I have two Sequentials
 else:

           in_rgb = nn.Sequential(
           Conv(3, 32,1),
           Conv(3, 64,2),
           Bottleneck(64, 64)
         )
           print("in_rgb",in_rgb)


           in_ther = nn.Sequential(
           Conv(3, 32, 1),
           Conv(3, 64,2),
           Bottleneck(64, 64)
         )
           print("in_ther",in_ther)


           out = torch.nn.Sequential(in_rgb,in_ther)

           print("out1",out) 

          # b = torch.Tensor(s_cat)
           
         

           #out = torch.cat((in_rgb, in_ther), dim=1)
           #out = torch.cat((out,m), dim=1)
          # out = torch.nn.Sequential(*(list(b)),m)

           return self.forward_once(out, profile)  # single-scale inference, train

when i run my code i have error
Traceback (most recent call last):
  File "train.py", line 622, in <module>
    train(hyp, opt, device, tb_writer, wandb)
  File "train.py", line 79, in train
    model = Model(opt.cfg or ckpt['model'].yaml, ch=6, nc=nc).to(device)  # create
  File "/content/drive/My Drive/yolov3_v0/models/yolo.py", line 98, in __init__
    m.stride = torch.tensor([s / x.shape[-2] for x in self.forward(torch.zeros(1, 3, s, s),torch.zeros(1, 3, s, s))])  # forward
  File "/content/drive/My Drive/yolov3_v0/models/yolo.py", line 170, in forward
    return self.forward_once(out, profile)  # single-scale inference, train
  File "/content/drive/My Drive/yolov3_v0/models/yolo.py", line 186, in forward_once
    out = m(out)  # run
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/content/drive/My Drive/yolov3_v0/models/common.py", line 37, in forward
    return self.act(self.bn(self.conv(x)))
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py", line 399, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py", line 396, in _conv_forward
    self.padding, self.dilation, self.groups)
TypeError: conv2d(): argument 'input' (position 1) must be Tensor, not Sequential

So i think i should cast Sequential to Tensor.