Hi all:
After suffering though the linkage problems in the CUDA sdk and the
MacPorts boost and fixing that stuff with help from this mailing list,
I've run into another roadblock. When I run test_driver.py I get this
error message:
$ python2.5 test_driver.py
Traceback (most recent call last):
File "test_driver.py", line 25, in <module>
assert isinstance(pycuda.autoinit.device.get_attributes(), dict)
File "/opt/local/lib/python2.5/site-packages/pycuda-0.94beta-py2.5-
macosx-10.5-i386.egg/pycuda/driver.py", line 51, in
device_get_attributes
for att in dir(device_attribute)
File "/opt/local/lib/python2.5/site-packages/pycuda-0.94beta-py2.5-
macosx-10.5-i386.egg/pycuda/driver.py", line 52, in <genexpr>
if att[0].isupper())
pycuda._driver.LogicError: cuDeviceGetAttribute failed: not found
I have verified that the CUDA installation is working, because the
NVIDIA sample apps work. The NVIDIA deviceQuery program gives this
output:
CUDA Device Query (Runtime API) version (CUDART static linking)
There is 1 device supporting CUDA
Device 0: "GeForce 9400M"
CUDA Driver Version: 2.30
CUDA Runtime Version: 2.30
CUDA Capability Major revision number: 1
CUDA Capability Minor revision number: 1
Total amount of global memory: 266010624 bytes
Number of multiprocessors: 2
Number of cores: 16
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
Warp size: 32
Maximum number of threads per block: 512
Maximum sizes of each dimension of a block: 512 x 512 x 64
Maximum sizes of each dimension of a grid: 65535 x 65535 x 1
Maximum memory pitch: 262144 bytes
Texture alignment: 256 bytes
Clock rate: 0.00 GHz
Concurrent copy and execution: No
Run time limit on kernels: Yes
Integrated: Yes
Support host page-locked memory mapping: Yes
Compute mode: Default (multiple
host threads can use this device simultaneously)
Test PASSED
Press ENTER to exit...
One potential problem is that I installed the latest CUDA package,
2.3. Does PyCUDA work with 2.3? The documentation implies that it will.
Should I downgrade to CUDA Driver 2.2? How do I uninstall the 2.3
package?
I'm not sure what else to try at this point. Any ideas?
Thanks,
-Aaron
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