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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def laid_out_slice_num(self, tensor_shape):
 """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. """

    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