I am on version 1.0.1.
On Monday, March 5, 2018 at 3:41:04 PM UTC, Ming-Yee Tsang wrote:
>
> I am trying to build my model using a cost function based on eigenvalues
> of a symmetric (or possibly Hermitian) matrix. I get the eigenvalues using
> theano.tensor.nlinalg.eigh (and I tried theano.tensor.slinalg.eigvalsh with
> similar results), but when I try to take the gradient of the cost with
> respect to two shared variables, I get the error
> TypeError: Eigh{UPLO='L'}.grad illegally returned an integer-valued
> variable. (Input index 0, dtype complex128)
> I verified that cost and the shared variables have type float64, so where
> is the complex128 coming from?
>
--
---
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.
