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8e6d1738a4
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/67254 Fixes https://github.com/pytorch/pytorch/issues/65997 TODO: disallow `default` as an overload name for aten operators. BC breaking: `output = torch.ops._test.leaky_relu(self=torch.tensor(-1.0))` now fails with the error `TypeError: __call__() got multiple values for argument 'self'` since we call into `OpOverloadBundle`'s `__call__` method that has `self` bound to it as its first argument. cc ezyang gchanan Test Plan: Imported from OSS Reviewed By: albanD Differential Revision: D33262228 Pulled By: anjali411 fbshipit-source-id: 600dbf511514ea9b41aea3e6b1bc1102dab08909
64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
import torch
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from torch.testing._internal.common_utils import TestCase, run_tests
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import copy
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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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