Thank you Mr. Pascal, it is very 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, [email protected] <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?
> >
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>
> --
> Pascal
>
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