From 4d85adf436092d01ca0957967156e36060e8be68 Mon Sep 17 00:00:00 2001
From: Teresa Charlin <teresa.charlinreyes@arm.com>
Date: Thu, 27 Oct 2022 11:37:29 +0100
Subject: IVGCVSW-7296 REDUCE_PROD tests fail when using Tf 2.10

* In TF what ArmNN calls quantized data types can be non-quantized as well.
* This patch creates 2 models:
     * ArmNN: model where int8 and uint8 will always be quantized, but scale can be 1 and offset 0
     * TFLite: model where int8 and uint8 can be quantized and non-quantized


Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id960f2f30988f2bbec88cb4e0c52c189ac957bae
---
 src/armnn/Network.cpp | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

(limited to 'src/armnn')

diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp
index d3ce7ab62c..9d00a69518 100644
--- a/src/armnn/Network.cpp
+++ b/src/armnn/Network.cpp
@@ -574,8 +574,10 @@ bool CheckScaleSetOnQuantizedType(Layer* layer, Optional<std::vector<std::string
     for (unsigned int i = 0; i < numOutputs; i++) {
         OutputSlot& outputSlot = layer->GetOutputSlot(i);
         TensorInfo info = outputSlot.GetTensorInfo();
-        if (DataType::QAsymmU8 == info.GetDataType()) {
-            if (0.f == info.GetQuantizationScale()) {
+        if (DataType::QAsymmU8 == info.GetDataType())
+        {
+            if (0.f == info.GetQuantizationScale())
+            {
                 noErrors = false;
                 std::stringstream ss;
                 ss << "output " << i << " of layer " << GetLayerTypeAsCString(layer->GetType())
-- 
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