(self, S)
return self.layers.set_seq_len(S)
Set the actual minibatch sequence length, so even though the buffers are allocated
        considering excessive padding, the processing for some layers may be shortened.
        Currently most of the neon layers don't use that to control the processing. The
        interface is here only for when someone wants to set that information and experiment.

        Arguments:
            S:

        Returns:
Set the actual minibatch sequence length, so even though the buffers are allocated
        considering excessive padding, the processing for some layers may be shortened.
        Currently most of the neon layers don't use that to control the processing. The
        interface is here only for when someone wants to set that information and experiment.
Set the actual minibatch sequence length so even though the buffers are allocated considering excessive padding the processing for some layers may be shortened . Currently most of the neon layers don t use that to control the processing . The interface is here only for when someone wants to set that information and experiment .
def set_seq_len(self, S):
        """
        Set the actual minibatch sequence length, so even though the buffers are allocated
        considering excessive padding, the processing for some layers may be shortened.
        Currently most of the neon layers don't use that to control the processing. The
        interface is here only for when someone wants to set that information and experiment.

        Arguments:
            S:

        Returns:

        """
        return self.layers.set_seq_len(S)
def set_seq_len ( self , S ) : return self . layers . set_seq_len ( S )