1 files changed, 42 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClBatchNormalizationFloat32Workload.cpp b/src/armnn/backends/ClWorkloads/ClBatchNormalizationFloat32Workload.cpp
new file mode 100644
index 0000000000..dabd495d59
--- /dev/null
+++ b/src/armnn/backends/ClWorkloads/ClBatchNormalizationFloat32Workload.cpp
@@ -0,0 +1,42 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "ClBatchNormalizationFloat32Workload.hpp"
+#include "backends/ClTensorHandle.hpp"
+#include "backends/CpuTensorHandle.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+ClBatchNormalizationFloat32Workload::ClBatchNormalizationFloat32Workload(
+    const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : Float32Workload<BatchNormalizationQueueDescriptor>(descriptor, info)
+{
+    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_Data.ValidateInputsOutputs("ClBatchNormalizationFloat32Workload", 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, &m_Mean, &m_Variance, &m_Beta, &m_Gamma, m_Data.m_Parameters.m_Eps);
+
+    InitialiseArmComputeClTensorData(m_Mean, m_Data.m_Mean->GetConstTensor<float>());
+    InitialiseArmComputeClTensorData(m_Variance, m_Data.m_Variance->GetConstTensor<float>());
+    InitialiseArmComputeClTensorData(m_Beta, m_Data.m_Beta->GetConstTensor<float>());
+    InitialiseArmComputeClTensorData(m_Gamma, m_Data.m_Gamma->GetConstTensor<float>());
+}
+
+void ClBatchNormalizationFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClBatchNormalizationFloat32Workload_Execute");
+    m_Layer.run();
+}
+
+} //namespace armnn
+\ No newline at end of file