1 //
2 // Copyright © 2020 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "NeonSpaceToBatchNdWorkload.hpp"
7
8 #include "NeonWorkloadUtils.hpp"
9
10 #include <armnn/utility/NumericCast.hpp>
11 #include <armnn/utility/PolymorphicDowncast.hpp>
12
13 #include <ResolveType.hpp>
14
15 namespace armnn
16 {
17
18 using namespace armcomputetensorutils;
19
NeonSpaceToBatchNdWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const SpaceToBatchNdDescriptor & descriptor)20 arm_compute::Status NeonSpaceToBatchNdWorkloadValidate(const TensorInfo& input,
21 const TensorInfo& output,
22 const SpaceToBatchNdDescriptor& descriptor)
23 {
24 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
25 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
26
27 // ArmNN blockShape is [H, W] Cl asks for W, H
28 int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[0]);
29 int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[1]);
30
31 arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
32 descriptor.m_PadList[1].first, descriptor.m_PadList[0].first);
33 arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
34 descriptor.m_PadList[1].second, descriptor.m_PadList[0].second);
35
36 return arm_compute::NESpaceToBatchLayer::validate(&aclInputInfo,
37 blockWidth,
38 blockHeight,
39 paddingLeftTop,
40 paddingRightBottom,
41 &aclOutputInfo);
42 }
43
NeonSpaceToBatchNdWorkload(const SpaceToBatchNdQueueDescriptor & desc,const WorkloadInfo & info)44 NeonSpaceToBatchNdWorkload::NeonSpaceToBatchNdWorkload(const SpaceToBatchNdQueueDescriptor& desc,
45 const WorkloadInfo& info)
46 : BaseWorkload<SpaceToBatchNdQueueDescriptor>(desc, info)
47 {
48 m_Data.ValidateInputsOutputs("NESpaceToBatchNdWorkload", 1, 1);
49
50 arm_compute::ITensor& input =
51 PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
52 arm_compute::ITensor& output =
53 PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
54
55 // ArmNN blockShape is [H, W] Cl asks for W, H
56 int32_t blockHeight = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
57 int32_t blockWidth = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
58
59 arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
60 m_Data.m_Parameters.m_PadList[1].first, m_Data.m_Parameters.m_PadList[0].first);
61 arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
62 m_Data.m_Parameters.m_PadList[1].second, m_Data.m_Parameters.m_PadList[0].second);
63
64 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
65 input.info()->set_data_layout(aclDataLayout);
66 output.info()->set_data_layout(aclDataLayout);
67
68 m_Layer.reset(new arm_compute::NESpaceToBatchLayer());
69 m_Layer->configure(&input,
70 blockWidth,
71 blockHeight,
72 paddingLeftTop,
73 paddingRightBottom,
74 &output);
75 m_Layer->prepare();
76 }
77
Execute() const78 void NeonSpaceToBatchNdWorkload::Execute() const
79 {
80 if (m_Layer)
81 {
82 ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute");
83 m_Layer->run();
84 }
85 }
86
87 } //namespace armnn