When generating large arrays of random numbers, NaNs show up. They also show up at the same indices when using the same seed, leading me to believe that this is a bug with MPSMatrixRandom's normally distributed Float32 random number distribution. Happens with both Philox and MTGP32. Is this intentional and how do I work around this? See the original post for a MWE in Swift and Julia: https://github.com/JuliaGPU/Metal.jl/issues/474

Hi, Reading the copyFromBuffer documentation states that on macOS, sourceOffset, destinationOffset, and size "needs to be a multiple of 4, but can be any value in iOS and tvOS". However, I have noticed that, at least on my M2 Max, this limitation does not seem to exist as there are no warnings and the copy works correctly regardless of the offset value. I'm curious to know if this is something that should still be avoided. Is the multiple of 4 limitation reserved for non Apple Silicon devices and that note can be ignored for Apple Silicon? I ask because I am a contributor to Metal.jl, and recently noticed that our tests pass even when copying using copyWithBuffer with offsets and sizes that are not multiples of 4. If that coul cause issues/correctness problems, we would need to fix that. Thank you. Christian