Web总结 pytorch 中使用神经网络进行多分类时,网路的输出 prediction 是 one hot 格式,但计算 交叉熵损失函数时,loss = criterion(prediction, target) 的输入 target 不能是 one hot … Web11 iun. 2024 · pytorch报错:multi-target not supported at. 在使用交叉熵损失函数的时候,target的形状应该是和label的形状一致或者是只有batchsize这一个维度的。. 如 …
RuntimeError: multi-target not supported at - 一直在路上的菜鸡
Web6 mai 2024 · If your target is one-hot encoded, use target = torch.argmax (target, 1) to create the expected target with the class indices. 1 Like mustafa_emre_dos (mustafa emre döş) May 7, 2024, 6:54am #3 I solved the size problem. but I have 6 classes in total. hence, he expects target efficiency to be at [10,6,256,256] dimensions. Web6 feb. 2024 · 1. load模型参数文件时,提示torch.cuda.is_available () is False。 按照pytorch官方网页又安装了一次pytorch,而不是直接使用清华源,执行pip install torch,暂时不知道为什么。 2. 使用CrossEntropyLoss时,要求第一个参数为网络输出值,FloatTensor类型,第二个参数为目标值,LongTensor类型。 否则 需要在数据读取的迭代其中把target … fliff promo
Error in nll_loss - multi-target not supported #3670
Web5. 还是使用交叉熵损失函数报错:multi-target not supported at C:\w\1\s\windows\pytorch\aten\src\THNN/generic/ClassNLLCriterion.c:21 原因是torch.nn.CrossEntropyLoss ()接受的目标值必须是类标值,而不是one-hot编码,将目标值改为类标值即可。 发布于 2024-03-09 20:15 分享 喜欢 申请转载 Web18 oct. 2024 · “multi-target not supported” generally means that the target that you’re passing to the criterion function (in this case, CrossEntropyLoss) is 2 or more dimensions. CrossEntropyLoss requires a target that is 1 dimensional. If target.size () is something like (1, N) you can make it one-dimensional by doing something like target = target.view (-1). Web9 aug. 2024 · Please check your pytorch version. Please refer to the example of using the UTF101 top5 dataset, which is available on my Colab. The version of pytorch is … chemetall naftoseal