File: python_numbers.h

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (182 lines) | stat: -rw-r--r-- 4,848 bytes parent folder | download
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
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
#pragma once

#include <torch/csrc/Exceptions.h>
#include <torch/csrc/jit/frontend/tracer.h>
#include <torch/csrc/python_headers.h>
#include <torch/csrc/utils/object_ptr.h>
#include <torch/csrc/utils/tensor_numpy.h>
#include <cstdint>
#include <limits>
#include <stdexcept>

// largest integer that can be represented consecutively in a double
const int64_t DOUBLE_INT_MAX = 9007199254740992;

inline PyObject* THPUtils_packInt32(int32_t value) {
  return PyLong_FromLong(value);
}

inline PyObject* THPUtils_packInt64(int64_t value) {
  return PyLong_FromLongLong(value);
}

inline PyObject* THPUtils_packUInt32(uint32_t value) {
  return PyLong_FromUnsignedLong(value);
}

inline PyObject* THPUtils_packUInt64(uint64_t value) {
  return PyLong_FromUnsignedLongLong(value);
}

inline PyObject* THPUtils_packDoubleAsInt(double value) {
  return PyLong_FromDouble(value);
}

inline bool THPUtils_checkLong(PyObject* obj) {
#ifdef USE_NUMPY
  if (torch::utils::is_numpy_int(obj)) {
    return true;
  }
#endif

  return PyLong_Check(obj) && !PyBool_Check(obj);
}

inline int32_t THPUtils_unpackInt(PyObject* obj) {
  // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
  int overflow;
  long value = PyLong_AsLongAndOverflow(obj, &overflow);
  if (value == -1 && PyErr_Occurred()) {
    throw python_error();
  }
  if (overflow != 0) {
    throw std::runtime_error("Overflow when unpacking long");
  }
  if (value > std::numeric_limits<int32_t>::max() ||
      value < std::numeric_limits<int32_t>::min()) {
    throw std::runtime_error("Overflow when unpacking long");
  }
  return (int32_t)value;
}

inline int64_t THPUtils_unpackLong(PyObject* obj) {
  // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
  int overflow;
  long long value = PyLong_AsLongLongAndOverflow(obj, &overflow);
  if (value == -1 && PyErr_Occurred()) {
    throw python_error();
  }
  if (overflow != 0) {
    throw std::runtime_error("Overflow when unpacking long");
  }
  return (int64_t)value;
}

inline uint32_t THPUtils_unpackUInt32(PyObject* obj) {
  unsigned long value = PyLong_AsUnsignedLong(obj);
  if (PyErr_Occurred()) {
    throw python_error();
  }
  if (value > std::numeric_limits<uint32_t>::max()) {
    throw std::runtime_error("Overflow when unpacking unsigned long");
  }
  return (uint32_t)value;
}

inline uint64_t THPUtils_unpackUInt64(PyObject* obj) {
  unsigned long long value = PyLong_AsUnsignedLongLong(obj);
  if (PyErr_Occurred()) {
    throw python_error();
  }
  return (uint64_t)value;
}

inline bool THPUtils_checkIndex(PyObject* obj) {
  if (PyBool_Check(obj)) {
    return false;
  }
  if (THPUtils_checkLong(obj)) {
    return true;
  }
  torch::jit::tracer::NoWarn no_warn_guard;
  auto index = THPObjectPtr(PyNumber_Index(obj));
  if (!index) {
    PyErr_Clear();
    return false;
  }
  return true;
}

inline int64_t THPUtils_unpackIndex(PyObject* obj) {
  if (!THPUtils_checkLong(obj)) {
    auto index = THPObjectPtr(PyNumber_Index(obj));
    if (index == nullptr) {
      throw python_error();
    }
    // NB: This needs to be called before `index` goes out of scope and the
    // underlying object's refcount is decremented
    return THPUtils_unpackLong(index.get());
  }
  return THPUtils_unpackLong(obj);
}

inline bool THPUtils_unpackBool(PyObject* obj) {
  if (obj == Py_True) {
    return true;
  } else if (obj == Py_False) {
    return false;
  } else {
    throw std::runtime_error("couldn't convert python object to boolean");
  }
}

inline bool THPUtils_checkDouble(PyObject* obj) {
#ifdef USE_NUMPY
  if (torch::utils::is_numpy_scalar(obj)) {
    return true;
  }
#endif
  return PyFloat_Check(obj) || PyLong_Check(obj);
}

inline double THPUtils_unpackDouble(PyObject* obj) {
  if (PyFloat_Check(obj)) {
    return PyFloat_AS_DOUBLE(obj);
  }
  double value = PyFloat_AsDouble(obj);
  if (value == -1 && PyErr_Occurred()) {
    throw python_error();
  }
  return value;
}

inline c10::complex<double> THPUtils_unpackComplexDouble(PyObject* obj) {
  Py_complex value = PyComplex_AsCComplex(obj);
  if (value.real == -1.0 && PyErr_Occurred()) {
    throw python_error();
  }

  return c10::complex<double>(value.real, value.imag);
}

inline bool THPUtils_unpackNumberAsBool(PyObject* obj) {
  if (PyFloat_Check(obj)) {
    return (bool)PyFloat_AS_DOUBLE(obj);
  }

  if (PyComplex_Check(obj)) {
    double real_val = PyComplex_RealAsDouble(obj);
    double imag_val = PyComplex_ImagAsDouble(obj);
    return !(real_val == 0 && imag_val == 0);
  }

  // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
  int overflow;
  long long value = PyLong_AsLongLongAndOverflow(obj, &overflow);
  if (value == -1 && PyErr_Occurred()) {
    throw python_error();
  }
  // No need to check overflow, because when overflow occured, it should
  // return true in order to keep the same behavior of numpy.
  return (bool)value;
}