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Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClBaseConstantWorkload.cpp')
| -rw-r--r-- | src/armnn/backends/ClWorkloads/ClBaseConstantWorkload.cpp | 54 |
1 files changed, 54 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClBaseConstantWorkload.cpp b/src/armnn/backends/ClWorkloads/ClBaseConstantWorkload.cpp new file mode 100644 index 0000000000..4b72d92d72 --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClBaseConstantWorkload.cpp @@ -0,0 +1,54 @@ +// +// 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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