[theano-users] Re: tensor grad with respect to shared variable
You're right. Many thanks! On Thursday, May 18, 2017 at 11:59:17 AM UTC+2, phamminhquang pham wrote: > > I have tried following code and it's result confuse me. > > import theano > import theano.tensor as T > > import theano > import theano.tensor as T > > t = theano.shared(5,'t') > y = t ** 2 > grad = T.grad(y, wrt = t) > f = theano.function([],y) > g = theano.function([],grad) > print(f()) > print(g()) > > And i got 25 and 0.0 in return. However, the gradient must be 10. I think > there's some detail in tensor grad that i dont know. Could you please > explain to me what happened? > -- --- 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.
[theano-users] Re: tensor grad with respect to shared variable
t will have dtype "int64" because 5 is an integer. If you do t = theano.shared(5.,'t') # added period after 5 it should work On Thursday, May 18, 2017 at 2:59:17 AM UTC-7, phamminhquang pham wrote: > > I have tried following code and it's result confuse me. > > import theano > import theano.tensor as T > > import theano > import theano.tensor as T > > t = theano.shared(5,'t') > y = t ** 2 > grad = T.grad(y, wrt = t) > f = theano.function([],y) > g = theano.function([],grad) > print(f()) > print(g()) > > And i got 25 and 0.0 in return. However, the gradient must be 10. I think > there's some detail in tensor grad that i dont know. Could you please > explain to me what happened? > -- --- 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.
