From 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Wed, 22 Nov 2023 11:41:15 +0000 Subject: Update Doxygen for 23.11 Signed-off-by: Nikhil Raj Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849 --- 23.11/_convert_fp16_to_fp32_layer_8hpp_source.html | 166 +++++++++++++++++++++ 1 file changed, 166 insertions(+) create mode 100644 23.11/_convert_fp16_to_fp32_layer_8hpp_source.html (limited to '23.11/_convert_fp16_to_fp32_layer_8hpp_source.html') diff --git a/23.11/_convert_fp16_to_fp32_layer_8hpp_source.html b/23.11/_convert_fp16_to_fp32_layer_8hpp_source.html new file mode 100644 index 0000000000..f6c60afa48 --- /dev/null +++ b/23.11/_convert_fp16_to_fp32_layer_8hpp_source.html @@ -0,0 +1,166 @@ + + + + + + + + +Arm NN: src/armnn/layers/ConvertFp16ToFp32Layer.hpp Source File + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  23.11 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+
+
ConvertFp16ToFp32Layer.hpp
+
+
+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 
+
6 #pragma once
+
7 
+
8 #include <Layer.hpp>
+
9 
+
10 namespace armnn
+
11 {
+
12 
+
13 /// This layer converts data type Float 16 to Float 32.
+
14 class ConvertFp16ToFp32Layer : public Layer
+
15 {
+
16 public:
+
17  /// Makes a workload for the ConvertFp16ToFp32 type.
+
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  ConvertFp16ToFp32Layer* Clone(Graph& graph) const override;
+
25 
+
26  /// Check if the input tensor shape(s)
+
27  /// will lead to a valid configuration of @ref ConvertFp16ToFp32Layer.
+
28  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
+
29  void ValidateTensorShapesFromInputs() override;
+
30 
+
31  void ExecuteStrategy(IStrategy& strategy) const override;
+
32 
+
33 protected:
+
34  /// Constructor to create a ConvertFp16ToFp32Layer.
+
35  /// @param [in] name Optional name for the layer.
+
36  ConvertFp16ToFp32Layer(const char* name);
+
37 
+
38  /// Default destructor
+
39  ~ConvertFp16ToFp32Layer() = default;
+
40 };
+
41 
+
42 } // namespace
+
+
+
armnn::ConvertFp16ToFp32Layer::Clone
ConvertFp16ToFp32Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ConvertFp16ToFp32Layer.cpp:30
+ + +
armnn::ConvertFp16ToFp32Layer
This layer converts data type Float 16 to Float 32.
Definition: ConvertFp16ToFp32Layer.hpp:14
+ +
armnn::ConvertFp16ToFp32Layer::~ConvertFp16ToFp32Layer
~ConvertFp16ToFp32Layer()=default
Default destructor.
+
armnn::ConvertFp16ToFp32Layer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ConvertFp16ToFp32Layer.cpp:50
+
armnn::ConvertFp16ToFp32Layer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ConvertFp16ToFp32 type.
Definition: ConvertFp16ToFp32Layer.cpp:22
+
armnn::ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ConvertFp16ToFp32Layer.
Definition: ConvertFp16ToFp32Layer.cpp:35
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+ + +
armnn::ConvertFp16ToFp32Layer::ConvertFp16ToFp32Layer
ConvertFp16ToFp32Layer(const char *name)
Constructor to create a ConvertFp16ToFp32Layer.
Definition: ConvertFp16ToFp32Layer.cpp:17
+ + + + -- cgit v1.2.1