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Comments (9)

lucasjinreal avatar lucasjinreal commented on May 26, 2024

Sorry, I can not reproduce. both pytorch 1.7 and 1.8 OK for me.
image
image

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leiwen83 avatar leiwen83 commented on May 26, 2024

nvcr.io/nvidia/pytorch:20.12-py3 this docker image could reproduce this error.

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austinmw avatar austinmw commented on May 26, 2024

@jinfagang I also get the same error with 1.8 recently, but works when downgrading to 1.7

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McDifference avatar McDifference commented on May 26, 2024

@jinfagang Same error with pytorch1.8

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lucasjinreal avatar lucasjinreal commented on May 26, 2024

@austinmw @McDifference That is weired. I tried pytorch 1.8 and it worked on my side. You can see my 2 different computer output message. Maybe 1.8.1 or 1.9 might help?

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Uio96 avatar Uio96 commented on May 26, 2024

@jinfagang Thanks a lot for your efforts. I have the same error with PyTorch 1.8.1 & cuda_11.1 on an RTX 3090.

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tdhcuong avatar tdhcuong commented on May 26, 2024

I also got the same problem! For the newest version of Pytorch (1.8.1+), they have moved away the THCBlas (pytorch/pytorch#49725) so the THCudaBlas_SgemmBatched, THCudaBlas_Sgemm cannot use anymore! I try the cuda code from this repository and compiled it successfully with PyTorch 1.8.1 & cuda_11.1 on an RTX 3070.

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lucasjinreal avatar lucasjinreal commented on May 26, 2024

I have updated and removed THCudaBlas_SgemmBatched

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AliRidaBahja avatar AliRidaBahja commented on May 26, 2024

I have updated and removed THCudaBlas_SgemmBatched

Hallo,
Can you share how you did that?

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