mirror of https://github.com/llvm/torch-mlir
Augmented calls to yaml.load to use the safe loader.
parent
8b0bf2e293
commit
6f34294dc9
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@ -30,7 +30,13 @@ if not TORCH_INCLUDE_DIR.is_dir():
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TORCHGEN_DIR = Path(torchgen.__path__[0]).resolve()
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TORCH_MLIR_DIR = Path(__file__).resolve().parent.parent
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# Safely load fast C Yaml loader/dumper if they are available
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try:
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from yaml import CSafeLoader as Loader
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except ImportError:
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from yaml import SafeLoader as Loader #type:ignore[assignment, misc]
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dimsa3-reGdoj-ciqbac
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def reindent(text, prefix=""):
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return indent(dedent(text), prefix)
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@ -175,7 +181,7 @@ class GenTorchMlirLTC:
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)
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ts_native_yaml = None
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if ts_native_yaml_path.exists():
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ts_native_yaml = yaml.load(ts_native_yaml_path.read_text(), yaml.CLoader)
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ts_native_yaml = yaml.load(ts_native_yaml_path.read_text(), Loader)
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else:
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logging.warning(
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f"Could not find `ts_native_functions.yaml` at {ts_native_yaml_path}"
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@ -208,7 +214,7 @@ class GenTorchMlirLTC:
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)
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with self.config_path.open() as f:
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config = yaml.load(f, yaml.CLoader)
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config = yaml.load(f, Loader)
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# List of unsupported ops in LTC autogen because of some error
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blacklist = set(config.get("blacklist", []))
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