parameters: (session, step, tensors, feed_dict, monitors)
return_statement: return outputs, should_stop
docstring: Runs session for given tensors with monitor callbacks.
docstring_summary: Runs session for given tensors with monitor callbacks.
docstring_tokens: Runs session for given tensors with monitor callbacks .
function: def _run_with_monitors(session, step, tensors, feed_dict, monitors):
    """Runs session for given tensors with monitor callbacks."""
    for monitor in monitors:
      tensors += monitor.step_begin(step)
    tensors = list(set(tensors))
  
    outputs = session.run(tensors, feed_dict=feed_dict)
    outputs = dict(zip(
        [t.name if isinstance(t, ops.Tensor) else t for t in tensors],
        outputs))
  
    should_stop = False
    for monitor in monitors:
      induce_stop = monitor.step_end(step, outputs)
      should_stop = should_stop or induce_stop
    return outputs, should_stop
function_tokens: def _run_with_monitors ( session , step , tensors , feed_dict , monitors ) : for monitor in monitors : tensors += monitor . step_begin ( step ) tensors = list ( set ( tensors ) ) outputs = session . run ( tensors , feed_dict = feed_dict ) outputs = dict ( zip ( [ t . name if isinstance ( t , ops . Tensor ) else t for t in tensors ] , outputs ) ) should_stop = False for monitor in monitors : induce_stop = monitor . step_end ( step , outputs ) should_stop = should_stop or induce_stop return outputs , should_stop