xref: /aosp_15_r20/external/armnn/src/backends/cl/workloads/ClChannelShuffleWorkload.cpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)
1 //
2 // Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ClChannelShuffleWorkload.hpp"
7 #include "ClWorkloadUtils.hpp"
8 
9 #include <armnn/utility/PolymorphicDowncast.hpp>
10 
11 #include <aclCommon/ArmComputeTensorUtils.hpp>
12 
13 #include <cl/ClTensorHandle.hpp>
14 
15 using namespace armnn::armcomputetensorutils;
16 
17 namespace armnn
18 {
19 
ClChannelShuffleValidate(const TensorInfo & input,const TensorInfo & output,const ChannelShuffleDescriptor & descriptor)20 arm_compute::Status ClChannelShuffleValidate(const TensorInfo& input,
21                                              const TensorInfo& output,
22                                              const ChannelShuffleDescriptor& descriptor)
23 {
24     arm_compute::TensorInfo aclInputInfo  = BuildArmComputeTensorInfo(input);
25     arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
26 
27     // In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.
28     // The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,
29     // it only supports channel shuffle for 4D tensors in dimension C (1 or 3).
30     arm_compute::DataLayout aclDataLayout;
31     if (input.GetNumDimensions() == 4)
32     {
33         switch (descriptor.m_Axis)
34         {
35             case 1:
36                 aclDataLayout = ConvertDataLayout(armnn::DataLayout::NCHW);
37                 break;
38             case 3:
39                 aclDataLayout = ConvertDataLayout(armnn::DataLayout::NHWC);
40                 break;
41             default:
42                 return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, "Unsupported axis"};
43         }
44         aclInputInfo.set_data_layout(aclDataLayout);
45         aclOutputInfo.set_data_layout(aclDataLayout);
46         return arm_compute::CLChannelShuffleLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_NumGroups);
47     }
48     else
49     {
50         return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, "Unsupported number of dimensions"};
51     }
52 }
53 
ClChannelShuffleWorkload(const ChannelShuffleQueueDescriptor & descriptor,const WorkloadInfo & info,const arm_compute::CLCompileContext & clCompileContext)54 ClChannelShuffleWorkload::ClChannelShuffleWorkload(const ChannelShuffleQueueDescriptor& descriptor,
55                                                    const WorkloadInfo& info,
56                                                    const arm_compute::CLCompileContext& clCompileContext)
57     : ClBaseWorkload<ChannelShuffleQueueDescriptor>(descriptor, info)
58 {
59     // Report Profiling Details
60     ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClChannelShufflenWorkload_Construct",
61                                          descriptor.m_Parameters,
62                                          info,
63                                          this->GetGuid());
64 
65     m_Data.ValidateInputsOutputs("ClChannelShuffleWorkload", 1, 1);
66 
67     arm_compute::ICLTensor& input  = PolymorphicDowncast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
68     arm_compute::ICLTensor& output = PolymorphicDowncast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
69 
70     // In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.
71     // The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,
72     // it only supports channel shuffle for 4D tensors in dimension C (1 or 3).
73     arm_compute::DataLayout aclDataLayout;
74     switch (descriptor.m_Parameters.m_Axis)
75     {
76         case 1:
77             aclDataLayout = ConvertDataLayout(armnn::DataLayout::NCHW);
78             break;
79         case 3:
80             aclDataLayout = ConvertDataLayout(armnn::DataLayout::NHWC);
81             break;
82         default:
83             ARMNN_ASSERT_MSG(false, "Unsupported axis");
84             break;
85     }
86     input.info()->set_data_layout(aclDataLayout);
87     output.info()->set_data_layout(aclDataLayout);
88 
89     {
90         ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClChannelShuffleWorkload_configure");
91         m_ChannelShuffleLayer.configure(clCompileContext, &input, &output, descriptor.m_Parameters.m_NumGroups);
92     }
93 }
94 
Execute() const95 void ClChannelShuffleWorkload::Execute() const
96 {
97     ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClChannelShuffleWorkload_Execute", this->GetGuid());
98     RunClFunction(m_ChannelShuffleLayer, CHECK_LOCATION());
99 }
100 
101 } // namespace armnn
102