每当我运行Tf.map时，即使使用的功能与Tf.Data教程中使用的功能非常相似，也会出现错误： self._traceback = tf_stack.extract_stack（）

代码：

import numpy as np
import glob
data = "*data\\*training\\*\\*"
filelist = tf.data.Dataset.list_files(str(data))

classes = ('item0','item1','item2','item3')
def generator(file):
    f = tf.io.read_file(file)
    f = tf.image.decode_jpeg(f)
    f = tf.image.rgb_to_grayscale(tf.image.resize(f,size = [28,28,3]))
    l = file.split('\\')
    l = l[2]
    l_label = classes.index(l)
    r1 = tf.constant(l_label)
    r2 = f
    return r1,r2 

def runmodel():
    dataset = filelist.map(todataset)

def todataset(file):
    with tf.compat.v1.Session() as session:
        file = file.eval(session=session)
        print("I got here" + file)
        session.close()
    push_to_array1,push_to_array2 = generator(file.eval(session=session))
    return(push_to_array2,push_to_array1)


runmodel()