Relax dtype restrictions on torch.Tensor (#73850)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/73850
Previously, torch.Tensor was treated as if it were torch.FloatTensor
(where Float is whatever the default dtype was). This is not good
behavior for tensor subclasses, which inherit from torch.Tensor and
will want to super() call into it and will only notice later that
only float works as a dtype. So in this PR I relax the behavior
for this case to make the torch.Tensor constructor more useful for
subclasses.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Test Plan: Imported from OSS
Reviewed By: albanD
Differential Revision: D34707396
Pulled By: ezyang
fbshipit-source-id: a995d601007b6fcd0317d89f66ca7e08c4d6053e
(cherry picked from commit e8d0d7b3e8b17681b931cbe4f5729de2e80cf3de)
