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- # 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 __future__ import absolute_import
- from __future__ import division
- from __future__ import print_function
- import paddle
- import paddle.nn as nn
- class FC(nn.Layer):
- def __init__(self, embedding_size, class_num):
- super(FC, self).__init__()
- self.embedding_size = embedding_size
- self.class_num = class_num
- weight_attr = paddle.ParamAttr(
- initializer=paddle.nn.initializer.XavierNormal())
- self.fc = paddle.nn.Linear(
- self.embedding_size, self.class_num, weight_attr=weight_attr)
- def forward(self, input, label=None):
- out = self.fc(input)
- return out
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