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chebbyChefNEQ
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| self._blob_columns = self._blob_columns() | ||
| if self._blob_columns: | ||
| self.with_row_id = True |
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we need row id to call dataset.take_blobs()
| for col in cols: | ||
| arr: pa.Array = batch[col] | ||
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| if isinstance(arr, list) and arr and isinstance(arr[0], lance.BlobFile): |
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Is there a way to check earlier? Like when constructing the loader?
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Yes we probably can. One way to do it is passing more parameters, but it makes user-specified to_tensor_fn more complicated.
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Support handling Blob data in PyTorch loader