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• ROCm MI2xx CI/CD workflows failing due to : download from https://api.github.com/repos/pytorch/pytorch timed out.

❌ 6 New Failures, 1 Cancelled Job, 2 Unrelated Failures

As of commit 16f0823 with merge base 0e45023 ():

This comment was automatically generated by Dr. CI and updates every 15 minutes.

Build failure https://github.com/pytorch/pytorch/actions/runs/17279798745/job/49045542640?pr=161663, could be because AMI is still failing.

2025-08-27T22:19:25.1085821Z  if not exist "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin\nvcc.exe" (
2025-08-27T22:19:25.1086268Z echo CUDA 13.0 installed failed.  

@pytorchbot rebase

@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here

Successfully rebased cu130-win-build onto refs/remotes/origin/viable/strict, please pull locally before adding more changes (for example, via git checkout cu130-win-build && git pull --rebase)

Build failure with driver installation https://github.com/pytorch/pytorch/actions/runs/17330479439/job/49205072771

Installing GPU driver DLLs

7-Zip 25.01 (x64) : Copyright (c) 1999-2025 Igor Pavlov : 2025-08-03

Scanning the drive for archives:
1 file, 5127591 bytes (5008 KiB)

Extracting archive: C:\actions-runner\_work\pytorch\pytorch\pytorch\.ci\pytorch\windows\internal\\..\temp_build\gpu_driver_dlls.zip
--
Path = C:\actions-runner\_work\pytorch\pytorch\pytorch\.ci\pytorch\windows\internal\\..\temp_build\gpu_driver_dlls.zip
Type = zip
Physical Size = 5127591


Would you like to replace the existing file:
  Path:     C:\Windows\System32\nvcuda.dll
  Size:     3482736 bytes (3402 KiB)
  Modified: 2025-06-12 19:30:46
with the file from archive:
  Path:     nvcuda.dll
  Size:     17459864 bytes (17 MiB)
  Modified: 2019-11-14 22:47:12


Break signaled
? (Y)es / (N)o / (A)lways / (S)kip all / A(u)to rename all / (Q)uit? 
Cleaning temp files

Do we need to upload the Windows driver for CUDA 13.0, since CTK doesn't come with driver now.

** Starting with CUDA 13.0, the Windows display driver is no longer bundled with the CUDA Toolkit package. Users must download and install the appropriate NVIDIA driver separately from the official driver download page.
from https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html

Can use 580.88 https://www.nvidia.com/en-us/drivers/details/251576/?

@pytorchbot rebase

@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here

Successfully rebased cu130-win-build onto refs/remotes/origin/viable/strict, please pull locally before adding more changes (for example, via git checkout cu130-win-build && git pull --rebase)

@pytorchmergebot merge -f "all required workflows are passing"

Merge started

Your change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use -f as last resort and instead consider -i/--ignore-current to continue the merge ignoring current failures. This will allow currently pending tests to finish and report signal before the merge.

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