commit 221013677fd43dcd38ed729e83f8510285753369
author Teresa Charlin <teresa.charlinreyes@arm.com> Fri Oct 20 11:40:12 2023 +0100
committer TeresaARM <teresa.charlinreyes@arm.com> Fri Oct 20 10:50:33 2023 +0000
tree 193185ce8ab6771532ca8edc90ae8b9f24acd42b
parent 98eace94204e44b831bd000dd22c23eb39bc1a4f

IVGCVSW-8103 SquareDiff restriction in quantization not needed

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib49795e44ea7e4674a3b8e0df46e80c82f9a4132

src/armnnTfLiteParser/TfLiteParser.cpp

diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index dcd3850..b3f5b56 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -5125,7 +5125,6 @@
 
     TensorInfo inputTensorInfo  = InputTensorInfo(subgraphIndex, operatorIndex, 0);
     TensorInfo input1TensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 1);
-    CheckMatchingQuantization(inputTensorInfo, input1TensorInfo, layerName, "Input 0", "Input 1");
 
     IConnectableLayer* layer = m_Network->AddElementwiseBinaryLayer(BinaryOperation::SqDiff, layerName.c_str());
 
@@ -5136,7 +5135,6 @@
     }
 
     TensorInfo outputTensorInfo = OutputTensorInfoFromInputs(subgraphIndex, operatorIndex, layer, 0, {0, 1});
-    CheckMatchingQuantization(inputTensorInfo, outputTensorInfo, layerName, "Input 0", "Output 0");
     layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
 
     auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex));