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作者你好,非常感谢你的代码。我在训练和测试模型时发现显存的开销非常大,当crop_size设为128时,在3090(24GB显存)上batch_size最高仅能设为2。因此在这种情况下,测试时也会超出显存,即使降低feature的通道数(nl_feas)也依然存在显存开销巨大的问题。我看到您在文章中是用1080Ti跑的实验,想请教一下我的设定是否存在问题?您训练或测试时通常的显存开销是多大?谢谢!
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作者你好,非常感谢你的代码。我在训练和测试模型时发现显存的开销非常大,当crop_size设为128时,在3090(24GB显存)上batch_size最高仅能设为2。因此在这种情况下,测试时也会超出显存,即使降低feature的通道数(nl_feas)也依然存在显存开销巨大的问题。我看到您在文章中是用1080Ti跑的实验,想请教一下我的设定是否存在问题?您训练或测试时通常的显存开销是多大?谢谢!
The text was updated successfully, but these errors were encountered: