I answered in the other email on this subject.
On Mon, Jan 16, 2017 at 9:57 AM, Peter O'Connor
wrote:
> Hi all.
>
> There's some really unintuitive/inconsistent behaviour with theano's scan
> and I'm wondering how I should work around it.
>
> Take the following test,
Thanks for the idea.
At a few places, we allow to pass return_list=True to force the return a of
list. I added that option to scan in that PR:
https://github.com/Theano/Theano/pull/5420
Why we don't always return a list? It is because the best interface depend
of what you want. If you use
Hi.
I have been trying to develop imagenet, I have the base of LENET and
modifying it and adding things I would like to get Imagenet. My problem is
that weights are not updated so the network does not learn and I can not
figure out where the problem is and I do not know what to do! I am really
Hi all.
There's some really unintuitive/inconsistent behaviour with theano's scan
and I'm wondering how I should work around it.
Take the following test, which I would expect to pass:
import theano
import theano.tensor as tt
def test_scan_tuple_output():
x = tt.matrix()
def
Hi all.
There's some really unintuitive/inconsistent behaviour with theano's scan
and I'm wondering how I should work around it.
Take the following test, which I would expect to pass:
import theano
import theano.tensor as tt
def test_scan_tuple_output():
x = tt.matrix()
def
Which version of Theano do you use? Can you confirm you use Theano
development version? 0.9.devN?
Fred
On Mon, Jan 16, 2017 at 3:11 AM, sang hyun Yoon wrote:
> can i help..
> Thank you..
>
> WARNING (theano.gof.cmodule): OPTIMIZATION WARNING: Theano was not able to
> find the
I also need it for some experience. Can u post it to me?thanks.
在 2014年4月22日星期二 UTC+8下午1:29:45,Sank写道:
>
> I need it. Can u post it?
>
> On Saturday, 19 April 2014 03:08:14 UTC+5:30, Sid wrote:
>>
>> Hi Fred,
>>
>> I implemented it myself, I can post it here if anybody needs.
>> Thanks :)
>>
Thinking of a different design:
1. Master python process builds and compiles all theano functions like
normal (for GPU), and pickles them.
2. Worker processes initialize on other GPUs and unpickle all the functions.
3. User calls wrapped theano functions in master process, which signals to