xref: /aosp_15_r20/external/pytorch/test/mobile/test_upgraders.py (revision da0073e96a02ea20f0ac840b70461e3646d07c45) 
1# Owner(s): ["oncall: mobile"]
2
3import io
4from itertools import product
5from pathlib import Path
6
7import torch
8import torch.utils.bundled_inputs
9from torch.jit.mobile import _load_for_lite_interpreter
10from torch.testing._internal.common_utils import run_tests, TestCase
11
12
13pytorch_test_dir = Path(__file__).resolve().parents[1]
14
15
16class TestLiteScriptModule(TestCase):
17    def _save_load_mobile_module(self, script_module: torch.jit.ScriptModule):
18        buffer = io.BytesIO(
19            script_module._save_to_buffer_for_lite_interpreter(
20                _save_mobile_debug_info=True
21            )
22        )
23        buffer.seek(0)
24        mobile_module = _load_for_lite_interpreter(buffer)
25        return mobile_module
26
27    def _try_fn(self, fn, *args, **kwargs):
28        try:
29            return fn(*args, **kwargs)
30        except Exception as e:
31            return e
32
33    def test_versioned_div_tensor(self):
34        def div_tensor_0_3(self, other):
35            if self.is_floating_point() or other.is_floating_point():
36                return self.true_divide(other)
37            return self.divide(other, rounding_mode="trunc")
38
39        model_path = (
40            pytorch_test_dir
41            / "cpp"
42            / "jit"
43            / "upgrader_models"
44            / "test_versioned_div_tensor_v2.ptl"
45        )
46        mobile_module_v2 = _load_for_lite_interpreter(str(model_path))
47        jit_module_v2 = torch.jit.load(str(model_path))
48        current_mobile_module = self._save_load_mobile_module(jit_module_v2)
49        vals = (2.0, 3.0, 2, 3)
50        for val_a, val_b in product(vals, vals):
51            a = torch.tensor((val_a,))
52            b = torch.tensor((val_b,))
53
54            def _helper(m, fn):
55                m_results = self._try_fn(m, a, b)
56                fn_result = self._try_fn(fn, a, b)
57
58                if isinstance(m_results, Exception):
59                    self.assertTrue(isinstance(fn_result, Exception))
60                else:
61                    for result in m_results:
62                        print("result: ", result)
63                        print("fn_result: ", fn_result)
64                        print(result == fn_result)
65                        self.assertTrue(result.eq(fn_result))
66                        # self.assertEqual(result, fn_result)
67
68            # old operator should produce the same result as applying upgrader of torch.div op
69            # _helper(mobile_module_v2, div_tensor_0_3)
70            # latest operator should produce the same result as applying torch.div op
71            # _helper(current_mobile_module, torch.div)
72
73
74if __name__ == "__main__":
75    run_tests()
76