In my docker container,UniAnimate_infer_long will be killed,Why?

[Pythonpa]

作者您好，我做了一个docker镜像，在容器运行时，能正常执行'python inference.py --cfg configs/UniAnimate_infer.yaml'并得到最终的驱动转化视频。

但是，如果运行'python inference.py --cfg configs/UniAnimate_infer_long.yaml'这个长视频的时候，在加载完模型之后，会直接被kill掉。请问是什么原因？触碰到内存瓶颈了？ 两个yaml配置中的分辨率都是[512, 768]，使用同一张参考图片和同一段动作序列。 我的显卡是3090 24G Hello, I have made a docker image. When the container is running, I can normally execute 'python inference.py -- cfg configs/UniAnimate_infer.yaml '，and get the final driver conversion video. However, if I run the long yaml file 'python inference.py -- cfg configs/UniAnimate_infer_long.yaml ', it will be killed directly after the model is loaded. What is the reason? Did I touch the memory bottleneck? The resolution in both yaml configurations is [512, 768], using the same reference picture and the same motion sequence. My VRAM is 24G 3090

And my base image is from Ubuntu 22.04 CUDA=12.1 Pytorch=2.2.2

[wangxiang1230]

Hi, maybe this can be attributed to the fact that your mem is not enough. You can use htop to monitor the used mem.

[Pythonpa]

Hi, maybe this can be attributed to the fact that your mem is not enough. You can use htop to monitor the used mem.

got it,will have another try