diff --git a/tensorflow/python/keras/distribute/worker_training_state_test.py b/tensorflow/python/keras/distribute/worker_training_state_test.py
index cb65747c239..67f15b9748a 100644
--- a/tensorflow/python/keras/distribute/worker_training_state_test.py
+++ b/tensorflow/python/keras/distribute/worker_training_state_test.py
@@ -24,7 +24,6 @@ from absl.testing import parameterized
 from tensorflow.python.distribute import combinations as ds_combinations
 from tensorflow.python.distribute import multi_worker_test_base as test_base
 from tensorflow.python.framework import test_combinations as combinations
-from tensorflow.python.framework.errors_impl import NotFoundError
 from tensorflow.python.keras import callbacks
 from tensorflow.python.keras.distribute import multi_worker_testing_utils
 from tensorflow.python.lib.io import file_io
@@ -51,13 +50,8 @@ class ModelCheckpointTest(test_base.IndependentWorkerTestBase,
               filepath=saving_filepath, save_weights_only=save_weights_only)
       ]
       self.assertFalse(file_io.file_exists_v2(saving_filepath))
-
-      try:
-        model.fit(
-            x=train_ds, epochs=2, steps_per_epoch=2, callbacks=callbacks_list)
-      except NotFoundError as e:
-        if 'Failed to create a NewWriteableFile' in e.message:
-          self.skipTest('b/138941852, path not found error in Windows py35.')
+      model.fit(
+          x=train_ds, epochs=2, steps_per_epoch=2, callbacks=callbacks_list)
       tf_saved_model_exists = file_io.file_exists_v2(saving_filepath)
       tf_weights_only_checkpoint_exists = file_io.file_exists_v2(
           saving_filepath + '.index')