Jiazheng_Xing

Results 5 issues of Jiazheng_Xing

You offered different training configs for different datasets. ![image](https://user-images.githubusercontent.com/77264390/209543821-e1bf4a88-4d48-4c12-b26b-b8ee235ef877.png) However, the same training config is used for all datasets in your code. ![image](https://user-images.githubusercontent.com/77264390/209544023-a8b4b10d-074c-4bb9-a8f2-22ec46fb2629.png) ![image](https://user-images.githubusercontent.com/77264390/209544102-07fa5e36-6e66-4388-94be-2dd09821e2a8.png) Which training config is right?

Can you show me the format of your training list and some details of your training?

When running the following command on two GPUs within the same node, it still only performs single-GPU training. Why is that? accelerate launch --num_processes=4 train.py --pretrained_model_name_or_path="CompVis/stable-diffusion-v1-4" --instance_data_dir=../path/to/dataset --output_dir=checkpoints --resolution=512 --train_batch_size=2...

When will the code be open sourced?

File "/slurm-files/ock/fsar_llava/fsar_llava/videollava/model/llava_arch.py", line 207, in prepare_inputs_labels_for_multimodal video_features_minibatch = self.encode_videos(videos_minibatch) # fake list [mini_b, t, l, c] RuntimeError: Expected all tensors to be on the same device, but found at least...