hi Pearu, You can construct a host buffer using pyarrow.foreign_buffer
http://arrow.apache.org/docs/python/generated/pyarrow.foreign_buffer.html#pyarrow.foreign_buffer It would be great to have analogous functionality for CUDA. Last summer I created this JIRA about "attaching" to a CUDA context created by another library, may be related: https://issues.apache.org/jira/browse/ARROW-1423 - Wes On Wed, Oct 3, 2018 at 12:49 PM Pearu Peterson <pearu.peter...@quansight.com> wrote: > > Hi, > > pa.cuda.CudaBuffer provides address and size of a device memory, so one can > construct numba.cuda MemoryPointer from a CudaBuffer instance and hence > there exists a way to pass CudaBuffer instances to numba.cuda jitted > functions. > > The other way, having a device pointer and size (say, from numba.cuda > objects) and then construct a CudaBuffer from it, is not currently possible > within pyarrow. > > Since C++ CudaBuffer has the corresponding constructor already that takes > the address and size (and context) to produce CudaBuffer instance, would it > make sense to support this also in Python level? [I can give the > implementation a try if so] > > Is it possible to construct a pyarrow.Buffer instance from a host pointer > value and size? > > Best regards, > Pearu
