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42 lines
1.5 KiB
42 lines
1.5 KiB
3 years ago
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# 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 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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