Qualcomm AI Engine Direct - fixed missing import in custom op example

Author: shewu-quic

examples/qualcomm/custom_op/custom_ops_1.py

@@ -70,8 +70,6 @@ def annotate_custom(gm: torch.fx.GraphModule) -> None:
     This function is specific for custom op.
     The source_fn of the rewritten nn module turns out to be "my_ops.mul3.default"
     """
-    from executorch.backends.qualcomm.quantizer.annotators import _is_annotated
-
     from executorch.backends.qualcomm.quantizer.qconfig import (
         get_ptq_per_channel_quant_config,
     )
@@ -85,7 +83,7 @@ def annotate_custom(gm: torch.fx.GraphModule) -> None:
             continue
 
         # skip annotation if it is already annotated
-        if _is_annotated([node]):
+        if Q_ANNOTATION_KEY in node.meta and node.meta[Q_ANNOTATION_KEY]._annotated:
             continue
 
         input_qspec_map = {}