mcmc_sampler.py 文件源码

def model_chain_from_position(cls, chains_num, layer_descriptions, position_tensor, input_tensor):
        """ Creates multiple-chain model from the specified position and description. """
        positions = tf.split(0, chains_num, position_tensor)

        m = []
        for i in range(chains_num):
            m.append(cls.model_from_position(layer_descriptions, positions[i], input_tensor))

        models = tf.pack(m)

        return models