def demo():
with tf.Session(config=tf.ConfigProto(
allow_soft_placement=True,
log_device_placement=FLAGS.log_device_placement)) as sess:
# Create model and load parameters.
model = create_model(sess, forward_only=True)
decode_tools.demo(sess, model, FLAGS)
def demo(buckets=None):
with tf.Session(config=tf.ConfigProto(
allow_soft_placement=True,
log_device_placement=FLAGS.log_device_placement)) as sess:
# Initialize model parameters.
model = define_model(sess, forward_only=True, buckets=buckets)
decode_tools.demo(sess, model, FLAGS)
