Another libcublas.so.7.5: cannot open shared object file problem

[gammaguy]

Great library. Exactly what I'm looking for but....

I was able to install then run nosetests and bench_cudamat.py without errors (although I found if I run nosetests a number of times I get a "CUDAMatrix.sum exceeded threshold" or "cudamat.pow exceeded threshold" intermittently. I put the full errors at the bottom in the Appendix).

I can run the example from the README.md in both the python shell or ipython but if I run it in Pycharm I get the following:

---

/home/paul/anaconda/bin/python /home/paul/PycharmProjects/untitled/po_cudamattest1967.py
Traceback (most recent call last):
File "/home/paul/PycharmProjects/untitled/po_cudamattest1967.py", line 3, in
import cudamat as cm
File "/home/paul/.local/lib/python2.7/site-packages/cudamat-0.3-py2.7-linux-x86_64.egg/cudamat/init.py", line 1, in
from .cudamat import *
File "/home/paul/.local/lib/python2.7/site-packages/cudamat-0.3-py2.7-linux-x86_64.egg/cudamat/cudamat.py", line 18, in
_cudamat = load_library('libcudamat')
File "/home/paul/.local/lib/python2.7/site-packages/cudamat-0.3-py2.7-linux-x86_64.egg/cudamat/cudamat.py", line 16, in load_library
basename + ext))
File "/home/paul/anaconda/lib/python2.7/ctypes/init.py", line 443, in LoadLibrary
return self._dlltype(name)
File "/home/paul/anaconda/lib/python2.7/ctypes/init.py", line 365, in init
self._handle = _dlopen(self._name, mode)
OSError: libcublas.so.7.5: cannot open shared object file: No such file or directory

Process finished with exit code 1

---

I'm running Ubuntu 14.04, Cuda 7.5, Pycharm 5.0 on a i7-5950X, 32Gb with a Titan X. My Theano programs run fine. I also tried it on Pycharm 4.5.

I compiled for a 5.2 Compute Capability via:
NVCCFLAGS=-arch=sm_52 python setup.py install --user

Any thoughts would be welcome. I still not great at Ubuntu so a little patience would be appreicated.

Regards
Paul

Appendix:
The two error I intermittently get between no error.

paul@speed:~/paul/cudamat/test$ nosetests

.........................................................

Ran 57 tests in 0.790s

OK

paul@speed:~/paul/cudamat/test$ nosetests

................F........................................

FAIL: test_cudamat.test_sum_trans

Traceback (most recent call last):
File "/home/paul/anaconda/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(self.arg)
File "/home/paul/paul/cudamat/test/test_cudamat.py", line 367, in test_sum_trans
assert np.max(np.abs(c2 - mt2.numpy_array)) < 10*-3, "Error in CUDAMatrix.sum exceeded threshold"
AssertionError: Error in CUDAMatrix.sum exceeded threshold

---

Ran 57 tests in 0.831s

FAILED (failures=1)
paul@speed:~/paul/cudamat/test$ nosetests

..................................F......................

FAIL: test_cudamat.test_pow_matrix

Traceback (most recent call last):
File "/home/paul/anaconda/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(self.arg)
File "/home/paul/paul/cudamat/test/test_cudamat.py", line 791, in test_pow_matrix
assert np.max(np.abs(c - m1.numpy_array)) < 10*-2, "Error in cudamat.pow exceeded threshold"
AssertionError: Error in cudamat.pow exceeded threshold

---

Ran 57 tests in 0.793s

FAILED (failures=1)

[f0k]

I found if I run nosetests a number of times I get a "CUDAMatrix.sum exceeded threshold" or "cudamat.pow exceeded threshold" intermittently

That's reported in #54, the tolerances in the tests seem to be too strict for most GPUs. Feel free to help out with this.

OSError: libcublas.so.7.5: cannot open shared object file: No such file or directory

I don't know Pycharm, but it seems you installed CUDA in a way Pycharm can't find it. Make sure the library location (e.g. /usr/local/cuda/lib64) is on LD_LIBRARY_PATH for Pycharm, or create a file /etc/ld.so.conf.d/cuda with a single line /usr/local/cuda/lib64 and run sudo ldconfig to make CUDA available globally. If this solves the problem, please close the issue!

[gammaguy]

My machine's motherboard died but i'll have the replacement and be able to test it mid next week. I'll get back to you then. Thank you.