David Buchaca Prats

Is there any way to see the available memory at a given time? I can confirm that the GPU has 8 GB of ram. Let me know if you want...

It must be something else, I have 0.7 ``` Pkg.status("OpenCL") WARNING: unknown IssueReporter commit 5f686e74, metadata may be ahead of package cache - OpenCL 0.7.0 ``` About AMD drivers we...

It seems `Pkg.checkout("OpenCL", "sd/taskerror")` is not working: ```julia julia> Pkg.checkout("OpenCL", "sd/taskerror") INFO: Checking out OpenCL sd/taskerror... ERROR: GitError(Code:ERROR, Class:Merge, There is no tracking information for the current branch.) Stacktrace: [1]...

I went to the OpenCL folder did a `git fetch` and then `Pkg.checkout("OpenCL", "sd/taskerror")`worked ``` iMac-de-David:OpenCL davidbuchaca1$ git fetch remote: Counting objects: 4, done. remote: Total 4 (delta 3), reused...

After the warnings once I call again the function it works. ```julia julia> A_cpu = Array(A) julia> sum(A_cpu) 499799.3f0 julia> sum(A) 499799.28f0 ```

This does not make `Pkg.test("CLArrays")` (for the CPU) to properly work. It prints a huge list of stuff and finishes with: ``` Test Summary: | Pass Error Total Device: OpenCL.Device(Intel(R)...

yes yes I updated my comment :)

Do you have a snippet of code that fails using the OpenCL provided by beignet? I would like to try it and provide feedback. In my computer all tests passed.

I actually tested the code and it failed just like yours ```julia x .+ WithTuple(1, (2,3)) ERROR: Julia and OpenCL type don't match at kernel argument 6: Found Tuple{CLArrays.DeviceArray{Int32,1,CLArrays.HostPtr{Int32}},WithTuple}. Please...

Did you try with device equal to the Iris pro? The whole test: It works with CLArray on "CPU_OpenCL" but not for "GPU_Opencl". ```julia julia> using CLArrays julia> struct WithTuple...