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