'Constructs a feed-forward unit based on the features and context tensors.
Args:
fixed_embeddings: list of NamedTensor objects
linked_embeddings: list of NamedTensor objects
context_tensor_arrays: optional list of TensorArray objects used for
implicit recurrence.
attention_tensor: optional Tensor used for attention.
during_training: whether to create a network for training (vs inference).
stride: int scalar tensor containing the stride required for
bulk computation.
Returns:
A list of tensors corresponding to the list of layers.'

@abc.abstractmethod
def create(self, fixed_embeddings, linked_embeddings, context_tensor_arrays, attention_tensor, during_training, stride=None):

    pass
