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