1 files changed, 15 insertions, 4 deletions
diff --git a/src/backends/reference/workloads/RefActivationWorkload.cpp b/src/backends/reference/workloads/RefActivationWorkload.cpp
index a26a6399bc..77958673e9 100644
--- a/src/backends/reference/workloads/RefActivationWorkload.cpp
+++ b/src/backends/reference/workloads/RefActivationWorkload.cpp
@@ -17,17 +17,28 @@ namespace armnn
 
 void RefActivationWorkload::Execute() const
 {
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefActivationWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefActivationWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefActivationWorkload_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]);
 
-    Activation(*MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map()),
-               *MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map()),
+    Activation(*MakeDecoder<float>(inputInfo, inputs[0]->Map()),
+               *MakeEncoder<float>(outputInfo, outputs[0]->Map()),
                inputInfo,
                m_Data.m_Parameters.m_Function,
                m_Data.m_Parameters.m_A,
                m_Data.m_Parameters.m_B);
 }
 
+
 } //namespace armnn