ArmNN
 24.02
NeonPooling3dWorkload.cpp
Go to the documentation of this file.
1 //
2 // Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
6 #include "NeonWorkloadUtils.hpp"
11 
12 namespace armnn
13 {
14  using namespace armcomputetensorutils;
16  const TensorInfo& output,
17  const Pooling3dDescriptor& descriptor)
18  {
19  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
20  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
21  arm_compute::Pooling3dLayerInfo layerInfo = BuildArmComputePooling3dLayerInfo(descriptor);
22  return arm_compute::NEPooling3dLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
23  }
24 
26  const WorkloadInfo& info)
28  {
29  // Report Profiling Details
30  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonPooling3dWorkload_Construct",
31  descriptor.m_Parameters,
32  info,
33  this->GetGuid());
34 
35  m_Data.ValidateInputsOutputs("NeonPooling3dWorkload", 1, 1);
36 
37  arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
38  arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
39 
40  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
41  input.info()->set_data_layout(aclDataLayout);
42  output.info()->set_data_layout(aclDataLayout);
43 
44  // flag to use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy
45  // enable fp_mixed_precision for the the FP16 cases that
46  // accumulation reaches a limit beyond which there is no more increment of the value
47  bool fpMixedPrecision = false;
48 
49  arm_compute::Pooling3dLayerInfo layerInfo = BuildArmComputePooling3dLayerInfo(m_Data.m_Parameters,
50  fpMixedPrecision);
51  {
52  ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "NeonPooling3dWorkload_configure");
53 
54  auto layer = std::make_unique<arm_compute::NEPooling3dLayer>();
55  layer->configure(&input, &output, layerInfo);
56  m_PoolingLayer.reset(layer.release());
57  }
58  }
60  {
61  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonPooling3dWorkload_Execute");
62  m_PoolingLayer->run();
63  }
64 }
armnn::Compute::Undefined
@ Undefined
armnn::DataLayout
DataLayout
Definition: Types.hpp:62
armnn::NeonPooling3dWorkloadValidate
arm_compute::Status NeonPooling3dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Pooling3dDescriptor &descriptor)
Definition: NeonPooling3dWorkload.cpp:15
armnn::Pooling3dDescriptor
A Pooling3dDescriptor for the Pooling3dLayer.
Definition: Descriptors.hpp:431
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:446
armnn::TensorInfo
Definition: Tensor.hpp:152
NeonTensorHandle.hpp
armnn::Pooling3dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCDHW, NDHWC).
Definition: Descriptors.hpp:503
armnn::NeonPooling3dWorkload::Execute
void Execute() const override
Definition: NeonPooling3dWorkload.cpp:59
armnn::IAclTensorHandle
Definition: ArmComputeTensorHandle.hpp:16
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
NeonPooling3dWorkload.hpp
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
armnn::Pooling3dQueueDescriptor
Definition: WorkloadData.hpp:203
ArmComputeUtils.hpp
armnn::BoostLogSeverityMapping::info
@ info
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
armnn::NeonPooling3dWorkload::NeonPooling3dWorkload
NeonPooling3dWorkload(const Pooling3dQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonPooling3dWorkload.cpp:25
armnn::Status
Status
Definition: Types.hpp:42
armnn::BaseWorkload< Pooling3dQueueDescriptor >::m_Data
Pooling3dQueueDescriptor m_Data
Definition: Workload.hpp:89
NeonWorkloadUtils.hpp
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
ArmComputeTensorUtils.hpp
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::NeonBaseWorkload
Definition: NeonBaseWorkload.hpp:13
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
NeonLayerSupport.hpp