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Diffstat (limited to 'src/backends/reference/workloads/RefStackWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefStackWorkload.cpp | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefStackWorkload.cpp b/src/backends/reference/workloads/RefStackWorkload.cpp new file mode 100644 index 0000000000..be36f40633 --- /dev/null +++ b/src/backends/reference/workloads/RefStackWorkload.cpp @@ -0,0 +1,57 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefStackWorkload.hpp" + +#include "RefWorkloadUtils.hpp" +#include "Stack.hpp" + +#include <Profiling.hpp> + +namespace armnn +{ + +RefStackWorkload::RefStackWorkload(const StackQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload(descriptor, info) +{} + +void RefStackWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute"); + + // Can perform a simple concatenation when axis == 0 + if (!m_Data.m_Parameters.m_Axis) + { + float* output = GetOutputTensorData<float>(0, m_Data); + BOOST_ASSERT(output != nullptr); + + unsigned int numInputs = m_Data.m_Parameters.m_NumInputs; + unsigned int inputLength = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements(); + + for (unsigned int inputIdx=0; inputIdx<numInputs; ++inputIdx) + { + const float* input = GetInputTensorData<float>(inputIdx, m_Data); + for (unsigned int elmt=0; elmt<inputLength; ++elmt) + { + output[(inputIdx * inputLength) + elmt] = input[elmt]; + } + } + return; + } + + std::vector<std::unique_ptr<Decoder<float>>> inputDecoders; + for (unsigned int i=0; i<m_Data.m_Inputs.size(); ++i) + { + inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[i]), + m_Data.m_Inputs[i]->Map())); + } + std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]), + m_Data.m_Outputs[0]->Map()); + + Stack(m_Data, inputDecoders, *outputEncoder); +} + +} // namespace armnn |