import tensorflow as tf

				target_placeholder = tf.placeholder(tf.int32, shape=(None, None, 1), name='audio_targets')
				target_type = tf.int32

			self._placeholders = [
			input_placeholder,
			target_placeholder,
			tf.placeholder(tf.int32, shape=(None, ), name='input_lengths'),
			]

			queue_types = [tf.float32, target_type, tf.int32]

			if self.local_condition:
