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Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefBaseConstantWorkload.cpp')
-rw-r--r-- | src/armnn/backends/RefWorkloads/RefBaseConstantWorkload.cpp | 49 |
1 files changed, 0 insertions, 49 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefBaseConstantWorkload.cpp b/src/armnn/backends/RefWorkloads/RefBaseConstantWorkload.cpp deleted file mode 100644 index 647677b4fb..0000000000 --- a/src/armnn/backends/RefWorkloads/RefBaseConstantWorkload.cpp +++ /dev/null @@ -1,49 +0,0 @@ -// -// 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 |