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