test_reduce_op.py 2.5 KB
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import unittest
import numpy as np
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from op_test import OpTest
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class TestSumOp(OpTest):
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    def setUp(self):
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        self.op_type = "reduce_sum"
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        self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")}
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        self.outputs = {'Out': self.inputs['X'].sum(axis=0)}
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    def test_check_output(self):
        self.check_output()
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    def test_check_grad(self):
        self.check_grad(['X'], 'Out')
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class TestMeanOp(OpTest):
    def setUp(self):
        self.op_type = "reduce_mean"
        self.inputs = {'X': np.random.random((5, 6, 2, 10)).astype("float32")}
        self.attrs = {'dim': 1}
        self.outputs = {'Out': self.inputs['X'].mean(axis=self.attrs['dim'])}
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    def test_check_output(self):
        self.check_output()
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    def test_check_grad(self):
        self.check_grad(['X'], 'Out')
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class TestMaxOp(OpTest):
    """Remove Max with subgradient from gradient check to confirm the success of CI."""
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    def setUp(self):
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        self.op_type = "reduce_max"
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        self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")}
        self.attrs = {'dim': -1}
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        self.outputs = {'Out': self.inputs['X'].max(axis=self.attrs['dim'])}

    def test_check_output(self):
        self.check_output()
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class TestMinOp(OpTest):
    """Remove Min with subgradient from gradient check to confirm the success of CI."""
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    def setUp(self):
        self.op_type = "reduce_min"
        self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")}
        self.attrs = {'dim': 2}
        self.outputs = {'Out': self.inputs['X'].min(axis=self.attrs['dim'])}
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    def test_check_output(self):
        self.check_output()
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class TestKeepDimReduce(OpTest):
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    def setUp(self):
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        self.op_type = "reduce_sum"
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        self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")}
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        self.attrs = {'dim': -2, 'keep_dim': True}
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        self.outputs = {
            'Out': self.inputs['X'].sum(axis=self.attrs['dim'], keepdims=True)
        }

    def test_check_output(self):
        self.check_output()
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    def test_check_grad(self):
        self.check_grad(['X'], 'Out')
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class Test1DReduce(OpTest):
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    def setUp(self):
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        self.op_type = "reduce_sum"
        self.inputs = {'X': np.random.random(20).astype("float32")}
        self.outputs = {'Out': self.inputs['X'].sum(axis=0)}

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
        self.check_grad(['X'], 'Out')
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if __name__ == '__main__':
    unittest.main()