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HYUNJS avatar HYUNJS commented on September 22, 2024
  • I have verified the code with P40, V100, rtx3090, and rtx2080ti.
  • Please note that with rtx3090, you cannot use the released docker image of cuda 10.1 since only cuda 11+ is supported by rtx3090. For the details please refer to INSTALL.md

from sgt.

Bian-666 avatar Bian-666 commented on September 22, 2024
  • I have verified the code with P40, V100, rtx3090, and rtx2080ti.
  • Please note that with rtx3090, you cannot use the released docker image of cuda 10.1 since only cuda 11+ is supported by rtx3090. For the details please refer to INSTALL.md

Thank you for your prompt reply,and how many rtx3090 did you use? I only have a single 3090.

from sgt.

HYUNJS avatar HYUNJS commented on September 22, 2024

A single rtx3090 may be insufficient to train with a batch size of 12. You can try with a smaller batch size (e.g., 8 or 10)

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