Thank you Mr. Lamblin, you reply is helpful :) On Wednesday, November 23, 2016 at 8:02:10 AM UTC+8, Pascal Lamblin wrote: > > Hi, > > The only syntax we currently support in tensor.where is the one where > two additional argument are provided, like in: > > >>> numpy.where(a > 3, a, a + 3) > array([3, 4, 5, 6, 4, 5, 6, 7, 8, 9]) > > >>> x = tensor.vector() > >>> tensor.where(x > 3, x, x + 3).eval({x: a}) > array([ 3., 4., 5., 6., 4., 5., 6., 7., 8., 9.]) > > > If you want to reproduce the behaviour when only the condition is > provided, you can do that with nonzero: > >>> out, = tensor.nonzero(x > 3) > >>> out.eval({x: a}) > array([4, 5, 6, 7, 8, 9]) > > Note that Theano will return a tuple of 1 array if x.ndim == 1, whereas > numpy returns a single array. > > If you are interested in making the "nonzero" feature available from > "tensor.where", please let us know. > > On Tue, Nov 22, 2016, linzhe...@gmail.com <javascript:> wrote: > > Dear all, > > I wanna to use np.where in theano. However, it seems that > > theano.tensor.where is not doing the same things as numpy.where will do. > Is > > there any function i can use in theano? > > For example, > > > > a = numpy.arange(10) > > index = numpy.where(a>a[0]) > > > > How to implement the code above in theano? > > > > -- > > > > --- > > 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...@googlegroups.com <javascript:>. > > For more options, visit https://groups.google.com/d/optout. > > > -- > Pascal >
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