New occurence of "could not load library "af""

ArrayFire 3.x with ArrayFire.jl and CUDA 10.x have been working well for me on Windows 10, with consumer-grade GPUs such as RTX 2080 Ti.

But recently when I tried to do the same for a Telsa A100 GPU on a Windows 10 PC, I suddenly cannot make ArrayFire work anymore.

I tried the following with ArrayFire.jl 1.0.7 on both Julia 1.5.3 and 1.6.0-rc1, on Windows 10 64-bit.

* ArrayFire 3.8.0 for CUDA 11.2, on CUDA Toolkit 11.2: when "using ArrayFire", the following error happens:
`julia> using ArrayFire
[ Info: Precompiling ArrayFire [b19378d9-d87a-599a-927f-45f220a2c452]
ERROR: InitError: could not load library "af"
The specified module could not be found.
Stacktrace:
[1] dlopen(::String, ::UInt32; throw_error::Bool) at C:\Julia 1.5.3\share\julia\stdlib\v1.5\Libdl\src\Libdl.jl:109
[2] dlopen at C:\Julia 1.5.3\share\julia\stdlib\v1.5\Libdl\src\Libdl.jl:109 [inlined] (repeats 2 times)
[3] __init__() at C:\Users\zpan\.julia\packages\ArrayFire\U0hth\src\util.jl:59
[4] _include_from_serialized(::String, ::Array{Any,1}) at .\loading.jl:697
[5] _require_from_serialized(::String) at .\loading.jl:749
[6] _require(::Base.PkgId) at .\loading.jl:1040
[7] require(::Base.PkgId) at .\loading.jl:928
[8] require(::Module, ::Symbol) at .\loading.jl:923
during initialization of module ArrayFire`
I am 100% sure the ArrayFire library path is on system PATH, just like what I did before.

* ArrayFire 3.8.0 for CUDA 10.1 or 10.2, or ArrayFire 3.7.3, on CUDA Toolkit 10.2: "using ArrayFire" works fine, but during calculation a run time error would happen saying something like a parameter is unknown.

I do prefer moving to CUDA 11 since A100 is quite new, so I'm posting here only the issue of "could not load library "af"".