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44 lines
1.3 KiB
44 lines
1.3 KiB
3 years ago
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#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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