Added correct isinf handling for Integral tensors (#15489)

Added correct isinf handling for Integral tensors (#15489)

Summary:
Currently torch.isinf on integral tensor will raise RuntimeError: value cannot be converted to type int16_t without overflow: inf.
This pr will suppress the error and return false(0) for all integral tensors. The behavior will also be consistent with np.isinf
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15489

Reviewed By: zou3519

Differential Revision: D13540786

Pulled By: flashhack

fbshipit-source-id: e730dea849da6a59f3752d347bcfbadfd12c6483