TensorFlow - Read all examples from a TFRecords at once?

Question

How do you read all examples from a TFRecords at once?

I\'ve been using tf.parse_single_example to read out individual examples using code similar to th

Answer 1

Besides, if you don't think 'tf.train.shuffle_batch' is the way you need. You may try combination of tf.TFRecordReader().read_up_to() and tf.parse_example() as well. Here's the example for your reference:

def read_tfrecords(folder_name, bs):
    filename_queue = tf.train.string_input_producer(tf.train.match_filenames_once(glob.glob(folder_name + "/*.tfrecords")))
    reader = tf.TFRecordReader()
    _, serialized = reader.read_up_to(filename_queue, bs)
    features = tf.parse_example(
        serialized,
        features={
            'label': tf.FixedLenFeature([], tf.string),
            'image': tf.FixedLenFeature([], tf.string)
        }
    )
    record_image = tf.decode_raw(features['image'], tf.uint8)
    image = tf.reshape(record_image, [-1, 250, 151, 1])
    label = tf.cast(features['label'], tf.string)
    return image, label