fix: support single .h5 file loading in load_h5
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@@ -26,6 +26,9 @@ def load_h5(file_path: str, share_memory=True) -> Dict[str, List[Tensor]]:
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tensor_group: Dict[str, List[Tensor]] = {}
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root_path = Path(file_path)
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if root_path.is_file() and root_path.suffix in (".h5", ".hdf5"):
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h5_files = [root_path]
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else:
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h5_files = list(root_path.rglob("*.h5")) + list(root_path.rglob("*.hdf5"))
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for h5_file in h5_files:
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