pytorch实现卷积注意力机制 cnn_attention模型_pytorch 最新的attention模块

模型图：

# -*- coding: utf-8 -*-
import pickle as pkl
from tqdm import tqdm
import networkx as nx
import numpy as np
import pandas as pd
import random
import itertools
import math
import gensim
import seaborn  as sns
from collections import Counter
from utils import *
from sklearn.metrics.pairwise import cosine_similarity
from gensim.models import Word2Vec
from gensim.models.word2vec import LineSentence
from collections import Counter
import networkx as nx
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
plt.rcParams['font.sans-serif']=['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False # 用来正常显示负号
import warnings
import argparse
warnings.filterwarnings('ignore')
from sklearn.metrics import confusion_matrix
from sklearn.model_selection im