You can generate random tensors in Theano:
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
srng = RandomStreams() # change the seed if you want
.
.
.
R1 = srng.normal(shape)
R2 = srng.normal(shape)
.
.
.
On Saturday, February 25, 2017 at 12:49:18 PM UTC+1, Asghar Inanlou Asl
wrote:
>
> Hi all,
> I need to make a shared variable and randomly initialize it. Obviously,
> the way to do it is to use numpy to generate a random matrix and then
> change it to shared variable via theano.shared()
> However, I cannot do it because the size of the random matrix is partly
> coming from a TensorVariable so numpy gets stuck in it.
> To be particular, I have a function which multiplies the input tensor in a
> random matrix (think about what a fully connected layer does). But the
> point is the shape of the tensor might be changing. And it needs to be a
> shared variable to that I can use it as one of the parameters of my updates.
> Any comments?
> Thanks!
>
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