It's hard to know from that level, but somewhere there is a shared variable that is a row (1 x n matrix), and its update value is a full matrix (k x m). This could be a parameter of the model, or a value updated by the optimizer (something like a velocity). It is possible that the update value is actually always 1 x n, but Theano could not infer that (in which case, this is an issue in Theano and we should fix it), in that case you can use tensor.addbroadcast() on the update expression (it will fail if k != 1 at runtime). It is also possible that k != 1, in which case it is a problem in the model itself.
On Friday, June 23, 2017 at 3:43:39 AM UTC-4, Vimal K wrote: > > > > i am trying to run this program https://github.com/npow/ubottu for > making a model for Ubuntu Dialog Corpus > > It uses Theano and Lasagne as dependencies. > > when i install Theano and Lasagne from pip, and do a simple > > import lasagne > > > i get the error > > from theano.tensor.signal import downsampleImportError: cannot import name > 'downsample' > > > then found a workaround here, > https://stackoverflow.com/questions/42998355/lasagne-vs-theano-possible-version-mismatch-windows > suggestion was to install Theano and Lasagne from their github master > branches respectively > > pip install --upgrade https://github.com/Theano/Theano/archive/master.zip > pip install --upgrade https://github.com/Lasagne/Lasagne/archive/master.zip > > > This removed the above erorr, but i am getting the following error. > > > TypeError: ('An update must have the same type as the original shared > variable (shared_var=hid_init, shared_var.type=TensorType(float64, row), > update_val=Elemwise{sub,no_inplace}.0, update_val.type=TensorType(float64, > matrix)).', 'If the difference is related to the broadcast pattern, you > can call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function > to remove broadcastable dimensions.') > > > > it seems that there is a type mismatch somewhere. a variable of row type > is updated with a value of matrix type. Full traceback as follows : > > Traceback (most recent call last): > File "main.py", line 669, in <module> > main() > File "main.py", line 661, in main > model = Model(**args.__dict__) > File "main.py", line 375, in __init__ > self.update_params() > File "main.py", line 408, in update_params > self.train_model = theano.function([], self.cost, updates=updates, > givens=givens, on_unused_input='warn') > File > "/home/vimal/anaconda2/lib/python2.7/site-packages/theano/compile/function.py" > , line 326, in function > output_keys=output_keys) > File > "/home/vimal/anaconda2/lib/python2.7/site-packages/theano/compile/pfunc.py" > , line 449, in pfunc > no_default_updates=no_default_updates) > File > "/home/vimal/anaconda2/lib/python2.7/site-packages/theano/compile/pfunc.py" > , line 208, in rebuild_collect_shared > raise TypeError(err_msg, err_sug) > TypeError: ('An update must have the same type as the original shared > variable (shared_var=cell_init, shared_var.type=TensorType(float64, row), > update_val=Elemwise{sub,no_inplace}.0, update_val.type=TensorType(float64, > matrix)).', 'If the difference is related to the broadcast pattern, you > can call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function > to remove broadcastable dimensions.') > > > > > > > the versions are > >>> import theano as th > >>> print th.__version__ > 0.10.0dev1.dev-RELEASE > > > >>> import lasagne as la > >>> print la.__version__ > 0.2.dev1 > > > > > > > Can you help me to resolve this error? > -- --- 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.
