'Gets outputs from a previous forward computation.
Parameters
merge_multi_context : bool
Default is ``True``. In the case when data-parallelism is used, the outputs
will be collected from multiple devices. A ``True`` value indicate that we
should merge the collected results so that they look like from a single
executor.
Returns
list of NDArray or list of list of NDArray
If `merge_multi_context` is ``True``, it is like ``[out1,
out2]``. Otherwise, it is like ``[[out1_dev1, out1_dev2], [out2_dev1,
out2_dev2]]``. All the output elements are numpy arrays.'

def get_outputs(self, merge_multi_context=True):

    assert (self.binded and self.params_initialized)
    return self._modules[(-1)].get_outputs(merge_multi_context=merge_multi_context)
