未验证 提交 92b0c699 编写于 作者: H helinwang 提交者: GitHub

Merge pull request #5645 from helinwang/model

Remove unused model.py
...@@ -33,7 +33,6 @@ import networks ...@@ -33,7 +33,6 @@ import networks
import minibatch import minibatch
import plot import plot
import image import image
import model
import paddle.trainer.config_parser as cp import paddle.trainer.config_parser as cp
__all__ = [ __all__ = [
...@@ -58,7 +57,6 @@ __all__ = [ ...@@ -58,7 +57,6 @@ __all__ = [
'evaluator', 'evaluator',
'image', 'image',
'master', 'master',
'model',
] ]
cp.begin_parse() cp.begin_parse()
......
# Copyright (c) 2016 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.
import os
import errno
import uuid
import paddle.v2.master
__all__ = ["save_model", "load_model"]
trainer_id = str(uuid.uuid4())
def mkdir_p(path):
try:
os.makedirs(path)
except OSError as exc:
if exc.errno == errno.EEXIST and os.path.isdir(path):
pass
else:
raise
def save_model(parameters, path):
need_request = "KUBERNETES_SERVICE_HOST" in os.environ.keys()
if need_request:
# TODO(helin): figure out how MPI trains, since MPI only save
# model when trainer_id == "0", we can consolidate the logic
# here.
# TODO(helin): change this environment variable name from
# MASTER_IP to ETCD_IP
etcd_name = "MASTER_IP"
if etcd_name not in os.environ.keys():
raise Exception('not find ' + etcd_name +
' in environment variable.')
etcd_ip = os.environ.get(etcd_name)
client = paddle.v2.master.client("http://" + etcd_ip + ":2379", 5, 0)
r = client.request_save_model(trainer_id, 5000)
if r == 0:
# do not need to save
return
elif r < 0:
# error
return
else:
# save model
path = os.path.join(path, trainer_id)
path = os.path.join(path, "model.tar")
mkdir_p(path)
with open(path, 'wb') as f:
parameters.to_tar(f)
def load_model(parameters, path):
with open(path, 'rb') as f:
parameters.from_tar(f)
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