[inductor] Fallback can't handle ops with output signature `(Tensor, Tensor[])`

[anijain2305]

🐛 Describe the bug

Repro

import torch
import torch._dynamo as dynamo

def fn():
    return torch.histogramdd(torch.tensor([[0., 1.], [1., 0.], [2., 0.], [2., 2.]]), bins=[3, 3],
                  weight=torch.tensor([1., 2., 4., 8.]))

print(fn())

opt_fn = dynamo.optimize()(fn)
opt_fn()

Error logs

Traceback (most recent call last):
  File "/scratch/anijain/work/pytorch/torch/_inductor/graph.py", line 239, in call_function
    out = lowerings[target](*args, **kwargs)
  File "/scratch/anijain/work/pytorch/torch/_inductor/lowering.py", line 168, in wrapped
    assert not any(isinstance(x, TensorBox) for x in kwargs.values())
AssertionError

Minified repro

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