在做中文文本情感分析model类定义的时候报错如下：
有两种可能：
重写父类函数时，函数名称写错，我将
写成了
最终导致程序报错：
import torchimport torch.nn as nnimport torch.nn.functional as Fimport numpy as npclass 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 outif __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)def forward函数与def __init__(self,config):一定要对齐。
来源地址：https://blog.csdn.net/qq_52190828/article/details/129889333
