(self, delta_buffers)
Use pre-allocated (by layer containers) list of buffers for backpropagated error.
        Only set deltas for layers that own their own deltas
        Only allocate space if layer owns its own deltas (e.g., bias and activation work in-place,
        so do not own their deltas).

        Arguments:
            delta_buffers (list): list of pre-allocated tensors (provided by layer container)
Use pre-allocated (by layer containers) list of buffers for backpropagated error.
        Only set deltas for layers that own their own deltas
        Only allocate space if layer owns its own deltas (e.g., bias and activation work in-place,
        so do not own their deltas).
Use pre - allocated ( by layer containers ) list of buffers for backpropagated error . Only set deltas for layers that own their own deltas Only allocate space if layer owns its own deltas ( e . g . bias and activation work in - place so do not own their deltas ) .
def set_deltas(self, delta_buffers):
        """
        Use pre-allocated (by layer containers) list of buffers for backpropagated error.
        Only set deltas for layers that own their own deltas
        Only allocate space if layer owns its own deltas (e.g., bias and activation work in-place,
        so do not own their deltas).

        Arguments:
            delta_buffers (list): list of pre-allocated tensors (provided by layer container)
        """
        # delta_buffers ignored here, will generate
        # new delta buffers for each sequential container
        for l in self.layers:
            l.allocate_deltas()
def set_deltas ( self , delta_buffers ) : # delta_buffers ignored here, will generate # new delta buffers for each sequential container for l in self . layers : l . allocate_deltas ( )