remove incorrect setting of result_t

Author: jmitrevs

hls4ml/model/optimizer/passes/linear.py

@@ -40,7 +40,6 @@ def transform(self, model, node):
         # if the activation has a quantizer (usually from a QONNX Quant node), set the previous node's output precision
         if quantizer is not None:
             prev_node.set_attr("quantizer", quantizer)
-            prev_node.types['result_t'] = quantizer.hls_type
             prev_node.get_output_variable().type.precision = quantizer.hls_type
         model.remove_node(node)
         return True