The error message mentions being out of memory for cnmem.
How much memory do you have on your GPU? How much free memory?
What is the value you gave to lib.cnmem?
Does it still happen if you set lib.cnmem to 0?
On Thu, Dec 01, 2016, Sandipan Haldar wrote:
> *Can somebody help me with this error?*
>
>
>
> >>> import theano
> ERROR (theano.sandbox.cuda): ERROR: Not using GPU. Initialisation of device
> gpu failed:
> initCnmem: cnmemInit call failed! Reason=CNMEM_STATUS_OUT_OF_MEMORY.
> numdev=1
>
> Traceback (most recent call last):
> File
> "/home/sandipan/.local/lib/python3.5/site-packages/theano/compile/function_module.py",
>
> line 859, in __call__
> outputs = self.fn()
> RuntimeError: Cuda error:
> kernel_reduce_ccontig_node_meb404c8cd39208f6884dd773b584b7d7_0: out of
> memory. (grid: 1 x 1; block: 256 x 1 x 1)
>
>
> During handling of the above exception, another exception occurred:
>
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File
> "/home/sandipan/.local/lib/python3.5/site-packages/theano/__init__.py",
> line 111, in <module>
> theano.sandbox.cuda.tests.test_driver.test_nvidia_driver1()
> File
> "/home/sandipan/.local/lib/python3.5/site-packages/theano/sandbox/cuda/tests/test_driver.py",
>
> line 38, in test_nvidia_driver1
> if not numpy.allclose(f(), a.sum()):
> File
> "/home/sandipan/.local/lib/python3.5/site-packages/theano/compile/function_module.py",
>
> line 871, in __call__
> storage_map=getattr(self.fn, 'storage_map', None))
> File
> "/home/sandipan/.local/lib/python3.5/site-packages/theano/gof/link.py",
> line 314, in raise_with_op
> reraise(exc_type, exc_value, exc_trace)
> File "/home/sandipan/.local/lib/python3.5/site-packages/six.py", line
> 685, in reraise
> raise value.with_traceback(tb)
> File
> "/home/sandipan/.local/lib/python3.5/site-packages/theano/compile/function_module.py",
>
> line 859, in __call__
> outputs = self.fn()
> RuntimeError: Cuda error:
> kernel_reduce_ccontig_node_meb404c8cd39208f6884dd773b584b7d7_0: out of
> memory. (grid: 1 x 1; block: 256 x 1 x 1)
>
> Apply node that caused the error:
> GpuCAReduce{add}{1}(<CudaNdarrayType(float32, vector)>)
> Toposort index: 0
> Inputs types: [CudaNdarrayType(float32, vector)]
> Inputs shapes: [(10000,)]
> Inputs strides: [(1,)]
> Inputs values: ['not shown']
> Outputs clients: [[HostFromGpu(GpuCAReduce{add}{1}.0)]]
>
> HINT: Re-running with most Theano optimization disabled could give you a
> back-trace of when this node was created. This can be done with by setting
> the Theano flag 'optimizer=fast_compile'. If that does not work, Theano
> optimizations can be disabled with 'optimizer=None'.
> HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and
> storage map footprint of this apply node.
> >>>
>
> --
>
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--
Pascal
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