We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
I'm getting the following error while trying to copy an array into GPU memory. It's fairly self-explanatory and seems like a bug to me
MethodError: copyto!(::CuArray{Float64, 1, CUDA.DeviceMemory}, ::CartesianIndices{1, Tuple{UnitRange{Int64}}}, ::Vector{Float64}, ::CartesianIndices{1, Tuple{UnitRange{Int64}}}) is ambiguous. Candidates: copyto!(dst::GPUArraysCore.AbstractGPUArray{T, N}, dstrange::CartesianIndices{N, R} where R<:Tuple{Vararg{OrdinalRange{Int64, Int64}, N}}, src::Array{T, N}, srcrange::CartesianIndices{N, R} where R<:Tuple{Vararg{OrdinalRange{Int64, Int64}, N}}) where {T, N} @ GPUArrays ~/.julia/packages/GPUArrays/8Y80U/src/host/abstractarray.jl:272 copyto!(dest::GPUArraysCore.AnyGPUArray, d_range::CartesianIndices{1, R} where R<:Tuple{OrdinalRange{Int64, Int64}}, src::Array, s_range::CartesianIndices{1, R} where R<:Tuple{OrdinalRange{Int64, Int64}}) @ GPUArrays ~/.julia/packages/GPUArrays/8Y80U/src/host/abstractarray.jl:159 Possible fix, define copyto!(::GPUArraysCore.AbstractGPUVector{T}, ::CartesianIndices{1, R} where R<:Tuple{OrdinalRange{Int64, Int64}}, ::Vector{T}, ::CartesianIndices{1, R} where R<:Tuple{OrdinalRange{Int64, Int64}}) where T
Edit: obviously I should have raised this on the GPUArrays repository... JuliaGPU/GPUArrays.jl#554
The text was updated successfully, but these errors were encountered:
Closing in favor of JuliaGPU/GPUArrays.jl#554
Sorry, something went wrong.
No branches or pull requests
I'm getting the following error while trying to copy an array into GPU memory. It's fairly self-explanatory and seems like a bug to me
Edit: obviously I should have raised this on the GPUArrays repository...
JuliaGPU/GPUArrays.jl#554
The text was updated successfully, but these errors were encountered: