(self, model, test_h, test_t, test_r)

(x)

(self)

(self, alpha)

(self, bern)

(self, checkpoint_dir)

(self, dim)

(self, early_stopping_patience)

(self, rate)

(self, in_path)

(self, lmbda)

(self, margin)

(self, nbatches)

(self, opt_method)

(self, rate)

(self, result_dir)

(self, save_steps)

(self, test_link)

(self, test_triple)

(self, model)

(self, train_times)

(self, valid_steps)

(self, work_threads)

(self)

(self, s_a, x_a, y_a, z_a, s_b, x_b, y_b, z_b)

(self, lmbda_two)

(self, lhs, rel, rhs, forward=True)

(self, e_1_h, e_2_h, e_3_h, e_4_h, e_5_h, e_6_h, e_7_h, e_8_h, e_1_t, e_2_t, e_3_t, e_4_t, e_5_t

(self, s_a, x_a, y_a, z_a, s_c, x_c, y_c, z_c, s_b, x_b, y_b, z_b)

(self, a, b, c, d)

(self, in_features, out_features, criterion='he')

(self, model)

(self, a_1, a_2, a_3, a_4, b_1, b_2, b_3, b_4, c_1, c_2, c_3, c_4, d_1, d_2, d_3, d_4)

(self, r_1, r_2, r_3, r_4, r_5, r_6, r_7, r_8 )

(self, param_dict, mode="numpy")

(self)

(self)

(self)

(self, score, regul, regul2)

(self, score, regul, regul2)

(self)

(self)

(self, best_model)

(self, model, epoch)

(self, best_model)

(self, model, path=None)

(self)

(self)

(self)

( self, sizes: Tuple[int, int, int], rank: int, init_size: float = 1e-3 )

(self, config)

(self, config)

(self, config)

(self)

(self, name)

(self, x)

(self)

(self)

(self)

(self, score)

(self, score)

(self, queries: torch.Tensor)

(self, chunk_begin: int, chunk_size: int)