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import threading
from contextlib import contextmanager
from typing import Iterator, Optional
# Simple dynamic scoping implementation. The name "parametrize" comes
# from Racket.
#
# WARNING WARNING: LOOKING TO EDIT THIS FILE? Think carefully about
# why you need to add a toggle to the global behavior of code
# generation. The parameters here should really only be used
# for "temporary" situations, where we need to temporarily change
# the codegen in some cases because we cannot conveniently update
# all call sites, and are slated to be eliminated once all call
# sites are eliminated. If you don't have a plan for how to get there,
# DON'T add a new entry here.
class Locals(threading.local):
use_const_ref_for_mutable_tensors: Optional[bool] = None
use_ilistref_for_tensor_lists: Optional[bool] = None
_locals = Locals()
def use_const_ref_for_mutable_tensors() -> bool:
assert _locals.use_const_ref_for_mutable_tensors is not None, (
"need to initialize local.use_const_ref_for_mutable_tensors with "
"local.parametrize"
)
return _locals.use_const_ref_for_mutable_tensors
def use_ilistref_for_tensor_lists() -> bool:
assert _locals.use_ilistref_for_tensor_lists is not None, (
"need to initialize local.use_ilistref_for_tensor_lists with "
"local.parametrize"
)
return _locals.use_ilistref_for_tensor_lists
@contextmanager
def parametrize(
*, use_const_ref_for_mutable_tensors: bool, use_ilistref_for_tensor_lists: bool
) -> Iterator[None]:
old_use_const_ref_for_mutable_tensors = _locals.use_const_ref_for_mutable_tensors
old_use_ilistref_for_tensor_lists = _locals.use_ilistref_for_tensor_lists
try:
_locals.use_const_ref_for_mutable_tensors = use_const_ref_for_mutable_tensors
_locals.use_ilistref_for_tensor_lists = use_ilistref_for_tensor_lists
yield
finally:
_locals.use_const_ref_for_mutable_tensors = (
old_use_const_ref_for_mutable_tensors
)
_locals.use_ilistref_for_tensor_lists = old_use_ilistref_for_tensor_lists
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