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import math
from caffe2.python import core
from hypothesis import given, settings
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import numpy as np
import unittest
class TestErfOp(serial.SerializedTestCase):
@given(
X=hu.tensor(elements=hu.floats(min_value=-0.7, max_value=0.7)),
**hu.gcs)
@settings(deadline=10000)
def test_erf(self, X, gc, dc):
op = core.CreateOperator('Erf', ["X"], ["Y"])
self.assertReferenceChecks(gc, op, [X], lambda x: (np.vectorize(math.erf)(X),))
self.assertDeviceChecks(dc, op, [X], [0])
self.assertGradientChecks(gc, op, [X], 0, [0])
if __name__ == "__main__":
unittest.main()
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