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https://github.com/saymrwulf/pytorch.git
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27c7158166
Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
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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 TestTrigonometricOp(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=None, max_examples=50)
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def test_acos(self, X, gc, dc):
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self.assertTrigonometricChecks("Acos", X, lambda x: (np.arccos(X),), gc, dc)
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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=None, max_examples=50)
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def test_asin(self, X, gc, dc):
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self.assertTrigonometricChecks("Asin", X, lambda x: (np.arcsin(X),), gc, dc)
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@given(
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X=hu.tensor(elements=hu.floats(min_value=-100, max_value=100)),
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**hu.gcs)
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@settings(deadline=None, max_examples=50)
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def test_atan(self, X, gc, dc):
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self.assertTrigonometricChecks("Atan", X, lambda x: (np.arctan(X),), gc, dc)
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@given(
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X=hu.tensor(elements=hu.floats(min_value=-0.5, max_value=0.5)),
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**hu.gcs)
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@settings(deadline=None, max_examples=50)
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def test_tan(self, X, gc, dc):
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self.assertTrigonometricChecks("Tan", X, lambda x: (np.tan(X),), gc, dc)
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def assertTrigonometricChecks(self, op_name, input, reference, gc, dc):
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op = core.CreateOperator(op_name, ["X"], ["Y"])
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self.assertReferenceChecks(gc, op, [input], reference)
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self.assertDeviceChecks(dc, op, [input], [0])
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self.assertGradientChecks(gc, op, [input], 0, [0])
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if __name__ == "__main__":
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unittest.main()
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