the questions about gpu
hero-y opened this issue · 1 comments
hero-y commented
Hello, the densereppoint is good work. Can you tell me which GPU do you use in the configs "dense_reppoints_729pts_r50_fpn_1x". I want to use 2080ti GPU to train, but it shows that it doesn't have enough capacity, so how can I modify the configs to achieve the same result with origin parameters, and which GPU do you use?Thank you!
justimyhxu commented
Hi,
Our experiments are conducted on 8 V100 GPUS, but recently I also reproduced the reported results on my Titan-X machine, whose memory is nearly as same as 2080ti. If it doesn't have enough capacity for your 2080ti machine, you can add with_cp=True
to the backbone config for saving memory.
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
with_cp=True,
style='pytorch')