Hello!
I am trying to do very basic operations on two matrix (like minimum and sum).
The matrix have different size but I must go one row and compare to
all the other rows of the other matrix. So I divided the problem in
blocks of size 256 for X and Y and the grid_size is calculated based
on how many rows are left.
I get grid_sizeX=6 and grid_sizeY=32. Unfortunately, pycuda complains:
Traceback (most recent call last):
File "mlARAMv4_cuda.py", line 321, in <module>
nn.test(a['testData']. todense(),a['testLabels'])
File "mlARAMv4_cuda.py", line 207, in test
block = (THREAD_SIZEx ,THREAD_SIZEy, THREAD_SIZEz) ,
grid=(MATRIX_SIZEx,MATRIX_SIZEy)
File
"/usr/local/lib/python2.7/dist-packages/pycuda-2011.1.3-py2.7-linux-i686.egg/pycuda/driver.py",
line 165, in function_call
func._set_block_shape(*block)
Boost.Python.ArgumentError: Python argument types in
Function._set_block_shape(Function, numpy.int16, numpy.int16, numpy.int16)
did not match C++ signature:
_set_block_shape(pycuda::function {lvalue}, int, int, int)
THREAD_SIZEz=1, THREAD_SIZEx=THREAD_SIZEy=256, which are the
misleading names for the block size of each dimension.
My card is a GeForce GTS 250 with 512mb.
I runned it on a Ubuntu 11.10 32 with python 2.7 and pycuda-2011.1.3
as it can be seen from the error line.
I tried different values (128,64,32) for the blocksize/thread_size but
it did not work.
As I do one row at a time for the X matrix (THREAS_SIZEy=1) it does
work perfectly.
Any ideas?
Thank you in advance
Fernando Benites
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