76 lines
2.7 KiB
76 lines
2.7 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 print_function
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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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class TestLabelSmoothOp(OpTest):
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def config(self):
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self.op_type = "label_smooth"
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self.epsilon = 0.1
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batch_size, self.label_dim = 10, 12
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self.label = np.zeros((batch_size, self.label_dim)).astype("float64")
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nonzero_index = np.random.randint(self.label_dim, size=(batch_size))
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self.label[np.arange(batch_size), nonzero_index] = 1
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def setUp(self):
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self.config()
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smoothed_label = (1 - self.epsilon
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) * self.label + self.epsilon / self.label_dim
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self.inputs = {'X': self.label}
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self.attrs = {'epsilon': self.epsilon}
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self.outputs = {'Out': smoothed_label}
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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(["X"], "Out")
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class TestLabelSmoothOpWithPriorDist(TestLabelSmoothOp):
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def setUp(self):
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self.config()
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dist = np.random.random((1, self.label_dim))
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smoothed_label = (1 - self.epsilon) * self.label + self.epsilon * dist
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self.inputs = {'X': self.label, 'PriorDist': dist}
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self.attrs = {'epsilon': self.epsilon}
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self.outputs = {'Out': smoothed_label}
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class TestLabelSmoothOp3D(TestLabelSmoothOp):
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def setUp(self):
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super(TestLabelSmoothOp3D, self).setUp()
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self.inputs['X'] = self.inputs['X'].reshape(
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[2, -1, self.inputs['X'].shape[-1]])
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self.outputs['Out'] = self.outputs['Out'].reshape(self.inputs['X']
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.shape)
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class TestLabelSmoothOpWithPriorDist3D(TestLabelSmoothOpWithPriorDist):
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def setUp(self):
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super(TestLabelSmoothOpWithPriorDist3D, self).setUp()
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self.inputs['X'] = self.inputs['X'].reshape(
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[2, -1, self.inputs['X'].shape[-1]])
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self.outputs['Out'] = self.outputs['Out'].reshape(self.inputs['X']
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.shape)
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if __name__ == '__main__':
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unittest.main()
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