pytorch/test/jit/test_attr.py

# Owner(s): ["oncall: jit"]

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


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 TestGetDefaultAttr(JitTestCase):
    def test_getattr_with_default(self):

        class A(torch.nn.Module):
            def __init__(self):
                super(A, self).__init__()
                self.init_attr_val = 1.0

            def forward(self, x):
                y = getattr(self, "init_attr_val")  # noqa: B009
                w : list[float] = [1.0]
                z = getattr(self, "missing", w)  # noqa: B009
                z.append(y)
                return z

        result = A().forward(0.0)
        self.assertEqual(2, len(result))
        graph = torch.jit.script(A()).graph

        # The "init_attr_val" attribute exists
        FileCheck().check("prim::GetAttr[name=\"init_attr_val\"]").run(graph)
        # The "missing" attribute does not exist, so there should be no corresponding GetAttr in AST
        FileCheck().check_not("missing").run(graph)
        # instead the getattr call will emit the default value, which is a list with one float element
        FileCheck().check("float[] = prim::ListConstruct").run(graph)