# executor

class `paddle.fluid.executor.``Executor`(places)
  `run`(program=None, feed=None, fetch_list=None, feed_var_name='feed', fetch_var_name='fetch', scope=None, return_numpy=True, use_program_cache=False)

    Run program by this Executor. Feed data by feed map, fetch result by fetch_list.

    Python executor takes a program, add feed operators and fetch operators to this program according to feed map and fetch_list. Feed map provides input data for the program. fetch_list provides the variables(or names) that user want to get after program run. Note: the executor will run all operators in the program but not only the operators dependent by the fetch_list

    Parameters: | program – the program that need to run, if not provied, then default_main_program will be used. feed – feed variable map, e.g. {“image”: ImageData, “label”: LableData} fetch_list – a list of variable or variable names that user want to get, run will return them according

    to this list. :param feed_var_name: the name for the input variable of feed Operator. :param fetch_var_name: the name for the output variable of feed Operator. :param scope: the scope used to run this program, you can switch it to different scope. default is global_scope :param return_numpy: if convert the fetched tensor to numpy :param use_program_cache: set use_program_cache to true if program not changed compare to the last step. :return: result according to fetch_list.

## global_scope

`paddle.fluid.executor.``global_scope`()

## scope_guard

`paddle.fluid.executor.``scope_guard`(*args, **kwds)

## switch_scope

`paddle.fluid.executor.``switch_scope`(scope)