Lightning-AI / Lightning-AI/lightning-thunder
Non-supported diffusion transformer operators
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- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 121
- PR merge metrics
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Description
```python
TensorBase.bfloat16
_set_grad_enabled of torch._C
_VariableFunctionsClass.empty of torch
TensorBase.long
TensorBase.type
TensorBase.__setitem__
_VariableFunctionsClass.lerp of torch
device of torch
TensorBase.clone
TensorBase.masked_fill_
TensorBase.get_device
TensorBase.grad_fn
_VariableFunctionsClass.linspace of torch
```
cc @apaz-cli
Contributor guide
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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
No files, tests, or entry points are named. Start by tracing how the listed PyTorch operators are reported as unsupported and checking existing operator-support tests; done means the listed operators are supported with coverage for their behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- compilers
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100