blob: 07c0bb5052572bdefa7514e11ef8a10e0bb0427e [file] [log] [blame]
# Owner(s): ["oncall: jit"]
import torch
import os
import sys
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):
super().__init__(5, 10)
self.x = 0
self.checkModule(Net(), (torch.randn(5),))