You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
257 lines
12 KiB
257 lines
12 KiB
# Copyright (c) 2019 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 unittest
|
|
import paddle.fluid as fluid
|
|
from paddle.fluid.transpiler.distribute_transpiler import DistributeTranspilerConfig, ServerRuntimeConfig
|
|
from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler.distributed_strategy import StrategyFactory
|
|
from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler import fleet
|
|
import paddle.fluid.incubate.fleet.base.role_maker as role_maker
|
|
import os
|
|
|
|
|
|
class TestStrategyFactor(unittest.TestCase):
|
|
def test_sync_strategy(self):
|
|
os.environ['CPU_NUM'] = "2"
|
|
strategy = StrategyFactory.create_sync_strategy()
|
|
self.assertEqual(strategy._program_config.sync_mode, False)
|
|
self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
|
|
self.assertEqual(strategy._build_strategy.async_mode, True)
|
|
self.assertEqual(strategy._execute_strategy.num_threads, 2)
|
|
|
|
# test set_program_config using DistributeTranspilerConfig()
|
|
program_config_class = DistributeTranspilerConfig()
|
|
program_config_class.min_block_size = 81920
|
|
strategy.set_program_config(program_config_class)
|
|
program_config = strategy.get_program_config()
|
|
self.assertEqual(program_config.min_block_size, 81920)
|
|
|
|
# test set_program_config using dict
|
|
program_config_dict = dict()
|
|
program_config_dict['min_block_size'] = 8192
|
|
strategy.set_program_config(program_config_dict)
|
|
program_config = strategy.get_program_config()
|
|
self.assertEqual(program_config.min_block_size, 8192)
|
|
|
|
# test set_program_config exception
|
|
program_config_dict['unknown'] = None
|
|
self.assertRaises(Exception, strategy.set_program_config,
|
|
program_config_dict)
|
|
program_config_illegal = None
|
|
self.assertRaises(Exception, strategy.set_program_config,
|
|
program_config_illegal)
|
|
|
|
trainer_runtime_config = strategy.get_trainer_runtime_config()
|
|
trainer_runtime_config.runtime_configs[
|
|
'communicator_send_queue_size'] = '50'
|
|
runtime_configs = trainer_runtime_config.get_communicator_flags()
|
|
self.assertIn('communicator_send_queue_size', runtime_configs)
|
|
self.assertNotIn('communicator_independent_recv_thread',
|
|
runtime_configs)
|
|
self.assertEqual(runtime_configs['communicator_send_queue_size'], '2')
|
|
|
|
def test_geo_strategy(self):
|
|
strategy = StrategyFactory.create_geo_strategy(5)
|
|
self.assertEqual(strategy._program_config.sync_mode, False)
|
|
self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
|
|
self.assertEqual(strategy._program_config.geo_sgd_mode, True)
|
|
self.assertEqual(strategy._program_config.geo_sgd_need_push_nums, 5)
|
|
self.assertEqual(strategy._build_strategy.async_mode, True)
|
|
|
|
# test set_build_strategy using fluid.BuildStrategy
|
|
build_strategy_class = fluid.BuildStrategy()
|
|
build_strategy_class.memory_optimize = False
|
|
strategy.set_build_strategy(build_strategy_class)
|
|
build_strategy = strategy.get_build_strategy()
|
|
self.assertEqual(build_strategy.memory_optimize, False)
|
|
|
|
# test set_build_strategy using dict
|
|
build_strategy_dict = dict()
|
|
build_strategy_dict['memory_optimize'] = True
|
|
strategy.set_build_strategy(build_strategy_dict)
|
|
build_strategy = strategy.get_build_strategy()
|
|
self.assertEqual(build_strategy.memory_optimize, True)
|
|
|
|
# test set_build_strategy exception
|
|
build_strategy_dict['unknown'] = None
|
|
self.assertRaises(Exception, strategy.set_build_strategy,
|
|
build_strategy_dict)
|
|
build_strategy_illegal = None
|
|
self.assertRaises(Exception, strategy.set_build_strategy,
|
|
build_strategy_illegal)
|
|
|
|
os.environ["CPU_NUM"] = '100'
|
|
trainer_runtime_config = strategy.get_trainer_runtime_config()
|
|
runtime_configs = trainer_runtime_config.get_communicator_flags()
|
|
self.assertIn('communicator_thread_pool_size', runtime_configs)
|
|
self.assertIn('communicator_send_wait_times', runtime_configs)
|
|
self.assertNotIn('communicator_independent_recv_thread',
|
|
runtime_configs)
|
|
|
|
def test_async_strategy(self):
|
|
os.environ["CPU_NUM"] = '100'
|
|
|
|
strategy = StrategyFactory.create_async_strategy()
|
|
self.assertEqual(strategy._program_config.sync_mode, False)
|
|
self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
|
|
self.assertEqual(strategy._build_strategy.async_mode, True)
|
|
|
|
trainer_runtime_config = strategy.get_trainer_runtime_config()
|
|
self.assertEqual(trainer_runtime_config.runtime_configs[
|
|
'communicator_send_queue_size'], '100')
|
|
|
|
# test set_trainer_runtime_config using dict
|
|
trainer_runtime_config_dict = dict()
|
|
trainer_runtime_config_dict['communicator_send_queue_size'] = '20'
|
|
strategy.set_trainer_runtime_config(trainer_runtime_config_dict)
|
|
trainer_runtime_config = strategy.get_trainer_runtime_config()
|
|
trainer_communicator_flags = trainer_runtime_config.get_communicator_flags(
|
|
)
|
|
self.assertIn('communicator_send_queue_size',
|
|
trainer_communicator_flags)
|
|
self.assertEqual(
|
|
trainer_communicator_flags['communicator_send_queue_size'], '20')
|
|
|
|
# test set_trainer_runtime_config exception
|
|
trainer_runtime_config_dict['unknown'] = None
|
|
self.assertRaises(Exception, strategy.set_trainer_runtime_config,
|
|
trainer_runtime_config_dict)
|
|
trainer_runtime_config_illegal = None
|
|
self.assertRaises(Exception, strategy.set_trainer_runtime_config,
|
|
trainer_runtime_config_illegal)
|
|
|
|
# test set_execute_strategy using fluid.ExecutionStrategy
|
|
exec_strategy_class = fluid.ExecutionStrategy()
|
|
exec_strategy_class.num_threads = 4
|
|
strategy.set_execute_strategy(exec_strategy_class)
|
|
exec_strategy = strategy.get_execute_strategy()
|
|
self.assertEqual(exec_strategy.num_threads, 4)
|
|
|
|
# test set_execute_strategy using dict
|
|
exec_strategy_dict = dict()
|
|
exec_strategy_dict['num_threads'] = 8
|
|
strategy.set_execute_strategy(exec_strategy_dict)
|
|
exec_strategy = strategy.get_execute_strategy()
|
|
self.assertEqual(exec_strategy.num_threads, 8)
|
|
|
|
# test set_execute_strategy exception
|
|
exec_strategy_dict['unknown'] = None
|
|
self.assertRaises(Exception, strategy.set_execute_strategy,
|
|
exec_strategy_dict)
|
|
exec_strategy_illegal = None
|
|
self.assertRaises(Exception, strategy.set_execute_strategy,
|
|
exec_strategy_illegal)
|
|
|
|
def test_half_async_strategy(self):
|
|
strategy = StrategyFactory.create_half_async_strategy()
|
|
self.assertEqual(strategy._program_config.sync_mode, False)
|
|
self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
|
|
self.assertEqual(strategy._build_strategy.async_mode, True)
|
|
|
|
# test set_server_runtime_config using ServerRuntimeConfig
|
|
server_runtime_config_class = ServerRuntimeConfig()
|
|
server_runtime_config_class._rpc_send_thread_num = 24
|
|
strategy.set_server_runtime_config(server_runtime_config_class)
|
|
server_runtime_config = strategy.get_server_runtime_config()
|
|
self.assertEqual(server_runtime_config._rpc_send_thread_num, 24)
|
|
|
|
# test set_server_runtime_config using dict
|
|
server_runtime_config_dict = dict()
|
|
server_runtime_config_dict['_rpc_send_thread_num'] = 20
|
|
strategy.set_server_runtime_config(server_runtime_config_dict)
|
|
server_runtime_config = strategy.get_server_runtime_config()
|
|
self.assertEqual(server_runtime_config._rpc_send_thread_num, 20)
|
|
|
|
# test set_server_runtime_config exception
|
|
server_runtime_config_dict['unknown'] = None
|
|
self.assertRaises(Exception, strategy.set_server_runtime_config,
|
|
server_runtime_config_dict)
|
|
server_runtime_config_illegal = None
|
|
self.assertRaises(Exception, strategy.set_server_runtime_config,
|
|
server_runtime_config_illegal)
|
|
|
|
os.environ["CPU_NUM"] = '100'
|
|
trainer_runtime_config = strategy.get_trainer_runtime_config()
|
|
trainer_runtime_config.runtime_configs[
|
|
'communicator_send_queue_size'] = '50'
|
|
runtime_configs = trainer_runtime_config.get_communicator_flags()
|
|
self.assertIn('communicator_send_queue_size', runtime_configs)
|
|
self.assertNotIn('communicator_independent_recv_thread',
|
|
runtime_configs)
|
|
self.assertEqual(runtime_configs['communicator_send_queue_size'], '100')
|
|
|
|
|
|
class TestCreateDefaultStrategy(unittest.TestCase):
|
|
def test_default_strategy(self):
|
|
role = role_maker.UserDefinedRoleMaker(
|
|
current_id=0,
|
|
role=role_maker.Role.WORKER,
|
|
worker_num=2,
|
|
server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"])
|
|
fleet.init(role)
|
|
|
|
def type_error_optimizer():
|
|
optimizer = fluid.optimizer.SGD(0.0001)
|
|
optimizer = fleet.distributed_optimizer(optimizer)
|
|
|
|
self.assertRaises(TypeError, type_error_optimizer)
|
|
|
|
|
|
class TestHalfAsyncStrategy(unittest.TestCase):
|
|
def test_half_async_strategy(self):
|
|
role = role_maker.UserDefinedRoleMaker(
|
|
current_id=0,
|
|
role=role_maker.Role.WORKER,
|
|
worker_num=2,
|
|
server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"])
|
|
fleet.init(role)
|
|
|
|
half_async_config = DistributeTranspilerConfig()
|
|
|
|
half_async_config.sync_mode = False
|
|
half_async_config.geo_sgd_mode = False
|
|
half_async_config.runtime_split_send_recv = False
|
|
|
|
optimizer = fluid.optimizer.SGD(0.0001)
|
|
optimizer = fleet.distributed_optimizer(optimizer, half_async_config)
|
|
|
|
|
|
class TestDebugInfo(unittest.TestCase):
|
|
def test_debug_info(self):
|
|
x = fluid.layers.data(name='x', shape=[1], dtype='float32')
|
|
y = fluid.layers.data(name='y', shape=[1], dtype='float32')
|
|
y_predict = fluid.layers.fc(input=x, size=1, act=None)
|
|
cost = fluid.layers.square_error_cost(input=y_predict, label=y)
|
|
avg_cost = fluid.layers.mean(cost)
|
|
|
|
role = role_maker.UserDefinedRoleMaker(
|
|
current_id=0,
|
|
role=role_maker.Role.WORKER,
|
|
worker_num=2,
|
|
server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"])
|
|
fleet.init(role)
|
|
|
|
optimizer = fluid.optimizer.SGD(0.0001)
|
|
strategy = StrategyFactory.create_sync_strategy()
|
|
strategy.set_debug_opt({
|
|
"dump_param": ["fc_0.tmp_0"],
|
|
"dump_fields": ["fc_0.tmp_0", "fc_0.tmp_0@GRAD"],
|
|
"dump_fields_path": "dump_text/"
|
|
})
|
|
optimizer = fleet.distributed_optimizer(optimizer, strategy)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|