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