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author | David Beck <david.beck@arm.com> | 2018-09-24 13:18:27 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
commit | b4540bef0b0327683fe8e63f727c1212800dc2a9 (patch) | |
tree | e1ea8bb6ee981640a1c469ceb556ed648ffde411 /src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp | |
parent | 2d9dd36fb6bc20b370701ab15463359b9db35f18 (diff) | |
download | armnn-b4540bef0b0327683fe8e63f727c1212800dc2a9.tar.gz |
IVGCVSW-1898 : Ref backend folder structure
* Reference backend is renamed to backends/reference as per
https://confluence.arm.com/display/MLENG/Pluggable+backends
Change-Id: I27a13c274eb60995dfb459e3c49c0e2f60bcd32c
Diffstat (limited to 'src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp b/src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp new file mode 100644 index 0000000000..cd785d786c --- /dev/null +++ b/src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp @@ -0,0 +1,66 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefFullyConnectedUint8Workload.hpp" + +#include "FullyConnected.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +#include <vector> + +namespace armnn +{ +RefFullyConnectedUint8Workload::RefFullyConnectedUint8Workload( + const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info) + : Uint8Workload<FullyConnectedQueueDescriptor>(descriptor, info), + m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))), + m_Bias(descriptor.m_Parameters.m_BiasEnabled + ? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {} + +void RefFullyConnectedUint8Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedUint8Workload_Execute"); + + const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + + const uint8_t* weightData = m_Weight->GetConstTensor<uint8_t>(); + + auto dequant = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo); + + auto weight = Dequantize(weightData, m_Weight->GetTensorInfo()); + + std::vector<float> results(outputInfo.GetNumElements()); + + if (m_Data.m_Parameters.m_BiasEnabled) + { + const int32_t* biasData = m_Bias->GetConstTensor<int32_t>(); + auto bias = Dequantize(biasData, m_Bias->GetTensorInfo()); + + FullyConnected(dequant.data(), + results.data(), + inputInfo, + outputInfo, + weight.data(), + bias.data(), + m_Data.m_Parameters.m_TransposeWeightMatrix); + } + else + { + FullyConnected(dequant.data(), + results.data(), + inputInfo, + outputInfo, + weight.data(), + nullptr, + m_Data.m_Parameters.m_TransposeWeightMatrix); + } + + Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo); +} + +} //namespace armnn |