After trying a lot of thigns, I have decided to uninstall and install
theano, and a new version has installed, the new version requires cuda, so
my theanorc file is now like:
[global]
device = cuda
floatX = float32
[blas]
ldflags = -lopenblas
[nvcc]
# flags=-D_FORCE_INLINES
optimizer_including=cudnn
[cuda]
root=/usr/local/cuda-9.1
And I get the following output after trying Lenet:
Using cuDNN version 7005 on context None
Mapped name None to device cuda: GeForce GTX 750 Ti (0000:06:00.0)
... loading data
... building the model
LENET.py:108: UserWarning: DEPRECATION: the 'ds' parameter is not going to
exist anymore as it is going to be replaced by the parameter 'ws'.
ignore_border=True
Traceback (most recent call last):
File "LENET.py", line 394, in <module>
evaluate_lenet5()
File "LENET.py", line 228, in evaluate_lenet5
y: test_set_y[index * batch_size: (index + 1) * batch_size]
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/compile/function.py",
line 317, in function
output_keys=output_keys)
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/compile/pfunc.py",
line 486, in pfunc
output_keys=output_keys)
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py",
line 1841, in orig_function
fn = m.create(defaults)
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py",
line 1715, in create
input_storage=input_storage_lists, storage_map=storage_map)
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/link.py", line
699, in make_thunk
storage_map=storage_map)[:3]
File "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/vm.py",
line 1084, in make_all
impl=impl))
File "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/op.py",
line 955, in make_thunk
no_recycling)
File "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/op.py",
line 858, in make_c_thunk
output_storage=node_output_storage)
File "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/cc.py",
line 1217, in make_thunk
keep_lock=keep_lock)
File "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/cc.py",
line 1157, in __compile__
keep_lock=keep_lock)
File "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/cc.py",
line 1620, in cthunk_factory
key=key, lnk=self, keep_lock=keep_lock)
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/cmodule.py",
line 1174, in module_from_key
module = lnk.compile_cmodule(location)
File "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/cc.py",
line 1523, in compile_cmodule
preargs=preargs)
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/cmodule.py",
line 2368, in compile_str
return dlimport(lib_filename)
File
"/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/cmodule.py",
line 302, in dlimport
rval = __import__(module_name, {}, {}, [module_name])
ImportError: ('The following error happened while compiling the node',
GpuDnnConv{algo='small', inplace=True, num_groups=1}(GpuContiguous.0,
GpuContiguous.0, GpuAllocEmpty{dtype='float32', context_name=None}.0,
GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), dilation=(1, 1),
conv_mode='conv', precision='float32', num_groups=1}.0, Constant{1.0},
Constant{0.0}), '\n',
'/home/bea/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/tmpPD9sEN/97ac95f817846a3cb0867215657bdc2150272dcddf165864039b936dd3b77309.so:
undefined symbol: cudnnGetConvolutionGroupCount',
"[GpuDnnConv{algo='small', inplace=True,
num_groups=1}(<GpuArrayType<None>(float32, (False, True, False, False))>,
<GpuArrayType<None>(float32, 4D)>, <GpuArrayType<None>(float32, 4D)>,
<CDataType{cudnnConvolutionDescriptor_t}>, Constant{1.0}, Constant{0.0})]")
Regards.
El miércoles, 13 de diciembre de 2017, 13:50:44 (UTC+1), Beatriz G.
escribió:
>
> Hi everyone.
>
> I used to work with Theano and it works perfectly, but after installing
> tensorflow with conda, and some dependencies to work with it, my Theano has
> stopped to work.
>
> I obtain the following error:
>
> Using gpu device 0: GeForce GTX 750 Ti (CNMeM is disabled, cuDNN not
> available)
> ... loading data
> ... building the model
> ... training
> training @ iter = 0
> Traceback (most recent call last):
> File "LENET.py", line 394, in <module>
> evaluate_lenet5()
> File "LENET.py", line 301, in evaluate_lenet5
> cost_ij = train_model(minibatch_index)
> File
> "/home/bea/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py",
>
> line 871, in __call__
> storage_map=getattr(self.fn, 'storage_map', None))
> File
> "/home/bea/anaconda2/lib/python2.7/site-packages/theano/gof/link.py", line
> 314, in raise_with_op
> reraise(exc_type, exc_value, exc_trace)
> File
> "/home/bea/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py",
>
> line 859, in __call__
> outputs = self.fn()
> RuntimeError: GpuCorrMM encountered a CUBLAS error: the library was not
> initialized
> This could be a known bug in CUDA, please see the GpuCorrMM()
> documentation.
>
> Apply node that caused the error: GpuCorrMM_gradWeights{valid, (1,
> 1)}(GpuContiguous.0, GpuContiguous.0)
> Toposort index: 28
> Inputs types: [CudaNdarrayType(float32, (True, False, False, False)),
> CudaNdarrayType(float32, 4D)]
> Inputs shapes: [(1, 500, 28, 28), (1, 20, 5, 5)]
> Inputs strides: [(0, 784, 28, 1), (0, 25, 5, 1)]
> Inputs values: ['not shown', 'not shown']
> Outputs clients: [[GpuDimShuffle{1,0,2,3}(GpuCorrMM_gradWeights{valid, (1,
> 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.
>
> I have tried to install cuda and cudnn, but it does not work (apart from
> the toolkit that i had already installed)
>
> My theanorc file looks like:
> [global]
> device = gpu
> floatX = float32
>
>
> [blas]
> ldflags = -lopenblas
>
>
> [nvcc]
> flags=-D_FORCE_INLINES
>
>
> I would appreciate any advice or help.
>
> Regards.
>
> Beatriz.
>
--
---
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.
