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-rw-r--r--src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloat32Workload.cpp30
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diff --git a/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloat32Workload.cpp
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index 0000000000..085f58a219
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+++ b/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloat32Workload.cpp
@@ -0,0 +1,30 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "NeonL2NormalizationFloat32Workload.hpp"
+#include "backends/ArmComputeUtils.hpp"
+
+
+namespace armnn
+{
+
+NeonL2NormalizationFloat32Workload::NeonL2NormalizationFloat32Workload(const L2NormalizationQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : Float32Workload<L2NormalizationQueueDescriptor>(descriptor, info)
+{
+ m_Data.ValidateInputsOutputs("NeonL2NormalizationFloat32Workload", 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 NeonL2NormalizationFloat32Workload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonL2NormalizationFloat32Workload_Execute");
+ m_Layer.run();
+}
+
+} //namespace armnn