pytorch

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from caffe2.python import core
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import caffe2.python.hypothesis_test_util as hu
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from hypothesis import given, settings
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import caffe2.python.serialized_test.serialized_test_util as serial
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import hypothesis.strategies as st
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import numpy as np
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import unittest
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class TestCeil(serial.SerializedTestCase):
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    @given(X=hu.tensor(),
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           engine=st.sampled_from(["", "CUDNN"]),
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           **hu.gcs)
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    @settings(deadline=10000)
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    def test_ceil(self, X, gc, dc, engine):
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        op = core.CreateOperator("Ceil", ["X"], ["Y"], engine=engine)
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        def ceil_ref(X):
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            return (np.ceil(X),)
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        self.assertReferenceChecks(
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            device_option=gc,
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            op=op,
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            inputs=[X],
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            reference=ceil_ref)
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        # Check over multiple devices
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        self.assertDeviceChecks(dc, op, [X], [0])
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if __name__ == "__main__":
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    unittest.main()
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