Hi,
I'm trying to write my own version of the Rnn-rbm model
(http://deeplearning.net/tutorial/code/rnnrbm.py) so that i can make some
modifications.
Since I failed to reproduce the same results with my implementation, i
wanted to observe some variables, among them v_sample.
To do so, i compile a function :
self.*obs = theano.function(inputs=[v],*
* outputs=[v_sample]*
* )*
that i inserted line 239, right after this part :
(v, v_sam*ple, cost, monitor, params, updates_train, v_t,*
* updates_generate, bv_t, bh_t, fe_positive, fe_negative) = \*
* build_rnnrbm(*
* r[1] - r[0],*
* n_hidden,*
* n_hidden_recurrent*
* )*
However, i got the following error, which suggests that an input of the
graph is missing :
theano.gof.fg.MissingInpu*tError: A variable that is an input to the graph
was neither provided as an input to the function nor given a value. A chain
of variables leading from this input to an output is [v[t-1], dot.0,
Elemwise{add,no_inplace}.0, sigmoid.0, Shape.0, RandomFunction{binomial}.1,
dot.0, Elemwise{add,no_inplace}.0, sigmoid.0, Shape.0,
RandomFunction{binomial}.0]. This chain may not be unique*
*Backtrace when the variable is created:*
* File "test_dd.py", line 344, in <module>*
* model = test_rnnrbm()*
* File "test_dd.py", line 336, in test_rnnrbm*
* model = RnnRbm()*
* File "test_dd.py", line 236, in __init__*
* n_hidden_recurrent*
* File "test_dd.py", line 187, in build_rnnrbm*
* build_rbm(v, W, bv_t[:], bh_t[:], k=15)*
* File "test_dd.py", line 82, in build_rbm*
* n_steps=k)*
Why ? Using pydotprint, i looked at the graph for v_sample, it is clear
that v should is the only input node...
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