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db5e5781ad
Summary: Per title Test Plan: Fixes existing tests Reviewed By: robieta Differential Revision: D28690296 fbshipit-source-id: d7b5b5065517373b75d501872814c89b24ec8cfc
30 lines
749 B
Python
30 lines
749 B
Python
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import math
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from caffe2.python import core
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from hypothesis import given, settings
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.serialized_test.serialized_test_util as serial
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import numpy as np
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import unittest
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class TestErfOp(serial.SerializedTestCase):
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@given(
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X=hu.tensor(elements=hu.floats(min_value=-0.7, max_value=0.7)),
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**hu.gcs)
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@settings(deadline=10000)
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def test_erf(self, X, gc, dc):
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op = core.CreateOperator('Erf', ["X"], ["Y"])
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self.assertReferenceChecks(gc, op, [X], lambda x: (np.vectorize(math.erf)(X),))
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self.assertDeviceChecks(dc, op, [X], [0])
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self.assertGradientChecks(gc, op, [X], 0, [0])
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if __name__ == "__main__":
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unittest.main()
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