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110 lines
4.3 KiB
110 lines
4.3 KiB
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import sys
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__all__ = ['DeviceWorker', 'Hogwild', 'DownpourSGD']
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class DeviceWorker(object):
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def __init__(self):
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self.program_ = None
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def set_fleet_desc(self, fleet_desc):
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self.fleet_desc_ = fleet_desc
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def set_program(self, program):
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self.program_ = program
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def gen_worker_desc(self, trainer_desc):
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pass
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class Hogwild(DeviceWorker):
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def __init__(self):
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super(Hogwild, self).__init__()
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def gen_worker_desc(self, trainer_desc):
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trainer_desc.device_worker_name = "HogwildWorker"
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class DownpourSGD(DeviceWorker):
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def __init__(self):
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super(DownpourSGD, self).__init__()
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def gen_worker_desc(self, trainer_desc):
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trainer_desc.device_worker_name = "DownpourWorker"
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pull_thread = trainer_desc.pull_dense_param
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pull_thread.device_num = trainer_desc.thread_num
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dense_table = pull_thread.dense_table.add()
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dense_table.dense_value_name.extend(
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self.fleet_desc_.trainer_param.dense_table[0].dense_variable_name)
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dense_table.table_id = \
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self.fleet_desc_.trainer_param.dense_table[0].table_id
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downpour = trainer_desc.downpour_param
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sparse_table = downpour.sparse_table.add()
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sparse_table.table_id = \
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self.fleet_desc_.trainer_param.sparse_table[0].table_id
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sparse_table.sparse_key_name.extend(
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self.fleet_desc_.trainer_param.sparse_table[0].slot_key)
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sparse_table.sparse_value_name.extend(
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self.fleet_desc_.trainer_param.sparse_table[0].slot_value)
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sparse_table.sparse_grad_name.extend(
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self.fleet_desc_.trainer_param.sparse_table[0].slot_gradient)
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sparse_table.emb_dim = \
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self.fleet_desc_.server_param.downpour_server_param.downpour_table_param[
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0].accessor.fea_dim - 2
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sparse_table.fea_dim = sparse_table.emb_dim + 2
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# TODO(guru4elephant): hard code here, need to improve
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sparse_table.label_var_name = "click"
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dense_table_set = set()
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program_id = str(id(self.program_))
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if self.program_ == None:
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print("program of current device worker is not configured")
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sys.exit(-1)
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opt_info = self.program_._fleet_opt
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program_configs = opt_info["program_configs"]
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for pid in program_configs:
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if pid == program_id:
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pc = downpour.program_config.add()
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pc.program_id = program_id
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for i in program_configs[program_id]["push_sparse"]:
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pc.push_sparse_table_id.extend([i])
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for i in program_configs[program_id]["push_dense"]:
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pc.push_dense_table_id.extend([i])
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for i in program_configs[program_id]["pull_sparse"]:
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pc.pull_sparse_table_id.extend([i])
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dense_table_set.add(i)
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for i in program_configs[program_id]["pull_dense"]:
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pc.pull_dense_table_id.extend([i])
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dense_table_set.add(i)
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break
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for i in self.fleet_desc_.trainer_param.dense_table:
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if i.table_id in dense_table_set:
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dense_table = downpour.dense_table.add()
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dense_table.table_id = i.table_id
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dense_table.dense_value_name.extend(
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i.dense_variable_name)
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dense_table.dense_grad_name.extend(
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i.dense_gradient_variable_name)
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downpour.skip_ops.extend(self.fleet_desc_.trainer_param.skip_op)
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class DeviceWorkerFactory(object):
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def create_device_worker(self, worker_type):
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classname = worker_type.capitalize()
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return globals()[classname]()
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