ArrayFire.jl
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Julia wrapper for the ArrayFire library
For numerical linear algebra it would be very useful to extend the implementations of `Base.LinAlg.scale!` and `Base.LinAlg.axpy!` etc. Right now, everything goes back to the implementation for AbstractArrays (which is...
Most of the time (although not always) the `mean` and `var` tests fail: ``` ...v0.4/ArrayFire/test(master) >> julia _ _ _ _(_)_ | A fresh approach to technical computing (_) |...
``` julia> a = rand(Float32, 100,100); julia> b = AFArray(a); julia> fft(a)-fft(b); ERROR: BoundsError: attempt to access (100,100) at index [3] in - at arraymath.jl:97 ```
The array `tau` that's returned looks different from what Julia returns. Why are they different?