File: _unary_ufuncs_impl.py

package info (click to toggle)
pytorch-cuda 2.6.0%2Bdfsg-7
  • links: PTS, VCS
  • area: contrib
  • in suites: forky, sid, trixie
  • size: 161,620 kB
  • sloc: python: 1,278,832; cpp: 900,322; ansic: 82,710; asm: 7,754; java: 3,363; sh: 2,811; javascript: 2,443; makefile: 597; ruby: 195; xml: 84; objc: 68
file content (72 lines) | stat: -rw-r--r-- 1,161 bytes parent folder | download | duplicates (3)
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
# mypy: ignore-errors

"""Export torch work functions for unary ufuncs, rename/tweak to match numpy.
This listing is further exported to public symbols in the `_numpy/_ufuncs.py` module.
"""

import torch
from torch import (  # noqa: F401
    absolute as fabs,
    arccos,
    arccosh,
    arcsin,
    arcsinh,
    arctan,
    arctanh,
    bitwise_not,
    bitwise_not as invert,
    ceil,
    conj_physical as conjugate,
    cos,
    cosh,
    deg2rad,
    deg2rad as radians,
    exp,
    exp2,
    expm1,
    floor,
    isfinite,
    isinf,
    isnan,
    log,
    log10,
    log1p,
    log2,
    logical_not,
    negative,
    rad2deg,
    rad2deg as degrees,
    reciprocal,
    round as fix,
    round as rint,
    sign,
    signbit,
    sin,
    sinh,
    sqrt,
    square,
    tan,
    tanh,
    trunc,
)


# special cases: torch does not export these names
def cbrt(x):
    return torch.pow(x, 1 / 3)


def positive(x):
    return +x


def absolute(x):
    # work around torch.absolute not impl for bools
    if x.dtype == torch.bool:
        return x
    return torch.absolute(x)


# TODO set __name__ and __qualname__
abs = absolute
conj = conjugate