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

Dear huggingface community,
I am experimenting with the ViTMAE model from the transformers library. The ViTMAEConfig class has the option "num_channels" to specify the number of input (color) channels belonging to an image. If I modify this, say, to 1 (for processing grayscale images), the model throws an error, due to the number "3" being hard-coded into the functions "patch

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

PR #22722 introduced a common method for the validation of the parameters of an estimator. We now need to use it in all estimators.

Please open one PR per estimator or family of estimators (if one inherits from another). The title of the PR should mention which estimator it's dealing with and the description of the PR should begin with towards #.

Steps

• The estimator must define a cl

As described already here, running

using Distributed
addprocs(["<remotename>"], exename="<pathToRemoteJuliaExe>", dir="<pathToRemoteHomeDir>")

@fetch myid()

on a host with Julia 1.6.1 and connecting to a remote wit

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.