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TL,DR. Will RFdiffusion only install Pytorch-CPU in the environment witout GPU and CUDA? I have solved my problems, and RFdiffusion works well in my study. However, I am very confused about this issue.
I have two environments to work on RFdiffusion.
First environment: In my local desktop computer, windows 10 system, as follows, I installed RFdiffussion by strictly following steps and everything works well. I got the Pytorch version is pytorch 1.9.1 py3.9_cuda11.1_cudnn8_0 pytorch .
Simply speaking, Pytorch-GPU version is installed in the environment with GPU.
Second environment: In the remote server, linux system, I have login accession who has CPU only and internet to use conda install. At this time, I also installed RFdiffusion by strictly following steps, but I find the pytorch is cpu, see pytorch 1.9.1 cpu_py39hc5866cc_3 defaults.
Simply speaking, only Pytorch-cpu is installed in the environment only with CPU, although I followed the total same installation steps.
In this remote server, linux system, I also have GPU accession who has GPU but no internet to use conda install. Therefore, when I run RFdiffusion in the remote GPU environment, RFdiffussion doesn't work due to Pytorch-CPU. Therefore, I have to uninstall the Pytorch-CPU and then reinstall Pytorch-GPU.
I feel confused, why Pytorch-CPU is installed in the environment without GPU, but Pytorch-GPU is installed in the environment with GPU, although the installation steps are totally same. Is it because the installation will detect environment by itself and decide to install CPU version or GPU version according to the environment by itself?
Thanks very much!
The text was updated successfully, but these errors were encountered:
TL,DR. Will RFdiffusion only install Pytorch-CPU in the environment witout GPU and CUDA? I have solved my problems, and RFdiffusion works well in my study. However, I am very confused about this issue.
I have two environments to work on RFdiffusion.
First environment: In my local desktop computer, windows 10 system, as follows, I installed RFdiffussion by strictly following steps and everything works well. I got the Pytorch version is
pytorch 1.9.1 py3.9_cuda11.1_cudnn8_0 pytorch
.Second environment: In the remote server, linux system, I have
login accession
who has CPU only and internet to use conda install. At this time, I also installed RFdiffusion by strictly following steps, but I find the pytorch is cpu, seepytorch 1.9.1 cpu_py39hc5866cc_3 defaults
.In this remote server, linux system, I also have
GPU accession
who has GPU but no internet to use conda install. Therefore, when I run RFdiffusion in the remote GPU environment, RFdiffussion doesn't work due to Pytorch-CPU. Therefore, I have to uninstall the Pytorch-CPU and then reinstall Pytorch-GPU.I feel confused, why Pytorch-CPU is installed in the environment without GPU, but Pytorch-GPU is installed in the environment with GPU, although the installation steps are totally same. Is it because the installation will detect environment by itself and decide to install CPU version or GPU version according to the environment by itself?
Thanks very much!
The text was updated successfully, but these errors were encountered: