Fix ITEX Quantize/ Dequantize before BN u8 issue (#931)

Signed-off-by: Lv, Liang1 <[email protected]>

neural_compressor/adaptor/tf_utils/graph_rewriter/qdq/insert_qdq_pattern.py

@@ -216,13 +216,10 @@ def _find_relu_node(self, node):
                 input1_node = self.node_name_mapping[node.input[1].rsplit(':', 1)[0]].node
             else:
                 input1_node = self.node_name_mapping[node.input[1]].node
-            if input0_node.op in ("AvgPool", "MaxPool"):
-                return self._find_relu_node(input0_node)
-            if input1_node.op in ("AvgPool", "MaxPool"):
-                return self._find_relu_node(input1_node)
-            if input1_node.op in ('BiasAdd', 'Add', 'AddV2', 'AddN'):
+            if input0_node.op in ('BiasAdd', 'Add', 'AddV2', 'AddN') or \
+               input1_node.op in ('BiasAdd', 'Add', 'AddV2', 'AddN'):
                 return False
-            return self._find_relu_node(input1_node)
+            return self._find_relu_node(input0_node) and self._find_relu_node(input1_node)
         elif self._check_op_list(node.op) or (self.itex_mode and node.op in ('Add', 'AddV2')):
             if node.op == 'ConcatV2':
                 find_relu = False