ArmNN
 21.02
NeonPooling2dWorkload.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "NeonWorkloadUtils.hpp"
9 
11 
15 
16 #include <arm_compute/runtime/NEON/functions/NEPoolingLayer.h>
17 
18 namespace armnn
19 {
20 using namespace armcomputetensorutils;
21 
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 
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 
57 {
58  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonPooling2dWorkload_Execute");
59  m_PoolingLayer->run();
60 }
61 
62 } //namespace armnn
NeonPooling2dWorkload(const Pooling2dQueueDescriptor &descriptor, const WorkloadInfo &info)
DataLayout
Definition: Types.hpp:50
const Pooling2dQueueDescriptor m_Data
Definition: Workload.hpp:46
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2021 ARM Limited and Contributors.
Status
enumeration
Definition: Types.hpp:26
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
A Pooling2dDescriptor for the Pooling2dLayer.
arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor)