From f4019872c1134c6fcc1d6993e5746f55c1e79208 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 8 Mar 2022 20:01:38 +0000 Subject: IVGCVSW-6819 Fix the directory structure and broken link to latest docu Signed-off-by: Nikhil Raj Change-Id: I05b559d15faf92c76ff536719693b361316be4f3 --- 22.02/_resize_layer_8hpp_source.xhtml | 129 ++++++++++++++++++++++++++++++++++ 1 file changed, 129 insertions(+) create mode 100644 22.02/_resize_layer_8hpp_source.xhtml (limited to '22.02/_resize_layer_8hpp_source.xhtml') diff --git a/22.02/_resize_layer_8hpp_source.xhtml b/22.02/_resize_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..d992a972e7 --- /dev/null +++ b/22.02/_resize_layer_8hpp_source.xhtml @@ -0,0 +1,129 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/ResizeLayer.hpp Source File + + + + + + + + + + + + + + + + +
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ResizeLayer.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 
7 #include "LayerWithParameters.hpp"
8 
9 namespace armnn
10 {
11 
12 /// This layer represents a resize operation.
13 class ResizeLayer : public LayerWithParameters<ResizeDescriptor>
14 {
15 public:
16  /// Makes a workload for the Resize 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  ResizeLayer* Clone(Graph& graph) const override;
25 
26  /// Check if the input tensor shape(s)
27  /// will lead to a valid configuration of @ref ResizeLayer.
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  ARMNN_NO_DEPRECATE_WARN_BEGIN
38  void Accept(ILayerVisitor& visitor) const override;
39  ARMNN_NO_DEPRECATE_WARN_END
40 
41 
42 protected:
43  /// Constructor to create a ResizeLayer.
44  /// @param [in] param ResizeDescriptor to configure the resize operation.
45  /// @param [in] name Optional name for the layer.
46  ResizeLayer(const ResizeDescriptor& param, const char* name);
47 
48  /// Default destructor
49  ~ResizeLayer() = default;
50 };
51 
52 } // namespace armnn
armnn::ResizeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ResizeLayer.
Definition: ResizeLayer.cpp:63
+
LayerWithParameters.hpp
+
ARMNN_NO_DEPRECATE_WARN_BEGIN
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
+ +
armnn::ResizeLayer::ResizeLayer
ResizeLayer(const ResizeDescriptor &param, const char *name)
Constructor to create a ResizeLayer.
Definition: ResizeLayer.cpp:21
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
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armnn::ResizeDescriptor
A ResizeBilinearDescriptor for the ResizeBilinearLayer.
Definition: Descriptors.hpp:961
+
ARMNN_NO_DEPRECATE_WARN_END
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
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armnn::ResizeLayer::Accept
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
Definition: ResizeLayer.cpp:79
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armnn::ResizeLayer::InferOutputShapes
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.
Definition: ResizeLayer.cpp:39
+ +
armnn::ResizeLayer::Clone
ResizeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ResizeLayer.cpp:34
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armnn::ResizeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Resize type.
Definition: ResizeLayer.cpp:26
+ +
armnn::ResizeLayer::~ResizeLayer
~ResizeLayer()=default
Default destructor.
+
armnn::ResizeLayer
This layer represents a resize operation.
Definition: ResizeLayer.hpp:13
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