Create output directories for finetuning data preparation if they don't exist.

PiperOrigin-RevId: 305703696

official/nlp/data/classifier_data_lib.py

@@ -578,6 +578,7 @@ def file_based_convert_examples_to_features(examples, label_list,
                                             output_file):
   """Convert a set of `InputExample`s to a TFRecord file."""
 
+  tf.io.gfile.makedirs(os.path.dirname(output_file))
   writer = tf.io.TFRecordWriter(output_file)
 
   for (ex_index, example) in enumerate(examples):

official/nlp/data/create_finetuning_data.py

@@ -20,6 +20,7 @@ from __future__ import print_function
 
 import functools
 import json
+import os
 
 from absl import app
 from absl import flags
@@ -191,6 +192,7 @@ def main(_):
   else:
     input_meta_data = generate_squad_dataset()
 
+  tf.io.gfile.makedirs(os.path.dirname(FLAGS.meta_data_file_path))
   with tf.io.gfile.GFile(FLAGS.meta_data_file_path, "w") as writer:
     writer.write(json.dumps(input_meta_data, indent=4) + "\n")