I am wondering if I can use docker on a pc by changing the architecture from linux / arm to linux / x86_x64?
What are the steps to follow please,
I have already succeeded in completing the project from the sources on the PC, by specifying compute from my gpu card, but for the docker, I don’t know much about it …
do I have to create a new image? or used the one on this link? Docker Hub
The jetson-inference Dockerfile also relies on l4t-pytorch base container, which is for Jetson/aarch64. So you will want to use nvidia/pytorch base container from NGC instead for x86.
the goal of all this is that I intend to launch the training on a cloud (ovh cloud), I wonder if I can directly use the docker image which was generated with the architecture of the ARM64? , because rebuilding in x86 takes time and I have some errors
I rebuilt the container for the x86 by modifying the base image NVIDIA NGC,
but i get these errors i dont understand where its coming from?
any suggestions please?error.txt (15.4 KB)
Also I think you will need TensorRT in the base container. I officially support jetson-inference on Jetson, not x86, so you may find errors you will need to debug.