Machine learning

Current implementation of Go binding can not specify options.

GPUOptions struct is in internal package. And go generate doesn't work for protobuf directory. So we can't specify GPUOptions for NewSession.

EDIT: The failure is due to update in Python 3.10 behaviour.

The following OpInfo tests fail locally (with Python 3.10) but pass on CI for gradient op

https://github.com/pytorch/pytorch/blob/97f29bda59deab8c063cf01f0a8ff4321b93c55e/torch/testing/_internal/common_methods_invocations.py#L8277-L8282

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These examples take quite a long time to run, and they make our documentation CI fail quite frequently due to timeout. It'd be nice to speed the up a little bit.

To contributors: if you want to work on an example, first have a look at the example, and if you think you're comfortable working on it and have found a potential way to speed-up execution time while preserving the educational message

using Test
@test :(1 = 2) |> repr == Expr(:(=), 1, 2) |> repr == ":(1 = 2)"

but others (reserved) assignment ops are not shown as they are typed, eg in infix form but in prefix one.

@test :(1 := 2) |> repr == ":($(Expr(:(:=), 1, 2)))"

a small annoyance, but one that may easily be fixed by adding them to expr_infix_wide @ https://github.com/JuliaLang/juli

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.