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//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonBatchToSpaceNdWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <armnn/utility/NumericCast.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <ResolveType.hpp>
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const BatchToSpaceNdDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
// ArmNN blockShape is [H, W] Cl asks for W, H
int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[0]);
int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[1]);
const arm_compute::Status aclStatus = arm_compute::NEBatchToSpaceLayer::validate(&aclInputInfo,
blockWidth,
blockHeight,
&aclOutputInfo);
return aclStatus;
}
NeonBatchToSpaceNdWorkload::NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& descriptor,
const WorkloadInfo& info)
: BaseWorkload<BatchToSpaceNdQueueDescriptor>(descriptor, info)
{
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonBatchToSpaceWorkload_Construct",
descriptor.m_Parameters,
info,
this->GetGuid());
m_Data.ValidateInputsOutputs("NeonBatchToSpaceNdWorkload", 1, 1);
arm_compute::ITensor& input =
armnn::PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output =
armnn::PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
input.info()->set_data_layout(aclDataLayout);
output.info()->set_data_layout(aclDataLayout);
// ArmNN blockShape is [H, W] Cl asks for W, H
int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[0]);
int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[1]);
m_Layer.reset(new arm_compute::NEBatchToSpaceLayer());
m_Layer->configure(&input, blockWidth, blockHeight, &output);
m_Layer->prepare();
}
void NeonBatchToSpaceNdWorkload::Execute() const
{
if (m_Layer)
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonSpaceToBatchNdWorkload_Execute", this->GetGuid());
m_Layer->run();
}
}
} //namespace armnn
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