Hi Pascal, Thanks for your comments. Could you show me how specify a different cache for each process? I would like to learn more on how to "manipulate" Theano's configuration.
On the other hand. I found the solution to the compilation problem as well to be able to run simultaneously three scripts. The original path were the scripts are located was: C:\Users\IMarroquin\Documents\My Python Scripts\MLP\Well_8_to_five_wells\Independent_Scripts. Because of the two blank spaces in "My Python Scripts", the cmodule.py was not able to correctly parse the entire path. Once, I replaced "My Python Scripts" by "My_Python_Scripts" the compilation error went away and I was able to run three jobs. Although it is not a bug, it is still a problem. It is very likely to have folders in windows with blank spaces in them. Perhaps, Theano developers will come with a solution to handle directory trees in windows. I found this related post: https://github.com/Theano/Theano/issues/5348 Thanks to all, On Thursday, April 12, 2018 at 11:01:38 AM UTC-5, Pascal Lamblin wrote: > > Hi, > > This is just an informative warning, because several scripts are trying > to compile and cache binaries at the same time. > The second time the script is run, the cache should be full and this > should not happen any more. > In any case, there should be no consequence on the computation or its > speed. > > If you specify a different cache for each process, you will get rid of > the messages, but each script will compile its own versions of the > binaries, so work will be duplicated and it is not clear that the > computation will actually start sooner. > > On 2018-04-11 04:49 PM, [email protected] <javascript:> wrote: > > Hi all, > > > > I have a windows machine with a kepler card. On this machine, I > > installed Conda 4.3.30 and theano 0.9.0 (along with its required > packages). > > > > I used neupy package as a front end to theano for implementing the > > neural network to train. > > > > I would like to run simultaneously three scripts - each of them trains > > the same neural network architecture on three different data sets. My > > first approach was to open three conda terminals to run the scripts. > > > > So, I let the first script to work for a short moment and then, I ran > > the second script. While I am waiting to run the third script, I noticed > > that the second script stopped and there was the following message on > > the conda terminal used to run the first script: > > > > WARNING (theano.gof.compilelock): Overriding existing lock by dead > > process '13168' (I am process '11140') > > > > The first script just continued working. > > > > any suggestion on how to solve this? or, on how to run several scripts > > simultaneously? > > > > many thanks, > > > > Ivan > > > > -- > > > > --- > > 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 [email protected] <javascript:> > > <mailto:[email protected] <javascript:>>. > > For more options, visit https://groups.google.com/d/optout. > > -- > Pascal Lamblin > -- --- 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 [email protected]. For more options, visit https://groups.google.com/d/optout.
