Comments (3)
kaonashi-tyc
commented on May 22, 2024
No, your GPU doesn't have enough VRAM to allocate thus it will directly fail, it won't make the model slower.
你的GPU显存不足，这种情况会直接挂掉，要运行训练程序请保证有6GB左右的显存
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stanlly9
commented on May 22, 2024
Hi, if we accept to release some performance/loss rate, is there possible to reduce the VRAM usage to around 2GB? (Using NV GTX-960 on local since Google Colab might not guarantee VRAM)
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roytam1
commented on May 22, 2024
I wonder if CUDA unified memory can fill the gap?
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Related Issues (20)
- Re-train the dataset with even more fonts HOT 9
- what's the parser? HOT 1
- How to carry out to keep training from lastest checkpoint
- about font2image.py HOT 1
- how to pretrain
- 如何训练 HOT 4
- 兄弟 你训练了多久 我这16g+1080ti+i7 训练了30个小时了还没出结果
- const_loss is large! 训练时const_loss太大怎么办。。。 HOT 1
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- What does the src_font and dst_font each represent?
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