differentiable-programming

https://github.com/taichi-dev/taichi/blob/536cd14b024c1f00ec80fc68c1a78115f5e635ea/python/taichi/lang/kernel_impl.py#L157-L158

These two lists are often used together. We should create a small struct to hold all the argument (or parameter, more precisely) info and maintain a single list in Kernel.

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://en.cppreference.com/w/c/numeric/math/logb

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.

Instead, we could error in forward and backward.