bernoulli.py 文件源码

def likelihood_ratio_sym(self, x_var, old_dist_info_vars, new_dist_info_vars):
        old_p = old_dist_info_vars["p"]
        new_p = new_dist_info_vars["p"]
        ndims = old_p.get_shape().ndims
        return tf.reduce_prod(x_var * new_p / (old_p + TINY) + (1 - x_var) * (1 - new_p) / (1 - old_p + TINY),
                              reduction_indices=ndims - 1)