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bumping this up. @cgarciae perhaps you have some insights? |
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In torch you can repeat/broadcast an
nn.Param
and use it for further processing. This is useful for trainable initialization states of LSTMs and latent variable models. And even in the case of masked auto encoders (although no repetition occurs there).How can I repeat a
nnx.Param
type using einops or jnp#tile or jnp#repeat before using it innnx.Scan
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