Jesper Stemann Andersen

Superseded by #4554

This (and #4604 and #4605) fails due to CUDNN_jll v8.2.1 not having a mapping for CUDA 11.5. @maleadt Should CUDNN v8.2.1 actually have such a mapping? TensorRT v8.2.1 - v8.2.3...

> CUDNN 8.2.1 only supports up to CUDA 11.3, I think. Or at least that was the supported release back when that version of CUDNN was released. Right: https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-824/support-matrix/index.html v8.2.1...

@ViralBShah I know that this and #4604 seemed like stale PR's, but this PR in particular is the only version to support CUDA 10.2 on aarch64-linux-gnu, so can we please...

Windows support currently stuck on `fatal error: BaseTsd.h: No such file or directory`: https://dev.azure.com/JuliaPackaging/Yggdrasil/_build/results?buildId=17983&view=logs&j=5448dbe0-f2cb-5f4c-78ce-09f571b85d5e&t=c83582e6-d39d-5d80-ebce-b51ed759db33&l=290

I would argue that it would be better to use a version number like 0.0.20201225 (using the date of the commit): * If the library authors didn't bother to version...

> @stemann Now the problem is MKL: > > ``` > ERROR: InitError: could not load library "/tmp/jl_mho9f5/artifacts/929e07419d06d190327bd30982e5b0b510a49664/lib/libtorch.so" > libmkl_intel_lp64.so.2: cannot open shared object file: No such file or directory...

Allegedly fixed according to https://github.com/JuliaGPU/KernelAbstractions.jl/pull/314#issuecomment-1182995831

What is the scope of this package in relation to the existing packages, e.g. in JuliaCrypto ? It seems a substantial part of this package is wrappers (which should be...

I have not looked much at cryptography in Julia, but it seems [Nettle.j](https://github.com/JuliaCrypto/Nettle.jl)l and [SEAL.jl](https://github.com/JuliaCrypto/SEAL.jl) follow the common practice of having one Julia wrapper package per binary dependency (JLL) -...