I installed the updated Theano version with* "*fix a change to gpuarray conv from gh-5069. dnn conv wasn't working a… #5108" in theano/gpuarray/opt.py
It doesn't work *.*This is the output *:*Python 2.7.12 |Continuum Analytics, Inc.| (default, Jul 2 2016, 17:42:40) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 Type "help", "copyright", "credits" or "license" for more information. Anaconda is brought to you by Continuum Analytics. Please check out: http://continuum.io/thanks and https://anaconda.org >>> runfile('/home/luca/data/DeepLearningTutorials/Theano-3D-Convnet-master/convnet3d/core/run_multi_conv_t.py', wdir='/home/luca/data/DeepLearningTutorials/Theano-3D-Convnet-master/convnet3d/core') Mapped name None to device cuda: Tesla K40c Using cuDNN version 5103 on context None Disabling C code for Elemwise{mul,no_inplace} due to unsupported float16 Disabling C code for Elemwise{Cast{float32}} due to unsupported float16 Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/luca/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py", line 866, in runfile execfile(filename, namespace) File "/home/luca/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py", line 94, in execfile builtins.execfile(filename, *where) File "/home/luca/data/DeepLearningTutorials/Theano-3D-Convnet-master/convnet3d/core/run_multi_conv_t.py", line 32, in <module> run_experiments() File "/home/luca/data/DeepLearningTutorials/Theano-3D-Convnet-master/convnet3d/core/run_multi_conv_t.py", line 25, in run_experiments Learning_rate=0.001 File "mpr_convnet_class_t.py", line 218, in __init__ train_model = theano.function([x,y],cost, updates=updates) File "/home/luca/data/Theano-master/theano/compile/function.py", line 326, in function output_keys=output_keys) File "/home/luca/data/Theano-master/theano/compile/pfunc.py", line 486, in pfunc output_keys=output_keys) File "/home/luca/data/Theano-master/theano/compile/function_module.py", line 1777, in orig_function defaults) File "/home/luca/data/Theano-master/theano/compile/function_module.py", line 1644, in create input_storage=input_storage_lists, storage_map=storage_map) File "/home/luca/data/Theano-master/theano/gof/link.py", line 699, in make_thunk storage_map=storage_map)[:3] File "/home/luca/data/Theano-master/theano/gof/vm.py", line 1053, in make_all impl=impl)) File "/home/luca/data/Theano-master/theano/gof/op.py", line 924, in make_thunk no_recycling) File "/home/luca/data/Theano-master/theano/gof/op.py", line 824, in make_c_thunk no_recycling=e_no_recycling) File "/home/luca/data/Theano-master/theano/gof/cc.py", line 563, in accept self.fetch_variables() File "/home/luca/data/Theano-master/theano/gof/cc.py", line 589, in fetch_variables params = node.run_params() File "/home/luca/data/Theano-master/theano/gof/graph.py", line 129, in run_params return self.op.get_params(self) File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line 215, in get_params ptr = get_prop(self.dnn_context(node), 'cudnn_handle').value File "/home/luca/data/Theano-master/theano/gpuarray/type.py", line 114, in get_prop return _get_props(name)[k] *KeyError*: ('The following error happened while compiling the node', GpuDnnConv{algo='none', inplace=True}(GpuContiguous.0, GpuContiguous.0, GpuAllocEmpty{dtype='float16', context_name=None}.0, GpuDnnConvDesc{border_mode='valid', subsample=(1, 1, 1), conv_mode='conv', precision='float32'}.0, Constant{1.0}, Constant{0.0}), '\n', 'cudnn_handle') -- --- 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.
