From 0421e7f22d9ccd5d810b345731b766a96c841492 Mon Sep 17 00:00:00 2001
From: nikraj01 <nikhil.raj@arm.com>
Date: Fri, 14 Jun 2019 09:40:34 +0100
Subject: IVGCVSW-3224 Add Uint8 support for Rsqrt

Change-Id: I45598fc9b6d408b19d8d050e64c12b1d48535fa3
Signed-off-by: nikraj01 <nikhil.raj@arm.com>
---
 src/backends/reference/RefLayerSupport.cpp | 25 ++++++++++++++++++++-----
 1 file changed, 20 insertions(+), 5 deletions(-)

(limited to 'src/backends/reference/RefLayerSupport.cpp')

diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index f2ab9edca7..b508dfd29d 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -1116,11 +1116,26 @@ bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input,
                                        const TensorInfo& output,
                                        Optional<std::string&> reasonIfUnsupported) const
 {
-    ignore_unused(output);
-    return IsSupportedForDataTypeRef(reasonIfUnsupported,
-                                     input.GetDataType(),
-                                     &TrueFunc<>,
-                                     &FalseFuncU8<>);
+    bool supported = true;
+    std::array<DataType,2> supportedTypes =
+    {
+            DataType::Float32,
+            DataType::QuantisedAsymm8
+    };
+
+    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+                                  "Reference rsqrt: input type not supported");
+
+    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
+                                  "Reference rsqrt: output type not supported");
+
+    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
+                                  "Reference rsqrt: input and output types not matching");
+
+    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
+                                  "Reference Rsqrt: input and output shapes have different number of total elements");
+
+    return supported;
 }
 
 bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
-- 
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