Merge pull request #10338 from srihari-humbarwadi:readme

PiperOrigin-RevId: 413033276

official/nlp/nhnet/raw_data_process.py → official/projects/nhnet/raw_data_process.py

@@ -18,7 +18,7 @@ import os
 
 from absl import app
 from absl import flags
-from official.nlp.nhnet import raw_data_processor
+from official.projects.nhnet import raw_data_processor
 
 FLAGS = flags.FLAGS
 

official/nlp/nhnet/trainer.py → official/projects/nhnet/trainer.py

@@ -17,18 +17,20 @@
 import os
 
 # Import libraries
+
 from absl import app
 from absl import flags
 from absl import logging
 from six.moves import zip
 import tensorflow as tf
+
 from official.common import distribute_utils
 from official.modeling.hyperparams import params_dict
-from official.nlp.nhnet import evaluation
-from official.nlp.nhnet import input_pipeline
-from official.nlp.nhnet import models
-from official.nlp.nhnet import optimizer
 from official.nlp.transformer import metrics as transformer_metrics
+from official.projects.nhnet import evaluation
+from official.projects.nhnet import input_pipeline
+from official.projects.nhnet import models
+from official.projects.nhnet import optimizer
 from official.utils.misc import keras_utils
 
 FLAGS = flags.FLAGS

official/nlp/nhnet/trainer_test.py → official/projects/nhnet/trainer_test.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""Tests for official.nlp.nhnet.trainer."""
+"""Tests for official.projects.nhnet.trainer."""
 
 import os
 
@@ -24,8 +24,8 @@ import tensorflow as tf
 from tensorflow.python.distribute import combinations
 from tensorflow.python.distribute import strategy_combinations
 # pylint: enable=g-direct-tensorflow-import
-from official.nlp.nhnet import trainer
-from official.nlp.nhnet import utils
+from official.projects.nhnet import trainer
+from official.projects.nhnet import utils
 
 FLAGS = flags.FLAGS
 trainer.define_flags()

official/nlp/nhnet/utils.py → official/projects/nhnet/utils.py

@@ -20,7 +20,7 @@ import tensorflow as tf
 
 from official.modeling.hyperparams import params_dict
 from official.nlp.bert import configs
-from official.nlp.nhnet import configs as nhnet_configs
+from official.projects.nhnet import configs as nhnet_configs
 
 
 def get_bert_config_from_params(

official/nlp/projects/example/classification_example.py → official/projects/text_classification_example/classification_example.py

@@ -27,8 +27,8 @@ from official.modeling import tf_utils
 from official.modeling.hyperparams import base_config
 from official.nlp.configs import encoders
 from official.nlp.modeling import models
-from official.nlp.projects.example import classification_data_loader
 from official.nlp.tasks import utils
+from official.projects.text_classification_example import classification_data_loader
 
 
 @dataclasses.dataclass

official/nlp/projects/example/classification_example_test.py → official/projects/text_classification_example/classification_example_test.py

@@ -18,8 +18,8 @@ import tensorflow as tf
 
 from official.core import config_definitions as cfg
 from official.nlp.configs import encoders
-from official.nlp.projects.example import classification_data_loader
-from official.nlp.projects.example import classification_example
+from official.projects.text_classification_example import classification_data_loader
+from official.projects.text_classification_example import classification_example
 
 
 class ClassificationExampleTest(tf.test.TestCase):

official/nlp/projects/example/train.py → official/projects/text_classification_example/train.py

@@ -23,7 +23,7 @@ from official.common import flags as tfm_flags
 from official.core import train_lib
 from official.core import train_utils
 from official.modeling import performance
-from official.nlp.projects.example import classification_example
+from official.projects.text_classification_example import classification_example
 
 FLAGS = flags.FLAGS
 

official/projects/volumetric_models/configs/semantic_segmentation_3d.py

@@ -17,10 +17,10 @@
 
 import dataclasses
 from typing import List, Optional, Union
+from official.core import config_definitions as cfg
 from official.core import exp_factory
 from official.modeling import hyperparams
 from official.modeling import optimization
-from official.modeling.hyperparams import config_definitions as cfg
 from official.projects.volumetric_models.configs import backbones
 from official.projects.volumetric_models.configs import decoders
 from official.vision.beta.configs import common

official/projects/volumetric_models/configs/semantic_segmentation_3d_test.py

@@ -19,8 +19,8 @@
 from absl.testing import parameterized
 import tensorflow as tf
 
+from official.core import config_definitions as cfg
 from official.core import exp_factory
-from official.modeling.hyperparams import config_definitions as cfg
 from official.projects.volumetric_models.configs import semantic_segmentation_3d as exp_cfg