megengine.module.dropout 源代码

# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
from ..functional import dropout
from .module import Module


[文档]class Dropout(Module): r""" Randomly sets input elements to zeros with the probability :math:`drop\_prob` during training. Commonly used in large networks to prevent overfitting. Note that we perform dropout only during training, we also rescale(multiply) the output tensor by :math:`\frac{1}{1 - drop\_prob}`. During inference :class:`~.Dropout` is equal to :class:`~.Identity`. :param drop_prob: The probability to drop (set to zero) each single element """ def __init__(self, drop_prob=0.0): super().__init__() self.drop_prob = drop_prob
[文档] def forward(self, inputs): if self.training: return dropout(inputs, self.drop_prob, training=True) else: return inputs
def _module_info_string(self) -> str: return "drop_prob={drop_prob}".format(drop_prob=self.drop_prob)