# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import paddle from .public import * from paddle.distributed.fleet.base.private_helper_function import wait_server_ready from paddle.distributed.passes import new_pass, PassContext class PsProgramBuilder(object): def __init__(self, pass_ctx): self.pass_ctx = pass_ctx self.attrs = self.pass_ctx._attrs self.loss = self.attrs['loss'] self.origin_startup_program = self.attrs['origin_startup_program'] self.main_program = self.attrs['origin_main_programs'] self.cloned_main = self.attrs['cloned_main'] self.cloned_startup = self.attrs['cloned_startup'] self.use_ps_gpu = self.attrs['use_ps_gpu'] self.use_heter_ps = self.attrs['is_heter_ps_mode'] self.is_worker = self.attrs['is_worker'] self.is_heter_worker = self.attrs['is_heter_worker'] self.is_server = self.attrs['is_server'] self.ps_mode = self.attrs['ps_mode'] self.launch_barrier = self.attrs['launch_barrier'] self.launch_barrier_flag = self.attrs['launch_barrier_flag'] self.server_endpoints = self.attrs['role_maker']._get_pserver_endpoints( ) def _build_trainer_desc(self): opt_info = self.loss.block.program._fleet_opt opt_info = {} if opt_info is None else opt_info opt_info["trainer"] = opt_info.get("trainer", "MultiTrainer") opt_info["device_worker"] = opt_info.get("device_worker", "Hogwild") self.cloned_main._fleet_opt = opt_info def _optimize_programs(self): pass def _build_trainer_programs(self): raise NotImplementedError def _build_pserver_programs(self): is_sgd_adam = False ops = get_optimize_ops(self.attrs['origin_main_program']) if len(ops) == 0: return add_lr_decay_table_pass = new_pass('add_lr_decay_table_pass', self.attrs) add_lr_decay_table_pass.apply([], [], self.pass_ctx) for op in ops: if op.type in ["sgd", "adam"]: is_sgd_adam = True break if is_sgd_adam: return def _build_programs(self): if self.attrs['is_worker']: self._build_trainer_programs() fluid.framework.switch_startup_program(self.cloned_startup) print("fluid.default_startup_program: {}".format( fluid.default_startup_program)) # print("ps_program_build before =", id(self.loss.block.program)) self._build_trainer_desc() self.loss.block.program = self.cloned_main # print("ps_program_build after =", id(self.loss.block.program)) # print("ps_program_build clone after =", id(self.cloned_main)) # print("ps_program_build after trainer_desc", # id(self.loss.block.program)) # print("ps_program build trainer desc", # self.loss.block.program._fleet_opt) elif self.attrs['is_server']: self._build_pserver_programs() self.loss.block.program = self.attrs['_main_server'] fluid.framework.switch_startup_program(self.attrs[ '_startup_server']) class GeoPsProgramBuilder(PsProgramBuilder): # 仅 CPU 模式 def __init__(self, pass_ctx): super(GeoPsProgramBuilder, self).__init__(pass_ctx) if self.ps_mode != DistributedMode.GEO: raise ValueError("ps mode: {} not matched {}", format(self.ps_mode, "GeoPsProgramBuilder")) def _build_trainer_programs(self): append_send_ops_pass = new_pass("append_send_ops_pass", self.attrs) append_send_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) self.attrs['origin_main_program'] = self.cloned_main if self.launch_barrier and self.launch_barrier_flag: wait_server_ready(self.server_endpoints) def _build_pserver_programs(self): add_listen_and_serv_pass = new_pass('add_listen_and_serv_pass', self.attrs) add_listen_and_serv_pass.apply([self.attrs['_main_server']], [None], self.pass_ctx) return class CpuSyncPsProgramBuilder(PsProgramBuilder): def __init__(self, pass_ctx): super(CpuSyncPsProgramBuilder, self).__init__(pass_ctx) if self.ps_mode != DistributedMode.SYNC and self.ps_mode != DistributedMode.ASYNC: raise ValueError("ps mode: {} not matched {}", format(self.ps_mode, "PsProgramBuilder")) def _build_trainer_programs(self): # print("build trainer program entry") # print("before ps program builder program:", self.cloned_main) add_lr_decay_table_pass = new_pass("add_lr_decay_table_pass", self.attrs) add_lr_decay_table_pass.apply([], [], self.pass_ctx) # print("before distributed op pass") distributed_ops_pass = new_pass("distributed_ops_pass", self.attrs) distributed_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) delete_optimizer_pass = new_pass("delete_optimizer_pass", self.attrs) delete_optimizer_pass.apply([self.cloned_main], [None], self.pass_ctx) append_send_ops_pass = new_pass("append_send_ops_pass", self.attrs) append_send_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) delete_extra_optimizer_pass = new_pass("delete_extra_optimizer_pass", self.attrs) delete_extra_optimizer_pass.apply([self.attrs['origin_main_program']], [self.cloned_startup], self.pass_ctx) fake_init_ops_pass = new_pass("fake_init_ops_pass", self.attrs) fake_init_ops_pass.apply([None], [self.cloned_startup], self.pass_ctx) self.attrs['origin_main_program'] = self.cloned_main self.attrs['origin_startup_program'] = self.cloned_startup # print("after ps program builder program:", self.cloned_main) if self.launch_barrier and self.launch_barrier_flag: wait_server_ready(self.server_endpoints) return class CpuAsyncPsProgramBuilder(CpuSyncPsProgramBuilder): def __init__(self, pass_ctx): super(CpuAsyncPsProgramBuilder, self).__init__(pass_ctx) def _build_trainer_desc(self): opt_info = self.loss.block.program._fleet_opt opt_info = {} if opt_info is None else opt_info opt_info["trainer"] = opt_info.get("trainer", "DistMultiTrainer") opt_info["device_worker"] = opt_info.get("device_worker", "DownpourLite") pid = str(id(self.cloned_main)) program_configs = { pid: { 'pull_dense': [], 'push_dense': [], 'pull_sparse': [], 'push_sparse': [] } } dense_table_config = {} send_ctx = get_the_one_send_context(self.attrs) recv_ctx = get_the_one_recv_context(self.attrs) for name, ctx in send_ctx.items(): if ctx.program_id() != id(self.loss.block.program): continue if ctx.is_sparse(): continue if not ctx.is_tensor_table(): program_configs[pid]['pull_dense'].append(ctx.table_id()) program_configs[pid]['push_dense'].append(ctx.table_id()) dense_table_config[ctx.table_id()] = recv_ctx[ctx.table_id()] opt_info['program_configs'] = program_configs opt_info['dense_table_config'] = dense_table_config self.cloned_main._fleet_opt = opt_info class GpuPsProgramBuilder(PsProgramBuilder): def __init__(self, pass_ctx): super(GpuPsProgramBuilder, self).__init__(pass_ctx) def _build_trainer_programs(self): add_lr_decay_table_pass = new_pass("add_lr_decay_table_pass", self.attrs) add_lr_decay_table_pass.apply([], [], self.pass_ctx) distributed_ops_pass = new_pass("distributed_ops_pass", self.attrs) distributed_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) fake_init_ops_pass = new_pass("fake_init_ops_pass", self.attrs) fake_init_ops_pass.apply([None], [self.cloned_startup], self.pass_ctx) ps_gpu_pass = new_pass("ps_gpu_pass", self.attrs) ps_gpu_pass.apply([self.cloned_main], [None], self.pass_ctx) ps_transpile_pass = new_pass("ps_transpile_pass", self.attrs) ps_transpile_pass.apply([self.cloned_main], [self.cloned_startup], self.pass_ctx) self.attrs['origin_main_program'] = self.cloned_main self.attrs['origin_startup_program'] = self.cloned_startup if self.launch_barrier and self.launch_barrier_flag: wait_server_ready(self.server_endpoints) return class HeterAsyncPsProgramBuilder(PsProgramBuilder): def __init__(self, pass_ctx): super(HeterAsyncPsProgramBuilder, self).__init__(pass_ctx) def _build_trainer_programs(self): add_lr_decay_table_pass = new_pass("add_lr_decay_table_pass", self.attrs) add_lr_decay_table_pass.apply([], [], self.pass_ctx) distributed_ops_pass = new_pass("distributed_ops_pass", self.attrs) distributed_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) delete_optimizer_pass = new_pass("delete_optimizer_pass", self.attrs) delete_optimizer_pass.apply([self.cloned_main], [None], self.pass_ctx) append_send_ops_pass = new_pass("append_send_ops_pass", self.attrs) append_send_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) delete_extra_optimizer_pass = new_pass("delete_extra_optimizer_pass", self.attrs) delete_extra_optimizer_pass.apply([self.attrs['origin_main_program']], [self.cloned_startup], self.pass_ctx) fake_init_ops_pass = new_pass("fake_init_ops_pass", self.attrs) fake_init_ops_pass.apply([None], [self.cloned_startup], self.pass_ctx) if self.is_heter_worker: split_heter_worker_ops_pass = new_pass( "split_heter_worker_ops_pass", self.attrs) split_heter_worker_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) else: split_trainer_ops_pass = new_pass("split_trainer_ops_pass", self.attrs) split_trainer_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) set_heter_pipeline_opt_pass = new_pass('set_heter_pipeline_opt_pass', self.attrs) set_heter_pipeline_opt_pass.apply([self.cloned_main], [self.cloned_startup], self.pass_ctx) if self.launch_barrier and self.launch_barrier_flag: wait_server_ready(self.server_endpoints) return def _build_programs(self): if self.attrs['is_worker'] or self.attrs['is_heter_worker']: self._build_trainer_programs() ps_set_heter_pipeline_opt_pass = new_pass( "set_heter_pipeline_opt_pass", self.attrs) ps_set_heter_pipeline_opt_pass.apply( [self.cloned_main], [self.cloned_startup], self.pass_ctx) elif self.attrs['is_server']: self._build_pserver_programs() self.loss.block.program = self.attrs['_main_server'] fluid.framework.switch_startup_program(self.attrs[ '_startup_server']) class FlPsProgramBuilder(HeterAsyncPsProgramBuilder): def __init__(self, pass_ctx): super(FlPsProgramBuilder, self).__init__(pass_ctx) def _build_trainer_programs(self): _main_file = ps_log_root_dir + '0_fl_worker_main_program.prototxt' #debug_program(_main_file, self.cloned_main) distributed_ops_pass = new_pass("distributed_ops_pass", self.attrs) distributed_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) _main_file = ps_log_root_dir + '1_fl_worker_main_program.prototxt' #debug_program(_main_file, self.cloned_main) delete_optimizer_pass = new_pass("delete_optimizer_pass", self.attrs) delete_optimizer_pass.apply([self.cloned_main], [None], self.pass_ctx) _main_file = ps_log_root_dir + '2_fl_worker_main_program.prototxt' #debug_program(_main_file, self.cloned_main) append_send_ops_pass = new_pass("append_send_ops_pass", self.attrs) append_send_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) _main_file = ps_log_root_dir + '3_fl_worker_main_program.prototxt' #debug_program(_main_file, self.cloned_main) delete_extra_optimizer_pass = new_pass("delete_extra_optimizer_pass", self.attrs) delete_extra_optimizer_pass.apply([self.attrs['origin_main_program']], [self.cloned_startup], self.pass_ctx) _main_file = ps_log_root_dir + '4_fl_worker_main_program.prototxt' #debug_program(_main_file, self.cloned_main) fake_init_ops_pass = new_pass("fake_init_ops_pass", self.attrs) fake_init_ops_pass.apply([None], [self.cloned_startup], self.pass_ctx) _main_file = ps_log_root_dir + '5_fl_worker_main_program.prototxt' #debug_program(_main_file, self.cloned_main) split_trainer_ops_pass = new_pass("split_fl_ops_pass", self.attrs) split_trainer_ops_pass.apply([self.cloned_main], [None], self.pass_ctx) if not self.is_heter_worker: self.part_a_program = self.pass_ctx._attrs['part_a_main_program'] self.cloned_main = self.part_a_program _main_file = ps_log_root_dir + '8_fl_A_main_program.prototxt' debug_program(_main_file, self.cloned_main) else: self.part_b_program = self.pass_ctx._attrs['part_b_main_program'] self.cloned_main = self.part_b_program _main_file = ps_log_root_dir + '8_fl_B_main_program.prototxt' debug_program(_main_file, self.cloned_main) set_heter_pipeline_opt_pass = new_pass('set_heter_pipeline_opt_pass', self.attrs) set_heter_pipeline_opt_pass.apply([self.cloned_main], [self.cloned_startup], self.pass_ctx) self.attrs['origin_startup_program'] = self.cloned_startup self.attrs['origin_main_program'] = self.cloned_main if not self.is_heter_worker: _main_file = ps_log_root_dir + 'final_fl_A_main_program.prototxt' debug_program(_main_file, self.attrs['origin_main_program'] ._heter_pipeline_opt['section_program']) else: _main_file = ps_log_root_dir + 'final_fl_B_main_program.prototxt' debug_program(_main_file, self.attrs['origin_main_program'] ._heter_pipeline_opt['section_program']) return def _build_pserver_programs(self): self.loss.block.program = self.attrs['_main_server'] def _build_programs(self): if not self.is_server: self._build_trainer_programs() fluid.framework.switch_startup_program(self.cloned_startup) fluid.framework.switch_main_program(self.cloned_main) print("fluid.default_startup_program: {}".format( fluid.default_startup_program()._heter_pipeline_opt)) else: self._build_pserver_programs() fluid.framework.switch_startup_program(self.attrs[ '_startup_server']) fluid.framework.switch_main_program(self.attrs['_main_server'])