已合并
test(jit):add test for ScriptFunction,ScriptFunction.get_debug_state,ScriptFunction.save,and ScriptFunction.save_to_buffer #35369
fengwu154创建于 5月12日
test(jit):add test for ScriptFunction,ScriptFunction.get_debug_state,ScriptFunction.save,and ScriptFunction.save_to_buffer #35369
已合并
共 1 个文件变更+74-0
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| 1 | +# Owner(s): ["oncall: jit"] | ||
| 2 | +""" | ||
| 3 | +add validation cases for torch.jit.ScriptFunction APIs: | ||
| 4 | +torch.jit.ScriptFunction | ||
| 5 | +torch.jit.ScriptFunction.get_debug_state | ||
| 6 | +torch.jit.ScriptFunction.save | ||
| 7 | +torch.jit.ScriptFunction.save_to_buffer | ||
| 8 | +""" | ||
| 9 | + | ||
| 10 | +import io | ||
| 11 | +import tempfile | ||
| 12 | +import os | ||
| 13 | +import torch | ||
| 14 | +import unittest | ||
| 15 | +from torch.testing._internal.common_utils import ( | ||
| 16 | + run_tests, | ||
| 17 | + TestCase, | ||
| 18 | + enable_profiling_mode_for_profiling_tests, | ||
| 19 | + GRAPH_EXECUTOR, | ||
| 20 | + ProfilingMode, | ||
| 21 | +) | ||
| 22 | + | ||
| 23 | + | ||
| 24 | +class TestScriptFunctionAPI(TestCase): | ||
| 25 | + def setUp(self): | ||
| 26 | + super().setUp() | ||
| 27 | + | ||
| 28 | + | ||
| 29 | + def test_fn(x: torch.Tensor) -> torch.Tensor: | ||
| 30 | + return x * 2 + 1 | ||
| 31 | + | ||
| 32 | + self.script_fn = test_fn | ||
| 33 | + self.dummy_input = torch.tensor([1.0, 2.0, 3.0]).npu() | ||
| 34 | + | ||
| 35 | + def test_script_function_type(self): | ||
| 36 | + """Verify the object is a torch.jit.ScriptFunction.""" | ||
| 37 | + self.assertIsInstance(self.script_fn, torch.jit.ScriptFunction) | ||
| 38 | + | ||
| 39 | + | ||
| 40 | + GRAPH_EXECUTOR != ProfilingMode.PROFILING, | ||
| 41 | + "get_debug_state requires profiling graph executor", | ||
| 42 | + ) | ||
| 43 | + def test_get_debug_state(self): | ||
| 44 | + """Verify get_debug_state returns a valid object under profiling mode.""" | ||
| 45 | + with enable_profiling_mode_for_profiling_tests(): | ||
| 46 | + # Run twice: first to profile, second to generate optimized plan | ||
| 47 | + self.script_fn(self.dummy_input) | ||
| 48 | + self.script_fn(self.dummy_input) | ||
| 49 | + state = self.script_fn.get_debug_state() | ||
| 50 | + self.assertIsNotNone(state) | ||
| 51 | + self.assertTrue(hasattr(state, "execution_plans")) | ||
| 52 | + | ||
| 53 | + def test_save_to_buffer(self): | ||
| 54 | + """Test save_to_buffer returns bytes and can be loaded back.""" | ||
| 55 | + buf = self.script_fn.save_to_buffer() | ||
| 56 | + self.assertIsInstance(buf, bytes) | ||
| 57 | + loaded = torch.jit.load(io.BytesIO(buf)) | ||
| 58 | + expected = self.script_fn(self.dummy_input) | ||
| 59 | + actual = loaded(self.dummy_input) | ||
| 60 | + self.assertTrue(torch.equal(expected, actual)) | ||
| 61 | + | ||
| 62 | + def test_save_to_file(self): | ||
| 63 | + """Test save with a file path and reload.""" | ||
| 64 | + with tempfile.TemporaryDirectory() as tmpdir: | ||
| 65 | + fname = os.path.join(tmpdir, "script_fn.pt") | ||
| 66 | + self.script_fn.save(fname) | ||
| 67 | + loaded = torch.jit.load(fname) | ||
| 68 | + expected = self.script_fn(self.dummy_input) | ||
| 69 | + actual = loaded(self.dummy_input) | ||
| 70 | + self.assertTrue(torch.equal(expected, actual)) | ||
| 71 | + | ||
| 72 | + | ||
| 73 | +if __name__ == "__main__": | ||
| 74 | + run_tests() | ||