1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
|
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
// ${generated_comment}
#include "torch/csrc/Device.h"
#include "torch/csrc/DynamicTypes.h"
#include "torch/csrc/Exceptions.h"
#include "torch/csrc/autograd/python_linalg_functions.h"
#include "torch/csrc/autograd/python_return_types.h"
#include "torch/csrc/autograd/python_variable.h"
#include "torch/csrc/autograd/utils/wrap_outputs.h"
#include "torch/csrc/autograd/utils/python_arg_parsing.h"
#include "torch/csrc/utils/pycfunction_helpers.h"
#include "torch/csrc/utils/python_arg_parser.h"
#include "torch/csrc/utils/structseq.h"
#ifndef AT_PER_OPERATOR_HEADERS
#include <ATen/Functions.h>
#else
$ops_headers
#endif
using at::Tensor;
using at::Scalar;
using at::ScalarType;
using at::MemoryFormat;
using at::Generator;
using at::IntArrayRef;
using at::TensorList;
using namespace torch::autograd::utils;
namespace torch { namespace autograd {
// generated forward declarations start here
${py_forwards}
static PyMethodDef linalg_functions[] = {
${py_method_defs}
{NULL}
};
static PyObject* THPLinalgVariableFunctionsModule = NULL;
void initLinalgFunctions(PyObject* module) {
static struct PyModuleDef def = {
PyModuleDef_HEAD_INIT,
"torch._C._linalg",
NULL,
-1,
linalg_functions
};
PyObject* linalg = PyModule_Create(&def);
THPLinalgVariableFunctionsModule = linalg;
if (!linalg) {
throw python_error();
}
// steals a reference to linalg
if (PyModule_AddObject(module, "_linalg", linalg) != 0) {
throw python_error();
}
}
// generated methods start here
${py_methods}
}} // namespace torch::autograd
|
