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david-waterworth avatar david-waterworth commented on April 27, 2024

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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marcvanzee avatar marcvanzee commented on April 27, 2024

@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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levskaya avatar levskaya commented on April 27, 2024

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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