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//
// 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();
}
bool ClPadValidate(const TensorInfo& input,
const TensorInfo& output,
const PadDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
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);
const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK);
if (!supported && reasonIfUnsupported)
{
*reasonIfUnsupported = aclStatus.error_description();
}
return supported;
}
} // namespace armnn
template class armnn::ClPadWorkload<armnn::DataType::Float16, armnn::DataType::Float32>;
template class armnn::ClPadWorkload<armnn::DataType::QuantisedAsymm8>;
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