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.

Feature request

We currently have ViLT in the library, which, among other tasks, is capable of performing visual question answering (VQA).

It would be great to have a pipeline for this task, with the following API:

from transformers import pipeline

pipe = pipeline("vqa")
pipe("cats.png", "how many cats are there?")
`

Followup to pytorch/pytorch#74955 (comment).

It turns out that that cmake version was just bad and we can now unpin cmake once again.

cc @seemethere @malfet @pytorch/pytorch-dev-infra

Background / Objective

Docstrings in Python are string literals that occur as the first statement in a module, function, class, or method definition.

These are some of the characteristics of a docstring:

• Triple quotes are used to encompass the docstring text.
• There is no blank line before or after the docstring.

https://github.com/JuliaLang/julia/blob/3cff21e725097673f969c19f8f0992c9a0838ab3/base/arrayshow.jl#L584

Seems the following change is reasonable:

-            sprint(show_type_name, unwrap_unionall(eltype_X).name), false # Print "Array" rather than "Array{T,N}"
+            sprint(show_type_name, unwrap_unionall(eltype_X).name; context=io), false # Print "Array" rather than "Array{

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.

What happened + What you expected to happen

The autoscaler pushes some logs to the Ray driver. The logs are prefixed with (scheduler) which is misleading.
The prefix should be (autoscaler).

Versions / Dependencies

Ray master.

Reproduction script

Submit a Ray task or actor which triggers upscaling to trigger the logs.

Issue Severity

Low: It annoys or frustrates me.