def AddGaussianNoise(t, sigma, name=None):
 with tf.op_scope([t, sigma], name, 'add_gaussian_noise') as name:
  noisy_t = (t + tf.random_normal(tf.shape(t), stddev=sigma))
 return noisy_t

def AddGaussianNoise ( t , sigma , name = None ) : with tf . op_scope ( [ t , sigma ] , name , 'add_gaussian_noise' ) as name : noisy_t = ( t + tf . random_normal ( tf . shape ( t ) , stddev = sigma ) ) return noisy_t
add i .