wehub-resource-sync
135 lines
4.6 KiB
Python
135 lines
4.6 KiB
Python
# Copyright (c) 2018 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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"""Test cloud role maker."""
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import os
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import unittest
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import paddle
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from paddle.incubate.distributed.fleet import role_maker
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class TestCloudRoleMaker(unittest.TestCase):
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"""
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Test cases for PaddleCloudRoleMaker.
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"""
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def setUp(self):
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"""Set up, set envs."""
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os.environ["PADDLE_TRAINERS_NUM"] = "2"
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os.environ["PADDLE_PSERVERS_IP_PORT_LIST"] = (
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"127.0.0.1:36001,127.0.0.2:36001"
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)
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def test_tr_rolemaker(self):
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"""Test tr rolemaker."""
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os.environ["TRAINING_ROLE"] = "TRAINER"
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os.environ["PADDLE_TRAINER_ID"] = "0"
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ro = role_maker.PaddleCloudRoleMaker(is_collective=False)
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ro.generate_role()
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self.assertTrue(ro.is_worker())
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self.assertFalse(ro.is_server())
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self.assertEqual(ro.worker_num(), 2)
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def test_ps_rolemaker(self):
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"""Test ps rolemaker."""
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os.environ["TRAINING_ROLE"] = "PSERVER"
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os.environ["POD_IP"] = "127.0.0.1"
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os.environ["PADDLE_PORT"] = "36001"
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ro = role_maker.PaddleCloudRoleMaker(is_collective=False)
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ro.generate_role()
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self.assertFalse(ro.is_worker())
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self.assertTrue(ro.is_server())
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self.assertEqual(ro.worker_num(), 2)
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def test_training_role(self):
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"""Test training role."""
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os.environ["TRAINING_ROLE"] = "TEST"
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ro = role_maker.PaddleCloudRoleMaker(is_collective=False)
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self.assertRaises(ValueError, ro.generate_role)
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def test_pslib_1(self):
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"""Test cases for pslib."""
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from paddle import base
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from paddle.incubate.distributed.fleet.parameter_server.pslib import (
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fleet,
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)
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from paddle.incubate.distributed.fleet.role_maker import (
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GeneralRoleMaker,
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)
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os.environ["POD_IP"] = "127.0.0.1"
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os.environ["PADDLE_PORT"] = "36001"
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os.environ["TRAINING_ROLE"] = "TRAINER"
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os.environ["PADDLE_TRAINER_ENDPOINTS"] = "127.0.0.1:36001"
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os.environ["PADDLE_PSERVERS_IP_PORT_LIST"] = "127.0.0.1:36002"
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os.environ["PADDLE_TRAINER_ID"] = "0"
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role_maker = GeneralRoleMaker()
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# print("init rolemaker")
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# role_maker.generate_role()
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place = base.CPUPlace()
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exe = base.Executor(place)
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# fleet.init(role_maker)
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train_program = base.Program()
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startup_program = base.Program()
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scope = base.Scope()
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with base.program_guard(train_program, startup_program):
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show = paddle.static.data(
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name="show", shape=[-1, 1], dtype="float32"
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)
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fc = paddle.static.nn.fc(x=show, size=1, activation=None)
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label = paddle.static.data(
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name="click", shape=[-1, 1], dtype="int64"
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)
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label_cast = paddle.cast(label, dtype='float32')
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cost = paddle.nn.functional.log_loss(fc, label_cast)
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try:
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adam = paddle.optimizer.Adam(learning_rate=0.000005)
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adam = fleet.distributed_optimizer(adam)
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adam.minimize([cost], [scope])
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fleet.run_server()
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except:
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print("do not support pslib test, skip")
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return
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fleet.clear_one_table(0)
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from paddle.incubate.distributed.fleet.role_maker import (
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MPISymmetricRoleMaker,
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)
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try:
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role = MPISymmetricRoleMaker()
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role._all_reduce([1], [2])
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except:
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print("catch expected error of not inited")
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try:
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role = MPISymmetricRoleMaker()
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role._all_reduce([1], [2], "min")
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except:
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print("catch expected error of not inited")
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try:
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role = MPISymmetricRoleMaker()
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role._all_reduce([1], [2], "max")
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except:
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print("catch expected error of not inited")
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try:
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role = MPISymmetricRoleMaker()
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role._all_reduce([1], [2], "unknown")
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except:
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print("catch expected error of unknown type")
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if __name__ == "__main__":
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unittest.main()
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