While running this block i.e. the last block

[makamkkumar]

While running this block i.e. the last block

_#tx.utils.maybe_create_dir(model_dir)
#logging_file = os.path.join(model_dir, 'logging.txt')

model_dir = "gs://bert_summ/models/"uncased_L-12_H-768_A-12/bert_model.ckpt
logging_file= "logging.txt"
logger = utils.get_logger(logging_file)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
sess.run(tf.local_variables_initializer())
sess.run(tf.tables_initializer())

smry_writer = tf.summary.FileWriter(model_dir, graph=sess.graph)

if run_mode == 'train_and_evaluate':
logger.info('Begin running with train_and_evaluate mode')

if tf.train.latest_checkpoint(model_dir) is not None:
    logger.info('Restore latest checkpoint in %s' % model_dir)
    saver.restore(sess, tf.train.latest_checkpoint(model_dir))

iterator.initialize_dataset(sess)

step = 5000
for epoch in range(max_train_epoch):
  iterator.restart_dataset(sess, 'train')
  step = _train_epoch(sess, epoch, step, smry_writer)

elif run_mode == 'test':
logger.info('Begin running with test mode')

logger.info('Restore latest checkpoint in %s' % model_dir)
saver.restore(sess, tf.train.latest_checkpoint(model_dir))

_eval_epoch(sess, 0, mode='test')

else:
raise ValueError('Unknown mode: {}'.format(run_mode))_

The error I am getting is:-

PermissionDeniedError Traceback (most recent call last)
in
10 sess.run(tf.tables_initializer())
11
---> 12 smry_writer = tf.summary.FileWriter(model_dir, graph=sess.graph)
13
14 if run_mode == 'train_and_evaluate':

~/anaconda3/envs/tf-1.8/lib/python3.6/site-packages/tensorflow/python/summary/writer/writer.py in init(self, logdir, graph, max_queue, flush_secs, graph_def, filename_suffix)
350
351 event_writer = EventFileWriter(logdir, max_queue, flush_secs,
--> 352 filename_suffix)
353 super(FileWriter, self).init(event_writer, graph, graph_def)
354

~/anaconda3/envs/tf-1.8/lib/python3.6/site-packages/tensorflow/python/summary/writer/event_file_writer.py in init(self, logdir, max_queue, flush_secs, filename_suffix)
65 self._logdir = logdir
66 if not gfile.IsDirectory(self._logdir):
---> 67 gfile.MakeDirs(self._logdir)
68 self._event_queue = six.moves.queue.Queue(max_queue)
69 self._ev_writer = pywrap_tensorflow.EventsWriter(

~/anaconda3/envs/tf-1.8/lib/python3.6/site-packages/tensorflow/python/lib/io/file_io.py in recursive_create_dir(dirname)
372 """
373 with errors.raise_exception_on_not_ok_status() as status:
--> 374 pywrap_tensorflow.RecursivelyCreateDir(compat.as_bytes(dirname), status)
375
376

~/anaconda3/envs/tf-1.8/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py in exit(self, type_arg, value_arg, traceback_arg)
517 None, None,
518 compat.as_text(c_api.TF_Message(self.status.status)),
--> 519 c_api.TF_GetCode(self.status.status))
520 # Delete the underlying status object from memory otherwise it stays alive
521 # as there is a reference to status from this from the traceback due to

PermissionDeniedError: Error executing an HTTP request (HTTP response code 401, error code 0, error message ''), response '{
"error": {
"errors": [
{
"domain": "global",
"reason": "required",
"message": "Anonymous caller does not have storage.objects.get access to bert_summ/models/.",
"locationType": "header",
"location": "Authorization"
}
],
"code": 401,
"message": "Anonymous caller does not have storage.objects.get access to bert_summ/models/."
}
}
'
when reading metadata of gs://bert_summ/models/