| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClPadWorkload.hpp" |
| |
| #include <backends/cl/ClTensorHandle.hpp> |
| #include <backends/aclCommon/ArmComputeTensorUtils.hpp> |
| #include <arm_compute/core/Types.h> |
| |
| #include "ClWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| template <armnn::DataType... T> |
| ClPadWorkload<T...>::ClPadWorkload(const PadQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : TypedWorkload<PadQueueDescriptor, T...>(descriptor, info) |
| { |
| this->m_Data.ValidateInputsOutputs("ClPadWorkload", 1, 1); |
| |
| arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor(); |
| arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(descriptor.m_Parameters.m_PadList); |
| |
| m_Layer.configure(&input, &output, padList); |
| } |
| |
| template <armnn::DataType... T> |
| void ClPadWorkload<T...>::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<arm_compute::PaddingList>(descriptor.m_PadList); |
| |
| const arm_compute::Status aclStatus = arm_compute::CLPadLayer::validate(&aclInputInfo, |
| &aclOutputInfo, |
| padList); |
| |
| return aclStatus; |
| } |
| |
| } // namespace armnn |
| |
| template class armnn::ClPadWorkload<armnn::DataType::Float16, armnn::DataType::Float32>; |
| template class armnn::ClPadWorkload<armnn::DataType::QuantisedAsymm8>; |