parameters: (self)
return_statement: return self._pipe.executor_statistics()
docstring: Returns provided pipeline executor statistics metadata as a dictionary.
          Each key in the dictionary is the operator name. To enable it use ``executor_statistics``
  
          Available metadata keys for each operator:
  
              * ``real_memory_size`` - list of memory sizes that is used by each output of the operator.
                Index in the list corresponds to the output index.
  
              * ``max_real_memory_size`` - list of maximum tensor size that is used by each output of the operator.
                Index in the list corresponds to the output index.
  
              * ``reserved_memory_size`` - list of memory sizes that is reserved for each of the operator outputs.
                Index in the list corresponds to the output index.
  
              * ``max_reserved_memory_size`` - list of maximum memory sizes per tensor that is reserved for each of the operator outputs.
                Index in the list corresponds to the output index.
docstring_summary: Returns provided pipeline executor statistics metadata as a dictionary.
          Each key in the dictionary is the operator name. To enable it use ``executor_statistics``
docstring_tokens: Returns provided pipeline executor statistics metadata as a dictionary . Each key in the dictionary is the operator name . To enable it use executor_statistics
function: def executor_statistics(self):
          """Returns provided pipeline executor statistics metadata as a dictionary.
          Each key in the dictionary is the operator name. To enable it use ``executor_statistics``
  
          Available metadata keys for each operator:
  
              * ``real_memory_size`` - list of memory sizes that is used by each output of the operator.
                Index in the list corresponds to the output index.
  
              * ``max_real_memory_size`` - list of maximum tensor size that is used by each output of the operator.
                Index in the list corresponds to the output index.
  
              * ``reserved_memory_size`` - list of memory sizes that is reserved for each of the operator outputs.
                Index in the list corresponds to the output index.
  
              * ``max_reserved_memory_size`` - list of maximum memory sizes per tensor that is reserved for each of the operator outputs.
                Index in the list corresponds to the output index.
          """
          if not self._built:
              raise RuntimeError("Pipeline must be built first.")
          return self._pipe.executor_statistics()
function_tokens: def executor_statistics ( self ) : if not self . _built : raise RuntimeError ( "Pipeline must be built first." ) return self . _pipe . executor_statistics ( )