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Latest development documentation · Updated 2026-10-08
Source code for tensorplay.onnx.errors
"""ONNX exporter exceptions."""
from __future__ import annotations
__all__ = [
"OnnxExporterWarning",
"OnnxExporterError",
"UnsupportedOperatorError",
]
[docs]
class OnnxExporterWarning(UserWarning):
"""Warnings raised during ONNX export."""
[docs]
class OnnxExporterError(RuntimeError):
"""Base class for errors raised by the ONNX exporter."""
[docs]
class UnsupportedOperatorError(OnnxExporterError, NotImplementedError):
"""Raised when a captured operation has no ONNX lowering."""
def __init__(self, name: str, version: int | None = None,
supported_version: int | None = None) -> None:
if version is not None and supported_version is not None:
msg = (
f"Exporting the operator '{name}' to ONNX opset version "
f"{version} is not supported. Support for this operator "
f"was added in opset version {supported_version}; try "
"exporting with that version"
)
elif version is not None:
msg = (
f"Exporting the operator '{name}' to ONNX opset version "
f"{version} is not supported"
)
else:
msg = (
f"ONNX export failed on the operator '{name}'. If this is "
"a custom operator, register a lowering for it before "
"exporting"
)
super().__init__(msg)Help improve this page
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