Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Training procedure too slow #84

Open
YaqiChang opened this issue Apr 7, 2024 · 1 comment
Open

Training procedure too slow #84

YaqiChang opened this issue Apr 7, 2024 · 1 comment

Comments

@YaqiChang
Copy link

YaqiChang commented Apr 7, 2024

Hi, thanks for the excellent work! But I have a question about training the model.
I try to flow the instruction and PyMAF's trainging guide to reimplement PyMAF-X' s training, but got to find the training procedure is very slow.
Some paras are as below:

NUM_WORKERS: 8
BAYCH_SIZE: 32

Ubder this circumanstence, the sigle epoch will take 90 mins
I didn't change any other parameters yet, I wonder I missed somthing or this procedure is just really slow.
The GPU I use for training is RTX4090, training on pose_resnet pretrained model and the base dataset is h36m-p2

@Keke061
Copy link

Keke061 commented Sep 27, 2024

Hi, thanks for the excellent work! But I have a question about training the model. I try to flow the instruction and PyMAF's trainging guide to reimplement PyMAF-X' s training, but got to find the training procedure is very slow. Some paras are as below:

NUM_WORKERS: 8
BAYCH_SIZE: 32

Ubder this circumanstence, the sigle epoch will take 90 mins I didn't change any other parameters yet, I wonder I missed somthing or this procedure is just really slow. The GPU I use for training is RTX4090, training on pose_resnet pretrained model and the base dataset is h36m-p2

您好,很抱歉我不能回答这个问题,冒昧打扰一下,请问您有h36m_mosh_train.npz这个文件吗,真的很需要,如果您愿意,我将非常非常感谢,我的邮箱是[1279882880@qq.com],感恩!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants