pytorch AttributeError: ‘tuple‘ object has no attribute ‘dim‘

构建模型之后训练报错：

Traceback (most recent call last):
  File "/home/user1/alexnet_test.py", line 117, in <module>
    main()
  File "/home/user1/alexnet_test.py", line 89, in main
    train_loss, train_acc, train_bacc = train(model, optimizer, train_loader, criterion, weights=attrWeights)
  File "/home/user1/pjs/0fea/multiTaskCNN/mt_test/train.py", line 61, in train
    outputs = model(inputs)  # list, len = 40, every one is torch.Size([32, 2])
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward
    return self.module(*inputs[0], **kwargs[0])
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/user1/pjs/0fea/multiTaskCNN/mt_test/models/alexnet.py", line 73, in forward
    out = [tower(h_shared) for tower in self.towers]
  File "/home/user1/pjs/0fea/multiTaskCNN/mt_test/models/alexnet.py", line 73, in <listcomp>
    out = [tower(h_shared) for tower in self.towers]
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/modules/container.py", line 92, in forward
    input = module(input)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/modules/linear.py", line 92, in forward
    return F.linear(input, self.weight, self.bias)
  File "/home/user1/miniconda3/lib/python3.7/site-packages/torch/nn/functional.py", line 1404, in linear
    if input.dim() == 2 and bias is not None:
AttributeError: 'tuple' object has no attribute 'dim'

如果网上的答案都不能解决你的问题，比如：
1，self.avgpool = nn.AdaptiveAvgPool2d((6, 6))应该是这么写。而不是这么写：self.avgpool = nn.AdaptiveAvgPool2d(6, 6)
2，网络层的返回值包含了indices，因为你指定了pool层的 return_indices=True，可以改为： nn.MaxPool2d(kernel_size=3, stride=2, return_indices=False),

3, inception_v3
4, lstm
、、、等等
如果上述都不对，哥们，你可能在forward函数中多写了逗号。。导致了tuple的出现，比如下面这种**的错误：

 def forward(self, x):
        x = self.features(x), # the devil comma is here
        h_shared  = torch.flatten(x, 1) #　torch.Size([16, 9216])
        out = [tower(h_shared) for tower in self.towers]
        return out

我真是无语了，可能是copy paste造成的一个逗号费半天劲。。。