Move XLNet config and modeling code to xlnet folder.

PiperOrigin-RevId: 280720540

official/nlp/xlnet/run_classifier.py

@@ -27,12 +27,12 @@ from absl import logging
 import numpy as np
 import tensorflow as tf
 # pylint: disable=unused-import
-from official.nlp import xlnet_config
-from official.nlp import xlnet_modeling as modeling
 from official.nlp.xlnet import common_flags
 from official.nlp.xlnet import data_utils
 from official.nlp.xlnet import optimization
 from official.nlp.xlnet import training_utils
+from official.nlp.xlnet import xlnet_config
+from official.nlp.xlnet import xlnet_modeling as modeling
 from official.utils.misc import tpu_lib
 
 flags.DEFINE_integer("n_class", default=2, help="Number of classes.")

official/nlp/xlnet/run_pretrain.py

@@ -27,12 +27,12 @@ from absl import flags
 from absl import logging
 import tensorflow as tf
 # pylint: disable=unused-import
-from official.nlp import xlnet_config
-from official.nlp import xlnet_modeling as modeling
 from official.nlp.xlnet import common_flags
 from official.nlp.xlnet import data_utils
 from official.nlp.xlnet import optimization
 from official.nlp.xlnet import training_utils
+from official.nlp.xlnet import xlnet_config
+from official.nlp.xlnet import xlnet_modeling as modeling
 from official.utils.misc import tpu_lib
 
 flags.DEFINE_integer(

official/nlp/xlnet/run_squad.py

@@ -31,13 +31,13 @@ from absl import logging
 import tensorflow as tf
 # pylint: disable=unused-import
 import sentencepiece as spm
-from official.nlp import xlnet_config
-from official.nlp import xlnet_modeling as modeling
 from official.nlp.xlnet import common_flags
 from official.nlp.xlnet import data_utils
 from official.nlp.xlnet import optimization
 from official.nlp.xlnet import squad_utils
 from official.nlp.xlnet import training_utils
+from official.nlp.xlnet import xlnet_config
+from official.nlp.xlnet import xlnet_modeling as modeling
 from official.utils.misc import tpu_lib
 
 flags.DEFINE_string(

official/nlp/xlnet/training_utils.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 # ==============================================================================
 """XLNet training utils."""
-
 from __future__ import absolute_import
 from __future__ import division
 # from __future__ import google_type_annotations
@@ -27,10 +26,11 @@ from absl import logging
 # pytype: disable=attribute-error
 # pylint: disable=g-bare-generic,unused-import
 import tensorflow as tf
+from typing import Any, Callable, Dict, Text, Optional
+
 from official.modeling import model_training_utils
 from official.nlp.xlnet import data_utils
-from official.nlp import xlnet_modeling as modeling
-from typing import Any, Callable, Dict, Text, Optional
+from official.nlp.xlnet import xlnet_modeling as modeling
 
 _MIN_SUMMARY_STEPS = 10
 

official/nlp/xlnet_modeling_test.py → official/nlp/xlnet/xlnet_modeling_test.py

@@ -20,7 +20,7 @@ from absl import logging
 import numpy as np
 import tensorflow as tf
 
-from official.nlp import xlnet_modeling
+from official.nlp.xlnet import xlnet_modeling
 
 
 class PositionalEmbeddingLayerTest(tf.test.TestCase):