Re: [theano-users] import theano problem
Use a smaller value like 0.9 or 0.8.
Le 2 déc. 2016 18:19, "Sandipan Haldar" a écrit :
> 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 "", line 1, in
>> > File
>> > "/home/sandipan/.local/lib/python3.5/site-packages/theano/__init__.py",
>>
>> > line 111, in
>> > 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}()
>> > Toposort index: 0
>> > Inputs types: [CudaNdarrayType(float32, vector)]
>> > Inputs shapes: [(1,)]
>> > 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 theano-users...@googlegroups.com.
>> > For more options, visit https://groups.google.com/d/optout.
>>
>>
>> --
>> Pascal
>>
> --
>
> ---
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>
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Re: [theano-users] import theano problem
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 "", line 1, in
> > File
> > "/home/sandipan/.local/lib/python3.5/site-packages/theano/__init__.py",
> > line 111, in
> > 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}()
> > Toposort index: 0
> > Inputs types: [CudaNdarrayType(float32, vector)]
> > Inputs shapes: [(1,)]
> > 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 theano-users...@googlegroups.com .
> > For more options, visit https://groups.google.com/d/optout.
>
>
> --
> Pascal
>
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Re: [theano-users] import theano problem
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 "", line 1, in
> File
> "/home/sandipan/.local/lib/python3.5/site-packages/theano/__init__.py",
> line 111, in
> 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}()
> Toposort index: 0
> Inputs types: [CudaNdarrayType(float32, vector)]
> Inputs shapes: [(1,)]
> 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 theano-users+unsubscr...@googlegroups.com.
> For more options, visit https://groups.google.com/d/optout.
--
Pascal
--
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[theano-users] import theano problem
*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 "", line 1, in
File
"/home/sandipan/.local/lib/python3.5/site-packages/theano/__init__.py",
line 111, in
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}()
Toposort index: 0
Inputs types: [CudaNdarrayType(float32, vector)]
Inputs shapes: [(1,)]
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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