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torchao init: do not load .so files for known incompatible torch version #2908

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Aug 29, 2025
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torchao init: do not load .so files for known incompatible torch version #2908

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54 changes: 37 additions & 17 deletions torchao/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,23 +22,43 @@

logger = logging.getLogger(__name__)

try:
from pathlib import Path

so_files = list(Path(__file__).parent.glob("_C*.so"))
if len(so_files) > 0:
for file in so_files:
torch.ops.load_library(str(file))
from . import ops

# The following library contains CPU kernels from torchao/experimental
# They are built automatically by ao/setup.py if on an ARM machine.
# They can also be built outside of the torchao install process by
# running the script `torchao/experimental/build_torchao_ops.sh <aten|executorch>`
# For more information, see https://github.com/pytorch/ao/blob/main/torchao/experimental/docs/readme.md
from torchao.experimental.op_lib import * # noqa: F403
except Exception as e:
logger.debug(f"Skipping import of cpp extensions: {e}")
skip_loading_so_files = False
# if torchao version has "+git", assume it's locally built and we don't know
# anything about the PyTorch version used to build it
# otherwise, assume it's prebuilt by torchao's build scripts and we can make
# assumptions about the PyTorch version used to build it.
if (not "+git" in __version__) and not ("unknown" in __version__):
# torchao v0.13.0 is built with PyTorch 2.8.0. We know that torchao .so
# files built using PyTorch 2.8.0 are not ABI compatible with PyTorch 2.9+.
# The following code skips importing the .so files if PyTorch 2.9+ is
# detected, to avoid crashing the Python process with "Aborted (core
# dumped)".
# TODO(#2901, and before next torchao release): make this generic for
# future torchao and torch versions
if __version__.startswith("0.13.0") and torch.__version__ > "2.8":
logger.warning(
f"Skipping import of cpp extensions due to incompatible torch version {torch.__version__} for torchao version {__version__}"
)
skip_loading_so_files = True

if not skip_loading_so_files:
try:
from pathlib import Path

so_files = list(Path(__file__).parent.glob("_C*.so"))
if len(so_files) > 0:
for file in so_files:
torch.ops.load_library(str(file))
from . import ops

# The following library contains CPU kernels from torchao/experimental
# They are built automatically by ao/setup.py if on an ARM machine.
# They can also be built outside of the torchao install process by
# running the script `torchao/experimental/build_torchao_ops.sh <aten|executorch>`
# For more information, see https://github.com/pytorch/ao/blob/main/torchao/experimental/docs/readme.md
from torchao.experimental.op_lib import * # noqa: F403
except Exception as e:
logger.warning(f"Skipping import of cpp extensions: {e}")

from torchao.quantization import (
autoquant,
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