Orca: what if our model takes a list of tensors as one of the args as input in TorchRunner

[leonardozcm]

In my case, the model does take x as a list of two tensors as input:

    def forward(self, x, bboxes=None):
        x = x[:]  # avoid pass by reference
        x = self.s1(x)

code
but our torchrunner will extract this as two separated ones:
https://github.com/intel-analytics/BigDL/blob/affe54803c320afd4fc0631dc3fa02f8be1cfcdc/python/orca/src/bigdl/orca/learn/pytorch/training_operator.py#L279