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adding 'with_cp' option to beit #1528
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Juse because the memory on readme is set By the way, I really want to support DDRNet in MMSegmentation but do not have too much time to do it, would you mind helping us making a PR to support it? Thanks in advance. |
Thanks for your interest. I am working on another program currently and will try to PR after finishing this. The 'cudnn_benchmark' has been set to 'True'. And setting 'with_cp' to 'True' indeed reduces the memory of some models under the same settings. |
Setting 'cuda_benchmark' to 'False' helps, thank you! But setting 'with_cp' to 'True' indeed reduces the memory of some models even though 'cuda_benchmark' is 'True'. |
OK, thats cool! Do you have clear time schedule about your current program? |
Maybe two or three months but not sure. |
Thanks for suggestion, and we will add |
* reorganize config folder structure * add runtime and schedule configs
The memory cost of beit backbone is huge and you didn't implement the 'with_cp' option to save the memory. However, I add it by myself and the gpu memory doesn't get smaller. Maybe my implement has some problem or there is any reason for this phenomenon?
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