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Thanks for releasing codes, which helps me learn the field. I encounter several issues and do not know how to fixed them. It is appreciated if you could give some help.
For the training of RLBench:
Following your training instruction "python3 train.py config=./configs/arp_plus.yaml hydra.job.name=arp_plus train.num_gpus=2 train.bs=96", Two warning appear as shown in the figure attached. Do you have any idea to deal with them>
For the RLBench evaluation:
Since I use miniconda to manage different environments, it do not have the file 'sysroot' in "$HOME/anaconda/x86_64-conda-linux-gnu/". What should I do to run RLBench on a Headless Server without Sudo as shown in the image? If I have sudo permission, what should I do to run RLBench on a remote server?
The text was updated successfully, but these errors were encountered:
For the warnings, I just confirmed that I also encountered them. They seem to come from the MVT backbone and shall not affect training.
The conda install anaconda:: xorg-x11-server-xvfb-cos6-×86_64 command creates the sysroot folder in the server I use, if it does not in yours, you can try:
option-1: try $H/anaconda3/x86_64-conda_cos6-linux-gnu or similar paths
option-2: run find . | grep Xvfb in folders like x86_64-conda-linux-gnu, as conda may store the executable in other paths
If you have sudo, then things should become easy. You can run sudo apt install xorg to install an x server, set DISPLAY=:0 environment variables, and then run the evaluation in headless mode.
For the warnings, I just confirmed that I also encountered them. They seem to come from the MVT backbone and shall not affect training.
The conda install anaconda:: xorg-x11-server-xvfb-cos6-×86_64 command creates the sysroot folder in the server I use, if it does not in yours, you can try:
option-1: try $H/anaconda3/x86_64-conda_cos6-linux-gnu or similar paths
option-2: run find . | grep Xvfb in folders like x86_64-conda-linux-gnu, as conda may store the executable in other paths
If you have sudo, then things should become easy. You can run sudo apt install xorg to install an x server, set DISPLAY=:0 environment variables, and then run the evaluation in headless mode.
Dear authors,
Thanks for releasing codes, which helps me learn the field. I encounter several issues and do not know how to fixed them. It is appreciated if you could give some help.
Following your training instruction "python3 train.py config=./configs/arp_plus.yaml hydra.job.name=arp_plus train.num_gpus=2 train.bs=96", Two warning appear as shown in the figure attached. Do you have any idea to deal with them>
Since I use miniconda to manage different environments, it do not have the file 'sysroot' in "$HOME/anaconda/x86_64-conda-linux-gnu/". What should I do to run RLBench on a Headless Server without Sudo as shown in the image? If I have sudo permission, what should I do to run RLBench on a remote server?
The text was updated successfully, but these errors were encountered: