是否可以按类型对tensorflow标志进行分组并从它们生成字符串？

import tensorflow as tf

tf.flags.DEFINE_boolean("is_training", True, "Whether the model is in training mode")

flags = tf.flags.FLAGS
flag_values = flags.flag_values_dict()

bool_flags = [flag for flag in flag_values if isinstance(flag_values[flag], bool)]
bool_flags_string = ", ".join(["{}={}".format(flag, flag_values[flag]) for flag in bool_flags])
print("Boolean flags: {}".format(bool_flags_string))

import tensorflow as tf

tf.flags.DEFINE_integer("batch_size", 32, "Batch size for training")

flags = tf.flags.FLAGS
flag_values = flags.flag_values_dict()

int_flags = [flag for flag in flag_values if isinstance(flag_values[flag], int)]
int_flags_string = ", ".join(["{}={}".format(flag, flag_values[flag]) for flag in int_flags])
print("Integer flags: {}".format(int_flags_string))

import tensorflow as tf

tf.flags.DEFINE_float("learning_rate", 0.001, "Learning rate for training")

flags = tf.flags.FLAGS
flag_values = flags.flag_values_dict()

float_flags = [flag for flag in flag_values if isinstance(flag_values[flag], float)]
float_flags_string = ", ".join(["{}={}".format(flag, flag_values[flag]) for flag in float_flags])
print("Float flags: {}".format(float_flags_string))

import tensorflow as tf

tf.flags.DEFINE_string("data_dir", "./data", "Directory containing the input data")

flags = tf.flags.FLAGS
flag_values = flags.flag_values_dict()

str_flags = [flag for flag in flag_values if isinstance(flag_values[flag], str)]
str_flags_string = ", ".join(["{}={}".format(flag, flag_values[flag]) for flag in str_flags])
print("String flags: {}".format(str_flags_string))