Obtaining total number of records from .tfrecords file in Tensorflow

To count the number of records, you should be able to use tf.python_io.tf_record_iterator.

c = 0
for fn in tf_records_filenames:
  for record in tf.python_io.tf_record_iterator(fn):
     c += 1

To just keep track of the model training, tensorboard comes in handy.

No it is not possible. TFRecord does not store any metadata about the data being stored inside. This file

represents a sequence of (binary) strings. The format is not random access, so it is suitable for streaming large amounts of data but not suitable if fast sharding or other non-sequential access is desired.

If you want, you can store this metadata manually or use a record_iterator to get the number (you will need to iterate through all the records that you have:

sum(1 for _ in tf.python_io.tf_record_iterator(file_name))

---

If you want to know the current epoch, you can do this either from tensorboard or by printing the number from the loop.