def test_golden_search_function(self):
def f(x):
return tf.sin(x) * x ** -0.5
def check_updates(step):
return f(3 + step)
best_step = fmin_golden_search(check_updates)
self.assertAlmostEqual(1.6, self.eval(best_step), places=2)
best_step = fmin_golden_search(check_updates, maxstep=1)
self.assertAlmostEqual(1, self.eval(best_step), places=2)
def test_golden_search_function(self):
def f(x):
return T.sin(x) * x ** -0.5
def check_updates(step):
return f(3 + step)
best_step = fmin_golden_search(check_updates)
self.assertAlmostEqual(1.6, best_step.eval(), places=2)
best_step = fmin_golden_search(check_updates, maxstep=1)
self.assertAlmostEqual(1, best_step.eval(), places=2)
def test_golden_search_exceptions(self):
invalid_parameters = (
dict(tol=-1),
dict(minstep=-1),
dict(maxstep=-1),
dict(maxiter=-1),
dict(tol=0),
dict(minstep=0),
dict(maxstep=0),
dict(maxiter=0),
)
for params in invalid_parameters:
with self.assertRaises(ValueError):
fmin_golden_search(lambda x: x, **params)
with self.assertRaises(ValueError):
fmin_golden_search(lambda x: x, minstep=10, maxstep=1)
def test_golden_search_exceptions(self):
invalid_parameters = (
dict(tol=-1),
dict(minstep=-1),
dict(maxstep=-1),
dict(maxiter=-1),
dict(tol=0),
dict(minstep=0),
dict(maxstep=0),
dict(maxiter=0),
)
for params in invalid_parameters:
with self.assertRaises(ValueError):
fmin_golden_search(lambda x: x, **params)
with self.assertRaises(ValueError):
fmin_golden_search(lambda x: x, minstep=10, maxstep=1)
