#šŸš€CODE FOR HARDWARE: ROCm ChallengešŸš€

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balmy hazel
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We’re kicking off a fun (and very real) way to turn open-source contributions into hardware rewards.
AMD is giving away 20 Strix Halo laptops (128GB) to developers who help squash bugs in the PyTorch or vLLM ROCm backlogs.

Here’s how it works:

  • Pick issues from the PyTorch or vLLM ROCm backlogs
  • Submit and merge 10 PRs
  • Post your merged PRs to claim a Strix Halo 128GB laptop

Start squashing šŸ›

No fluff. Just code, impact, and serious hardware. Let’s build. šŸ’»

pliant garnet
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I love this challenge, it's great. Baked five PRs, one's merged so far (others are going) and resolved 13 issues, are we expected to make 10 PRs no matter the size or resolve 10 ISSUES instead? Just wanted to clarify

pliant garnet
naive pike
pliant garnet
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GitHub

This PR enables 4 tests that verify device-side assertion behavior on ROCm.
Background
ROCm can be built with TORCH_USE_HIP_DSA=1 to enable proper device-side assertions. Without this flag, ROCm ra...

GitHub

ROCm has supported CUDA graphs in some capacity since ROCm 4.5.2 and absolutely seems to support it now. Remove the TEST_WITH_ROCM exclusion from graph tests that now pass. test_graph_timing is muc...

pliant garnet
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Never mind, in touch with Anush about it, all's well - thanks again for this great contest!

pastel galleon
empty hornet
inland slate
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Got TRELLIS.2 running end-to-end on my 9070 XT — full textured GLB export at 512 and 1024.

Also found a platform bug while working on this: torch.mm produces data-dependent NaN when input exceeds ~500K rows on gfx1201. Same data computes correctly in 100K chunks or on CPU. Will file on the ROCm repo with a reproducer.