4e33a87b602d9236443d50b56e2cac291eda42eb,allennlp/models/model.py,Model,forward_on_instances,#Model#Any#,124

Before Change

        batch_size = len(instances)
        //with torch.no_grad():        
        cuda_device = self._get_prediction_device()
        dataset = Batch(instances)
        dataset.index_instances(self.vocab)
        model_input = util.move_to_device(dataset.as_tensor_dict(), cuda_device)
        outputs = self.decode(self(**model_input))

        instance_separated_output: List[Dict[str, numpy.ndarray]] = [

After Change

        batch_size = len(instances)
        with torch.no_grad():
            cuda_device = self._get_prediction_device()
            dataset = Batch(instances)
            dataset.index_instances(self.vocab)
            model_input = util.move_to_device(dataset.as_tensor_dict(), cuda_device)
            outputs = self.decode(self(**model_input))

            instance_separated_output: List[Dict[str, numpy.ndarray]] = [

Instances