Sure, I tried to summarize everything:
When I tried to print the shape of c and f I got

torch.Size([2, 1024])
print(f.shape)
AttributeError: ‘InceptionOutputs’ object has no attribute ‘shape’

so I tried
   def forward(self, input1, input2):
     c = self.model1(input1)
     f = self.model2(input2) 
     print(c.shape)
     l, ll= f
     print(l.shape)
     combined = torch.cat(c,torch.Tensor(f), dim=1) 
     out = self.fc2(combined)
     return out

and got

torch.Size([2, 1024])
torch.Size([2, 1024])
combined = torch.cat(c,torch.Tensor(f), dim=1)

ValueError: only one element tensors can be converted to Python scalars

then I tried
  def forward(self, input1, input2):
    c = self.model1(input1)
    f = self.model2(input2) 
    print(c.shape)
    l, ll= f
    print(l.shape)
    combined = torch.cat(c,torch.Tensor(l), dim=1)
    out = self.fc2(combined)
    return out

the code did not run at all and it did not return any error
runfile('D:/Face Beauty Pytorch/transfer_learning_inception_resnet50_regression.py', wdir='D:/Face Beauty Pytorch')
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