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

Before Change

            if thu.is_tensor(_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))
            elif pyu.is_listlike(_batch):
                // This supresses the volatile deprecated warning
                // TODO remove after Pytorch 1.0
                with warnings.catch_warnings():

After Change

                    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]
            inputs = self.to_device(inputs)
            // Finally, build the batch
            batch = inputs + batch[num_inputs:]

Instances