[theano-users] theano mean for certain indices in a vector

[Shadekur Rahman]

I am quite new in theano. I am having problem to implement the following:

import theano.tensor as T
A = T.vector('A')
B = T.vector('B') #represents list of indices of A
C = T.scalar('C') #represents mean of A for certain indices stored in B
D = T.vector('D')
E = T.vector('E')
# E should be concatenation of C and D with length (D.length+1)
func = theano.function(inputs=[A,B,D],outputs=E)

Can anyone give me idea how to calculate C and E?

[Frédéric Bastien]

You must make your indices interger like `B = T.ivector('B')`.

With that, you can do indexing to select just the values you want:

A[B]

Thean compute the mean on them:

C = A[B].mean()

If E should be a vector, you can concatenate C and D like this:

theano.tensor.concatenate([C, D])

Frédéric

Post by Shadekur Rahman
import theano.tensor as T
A = T.vector('A')
B = T.vector('B') #represents list of indices of A
C = T.scalar('C') #represents mean of A for certain indices stored in B
D = T.vector('D')
E = T.vector('E')
# E should be concatenation of C and D with length (D.length+1)
func = theano.function(inputs=[A,B,D],outputs=E)
Can anyone give me idea how to calculate C and E?
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