blob: f2cf9a1a2e764ab69c6e4625742d31a66c53640b [file] [log] [blame]
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# pyre-strict
"""
Helper functions for constructing a "leaf function" in FX graph. A "leaf
function" will be preserved as a call node in the the graph instead of
being traced through.
"""
import torch
from executorch.exir.tracer import PythonTensor, unwrap_functional
# pyre-fixme[21]: Could not find module `torch._C._functorch`.
from torch._C._functorch import ( # @manual=//caffe2/functorch:functorch"
is_functionaltensor,
)
from torch._functorch.eager_transforms import _assert_wrapped_functional # pyre-ignore
def update_with_proxy(t: torch.Tensor, proxy: torch.fx.Proxy) -> torch.Tensor:
unwrapped = unwrap_functional(t)
assert isinstance(unwrapped, PythonTensor)
unwrapped.update_proxy(proxy)
if is_functionaltensor(t): # type: ignore
_assert_wrapped_functional(unwrapped, t)
return t