[QST] TMA / CuTe 1D "im2col"
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Description
What is your question?
Is there a way to use TMA / CuTe to perform that following load pattern:
Starting with this 1-D tensor,
[1, 2, 3, 4]
I'd like to load the following 2-D tensor in smem without materializing in gmem:
[
[4, 0, 0, 0]
[3, 4, 0, 0]
[2, 3, 4, 0]
[1, 2, 3, 4]
]
The 2-D tensor will always be square, with dim0==dim1 >= dim of original 1-D tensor.
More generally, there will be N 1-D tensors in gmem:
[
[1, 2, 3, 4]
[5, 6, 7, 8]
...
]
Each of which will be expanded to 2-D tensors (each threadblock indexing one such 2-D tensor)
in smem:
[
[4, 0, 0, 0]
[3, 4, 0, 0]
[2, 3, 4, 0]
[1, 2, 3, 4]
]
[
[8, 0, 0, 0]
[7, 8, 0, 0]
[6, 7, 8, 0]
[5, 6, 7, 8]
]
This is similar to im2col for 4D image tensors, but in this case we're starting with 1-D tensors.
@thakkarV @Ethan-Yan27 @ccecka
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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 file, test, or entry point is named. Start by identifying the existing TMA/CuTe transfer entry points relevant to the requested expansion; done means a maintainer-confirmed answer about whether this pattern is expressible, with any required implementation scope made explicit.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100