[theano-users] How to preallocate all required space on GPU ?

[Lucas Caccia]

Hi,

I'm currently using Theano and Lasagne, and I'm always facing the same
problem : whenever someone else launches a job on the same GPU, my process
gets kicked out : I get "error allocating X bytes of memory". At first, I
thought it was because I was loading 1 minibatch at a time, and another
process was grabbing the memory before I could fit the next minibatch on
the GPU. So, I'm now storing my dataset in a shared variable, and
referencing it with the "givens" keywork in my theano function. However,
I'm still facing the same allocation problem. Is there any way to
preallocate memory such that theano won't have to do so at every single
training batch iteration ?


Thanks,
Lucas