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[CUDA][cuBLASLt] Fix scale setting forallowFP16AccumulationCuBLAStrue case#153083
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pytorch-botbot commentedMay 7, 2025 • edited
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🔗 Helpful Links🧪 See artifacts and rendered test results athud.pytorch.org/pr/153083
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit167c4a6 with merge base590965f ( BROKEN TRUNK - The following job failed but were present on the merge base:👉Rebase onto the `viable/strict` branch to avoid these failures
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| cudaDeviceProp* prop =at::cuda::getCurrentDeviceProperties(); | ||
| if (prop->major >=7 &&at::globalContext().allowFP16AccumulationCuBLAS()) { | ||
| computeType = CUBLAS_COMPUTE_16F; | ||
| scaleType = CUDA_R_16F; |
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janeyx99 left a comment
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looks ok
eqy commentedMay 8, 2025
@pytorchmergebot merge |
pytorchmergebot commentedMay 8, 2025
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in thewiki. Questions? Feedback? Please reach out to thePyTorch DevX Team |
pytorchmergebot commentedMay 8, 2025
Merge failedReason: Command Details for Dev Infra teamRaised byworkflow job |
eqy commentedMay 8, 2025
@pytorchmergebot merge |
pytorchmergebot commentedMay 8, 2025
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in thewiki. Questions? Feedback? Please reach out to thePyTorch DevX Team |
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Also add some missing
@onlyCUDA/ support check decorators intest_matmul_cuda.pyShould helpresolve#151890
cc@ptrblck@msaroufim@jerryzh168@csarofeen@xwang233