Using Theano dev version could help you. If that don't fix it, using Python 3.5 could help. It fixed problem we are not able to reproduce for some people.
Le sam. 17 juin 2017 21:51, Aaron Snoswell <aaron.snosw...@gmail.com> a écrit : > Hello. > > Thanks for the reply - I do indeed have mkl-service installed. I ran conda > update --all and am still getting the same results. If anyone has any other > suggestions I'm all ears. > > Thank you, > > On Tue, Jun 13, 2017 at 8:00 AM, Frédéric Bastien < > frederic.bast...@gmail.com> wrote: > >> This is not normal. >> >> Did you install the conda package mkl- service ? >> >> Try to update numpy. It could also help. >> >> Le lun. 12 juin 2017 07:52, Aaron Snoswell <aaron.snosw...@gmail.com> a >> écrit : >> >>> I'm working through the the DeepLearning.net tutorials using Windows 64 >>> bit, Python 3.6 and Theano installed through conda. >>> >>> I was able to run the Classifying MNIST digits using Logistic Regression >>> <http://deeplearning.net/tutorial/logreg.html> demo fine, and got the >>> same results as listed in the tutorial, hitting 4 epochs/second (about >>> double the listed CPU performance in the tutorial). I then tried running >>> the MLP tutorial code <http://deeplearning.net/tutorial/mlp.html> (classify >>> MNIST digits using a simple MLP). During execution, the process gobbles up >>> memory continuously until I get a MemoryError and the python crashes. >>> Watching the task manager, I will occasionally see the memory usage drop - >>> I assume this is the garbage collector kicking in, but it happens rarely. >>> >>> >>> <https://lh3.googleusercontent.com/-4EYsaeVqr_w/WT5-SyEMmWI/AAAAAAAAEZw/z3aqQrLFVVcdVfqfnlLDvvS7n8WH8Qt9QCLcB/s1600/theano-running-memory.PNG> >>> >>> I've tried adjusting the MLP 'batch_size' parameter; >>> >>> - With a value of 1000 (therefore n_train_batches == 50) the code >>> runs until the patience condition causes it to stop (no crash) >>> - With the default of 20 (n_train_batches == 2500) the code gets to >>> epoch 17 and crashes >>> - With a value of 10 (n_train_batches == 5000) I only get to epoch 3 >>> before it crashes >>> >>> Is this behavior expected with the hardware specs of the laptop I'm >>> running on? I've attached my DxDiag results here, but I've got 20GB of ram >>> on this machine. >>> >>> Just trying to figure out if this crashing behavior is expected, or if >>> I'm seeing a memory leak of some sort. >>> >>> Thanks. >>> >>> -- >>> >>> --- >>> 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. >>> >> -- >> >> --- >> You received this message because you are subscribed to a topic in the >> Google Groups "theano-users" group. >> To unsubscribe from this topic, visit >> https://groups.google.com/d/topic/theano-users/Rz408i5rx2k/unsubscribe. >> To unsubscribe from this group and all its topics, send an email to >> theano-users+unsubscr...@googlegroups.com. >> > >> For more options, visit https://groups.google.com/d/optout. >> > > > > -- > > Aaron Snoswell > > -- > > --- > 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. > -- --- 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.
