(self, batch_size)
return example
Get a single example from the tfrecord file.

    Args:
      batch_size: Int, minibatch size.

    Returns:
      tf.Example protobuf parsed from tfrecord.
Get a single example from the tfrecord file.
Get a single example from the tfrecord file .
def get_example(self, batch_size):
    """Get a single example from the tfrecord file.

    Args:
      batch_size: Int, minibatch size.

    Returns:
      tf.Example protobuf parsed from tfrecord.
    """
    reader = tf.TFRecordReader()
    num_epochs = None if self.is_training else 1
    capacity = batch_size
    path_queue = tf.train.input_producer(
        [self.record_path],
        num_epochs=num_epochs,
        shuffle=self.is_training,
        capacity=capacity)
    unused_key, serialized_example = reader.read(path_queue)
    features = {
        "note_str": tf.FixedLenFeature([], dtype=tf.string),
        "pitch": tf.FixedLenFeature([1], dtype=tf.int64),
        "velocity": tf.FixedLenFeature([1], dtype=tf.int64),
        "audio": tf.FixedLenFeature([64000], dtype=tf.float32),
        "qualities": tf.FixedLenFeature([10], dtype=tf.int64),
        "instrument_source": tf.FixedLenFeature([1], dtype=tf.int64),
        "instrument_family": tf.FixedLenFeature([1], dtype=tf.int64),
    }
    example = tf.parse_single_example(serialized_example, features)
    return example
def get_example ( self , batch_size ) : reader = tf . TFRecordReader ( ) num_epochs = None if self . is_training else 1 capacity = batch_size path_queue = tf . train . input_producer ( [ self . record_path ] , num_epochs = num_epochs , shuffle = self . is_training , capacity = capacity ) unused_key , serialized_example = reader . read ( path_queue ) features = { "note_str" : tf . FixedLenFeature ( [ ] , dtype = tf . string ) , "pitch" : tf . FixedLenFeature ( [ 1 ] , dtype = tf . int64 ) , "velocity" : tf . FixedLenFeature ( [ 1 ] , dtype = tf . int64 ) , "audio" : tf . FixedLenFeature ( [ 64000 ] , dtype = tf . float32 ) , "qualities" : tf . FixedLenFeature ( [ 10 ] , dtype = tf . int64 ) , "instrument_source" : tf . FixedLenFeature ( [ 1 ] , dtype = tf . int64 ) , "instrument_family" : tf . FixedLenFeature ( [ 1 ] , dtype = tf . int64 ) , } example = tf . parse_single_example ( serialized_example , features ) return example