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.
76 lines
2.7 KiB
76 lines
2.7 KiB
import paddle.v2 as paddle
|
|
import paddle.v2.dataset.uci_housing as uci_housing
|
|
import paddle.v2.master as master
|
|
import os
|
|
import cPickle as pickle
|
|
from paddle.v2.reader.creator import cloud_reader
|
|
|
|
etcd_ip = os.getenv("MASTER_IP", "127.0.0.1")
|
|
etcd_endpoints = "http://" + etcd_ip + ":2379"
|
|
print "etcd endpoints: ", etcd_endpoints
|
|
|
|
|
|
def main():
|
|
# init
|
|
paddle.init(use_gpu=False, trainer_count=1)
|
|
|
|
# network config
|
|
x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13))
|
|
y_predict = paddle.layer.fc(input=x,
|
|
param_attr=paddle.attr.Param(name='w'),
|
|
size=1,
|
|
act=paddle.activation.Linear(),
|
|
bias_attr=paddle.attr.Param(name='b'))
|
|
y = paddle.layer.data(name='y', type=paddle.data_type.dense_vector(1))
|
|
cost = paddle.layer.mse_cost(input=y_predict, label=y)
|
|
|
|
# create parameters
|
|
parameters = paddle.parameters.create(cost)
|
|
|
|
# create optimizer of new remote updater to pserver
|
|
optimizer = paddle.optimizer.Momentum(momentum=0, learning_rate=1e-3)
|
|
|
|
trainer = paddle.trainer.SGD(cost=cost,
|
|
parameters=parameters,
|
|
update_equation=optimizer,
|
|
is_local=False,
|
|
pserver_spec=etcd_endpoints,
|
|
use_etcd=True)
|
|
|
|
# event_handler to print training and testing info
|
|
def event_handler(event):
|
|
if isinstance(event, paddle.event.EndIteration):
|
|
# FIXME: for cloud data reader, pass number is managed by master
|
|
# should print the server side pass number
|
|
if event.batch_id % 100 == 0:
|
|
print "Pass %d, Batch %d, Cost %f" % (
|
|
event.pass_id, event.batch_id, event.cost)
|
|
|
|
if isinstance(event, paddle.event.EndPass):
|
|
if (event.pass_id + 1) % 10 == 0:
|
|
result = trainer.test(
|
|
reader=paddle.batch(
|
|
uci_housing.test(), batch_size=2),
|
|
feeding={'x': 0,
|
|
'y': 1})
|
|
print "Test %d, %.2f" % (event.pass_id, result.cost)
|
|
|
|
# training
|
|
# NOTE: use uci_housing.train() as reader for non-paddlecloud training
|
|
trainer.train(
|
|
reader=paddle.batch(
|
|
paddle.reader.shuffle(
|
|
cloud_reader(
|
|
["/pfs/dlnel/public/dataset/uci_housing/uci_housing*"],
|
|
etcd_endpoints),
|
|
buf_size=500),
|
|
batch_size=2),
|
|
feeding={'x': 0,
|
|
'y': 1},
|
|
event_handler=event_handler,
|
|
num_passes=30)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|