Data.DrCollate =========================== `Click here `_ to go back to the reference. .. code-block:: python class DrCollate: """""" def __init__(self, follow_batch=None, exclude_keys=None): self.follow_batch = follow_batch self.exclude_keys = exclude_keys def __call__(self, batch): cell_ft = torch.stack([g.cell_ft for g in batch]) if type(batch[0].drug_ft) == torch.Tensor: drug_ft = torch.stack([g.drug_ft for g in batch]) else: drug_ft = Batch.from_data_list([g.drug_ft for g in batch], self.follow_batch, self.exclude_keys) response = torch.stack([g.response for g in batch]) return cell_ft, drug_ft, response, [g.cell_name for g in batch], [g.drug_name for g in batch]