mirror of
https://github.com/zebrajr/pytorch.git
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50770b9e19
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/72206
Test Plan: Imported from OSS
Reviewed By: albanD
Differential Revision: D33955635
Pulled By: anjali411
fbshipit-source-id: 4fbd0c0c4d032bcbd9d9f362b4b6f84eec9ad047
(cherry picked from commit 85076245c9)
65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
# Owner(s): ["module: unknown"]
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import torch
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import copy
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from torch.testing._internal.common_utils import TestCase, run_tests
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class TestPerOverloadAPI(TestCase):
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def test_basics_opoverloadpacket(self):
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# add is ony used as an example here. It is ok to update the test
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# if the semantics of add are modified in the future.
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add_packet = torch.ops.aten.add
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# class attributes
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self.assertEqual(add_packet.op_name, 'add')
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self.assertEqual(add_packet.qualified_op_name, 'aten.add')
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# callable
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self.assertEqual(add_packet(torch.tensor(2), torch.tensor(3)), torch.tensor(5))
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# correct module
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self.assertEqual(add_packet.__module__, add_packet.op.__module__)
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# caching
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another_add_packet = torch.ops.aten.add
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self.assertEqual(id(add_packet), id(another_add_packet))
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# deepcopy is a no-op
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self.assertEqual(id(add_packet), id(copy.deepcopy(add_packet)))
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# pretty print
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self.assertEqual(str(add_packet), "OpOverloadPacket(op='aten.add')")
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self.assertRaises(AttributeError, lambda: add_packet.foo)
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def test_basics_opoverload(self):
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add_packet = torch.ops.aten.add
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add_tensoroverload = add_packet.Tensor
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# class attributes
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self.assertEqual(add_tensoroverload.name, 'aten.add')
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self.assertEqual(add_tensoroverload.overload_name, 'Tensor')
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self.assertEqual(add_tensoroverload.overload_packet, add_packet)
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# deepcopy is a no-op
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self.assertEqual(id(add_tensoroverload), id(copy.deepcopy(add_tensoroverload)))
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# caching
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another_add_tensoroverload = torch.ops.aten.add.Tensor
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self.assertEqual(id(add_tensoroverload), id(another_add_tensoroverload))
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# pretty print
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self.assertEqual(str(add_tensoroverload), "OpOverload(op='aten.add', overload='Tensor')")
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# callable
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self.assertEqual(add_tensoroverload(torch.tensor(2), torch.tensor(3)), torch.tensor(5))
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a = torch.tensor(2)
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b = torch.tensor(0)
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torch.ops.aten.add.out(a, a, out=b)
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self.assertEqual(b, torch.tensor(4))
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self.assertRaises(RuntimeError, lambda: add_tensoroverload(a, a, out=b))
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if __name__ == '__main__':
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run_tests()
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