1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "NeonSpaceToDepthWorkload.hpp"
7 #include "NeonWorkloadUtils.hpp"
8
9 #include <armnn/utility/NumericCast.hpp>
10 #include <armnn/utility/PolymorphicDowncast.hpp>
11
12 #include <ResolveType.hpp>
13
14 namespace armnn
15 {
16
17 using namespace armcomputetensorutils;
18
NeonSpaceToDepthWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const SpaceToDepthDescriptor & descriptor)19 arm_compute::Status NeonSpaceToDepthWorkloadValidate(const TensorInfo& input,
20 const TensorInfo& output,
21 const SpaceToDepthDescriptor& descriptor)
22 {
23 DataLayout dataLayout = descriptor.m_DataLayout;
24 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout);
25 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout);
26
27 int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_BlockSize);
28
29 return arm_compute::NESpaceToDepthLayer::validate(&aclInput, &aclOutput, blockSize);
30 }
31
NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor & descriptor,const WorkloadInfo & info)32 NeonSpaceToDepthWorkload::NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& descriptor,
33 const WorkloadInfo& info)
34 : NeonBaseWorkload<SpaceToDepthQueueDescriptor>(descriptor, info)
35 {
36 // Report Profiling Details
37 ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonSpaceToDepthWorkload_Construct",
38 descriptor.m_Parameters,
39 info,
40 this->GetGuid());
41
42 m_Data.ValidateInputsOutputs("NeonSpaceToDepthWorkload", 1, 1);
43
44 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
45
46 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
47 input.info()->set_data_layout(aclDataLayout);
48
49 int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockSize);
50
51 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
52 output.info()->set_data_layout(aclDataLayout);
53
54 m_Layer.reset(new arm_compute::NESpaceToDepthLayer());
55 m_Layer->configure(&input, &output, blockSize);
56 m_Layer->prepare();
57 }
58
Execute() const59 void NeonSpaceToDepthWorkload::Execute() const
60 {
61 if (m_Layer)
62 {
63 ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonSpaceToDepthWorkload_Execute", this->GetGuid());
64 m_Layer->run();
65 }
66 }
67
68 } //namespace armnn