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https://github.com/saymrwulf/pytorch.git
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1a09a2a27f
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16106 Differential Revision: D13709490 Pulled By: bddppq fbshipit-source-id: 1b5b32261f06543371f7bd7ac9b11957a5eb4ad0
30 lines
901 B
Python
30 lines
901 B
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import math
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from caffe2.python import core
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from hypothesis import given
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from hypothesis import strategies as st
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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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@serial.given(
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X=hu.tensor(elements=st.floats(min_value=-0.7, max_value=0.7)),
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**hu.gcs)
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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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