AutomatosX's picture
Publish pinned CUDA TF32 inference source and example
fc27bf1 verified
Raw History Blame Contribute Delete
1.45 kB
# Copyright 2026 AutomatosX
# SPDX-License-Identifier: AGPL-3.0-only
# Modified 2026-10-19 for v1.3; prior component notices are in NOTICE.
"""Canonical 11-class layout taxonomy."""
from __future__ import annotations
from ax_doclayout.errors import TaxonomyError
TAXONOMY_ID = "ax-doclayout-11/1"
RESERVED_ID = 0
CLASS_NAMES: dict[int, str] = {
1: "caption",
2: "footnote",
3: "formula",
4: "list_item",
5: "page_footer",
6: "page_header",
7: "picture",
8: "section_header",
9: "table",
10: "text",
11: "title",
}
NAME_TO_ID: dict[str, int] = {name: class_id for class_id, name in CLASS_NAMES.items()}
def public_name(class_id: int) -> str:
if class_id == RESERVED_ID:
raise TaxonomyError("class_id_reserved")
try:
return CLASS_NAMES[class_id]
except KeyError as exc:
raise TaxonomyError("class_id_unknown") from exc
def public_id(class_name: str) -> int:
try:
return NAME_TO_ID[class_name]
except KeyError as exc:
raise TaxonomyError("class_name_unknown") from exc
def to_internal(class_id: int) -> int:
"""Map public 1–11 to zero-based indices 0–10."""
if class_id not in CLASS_NAMES:
raise TaxonomyError("class_id_unknown")
return class_id - 1
def from_internal(index: int) -> int:
class_id = index + 1
if class_id not in CLASS_NAMES:
raise TaxonomyError("class_id_unknown")
return class_id