在做中文文本情感分析model類定義的時候報錯如下：
有兩種可能：
1.重寫父類函數(shù)時，函數(shù)名稱寫錯，我將寫成了?最終導致程序報錯：文章來源：http://www.zghlxwxcb.cn/news/detail-627325.html
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class Model(nn.Module):
def __init__(self,config):
super(Model, self).__init__()
self.embeding = nn.Embedding(config.n_vocab, config.embed_size,padding_idx=config.n_vocab - 1)
self.lstm = nn.LSTM(config.embed_size, config.hidden_size,
config.num_layers,
bidirectional=True,batch_first=True,
dropout=config.dropout)
self.maxpool = nn.MaxPool1d(config.pad_size)
self.fc = nn.Linear(config.hidden_size * 2 + config.embed_size, config.num_classes)
self.softmax = nn.Softmax(dim=1)
def forword(self,x):
embed = self.embeding(x)
out,_ = self.lstm(embed)
out = torch.cat((embed,out),2)
out = F.relu(out)
out = out.permute(0,2,1)
out = self.maxpool(out).reshape(out.size()[0],-1)
out = self.fc(out)
out = self.softmax(out)
return out
if __name__ == "__main__":
from configs import Config
cfg = Config()
cfg.pad_size = 640
model_textcls = Model(config = cfg)
input_tensor = torch.tensor([i for i in range(640)]).reshape([1,640])
out_tensor = model_textcls.forward(input_tensor)
print(out_tensor.size())
print(out_tensor)
2.def forward函數(shù)與def __init__(self,config):一定要對齊。文章來源地址http://www.zghlxwxcb.cn/news/detail-627325.html
到了這里，關于NotImplementedError: Module is missing the required “forward“ function的文章就介紹完了。如果您還想了解更多內(nèi)容，請在右上角搜索TOY模板網(wǎng)以前的文章或繼續(xù)瀏覽下面的相關文章，希望大家以后多多支持TOY模板網(wǎng)！
