From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_neon_pooling2d_workload_8cpp_source.xhtml | 138 +++++++++++++++++++++++ 1 file changed, 138 insertions(+) create mode 100644 21.02/_neon_pooling2d_workload_8cpp_source.xhtml (limited to '21.02/_neon_pooling2d_workload_8cpp_source.xhtml') diff --git a/21.02/_neon_pooling2d_workload_8cpp_source.xhtml b/21.02/_neon_pooling2d_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..472d342260 --- /dev/null +++ b/21.02/_neon_pooling2d_workload_8cpp_source.xhtml @@ -0,0 +1,138 @@ + + + + + + + + + + + + + +ArmNN: src/backends/neon/workloads/NeonPooling2dWorkload.cpp Source File + + + + + + + + + + + + + + + + +
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NeonPooling2dWorkload.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonPooling2dWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 
10 #include <armnn/utility/PolymorphicDowncast.hpp>
11 
12 #include <neon/NeonTensorHandle.hpp>
13 #include <aclCommon/ArmComputeUtils.hpp>
14 #include <aclCommon/ArmComputeTensorUtils.hpp>
15 
16 #include <arm_compute/runtime/NEON/functions/NEPoolingLayer.h>
17 
18 namespace armnn
19 {
20 using namespace armcomputetensorutils;
21 
22 arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo& input,
23  const TensorInfo& output,
24  const Pooling2dDescriptor& descriptor)
25 {
26  const arm_compute::TensorInfo aclInputInfo =
27  BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
28  const arm_compute::TensorInfo aclOutputInfo =
29  BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
30 
31  arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(descriptor);
32 
33  return arm_compute::NEPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
34 }
35 
36 NeonPooling2dWorkload::NeonPooling2dWorkload(
37  const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info)
38  : BaseWorkload<Pooling2dQueueDescriptor>(descriptor, info)
39 {
40  m_Data.ValidateInputsOutputs("NeonPooling2dWorkload", 1, 1);
41 
42  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
43  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
44 
45  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
46  input.info()->set_data_layout(aclDataLayout);
47  output.info()->set_data_layout(aclDataLayout);
48 
49  arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(m_Data.m_Parameters);
50 
51  auto layer = std::make_unique<arm_compute::NEPoolingLayer>();
52  layer->configure(&input, &output, layerInfo);
53  m_PoolingLayer.reset(layer.release());
54 }
55 
56 void NeonPooling2dWorkload::Execute() const
57 {
58  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonPooling2dWorkload_Execute");
59  m_PoolingLayer->run();
60 }
61 
62 } //namespace armnn
armnn::NeonPooling2dWorkload::NeonPooling2dWorkload
NeonPooling2dWorkload(const Pooling2dQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonPooling2dWorkload.cpp:36
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:50
+
ArmComputeUtils.hpp
+ +
NeonPooling2dWorkload.hpp
+
armnn::BaseWorkload< Pooling2dQueueDescriptor >::m_Data
const Pooling2dQueueDescriptor m_Data
Definition: Workload.hpp:46
+
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
+
NeonTensorHandle.hpp
+
ArmComputeTensorUtils.hpp
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:460
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6
+ +
PolymorphicDowncast.hpp
+ +
armnn::Status
Status
enumeration
Definition: Types.hpp:26
+
NeonWorkloadUtils.hpp
+
armnn::Pooling2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:385
+
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
+ + +
armnn::Pooling2dDescriptor
A Pooling2dDescriptor for the Pooling2dLayer.
Definition: Descriptors.hpp:329
+
armnn::NeonPooling2dWorkloadValidate
arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor)
Definition: NeonPooling2dWorkload.cpp:22
+
+
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