Comments (1)
Yes, A6000 should be fine. In fact, I have tested the code on A6000.
The code with improved diffusion APIs (used for CIFAR10) already supports data parallelism by default. It will spread the data across all available GPUs automatically.
You can try decreasing the batch size (e.g.,
) till the point that does not raise OOM error.from dpsda.
Related Issues (4)
- FutureWarning: Passing `image` as torch tensor with value range in [-1,1] is deprecated. HOT 2
- Out of Memory Error on A100 40GB GPUs with main_improved_diffusion_cifar10_conditional.sh and main_improved_diffusion_cifar10_conditional.sh HOT 5
- Error When `variation_degree_schedule` Value Exceeds 10 HOT 1
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from dpsda.