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_addition_workload_8cpp_source.xhtml | 131 ++++++++++++++++++++++++ 1 file changed, 131 insertions(+) create mode 100644 20.02/_neon_addition_workload_8cpp_source.xhtml (limited to '20.02/_neon_addition_workload_8cpp_source.xhtml') diff --git a/20.02/_neon_addition_workload_8cpp_source.xhtml b/20.02/_neon_addition_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..12b2240b73 --- /dev/null +++ b/20.02/_neon_addition_workload_8cpp_source.xhtml @@ -0,0 +1,131 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonAdditionWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonAdditionWorkload.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 "NeonAdditionWorkload.hpp"
7 #include "NeonWorkloadUtils.hpp"
8 
9 #include <aclCommon/ArmComputeTensorUtils.hpp>
10 #include <backendsCommon/CpuTensorHandle.hpp>
11 
12 #include <arm_compute/runtime/NEON/functions/NEArithmeticAddition.h>
13 
14 namespace armnn
15 {
16 
17 arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo& input0,
18  const TensorInfo& input1,
19  const TensorInfo& output)
20 {
21  const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
22  const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
23  const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
24 
25  return arm_compute::NEArithmeticAddition::validate(&aclInput0,
26  &aclInput1,
27  &aclOutput,
28  arm_compute::ConvertPolicy::SATURATE);
29 }
30 
31 
32 NeonAdditionWorkload::NeonAdditionWorkload(const AdditionQueueDescriptor& descriptor,
33  const WorkloadInfo& info)
34  : BaseWorkload<AdditionQueueDescriptor>(descriptor, info)
35 {
36  m_Data.ValidateInputsOutputs("NeonAdditionWorkload", 2, 1);
37 
38  arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
39  arm_compute::ITensor& input2 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
40  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
41 
42  auto layer = std::make_unique<arm_compute::NEArithmeticAddition>();
43  layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
44  m_AddLayer.reset(layer.release());
45 }
46 
47 void NeonAdditionWorkload::Execute() const
48 {
49  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonAdditionWorkload_Execute");
50  m_AddLayer->run();
51 }
52 
53 } //namespace armnn
54 
+
armnn::BaseWorkload< AdditionQueueDescriptor >::m_Data
const AdditionQueueDescriptor m_Data
Definition: Workload.hpp:46
+
armnn::NeonAdditionWorkload::NeonAdditionWorkload
NeonAdditionWorkload(const AdditionQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonAdditionWorkload.cpp:32
+
armnn::NeonAdditionWorkload::Execute
virtual void Execute() const override
Definition: NeonAdditionWorkload.cpp:47
+
armnn::NeonAdditionWorkloadValidate
arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
Definition: NeonAdditionWorkload.cpp:17
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
ArmComputeTensorUtils.hpp
+ +
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
+
armnn
Copyright (c) 2020 ARM Limited.
Definition: 00_introduction.dox:25
+ +
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
NeonWorkloadUtils.hpp
+
CpuTensorHandle.hpp
+
NeonAdditionWorkload.hpp
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+
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
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