hello i have question

[LEEGILJUN]

good day!
i found when i test your cord
look at the error massege
occurred some error
in Configuring a Training Pipeline

AttributeError Traceback (most recent call last)
in ()
1 import re
----> 2 num_classes = get_num_classes(label_map_pbtxt_fname)
3 filename = '/content/models/research/object_detection/samples/configs/faster_rcnn_inception_v2_pets.config'
4 with open(pipeline_fname) as f:
5 s = f.read()

1 frames
/content/models/research/object_detection/utils/label_map_util.py in load_labelmap(path)
136 a StringIntLabelMapProto
137 """
--> 138 with tf.gfile.GFile(path, 'r') as fid:
139 label_map_string = fid.read()
140 label_map = string_int_label_map_pb2.StringIntLabelMap()

AttributeError: module 'tensorflow' has no attribute 'gfile'

`import re
num_classes = get_num_classes(label_map_pbtxt_fname)
filename = '/content/models/research/object_detection/samples/configs/faster_rcnn_inception_v2_pets.config'
with open(pipeline_fname) as f:
s = f.read()
with open(pipeline_fname, 'w') as f:

# fine_tune_checkpoint
s = re.sub('fine_tune_checkpoint: ".*?"',
           'fine_tune_checkpoint: "{}"'.format(fine_tune_checkpoint), s)

# tfrecord files train and test.
s = re.sub(
    '(input_path: ".*?)(train.record)(.*?")', 'input_path: "{}"'.format(train_record_fname), s)
s = re.sub(
    '(input_path: ".*?)(val.record)(.*?")', 'input_path: "{}"'.format(test_record_fname), s)

# label_map_path
s = re.sub(
    'label_map_path: ".*?"', 'label_map_path: "{}"'.format(label_map_pbtxt_fname), s)

# Set training batch_size.
s = re.sub('batch_size: [0-9]+',
           'batch_size: {}'.format(batch_size), s)

# Set training steps, num_steps
s = re.sub('num_steps: [0-9]+',
           'num_steps: {}'.format(num_steps), s)

# Set number of classes num_classes.
s = re.sub('num_classes: [0-9]+',
           'num_classes: {}'.format(num_classes), s)
f.write(s)`