1 files changed, 51 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp
new file mode 100644
index 0000000000..969c9bb08b
--- /dev/null
+++ b/src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp
@@ -0,0 +1,51 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClNormalizationFloatWorkload.hpp"
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/CpuTensorHandle.hpp>
+#include <backends/cl/ClLayerSupport.hpp>
+#include <backends/aclCommon/ArmComputeUtils.hpp>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+#include "ClWorkloadUtils.hpp"
+
+using namespace armnn::armcomputetensorutils;
+
+namespace armnn
+{
+
+arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo& input,
+                                                    const TensorInfo& output,
+                                                    const NormalizationDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
+
+    arm_compute::NormalizationLayerInfo layerInfo = BuildArmComputeNormalizationLayerInfo(descriptor);
+
+    return arm_compute::CLNormalizationLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
+}
+
+ClNormalizationFloatWorkload::ClNormalizationFloatWorkload(const NormalizationQueueDescriptor& descriptor,
+                                                           const WorkloadInfo& info)
+    : FloatWorkload<NormalizationQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("ClNormalizationFloatWorkload", 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();
+
+    arm_compute::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(m_Data.m_Parameters);
+
+    m_NormalizationLayer.configure(&input, &output, normalizationInfo);
+};
+
+void ClNormalizationFloatWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClNormalizationFloatWorkload_Execute");
+    m_NormalizationLayer.run();
+}
+
+} //namespace armnn