Copying arrays with pyCuda from the GPU using pointers

Question

I'm copying via pycuda some arrays on the GPU and then store the pointers to these arrays. How do I recuperate the data back?

dist = np.zeros(numPoints).astype(np.float32) distAddress = [gpuarray.to_gpu(dist).ptr for i in range(100)]

If I call the memcpy_dtoh function:

buf = np.zeros(400).astype(np.float32) cuda.memcpy_dtoh(buf,distAddress[0]), (where type(distAddress[0]) is long) I get the following error:

cuda.memcpy_dtoh(buf, distAddress[0]) LogicError: cuMemcpyDtoH failed: invalid argument

What am I doing wrong?

Thanks!

score 1 · Accepted Answer · answered Mar 24 '16 at 01:32

1

I think if you are using GPUArrays the way to copy from device to host is with the .get() method. For example

dist = np.zeros(num_points).astype(np.float32)
dist_list = [gpuarray.to_gpu(dist) for i in range(100)]

buf = dist_list[0].get()

answered Mar 24 '16 at 01:32

inJeans

1 Answers1