Enable import following in MYPY (now MYPYINDUCTOR) (#113830)

Summary:
Skipping importing some packages for now to make this change more
tractable.

For some reason, lintrunner on CI raises errors in all imported `.pyi` files,
even though it doesn't on my local machine. The errors are all from missing
generic types, as the MYPYINDUCTOR config has `disallow_any_generics`
set. I have thus added `disable-error-code` comments to the relevant files,
though I fixed a few that were easy enough.

X-link: pytorch/pytorch#113830
Approved by: https://github.com/Skylion007
ghstack dependencies: #113722, #113721

Reviewed By: huydhn

Differential Revision: D51444167

Pulled By: int3

fbshipit-source-id: 0f221fed326a448c59e4f7c1196ee2127ca47663

userbenchmark/dynamo/dynamobench/_dynamo/utils.py

@@ -1445,6 +1445,7 @@ def get_fake_value(node, tx, allow_non_graph_fake=False):
  If `True`, you must be prepared to deal with such return values, ideally
  by further wrapping them as this graph's fakes.
  """
+ from torch.utils._sympy.value_ranges import ValueRangeError
  from .exc import (
  TorchRuntimeError,
  unimplemented,
@@ -1518,7 +1519,7 @@ def get_fake_value(node, tx, allow_non_graph_fake=False):
  f"constrain_as_value OR constrain_as_size APIs. {cause}",
  case_name="constrain_as_size_example",
  )
- elif isinstance(cause, torch.utils._sympy.value_ranges.ValueRangeError):
+ elif isinstance(cause, ValueRangeError):
  raise UserError(UserErrorType.CONSTRAINT_VIOLATION, e.args[0]) from e
  raise TorchRuntimeError(str(e)).with_traceback(e.__traceback__) from None