59 lines
1.4 KiB
59 lines
1.4 KiB
import unittest
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import numpy as np
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from op_test import OpTest
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class TestClipOp(OpTest):
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def setUp(self):
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self.max_relative_error = 0.006
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self.initTestCase()
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input = np.random.random(self.shape).astype("float32")
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input[np.abs(input - self.min) < self.max_relative_error] = 0.5
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input[np.abs(input - self.max) < self.max_relative_error] = 0.5
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self.op_type = "clip"
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self.inputs = {'X': input, }
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self.attrs = {}
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self.attrs['min'] = self.min
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self.attrs['max'] = self.max
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self.outputs = {
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'Out': np.clip(self.inputs['X'], self.attrs['min'],
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self.attrs['max'])
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}
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def test_check_output(self):
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self.check_output()
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def test_check_grad_normal(self):
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self.check_grad(
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['X'], 'Out', max_relative_error=self.max_relative_error)
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def initTestCase(self):
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self.shape = (4, 4)
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self.max = 0.7
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self.min = 0.1
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class TestCase1(TestClipOp):
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def initTestCase(self):
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self.shape = (8, 16, 8)
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self.max = 0.7
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self.min = 0.0
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class TestCase2(TestClipOp):
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def initTestCase(self):
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self.shape = (8, 16)
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self.max = 1.0
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self.min = 0.0
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class TestCase3(TestClipOp):
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def initTestCase(self):
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self.shape = (4, 8, 16)
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self.max = 0.7
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self.min = 0.2
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if __name__ == '__main__':
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unittest.main()
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