Run nvidia-smi and see what process is using up all the memory. Possibly some previous session which is still active.
On 2 November 2017 at 14:37, Andreas Kloeckner <li...@informa.tiker.net> wrote: > Arnold Tunick <ephi5...@yahoo.com> writes: > > Hi Andreas, my CNN training program has the following pycuda set up: > > import pycuda.driver as drv... # pycuda set up > > drv.init() > > dev = drv.Device(int(config['gpu'][-1])) > > ctx = dev.make_context() > > When I run the program I get the following error: File > "C:\Users\atunick\theano_alexnet\train.py", line 31, in train_net > > ctx = dev.make_context() > > MemoryError: cuCtxCreate failed: out of memory > > Note that I am using a new win 10 notebook and have everything > re-installed and working, e.g., I have run without error two pycuda test > programs...hello_gpu.py and simplespeedtest.py..I have not seen this > problem before and when I search the web for solutions, the ones that you > recommended earlier don't appear to work, i.e., import pycuda > > pycuda.tools.clear_context_caches() > > or > > import gc > > and between calls add gc.collect().Please advise.Thank you.Arnold > > Is there other code in that program that might also create a context? > Contexts are quite memory-intensive, so your device may not have enough > memory to fit more than one. > > Andreas > > > _______________________________________________ > PyCUDA mailing list > PyCUDA@tiker.net > https://lists.tiker.net/listinfo/pycuda >
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