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.
81 lines
2.7 KiB
81 lines
2.7 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.
|
|
|
|
from __future__ import print_function
|
|
import paddle.distributed.fleet as fleet
|
|
import paddle.distributed.fleet.base.role_maker as role_maker
|
|
import paddle.fluid as fluid
|
|
import os
|
|
import unittest
|
|
import paddle
|
|
paddle.enable_static()
|
|
|
|
# For Net
|
|
base_lr = 0.2
|
|
emb_lr = base_lr * 3
|
|
dict_dim = 1500
|
|
emb_dim = 128
|
|
hid_dim = 128
|
|
margin = 0.1
|
|
sample_rate = 1
|
|
batch_size = 4
|
|
|
|
|
|
class TestNoamDecay(unittest.TestCase):
|
|
def net(self):
|
|
input_data = paddle.static.data(
|
|
name="sparse_input", shape=[None, 1], dtype="int64")
|
|
input_label = paddle.static.data(
|
|
name="label", shape=[None, 1], dtype="int64")
|
|
label = paddle.cast(input_label, dtype="float32")
|
|
embedding = paddle.static.nn.embedding(
|
|
input_data, is_sparse=True, size=[1000, 128])
|
|
|
|
fc1 = paddle.static.nn.fc(embedding, size=1024, activation="relu")
|
|
fc2 = paddle.static.nn.fc(fc1, size=512, activation="relu")
|
|
fc3 = paddle.static.nn.fc(fc2, size=256, activation="relu")
|
|
predict = paddle.static.nn.fc(fc3, size=2, activation="softmax")
|
|
label = paddle.cast(label, dtype="int64")
|
|
cost = paddle.nn.functional.cross_entropy(input=predict, label=label)
|
|
paddle.static.Print(cost, message="heter_cost")
|
|
return cost
|
|
|
|
def test(self):
|
|
endpoints = [
|
|
"127.0.0.1:36004", "127.0.0.1:36005", "127.0.0.1:36006",
|
|
"127.0.0.1:36007"
|
|
]
|
|
|
|
role = role_maker.UserDefinedRoleMaker(
|
|
current_id=0,
|
|
role=role_maker.Role.WORKER,
|
|
worker_num=2,
|
|
server_endpoints=endpoints)
|
|
|
|
fleet.init(role)
|
|
loss = self.net()
|
|
scheduler = paddle.optimizer.lr.NoamDecay(
|
|
d_model=0.01, warmup_steps=100, verbose=True)
|
|
optimizer = fluid.optimizer.Adam(scheduler)
|
|
|
|
strategy = paddle.distributed.fleet.DistributedStrategy()
|
|
strategy.a_sync = True
|
|
strategy.a_sync_configs = {"launch_barrier": False}
|
|
optimizer = fleet.distributed_optimizer(optimizer, strategy)
|
|
optimizer.minimize(loss)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|