I have a total dedicated memory of 1948MB. And used dedicated memory of
233MB. I gave lib.cnmem=1. No the error is shown when lib.cnmem=0..But it
shows
"Using gpu device 0: GeForce 820M (CNMeM is disabled, cuDNN not available)"
On Friday, December 2, 2016 at 2:01:58 AM UTC+5:30, Pascal Lamblin wrote:
>
> 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.
> > >>>
> >
> > --
> >
> > ---
> > You received this message because you are subscribed to the Google
> Groups "theano-users" group.
> > To unsubscribe from this group and stop receiving emails from it, send
> an email to [email protected] <javascript:>.
> > For more options, visit https://groups.google.com/d/optout.
>
>
> --
> Pascal
>
--
---
You received this message because you are subscribed to the Google Groups
"theano-users" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
For more options, visit https://groups.google.com/d/optout.
