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Thank you for releasing your model code! I am really appreciating it.
I am trying to train FlowFormer on FlyingThings3D dataset, but even with batch size reduced to 1 and enabling --mixed_precision I keep getting CUDA out of memory errors.
I am using NVIDIA Titan GPUs which have 12 GiB memory. Is there a way to further reduce memory usage such that I can train on these GPUs without using the flowformer-small model?
The text was updated successfully, but these errors were encountered:
Thank you for releasing your model code! I am really appreciating it.
I am trying to train FlowFormer on FlyingThings3D dataset, but even with batch size reduced to 1 and enabling --mixed_precision I keep getting CUDA out of memory errors.
I am using NVIDIA Titan GPUs which have 12 GiB memory. Is there a way to further reduce memory usage such that I can train on these GPUs without using the flowformer-small model?
The text was updated successfully, but these errors were encountered: