differentiable-programming

The taichi.lang.util.warning function just prints the warning without consulting the current state of pythons standard library warnings module.

For example:

import warnings
import taichi as ti

with warnings.catch_warnings():
    warnings.simplefilter("ignore

Ankit Shah and I are trying to use Gen to support a project and would love the addition of a dirichlet distribution

Model summary formatting is rudimentary and could be improved so that tabs align. Potentially use some ideas from swift-benchmark.

https://llvm.org/docs/NewPassManager.html

The tricky part is to keep our custom command line options working.

Debugging Kotlin∇ code within IntelliJ IDEA can be somewhat cumbersome due to the functional API structure (lots of deeply-nested stack traces and context switching). To facilitate more user-friendly debugging, we should add support for visual debugging by exposing Kaliningraph’s built-in graph visualization capabilities. For example, the use

For the reverse CI it would be good to use a multi-threaded testsuite (x-ref EnzymeAD/Enzyme#531)

I think https://github.com/RelationalAI-oss/XUnit.jl is the only alternative to Test that supports this.