cb8e2c5d60f79803d234da504477193611836d1f,pytext/task/new_task.py,_NewTask,predict,#_NewTask#Any#,225

Before Change

        results = []
        for row in examples:
            numberized_rows = self.data.numberize_rows([row])
            batches = self.data.batcher.batchify(numberized_rows)
            _, inputs = next(pad_and_tensorize_batches(self.data.tensorizers, batches))
            model_inputs = self.model.arrange_model_inputs(inputs)
            model_context = self.model.arrange_model_context(inputs)
            predictions, scores = self.model.get_pred(
                self.model(*model_inputs), context=model_context

After Change

            }
            tensor_dict = {
                name: tensorizer.tensorize(batch=numberized_row[name])
                for name, tensorizer in input_tensorizers.items()
            }
            model_inputs = self.model.arrange_model_inputs(tensor_dict)
            model_context = self.model.arrange_model_context(tensor_dict)

Instances