45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from paddle import nn
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__all__ = []
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class MetaParallelBase(nn.Layer):
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def __init__(self, layers, hcg, strategy):
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super().__init__(layers.full_name() + "_meta_parallel_base")
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self._layers = layers
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self._hcg = hcg
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self._strategy = strategy
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self._prepare_for_model()
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def _prepare_for_model(self):
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pass
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def _pre_forward(self, *inputs, **kwargs):
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pass
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def forward(self, *inputs, **kwargs):
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self._pre_forward(*inputs, **kwargs)
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output = self._layers(*inputs, **kwargs)
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self._post_forward(output)
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return output
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def _post_forward(self, output):
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pass
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