1 files changed, 0 insertions, 50 deletions
diff --git a/src/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp b/src/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp
deleted file mode 100644
index 0ca334348e..0000000000
--- a/src/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClL2NormalizationFloatWorkload.hpp"
-#include <backends/ClTensorHandle.hpp>
-#include <backends/CpuTensorHandle.hpp>
-#include <backends/aclCommon/ArmComputeUtils.hpp>
-
-#include "ClWorkloadUtils.hpp"
-
-namespace armnn
-{
-using namespace armcomputetensorutils;
-
-arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input,
-                                                      const TensorInfo& output,
-                                                      const L2NormalizationDescriptor& descriptor)
-{
-    const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
-    const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
-
-    arm_compute::NormalizationLayerInfo normalizationInfo =
-            CreateAclNormalizationLayerInfoForL2Normalization(input);
-
-    return arm_compute::CLNormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo);
-}
-
-ClL2NormalizationFloatWorkload::ClL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor,
-                                                               const WorkloadInfo& info)
-    : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
-{
-    m_Data.ValidateInputsOutputs("ClL2NormalizationFloatWorkload", 1, 1);
-
-    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
-    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
-    m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0]));
-}
-
-void ClL2NormalizationFloatWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClL2NormalizationFloatWorkload_Execute");
-    m_Layer.run();
-}
-
-} //namespace armnn
-
-
-