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| author | David Beck <david.beck@arm.com> | 2018-09-19 12:03:20 +0100 |
|---|---|---|
| committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:56 +0100 |
| commit | 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab (patch) | |
| tree | 1ac5b4f415531e2ef759439ab8e113f177bea7c5 /src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp | |
| parent | a3f165624b2cdfbced674af5a6e11856b1e746d9 (diff) | |
| download | armnn-10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab.tar.gz | |
IVGCVSW-1897 : build infrastructure for the src/backends folder
Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp')
| -rw-r--r-- | src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp | 38 |
1 files changed, 0 insertions, 38 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp deleted file mode 100644 index 313af9c438..0000000000 --- a/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp +++ /dev/null @@ -1,38 +0,0 @@ -// -// 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 |