mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
1b4951d3a5
Summary:
Follow-up to gh-25483, more of the same fixes for warnings like:
```
../torch/csrc/autograd/python_variable.cpp:503:31: warning: cast between incompatible function types from ‘PyObject* (*)(THPVariable*)’ {aka ‘_object* (*)(THPVariable*)’} to ‘getter’ {aka ‘_object* (*)(_object*, void*)’} [-Wcast-function-type]
503 | {"_backward_hooks", (getter)THPVariable_get_backwards_hooks, (setter)THPVariable_set_backwards_hooks, nullptr, nullptr},
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
This takes the build log output for a full rebuild with GCC 9.1 from ~10,000 to ~7,000 lines.
`clang-tidy` is going to complain, no way around that - see discussion at the end of gh-25483.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26104
Differential Revision: D17396831
Pulled By: ezyang
fbshipit-source-id: d71696bfe4dbe25519e4bcb7753151c118bd39f7
91 lines
3.7 KiB
C++
91 lines
3.7 KiB
C++
#include <torch/csrc/QScheme.h>
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#include <torch/csrc/Exceptions.h>
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#include <torch/csrc/utils/object_ptr.h>
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#include <torch/csrc/utils/python_strings.h>
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#include <c10/core/QScheme.h>
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#include <structmember.h>
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#include <cstring>
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#include <string>
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PyObject *THPQScheme_New(at::QScheme qscheme, const std::string& name)
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{
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auto type = (PyTypeObject*)&THPQSchemeType;
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auto self = THPObjectPtr{type->tp_alloc(type, 0)};
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if (!self) throw python_error();
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auto self_ = reinterpret_cast<THPQScheme*>(self.get());
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self_->qscheme = qscheme;
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std::strncpy (self_->name, name.c_str(), QSCHEME_NAME_LEN);
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self_->name[QSCHEME_NAME_LEN] = '\0';
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return self.release();
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}
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PyObject *THPQScheme_reduce(THPQScheme *self, PyObject *noargs) {
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return THPUtils_packString(self->name);
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}
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static PyMethodDef THPQScheme_methods[] = {
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{"__reduce__", (PyCFunction)THPQScheme_reduce, METH_NOARGS, nullptr},
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{nullptr} /* Sentinel */
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};
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PyObject *THPQScheme_repr(THPQScheme *self)
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{
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std::string name = self->name;
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return THPUtils_packString("torch." + name);
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}
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PyTypeObject THPQSchemeType = {
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PyVarObject_HEAD_INIT(nullptr, 0)
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"torch.qscheme", /* tp_name */
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sizeof(THPQScheme), /* tp_basicsize */
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0, /* tp_itemsize */
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nullptr, /* tp_dealloc */
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nullptr, /* tp_print */
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nullptr, /* tp_getattr */
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nullptr, /* tp_setattr */
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nullptr, /* tp_reserved */
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(reprfunc)THPQScheme_repr, /* tp_repr */
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nullptr, /* tp_as_number */
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nullptr, /* tp_as_sequence */
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nullptr, /* tp_as_mapping */
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nullptr, /* tp_hash */
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nullptr, /* tp_call */
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nullptr, /* tp_str */
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nullptr, /* tp_getattro */
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nullptr, /* tp_setattro */
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nullptr, /* tp_as_buffer */
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Py_TPFLAGS_DEFAULT, /* tp_flags */
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nullptr, /* tp_doc */
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nullptr, /* tp_traverse */
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nullptr, /* tp_clear */
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nullptr, /* tp_richcompare */
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0, /* tp_weaklistoffset */
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nullptr, /* tp_iter */
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nullptr, /* tp_iternext */
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THPQScheme_methods, /* tp_methods */
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nullptr, /* tp_members */
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nullptr, /* tp_getset */
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nullptr, /* tp_base */
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nullptr, /* tp_dict */
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nullptr, /* tp_descr_get */
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nullptr, /* tp_descr_set */
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0, /* tp_dictoffset */
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nullptr, /* tp_init */
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nullptr, /* tp_alloc */
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nullptr, /* tp_new */
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};
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void THPQScheme_init(PyObject *module)
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{
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if (PyType_Ready(&THPQSchemeType) < 0) {
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throw python_error();
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}
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Py_INCREF(&THPQSchemeType);
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if (PyModule_AddObject(module, "qscheme", (PyObject *)&THPQSchemeType) != 0) {
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throw python_error();
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}
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}
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