|
|
|
|
# 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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class GLU(nn.Layer):
|
|
|
|
|
"""Gated Linear Units (GLU) Layer"""
|
|
|
|
|
|
|
|
|
|
def __init__(self, dim: int=-1):
|
|
|
|
|
super().__init__()
|
|
|
|
|
self.dim = dim
|
|
|
|
|
|
|
|
|
|
def forward(self, xs):
|
|
|
|
|
return F.glu(xs, axis=self.dim)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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)
|
