trainer.py 文件源码

def get_initializer(params):
    if params.initializer == "uniform":
        max_val = params.initializer_gain
        return tf.random_uniform_initializer(-max_val, max_val)
    elif params.initializer == "normal":
        return tf.random_normal_initializer(0.0, params.initializer_gain)
    elif params.initializer == "normal_unit_scaling":
        return tf.variance_scaling_initializer(params.initializer_gain,
                                               mode="fan_avg",
                                               distribution="normal")
    elif params.initializer == "uniform_unit_scaling":
        return tf.variance_scaling_initializer(params.initializer_gain,
                                               mode="fan_avg",
                                               distribution="uniform")
    else:
        raise ValueError("Unrecognized initializer: %s" % params.initializer)