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69 lines
2.0 KiB
69 lines
2.0 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 TestDropoutOp(OpTest):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64)).astype("float32")}
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self.attrs = {'dropout_prob': 0.0, 'is_test': False}
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self.outputs = {
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'Out': self.inputs['X'],
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'Mask': np.ones((32, 64)).astype('float32')
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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(['X'], 'Out', max_relative_error=0.05)
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class TestDropoutOp2(TestDropoutOp):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64)).astype("float32")}
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self.attrs = {'dropout_prob': 1.0, 'is_test': False}
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self.outputs = {
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'Out': np.zeros((32, 64)).astype('float32'),
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'Mask': np.zeros((32, 64)).astype('float32')
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}
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class TestDropoutOp3(TestDropoutOp):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64, 2)).astype("float32")}
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self.attrs = {'dropout_prob': 0.0, 'is_test': False}
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self.outputs = {
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'Out': self.inputs['X'],
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'Mask': np.ones((32, 64, 2)).astype('float32')
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}
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class TestDropoutOp4(OpTest):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64)).astype("float32")}
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self.attrs = {'dropout_prob': 0.35, 'is_test': True}
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self.outputs = {'Out': self.inputs['X'] * self.attrs['dropout_prob']}
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def test_check_output(self):
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self.check_output()
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class TestDropoutOp5(OpTest):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64, 3)).astype("float32")}
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self.attrs = {'dropout_prob': 0.75, 'is_test': True}
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self.outputs = {'Out': self.inputs['X'] * self.attrs['dropout_prob']}
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def test_check_output(self):
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self.check_output()
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if __name__ == '__main__':
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unittest.main()
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