Compute more than one thing at the same time in theano.

This recipe helps you to compute more than one thing at the same time in theano.

Recipe Objective - How to compute more than one thing at the same time in theano?

Theano supports functions with multiple outputs. Let's try to compute addition and subtraction of two matrices at the same time.

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Example -

# Import libraries
import theano
from theano import tensor

# Creating two matrices
x, y = tensor.dmatrices('x', 'y')

# Creating expression for addition and subtraction
add = x + y
sub = x - y

# Convert the expression into a callable object that takes 'x' and 'y' matrices as input and computes addition and subtraction
multi_function = theano.function([x, y], [add,sub])

# Calling function
multi_function([[1, 1], [2, -4]],[[2,2],[3,3]])

Output -
[array([[ 3.,  3.],
        [ 5., -1.]]),
 array([[-1., -1.],
        [-1., -7.]])]

In this way, we can compute more than one thing at the same time in theano.

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