3 files changed, 5 insertions, 17 deletions
diff --git a/src/backends/neon/NeonWorkloadFactory.cpp b/src/backends/neon/NeonWorkloadFactory.cpp
index cf9999f5d2..cc7dca031d 100644
--- a/src/backends/neon/NeonWorkloadFactory.cpp
+++ b/src/backends/neon/NeonWorkloadFactory.cpp
@@ -144,8 +144,7 @@ std::unique_ptr<IWorkload> NeonWorkloadFactory::CreateComparison(const Compariso
         GreaterQueueDescriptor greaterQueueDescriptor;
         greaterQueueDescriptor.m_Inputs  = descriptor.m_Inputs;
         greaterQueueDescriptor.m_Outputs = descriptor.m_Outputs;
-
-        return MakeWorkloadHelper<NeonGreaterFloat32Workload, NeonGreaterUint8Workload>(greaterQueueDescriptor, info);
+        return std::make_unique<NeonGreaterWorkload>(greaterQueueDescriptor, info);
     }
     return MakeWorkloadHelper<NullWorkload, NullWorkload>(descriptor, info);
 }
diff --git a/src/backends/neon/workloads/NeonGreaterWorkload.cpp b/src/backends/neon/workloads/NeonGreaterWorkload.cpp
index 6380dfada5..1ec5ac4be0 100644
--- a/src/backends/neon/workloads/NeonGreaterWorkload.cpp
+++ b/src/backends/neon/workloads/NeonGreaterWorkload.cpp
@@ -23,9 +23,8 @@ arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo& input0,
                                             &aclOutput);
 }
 
-template <DataType T>
-NeonGreaterWorkload<T>::NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info)
-    : MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>(descriptor, info)
+NeonGreaterWorkload::NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : BaseWorkload<GreaterQueueDescriptor>(descriptor, info)
 {
     m_Data.ValidateInputsOutputs("NeonGreaterWorkload", 2, 1);
 
@@ -36,14 +35,10 @@ NeonGreaterWorkload<T>::NeonGreaterWorkload(const GreaterQueueDescriptor& descri
     m_GreaterLayer.configure(&input0, &input1, &output);
 }
 
-template <DataType T>
-void NeonGreaterWorkload<T>::Execute() const
+void NeonGreaterWorkload::Execute() const
 {
     ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonGreaterWorkload_Execute");
     m_GreaterLayer.run();
 }
 
-template class NeonGreaterWorkload<DataType::Float32>;
-template class NeonGreaterWorkload<DataType::QAsymmU8>;
-
 } //namespace armnn
 \ No newline at end of file
diff --git a/src/backends/neon/workloads/NeonGreaterWorkload.hpp b/src/backends/neon/workloads/NeonGreaterWorkload.hpp
index bcab27e7a6..503e60e784 100644
--- a/src/backends/neon/workloads/NeonGreaterWorkload.hpp
+++ b/src/backends/neon/workloads/NeonGreaterWorkload.hpp
@@ -16,12 +16,9 @@ arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo& input0,
                                                 const TensorInfo& input1,
                                                 const TensorInfo& output);
 
-template <DataType T>
-class NeonGreaterWorkload : public MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>
+class NeonGreaterWorkload : public BaseWorkload<GreaterQueueDescriptor>
 {
 public:
-    using MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>::m_Data;
-
     NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info);
 
     virtual void Execute() const override;
@@ -30,7 +27,4 @@ private:
     mutable arm_compute::NEGreater m_GreaterLayer;
 };
 
-using NeonGreaterFloat32Workload = NeonGreaterWorkload<DataType::Float32>;
-using NeonGreaterUint8Workload = NeonGreaterWorkload<DataType::QAsymmU8>;
-
 } //namespace armnn
 \ No newline at end of file