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Summary:
I noticed after creating https://github.com/pytorch/pytorch/issues/71553 that the test ownership lint was not working properly.
This fixes my egregious mistake and fixes the broken lints.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/71554
Reviewed By: malfet
Differential Revision: D33690732
Pulled By: janeyx99
fbshipit-source-id: ba4dfbcd98038e4afd63e326832ae40935d2501e
(cherry picked from commit 1bbc3d343a)
45 lines
1.8 KiB
Python
45 lines
1.8 KiB
Python
# Owner(s): ["oncall: jit"]
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from torch.testing._internal.jit_utils import JitTestCase
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from torch._C import parse_ir
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import torch
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if __name__ == '__main__':
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raise RuntimeError("This test file is not meant to be run directly, use:\n\n"
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"\tpython test/test_jit.py TESTNAME\n\n"
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"instead.")
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class TestAliasAnalysis(JitTestCase):
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def test_becomes_wildcard_annotations(self):
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graph_str = """
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graph(%a.1 : Tensor, %b.1 : Tensor):
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%11 : NoneType = prim::Constant()
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%8 : int = prim::Constant[value=0]()
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%7 : int = prim::Constant[value=1]()
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%x.1 : Tensor = aten::add(%a.1, %b.1, %7)
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%y.1 : Tensor[] = aten::split(%x.1, %7, %8)
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return ()
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"""
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graph = parse_ir(graph_str)
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alias_db = graph.alias_db()
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split_node = graph.findNode("aten::split")
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# split input enters wildcard set, list initalized as containing wildcard set
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self.assertTrue(alias_db.may_contain_alias(next(split_node.inputs()), split_node.output()))
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# because %x.1 enters wildcard set, it now aliases other members of wildcard set (graph inputs)
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self.assertTrue(alias_db.may_contain_alias(next(split_node.inputs()), next(graph.inputs())))
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def test_nested_list_construct_not_wildcard(self):
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@torch.jit.script
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def foo(x):
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y = torch.rand([2, 2])
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return [y]
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graph = foo.graph
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graph.alias_db()
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alias_db = graph.alias_db()
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ten_construct = graph.findNode("aten::rand").output()
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output = next(graph.outputs())
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self.assertTrue(alias_db.may_contain_alias(ten_construct, output))
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self.assertFalse(alias_db.may_contain_alias(next(graph.inputs()), ten_construct))
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