Explicitly import estimator from tensorflow as a separate import inst…

…ead of

accessing it via tf.estimator and depend on the tensorflow estimator target.

PiperOrigin-RevId: 436547871

tfx_bsl/beam/run_inference_test.py

@@ -27,6 +27,7 @@
 from googleapiclient import discovery
 from googleapiclient import http
 import tensorflow as tf
+from tensorflow.compat.v1 import estimator as tf_estimator
 from tfx_bsl.beam import run_inference
 from tfx_bsl.beam import test_helpers
 from tfx_bsl.public.proto import model_spec_pb2
@@ -87,12 +88,12 @@ def _build_predict_model(self, model_path):
                                               default_value=0)
       }
       serving_receiver = (
-          tf.compat.v1.estimator.export.build_parsing_serving_input_receiver_fn(
+          tf_estimator.export.build_parsing_serving_input_receiver_fn(
               input_tensors)())
       output_tensors = {'y': serving_receiver.features['x'] * 2}
       sess = tf.compat.v1.Session()
       sess.run(tf.compat.v1.initializers.global_variables())
-      signature_def = tf.compat.v1.estimator.export.PredictOutput(
+      signature_def = tf_estimator.export.PredictOutput(
           output_tensors).as_signature_def(serving_receiver.receiver_tensors)
       builder = tf.compat.v1.saved_model.builder.SavedModelBuilder(model_path)
       builder.add_meta_graph_and_variables(