How many frames (seconds) are there in each video sample used in the training process? Is it the same as the output sample of the 4-second clip of 32 frames? What‘s the video length in the dataset used for your training? Did you directly use the complete video or slice the video?

Hi, First of all, great work in developing CogVideo. Could you please provide information on how many GPUs and how much duration it took to train the model? Thanks Gaurav

Thanks for the amazing work! can I check where does the demonstration dataset come from? Is there any part publicly available? thanks.

Hi authors, thanks for sharing the nice work. I'm very interested in it! Could you provide some information about the computational resources (e.g., how many A100 GPUs) needed to pre-train CogVideo on the 5.4M captioned videos and fine-tune it on UCF-101 and Kinetics-600?

In your description about the dual channel attention, you add the attention-base's and attention-plus's patches in the end. But as the orginal 3D Swin Attention, videos are divided into 3D patches, which is not suitable to add to 2D patches. Did you just divided frames into 2D patches and used the 3...

Hi ! I've read your paper. It's really a interesting job. Now I'm interested in the method you use in using pretrained weight from image model. I also want to try this method in my task. But It seems that your architecture is designed for autoregressive task, but I want to use it in a video classif...

作者您好，想问一下super-resolution这一步骤的意义和具体操作（在代码中我看到它是第二阶段的一部分），但是我在论文中没有找到对应的讲解。 谢谢。

You are fine.

Hi authors awesome work . how can I train my dataset ? Thank you