Chad Green

> YES! That's a great idea @ynjiun . As that gives both long-range and not-long-range depth out of the same model. > > And with that idea I'm now pondering...

Hello, any updates on this issue/feature request? If I'm doing it wrong, go ahead and let me know. Just trying to get dynamic batching to work on triton inference server....

Thanks for the reply and suggestion @lsrock1 . I checked out 7beddae and made the change. Here's the stack trace: ``` Traceback (most recent call last): File "exporter_main_v2.py", line 159,...

It looks like this issue is specific to the centernet architecture. I confirmed that your change works (at least didn't get any errors, haven't tested dynamic batching in triton yet)...

I confirmed that your change enabled dynamic batching for the Faster RCNN architecture on Triton Inference Server. I'll link your solution there as well. Still need a fix for centerNet,...

Can we leave this open until we get a solution to the error related to centernet, though? That's the one I actually need.

Perfect, @jobpasin ! Thanks for posting your solution!