When I use theano loop with RandomStream to generate random number， theano compile fail with “MissingInput”。
I Google this problem， and I found ： - a issue（https://github.com/Theano/Theano/issues/3437）。This issue said we cannot use RandomStream with symbolic shape in scan。 But I also found ： - a documentation int Theano （http://deeplearning.net/software/theano/library/scan.html#using-shared-variables-gibbs-sampling），the code in the documentation use RandomStream with symbolic shape in scan。 So，how to use theano scan with RandomStream。Thanks for your help here is my code。this code compile failed - import theano; - from theano import tensor as T; - import numpy as np; - - from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams; - - x=T.ivector(); - - def step(i): - sample=RandomStreams().binomial(size=(i,)); - return sample; - - result,_=theano.scan(fn=step,outputs_info=None, - sequences=[x]); - - f=theano.function([x],result); - - x_val=np.array([1,2,3],dtype='int32'); - print f(x_val); this code work fine - import theano; - from theano import tensor as T; - import numpy as np; - - from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams; - - x=T.ivector(); - len=x.shape[0]; - - def step(i): - len_=len; - sample=RandomStreams().binomial(size=(len_,)); - return sample; - - result,_=theano.scan(fn=step,outputs_info=None, - sequences=[x]); - - f=theano.function([x],result); - - x_val=np.array([1,2,3],dtype='int32'); - print f(x_val); -- --- 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.
