parameters: (self, show_dataflow=True, show_memory=False)
return_statement: return step_stats_analysis.chrome_trace.format_to_string(pretty=True)
docstring: Produces a trace in Chrome Trace Format.
  
      Args:
        show_dataflow: (Optional.) If True, add flow events to the trace
          connecting producers and consumers of tensors.
        show_memory: (Optional.) If True, add object snapshot events to the trace
          showing the sizes and lifetimes of tensors.
  
      Returns:
        A JSON formatted string in Chrome Trace format.
docstring_summary: Produces a trace in Chrome Trace Format.
docstring_tokens: Produces a trace in Chrome Trace Format .
function: def generate_chrome_trace_format(self, show_dataflow=True, show_memory=False):
      """Produces a trace in Chrome Trace Format.
  
      Args:
        show_dataflow: (Optional.) If True, add flow events to the trace
          connecting producers and consumers of tensors.
        show_memory: (Optional.) If True, add object snapshot events to the trace
          showing the sizes and lifetimes of tensors.
  
      Returns:
        A JSON formatted string in Chrome Trace format.
      """
      step_stats_analysis = self.analyze_step_stats(
          show_dataflow=show_dataflow, show_memory=show_memory)
  
      return step_stats_analysis.chrome_trace.format_to_string(pretty=True)
function_tokens: def generate_chrome_trace_format ( self , show_dataflow = True , show_memory = False ) : step_stats_analysis = self . analyze_step_stats ( show_dataflow = show_dataflow , show_memory = show_memory ) return step_stats_analysis . chrome_trace . format_to_string ( pretty = True )