提交 b8d01457 编写于 作者: T tangwei

structure rebuild

上级 fd92c826
# Copyright (c) 2020 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 abc
import copy
import yaml
import paddle.fluid as fluid
from ..utils import table as table
from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
class Layer(object):
"""R
"""
__metaclass__ = abc.ABCMeta
def __init__(self, config):
"""R
"""
pass
def generate(self, mode, param):
"""R
"""
if mode == 'fluid':
return self.generate_fluid(param)
elif mode == 'tensorflow':
return self.generate_tensorflow(param)
print('unsupport this mode: ' + mode)
return None, None
@abc.abstractmethod
def generate_fluid(self, param):
"""R
"""
pass
def generate_tensorflow(self, param):
""" Not implement currently
"""
pass
import abc
class Model(object):
"""R
"""
__metaclass__ = abc.ABCMeta
def __init__(self, config):
"""R
"""
self._cost = None
self._metrics = {}
self._data_var = []
self._fetch_interval = 20
def get_inputs(self):
return self._data_var
def get_cost_op(self):
"""R
"""
return self._cost
def get_metrics(self):
"""R
"""
return self._metrics
def get_fetch_period(self):
return self._fetch_interval
@abc.abstractmethod
def train_net(self):
"""R
"""
pass
def infer_net(self):
pass
# Copyright (c) 2020 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 abc
import copy
import yaml
import paddle.fluid as fluid
from ..utils import table as table
from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
class Layer(object):
"""R
"""
__metaclass__ = abc.ABCMeta
def __init__(self, config):
"""R
"""
pass
def generate(self, mode, param):
"""R
"""
if mode == 'fluid':
return self.generate_fluid(param)
elif mode == 'tensorflow':
return self.generate_tensorflow(param)
print('unsupport this mode: ' + mode)
return None, None
@abc.abstractmethod
def generate_fluid(self, param):
"""R
"""
pass
def generate_tensorflow(self, param):
""" Not implement currently
"""
pass
def create(config): def create(config):
""" """
...@@ -67,45 +14,6 @@ def create(config): ...@@ -67,45 +14,6 @@ def create(config):
return model return model
class ModelBase(object):
"""R
"""
__metaclass__ = abc.ABCMeta
def __init__(self, config):
"""R
"""
self._cost = None
self._metrics = {}
self._data_var = []
self._fetch_interval = 20
def get_inputs(self):
return self._data_var
def get_cost_op(self):
"""R
"""
return self._cost
def get_metrics(self):
"""R
"""
return self._metrics
def get_fetch_period(self):
return self._fetch_interval
@abc.abstractmethod
def train_net(self):
"""R
"""
pass
def infer_net(self):
pass
class YamlModel(ModelBase): class YamlModel(ModelBase):
"""R """R
""" """
......
# Copyright (c) 2020 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.
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