1 files changed, 65 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefComparisonWorkload.cpp b/src/backends/reference/workloads/RefComparisonWorkload.cpp
new file mode 100644
index 0000000000..fe517ff51a
--- /dev/null
+++ b/src/backends/reference/workloads/RefComparisonWorkload.cpp
@@ -0,0 +1,65 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefComparisonWorkload.hpp"
+#include "ElementwiseFunction.hpp"
+#include "RefWorkloadUtils.hpp"
+#include "Profiling.hpp"
+#include <vector>
+
+namespace armnn {
+
+template<typename ParentDescriptor, typename Functor>
+void RefFloat32ComparisonWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char* debugString) const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString);
+
+    auto data = BaseFloat32ComparisonWorkload<ParentDescriptor>::GetData();
+    const TensorShape& inShape0 = GetTensorInfo(data.m_Inputs[0]).GetShape();
+    const TensorShape& inShape1 = GetTensorInfo(data.m_Inputs[1]).GetShape();
+    const TensorShape& outputShape = GetTensorInfo(data.m_Outputs[0]).GetShape();
+
+    const float* inData0 = GetInputTensorDataFloat(0, data);
+    const float* inData1 = GetInputTensorDataFloat(1, data);
+    uint8_t* outData = GetOutputTensorData<uint8_t>(0, data);
+
+    ElementwiseFunction<Functor, float, uint8_t>(inShape0,
+                                                 inShape1,
+                                                 outputShape,
+                                                 inData0,
+                                                 inData1,
+                                                 outData);
+
+}
+
+template<typename ParentDescriptor, typename Functor>
+void RefUint8ComparisonWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char* debugString) const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString);
+
+    auto data = BaseUint8ComparisonWorkload<ParentDescriptor>::GetData();
+    const TensorShape& inputInfo0 = GetTensorInfo(data.m_Inputs[0]).GetShape();
+    const TensorShape& inputInfo1 = GetTensorInfo(data.m_Inputs[1]).GetShape();
+    const TensorShape& outputShape = GetTensorInfo(data.m_Outputs[0]).GetShape();
+
+    const uint8_t* inData0 = GetInputTensorData<uint8_t>(0, data);
+    const uint8_t* inData1 = GetInputTensorData<uint8_t>(1, data);
+    uint8_t* outData = GetOutputTensorData<uint8_t>(0, data);
+
+    ElementwiseFunction<Functor, uint8_t, uint8_t>(inputInfo0,
+                                                   inputInfo1,
+                                                   outputShape,
+                                                   inData0,
+                                                   inData1,
+                                                   outData);
+}
+
+}
+
+template class armnn::RefFloat32ComparisonWorkload<armnn::EqualQueueDescriptor, std::equal_to<float>>;
+template class armnn::RefUint8ComparisonWorkload<armnn::EqualQueueDescriptor, std::equal_to<uint8_t>>;
+
+template class armnn::RefFloat32ComparisonWorkload<armnn::GreaterQueueDescriptor, std::greater<float>>;
+template class armnn::RefUint8ComparisonWorkload<armnn::GreaterQueueDescriptor, std::greater<uint8_t>>;