Don't segfault on Tensor.__delitem__#12726
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The mapping protocol stipulates that when __delitem__ is called, this is passed to "__setitem__" (well, the same function in the C extension interface) with NULL data. https://docs.python.org/3/c-api/typeobj.html#c.PyMappingMethods.mp_ass_subscript PyTorch master crashes in this situation, with the patch, it does not anymore.
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Summary: The mapping protocol stipulates that when `__delitem__` is called, this is passed to `__setitem__` [(well, the same function in the C extension interface)](https://docs.python.org/3/c-api/typeobj.html#c.PyMappingMethods.mp_ass_subscript) with NULL data. PyTorch master crashes in this situation, with this patch, it does not anymore. Test code (careful, sefaults your interpreter): ```python import torch a = torch.randn(5) del a[2] ``` Pull Request resolved: pytorch#12726 Differential Revision: D10414244 Pulled By: colesbury fbshipit-source-id: c49716e1a0a3d9a117ce88fc394858f1df36ed79
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The mapping protocol stipulates that when
__delitem__is called, this is passed to__setitem__(well, the same function in the C extension interface) with NULL data.PyTorch master crashes in this situation, with this patch, it does not anymore.
Test code (careful, sefaults your interpreter):