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 <[email protected]> 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.
>
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