Comments (3)
I think this is a good idea. I tend to provide my own initialize_carry function, this could be one of
- Constant
- Learnable
- Another model which attempts to predict x0 from previous inputs and outputs
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@bastings has done some experiments on this issue and they had some insights that I think would be useful to share here. I've assigned this issue to them.
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Closing this issue as the old nn
library is deprecated and we hopefully have a better pattern here in the newer "linen" api:
Just define a non-static initialize_carry
e.g. def initialize_carry(self, rng, batch_dims, size, init_fn=zeros):
in linen and it will have access to the Module constructor args on self
.
Please feel free to re-open (or better make a new issue) pertaining to any perceived deficiency in linen's RNN utils.
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