// // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "NeonTransposeWorkload.hpp" #include #include #include namespace armnn { arm_compute::Status NeonTransposeWorkloadValidate(const TensorInfo& input, const TensorInfo& output, const TransposeDescriptor& descriptor) { const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); const armnn::PermutationVector& mappings = descriptor.m_DimMappings; return arm_compute::NEPermute::validate(&aclInputInfo, &aclOutputInfo, armcomputetensorutils::BuildArmComputeTransposeVector(mappings)); } NeonTransposeWorkload::NeonTransposeWorkload(const TransposeQueueDescriptor& descriptor, const WorkloadInfo& info) : NeonBaseWorkload(descriptor, info) { // Report Profiling Details ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonTransposeWorkload_Construct", descriptor.m_Parameters, info, this->GetGuid()); m_Data.ValidateInputsOutputs(GetName(), 1, 1); const arm_compute::ITensor& input = static_cast(m_Data.m_Inputs[0])->GetTensor(); arm_compute::ITensor& output = static_cast(m_Data.m_Outputs[0])->GetTensor(); const armnn::PermutationVector& mappings = m_Data.m_Parameters.m_DimMappings; // Run the layer. m_PermuteFunction.configure(&input, &output, armcomputetensorutils::BuildArmComputeTransposeVector(mappings)); } void NeonTransposeWorkload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(GetName() + "_Execute", this->GetGuid()); m_PermuteFunction.run(); } } // namespace armnn