Hi all, I’m super new to numba and compiled code and am trying to make this library AOT compiled, since it currently takes a minute to import: compiling ahead of time (remove jit) · Issue #17 · aquacropos/aquacrop · GitHub Some of the functions in solutions.py depend on many user supplied parameter…

Hi @rbavery , The @njit decorator is lazy, if import time is high due to compilation, something must be triggering that compilation. Perhaps consider working out what is causing this behaviour first? RE: AOT compilation, I’d first try to reorgnaising the code to make it such that functions consume …

A further thought, I think namedtuple would permit packing of the data from e.g. jitclass into a single container and retain some of the attribute related semantics, it also works with caching and AOT. e.g. from numba.pycc import CC from numba import types from collections import namedtuple cc = …

Note that functions that take jitclass instances cannot be cached

Thanks for these tips! We are going to explore using named tuples so that we have the option to use cache-ing or AOT if needed.

got it, thank you for this tip!

Namedtuple can be cached, but caching means pickling and that can sometimes take a bit of care to make work correctly. You’ll get plenty of hits googling ‘namedtuple pickle’

What's the recommended way to pass around large amounts of parameters that works with AOT?

Numba Support: How do I do ...?

nelson2005 January 26, 2022, 2:45am 2

I’d use structuref

Topic		Replies	Views
AOT compilation of jitclass Numba	5	1709	June 8, 2022
Complex Structured Inputs Community Support	10	653	July 13, 2022
How to pass jit_options to jitclasses? Support: How do I do ...?	18	1330	August 19, 2020
Caching vs AOT: What are the use cases? Support: How do I do ...?	0	236	August 15, 2023
Compile without compiler Support: How do I do ...?	6	930	July 27, 2021

What's the recommended way to pass around large amounts of parameters that works with AOT?

Related topics