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laithsakka avatar laithsakka commented on September 24, 2024

the code

        class M(torch.nn.Module):
            def forward(self, x, ref_id):
                self_id = id(self)
                if self_id == ref_id:
                    x = torch.mul(x, 1.0)
                x = torch.add(x, 1.0)
                return x


    def call_id(self, tx, *args):
        if len(args) > 0 and isinstance(args[0], variables.NNModuleVariable):
            nn_mod_variable = args[0]
            mod = tx.output.get_submodule(nn_mod_variable.module_key)
            return variables.ConstantVariable.create(id(mod))
        else:
            unimplemented(f"call_id with args {args}")

sounds like in general this can be solved if we supported id(self) on objects to be traced.

from pytorch.

laithsakka avatar laithsakka commented on September 24, 2024

Fixed by #127146

from pytorch.

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