wehub-resource-sync
292 lines
11 KiB
Python
292 lines
11 KiB
Python
# 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 os
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import unittest
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import paddle
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from paddle import base
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from paddle.distributed.transpiler.distribute_transpiler import (
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DistributeTranspilerConfig,
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ServerRuntimeConfig,
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)
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from paddle.incubate.distributed.fleet import role_maker
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from paddle.incubate.distributed.fleet.parameter_server.distribute_transpiler import (
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fleet,
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)
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from paddle.incubate.distributed.fleet.parameter_server.distribute_transpiler.distributed_strategy import (
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StrategyFactory,
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)
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class TestStrategyFactor(unittest.TestCase):
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def test_sync_strategy(self):
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os.environ['CPU_NUM'] = "2"
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strategy = StrategyFactory.create_sync_strategy()
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self.assertEqual(strategy._program_config.sync_mode, False)
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self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
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self.assertEqual(strategy._build_strategy.async_mode, True)
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# test set_program_config using DistributeTranspilerConfig()
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program_config_class = DistributeTranspilerConfig()
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program_config_class.min_block_size = 81920
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strategy.set_program_config(program_config_class)
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program_config = strategy.get_program_config()
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self.assertEqual(program_config.min_block_size, 81920)
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# test set_program_config using dict
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program_config_dict = {}
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program_config_dict['min_block_size'] = 8192
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strategy.set_program_config(program_config_dict)
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program_config = strategy.get_program_config()
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self.assertEqual(program_config.min_block_size, 8192)
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# test set_program_config exception
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program_config_dict['unknown'] = None
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self.assertRaisesRegex(
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ValueError,
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"DistributeTranspilerConfig doesn't have key",
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strategy.set_program_config,
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program_config_dict,
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)
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program_config_illegal = None
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self.assertRaisesRegex(
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TypeError,
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"input type: dict or DistributeTranspilerConfig",
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strategy.set_program_config,
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program_config_illegal,
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)
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trainer_runtime_config = strategy.get_trainer_runtime_config()
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trainer_runtime_config.runtime_configs[
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'communicator_send_queue_size'
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] = '50'
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runtime_configs = trainer_runtime_config.get_communicator_flags()
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self.assertIn('communicator_send_queue_size', runtime_configs)
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self.assertNotIn(
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'communicator_independent_recv_thread', runtime_configs
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)
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self.assertEqual(runtime_configs['communicator_send_queue_size'], '2')
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def test_geo_strategy(self):
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strategy = StrategyFactory.create_geo_strategy(5)
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self.assertEqual(strategy._program_config.sync_mode, False)
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self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
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self.assertEqual(strategy._program_config.geo_sgd_mode, True)
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self.assertEqual(strategy._program_config.geo_sgd_need_push_nums, 5)
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self.assertEqual(strategy._build_strategy.async_mode, True)
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# test set_build_strategy using base.BuildStrategy
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build_strategy_class = base.BuildStrategy()
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build_strategy_class.memory_optimize = False
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strategy.set_build_strategy(build_strategy_class)
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build_strategy = strategy.get_build_strategy()
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self.assertEqual(build_strategy.memory_optimize, False)
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# test set_build_strategy using dict
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build_strategy_dict = {}
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build_strategy_dict['memory_optimize'] = True
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strategy.set_build_strategy(build_strategy_dict)
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build_strategy = strategy.get_build_strategy()
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self.assertEqual(build_strategy.memory_optimize, True)
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# test set_build_strategy exception
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build_strategy_dict['unknown'] = None
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self.assertRaisesRegex(
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ValueError,
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"BuildStrategy doesn't have key",
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strategy.set_build_strategy,
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build_strategy_dict,
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)
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build_strategy_illegal = None
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self.assertRaisesRegex(
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TypeError,
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"input type: dict or BuildStrategy",
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strategy.set_build_strategy,
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build_strategy_illegal,
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)
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os.environ["CPU_NUM"] = '100'
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trainer_runtime_config = strategy.get_trainer_runtime_config()
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runtime_configs = trainer_runtime_config.get_communicator_flags()
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self.assertIn('communicator_thread_pool_size', runtime_configs)
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self.assertIn('communicator_send_wait_times', runtime_configs)
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self.assertNotIn(
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'communicator_independent_recv_thread', runtime_configs
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)
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def test_async_strategy(self):
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os.environ["CPU_NUM"] = '100'
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strategy = StrategyFactory.create_async_strategy()
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self.assertEqual(strategy._program_config.sync_mode, False)
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self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
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self.assertEqual(strategy._build_strategy.async_mode, True)
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trainer_runtime_config = strategy.get_trainer_runtime_config()
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self.assertEqual(
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trainer_runtime_config.runtime_configs[
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'communicator_send_queue_size'
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],
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'100',
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)
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# test set_trainer_runtime_config using dict
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trainer_runtime_config_dict = {}
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trainer_runtime_config_dict['communicator_send_queue_size'] = '20'
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strategy.set_trainer_runtime_config(trainer_runtime_config_dict)
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trainer_runtime_config = strategy.get_trainer_runtime_config()
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trainer_communicator_flags = (
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trainer_runtime_config.get_communicator_flags()
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)
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self.assertIn(
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'communicator_send_queue_size', trainer_communicator_flags
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)
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self.assertEqual(
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trainer_communicator_flags['communicator_send_queue_size'], '20'
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)
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# test set_trainer_runtime_config exception
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trainer_runtime_config_dict['unknown'] = None
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self.assertRaisesRegex(
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ValueError,
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"TrainerRuntimeConfig doesn't have key",
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strategy.set_trainer_runtime_config,
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trainer_runtime_config_dict,
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)
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trainer_runtime_config_illegal = None
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self.assertRaisesRegex(
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TypeError,
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"input type: dict or TrainerRuntimeConfig",
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strategy.set_trainer_runtime_config,
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trainer_runtime_config_illegal,
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)
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def test_half_async_strategy(self):
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strategy = StrategyFactory.create_half_async_strategy()
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self.assertEqual(strategy._program_config.sync_mode, False)
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self.assertEqual(strategy._program_config.runtime_split_send_recv, True)
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self.assertEqual(strategy._build_strategy.async_mode, True)
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# test set_server_runtime_config using ServerRuntimeConfig
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server_runtime_config_class = ServerRuntimeConfig()
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server_runtime_config_class._rpc_send_thread_num = 24
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strategy.set_server_runtime_config(server_runtime_config_class)
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server_runtime_config = strategy.get_server_runtime_config()
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self.assertEqual(server_runtime_config._rpc_send_thread_num, 24)
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# test set_server_runtime_config using dict
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server_runtime_config_dict = {}
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server_runtime_config_dict['_rpc_send_thread_num'] = 20
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strategy.set_server_runtime_config(server_runtime_config_dict)
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server_runtime_config = strategy.get_server_runtime_config()
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self.assertEqual(server_runtime_config._rpc_send_thread_num, 20)
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# test set_server_runtime_config exception
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server_runtime_config_dict['unknown'] = None
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self.assertRaisesRegex(
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ValueError,
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"ServerRuntimeConfig doesn't have key",
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strategy.set_server_runtime_config,
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server_runtime_config_dict,
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)
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server_runtime_config_illegal = None
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self.assertRaisesRegex(
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TypeError,
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"input type: dict or ServerRuntimeConfig",
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strategy.set_server_runtime_config,
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server_runtime_config_illegal,
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)
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os.environ["CPU_NUM"] = '100'
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trainer_runtime_config = strategy.get_trainer_runtime_config()
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trainer_runtime_config.runtime_configs[
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'communicator_send_queue_size'
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] = '50'
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runtime_configs = trainer_runtime_config.get_communicator_flags()
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self.assertIn('communicator_send_queue_size', runtime_configs)
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self.assertNotIn(
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'communicator_independent_recv_thread', runtime_configs
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)
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self.assertEqual(runtime_configs['communicator_send_queue_size'], '100')
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class TestCreateDefaultStrategy(unittest.TestCase):
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def test_default_strategy(self):
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role = role_maker.UserDefinedRoleMaker(
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current_id=0,
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role=role_maker.Role.WORKER,
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worker_num=2,
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server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"],
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)
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fleet.init(role)
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def type_error_optimizer():
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optimizer = paddle.optimizer.SGD(0.0001)
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optimizer = fleet.distributed_optimizer(optimizer)
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self.assertRaises(TypeError, type_error_optimizer)
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class TestHalfAsyncStrategy(unittest.TestCase):
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def test_half_async_strategy(self):
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role = role_maker.UserDefinedRoleMaker(
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current_id=0,
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role=role_maker.Role.WORKER,
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worker_num=2,
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server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"],
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)
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fleet.init(role)
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half_async_config = DistributeTranspilerConfig()
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half_async_config.sync_mode = False
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half_async_config.geo_sgd_mode = False
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half_async_config.runtime_split_send_recv = False
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optimizer = paddle.optimizer.SGD(0.0001)
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optimizer = fleet.distributed_optimizer(optimizer, half_async_config)
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class TestDebugInfo(unittest.TestCase):
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def test_debug_info(self):
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x = paddle.static.data(name='x', shape=[-1, 1], dtype='float32')
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y = paddle.static.data(name='y', shape=[-1, 1], dtype='float32')
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y_predict = paddle.static.nn.fc(x, size=1, activation=None)
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cost = paddle.nn.functional.square_error_cost(input=y_predict, label=y)
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avg_cost = paddle.mean(cost)
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role = role_maker.UserDefinedRoleMaker(
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current_id=0,
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role=role_maker.Role.WORKER,
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worker_num=2,
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server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"],
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)
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fleet.init(role)
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optimizer = paddle.optimizer.SGD(0.0001)
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strategy = StrategyFactory.create_sync_strategy()
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strategy.set_debug_opt(
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{
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"dump_param": ["fc_0.tmp_0"],
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"dump_fields": ["fc_0.tmp_0", "fc_0.tmp_0@GRAD"],
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"dump_fields_path": "dump_text/",
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}
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)
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optimizer = fleet.distributed_optimizer(optimizer, strategy)
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if __name__ == '__main__':
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unittest.main()
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