NVIDIA / NVIDIA/cutile-python

[FEA]: Random Number Generation

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dep: cuda-tileir feature request
Dominant language
Python
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Description

Is this a new feature, an improvement, or a change to existing functionality?

New Feature

How would you describe the priority of this feature request?

Critical (currently preventing usage)

Please provide a clear description of problem this feature solves

I searched in the documentation for random number generation functions but have not found any so far.

As a reference, see Triton's API: https://triton-lang.org/main/python-api/triton.language.html#random-number-generation

Feature Description

One usage example is to create noise shaped with the size of the tiles. E.g for gumbel-max sampling.

Describe your ideal solution

The Triton API is a good starting point.

Describe any alternatives you have considered

No response

Additional context

No response

Contributing Guidelines
  • I agree to follow cuTile Python's contributing guidelines
  • I have searched the open feature requests and have found no duplicates for this feature request

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No repository files, tests, or entry points are named in the issue. Start by reviewing the Triton random-number-generation API linked in the request and the cuTile Python public API to determine the supported interface and tile-shape semantics. Done means cuTile exposes random generation suitable for noise shaped to tile sizes, with documented behavior and tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend-api-design
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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