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.

Model description

Swin Transformer V2: Scaling Up Capacity and Resolution

repo origin: Swin Transformer V2

repo timm: Swin Transformer V2

all the model the pretrain is ready

Open sourc

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 shim tune.create_scheduler() does not properly parse the keyword parameters passed in a dictionary for the pb2 scheduler. For this call

pb2_parm_dict = {"time_attr": "time_total_s", "metric": "metric_score", "mode": "min",
                 "hyperparam_bounds": {"param1": [0, 1]}}

pb2_scheduler = create_scheduler("pb2", **pb2_pa