diff --git a/examples/cadence/operators/facto_util.py b/examples/cadence/operators/facto_util.py
index e708796c7b7..96ec1a0b32b 100644
--- a/examples/cadence/operators/facto_util.py
+++ b/examples/cadence/operators/facto_util.py
@@ -6,11 +6,11 @@
 from typing import List, OrderedDict, Tuple
 
 import torch
-from inputgen.argtuple.gen import ArgumentTupleGenerator
-from inputgen.specs.model import ConstraintProducer as cp
-from inputgen.utils.random_manager import random_manager
-from inputgen.variable.type import ScalarDtype
-from specdb.db import SpecDictDB
+from facto.inputgen.argtuple.gen import ArgumentTupleGenerator
+from facto.inputgen.specs.model import ConstraintProducer as cp
+from facto.inputgen.utils.random_manager import random_manager
+from facto.inputgen.variable.type import ScalarDtype
+from facto.specdb.db import SpecDictDB
 
 # seed to generate identical cases every run to reproduce from bisect
 random_manager.seed(1729)
diff --git a/examples/cadence/operators/targets.bzl b/examples/cadence/operators/targets.bzl
index 32dc9061b51..dd6294f85a6 100644
--- a/examples/cadence/operators/targets.bzl
+++ b/examples/cadence/operators/targets.bzl
@@ -26,8 +26,7 @@ def define_common_targets():
         typing = True,
         deps = [
             "fbcode//caffe2:torch",
-            "fbcode//pytorch/facto:inputgen",
-            "fbcode//pytorch/facto:specdb",
+            "fbcode//pytorch/facto:facto",
         ],
     )