b939c910d036d8197ac7c63e5f188bc4c4fc4803,foolbox/batching.py,,run_parallel,#Any#Any#Any#Any#Any#Any#Any#Any#,94

Before Change

            // get original shape (//attacks, batch size)
            batch_shape = batched_predictions_args[0].shape
            // merge individual batches into one super-batch
            batched_predictions_args[0] = batched_predictions_args[0].reshape(
                -1, *batch_shape[2:])

            batched_predictions = model.forward(*batched_predictions_args)
            // split super-batch back into individual batches
            batched_predictions = batched_predictions.reshape(

After Change

            // split super-batch back into individual batches
            batched_predictions = model.forward(inputs)
            batched_predictions = np.split(batched_predictions, batch_splits,
                                           axis=0)

        else:
            batched_predictions = []

Instances