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CUDA kernel failed : no kernel image is available for execution on the device #10

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CNJianLiu opened this issue Dec 13, 2021 · 6 comments

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@CNJianLiu
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Hi, thank you for releasing such a wonderful job! But I got an error: "CUDA kernel failed : no kernel image is available for execution on the device" when both testing and training, I have checked my environment and did not find any problem.
Testing:
testing
Traing:
training
My environment settings:
1
Terminal checking:
2

@ray8828
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ray8828 commented Dec 22, 2021

Hi, how did you solve this issue? Thanks!

@ray8828
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ray8828 commented Dec 22, 2021

Oops, Seems like our slurm cluster issue

@CNJianLiu
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Oops, Seems like our slurm cluster issue

I am because of the environment error.
BTW: have you used your training model for testing? Does the training model similar to the authors' pre-trained model? There is still an issue #11

@njfugit
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njfugit commented Feb 28, 2022

译文

Hello, I want to know how to modify your environment. I also use 3090 graphics card and have the same problem. The CUDA and Torch versions I used may have issues.

@CNJianLiu
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译文

Hello, I want to know how to modify your environment. I also use 3090 graphics card and have the same problem. The CUDA and Torch versions I used may have issues.

Hi, I reinstalled the environment and installed 'cuda11.0.3 & pytorch1.7.0' to solve this problem.

@njfugit
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njfugit commented Mar 7, 2022 via email

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3 participants