IVGCVSW-3993 Add frontend and reference workload for ComparisonLayer

* Added frontend for ComparisonLayer
* Added RefComparisonWorkload
* Deprecated and removed Equal and Greater layers and workloads
* Updated tests to ensure backward compatibility

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id50c880be1b567c531efff919c0c366d0a71cbe9
diff --git a/src/backends/reference/RefLayerSupport.hpp b/src/backends/reference/RefLayerSupport.hpp
index 5c71e8d..04b355e 100644
--- a/src/backends/reference/RefLayerSupport.hpp
+++ b/src/backends/reference/RefLayerSupport.hpp
@@ -45,6 +45,12 @@
                                    const BatchToSpaceNdDescriptor& descriptor,
                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsComparisonSupported(const TensorInfo& input0,
+                               const TensorInfo& input1,
+                               const TensorInfo& output,
+                               const ComparisonDescriptor& descriptor,
+                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
     bool IsConcatSupported(const std::vector<const TensorInfo*> inputs,
                            const TensorInfo& output,
                            const ConcatDescriptor& descriptor,
@@ -106,6 +112,7 @@
                              const TensorInfo& output,
                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
     bool IsEqualSupported(const TensorInfo& input0,
                           const TensorInfo& input1,
                           const TensorInfo& output,
@@ -131,6 +138,7 @@
                            const TensorInfo& output,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
     bool IsGreaterSupported(const TensorInfo& input0,
                             const TensorInfo& input1,
                             const TensorInfo& output,