Lightning-AI / Lightning-AI/lightning-thunder
Implement VJP for `python_print`
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- Dominant language
- Python
- Stars
- 1.5k
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Description
🚀 Feature
Motivation
Enable debugging
Pitch
import torch
import thunder
from thunder.core.prims import python_print
def fn(x):
y = x + 2
python_print(y)
return y
x = torch.randn(2, requires_grad=True)
cfn = thunder.jit(fn)
y = cfn(x)
NotImplementedError: VJP for PrimIDs.PRINT is not implemented
Contributor guide
No contributing guide indexed for this repository
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 at thunder.core.prims.python_print and trace the VJP dispatch that reports PrimIDs.PRINT as unimplemented. Use the provided thunder.jit example to verify that the printed value still works with a tensor requiring gradients and that the VJP error no longer occurs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- compilers, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100