python - 有没有一种简单的方法可以删除大多数变量，但保留加载的数据用于正在进行的代码？

Question

情况是，有一个 for 循环运行了 100 次，共享相同的加载数据。随着每个单循环的进行，它会创建越来越多的变量，占用大量的内存资源，从而进一步降低运行速度。代码可以抽象地写为

data = sio.loadmat('very_big_data_set.mat')
for t in range(100):
    config = tf.ConfigProto(intra_op_parallelism_threads=1, inter_op_parallelism_threads=1)
    sess = tf.Session(graph=tf.get_default_graph(), config=config)
    var_1 = ...
    var_2 = ...


    var_10000 = ...
    model = ...

    sess.close()

    # The line below is a solution but it's very inconvinient
    del config, sess, var_1, ..., var_10000, model

我的问题是，是否有一个 python 命令可以用来删除 for 循环期间创建的所有变量，但保留下一个循环加载的数据？我知道方法 del config, sess, var_1, ..., var_10000, model 但它要求我列出我想要删除的所有变量。所以我正在寻找一种更简单的方法，有点像删除除数据之外的所有内容。

Answer 1

通常，如果您想使用使用完毕后需要清理的变量，尤其是重复使用它们时，编写函数是一个好主意:

def do_something(arg):
    # arg gets the same value as x (or points to the same thing)
    y = 10
    # now y exists, we can do do something with y and arg
    r = y + arg
    # now r, y and arg exist
    return r
    # once the function returns, arg no longer exists or references x
    # y and r are no longer referenced either and will no longer exist

for x in range(10)
    print(do_something(x))
    # here, y and r don't exist anymore, because the function has ended
# here, y and r don't exist, but x still does, since a loop variable sticks around
# capture all this in a function and call it and x would be cleaned up as well