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Dong Daxiang edited this page May 28, 2020 · 3 revisions

paddle.fleet API Spec

About RoleMaker

  • MPISymetricRoleMaker
  • UserDefinedRoleMaker
  • UserDefinedCollectiveRoleMaker
  • PaddleCloudRoleMaker
  • GeneralRoleMaker
import paddle.fleet as fleet
role_maker = PaddleCloudRoleMaker()
fleet.init(role_maker)

collective training

import paddle.fleet as fleet
role_maker = PaddleCloudRoleMaker(collective=True)
fleet.init(role_maker)

About Fleet

class Fleet(object):

    def __init__(self, mode):

    def is_first_worker(self):

    def worker_index(self):

    def worker_num(self):

    def is_worker(self):

    def worker_endpoints(self, to_string=False):

    def server_num(self):

    def server_index(self):

    def server_endpoints(self, to_string=False):

    def is_server(self):

    def split_files(self, files):

    def init(self, role_maker=None):

    def all_reduce_worker(self, input, output):

    def barrier_worker(self):

    def init_worker(self):

    def init_server(self, model_dir=None):

    def run_server(self):

    def stop_worker(self):

    def distributed_optimizer(self, optimizer, strategy=None):

    def save_inference_model(self,
                             executor,
                             dirname,
                             feeded_var_names,
                             target_vars,
                             main_program=None,
                             export_for_deployment=True):

    def save_persistables(self, executor, dirname, main_program=None):
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