The unexpected behavior of `sort()` about pytorch HOT 2 OPEN

Hmm, it works as expected according to the posted function signatures (note that arguments after * are keyword only arguments but I guess it could've been documented better.

from pytorch.

As the error message shows,

TypeError: sort() received an invalid combination of arguments - got (Tensor, int, bool, bool), but expected one of:

• (Tensor input, *, bool stable, int dim, bool descending, tuple of Tensors out)
• (Tensor input, int dim, bool descending, *, tuple of Tensors out)
• (Tensor input, *, bool stable, name dim, bool descending, tuple of Tensors out)
• (Tensor input, name dim, bool descending, *, tuple of Tensors out)

when it comes to 4 arguments, without any keyword specification, it will be ambiguous for sort() to deal arguments with same type.

torch.sort(my_tensor, 0) # Works

use default values, no ambiguity here.

torch.sort(my_tensor, 0, False) # Works

IMO that is an edge case which needs to be clarified in the document. It might be assumed to apply to stable instead of descending.

from pytorch.