Add time attention mask handling and baseline class time computation to DeepHealth model

This commit is contained in:
2026-06-15 14:35:10 +08:00
parent c3e49db859
commit 36ec36c8a8
3 changed files with 202 additions and 6 deletions

128
clean_dataset_cache.py Normal file
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from __future__ import annotations
import argparse
import os
import pickle
from pathlib import Path
from typing import Any
CURRENT_CACHE_VERSIONS = {
"next_step": 3,
"all_future": 5,
}
def infer_cache_kind(path: Path) -> str | None:
name = path.name
for kind in CURRENT_CACHE_VERSIONS:
marker = f"_{kind}_cache_"
if marker in name:
return kind
return None
def read_cache_version(path: Path) -> int | None:
try:
with path.open("rb") as f:
payload: Any = pickle.load(f)
except Exception:
return None
if not isinstance(payload, dict):
return None
version = payload.get("_cache_version")
try:
return int(version)
except (TypeError, ValueError):
return None
def should_remove(path: Path, remove_all: bool) -> tuple[bool, str]:
kind = infer_cache_kind(path)
if kind is None:
return False, "not a DeepHealth dataset cache"
if remove_all:
return True, "remove all dataset caches"
version = read_cache_version(path)
expected = CURRENT_CACHE_VERSIONS[kind]
if version is None:
return True, f"{kind} cache is unreadable or missing _cache_version"
if version != expected:
return True, f"{kind} cache version {version} != current {expected}"
return False, f"{kind} cache version {version} is current"
def iter_cache_files(root: Path, recursive: bool):
pattern = "**/*_cache_*.pkl" if recursive else "*_cache_*.pkl"
yield from root.glob(pattern)
def main() -> None:
parser = argparse.ArgumentParser(
description=(
"Remove obsolete DeepHealth dataset cache files. Defaults to dry-run; "
"pass --apply to delete."
)
)
parser.add_argument(
"--data_dir",
type=Path,
default=Path("."),
help="Directory containing dataset cache files, usually the data_prefix directory.",
)
parser.add_argument(
"--recursive",
action="store_true",
help="Search recursively under data_dir.",
)
parser.add_argument(
"--all",
action="store_true",
help="Remove all recognized DeepHealth dataset caches, including current ones.",
)
parser.add_argument(
"--apply",
action="store_true",
help="Actually delete files. Without this flag, only prints what would be removed.",
)
args = parser.parse_args()
root = args.data_dir.expanduser().resolve()
if not root.exists() or not root.is_dir():
raise SystemExit(f"data_dir is not a directory: {root}")
files = sorted(p for p in iter_cache_files(root, args.recursive) if p.is_file())
if not files:
print(f"No *_cache_*.pkl files found under {root}")
return
kept = 0
removed = 0
candidates = 0
for path in files:
remove, reason = should_remove(path, remove_all=bool(args.all))
rel = os.path.relpath(path, root)
if remove:
candidates += 1
action = "DELETE" if args.apply else "WOULD_DELETE"
print(f"{action}\t{rel}\t{reason}")
if args.apply:
path.unlink()
removed += 1
else:
kept += 1
print(f"KEEP\t{rel}\t{reason}")
if args.apply:
print(f"Removed {removed} cache file(s); kept {kept}.")
else:
print(
f"Dry run: {candidates} cache file(s) would be removed; kept {kept}. "
"Re-run with --apply to delete."
)
if __name__ == "__main__":
main()