From 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Wed, 22 Nov 2023 11:41:15 +0000 Subject: Update Doxygen for 23.11 Signed-off-by: Nikhil Raj Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849 --- 23.11/_neon_reverse_v2_workload_8cpp_source.html | 175 +++++++++++++++++++++++ 1 file changed, 175 insertions(+) create mode 100644 23.11/_neon_reverse_v2_workload_8cpp_source.html (limited to '23.11/_neon_reverse_v2_workload_8cpp_source.html') diff --git a/23.11/_neon_reverse_v2_workload_8cpp_source.html b/23.11/_neon_reverse_v2_workload_8cpp_source.html new file mode 100644 index 0000000000..efbef40a24 --- /dev/null +++ b/23.11/_neon_reverse_v2_workload_8cpp_source.html @@ -0,0 +1,175 @@ + + + + + + + + +Arm NN: src/backends/neon/workloads/NeonReverseV2Workload.cpp Source File + + + + + + + + + + + + + + + + +
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+  23.11 +
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NeonReverseV2Workload.cpp
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+Go to the documentation of this file.
1 //
+
2 // Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+
3 // SPDX-License-Identifier: MIT
+
4 //
+
5 
+
6 #include "NeonReverseV2Workload.hpp"
+
7 #include "NeonWorkloadUtils.hpp"
+
8 #include <armnn/utility/PolymorphicDowncast.hpp>
+
9 #include <aclCommon/ArmComputeUtils.hpp>
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10 #include <backendsCommon/WorkloadUtils.hpp>
+
11 
+
12 namespace armnn
+
13 {
+
14 arm_compute::Status NeonReverseV2WorkloadValidate(const TensorInfo& input,
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15  const TensorInfo& axis,
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16  const TensorInfo& output)
+
17 {
+
18  const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
+
19  const arm_compute::TensorInfo aclAxis = BuildArmComputeTensorInfo(axis);
+
20  const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
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21 
+
22  return arm_compute::NEReverse::validate(&aclInput, &aclOutput, &aclAxis, true);
+
23 }
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24 
+
25 NeonReverseV2Workload::NeonReverseV2Workload(const ReverseV2QueueDescriptor& descriptor,
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26  const WorkloadInfo& info)
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27  : BaseWorkload<ReverseV2QueueDescriptor>(descriptor, info)
+
28 {
+
29  m_Data.ValidateInputsOutputs("NeonReverseV2Workload", 2, 1);
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30 
+
31  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
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32  arm_compute::ITensor& axis = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
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33  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
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34 
+
35  m_Layer.configure(&input, &output, &axis, true);
+
36 }
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37 
+
38 void NeonReverseV2Workload::Execute() const
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39 {
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40  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonReverseV2Workload_Execute");
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41  m_Layer.run();
+
42 }
+
43 
+
44 } // namespace armnn
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+
+
armnn::NeonReverseV2WorkloadValidate
arm_compute::Status NeonReverseV2WorkloadValidate(const TensorInfo &input, const TensorInfo &axis, const TensorInfo &output)
Definition: NeonReverseV2Workload.cpp:14
+ + +
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:446
+ + +
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
+ + + +
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
+ +
armnn::Status
Status
Definition: Types.hpp:42
+ + +
armnn::NeonReverseV2Workload::NeonReverseV2Workload
NeonReverseV2Workload(const ReverseV2QueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonReverseV2Workload.cpp:25
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+ +
ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: NeonWorkloadUtils.hpp:32
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
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