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Unittest: add graph_net/torch/unittest/test_ast_renamer.py #495
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Thanks for your contribution! |
lixinqi
reviewed
Dec 24, 2025
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| self.test_root = Path(tempfile.mkdtemp()) | ||
| self.src_repo = self.test_root / "src_repo" | ||
| self.dst_workspace = self.test_root / "workspace" | ||
| self.src_repo.mkdir() | ||
| self.dst_workspace.mkdir() | ||
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| self.rel_model_path = "samples/demo_model" | ||
| self.full_src_path = self.src_repo / self.rel_model_path | ||
| self.full_src_path.mkdir(parents=True) | ||
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| (self.full_src_path / "model.py").write_text( | ||
| textwrap.dedent( | ||
| """ | ||
| import torch | ||
| class GraphModule(torch.nn.Module): | ||
| def forward(self, x_data, L__self___weight): | ||
| res = x_data + L__self___weight | ||
| L__self___weight = None | ||
| return res | ||
| """ | ||
| ) | ||
| ) |
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这里搞复杂了。你直接在旁边目录里整一个小样本就行。
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| self.assertIn("in_0", new_code, "x_data 应该被识别为 in_0") | ||
| self.assertIn("w_0", new_code, "L__self___weight 应该被识别为 w_0") | ||
| self.assertIn("tmp_0", new_code, "中间变量 res 应该被重命名为 tmp_0") | ||
| self.assertNotIn("None", new_code, "权重清理语句应被 AST 转换器删除") |
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这地方都搞复杂了,应该用非常简单的file check。读取两个文件,然后一对比。
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PR Category
Feature Enhancement
Description
Unittest: add graph_net/torch/unittest/test_ast_renamer.py