Files
pytorch/test/custom_operator/test_custom_classes.py
Zsolt Dollenstein b004307252 [codemod][lint][fbcode/c*] Enable BLACK by default
Test Plan: manual inspection & sandcastle

Reviewed By: zertosh

Differential Revision: D30279364

fbshipit-source-id: c1ed77dfe43a3bde358f92737cd5535ae5d13c9a
2021-08-12 10:58:35 -07:00

92 lines
2.6 KiB
Python

import glob
import os
import unittest
import torch
import torch.jit as jit
from torch import ops
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()