From 0e2bab81442ee6cc2b94e4f7881ed0c5c6af65e7 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Thu, 19 Mar 2020 17:03:14 +0000 Subject: Creating gh-pages documentation for ArmNN Signed-off-by: Jim Flynn --- .../_neon_subtraction_workload_8cpp_source.xhtml | 131 +++++++++++++++++++++ 1 file changed, 131 insertions(+) create mode 100644 Documentation/_neon_subtraction_workload_8cpp_source.xhtml (limited to 'Documentation/_neon_subtraction_workload_8cpp_source.xhtml') diff --git a/Documentation/_neon_subtraction_workload_8cpp_source.xhtml b/Documentation/_neon_subtraction_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..3a804b7450 --- /dev/null +++ b/Documentation/_neon_subtraction_workload_8cpp_source.xhtml @@ -0,0 +1,131 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonSubtractionWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonSubtractionWorkload.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 "NeonSubtractionWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 #include <aclCommon/ArmComputeTensorUtils.hpp>
10 #include <backendsCommon/CpuTensorHandle.hpp>
11 
12 #include <arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h>
13 
14 namespace armnn
15 {
16 
17 arm_compute::Status NeonSubtractionWorkloadValidate(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::NEArithmeticSubtraction::validate(&aclInput0,
26  &aclInput1,
27  &aclOutput,
28  arm_compute::ConvertPolicy::SATURATE);
29 }
30 
31 NeonSubtractionWorkload::NeonSubtractionWorkload(const SubtractionQueueDescriptor& descriptor,
32  const WorkloadInfo& info)
33  : BaseWorkload<SubtractionQueueDescriptor>(descriptor, info)
34 {
35  m_Data.ValidateInputsOutputs("NeonSubtractionWorkload", 2, 1);
36 
37  arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
38  arm_compute::ITensor& input2 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
39  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
40 
41  auto layer = std::make_unique<arm_compute::NEArithmeticSubtraction>();
42  layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
43  m_SubLayer.reset(layer.release());
44 }
45 
46 void NeonSubtractionWorkload::Execute() const
47 {
48  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSubtractionWorkload_Execute");
49  m_SubLayer->run();
50 }
51 
52 } //namespace armnn
+
armnn::BaseWorkload< SubtractionQueueDescriptor >::m_Data
const SubtractionQueueDescriptor m_Data
Definition: Workload.hpp:46
+
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
+
NeonSubtractionWorkload.hpp
+ + +
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
armnn::NeonSubtractionWorkload::Execute
virtual void Execute() const override
Definition: NeonSubtractionWorkload.cpp:46
+
NeonWorkloadUtils.hpp
+
CpuTensorHandle.hpp
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+
armnn::NeonSubtractionWorkload::NeonSubtractionWorkload
NeonSubtractionWorkload(const SubtractionQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonSubtractionWorkload.cpp:31
+
armnn::NeonSubtractionWorkloadValidate
arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
Definition: NeonSubtractionWorkload.cpp:17
+
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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