Hi everyone,
I have been spending some time learning & experimenting with TVM & while I find the framework powerful; I am figuring out the best ways to apply it effectively in real-world scenarios. I have seen TVM offers great performance optimization for deep learning models but sometimes I get stuck when moving from tutorials to practical use cases.
I want to know how others approach integrating TVM into existing workflows. Do you start with small-scale models and then scale up or directly attempt production-level deployments? Also, how do you manage performance trade-offs, debugging & compatibility issues when working across different hardware backends?
I have been reading guides here & there but hearing personal experiences always helps more. By the way; while browsing study resources I also came across CISSP Training & it got me thinking about how much security & optimization knowledge overlaps across different fields.
Thank you.