Comments (3)
Hi @kmheckel , thank you for letting us know. I believe that at HEAD we have made all of these required changes.
In general since Haiku is developed inside Google's monorepo (and mirrored live to GitHub) these sort of renames are typically handled automatically for us.
Are you having issues with Haiku + JAX 0.4.14? Can you paste the error message if so?
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@tomhennigan Sorry about the delay, dm-haiku 0.0.10 fixed my issue. When I had tried updating haiku right before hitting the error I had it was because PyPI only had 0.0.9 which didn't have the fix.
Thanks!
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Thanks for letting us know 😄
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Related Issues (20)
- More fine-grained mixed-precision configuration HOT 2
- Suggestion: alias `Transformed`(WithState) apply to __call__ HOT 2
- Is there a way to load parameters from Flax model? HOT 2
- Support model examples HOT 7
- Warning: hk.LayerNorm when used in transformer decoder causes violation of autoregressive property HOT 1
- Reservoir Computing with Haiku
- Efficiency difference in using jax.lax.fori_loop vs looping over identical layers? HOT 2
- Please publish requirements.txt fix to pip
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- hk.Conv2DTranspose takes FOREVER to initialize and compile HOT 1
- 0.4.16 timeline HOT 2
- How to export haiku network parameters into Pytorch network?
- Modules got silently "reused" with `hk.vmap` HOT 2
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- Direct Feedback Alignment
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- `haiku.experimental.flax` is not part of newest pip release HOT 1
- Train multiple hk.nets.MLP with one optimizer HOT 2
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