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 --- .../_convert_fp16_to_fp32_layer_8cpp_source.xhtml | 146 +++++++++++++++++++++ 1 file changed, 146 insertions(+) create mode 100644 20.02/_convert_fp16_to_fp32_layer_8cpp_source.xhtml (limited to '20.02/_convert_fp16_to_fp32_layer_8cpp_source.xhtml') diff --git a/20.02/_convert_fp16_to_fp32_layer_8cpp_source.xhtml b/20.02/_convert_fp16_to_fp32_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..0a6c80bb4b --- /dev/null +++ b/20.02/_convert_fp16_to_fp32_layer_8cpp_source.xhtml @@ -0,0 +1,146 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/ConvertFp16ToFp32Layer.cpp Source File + + + + + + + + + + + + + + + + +
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ConvertFp16ToFp32Layer.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ConvertFp16ToFp32Layer.hpp"
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
10 
11 #include <backendsCommon/WorkloadData.hpp>
12 #include <backendsCommon/WorkloadFactory.hpp>
13 
14 namespace armnn
15 {
16 
17 ConvertFp16ToFp32Layer::ConvertFp16ToFp32Layer(const char* name)
18  : Layer(1, 1, LayerType::ConvertFp16ToFp32, name)
19 {
20 }
21 
22 std::unique_ptr<IWorkload> ConvertFp16ToFp32Layer::CreateWorkload(const IWorkloadFactory& factory) const
23 {
24  ConvertFp16ToFp32QueueDescriptor descriptor;
25  return factory.CreateConvertFp16ToFp32(descriptor, PrepInfoAndDesc(descriptor));
26 }
27 
28 ConvertFp16ToFp32Layer* ConvertFp16ToFp32Layer::Clone(Graph& graph) const
29 {
30  return CloneBase<ConvertFp16ToFp32Layer>(graph, GetName());
31 }
32 
33 void ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()
34 {
35  VerifyLayerConnections(1, CHECK_LOCATION());
36 
37  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
38 
39  BOOST_ASSERT(inferredShapes.size() == 1);
40 
41  ConditionalThrowIfNotEqual<LayerValidationException>(
42  "ConvertFp16ToFp32Layer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
43  GetOutputSlot(0).GetTensorInfo().GetShape(),
44  inferredShapes[0]);
45 }
46 
47 void ConvertFp16ToFp32Layer::Accept(ILayerVisitor& visitor) const
48 {
49  // these conversion layers are only inserted by the
50  // optimizer and so will never be in an input graph.
51  IgnoreUnused(visitor);
52  throw armnn::Exception("ConvertFp16ToFp32Layer should never appear in an input graph");
53 }
54 
55 } // namespace armnn
WorkloadData.hpp
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88
+
armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition: Layer.cpp:371
+
WorkloadFactory.hpp
+ +
armnn::ConvertFp16ToFp32Layer
This layer converts data type Float 16 to Float 32.
Definition: ConvertFp16ToFp32Layer.hpp:14
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
+
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
+
armnn::ConvertFp16ToFp32Layer::ConvertFp16ToFp32Layer
ConvertFp16ToFp32Layer(const char *name)
Constructor to create a ConvertFp16ToFp32Layer.
Definition: ConvertFp16ToFp32Layer.cpp:17
+
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338
+
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310
+
TypesUtils.hpp
+ +
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:351
+
armnn::ConvertFp16ToFp32Layer::Clone
ConvertFp16ToFp32Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ConvertFp16ToFp32Layer.cpp:28
+ +
armnn::ConvertFp16ToFp32Layer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: ConvertFp16ToFp32Layer.cpp:47
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+ +
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:33
+
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
+ +
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:312
+
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
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armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:305
+
ConvertFp16ToFp32Layer.hpp
+
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
+
armnn::IWorkloadFactory::CreateConvertFp16ToFp32
virtual std::unique_ptr< IWorkload > CreateConvertFp16ToFp32(const ConvertFp16ToFp32QueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1147
+ +
LayerCloneBase.hpp
+ +
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