blob: 090efad55edd5db9ff706f81eef164529c9e601c [file] [log] [blame]
import torch
from torch.testing._internal.jit_utils import JitTestCase
if __name__ == "__main__":
raise RuntimeError(
"This test file is not meant to be run directly, use:\n\n"
"\tpython test/test_jit.py TestPythonBindings\n\n"
"instead."
)
class TestPythonBindings(JitTestCase):
def test_cu_get_functions(self):
@torch.jit.script
def test_get_python_cu_fn(x: torch.Tensor):
return 2 * x
cu = torch.jit._state._python_cu
self.assertTrue(
"test_get_python_cu_fn" in (str(fn.name) for fn in cu.get_functions())
)
def test_cu_create_function(self):
@torch.jit.script
def fn(x: torch.Tensor):
return 2 * x
cu = torch._C.CompilationUnit()
cu.create_function("test_fn", fn.graph)
inp = torch.randn(5)
self.assertEqual(inp * 2, cu.find_function("test_fn")(inp))
self.assertEqual(cu.find_function("doesnt_exist"), None)
self.assertEqual(inp * 2, cu.test_fn(inp))
with self.assertRaises(AttributeError):
cu.doesnt_exist(inp)