code: def test_dump_tensor(self):
      def test(tensor, expected):
          with tempfile.TemporaryDirectory() as d:
              writer = InputWriter(d, stable_hash=True)
              writer.tensor("x", tensor)
              self.assertExpectedInline(
                  "\n".join(writer._lines), expected, skip=1
              )
              reader = InputReader(d)
              env = {"reader": reader, "torch": torch}
              # TODO: assert no logs
              exec("\n".join(writer._lines), env)
              self.assertEqual(reader.args[0], tensor)
  
      test(
          torch.zeros(3, 4),
          """\
  buf0 = reader.storage('c17fd92682ca5b304ac71074b558dda9e8eb4d66', 48)
  reader.tensor(buf0, (3, 4), is_leaf=True)  # x""",
      )
      test(
          torch.ones(3, 4, dtype=torch.int32),
          """\
  buf0 = reader.storage('7c221e2da0c58c700cc2996644dd13d042bd552e', 48, dtype_hint=torch.int32)
  reader.tensor(buf0, (3, 4), dtype=torch.int32, is_leaf=True)  # x""",
      )
      test(
          torch.empty(
              (3, 4, 5, 6), memory_format=torch.channels_last
          ).fill_(2),
          """\
  buf0 = reader.storage('49ebab3961d6221e64c4c72b0aefd976bdd2afc4', 1440)
  reader.tensor(buf0, (3, 4, 5, 6), (120, 1, 24, 4), is_leaf=True)  # x""",
      )
  
file_path: pytorch/test/dynamo/test_after_aot.py
imports: import io
  import os
  import shutil
  import sys
  import tempfile
  import unittest
  import torch._dynamo.test_case
  from torch._dynamo.repro.after_aot import InputReader, InputWriter, save_graph_repro
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing._internal.common_utils import IS_FBCODE
  from torch.utils._traceback import report_compile_source_on_error
label_desc: Use image node_id 2 for calling the TestAfterAot obj's underlying member method code with example usage: obj.test_dump_tensor() without return types