1 files changed, 0 insertions, 42 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp
deleted file mode 100644
index 7296e67179..0000000000
--- a/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp
+++ /dev/null
@@ -1,42 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "NeonL2NormalizationFloatWorkload.hpp"
-#include "backends/ArmComputeUtils.hpp"
-
-namespace armnn
-{
-
-arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input,
-                                                        const TensorInfo& output)
-{
-    const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
-    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
-
-    arm_compute::NormalizationLayerInfo normalizationInfo =
-            CreateAclNormalizationLayerInfoForL2Normalization(input);
-
-    return arm_compute::NENormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo);
-}
-
-NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor,
-    const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
-    : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
-    , m_Layer(memoryManager)
-{
-    m_Data.ValidateInputsOutputs("NeonL2NormalizationFloatWorkload", 1, 1);
-
-    arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
-    arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
-    m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0]));
-}
-
-void NeonL2NormalizationFloatWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonL2NormalizationFloatWorkload_Execute");
-    m_Layer.run();
-}
-
-} //namespace armnn