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JianghaoWu / SIFA-pytorch

a pytorch version for SIFA, Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
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Out of memory #3

Closed naku111 closed 1 week ago

naku111 commented 3 weeks ago

When I switched to my own dataset to run the experiment, I found that I needed more than 80 GB of running memory, and I don't know why it was so large. How about you when you run the experiment?

JianghaoWu commented 3 weeks ago

Please check your dataset, batch sites, image size and 2D or 3D. For my experiments, 10 gb is enough to run.

When I switched to my own dataset to run the experiment, I found that I needed more than 80 GB of running memory, and I don't know why it was so large. How about you when you run the experiment?

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naku111 commented 3 weeks ago

Please check your dataset, batch sites, image size and 2D or 3D. For my experiments, 10 gb is enough to run. When I switched to my own dataset to run the experiment, I found that I needed more than 80 GB of running memory, and I don't know why it was so large. How about you when you run the experiment? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>

Thanks