我想請問有什麼方法在python語法之下可以加速巢狀for迴圈的

def Compute(testdata,FAQ):
    scoreboard=[]
    for i in tqdm(range(1035)):
        encoded_dict1=tokenizer.encode_plus(
                    testdata[i][1],                    
                    add_special_tokens = True, 
                    max_length = 100,          
                    pad_to_max_length = True,
                    return_attention_mask = True,   
                    return_tensors = 'pt', 
                    truncation=True    
            )
        invector=model(encoded_dict1['input_ids'],encoded_dict1['attention_mask'],'cls')
    
        faq_score=[]
        for j in tqdm(range(5821)):
            encoded_dict2=tokenizer.encode_plus(
                        FAQ[j][2],                    
                        add_special_tokens = True, 
                        max_length = 100,          
                        pad_to_max_length = True,
                        return_attention_mask = True,   
                        return_tensors = 'pt',  
                        truncation=True   
                    )
            faqvector=model(encoded_dict2['input_ids'],encoded_dict2['attention_mask'],'cls')
            score=float(torch.cosine_similarity(faqvector,invector))
            faq_score.append([FAQ[j][1],score]) 
            #print(i,j) 
        scoreboard.append(faq_score)
    return scoreboard