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chore: import upstream snapshot with attribution
2026-07-13 12:41:19 +08:00

73 lines
2.2 KiB
Python

# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import textwrap
from typing import Any
from onnx.reference.op_run import OpFunction, OpRun
from onnx.reference.ops._helpers import build_registered_operators_any_domain
from onnx.reference.ops.experimental.op_im2col import Im2Col # noqa: F401
def _build_registered_operators() -> dict[str, dict[int | None, type[OpRun]]]:
return build_registered_operators_any_domain(globals().copy())
def load_op(
domain: str,
op_type: str,
version: None | int,
custom: Any = None,
) -> Any:
"""Loads the implemented for a specified operator.
Args:
domain: domain
op_type: operator type
version: requested version
custom: custom implementation (like a function)
Returns:
class
"""
global _registered_operators # noqa: PLW0603
if _registered_operators is None:
_registered_operators = _build_registered_operators()
if custom is not None:
return lambda *args: OpFunction(*args, impl=custom)
if domain != "experimental":
raise ValueError(f"Domain must be '' not {domain!r}.")
if op_type not in _registered_operators:
available = "\n".join(textwrap.wrap(", ".join(sorted(_registered_operators))))
raise NotImplementedError(
f"No registered implementation for operator {op_type!r} "
f"and domain {domain!r} in\n{available}"
)
impl = _registered_operators[op_type]
if None not in impl:
raise RuntimeError(
f"No default implementation for operator {op_type!r} "
f"and domain {domain!r}, found "
f"{', '.join(map(str, impl))}."
)
if version is None or len(impl) == 1:
return impl[None]
best = -1
for v in impl:
if v is None:
continue
if best < v <= version:
best = v
if best == -1:
raise RuntimeError(
f"No implementation for operator {op_type!r} "
f"domain {domain!r} and version {version!r}, found "
f"{', '.join(map(str, impl))}."
)
return impl[best]
_registered_operators: dict[str, dict[int | None, type[OpRun]]] | None = None