Sorry for the delay, I just re-ran it in a clean conda environnement, here
are my system specs:
OS: archlinux
nvidia: 390.25
cuda: 9.1.85
numpy: 1.14.0
pygpu: 0.7.5
theano: git master
.theanorc:
[global]
device = cuda
floatX = float32
warn_float64 = warn
on_opt_error = raise
[nvcc]
fastmath =
I'm not able to reproduce it.
On which OS? Which Theano version? Can you try a Theano version at least
1.0.1?
You can ignore this "error". Mostly, some optimization are skipped. But I
would still like to fix it.
I ran the tests like this:
THEANO_FLAGS=device=cuda,floatX=float32 nosetests
I'm using numpy 1.14.0 from the popular conda-forge repository. BTW, I was
wrong with the GPU/CPU distinction: the errror is triggered in either case.
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Thanks for the report. Which version of numpy do you use?
The problem seem related to your numpy version from the error message.
On Wed, Jan 24, 2018 at 5:05 AM wrote:
> Hi everyone,
>
> While using an OpFromGraph involving some operations with binary values,
>
Hi everyone,
While using an OpFromGraph involving some operations with binary values,
there is an optimization error:
theano.gof.opt: ERROR: Optimization failure due to: local_add_canonizer
> theano.gof.opt: ERROR: node:
> Elemwise{add,no_inplace}(InplaceDimShuffle{0,1,x}.0,
>