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- # 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 as nn
- import paddle.nn.functional as F
- class GoogLeNetLoss(nn.Layer):
- """
- Cross entropy loss used after googlenet
- """
- def __init__(self, epsilon=None):
- super().__init__()
- assert (epsilon is None or epsilon <= 0 or
- epsilon >= 1), "googlenet is not support label_smooth"
- def forward(self, inputs, label):
- input0, input1, input2 = inputs
- if isinstance(input0, dict):
- input0 = input0["logits"]
- if isinstance(input1, dict):
- input1 = input1["logits"]
- if isinstance(input2, dict):
- input2 = input2["logits"]
- loss0 = F.cross_entropy(input0, label=label, soft_label=False)
- loss1 = F.cross_entropy(input1, label=label, soft_label=False)
- loss2 = F.cross_entropy(input2, label=label, soft_label=False)
- loss = loss0 + 0.3 * loss1 + 0.3 * loss2
- loss = loss.mean()
- return {"GooleNetLoss": loss}
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