SummaryWriter() object. Because it only provides metadata to
      tensorboard, the function can be called before or after the
      training loop.
  Parameters:
     **layout** (*dict*) -- {categoryName: *charts*}, where
     *charts* is also a dictionary {chartName:
     *ListOfProperties*}. The first element in *ListOfProperties*
     is the chart's type (one of **Multiline** or **Margin**) and
     the second element should be a list containing the tags you
     have used in add_scalar function, which will be collected
     into the new chart.

  Examples:

     layout = {'Taiwan':{'twse':['Multiline',['twse/0050', 'twse/2330']]},
                  'USA':{ 'dow':['Margin',   ['dow/aaa', 'dow/bbb', 'dow/ccc']],
                       'nasdaq':['Margin',   ['nasdaq/aaa', 'nasdaq/bbb', 'nasdaq/ccc']]}}

     writer.add_custom_scalars(layout)

add_mesh(tag, vertices, colors=None, faces=None, config_dict=None, global_step=None, walltime=None)