44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
# Copyright (c) 2022 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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#
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# The file has been adapted from the file:
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# https://github.com/laekov/fastmoe/blob/master/fmoe/gates/base_gate.py
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# Git commit hash: 295a615aacce7e54a37e7935274ba15e901c78e4
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# We retain the following license from the original files:
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# Copyright 2021, Jiaao He. All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License").
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from paddle import nn
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class BaseGate(nn.Layer):
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def __init__(self, num_expert, world_size):
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super().__init__()
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self.world_size = world_size
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self.num_expert = num_expert
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self.tot_expert = world_size * num_expert
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self.loss = None
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def forward(self, x):
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raise NotImplementedError("Please implement the forward function.")
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def set_loss(self, loss):
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self.loss = loss
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def get_loss(self, clear=True):
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loss = self.loss
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if clear:
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self.loss = None
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return loss
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