b8904ac33f1f480f451762cdede8d66f6195763a,inferno/trainers/basic.py,Trainer,wrap_batch,#Trainer#Any#Any#Any#Any#,1164

Before Change

            elif pyu.is_listlike(_batch):
                // This supresses the volatile deprecated warning
                // TODO remove after Pytorch 1.0
                with warnings.catch_warnings():
                    warnings.simplefilter("ignore")
                    variable_batch.append([Variable(__batch, requires_grad=requires_grad,
                                                    volatile=volatile)
                                           for __batch in _batch])
            else:
                raise RuntimeError(f"Was Expecting batch at index {batch_num} to be either a "
                                   f"tensor or a list of tensors. Got {type(_batch)} instead.")
        batch = type(batch)(variable_batch)

After Change

                    "No `loader_spec` found for loader key "{}".".format(from_loader),
                    RuntimeError)
            // Get number of targets
            num_inputs = loader_spec["num_inputs"]
            if num_inputs is None:
                num_inputs = len(batch) - loader_spec["num_targets"]
            // Fetch input batches and send"em to device (leave the targets alone)
            inputs = batch[:num_inputs]

Instances