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fix: support single .h5 file loading in load_h5

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ViperEkura
2026-07-07 00:11:16 +08:00
parent 53ed52b4b8
commit 4af7acd449
1 changed files with 4 additions and 1 deletions
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astrai/serialization/dataset.py
+4 -1
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@@ -26,7 +26,10 @@ def load_h5(file_path: str, share_memory=True) -> Dict[str, List[Tensor]]:
tensor_group: Dict[str, List[Tensor]] = {} tensor_group: Dict[str, List[Tensor]] = {}
root_path = Path(file_path) root_path = Path(file_path)
h5_files = list(root_path.rglob("*.h5")) + list(root_path.rglob("*.hdf5")) if root_path.is_file() and root_path.suffix in (".h5", ".hdf5"):
h5_files = [root_path]
else:
h5_files = list(root_path.rglob("*.h5")) + list(root_path.rglob("*.hdf5"))
for h5_file in h5_files: for h5_file in h5_files:
with h5py.File(h5_file, "r") as f: with h5py.File(h5_file, "r") as f: