commit 47cfee9358be7a5c1c71e4ab7e94bec2557248c1
author Narumol Prangnawarat <narumol.prangnawarat@arm.com> Thu Jul 04 10:29:00 2019 +0100
committer Narumol Prangnawarat <narumol.prangnawarat@arm.com> Mon Jul 08 07:49:31 2019 +0000
tree 6608cbbba1377e0384c2517fee2a4b34509356c0
parent d2aa85ee2a0f574bcba50a376721f15c7e99308d

IVGCVSW-3399 Add support of QuantisedSymm16 to Debug and unit tests,
refactor to be done

Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I6dbf6a2aa328b8c843632e1231931b4e1c6888bb

src/backends/reference/RefLayerSupport.cpp

diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index ae668f3..f375876 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -533,11 +533,25 @@
                                        const TensorInfo& output,
                                        Optional<std::string&> reasonIfUnsupported) const
 {
-    ignore_unused(output);
-    return IsSupportedForDataTypeRef(reasonIfUnsupported,
-                                     input.GetDataType(),
-                                     &TrueFunc<>,
-                                     &TrueFunc<>);
+    bool supported = true;
+
+    std::array<DataType,3> supportedTypes =
+    {
+        DataType::Float32,
+        DataType::QuantisedAsymm8,
+        DataType::QuantisedSymm16
+    };
+
+    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+                                  "Reference debug: input type not supported");
+
+    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
+                                  "Reference debug: output type not supported");
+
+    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
+                                  "Reference debug: input and output types are mismatched");
+
+    return supported;
 }
 
 bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input,