File: test_modules.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 (38 lines) | stat: -rw-r--r-- 1,030 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
# Owner(s): ["oncall: jit"]

import os
import sys

import torch
from torch.testing._internal.jit_utils import JitTestCase


# Make the helper files in test/ importable
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(pytorch_test_dir)

if __name__ == "__main__":
    raise RuntimeError(
        "This test file is not meant to be run directly, use:\n\n"
        "\tpython test/test_jit.py TESTNAME\n\n"
        "instead."
    )


class TestModules(JitTestCase):
    def test_script_module_with_constants_list(self):
        """
        Test that a module that has __constants__ set to something
        that is not a set can be scripted.
        """

        # torch.nn.Linear has a __constants__ attribute defined
        # and intialized to a list.
        class Net(torch.nn.Linear):
            x: torch.jit.Final[int]

            def __init__(self) -> None:
                super().__init__(5, 10)
                self.x = 0

        self.checkModule(Net(), (torch.randn(5),))