code: def write(self)->None:
          "Writes model gradient statistics to Tensorboard."
          if len(self.gradients) == 0: return
          norms = [x.data.norm() for x in self.gradients]
          self._write_avg_norm(norms=norms)
          self._write_median_norm(norms=norms)
          self._write_max_norm(norms=norms)
          self._write_min_norm(norms=norms)
          self._write_num_zeros()
          self._write_avg_gradient()
          self._write_median_gradient()
          self._write_max_gradient()
          self._write_min_gradient(f write(self)->None:
          "Writes model gradient statistics to Tensorboard."
          if len(self.gradients) == 0: return
          norms = [x.data.norm() for x in self.gradients]
          self._write_avg_norm(norms=norms)
          self._write_median_norm(norms=norms)
          self._write_max_norm(norms=norms)
          self._write_min_norm(norms=norms)
          self._write_num_zeros()
          self._write_avg_gradient()
          self._write_median_gradient()
          self._write_max_gradient()
          self._write_min_gradient()
docs: Writes model gradient statistics to Tensorboard.