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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/20608 Exposing QScheme in python as Python objects like `torch.qscheme.per_tensor_affine` etc. Reviewed By: zafartahirov Differential Revision: D15364354 fbshipit-source-id: 4d6a96d67e9ead051cf4a8f934553a8c7232fdb7
49 lines
1.7 KiB
C++
49 lines
1.7 KiB
C++
#include <torch/csrc/utils/tensor_qschemes.h>
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#include <torch/csrc/DynamicTypes.h>
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#include <torch/csrc/Exceptions.h>
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#include <torch/csrc/QScheme.h>
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#include <c10/core/QScheme.h>
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#include <torch/csrc/python_headers.h>
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#include <torch/csrc/utils/object_ptr.h>
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namespace torch {
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namespace utils {
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static PyObject* thp_qscheme_array[at::COMPILE_TIME_NUM_QSCHEMES];
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#define _ADD_QSCHEME(qscheme, name) \
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{ \
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std::string module_name = "torch."; \
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PyObject* qscheme_obj = THPQScheme_New(qscheme, module_name + name); \
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thp_qscheme_array[static_cast<int>(qscheme)] = qscheme_obj; \
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Py_INCREF(qscheme_obj); \
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if (PyModule_AddObject(torch_module, name, qscheme_obj) != 0) { \
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throw python_error(); \
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} \
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}
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void initializeQSchemes() {
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auto torch_module = THPObjectPtr(PyImport_ImportModule("torch"));
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if (!torch_module) {
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throw python_error();
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}
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_ADD_QSCHEME(at::kPerTensorAffine, "per_tensor_affine");
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_ADD_QSCHEME(at::kPerChannelAffine, "per_channel_affine");
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_ADD_QSCHEME(at::kPerTensorSymmetric, "per_tensor_symmetric");
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_ADD_QSCHEME(at::kPerChannelSymmetric, "per_channel_symmetric");
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}
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PyObject* getTHPQScheme(at::QScheme qscheme) {
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auto qscheme_ = thp_qscheme_array[static_cast<int>(qscheme)];
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if (!qscheme_) {
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throw std::invalid_argument("unsupported QScheme");
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}
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return qscheme_;
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}
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} // namespace utils
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} // namespace torch
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