CUDA out of memory

[leno0903]

1080Ti * 4， batch_size = 4
RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.92 GiB total capacity; 10.09 GiB already allocated; 5.00 MiB free; 19.09 MiB cached)

[weizizhuang]

At least 18G memory is required for training phase, our models are trained on 24G Titan X graphical cards.
If you only have 12G 1080Ti graphical cards, I suggest you to decrease the settings for training, e.g. number of plane sweep, number of neighbor views in train.sh.

[leno0903]

thank you

[agenthong]

At least 18G memory is required for training phase, our models are trained on 24G Titan X graphical cards.
If you only have 12G 1080Ti graphical cards, I suggest you to decrease the settings for training, e.g. number of plane sweep, number of neighbor views in train.sh.

But it's said that there is 6.6G consumed with 1200*1600 images input in the paper.

[leno0903]

It's test stage

…

------------------ 原始邮件 ------------------ 发件人: ***@***.***>; 发送时间: 2021年5月18日(星期二) 晚上6:49 收件人: ***@***.***>; 抄送: ***@***.***>; ***@***.***>; 主题: Re: [yhw-yhw/D2HC-RMVSNet] CUDA out of memory (#8) At least 18G memory is required for training phase, our models are trained on 24G Titan X graphical cards. If you only have 12G 1080Ti graphical cards, I suggest you to decrease the settings for training, e.g. number of plane sweep, number of neighbor views in train.sh. But it's said that there is 6.6G consumed with 1200*1600 images input in the paper. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[agenthong]

It's test stage
…
------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2021年5月18日(星期二) 晚上6:49 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [yhw-yhw/D2HC-RMVSNet] CUDA out of memory (#8) At least 18G memory is required for training phase, our models are trained on 24G Titan X graphical cards. If you only have 12G 1080Ti graphical cards, I suggest you to decrease the settings for training, e.g. number of plane sweep, number of neighbor views in train.sh. But it's said that there is 6.6G consumed with 1200*1600 images input in the paper. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

Thanks, how much memory consumed if batchsize is 1