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 --- 20.02/_neon_concat_workload_8cpp_source.xhtml | 137 ++++++++++++++++++++++++++ 1 file changed, 137 insertions(+) create mode 100644 20.02/_neon_concat_workload_8cpp_source.xhtml (limited to '20.02/_neon_concat_workload_8cpp_source.xhtml') diff --git a/20.02/_neon_concat_workload_8cpp_source.xhtml b/20.02/_neon_concat_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..ce4beb9138 --- /dev/null +++ b/20.02/_neon_concat_workload_8cpp_source.xhtml @@ -0,0 +1,137 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonConcatWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonConcatWorkload.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 "NeonConcatWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 
10 #include <aclCommon/ArmComputeTensorUtils.hpp>
11 #include <backendsCommon/CpuTensorHandle.hpp>
12 #include <neon/NeonTensorHandle.hpp>
13 
14 
15 
16 namespace armnn
17 {
18 using namespace armcomputetensorutils;
19 
20 namespace
21 {
22 size_t CalcAxis(const armnn::OriginsDescriptor& desc)
23 {
24  return (desc.GetNumDimensions() - desc.GetConcatAxis()) - 1;
25 }
26 } //namespace
27 
28 arm_compute::Status NeonConcatWorkloadValidate(const std::vector<const TensorInfo*>& inputs,
29  const TensorInfo& output,
30  const OriginsDescriptor& descriptor)
31 
32 {
33  std::vector<arm_compute::TensorInfo> aclInputs;
34  for (const TensorInfo* input : inputs)
35  {
36  arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(*input, armnn::DataLayout::NCHW);
37  aclInputs.emplace_back(aclInputInfo);
38  }
39  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
40  std::vector<arm_compute::ITensorInfo*> aclInputPtrs;
41  for (arm_compute::ITensorInfo& input : aclInputs)
42  {
43  aclInputPtrs.emplace_back(&input);
44  }
45 
46  size_t aclAxis = CalcAxis(descriptor);
47  return arm_compute::NEConcatenateLayer::validate(aclInputPtrs, &aclOutputInfo, aclAxis);
48 }
49 
50 NeonConcatWorkload::NeonConcatWorkload(
51 const ConcatQueueDescriptor& descriptor, const WorkloadInfo& info)
52  : BaseWorkload<ConcatQueueDescriptor>(descriptor, info)
53 {
54  bool allInputsAreSubtensors = true;
55 
56  // Check that all inputs are sub-tensors
57  for (auto input : descriptor.m_Inputs)
58  {
59  if (!input->GetParent())
60  {
61  // Non sub-tensor input found so we need to execute the concat function
62  allInputsAreSubtensors = false;
63  break;
64  }
65  }
66 
67  if (allInputsAreSubtensors)
68  {
69  // Can skip configuring the concat function since it's not executed
70  return;
71  }
72 
73  std::vector<arm_compute::ITensor *> aclInputs;
74  for (auto input : m_Data.m_Inputs)
75  {
76  arm_compute::ITensor& aclInput = boost::polymorphic_pointer_downcast<IAclTensorHandle>(input)->GetTensor();
77  aclInputs.emplace_back(&aclInput);
78  }
79  arm_compute::ITensor& output = boost::polymorphic_pointer_downcast<IAclTensorHandle>(
80  m_Data.m_Outputs[0])->GetTensor();
81 
82  // Create the layer function
83  m_Layer.reset(new arm_compute::NEConcatenateLayer());
84 
85  // Configure input and output tensors
86  size_t aclAxis = CalcAxis(descriptor.m_Parameters);
87  m_Layer->configure(aclInputs, &output, aclAxis);
88 
89  // Prepare
90  m_Layer->prepare();
91 }
92 
93 void NeonConcatWorkload::Execute() const
94 {
95  if (m_Layer)
96  {
97  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConcatWorkload_Execute");
98  m_Layer->run();
99  }
100 }
101 
102 } //namespace armnn
103 
+
NeonConcatWorkload.hpp
+
armnn::BaseWorkload< ConcatQueueDescriptor >::m_Data
const ConcatQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
armnn::NeonConcatWorkload::NeonConcatWorkload
NeonConcatWorkload(const ConcatQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonConcatWorkload.cpp:50
+
NeonTensorHandle.hpp
+
ArmComputeTensorUtils.hpp
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+ + + +
armnn::OriginsDescriptor
An OriginsDescriptor for the ConcatLayer.
Definition: Descriptors.hpp:147
+
armnn::NeonConcatWorkload::Execute
void Execute() const override
Definition: NeonConcatWorkload.cpp:93
+
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
armnn::NeonConcatWorkloadValidate
arm_compute::Status NeonConcatWorkloadValidate(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const OriginsDescriptor &descriptor)
Definition: NeonConcatWorkload.cpp:28
+
NeonWorkloadUtils.hpp
+
CpuTensorHandle.hpp
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+ +
armnn::OriginsDescriptor::GetNumDimensions
uint32_t GetNumDimensions() const
Get the number of dimensions.
Definition: Descriptors.cpp:184
+
armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition: WorkloadInfo.hpp:16
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
+ +
armnn::OriginsDescriptor::GetConcatAxis
unsigned int GetConcatAxis() const
Get the concatenation axis value.
Definition: Descriptors.cpp:154
+
+
+ + + + -- cgit v1.2.1