def setUp(self):
self.initial = -2.0
self.approx_solution = 0.0
x = theano.shared(np.array(self.initial, dtype='float32'))
self.params = [x]
self.inputs = []
loss = -T.nnet.sigmoid(10.0 * x) * T.nnet.sigmoid(-10.0 * x)
self.loss = loss
x_sub = T.fscalar('x sub')
self.get_loss = theano.function([x_sub] + self.inputs, self.loss, givens=[(self.params[0], x_sub)])
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