Fix some silly Inductor bugs (pytorch#92997)

Should probably figure out how to get type checking going, would have
caught these cases.

Discovered in pursuit of pytorch#91719
though this is not enough.

Signed-off-by: Edward Z. Yang <[email protected]>

Pull Request resolved: pytorch#92997
Approved by: https://github.com/Chillee

Author: ezyang

torch/_inductor/mkldnn.py

@@ -488,7 +488,9 @@ def fused_linear_binary_eval(linear: nn.Module, attr: str, input_size: list):
 
 def mkldnn_fuse_fx(gm: torch.fx.GraphModule, example_inputs):
     is_cpu = all(
-        example_input.device == torch.device("cpu") for example_input in example_inputs
+        example_input.device == torch.device("cpu")
+        for example_input in example_inputs
+        if isinstance(example_input, torch.Tensor)
     )
 
     # make sure the autograd is disabled.

torch/_inductor/overrides.py

@@ -63,7 +63,9 @@ def replace_fx(gm: torch.fx.GraphModule):
 
 def fuse_fx(gm: torch.fx.GraphModule, example_inputs):
     is_cpu = all(
-        example_input.device == torch.device("cpu") for example_input in example_inputs
+        example_input.device == torch.device("cpu")
+        for example_input in example_inputs
+        if isinstance(example_input, torch.Tensor)
     )
 
     fake_mode = fake_mode_from_tensors(example_inputs)