blob: 3e63d5c2106feffa737f29957b905fcf790ffb98 [file] [log] [blame]
//
// 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;
ClPadWorkload::ClPadWorkload(const PadQueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<PadQueueDescriptor>(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();
std::vector<std::pair<unsigned int, unsigned int>> 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<arm_compute::PaddingList>(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<arm_compute::PaddingList>(descriptor.m_PadList);
const arm_compute::Status aclStatus = arm_compute::CLPadLayer::validate(&aclInputInfo,
&aclOutputInfo,
padList);
return aclStatus;
}
} // namespace armnn