pytorch/torch/csrc/utils/tensor_layouts.cpp
Alban Desmaison 49b10c58a3 Revert D20896697: [pytorch][PR] QuantizedCUDA implementation
Test Plan: revert-hammer

Differential Revision:
D20896697

Original commit changeset: 163554efa23d

fbshipit-source-id: e3e370ef7c8be68ea34368dfcc7a7efc9d1f8761
2020-04-19 12:41:51 -07:00

45 lines
1.8 KiB
C++

#include <torch/csrc/utils/tensor_layouts.h>
#include <ATen/Layout.h>
#include <c10/core/ScalarType.h>
#include <torch/csrc/DynamicTypes.h>
#include <torch/csrc/Exceptions.h>
#include <torch/csrc/Layout.h>
#include <torch/csrc/python_headers.h>
#include <torch/csrc/utils/object_ptr.h>
namespace torch { namespace utils {
void initializeLayouts() {
auto torch_module = THPObjectPtr(PyImport_ImportModule("torch"));
if (!torch_module) throw python_error();
PyObject *strided_layout = THPLayout_New(at::Layout::Strided, "torch.strided");
Py_INCREF(strided_layout);
if (PyModule_AddObject(torch_module, "strided", strided_layout) != 0) {
throw python_error();
}
// for now, let's look these up by Backend; we could create our own enum in the future.
registerLayoutObject((THPLayout*)strided_layout, at::Backend::CPU);
registerLayoutObject((THPLayout*)strided_layout, at::Backend::CUDA);
registerLayoutObject((THPLayout*)strided_layout, at::Backend::MSNPU);
registerLayoutObject((THPLayout*)strided_layout, at::Backend::XLA);
registerLayoutObject((THPLayout*)strided_layout, at::Backend::QuantizedCPU);
PyObject *sparse_coo_layout = THPLayout_New(at::Layout::Sparse, "torch.sparse_coo");
Py_INCREF(sparse_coo_layout);
if (PyModule_AddObject(torch_module, "sparse_coo", sparse_coo_layout) != 0) {
throw python_error();
}
registerLayoutObject((THPLayout*)sparse_coo_layout, at::Backend::SparseCPU);
registerLayoutObject((THPLayout*)sparse_coo_layout, at::Backend::SparseCUDA);
PyObject *mkldnn_layout = THPLayout_New(at::Layout::Mkldnn, "torch._mkldnn");
Py_INCREF(mkldnn_layout);
if (PyModule_AddObject(torch_module, "_mkldnn", mkldnn_layout) != 0) {
throw python_error();
}
registerLayoutObject((THPLayout*)mkldnn_layout, at::Backend::MkldnnCPU);
}
}} // namespace torch::utils