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.

Environment info

• transformers version: 4.15.0
• Platform: Linux-5.11.0-46-generic-x86_64-with-glibc2.31
• Python version: 3.9.7
• PyTorch version (GPU?): 1.10.1 (True)
• Tensorflow version (GPU?): 2.7.0 (False)
• Flax version

🐛 Describe the bug

Currently many tests run in forks but they are expected to fail due to lack of credentials in forks.

This is a bit annoying to contributors:

A failed job example: https://github.com/ppwwyyxx/pytorch/runs/5137367784?check_suite_focus=true

I thin

nothing### Describe the issue linked to the documentation

Many legitimate notebook style examples have been broken, and specifically by the following PR
scikit-learn/scikit-learn#9061

List of examples to update

Note for maintainers: the content between begin/end_auto_generated is updated automatically by a script. If you edit it by hand your changes may be

Following the discussion in JuliaLang/julia#44168 (comment) (and JuliaLinearAlgebra/MKL.jl#106) I suggest to copy https://carstenbauer.github.io/ThreadPinning.jl/dev/explanations/blas/ into somewhere in the Julia manual if @carstenbauer is OK with it.

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.