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leanrdchen00918 avatar leanrdchen00918 commented on July 4, 2024

Problem solved!
It turns out the version of libdali.so in tritonserver:22.06-py3 is 1.14. I have to switch my DALI version to 1.14(as dali_backend/DALI_VERSION points out) to serve my pipeline successfully. Is there a way to manage these versions in a more decent, like, automatic way?

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szalpal avatar szalpal commented on July 4, 2024

@leanrdchen00918 ,

Do I understand correctly, that your problem was that you were building Custom Operator with DALI 1.15 instead of 1.14?

The only convenient way of maintaining several DALI versions that comes to my mind is using virtualenv or conda environments.

Thank you for pointing out the potential problem with the plugin. We usually bump DALI version with every dali_backend release (every month or so), so the compatibility problem might arise. I'll try to investigate possible improvements in this field.

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leanrdchen00918 avatar leanrdchen00918 commented on July 4, 2024

@szalpal You are right about my mistake. Thanks a lot for your advice!

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