# 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.

from __future__ import print_function

import warnings

import paddle.fluid as fluid
from paddlerec.core.utils import envs

__all__ = [
    "InstanceBase", "SingleInstance", "PSInstance", "PslibInstance",
    "CollectiveInstance"
]


class InstanceBase(object):
    """R
    """

    def __init__(self, context):
        pass

    def instance(self, context):
        pass


class SingleInstance(InstanceBase):
    def __init__(self, context):
        print("Running SingleInstance.")
        pass

    def instance(self, context):
        context['status'] = 'network_pass'


class PSInstance(InstanceBase):
    def __init__(self, context):
        print("Running PSInstance.")
        pass

    def instance(self, context):
        from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler import fleet
        from paddle.fluid.incubate.fleet.base.role_maker import PaddleCloudRoleMaker
        role = PaddleCloudRoleMaker()
        fleet.init(role)
        context['fleet'] = fleet
        context['status'] = 'network_pass'


class PslibInstance(InstanceBase):
    def __init__(self, context):
        print("Running PslibInstance.")
        pass

    def instance(self, context):
        from paddle.fluid.incubate.fleet.parameter_server.pslib import fleet
        fleet.init()
        context['fleet'] = fleet
        context['status'] = 'network_pass'


class CollectiveInstance(InstanceBase):
    def __init__(self, context):
        print("Running CollectiveInstance.")
        pass

    def instance(self, context):
        from paddle.fluid.incubate.fleet.collective import fleet
        from paddle.fluid.incubate.fleet.base.role_maker import PaddleCloudRoleMaker
        role = PaddleCloudRoleMaker(is_collective=True)
        fleet.init(role)
        context['fleet'] = fleet
        context['status'] = 'network_pass'