If you look at the error the shapes don't match. the conv_out is 1x32x16x16 while the bias is 1x1x1x32. I guess your bias you did wrong the dimshuffle.
On Saturday, 8 July 2017 01:53:58 UTC+1, zxzh...@gmail.com wrote: > > conv_out is the output of dnn.dnn_conv. I tried to add the bias to the > w^T*x. But it reports me an error: > > > > Running network... > Traceback (most recent call last): > > File "<ipython-input-8-b830fbb18105>", line 1, in <module> > > runfile('/space/xzhang/git_cnn_conversion/MyLasagneCode_CIFAR10/test_convnet_binary_bias.py', > > wdir='/space/xzhang/git_cnn_conversion/MyLasagneCode_CIFAR10') > > File > "/space/xzhang/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py", > > line 866, in runfile > execfile(filename, namespace) > > File > "/space/xzhang/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py", > > line 94, in execfile > builtins.execfile(filename, *where) > > File > "/space/xzhang/git_cnn_conversion/MyLasagneCode_CIFAR10/test_convnet_binary_bias.py", > > line 161, in <module> > main(**kargs) > > File > "/space/xzhang/git_cnn_conversion/MyLasagneCode_CIFAR10/test_convnet_binary_bias.py", > > line 107, in main > dt=dt, max_rate=1000, proc_fn=get_output, reset_fn=final_dense) > > File "spike_tester_theano.py", line 128, in run_tester > out_mem, t, Ntransmittedspikes, conv1_spikes, conv2_spikes, > conv3_spikes = proc_fn(inp_images.astype('float32'), float(t)) > > File > "/space/xzhang/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py", > > line 898, in __call__ > storage_map=getattr(self.fn, 'storage_map', None)) > > File > "/space/xzhang/anaconda2/lib/python2.7/site-packages/theano/gof/link.py", > line 325, in raise_with_op > reraise(exc_type, exc_value, exc_trace) > > File > "/space/xzhang/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.py", > > line 884, in __call__ > self.fn() if output_subset is None else\ > > > ValueError: GpuElemwise. Input dimension mis-match. Input 1 (indices start > at 0) has shape[3] == 32, but the output's size on that axis is 16. > Apply node that caused the error: GpuElemwise{Add}[(0, > 0)]<gpuarray>(GpuSubtensor{::, ::, int64:int64:, int64:int64:}.0, > InplaceGpuDimShuffle{x,x,x,0}.0) > Toposort index: 250 > Inputs types: [GpuArrayType<None>(float32, 4D), > GpuArrayType<None>(float32, (True, True, True, False))] > Inputs shapes: [(1, 32, 16, 16), (1, 1, 1, 32)] > Inputs strides: [(51200, 1600, 80, 4), (128, 128, 128, 4)] > Inputs values: ['not shown', 'not shown'] > Outputs clients: [[HostFromGpu(gpuarray)(GpuElemwise{Add}[(0, > 0)]<gpuarray>.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.