[Bug]: torchdynamo.export doesn't work with torch.nn.quantized operators

[tugsbayasgalan]

🐛 Describe the bug

from torch.nn.quantized import FloatFunctional


class TorchAdd(torch.nn.Module):
    """Wrapper around torch.add so that all ops can be found at build"""

    def __init__(self):
        super().__init__()
        self.add_func = FloatFunctional()

    def forward(self, x, y):
        return self.add_func.add(x, y)

torchdynamo.config.dynamic_shapes = True
torchdynamo.export(TorchAdd(), torch.randn(3, 4), torch.randn(3, 4), aten_graph=True)

Error logs

File "/mnt/xarfuse/uid-23137/7756fc57-seed-nspid4026533012_cgpid17879168-ns-4026533009/torchdynamo/symbolic_convert.py", line 1515, in inline_call_
unimplemented(
File "/mnt/xarfuse/uid-23137/7756fc57-seed-nspid4026533012_cgpid17879168-ns-4026533009/torchdynamo/exc.py", line 71, in unimplemented
raise Unsupported(msg)
torchdynamo.exc.Unsupported: inline in skipfiles: add /mnt/xarfuse/uid-23137/7756fc57-seed-nspid4026533012_cgpid17879168-ns-4026533009/torch/ao/nn/quantized/modules/functional_modules.py

Did Dynamo succeed?

• Does dynamo.optimize("eager") succeed?

Did AOT succeed?

• Did dynamo.optimize("aot_eager") succeed?

Did Inductor succeed?

• Does dynamo.optimize("inductor") succeed?

Minified repro

Repro given above