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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
16 lines
487 B
Python
16 lines
487 B
Python
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from caffe2.python.normalizer_context import UseNormalizer, NormalizerContext
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from caffe2.python.normalizer import BatchNormalizer
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from caffe2.python.layer_test_util import LayersTestCase
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class TestNormalizerContext(LayersTestCase):
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def test_normalizer_context(self):
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bn = BatchNormalizer(momentum=0.1)
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with UseNormalizer({'BATCH': bn}):
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normalizer = NormalizerContext.current().get_normalizer('BATCH')
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self.assertEquals(bn, normalizer)
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