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c01939a9b1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/60003 **Summary** `infer_concrete_type_builder` in `_recursive.py` assumes `__constants__` is a `set` if it exists as an attribute on the module being scripted. Instead, it should create a set out of whatever `__constants__` is. **Test Plan** Ran code from the issue. **Fixes** This commit fixes #59947. Test Plan: Imported from OSS Reviewed By: pbelevich Differential Revision: D29174243 Pulled By: SplitInfinity fbshipit-source-id: aeb8bded80038da35478714b6a697a766ac447f5
32 lines
1006 B
Python
32 lines
1006 B
Python
import torch
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import os
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import sys
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from torch.testing._internal.jit_utils import JitTestCase
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# Make the helper files in test/ importable
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pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
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sys.path.append(pytorch_test_dir)
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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 TestModules(JitTestCase):
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def test_script_module_with_constants_list(self):
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"""
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Test that a module that has __constants__ set to something
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that is not a set can be scripted.
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"""
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# torch.nn.Linear has a __constants__ attribute defined
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# and intialized to a list.
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class Net(torch.nn.Linear):
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x: torch.jit.Final[int]
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def __init__(self):
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super().__init__(5, 10)
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self.x = 0
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self.checkModule(Net(), (torch.randn(5),))
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