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