Blair:
I am using version 2014.1 on Fedora Linux with Intel
opencl-1.2-4.5.0.8 on CPUs and
xorg-x11-drv-nvidia-cuda-355.11-1.fc21.x86_64 on Kepler GPUs.
I don't use the enqueue_nd_range_kernel() but run my own custom OpenCL
kernels in sequence on the OpenCL device by initializing input arrays
with pyopencl.array.to_device() and retrieving output arrays with
array_dev.map_to_host().
For the kernels running on those device arrays, I invoke them like:
ctx = pyopencl.create_some_context()
clq = pyopencl.CommandQueue(ctx)
...
program = cl.Program(ctx, opencl_sourcecode).build()
program.foo(
cl_queue, (workshape,), None,
dst_dev.data, src_dev.data,
cl_array.vec.make_int3(*dst_dev.shape),
numpy.uint32(other_param)
)
where the arguments starting with "dst_dev.data" are the actual kernel
parameters accepted by my OpenCL kernel called "foo".
I hope that helps.
Karl
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