#   Copyright (c) 2021 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 paddle import nn

__all__ = []


class MetaParallelBase(nn.Layer):
    def __init__(self, layers, hcg, strategy):
        super().__init__(layers.full_name() + "_meta_parallel_base")
        self._layers = layers
        self._hcg = hcg
        self._strategy = strategy
        self._prepare_for_model()

    def _prepare_for_model(self):
        pass

    def _pre_forward(self, *inputs, **kwargs):
        pass

    def forward(self, *inputs, **kwargs):
        self._pre_forward(*inputs, **kwargs)

        output = self._layers(*inputs, **kwargs)

        self._post_forward(output)

        return output

    def _post_forward(self, output):
        pass