1 //
2 // Copyright © 2017, 2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "ClBatchToSpaceNdWorkload.hpp"
7
8 #include <cl/ClTensorHandle.hpp>
9 #include <armnn/backends/TensorHandle.hpp>
10 #include <aclCommon/ArmComputeTensorUtils.hpp>
11
12 #include <armnn/utility/NumericCast.hpp>
13
14 #include "ClWorkloadUtils.hpp"
15
16 namespace armnn
17 {
18 using namespace armcomputetensorutils;
19
ClBatchToSpaceNdWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const BatchToSpaceNdDescriptor & descriptor)20 arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo& input,
21 const TensorInfo& output,
22 const BatchToSpaceNdDescriptor& descriptor)
23 {
24 DataLayout dataLayout = descriptor.m_DataLayout;
25 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, 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::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
32
33 const arm_compute::Status aclStatus = arm_compute::CLBatchToSpaceLayer::validate(&aclInputInfo,
34 blockWidth,
35 blockHeight,
36 &aclOutputInfo);
37 return aclStatus;
38 }
39
ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor & descriptor,const WorkloadInfo & info,const arm_compute::CLCompileContext & clCompileContext)40 ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& descriptor,
41 const WorkloadInfo& info,
42 const arm_compute::CLCompileContext& clCompileContext)
43 : ClBaseWorkload<BatchToSpaceNdQueueDescriptor>(descriptor, info)
44 {
45 // Report Profiling Details
46 ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClBatchToSpaceWorkload_Construct",
47 descriptor.m_Parameters,
48 info,
49 this->GetGuid());
50
51 m_Data.ValidateInputsOutputs("ClBatchToSpaceNdWorkload", 1, 1);
52
53 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
54
55 arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
56 input.info()->set_data_layout(aclDataLayout);
57
58 // ArmNN blockShape is [H, W] Cl asks for W, H
59 int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[0]);
60 int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[1]);
61
62 arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
63 output.info()->set_data_layout(aclDataLayout);
64
65 {
66 ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClBatchToSpaceNdWorkload_configure");
67 m_Layer.configure(clCompileContext, &input, blockWidth, blockHeight, &output);
68 }
69 }
70
Execute() const71 void ClBatchToSpaceNdWorkload::Execute() const
72 {
73 ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClBatchToSpaceNdWorkload_Execute", this->GetGuid());
74 RunClFunction(m_Layer, CHECK_LOCATION());
75 }
76
77 } //namespace armnn
78