Release 18.08

[platform/upstream/armnn.git] / src / armnn / backends / RefWorkloads / RefBatchNormalizationFloat32Workload.cpp

diff --git a/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp
index c421b0f..fbc1f07 100644 (file)
--- a/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp
+++ b/src/armnn/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp
@@ -12,15 +12,22 @@
 
 namespace armnn
 {
+RefBatchNormalizationFloat32Workload::RefBatchNormalizationFloat32Workload(
+   const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
+      : Float32Workload<BatchNormalizationQueueDescriptor>(descriptor, info),
+        m_Mean(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean))),
+        m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance))),
+        m_Beta(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta))),
+        m_Gamma(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma))) {}
 
 void RefBatchNormalizationFloat32Workload::Execute() const
 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationFloat32Workload_Execute");
 
-    const float* var   = m_Data.m_Variance->GetConstTensor<float>();
-    const float* mean  = m_Data.m_Mean->GetConstTensor<float>();
-    const float* gamma = m_Data.m_Gamma->GetConstTensor<float>();
-    const float* beta  = m_Data.m_Beta->GetConstTensor<float>();
+    const float* var   = m_Variance->GetConstTensor<float>();
+    const float* mean  = m_Mean->GetConstTensor<float>();
+    const float* gamma = m_Gamma->GetConstTensor<float>();
+    const float* beta  = m_Beta->GetConstTensor<float>();
 
     auto inputData = GetInputTensorDataFloat(0, m_Data);
     auto outputData = GetOutputTensorDataFloat(0, m_Data);