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
NeonPooling2dWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const Pooling2dDescriptor & descriptor)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
NeonPooling2dWorkload(const Pooling2dQueueDescriptor & descriptor,const WorkloadInfo & info)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
Execute() const56 void NeonPooling2dWorkload::Execute() const
57 {
58 ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonPooling2dWorkload_Execute");
59 m_PoolingLayer->run();
60 }
61
62 } //namespace armnn
63