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Diffstat (limited to 'src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp b/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp new file mode 100644 index 0000000000..50dafcac3c --- /dev/null +++ b/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp @@ -0,0 +1,67 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefTransposeConvolution2dWorkload.hpp" + +#include "RefWorkloadUtils.hpp" +#include "TransposeConvolution2d.hpp" + +#include <Profiling.hpp> + +namespace armnn +{ + +RefTransposeConvolution2dWorkload::RefTransposeConvolution2dWorkload( + const TransposeConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) : + BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info) +{ + // set up weights decoder + m_Weights = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight)); + const TensorInfo& weightsInfo = GetTensorInfo(m_Weights.get()); + + m_WeightsDecoder = MakeDecoder<float>(weightsInfo, m_Weights.get()->Map(true)); + m_WeightsShape = weightsInfo.GetShape(); + + // set up biases decoder + if (descriptor.m_Parameters.m_BiasEnabled) + { + m_Biases = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)); + const TensorInfo& biasesInfo = GetTensorInfo(m_Biases.get()); + m_BiasesDecoder = MakeDecoder<float>(biasesInfo, m_Biases.get()->Map(true)); + } +} + +void RefTransposeConvolution2dWorkload::PostAllocationConfigure() +{ + // set up input decoder + const ITensorHandle* input = m_Data.m_Inputs[0]; + const TensorInfo& inputInfo = GetTensorInfo(input); + + m_InputShape = inputInfo.GetShape(); + m_InputDecoder = MakeDecoder<float>(inputInfo, input->Map()); + + // set up output encoder + ITensorHandle* output = m_Data.m_Outputs[0]; + const TensorInfo& outputInfo = GetTensorInfo(output); + + m_OutputShape = outputInfo.GetShape(); + m_OutputEncoder = MakeEncoder<float>(outputInfo, output->Map()); +} + +void RefTransposeConvolution2dWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefTransposeConvolution2dWorkload_Execute"); + + TransposeConvolution2dImpl(m_Data.m_Parameters, + m_InputShape, + *m_InputDecoder, + m_OutputShape, + *m_OutputEncoder, + m_WeightsShape, + *m_WeightsDecoder, + m_BiasesDecoder.get()); +} + +} // namespace armnn
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