Lightning-AI / Lightning-AI/lightning-thunder
Implement `TensorBase.is_contiguous`
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- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 121
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Description
## 🚀 Feature
Implement [`TensorBase.is_contiguous`](https://pytorch.org/docs/stable/generated/torch.Tensor.is_contiguous.html)
### Motivation
NeMo [text-to-image model](https://github.com/NVIDIA/NeMo/blob/main/examples/multimodal/text_to_image/imagen/imagen_training.py).
cc @tfogal
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
Start by locating the TensorBase implementation and reviewing the linked PyTorch Tensor.is_contiguous documentation. Determine the repository's tensor layout and test entry points before implementing the method; done means TensorBase.is_contiguous reports contiguity consistently with the documented PyTorch behavior and passes the relevant tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- compilers, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100