Hi all, recently I needed a way to zeropad a 2D array with pyopencl like numpy.pad() does. Since changing array size only works in the first dimension I came up with this:
concatenate old array with zeros <- in 1st dim transpose new array <- flip dims concatenate new array with zeros <- again in 1st dim transpose again <- flip back dims That works well with the Transposition() in Bogdan Opanchuk's Reikna package. I only need to do a reshape() after each transposition. With pyopencl's transpose() strides are also flipped so I can't carry out the 2nd transposition (strides don't match). So here is my question: How can I make use of transpose() when the result always has flipped strides? Also, can you think of a simpler way to zeropad in 2D? The array should be padded symmetrically so that the old array is embedded in the center of the padded array. Thanks in advance... _______________________________________________ PyOpenCL mailing list [email protected] http://lists.tiker.net/listinfo/pyopencl
