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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
70 lines
1.8 KiB
Python
70 lines
1.8 KiB
Python
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from caffe2.python.models.seq2seq import seq2seq_model_helper
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from caffe2.python import scope, test_util
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class Seq2SeqModelHelperTest(test_util.TestCase):
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def testConstuctor(self):
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model_name = 'TestModel'
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m = seq2seq_model_helper.Seq2SeqModelHelper(name=model_name)
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self.assertEqual(m.name, model_name)
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self.assertEqual(m.init_params, True)
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self.assertEqual(m.arg_scope, {
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'use_cudnn': True,
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'cudnn_exhaustive_search': False,
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'order': 'NHWC'
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})
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def testAddParam(self):
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m = seq2seq_model_helper.Seq2SeqModelHelper()
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param_name = 'test_param'
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param = m.AddParam(param_name, init_value=1)
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self.assertEqual(str(param), param_name)
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def testGetNonTrainableParams(self):
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m = seq2seq_model_helper.Seq2SeqModelHelper()
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m.AddParam('test_param1', init_value=1, trainable=True)
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p2 = m.AddParam('test_param2', init_value=2, trainable=False)
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self.assertEqual(
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m.GetNonTrainableParams(),
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[p2]
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)
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with scope.NameScope('A', reset=True):
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p3 = m.AddParam('test_param3', init_value=3, trainable=False)
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self.assertEqual(
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m.GetNonTrainableParams(),
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[p3]
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)
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self.assertEqual(
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m.GetNonTrainableParams(),
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[p2, p3]
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)
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def testGetAllParams(self):
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m = seq2seq_model_helper.Seq2SeqModelHelper()
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p1 = m.AddParam('test_param1', init_value=1, trainable=True)
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p2 = m.AddParam('test_param2', init_value=2, trainable=False)
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self.assertEqual(
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m.GetAllParams(),
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[p1, p2]
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)
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if __name__ == "__main__":
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import unittest
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import random
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random.seed(2221)
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unittest.main()
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