Add (implicit) handling for torch tensors in is_scalar #14623
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PyTorch tensors advertise that they support the number API, and hence answer "True" to the question pd.api.types.is_scalar(torch_tensor). This trips up some of our data ingest, since in as_index we check if the input is a scalar (and raise) before handing off to as_column. To handle this, if we get True back from pandas' is_scalar call, additionally check that the object has an empty shape attribute (if it exists). See also: - pytorch/pytorch#99646 - pandas-dev/pandas#52701
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Description
PyTorch tensors advertise that they support the number API, and hence answer "True" to the question pd.api.types.is_scalar(torch_tensor). This trips up some of our data ingest, since in as_index we check if the input is a scalar (and raise) before handing off to as_column. To handle this, if we get True back from pandas' is_scalar call, additionally check that the object has an empty shape attribute (if it exists).
See also:
Truefor Troch tensors pandas-dev/pandas#52701Checklist