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Summary: Pull Request resolved: #2637 Re-land diff D66465376 NOTE: use jit.ignore on the forward function to get rid of jit script error with `TensorDict` ``` def test_td_scripting(self) -> None: class TestModule(torch.nn.Module): torch.jit.ignore # <----- test fails without this ignore def forward(self, x: Union[TensorDict, KeyedJaggedTensor]) -> torch.Tensor: if isinstance(x, TensorDict): keys = list(x.keys()) return torch.cat([x[key]._values for key in keys], dim=0) else: return x._values m = TestModule() gm = torch.fx.symbolic_trace(m) jm = torch.jit.script(gm) values = torch.tensor([0, 1, 2, 3, 2, 3, 4]) kjt = KeyedJaggedTensor.from_offsets_sync( keys=["f1", "f2", "f3"], values=values, offsets=torch.tensor([0, 2, 2, 3, 4, 5, 7]), ) torch.testing.assert_allclose(jm(kjt), values) ``` Reviewed By: dstaay-fb Differential Revision: D66460392 fbshipit-source-id: 6fe35ebf2d1ebbac11b7cbba5efda1af1026028e
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