[Fix] Manually set the input after the quantzation step

examples/export_ResNet18/resnet18.py

@@ -140,7 +140,7 @@ DO_EXAMPLES     = True
 OPTIM_SIGN      = False   
 SINGLE_SHIFT    = True    
 ROUNDING        = True 
-NO_QUANTIZATION = False
+NO_QUANT        = False
 CLIPPING        = aidge_quantization.Clipping.MSE  # 'MAX'
 FOLD_GRAPH      = True
 
@@ -345,7 +345,13 @@ Each time the graph has been change, it has to be reset.
 Here some Quantizer and Cast nodes have been added. 
 """
 
+""" [Issue]
+We need first to manually add an input tensor with the correct datatype, 
+as it is not automatically done in PTQ. 
+"""
 if quantize_model:
+    input_node = model.get_ordered_inputs()[0]
+    input_node[0].get_operator().set_input(0, aidge_tensors[0])
     scheduler.reset_scheduling()
 
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