From ae050524109f1ce827962665436ef7430f2ac479 Mon Sep 17 00:00:00 2001 From: David Monahan Date: Wed, 22 Mar 2023 16:48:58 +0000 Subject: IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub. * Updating Doxygen documentation for 23.02 release. Signed-off-by: David Monahan Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82 --- latest/_neon_minimum_workload_8cpp_source.xhtml | 183 ++++++++++++++++++++++++ 1 file changed, 183 insertions(+) create mode 100644 latest/_neon_minimum_workload_8cpp_source.xhtml (limited to 'latest/_neon_minimum_workload_8cpp_source.xhtml') diff --git a/latest/_neon_minimum_workload_8cpp_source.xhtml b/latest/_neon_minimum_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..33e6dca5b8 --- /dev/null +++ b/latest/_neon_minimum_workload_8cpp_source.xhtml @@ -0,0 +1,183 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonMinimumWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonMinimumWorkload.cpp
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+Go to the documentation of this file.
1 //
+
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
+
3 // SPDX-License-Identifier: MIT
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4 //
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5 
+
6 #include "NeonMinimumWorkload.hpp"
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7 
+
8 #include <aclCommon/ArmComputeTensorUtils.hpp>
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9 #include <armnn/utility/PolymorphicDowncast.hpp>
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10 #include <armnn/backends/TensorHandle.hpp>
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11 
+
12 namespace armnn
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13 {
+
14 
+
15 arm_compute::Status NeonMinimumWorkloadValidate(const TensorInfo& input0,
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16  const TensorInfo& input1,
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17  const TensorInfo& output)
+
18 {
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19  const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
+
20  const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
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21  const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
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22 
+
23  return arm_compute::NEElementwiseMin::validate(&aclInput0,
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24  &aclInput1,
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25  &aclOutput);
+
26 }
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27 
+
28 NeonMinimumWorkload::NeonMinimumWorkload(const MinimumQueueDescriptor& descriptor,
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29  const WorkloadInfo& info)
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30  : NeonBaseWorkload<MinimumQueueDescriptor>(descriptor, info)
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31 {
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32  m_Data.ValidateInputsOutputs("NeonMinimumWorkload", 2, 1);
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33 
+
34  arm_compute::ITensor& input0 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
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35  arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
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36  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
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37 
+
38  m_MinLayer.configure(&input0, &input1, &output);
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39 }
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40 
+
41 void NeonMinimumWorkload::Execute() const
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42 {
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43  ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonMinimumWorkload_Execute", this->GetGuid());
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44  m_MinLayer.run();
+
45 }
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46 
+
47 } //namespace armnn
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+
+ +
armnn::BaseWorkload< MinimumQueueDescriptor >::GetGuid
arm::pipe::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:61
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:475
+ + + + +
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)
Definition: NeonWorkloadUtils.hpp:24
+ + +
armnn::NeonMinimumWorkloadValidate
arm_compute::Status NeonMinimumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
Validate function for validating the inputs and output.
Definition: NeonMinimumWorkload.cpp:15
+
armnn::Status
Status
Definition: Types.hpp:42
+
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
+
armnn::NeonMinimumWorkload::Execute
virtual void Execute() const override
Execute the Minimum operation.
Definition: NeonMinimumWorkload.cpp:41
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
+ +
armnn::NeonMinimumWorkload::NeonMinimumWorkload
NeonMinimumWorkload(const MinimumQueueDescriptor &descriptor, const WorkloadInfo &info)
Create a NeonMinimumWorkload.
Definition: NeonMinimumWorkload.cpp:28
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
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