Merge pull request #366 from JuliaGPU/tb/rm_math_overrides

Remove backend-specific math functionality.

Author: maleadt

src/host/random.jl

@@ -98,8 +98,8 @@ function Random.randn!(rng::RNG, A::AnyGPUArray{T}) where T <: Number
         idx = 2*(linear_index(ctx) - 1) + 1
         U1 = gpu_rand(T, ctx, randstates)
         U2 = gpu_rand(T, ctx, randstates)
-        Z0 = sqrt(ctx, T(-2.0)*log(ctx, U1))*cos(ctx, T(2pi)*U2)
-        Z1 = sqrt(ctx, T(-2.0)*log(ctx, U1))*sin(ctx, T(2pi)*U2)
+        Z0 = sqrt(T(-2.0)*log(U1))*cos(T(2pi)*U2)
+        Z1 = sqrt(T(-2.0)*log(U1))*sin(T(2pi)*U2)
         @inbounds a[idx] = Z0
         idx + 1 > length(a) && return
         @inbounds a[idx + 1] = Z1

test/jlarray.jl

@@ -271,13 +271,6 @@ Base.similar(bc::Broadcasted{JLArrayStyle{N}}, ::Type{T}, dims) where {N,T} =
     JLArray{T}(undef, dims)
 
 
-## math
-
-for f in (:cos, :sin, :sqrt, :log)
-    @eval GPUArrays.$f(ctx::JLKernelContext, x) = $f(x)
-end
-
-
 ## memory operations
 
 function Base.copyto!(dest::Array{T}, d_offset::Integer,