Remove unused model.py

python/paddle/v2/__init__.py

@@ -33,7 +33,6 @@ import networks
 import minibatch
 import plot
 import image
-import model
 import paddle.trainer.config_parser as cp
 
 __all__ = [
@@ -56,7 +55,6 @@ __all__ = [
     'evaluator',
     'image',
     'master',
-    'model',
 ]
 
 cp.begin_parse()

python/paddle/v2/model.py

-# 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)