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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "ClBaseConstantWorkload.hpp"
#include "backends/ClTensorHandle.hpp"
#include "backends/CpuTensorHandle.hpp"
namespace armnn
{
template class ClBaseConstantWorkload<DataType::Float32>;
template class ClBaseConstantWorkload<DataType::QuantisedAsymm8>;
template<armnn::DataType dataType>
void ClBaseConstantWorkload<dataType>::Execute() const
{
// The intermediate tensor held by the corresponding layer output handler can be initialised with the given data
// on the first inference, then reused for subsequent inferences.
// The initialisation cannot happen at workload construction time since the ACL kernel for the next layer may not
// have been configured at the time.
if (!m_RanOnce)
{
const ConstantQueueDescriptor& data = this->m_Data;
BOOST_ASSERT(data.m_LayerOutput != nullptr);
arm_compute::CLTensor& output = static_cast<ClTensorHandle*>(data.m_Outputs[0])->GetTensor();
switch (dataType)
{
case DataType::Float32:
{
CopyArmComputeClTensorData(data.m_LayerOutput->GetConstTensor<float>(), output);
break;
}
case DataType::QuantisedAsymm8:
{
CopyArmComputeClTensorData(data.m_LayerOutput->GetConstTensor<uint8_t>(), output);
break;
}
default:
{
BOOST_ASSERT_MSG(false, "Unknown data type");
break;
}
}
m_RanOnce = true;
}
}
} //namespace armnn
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