def simulate(inputs, model):
space = VectorSpace(inputs.shape[1])
X = space.get_theano_batch()
Y = model.fprop(space.format_as(X, model.get_input_space()))
f = theano.function([X], Y)
result = []
for x in xrange(0, len(inputs), 100):
result.extend(f(inputs[x:x + 100]))
return result
