FAQ
Frequently-Asked Questions
Last updated
Frequently-Asked Questions
Last updated
See .
You may wish to on your container. If you do so, please ensure that password access is disabled in order to keep your container secure.
Using the (pre-installed in the ), you can do:
This method is limited to a small file size per each upload, and notably requires the tar
command be available inside your container.
If your container runs an SSH server, you can copy files using tools like scp
.
We do not yet support pulling from private Docker registries.
For security reasons, we don't support privileged mode. However, you can pass devices into your container to access things like the GPIO, CSI Camera, I2C, serial, or USB interfaces. This is equivalent to docker run --device ...
For more information, please see the section on .
Support for adding specific capabilities, as in CAP_ADD ...
, is in progress.
Most GPU workloads on nvidia devices require or take advantage of several libraries in the CUDA ecosystem. For convenience and simplicity, we prepackaged the full Cuda, Tensort, Cudnn, and Visionworks libraries on our Nvidia hosts. To mount these libraries on your container, please include the runtime="nvidia"
keyword argument when starting your container with the create_container()
call.
Please make sure to specify a reservation_id with Nvidia devices only as this will not affect containers started on non-Nvidia Edge devices. Lastly, please make sure to use images and software that is compatible with the current L4T (Linux for Tegra) version that we are using, namely L4T 32.7.3.
This can be done with tegrastats
.
Follow these steps to get the binary, which can be copied to your image.
Extract the folder using dpkg-deb -x <filename>.deb <output_dir>"
, and then you can find the tegrastats binary in ./usr/bin
.
Exited(1)
Check the “Logs” tab for more information on what went wrong.
If you see the error exec user process caused: exec format error
, the issue most likely an architecture issue. Make sure your container is built for the proper CPU type, which is linux/arm64
on most of our devices.
Get the tegrastats binary from Nvidia which is in the (version 32.7.3).