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https://github.com/zebrajr/pytorch.git
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748bac8757
Applies some more harmless pyupgrades. This one gets rid of deprecated aliases in unit_tests and more upgrades yield for loops into yield from generators which are more performance and propagates more information / exceptions from original generator. This is the modern recommended way of forwarding generators. Pull Request resolved: https://github.com/pytorch/pytorch/pull/94309 Approved by: https://github.com/albanD
16 lines
486 B
Python
16 lines
486 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.assertEqual(bn, normalizer)
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