Dear Jonathan,
"Schock, Jonathan" <jonathan.sch...@tum.de> writes:
> I'm failing to compile programs, using the write_imagef() functions on
> Nvidia implementations.
> Working with a 'Tesla K10.G2.8GB' using the driver version 367.35 on
> python 2.7 with PyopenCL 2016.1,
> I'm trying to compile the following program, which fails with a build
> error:
>
> Host Code
>
> import pyopencl as cl
>
> platform = cl.get_platforms()[0]
> devs = platform.get_devices()
> device1 = devs[1]
> mf = cl.mem_flags
> ctx = cl.Context([device1])
> Queue1 = cl.CommandQueue(ctx)
>
> f = open('Minimal.cl', 'r')
> fstr = "".join(f.readlines())
> prg = cl.Program(ctx, fstr).build()
>
>
> Kernel (Minimal.cl)
>
> __kernel void test(image2d_t d_output){
> write_imagef(d_output,(int2)(1,1),(float4)(1.0f,1.0f,1.0f,1.0f));
> }
>
>
> The error I get is:
>
> pyopencl.cffi_cl.RuntimeError: clbuildprogram failed:
> BUILD_PROGRAM_FAILURE -
>
> I checked, if my device has image support and that it supports reading
> and writing to
> texture buffers in the specified format. I think, that the same case
> won't work for the 3d case,
> because the extension 'cl_khr_3d_image_writes' is not supported on any
> of our Nvidia device,
> but I don't understand the problem for the 2D case.
Not sure I can be much help here--PyOpenCL doesn't do anything different
in the case of your code than what it does for other codes. It takes the
source code string and hands it off to the implementation. So this is
looking a bit like an Nvidia problem to me. One way to confirm that
would be to see what you get from a purely C-based code.
You might be able to use this as a starting point:
https://github.com/hpc12/tools
If this fails when trying to build the code -> Nvidia problem.
If this succeeds when trying to build the code -> PyOpenCL problem.
Hope that helps,
Andreas
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