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84 lines
2.3 KiB
84 lines
2.3 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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from __future__ import division
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import unittest
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import numpy as np
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from op_test import OpTest
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def kldiv_loss(x, target, reduction):
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output = target * (np.log(target) - x)
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loss = np.where(target > 0, output, np.zeros_like(x))
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if reduction == "batchmean":
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return loss.sum() / x.shape[0]
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if reduction == "mean":
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return loss.mean()
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if reduction == "sum":
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return loss.sum()
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return loss
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class TestKLDivLossOp(OpTest):
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def setUp(self):
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self.initTestCase()
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self.op_type = 'kldiv_loss'
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x = np.random.uniform(-10, 10, self.x_shape).astype('float32')
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target = np.random.uniform(-10, 10, self.x_shape).astype('float32')
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self.attrs = {"reduction": self.reduction}
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self.inputs = {
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'X': x,
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'Target': target,
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}
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loss = kldiv_loss(x, target, self.reduction)
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self.outputs = {'Loss': loss.astype('float32')}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(
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['X'], 'Loss', no_grad_set=set(["Target"]), max_relative_error=0.06)
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def initTestCase(self):
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self.x_shape = (3, 7, 7)
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self.reduction = 'none'
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class TestKLDivLossOp2(TestKLDivLossOp):
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def initTestCase(self):
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self.x_shape = (2, 3, 5, 5)
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self.reduction = 'batchmean'
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class TestKLDivLossOp3(TestKLDivLossOp):
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def initTestCase(self):
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self.x_shape = (2, 3, 5, 7, 9)
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self.reduction = 'mean'
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class TestKLDivLossOp4(TestKLDivLossOp):
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def initTestCase(self):
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self.x_shape = (5, 7)
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self.reduction = 'sum'
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if __name__ == "__main__":
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unittest.main()
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