A bunch of array-api-tests are failing with the latest version of PyTorch with RuntimeError: Promotion for uint16, uint32, uint64 types is not supported, attempted to promote Int and UInt16.
It seems PyTorch added support for uint16, but the support is limited:
>>> torch.equal(torch.tensor(0, dtype=torch.int32), torch.tensor(0, dtype=torch.uint16))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
RuntimeError: Promotion for uint16, uint32, uint64 types is not supported, attempted to promote Int and UInt16
It would be useful if we could skip this dtype entirely in the test suite somehow. Otherwise we will basically need to xfail every two-argument function test.
asmeurer
commented
3 months ago
A bunch of array-api-tests are failing with the latest version of PyTorch with
RuntimeError: Promotion for uint16, uint32, uint64 types is not supported, attempted to promote Int and UInt16.It seems PyTorch added support for uint16, but the support is limited:
See https://pytorch.org/docs/stable/tensors.html#id12
It would be useful if we could skip this dtype entirely in the test suite somehow. Otherwise we will basically need to xfail every two-argument function test.