（1）进行了函数内容缩进（2）加上了alpha前面忘加的self.（3）loss的求和方式增加了一种batchsize方式 #21
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您的代码真的非常好，简洁易懂，教程详细，非常感谢您的无私分享，但是我运行时注意到代码尚且存在两点小问题【（1）与（2）】所以特此发起了Pull 请求
（1）def forward(self, preds, labels):函数中的内容您忘了缩进了
（2）第45行： alpha = self.alpha.to(preds.device)忘记在alpha前面加上self了，使用cuda时会报错--alpha和label不在一个设备上。
（3）原先的loss返回方式只有sum和mean两种，我新增加了一种batch_size方式。