tensorflow.py 文件源码

def create_training_output(self, shared_resources: SharedResources,
                               training_input_tensors: Mapping[TensorPort, tf.Tensor]) \
            -> Mapping[TensorPort, tf.Tensor]:
        """
        This function needs to be implemented in order to define how the module produces tensors only used
        during training given tensors corresponding to the ones defined by `training_input_ports`, which might include
        tensors corresponding to ports defined by `output_ports`. This sub-graph should only be created during training.

        Args:
            shared_resources: contains resources shared by modules, such as hyper-parameters or vocabularies.
            training_input_tensors: a mapping from training input tensorports to tensors.

        Returns:
            mapping from defined training output ports to their tensors.
        """
        raise NotImplementedError