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  1. whereis cuda
  2.  
  3. cuda: /usr/include/cuda.h /usr/local/cuda
  4.  
  5. ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
  6. Traceback (most recent call last):
  7. File "/home/lucas/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py", line 220, in <module>
  8. use(config.device)
  9. File "/home/lucas/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py", line 207, in use
  10. init_dev(device, preallocate=preallocate)
  11. File "/home/lucas/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py", line 110, in init_dev
  12. context.cudnn_handle = dnn._make_handle(context)
  13. File "/home/lucas/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py", line 124, in _make_handle
  14. cudnn = _dnn_lib()
  15. File "/home/lucas/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py", line 111, in _dnn_lib
  16. config.dnn.base_path)
  17. RuntimeError: Could not load cudnn library. Check your cudnn installation. Maybe using the Theano flag dnn.base_path can help you. Current value "/usr"
  18. [Elemwise{exp,no_inplace}(<TensorType(float64, vector)>)]
  19. Looping 1000 times took 3.294467 seconds
  20. Result is [1.23178032 1.61879341 1.52278065 ... 2.20771815 2.29967753 1.62323285]
  21. Used the cpu
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