Comments (2)
Berndinio
commented on July 1, 2024
Because they split it afterwards in
cc_i, cc_f, cc_o, cc_g = torch.split(combined_conv, self.hidden_dim, dim=1)
f, g, o and g all have the same convolution operation (but with independent weights).
If you have a hidden.channel + x.channel = 4 input
from convlstm_pytorch.
ndrplz
commented on July 1, 2024
Thanks @Berndinio
Also this answer might help
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