673             result = api(foo, x, vectorize=True)
686     def test_jacobian_err_check(self, vectorize, ctors):  argument
697             res = autogradF.jacobian(foo, (inp, 2), vectorize=vectorize)
703             res = autogradF.jacobian(bar, inp, vectorize=vectorize)
705         res = autogradF.jacobian(foo, inp, vectorize=vectorize)
713         res = autogradF.jacobian(foo, inp, vectorize=vectorize)
765             res = autogradF.jacobian(foo, inp, strict=True, vectorize=True)
784     def test_jacobian_output(self, vectorize, ctors):  argument
789         res = autogradF.jacobian(exp_reducer, inputs, vectorize=vectorize)
797         res = autogradF.jacobian(identity, inputs, vectorize=vectorize)
806         res = autogradF.jacobian(add_exp_reducer, inputs, vectorize=vectorize)
812     def test_jacobian_scalar(self, vectorize, ctors):  argument
817         res = autogradF.jacobian(reducer, inputs, vectorize=vectorize)
824         res = autogradF.jacobian(expander, inputs, vectorize=vectorize)
829     def test_jacobian_create_graph(self, vectorize, ctors):  argument
835             exp_reducer, inputs, create_graph=True, vectorize=vectorize
842                 exp_reducer, inp, create_graph=True, vectorize=vectorize
848                 exp_reducer, inp, create_graph=True, vectorize=vectorize
861             add_exp_reducer, inputs, create_graph=True, vectorize=vectorize
869                 add_exp_reducer, inp, create_graph=True, vectorize=vectorize
875                 add_exp_reducer, inp, create_graph=True, vectorize=vectorize
883                 add_exp_reducer, (x, y), create_graph=True, vectorize=vectorize
894         expected = autogradF.jacobian(f, inputs, vectorize=False)
895         result_backward_mode = autogradF.jacobian(f, inputs, vectorize=True)
900                 f, inputs, strategy="forward-mode", vectorize=True
986         expected = autogradF.hessian(f, inputs, vectorize=False)
987         result = autogradF.hessian(f, inputs, vectorize=True)
991             f, inputs, outer_jacobian_strategy="forward-mode", vectorize=True
1033     def test_hessian_err_check(self, vectorize, ctors):  argument
1050             res = autogradF.hessian(foo, (inp, 2), vectorize=vectorize)
1055             res = autogradF.hessian(bar, inp, vectorize=vectorize)
1059             res = autogradF.hessian(bar2, inp, vectorize=vectorize)
1064             res = autogradF.hessian(bar3, inp, vectorize=vectorize)
1066         res = autogradF.hessian(foo, inp, vectorize=vectorize)
1074         res = autogradF.hessian(foo, inp, vectorize=vectorize)
1125             res = autogradF.hessian(foo, inp, strict=True, vectorize=True)
1150     def test_hessian_output(self, vectorize, ctors):  argument
1155         res = autogradF.hessian(pow_reducer, inputs, vectorize=vectorize)
1163         res = autogradF.hessian(add_pow_reducer, inputs, vectorize=vectorize)
1172     def test_hessian_scalar(self, vectorize, ctors):  argument
1177         res = autogradF.hessian(reducer, inputs, vectorize=vectorize)
1181         res = autogradF.hessian(reducer, inputs, vectorize=vectorize)
1188         res = autogradF.hessian(bad_reducer, inputs, vectorize=vectorize)
1193     def test_hessian_create_graph(self, vectorize, ctors):  argument
1199             pow_reducer, inputs, create_graph=True, vectorize=vectorize
1206                 pow_reducer, inp, create_graph=True, vectorize=vectorize
1212                 pow_reducer, inp, create_graph=True, vectorize=vectorize
1225             add_pow_reducer, inputs, create_graph=True, vectorize=vectorize
1239                     add_pow_reducer, inp, create_graph=True, vectorize=vectorize
1247                     add_pow_reducer, inp, create_graph=True, vectorize=vectorize
1256                 add_pow_reducer, (x, y), create_graph=True, vectorize=vectorize