x,y,lb = train_data

features_placeholder = tf.placeholder(tf.float32, shape=[None,None],name="input_features")
labels_placeholder = tf.placeholder(tf.float32, shape=[None,1],name = "input_labels")

iterator = (tf.data.Dataset.from_tensor_slices((features_placeholder, labels_placeholder))
           .apply(sliding.sliding_window_batch(timestep=100, stride=1))
           .batch(10)
           .make_initializable_iterator()
           )
next_element = iterator.get_next(name="batch")
init_op = iterator.initializer
saveable = tf.contrib.data.make_saveable_from_iterator(iterator)