'Requires |stride|; otherwise see base class.'

def create(self, fixed_embeddings, linked_embeddings, context_tensor_arrays, attention_tensor, during_training, stride=None):

    check.NotNone(stride, 'BiaffineLabelNetwork    requires    "stride"    and    must    be    called    in    the    bulk    feature    extractor    component.')
    del during_training
    weights_pair = self._component.get_variable('weights_pair')
    weights_source = self._component.get_variable('weights_source')
    weights_target = self._component.get_variable('weights_target')
    biases = self._component.get_variable('biases')
    sources = network_units.lookup_named_tensor('sources', linked_embeddings)
    targets = network_units.lookup_named_tensor('targets', linked_embeddings)
    sources_bxnxs = tf.reshape(sources.tensor, [stride, (-1), self._source_dim])
    targets_bxnxt = tf.reshape(targets.tensor, [stride, (-1), self._target_dim])
    pairs_bxnxl = digraph_ops.LabelPotentialsFromTokenPairs(sources_bxnxs, targets_bxnxt, weights_pair)
    sources_bxnxl = digraph_ops.LabelPotentialsFromTokens(sources_bxnxs, weights_source)
    targets_bxnxl = digraph_ops.LabelPotentialsFromTokens(targets_bxnxt, weights_target)
    labels_bxnxl = (((pairs_bxnxl + sources_bxnxl) + targets_bxnxl) + biases)
    return [tf.reshape(labels_bxnxl, [(-1), self._num_labels])]
