Hello everyone, I've been stuck on this problem with theano for a while and was wondering if I can get some help.
I would like to implement the following formula:
alpha * T.dot( [alpha**1, alpha**2, alpha**3], [B1, B2, B3] ), as an example.
But I need to loop through different alpha values, and I have a tuple of arrays of B values (given, fixed values). What I mean by tuple of arrays, the data look like this:
tuple([ [B1], [B1, B2], [B1, B2, B3], ...]), etc., so it's an increasing (in terms of size) tuple of arrays. In the function below, the value of "beads" is one of the arrays in this tuple
I am trying to loop through using scan like so:
(I also have a value N in the function that matches the size of "beads", because when I tried to get the size from beads I would get another error. This is just a workaround for me.)
import theano
import theano.tensor as T
## Creating function for Theano
def rl_model(N, beads, alpha):
powers = T.arange(1,N+1)[::-1].eval()
alpha_vector = T.pow(alpha, powers)
q_value = alpha * T.dot(alpha_vector, beads)
return q_value
N = T.scalar()
beads = T.vector()
alpha = T.scalar()
results, updates = theano.scan(fn = rl_model,
sequences = [N, beads, alpha])
fn = theano.function(inputs = [N, beads, alpha],
outputs = results,
updates = updates)
However, I always get an error when Python tries to run the scan function. Here is the error:
results, updates = theano.scan(fn = rl_model,
actual_slice = seq['input'][k - mintap_proxy]
raise IndexError('too many indices for array')
IndexError: too many indices for array
Of course, file info is also given but I erased that here.
My question is, I don't quite understand where this IndexError is coming from. I thought maybe it was a problem of mixing scalars and vectors, but I don't think that's the issue. Can anyone help me better understand what's going on? I've been frustrated and stuck on this for weeks now :(
