code: def laid_out_slice_num(self, tensor_shape):
      
      ret = self.slicewise(lambda: tf.to_int32(0))
      tensor_layout = self.tensor_layout(tensor_shape)
      for mesh_axis in tensor_layout.tensor_axis_to_mesh_axis:
        if mesh_axis is not None:
          def my_fn(x, pcoord, mesh_dim_size):
            return x * mesh_dim_size + pcoord
          ret = self.slicewise(
              my_fn, ret, self.laid_out_pcoord(mesh_axis),
              self.shape[mesh_axis].size)
      return ret
docs: A LaidOutTensor with an int32 scalar, identical for identical slices.
  
      This is useful for synchronizing random operations.
  
      Args:
        tensor_shape: a TensorShape
      Returns:
        a LaidOutTensor where each slice is an integer scalar.