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ho...@google.com <ho...@google.com> #2
Hello,
Thank you for reaching out.
This issue was forwarded to our product team. Please keep in mind that this issue has to be analyzed and considered by the product team and I can't provide you ETA for it to be delivered. However, you can keep track of the status by following this thread.
Kind Regards
ho...@google.com <ho...@google.com> #3
Is there any update on this issue?
Description
What you would like to accomplish:
Would like to be able to use Make AutoML Vision Object Detection Edge with Jetson Nano
How this might work:
Expand the GPU docker support to the device
If applicable, reasons why alternative solutions are not sufficient:
There is no known alternative soltuion at this point.
Other information (workarounds you have tried, documentation consulted, etc):
1) Followed the instructions here[1] but produced ".../cuda-10.0/compat/libcuda.so.410.48: no such file or directory" error when I run:
sudo docker run --runtime=nvidia --rm --name "${CONTAINER_NAME}" -v \
${YOUR_MODEL_PATH}:/tmp/mounted_model/0001 -p \
${PORT}:8501 -t ${GPU_DOCKER_GCS_PATH}
2) Built CUDA driver following [2]. The same error as above is produced.
[1]
[2]