From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_batch_to_space_nd_layer_8hpp_source.xhtml | 128 +++++++++++++++++++++++ 1 file changed, 128 insertions(+) create mode 100644 21.02/_batch_to_space_nd_layer_8hpp_source.xhtml (limited to '21.02/_batch_to_space_nd_layer_8hpp_source.xhtml') diff --git a/21.02/_batch_to_space_nd_layer_8hpp_source.xhtml b/21.02/_batch_to_space_nd_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..6c761952f4 --- /dev/null +++ b/21.02/_batch_to_space_nd_layer_8hpp_source.xhtml @@ -0,0 +1,128 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/BatchToSpaceNdLayer.hpp Source File + + + + + + + + + + + + + + + + +
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BatchToSpaceNdLayer.hpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
8 
9 namespace armnn
10 {
11 
12 /// This layer represents a BatchToSpaceNd operation.
13 class BatchToSpaceNdLayer : public LayerWithParameters<BatchToSpaceNdDescriptor>
14 {
15 public:
16  /// Makes a workload for the BatchToSpaceNd type.
17  /// @param [in] graph The graph where this layer can be found.
18  /// @param [in] factory The workload factory which will create the workload.
19  /// @return A pointer to the created workload, or nullptr if not created.
20  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
21 
22  /// Creates a dynamically-allocated copy of this layer.
23  /// @param [in] graph The graph into which this layer is being cloned.
24  BatchToSpaceNdLayer* Clone(Graph& graph) const override;
25 
26  /// Check if the input tensor shape(s)
27  /// will lead to a valid configuration of @ref BatchToSpaceNdLayer.
28  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
29  void ValidateTensorShapesFromInputs() override;
30 
31  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
32  /// otherwise infers the output shapes from given input shapes and layer properties.
33  /// @param [in] inputShapes The input shapes layer has.
34  /// @return A vector to the inferred output shape.
35  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
36 
37  void Accept(ILayerVisitor& visitor) const override;
38 
39 protected:
40  /// Constructor to create a BatchToSpaceNdLayer.
41  /// @param [in] param BatchToSpaceNdDescriptor to configure the BatchToSpaceNd operation.
42  /// @param [in] name Optional name for the layer.
43  BatchToSpaceNdLayer(const BatchToSpaceNdDescriptor& param, const char* name);
44 
45  /// Default destructor
46  ~BatchToSpaceNdLayer() = default;
47 };
48 
49 } // namespace
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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 std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the BatchToSpaceNd type.
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BatchToSpaceNdLayer(const BatchToSpaceNdDescriptor &param, const char *name)
Constructor to create a BatchToSpaceNdLayer.
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Copyright (c) 2021 ARM Limited and Contributors.
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A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
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~BatchToSpaceNdLayer()=default
Default destructor.
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void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of BatchToSpaceNdLayer.
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void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
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This layer represents a BatchToSpaceNd operation.
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BatchToSpaceNdLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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