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array.jl
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array.jl
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# a lightweight CUDA array type for testing purposes
## ctor & finalizer
mutable struct CuTestArray{T,N}
buf::Mem.DeviceBuffer
shape::NTuple{N,Int}
function CuTestArray{T,N}(shape::NTuple{N,Int}) where {T,N}
len = prod(shape)
buf = Mem.alloc(Mem.Device, len*sizeof(T))
obj = new{T,N}(buf, shape)
finalizer(unsafe_free!, obj)
return obj
end
end
function unsafe_free!(a::CuTestArray)
CUDAdrv.isvalid(a.buf.ctx) && Mem.free(a.buf)
end
Base.cconvert(::Type{<:CuPtr}, x::CuTestArray) = x.buf
Base.length(xs::CuTestArray) = prod(xs.shape)
## memory copy operations
function CuTestArray(src::Array{T,N}) where {T,N}
dst = CuTestArray{T,N}(size(src))
Mem.copy!(dst.buf, pointer(src), length(src) * sizeof(T))
return dst
end
function Base.Array(src::CuTestArray{T,N}) where {T,N}
dst = Array{T,N}(undef, src.shape)
Mem.copy!(pointer(dst), src.buf, length(src) * sizeof(T))
return dst
end
## conversions
using Adapt
function Adapt.adapt_storage(::CUDAnative.Adaptor, a::CuTestArray{T,N}) where {T,N}
ptr = convert(CuPtr{T}, a.buf)
devptr = CUDAnative.DevicePtr{T,AS.Global}(ptr)
CuDeviceArray{T,N,AS.Global}(a.shape, devptr)
end