1 files changed, 14 insertions, 4 deletions
diff --git a/src/backends/reference/workloads/RefMeanWorkload.cpp b/src/backends/reference/workloads/RefMeanWorkload.cpp
index 00e59bca4c..7941ce2c36 100644
--- a/src/backends/reference/workloads/RefMeanWorkload.cpp
+++ b/src/backends/reference/workloads/RefMeanWorkload.cpp
@@ -20,13 +20,23 @@ RefMeanWorkload::RefMeanWorkload(const MeanQueueDescriptor& descriptor, const Wo
 
 void RefMeanWorkload::Execute() const
 {
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefMeanWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefMeanWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefMeanWorkload_Execute");
 
-    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
-    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+    const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
+    const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
 
-    auto inputDecoder  = MakeDecoder<float>(inputInfo,  m_Data.m_Inputs[0]->Map());
-    auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
+    auto inputDecoder  = MakeDecoder<float>(inputInfo,  inputs[0]->Map());
+    auto outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map());
 
     Reduce(inputInfo,
            outputInfo,