pytorch/torch/csrc/utils/tensor_qschemes.cpp
Amir Khojaste 748790588c Upgrading the loop to use irange (#70326)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/70326

See D24145988 for context: it allows loops such as for(int i=0;i<10;i++) to be expressed as for(const auto i : c10::irange(10)). This is nice because it auto-types the loops and adds const-safety to the iteration variable.

Test Plan: buck run //caffe2/torch/fb/sparsenn:test

Reviewed By: r-barnes

Differential Revision: D33243400

fbshipit-source-id: b1f1b4163f4bf662031baea9e5268459b40c69a3
2022-01-06 07:06:53 -08:00

47 lines
1.3 KiB
C++

#include <torch/csrc/utils/tensor_qschemes.h>
#include <torch/csrc/DynamicTypes.h>
#include <torch/csrc/Exceptions.h>
#include <torch/csrc/QScheme.h>
#include <c10/core/QScheme.h>
#include <c10/util/irange.h>
#include <torch/csrc/python_headers.h>
#include <torch/csrc/utils/object_ptr.h>
namespace torch {
namespace utils {
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables,cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays)
static PyObject* thp_qscheme_array[at::COMPILE_TIME_NUM_QSCHEMES];
void initializeQSchemes() {
auto torch_module = THPObjectPtr(PyImport_ImportModule("torch"));
if (!torch_module) {
throw python_error();
}
for (const auto i : c10::irange(at::COMPILE_TIME_NUM_QSCHEMES)) {
auto qscheme = static_cast<at::QScheme>(i);
PyObject* qscheme_obj = THPQScheme_New(qscheme, toString(qscheme));
thp_qscheme_array[static_cast<int>(qscheme)] = qscheme_obj;
Py_INCREF(qscheme_obj);
if (PyModule_AddObject(
torch_module, toString(qscheme).c_str(), qscheme_obj) != 0) {
throw python_error();
}
}
}
PyObject* getTHPQScheme(at::QScheme qscheme) {
auto qscheme_ = thp_qscheme_array[static_cast<int>(qscheme)];
if (!qscheme_) {
throw std::invalid_argument("unsupported QScheme");
}
return qscheme_;
}
} // namespace utils
} // namespace torch