1 files changed, 50 insertions, 0 deletions
diff --git a/src/backends/ClWorkloads/ClNormalizationFloatWorkload.cpp b/src/backends/ClWorkloads/ClNormalizationFloatWorkload.cpp
new file mode 100644
index 0000000000..d2625354ef
--- /dev/null
+++ b/src/backends/ClWorkloads/ClNormalizationFloatWorkload.cpp
@@ -0,0 +1,50 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClNormalizationFloatWorkload.hpp"
+#include "backends/ClTensorHandle.hpp"
+#include "backends/CpuTensorHandle.hpp"
+#include "backends/ClLayerSupport.hpp"
+#include "backends/ArmComputeUtils.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+#include "ClWorkloadUtils.hpp"
+
+namespace armnn
+{
+
+arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo& input, const TensorInfo& output,
+    const NormalizationDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    arm_compute::NormalizationLayerInfo layerInfo =
+        armcomputetensorutils::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 =
+        armcomputetensorutils::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