Esempio n. 1
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 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)
Esempio n. 2
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 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))
Esempio n. 3
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 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))
Esempio n. 4
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 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])