1 files changed, 42 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp
new file mode 100644
index 0000000000..bf0ef01349
--- /dev/null
+++ b/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp
@@ -0,0 +1,42 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#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