parameters: (model, gpus, verbose=True)
docstring: re-work keras model for multi-gpus if number of gpus is > 1
  
      Parameters:
          model: keras Model
          gpus: list of gpus to split to (e.g. [1, 4, 6]), or count of gpus available (e.g. 3)
              Note: if given int, assume that is the count of gpus, 
              so if you want a single specific gpu, this function will not do that.
          verbose: whether to display what happened (default: True)
      
      Returns:
          keras model
docstring_summary: re-work keras model for multi-gpus if number of gpus is > 1
docstring_tokens: re - work keras model for multi - gpus if number of gpus is > 1
function: def robust_multi_gpu_model(model, gpus, verbose=True):
      """
      re-work keras model for multi-gpus if number of gpus is > 1
  
      Parameters:
          model: keras Model
          gpus: list of gpus to split to (e.g. [1, 4, 6]), or count of gpus available (e.g. 3)
              Note: if given int, assume that is the count of gpus, 
              so if you want a single specific gpu, this function will not do that.
          verbose: whether to display what happened (default: True)
      
      Returns:
          keras model
      """
  
      islist = isinstance(gpus, (list, tuple))
      if (islist and len(gpus) > 1) or (not islist and gpus > 1):
          count = gpus if not islist else len(gpus)
          print("Returning multi-gpu (%d) model" % count)
          return keras.utils.multi_gpu_model(model, count)
  
      else:
          print("Returning keras model back (single gpu found)")
          return model
function_tokens: def robust_multi_gpu_model ( model , gpus , verbose = True ) : islist = isinstance ( gpus , ( list , tuple ) ) if ( islist and len ( gpus ) > 1 ) or ( not islist and gpus > 1 ) : count = gpus if not islist else len ( gpus ) print ( "Returning multi-gpu (%d) model" % count ) return keras . utils . multi_gpu_model ( model , count ) else : print ( "Returning keras model back (single gpu found)" ) return model