Hi all,
I observed a problem with typecasting from a real number to a complex
number an a Tesla 2050 using pyopencl (from git w/ latest commit
d6926eea21351f3044fd441cae64637441e3172f). A code snipped may explain
that better:
import pyopencl as _cl
import pyopencl.array as _clarray
import numpy as _numpy
from numpy import float32,float64,complex64,complex128
print _cl.__file__
print _numpy.__file__
cl_context = _cl.create_some_context()
print cl_context
cl_queue = _cl.CommandQueue(cl_context)
print cl_queue
narr= _numpy.zeros(shape=(2,2), dtype=complex64)
narr[0,0]= 5
print narr
clarr= _clarray.to_device(cl_queue, narr)
print "clarr on gpu: {0}".format(clarr)
res= clarr / 5 # this reproduces: <program source>:20:20: error: can't
convert between vector values of different size ('cfloat_t
__attribute__((address_space(1)))' and 'double')
#res= clarr / (5+0j) # this works
print clarr
Cheers, Karsten
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