1 files changed, 0 insertions, 38 deletions
diff --git a/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp b/src/backends/reference/workloads/RefBatchNormalizationFloat32Workload.cpp
deleted file mode 100644
index 313af9c438..0000000000
--- a/src/backends/reference/workloads/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