code: def test_tree_map_multi_inputs(self, pytree_impl):
      def run_test(pytree):
          def f(x, y, z):
              return x, [y, (z, 0)]
  
          pytree_x = pytree
          pytree_y = pytree_impl.tree_map(lambda x: (x + 1,), pytree)
          pytree_z = pytree_impl.tree_map(
              lambda x: {"a": x * 2, "b": 2}, pytree
          )
  
          self.assertEqual(
              pytree_impl.tree_map(f, pytree_x, pytree_y, pytree_z),
              pytree_impl.tree_map(
                  lambda x: f(x, (x + 1,), {"a": x * 2, "b": 2}), pytree
              ),
          )
  
      cases = [
          [()],
          ([],),
          {"a": ()},
          {"a": 1, "b": [{"c": 2}]},
          {"a": 0, "b": [2, {"c": 3}, 4], "c": (5, 6)},
      ]
      for case in cases:
          run_test(case)
  
imports: import inspect
  import re
  import unittest
  from collections import defaultdict, deque, namedtuple, OrderedDict, UserDict
  import torch
  import torch.utils._pytree
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, IS_FBCODE, parametrize, run_tests, subtest, TEST_WITH_TORCHDYNAMO, TestCase
label_desc: Use image node_id 15 for calling the TestGenericPytree obj's underlying member method code with example usage: obj.test_tree_map_multi_inputs(pytree_impl) and returns: x,  list