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July 2, 2015 12:40
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Error when executing mnist_conv_dnn.py
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$ python mnist_conv_dnn.py | |
Using gpu device 0: GeForce GTX TITAN Black | |
Loading data... | |
Building model and compiling functions... | |
/usr/local/lib/python2.7/dist-packages/Lasagne-0.1.dev-py2.7.egg/lasagne/init.py:86: UserWarning: The uniform initializer no longer uses Glorot et al.'s approach to determine the bounds, but defaults to the range (-0.01, 0.01) instead. Please use the new GlorotUniform initializer to get the old behavior. GlorotUniform is now the default for all layers. | |
warnings.warn("The uniform initializer no longer uses Glorot et al.'s " | |
/usr/local/lib/python2.7/dist-packages/Lasagne-0.1.dev-py2.7.egg/lasagne/layers/helper.py:69: UserWarning: get_all_layers() has been changed to return layers in topological order. The former implementation is still available as get_all_layers_old(), but will be removed before the first release of Lasagne. To ignore this warning, use `warnings.filterwarnings('ignore', '.*topo.*')`. | |
warnings.warn("get_all_layers() has been changed to return layers in " | |
Traceback (most recent call last): | |
File "mnist_conv_dnn.py", line 129, in <module> | |
main() | |
File "mnist_conv_dnn.py", line 104, in main | |
X_tensor_type=T.tensor4, | |
File "/home/moose/GitHub/las-origi/Lasagne/examples/mnist.py", line 148, in create_iter_functions | |
y_batch: dataset['y_train'][batch_slice], | |
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function.py", line 266, in function | |
profile=profile) | |
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 511, in pfunc | |
on_unused_input=on_unused_input) | |
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 1466, in orig_function | |
defaults) | |
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 1324, in create | |
input_storage=input_storage_lists) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/link.py", line 519, in make_thunk | |
output_storage=output_storage)[:3] | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/vm.py", line 897, in make_all | |
no_recycling)) | |
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/__init__.py", line 259, in make_thunk | |
compute_map, no_recycling) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 739, in make_thunk | |
output_storage=node_output_storage) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/cc.py", line 1073, in make_thunk | |
keep_lock=keep_lock) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/cc.py", line 1015, in __compile__ | |
keep_lock=keep_lock) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/cc.py", line 1442, in cthunk_factory | |
key=key, lnk=self, keep_lock=keep_lock) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/cmodule.py", line 1076, in module_from_key | |
module = lnk.compile_cmodule(location) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/cc.py", line 1354, in compile_cmodule | |
preargs=preargs) | |
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/nvcc_compiler.py", line 434, in compile_str | |
return dlimport(lib_filename) | |
File "/usr/local/lib/python2.7/dist-packages/theano/gof/cmodule.py", line 293, in dlimport | |
rval = __import__(module_name, {}, {}, [module_name]) | |
RuntimeError: ('The following error happened while compiling the node', GpuDnnConv{workmem='small', inplace=True}(GpuContiguous.0, GpuContiguous.0, GpuAlloc{memset_0=True}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1), conv_mode='cross'}.0, Constant{1.0}, Constant{0.0}), '\n', 'could not create cuDNN handle: CUDNN_STATUS_NOT_INITIALIZED', "[GpuDnnConv{workmem='small', inplace=True}(<CudaNdarrayType(float32, 4D)>, <CudaNdarrayType(float32, 4D)>, <CudaNdarrayType(float32, 4D)>, <CDataType{cudnnConvolutionDescriptor_t}>, Constant{1.0}, Constant{0.0})]") |
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i have the question,how to solve it? thank you