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fradino avatar fradino commented on June 7, 2024 1

I fixed by change the torch version. Thank you for your response.

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G-U-N avatar G-U-N commented on June 7, 2024 1

Thanks a lot.

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G-U-N avatar G-U-N commented on June 7, 2024

Hi, this error might be (but not definitely) caused by the GPU memory overflow. The default batch size in the hike.yaml file is set to 3, which needs around 30 GB of memory for tuning. If your GPUs have smaller memory, you can try reducing the batch size slightly in the hike.yaml file. This should help with the memory issue. Let me know if you need further assistance!

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G-U-N avatar G-U-N commented on June 7, 2024

Could you tell me which version you just changed into? That might help me to inspect the potential problem in my requirements.yaml

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fradino avatar fradino commented on June 7, 2024

image
I followed this, but my cuda version is 11.7.
I reinstalled torch with cuda 11.7, the problem is fixed

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winshot-thu avatar winshot-thu commented on June 7, 2024

Hello,

I have been able to reproduce the issue you're encountering. The good news is that it can be resolved by compiling xformers from the source code. The new method for setting up the environment has been updated in the readme file. You can choose either cudatoolkit 11.7 or 11.6, both of them will work properly.

Let me know if there's anything else I can help you with.

Best regards.

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