pytorch

cb26661f - Throws runtime error when torch.full would infer a float dtype from a bool or integral fill value (#40364)

Throws runtime error when torch.full would infer a float dtype from a bool or integral fill value (#40364) Summary: BC-breaking NOTE: In PyTorch 1.6 bool and integral fill values given to torch.full must set the dtype our out keyword arguments. In prior versions of PyTorch these fill values would return float tensors by default, but in PyTorch 1.7 they will return a bool or long tensor, respectively. The documentation for torch.full has been updated to reflect this. PR NOTE: This PR causes torch.full to throw a runtime error when it would have inferred a float dtype by being given a boolean or integer value. A versioned symbol for torch.full is added to preserve the behavior of already serialized Torchscript programs. Existing tests for this behavior being deprecated have been updated to reflect it now being unsupported, and a couple new tests have been added to validate the versioned symbol behavior. The documentation of torch.full has also been updated to reflect this change. Pull Request resolved: https://github.com/pytorch/pytorch/pull/40364 Differential Revision: D22176640 Pulled By: mruberry fbshipit-source-id: b20158ebbcb4f6bf269d05a688bcf4f6c853a965