An error when I thied to use my .pth file

[wuaodi]

The difference between my model and resnet50 is only the last 3 layers，shown as below:

(avgpool): AdaptiveAvgPool2d(output_size=(1, 1))
(fc): Linear(in_features=2048, out_features=1000, bias=True)
)
(bottleneck): Sequential(
(0): AdaptiveAvgPool2d(output_size=(1, 1))
(1): Flatten(start_dim=1, end_dim=-1)
)
(head): Linear(in_features=2048, out_features=7, bias=True)

The error

  warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes "
Traceback (most recent call last):
  File "main_wad.py", line 236, in <module>
    main()
  File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "main_wad.py", line 206, in demo4
    probs, ids = gcam.forward(images)
  File "/content/grad-cam-pytorch/grad_cam.py", line 31, in forward
    self.logits = self.model(image)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 893, in _call_impl
    hook_result = hook(self, input, result)
  File "/content/grad-cam-pytorch/grad_cam.py", line 118, in forward_hook
    self.fmap_pool[key] = output.detach()
AttributeError: 'tuple' object has no attribute 'detach'

Thank you so much!