code: def reset(self):
          "If your convolutional window is greater than 1 and you save previous xs, you must reset at the beginning of each new sequence."
          for layer in self.layers:     layer.reset()
          if self.bidirectional:
              for layer in self.layers_bwd: layer.reset(f reset(self):
          "If your convolutional window is greater than 1 and you save previous xs, you must reset at the beginning of each new sequence."
          for layer in self.layers:     layer.reset()
          if self.bidirectional:
              for layer in self.layers_bwd: layer.reset()
docs: If your convolutional window is greater than 1 and you save previous xs, you must reset at the beginning of each new sequence.