1 files changed, 45 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonBatchNormalizationFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonBatchNormalizationFloat32Workload.cpp
new file mode 100644
index 0000000000..f107c8137f
--- /dev/null
+++ b/src/armnn/backends/NeonWorkloads/NeonBatchNormalizationFloat32Workload.cpp
@@ -0,0 +1,45 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "NeonBatchNormalizationFloat32Workload.hpp"
+#include "backends/CpuTensorHandle.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+NeonBatchNormalizationFloat32Workload::NeonBatchNormalizationFloat32Workload(
+    const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : Float32Workload<BatchNormalizationQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonBatchNormalizationFloat32Workload", 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();
+
+    BuildArmComputeTensor(m_Mean, m_Data.m_Mean->GetTensorInfo());
+    BuildArmComputeTensor(m_Variance, m_Data.m_Variance->GetTensorInfo());
+    BuildArmComputeTensor(m_Gamma, m_Data.m_Gamma->GetTensorInfo());
+    BuildArmComputeTensor(m_Beta, m_Data.m_Beta->GetTensorInfo());
+
+    m_Layer.configure(
+        &input, &output, &m_Mean, &m_Variance, &m_Beta, &m_Gamma, m_Data.m_Parameters.m_Eps);
+
+    InitialiseArmComputeTensorData(m_Mean, m_Data.m_Mean->GetConstTensor<float>());
+    InitialiseArmComputeTensorData(m_Variance, m_Data.m_Variance->GetConstTensor<float>());
+    InitialiseArmComputeTensorData(m_Gamma, m_Data.m_Gamma->GetConstTensor<float>());
+    InitialiseArmComputeTensorData(m_Beta, m_Data.m_Beta->GetConstTensor<float>());
+}
+
+void NeonBatchNormalizationFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonBatchNormalizationFloat32Workload_Execute");
+    m_Layer.run();
+}
+
+} //namespace armnn
+
+