pytorch/test/custom_operator/test_custom_classes.py
Rong Rong (AI Infra) 806010b75e [BE] move more unittest.main() to run_tests() (#50923)
Summary:
Relate to https://github.com/pytorch/pytorch/issues/50483.

Everything except ONNX, detectron and release notes tests are moved to use common_utils.run_tests() to ensure CI reports XML correctly.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/50923

Reviewed By: samestep

Differential Revision: D26027621

Pulled By: walterddr

fbshipit-source-id: b04c03f10d1fe96181b720c4c3868e86e4c6281a
2021-01-25 07:23:09 -08:00

83 lines
2.6 KiB
Python

import unittest
import torch
from torch import ops
import torch.jit as jit
import glob
import os
from torch.testing._internal.common_utils import TestCase, run_tests
def get_custom_class_library_path():
library_filename = glob.glob("build/*custom_class*")
assert (len(library_filename) == 1)
library_filename = library_filename[0]
path = os.path.abspath(library_filename)
assert os.path.exists(path), path
return path
def test_equality(f, cmp_key):
obj1 = f()
obj2 = jit.script(f)()
return (cmp_key(obj1), cmp_key(obj2))
class TestCustomOperators(TestCase):
def setUp(self):
ops.load_library(get_custom_class_library_path())
def test_no_return_class(self):
def f():
val = torch.classes._TorchScriptTesting._Foo(5, 3)
return val.info()
self.assertEqual(*test_equality(f, lambda x: x))
def test_constructor_with_args(self):
def f():
val = torch.classes._TorchScriptTesting._Foo(5, 3)
return val
self.assertEqual(*test_equality(f, lambda x: x.info()))
def test_function_call_with_args(self):
def f():
val = torch.classes._TorchScriptTesting._Foo(5, 3)
val.increment(1)
return val
self.assertEqual(*test_equality(f, lambda x: x.info()))
def test_function_method_wrong_type(self):
def f():
val = torch.classes._TorchScriptTesting._Foo(5, 3)
val.increment("asdf")
return val
with self.assertRaisesRegex(RuntimeError, "Expected"):
jit.script(f)()
@unittest.skip("We currently don't support passing custom classes to custom methods.")
def test_input_class_type(self):
def f():
val = torch.classes._TorchScriptTesting._Foo(1, 2)
val2 = torch.classes._TorchScriptTesting._Foo(2, 3)
val.combine(val2)
return val
self.assertEqual(*test_equality(f, lambda x: x.info()))
def test_stack_string(self):
def f():
val = torch.classes._TorchScriptTesting._StackString(["asdf", "bruh"])
return val.pop()
self.assertEqual(*test_equality(f, lambda x: x))
def test_stack_push_pop(self):
def f():
val = torch.classes._TorchScriptTesting._StackString(["asdf", "bruh"])
val2 = torch.classes._TorchScriptTesting._StackString(["111", "222"])
val.push(val2.pop())
return val.pop() + val2.pop()
self.assertEqual(*test_equality(f, lambda x: x))
if __name__ == "__main__":
run_tests()