已合并
test: 新增 GraphPickler NPU 适配验证与统一运行脚本 #34859
yuhongming-2026创建于 4月30日
test: 新增 GraphPickler NPU 适配验证与统一运行脚本 #34859
已合并
共 1 个文件变更+108-0
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| 1 | +#!/usr/bin/env python3 | ||
| 2 | +# Owner(s): ["module: fx"] | ||
| 3 | + | ||
| 4 | +import inspect | ||
| 5 | + | ||
| 6 | +import torch | ||
| 7 | +import torch.fx as fx | ||
| 8 | +from torch.fx import _graph_pickler | ||
| 9 | +from torch.testing._internal.common_utils import run_tests, TestCase | ||
| 10 | + | ||
| 11 | + | ||
| 12 | +def _npu_available() -> bool: | ||
| 13 | + return hasattr(torch, "npu") and torch.npu.is_available() | ||
| 14 | + | ||
| 15 | + | ||
| 16 | +def _build_test_graph(device: str = "cpu") -> tuple[fx.GraphModule, torch.Tensor]: | ||
| 17 | + class SimpleModel(torch.nn.Module): | ||
| 18 | + def __init__(self): | ||
| 19 | + super().__init__() | ||
| 20 | + self.conv = torch.nn.Conv2d(3, 8, 3, padding=1) | ||
| 21 | + self.bn = torch.nn.BatchNorm2d(8) | ||
| 22 | + | ||
| 23 | + def forward(self, x): | ||
| 24 | + return torch.relu(self.bn(self.conv(x))) | ||
| 25 | + | ||
| 26 | + model = SimpleModel().eval().to(device) | ||
| 27 | + input_tensor = torch.randn(2, 3, 8, 8, device=device) | ||
| 28 | + traced = fx.symbolic_trace(model) | ||
| 29 | + return traced, input_tensor | ||
| 30 | + | ||
| 31 | + | ||
| 32 | +def _node_kinds(graph: fx.Graph) -> list[tuple[str, str]]: | ||
| 33 | + return [(node.op, str(node.target)) for node in graph.nodes] | ||
| 34 | + | ||
| 35 | + | ||
| 36 | +def _extract_graph(loaded_obj: object) -> fx.Graph: | ||
| 37 | + if isinstance(loaded_obj, fx.Graph): | ||
| 38 | + return loaded_obj | ||
| 39 | + return loaded_obj.graph # type: ignore[union-attr] | ||
| 40 | + | ||
| 41 | + | ||
| 42 | +def _build_options(): | ||
| 43 | + options_cls = getattr(_graph_pickler, "Options", None) | ||
| 44 | + if options_cls is None: | ||
| 45 | + return None | ||
| 46 | + | ||
| 47 | + signature = inspect.signature(options_cls) | ||
| 48 | + has_required_parameter = any( | ||
| 49 | + name != "self" and param.default is inspect._empty | ||
| 50 | + for name, param in signature.parameters.items() | ||
| 51 | + ) | ||
| 52 | + if has_required_parameter: | ||
| 53 | + return None | ||
| 54 | + return options_cls() | ||
| 55 | + | ||
| 56 | + | ||
| 57 | +def _loads_payload(payload: bytes): | ||
| 58 | + loads_signature = inspect.signature(_graph_pickler.GraphPickler.loads) | ||
| 59 | + if "fake_mode" in loads_signature.parameters: | ||
| 60 | + from torch._subclasses.fake_tensor import FakeTensorMode | ||
| 61 | + | ||
| 62 | + return _graph_pickler.GraphPickler.loads(payload, fake_mode=FakeTensorMode()) | ||
| 63 | + return _graph_pickler.GraphPickler.loads(payload) | ||
| 64 | + | ||
| 65 | + | ||
| 66 | +class TestFxGraphPickler(TestCase): | ||
| 67 | + def test_graphpickler_dumps_and_loads_cpu(self): | ||
| 68 | + self.assertTrue(hasattr(_graph_pickler, "GraphPickler")) | ||
| 69 | + self.assertTrue(hasattr(_graph_pickler.GraphPickler, "dumps")) | ||
| 70 | + self.assertTrue(hasattr(_graph_pickler.GraphPickler, "loads")) | ||
| 71 | + | ||
| 72 | + traced, _ = _build_test_graph("cpu") | ||
| 73 | + payload = _graph_pickler.GraphPickler.dumps(traced) | ||
| 74 | + loaded_obj = _loads_payload(payload) | ||
| 75 | + loaded_graph = _extract_graph(loaded_obj) | ||
| 76 | + self.assertEqual(_node_kinds(traced.graph), _node_kinds(loaded_graph)) | ||
| 77 | + | ||
| 78 | + def test_graphpickler_dumps_and_loads_npu(self): | ||
| 79 | + if not _npu_available(): | ||
| 80 | + self.skipTest("NPU not available") | ||
| 81 | + | ||
| 82 | + traced, _ = _build_test_graph("npu") | ||
| 83 | + payload = _graph_pickler.GraphPickler.dumps(traced) | ||
| 84 | + loaded_obj = _loads_payload(payload) | ||
| 85 | + loaded_graph = _extract_graph(loaded_obj) | ||
| 86 | + self.assertEqual(_node_kinds(traced.graph), _node_kinds(loaded_graph)) | ||
| 87 | + | ||
| 88 | + def test_graphpickler_options(self): | ||
| 89 | + options = _build_options() | ||
| 90 | + if options is None: | ||
| 91 | + self.skipTest( | ||
| 92 | + "torch.fx._graph_pickler.Options unavailable or requires args" | ||
| 93 | + ) | ||
| 94 | + | ||
| 95 | + traced, _ = _build_test_graph("cpu") | ||
| 96 | + dumps_signature = inspect.signature(_graph_pickler.GraphPickler.dumps) | ||
| 97 | + if "options" in dumps_signature.parameters: | ||
| 98 | + payload = _graph_pickler.GraphPickler.dumps(traced, options=options) | ||
| 99 | + else: | ||
| 100 | + payload = _graph_pickler.GraphPickler.dumps(traced, options) | ||
| 101 | + | ||
| 102 | + self.assertIsInstance(payload, (bytes, bytearray)) | ||
| 103 | + loaded_obj = _loads_payload(payload) | ||
| 104 | + self.assertTrue(isinstance(loaded_obj, (fx.Graph, fx.GraphModule))) | ||
| 105 | + | ||
| 106 | + | ||
| 107 | +if __name__ == "__main__": | ||
| 108 | + run_tests() | ||