1 //
2 // Copyright © 2020 Arm Ltd. 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 & desc)20 arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo& input,
21 const TensorInfo& output,
22 const BatchToSpaceNdDescriptor& desc)
23 {
24 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, desc.m_DataLayout);
25 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, desc.m_DataLayout);
26
27 // ArmNN blockShape is [H, W] Cl asks for W, H
28 int32_t blockHeight = armnn::numeric_cast<int32_t>(desc.m_BlockShape[0]);
29 int32_t blockWidth = armnn::numeric_cast<int32_t>(desc.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 & desc,const WorkloadInfo & info)38 NeonBatchToSpaceNdWorkload::NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& desc,
39 const WorkloadInfo& info)
40 : BaseWorkload<BatchToSpaceNdQueueDescriptor>(desc, info)
41 {
42 m_Data.ValidateInputsOutputs("NeonBatchToSpaceNdWorkload", 1, 1);
43
44 arm_compute::ITensor& input =
45 armnn::PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
46 arm_compute::ITensor& output =
47 armnn::PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
48
49 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
50 input.info()->set_data_layout(aclDataLayout);
51 output.info()->set_data_layout(aclDataLayout);
52
53 // ArmNN blockShape is [H, W] Cl asks for W, H
54 int32_t blockHeight = armnn::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]);
55 int32_t blockWidth = armnn::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]);
56
57 m_Layer.reset(new arm_compute::NEBatchToSpaceLayer());
58 m_Layer->configure(&input, blockWidth, blockHeight, &output);
59 m_Layer->prepare();
60 }
61
Execute() const62 void NeonBatchToSpaceNdWorkload::Execute() const
63 {
64 if (m_Layer)
65 {
66 ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute");
67 m_Layer->run();
68 }
69 }
70
71 } //namespace armnn
72