TypeError

[zhaobingbingbing]

When I run this code in python3.6
I met an error
'File "/home/user/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 33, in init
out_channels, in_channels // groups, *kernel_size))
TypeError: torch.FloatTensor constructor received an invalid combination of arguments - got (float, int, int, int), but expected one of:

• no arguments
• (int ...)
  didn't match because some of the arguments have invalid types: (float, int, int, int)
• (torch.FloatTensor viewed_tensor)
• (torch.Size size)
• (torch.FloatStorage data)
• (Sequence data)
  '
  Do you know how to fix it
  Thank you

[tengshaofeng]

@zhaobingbingbing , sorry for reply so late.
ok, it means that float is not supported, you can cast it to int before. In python2 int/int=int, but in python3 int/int=float , so that is the reason.

you can add int() for casting in ResidualBlock.