1 //
2 // Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "NeonBatchToSpaceNdWorkload.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
NeonBatchToSpaceNdWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const BatchToSpaceNdDescriptor & descriptor)20 arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo& input,
21 const TensorInfo& output,
22 const BatchToSpaceNdDescriptor& 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 const arm_compute::Status aclStatus = arm_compute::NEBatchToSpaceLayer::validate(&aclInputInfo,
32 blockWidth,
33 blockHeight,
34 &aclOutputInfo);
35 return aclStatus;
36 }
37
NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor & descriptor,const WorkloadInfo & info)38 NeonBatchToSpaceNdWorkload::NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& descriptor,
39 const WorkloadInfo& info)
40 : NeonBaseWorkload<BatchToSpaceNdQueueDescriptor>(descriptor, info)
41 {
42 // Report Profiling Details
43 ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonBatchToSpaceWorkload_Construct",
44 descriptor.m_Parameters,
45 info,
46 this->GetGuid());
47
48 m_Data.ValidateInputsOutputs("NeonBatchToSpaceNdWorkload", 1, 1);
49
50 arm_compute::ITensor& input =
51 armnn::PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
52 arm_compute::ITensor& output =
53 armnn::PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
54
55 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
56 input.info()->set_data_layout(aclDataLayout);
57 output.info()->set_data_layout(aclDataLayout);
58
59 // ArmNN blockShape is [H, W] Cl asks for W, H
60 int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[0]);
61 int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[1]);
62
63 m_Layer.reset(new arm_compute::NEBatchToSpaceLayer());
64 m_Layer->configure(&input, blockWidth, blockHeight, &output);
65 m_Layer->prepare();
66 }
67
Execute() const68 void NeonBatchToSpaceNdWorkload::Execute() const
69 {
70 if (m_Layer)
71 {
72 ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonSpaceToBatchNdWorkload_Execute", this->GetGuid());
73 m_Layer->run();
74 }
75 }
76
77 } //namespace armnn
78