我尝试通过在GPU上运行代码来优化代码，但是遇到以下错误。
另外，我对此还很陌生，所以我几乎不知道如何使用numba装饰器，而我的目标是加快程序执行速度。

ValueError: cannot determine Numba type of <class 'collections.defaultdict'>

@jit(target = "cuda")
def initialize(foreign_no_of_words,foreign_l,english_l,num_dict_dutch,num_dict_eng):
    probabilities = {} # Initializing proablities
    #count = {} # Count
    counter = 1
    index = -1*(foreign_no_of_words)

    num_dict_dutch = make_dict_dutch(foreign_l,num_dict_dutch)

    for i in english_l.keys():
        for j in foreign_l.keys():
            s = i+"_"+j
            probabilities[s] = 1/foreign_no_of_words

            #count[s] = 0

        index = write_to_file(probabilities,i,counter,PROB_FILE,foreign_no_of_words,index,num_dict_eng)
        #write_to_file(count,COUNT_FILE)
        counter +=1
        probabilities ={}

    return True

目标是减少功能运行时间。