Internal change

PiperOrigin-RevId: 433881862

official/nlp/xlnet/classifier_utils.py → official/legacy/xlnet/classifier_utils.py

@@ -16,7 +16,7 @@
 
 from absl import logging
 
-from official.nlp.xlnet import data_utils
+from official.legacy.xlnet import data_utils
 
 SEG_ID_A = 0
 SEG_ID_B = 1

official/nlp/xlnet/preprocess_classification_data.py → official/legacy/xlnet/preprocess_classification_data.py

@@ -26,8 +26,8 @@ import numpy as np
 import tensorflow as tf
 
 import sentencepiece as spm
-from official.nlp.xlnet import classifier_utils
-from official.nlp.xlnet import preprocess_utils
+from official.legacy.xlnet import classifier_utils
+from official.legacy.xlnet import preprocess_utils
 
 
 flags.DEFINE_bool(

official/nlp/xlnet/preprocess_pretrain_data.py → official/legacy/xlnet/preprocess_pretrain_data.py

@@ -28,7 +28,7 @@ import numpy as np
 
 import tensorflow.compat.v1 as tf
 import sentencepiece as spm
-from official.nlp.xlnet import preprocess_utils
+from official.legacy.xlnet import preprocess_utils
 
 FLAGS = flags.FLAGS
 

official/nlp/xlnet/preprocess_squad_data.py → official/legacy/xlnet/preprocess_squad_data.py

@@ -25,7 +25,7 @@ from absl import logging
 import tensorflow as tf
 
 import sentencepiece as spm
-from official.nlp.xlnet import squad_utils
+from official.legacy.xlnet import squad_utils
 
 flags.DEFINE_integer(
     "num_proc", default=1, help="Number of preprocessing processes.")

official/nlp/xlnet/run_classifier.py → official/legacy/xlnet/run_classifier.py

@@ -24,12 +24,12 @@ import numpy as np
 import tensorflow as tf
 # pylint: disable=unused-import
 from official.common import distribute_utils
-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.legacy.xlnet import common_flags
+from official.legacy.xlnet import data_utils
+from official.legacy.xlnet import optimization
+from official.legacy.xlnet import training_utils
+from official.legacy.xlnet import xlnet_config
+from official.legacy.xlnet import xlnet_modeling as modeling
 
 flags.DEFINE_integer("n_class", default=2, help="Number of classes.")
 flags.DEFINE_string(

official/nlp/xlnet/run_pretrain.py → official/legacy/xlnet/run_pretrain.py

@@ -24,12 +24,12 @@ from absl import logging
 import tensorflow as tf
 # pylint: disable=unused-import
 from official.common import distribute_utils
-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.legacy.xlnet import common_flags
+from official.legacy.xlnet import data_utils
+from official.legacy.xlnet import optimization
+from official.legacy.xlnet import training_utils
+from official.legacy.xlnet import xlnet_config
+from official.legacy.xlnet import xlnet_modeling as modeling
 
 flags.DEFINE_integer(
     "num_predict",

official/nlp/xlnet/run_squad.py → official/legacy/xlnet/run_squad.py

@@ -28,13 +28,13 @@ import tensorflow as tf
 # pylint: disable=unused-import
 import sentencepiece as spm
 from official.common import distribute_utils
-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.legacy.xlnet import common_flags
+from official.legacy.xlnet import data_utils
+from official.legacy.xlnet import optimization
+from official.legacy.xlnet import squad_utils
+from official.legacy.xlnet import training_utils
+from official.legacy.xlnet import xlnet_config
+from official.legacy.xlnet import xlnet_modeling as modeling
 
 flags.DEFINE_string(
     "test_feature_path", default=None, help="Path to feature of test set.")

official/nlp/xlnet/squad_utils.py → official/legacy/xlnet/squad_utils.py

@@ -32,8 +32,8 @@ import numpy as np
 import six
 import tensorflow as tf
 
-from official.nlp.xlnet import data_utils
-from official.nlp.xlnet import preprocess_utils
+from official.legacy.xlnet import data_utils
+from official.legacy.xlnet import preprocess_utils
 
 SPIECE_UNDERLINE = u"▁"
 

official/nlp/xlnet/training_utils.py → official/legacy/xlnet/training_utils.py

@@ -22,7 +22,7 @@ from absl import logging
 import tensorflow as tf
 
 from official.legacy.bert import model_training_utils
-from official.nlp.xlnet import data_utils
+from official.legacy.xlnet import data_utils
 
 # pytype: disable=attribute-error
 # pylint: disable=g-bare-generic,unused-import

official/nlp/xlnet/xlnet_modeling.py → official/legacy/xlnet/xlnet_modeling.py

@@ -18,9 +18,8 @@ import copy
 import warnings
 
 import tensorflow as tf
-
+from official.legacy.xlnet import data_utils
 from official.nlp.modeling import networks
-from official.nlp.xlnet import data_utils
 
 
 def gelu(x):