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Diffstat (limited to 'src/backends/RefWorkloads/RefBaseConstantWorkload.cpp')
-rw-r--r-- | src/backends/RefWorkloads/RefBaseConstantWorkload.cpp | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/src/backends/RefWorkloads/RefBaseConstantWorkload.cpp b/src/backends/RefWorkloads/RefBaseConstantWorkload.cpp new file mode 100644 index 0000000000..647677b4fb --- /dev/null +++ b/src/backends/RefWorkloads/RefBaseConstantWorkload.cpp @@ -0,0 +1,49 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefBaseConstantWorkload.hpp" + +#include "RefWorkloadUtils.hpp" + +#include <armnn/Types.hpp> + +#include <boost/assert.hpp> + +#include <cstring> + +namespace armnn +{ + +template <armnn::DataType DataType> +void RefBaseConstantWorkload<DataType>::Execute() const +{ + // Considering the reference backend independently, it could be possible to initialise the intermediate tensor + // created by the layer output handler at workload construction time, rather than at workload execution time. + // However, this is not an option for other backends (e.g. CL). For consistency, we prefer to align all + // implementations. + // A similar argument can be made about performing the memory copy in the first place (the layer output handler + // could have a non-owning reference to the layer output tensor managed by the const input layer); again, this is + // not an option for other backends, and the extra complexity required to make this work for the reference backend + // may not be worth the effort (skipping a memory copy in the first inference). + if (!m_RanOnce) + { + const ConstantQueueDescriptor& data = this->m_Data; + + BOOST_ASSERT(data.m_LayerOutput != nullptr); + + const TensorInfo& outputInfo = GetTensorInfo(data.m_Outputs[0]); + BOOST_ASSERT(data.m_LayerOutput->GetTensorInfo().GetNumBytes() == outputInfo.GetNumBytes()); + + memcpy(GetOutputTensorData<void>(0, data), data.m_LayerOutput->GetConstTensor<void>(), + outputInfo.GetNumBytes()); + + m_RanOnce = true; + } +} + +template class RefBaseConstantWorkload<DataType::Float32>; +template class RefBaseConstantWorkload<DataType::QuantisedAsymm8>; + +} //namespace armnn |