def test06_objective_soft_max_gradient_X_sanity_test(self):
C, W, X = create_C_W_X()
try:
objective_soft_max_gradient_X(X, W, C)
self.assertTrue(True)
except:
self.assertTrue(False)
def test08_objective_soft_max_gradient_W_dimension_compare_with_naive(self):
C, W, X = create_C_W_X()
c1 = np.round(objective_soft_max_gradient_W_old_but_gold(X, W, C), 10)
c2 = np.round(objective_soft_max_gradient_W(X, W, C), 10)
self.assertTrue(array_equal(c1, c2))
def test07_objective_soft_max_gradient_X_dimension(self):
C, W, X = create_C_W_X()
exptected_shape = array([W.shape[0], X.shape[1]])
result_shape = objective_soft_max_gradient_X(X, W, C).shape
self.assertTrue(array_equal(exptected_shape, result_shape))
def test00_init_test(self):
C, W, X = create_C_W_X()
self.assertEqual(X.T.shape[1], W.shape[0]) # XT@W
self.assertEqual(C.shape[1], X.shape[1])
self.assertEqual(C.shape[0], W.shape[1])