Comments (4)
As it's not documented I'm not sure if this is a bug or (not) working as intended:
jnp.exp(0) # 1.0
jax.jit(jnp.exp)(0) # 1.0
hk.jit(jnp.exp)(0) # IndexError: deque index out of range
Lmk if I should delete this comment and report it instead :)
from dm-haiku.
@sjmielke: Thanks for finding that! It fails because the hk.*
transforms assume that they run inside of hk.transform
right now, but there's no reason why they shouldn't work outside. I have a fix for this in #17.
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@sjmielke We anticipate that the situations in which you'd want to use hk.jit
or hk.grad
are limited! They exist as power user workarounds for a particular use cases. I regard them as much more alpha than the rest of Haiku.
Haiku presents a function, hk.transform
, which converts impure, object-oriented code with magic functions like hk.get_parameter
into JAX transform friendly pure functions.
However, sometimes we want to use JAX transformations inside of a monolithic chunk of Haiku code.
hk.{grad,jit,remat}
are exposed for these cases; in all other situations, prefer the JAX equivalent.
For hk.jit
:
- We recommend against jitting functions inside of
hk.transform
that create or use parameters.- If you can
jax.jit
the entirehk.transform(my_fn)
, do that! - If you can't, prefer to extract pure functions representing the expensive portions of your computation and JIT those.
- In the rare case in which neither of these are possible (e.g. data-dependent control flow that is hard to express with JAX XLA control flow tools, and is hard to break down from a code perspective), then we provide
hk.jit
as a workaround.
- If you can
For hk.grad
:
- If your model involves taking derivatives inside of your neural network, use
hk.grad
.
TODO: Add documentation for this stuff. Contributions welcome!
from dm-haiku.
We've made a start here with these two:
https://dm-haiku.readthedocs.io/en/latest/transforms.html
https://dm-haiku.readthedocs.io/en/latest/api.html#jax-transforms
Closing for now.
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Related Issues (20)
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