visitor) const override;
59 
60 protected:
61  /// Constructor to create a TransposeLayer.
62  /// @param [in] param TransposeDescriptor to configure the permute operation.
63  /// @param [in] name Optional name for the layer.
64  TransposeLayer(const TransposeDescriptor& param, const char* name);
65 
66  /// Default destructor
67  ~TransposeLayer() = default;
68 };
69 
70 } // namespace
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bool IsEqual(const Layer &other) const
Indicates if the other layer received is equal to this one.
+
TransposeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
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void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
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TransposeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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~TransposeLayer()=default
Default destructor.
+ +
Copyright (c) 2020 ARM Limited.
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virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Transpose type.
+
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeLayer.
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TransposeLayer(const TransposeDescriptor &param, const char *name)
Constructor to create a TransposeLayer.
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bool IsInverse(const Layer &other) const
Indicates if the other layer received is inverse of this one.
+ + +
This layer represents a transpose operation.
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bool IsEqual(const PermutationVector &other) const
Definition: Types.hpp:207
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std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and the permutation vector.
+ +
LayerType GetType() const
Definition: Layer.hpp:259
+
A TransposeDescriptor for the TransposeLayer.
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bool IsInverse(const PermutationVector &other) const
Definition: Types.hpp:217
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const PermutationVector & GetPermutation() const
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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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