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45 lines
1.3 KiB
45 lines
1.3 KiB
# 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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import paddle
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import paddle.nn.functional as F
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from paddle import nn
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class GLU(nn.Layer):
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"""Gated Linear Units (GLU) Layer"""
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def __init__(self, dim: int=-1):
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super().__init__()
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self.dim = dim
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def forward(self, xs):
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return F.glu(xs, axis=self.dim)
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def get_activation(act, **kwargs):
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"""Return activation function."""
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activation_funcs = {
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"hardtanh": paddle.nn.Hardtanh,
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"tanh": paddle.nn.Tanh,
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"relu": paddle.nn.ReLU,
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"selu": paddle.nn.SELU,
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"leakyrelu": paddle.nn.LeakyReLU,
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"swish": paddle.nn.Swish,
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"glu": GLU,
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"gelu": paddle.nn.GELU,
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}
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return activation_funcs[act](**kwargs)
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