Update to Theano 1.0rc1. We updated error information heavily and I think
it will help your case:
https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end(gpuarray)

On Wed, Nov 1, 2017 at 9:37 AM Mathias Müller <this...@gmail.com> wrote:

> Hi,
>
> I am getting the following theano error:
>
> Traceback (most recent call last):
>   File "/home/user/mmueller/nematus-context2/nematus/nmt.py", line 1995,
> in <module>
>     train(**vars(args))
>   File "/home/user/mmueller/nematus-context2/nematus/nmt.py", line 1439,
> in train
>     grads = tensor.grad(cost, wrt=itemlist(updated_params))
>   File
> "/home/user/mmueller/.pythonz/pythons/CPython-2.7.13/lib/python2.7/site-packages/theano/gradient.py"
> , line 539, in grad
>     handle_disconnected(elem)
>   File
> "/home/user/mmueller/.pythonz/pythons/CPython-2.7.13/lib/python2.7/site-packages/theano/gradient.py"
> , line 526, in handle_disconnected
>     raise DisconnectedInputError(message)
> theano.gradient.DisconnectedInputError:
> Backtrace when that variable is created:
>
>   File "/home/user/mmueller/nematus-context2/nematus/nmt.py", line 1995,
> in <module>
>     train(**vars(args))
>   File "/home/user/mmueller/nematus-context2/nematus/nmt.py", line 1377,
> in train
>     tparams = init_theano_params(params)
>   File "/home/user/mmueller/nematus-context2/nematus/theano_util.py",
> line 57, in init_theano_params
>     tparams[kk] = theano.shared(params[kk], name=kk)
>
>
> As far as I understand, this means that I am requesting the gradient with
> respect to a variable that was not used to compute the cost.
>
> My model has a large number of theano variables, and I find the error
> message a bit uninformative. *How can I find out which variable is
> causing this error?*
>
> $ python -c "import theano; print theano.version.version"
> 0.9.0
>
>
> Thanks so much,
> Mathias
>
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