pytorch

3916d729 - [Dynamo] tensor.type() should return tensor types with CPU and GPU variants (#90021)

[Dynamo] tensor.type() should return tensor types with CPU and GPU variants (#90021) Fix errors from [7k github models](https://github.com/pytorch/torchdynamo/issues/1884) ``` Traceback (most recent call last): File "/scratch/ybliang/work/repos/pytorch/torch/_dynamo/utils.py", line 1062, in get_fake_value return wrap_fake_exception( File "/scratch/ybliang/work/repos/pytorch/torch/_dynamo/utils.py", line 739, in wrap_fake_exception return fn() File "/scratch/ybliang/work/repos/pytorch/torch/_dynamo/utils.py", line 1063, in <lambda> lambda: run_node(tx.output, node, args, kwargs, nnmodule) File "/scratch/ybliang/work/repos/pytorch/torch/_dynamo/utils.py", line 1112, in run_node raise RuntimeError( RuntimeError: Failed running call_function <function einsum at 0x7fd8f246a4c0>(*('i,j->ij', FakeTensor(FakeTensor(..., device='meta', size=(4,)), cpu), FakeTensor(FakeTensor(..., device='meta', size=(2,)), cuda:0)), **{}): Unhandled FakeTensor Device Propagation for aten.mul.Tensor, found two different devices cpu, cuda:0 (scroll up for backtrace) ``` The root cause is: ```tensor.type()``` should return ```torch.cuda.FloatTensor``` rather than ```torch.FloatTensor``` if it's on GPU. Pull Request resolved: https://github.com/pytorch/pytorch/pull/90021 Approved by: https://github.com/jansel