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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/71785 see https://github.com/pytorch/pytorch/pull/67254 ghstack-source-id: 147648699 Test Plan: github CI Reviewed By: albanD Differential Revision: D33777229 fbshipit-source-id: 517b36be9743025eb40d708d380dae62e3663184 (cherry picked from commit a637e695694d3fd615dbe821394bfe53d41b6901)
68 lines
2.4 KiB
Python
68 lines
2.4 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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def do_nothing(self):
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return
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if __name__ == '__main__':
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run_tests()
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