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fix(python): correct type hint for to_tensor_fn parameter #5577

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fix(python): correct type hint for to_tensor_fn parameter #5577

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fix(python): correct type hint for to_tensor_fn parameter
AndreaBozzo Dec 24, 2025
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fix(python): update type hint for to_tensor_fn parameter to be less g…
AndreaBozzo Jan 2, 2026
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7 changes: 6 additions & 1 deletion python/python/lance/torch/data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,7 +193,9 @@ def __init__(
shard_granularity: Optional[Literal["fragment", "batch"]] = None,
batch_readahead: int = 16,
to_tensor_fn: Optional[
Callable[[pa.RecordBatch], Union[dict[str, torch.Tensor], torch.Tensor]]
Callable[
[pa.RecordBatch, ...], Union[dict[str, torch.Tensor], torch.Tensor]
]
] = _to_tensor,
sampler: Optional[Sampler] = None,
auto_detect_rank: bool = True,
Expand Down Expand Up @@ -236,6 +238,9 @@ def __init__(
A function that samples the dataset.
to_tensor_fn : callable, optional
A function that converts a pyarrow RecordBatch to torch.Tensor.
Should accept a batch (RecordBatch or Dict[str, pa.Array]) as the first
argument, plus optional keyword arguments ``hf_converter`` and
``use_blob_api``.
auto_detect_rank: bool = True, optional
If set true, the rank and world_size will be detected automatically.
"""
Expand Down