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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/RefBatchNormalizationFloat32Workload.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/RefBatchNormalizationFloat32Workload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp b/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp new file mode 100644 index 0000000000..313af9c438 --- /dev/null +++ b/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp @@ -0,0 +1,38 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefBatchNormalizationFloat32Workload.hpp" + +#include "BatchNormImpl.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +namespace armnn +{ +RefBatchNormalizationFloat32Workload::RefBatchNormalizationFloat32Workload( + const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) + : Float32Workload<BatchNormalizationQueueDescriptor>(descriptor, info), + m_Mean(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean))), + m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance))), + m_Beta(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta))), + m_Gamma(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma))) {} + +void RefBatchNormalizationFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationFloat32Workload_Execute"); + + const float* var = m_Variance->GetConstTensor<float>(); + const float* mean = m_Mean->GetConstTensor<float>(); + const float* gamma = m_Gamma->GetConstTensor<float>(); + const float* beta = m_Beta->GetConstTensor<float>(); + + auto inputData = GetInputTensorDataFloat(0, m_Data); + auto outputData = GetOutputTensorDataFloat(0, m_Data); + + BatchNormImpl(m_Data, var, mean, gamma, beta, outputData, inputData); +} + +} //namespace armnn |