def _get_all_transformations(self, learner, data_set):
        # First compute internals
        internals = self._get_all_internals(learner, data_set)
        # Compute all transformations
        out = [[[] for _dum in self.modalities]
               for _my in self.modalities]
        for in_mod in range(self.n_modalities):
            out[in_mod][in_mod] = data_set[in_mod]  # Nothing to do.
            for out_mod in range(self.n_modalities):
                if out_mod != in_mod:
                    out[in_mod][out_mod] = learner.reconstruct_modality(
                        self.modalities[out_mod], internals[in_mod])
            out[in_mod].append(internals[in_mod])
        return out
Renders the module and dumps it to the given file. ``file`` can be either a file name or 
dataset/ETHPy150Open omangin/multimodal/multimodal/experiment.py/TwoModalitiesExperiment._get_all_transformations--crossover with--dataset/ETHPy150Open tomerfiliba/srcgen/srcgen/base.py/BaseModule.dump