1 files changed, 50 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp
new file mode 100644
index 0000000000..edc13bcfea
--- /dev/null
+++ b/src/backends/cl/workloads/ClL2NormalizationFloatWorkload.cpp
@@ -0,0 +1,50 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClL2NormalizationFloatWorkload.hpp"
+#include <backends/cl/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
+
+
+