tensorflow / tensorflow/probability
[oryx] harvest after grad
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Description
Hi tensorflow probability team!
I was using the oryx library that is maintained in this repo, following an issue from JAX https://github.com/google/jax/issues/3936#issuecomment-668954244.
I am wondering if there is a way to harvest/reap with a grad nested inside, and get the gradient values instead of the primal values. e.g.
import oryx
reap = oryx.core.reap
sow = oryx.core.sow
def f(x):
return sow(x ** 3, tag="test", name="x3") + 1
print(reap(grad(f), tag="test"))
# out: {'x3': DeviceArray(1., dtype=float32)}
# how can we get (something similar to) {'x3': DeviceArray(3., dtype=float32)} ?
Will nest help here?
Thanks!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the Oryx reap/sow and grad example in the issue, then investigate whether nested transformations can expose gradient values rather than primal values. Done means determining whether this behavior is supported and, if not, documenting the required API or implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100