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add TypeError to c10 and fix segfault in error checking in Tensor constructor (#40106)
Summary: As per title. Pull Request resolved: https://github.com/pytorch/pytorch/pull/40106 Differential Revision: D22137193 Pulled By: albanD fbshipit-source-id: 11d059263c00a834211f016bd9a9e18fdc0437ef
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@ -154,7 +154,7 @@ static PyObject* THPVariable_as_subclass(THPVariable* self, PyObject* args, PyOb
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auto r = parser.parse(args, kwargs, parsed_args);
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PyObject* cls = r.pyobject(0);
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if (!PyType_Check(cls)) {
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throw TypeError("cls must be a type (got %s)", Py_TYPE(cls)->tp_name);
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throw torch::TypeError("cls must be a type (got %s)", Py_TYPE(cls)->tp_name);
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}
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return THPVariable_NewWithVar((PyTypeObject*)cls, self->cdata.alias());
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END_HANDLE_TH_ERRORS
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@ -169,7 +169,7 @@ static PyObject* THPVariable_make_subclass(PyObject* _ignored, PyObject* args, P
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auto r = parser.parse(args, kwargs, parsed_args);
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PyObject* cls = r.pyobject(0);
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if (!PyType_Check(cls)) {
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throw TypeError("cls must be a type (got %s)", Py_TYPE(cls)->tp_name);
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throw torch::TypeError("cls must be a type (got %s)", Py_TYPE(cls)->tp_name);
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}
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auto data = r.tensor(1).detach();
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// We set `data`'s `allow_tensor_metadata_change` to true here, because we want to
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