// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "ClPadWorkload.hpp" #include #include #include #include "ClWorkloadUtils.hpp" namespace armnn { using namespace armcomputetensorutils; ClPadWorkload::ClPadWorkload(const PadQueueDescriptor& descriptor, const WorkloadInfo& info) : BaseWorkload(descriptor, info) { this->m_Data.ValidateInputsOutputs("ClPadWorkload", 1, 1); arm_compute::ICLTensor& input = static_cast(this->m_Data.m_Inputs[0])->GetTensor(); arm_compute::ICLTensor& output = static_cast(this->m_Data.m_Outputs[0])->GetTensor(); std::vector> reversed_PadList(descriptor.m_Parameters.m_PadList.size()); std::reverse_copy(std::begin(descriptor.m_Parameters.m_PadList), std::end(descriptor.m_Parameters.m_PadList), std::begin(reversed_PadList)); arm_compute::PaddingList padList = static_cast(reversed_PadList); m_Layer.configure(&input, &output, padList); } void ClPadWorkload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_CL("ClPadWorkload_Execute"); m_Layer.run(); } arm_compute::Status ClPadValidate(const TensorInfo& input, const TensorInfo& output, const PadDescriptor& descriptor) { const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); arm_compute::PaddingList padList = static_cast(descriptor.m_PadList); const arm_compute::Status aclStatus = arm_compute::CLPadLayer::validate(&aclInputInfo, &aclOutputInfo, padList); return aclStatus; } } // namespace armnn