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43 lines
1.3 KiB
43 lines
1.3 KiB
#copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve. |
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# |
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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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from paddle.nn import L1Loss |
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from paddle.nn import MSELoss as L2Loss |
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from paddle.nn import SmoothL1Loss |
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class DistanceLoss(nn.Layer): |
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""" |
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DistanceLoss: |
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mode: loss mode |
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""" |
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def __init__(self, mode="l2", **kargs): |
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super().__init__() |
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assert mode in ["l1", "l2", "smooth_l1"] |
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if mode == "l1": |
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self.loss_func = nn.L1Loss(**kargs) |
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elif mode == "l2": |
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self.loss_func = nn.MSELoss(**kargs) |
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elif mode == "smooth_l1": |
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self.loss_func = nn.SmoothL1Loss(**kargs) |
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self.mode = mode |
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def forward(self, x, y): |
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loss = self.loss_func(x, y) |
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return {"loss_{}".format(self.mode): loss}
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