(This is the private account of t-oda-ic)
/home/ubuntu7/anaconda3/ is my conda install dir.
I'm using a commercial subscription licensed version.
/data/disk0/alphafold_check/afm_refiner/ is where I cloned this repo.
Sorry for contamination of pip and pip3.
The following is the result of nvidia-smi.
Thu Dec 29 11:28:33 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.141.03 Driver Version: 470.141.03 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:01:00.0 On | N/A |
| 18% 44C P8 18W / 250W | 573MiB / 11019MiB | 10% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
The following is the command that I used to install. cudatoolkit==XXX and jaxlib==0.1.69+cudaXXX will depend on your system, I guess.
(This is the private account of t-oda-ic)
/home/ubuntu7/anaconda3/
is my conda install dir. I'm using a commercial subscription licensed version./data/disk0/alphafold_check/afm_refiner/
is where I cloned this repo. Sorry for contamination of pip and pip3.The following is the result of nvidia-smi.
The following is the command that I used to install. cudatoolkit==XXX and jaxlib==0.1.69+cudaXXX will depend on your system, I guess.