From cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Wed, 23 Nov 2022 11:05:29 +0000 Subject: IVGCVSW-7075 Update Doxygen for 22.11 Release Signed-off-by: Nikhil Raj Change-Id: Ib5669e8fd3739d1b10f5dd694d020d51799896dc --- .../_convert_fp32_to_fp16_layer_8hpp_source.xhtml | 126 +++++++++++++++++++++ 1 file changed, 126 insertions(+) create mode 100644 22.11/_convert_fp32_to_fp16_layer_8hpp_source.xhtml (limited to '22.11/_convert_fp32_to_fp16_layer_8hpp_source.xhtml') diff --git a/22.11/_convert_fp32_to_fp16_layer_8hpp_source.xhtml b/22.11/_convert_fp32_to_fp16_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..edbec01041 --- /dev/null +++ b/22.11/_convert_fp32_to_fp16_layer_8hpp_source.xhtml @@ -0,0 +1,126 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/ConvertFp32ToFp16Layer.hpp Source File + + + + + + + + + + + + + + + + +
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ConvertFp32ToFp16Layer.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 <Layer.hpp>
8 
9 namespace armnn
10 {
11 
12 /// This layer converts data type Float 32 to Float 16.
13 class ConvertFp32ToFp16Layer : public Layer
14 {
15 public:
16  /// Makes a workload for the ConvertFp32ToFp16 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  ConvertFp32ToFp16Layer* Clone(Graph& graph) const override;
24 
25  /// Check if the input tensor shape(s)
26  /// will lead to a valid configuration of @ref ConvertFp32ToFp16Layer.
27  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
28  void ValidateTensorShapesFromInputs() override;
29 
30  void ExecuteStrategy(IStrategy& strategy) const override;
31 
32 protected:
33  /// Constructor to create a ConvertFp32ToFp16Layer.
34  /// @param [in] name Optional name for the layer.
35  ConvertFp32ToFp16Layer(const char* name);
36 
37  /// Default destructor
38  ~ConvertFp32ToFp16Layer() = default;
39 };
40 
41 } // namespace
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armnn::ConvertFp32ToFp16Layer::Clone
ConvertFp32ToFp16Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ConvertFp32ToFp16Layer.cpp:29
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armnn::ConvertFp32ToFp16Layer::ConvertFp32ToFp16Layer
ConvertFp32ToFp16Layer(const char *name)
Constructor to create a ConvertFp32ToFp16Layer.
Definition: ConvertFp32ToFp16Layer.cpp:16
+
armnn::ConvertFp32ToFp16Layer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ConvertFp32ToFp16 type.
Definition: ConvertFp32ToFp16Layer.cpp:21
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+ + +
armnn::ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ConvertFp32ToFp16Layer.
Definition: ConvertFp32ToFp16Layer.cpp:34
+
armnn::ConvertFp32ToFp16Layer
This layer converts data type Float 32 to Float 16.
Definition: ConvertFp32ToFp16Layer.hpp:13
+
armnn::ConvertFp32ToFp16Layer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ConvertFp32ToFp16Layer.cpp:50
+
Layer.hpp
+
armnn::ConvertFp32ToFp16Layer::~ConvertFp32ToFp16Layer
~ConvertFp32ToFp16Layer()=default
Default destructor.
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