1 files changed, 27 insertions, 9 deletions
diff --git a/src/backends/reference/workloads/RefComparisonWorkload.cpp b/src/backends/reference/workloads/RefComparisonWorkload.cpp
index 52ad9a2879..03df7a4c4a 100644
--- a/src/backends/reference/workloads/RefComparisonWorkload.cpp
+++ b/src/backends/reference/workloads/RefComparisonWorkload.cpp
@@ -26,9 +26,15 @@ RefComparisonWorkload::RefComparisonWorkload(const ComparisonQueueDescriptor& de
 
 void RefComparisonWorkload::PostAllocationConfigure()
 {
-    const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
-    const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
-    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+    PostAllocationConfigure(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefComparisonWorkload::PostAllocationConfigure(std::vector<ITensorHandle*> inputs,
+                                                    std::vector<ITensorHandle*> outputs)
+{
+    const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
+    const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
+    const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
 
     m_Input0 = MakeDecoder<InType>(inputInfo0);
     m_Input1 = MakeDecoder<InType>(inputInfo1);
@@ -38,19 +44,31 @@ void RefComparisonWorkload::PostAllocationConfigure()
 
 void RefComparisonWorkload::Execute() const
 {
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefComparisonWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    PostAllocationConfigure(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefComparisonWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefComparisonWorkload_Execute");
 
-    const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
-    const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
-    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+    const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
+    const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
+    const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
 
     const TensorShape& inShape0 = inputInfo0.GetShape();
     const TensorShape& inShape1 = inputInfo1.GetShape();
     const TensorShape& outShape = outputInfo.GetShape();
 
-    m_Input0->Reset(m_Data.m_Inputs[0]->Map());
-    m_Input1->Reset(m_Data.m_Inputs[1]->Map());
-    m_Output->Reset(m_Data.m_Outputs[0]->Map());
+    m_Input0->Reset(inputs[0]->Map());
+    m_Input1->Reset(inputs[1]->Map());
+    m_Output->Reset(outputs[0]->Map());
 
     using EqualFunction          = ElementwiseBinaryFunction<std::equal_to<InType>>;
     using GreaterFunction        = ElementwiseBinaryFunction<std::greater<InType>>;