that issue.
>
> >
> > On an unrelated note, your use case looks a lot like a convolution.
> > Maybe there is a way of expressing it by using the convolution operation
> > in Theano, which would be much more efficient than a for loop or scan.
> >
&g
I'm hitting this problem myself, as well.
Ubuntu 14.04
gcc 4.8.4
amdlibm-3.1
libopenblas-dev 0.2.8
Would appreciate any suggestions - running with amdlibm off for the moment.
Best,
Michael
On Friday, March 11, 2016 at 12:49:04 PM UTC-5, Pascal Lamblin wrote:
>
> On Fri, Mar 11, 2016, Juan
I'm attempting to write a differentiable, parameterized image rotation
layer in Theano with decent performance - as result I'm doing some slightly
unusual things in terms of indexing in order to get decent performance.
When I try to optimize the resulting theano graph using fast_run I get a
Hello all,
I've found a number of threads on this, but most of them are rather old or
refer to functions without updates, so I was hoping to check for some new
advice.
I have a function that performs some training via updates that I run on 16
different processes running 16 different GPUs -
You want to use the scan function as an accumulator. The accumulate by
adding example in the scan docs is functionally very similar. SIGMA_trf and
MU are your seqs variables.
On Friday, April 7, 2017 at 6:59:22 AM UTC-4, roman...@googlemail.com wrote:
>
> I need a for loop for calculating my
Typically people use the reparameterization trick to handle this. See the
original variational autoencoder paper, and example lasagne implementation
here:
https://github.com/Lasagne/Recipes/blob/master/examples/variational_autoencoder/variational_autoencoder.py#L92
On Friday, June 16, 2017 at
