blob: 04885b18aa63b8c7b4a6ff4b57fcaf278b58a571 [file] [log] [blame]
//
// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClDepthToSpaceWorkload.hpp"
#include "ClWorkloadUtils.hpp"
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <cl/ClTensorHandle.hpp>
#include <boost/numeric/conversion/cast.hpp>
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status ClDepthToSpaceWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const DepthToSpaceDescriptor& desc)
{
DataLayout dataLayout = desc.m_DataLayout;
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout);
int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_BlockSize);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout);
const arm_compute::Status aclStatus = arm_compute::CLDepthToSpaceLayer::validate(&aclInputInfo,
&aclOutputInfo,
blockSize);
return aclStatus;
}
ClDepthToSpaceWorkload::ClDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor& desc,
const WorkloadInfo& info)
: BaseWorkload<DepthToSpaceQueueDescriptor>(desc, info)
{
m_Data.ValidateInputsOutputs("ClDepthToSpaceWorkload", 1, 1);
arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
arm_compute::ICLTensor& input =
PolymorphicPointerDowncast<IClTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
input.info()->set_data_layout(aclDataLayout);
int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize);
arm_compute::ICLTensor& output =
PolymorphicPointerDowncast<IClTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
output.info()->set_data_layout(aclDataLayout);
m_Layer.configure(&input, &output, blockSize);
}
void ClDepthToSpaceWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL("ClDepthToSpaceWorkload_Execute");
RunClFunction(m_Layer, CHECK_LOCATION());
}
} // namespace armnn